Research and Prospect of Foundation Pit Monitoring and Early Warning Based on CiteSpace

DOI

10.2991/978-94-6463-688-8_52How to use a DOI?

Keywords

CiteSpace; deep foundation pit; monitoring and early warning; intelligent

Abstract

This paper discusses the research progress in the field of deep foundation pit monitoring and early warning in China. This paper uses CiteSpace software to analyze the literature data of CNKI, and reveals the research context, hot spots and frontier trends in the field of foundation pit monitoring and early warning. Keyword clustering and burst word extraction show that artificial neural network and intelligent construction site have become research hotspots. The research results of this paper show that the future development direction of foundation pit monitoring and early warning is intelligent, which will greatly improve the safety of foundation pit engineering construction and further help the transformation and upgrading of the construction industry.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaoguang Li
AU  - Shiji Wang
AU  - Ziwang Yu
PY  - 2025
DA  - 2025/04/30
TI  - Research and Prospect of Foundation Pit Monitoring and Early Warning Based on CiteSpace
BT  - Proceedings of the 2024 6th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2024)
PB  - Atlantis Press
SP  - 518
EP  - 530
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-688-8_52
DO  - 10.2991/978-94-6463-688-8_52
ID  - Li2025
ER  -