...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Internet Manufacturing and Services >Deep well construction of big data platform based on multi-source heterogeneous data fusion
【24h】

Deep well construction of big data platform based on multi-source heterogeneous data fusion

机译：基于多源异构数据融合的大数据平台深度井建设

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

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.
机译：目前，节能减排已成为人类令人担忧的问题。 与此同时，采矿业有一些问题，如浪费资源，效率低，工业事故易发生。 因此，本文设计了深井建设的大数据平台。 在系统中添加了高精度和高压传感器，以解决普通传感器在深井中收集信息的难题。 系统中添加了多源异构数据融合算法，以解决数据采集格式不同的问题。 总之，该平台的完成可以在矿山过程中实现数据监测。 它不仅有助于提高矿井建筑的安全性，而且还提供了对矿井建筑进一步理论研究的数据分析工具。

著录项

  • 来源
  • 作者

    Yu Zhang; Yange Wang; Hongwei Ding; Yongzhen Li; Yanping Bai;

  • 作者单位

    School of Electrical and Information Engineering and Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture;

    School of Electrical and Information Engineering and Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture;

    School of Electrical and Information Engineering and Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture;

    School of Software Beijing University of Technology;

    College of Management Capital Normal University;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

    deep well; multi-source data fusion; big data;

    机译：深井;多源数据融合;大数据;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号