基于模糊评价法的深突出煤层冲击压力风险倾向评价

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-04-19 DOI:10.3233/JIFS-189921

B. Gu, Minbo Zhang

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引用次数: 1

摘要

为分析深部煤层冲击煤压力产生机理，采取有效的方法对冲击煤压力进行识别、监测和控制，本研究以东庞矿二煤层21101工作面为例，对东庞矿21101煤层冲击煤压力的有害因素进行了风险识别，并对各影响因素进行了分类。结合专家意见，建立了东庞矿深部煤层冲击压力影响因素的层次结构模型，并利用MATLAB软件计算了各层次指标的权重。结果表明，东庞矿2号煤层21101工作面存在较强的冲击风险，主要风险因素包括地质构造、煤岩抗冲击能力、采动应力、诱发因素、冲击风险强调程度等。根据影响因素的层次结构模型，提出了相应的安全措施，提前预防煤冲击压力造成的危害，保证矿井的高质量安全生产。采用定性和定量相结合的方法，使评价过程更加合理和科学。

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Assessment of risk tendency of coal bursting pressure in deep outburst seam based on fuzzy evaluation method

In order to analysis the mechanism of coal bursting pressures of deep coal seams, and take effective methods to identify, monitor and control coal bursting pressure, this study takes 21101 working face of No. 2 Coal seam in Dongpang Coal Mine as an example, risk identification was carried out for the harmful factors of coal bursting pressure in coal seam 21101 in Dongpang Coal Mine, and each influencing factor was classified. The hierarchical structure model of the influencing factors of coal bursting pressure in coal seam protruding deep in Dongpang Coal Mine was established in combination with expert opinions, and the weight of each level index was calculated by MATLAB software. The results show that the 21101 working face of No. 2 coal seam in Dongpang Coal Mine has strong impact risk, and the main risk factors include geological structure, impact resistance of coal and rock, mining stress, inducing factors, emphasis degree of impact risk. According to the hierarchical structure model of the influencing factors, the corresponding safety measures are put forward to prevent the damage caused by coal bursting pressure in advance and ensure the high quality and safe production in the mine. The qualitative and quantitative methods are used to make the evaluation process more reasonable and scientific.

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.