Design of Automatic Identification System for Substation Monitoring Interface Based on Machine Vision

Substation is one of the key nodes in building a new energy system. The level of intelligence in substations directly affects the safety and efficiency of smart grids. In order to test and evaluate the working status of the substation monitoring interface, this work designs an automatic identification system based on machine vision. Firstly, an intelligent monitoring software and hardware platform for the substation monitoring interface is designed, utilizing a modular approach to decompose subsystems. At the same time, an intelligent entity recognition algorithm based on machine vision is proposed to accurately classify and recognize interface entities, and to compare and verify with test inputs. This system avoids manual verification and comparison, and achieves fully automatic testing of substation monitoring.