Digital Twin Consortium

3D digital twins help improve worker safety

How does a Digital Twin help improve worker safety

  How Does a Digital Twin Help Improve Worker Safety?   A digital twin can be a valuable tool in many industrial businesses for a number of reasons. Understanding how an asset will behave under different circumstances, monitoring its condition and quickly pinpointing any issues is important to worker safety. This works in several ways:   Reducing Time In Hazardous Conditions    Digital twins help improve worker safety by minimizing the time humans spend in hazardous environments.  This is accomplished through more efficient planning of inspection and maintenance activities. Let’s dive into some examples.     When there is a faulty valve or a valve is due for replacement, it would be quick and easy if there were only a few valves to look through.  But today’s complex asset will have hundreds, if not thousands of valves.  So finding that needle in the haystack is often the challenging part. With sophisticated 3D digital twin capabilities offered in solutions like V-Suite, time in the field is cut dramatically. An executive from a Top 5 global Oil & Gas company puts it this way: “An hour in V-Suite is like 8 hours in the field.”  Less time in hazardous contexts translates into safer worker conditions.     “An hour in V-Suite is like 8 hours in the field.”   By leveraging a digital twin to plan ahead from headquarters, one can identify a multitude of part replacements that are needed in a given area within the facility. Additionally, one can have a better understanding of what additional needs have to be considered – scaffolding for example – before getting on site.  Add it all up and you can see how digital twin technology reduces the back and forth between offices and the industrial assets that are being managed from them.  This not only helps to reduce time, energy and money on transportation, but it also means less time for the maintenance worker to be in potentially hazardous conditions.       Avoiding Hazards Through Preventive Maintenance   Because a digital twin is a digitized version of a physical asset and data is often exchanged by the systems in real time, monitoring an asset for preventative maintenance is greatly simplified and improved. This works because important areas of functionality are fit with IoT sensors, which feed data to a processing system that updates the digital twin of the physical asset. Component maintenance schedules are optimized because their exact condition is being constantly monitored and any repair or adjustments can be made before problems occur.     Preventing Dangerous Failures   The preventative maintenance discussed above circumvents potential catastrophic failures that, if they were to occur, might put workers in harm’s way. Modeling otherwise hidden elements makes it much faster to discover and correct what would otherwise be an unseen issue that could cause an accident or injury. The sensor structure also allows workers to view a single issue from multiple vantage points, creating faster and more precise solutions to ensure assets are in their safest, most optimal working order. Digital twins can also monitor environmental factors and trigger safety measures if outside hazards are impeding an asset’s ability to function safely. This allows businesses to avoid accidents and improve safety outcomes by preventing issues before they occur.     Minimizing Human-Machinery Interactions   Managing environmental hazards is just one way digital twins reduce human time in the field. Minimizing human-asset interactions in other ways as well is a tremendous advantage of digital twin technology. By identifying any unseen issues exactly at the source, the amount of time workers must spend interacting with potentially dangerous asset components is greatly minimized. In some cases, digital twins work alongside artificial intelligence (AI) and robots to repair assets which would have required hands-on troubleshooting otherwise.     Creating Safer Systems   Digital twins may be used in the research and development stages of an asset’s life cycle, resulting in safer machines, systems and physical structures. The spatial data rendered by a digital twin is also helpful in designing the systems that will operate within new machines and structures. This data-rich, robust design environment is ideal for fixing issues and creating the safest possible structures and systems before an asset ever hits the market.     Enhanced Training Opportunities   A digital twin enhances training opportunities for employees whose job sees them working on more hazardous components of the physical asset. While some industries already use simulations for worker training, a digital twin is far superior by virtue of being a completely replicated virtual reality environment. This greatly enhanced experience – and the ability to see elements that would have otherwise been hidden (or highly dangerous to access) increases a worker’s knowledge base in a safe and controlled environment. Employees are also better prepared and monitored when they do have to navigate dangerous mechanical components or structures.     Conclusion   Digital twins are becoming more common in the industrial and construction sectors and its impact on worker safety is already compelling. Applications of digital twin technology in the worker safety space will only grow, especially as digital twins are increasingly used in the R&D phase of system and structure creation. It is not unreasonable to project that digital twins may soon become the gold standard for employee training and safety programs in the coming years as more and more industries look to leverage this technology.        

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Digital Twin

What challenges does a digital twin solve?

What challenges does a digital twin solve? Digital twins are becoming an increasingly important part of business operations and asset management. In many cases, the Digital Twin can be used as an aid in solving various problems. The most common use is for data analysis and visualization which helps with improving business decisions by providing insights on trends within your company’s operations or marketplace conditions that may affect future success rates of products you are developing; this also allows companies to track their investments more effectively than ever before. By creating a digital replica of a physical asset or system, companies can improve performance, predict failures, optimize operations and improve safety. How can a digital twin be used to optimize manufacturing processes A digital twin can be used to optimize manufacturing industry processes in several ways. First, it can help identify issues with the manufacturing process early on, before they become bigger problems. Second, it can help optimize the process to ensure that it is running as efficiently as possible. And finally, it can help predict future issues that may occur in the manufacturing process and take steps to avoid them.   Operational efficiency is one of the key benefits of using a digital twin. By monitoring the digital replica of a physical process, companies can identify areas where improvements can be made. This could include anything from reducing downtime to improving safety. Additionally, digital twins can be used to monitor energy usage and identify opportunities for cost savings. How can a digital twin be used to improve product quality A digital twin can be used to improve product quality in a few ways. First, it can be used to monitor the quality of the product as it is being manufactured. This can help identify and correct any issues before the product is shipped to customers. Additionally, a digital twin can be used to track customer feedback and complaints in order to help improve the product. This information can be used to make changes to the product before it goes to market, or even after it has been released. By tracking customer feedback, companies can ensure that they are always providing the best possible product. This information can also be used to improve the quality of future products.   Finally, a digital twin can be used to monitor the product after it has been sold. This can help identify any issues that may have gone undetected during manufacturing or shipping. By using a digital twin, companies can quickly and effectively improve the quality of their products. How can a digital twin be used to reduce downtime? One of the main benefits of using a digital twin is that it can help reduce downtime. By monitoring key performance indicators (KPIs), businesses can get an early warning when something is going wrong. This allows them to take corrective action before the problem becomes too serious. Additionally, by identifying trends and patterns, businesses can optimize their operations to avoid potential problems. As a result, digital twins can help businesses run more efficiently and avoid costly downtime. Improving safety by identifying hazards and risks through preventive maintenance Digital twins can improve safety by identifying hazards and risks through preventive maintenance. For example, if a company has a digital twin of a machine, they can use it to monitor the health of the machine and predict when it will need maintenance. This can help prevent failures that could lead to injuries or accidents.    Additionally, digital twins can be used to monitor environmental conditions and identify potential hazards. This information can help companies take steps to prevent accidents before they happen. Further, preventive maintenance with digital twins reduces time in the field, which, in turn, lowers the risk of accidents and injury. Conclusion Digital twins are an important tool for companies that want to improve their operations. Digital twins can be used in a number of ways to optimize manufacturing processes and improve product quality. They can help identify issues with products before they become bigger issues. Additionally, they can be used to optimize manufacturing processes and reduce downtime. Digital twins offer a unique way to solve challenges across a variety of industries. By leveraging data and advanced analytics, digital twins can help organizations achieve greater efficiencies, improve decision making, and optimize operations.

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Visionaize is a Digital Twin Consortium member

Visionaize is now a part of the Digital Twin Consortium

  Visionaize is now a part of the Digital Twin Consortium     SAN JOSE, CA  — (July 6, 2022) — Visionaize, a global leader in the development and maintenance of 3D digital twins for highly complex industrial assets, is proud to announce that it has joined the Digital Twin Consortium (DTC), an organization that fuels collaboration with industry, academia and government experts with a dedication to the overall development of digital twins.   As our mission is focused on helping inspection, maintenance, and operations teams get more productivity out of their asset-intensive businesses, joining the DTC provides opportunities to both convey how immersive 3D visualization solutions can help companies extract maximum value from Digital Twins, but it also brings us closer to the best minds in the Digital Twin space to help guide our future work.   “Our membership in the Digital Twin Consortium will allow interested users to learn about the latest advancements in Digital Twin technologies including integration of AI, Virtual and Augmented Reality technologies to reduce downtimes and optimize inspection and maintenance activities” said Vikas Agrawal, CEO at Visionaize.   He added, “By joining the DTC, Visionaize confirms its goal to provide more value to customers by offering a true operational Digital Twin that helps both experts and non-experts be safe and more efficient in their daily jobs by giving context and delivering timely insights to the point of action. This is done by visualizing relevant real-time and historical plant/asset data from enterprise systems in the 3D model from anywhere at any time.”   “We are proud to welcome Visionaize as a member of Digital Twin Consortium,” said Dan Isaacs, CTO, Digital Twin Consortium. “Their deep  experience in combining immersive 3D visualization capabilities and contextual actionable insight will enable collaborative opportunities across our membership community as we enter an exciting new phase of digital twin adoption.”   “Digital twin partners and customers are among the most ardent users benefiting from the Visionaize solution. Working in concert with DTC members will provide tremendous benefit to these users and further digital twin innovation”, said David Reinhart, EVP of Visionaize and a pioneer in the the Digital Twin space.   To learn more about Visionaize, please visit visionaize.com.   About Visionaize:Visionaize transforms how our customers leverage and engage with data to drive operational efficiencies in complex industrial environments. Our mission is to improve safety, save time, and reduce downtime by delivering valuable insights at the point of action in a way that is quickly accessed and easily understood by operational workers. For more information, visit www.visionaize.com. 

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V-Suite software powering The Industrial Metaverse

GE Digital & Visionaize partnership – combining APM with contextual 3D visualization

Visionaize, the provider of world-class operational 3D digital twins solutions, announced a partnership with GE Digital. 3D Digital Twins’ high accuracy visualization capabilities are designed to help empower data-driven businesses and improve safety by saving time and reducing cost throughout asset intensive industries across all sectors where they’re used. The V-Suite Starter by Visionaize can be integrated into GE Digital’s APM (Asset Performance Management) Mechanical Integrity™ software to help streamline maintenance activities while increasing worker efficiency. With V-Suite Starter, industrial companies can view real time and historical asset data on the 3D model to deliver timely insights at their points of action. The “see it happen” visualizations will help them solve key challenges associated with downtime such as quicker resolution times for maintenance costs or workforce productivity improvements by providing a better understanding about what is happening in an equipment room before problems arise so they are prepared accordingly. The product allows you to see your investments more clearly through 360 degree views which helps reduce risk. “As companies in asset-centric industries — Oil &Gas, Power Generation, Petrochemical, and Mining — look to enhance their digital transformation journey, there is a growing acceptance to absorb Digital Twins into their operational decision-making workflows,” said David Reinhart, Executive Vice President for Visionaize. “To build out a more robust Digital Twin experience, there is a pressing need for rapid contextual awareness and visualization capabilities.” Visionaize helps mechanical engineers and industrial designers visualize 3D plant models with APM’s integrity attributes in order to make data-driven decisions. The integrated solution not only provides insights, but also enables users by color coding the model so they can focus on what matters most when it comes down to their job responsibilities of inspection, planning, maintenance, corrosion analysis and Risk Based Inspection. With GE Digital’s APM solution, workers can be safer and more productive with a better understanding of the environment around them. Accurate 3D models allow for faster resolution time as well as maintenance programs that are optimized to speed up planned downtime activities while accelerating unplanned events too. “Our partnership with Visionaize brings an enhanced scalable templated capability to APM that accelerates implementation and simplifies replication across sites and reduces implementation costs,” said Linda Rae, General Manager of GE Digital’s Power Generation and Oil & Gas business. “Incorporating this state-of-the-art visualization platform is valuable as asset-intensive companies mature in their operational use of Digital Twins.” Click on these links for more information about Visionaize’s Digital Twin Asset Performance Management Software and solutions for Manufacturing, Oil & Gas, or Power & Energy.

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