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作 者:吴东领[1] 刘心军[2] WU Dongling;LIU Xinjun(Tangshan Vocational&Technical College,Tangshan 063000,China;Tangshan Institute of Science and Technology,Tangshan 063000,China)
机构地区:[1]唐山职业技术学院,河北唐山063000 [2]唐山科技职业技术学院,河北唐山063000
出 处:《煤炭技术》2023年第7期213-216,共4页Coal Technology
摘 要:以智能矿井多元监控数据集成关键技术为研究的切入点。首先分析井下数据集成需要解决的关键问题,如:数据采集规范化、数据融合规范等。接着,针对这些问题制定出智能矿井多元监控数据集成方案,并针对智能矿井多元监控数据集成关键技术进行更为深入的探讨,认为采用多线程技术可有效实现煤矿监控系统的海量数据采集。利用主数据技术对各种数据资源进行整合等内容。经实践验证围绕数据采集、数据融合、数据存储3个方面来进行关于智能矿井多元监控数据集成的建设,不仅能达到数据高效率应用、存储,并且还能确保数据的安全性和生产的顺利。Takes the key technology of intelligent mine multi-element monitoring data integration as the research entry point.Firstly,the key problems to be solved in downhole data integration are analyzed,such as data acquisition standardization and data fusion standardization.Then,aiming at these problems,formulates a multi-element monitoring data integration scheme for intelligent mines,and further discusses the key technologies of multi-element monitoring data integration for intelligent mines.It is believed that the multithreading technology can effectively realize the massive data collection of the coal mine monitoring system.The main data technology is used to integrate various data resources.It has been verified by practice that the construction of multi-element monitoring data integration in intelligent mines around three aspects of data collection,data fusion and data storage can not only achieve efficient application and storage of data,but also ensure the safety of data and the smooth production.
分 类 号:TD76[矿业工程—矿井通风与安全]
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