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作者:

Zhang, Yu (Zhang, Yu.) | Wang, Yange (Wang, Yange.) | Ding, Hongwei (Ding, Hongwei.) | Li, Yongzhen (Li, Yongzhen.) | Bai, Yanping (Bai, Yanping.)

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EI Scopus

摘要:

At present, energy saving and emission reduction had become a problem of great concern for mankind. At the same time, there were some problems in the mining industry, such as waste of resources, low efficiency and easy occurrence of industrial accidents. Therefore, this paper had designed a deep well construction big data platform. The high precision and bear great pressure sensors were added to the system to solve the difficult problem of collecting information in deep wells by ordinary sensors. The multi-source heterogeneous data fusion algorithm was added to the system to solve the problem that the format of the data acquisition was different. In conclusion, the completion of the platform could achieve data monitoring in the process of mines. It not only helps to enhance the safety of mine construction, but also provides data analytical tools for further theoretical research of mine construction. © 2019 Inderscience Enterprises Ltd.

关键词:

Big data Data acquisition Data fusion Emission control Energy conservation Industrial hygiene Occupational diseases Oil field development

作者机构:

  • [ 1 ] [Zhang, Yu]School of Electrical and Information Engineering, Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Xicheng District, Beijing; 100044, China
  • [ 2 ] [Zhang, Yu]State Key Laboratory in China for GeoMechanics and Deep Underground Engineering (Beijing), China University of Mining and Technology, No. 16 Qinghua Road, Haidian District, Beijing; 100083, China
  • [ 3 ] [Zhang, Yu]School of Software, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Wang, Yange]School of Electrical and Information Engineering, Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Xicheng District, Beijing; 100044, China
  • [ 5 ] [Ding, Hongwei]School of Electrical and Information Engineering, Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Xicheng District, Beijing; 100044, China
  • [ 6 ] [Li, Yongzhen]School of Software, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Li, Yongzhen]Network Information Center, Beijing University of Civil Engineering and Architecture, Beijing; 100044, China
  • [ 8 ] [Bai, Yanping]College of Management, Capital Normal University, Beijing; 100048, China

通讯作者信息:

  • [bai, yanping]college of management, capital normal university, beijing; 100048, china

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来源 :

International Journal of Internet Manufacturing and Services

ISSN: 1751-6048

年份: 2019

期: 4

卷: 6

页码: 371-388

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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