朔黄铁路基础设施运维智能决策技术研发及应用

Research and Application of Intelligent Decision-Making Technology for Operation and Maintenance of Shuohuang Railway Infrastructure

为探讨朔黄铁路基础设施运维的智能决策关键技术,解决朔黄铁路基础设施运维中指标管理混乱、口径不一、数据孤立且难以共享等问题,构建基于指标全生命周期管控的智能决策体系架构,研发智能决策算法与可视化组件,实现对朔黄铁路指标的全生命周期管理和决策大屏的定制化开发。创新性提出“千人千面”的指标多维动态可视化管理技术,建立统一的指标管理中心,实现对指标从接入、计算到展示的统一管理,设计研发组件化大屏,攻克指标建设、分析、展示、共享的全生命周期管理瓶颈。依据人工智能和不确定性理论,构建Apriori预测预警模型,对企业运行情况进行全时段、全方位、全空间的监测,及时对异常指标项进行预警、挖掘、分析和动态展示,提供跨专业的智能决策支持服务。

In order to explore the key technologies of intelligent decision-making and solve the problems of chaotic indicator management,inconsistent caliber,isolated data,and difficulty in sharing in the operation and maintenance of Shuohuang Railway infrastructure,an intelligent decision-making system architecture based on lifecycle control of indicators was constructed.Intelligent decision-making algorithms and visual components were developed to achieve lifecycle management of indicators and customized development of decision-making screens for Shuohuang Railway.This paper innovatively proposed multi-dimensional dynamic visual management technology for indicators of“thousands of people with thousands of faces”,established a unified indicator management center,and realized unified management of indicators from access,calculation,to display.It also designed and developed componentized screens and overcame lifecycle management bottlenecks in indicator construction,analysis,display,and sharing.Based on artificial intelligence and uncertainty theory,the Apriori prediction and early warning model was constructed to conduct full-time,all-round,and full-space monitoring of enterprise operations,timely warn,mine,analyze,and dynamically display abnormal indicator items,and provide cross-professional intelligent decision-making support service.