Skip to main content

Design of Geological Disaster Monitoring and Early-Warning System for Mountainous Nuclear Facilities

  • Conference paper
  • First Online:
Nuclear Power Plants: Innovative Technologies for Instrumentation and Control Systems (SICPNPP 2018)

Abstract

According to the types of geological disasters such as landslides and mudslides that are prone around mountainous nuclear facilities, the design principles of “progressiveness, stability and reliability, convenience for expansion, economy and practicality, and security and confidentiality” were proposed; slope shallow displacement, slope deep displacement and local rainfall were selected as the monitoring indicators; and then, a geological disaster monitoring and early-warning system for mountainous nuclear facilities was designed to provide technical support for improving the safety management level of mountainous nuclear facilities. The system has been put into trials at several high-risk slopes in some mountainous nuclear facilities to carry out further experimental research and improvement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Connor, C.B.: A quantitative literacy view of natural disasters and nuclear facilities. Numeracy 4(2) (2011)

    Google Scholar 

  2. Guo, R.P., et al.: Risk Assessment of Respond of Nuclear Power Plant to Natural Disasters. Henan Science (2012)

    Google Scholar 

  3. Zhou, X.: Prevention of natural disaster in Qinshan nuclear power plant. Nucl. Saf. (2017)

    Google Scholar 

  4. Dong, Y., et al.: Geological disaster monitoring and early-warning information management system in three gorges reservoir area. Saf. Environ. Eng. (2008)

    Google Scholar 

  5. Huang, H.F.: Application of geological disaster technical monitoring and early-warning information integration in three gorges reservoir area based on google earth. J. Anhui Agric. Sci. (2010)

    Google Scholar 

  6. Xu, P.B.: The network emergency research on geological disaster monitoring and early warning in three gorges reservoir areas. J. China Three Gorges Univ. (2011)

    Google Scholar 

  7. Hong, X., et al.: Research on the automatic monitoring early-warning system based on wireless sensor networks for geological disaster. Microcomput. Appl. (2011)

    Google Scholar 

  8. Yuan, H., et al.: Geological disaster on-line real-time monitoring and early-warning system research based on the flex viewer framework. J. Nat. Disasters (2013)

    Google Scholar 

  9. Yuan, H., et al.: The all-time geological disaster monitoring and early warning with mobile terminal. Inf. Technol. (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zuo-Ming Zhu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhu, ZM. et al. (2019). Design of Geological Disaster Monitoring and Early-Warning System for Mountainous Nuclear Facilities. In: Xu, Y., Xia, H., Gao, F., Chen, W., Liu, Z., Gu, P. (eds) Nuclear Power Plants: Innovative Technologies for Instrumentation and Control Systems. SICPNPP 2018. Lecture Notes in Electrical Engineering, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-13-3113-8_31

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3113-8_31

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3112-1

  • Online ISBN: 978-981-13-3113-8

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics