Advertisement

Intelligent Management of Chemical Industry Parks Based on Big Data

  • Cheng ChengEmail author
  • Jinbo Wu
Conference paper
  • 26 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)

Abstract

Big data technology has become a hot research area and has expanded into the field of public safety. Public safety big data uses satellite data for large-scale detection, aerial data for regional abnormality inspections, and ground sensor data for abnormal target positioning, which can realize the prediction and early warning of public safety events. This article focuses on the application of skyland big data in the chemical park, and builds the chemical industry park’s personnel management system, vehicle management system, perimeter management system, and fire accident warning system. The construction of a big data system application demonstration in the chemical park assists the construction of the park. Become a smart chemical park.

Keywords

Big data Public safety Intelligent control 

Notes

Acknowledgement

This work is supported by National Key R&D Program of China (No. 2018YFB1004605).

References

  1. 1.
    Lin, C.: Application of big data technology in petrochemical field. Technol. Econ. Guide 26(29), 39 (2018)Google Scholar
  2. 2.
    Dou, S., Zhang, G., Xiong, Z., et al.: Dangerous situation awareness in chemical parks based on multi-source data fusion. J. Chem. Ind. Eng. (China) 70(02), 40–46+369 (2019)Google Scholar
  3. 3.
    Cheng, C., Zhao, B.: Intelligent counter-terrorism equipment status and development. In: International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018, pp. 318–325 (2018). ISBN 978-3-319-98775-0Google Scholar
  4. 4.
    Cheng, C., Zhao, B.: Prospect of application of hyperspectral imaging technology in public security. In: International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018, pp. 299–305 (2018). ISBN 978-3-319-98775-0Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.The Third Research Institute of the Ministry of Public SecurityShanghaiChina

Personalised recommendations