煤矿安全2024，Vol.55Issue(8)：221-226,6.DOI:10.13347/j.cnki.mkaq.20231429
一种煤矿安全监控系统设备故障智能诊断实现方法
A method for intelligent fault diagnosis of coal mine safety monitoring system equipment
摘要
Abstract
In view of the diversity of equipment failure causes in the field application of coal mine safety monitoring system at the present stage,for some deep-level equipment failure causes,field technicians do not have the ability to conduct in-depth analysis,an intelligent diagnosis method of equipment failure based on intelligent diagnosis model base is proposed.This method first imple-ments an intelligent diagnostic model library,which models various analysis methods collected by collecting indicator data and ana-lysis methods required by technical experts for daily analysis and problem-solving.Then,various models are abstracted into ma-chine programming languages for implementation,forming an intelligent diagnostic model library for equipment;secondly,based on the pre-installed software and hardware probes of the equipment,combined with an intelligent diagnostic model library,a compre-hensive analysis of the causes of equipment faults is modeled,and the self-analysis,self-diagnosis,and self-repair functions of sub stations,sensors,power outage controllers,and other equipment are completed;finally,through a series of intelligent diagnostic front-end UI interaction methods such as device automatic topology diagrams,users are provided with convenient diagnostic operations and graphical and graphical data analysis and display of relevant information.While improving the stability and reliability of the coal mine safety monitoring system,it is possible to empower users and assist in the intelligent development of reducing personnel and in-creasing efficiency.关键词
安全监控系统/诊断探针/智能诊断模型/设备故障/数据感知Key words
safety monitoring system/diagnostic probe/intelligent diagnosis model/equipment fault/data aware分类
矿业与冶金引用本文复制引用
张卫国..一种煤矿安全监控系统设备故障智能诊断实现方法[J].煤矿安全,2024,55(8):221-226,6.基金项目
天地(常州)自动化股份有限公司研发资助项目(2023GY2001) （常州）
