Abstract:Aiming at the problems of the current state maintenance method in the single state of substation equipment, the island of system information and the low efficiency of state maintenance, this paper proposes a multi-dimensional sensing and intelligent diagnosis system for substation equipment based on big data technology. The system realizes the multi-dimensional, real-time and panoramic sensing of the device by creating a multi-dimensional sensing system for the edge-changing equipment, and constructs a unified edge-interacting agent to complete the pre-processing of the perceptual data. On this basis, the device state multi-source heterogeneous data is merged by setting up a cloud big data platform. intelligent analysis and diagnosis of equipment status based on big data is carried out to achieve accurate equipment maintenance. The article first introduces framework of the multi-dimensional sensing and intelligent diagnosis system of substation equipment, then elaborates the design and function of the system edge multi-dimensional sensing and cloud intelligent diagnosis part. Finally, the main transformer oil temperature-oil level correlation state quantity is taken as an example to analyze the state analysis and evaluation. The results of the example prove the effectiveness and practicability of the proposed system function, and provide effective for improving the efficiency of the substation equipment.