基于“六五五”工作框架的智能化隐患管理平台

    Intelligent hidden danger management platform based on “Six Checks and Five W’s” framework

    • 摘要: 为了响应国家关于煤矿智能化建设的政策号召,提升煤矿安全生产管理的效率和准确性,构建了基于“六五五”工作框架智能化隐患管理平台。该平台融合了“六查”工作机制和“五五分析法”,从多维度全面识别隐患,并深度分析追溯隐患根源,确保隐患排查整改工作的系统化、规范化和流程化。在平台构建过程中,详细设计了数据流模块、隐患排查整改工作模块和支撑模块。数据流模块通过智能化设备和API接口实现全面监控,显著提高了数据采集的效率和准确性;隐患排查整改工作模块通过闭环管理机制,确保了隐患排查整改工作的全流程闭合管理,有效提升了煤矿安全管理的规范性和执行力;支撑模块则为平台的高效运行提供了坚实的技术保障和基础的行动方法论。平台在潞安集团古城煤矿进行了应用,显著提升了隐患排查整改效率与准确性,重大事故发生率降低40%,矿长带队大检查通过率达100%。结果表明,基于“六五五”工作框架的智能化隐患管理平台能够有效提升煤矿安全生产管理水平,为智慧矿山隐患管理的数据治理工作提供了切实可行的操作方案,推动了煤矿安全生产的智能化进程。未来的研究将进一步深化人工智能技术在煤炭行业的应用,推动相关政策和标准的完善,拓展隐患管理平台的功能,为煤炭行业的智能化转型和可持续发展提供有力支持。

       

      Abstract: In response to the national policy call for the intelligent construction of coal mines and to enhance the efficiency and accuracy of coal mine safety production management, an intelligent hidden danger management platform was constructed based on “Six Checks and Five W’s” framework. This platform integrates the “Six Checks” working mechanism and the “Five W’s (Who, What, Where, When, Why)” analysis method to comprehensively identify hidden dangers from multiple dimensions and deeply analyze their root causes, ensuring the systematic, standardized, and procedural management of hidden danger investigation and rectification. During the platform construction process, the data flow module, the hidden danger investigation and rectification work module, and the support module were meticulously designed. The data flow module, through intelligent devices and API interfaces, achieves comprehensive monitoring, significantly improving the efficiency and accuracy of data collection. The hidden danger investigation and rectification work module, through a closed-loop management mechanism, ensures the full-process closed-loop management of hidden danger investigation and rectification, effectively enhancing the standardization and enforcement of coal mine safety management. The support module provides a solid technical guarantee and methodological foundation for the efficient operation of the platform. The application of the platform in Gucheng Coal Mine of Lu’an Group significantly improved the efficiency and accuracy of hidden danger investigation and rectification, reduced the incidence of major accidents by 40%, and achieved a 100% pass rate in major inspections led by the mine manager. The results indicate that the intelligent hidden danger management platform model based on the “Six Checks and Five W’s” framework can effectively enhance the level of coal mine safety production management, provide a feasible solution for data governance in hidden danger management of intelligent coal mines, and promote the intelligent process of coal mine safety production. Future research will further deepen the application of artificial intelligence technology in the coal industry, promote the improvement of relevant policies and standards, expand the functions of the hidden danger management platform, and provide strong support for the intelligent transformation and sustainable development of the coal industry.

       

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