The remote wireless monitoring system for raft foundation of super high-rise building based on IoT
- DOI
- 10.2991/978-94-6463-372-6_31How to use a DOI?
- Keywords
- remote wireless monitoring; NB-IoT; super high-rise building; cloud platform
- Abstract
In order to solve the lack of wireless transmission signal for structural health monitoring during the construction of raft foundation of super high-rise building, a remote wireless monitoring system was built for raft foundation of super high-rise building based on NB-IoT. It was composed of sensors, data acquisition and wireless transmission equipment, and monitoring cloud platform. The collected monitoring data could be remotely uploaded to the cloud platform through NB-IoT, thus the automatic acquisition, wireless transmission and remote monitoring of raft foundation monitoring for super high-rise building were realized and applied in engineering. The results showed that the remote monitoring system could play an active role in improving the safety management level during the construction of super-high-rise building.
- 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 - Shengfang Qiao AU - Fanliang Zeng AU - Hang Chen AU - Jing-qiang Hou AU - Mengxiong Tang AU - Hesong Hu AU - Minzhang Mei PY - 2024 DA - 2024/02/12 TI - The remote wireless monitoring system for raft foundation of super high-rise building based on IoT BT - Proceedings of the 2023 5th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2023) PB - Atlantis Press SP - 347 EP - 353 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-372-6_31 DO - 10.2991/978-94-6463-372-6_31 ID - Qiao2024 ER -