Study On EMU Maintenance In The Internet Of Things And Its Key Technologies

High-quality high-efficiencyMaintenance&Operationguaranteesthe operatingsafety and service quality of high-speed trains. EMU (Electric Multiple Units) is atightlyintegrated bodywith high technical content, itsmaintenance&operation fashionof aremuch different from that of legacy railway rolling-stocks, which is characterizedby specialization, routinization, intensiveness as well as socialization.Therefore, higherrequirement are put forward on the production management, technicaladministration, safety and quality control. This paper is based on amajor railwayengineering project-EMU Management Information System, with an emphasis on theinformation management approaches inInternet of things (IoT).The EMU maintenance in IoT is an upgrading and perfection in terms of automaticinformation sensing and associated utilization;in which intelligent services such asidentification, location, tracking, and management are achieved owing toabundantinformation originated from trains, parts, staff and device in the EMUoperation&maintenance domain.Ubiquitous sensing and reality visualization of IoT, aswell as its emphasis on theconbination of information space and physical process,offers appropriate soluationsfor a series of inherent problems in present informationsystems.Implementing information sensing with IoT technologies like RFID,sensor,.etc,theproperties, location, and status of business objects are integratedtogether; studying the design method of EMU maintenance in IoT; estabilishingcorresponding comprehensive integrated general framework; overcome necessary keytechnologies; seeking appropriate application scenarios, optimizing legacy businessprocess, deepening application function; eventually forming an innovative practicebased on the IoT.The primary works of this paper are as followed:(1) Summarizing basic concept and current development of IoT, chosingtypical IoT applications with referenced value, experience and enligntenment wereattained during application pattern analysis. Summing up the initial results of IoT inEMU maintenance, analyzing existed problems in current maintenance information system; the requirements of IoT, research objectives, main content, and technicalapproaches were proposed.(2) After thorough analysis of EMU maintenance business, the applied scenarioswere divided into two parts: High-end Integrated Application in MaintenanceWorkshop, and Traffic Safety Monitoring and Repair Based on Condition, pointing outthe application and realization difficulties.(3) Presenting the general design principals of IoT system; moreover, referringtechnical acceptance model (TAM), user acceptance factors with respect of IoTtechnologies were concluded; qualitative and quantitativeproject decision methodsfor IoT technical solution were studied, on which a rigorous design flow was presented.(4) Complying with the design flow of EMU maintenance in IoT, and referringinfluential IoT reference Architectures, the general framework of EMU maintenance inIoT,as well as its functional components and relationship, was proposed.(5) Summarizingimportant factors of IoT hardware selection and design, realizingthe front-end sensing systems in EMU maintenance; complete technical solutions,which consist of part identification, staff identification, train identification,maintenance equipment identification, EMU running state sensing, as well as indoorproductive objects location, were presented.(6) Studying key technologies involved in the IoT system for EMU maintenance.○1Data Quality Control: a layered “hardware-middleware-application” data qualitycontrol mechanism was proposed, in which some data cleaning algorithms weredesigned. Performing evaluation through simulation, in which a number of devicelayout suggestions were acquired.○2High-level Business Information Extraction: anevent-driven RFID data processing framework was proposed, in which the complexevent processing method was studied to discovery potential relationship in on-linedata flow and realize high-level business information extraction.○3Massive DataStorage&Processing: The massive EMU operation and failure data storage method, aswell as intensive data processing technologies were presented.○4InformationSafety&Privacy Protection: With respect to the new hidden trouble owing to theadoption of IoT technologies, a security framework of EMU maintenance in IoT waspresented. (7) With respect to the two application scenarios, i.e. High-end IntegratedApplication in Maintenance Workshop, and Traffic Safety Monitoring and Repair Basedon Condition, technical solutions of information integration, business flowoptimization, and deepened applied functions were proposed respectively; anddesigning application system which support high-end comprehensive services.