Transformer substation equipment state intelligent identification system based on machine vision

Abstract

The invention discloses a transformer substation equipment state intelligent identification system based on machine vision. The system comprises an intelligent inspection monitoring platform, a videoserver, an intelligent image recognition server and a monitoring terminal; the intelligent inspection monitoring platform is in communication connection with the intelligent image recognition server and the video server. The monitoring terminal is connected to the video server. The substation equipment state intelligent identification system is connected with the SCADA system through the forward isolation device and the reverse isolation device. The intelligent inspection monitoring platform is used for monitoring and managing inspection videos, wherein the intelligent image recognition serveris used for carrying out image recognition on the on-off state of the transformer substation equipment and outputting a recognition result, the video server is used for controlling the video monitoring terminal and caching videos and images collected by the video monitoring terminal, and the video monitoring terminal is used for collecting videos and images of the transformer substation equipment. According to the invention, the inspection efficiency and quality are improved, the personal safety is ensured, and the operation and maintenance level of substation equipment is improved.

Description

technical field [0001] The invention relates to the field of substation equipment status monitoring, and more particularly relates to a machine vision-based intelligent identification system for substation equipment status. Background technique [0002] At present, the status identification of substation equipment mainly adopts the manual checking method, which has the following problems: ①The operation efficiency is low. Although substations have generally adopted the unattended mode, when the equipment switching operation is performed by remote control, the equipment site still needs to arrange staff to confirm the equipment status item by item according to the operation progress, which reduces the working efficiency of the switching operation. ②The work quality is not high. There are a large number of equipment in the substation, and the workload of equipment status check after switching operation, equipment regular inspection or special inspection equipment status check...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an intelligent identification system for substation equipment status based on machine vision in order to overcome the above-mentioned defects in the prior art that the status identification of substation equipment relies on manual labor, low work efficiency and low work quality.

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