地铁防淹物联网系统及控制技术研究OA

With the rapid development of urban rail transit in China,metro flood prevention has become increasingly critical due to frequent extreme weather events.This study proposes an IoT-based intelligent metro flood prevention system and control technology to enhance flood resilience and urban safety.The system employs multimodal sensors,including ultrasonic,fiber Bragg grating,and infrared imaging,to achieve real-time monitoring of water levels and equipment status.Integrated with edge computing and LSTM models,it predicts water level trends and automatically triggers floodgate operations for emergency response.A modular architecture comprising sensing,network,platform,and application layers is designed,alongside complex environment sensing technologies and floodgate control strategies.By incorporating meteorological data,the system enables dynamic early warning.Results demonstrate that this system significantly improves flood prevention efficiency,reduces inundation risks,and provides robust technical support for the safe operation of urban rail transit.