Post by khatunejannat on Feb 14, 2024 23:16:12 GMT -10
Digital Twins are one of the key transversal disruptive technologies of Industry 4.0 . Although it is not a 'trending topic' term, digital twins are called to transform the way we understand factories. It is one of the native technologies of industry 4.0 whose main virtue is to take advantage of everything that other technologies give us. But talking about digital twins, today, is not talking about a closed and ready-to-use solution. It is talking about an engineering and development project that grows day by day learning from its mistakes. Basis In short, a “Digital Twin” is a virtual model of a process, product or service through information obtained primarily from sensors. So these are a kind of “digital avatars” of the devices and processes that make up a work environment, and that work in connection with the real operation, which these twins replicate through Cyber-Physical Systems (CPS). Consequently, we have a system that automatically learns how a real system works , with automata, robots, people, vehicles, objects, products, etc. These systems are interconnected through the 'Internet of Things ' (IoT), generating a very large flow of information that is collected, serving to learn how the monitored system behaves. This union of the physical world with the virtual world allows intelligent data analysis and system monitoring to: Preventing problems before they occur. Prevention of downtime. Development of new business opportunities. Future planning through simulations.
Customization of the product according to the client's requirements. In order to understand how a “Digital Twin” is generated , we must emphasize the importance of information coming from the physical world. In other words, if we do not have real data, there is no way to implement the 'digital twin'. Once the process analysis is obtained, the Syria Email List process, product or service can be generated virtually, and provided with all those changes, before putting it into manufacturing. If the requirements of a project are virtually met, then it moves on to physical production . The digital twin starts with a digital copy of the physical elements of the plant (sensors collect data on the status of the process, product or service in real time). The components are connected to a system based on 'The Cloud' that receives and processes the information obtained. Specific software compares everything obtained, along with other contextual parameters. The first thing that this way of working allows us is to be able to reproduce the state of the plant at any time ( it allows us to focus much more on the root cause of the problems ). The second issue that this way of working allows us is to predict situations . And finally, the third question, the most sought after, is at the same time the most difficult, distant and complicated. This is simulation capability , the ultimate goal of the digital twin. The ' digital twin' technology also allows virtualization from a product to a specific process, and this constitutes a very powerful and extremely versatile tool.
In this way, digital twins monitor the life cycle of a process by replicating its operation in a virtual model that serves as a basis for experimentation. digital_twin_1 What do we get? This type of digital technology allows companies of all sizes to meet their demands and reduce time-to-market by almost 50% , improve flexibility and increase productivity by up to 20%, which determines the competitiveness of companies. companies. Some sources have estimated that, thanks to virtual analysis and simulation, companies could save 70% of energy, an issue that would result in a significant cost reduction for both the producer and the final consumer. Consequently, we achieve a protected and safe environment for experimentation, being able to detect problems before they occur, plan maintenance tasks avoiding unexpected stops, build new more efficient operating scenarios (OEE), develop new business opportunities and new manufacturing plans. , or even make future forecasts.
Customization of the product according to the client's requirements. In order to understand how a “Digital Twin” is generated , we must emphasize the importance of information coming from the physical world. In other words, if we do not have real data, there is no way to implement the 'digital twin'. Once the process analysis is obtained, the Syria Email List process, product or service can be generated virtually, and provided with all those changes, before putting it into manufacturing. If the requirements of a project are virtually met, then it moves on to physical production . The digital twin starts with a digital copy of the physical elements of the plant (sensors collect data on the status of the process, product or service in real time). The components are connected to a system based on 'The Cloud' that receives and processes the information obtained. Specific software compares everything obtained, along with other contextual parameters. The first thing that this way of working allows us is to be able to reproduce the state of the plant at any time ( it allows us to focus much more on the root cause of the problems ). The second issue that this way of working allows us is to predict situations . And finally, the third question, the most sought after, is at the same time the most difficult, distant and complicated. This is simulation capability , the ultimate goal of the digital twin. The ' digital twin' technology also allows virtualization from a product to a specific process, and this constitutes a very powerful and extremely versatile tool.
In this way, digital twins monitor the life cycle of a process by replicating its operation in a virtual model that serves as a basis for experimentation. digital_twin_1 What do we get? This type of digital technology allows companies of all sizes to meet their demands and reduce time-to-market by almost 50% , improve flexibility and increase productivity by up to 20%, which determines the competitiveness of companies. companies. Some sources have estimated that, thanks to virtual analysis and simulation, companies could save 70% of energy, an issue that would result in a significant cost reduction for both the producer and the final consumer. Consequently, we achieve a protected and safe environment for experimentation, being able to detect problems before they occur, plan maintenance tasks avoiding unexpected stops, build new more efficient operating scenarios (OEE), develop new business opportunities and new manufacturing plans. , or even make future forecasts.