基于多维度优化的变电站巡检机器人SF6表计识别度提升方法

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A Method for Improving the Recognition Degree of SF6 Gauge by Substation Inspection Robots Based on Multi-dimensional Optimization

Zhao Xiaoqiang

(Inner Mongolia EHV Power Supply Branch,Inner Mongolia Power(Group) Co.,Ltd.,Hohhot 010080)

Abstract: To address the operational efficiency bottleneck caused by the low accuracy (only 70.25% ) of SF6 gas gauge recognitionbyinteligentinspectionrobots insubstations,thisstudyproposesamulti-dimensionalsolutionintegratinghardware improvements,materialupgrades,and processoptimization.Bydesigning high-contrast auxiliary positioning markers, establishing standardizedcameramaintenanceprocedures,and upgradingtheobservation window material topolycarbonate (PC),thethree majorfailure factorsof positioning deviations,window contamination,and gauge aging were systematically resolved.Fieldvalidation in substationsdemonstrated thatthe SF6 gaugerecognitionaccuracyincreased to 93.79 % (exceeding the target by 3.79% ), manual verification workload decreased by 67% ,and single-inspection duration shortened by 42 minutes.Thisapproach significantlyreducesoperationalcostsand providesacritical technicalfoundationforthe intelligent transformation of power systems.

KeyWords:inteligent inspectionrobots;SF6 gauge recognition; machine vision; positioning accuracy;multi-dimnsional optimization

随着我国电网建设的快速推进和智能化水平的不断提升，变电站的规模化、集约化发展成为必然趋势。（剩余12202字）