自动化与信息工程2025，Vol.46Issue(6)：32-39,8.DOI:10.12475/aie.20250605
多源数据融合的电梯门系统故障智能诊断方法
Intelligent Fault Diagnosis Method for Elevator Door Systems Based on Multi-source Data Fusion
陶洋 1吴碧瑜 1陈小军 1曹连峰1
作者信息
- 1. 广州鲁邦通物联网科技股份有限公司,广东 广州 511356
- 折叠
摘要
Abstract
Aiming at the problems of insufficient real-time performance and high misjudgment rate in traditional elevator door system fault diagnosis methods,an intelligent fault diagnosis method based on multi-source data fusion is proposed.This method integrates multi-source data such as acceleration,velocity,and displacement,and compares the real-time operation curves(displacement,velocity,acceleration)of the door body with the standard operation curves to achieve accurate diagnosis and early warning of faults such as prolonged operation time and shortened travel distance.Experimental results show that compared with the traditional video analysis method,the comprehensive accuracy and overall recall rate of this method are increased by 34.15%and 24.23%,respectively,and the average single fault diagnosis time is reduced by about 2,050 ms.This provides a reliable and efficient technical path for transforming elevator door system maintenance from passive repair to active predictive maintenance.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Key words
elevator door system/fault diagnosis/multi-source data fusion/operation curve analysis/predictive maintenance分类
信息技术与安全科学引用本文复制引用
陶洋,吴碧瑜,陈小军,曹连峰..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):32-39,8.
