基于E-LVC技术的重大综合灾害耦合情景推演方法

邓青; 施成浩; 王辰阳; 陈彬; 高扬; 张辉

doi:10.16511/j.cnki.qhdxxb.2021.22.002

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清华大学学报（自然科学版） ›› 2021, Vol. 61 ›› Issue (6) : 487-493. DOI: 10.16511/j.cnki.qhdxxb.2021.22.002

防灾减灾

基于E-LVC技术的重大综合灾害耦合情景推演方法

邓青¹, 施成浩², 王辰阳¹, 陈彬³, 高扬^1,4, 张辉¹

作者信息 +

Coupled disaster scenario evaluation and response method based on the E-LVC technology

DENG Qing¹, SHI Chenghao², WANG Chenyang¹, CHEN Bin³, GAO Yang^1,4, ZHANG Hui¹

Author information +

文章历史 +

摘要

面向大规模耦合灾害，提出了一种基于增强的真实操作、虚拟模拟、构造模拟（E-LVC）技术的重大综合灾害耦合情景推演方法，并研发了基于E-LVC的灾害救援机器人、大型实验装置、仿真和数据系统的动态交互技术。在耦合灾害场景下，救援机器人进入灾害现场，实时高效探索灾情现场环境并获取前线现场数据，基于E-LVC的动态交互技术实时地将灾情信息回传至控制台，构建环境地图和灾情现场情景，并显示在虚实结合的决策支持平台上，为“人在回路”的重大灾害情景推演和应急演练奠定基础。假定灾害耦合场景为北京发生大地震导致火灾并耦合风场作用，以人员疏散和城市大规模交通疏散为应急演练内容进行了案例研究，验证了所提出的情景推演方法的辅助决策能力。

Abstract

An E-LVC (enhanced, live, virtual simulation, constructive simulation) technology based coupled disaster scenario evaluation and response method is developed to improve responses to large coupled disasters. The method maps the complex disaster environments using bionic navigation and positioning systems with the dynamic interactions of E-LVC based disaster rescue robots and data from large experiments and simulations. In a coupled disaster scenario, rescue robots can enter disaster sites to explore the site environments and report front-line field data which can be used to map the disaster site conditions as a foundation for emergency disaster response. The system is used with a case study of a hypothetical major earthquake scenario in Beijing that creats many fires driven by high winds to evaluate emergency evacuation responses including personnel evacuation and large-scale traffic evacuation to verify the ability of this system to support emergency response decision-making.

导出引用

邓青, 施成浩, 王辰阳, 陈彬, 高扬, 张辉. 基于E-LVC技术的重大综合灾害耦合情景推演方法[J]. 清华大学学报（自然科学版）. 2021, 61(6): 487-493 https://doi.org/10.16511/j.cnki.qhdxxb.2021.22.002

DENG Qing, SHI Chenghao, WANG Chenyang, CHEN Bin, GAO Yang, ZHANG Hui. Coupled disaster scenario evaluation and response method based on the E-LVC technology[J]. Journal of Tsinghua University(Science and Technology). 2021, 61(6): 487-493 https://doi.org/10.16511/j.cnki.qhdxxb.2021.22.002

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基金

国家重点研发计划（2017YFC0803300）；国家自然科学基金项目（7204100828，91646201，U1633203，72004113）；北京高校高精尖学科（安全科学与工程）建设项目

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收稿日期	出版日期
2020-11-06	2021-06-15
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2021-04-28

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