电梯故障诊断系统研究与应用

发布时间：2018-07-31 06:24

【摘要】：最近几年的时间里,经常会出现电梯事故,造成了人员伤亡和财产损失,不加剧了民众对电梯的恐惧。目前,计算机技术以及嵌入式技术和网络技术等前沿科技发展的势头十分迅速,人们在探究将计算机技术及嵌入式技术以及网络技术应用到电梯故障诊断中。本文应用电梯故障诊断理论和方法,结合作者所从事的电梯等特种设备检测工程实践,对电梯故障诊断系统进行设计,并系统的阐述了其实现过程与应用。对电梯的基本结构进行了简要介绍,重点总结分析了电梯常见故障及其特点,系统的阐述了目前电梯故障诊断方法。对电梯故障诊断系统进行了需求分析,对电梯故障诊断系统进行总体设计及各功能模块设计,包括系统远程终端、通信控制器、数据库服务器、远程监控通信服务器、Internet服务器以及故障诊断中心等设计过程。重点以某电梯为例,应用BP,对其故障进行诊断,包括故障诊断的具体流程、仿真电路、故障模式设置、特征向量提取、BP的结构的确定以及故障诊断结果分析。本文设计的电梯故障诊断系统,故障诊断正确率在93.33%~100%之间,解决了目前作者单位电梯故障检测效率低下、信息化程度不高等问题。此外,本文的研究成果,对于同类电梯设备的故障诊断及系统开发研究具有较大的借鉴意义和应用价值。
[Abstract]:In recent years, there have been frequent elevator accidents, causing casualties and property losses, not heightening public fears of elevators. At present, computer technology, embedded technology and network technology are developing rapidly. People are exploring the application of computer technology, embedded technology and network technology to elevator fault diagnosis. In this paper, the elevator fault diagnosis system is designed based on the elevator fault diagnosis theory and method, and combined with the elevator and other special equipment detection engineering practice. The realization process and application of the system are described systematically. This paper briefly introduces the basic structure of the elevator, summarizes and analyzes the common faults and their characteristics of the elevator, and expounds systematically the present methods of the elevator fault diagnosis. The requirements of the elevator fault diagnosis system are analyzed. The overall design of the elevator fault diagnosis system and the design of each functional module are carried out, including the remote terminal, communication controller, database server, etc. The design process of remote monitoring communication server, Internet server and fault diagnosis center, etc. Taking an elevator as an example, this paper uses BPto to diagnose its faults, including the concrete flow of fault diagnosis, simulation circuit, fault mode setting, the structure determination of feature vector extraction and the analysis of fault diagnosis results. In the elevator fault diagnosis system designed in this paper, the correct rate of fault diagnosis is between 93.33% and 100%, which solves the problems of low efficiency and low information level of elevator fault detection in the author's unit at present. In addition, the research results of this paper have great reference significance and application value for the similar elevator equipment fault diagnosis and system development research.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU857

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