Abstract
The stability of deep “three-soft” coal seam roof has always been a key issue in coal mining. There are a lot of factors affecting the stability of deep three-soft coal seam outburst roof. However, there is currently no definite method able to draw an accurate assessment conclusion on roof stability. In order to accurately determine the main influencing factors of the stability of deep three-soft coal seam outburst roof and reduce the loss of coal production, this paper performed three-soft coal seam risk identification on Lugou Mine based on the introduction of the fuzzy analytic hierarchy process theory. 23 main risk factors were identified. Then, it established a hierarchical structure model of coal seam roof stability in accordance with experts’ opinions. The analytic hierarchy process was used to calculate the weights of indicators at all levels. Next, the paper used the fuzzy comprehensive evaluation method and expert scoring to evaluate various risk factors in the indicator system, as well as the overall safety level. The results showed that the deep three-soft coal seam stability of Lugou Mine ranks the third hazard level. The main risk and harmful factors include safety awareness, safety monitoring system, roof weakness, ventilation system, fire-fighting system, and rock bolt quality. In response to the evaluation results, this paper formulated corresponding control measure in terms of ventilation risk, safety monitoring risks, construction personnel risks, and fire protection risk to reduce losses in the mining process, providing a new evaluation method for the stability assessment of deep outburst coal seam roof.
Highlights
China is a country with a huge coal resource storage. e total proven coal reserves are 5.57 trillion tons, ranking first in the world
Based on the engineering background of stability assessments of three-soft coal seam roof outburst coal seams, this paper used the fuzzy analytic hierarchy process combining the analytic hierarchy process and the fuzzy mathematics to conduct risk analysis of Lugou Mine’s No 32141 working face. It built an analytic hierarchy model. e influencing factors of primary and secondary indicators were determined and ranked by scores. e conclusions are as follows: (1) e analytic hierarchy process is a method combining human subjective judgment and quantitative calculation. It has the characteristics of systematization and hierarchicalization. e quantitative information needed for the analysis is relatively less; the fuzzy mathematics evaluation method combines the fuzzy transformation principle and the maximum membership principle. e comprehensive evaluation of all factors related to the thing to be evaluated focuses on all relevant factors considered
E fuzzy analytic hierarchy process is a combination of the analytic hierarchy process and the fuzzy mathematics method
Summary
China is a country with a huge coal resource storage. e total proven coal reserves are 5.57 trillion tons, ranking first in the world. Due to these characteristics, “three-soft” coal seams are prone to coal and gas outburst accidents [5]. There is not much analysis of the stability of three-soft coal seam outburst roof. E fuzzy analytic hierarchy process combines qualitative and quantitative methods, making evaluation results more reasonable and scientific. Riibas et al [25] used the fuzzy analytic hierarchy process (FAHP) to evaluate the project risk of a large hydropower project in the construction stage. On the basis of the above analysis, scholars at home and abroad had applied the fuzzy analytic hierarchy process to many aspects, no one has analyzed the stability of deep three-soft coal seam roof in coal mines. E fuzzy analytic hierarchy process combines the qualitative and quantitative analyses to make results more scientific and reasonable Fuzzy mathematics can be used for qualitative analysis. e analytic hierarchy process can solve problems quantitatively. e fuzzy analytic hierarchy process combines the qualitative and quantitative analyses to make results more scientific and reasonable
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