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智能矿井安全生产大数据集成分析平台及其应用

Research and application on big data integration analysis platform forintelligent mine safety production

  • 摘要: 针对智能矿井建设需要监控实时化、系统集成化、数据海量化、控制协同化和决策在线化的实际需求,提出建立高度集成的大数据分析平台,为决策支持和协同管控服务。在阐述煤矿大数据特征的基础上,提出了服务于智能开采的大数据集成分析平台设计的具体要求,并对“一张图”协同管理、平台技术架构和数据处理流程进行了阐述;设计了由设备感知层、数据资源层、平台服务层、大数据分析应用层构成的系统总体架构;研究了数据集成、知识集成等技术,开发了包括煤矿安全状况评估打分子系统、煤矿安全问题推理解释子系统、诊断任务配置与管理子系统在内的安全生产大数据动态诊断系统。安全生产大数据集成分析平台在山东能源临沂矿业集团有限责任公司示范矿区进行了全面应用,并已运行1年多,实践结果表明,该平台运行稳定可靠、效果显著。

     

    Abstract: Intelligent mine requires real-time monitor and control, multi-system integration, massive data management, collaborative control and online decision making. A highly integrated big data analysis platform for mine decision support and collaborative control is provided. This paper explains the typical characteristics of big data in coal mine, presents the basic requirements of big data analysis integration platform for intelligent mining, elaborates the GIS “one map” collaboration management, the technology architecture of platform and data process workflow. The paper also designs the overall architecture of the system including device perception layer, data resource layer, platform service layer and big data analysis application layer, studies the technologies of data integration and knowledge integration, and develops a big data dynamic diagnosis system which include three parts: coal mine work safety evaluation and marking system, coal mine safety deducing and interpreting system, diagnosis task configuration and management system. Big data integration analysis platform for safety production has been applied in the demonstration mine of Shandong Energy Linyi Mining Group Co.,Ltd., Shandong Province. The platform has been running for more than one year. The application results show that the platform is stable, reliable and effective.

     

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