铁路大机液压健康监测大数据平台设计与实现

Big data platform for hydraulic health monitoring of railway large-scale maintenance machinery

针对铁路大型养路机械(简称:大机)液压部件健康监测需求,设计开发铁路大机液压健康监测大数据平台。采用前后端分离的开发方式,依托大数据、物联网、云计算等技术,实现了铁路大机实时工况显示、数据存储、健康分析及动态监测预警等功能。应用表明,该平台可为铁路大机液压件的质量管理、状态修等提供决策依据,对铁路养路机械的智能化发展具有推动作用。

In response to the health monitoring needs of hydraulic components of railway large-scale maintenance machinery,this paper designed and developed a big data platform for hydraulic health monitoring of railway large-scale maintenance machinery.The paper adopted a development approach of front-end and back-end separation,relied on technologies such as big data,Internet of Things,and cloud computing to implement real-time display of working conditions,data storage,health analysis,and dynamic monitoring and warning of large-scale railway maintenance machinery.The application shows that this platform can provide decision-making basis for quality management,condition repair,and other aspects of railway hydraulic components,and has a promoting effect on the intelligent development of railway maintenance machinery.