Storage safety evaluation of hazardous materials based on improved FAHP-Entropy method

doi:10.16265/j.cnki.issn1003-3033.2023.03.0801

Abstract

Abstract:

Aiming at the special properties of hazardous materials and the characteristics of storage safety management, in order to improve the risk identification ability and management level of hazardous materials storage safety, an evaluation method for hazardous materials storage safety based on improved FAHP-Entropy was proposed. Firstly, the evaluation index system was established from four aspects: personnel, management, materials and equipment, and environmental effect. Secondly, the improved FAHP method was used to determine the subjective weight of the indicators, and the Entropy method was used to determine the objective weight of the indicators. Based on the concept of distance function, the subjective weight and objective weight were integrated to obtain the comprehensive weight of each indicator. Thirdly, TRFN and fuzzy statistics were used to determine the fuzzy relation matrix. Finally, the fuzzy evaluation model was established and used to get the final evaluation result. This safety evaluation model has been used to evaluate the storage safety of hazardous materials in a hazardous materials logistics enterprise in Guangdong. The comprehensive evaluation results of the enterprise's storage safety of hazardous materials and the evaluation results of four first-level indicators, including personnel safety, management safety, material and equipment safety, and environmental safety, all belong to the "relatively safe" level. Among them, materials and equipment have the highest score. Based on the improved FAHP-Entropy model, the safety evaluation model can realize the identification of key risk factors in the safety management of the hazardous materials storage by comparing analyzing the index system and the evaluation results. This is helpful to improve the safety level of the enterprise's hazardous materials storage safety management.

Key words: fuzzy analytical hierarchy process (FAHP), Entropy, hazardous materials, storage, safety evaluation, triangular fuzzy number (TRFN)

LIU Guangqian, GU Xiaobo. Storage safety evaluation of hazardous materials based on improved FAHP-Entropy method[J]. China Safety Science Journal, 2023, 33(3): 147-152.

Figures/Tables 2

Fig.1

Tab.1

Wight of each index based on FAHP-Entropy method

指标	主观权重 $w' i$	客观权重 $w " i$	综合权重 $w i$
人员安全 $I 1$	0.158 2	0.161 5	0.159 7
安全意识 $I 11$	0.176 3	0.215 4	0.193 9
专业技术能力 $I 12$	0.312 0	0.341 4	0.325 2
安全准则与程序遵守 $I 13$	0.307 2	0.191 6	0.255 2
健康状况 $I 14$	0.204 5	0.251 6	0.225 7
管理安全 $I 2$	0.326 4	0.308 2	0.318 2
安全规章制度 $I 21$	0.326 2	0.296 5	0.312 8
安全教育培训 $I 22$	0.087 0	0.102 4	0.093 9
安全应急机制 $I 23$	0.204 7	0.236 0	0.218 8
安全监检机制 $I 24$	0.130 2	0.151 4	0.139 7
安全管理信息系统 $I 25$	0.251 9	0.213 7	0.234 8
物料与设备安全 $I 3$	0.301 5	0.312 2	0.306 3
危险品种类与属性 $I 31$	0.350 1	0.347 1	0.348 7
存储容量与分区 $I 32$	0.192 7	0.190 2	0.191 6
仓储方式与方法 $I 33$	0.112 5	0.120 2	0.116 0
作业设备设施 $I 34$	0.153 2	0.148 5	0.151 1
消防设备设施 $I 35$	0.191 5	0.194 0	0.192 6
环境安全 $I 4$	0.213 9	0.218 1	0.215 8
作业环境 $I 41$	0.201 2	0.225 0	0.211 9
储存环境 $I 42$	0.366 5	0.348 3	0.358 3
仓库污染治理 $I 43$	0.102 4	0.096 5	0.099 7
防爆空调设备应用 $I 44$	0.141 5	0.132 4	0.137 4
温湿度监控系统 $I 45$	0.124 6	0.117 2	0.121 3
选址及周边环境 $I 46$	0.063 8	0.080 6	0.071 4

Tab.1

References 18

[1]	王伟, 刘志云, 崔福庆, 等. 1981—2020年我国较大及以上危化品事故统计分析与对策研究[J]. 应用化工, 2021, 50(8):2187-2193.
	WANG Wei, LIU Zhiyun, CUI Fuqing, et al. Statistical analysis and countermeasures of large and above chemical accidents in China during 1981-2020[J]. Applied Chemical Industry, 2021, 50(8):2187-2193.
[2]	张冠湘, 邓思琪, 付余, 等. 风险控制视角下的危险品物流管理策略研究[J]. 软科学, 2017, 31(8):91-94.
	ZHANG Guanxiang, DENG Siqi, FU Yu, et al. Management strategy research of hazmat logistics under the perspective in risk control[J]. Soft Science, 2017, 31(8):91-94.
[3]	史先召, 马臣信, 周宁, 等. 危险化学品仓储安全管理现状及对策[J]. 工业安全与环保, 2017, 47(7):55-57.
	SHI Xianzhao, MA Chenxin, ZHOU Ning, et al. Present situation and countermeasures of safety management of dangerous chemicals storage[J]. Industrial Safety and Environmental Protection, 2017, 47(7):55-57.
[4]	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. doi: 10.16265/j.cnki.issn 1003-3033.2020.10.023
	LI Ji, SONG Fumei, BAI Song. Study on emergency disposal process and mechanism for hazardous chemicals storage area[J]. China Safety Science Journal, 2020, 30(10):164-170. doi: 10.16265/j.cnki.issn 1003-3033.2020.10.023
[5]	刘学君, 卢浩, 李京, 等. 基于分布式测温的危化品立库火灾定位系统[J]. 控制工程, 2020, 27(7):1175-1179.
	LIU Xuejun, LU Hao, LI Jing, et al. Study of fire location system for automatic stereoscopic warehouse of hazardous chemicals based on distributed temperature measuring[J]. Control Engineering of China, 2020, 27(7) :1175-1179.
[6]	戴波, 周泽彧, 张岩, 等. 危化品仓储堆垛安全距离监测系统设计[J]. 化工学报, 2019, 70(2) :707-715. doi: 10.11949/j.issn.0438-1157.20181407
	DAI Bo, ZHOU Zeyu, ZHANG Yan, et al. Design of safe distance monitoring system for hazardous chemicals storage stack[J]. CIESC Journal, 2019, 70(2):707-715. doi: 10.11949/j.issn.0438-1157.20181407
[7]	马奔. 邻避设施选址规划中的协商式治理与决策:从天津港危险品仓库爆炸事故谈起[J]. 南京社会科学, 2015(12):55-61.
	MA Ben. The deliberative governance and decision-making in NIMBY facility siting planning[J]. Nanjing Journal of Social Sciences, 2015(12):55-61.
[8]	许卫洪, 顾菊芬. 高规格危险品仓库安防系统设计研究[J]. 工业安全与环保, 2016, 42(1):73-75.
	XU Weihong, GU Jufen. Design and research of the security system for high-specification dangerous goods warehouse[J]. Industrial Safety and Environmental Protection, 2016, 42(1):73-75.
[9]	张蕊, 姚洪志, 惠蕾, 等. 危险品智能仓储及运输管理系统的电磁安全[J]. 包装工程, 2020, 41(1):173-179.
	ZHANG Rui, YAO Hongzhi, HUI Lei, et al. Electromagnetic safety of intelligent storage and transportation management system for dangerous goods[J]. Packaging Engineering, 2020, 41(1):173-179.
[10]	TYLDESLEY A, REW P J, HOULDING R C. Benefits of fire compartmentation in chemical warehouses[J]. Process Safety and Environmental Protection, 2004, 82(5):331-340. doi: 10.1205/psep.82.5.331.44195
[11]	宋文华, 杨志舟, 李小伟, 等. 可发性聚苯乙烯仓库消防安全评价研究[J]. 中国安全科学学报, 2007, 17(7):139-143.
	SONG Wenhua, YANG Zhizhou, LI Xiaowei, et al. Study on fire risk assessment of expandable polystyrene warehouse[J]. China Safety Science Journal, 2007, 17(7):139-143.
[12]	张博倩, 吕淑然, 马子超, 等. 基于ISM和AHP的危险品仓储风险影响因素研究[J]. 安全, 2018, 39(3):61-64.
	ZHANG Boqian, LYU Shuran, MA Zichao, et al. Research on influencing factors of dangerous goods storage risk based on ISM and AHP[J]. Safety & Security, 2018, 39(3):61-64.
[13]	ZHANG Cong. Analysis of fire safety system for storage enterprises of dangerous chemicals[J]. Procedia Engineering, 2018, 211:986-995. doi: 10.1016/j.proeng.2017.12.101
[14]	谢尊贤, 蔡二柱. 基于云模型的智慧物流仓储安全评价研究[J]. 物流科技, 2020, 43(3):148-168.
	XIE Zunxian, CAI Erzhu. Research on security evaluation of smart logistics warehouse based on cloud model[J]. Logistics Sci-Tech, 2020, 43(3):148-168.
[15]	阎红巧, 陈怡玥, 田琨, 等. 企业安全生产关键指标体系与风险评价模型[J]. 中国安全科学学报, 2021, 31(9):25-32.
	YAN Hongqiao, CHEN Yiyue, TIAN Kun, et al. Enterprise safety production key index system and risk assessment model[J]. China Safety Science Journal, 2021, 31(9):25-32.
[16]	RIGAS F, SKLAVOUNOS S. Major hazards analysis for populations adjacent to chemical storage facilities[J]. Process Safety and Environmental Protection, 2004, 82(5):341-351. doi: 10.1205/psep.82.5.341.44189
[17]	MARKET F. Assessment and mitigation of the consequences of fires in chemical warehouses[J]. Safety Science, 1998, 30(1):33-44. doi: 10.1016/S0925-7535(98)00031-9
[18]	张晨, 王清, 陈剑平, 等. 金沙江流域泥石流的组合赋权法危险度评价[J]. 岩土力学, 2011, 32(3):831-836.
	ZHANG Chen, WANG Qing, CHEN Jianping, et al. Evaluation of debris flow risk in Jinsha River based on combined weight process[J]. Rock and Soil Mechanics, 2011, 32(3):831-836.