Advance Search
LI Shuang,HE Chao,LU Cheng,et al. Research on intelligent dual prevention mechanism and intelligent security control platform of coal mine[J]. Coal Science and Technology,2023,51(1):464−473. DOI: 10.13199/j.cnki.cst.2022-2155
Citation: LI Shuang,HE Chao,LU Cheng,et al. Research on intelligent dual prevention mechanism and intelligent security control platform of coal mine[J]. Coal Science and Technology,2023,51(1):464−473. DOI: 10.13199/j.cnki.cst.2022-2155

Research on intelligent dual prevention mechanism and intelligent security control platform of coal mine

Funds: 

National Natural Science Foundation of China (71972176)

More Information
  • Received Date: December 08, 2022
  • Accepted Date: December 29, 2022
  • Available Online: March 08, 2023
  • At present, China’s industrial production is facing intelligent technological innovation, and the coal mining industry is also in the wave of intelligent construction. The technical innovation of coal mine intelligence impels coal mine safety management into intelligence, and intelligent coal mine safety in the direction of intelligent safety risk control is the safety premise and safety guarantee of intelligent coal mine construction. To address the key issues of coal mine production safety risk prevention and control, the basic logic of the dual prevention mechanism and its shortcomings are firstly clarified. Double prevention mechanism is a set of effective safety management methods to prevent and control serious production safety incidents by identifying safety risks in advance, formulating corresponding control measures, and combining with closed-loop treatment procedures for hidden danger investigation. Its shortcoming is that the dynamic change characteristics of risks are not fully considered. Based on the analysis of the shortcomings of the dual prevention mechanism, the logic of the intelligent dual prevention mechanism and its advantages under the requirements of intelligent safety management are systematically elaborated. Based on the inherent risk classification and control, intelligent double prevention realizes dynamic assessment and prediction and early warning of the remaining risks, so that corresponding control measures can be taken to avoid hidden dangers before the risks really get out of control. Based on the management method of double prevention mechanism, the intelligent double prevention mechanism and intelligent safety control platform are proposed, and its system architecture, operation logic and construction basis are discussed. For safety management work, the intelligent safety control platform scientifically answers a series of questions about which person, when, where and what to check. On the basis of regular full-coverage control of each risk, it realizes differentiated resource input for different risk levels and timely and advanced control of hidden dangers, which makes all safety management activities simple while improving safety management performance. On the basis of the control platform, the key technologies required for the platform are discussed. These include digitization, collection and transmission of comprehensive security data, storage and management of comprehensive security data, intelligent algorithm models based on security management scenarios, integration of intelligent hardware with the control platform, and data visualization display and remote interaction technologies based on CPS or digital twin. Based on the double prevention mechanism, the intelligent double prevention mechanism and intelligent safety control platform are proposed. On the basis of lean allocation of safety resources, it realizes the advance control of safety risks, and then fundamentally improves the safety level of the enterprise and realizes the essential safety.

  • [1]
    汤海龙. 智慧矿山信息系统通用技术规范解读及关键技术探讨[J]. 煤炭科学技术,2018,46(S2):157−160.

    TANG Hailong. Interpretation of general technical specifications for smart mine information systems and discussion on its key technologies[J]. Coal Science and Technology,2018,46(S2):157−160.
    [2]
    王国法,刘 峰,孟祥军,等. 煤矿智能化(初级阶段)研究与实践[J]. 煤炭科学技术,2019,47(8):1−36.

    WANG Guofa,LIU Feng,MENG Xiangjun,et al. Research and practice on intelligent coal mine construction (primary stage)[J]. Coal Science and Technology,2019,47(8):1−36.
    [3]
    Wang G,Xu Y,Ren H. Intelligent and ecological coal mining as well as clean utilization technology in China: Review and prospects[J]. International Journal of Mining Science and Technology,2019,29(2):161−169. doi: 10.1016/j.ijmst.2018.06.005
    [4]
    王国法,刘 峰,庞义辉,等. 煤矿智能化−煤炭工业高质量发展的核心技术支撑[J]. 煤炭学报,2019,44(2):349−357.

    WANG Guofa,LIU Feng,PANG Yihui,et al. Coal mine intellectualization: The core technology of high quality development[J]. Journal of China Coal Society,2019,44(2):349−357.
    [5]
    李 爽,薛广哲,方新秋,等. 煤矿智能化安全保障体系及关键技术[J]. 煤炭学报,2020,45(6):2320−2330.

    LI Shuang,XUE Guangzhe,FANG Xinqiu,et al. Coal mine intelligent safety system and key technologies[J]. Journal of China Coal Society,2020,45(6):2320−2330.
    [6]
    Wang G,Ren H,Zhao G,et al. Research and practice of intelligent coal mine technology systems in China[J]. International Journal of Coal Science & Technology,2022,9(1):1−17.
    [7]
    王国法,任怀伟,庞义辉,等. 煤矿智能化(初级阶段)技术体系研究与工程进展[J]. 煤炭科学技术,2020,48(7):1−27.

    WANG Guofa,REN Huaiwei,PANG Yihui,et al. Research and engineering progress of intelligent coal mine technical system in early stages[J]. Coal Science and Technology,2020,48(7):1−27.
    [8]
    庞义辉,王国法,任怀伟. 智慧煤矿主体架构设计与系统平台建设关键技术[J]. 煤炭科学技术,2019,47(3):35−42.

    PANG Yihui,WANG Guofa,REN Huaiwei. Main structure design of intelligent coal mine and key technology of system platform construction[J]. Coal Science and Technology,2019,47(3):35−42.
    [9]
    王国法,杜毅博. 智慧煤矿与智能化开采技术的发展方向[J]. 煤炭科学技术,2019,47(1):1−10.

    WANG Guofa,DU Yibo. Development direction of intelligent coal mine and intelligent mining technology[J]. Coal Science and Technology,2019,47(1):1−10.
    [10]
    王国法,庞义辉,李 爽,等. 基于煤矿时空多源信息感知的智能安控闭环体系[J]. 矿业安全与环保,2022,49(4):1−11. doi: 10.19835/j.issn.1008-4495.2022.04.001

    WANG Guofa,PANG Yihui,LI Shuang,et al. Intelligent safety closed-loop management and control system based on multi-source information perception in coal mine[J]. Mining Safety & Environmental Protection,2022,49(4):1−11. doi: 10.19835/j.issn.1008-4495.2022.04.001
    [11]
    王国法,任怀伟,赵国瑞,等. 智能化煤矿数据模型及复杂巨系统耦合技术体系[J]. 煤炭学报,2022,47(1):61−74.

    WANG Guofa,REN Huaiwei,ZHAO Guorui,et al. Digital model and giant system coupling technology system of smart coal mine[J]. JOURNAL OF CHINA COAL SOCIETY,2022,47(1):61−74.
    [12]
    侯 刚,王国法,薛忠新,等. 煤矿辅助运输自动驾驶关键技术与装备[J]. 采矿与岩层控制工程学报,2022,4(3):5−17.

    HOU Gang,WANG Guofa,XUE Zhongxin,et al. Key technologies and equipment for automatic driving of coal mine auxiliary transportation[J]. Journal of Mining And Strata Control Engineering,2022,4(3):5−17.
    [13]
    李 爽,贺 超,许 锟. 煤矿安全双重预防机制理论、应用与发展研究[J]. 中国煤炭,2021,47(10):23−30. doi: 10.3969/j.issn.1006-530X.2021.10.004

    LI Shuang,HE Chao,XU Kun. Research on the theory, application and development of dual prevention mechanism of coal mine safety[J]. China Coal,2021,47(10):23−30. doi: 10.3969/j.issn.1006-530X.2021.10.004
    [14]
    李 爽,贺 超,薛广哲. 以双重预防机制实现智能矿山愿景用灾害综合防治系统保障智能矿山安全[J]. 智能矿山,2022,3(6):87−92.

    LI Shuang,HE Chao,XUE Guangzhe. Realize the vision of intelligent mine with dual prevention mechanism and ensure the safety of intelligent mine with comprehensive disaster prevention system[J]. Journal of Intelligent Mine,2022,3(6):87−92.
    [15]
    法子薇,李新春. 煤矿安全双重预防管理机制驱动研究[J]. 科技与经济,2021,34(1):6−10.

    FA Ziwei,LI Xinchun. Analytical Research on Double Prevention and Management Mechanism of Coal-mining Safety[J]. Science & Technology and Economy,2021,34(1):6−10.
    [16]
    LU C,LI S,XU K,et al. Coal Mine Safety Accidents, Environmental Regulation and Economic Development—An Empirical Study of PVAR Based on Ten Major Coal Provinces in China[J]. Sustainability,2022,14(21):14334. doi: 10.3390/su142114334
    [17]
    王国法,富佳兴,孟令宇. 煤矿智能化创新团队建设与关键技术研发进展[J]. 工矿自动化,2022,48(12):1−15.

    WANG Guofa,FU Jiaxing,MENG Lingyu. Development of innovation team construction and key technology research in coal mine intelligence[J]. Journal of Mine Automation,2022,48(12):1−15.
    [18]
    LI S,YOU M,LI D,et al. Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques[J]. Process Safety and Environmental Protection,2022,162:1067−1081. doi: 10.1016/j.psep.2022.04.054
    [19]
    XU K,LI S,LIU J,et al. Evaluation Cloud Model of Spontaneous Combustion Fire Risk in Coal Mines by Fusing Interval Gray Number and DEMATEL[J]. Sustainability,2022,14(23):15585. doi: 10.3390/su142315585
    [20]
    LI S,XU K,XUE G,et al. Prediction of coal spontaneous combustion temperature based on improved grey wolf optimizer algorithm and support vector regression[J]. Fuel,2022,324:124670. doi: 10.1016/j.fuel.2022.124670
  • Cited by

    Periodical cited type(16)

    1. 段瑞威. 基于知识图谱的煤矿安全风险管控方法. 工矿自动化. 2025(06)
    2. 马晟翔,姜伟,何宇鹏,王艺清,周煜乐. 基于Grey-DEMATEL-ISM法的煤矿企业安全管理影响因素研究. 安全. 2025(02): 50-56 .
    3. 邓飞. 煤矿安全监控系统研究现状与展望. 矿业安全与环保. 2025(01): 14-19+29 .
    4. 赵晋. 基于PCA-CRITIC-KIC耦合方法的煤矿安全生产管理评价模型. 科技与创新. 2025(06): 16-18+23 .
    5. 曲越,李绍良,张磊,付翔,王朋飞,吕月. 基于数据驱动的工作面采煤设备数字孪生系统研究与应用. 自动化应用. 2025(07): 121-124+128 .
    6. 耿振,李茂政,王世聪,张家祥. 市政工程EPC联合体安全管理优化提升的实践与探索. 价值工程. 2025(16): 10-13 .
    7. 梁清. 双重预防机制构建理论与实务探究. 安全. 2024(01): 51-58 .
    8. 王佳斌,李国清,强兴邦,白云龙,王秋玲,赵威. 基于双重预防体系的矿山安全风险智能分析系统. 金属矿山. 2024(01): 99-108 .
    9. 贺仁华,黄林兰. 基于数字孪生的露天金属矿安全管理研究. 价值工程. 2024(07): 10-12 .
    10. 邢震. 面向智能矿山的数字孪生技术研究进展. 工矿自动化. 2024(03): 22-34+41 .
    11. 王学文,刘曙光,王雪松,谢嘉成,刘京铨,王禧龙. 面向多人-多机复杂协作任务的煤矿XR智能运维系统. 煤炭学报. 2024(04): 2124-2140 .
    12. 周建. 基于“一通三防”的矿井智能管控技术研究与应用. 中国煤炭. 2024(06): 59-66 .
    13. 王宁. 矿井变电站无人巡检技术研究及应用分析. 西部探矿工程. 2024(12): 99-101 .
    14. 胡建华,吴友楠,马凤成,肖红星,赵祥波. 矿山安全双控预防性机制信息化平台设计与实现. 黄金科学技术. 2024(06): 1116-1129 .
    15. 张志刚,张庆华,刘军. 我国煤与瓦斯突出及复合动力灾害预警系统研究进展及展望. 煤炭学报. 2024(S2): 911-923 .
    16. 张娜,冯套柱,郭道燕. 能源矿山稳定风险网络结构特征. 西安科技大学学报. 2023(03): 586-592 .

    Other cited types(10)

Catalog

    Article views (245) PDF downloads (198) Cited by(26)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return