Information transmission analysis of forest fire emergency command based on information entropy

doi:10.16265/j.cnki.issn1003-3033.2023.01.2359

Abstract

Abstract:

In order to improve the coordination ability of forest fire emergency command and analyze the logical influence between elements of the command process, the article first clarified the chain of proximate causes of accidents, identified the relevant control components, and built a forest fire emergency command and control structure based on STAMP model. According to the complex network theory, this article established a powerless network for forest fire emergency command information flow and a model to determine the information quantity of real-time, phase and fixed information, by which information entropy was determined. A side-load weight calculation model was established for describing the importance of different information delivery paths. The results show that the front headquarters is the most important in the firefighting process of emergency command, and the information transmission between the front headquarters and the joint headquarters is the most intensive. The information total quantity and information entropies between fire extinguishing group and professional fire extinguishing team are maximum, which are 24 and 3.900 respectively. Accuracy of personnel deployment must be ensured in command. Expert judgment and meteorological information will affect the command decision-making of fire extinguishing process to a certain extent. The information transmission path of expert judgment and meteorological monitoring should be monitored to ensure the smooth transmission.

Key words: information entropy, forest fires, emergency command, information transfer, systems-theoretic accident model and process (STAMP)

LI Hua, GUO Haojie, XIE Hui, LIN Peng. Information transmission analysis of forest fire emergency command based on information entropy[J]. China Safety Science Journal, 2023, 33(1): 80-87.

Figures/Tables 6

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References 19

[1]	李海萍, 龙志航, 杨滋恒, 等. 基于Logistic模型的四川凉山州森林火灾风险分析[J]. 安全与环境学报, 2021, 21(2):498-505.
	LI Haiping, LONG Zhihang, YANG Ziheng, et al. Analysis of forest fire risk in Sichuan Liangshan based on Logistic model[J]. Journal of Safety and Environment, 2021, 21(2):498-505.
[2]	薛澜. 推进国家应急管理体系和能力现代化[J]. 中国应急管理科学, 2020(2):7-9.
	XUE Lan. Promoting the modernization of national emergency management system and capacity[J]. Journal of China Emergency Management Science, 2020(2):7-9.
[3]	高玉坤, 邓萌, 秦挺鑫, 等. 高校实验室风险信息分类及采集传输系统研究[J]. 中国安全生产科学技术, 2021, 17(12):188-194.
	GAO Yukun, DENG Meng, QIN Tingxin, et al. Research on risk information classification and acquisition and transmission system of laboratories in colleges and universities[J]. Journal of Safety Science and Technology, 2021, 17(12):188-194.
[4]	王炜, 杜鑫, 邵冠武, 等. 灾害应急网络系统中的风险信息传递与沟通[J]. 中国安全科学学报, 2010, 20(9):152-157.
	WANG Wei, DU Xin, SHAO Guanwu, et al. Transmission and communication of risk information in disaster emergency network system[J]. China Safety Science Journal, 2010, 20(9):152-157.
[5]	郑万波, 吴燕清, 李先明, 等. 基于应急管理机制的矿山应急救援指挥信息传递模型探讨[J]. 中国安全生产科学技术, 2014, 10(增1):293-299.
	ZHENG Wanbo, WU Yanqing, LI Xianming, et al. Discussion on information transmission model of mine emergency rescue command based on emergency management mechanism[J]. Journal of Safety Science and Technology, 2014, 10(S1):293-299.
[6]	NOVKOVIC I, MARKOVIC G B, LUKIC D, et al. GIS Based forest fire susceptibility zonation with IoT sensor network support, case study—nature park Golija, Serbia[J]. Sensors, 2021: DOI: 10.3390/s21196520. doi: 10.3390/s21196520
[7]	第十届全国人民代表大会常务委员会第二十九次会议. 中华人民共和国突发事件应对法[L]. 2007-11-01.
[8]	GB/T37228—2018,公共安全应急管理突发事件响应要求[S].
	GB/T37228-2018,Societal security-emergency management-requirements for incident response[S].
[9]	陕西省应急管理厅. 陕西省人民政府关于印发突发事件总体应急预案的通知[EB/OL]. (2021-07-26). http://yjt.shaanxi.gov.cn/c/2021-07-26/743701.shtml.
[10]	LEVESON N. Engineering a safer world: systems thinking applied to safety[M]. Cambridge: The MIT Press, 2011:1-23.
[11]	CRAIG K A, KIRSTEN M R, ROD S, et al. Systems theoretic accident model and process (STAMP) safety modelling applied to an aircraft rapid decompression event[J]. Safety Science, 2017, 98:159-166. doi: 10.1016/j.ssci.2017.06.011
[12]	王瑛, 孙贇, 李超, 等. 基于STAMP模型的军机飞行训练安全性分析[J]. 中国安全科学学报, 2018, 28(9):68-73. doi: 10.16265/j.cnki.issn1003-3033.2018.09.012
	WANG Ying, SUN Yun, LI Chao, et al. Analysis of military aircraft flight training safety based on STAMP model[J]. China Safety Science Journal, 2018, 28(9):68-73. doi: 10.16265/j.cnki.issn1003-3033.2018.09.012
[13]	OSIRIS A V B, FLORIS G. A STAMP-based approach for designing maritime safety management systems[J]. Safety Science, 2018, 109:109-129. doi: 10.1016/j.ssci.2018.05.003
[14]	蔡晓禹, 雷财林, 彭博, 等. 基于驾驶行为和信息熵的道路交通安全风险预估[J]. 中国公路学报, 2020, 33(6):190-201. doi: 10.19721/j.cnki.1001-7372.2020.06.018
	CAI Xiaoyu, LEI Cailin, PENG Bo, et al. Road traffic safety risk estimation based on driving behavior and information entropy[J]. China Journal of Highway and Transport, 2020, 33(6):190-201. doi: 10.19721/j.cnki.1001-7372.2020.06.018
[15]	四川省应急管理厅. 凉山州西昌市“3·30”森林火灾事件调查报告[EB/OL]. (2020-12-21) https://yjt.sc.gov.cn/scyjt/gongshigonggao/2020/12/21/93beb952199a4093ab917ae4cf5990e9.shtml.
[16]	唐攀, 周坚. 非常规突发事件应急响应组织结构及运行模式[J]. 北京理工大学学报:社会科学版, 2013, 15(2):82-89.
	TANG Pan, ZHOU Jian. Research on emergency response organizing structure and its operational model for unconventional emergencies[J]. Journal of Beijing Institute of Technology:Social Science Edition, 2013, 15(2):82-89.
[17]	郑琛, 佘廉. 我国突发事件现场应急指挥组织体系构建探析[J]. 华南理工大学学报:社会科学版, 2016, 18(1):40-45.
	ZHENG Chen, SHE Lian. Study on emergency command organization system under emergencies in China[J]. Journal of South China University of Technology:Social Science Edition, 2016, 18(1):40-45.
[18]	张雪娇. 我国突发公共卫生事件信息传递制度的问题识别和完善路径[J/OL]. 重庆大学学报:社会科学版, http://kns.cnki.net/kcms/detail/50.1023.c.20210331.1040.002.html. 2021-04-01):1-17.
	ZHANG Xuejiao. Information transmission legal system of public health emergencies in China: problems and solutions[J/OL]. Journal of Chongqing University:Social Science Edition, http://kns.cnki.net/kcms/detail/50.1023.c.20210331.1040.002.html. 2021-04-01):1-17.
[19]	郭世泽, 陆哲明. 复杂网络理论基础[M]. 北京: 科学出版社, 2012:5-78.

编号	节点名称	编号	节点名称
1	宁南县林草局	12	省委省政府工作组
2	宁南县森林草原防火专业扑火队	13	应急管理部工作组
3	经久乡森林草原防灭火指挥部值班室	14	省-州-市联合指挥部
4	凉山州森林草原防灭火指挥部值班室	15	西昌市泸山国有林场
5	西昌市森林草原防灭火指挥部值班室	16	西昌市林草局
6	西昌市前线指挥部	17	扑火组
7	凉山州-西昌市联合指挥部	18	会商组
8	森林消防	19	气象部门
9	消防救援	20	技术专家
10	地方专业扑火队	21	西昌市委、市政府
11	应急民兵	22	凉山州委、州政府

边	x_ij	H(α_ij)	边	x_ij	H(α_ij)
1-2	3	0.831	6-21	24	3.800
1-7	3	0.602	7-14	24	3.787
2-10	24	3.900	7-22	24	3.801
2-15	16	0.611	8-17	13	1.450
3-5	15	0.603	9-17	13	1.450
3-16	19	1.446	10-17	13	1.450
4-5	15	0.638	11-17	10	1.450
4-6	15	0.638	12-14	5	0.850
6-7	24	3.786	13-14	5	0.686
6-12	17	1.471	15-16	15	0.752
6-13	8	1.431	18-19	15	1.436
6-17	24	3.672	18-20	12	1.523
6-18	21	1.444	—	—	—

边	权重	边	权重
1-2	1.203	6-21	0.263
1-7	1.661	7-14	0.264
2-10	0.256	7-22	0.263
2-15	1.637	8-17	0.690
3-5	1.658	9-17	0.690
3-16	0.692	10-17	0.690
4-5	1.567	11-17	0.690
4-6	1.567	12-14	1.176
6-7	0.264	13-14	1.458
6-12	0.680	15-16	1.330
6-13	0.699	18-19	0.696
6-17	0.272	18-20	0.657
6-18	0.693	—	—