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地下空间数智化复合风险防控体系框架研究

Exploring the Construction of a Composite Risk Prevention and Control System Framework for Underground Space Digitalization
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摘要 地下空间火灾、水灾、设备故障、环境污染和道路灾害等事故发生突然、演变迅速、逃生难度大、抢险救援困难,风险防范任务艰巨,因此,运用数智化手段开展地下空间复合风险防控具有重要意义。针对地下空间多灾种综合风险,以数字孪生技术体系为框架,采用智能视频监控、中间件技术、云边端计算与存储、智能仿真推演等多元技术协同,构建实时精准全面的态势感知、突发事故早期预警、多方协同联动响应和可视化应急指挥的数智化复合风险防控体系,实现由“末端救灾”向“前端防灾”转变、由“单灾防治”向“复灾防控”转变,全面提升风险综合防控一体化体系的数智化水平,为地下空间灾害事故的突发应急处置提供有力支撑。 Accidents such as underground space fires,floods,equipment failures,and environmental pollution occur suddenly and rapidly,making evacuation and rescue difficult.The task of risk prevention is arduous.Therefore,it is of great significance to use digital means to carry out comprehensive risk prevention and control in underground spaces.Regarding the comprehensive risks of multiple disasters in underground spaces,this article takes the digital twin technology system as the framework,adopts multiple technologies such as intelligent video monitoring,cloud edge computing and storage,intelligent simulation and deduction,and collaborates to build a real-time,accurate and comprehensive situation awareness,early warning of sudden accidents,multi-party collaborative response,and visual emergency guidance digital composite risk prevention and control system.It realizes the transformation from"end of the line disaster relief"to"front-end disaster prevention and control"and from"single disaster prevention and control"to"disaster recovery and control",comprehensively improving the digital level of the integrated system of composite risk prevention and control,and providing strong support for the emergency response of sudden disasters and accidents in underground spaces.
作者 倪贺伟 张统 马文 王守中 Ni Hewei;Zhang Tong;Ma Wen;Wang Shouzhong(Beijing Special Engineering Design and Research Institute,Beijing 100028,P.R.China)
出处 《地下空间与工程学报》 北大核心 2025年第5期1825-1836,1850,共13页 Chinese Journal of Underground Space and Engineering
关键词 地下空间 风险防控 数智化 智能管理 数字孪生 underground space risk prevention and control digitalization intelligent management digital twin
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