Research on key factors of hidden dangers in coal mines based on Grey-DEMATEL

doi:10.16265/j.cnki.issn1003-3033.2024.S1.0020

Abstract

Abstract:

To effectively reduce the occurrence of coal mine accidents, a systematic analysis of key factors contributing to hidden dangers in coal mines was made by integrating grey theory with the decision-making trial and evaluation laboratory (Grey-DEMATEL) approach. By collecting extensive data on coal mine accidents and relevant literature, an indicator system encompassing multiple dimensions of hidden dangers in coal mines was established. Based on actual surveys and expert evaluations, 13 hidden danger indicators were constructed. The Grey-DEMATEL approach was then employed for quantitative analysis of these hidden danger factors, enabling the identification of causal and resultant factors associated with hidden dangers. The research findings indicate that the primary causal factors leading to hidden dangers in coal mines include inaccurate information transmission, overdue equipment maintenance, and workers' violations of safety protocols. The resultant factors of hidden dangers comprise equipment failures, environmental issues, and management deficiencies. By introducing grey theory, the improved Grey-DEMATEL model can mitigate the bias in weight calculations commonly found in traditional models, providing more accurate results for the identification and management of hidden dangers in coal mines.

Key words: hidden dangers in coal mines, grey theory, decision-making trial and evaluation laboratory (EMATEL), key factors, hidden danger management

CLC Number:

X936

WANG Zhanbao, LIU Xiaojie, LIU Peng. Research on key factors of hidden dangers in coal mines based on Grey-DEMATEL[J]. China Safety Science Journal, 2024, 34(S1): 39-45.

Figures/Tables 7

Fig.1

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Fig.2

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语义变量	打分	灰数
没有影响	0	[0,0]
较小影响	1	[0,0.25]
一般影响	2	[0.25,0.5]
较大影响	3	[0.5,0.75]
极大影响	4	[0.75,1]

语义	区间灰数
不重要	[0,0.3]
不太重要	[0.3,0.5]
重要	[0.4,0.7]
比较重要	[0.5,0.9]
非常重要	[0.7,1]

专家	权重
从业人员1	[0.3,0.5)
从业人员2	[0.5,0.9]
专家1	[0.4,0.7)
专家2	[0.7,1]

指标	S₁	S₂	S₃	S₄	S₅	S₆	S₇	S₈	S₉	S₁₀	S₁₁	S₁₂	S₁₃
S₁	0	0.9	1.25	1.6	1.6	1.3	0.95	0.95	1.3	0.95	1.65	1.65	0.95
S₂	1.3	0	0.73	1.3	1.15	1.5	1.5	0.8	0.85	0.85	0.85	0.8	0.85
S₃	1.8	1.65	0	1.1	1.3	1.3	1.65	1.65	0.95	2.2	0.95	1.3	0.95
S₄	1.65	1.65	1.65	0	1.85	1.5	1.5	3.2	2.35	0	0.85	1.5	0
S₅	1.75	2.6	2	3.2	0	1.6	1.55	1.15	1.3	1.3	0.75	1.1	1.75
S₆	2	1.6	1.6	2.6	0.55	0	0.55	0.55	0.2	0.2	1.75	0.55	2.6
S₇	2.6	2.6	2.6	2.6	1.55	1.4	0	2.05	0.2	1.8	1.8	1.4	0.2
S₈	2.65	2.65	3.02	3.02	2.35	1.4	1.4	0	0	2.85	2.85	1.9	0.2
S₉	2.6	2.6	2.6	2.6	0.85	0	0.85	1.3	0	0	2.85	1.9	1.9
S₁₀	2.6	2.6	2.6	2.6	0.2	1.8	1.8	1.3	1.8	0	2.85	1.9	0
S₁₁	2.6	1.8	2.6	2.6	0.2	0.2	1.8	0.2	1.3	1.3	0	1.75	0
S₁₂	2.25	2.6	2.25	2.9	1.4	1.4	1.4	0	1.6	1.4	1.4	0	2.1
S₁₃	2.6	2.1	2.1	2.9	1.25	0	1.85	0	1.65	1.55	1.4	2	0

指标	D	C	M	R
S₁	3.068	3.262	6.330	-0.194
S₂	3.114	3.044	6.158	0.070
S₃	3.266	3.213	6.479	0.052
S₄	3.959	3.820	7.779	0.138
S₅	2.935	3.143	6.078	-0.207
S₆	2.204	2.775	4.980	-0.570
S₇	2.666	2.881	5.547	-0.215
S₈	3.962	2.959	6.922	1.002
S₉	2.911	2.452	5.36	0.458
S₁₀	3.322	2.493	5.815	0.829
S₁₁	2.291	3.129	5.421	-0.838
S₁₂	2.734	3.227	5.961	-0.493
S₁₃	2.603	2.634	5.238	-0.030