摘要
为提高沿海城市轨道交通防台防汛应急响应的效率和处置能力,设计地铁防台防汛数字化系统,构建了概览、资源储备、水文气象、人员值守、人员疏散、抢险救灾等6个场景驾驶舱,在应急响应的全流程发挥预警研判、智能决策和应急协同作用。通过地理信息系统(GIS,Geographic Information System)、BIM(Building Information Modeling)、数字孪生、人工智能、深度学习等关键技术,融合全区域全要素时空数据,建设数字孪生底座,打破数据壁垒。引入应急数据分析和预测分析算法引擎,使分析研判有据可依。在宁波轨道交通部分站点试点应用表明,该系统有助于提升应急响应速度和协同实战能力。
In order to improve the efficiency and disposal capacity of emergency response for typhoon and flood prevention in coastal urban rail transit,this paper designed a digital system for subway typhoon and flood prevention,and constructed six scenario control cabins including overview,resource reserves,hydrology and meteorology,personnel on duty,personnel evacuation,and emergency response.These control cabins played a role in early warning,intelligent decision-making,and emergency coordination throughout the entire emergency response process.The paper utilized key technologies such as Geographic Information System(GIS),Building Information Modeling(BIM),digital twins,artificial intelligence,and deep learning to integrate spatiotemporal data from all regions and elements,built a digital twin foundation,and broke down data barriers.The paper also introduced an emergency data analysis and predictive analysis algorithm engine to provide evidence for analysis and judgment.The pilot application at some stations of Ningbo Rail Transit has shown that the system helps to improve emergency response speed and collaborative practical capabilities.
作者
管剑波
唐华栋
姚宸
李偲偲
GUAN Jianbo;TANG Huadong;YAO Chen;LI Sisi(Digital Operation Division,Ningbo Rail Transit Group Co.Ltd.,Ningbo 315100,China)
出处
《铁路计算机应用》
2024年第4期76-80,共5页
Railway Computer Application
基金
宁波市重点研发计划暨“揭榜挂帅”项目(2022Z231)
中国城市轨道交通协会科研专项(CAMET-KY-202206)。
关键词
应急保障
防台防汛
应急协同
地铁安全
数字孪生
emergency support
typhoon and flood prevention
emergency coordination
subway safety
digital twinning
作者简介
管剑波,高级工程师;唐华栋,高级工程师。
