Research on power grid digital twin data embedding technology based on semantic matching

At present, there are great differences in the types and methods of sensing devices supporting the power grid digital twin to realize full sensing. Only relying on the point-to-point setting method to realize a large amount of interactive information between the sensor and the digital twin virtual body cannot meet the application requirements. In order to solve the above problems, a power grid digital twin data embedding method is provided. The perception information is sent to the corresponding digital twin according to the matching degree between the digital twin scene semantic attribute and the perception device scene semantic attribute, so that the corresponding digital twin can embed the perception data in the perception information into the data set corresponding to the relevant service function. It can realize the flexible adaptive mapping between the perceived information and the digital twin, ensure the automatic matching and access of various sensing devices, improve the adaptability between the perceived information and the digital twin, avoid the problem of insufficient interaction ability of virtual and real mapping caused by manual point-to-point setting, and effectively promote the development of various power application services based on the power grid digital twin