基于CWM-TOPSIS模型的金属矿山企业安全管控能力评价

doi:10.11872/j.issn.1005-2518.2024.01.130

Abstract

Abstract:

The metal mine is an important industry type for China’s social-economic development in China.In recent years，mines have been constructing safety digitalization，and improving the level of mine safety management and control capacity is the key aspect of achieving enterprise transformation and high-quality development.The Internet of Things，cloud computing，roboticized equipment，and modern mining deve-lopment，safety production and other technologies are deeply integrated，gradually forming an intelligent security control system that integrates situational awareness，dynamic prediction，and intelligent warning.During this process，metal mining enterprises still face problems such as lack of safety management，unclear decision-making targets，and frequent safety accidents.Therefore，during the construction of metal mine safety digi-talization，a new evaluation index system for metal mine safety control capacity was proposed.The CWM method was used to comprehensively analyze the influencing factors of the safety control capacity of metal mining enterprises，and the CWM-TOPSIS method was used to construct an evaluation model for the safety control capacity of metal mines.The safety management and control capacity of five gold enterprises in Shandong Province was evaluated.AHP-TOSIS and EWM-TOPSIS model were used to verify the CWM-TOSIS model.The results show that the order of the most significant indicators affecting the safety management and control capacity of metal mining enterprises is emergency response ability （x₁₁） > safety technology level （x₁₀） > risk intelligent early warning ability （x₁₃），and Enterprise 1 has the highest safety control capacity，which is consistent with the actual situation.The model and method can be adapted to the safety control capacity evaluation of metal mines.

Key words: metal mining enterprises, safety control capacity, entropy weight method, combination weighting, TOPSIS method, approximate ideal solution

CLC Number:

TD76

Xiao LI, Jun XU, Chengxu ZHANG, Lailun SUI, Zaiyong WANG. Evaluation of Safety Control Capacity of Metal Mining Enterprises Based on CWM-TOPSIS Model[J].Gold Science and Technology, 2024, 32(1): 100-108.

Figures/Tables 9

Fig.1

Table 1

Table 2

Table 3

Calculation results of each evaluation index"

一级指标	二级指标	$z j$	$ω 2$	权重排序
企业安全管理能力	责任主体落实x₁	0.8472	0.0455	13
	管理机构建立x₂	0.7894	0.0627	9
	安全制度建立x₃	0.6712	0.0979	4
	培训与宣传力度x₄	0.7551	0.0729	8
企业员工安全水平	员工安全意识x₅	0.8332	0.0496	11
	安全技能水平x₆	0.7408	0.0772	6
	安全工作执行力x₇	0.8357	0.0489	12
企业风险控制能力	危险源辨识x₈	0.8077	0.0572	10
	安全隐患排查x₉	0.7137	0.0852	5
	安全技术水平x₁₀	0.6381	0.1077	2
	应急处置能力x₁₁	0.5937	0.1209	1
安全数智化水平	多维态势感知能力x₁₂	0.7550	0.0729	7
安全数智化水平	风险智能监测能力x₁₃	0.6591	0.1014	3

Table 3

Table 4

Fig.2

Table 5

Table 6

Table 7

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标度	含义
1	2个要素相比，同样重要
3	2个要素相比，后者比前者稍重要
5	2个要素相比，后者比前者明显重要
7	2个要素相比，后者比前者强烈重要
9	2个要素相比，后者比前者极端重要
2，4，6，8	上述相邻判断的中间状态
倒数	2个要素相比，后者比前者的重要性标度

S	x₁	x₂	x₃	x₄	x₅	x₆	x₇	x₈	x₉	x₁₀	x₁₁	x₁₂	x₁₃	ω₁	权重排序
x₁	1	1.3665	2.6377	0.8417	1.0811	0.2180	0.4327	2.6199	0.2385	0.2224	0.2458	0.2210	1.7419	0.0463	11
x₂	0.7318	1	0.2715	0.9770	0.4862	0.2055	0.2915	0.3294	0.3683	0.2485	0.2194	0.3748	0.5426	0.0212	13
x₃	0.3791	3.6828	1	0.3904	0.2892	0.5598	0.5464	0.2109	0.4940	7.2657	1.1005	0.5238	7.7668	0.0889	6
x₄	1.1880	1.0236	2.5615	1	0.2238	0.3545	0.2493	0.6382	0.3146	0.2006	1.6891	0.2042	0.3578	0.0414	12
x₅	0.9249	2.0567	3.4583	4.4687	1	0.6331	0.5783	0.4516	0.8250	0.2897	0.2047	0.4714	0.4671	0.0506	10
x₆	4.5882	4.8674	1.7863	2.8208	1.5796	1	1.3089	0.6087	0.4146	0.9766	0.3289	0.3858	0.3806	0.0651	9
x₇	2.3111	3.4302	1.8301	4.0112	1.7293	0.7640	1	0.2906	0.7284	0.2276	0.5149	3.5774	3.3499	0.0844	8
x₈	0.3817	3.0362	4.7423	1.5670	2.2143	1.6428	3.442	1	0.2129	0.2919	0.3822	2.6083	2.0916	0.0893	5
x₉	4.1926	2.7150	2.0245	3.1783	1.2121	2.4119	1.373	4.6970	1	1.005	0.242	0.209	0.633	0.0865	7
x₁₀	4.4960	4.0248	0.1376	4.9844	3.4514	1.0239	4.394	3.4263	0.9952	1	0.2977	0.2217	0.2377	0.0974	4
x₁₁	4.0684	4.5588	0.9087	0.5920	4.8862	3.0407	1.942	2.6162	4.1359	3.3591	1	1.2602	0.4923	0.1233	1
x₁₂	4.5242	2.6677	1.9090	4.8965	2.1215	2.5920	0.280	0.3834	4.7891	4.5102	0.7935	1	0.2470	0.1076	2
x₁₃	0.5741	1.8431	0.1288	2.7950	2.1408	2.6274	0.299	0.4781	1.5807	4.2075	2.0312	4.0490	1	0.0981	3

评价指标	3种评价方法综合权重ω^*			综合权重排序
评价指标	AHP法	EWM法	CWM法	综合权重排序
责任主体落实x₁	0.0463	0.0455	0.0461	12
管理机构建立x₂	0.0212	0.0627	0.0321	13
安全制度建立x₃	0.0889	0.0979	0.0912	5
培训与宣传力度x₄	0.0414	0.0729	0.0497	11
员工安全意识x₅	0.0506	0.0496	0.0503	10
安全技能水平x₆	0.0651	0.0772	0.0683	9
安全工作执行力x₇	0.0844	0.0489	0.0751	8
危险源辨识x₈	0.0893	0.0572	0.0809	7
安全隐患排查x₉	0.0865	0.0852	0.0862	6
安全技术水平x₁₀	0.0974	0.1077	0.1001	2
应急处置能力x₁₁	0.1233	0.1209	0.1227	1
多维态势感知能力x₁₂	0.1076	0.0729	0.0985	4
风险智能监测能力x₁₃	0.0981	0.1014	0.0990	3

矿山企业	正理想解	负理想解
企业1	0.1527	0.1992
企业2	0.1917	0.1701
企业3	0.2395	0.1437
企业4	0.1841	0.1952
企业5	0.2093	0.1662

矿山企业	AHP- TOPSIS法	EWM- TOPSIS法	CWM- TOPSIS法	CWM-TOPSIS法贴进度排序
企业1	0.5688	0.5590	0.5660	1
企业2	0.4672	0.4815	0.4701	3
企业3	0.3891	0.3350	0.3750	5
企业4	0.5295	0.4744	0.5147	2
企业5	0.4359	0.4642	0.4426	4

Evaluation of Safety Control Capacity of Metal Mining Enterprises Based on CWM-TOPSIS Model

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矿山企业	安全管控能力评分	排序
企业1	8.4154	1
企业2	8.2773	2
企业3	7.8820	5
企业4	8.1408	3
企业5	7.9670	4

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