Transformer substation online intelligent patrol centralized monitoring system and method

Abstract

The invention provides a transformer substation online intelligent patrol centralized monitoring system and method. The system carries out the linkage interaction with a main and auxiliary monitoringsystem, obtains a main and auxiliary equipment linkage signal, obtains an associated equipment point location list according to the linkage signal, and constructs an inspection task according to the equipment point location and a pre-configured linkage strategy or creates the inspection task according to requirements; the inspection task is issued to corresponding station ends, centralized controlis performed on the station ends, the corresponding inspection task is split into a plurality of sub-tasks by each station end, and the corresponding sub-tasks are concurrently executed by differentinspection execution systems; multi-dimensional inspection data acquired by each inspection execution system of each station end concurrently executing the corresponding sub-task is received; and an intelligent analysis algorithm adopted by each station end is determined by utilizing a cloud edge cooperation method, the equipment state is identified by utilizing the intelligent analysis algorithmbased on the multi-dimensional inspection data, and alarming or / and equipment operation and maintenance are performed according to an identification result. The problems that robot inspection has an inspection blind area, a single video coverage area is small, and fault emergency disposal is not timely are solved, the comprehensiveness, accuracy and intelligence of transformer substation equipmentinspection are improved, and the linkage capacity of a system in a transformer substation is increased.

Description

technical field [0001] The invention belongs to the technical field of intelligent inspection of power systems, and in particular relates to a centralized monitoring system and method for online intelligent inspection of substations. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the continuous development and application of artificial intelligence and communication technology, it has become a trend to use inspection robots, fixed high-definition video and other equipment in substations to replace manual inspections and realize unattended substations. By applying advanced technologies such as edge computing, big data, and artificial intelligence, conditions are created for operation and maintenance personnel to carry out remote unmanned inspections, thereby improving work efficiency, reducing on-site operation risks, and improving th...

AI Technical Summary

Problems solved by technology

[0005] (1) There are blind spots in the current inspection robot inspection, and it is impossible to achieve full coverage of the inspection

[0006] (2) The accuracy of equipment failure identification and discrimination is insufficient, and the real-time performance and accuracy of the analysis algorithm need to be further optimized and improved

[0007] (3) The current substation monitoring system does not process the linkage signal from the main and auxiliary equipment monitoring system, and does not integrate multi-dimensional information, and the linkage signal of the main and auxiliary equipment is the information that users are more concerned about, so there is a lack of data sharing and coordination between systems

[0008] (4) The current alarm review method lacks the multi-dimensional linkage review that combines robots and high-definition video for alarm review, and lacks the way for multiple robots to coordinate alarm review, which does not improve the accuracy of alarm review

[0009] (5) The current detection method is only to detect equipment parameters through sensors, and there is no analysis of other dimensions of detection reference

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