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作 者:陈茜 汤滢 CHEN Qian;TANG Ying(National Academy of Innovation Strategy,Beijing 100038,China;Zhongguancun Development Group,Beijing 100081,China)
机构地区:[1]中国科协创新战略研究院,北京100038 [2]中关村发展集团,北京100081
出 处:《煤炭工程》2024年第11期18-23,共6页Coal Engineering
基 金:国家科技重大专项“煤与煤层气协调开发模式优化决策研究”(2016ZX05045007-001)。
摘 要:为解决煤炭与煤层气开发的数据库资源和分析工具不足的难题,基于大数据技术协同计算和分布式存储原理,提出了煤矿区煤层气大数据分析管理平台设计方案,建立了基于云技术的大数据互联机制,构建了基于大数据挖掘技术的煤层气开发利用模型库。根据系统架构设计和功能设计,搭建了以Hadoop为核心框架的煤层气大数据平台,并在政府管理部门、煤炭企业开展了多元化的应用,打通了多元异构数据业务的信息壁垒,为煤与煤层气协调开发、煤层气开发利用合理布局提供了数据基础和决策依据。In order to solve the problem of insufficient database resources and analysis tools for coal and coalbed methane development,based on the principle of collaborative computing and distributed storage of big data technology,the design scheme of big data platform for coalbed methane was proposed,the big data interconnection mechanism based on cloud technology was established,and the coalbed methane development and utilization model base based on big data mining technology was constructed.According to the system architecture design and function design,a big data platform with Hadoop as the core framework was built,and diversified applications were carried out in government management departments and coal enterprises,providing data basis and decision-making basis for coordinated mining of coal and methane and rational layout of coalbed methane development and utilization.
分 类 号:TD76[矿业工程—矿井通风与安全]
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