地铁站台门系统设备健康管理研究与应用

摘要

综合研究地铁机电设备运行特性,实现从被动故障修和计划修向主动智能状态修的跨越.提出一种地铁机电设备健康管理评价方法,通过失效实验验证机电设备状态量的门槛阈值,利用数学模型对设备状态进行量化,并基于状态量健康指标评判设备状态的优劣.在此基础上,运用MATLAB拟合时间与设备健康指数之间的非线性关系模型,求解并预测设备健康状态及维护时间节点,对科学规划设备检修周期、提前预判设备状态具有重要的理论及实践指导意义.研制设备状态量智能采集装置,通过上位机实时计算验证、预判,并在郑州地铁1号线进行充分验证,达到预期效果.%The operation characteristics of mechanical and electrical equipment for metro are comprehensively studied.The transition is expected to be achieved from the passive fault repair and planned repair to active intelligent state repair.A health management evaluation method for metro electromechanical equipment is put forward,in which the threshold of mechanical and electrical equipment quantity is verified through the failure experiments,the equipment condition was quantified by the mathematical model,and the equipment condition is evaluated based on state health index.On this basis,by using MATLAB to fit the nonlinear relationship model of time and equipment health index,health status and maintenance time node can be predicated,which is of great theoretical and practical significance for predicting and planning equipment maintenance.An intelligent acquisition device for equipment status is developed,which is verified and predicted by the host computer in real time.The research has been fully verified in Zhengzhou Metro Line 1 and achieved the desired results.