ArticleScientific reports2022
Risk identification of coal spontaneous combustion based on COWA modified G1 combination weighting cloud model.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Power Distribution Internet of Things Security Risk Evaluation Based on Combined Weighting and Cloud Model.Entropy (Basel, Switzerland) · 2026Article
- Research on early warning model of coal spontaneous combustion based on interpretability.Scientific reports · 2025Article
- Urban meteorological drought comprehensive index based on a composite fuzzy matter element-moment estimation weighting model.iScience · 2024Article
- Transforming medical equipment management in digital public health: a decision-making model for medical equipment replacement.Frontiers in medicine · 2023Article
- Study on Spontaneous Combustion Characteristics and Oxidation Kinetic Parameters of Lignite at Different Oxygen Concentrations.ACS omega · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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.
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Registered trials
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