电梯智能运维技术发展与趋势  

Development and Trend of Elevator Intelligent Operation and Maintenance Technology

作　　者：陶杰[1] 蒋曦阳 黄健鹏 童一飞[2] TAO Jie;JIANG Xiyang;HUANG Jianpeng;TONG Yifei(Special Equipment Safety Supervision Inspection Institute of Jiangsu Province,Nanjing,Jiangsu Province,210036 China;School of Mechanical Engineering,Nanjing University of Science&Technology,Nanjing,Jiangsu Province,210094 China)

机构地区：[1]江苏省特种设备安全监督检验研究院,江苏南京210036 [2]南京理工大学机械工程学院,江苏南京210094

出　　处：《科技资讯》2023年第3期43-46,共4页Science & Technology Information

基　　金：2020年度江苏省特种设备安全监督检验研究院科技项目《电梯智能远程运维方法与关键技术研究》(项目编号:KJ(Y)2020006)。

摘　　要：随着我国电梯保有数量的急剧上升,电梯与日常生产生活的联系越发紧密,如何保障电梯正常运行并及时对故障进行诊断与预警以实现电梯智能运维控制,成为了政府与相关学者重点关注的问题。该文阐述了电梯智能运维中故障监测、预警等信息化系统建设中涉及到的技术,其包括电梯故障监测、电梯故障诊断、电梯故障预警、数据流处理技术、深度学习技术。With the rapid increase of the number of elevators in our country,the connection between elevators and daily production and life is becoming more and more close.How to ensure the normal operation of elevators and timely diagnose and early warning of failures to achieve intelligent operation and maintenance control of elevators has become a key concern of the government and relevant scholars.This paper describes the technologies involved in the construction of information system such as fault monitoring and early warning in elevator intelligent operation and maintenance,including elevator fault monitoring,elevator fault diagnosis,elevator fault early warning,data flow processing technology,and deep learning technology.

关 键 词：电梯 智能运维 故障监测 故障诊断 深度学习 

分 类 号：U291.63[交通运输工程—交通运输规划与管理]