应用灾害数字孪生体的应急预案演练系统*

doi:10.16265/j.cnki.issn 1003-3033.2021.07.013

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (7): 90-96.doi: 10.16265/j.cnki.issn 1003-3033.2021.07.013

应用灾害数字孪生体的应急预案演练系统^*

陈超¹ 副教授, 闫艳²

1 华北科技学院计算机学院,河北廊坊 065201;
2 华北科技学院艺术系,河北廊坊 065201

收稿日期:2021-04-20 修回日期:2021-06-16 出版日期:2021-07-28 发布日期:2022-01-28
作者简介:陈超 (1977—),男,福建仙游人,硕士,副教授,主要从事应急数字孪生系统和应急信息化等方面的研究。E-mail: chaochen@ncist.edu.cn。
基金资助:
国家重点研发计划重点专项项目(2018YFC0808306)。

Emergency plan drilling system based on disaster digital twin

CHEN Chao¹, YAN Yan²

1 School of Computer Science and Technology, North China Institute of Science and Technology, Langfang Hebei 065201, China;
2 Department of Art, North China Institute of Science and Technology, Langfang Hebei 065201, China

Received:2021-04-20 Revised:2021-06-16 Online:2021-07-28 Published:2022-01-28

摘要/Abstract

摘要： 为提升应急预案演练培训效果,利用数字孪生技术和增强现实技术,研究灾害数字孪生体的构建方法,开发一种新的应急预案演练系统。该系统通过统一数据接口持续汇集天基、空基、地基遥感遥测数据和传感器采集数据,构建现场几何表达与物理特征的灾害数字孪生体,应用光子网络引擎创建协同演练网络会议,通过增强现实设备在现实空间中叠加展现灾害数字孪生体,利用姿态识别机制和网页即时通信协议,实现增强现实空间中的位置移动、三维标注、语音交流等功能。研究结果表明:该系统通过应用灾害数字孪生体,可实现灾害态势的直观、全面展现,从而提高演练培训效果。

关键词: 灾害数字孪生体, 应急预案演练系统, 增强现实, 光子网络引擎, 网页即时通信协议

Abstract: In order to improve drilling effect of emergency plans, digital twin technology and augmented reality technology were applied to study establishment method of disasters digital twin, and a new emergency plan drilling system was developed. Through unified data interface, space-based, sky-based, and ground-based remote sensing data and IoT data were continuously collected to construct the disaster digital twin, including geometric expression and physical characteristics. Furthermore, cooperative drilling network conference was created by using photon unity networking engine, disaster digital twin was superimposed in the real space with augmented reality devices, and functions like roam, 3D annotation and voice communication were realized by using gesture recognition mechanism and web real-time communications protocol. The results show that the system can visually and comprehensively reveal disaster situation through utilizing disaster digital twin, thus improving drilling effect of digital emergency plans.

Key words: disaster digital twin, emergency plan drilling system, augmented reality, photon networking engine, web real-time communication agreement

中图分类号:

X924.3

陈超, 闫艳. 应用灾害数字孪生体的应急预案演练系统^*[J]. 中国安全科学学报, 2021, 31(7): 90-96.

CHEN Chao, YAN Yan. Emergency plan drilling system based on disaster digital twin[J]. China Safety Science Journal, 2021, 31(7): 90-96.

参考文献

[1] 邹逸江, 孔家辉, 斯港杰. 综合应急救援能力描述理论架构及提升内容研究[J]. 灾害学, 2021,36(2): 145-150.
ZOU Yijiang, KONG Jiahui, SI Gangjie. Research on theoretical framework and improvement content of capability description in comprehensive emergency rescue [J]. Journal of Catastrophology, 2021,36(2): 145-150.
[2] 杨思全. 灾害遥感监测业务建设与服务[J]. 卫星应用, 2018(8): 36-44.
[3] 赵俊三, 柯尊杰, 陈国平, 等. 基于多源空间数据的地质灾害监测预警系统研究:以云南省德钦县为例[J]. 地理信息世界, 2017,24(3): 35-41.
ZHAO Junsan, KE Zunjie, CHEN Guoping, et al. Implementation of the geological hazard monitoring and early warning system based on multi-source spatial data:a case study of Deqin county,Yunnan province [J]. Geomatics World, 2017,24(3): 35-41.
[4] 姜传胜, 邓云峰, 贾海江, 等. 突发事件应急演练的理论思辨与实践探索[J]. 中国安全科学学报, 2011,21(6):153-159.
JIANG Chuansheng, DENG Yunfeng, JIA Haijiang, et al. Theoretical thoughts on and practical exploration of emergency exercise [J]. China Safety Science Journal, 2011,21(6):153-159.
[5] 李季, 宋富美, 柏松. 危险化学品库区应急处置流程与机制研究[J]. 中国安全科学学报, 2020,30(10): 164-170.
LI Ji, SONG Fumei, BAI Song. Study on emergency disposal process and mechanism for hazardous chemicals storage areas [J]. China Safety Science Journal, 2020,30(10): 164-170.
[6] 李强. 多模式遥感数据地震应急关键技术研究[D]. 哈尔滨:中国地震局工程力学研究所, 2018.
LI Qiang. Study on key technology of earthquake emergency using multi-mode remote sensing data [D].Harbin:Chinese Doctoral Dissertations Full-text Database, 2018.
[7] 任丽艳, 李英成, 肖金城, 等. 测绘无人机灾害现场多源数据集成与智能服务[J]. 测绘科学, 2020,45(12): 139-144.
REN Liyan, LI Yingcheng, XIAO Jincheng, et al. Multi-source data integration and intelligent service of surveying and mapping UAV for disaster scene [J]. Science of Surveying and Mapping, 2020,45(12): 139-144.
[8] 张翔. 面向干旱监测应用的星地多传感器协同方法研究[D]. 武汉:武汉大学, 2017.
ZHANG Xiang. The study on drought monitoring oriented collaborative method based on multiple satellites and in-situ sensors [D].Wuhan:Chinese Doctoral Dissertations Full-text Database, 2017.
[9] GRIEVES M. Product lifecycle management: the new paradigm for enterprises [J]. International Journal of Product Development, 2005,2(1/2): 71-84.
[10] 陶飞, 马昕, 胡天亮, 等. 数字孪生标准体系[J]. 计算机集成制造系统, 2019,25(10): 2 405-2 418.
TAO Fei, MA Xin, HU Tianliang, et al. Research on digital twin standard system [J]. Computer Integrated Manufacturing Systems, 2019,25(10): 2 405-2 418.
[11] 魏一雄, 郭磊, 陈亮希, 等. 基于实时数据驱动的数字孪生车间研究及实现[J]. 计算机集成制造系统, 2021,27(2): 352-363.
WEI Yixiong, GUO Lei, CHEN Liangxi, et al. Research and implementation of digital twin workshop based on real-time data driven [J]. Computer Integrated Manufacturing Systems, 2021,27(2): 352-363.
[12] 孟松鹤, 叶雨玫, 杨强, 等. 数字孪生及其在航空航天中的应用[J]. 航空学报, 2020,41(9): 6-17.
MENG Songhe, YE Yumei, YANG Qiang, et al. Digital twin and its aerospace applications [J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(9): 6-17.
[13] 谢嘉成, 王学文, 杨兆建. 基于数字孪生的综采工作面生产系统设计与运行模式[J]. 计算机集成制造系统, 2019,25(6): 1 381-1 391.
XIE Jiacheng, WANG Xuewen, YANG Zhaojian. Design and operation mode of production system of fully mechanized coal mining face based on digital twin theory [J]. Computer Integrated Manufacturing Systems, 2019,25(6): 1 381-1 391.
[14] 朱庆, 朱军, 黄华平, 等. 实景三维空间信息平台与数字孪生川藏铁路[J]. 高速铁路技术, 2020,11(2): 46-53.
ZHU Qing, ZHU Jun, HUANG Huaping, et al. Real 3D spatial information platform and digital twin Sichuan-Tibet railway [J]. High Speed Railway Technology, 2020,11(2): 46-53.
[15] 雷霆, 孙骞, 王孟轩. 基于5G的智慧应急指挥平台[J]. 指挥与控制学报, 2020,6(4): 319-323.
LEI Ting, SUN Qian, WANG Mengxuan. The 5G-based smart emergency command platform [J]. Journal of Command and Control, 2020,6(4): 319-323.
[16] 龚建华, 李文航, 张国永, 等. 增强地理环境中过程可视化方法:以人群疏散模拟为例[J]. 测绘学报, 2018,47(8): 1 089-1 097.
GONG Jianhua, LI Wenhang, ZHANG Guoyong, et al. An augmented geographic environment for geo-process visualization:a case of crowd evacuation simulation [J]. Acta Geodaetica et Cartographica Sinica, 2018,47(8): 1 089-1 097.
[17] 喻钢, 史礼华. 基于MR与微服务的隧道应急模拟与推演系统[J]. 中国安全科学学报, 2020,30(1): 162-167.
YU Gang, SHI Lihua. Tunnel emergency simulation and deduction system based on MR and microservice [J]. China Safety Science Journal, 2020,30(1): 162-167.
[18] 袁庆曙, 王若楠, 潘志庚, 等. 空间增强现实中的人机交互技术综述[J]. 计算机辅助设计与图形学学报, 2021,33(3): 321-332.
YUAN Qingshu, WANG Ruonan, PAN Zhigeng, et al. A survey on human-computer interaction in spatial augmented reality [J]. Journal of Computer-Aided Design & Computer Graphics, 2021,33(3): 321-332.

应用灾害数字孪生体的应急预案演练系统^*

Emergency plan drilling system based on disaster digital twin

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	何静, 侯娜, 张昌凡, 胡新亮, 刘建华. 基于金字塔拆分注意力的列车轮对踏面损伤诊断[J]. 中国安全科学学报, 2022, 32(5): 35-40.
[2]	张萌, 韩豫, 刘泽锋. 深度学习下建筑工人高空安全防护装备检测方法[J]. 中国安全科学学报, 2022, 32(5): 140-146.
[3]	邹荣伟, 杨启亮, 邢建春, 李苏亮, 陈文杰, 孔琳琳. 基于动静态混合数据分析的误报警判定方法:面向建筑信息模型的运维平台^*[J]. 中国安全科学学报, 2021, 31(11): 163-170.
[4]	张巨峰, 施式亮, 鲁义, 游波, 吴芳华, 吴宽. 大数据下瓦斯与煤自燃共生灾害智能预警系统:数据特征、应用架构、关键技术^*[J]. 中国安全科学学报, 2021, 31(9): 60-66.
[5]	古莹奎, 刘平, 林忠海, 邱光琦. 基于Kurtogram与DSCN的滚动轴承故障诊断方法[J]. 中国安全科学学报, 2021, 31(6): 99-105.
[6]	武诣霖 , 陈晓明, 周锋, 金伟峰, 俞嫒妍, 王正佳. 多跨单层网壳施工平台分析与安全监测[J]. 中国安全科学学报, 2021, 31(4): 119-124.
[7]	李继超, 郭聖煜, 孔刘林, 原毅璨, 孙阳. 施工现场火焰检测和预警机器人设计及应用[J]. 中国安全科学学报, 2021, 31(4): 141-146.
[8]	张伟, 廖阳新, 蒋灵, 赵挺生. 基于物联网的塔式起重机安全监控系统[J]. 中国安全科学学报, 2021, 31(2): 55-62.
[9]	龙时丹. 面向高速铁路的全自动运行系统应用[J]. 中国安全科学学报, 2020, 30(S1): 92-97.
[10]	张天白, 杨国光, 李俊. 个人快速公交系统安全架构及运行模式分析[J]. 中国安全科学学报, 2020, 30(S1): 115-120.
[11]	贾宝峰, 阎美好. 铁路快运货物安全预警系统研究[J]. 中国安全科学学报, 2020, 30(S1): 121-127.
[12]	李婷婷, 陆铖. 基于安全防护的铁路行业统计调查系统[J]. 中国安全科学学报, 2020, 30(S1): 133-138.
[13]	左自波, 潘曦, 黄玉林, 汪小林, 张龙龙. 超高层ICCP安全监测与控制的预警指标研究[J]. 中国安全科学学报, 2020, 30(1): 53-60.
[14]	喻钢, 史礼华. 基于MR与微服务的隧道应急模拟与推演系统[J]. 中国安全科学学报, 2020, 30(1): 162-167.
[15]	陈雪倩, 步兵. 基于网络流量和数据包的CBTC入侵检测系统^*[J]. 中国安全科学学报, 2019, 29(S2): 154-160.