Research on the Construction of Traditional Village Intelligent Model based on CIM
- DOI
- 10.2991/978-94-6463-372-6_38How to use a DOI?
- Keywords
- CIM; Village Protection; Intelligent Model; Traditional Village
- Abstract
With the development of BIM, GIS and IoT technologies, CIM technology is becoming increasingly mature. CIM technology provides new ideas to address the preservation and renewal of traditional villages. Taking Beishan Village of Zhuhai City as the research object, this paper sorted out its CIM construction ideas, and divided its CIM construction process into three parts: information data board, online platform boardand offline equipment board. In the information data board this paper will improve the geometric information collection process based on TLS technology; In the online platform board this paper will design four user layers: government, professionals, enterprises and institutions, and the public; and in the offline equipment board this paper will set up an external sensing system to provide real-time dynamic data for CIM. It is hoped that these studies can provide some references for the realization of comprehensive intelligent systems in the future.
- Copyright
- © 2024 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
TY - CONF AU - Linghan Yao AU - Xiaoyi Wang PY - 2024 DA - 2024/02/12 TI - Research on the Construction of Traditional Village Intelligent Model based on CIM BT - Proceedings of the 2023 5th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2023) PB - Atlantis Press SP - 410 EP - 417 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-372-6_38 DO - 10.2991/978-94-6463-372-6_38 ID - Yao2024 ER -