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Causes analysis of coal mine gas accident based on PSO algorithm
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Qia ZHANG, Ruidong HAN, Tao CHEN
China Safety Science Journal | 2025, 35(2) : 104 - 110
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China Safety Science Journal | 2025, 35(2): 104-110
• Safety engineering technology •
Causes analysis of coal mine gas accident based on PSO algorithm
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Qia ZHANG, Ruidong HAN, Tao CHEN
Affiliations
  • School of Management,Xi'an University of Science and Technology,Xi'an Shaanxi 710600,China
Published: 2025-02-28 doi: 10.16265/j.cnki.issn1003-3033.2025.02.0280
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In order to further scientifically prevent and control coal mine gas accidents and systematically analyze the risk factors and coupling relationships of coal mine gas accidents in my country,an association rule mining model based on the PSO algorithm using Python software was established and verified. The risk factors of coal mine gas accidents were classified in combination with the HFACS accident risk model,and the constructed PSO-FP(Freguent Pattern)-growth algorithm was used to mine association rules for coal mine gas accident investigation reports. The results show that the PSO-FP-growth algorithm has better running speed and association rule effect than the PSO-Apriori algorithm. According to the visualization of association rules of gas accident risk factors and high-support association factors,the main risk factors for coal mine gas accidents in my country are defects in safety supervision and management of coal mine enterprises,inadequate gas prevention and control technology,weak safety awareness of employees,and inadequate management awareness and technology of on-site managers.

particle swarm optimization (PSO) algorithm  /  coal mine gas accident  /  accident causation  /  association rules  /  human factors analysis and classification system(HFACS)
张洽, 憨瑞东, 陈涛. 基于PSO算法的煤矿瓦斯事故致因分析. 中国安全科学学报, 2025 , 35 (2) : 104 -110 . DOI: 10.16265/j.cnki.issn1003-3033.2025.02.0280
Qia ZHANG, Ruidong HAN, Tao CHEN. Causes analysis of coal mine gas accident based on PSO algorithm[J]. China Safety Science Journal, 2025 , 35 (2) : 104 -110 . DOI: 10.16265/j.cnki.issn1003-3033.2025.02.0280
Year 2025 volume 35 Issue 2
1101
539
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doi: 10.16265/j.cnki.issn1003-3033.2025.02.0280
  • Receive Date:2024-09-11
  • Online Date:2025-07-05
  • Published:2025-02-28
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  • Received:2024-09-11
  • Revised:2024-11-13
Affiliations
    School of Management,Xi'an University of Science and Technology,Xi'an Shaanxi 710600,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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