| 煤矿机电设备运行状态大数据管理平台设计 |
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| 引用本文： | 曹现刚,张鑫媛,吴少杰. 煤矿机电设备运行状态大数据管理平台设计[J]. 煤炭工程, 2020, 52(2): 22-26. DOI: 10.11799/ce202002006 |
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| 作者姓名： | 曹现刚 张鑫媛 吴少杰 |
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| 作者单位： | 西安科技大学 |
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| 摘 要： | 针对目前煤矿机电设备运行状态数据量大、关系复杂且利用率低的现状，提出了一种基于Hadoop的煤矿机电设备运行状态大数据管理平台，整合企业资源数据和设备状态监测数据，建立适用于煤矿机电设备的大数据专用模型。对高通量数据管理技术、多源数据融合技术、并行化数据处理技术及数据可视化技术进行研究，并结合实际需求对数据管理分析平台的原型进行设计和开发。实验表明，该平台可实现对煤矿机电设备状态大数据的高效管理，为数字矿山的建设奠定了基础。
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| 关 键 词： | 煤矿机电设备 数据描述 分布式存储 并行化数据处理 Hadoop |
| 收稿时间： | 2018-10-22 |
| 修稿时间： | 2019-01-09 |
Design of big data management platform for operation status of coal mine electromechanical equipment |
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| Abstract: | The data of Coal mine enterprises software and equipments have been daily increasing at TB level. Such massive data promotes coal mine enterprises to enter the era of big data. Aiming to solve the problem that coal mine enterprises cannot use these data efficiently better, a Hadoop based analysis and management platform for big data of coal mine enterprises is proposed, the enterprise resource system data and equipment monitoring status data are integrated and a special model suitable for coal mine enterprise big data is established. The platform uses distributed technology to store and process data and visualize the processing results, and design and develop data management system prototypes based on actual needs. The results show that the proposed platform can realize the integration of massive data of coal mine enterprises, which breaks the “information island” inside the enterprise, realize the efficient sharing and utilizing of data, reduce the failure rate of equipment, improve the operation and maintenance efficiency of coal mine enterprises. |
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