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Design and Implementation of Sensory Data Collection and Storage Based on Hadoop Platform

  • Zhen BaiEmail author
  • Shaohua Cui
  • Chenglin Zhao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)

Abstract

At present, modern manufacturing and management concepts such as digitization, networking, and intelligence are widely used in the industry. Industry automation and information have been unprecedentedly improved, and therefore the entire life of industrial production link involves massive amounts of data, and the status monitoring data of industrial machine have large, multiple source, heterogeneous, and complex data characteristics. What is more, the traditional processing methods and tools could not meet the requirements for massive data, and may miss the best time to repair machine. So, to resolve the challenges that the industrial sensory big data faces, this paper proposes the sensory data collection and storage based on Hadoop platform.

Keywords

Hadoop platform Sensory data Data collection Data storage 

Notes

Acknowledgements

This work was funded by the National Intelligent Manufacturing Project.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Key Laboratory of Universal Wireless Communications, MOEBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.China Petroleum Technology & Development CorporationBeijingChina

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