铁路局信息系统状态诊断与辅助管理决策系统的研究

概述铁路局集团有限公司（简称:铁路局）信息系统状态诊断与辅助管理决策系统的研究背景和待解决的问题，确定系统的总体架构、数据流程及信息系统运行环境和状态日志。结合Hadoop、Kafka大数据技术，基于Ripple、STL等人工智能算法，实现海量日志信息采集与分析、信息系统智能画像与状态预警、辅助数据中心资源管理等功能。运用本系统，可以使信息系统状态诊断和智能化运维等工作变得简单、安全与高效。

State diagnosis and assistant management decision system of railway administration information system

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.