中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (8): 135-141.doi: 10.16265/j.cnki.issn1003-3033.2018.08.023

• 安全工程技术科学 • 上一篇    下一篇

煤矿案例推理隐患排查治理信息系统开发及应用

原江涛1, 张瑞新2,3 教授, 赵红泽2 副教授, 吴林林3, 范延强2   

  1. 1 光力科技股份有限公司,河南 郑州 450001;
    2 中国矿业大学北京资源与安全工程学院,北京 100083;
    3 华北科技学院,河北 廊坊 065201
  • 收稿日期:2018-05-24 修回日期:2018-07-06 出版日期:2018-08-28 发布日期:2020-11-25
  • 作者简介:原江涛(1991—),男,河南焦作人,硕士,主要从事煤矿信息技术方面的研究工作。E-mail:yjt_cumtb@163.com。

Development and application of case-based reasoning based information system for identifying and controlling hidden danger in coal mine

YUAN Jiangtao1, ZHANG Ruixin2,3 , ZHAO Hongze2, WU Linlin3, FAN Yanqiang2   

  1. 1 Guangli Tech Company Limited,Zhengzhou Henan 450001,China;
    2 School of Resources & Safety Engineering,China University of Mining and Technology Beijing,Beijing 100083,China;
    3 North China Institute of Science and Technology,Langfang Hebei 065201,China
  • Received:2018-05-24 Revised:2018-07-06 Online:2018-08-28 Published:2020-11-25

摘要: 为提高煤矿隐患排查治理方法的科学性和有效性,提出基于案例推理的煤矿隐患排查治理模型。首先,研究煤矿安全隐患的本体表示法和案例检索等关键技术;然后,建立事故规则库,运用模糊推理技术来确定事故隐患的预警级别;最后,开发构建煤矿案例推理隐患排查信息系统,并将其应用于北京昊华能源股份有限公司大台煤矿。结果表明:所开发的隐患排查信息系统,能使煤矿事故和隐患历史记录在隐患排查治理中充分发挥作用,对于提高职工安全意识,制定合理的隐患整改措施,以及避免同类隐患再次引发事故有指导作用。

关键词: 案例推理, 隐患排查治理, 预警, 模糊推理, 信息系统

Abstract: In order to improve the effectiveness of hidden danger investigation and treatment methods,a model based on case-based reasoning was built for coal mine hidden danger investigation.Key technologies of case-based reasoning of hidden danger were studied further,such as ontology representation methods and case retrieval.The level of the early warning of the hidden danger was determined with the established rule base of accidents and fuzzy inference technology.An information system of coal mine hidden danger investigation based on case-based reasoning was established and applied to the Datai coal mine of Beijing Haohua Energy Resource Co.,Ltd.The results show that the information system ensures historical records on coal mine accidents and hidden dangers play their full role in the hidden danger investigation and treatment,and is helpful in improving employee safety awareness,establishing reasonable hidden rectification measures and preventing a similar hidden danger from leading once again to coal mine accidents.

Key words: case-based reasoning, hidden danger investigation and treatment, warning, fuzzy reasoning, information system

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