• 中文核心期刊
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  • RCCSE中国核心学术期刊

基于组合赋权-物元可拓模型的煤矿内因火灾安全评价

于 博, 陈光波

于 博, 陈光波. 基于组合赋权-物元可拓模型的煤矿内因火灾安全评价[J]. 煤矿安全, 2023, 54(2): 61-70.
引用本文: 于 博, 陈光波. 基于组合赋权-物元可拓模型的煤矿内因火灾安全评价[J]. 煤矿安全, 2023, 54(2): 61-70.
YU Bo, CHEN Guangbo. Safety assessment of internal fire in coal mine based on combined weighting-matter-element extension model[J]. Safety in Coal Mines, 2023, 54(2): 61-70.
Citation: YU Bo, CHEN Guangbo. Safety assessment of internal fire in coal mine based on combined weighting-matter-element extension model[J]. Safety in Coal Mines, 2023, 54(2): 61-70.

基于组合赋权-物元可拓模型的煤矿内因火灾安全评价

Safety assessment of internal fire in coal mine based on combined weighting-matter-element extension model

  • 摘要: 煤矿安全评价中,指标权重的确定尤为关键,对评价结果起着决定性作用。目前,煤矿内因火灾评价中存在指标选取较少、指标权重确定困难、评价等级界定不清等缺点,影响了评价结果的准确性。据此,构建了以煤层地质赋存、开拓开采技术、煤层自燃倾向性、通风条件及采空区管理4个因素为二级指标,煤层厚度、煤层倾角等24种因素为三级指标的煤矿内因火灾评价体系;利用决策模型和欧氏距离函数,将层次分析法主观权重和熵权法客观权重有效融合,获得更为合理的组合权重,利用组合赋权-物元可拓模型对某煤矿内因火灾进行评价,结果为“较安全”等级,与工程实际吻合;将该模型与传统评价方法进行了对比分析,该模型不仅评价结果准确,而且能够反映评价等级内的偏离程度,有效提高了评价结果的精度。
    Abstract: In coal mine safety evaluation, the determination of index weight is particularly critical, which plays a decisive role in the evaluation results. At present, there are some shortcomings in the evaluation of internal fire in coal mine, such as few index selections, difficulty in determining index weight, unclear definition of evaluation grade and so on, which affects the accuracy of the evaluation results. On the basis of these, the evaluation system of coal mine internal fire is constructed based on four factors: coal seam geological occurrence, development and mining technology, coal seam spontaneous combustion tendency, ventilation condition and goaf management, and coal seam thickness, coal seam inclination and other 24 factors as the third-level index. By using the decision model and the Euclidean distance function, the subjective weight of the analytic hierarchy process and the objective weight of the entropy method are effectively integrated to obtain a more reasonable combined weight. The combined weighting-matter-element extension model is used to evaluate the internal fire in a coal mine. The result is “safer” grade, which is consistent with the engineering practice. The model is compared with the traditional evaluation method, the model is not only accurate, but also can reflect the degree of deviation within the evaluation grade, and can effectively improve the accuracy of the evaluation results.
  • [1] KUMARI K, DEY P, KUMAR C, et al. UMAP and LSTM based fire status and explosibility prediction for sealed-off area in underground coal mine[J]. Process Safety and Environmental Protection, 2021, 146(2): 837-852.
    [2] 汪腾蛟,周西华,白刚,等.煤矿火灾诱发瓦斯爆炸危险性预测[J].煤炭学报,2020,45(12):4104-4110.

    WANG Tengjiao, ZHOU Xihua, BAI Gang, et al. Hazard prediction of gas explosion induced by coal mine fire[J]. Journal of China Coal Society, 2020, 45(12): 4104-4110.

    [3] 聂士斌,邢时超,韩超,等.防治煤矿火灾的凝胶材料制备及其性能研究[J].中国安全科学学报,2020,30(9):115-120.

    NIE Shibin, XING Shichao, HAN Chao, et al. Preparation and properties of gel materials for coal mine fire prevention[J]. China Safety Science Journal, 2020, 30(9): 115-120.

    [4] 梁运涛,侯贤军,罗海珠,等.我国煤矿火灾防治现状及发展对策[J].煤炭科学技术,2016,44(6):1-6.

    LIANG Yuntao, HOU Xianjun, LUO Haizhu, et al. Development countermeasures and current situation of coal mine fire prevention and extinguishing in China[J]. Coal Science and Technology, 2016, 44(6): 1-6.

    [5] 陈晓晶.基于“云-边-端”协同的煤矿火灾智能化防控建设思路探讨[J/OL].煤炭科学技术:1-9.DOI:10.13199/j.cnki.cst.2021-0488.

    CHEN Xiaojing. Discussion on the construction of intelligent prevention and control of coal mine fire based on “cloud-edge-end” cooperation[J/OL]. Coal Science and Technology: 1-9. DOI: 10.13199/j.cnki.cst.2021-0488.

    [6] GARRISON T, O’KEEFE J M K, HENKE K R, et al. Gaseous emissions from the Lotts Creek coal mine fire: Perry County, Kentucky[J]. International Journal of Coal Geology, 2017, 180(1): 57-66.
    [7] PANDEY J, KUMAR D, PANIGRAHI D C, et al. Temporal transition analysis of coal mine fire of Jharia coalfield, India, using Landsat satellite imagerie[J]. Environmental Earth Sciences, 2017, 76(12): 439-452.
    [8] JAHANBANI Z, SERESHKI F, ATAEI M, et al. Risk assessment of fire by using fuzzy fault tree analysis case study: eastern alborz coal mines[J]. Iran Occupational Health Journal, 2017, 14(3): 46-55.
    [9] 秦忠诚,陈光波,李谭,等.“AHP+熵权法”的CW-TOPSIS煤矿内因火灾评价模型[J].西安科技大学学报,2018,38(2):193-201.

    QIN Zhongcheng, CHEN Guangbo, LI Tan, et al. CW-TOPSIS mine internal caused fire evaluation model of “AHP + entropy weight method”[J]. Journal of Xi’an University of Science and Technology, 2018, 38(2):193-201.

    [10] 杜振宇,杨胜强,王军,等.基于可拓优度的矿井火灾安全评价方法[J].矿业安全与环保,2013,40(1):107-110.

    DU Zhenyu, YANG Shengqiang, WANG Jun, et al. Safety evaluation method for mine fire based on extension superiority[J]. Mining Safety & Environmental Protection, 2013, 40(1): 107-110.

    [11] DANISH E, ONDER M. Application of Fuzzy Logic for Predicting of Mine Fire in Underground Coal Mine[J]. Safety and Health at Work, 2020, 11(3): 322-334.
    [12] 陈雅,蒋仲安,谭聪.基于危机征兆的煤矿内因火灾预测模型的研究[J].矿业安全与环保,2015,42(1):56-59.

    CHEN Ya, JIANG Zhongan, TAN Cong. Study on prediction model of coal mine spontaneous combustion based on crisis symptoms[J]. Mining Safety & Environmental Protection, 2015, 42(1): 56-59.

    [13] 孙继平,李月.基于双目视觉的矿井外因火灾感知与定位方法[J].工矿自动化,2021,47(6):12-16.

    SUN Jiping, LI Yue. Binocular vision-based perception and positioning method of mine external fire[J]. Industry and Mine Automation, 2021, 47(6): 12-16.

    [14] 殷涛,谢雄刚.矿井内因火灾的安全评价研究—基于熵值法和突变理论[J].矿业安全与环保,2020,47(2):120-124.

    YIN Tao, XIE Xionggang. Study on safety evaluation of internal-caused fire in mine—based on entropy method and catastrophe theory[J]. Mining Safety & Environmental Protection, 2020, 47(2): 120-124.

    [15] 伍爱友,蔡康旭.矿井内因火灾危险性的模糊评价[J].煤炭科学技术,2004,32(7):58-62.

    WU Aiyou, CAI Kangxu. Fuzzy evaluation on mine self caused fire risk[J]. Coal Science and Technology, 2004, 32(7): 58-62.

    [16] 芦庆和,许猛堂,刘萍,等.一种改进煤矿内因火灾危险性评价方法[J].煤矿安全,2018,49(1):198-201.

    LU Qinghe, XU Mengtang, LIU Ping, et al. An improved method of fire risk assessment for coal mine[J]. Safety in Coal Mines, 2018, 49(1): 198-201.

    [17] 李兴东,王少强,陈洋蕾,等.煤矿内因火灾危险性评价新耦合模型[J].煤矿安全,2018,49(7):159-163.

    LI Xingdong, WANG Shaoqiang, CHEN Yanglei, et al. New coupling model for risk assessment of spontaneous fire in coal mine[J]. Safety in Coal Mines, 2018, 49(7): 159-163.

    [18] 谭艳春,张人伟,陈丽霞,等.模糊综合评价在矿井内因火灾评价中的应用[J].中国安全生产科学技术,2010,6(5):114-117.

    TAN Yanchun, ZHANG Renwei, CHEN Lixia, et al. Application of fuzzy comprehensive evaluation in spontaneous mine fire assessment[J]. Journal of Safety Science and Technology, 2010, 6(5): 114-117.

    [19] 国家安全生产监督管理总局.煤矿安全规程[M].北京:应急管理出版社,2022.
    [20] GB 51078—2015煤炭矿井设计防火规范[S].
    [21] 国家矿山安全监察局.煤矿防灭火细则[M].北京: 应急管理出版社,2021.
    [22] 王新民,秦健春,张钦礼,等.基于AHP-TOPSIS评判模型的姑山驻留矿采矿方法优选[J].中南大学学报(自然科学版),2013,44(3):1131-1137.

    WANG Xinmin, QIN Jianchun, ZHANG Qinli, et al. Mining method optimization of Gu Mountain stay ore based on AHP-TOPSIS evaluation model[J]. Journal of Central South University(Science and Technology), 2013, 44(3): 1131-1137.

    [23] 龚剑,胡乃联,崔翔,等.基于AHP-TOPSIS评判模型的岩爆倾向性预测[J].岩石力学与工程学报,2014, 33(7):1442-1448.

    GONG Jian, HU Nailian, CUI Xiang, et al. Rock burst tendency prediction based on AHP-TOPSIS evaluation model[J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(7): 1442-1448.

    [24] 蔡文.物元模型及其应用[M].北京:科学技术文献出版社,1994.
    [25] 杨春燕,蔡文.可拓学[M].北京:科学出版社,2014.
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  • 发布日期:  2023-02-19

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