基于“人-机-环-管”理论的数字化煤矿安全管理研究演化分析
Evolution analysis of digital mine safety management based on“man-machine-environment-management” theory
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摘要: 为了解煤矿安全管理技术数字化研究的演化过程,基于“人-机-环-管”安全生产理论,采用文献研究法,分析了影响煤矿安全管理的因素并总结了煤矿安全管理技术的数字化进程以及当前的研究现状,认为未来对于数字化矿山安全管理会继续以“人-机-环-管”安全生产理论为研究框架,达到煤矿与人工智能、物联网、大数据和云计算等的深度融合。Abstract: In order to understand the evolution of digital research on coal mine safety management technology, this paper, based on the “man-machine-environment-management” safety production theory, using literature research method, analyzed the factors affecting coal mine safety management and summarized the digital process of coal mine safety management technology as well as the current research status. It is believed that the future of digital mine safety management will use the “man-machine-environment-management” safety production theory as a research framework to achieve deep integration of coal mines with artificial intelligence, internet of things, big data and cloud computing.
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Keywords:
- coal mine /
- digital mine /
- man-machine-environment-management /
- mine safety /
- safety management
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[1] 唐艳春.MMEM理论在安全生产中的应用[J].安全、健康和环境,2009,9(1):48-50. TANG Yanchun. Application of MMEM theory in safety production[J]. Safety Health & Environment,2009, 9(1): 48-50.
[2] 崔铁军,李莎莎.智能科学带来的矿业生产系统变革—智能矿业生产系统[J].兰州文理学院学报(自然科学版),2019,33(5):51-55. CUI Tiejun, LI Shasha. The reform of mining production system brought about by intelligent science technology-the intelligent mining production system[J]. Journal of Lanzhou University of Arts and Science(Natural Science Edition), 2019, 33(5): 51-55.
[3] Goffart T V, Vasil’ev A A. Practical Issues of Safety in Coal Mines[J]. Combustion Explosion And Shock Waves, 2019, 55(4): 500-506. [4] WU Yaqin, CHEN Mengmeng, WANG Kai. A dynamic information platform for underground coal mine safety based on internet of things[J]. Safety Science, 2019, 113: 9-18. [5] Yu Kai, Cao Qingui, Xie Changzhen. Analysis of intervention strategies for coal miners’ unsafe behaviors based on analytic network process and system dynamics[J]. Safety Science, 2019, 118: 145-157. [6] 李兆祥.煤矿生产中人的不安全行为分析及对策[J].煤矿安全,1995,26(5):21-23. [7] 刘海滨,梁振东.基于SEM的不安全行为与其意向关系的研究[J].中国安全科学学报,2012,22(2):23. LIU Haibin, LIANG Zhendong. Study on relationship between unsafe behavior and unsafe behavioral intention based on SEM[J]. China Safety Science Journal, 2012, 22(2): 23.
[8] 安景文,赵嘉丽,王金鹤.基于ANP-MEA模型的煤矿工人不安全行为评价[J].煤矿安全,2018,49(8):303. AN Jingwen, ZHAO Jiali, WANG Jinhe. Evaluation of unsafe behavior of coal mine workers based on anp-mea model[J]. Safety in Coal Mines, 2018, 49(8): 303.
[9] 田水承,刘芬,杨禄,等.基于计划行为理论的矿工不安全行为研究[J].矿业安全与环保,2014,41(1):109-112. TIAN Shuicheng, LIU Fen, YANG Lu, et al. Study on miners’ unsafe behaviors based on theory of planned behavior[J]. Mining Safety & Environmental Protection,2014, 41(1): 109-112.
[10] 刘双跃,陈丽娜,周佩玲,等.矿工不安全行为致因分析及控制[J].中国安全生产科学技术,2013,9(1):158-163. LIU Shuangyue, CHEN Lina, ZHOU Peiling, et al.Cause analysis and control measures of miners’ unsafe behaviors[J]. Journal of Safety Science and Technology, 2013, 9(1): 158-163.
[11] Liu Rulin, Cheng Weimin, Yu Yanbin. Human factors analysis of major coal mine accidents in China based on the HFACS-CM model and AHP method[J]. International Journal of Industrial Ergonomics, 2018, 68: 270-279. [12] 郭红领,刘文平,张伟胜.集成BIM和PT的工人不安全行为预警系统研究[J].中国安全科学学报,2014,24(4):104-109. GUO Hongling, LIU Wenping, ZHANG Weisheng. A BIM-PT-integrated warning system for on-site workers’ unsafe behavior[J]. China Safety Science Journal, 2014, 24(4): 104-109.
[13] 佟瑞鹏.张艳伟.人工智能技术在矿工不安全行为识别中的融合应用[J].中国安全科学学报,2019,29(1):7-12. TONG Ruipeng, ZHANG Yanwei. Integration between artificial intelligence technologies for miners’ unsafe behavior identification[J]. China Safety Science Journal, 2019, 29(1): 7-12.
[14] 田水承,董威松,沈小清,等.基于Netlogo的矿工不安全行为传播仿真研究[J].安全与环境学报,2019,19(6):2016. TIAN Shuicheng, DONG Weisong, SHEN Xiaoqing, et al. Simulated visualization of the unsafe behavior propagation of the miners based on the Netlogo platform[J]. Journal of Safety and Environment, 2019, 19(6): 2016.
[15] 卢共平.煤矿采掘机械的状态监测和故障诊断专家系统[J].煤矿机械,1994,15(1):18-20. [16] 耿涛,宋宜梅,向家伟,等.基于OSA-CBM煤矿机械故障诊断系统的设计与研究[J].煤矿机械,2009,30(2):213-214. GENG Tao, SONG Yimei, XIANG Jiawei, et al. Design and research of fault diagnosis system for coal mine machinery based on OSA-CBM[J]. Coal Mine Machinery, 2009, 30(2): 213-214.
[17] 吴炳胜,杜晓雷,蔡超志.基于风险管理的煤矿机械设备监控及智能决策系统研究[J].煤矿机械,2010,31(12):223-224. WU Bingsheng, DU Xiaolei, CAI Chaozhi. Coal mine machinery equipment monitoring and intelligent decision system based on risk management[J]. Coal Mine Machinery, 2010, 31(12): 223-224.
[18] 马修泉,董世知,华正美,等.石墨/铁基耐磨复合材料在煤矿机械中应用[J].煤矿机械,2008,29(8):139. MA Xiuquan, DONG Shizhi, HUA Zhengmei, et al. Application of wear resistant graphite/iron composite on coal mine machinery[J]. Coal Mine Machinery, 2008, 29(8): 139.
[19] 刘海波.基于神经网络的煤矿机械设备状态监测记录模型[J].煤矿机械,2012,33(9):228-230. LIU Haibo. Based on neural network of coal mine machinery equipment state monitoring records model[J]. Coal Mine Machinery, 2012, 33(9): 228-230.
[20] 杨小彬,周世禄,李娜.深度学习及其在煤矿安全领域的应用[J].煤矿安全,2019,50(1):253-256. YANG Xiaobin, ZHOU Shilu, LI Na. Deep learning and its application in coal mine safety[J]. Safety in Coal Mines, 2019, 50(1): 253-256.
[21] Ma Chi, Xiao Xingming. Kinetic analysis of a multi-rope friction mine hoist under overload conditions[J]. Journal of Vibro engineering. 2013, 15(2): 925-932. [22] Cheng Bo, Zhao Shuai, Wang Shangguang. Lightweight mashup middleware for coal mine safety monitoring and control automation[J]. Ieee Transactions on Automation Science and Engineering, 2017, 14(2): 1245-1255. [23] 杨一晴,马宏伟,樊红卫,等.煤矿旋转机械在线故障诊断及预警系统设计[J].工矿自动化,2019,45(10):104-108. YANG Yiqing, MA Hongwei, FAN Hongwei, et al. Design of online fault diagnosis and early warning system for coal mine rotating machinery[J]. Industry and Mine Automation, 2019, 45(10): 104-108.
[24] 周长春,黄元平.煤矿井下工作环境中瓦斯浓度的全态预测[J].西安矿业学院学报,1995(4):315-319. ZHOU Changchun, HUANG Yuanping. All state prediction of gas density in working environment of coal mine[J]. Journal of Xi’an University of Science & Technology, 1995(4): 315-319.
[25] 曾益章.煤矿安全监控系统的关键技术─传感器[J].劳动保护科学技术,1996(1):40-41. [26] 王怀旭.STD—BUS工业控制机在煤矿环境监测中的应用[J].煤矿安全,1992,23(4):31-36. [27] 汪莹,蒋高鹏.RS-SVM组合模型下煤矿安全风险预测[J].中国矿业大学学报,2017,46(2): 423-429. WANG Ying, JIANG Gaopeng. Coal mine safety risk prediction by RS-SVM combined model[J]. Journal of China University of Mining & Technology, 2017, 46(2): 423-429.
[28] Cheng Jianwei, Mei Jing, Peng Siyi. Comprehensive consultation model for explosion risk in mine atmosphere-CCMER[J]. Safety Science, 2019, 120: 798. [29] Jena Satyabadi Kumar, Lokhande Ritesh Dharmraj. Pradhan Manoj. Development of a model to estimate strata behavior during bord and pillar extraction in underground coal mining[J]. Arabian Journal of Geosciences, 2019. [30] 宋金玲,王辉,刘玉英,等.煤矿安全信息管理系统的设计[J].煤矿自动化,2000,26(6):35-36. SONG Jinling, WANG Hui, LIU Yuying, et al. Designing of safety information management system used in coal mine[J]. Industry and Mine Automation, 2000, 26(6): 35-36.
[31] 毛善君,夏良,陈华州.基于安全生产的智能煤矿管控系统[J].煤矿安全,2018,49(12):102-107. MAO Shanjun, XIA Liang, CHEN Huazhou. Design of intelligent coal mine management and control system based on safety production[J]. Safety in Coal Mines, 2018, 49(12): 102-107.
[32] 谭章禄,吴琦,肖懿轩.煤矿通风安全信息可视化方式选择研究[J].煤矿安全,2018,49(12): 86. TAN Zhanglu, WU Qi, XIAO Yixuan. Study on visualization options of coal mine ventilation safety information[J]. Safety in Coal Mines, 2018, 49(12): 86.
[33] 姜福兴,杨光宇,魏全德.煤矿复合动力灾害危险性实时预警平台研究与展望[J].煤炭学报,2018,43(2):333-339. JIANG Fuxing, YANG Guangyu, WEI Quande. Study and prospect on coal mine composite dynamic disaster real-time prewarning platform[J]. Journal of China Coal Society, 2018, 43(2): 333-339.
[34] 刘海滨,刘浩,刘曦萌.煤矿安全数据分析与辅助决策云平台研究[J].中国煤炭,2017,43(4): 84-88. LIU Haibin, LIU Hao, LIU Ximeng. Study on cloud pltform of safety data analysis and assistant dicision-making in coal mine[J]. China Coal, 2017, 43(4): 84-88.
[35] Wang Wensheng, Huang Hui. Natural disaster hidden danger recognition decision support system for coal mine[J]. Przeglad Elektrotechniczny, 2012, 88(9B): 215-218. [36] Liu Quanlong, Meng Xianfei, Hassall Maureen. Accident-causing mechanism in coal mines based on hazards and polarized management[J]. Safety Science, 2016, 85: 276-281. [37] Salap Seda, Karslioglu Mahmut Onur, N Demirel, et al. Development of a GIS-based monitoring and management system for underground coal mining safety[J]. International Journal of Coal Geology, 2009, 80(2): 105. -
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