计算机应用与软件2025，Vol.42Issue(7)：27-32,6.DOI:10.3969/j.issn.1000-386x.2025.07.004
基于流计算的动车组PHM模型处理框架
A FRAMEWORK OF EMU PHM MODEL PROCESSING BASED ON STREAM COMPUTING
摘要
Abstract
To solve the problem of real-time massive data parsing and model computing of EMU PHM,a PHM model processing framework for EMU based on stream computing is presented.The data processing flow of the EMU was analyzed,and the overall framework of the PHM model processing of the EMU was given based on Spark Streaming.For real-time massive data parsing and processing,the in-vehicle data structure before parsing was analyzed,the parsed in-vehicle data structure was defined.A universal data parsing component was designed,and the implementation of stream computing was given.For model computing,the formal definition of PHM model was given in detail at first,including the basic information,input,output and logical body of the model.Based on this definition,the common components of the model were designed,which enabled the rapid development,efficient computing and unified application of the model.Through the effective application of the EMU PHM system,it is proved that the framework can meet the real-time computing demands of large amounts of data very well.关键词
动车组/故障预测与健康管理/流计算/模型/形式化/组件化Key words
EMU/PHM/Stream computing/Model/Formalization/Component分类
信息技术与安全科学引用本文复制引用
李燕,王辉,杨春辉,李超旭,赵士伟..基于流计算的动车组PHM模型处理框架[J].计算机应用与软件,2025,42(7):27-32,6.基金项目
中国国家铁路集团有限公司系统性重大项目《动车组故障预测与健康管理(PHM)技术与实施深化研究》(P2020J016). （PHM）
