Along with solving the problems that include alleviating the urban traffic jam, strengthening the construction of urban infrastructure, and saving the land resources, subway project is undergoing a rapid development era. The urban subway is mainly constructed and operated in the underground. Due to the complexity of geological environment, the failure of artificial and mechanical operation, and the limitation of technology, from the decision-making stage to the implementation stage, then to the operation stage, the subway’s external environment is in frequent change, and the relationship between the internal factors is also complex. Urban subway also exists risks of collapse, fires and so on, during construction and operation. And if the risks occur, they will cause serious economic losses and casualties. How to manage and control the subway security continuously, efficiently and in real-time during construction and operation, which has become a key issue that subway can construct safely and reduce risks.The subway security monitoring is an important part of the informationization construction and operation. It can ensure the safety, high efficiency and convenience during the construction and operation. In order to realize the real-time monitoring, remote visualization, and improve the efficiency of data acquisition, transmission, processing during the safety risk monitoring. Firstly, this paper is based on the Internet of Things and builds the subway security monitoring system. Through the technology of information awareness, transmission, processing and security, the system realize real-time online and intelligent management for underground environment. It provides functions including secure and controllable real-time monitoring, positioning trace, alarm linkage, dispatching command, plan management, remote control, file management, data automatic analysis and processing, intelligent statistics, and so on. Secondly, the system can be simulated and applied for monitoring of Xi’an Road station, which is subway transfer station in Dalian prosperous business district. Through the real-time monitoring of subway station equipment and environment, management, control and operation realize high efficiency, safety, energy saving, environmental protection and integration.Then, in the various modules of the monitoring system, this paper mainly targets the early warning module for evaluation analysis, and adopts fuzzy comprehensive evaluation based on entropy weight to build a subway security early warning model. The model automatically evaluates data information, and adopts entropy weight to decide weight. Combining fuzzy comprehensive evaluation method, it obtains objectively the comprehensive effect on factors, and provides four security levels according to the evaluation results. It avoids accidents by using early warning and taking effective actions in advance. Finally, it also analyzes ten groups of monitoring data of a certain tender of the Dalian subway first phase construction and obtains different collapse factors’weights and security levels. By comparing with the actual situation, it reaches the conclusion that this model has a high reliability, can give effective early warning for subway risks, and guides project security management. |