Page 128 - 《武汉大学学报(信息科学版)》2025年第6期
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第 50 卷 第 6 期                     武 汉 大 学 学 报( 信 息 科 学 版 )                          Vol.50  No.6
                2025 年 6 月                Geomatics and Information Science of Wuhan University       Jun. 2025


                       引文格式:王英剑,胡燕祝,张明作,等 . 面向城市地下空间应急救援的灾情信息感知与通信技术及装备[J]. 武汉大学学报(信
                       息科学版),2025,50(6):1150-1158.DOI:10.13203/j.whugis20240489
                       Citation:WANG Yingjian,HU Yanzhu,ZHANG Mingzuo,et al.Disaster Information Perception and Communication Technolo‑
                       gy and Equipment for Emergency Rescue in Urban Underground Space[J].Geomatics and Information Science of Wuhan Universi‑
                       ty,2025,50(6):1150-1158.DOI:10.13203/j.whugis20240489

                     面向城市地下空间应急救援的灾情信息感知与

                                                通信技术及装备



                           王英剑   胡燕祝   张明作   刘坤辉   赵兴昊   梁子涵                                     1
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                                            1  北京邮电大学智能工程与自动化学院,北京,100876
                                              2  北京市燃气集团有限责任公司,北京,100032
                摘  要:地震等自然灾害下的城市地下空间应急现场面临“盲、狭、乱、危”,现场灾情信息获取困难和应急通信受阻,严重
                影响救援效率。为解决这一难题,提出了面向城市地下空间应急救援现场的灾情信息感知与通信技术及装备,主要包含
                3 个方面:一是多态灾情信息感知与无人自主作业技术与装备,实现对灾害现场温湿度、毒害气体、三维地物环境及人员
                位姿的精准感知;二是多网协同应急通信网络系统与装备,保障复杂环境下多源灾情信息的高速传输;三是智能服务平
                台系统,提供灾害现场的智能化理解与辅助决策支持。通过地铁隧道、地下停车场、地下商场等多场景的实战化验证,为
                城市地下空间应急救援提供了有效支撑,具有重要意义。
                关键词:城市地下空间;应急救援;灾情感知;应急通信;无人装备
                中图分类号:P237          文献标识码:A                             收稿日期:2024‑12‑25
                DOI:10.13203/j.whugis20240489                           文章编号:1671‑8860(2025)06‑1150‑09
                    Disaster Information Perception and Communication Technology and

                        Equipment for Emergency Rescue in Urban Underground Space


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                             WANG  Yingjian    HU  Yanzhu    ZHANG  Mingzuo    LIU  Kunhui
                                                              1
                                               ZHAO  Xinghao    LIANG  Zihan  1
                   1  School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
                                             2  Beijing Gas Group Co. Ltd, Beijing 100032, China
                Abstract:  Objectives:  Urban  underground  spaces  are  critical  components  of  modern  urban  infrastructure
                but they are highly vulnerable during natural disasters due to the blind, narrow, chaotic, and dangerous con‑
                ditions. These characteristics cause significant challenges to emergency rescue operations, including difficul‑
                ties in acquiring accurate disaster information and maintaining reliable communication. This study aims to
                develop  an  integrated  framework  for  disaster  information  perception  and  communication  technology  and
                equipment, specifically tailored for emergency rescue in urban underground spaces, to enhance rescue effi‑
                ciency and effectiveness. Methods: The proposed framework is guided by the principles of intelligent, light‑
                weight, standardized, and systematic and comprises three core components. The first component is multi-
                state disaster information perception and autonomous operation technology. It includes 3D terrain mapping
                based on simultaneous localization and mapping (SLAM) to reconstruct disaster scenes, micro-assembled
                sensors  for  detecting  temperature,  humidity,  and  toxic  gases,  and  social  information  fusion  to  provide  a
                comprehensive understanding of the disaster situation. The second one is multi-network collaborative emer‑
                gency  communication  network  technology.  It  involves  point-to-point  communication  using  adaptive  fre‑


                基金项目:国家自然科学基金(52478123);国家重点研发计划(2020YFC1511700)。
                第一作者:王英剑,博士,研究方向为风险感知、预警及应急处置。wangyingjian@bupt.edu.cn
                通信作者:胡燕祝,博士,教授。yzhu@263.net
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