Twin, this concept may sound a bit mysterious at first, so don’t worry, let’s talk slowly. Simply put, Digital Twin for Factory Floors, is to create an identical data-driven stand-in for the real world factory entity in the virtual world – this means almost the same, used to simulate, analyze and optimize the operation of the physical factory. In reality, there will be many problems in the operation of our factory, such as the production efficiency is not too high – for example, the personnel and equipment do not cooperate tacitly to waste time, and the cost cannot be reduced… There are many similar situations. That number twin. It can play a role in these places. Its function is really great. This digital twin can restore the entire physical factory's operating conditions in detail and accurately. Even small links such as temperature changes in each component or fluctuation in equipment parameters can be recorded for you – and it is also recorded in real time. Simulate different production processes and processes without saying it. It can also mark production data in each stage in detail. And it can continuously receive feedback on reality and improve its own functions – to make optimization measures to simulate various production conditions in virtual production. We don’t have to disrupt the existing production process to achieve results. Provide global procurement services for weak current intelligent products!
Let’s talk about the aspects in detail. There are these – the first model creation step. Let’s take the perspective of physical models. A dynamic model similar to the actual object must be constructed based on the actual production line layout and production equipment parameters and specifications. The geometric aspect is like the shape and size ratio cannot be different in slightest. In terms of materials, we can only make external force feedback based on their own characteristics. But there is also a behavioral model. We must study how fast the equipment starts up, what the change rate is, and other behavioral rules as a basis to make the simulation closer to reality. Then comes data acquisition and integration. Obtain it from the production line monitoring device, and we will summarize the relevant information from the sensor. The noise is eliminated through data preprocessing to ensure the authenticity of the data and then convey it to the simulation platform and supplement management data and process standards. For process simulation optimization work. First, start with the interaction between equipment and characters and materials in detail to understand the bottlenecks. Use different scenarios to simulate different equipment to see how to improve the personnel adjustment method of changing to different equipment or reorganization processes, so as to find the best way to improve efficiency. Provide global procurement services for weak current intelligent products!
This cost-effective advantage is significant – there will be no unnecessary investment in the experiment when investing in the early stage of the funds. In addition, more precise manufacturing is achieved in improving quality, increasing output rate and reducing production costs of defective products, and increasing profit margins will increase. In comparison, in the past, traditional models had to determine optimization and could only actually adjust production, which may disrupt the original rhythm and waste a lot of time and cost, and may repeatedly determine parameters and cause losses. Using digital twins in one step to conduct multiple rounds of verification and identify ideal solutions – the advantage of reducing costs is considerable.
It is even better for personnel training. Traditional employees need to practice the operation around actual equipment when training in new factories – it is dangerous not to mention that it takes a long time to get started and the equipment is complicated, and familiar with the process is quite laborious. Digital twins allow our employees to practice complex operational steps repeatedly in the simulated world. At the same time, there can be a coach guide system to continuously correct mistakes, so that employees can quickly understand various emergency plans in a shorter time and become more relaxed and comfortable to avoid errors. Moreover, by setting emergency scenarios, fine-tuning the actual factory equipment parameters, conducting safety and emergency planning training to make employees familiar with the handling methods and reduce the incidence of safety accidents!
You have any other things to pay attention to? When installing sensors, the sensors should be distributed as reasonably as possible to avoid incomplete data coverage, and the data accuracy should be calibrated regularly. As for data security, strengthen corresponding measures to prevent privacy leakage. After all, if the real production data is accidentally fall into the hands of an illegal guy, it will be a big trouble. We need to take good protection. When purchasing, we can purchase goods from regular channels. If we purchase weakly, we cannot choose too low-quality products and other small places. Let’s do it step by step. We noticed that each small point will gradually have practical results. So in my opinion, large-scale promotion in factories can bring real changes to the manufacturing industry from a long-term perspective, saving costs and effectively benefiting the factory. If it is widely used, it will definitely develop well.
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