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曹允钦. 基于云计算和物联网的煤矿安全动态诊断系统研究[J]. 煤炭科学技术, 2016, (7).
引用本文: 曹允钦. 基于云计算和物联网的煤矿安全动态诊断系统研究[J]. 煤炭科学技术, 2016, (7).
Cao Yunqin. Study on dynamic diagnosis system of mine safety based on cloud computing and internet of things[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Citation: Cao Yunqin. Study on dynamic diagnosis system of mine safety based on cloud computing and internet of things[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).

基于云计算和物联网的煤矿安全动态诊断系统研究

Study on dynamic diagnosis system of mine safety based on cloud computing and internet of things

  • 摘要: 针对目前煤矿信息化建设体制不健全,安全管理决策方式落后等现象,以田陈煤矿为研究对象,构建了煤矿安全动态诊断系统。该系统以云计算、物联网、数据挖掘技术为支撑,综合集成采掘机运通等专业、人机环管四要素、时间和空间、历史和现势的在线以及日常业务数据,基于动态三维虚拟矿井平台,对煤矿安全生产的各类信息进行展示、分析、推理,挖掘历史数据中蕴含的模式和知识,诊断并概括现势安全状态,分析潜在危害因子,有效预测矿井灾害,最终降低煤矿安全生产事故的发生,实现煤矿安全管理的信息化。

     

    Abstract: According to the imperfect construction system of the mine information.backward mine safety management decision making mode and other phenomenon.based on Tianchen Mine as the study object a dynamic diagnosi system of the mine safety was esablished. with the cloud computing intenet ofthings and data mining technology as the supporthe diagnosis system comprehensivly inegrated th conine and dal busimess data of the mining and excavation machiney ransporaton.,communication and other techrology.the marn-machineenvironment-management our factors,the time and space,history and presen situation.Based on the dynanmi:D wirual mine platform adisplay.analysis and inference were conducted on each information ofthe mine safety producton the mode and acknowledge contained in thehistorical data were mined,the present safety status were diagnosed and summarized and the potential danger factors were analyzed.The mine disaster was effectively predicted,the safety production accident occurred in the mine was finally reduced and the mine safety management information was realized.

     

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