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

doi:10.16265/j.cnki.issn1003-3033.2018.08.023

Abstract

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

CLC Number:

X936

YUAN Jiangtao, ZHANG Ruixin, ZHAO Hongze, WU Linlin, FAN Yanqiang. Development and application of case-based reasoning based information system for identifying and controlling hidden danger in coal mine[J]. China Safety Science Journal, 2018, 28(8): 135-141.

References

[1] 胡镇峰,张瑞新.煤矿隐患排查管理信息系统的研究与实现[J].煤炭工程,2013(2):132-134.
HU Zhenfeng,ZHANG Ruixin.Research and implementation of coal mine hidden trouble management information system[J].Coal Engineering,2013(2):132-134.
[2] 李鑫,刘双跃,梁玉霞,等.煤矿隐患分类处理系统设计探讨[J].中国安全生产科学技术,2012,8(5):189-193.
LI Xin,LIU Shuangyue,LIANG Yuxia,et al.Design of classification management system for hidden dangers in coal mine[J].Journal of Safety Science and Technology,2012,8(5):189-193.
[3] 李贤功,宋学锋,孟现飞.煤矿安全风险预控与隐患闭环管理信息系统设计研究[J].中国安全科学学报,2010,20(7):89-94.
LI Xiangong,SONG Xuefeng,MENG Xianfei.Study on prevention and control of coal mine safety risk and design of hidden danger closing management information system[J].China Safety Science Journal,2010,20(7):89-94.
[4] 谭斌,付雨露,曹庆仁.煤矿隐患排查治理闭合模式的构建与运行[J].煤炭工程,2011(1):126-128.
TAN Bin,FU Yulu,CAO Qingren.Establishment and operation of detection and control closed loop model for mine hidden dangers[J].Coal Engineering,2011(1):126-128.
[5] KOLODNER J L.Improving human decision making through cased-based reasoning techniques[J].AI Magazine,1991,12(3):52-59.
[6] GAVIN Finnie,SUN Zhaohao.R5 model for case-based reasoning[J].Knowledge-Based Systems,2003,16(1):59-65.
[7] 袁晓芳,李红霞,田水承.煤矿重大瓦斯事故案例推理应急决策方法[J].辽宁工程技术大学学报:自然科学版,2012,31(5):595-599.
YUAN Xiaofang,LI Hongxia,TIAN Shuicheng.Case-based reasoning emergency decision method of gas accident in coal mines[J].Journal of Liaoning Technical University:Nature Science,2012,31(5):595-599.
[8] 陈锐,李黔,尹虎.案例推理技术在钻井风险预测中的应用[J].断块油气田,2013,20(2):225-227.
CHEN Rui,LI Qian,YIN Hu.Application of case-based reasoning technology in drilling risk prediction[J].Fault Block Oil Gas Field,2013,20(2):225-227.
[9] 阎红灿.本体建模与语义Web知识发现[M].北京:清华大学出版社,2015:147-148.
[10] 李锋刚.基于案例推理的智能决策技术[M].合肥:安徽大学出版社,2011:35-40.
[11] 张本生,于永利.CBR系统案例搜索中的混合相似性度量方法[J].系统工程理论与实践,2002,22(3):131-136.
ZHANG Bensheng,YU Yongli.Hybrid similarity measure for retrieval in case based reasoning system[J].System Engineering- Theory and Practice,2002,22(3):131-136.
[12] 沈斌.基于分词的中文文本相似度计算研究[D].天津:天津财经大学,2006.
SHEN Bin.Study on Chinese text similarity computing based on word segmentation[D].Tianjin:Tianjin University of Finance and Economics,2006.
[13] 梅家驹,竺一鸣,高蕴琦,等.同义词词林[M].上海:上海辞书出版社,1993:106-108.
[14] 田久乐,赵蔚.基于同义词词林的词语相似度计算方法[J].吉林大学学报:信息科学版,2010,28(6):602-608.
TIAN Jiule,ZHAO Wei.Words similarity algorithm based on Tongyici Cilin in semantic web adaptive leaming system[J].Journal of Jilin University:Information Science Edition,2010,28(6):602-608.
[15] 金博,史彦军,滕弘飞.基于语义理解的文本相似度算法[J].大连理工大学学报,2005,45(2):291-297.
JIN Bo,SHI Yanjun,TENG Hongfei.Text similarity algorithm based on semantic understanding[J].Journal of Dalian University of Technology,2005,45(2):291-297.
[16] 张英菊,仲秋雁,叶鑫,等.基于案例推理的应急辅助决策方法研究[J].计算机应用研究,2009,26(4):1412-1415.
ZHANG Yingju,ZHONG Qiuyan,YE Xin,et al.Research on method of emergency aid decision making based on CBR[J].Application research of computer,2009,26(4):1412-1415.
[17] 王龙康.煤矿安全隐患层次分析与预警方法研究[D].北京:中国矿业大学(北京),2015.
WANG Longkang.The hierarchy analysis for hidden danger and research on early warning method in coal mine[D].Beijing:China University of Mining and Technology(Beijing),2015.
[18] 何国家,刘双勇,孙彦彬.煤矿事故隐患监控预警的理论与实践[J].煤炭学报,2009,34(2):212-217.
HE Guojia,LIU Shuangyong,SUN Yanbin.Theory and practice of coal mine accident hidden danger monitoring and early warning[J].Journal of China Coal Society,2009,34(2):212-217.