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作 者:汪杰 王春华 李晓华 余克莉莎[1,2] WANG Jie;WANG Chun-hua;LI Xiao-hua;Yu Kelisha(Guizhou Institute of Mine Safety Science,Guiyang 550025,China;Guizhou Coal Mine Design and Research Institute Co.,Ltd.,Guiyang 550025,China;School of Safety,Henan University of Technology,Jiaozuo 454003,China)
机构地区:[1]贵州省矿山安全科学研究院,贵州贵阳550025 [2]贵州省煤矿设计研究院有限公司,贵州贵阳550025 [3]河南理工大学安全学院,河南焦作454003
出 处:《煤炭工程》2021年第9期187-192,共6页Coal Engineering
基 金:贵州省科技厅黔科合平台人才([2016]5716);贵州省科技厅黔科合资([2018]001);贵州省科技厅黔科合资([2019]001);贵州省科技厅黔科合资([2020]001);国家安全生产监督管理总局安全生产科技项目(guizhou-0005-2017AQ)。
摘 要:为解决煤炭行业大数据存储、共享及处理与分析等难题,进而提升煤炭行业管理和辅助决策水平,以贵州煤矿智能化升级改造为契机,通过文献研究、现场调研、专家咨询等方法,基于B/S结构设计了由数据采集层、平台支撑层、应用层及访问层组成的煤炭行业大数据分析云平台总体架构,并详细阐述了煤矿辅助生产系统智能化实时数据上云方案,同时构建了包括煤炭分布、煤炭规划、调度统计、预测预警、远程监控、科技创新等六大功能模块,最后按照总体设计方案搭建了煤炭行业大数据分析云平台,实现了对煤炭行业中煤炭分布、规划、调度等进行了全面监测和管理。应用效果表明,平台能够为政府监管部门、煤炭企业管理、科研机构及煤炭消费者等提供有效的数据支撑。In order to solve the problems of big data storage, sharing, processing and analysis in the coal industry, and improve the management and auxiliary decision-making level of coal industry, we took the intelligent upgrading and transformation of Guizhou coal mines as an opportunity, and designed the overall architecture of the coal industry big data analysis cloud platform based on the B/S structure using literature research, field research, expert consultation and other methods, which was consisted of data acquisition layer, platform support layer, application layer and access layer. The intelligent real-time data cloud platform for coal mine auxiliary production system was elaborated. Six functional modules including coal distribution, coal planning, scheduling statistics, forecasting and early warning, remote monitoring, and technological innovation were built. Finally, a big data analysis cloud platform for the coal industry was established according to the overall design plan, realizing the comprehensive monitoring and management of coal distribution, planning, and scheduling in the coal industry. The application effect shows that the platform can provide effective data support for government regulatory agencies, coal enterprise management, scientific research institutions and coal consumers.
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