地铁自动扶梯在线监测及预警系统的设计

Design of On-line Monitoring and Early Warning System for Subway Escalators

提出一种基于云平台的自动扶梯在线监测预警系统,系统包括线网云平台、线网中央级的数据综合服务系统、数据传输系统以及站级的前端监测预警系统。系统对线网中各台自动扶梯主要部件的运行状态信息进行在线监测,并基于线网中海量的自动扶梯的运维数据,研究自动扶梯零部件及整机服役能力的变化规律,克服了现有技术无法提前预测自动扶梯故障的技术问题。

An escalator online monitoring and prediction system and method based on the subway cloud platform is proposed. The system consists of a cloud platform, a central-level data integrated service system, a data transmission system and station-level front-end monitoring and prediction system;the system monitors the status of the main components of each escalator in the line network, and based on the operation and maintenance data of the massive escalator in the line network, the system can discover the changing rules of the escalator parts and the performance of the whole machine, the method overcomes the technical problems that the prior art cannot predict the escalator failure state in advance.