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.

I. Introduction

As one of the key links in the construction of a strong smart grid, substation is the source of information perception of grid operation and the command execution terminal of grid control, the core node of power flow and information flow, and the basic support for the safe and stable operation of power grid. The detection technology of substation monitoring system is an important technical means to ensure the safe, stable, high-quality and economic operation of power system and substation, and the traditional method of relying on manual detection and evaluation of the equipment and system suffers from the problems of low work efficiency and poor effectiveness.