煤矿智能安全管控大数据平台研究与应用

Research and Application of Big Data Platform for Coal Mine Intelligent Safety Control

当前煤矿安全管控大数据平台的建设应用多侧重于数据多存快取和常规统计分析,极少达到发掘数据深层价值的层次。基于此提出了一种以大数据技术为支撑,以知识图谱融合业务建模技术为中枢的煤矿智能安全管控大数据平台架构体系;提出了安全管控平台应用功能的组成结构;研究并实践了安全管控业务图谱构建、业务模型电子化和数据自适配接入三项关键技术,为矿山安全管控平台的构建提供新的思路和参考模式。

At present, the construction and application of the big data platform for coal mine safety management and control mostly focus on data multi storage and caching and conventional statistical analysis, rarely reaching the level of exploring the deep value of data. Based on this, a big data platform architecture system of coal mine intelligent security management and control is proposed,which is supported by big data technology and centered on knowledge graph fusion business modeling technology. The structure of the application function of the security management and control platform is proposed. Three key technologies, namely, the construction of security management and control business atlas, the electronization of business model and data adaptive access, were studied and practiced,providing new ideas and reference models for the construction of the mine security management and control platform.