Abstract: This article summarized the research background and problems to be solved for the state diagnosis and assistant management decision system of railway administration information system, determined the overall structure, data process flow, the operation environment, and status log of the system. Combined with Hadoop, Kafka big data technology, based on ripple, STL and other artificial intelligence algorithms, the system implemented the functions of massive log information collection and analysis, information system intelligent portrait and state early warning, management of auxiliary data center resource, etc. Using this system, it can be made the information system state diagnosis and intelligent operation and maintenance become simple, safe and efficient.