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Streamlining Sensor Registration and Updating Process in a BIM-Based Digital Twin

12 pagesPublished: August 28, 2025

Abstract

In response to the global climate crisis, managing building energy usage to achieve energy efficiency and low carbon emissions is becoming increasingly important. With the help of Digital Twin technology, building energy data can be collected, analyzed, and simulated for more efficient building operations. However, sensor registration and updating still lack an integrated process, resulting in ineffective collaboration between equipment providers and building managers, and further data maintenance issues. To address this situation, we propose a streamlined collaboration and management platform, realized through the Application Programming Interfaces (APIs) of Autodesk Platform Services (APS) and Building Information Modeling (BIM). This platform aims to integrate the complex processes of constructing digital twins, including sensor registration, spatial coordinate management, energy data collection, and updates. At the same time, a streamlined user interface is designed to enable a cohesive and integrated workflow, facilitating data updates and maintenance for building managers in the future and reducing the difficulty of developing and maintaining digital twins.

Keyphrases: building information modeling (bim), data integration, digital twin, internet of things (iot)

In: Jack Cheng and Yu Yantao (editors). Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, pages 720-731.

BibTeX entry
@inproceedings{ICCBEI2025:Streamlining_Sensor_Registration_Updating,
  author    = {Cheng-Wen Fu and Tzong-Hann Wu and Yun-Tsui Chang and Shang-Hsien Hsieh},
  title     = {Streamlining Sensor Registration and Updating Process in a BIM-Based Digital Twin},
  booktitle = {Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics},
  editor    = {Jack Cheng and Yu Yantao},
  series    = {Kalpa Publications in Computing},
  volume    = {22},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/lWXf},
  doi       = {10.29007/g5wk},
  pages     = {720-731},
  year      = {2025}}
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