基于云计算的矿井瓦斯预警研究  

Research on Mine Gas Early Warning Based on Cloud Computing

作　　者：马越 米捷[3] IA Yue;MI Jie(Xinyang Radio and Television University, Xinyang 464000, China;College of Computer Science and Technology, Xinyang Normal University, Xinyang 464000, China;School of Computer Science, Henan University of Engineering, Zhengzhou 451191, China)

机构地区：[1]信阳广播电视大学,河南信阳464000 [2]信阳师范学院计算机科学与技术学院,河南信阳464000 [3]河南工程学院计算机学院,郑州451191

出　　处：《煤炭技术》2018年第7期213-215,共3页Coal Technology

摘　　要：在充分研究矿井瓦斯预警系统存在的问题后,利用云计算模式建立了瓦斯预警系统,解决了预警系统资源不能共享和计算量过大的问题,保障了预警系统的稳定运转。基于云计算的瓦斯预警系统主要由4层结构组成,数据处理层利用虚拟化的软件建立虚拟资源,解决了数据存储过大导致的CPU占用过大的问题,客户端多样化的访问方式使得系统更加灵活与智能。为了解决运算时间过长的问题,研究了云计算资源的合理分配机制,优化了系统性能。After fully studying the problems existing in the mine gas warning system, a gas warning system was established using the cloud computing model, which solved the problem that the warning system resources could not be shared and the calculation was too large,it has ensured the stable operation of the early warning system. The cloud-based gas warning system is mainly composed of a four-layer structure,the data processing layer uses virtualized software to create virtual resources, which has solved the problem of excessive CPU consu-mption caused by excessive data storage,the client＇s diversified access methods make the system more flexible and smarter. In order to solve the problem of long computing time, the rational allocation mechanism of cloud computing resources was studied and the system performance was optimized.

关 键 词：瓦斯预警 云计算 虚拟资源 

分 类 号：TD712[矿业工程—矿井通风与安全]