High rise building steel structure monitoring and energy efficiency optimization based on BIM and strain sensor vibration signal processing

Authors

  • Xuan Sha Southeast University Chengxian College
  • Xu Zhang ZhongMing LingChuang(Jiangsu)Design Co, Ltd.

DOI:

https://doi.org/10.4108/ew.6560

Keywords:

BIM, Strain sensor, Vibration signal processing, High-rise buildings, Steel structure monitoring, Energy efficiency optimization

Abstract

With the widespread application of high-rise building steel structures in modern cities, the safety and stability of their structures have attracted much attention. Traditional structural monitoring methods have problems such as limited monitoring range and insufficient real-time performance, and structural monitoring methods based on BIM technology and strain sensors have become key technologies to solve these problems. This study explores a monitoring method for high-rise building steel structures based on BIM and strain sensor vibration signal processing, in order to improve monitoring efficiency and accuracy, and ensure the safe operation of building structures. Research the use of BIM technology for three-dimensional modeling of high-rise building steel structures, achieving accurate description of structural parameters and arrangement of monitoring points. By deploying strain sensors at critical locations, real-time vibration signal data of the structure is collected. Finally, signal processing methods are used to analyze and process the collected data, extracting the dynamic characteristics of the structure. Through experimental verification, the monitoring method based on BIM and strain sensors can achieve real-time monitoring and accurate evaluation of high-rise building steel structures.

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Published

22-08-2024

How to Cite

1.
Sha X, Zhang X. High rise building steel structure monitoring and energy efficiency optimization based on BIM and strain sensor vibration signal processing. EAI Endorsed Trans Energy Web [Internet]. 2024 Aug. 22 [cited 2024 Dec. 22];11. Available from: https://publications.eai.eu/index.php/ew/article/view/6560