中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (12): 62-69.doi: 10.16265/j.cnki.issn 1003-3033.2020.12.009

• 安全社会科学与安全管理 • 上一篇    下一篇

矿工习惯性违章行为风险态势评估

贺莹鸽1, 连民杰2 教授, 江松**1 讲师, 苏梦哲1   

  1. 1 西安建筑科技大学 管理学院,陕西 西安 710055;
    2 中钢矿业开发有限公司,北京100080
  • 收稿日期:2020-09-21 修回日期:2020-11-05 出版日期:2020-12-28 发布日期:2021-07-15
  • 通讯作者: **江 松(1990—),男,江西上饶人,博士,讲师,主要从事矿山安全管理、安全系统工程方面的研究。E-mail:jiangsong925@163.com。
  • 作者简介:贺莹鸽 (1995—),女,河南巩义人,硕士研究生,研究方向为行为安全、矿山安全管理。E-mail:hyingge95@126.com。
  • 基金资助:
    国家自然科学基金资助(51974223)。

Risk state assessment of coal miners' habitual violation behavior

HE Yingge1, LIAN Minjie2, JIANG Song1, SU Mengzhe1   

  1. 1 School of Management, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China;
    2 Sinosteel Mining Co., Ltd., Beijing 100080, China
  • Received:2020-09-21 Revised:2020-11-05 Online:2020-12-28 Published:2021-07-15

摘要: 为减少由矿工习惯性违章行为引发的安全事故,考虑到这种行为具有随机性与不确定性,通过模糊层次分析法(FAHP)与信息熵(IE)理论相结合的方法,确定评价指标的客观权重;将风险级别划分为由低到高5个等级,采用五元联系数构建矿工习惯性违章行为风险态势评估模型;以陕西省某煤矿为例,探讨矿工习惯性违章行为风险变化趋势。结果表明:组织管理和作业环境是矿工习惯性违章行为发生的重要原因,矿工习惯性违章行为风险是波动变化的,资源管理不当、组织文化宣传不足、浮游煤尘多、工作倦怠等指标的集对势较小,风险程度较高,应予以重视。

关键词: 矿工, 习惯性违章行为, 风险态势, 模糊层次分析法(FAHP), 信息熵(IE), 五元联系数

Abstract: In order to reduce accidents caused by habitual violation behavior of coal miners, FAHP and IE were used, considering randomness and uncertainty of miners' habitual violation, to determine objective weight of evaluation index. Then risks were divided into five grades, and a risk state assessment model of their habitural violation was constructed by using five-element relation number. Finally, with a coal mine in Shaanxi Province as an example, change trend of risks was explored. The results show that organization management and working environment are two important reasons for miners' habitual violation of regulations, and risk of miners' habitual violation behavior is fluctuating. Poor management of resources, insufficient propaganda of organizational culture, more coal dust and job burnout should be valued because they have high risk.

Key words: coal mine, habitual violation behavior, risk situation, fuzzy analytic hierarchy process (FAHP), information entropy (IE), five-element connection number

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