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轮轨力在线监测类系统设备状态智能预警平台设计
引用本文:田德柱,卢世团.轮轨力在线监测类系统设备状态智能预警平台设计[J].铁路计算机应用,2020,29(4):5.
作者姓名:田德柱  卢世团
作者单位:1. 中国铁道科学研究院集团有限公司 铁道建筑研究所, 北京 100081;
基金项目:中国铁道科学研究院集团有限公司基金(2018YJ039)
摘    要:为实现轮轨力在线监测类系统设备状态的预判,提高维护效率,设计了轮轨力在线监测类系统设备状态智能预警平台,对平台的总体架构和功能架构进行了详细描述,研究了设备异常状态的预报警策略和平台安全管理方法,提供设备状态监控、趋势展示、预警、查询、统计等功能。该平台的应用可大幅降低设备维护人员的劳动强度,提高工作效率,实现设备故障的预判,有效缩短故障时间,为设备维护单位提供有力的技术支撑。

关 键 词:设备状态    传感器    检测设备    预警
收稿时间:2019-10-13

Intelligent early warning platform for equipment status of wheel rail force online monitoring system
Institution:1. Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;2. Zhongtie Science&Technology Development Corp., Beijing 100081, China
Abstract:In order to achieve the prediction of the equipment status of wheel rail force online monitoring system and improve the maintenance efficiency, this paper designed an intelligent early warning platform for the equipment status of wheel rail force online monitoring system, described the overall framework and functional framework of the platform in detail, studied the warning strategy and platform security management method of equipment abnormal state, and provided equipment state monitoring, trend display, early warning, query, statistics and other functions.The application of the platform can greatly reduce the labor intensity of equipment maintenance personnel, improve work efficiency, implement the advance prediction of equipment failure, effectively shorten the failure time, and provide strong technical support for equipment maintenance units.
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