Digital twin is a new core technology concept that prioritizes practical activities and defines it later. It has particularly strong correlation and sustainability with key technologies such as Internet of Things technology, physical model construction, and simulation analysis. Digital twins have the typical characteristics of cross-technical fields, cross-information system integration, and cross-industry combination, and involve a wide range of technologies. Since the definition was clearly proposed, technical boundaries have not been clear enough. At this stage, digital twins are used as
The new generation of information technology has brought opportunities and challenges to traditional enterprises in achieving strategic transformation. Recently, the Xi'an Sisyphus team has reached a strategic cooperation with the DataMesh digital twin service platform to carry out in-depth collaboration around digital twins and metaverse space industry-related processes and products.
Today, digital twins serve as a highway bridge between the automotive world and the data world. They are not only the projection of the physical world onto the data world, but also the interaction between the physical world and the data world. Because digital twins are traceable and editable in the data world, artificial neural networks, Internet big data and artificial intelligence applications can be used to analyze the physical world.
From simple digital twins of commodities, machinery and equipment, production lines, etc. to more complex enterprise management and city digital twins. In order to cope with different twin goals, in fact, the focus and main purpose of body model construction are different. I firmly believe that in the digital age, digital twin technology will become a widely used bottom technology, and intelligence in all fields will eventually become digital twins - Dr. Peng.