多源数据融合的电梯门系统故障智能诊断方法

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本文引用格式：，，，等.多源数据融合的电梯门系统故障智能诊断方法[J].自动化与信息工程，2025，46（6）：32-39.TAOYang，WUBiyu，CHENXiaojun，etal.Intelligentfaultdiagnosismethodforelevatordoorsystemsbasedonmulti-source data fusion[J].Automation& Information Engineering，2025，46（6）：32-39.

关键词：电梯门系统；故障诊断；多源数据融合；运行曲线分析；预测性维护中图分类号：TP277 文献标志码：A 文章编号：1674-2605（2025）06-0005-08DOI： 10.12475/aie.20250605 开放获取

Intelligent Fault Diagnosis Method for Elevator Door Systems Based on Multi-source Data Fusion

TAO YangWU BiyuCHEN Xiaojun CAO Lianfeng （Guangzhou Robustel Co.，Ltd.， Guangzhou 511356， China）

Abstract：Aimingatteproblemsofinsuficientreal-timeperformanceandhighmisjudgmentrate intraditionalelevatordoor systemfaultdiagnosismethods，anintellgentfaultdiagnosismethodbasedonmulti-sourcedatafusionisproposed.Thismethod integratesmulti-sourcedatasuchasacceleration，velocity，anddisplacement，andcomparesthereal-timeoperationcurves （displacementvelocityacceleration）ofthedoorbodywiththestandardoperationcurvestoacheveaccuratediagnosisadearly warningoffaultssuchasprolongedoperationtimeandshortened traveldistance.Experimentalresultsshowthatcomparedwiththe traditional videoanalysis method，thecomprehensiveaccuracyandoverall recallrateof this methodare increasedby 34.15% and 24.23% ，respectively，and the average single fault diagnosis timeis reduced by about 2，050ms .This providesareliable and efficient technical path for transforming elevatordoorsystem maintenancefrompassverepair toactivepredictive maintenance.

Keywords： elevatordoorsystem;fault diagnosis; multi-sourcedata fusion;operationcurveanalysis; predictive maintenance

0 引言

电梯作为城市垂直交通的核心载体，其门系统故障占比超过 45%[1] ，直接影响乘梯安全与运行效率。（剩余7601字）