基于物联网大模型的城市地下空间应急预警系统和方法

CN122046034BActive Publication Date: 2026-07-17CHENGDU QINCHUAN IOT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU QINCHUAN IOT TECH CO LTD
Filing Date
2026-04-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In urban underground spaces such as subway stations and underground shopping streets, where there are dynamic changes in water accumulation and population distribution, existing technologies are unable to provide accurate and targeted emergency early warning plans for personnel evacuation and drainage, resulting in low emergency response efficiency and insufficient safety.

Method used

An emergency early warning system for urban underground spaces based on an Internet of Things (IoT) big data model is adopted. Through an emergency monitoring and management platform, combined with sensor equipment, water levels and passenger density are monitored to determine control time intervals. At critical moments, the status of gates and the power of drainage equipment are adjusted to achieve precise evacuation and drainage.

Benefits of technology

It improves the efficiency and accuracy of emergency response, ensures passenger safety, reduces the risk of flooding, and enhances the accuracy and reliability of evacuation routes.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供一种基于物联网大模型的城市地下空间应急预警系统和方法,涉及城市公共安全与应急管理技术领域。该系统包括应急监管管理平台,应急监管管理平台执行该方法,该方法包括根据当前排水设备的工作参数计算其最大排水流量;通过水位计量设备监测第一水位高度和第一水位变化;利用传感设备获取地下空间内各子区域的乘客密度和乘客流动信息;基于第一水位变化和最大排水流量,预测地下空间内各子区域的积水概率;若子区域的积水概率超过概率阈值,则根据乘客密度和乘客流动信息确定控制时间间隔,在控制时间点将入口闸门转为禁入状态,并控制当前排水设备以最大功率排水。本发明能够提升应急疏散效率与安全性。
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Citation Information

Patent Citations

  • Flood disaster early warning system and method for subway station hall and tunnel

    CN113623002A

  • Smart city waterlogging risk prediction method, Internet of Things system, device and medium

    CN115545324A