Invixium’s Spot-r platform has been recognized as one of the leading IoT solutions transforming the construction industry, earning the #2 position in Construction Digital Magazine’s list of the “Top 10 IoT Devices for Construction”.

It is a significant recognition for a technology built to address one of the construction industry’s biggest challenges: gaining a clear, real-time understanding of what is happening across a complex and constantly changing worksite. As construction sites become increasingly connected, the ability to capture, analyze, and act on real-time data is changing how projects are managed. Spot-r’s position at #2 places the platform among the solutions being recognized for their role in advancing digitalization of the construction industry.

Designed for modern worksites, Spot-r is a cloud-based non-GPS platform featuring a proprietary and scalable mesh network, wearable tags, and actionable dashboards. The solution utilizes worker tags to collect and transmit data to the platform, delivering near real-time visibility, enhanced safety, and data-driven decision-making. Spot-r can help teams digitally manage evacuation and mustering, with the ability to help workers evacuate and muster at assembly points. Our RTLS solutions enable industrial worksites to muster thousands of workers in under 15 minutes, depending on the size and scale of the facility. Beyond emergency response, the platform has demonstrated the potential to drive measurable operational improvements, including a 10% increase in productivity, while helping organizations identify opportunities to better utilize their fleets and potentially return 30% of budgets tied to underutilized fleets.

Key Capabilities and Benefits

Cloud-Based and On-Premises Deployment

Organizations can choose the deployment model that best fits their operational and security requirements. Spot-r is available as both a cloud-based and on-premises solution, giving businesses flexibility in how they manage and access their site data.

Fast Installation with an Independent Mesh Network

Construction sites are rarely static, and technology deployed on them needs to be practical. Spot-r can be installed quickly and operates on an independent mesh network, reducing reliance on existing internal IT infrastructure and making it easier to deploy across active worksites.

Real-Time Location in Three Views

Knowing where people and equipment are can be critical when managing a large or multi-level construction project. Spot-r provides real-time location visibility in three modes: Blueprint, Map, and Building, helping teams view site activity in the format that makes the most sense for the task at hand. This visibility can also support safety initiatives, with Spot-r helping organizations achieve a 60% reduction in injury claim rates by providing greater insight into worker activity and site conditions.

Single Sign-On for Easier Access

Spot-r supports Single Sign-On (SSO), allowing organizations to integrate access into their existing identity and authentication environment. This simplifies user management while helping teams get the right people connected to the platform.

Interactive Dashboards and Analytics

Raw data is only useful when it can be understood and acted upon. Spot-r’s interactive dashboards turn site data into practical insights, helping teams monitor activity, identify trends, and make informed decisions based on what is happening across the worksite.

Secure, Encrypted Communication

Construction data can be operationally sensitive, particularly when it involves worker activity and site operations. Spot-r uses encrypted communication to help protect data as it moves through the system and support a secure connected environment.

Custom Reporting

Every organization has different operational priorities and reporting requirements. Spot-r supports custom reporting, allowing teams to access the information they need to evaluate site activity, review trends, and support ongoing safety and operational initiatives. By bringing these insights together, teams can also reduce the time required to respond to safety events, with reported improvements of up to 70% in time to safety.

Frequently Asked Questions

Here are the top questions our customers frequently ask us about our Worker Safety and Tracking solution, and are often surprised by the value our solution delivers.

1. How accurate is the location tracking?
Any tag that is within the mesh network can be tracked with up to 5 meters of accuracy.

2. How does the solution help with mustering?
Every tag on the site gives an audio alert to the worker when an “Evacuate Site” command is sent from the Spot-r platform. When this audio alert occurs, workers are trained and expected to evacuate to “Mustering Points.” Using the Spot-r software, our solution can easily count how many people are at the muster point, how many workers were on site during the evacuation, and where any missing workers are.

3. How much time did my contractors spend at the workplace compared to the schedule?
The Spot-r platform knows as soon as a person is on site and when they have left the site. Using this data, it is easy to calculate the time contractors spent at the workplace against the planned schedule.

4. Do I have a way of validating the invoice I received from my rental equipment provider? And do I have metrics for utilization rates by equipment class?
Yes. Equipment tags can help monitor how much heavy equipment was utilized on the site every month. Every time the machine or equipment turns on, its vibrations trigger the tags to send data to the Spot-r platform. Using this data, it is easy to calculate and report on the actual usage of equipment and compare it with the invoice received from the equipment provider.

5. Are there privacy concerns around the tracking solution? Will workers be tracked once they leave the site?
Invixium’s Worker Safety and Tracking solution does not use GPS for tracking. Our solution uses proprietary sub-Gigahertz frequencies. The tracking network is created over a designated area using Gateways and Relays. If a person or piece of equipment leaves this area, the system will not be able to track them.

Explore Invixium’s worker safety and tracking solutions for rugged industries to discover how Spot-r can bring real-time visibility and actionable intelligence to your worksite.

The post Spot-r Named a Top IoT Solution for Construction Safety and Operations appeared first on Invixium.

Adopting a digital twin solution can provide several benefits for your manufacturing organization beyond just greater cost savings. Digital twins enable data-driven decision-making to help organizations drive continuous improvement.

What is a Digital Twin in Manufacturing?

A digital twin in manufacturing is a virtual replica or representation of a physical asset, process, or system. Digital twins in manufacturing utilize sensors and IoT devices to collect data from the physical environment, creating a virtual representation of the work site. 

Digital twins incorporate real-time data integration, analytics, and simulation capabilities to enable advanced analysis and optimization of production lines and processes. Digital twins allow operations teams to monitor the performance of their assets and make data-informed decisions to improve efficiency, productivity, and product quality.

Applications for Digital Twins in Manufacturing

In the manufacturing industry, digital twin technologies allow for real-time monitoring, analysis, and optimization of nearly every aspect of a production line, as well as the facility. Beyond this, digital twins can be used in several ways in manufacturing settings.

1. Reduce Production Line Downtime

Industrial manufacturers lose an estimated $50 billion each year due to unplanned equipment downtime. Reducing equipment downtime as much as possible is key to improving production line efficiency and controlling production costs. 

A digital twin solution such as Spot-r helps optimize production lines by analyzing data from sensors, machines, and other production line equipment to show real-time equipment downtime and predict future downtimes. Spot-r combines computer-vision cameras, AI-powered data analytics software, and in-field devices, providing a comprehensive equipment monitoring solution.

2. Equipment Monitoring and Predictive Maintenance

Digital twins in manufacturing allow manufacturers to remotely monitor and control their equipment assets in real time. Additionally, digital twins can provide predictive maintenance capabilities, so manufacturers can create accurate planned maintenance schedules. This reduces the need for on-site inspections and unplanned equipment downtime.

Equipment utilization is an important metric for manufacturers, as inefficient equipment utilization increases overall operational costs. With a digital twin IoT solution such as Spot-r, manufacturers gain full visibility into real-time equipment usage, equipment downtimes, and authorized users within one intuitive dashboard. 

3. Identify Labor Productivity Bottlenecks

Digital twins are also used to help managers identify potential bottlenecks that are negatively impacting worker productivity. By transmitting data through sensors and wearable devices, managers can get instant insights into labor productivity metrics. 

By providing real-time monitoring and tracking of personnel, a manufacturing digital twin such as Spot-r helps improve worksite productivity. With its customizable dashboard, managers are able to identify areas of inefficiency and make necessary changes to improve worker productivity.

For example, Spot-r helped one contractor see that workers had long wait times in the toolroom, signing in and out of the control room, and getting on to the jobsite at the beginning of their shift. With Spot-r, they were able to hire more staff, automate check-ins, and stagger shift start times to improve sitewide efficiency. 

4. Quality Control and Defect Detection

A manufacturing digital twin analyzes data from sensors and cameras to detect product quality issues and defects in real-time. Manufacturers can then compare real-time data from the physical asset with the digital twin to identify deviations and implement corrective actions.

Digital twins often utilize predictive analytics and machine learning algorithms to proactively detect potential quality issues before they occur. By identifying product quality issues as they occur, manufacturing teams can quickly fix these issues, and overall product quality significantly improves. 

5. Emergency Preparedness and Worker Safety

Digital twins in manufacturing don’t just enable better equipment monitoring and improved decision-making, they can also greatly improve emergency response procedures and overall worker safety. 

Process manufacturing facilities are large, hazardous environments with several restricted-access zones. Keeping track of individuals entering and exiting those zones can be difficult with just CCTV security cameras, as CCTV can’t send automatic alerts if an unauthorized individual enters a restricted area. 

A digital twin solution with computer vision cameras such as Spot-r can monitor restricted-access zones and provide instant alerts whenever an unauthorized individual enters a restricted area. This helps keep workers and contractors safe, and prevent any potential safety issues that come with unauthorized access.

Digital twin technology such as Spot-r can also enable greater worker safety by sending real-time alerts and automating emergency protocols. Spot-r includes wearable safety devices for workers and contractors, so during emergencies managers can identify where all workers are instantaneously and instruct them to meet at a mustering point. When a worker is injured on the job, managers receive a fall-detection alert and first responders are deployed right away. 

6. Product Design and Development

By implementing a digital twin solution, manufacturers can simulate and test product designs virtually before beginning physical production. A manufacturing digital twin can compile real-time data from sensors and IoT devices on physical assets, and this data can be used to refine and improve product design. 

During the product development and testing phases, digital twins can make it much easier to identify and address design flaws and performance issues. A digital twin can also enable rapid prototyping through virtual simulations instead of building multiple physical models, which can be time-consuming and expensive. 

Improve Production Efficiency with Digital Twins in Manufacturing

Digital twin technology in the manufacturing industry will continue to reshape industrial operations and revolutionize manufacturers’ businesses. But the need for manufacturers to adopt a digital twin is becoming increasingly essential as competitors adopt IoT and digital twin solutions.

Our digital twin IoT solution, Spot-r, meets the unique safety and productivity requirements of large process manufacturing organizations. Spot-r is entirely customizable to your operational processes, and provides comprehensive data analytics and AI-powered recommendations for managers to help reduce unplanned downtime, improve production efficiency, and realize greater cost savings.

Not only does Spot-r help your organization achieve these outcomes, Spot-r also helps drive continuous improvement and innovation in your organization by enabling data-driven decision-making. All data such as equipment downtime, OEE, and time on tools is aggregated into one intuitive dashboard, so operations teams have full insight into potential bottlenecks, safety hazards, and workforce productivity. 

Deploying Spot-r has helped our clients increase time-on-tools by an average of 10% within the first quarter and realize productivity gains of 25% or more, translating into millions of dollars that can be reallocated within a worksite.

Book a Demo of Spot-r Today

See how Spot-r can drastically improve your organization’s production efficiency by booking a demo or learning more about our digital twin solutions for process manufacturing organizations.

The post Top 6 Applications of Digital Twins in the Manufacturing Industry appeared first on Invixium.

However, when organizations implement tools and solutions that help site managers gain greater worksite visibility, these scheduling delays can be avoided. We’ll discuss actionable strategies to improve turnaround management in your organization. We’ll also discuss how IoT solutions can drastically reduce turnaround times and save your organization millions of dollars in turnaround costs.

What is a Turnaround?

A turnaround on an industrial site refers to a planned and scheduled event where operations are temporarily halted or minimized to conduct maintenance, repairs, upgrades, and inspections. 

Turnarounds are typically conducted at regular intervals or when specific events, such as the expiration of equipment warranties or the need to comply with regulatory requirements, occur. The duration of a turnaround can range from a few days to several weeks or months, depending on the scale and scope of the turnaround activities.

Common Challenges in Turnaround Management

Industrial turnarounds are a complex process involving hundreds of contract workers and numerous equipment assets at a facility. Since these facilities are so large, site managers often have little visibility into all workers and equipment present at any given moment. This lack of complete worksite visibility makes it more difficult for site managers to coordinate all of the moving parts of a turnaround. 

Not only does low visibility make it difficult for site managers to manage turnarounds but it also can create potential safety hazards. For example, if a worker is injured on the job, and site managers aren’t immediately made aware of it, it will take longer for them to locate the worker and send first responders. IIoT Solutions are key to improving turnaround management, as well as the implementation of other important strategies. 

Strategies to Improve Turnaround Management & Planning

Improving turnaround management comes down to focusing on three primary areas: pre-turnaround planning, risk assessment, and safety planning. IoT solutions can help you automate many processes associated with these tasks.

1. Set Clear Objectives & Allocate Resources

During pre-turnaround planning, you’ll need to define specific goals and outcomes you aim to achieve during the turnaround. Efficient pre-turnaround planning can help identify potential logistical pinch points. 

For example, one petrochemical contractor was hoping to increase the speed of their turnaround efforts, so during pre-turnaround planning they analyzed what was causing a lack of productivity within their workforce. They found that workers had long wait times in the toolroom, signing in and out of the control room, and getting on to the job site at the beginning of their shift. They adopted an IoT solution that helped them automate shift check-ins, and stagger shift start times to improve sitewide efficiency.

From there, you’ll determine the necessary resources required for the turnaround, including personnel, equipment, materials, and external contractors. You’ll need to ensure that you’re allocating resources effectively, considering factors such as availability, cost, expertise, and compatibility with project requirements.

2. Set Budgets and Estimate Costs

80% of turnarounds end up going over budget by at least 10%. To control costs, developing a comprehensive budget that covers all aspects of the turnaround, including labor, materials, equipment rental, and contractor fees is essential. You’ll want to consider potential cost overruns and incorporate contingency funds to handle unexpected issues.

3. Optimize Scheduling and Coordination

Once you’ve established your budgets, you’ll then develop a detailed schedule that breaks down the turnaround into manageable tasks. Coordinate activities among different teams, contractors, and suppliers to ensure smooth execution. Adopting an IoT solution that allows for greater site visibility will help you monitor progress regularly and adjust the schedule as needed to minimize delays. 

4. Implement IoT Technology for Greater Site Visibility

To improve turnaround management you need to have full site visibility into equipment, workers, and contractors. On large industrial worksites, it’s nearly impossible to accomplish this without implementing sitewide visibility solutions. 

Spot-r IoT software is a comprehensive solution that combines wearable safety technology, AI-powered computer vision cameras, and cloud-based data analytics to capture decision-grade data from your site in almost real time. Contractors and workers can wear the Spot-r device, and you’ll get access to an easy-to-use dashboard that displays all worker locations, so you can validate where your workforce is at all times. 

5. Conduct a Risk Assessment

To keep workers safe and minimize delays, you should conduct a comprehensive risk assessment to identify potential hazards, safety concerns, and operational risks. IoT technology such as Spot-r can help you conduct an effective risk assessment. For example, Spot-r can identify how many workers are in a specific workzone or  area, and if restricted areas are easily accessible to non-authorized personnel.  

Once you’ve identified all potential risks, you should then develop risk mitigation strategies and contingency plans to address these issues. For example, establishing a mustering point for contractors in the event of an emergency. You should also ensure that all workers are trained in safety protocols and adhere to strict safety measures throughout the turnaround.

6. Analyze Worker Productivity 

Effective turnaround management requires optimizing worker productivity on industrial work sites. To optimize and improve labor productivity, you should first get a clear understanding of your workforce’s productivity by looking at key metrics such as time on tools, amount of work completed, and labor efficiency variance. 

To do this effectively, you need to have this data readily available. An IoT solution such as Spot-r collects data from computer vision cameras, then aggregates worker productivity data into one user-friendly dashboard. Spot-r then provides personalized recommendations for improving labor productivity and efficiency using AI. 

For example, Spot-r can tell you where the turnaround workforce is spending their time and can help measure a  contractor or crew’s zone productivity benchmarks. Spot-r can also tell you how long workers are spending in each zone, and help you improve your time on tools metrics. By analyzing labor productivity data and making changes to your processes based on that data, your organization can save valuable time and significant cost savings on turnarounds. Additionally, by using Spot-r, contractors on turnaround projects consistently operate at around 50% time-on-tools. 

7. Adopt Equipment Monitoring Solutions 

Industrial facilities have hundreds, if not thousands, of equipment assets. It’s incredibly difficult to keep track of equipment maintenance needs and measure utilization for every single piece of equipment on a job site without a large workforce. IoT solutions such as Spot-r can provide site managers with advanced equipment metrics such as real-time usage, downtime, OEE, and efficiency in one user-friendly dashboard. 

With Spot-r, you can simply attach the in-field device to each piece of equipment, and you’ll get instant access to all important equipment metrics in your dashboard. Spot-r can also help you predict and prevent future equipment downtimes so you can improve turnaround management and pre-turnaround planning. 

Additionally, organizations are often overbilled by their equipment rental partner for underutilized equipment by 20% or more, leading to unnecessarily high equipment costs. Adopting an equipment monitoring solution such as Spot-r will ensure that every piece of equipment is accounted for and that any underutilized equipment can be removed from the premises. This helps organizations save millions of dollars on underutilized equipment and helps ensure equipment efficiency.

Spot-r IoT Solutions Can Significantly Improve Turnaround Management

Energy, manufacturing, construction, and large industrial facilities can save valuable time and millions of dollars in turnaround costs by setting effective budgets, allocating resources properly, setting measurable goals, and gathering data on equipment and worker resources using IoT solutions. 

Implementing IoT solutions such as Spot-r can help your organization improve turnaround management. For example, one Fortune 500 Fertilizer and Chemical company didn’t have full visibility into where productivity bottlenecks were occurring on the worksite during turnarounds and was unable to obtain accurate employee headcounts. 

Implementing Spot-r helped them gain greater visibility into productivity bottlenecks, resolve those bottlenecks, and achieve six-figure savings on their turnaround project. Take a look at this case study to see the full results. 
Ready to see how Spot-r can help your organization improve turnaround management? Request a demo of Spot-r to see how.

The post How Industrial Sites Can Improve Turnaround Management and Planning appeared first on Invixium.

The Current State of the Energy Industry

The energy industry is undergoing a major transformation from traditional sources of fuel to renewable energy sources like solar, wind, and hydro. This shift comes with a variety of challenges, including technological limitations, and costs associated with installation and maintenance.

Despite these challenges, the global transition towards renewables has been gaining traction in recent years, with more investments being made to develop new technologies and strategies. For example, businesses are increasingly looking towards AI-powered analytics and cloud computing to increase efficiency.

Digital transformation in the energy industry is key to unlocking potential opportunities that come with this shift.

What is Digital Transformation in the Energy Industry?

Digital transformation in the energy industry involves harnessing technology to transform the way organizations do business.

In the energy industry, adopting new tech solutions can help improve efficiency in various sites such as oil, and gas production facilities or renewable power plants. Smart grids and intelligent systems are other energy industry trends that facilitate energy management on a detailed level.

5 Solutions Driving Digital Transformation in the Energy Industry

Here are a few different solutions and technologies that are revolutionizing digital transformation in the energy industry:

1. Internet of Things (IoT)

IoT technology allows devices to communicate with each other. These connected devices can monitor people and equipment within their environment through various sensors like temperature or pressure sensors and send this information back to a central system for analysis. This creates an intelligent ecosystem where machines can learn from each other’s experiences and make decisions based on data-driven insights.

Triax Technologies is a leader in the IoT field and provides end-to-end solutions for digital transformation in the energy industry. Our technology platform, Spot-r, can provide alerts for maintenance, detect anomalies and even predict machinery failure.

Benefits of IIoT

In the energy industry, Industrial Internet of Things (IIoT) solutions have many benefits, including:

• Allowing companies to remotely monitor equipment health in real-time, enabling them to identify potential issues before they escalate into critical problems, causing downtime or costly repairs
• Predicting when equipment will require maintenance based on historical usage patterns, reducing unplanned outages, and maximizing asset life cycles
• Facilitating better control over power consumption at industrial sites by analyzing usage trends across various timescales, such as daily, weekly, and monthly intervals
• Improving worker safety by monitoring environmental conditions, such as gas leaks or extreme temperatures

For example, Spot-r keeps track of where your equipment is, who is using it, and how often it’s being used.

2. Big data analytics

Big data refers to the massive amounts of information gathered from various sources and stored for analysis. In the energy industry, big data analytics can be used to gain insight into customer behavior, identify new market opportunities, optimize operations, and improve safety.

Benefits of big data analytics

By harnessing big data analytics capabilities combined with AI algorithms like machine learning models or neural networks, companies can:

• Gain actionable insights into their operations, enabling them to make better-informed decisions
• Detect potential equipment failures through continuous monitoring and real-time analysis, allowing proactive measures to be taken before costly downtime occurs

For example, our Spot-r cloud-based dashboard allows both on-site supervisors and off-site management to have real-time access to operations data for analysis.

You can access the dashboard anytime and from any device to get a complete overview of your workforce, equipment, site operations, and safety.

3. Artificial intelligence

At its base level, artificial intelligence (AI) means using machines to do things that previously required human intelligence. AI enables computers to recognize patterns in data, learn from their mistakes and make decisions without human input.

Benefits of AI

The benefits of AI in the energy industry are:

• Analyzing massive volumes of data at lightning speed (much faster than humans)
• Addressing customer service queries and issues
• Identifying risks and predicting potential problems

4. Blockchain

Blockchain is best known for facilitating cryptocurrency, but it can also be used in other industries, including the energy sector.

Benefits of blockchain

The benefits of blockchain include:

• Facilitating peer-to-peer (P2P) energy trading, which allows individuals to buy and sell energy from each other without having to go through an intermediary or utility company.
• Ensuring the secure and reliable transfer of data between connected devices. 
• Facilitating energy efficiency by allowing energy producers and consumers to track energy usage in real-time. This helps reduce waste, optimize operations, and save money.

5. Renewable energy

Renewable energy refers to energy from natural sources such as the sun (solar energy) and wind (wind energy). 

Benefits of renewable energy

The benefits of renewable energy solutions include:

• Reducing emissions and combating climate change
• Reducing dependence on fossil fuels
• Lowering energy costs for consumers
• Providing backup power in case of outages

Benefits of Digital Transformation in the Energy Industry

The benefits of digital transformation in the energy industry include:

• Improved operational efficiency: By automating manual tasks through IIoT devices or AI-driven systems, companies can significantly increase their productivity levels while reducing human-error risks.
• Better decision-making: Leveraging big data analytics enables organizations to gain valuable insights from vast amounts of information collected by sensors throughout their infrastructure networks. Companies can then use these insights to inform decision-making on optimizing resource allocation or predicting equipment maintenance needs.
• Innovative business models: Digital transformation in the energy industry opens up opportunities for companies within the energy sector to develop new revenue streams by offering value-added services such as real-time monitoring capabilities via mobile applications.
• Enhanced sustainability: By adopting renewable energy sources and implementing advanced technologies that optimize energy consumption, companies can significantly reduce their carbon footprint and contribute to global efforts towards combating climate change.

Challenges of Digital Transformation in the Energy Industry

Despite its numerous benefits, digital transformation in the energy industry also presents several challenges for organizations. Some critical obstacles within the power and energy industry include:

• Cybersecurity risks: Preventing unauthorized access is critical to ensure safety, privacy, and protection of proprietary information.
• Lack of skilled workforce: The speed of developments in digital transformation in the energy industry means that many companies can struggle to find workers with the ability to work with these new technologies.
• Inadequate investment: Funding remains a barrier for many companies looking to implement digital transformation in the energy industry initiatives as they often require substantial upfront investments.

What is the Role of Digital Technology in the Energy Transition?

Digital technology facilitates the integration of renewable energies, enhances grid management, and supports demand-side management through smart meters and IIoT devices.

Digital solutions like AI and big data analytics also help optimize operations and predict equipment maintenance needs.

How Is Technology Changing the Energy Industry?

Digital transformation is revolutionizing the energy industry by introducing innovative solutions that improve efficiency while reducing carbon emissions. Key advancements that will impact on the future of the energy industry include:

• Increased adoption of renewable energies
• Development of efficient storage systems
• Implementation of smart grids for better load balancing
• Utilization of IIoT devices for real-time monitoring
• Application of AI and big data analytics for enhanced decision-making

How Spot-r is Critical for Digital Transformation in the Energy Industry

The future of the energy industry is digital, and organizations must begin the process of digital transformation to remain competitive in an increasingly dynamic landscape.

Overall, digital transformation in the energy industry is a complex process that requires careful planning and execution. The benefits of implementing IIoT solutions, big data analytics and AI, blockchain technology, and renewable energies are numerous but come with their own set of challenges.

However, by embracing these technologies and solutions, companies can improve operational efficiency, reduce costs, and increase safety measures while enhancing sustainability.

Schedule a Demo of Spot-r to Jumpstart Your Digital Transformation Efforts

If you’re looking to implement digital transformation in the energy industry, Triax Technologies can help. Since 2012, we have provided a labor productivity platform to connect challenging environments across North America. Our IIoT platform, Spot-r, offers real-time, data-driven visibility to improve safety, streamline site access, boost worksite efficiency, and improve evacuation and muster procedures. 

Book a demo today to see how Spot-r can jumpstart your organization’s digital transformation efforts, or learn more about our Spot-r platform.

The post 5 Solutions Leading Digital Transformation in the Energy Industry appeared first on Invixium.

Improving labor efficiency can also have a spillover impact on other aspects of your organization. For instance, automating the attendance process using Spot-r, our IIoT platform, will not just free up workers’ time during the check-in and check-out process, but it also results in a more streamlined data collection, helping operational leaders become more efficient.. In this useful guide, we’ll explore everything you need to know about calculating your worksite labor efficiency variance.

How to Calculate the Labor Efficiency Variance?

Labor efficiency variance measures the efficiency of actual labor compared to expectations. The variance will highlight production processes that took up more time than originally anticipated. If the labor efficiency variance is very high, industrial engineers can review the process and see if they can tweak certain aspects of the production to achieve a more favorable variance. For instance, industrial engineers decide that automation is the key to increasing efficiency. Or they could revise the workflow, simplify product design, or convey clearer instructions to workers to improve the labor efficiency variance.

To calculate this number, here’s the labor efficiency variance formula:

Labor efficiency variance = (standard hours – actual hours) x labor rate

For example, industrial engineers decide that it takes an hour to make a product. This assumption is usually based on historical data, the availability of materials, the efficiency of the workers, and equipment capacity. However, it turns out that it actually took 1.5 hours to make the product. And therefore, 1,500 hours were spent to make 1000 products. If the labor rate is $15 per hour, the labor efficiency variance is:

(1,000 hours – 1,500 hours) x $15/hour= – $7,500

This means it took $7,500 more than anticipated to make 1000 pieces of the product. Now imagine if your company makes hundreds of thousands of pieces of the product month in and month out. This is why it’s vital to always track this variance and identify bottlenecks in your production process using Spot-r so that you can improve labor efficiency.

The Difference Between Labor Efficiency and Labor Productivity

Productivity and efficiency are often used interchangeably in business. Although these concepts are different in the strictest sense of these words, they are interdependent, but both are key metrics that determine how well your workforce is performing.

Labor productivity refers to the work output accomplished using the resources available. Productivity is more on getting as much output given a certain timeframe while efficiency is focused on getting the same amount of output in less amount of time. Whereas efficiency is focused more on work quality, productivity is more about work quantity.

Labor productivity is measured by using this formula:

Productivity = Work Output / Work Input

For example, a manufacturing company produces 100 widgets per day in an 8-hour workday. However, after a change of operations manager, the company is able to produce 150 widgets per day using the same equipment as before and with the same number of workers. That means the company has become 1.5x more productive than it was before.

To be competitive in today’s business environment, it’s vital that you strike a good balance between productivity and efficiency. But if you have to start somewhere, it’s best to monitor and optimize productivity first before working on labor efficiency. 

Focusing on doing more with the same input (productivity) instead of doing the same work with less time (efficiency) allows you to pour your energy into creating and optimizing the production process first from the ground up.

Think of productivity as the raw measure of performance. And once you have the system running, you can refine it and add efficiency to the mix so that you don’t measure performance based on the number of outputs alone, but on high-quality outputs that are generated with the least amount of resources possible.

Factors that Affect Labor Efficiency In Industrial Worksites

Factors that affect efficiency vary from one industry to another. In general, however, if you want to improve your organization’s labor efficiency, these are the key factors that you need to focus on:

1. Workers’ skills

An organization can only be as efficient as its workforce. If you want to optimize labor efficiency, investing in the workers is imperative. Trained employees will always be more efficient than untrained ones as they understand the intricacies of complex tasks more. With advanced training, they’re also empowered to solve more problems as it arises on the worksite.

2. Production processes 

Another factor that affects efficiency is the production flow. Make sure there are no bottlenecks in the production line that can impede the process. For example, it is vital that there’s a balance of workloads between workers in the assembly line. Otherwise, some workers may be getting the bulk of the work while others are not pulling their own weight. Spot-r POI Tags solve this challenge by allowing you to monitor the worksite, highlighting information like productive and unproductive areas.

3. Equipment and maintenance

One factor that could adversely impact efficiency is machine breakdown. Equipment issues will always be a problem you have to contend with in an assembly line. However, the one mitigating factor that can help with your efficiency is your organization’s ability to fix and resolve issues when they arise. And Spot-r helps you monitor equipment usage so you will know unproductive machinery in real-time. 

4. Working conditions

Worksite conditions at industrial sites can be rugged and present a variety of challenges. With a large scale of both contract and non-contract workers, procedures and policies can be difficult to implement and maintain. Additionally, harsh worksite conditions like weather, temperatures can present a number of considerations as well. 

5. Technology

When it comes to seeking efficiency, technology is your best friend. Tedious and repetitive tasks can be automated so you can free up more work hours for other important tasks. For instance, more and more companies are using IoT software like Spot-r by Triax to streamline labor management, optimize operations, and monitor machine and equipment utilization, to name a few.

How Companies Use IoT Software to Track and Improve Labor Efficiency

IoT technology offers a wide range of innovative solutions to common worksite challenges, which include site safety compliance, equipment utilization, and labor efficiency. In particular, an IoT-integrated workforce improves labor efficiency by automating processes, optimizing the use of resources, identifying bottlenecks in the assembly line, and preempting safety risks.

IoT software like Spot-r collects and analyzes comprehensive data from your worksite in real-time. From the dashboard, you can see the real-time snapshot of your entire worksite, your available workforce, their corresponding certifications, and the utilized equipment. During emergencies, you can also use the dashboard to trigger the site wide alarms and monitor evacuation progress. This will boost your company’s emergency preparedness and reduce evacuation time. In fact, adopting a solution such as Spot-r has helped companies lower crucial evacuation and mustering times by at least 70% or more. 

On top of that, with the IoT wearable device like Spot-r Tag, employees can automatically clock in and out of the site without the hassle of filling out the time sheet. Management can also easily manage access control for restricted areas. In terms of safety, the wearable device has free-fall detection capability and a push-button feature to alert the safety manager in case of emergencies. 

See How Spot-r Can Help Your Worksite Improve Labor Efficiency & Productivity

Spot-r IoT solutions provide the innovative technology you’re looking for to boost your company’s labor efficiency and improve worker productivity. Request a demo of Spot-r today to see how!

The post Do You Know Your Worksite Labor Efficiency Variance? appeared first on Invixium.

What is Labor Productivity?

Labor productivity can be expressed as the quantity of output created per unit of labor input, like hours worked or personnel employed.

In the manufacturing industry, U.S. labor productivity is measured by evaluating the efficiency of workers in producing goods or providing services. 

Importance of Labor Productivity on Industrial Worksites

In today’s competitive global market, improving labor productivity is essential for companies to operate at the highest levels of efficiency. On industrial worksites specifically, enhancing labor productivity can result in:

• Faster completion times for projects
• Better allocation and management of human resources
• Reduced waste due to inefficiencies
• An improved safety culture

To achieve these benefits, organizations must measure their current performance accurately.

What Are the Three Factors of Labor Productivity?

Labor productivity is measured by these three factors:

• Human capital: This refers to the knowledge, experience, and skill of workers within your organization — do your workers have the proper training and education to do their jobs well?
• Work environment: This encompasses the physical and psychological conditions of your workplace — are your workers physically and psychologically safe at work? What can you do to minimize risks of injury or other harm?
• Technology: This includes any tools, machines, or systems used to streamline operations and increase efficiency — do your workers have the right tools and systems to do their jobs?

Methods for Measuring Labor Productivity

What is labor productivity measured by? To accurately measure worksite labor efficiency variance, companies can employ various options, including output-based, input-based, and hybrid approaches. Each method has its strengths and weaknesses, depending on the situation.

Output-based measures

When using output-based measures, labor productivity is measured by assessing the output produced per unit of labor input (e.g., hours worked or the number of employees). Some common examples include:

• Gross Domestic Product (GDP) per hour worked: A macroeconomic indicator that compares countries’ economic performance by dividing GDP by total working hours.
• Revenue per employee: Calculates revenue generated divided by the number of employees within an organization.
• Pieces produced per worker: Evaluate manufacturing efficiency by comparing production volume with workforce size.

Input-based measures

When using input-based approaches, labor productivity is measured by inputs such as wages paid or investments made into human capital development programs like training initiatives.

• Labor cost per unit produced: Determines the average cost incurred in producing one unit through direct labor expenses like salaries or hourly wages.
• Average training investment per employee: Assesses organizational commitment towards developing talent by calculating total spending on employee development initiatives divided by workforce size. 

Hybrid methods

Hybrid methods mean that labor productivity is measured by both output and input-based approaches to provide a more comprehensive understanding of U.S. labor productivity. These techniques consider multiple factors that influence worker performance.

• TFP: TFP is a multifaceted method that considers the combined effects of various components, such as labor, capital, and technological progressions, in producing economic output.
• Labor efficiency ratio: Compares actual hours worked with standard hours required for completing tasks, highlighting discrepancies between expected and realized workloads.

Advantages and Disadvantages of Measurement Methods

The advantages of using an output-based approach include greater accuracy in measuring labor performance, while input-based methods focus on long-term investments.

On the other hand, hybrid techniques provide a more holistic view of labor productivity but may take longer to implement.

Ultimately, the choice comes down to your organizational goals and time constraints.

What is a Good Labor Productivity Percentage?

Some say an excellent U.S. labor productivity percentage is between 70-75%. This means that workers spend 70-75% of their work time being productive and the rest of the time engaging in other activities, such as breaks, meetings, or training.

However, labor productivity will vary depending on the industry, organization, and other factors. Generally speaking, a higher labor productivity percentage is preferable as it indicates more output is being generated with less input. However, depending on the context, even small productivity gains can significantly impact an organization.

Role of Technology in Measuring Labor Productivity

Advanced tools like sensors, wearables, and Internet-of-things (IoT) devices play an increasingly important role in measuring U.S. labor productivity by collecting real-time data from various aspects of industrial processes. These technologies enable companies to monitor equipment utilization rates more closely while tracking workforce activities more precisely than ever before.

Sensors and wearables

Sensors and wearables are transforming the way businesses measure labor productivity on worksites. By providing wearables that monitor their movements, location, and vital signs such as heart rate or body temperature, companies turn each worker into a connected worker. They can gain valuable insights into worker productivity and safety.

For example, based on biometric data collected throughout the day, a sensor-enabled hard hat can detect where worker bottlenecks occur. This information helps supervisors make informed decisions about work allocation and breaks to ensure optimal performance.

IoT devices

The Internet of Things (IoT) refers to the network of interconnected devices that communicate through the Internet without human intervention and has revolutionized how industries approach U.S. labor productivity measurement.

IoT technology allows for seamless integration between machines and software systems across different stages of production processes.

• Data collection: IoT devices collect vast amounts of data from various sources, such as machine performance, worker activity, and environmental conditions. The amassed information is analyzed to detect tendencies and structures that can be employed to refine operations.
• Real-time monitoring: IoT-enabled systems provide real-time visibility into the entire production process. Managers can track equipment utilization rates, monitor worker productivity, and quickly address issues.
• Predictive maintenance: By analyzing historical data collected by IoT devices, companies can predict when equipment might require maintenance or replacement. This proactive approach helps reduce downtime and improve overall efficiency.

Incorporating technology like sensors, wearables, and IoT devices into labor productivity measurement strategies enhances accuracy and allows for more informed decision-making in managing workforce activities on industrial work sites.

As these technologies advance rapidly, businesses will have even greater opportunities to boost their operational efficiency through improved labor productivity management.

Spot-R™ IIoT Platform’s Impact on Industrial Worksite Efficiency

Spot-R can be used to measure labor productivity on industrial worksites, including its equipment monitoring and utilization features.

By leveraging Spot-R, companies can better monitor equipment utilization rates while gaining valuable insights into on-site worker activities, ultimately leading to increased efficiency across entire worksite ecosystems.

Equipment monitoring

Spot-R offers features designed to help site managers and supervisors track the performance of their assets and workforce. Some key functionalities include:

• Real-time equipment tracking: The system provides real-time data on the location, status, and usage of machinery and tools at any given time. This information allows for a more efficient allocation of resources based on demand or project requirements.
• Maintenance alerts: Spot-R helps prevent costly downtime by sending notifications when maintenance is due or when an equipment issue arises. This proactive approach ensures that problems are addressed before they escalate into major setbacks.
• Data analytics and reporting: The platform collects vast amounts of data from sensors installed throughout the worksite. These can then be analyzed using advanced analytics tools to identify trends in productivity levels over time and areas where improvements may be needed.

Use cases and applications

Beyond just measuring labor productivity, there are numerous applications for the Spot-R IIoT solution across various industries such as construction, manufacturing, mining, oil and gas exploration, among others.

Examples include:

• Worker safety: Monitor worker safety by tracking their location, detecting falls or accidents, and sending alerts in case of emergencies. This assists in lessening the possibility of accidents and guarantees a safer working environment for all.
• Scheduling optimization: By providing real-time data on equipment usage and labor productivity levels, Spot-R enables site managers to make informed decisions about scheduling work shifts and allocating resources more effectively based on project needs while minimizing downtime due to maintenance or other factors.
• Compliance and regulatory reporting: The Spot-R system simplifies compliance with industry regulations by automatically generating reports that detail equipment usage rates as well as worker hours spent on various tasks throughout the day, ensuring accurate record-keeping without manual intervention from staff members.

Incorporating the Spot-R IIoT platform into industrial worksites enhances labor productivity measurement and offers numerous benefits related to asset management, workforce safety, and schedule optimization, among others. This makes it a valuable tool for companies looking to improve overall operational efficiency.

See how Spot-r Improves Labor Productivity on Industrial Worksites

Overall, labor productivity is measured by the efficiency and effectiveness of workers on industrial worksites. Various methods for measuring labor productivity include output-based, input-based, and hybrid approaches. Each method has its own pros and cons.

However, with technology such as our Spot-R IIoT platform, it is now possible to measure labor productivity in real time using equipment monitoring and utilization features. This can help improve safety, reduce downtime, optimize workflows, and ultimately increase profitability.To learn more about how the Spot-R platform can help your business measure labor productivity on industrial worksites to drive better results across your projects, book a demo of Spot-r today.

The post How is Labor Productivity Measured on Industrial Worksites? appeared first on Invixium.

Automation can monitor and manage various operations simultaneously and improve the entire process from start to finish. We’ll discuss the benefits of adopting an IIoT platform for streamlined and efficient operations management.

1. Improve Equipment Utilization

With automated data collection, managers are able to view and assess worksite operations in real time. The moment operators are aware of a bottleneck, or machinery break down, management can receive alerts. This allows leaders to make decisions within minutes of a breakdown, and quickly make repairs and changes to minimize downtime. An effective IIoT platform can also enable your workers and contractors to properly maintain equipment, preventing or reducing potential breakdowns.

Improving equipment utilization begins with an automated digital software system that monitors the performance of each piece of machinery. Software can calculate utilization rates with greater accuracy than manual methods. Implementing IIoT solutions means accessing real-time data, quickly uncovering the reasons for any downtime or potential downtime, and providing instant notifications to all necessary workers and operators.

Specific examples of using IIoT software to improve equipment utilization include using data analytics tools to improve equipment rental levels. Often sites rent a large amount of equipment, based on historical knowledge without data to substantiate how much of it was utilized. Triax Technologies provides an automated IIoT platform that can bring all these data points together seamlessly. You can then have this information sent directly to operators to right-size the levels needed, thereby improving refinery operation management.

2. Increase Worksite Visibility

An IIoT solution can leverage advanced automation to provide greater worksite visibility for both on-site and off-site management. By adopting an IIoT platform, managers gain full visibility into all day-to-day operations, bottlenecks, and risks happening across worksites. 

An IIoT platform such as Spot-r offers an integrated software solution that combines automation, wearable safety devices, and AI-driven camera technology to give managers complete worksite visibility. 

With Spot-r, workers wear a safety device while on a jobsite, and the data collected from this device such as location data, equipment downtime, and injured workers is available in one easy-to-use, centralized dashboard. Within this dashboard, managers can view all worker and equipment data at a glance, create custom reports, and set customizable KPIs. With greater worksite visibility and aggregated data, managers are empowered to make informed and intelligent decisions that will help improve productivity and efficiency in refineries.

3. Deliver Greater Scalability

When workloads increase or change, you need IIoT solutions that adapt along with your current needs. When you ramp up production at a moment’s notice, your refinery operation management team can depend on the Triax platform to make informed decisions on how to adjust your production levels. 

Having the ability to just collect more data is not enough — you’ll want an IIoT platform that can provide data in the following ways:

• We provide data analytics and reporting solutions that will assist your operations team so they can easily monitor and manage changes in your production needs.
• Our IIoT software is formatted to provide actionable data that is tangible to making specific improvements.
• Using this software will enable your operations team to align your IIoT solutions with your unique business strategies.

4. Raise Worker Productivity

Implementing effective IoT solutions can have an enormous effect on worker productivity. Using a digital dashboard, your management team can monitor worker productivity in real-time. You can collect data regarding the location and amount of time each worker spends at a site. Automation can bring together hundreds of data points you can access from any device. Your refinery operation management team can use automated processes that can improve labor productivity in the following ways:

• Provide Workers with the time on tool metrics
• Manage Workers Certifications and Profiles
• Monitor Workers by Type, Group, and Zone

Your refinery operation management team will not only enjoy greater labor productivity, but the IIoT software can indirectly improve overall productivity by automating several processes, including the following:

• Monitoring each Blend Order, for Better Control of Flow Ratios and Recipes
• Managing Each Sequence to Efficiently Produce Batches of a Product
• Tracking all Process Feeds and Blending
• Tracking Product Receipt and Storage
• Monitoring Tank Transfers
• Monitoring Component Product Storage
• Monitoring Final Products Loading on Trucks, Ships, and Pipeline

5. Improve Worker Safety

When an accident occurs, the best automation systems will alert your management team immediately. Emergency management software can also trigger a protocol system that will start automatically. Wearable devices are an example that are extremely effective in preventing workplace accidents. Wearables can instantly assess a worker’s movements and send alerts through vibration if the movements such as an overreach or a bend are unsafe. Connected workers can improve safety throughout the worksite.

Emergency management software can enable workers to directly report any injuries. It can also detect worker falls, sound an evacuation alarm if an emergency were to occur, and improve emergency response time by identifying the location of a zone-based worker. Your company needs automated digital refinery solutions that can improve the safety of all workers, whether on or offsite.

We also offer automated refinery operations management solutions for lone workers. The Spot-r Clip is a small yet rugged device that can monitor a worker’s location. It can even detect if an individual worker has fallen and notify management to send help immediately.

6. Increase Worksite Security

Whether it’s physical or digital security, the right software can reduce risks and improve refinery safety. A cyberattack has the ability to threaten safety, destroy a company’s reputation, and shut down your operations indefinitely. Digital refinery solutions that include automation and the right software can help reduce dramatically the chance you’ll experience a cyberattack or any type of malfunction.

With IIoT software, you have the ability to automate several security processes digitally. Physical security improvements using automation might include the use of recording devices or in-field monitoring devices. These devices provide quick access control, immediate incident response times, and notifications sent to all appropriate personnel.

• Perimeter Surveillance: Your refinery operation management team can use recording devices for perimeter surveillance of specific worksites.
• Manage Each Site: Spot-r solutions can provide your team with access control that includes a high level of accountability for anyone entering your site.
• Identify Threats: Recording devices can identify threats both physically and digitally much quicker than manual security methods. Automated recording devices strategically placed on a worksite can continuously monitor people, equipment, and events 24/7.
• Improve Response Times: Responding to and remediating a security breach needs to be accomplished as quickly as possible to prevent further damage. Automated security tools can access and repair damage quickly.

7. Manage Site Turnarounds

Site turnarounds (TAR) in the oil and gas industry can take anywhere from a few weeks to years. Whether you’re overseeing a turnaround or a shutdown, restarting operations as smoothly and quickly as possible is crucial. Implementing an all-in-one automation, real-time monitoring, and data analytics solution can make the difference between an efficient or a chaotic turnaround. 

Automating refinery operations can improve each of the following areas involved in a turnaround:

• Evaluating Risks Before Each Turnaround or Shutdown
• Organizing Equipment Destination and Sequencing
• Monitoring Equipment During Movement
• Providing Information Regarding Maintenance and Upgrades of Equipment
• Safely Starting Up Every Unit
• Providing Data for Evaluating Each Turnaround or Shutdown
• Improving Consistency of Turnarounds on Multiple Sites

8. Reduce Operating Costs

All of the above benefits can help reduce costs and improve refinery operations management. Another example is how automation can reduce waste during processing. Automation can limit excess processing, defects in processing, and time that is often lost during manual production. Implementing lean manufacturing principles through automation can reduce costs.

Increased labor productivity that ultimately leads to reduced costs, will also increase when many redundant tasks are completed through an automated process. For example, condition checking of various systems and processes is time-consuming. Automated IIoT software can perform many of these checking tasks. The software is also less prone to error than their human counterparts.

Triax Technologies Provides IIoT Solutions for Refineries

You need a technology company that can effectively and seamlessly automate your operations. Whether it’s worker productivity, equipment utilization, or emergency management, Triax Technologies can provide you with cutting-edge automation to improve operational performance.

Our AI-powered IoT solution, Spot-r, provides real-time monitoring, detailed data collection, and automation so your organization can dramatically improve refinery operation management. Our Spot-r platform includes an integrated suite of tools that include software, safety wearables, and hardware, to capture data from worksites, employees, and equipment in real time. With Spot-r, your organization benefits from increased worker productivity, improved worker safety, and long-term cost savings for your organization.

Triax Technologies has the experience and expertise to provide you with the refinery technology your organization needs to succeed. Book a demo of our Spot-r platform and see for yourself how Spot-r helps refineries dramatically improve labor productivity and total worksite visibility.

The post 8 Benefits of Automating Plant Labor Operations Management appeared first on Invixium.

As the mining industry continues to grow, competition will continue to grow as well. Companies wanting to stay competitive or reduce associated costs related to daily operations and risks should adopt IoT in mining solutions that enhance site and worker safety, improve labor productivity, and effectively monitor equipment. 

How is IoT Used in the Mining Industry? 

IIoT, or the Industrial Internet of Things, is a digital solution for companies needing to integrate the latest software and tech devices into their daily workflows and business operations. These integrations allow the company to increase safety, reduce downtime and risks, and improve productivity and communications. 

In the mining industry, companies typically have several large worksites, with thousands of workers and equipment resources at each of them. 

Effectively keeping track of so many different equipment and labor resources is nearly impossible without the right monitoring tools in place, and a lack of effective monitoring can lead to increased worker safety hazards and inefficient equipment utilization.

Having effective, quick-response safety measures and real-time labor and equipment monitoring is crucial for an efficient work site. With IoT in mining technology, it’s easier than ever to track equipment, stay on top of worker productivity, and enable greater site and worker safety. 

For example, software such as the Spot-r IIoT platform can monitor details such as the following:

1. Flow rates
2. Pressure
3. Batteries
4. Pumps
5. Worker activity

These are just a few of the many areas that can be closely monitored with accuracy with IoT technology. 

Use Cases For IoT in Mining

IoT technology is vital in mining projects. Consider these use cases where adopting these technologies helps reduce risks and streamline workflows and performance. 

Wearable Technology for Greater Site & Worker Efficiency

Having workers wear advanced wearable IoT technology such as Spot-r can provide management with insights into key worker efficiency metrics such as worker time in a given zone, time on tools, peak operation hours, and more.

This information can empower managers to make cost-saving changes for future shifts and improve labor efficiency and productivity. 

Adopting wearable IIoT technology for workers also allows managers to quickly identify where all workers are located on a worksite at any given time, enabling greater site visibility overall. Managers can also be informed about the presence of team members at any given time to assess workforce capabilities clearly. 

Software for Increased Labor Productivity

One of the main goals for any industrial business, especially mining, is to increase productivity. This is possible with automation provided by IoT. This integration allows managers to identify productivity in specific zones. 

Managers can also assign each worker their own barcodes via the Spot-r system to track their entry and exit for the day. They can also have individual clips that coincide with helmet barcodes to scan in and out of secure access points. 

By adopting this solution, managers can reduce the time it takes to check workers in and out and eliminate the foreman needing to track time and reporting hours. Managers also know precisely where each worker depends on their time during the work day and how productive they are during those times. Additionally, a real time alert can be sent if an employee enters an area of the site where they are not supposed to go.

Software for Real-Time Equipment Monitoring

Another use case for IoT in mining is real-time equipment monitoring. Mining worksites often have thousands of equipment resources, and it’s difficult to know how efficiently that equipment is being used. 

IIoT technology can provide real-time visibility into which pieces of equipment are being used the most, by whom, and when. 

A 24/7 real-time equipment monitoring solution can help maintenance managers uncover and fix hidden costs from underutilized equipment, and prevent over-billing from equipment rental partners. 

An equipment monitoring solution can also help maintenance managers identify equipment downtimes and address the cause of equipment downtime quickly. In the long run, this solution helps managers predict and prevent future downtimes, and improves OEE.

Software & Hardware for Improved Worker and Site Safety

Safety is a crucial concern for any mining operation. Real-time monitoring software allows managers to optimize emergency management protocols and tracking. Adopting an IoT safety solution can effectively increase safety and response times. 

For instance, if a worker is injured, wearable IIoT technology can drastically reduce response times to help get them to safety and treated immediately. Adopting an IoT solution allows managers to know exactly where workers are located at any given time and call workers to a mustering point should an emergency arise. 

Additionally, this technology can alert other workers to potential danger and emergency events to help evacuate or contain situations. 

Having this information readily available can help prevent injuries and improve response times drastically when the unexpected occurs. Safety dramatically improves, and management and workers feel more confident and informed while working on a project.

IoT in Mining Devices

The mining industry dramatically benefits from IoT in mining devices. Spot-r IIoT technology provides an integrated suite of worksite management tools such as:

1. Spot-r POI tag
2. Spot-r EvacTag
3. Spot-r EquipTag

Spot-r POI Tag

Spot-r POI tags are mounted in specific locations and are meant to remain in place. They are used to monitor the Spot-r clips that offer insights regarding worker location. This application is ideal for worker authorization protocols and tracking worker activities. Gain more insight into worker activities and location with Spot-r POI Tags. 

Spot-r EvacTag

The Spot-r EvacTag provides solutions for evacuations due to emergencies on site. They provide 100-decibel flashing alarms throughout the job site. Improve evacuation times by up to 72% with Spot-r EvacTags. Use them in conjunction with Spot-r POI takes to enhance worker accounting at muster points. 

Integrate Spot-r EvacTags to alert crews to evacuate the area during emergency events. Workers can also wear Spot-r Clips to alert management to falls and injuries. 

Spot-r EquipTag

Effectively monitor equipment location using the Spot-r EquipTags to track pieces in real time. This rechargeable device is used in conjunction with the Spot-r clips to monitor the proximity of site workers in relation to tagged equipment. 

Gain insights about idle time, work times, certification details, and unauthorized operator notifications. Users also have access to utilization history and operator identification. Know where equipment is located and who uses it at all times with Spot-r EquipTags. 

See how Triax Technologies Improves Mining Operations

IIoT in the mining industry is essential for today’s operations. Adopting Spot-r technology and software enables you to integrate cutting-edge technology that improves productivity and efficiency on the job site. Spot-R makes it easier to reduce unnecessary expenses and risks while simultaneously streamlining day-to-day operations. 

Our full suite of solutions allow site managers to track activities across the site and provide automation to reduce workforce needs while improving accuracy and analytics. 

With Spot-R IIoT technology, management and team members have access to communication and insights they need to get the job done efficiently without unnecessary manual checks and notations. Everything related to worker entry, job performance, safety, and location can be accessed directly through a user-friendly dashboard that allows you to generate data and information in real time. 

Interested in learning more about Spot-R? Learn more about our IIoT solutions for the mining industry and request a demo of Spot-R today.

The post How IoT in Mining is Changing the Industry: Devices, Examples, and Use Cases appeared first on Invixium.

What is a Digital Twin?

In simple terms, a digital twin is a virtual replica of a physical object, process, system, or environment. It is a computer-generated model that uses real-time data and advanced simulations to create an accurate model that mirrors its real-world counterpart, including its physical characteristics, behavior, and performance.

An example of a digital twin use case might be a frac pump, which can be used to simulate how it operates in different weather conditions and predict maintenance needs. Meanwhile, a digital twin of a building can be used to optimize its energy consumption and environmental performance. 

What Is A Digital Twin Also Known As?

A digital twin may also be called a cyber-physical system (CPS) or “twinning.” These terms emphasize the connection between the virtual model and the physical one while highlighting their interdependence.

Let’s break this definition down even more to illustrate some specific use cases.

How Can Digital Twins Be Used In Industrial Fields?

In the industrial sector, digital twin and IIoT technologies allow for real-time monitoring, analysis, and optimization of nearly every aspect of a worksite. 

• Data collection: Sensors installed throughout the physical environment collect various types of information like temperature readings or equipment status updates.
  
• Data processing: The collected data is processed by sophisticated algorithms that analyze patterns and trends to predict future performance.
  
• Data visualization: Real-time data from digital twins can be visualized in user-friendly formats such as graphs or charts so decision-makers can easily understand what’s happening at any given moment.
  
• Actionable insights: Based on these visualizations, users can identify areas for improvement within their operations — whether it’s adjusting machine settings for optimal output or scheduling preventive maintenance before costly breakdowns occur.

Digital twin IoT enables organizations to join their physical resources with the digital realm, offering a more comprehensive understanding of their activities and the ability to be more agile with their decisions. 

The Top Industries That Have Been Revolutionized by Digital Twin Technology

There are many industries and companies using digital twins – and there is no limit to the technology’s practical applications. But these are some of the industries that have seen the most transformation in recent years:

• Manufacturing: Digital twin IoT is used to monitor and optimize production lines, reduce downtime, improve product quality, and enhance overall efficiency.
  
• Construction: Digital twins help construction companies effectively plan projects, map out new builds, and manage resource allocation, risk assessment, and progress tracking.
  
• Mining, chemical, oil, and gas: These sectors can use digital twins to enhance their safety measures, track machinery performance, and proactively perform equipment maintenance to minimize operational disruptions.
  
• Logistics and transportation: Digital twin technology can be applied to simulate the movement of goods, including vehicles, routes, and schedules, optimize warehouse layouts, plan storage capacity, and predict vehicle and equipment maintenance.

Benefits of Leveraging Digital Twin Technology

Industrial sites that implement digital twin technology often see improved efficiency, productivity, safety, and security.

More Efficient Worksites 

With access to real-time data from the physical assets and processes within an industrial worksite, managers can quickly identify bottlenecks or inefficiencies. This allows for prompt corrective actions that optimize labor productivity and minimize downtimes.

Enhanced Labor Productivity 

Industrial worksites are large and complex, and often have thousands of workers on-site. Keeping track of workers is crucial for enhanced productivity and safety, but it’s difficult to have full visibility into worker behavior in all areas of the worksite with standard CCTV systems. 

Digital Twin technology isn’t just limited to buildings, it can also include wearable technology. Adopting a wearable digital twin technology solution for all workers allows site managers to quickly identify labor productivity at the individual level, and compare this to an average. Site managers gain the critical visibility they need to see when and where labor productivity is suffering, and where bottlenecks are occurring on the worksite.

More Informed, Agile Decision-Making

A digital twin provides a comprehensive view of the entire worksite’s operations. This enables directors and supervisors to make more informed decisions by analyzing performance metrics in real-time, such as overall equipment effectiveness or production outputs.

Longer Equipment Lifespans and Fewer Breakdowns

Digital twins give you the ability to monitor the lifespan, working times, and general functions of all worksite machinery, equipment, and vehicles in real-time. And that allows managers to plan extremely accurate, predictive maintenance schedules. 

Outstanding Safety Improvements

Real-time monitoring via a digital twin helps ensure worker safety by identifying hazards early on and allowing for swift intervention when necessary. Additionally, it supports training efforts by providing detailed information about safe operating procedures, evacuation routes, and mustering station locations. 

Faster Time-to-Market Cycles 

The manufacturing industry has seen accelerated product development cycles with digital twins. It allows rapid prototyping through virtual simulations instead of building multiple physical models, which can be both time-consuming and costly.

Improved Product And Building Quality

By simulating various scenarios with digital twins during product and building design stages, engineers can test different configurations without having to build physical prototypes — saving time and resources while ensuring optimal quality control measures are implemented throughout the entire production process.

Better Data-Driven Innovation

By collecting and analyzing data from a digital twin, companies can identify trends and patterns that may lead to new opportunities for innovation. Many benefits of digital twins may yet to be discovered for your specific worksite!

Unlock More Opportunities With Digital Twin Technology And Triax

Looking ahead, digital twin technology will continue to reshape industrial operations and revolutionize manufacturers’ businesses. We’ve only begun to see all the possibilities for incorporating digital twins into new industries and worksites.

But the need to adopt digital twin and IoT solutions is becoming increasingly essential as industries continue to evolve in response to the latest technological advancements. 

The benefits it provides help organizations stay competitive in an ever-changing landscape. And the Spot-r^TM IIoT platform is at the forefront of this revolution by offering comprehensive IIoT software that leverages digital twin solutions for improved industrial operations.

At Triax, we understand that every operation is unique.

We’ve built our solution to meet the unique safety and productivity needs of large industrial worksites. It is entirely customizable to your site and centralized in one intuitive, encrypted dashboard, making it easy for managers and supervisors to do real-time monitoring and quickly extract insightful data. 

Book a demo today!

The post What is a Digital Twin and What are the Benefits for Industrial Worksites? appeared first on Invixium.

Digital twin IoT technology is an example of one such solution, lending itself to myriad benefits on worksites. So let’s explore the intersection between digital twins and IIoT on industrial sites – and explain why that matters to you.

What is the Industrial Internet of Things (IIoT)?

The Internet of Things refers to an ever-growing network of internet-capable devices that can communicate with each other. Smartwatches, fitness trackers, smart speakers, smart doorbells, thermostats, and pacemakers are all examples of commonly-used IoT devices.

Industrial Internet of Things (IIoT) refers specifically to IoT solutions for companies in industries such as process manufacturing, heavy manufacturing, construction, and mining. IIoT is developed to enhance onsite processes, leading to improved labor productivity, equipment utilization, and safety protocols.

And the rapid advancement of IIoT technology has resulted in the exponential increase of another revolution: the digital twin technology.

What is a Digital Twin in IIoT?

Put simply, a digital twin is a digital representation of a physical object or a system, allowing for virtual simulations before being implemented in the real world. Digital twins can include buildings, factories, outdoor worksites, equipment, workflows, and even people.

For industrial worksites, an example of a digital twin would be one that replicates an entire production system or all the assets on a given work site.

A Brief History of Digital Twins

The term “digital twin” was coined at NASA in 2010, though it is said to have unofficially been used since the 1960’s to replicate, study, and perfect space missions before sending astronauts out on spacecraft.

The concept of digital twin and IIoT technology was officially applied in the manufacturing industry in 2002.

Creating a digital twin is a complex process that requires applied mathematics to replicate the workings of an object or system in a digital environment. But it presents the huge benefit of having a working, testable, small-scale prototype of something before spending millions of dollars to design, build, or manufacture the physical item or system.

IBM places digital twin technology output in one of four categories based on the extent of product magnification:

1. Component twins or part twins are a digital representation of how a component or the smallest functioning unit of a machine works.
2. Asset twins represent how components work together.
3. System twins or unit twins show how assets combine to form a functioning system, such as a production line.
4. Process systems twins show how systems work together in a factory, for instance.

Digital Twin vs IIoT

Digital twins and IIoT are different but complementary technologies.

Digital twins are virtual environments where you can run multiple simulations. You can use real-time data from a physical system to keep track of the performance, safety, or efficiency of the system.

They are models of complex things that do or will exist in the physical world.

Meanwhile, engineers use data collected from IIoT devices to develop digital twins.

IIoT and Digital Twin Applications for Different Industries

To understand this, we need to explore applications of digital twin and IIoT software in different industries – as well as some digital twin use cases.

Digital Twins in Field Service Management and Enterprise Asset Management

Digital twin technology has the ability to bring together field service management (FSM) and enterprise asset management (EAM). By being able to map out the entirety of their assets, companies can predict asset failures and plan their operations better.

For example, companies can run simulations to determine where to build a site warehouse within a big field for maximum efficiency. They can also come up with contingency plans for emergencies that require evacuation, by simulating different situations and finding a process that yields the best safety outcomes.

This results in complex, accurate, and completely automated emergency management solutions.

Digital Twins in Manufacturing

The significance of data in manufacturing processes begins right at the conception of a new idea and extends the entire lifespan of the finished product.

Designers of new products can make digital twins and run tests on them as proof of concept. During production, data from IIoT sensors can reveal faults in the length, thickness, or strength of the material. The monitoring continues well after the finished product goes out for use. When a product such as a jet aircraft is in use, data from IIoT devices can inform engineers to alter the designs of future models to improve performance.

A case study from Deloitte details how an industrial manufacturer used digital twins and IoT data to identify faults in their production process.

The insights resulted in a 15-20% reduction in rework.

Products and processes that are very complex, expensive, or that carry a risk of high variability in their manufacturing processes are great digital twin candidates. Making a digital twin prototype means that you can identify costly faults very early on.

Digital Twin Technology in the Construction Sector

Construction sites are leveraging digital twin and IIoT technology to increase efficiency in their projects.

For example, digital twins can be used to predict precise labor and material costs. This not only prevents the inflation of project costs, but it enables better projection of supply chain needs.

Engineers can overlay digital twins in the field using Augmented Reality (AR) technology to inspect buildings for quality. In case of errors in the field, engineers can mark them on the digital twin and figure out workarounds, enabling them to solve specific problems without stalling entire projects.

Digital twin models can also greatly enhance safety on large job sites. Here are just three ways to do so:

• A digital simulation or walk-through can quickly uncover previously unforeseen risks, allowing management to fix them before they even arise.
• Safety managers can administer contractor and worker safety training using the digital rendering of a factory or building.
• When designing new factories, our digital twin solution could also be used to optimize the layout for better safety and efficiency.

The Benefits of IIoT and Digital Twin Solutions

Accelerated product development is one of the most visible benefits of building digital twin solutions. Manufacturers no longer need to build multiple iterations of prototypes. Instead, data from simulations on the original digital twin can be used to build upon subsequent digital twin versions.

Industrial sites that employ digital twin technology to plan the layouts of their factories, worksites, assembly lines, and worker flow can greatly reduce their maintenance costs and improve turnaround efficiency.

Digital twins are also an important digital innovation in the chemical, oil, and gas industries. Energy companies can replicate entire pipelines, oil rigs, and refineries digitally. Data collected by in-field IIoT devices can be synced onto the digital twin. This helps monitor the health of entire operations and carry out predictive maintenance.

Aside from helping predict maintenance needs, digital twins can inform product end-of-life decisions.

Based on accurate data, companies can determine how many hours or production runs a machine can perform. Management can then make informed capital budgeting decisions concerning buying, renting, and replacing machinery, equipment, and more. Specific equipment utilization data from IIoT devices would help decide whether it is feasible to buy instead of lease critical equipment.

The added worker-level visibility and insights gleaned from wearable IIoT devices also unlocks nearly endless automation and on-site optimization possibilities.

For example, workers could automatically clock in and clock out, check out tools, and gain access to restricted areas by scanning their wearables at a specific checkpoint. This can lead to an impressive and nearly-instant boost in on-site labor productivity.

Unlock the Benefits of Digital Twin and IIoT With Spot-r Software

Industrial site efficiency is poised to see a huge uptick in the companies that adopt digital twin and IIoT software.

For industrial companies with big plants and worksites on their balance sheets, equipment utilization, refinery turnarounds times, labor productivity, and emergency response times are important figures on their dashboards.

For most, gaining better worksite visibility and accurate data insights are the linchpin for optimizing their most important metrics.

And IIoT solutions, such as Spot-r ™ software by Triax, have revolutionized how companies define worksite visibility on their field sites. By building digital twins of their worksites, processes, and products, they can optimize the efficiency of complex sites while mitigating the risks and costs of needing to re-iterate the non-digital counterparts.

Triax understands the complexities of big industrial operations.

Our digital twin and IIoT solutions make it easier, more affordable, and safer to test new ideas digitally, helping site managers and management teams identify new efficiency opportunities and improve safety levels.Want to learn how you can embark on digital transformation by leveraging digital twin technology on your worksite? Book a demo to see our solutions in action and speak to a qualified member of our team.

The post The Relationship Between Digital Twins, IIoT, and Worksite Optimization appeared first on Invixium.