Research status and application prospect of big data technology in coal industry
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摘要: 在总结煤炭大数据大容量、快速性、多样性、真实性、可见性、价值等特征的基础上，从煤炭大数据理论、煤炭大数据与物联网和云计算的关系、煤炭大数据平台建设方面介绍了煤炭大数据研究现状；分析了煤炭大数据的多层面不均匀采样性、多时间尺度特性、不真实数据混杂性等新特点及其对煤炭大数据分析带来的挑战；从大数据采集与管理、大数据分析、大数据共享方面对建设煤炭大数据平台功能进行了展望，并从应用领域探讨了大数据技术在煤炭工业中可能的发展方向。Abstract: On the basis of characteristic of coal big data such as volume, velocity, variety, veracity, visibility and value, research status of coal big data was introduced from aspects of theory of coal big data, relationship among coal big data, Internet of things and cloud computing, and construction of coal big data platform. New features of coal big data such as multi-layer non-uniform sampling, multi-time scale characteristic and non-veracity data confounding, and challenge of coal big data analysis caused by the new features were analyzed. Functions of coal big data platform were prospected from aspects of big data collection and management, big data analysis and big data sharing. Possible development direction of big data technology in coal industry was discussed from application field.
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Keywords:
- coal industry /
- big data /
- Internet of things /
- cloud computing /
- coal big data platform
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期刊类型引用(4)
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4. 姚纪凯. 近浅埋煤层立井施工注浆过承压含水层技术应用. 陕西煤炭. 2021(05): 147-150+179 . 百度学术
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