Skip to main content

Integrated Application Technology of Intelligent Collision Detection and Relocation of Underground Pipe Network in Urban Core Area

  • Conference paper
  • First Online:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020)

Abstract

This paper presents an integrated technology of intelligent collision detection and relocation of underground pipe network in urban core area. Firstly, two steps of fast positioning and accurate intersection are used to realize the fast collision detection of pipelines; secondly, through the comprehensive linkage analysis of spatial data, supplemented by the distribution law of underground pipelines, the automatic relocation of pipelines is realized, so that the final spatial model distribution of underground pipelines is more scientific, objective and reasonable; finally, the technical results are applied to the actual project, through the on-site excavation verification of the impact point of the lower pipeline shows the reliability and practicability of the technology, and makes a good technical reserve for the future urban fine management and urban renewal.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Liu, K.: Development Report on urban underground pipeline in China. China Architecture & Building Press, Beijing (2017)

    Google Scholar 

  2. Yong, W.: Research and application of urban underground pipeline detection technology. Jilin University (2012)

    Google Scholar 

  3. Ding, P., Li, Z., et al.: Research on key technologies of urban underground pipeline information system. Bull. Surv. Mapp., 102–105 (2015)

    Google Scholar 

  4. Qiang, Y.E.: Application of BIM technology in building electrical engineering. Intell. Build. City Inf. 7, 56–57 (2020)

    Google Scholar 

  5. Song, M., Li, J.: Research on the application of BIM technology in the pipeline collision of metro engineering. Sichuan Build. Mater., 158–159 (2018)

    Google Scholar 

  6. Wang, X., Miaoyan, H.: Study and practice of pipeline synthesis technology optimization based on BIM technique. Zhongzhou Coal, 23–29 (2017)

    Google Scholar 

  7. Sampaio, A.Z., Berdeja, E.: Collaborative BIM environment as a support to conflict analysis in building design. In: 2017 4th Experiment@International Conference, pp. 77–82 (2017)

    Google Scholar 

  8. Zhang, Z., Li, L., et al.: Collision analysis research of the urban underground pipeline network based on ArcEngine. Geomatics Spat. Inf. Technol., 130–135 (2012)

    Google Scholar 

  9. Lian, G., Kouet, F., et al.: Design and implement the algorithm of pipeline collision analysis based on ArcEngine. Urban Geotech. Invest. Surv., 96–99 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gu, X., Zhang, X. (2021). Integrated Application Technology of Intelligent Collision Detection and Relocation of Underground Pipe Network in Urban Core Area. In: Meng, H., Lei, T., Li, M., Li, K., Xiong, N., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-70665-4_86

Download citation

Publish with us

Policies and ethics