Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Research on Comprehensive Evaluation and Early Warning System of Ancient Building Health

Authors
Fulin Zhou1, Cheng Li1, *, Daihong Chen1, Zhaoxun Wang1, Hua Zhou1, Xukun Ou1, Xiaoyu Tan1
1Changchun Institute of Technology, Changchun, China
*Corresponding author. Email: li.cheng@ccit.edu.cn
Corresponding Author
Cheng Li
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_141How to use a DOI?
Keywords
protection of ancient buildings; sensor technology; 3D modeling; early warning platform
Abstract

At present, the protection of world cultural heritage has changed from passive protection based on rescue to active protection based on prevention. The traditional protection method of ancient architecture is to find the damage through on-the-spot observation, and then protect it. The information in the protection process is mainly saved by written records. Because of the insufficiency of the artificial measurement method, the subjectivity is strong, the frequency of collecting information is low, and it needs to spend manpower and material resources to collect data at the site of ancient buildings. Aiming at the sensitivity of the collected data and the visualization of the problem, this paper studies the application of the 3D reconstruction of the ancient building based on the angle sensor and the transmission analysis system, which aims at solving the problems of the complex, low efficiency, long period and high cost of the ancient building processing and the existing protection methods, and realizes the whole division of the ancient building reconstruction model, so that the damage situation is clear at a glance and can be directly displayed; and it has high application value in the ancient building protection.

Copyright
© 2023 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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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_141How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Fulin Zhou
AU  - Cheng Li
AU  - Daihong Chen
AU  - Zhaoxun Wang
AU  - Hua Zhou
AU  - Xukun Ou
AU  - Xiaoyu Tan
PY  - 2023
DA  - 2023/06/30
TI  - Research on Comprehensive Evaluation and Early Warning System of Ancient Building Health
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1335
EP  - 1343
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_141
DO  - 10.2991/978-94-6463-172-2_141
ID  - Zhou2023
ER  -