基于熵权−集对分析法的矿井综合安全评价

李杰, 崔朋志, 贺亚飞, 王传省, 席义苗, 杨小彬, 刘顺

李杰,崔朋志,贺亚飞,等. 基于熵权−集对分析法的矿井综合安全评价[J]. 工矿自动化,2025,51(6):129-134, 149. DOI: 10.13272/j.issn.1671-251x.2025050003
引用本文: 李杰,崔朋志,贺亚飞,等. 基于熵权−集对分析法的矿井综合安全评价[J]. 工矿自动化,2025,51(6):129-134, 149. DOI: 10.13272/j.issn.1671-251x.2025050003
LI Jie, CUI Pengzhi, HE Yafei, et al. Comprehensive safety evaluation of mines based on entropy weight and set pair analysis method[J]. Journal of Mine Automation,2025,51(6):129-134, 149. DOI: 10.13272/j.issn.1671-251x.2025050003
Citation: LI Jie, CUI Pengzhi, HE Yafei, et al. Comprehensive safety evaluation of mines based on entropy weight and set pair analysis method[J]. Journal of Mine Automation,2025,51(6):129-134, 149. DOI: 10.13272/j.issn.1671-251x.2025050003

基于熵权−集对分析法的矿井综合安全评价

基金项目: 

国家自然科学基金青年科学基金项目(51904310);中国矿业大学(北京)中央高校基本科研业务费项目(2024ZKPYAQ06)。

详细信息
    作者简介:

    李杰(1988—),男,江苏无锡人,工程师,现主要从事机电管理及安全智能化研究等工作,E-mail:1430127231@qq.com

  • 中图分类号: TD67

Comprehensive safety evaluation of mines based on entropy weight and set pair analysis method

  • 摘要:

    现有矿井安全评价方法的评价指标单一,对各类指标无法定量分析其不确定性程度,在实际工程应用中存在明显的局限性。针对上述问题,提出了一种基于熵权−集对分析法的矿井综合安全评价方法。首先,基于人、机、环、管4类因素构建了包含19个评价指标的矿井综合安全评价指标体系;然后,利用熵权法根据安全评价指标数据的离散程度自动确认权重,可有效避免主观干预,保持计算简便的同时兼具客观性与准确性;最后,采用专家打分的形式得出矿井安全评价指标分值,并通过集对分析方法计算各安全评价指标分值与不同风险等级之间的联系度,再利用加权平均法得出每个评价对象与不同风险等级之间的平均联系度,最终基于最大隶属度理论确定矿井安全风险等级。应用结果表明,通过该方法计算得到的小保当矿井风险等级为较低风险,与实际情况一致;该矿井不安全因素主要表现为实际操作过程中工人疲劳作业率较高,技术水平达标率较低,设备更新换代较慢,以及应急管理措施不完善、安全监查不及时等,可为后续改善矿井安全水平提供依据。

    Abstract:

    The existing mine safety evaluation methods adopt relatively simple evaluation indicators and cannot quantitatively analyze the uncertainty degree of various indicators, resulting in significant limitations in practical engineering applications. To address these problems, a comprehensive mine safety evaluation method based on entropy weight and set pair analysis method is proposed. First, a comprehensive mine safety evaluation index system consisting of 19 indicators was constructed based on four factors: human, machine, environment, and management. Then, the entropy weight method was used to automatically determine the weights according to the degree of dispersion of the safety evaluation data, which could effectively avoid subjective interference while ensuring both simplicity of calculation and objectivity and accuracy. Finally, expert scoring was used to obtain the scores of each safety evaluation indicator, and set pair analysis method was applied to calculate the degree of connection between the indicator scores and different risk levels. The weighted average method was further adopted to obtain the average connection degree between each evaluation object and different risk levels. Based on the maximum membership degree theory, the final mine safety risk level was determined. The application results showed that the calculated risk level of Xiaobaodang Mine using this method was low, which was consistent with the actual situation. The main unsafe factors of the mine were high worker fatigue rate during actual operations, low compliance rate of technical standards, slow equipment updates, and incomplete emergency management measures and untimely safety inspections. The method can provide a reference for improving mine safety in the future.

  • 图  1   矿井综合安全评价指标体系

    Figure  1.   Comprehensive safety evaluation index system for mines

    表  1   安全风险等级划分及处理方式

    Table  1   Classification and handling methods of safety risk levels

    等级划分及处理 等级区间 处理方式
    低风险 [0,1.6) 有序生产
    较低风险 [1.6,4.8) 加强防范风险能力
    中风险 [4.8,7.6) 密切监控风险
    较高风险 [7.6,8.8) 立即整改
    高风险 [8.8,10] 立即实行措施
    下载: 导出CSV

    表  2   矿井安全评价指标分值与权重值

    Table  2   Mine safety evaluation index scores and weight values

    评价指标评价指标分值权重值
    专家1专家2专家3专家4专家5
    技术水平不达标率3.32.63.51.82.10.0202
    违章作业率2.83.23.12.52.70.0137
    疲劳作业率5.24.64.15.03.80.1313
    电气设备失爆率3.75.24.44.83.50.1026
    通风系统完善程度4.03.44.53.84.30.0371
    设备更新率5.23.95.64.73.50.1307
    地质构造复杂程度2.22.43.11.82.90.0197
    煤层厚度变异性系数3.02.61.93.12.30.0134
    煤层自燃倾向性2.12.51.72.63.10.0156
    存在明火可能性4.14.95.13.84.40.0577
    瓦斯浓度2.53.43.12.93.80.0075
    粉尘分散度4.63.23.94.25.10.0631
    构造带透水3.34.13.52.93.10.0109
    人为作业导致透水1.82.33.12.62.80.0153
    顶底板稳定度2.03.42.22.73.80.0114
    安全管理制度完善程度3.94.63.74.12.90.0524
    安全组织机构完善程度4.23.85.14.83.50.1111
    应急管理措施完善程度4.54.23.73.94.90.0453
    安全监查及时程度5.14.46.14.75.40.1410
    下载: 导出CSV

    表  3   矿井安全评价指标分值与不同风险等级之间的联系度

    Table  3   Connection degree between mine safety evaluation index scores and different risk levels

    评价指标 联系度
    低风险 较低风险 中风险 较高风险 高风险
    技术水平不达标率 0.3375 1.0000 0.3375 1.0000 1.0000
    违章作业率 0.2125 1.0000 0.2125 1.0000 1.0000
    疲劳作业率 0.8375 1.0000 0.8375 1.0000 1.0000
    电气设备失爆率 0.7000 1.0000 0.7000 1.0000 1.0000
    通风系统完善程度 0.5000 1.0000 0.5000 1.0000 1.0000
    设备更新率 0.8625 1.0000 0.8625 1.0000 1.0000
    地质构造复杂程度 0.4500 1.0000 0.4500 1.0000 1.0000
    煤层厚度变异性系数 0.3875 1.0000 0.3875 1.0000 1.0000
    煤层自燃倾向性 0.5000 1.0000 0.5000 1.0000 1.0000
    存在明火可能性 0.7875 1.0000 0.7875 1.0000 1.0000
    瓦斯浓度 0.0375 1.0000 0.0375 1.0000 1.0000
    粉尘分散度 0.6250 1.0000 0.6250 1.0000 1.0000
    构造带透水 0.1125 1.0000 0.1125 1.0000 1.0000
    人为作业导致透水 0.4250 1.0000 0.4250 1.0000 1.0000
    顶底板稳定度 0.2375 1.0000 0.2375 1.0000 1.0000
    安全管理制度完善程度 0.4000 1.0000 0.4000 1.0000 1.0000
    安全组织机构完善程度 0.6750 1.0000 0.6750 1.0000 1.0000
    应急管理措施完善程度 0.6500 1.0000 0.6500 1.0000 1.0000
    安全监查及时程度 1.0000 0.7571 1.0000 0.7571 1.0000
    下载: 导出CSV

    表  4   风险等级评价结果

    Table  4   Risk level evaluation results

    平均联系度评价结果
    低风险较低风险中风险较高风险高风险
    0.62450.96580.62450.96581.0000较低风险
    下载: 导出CSV
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  • 收稿日期:  2025-05-03
  • 修回日期:  2025-06-20
  • 网络出版日期:  2025-06-26
  • 刊出日期:  2025-06-14

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