摘要
目前列车运行控制装置(LKJ)设备分析系统存在分析不全面、效率低、故障定位难等问题。文章分析了LKJ设备分析系统未来发展需求和大数据技术的应用情况,提出一种基于大数据技术的LKJ设备分析系统方案,其基于大数据平台,采用连续变量突变、相关系数法、复杂关系网络等分析方法对LKJ设备大量历史数据进行挖掘分析,形成了LKJ设备的异常数据和故障关键因素及支持度。大数据技术的应用为LKJ设备故障及时查找、故障分析和维护提供数据支撑和决策指导。
At present,there are some problems in LKJ equipment analysis system,such as incomplete analysis,low efficiency and difficult fault location.This paper analyzed the future development requirements of LKJ equipment analysis system and the application of big data technology,and proposed a scheme of LKJ equipment analysis system based on big data technology.Based on the big data platform,it uses continuous variable mutation,correlation coefficient method,complex relationship network and other analysis methods to mine and analyze a large number of historical data of LKJ equipments,forming abnormal data and key fault causes of LKJ equipments and support.The application of big data technology can provide data support and decision guidance for problem finding in time,fault analysis and maintenance of LKJ equipments.
作者
杨献
言圣
YANG Xian;YAN Sheng(Hunan CRRC Times Signal&Communication Co.,Ltd.,Changsha,Hunan 410100,China)
出处
《控制与信息技术》
2020年第4期44-48,共5页
CONTROL AND INFORMATION TECHNOLOGY
基金
湖南创新型省份建设专项(2019GK4015)。
