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Risk identification of coal spontaneous combustion based on COWA modified G1 combination weighting cloud model.
Su, Guorui; Jia, Baoshan; Wang, Peng; Zhang, Ru; Shen, Zhuo.
Afiliação
  • Su G; College of Safety Science and Engineering, Liaoning Technical University, Fuxin, 123000, China.
  • Jia B; Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Huludao, 125105, Liaoning, China.
  • Wang P; College of Safety Science and Engineering, Liaoning Technical University, Fuxin, 123000, China. jbs1972@126.com.
  • Zhang R; Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Huludao, 125105, Liaoning, China. jbs1972@126.com.
  • Shen Z; Ministry of Emergency Management of the People's Republic of China, Information Institute and China Coal Information Institute, Beijing, 100029, China.
Sci Rep ; 12(1): 2992, 2022 Feb 22.
Article em En | MEDLINE | ID: mdl-35194123
ABSTRACT
To realize the scientific judgment of spontaneous combustion risk in the coal mine, the spontaneous combustion influence factors were analyzed from the three aspects of coal spontaneous combustion tendency, air leakage, and oxygen supply, heat storage and heat dissipation. And the basis for the evaluation of t spontaneous combustion grade was constructed. Combination ordered weighted averaging (COWA) calculation was introduced to optimizes G1 subjective weighting, and a COWA modified G1 combined weighting cloud model was proposed to identify the spontaneous combustion risk in the coal mine. Finally, the rationality of the model was verified with actual cases. The research results show that the spontaneous combustion risk level in the Lingquan coal mine is relatively safe, which is consistent with the actual situation. And the spontaneous combustion tendency of coal is the leading factor affecting spontaneous combustion risk.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China