Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method
In order to accurately and effectively evaluate the risk of gas explosion in coal mines, an improved fuzzy Bayesian network gas explosion risk assessment model based on entropy weight method is proposed. Firstly, the risk identification of gas explosion accident cases is carried out, and 18 main ris...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Safety in Coal Mines
2025-01-01
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| Series: | Meikuang Anquan |
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| Online Access: | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20231154 |
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| author | Wen HAN Zhaoyang YU Fei LIU Haoyou ZHAO |
| author_facet | Wen HAN Zhaoyang YU Fei LIU Haoyou ZHAO |
| author_sort | Wen HAN |
| collection | DOAJ |
| description | In order to accurately and effectively evaluate the risk of gas explosion in coal mines, an improved fuzzy Bayesian network gas explosion risk assessment model based on entropy weight method is proposed. Firstly, the risk identification of gas explosion accident cases is carried out, and 18 main risk factors of gas explosion are extracted. Secondly, the fault tree model is established, and the corresponding Bayesian network model is established according to the mapping rules. In order to reduce the subjectivity of expert judgment, the combination weight obtained by entropy weight method combined with fuzzy theory is taken as the prior probability of Bayesian network, and then the risk of gas explosion in Songlin Coal Mine of Guizhou Province is evaluated by this model. The results show that the risk probability of gas explosion in Songlin Coal Mine in Guizhou is 25 %, and the risk level is general risk. Gas accumulation and coal spontaneous combustion are the main risk factors of gas explosion. Among them, ventilation resistance, gas outburst, explosion-proof equipment failure, illegal blasting, coal spontaneous combustion and other factors are the key causes of gas explosion, and the evaluation results are consistent with the actual situation. |
| format | Article |
| id | doaj-art-3f5086350baf4aeeac76e8754fc8a358 |
| institution | Kabale University |
| issn | 1003-496X |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Office of Safety in Coal Mines |
| record_format | Article |
| series | Meikuang Anquan |
| spelling | doaj-art-3f5086350baf4aeeac76e8754fc8a3582025-01-15T04:32:08ZzhoEditorial Office of Safety in Coal MinesMeikuang Anquan1003-496X2025-01-01561526110.13347/j.cnki.mkaq.20231154lyMKAQ20231154Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight methodWen HAN0Zhaoyang YU1Fei LIU2Haoyou ZHAO3Mining College of Guizhou University, Guiyang 550025, ChinaMining College of Guizhou University, Guiyang 550025, ChinaMining College of Guizhou University, Guiyang 550025, ChinaMining College of Guizhou University, Guiyang 550025, ChinaIn order to accurately and effectively evaluate the risk of gas explosion in coal mines, an improved fuzzy Bayesian network gas explosion risk assessment model based on entropy weight method is proposed. Firstly, the risk identification of gas explosion accident cases is carried out, and 18 main risk factors of gas explosion are extracted. Secondly, the fault tree model is established, and the corresponding Bayesian network model is established according to the mapping rules. In order to reduce the subjectivity of expert judgment, the combination weight obtained by entropy weight method combined with fuzzy theory is taken as the prior probability of Bayesian network, and then the risk of gas explosion in Songlin Coal Mine of Guizhou Province is evaluated by this model. The results show that the risk probability of gas explosion in Songlin Coal Mine in Guizhou is 25 %, and the risk level is general risk. Gas accumulation and coal spontaneous combustion are the main risk factors of gas explosion. Among them, ventilation resistance, gas outburst, explosion-proof equipment failure, illegal blasting, coal spontaneous combustion and other factors are the key causes of gas explosion, and the evaluation results are consistent with the actual situation.https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20231154gas explosionrisk assessmentfault treefuzzy theoryentropy weight methodbayesian network |
| spellingShingle | Wen HAN Zhaoyang YU Fei LIU Haoyou ZHAO Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method Meikuang Anquan gas explosion risk assessment fault tree fuzzy theory entropy weight method bayesian network |
| title | Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method |
| title_full | Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method |
| title_fullStr | Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method |
| title_full_unstemmed | Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method |
| title_short | Risk assessment of gas explosion based on fuzzy Bayesian network improved by entropy weight method |
| title_sort | risk assessment of gas explosion based on fuzzy bayesian network improved by entropy weight method |
| topic | gas explosion risk assessment fault tree fuzzy theory entropy weight method bayesian network |
| url | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20231154 |
| work_keys_str_mv | AT wenhan riskassessmentofgasexplosionbasedonfuzzybayesiannetworkimprovedbyentropyweightmethod AT zhaoyangyu riskassessmentofgasexplosionbasedonfuzzybayesiannetworkimprovedbyentropyweightmethod AT feiliu riskassessmentofgasexplosionbasedonfuzzybayesiannetworkimprovedbyentropyweightmethod AT haoyouzhao riskassessmentofgasexplosionbasedonfuzzybayesiannetworkimprovedbyentropyweightmethod |