| The "double management and double control cloud computing big data service platform" is composed of cloud computing,big data,data sharing and exchange,control workflow engine,data big screen,business portal,intelligent mobile terminal electronic manual account and other technologies.The construction of the double management and double control cloud computing big data service platform in Jining locomotive depot is based on the three elements of "people,vehicle and figure" to integrate the locomotive information in an all-round way.The information resources are effectively connected with other relevant information systems to maximize the benefits.The platform closely adheres to the dual control system of risk investigation and hierarchical control and hidden danger investigation and control.According to the idea of "let data speak,let information act as a reference",it highlights the theme of locomotive management,vehicle management,safety control and quality control,and takes "breaking information barriers,integrating data resources,and strengthening information sharing" as the working idea to build a "safety information analysis center,locomotive quality analysis" The large data analysis center of locomotive depot is composed of center,locomotive operation analysis center and comprehensive analysis center.The comprehensive service ability of "double management and double control cloud computing big data service platform" forms a business closed-loop,which can meet the actual needs of locomotive depot business from multiple levels.To solve the problems of low information sharing,unbalanced application development,insufficient business application depth,insufficient data value,weak information infrastructure,and insufficient overall protection capacity of network security;to strengthen the construction of security information management and control system of locomotive depot,improve the information management system,unify the standard specification system and rules and regulations system;to check the information through big data platform.Manage and control interest data analysis and effectively assess the work of relevant departments. |