中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (3): 135-140.doi: 10.16265/j.cnki.issn1003-3033.2017.03.024

• 安全卫生工程技术 • 上一篇    下一篇

矿井防尘供水管网可靠性未确知测度评价模型

邓权龙1, 蒋仲安1 教授, 王佩2   

  1. 1 北京科技大学 金属矿山高效开采与安全教育部重点实验室,北京 100083
    2 首都经济贸易大学 安全与环境工程学院,北京 100070
  • 收稿日期:2016-11-29 修回日期:2017-02-14 发布日期:2020-11-22
  • 作者简介:邓权龙 (1990—),男,江西贵溪人,博士研究生,研究方向为矿山尘毒控制、职业危害防治等。E-mail:dql3316@163.com。
  • 基金资助:
    国家自然科学基金资助(51574016,51274024);2015年提高定额—青年教师科研启动基金资助;2017年度校级科研项目。

Uncertainty measurement model for evaluating reliability of mine dust-proofing water supply network

DENG Quanlong1, JIANG Zhongan1, WANG Pei2   

  1. 1 Key Laboratory of Ministry of Education for High Efficiency Exploitation and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 100083, China
    2 School of Safety & Environmental Engineering, Capital University of Economics & Business,Beijing 100070,China
  • Received:2016-11-29 Revised:2017-02-14 Published:2020-11-22

摘要: 为研究矿井防尘供水管网安全可靠性,综合考虑管网运行的影响因素,选取13个评价指标,建立指标体系,划分评价等级。依据未确知测度理论,构建矿井防尘供水管网未确知测度评价模型。以范各庄矿为应用对象,量化各指标,构造指标测度函数;运用信息熵确定指标权重;依据置信度识别准则,得到管网评价等级为Ⅱ级,说明其安全可靠性好。以5个典型煤矿为样本,运用该评价模型,分别得出各矿供水管网安全可靠性等级,并与实际情况对比,评价结果和实际情况相吻合,验证了模型的有效性。

关键词: 矿井防尘; 供水管网; 未确知测度; 信息熵; 置信度识别; 可靠性评价

Abstract: In order to study the safety reliability of mine dustproof water supply networks, factors affecting operation of the pipe networks were examined, thirteen evaluation indicators were identified, an evaluation indicator system was established, and the evaluation classification criteria were established. Based on the unascertainty measurement theory, an evaluation was built for mine dustproof water supply networks. Taking Fangezhuang coal mine as the object of application, the indicators were quantified and the measurement functions were constructed. The information entropy was used to determine the weights of the indicators. According to the identification criterion of confidence, the evaluation grade is Ⅱ, which shows that the network is safe and reliable. The model was applied to five typical coal mines taken as samples to evaluate, the safety reliability levels of their mine water supply networks. The evaluation results conform with the actual situation.

Key words: mine dust-proofing, water supply network, uncertainty measurement, information entropy, credible degree recognition, reliability evaluation

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