地铁运营设备种类繁多，其中机电设备在设备管理中占据重要的地位。而物联网技术的发展实现了多领域、多模块、多方向的信息互联共享，面对各个维度数据交融建立合理的分析管理平台是今后智慧城市智慧地铁的发展趋势。基于郑州地铁运营的设备管理体系，拓展全景信息支撑平台、状态监视、在线预警、智能诊断、状态评价、风险预测、检修决策以及绩效评估等方向。搭建地铁机电设备的大数据管理系统框架，通过现有的数据构成利用机器学习算法有效地进行数据挖掘。同时针对全生命周期成本分析、运维检修决策、风险量化评估3个方向进行算法模型分析，从而获取地铁机电设备的相关潜在规律，为决策层提供更多有价值的信息。 关键词: 物联网；大数据；地铁；全寿命周期；管理系统

There are many kinds of metro operation equipment, among which electromechanical equipment occupies an important position in equipment management. With the development of Internet-of-things technology, multidomain, multimo?dule, multidirectional information interconnection and sharing are realized. Facing the data fusion of various dimensions, establishing a reasonable analysis and management platform is the future development trend of smart city metros. Based on the equipment management system of Zhengzhou Metro operation, this study expands the direction of panoramic information support platforms, status monitoring, online early warning, intelligent diagnosis, status evaluation, risk prediction, mainte?nance decisions, and performance evaluation. A framework of a large data management system for metro electromechanical equipment was built, and a machine-learning algorithm was used for effective data mining through the existing data structure. At the same time, the algorithm model was analyzed in three directions — life cycle cost analysis, operation and maintenance decision making, and risk quantification evaluation — to obtain a potential law for metro electromechanical equipment and provide more valuable information for decision makers.

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