產品類別
PRODUCT GATEGORYA key driver of the digital transformation of manufacturing
With the development of information technology and the progress of manufacturing technology, people's material life is increasingly rich, and at the same time, there are more and more intelligent and personalized demands for products. How to improve production efficiency, shorten product time to market, adopt more flexible and flexible production mode, improve resource and energy utilization rate, and quickly respond to the intelligent, personalized and changeable demand of the market are the main issues facing the global industry today. In order to solve these problems, the world's major industrial powers have put forward their own intelligent manufacturing strategic vision planning, such as Germany proposed "Industry 4.0", the United States proposed "manufacturing revival plan", China proposed "Made in China 2025" strategy. Digital twin technology, as one of the core technologies for the construction of the meta-universe, together with a series of technologies such as industrial Internet of Things, 5G communication, big data, cloud computing, artificial intelligence and 3D visualization, can build virtual images of objects in the real world, simulate, simulate, predict and assist decision-making in terms of geometric shape, physical model and behavioral state. Thus, the above problems can be effectively solved and the vision of intelligent manufacturing can be realized.
1. Interoperability
Physical objects and digital space in digital twin can be bidirectional mapping, dynamic interaction and real-time connection, so digital twin has the ability to map physical entities with various digital models, and has the identity of transforming, merging and establishing "expression" between different digital models.
2. Scalability
Digital twin technology has the ability to integrate, add and replace digital models, and can be extended for multi-scale, multi-physical and multi-level model content.
3. Real-time
Digital twining requires digitization, that is, the management of data in a way that can be recognized and processed by computers to represent physical entities that change over time. The objects represented include appearance, state, attribute and internal mechanism, forming the digital virtual body mapping of the real time state of physical entity.
4. High fidelity
The fidelity of digital twinning refers to the closeness between the digital virtual model and the physical entity. It is required that virtual body and entity should not only maintain a high degree of simulation in geometric structure, but also in state, phase and temporal simulation. It is worth mentioning that in different digital twinning scenarios, the simulation degree of the same digital virtual body may be different. For example, in the working condition scenario, it may only be required to describe the physical properties of the virtual body, without paying attention to the details of the chemical structure.
5. Closed loop
The digital virtual body in the digital twin is used to describe the visualization model and internal mechanism of the physical entity, so as to facilitate the monitoring, analysis and reasoning of the state data of the physical entity, optimize the process parameters and operation parameters, and realize the decision-making function. In other words, the digital virtual body and the physical entity are endowed with a brain, so the digital twin has a closed-loop property.
