TY - GEN
T1 - Integrating Point Cloud in BIM for Enhancing Building Facility Management
T2 - 7th International Conference on Civil Engineering and Architecture, ICCEA 2024
AU - Yang, Tianlun
AU - Kapogiannis, Georgios
AU - Guo, Jiequn
AU - Wang, Zuyao
AU - Kang, Byung Gyoo
AU - Hu, Zhenyu
AU - Wu, Yanhui
AU - Woldemariam, Michael
AU - Yao, Anhai
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This research addresses how to improve the Asset Information Model (AIM) for MEP operations during BIM implementation in building facility management. The proposed point cloud-integrated AIM enhances Facilities Management (FM) team understanding, thereby improving efficiency and quality in building operations. The point cloud model functions like Augmented Reality (AR), integrating physical entities into the virtual environment. The innovation of this research lies in developing a new workflow for creating a point cloud-integrated AIM for MEP operations, adhering to ISO 19650 criteria. This workflow starts with Organization Information Requirements (OIR), proposes Project Information Requirements (PIR) and Asset Information Requirements (AIR), and guides the development of the Project Information Model (PIM) to achieve an AIM. Utilizing various technologies and tools based on BIM Standards, Methods, and Procedures (SMPs), the workflow follows the People, Process, and Technologies framework. A mixed-methods approach was employed: a literature review to identify key AIRs and evaluate point cloud technologies, and a design intervention using drones and SLR cameras, processed with RealityCapture and Autodesk ReCap. The workflow was tested in a real project at the Ningbo China Institute for Supply Chain Innovation (NISCI). Results demonstrated the workflow's effectiveness in enhancing the AIM's accuracy, efficiency, and usability for MEP facility management. The cost-effective workflow is suitable for SMEs and does not require high-performance computers for model review. This research provides valuable insights for the AEC industry, improving AIM quality and supporting FM operations.
AB - This research addresses how to improve the Asset Information Model (AIM) for MEP operations during BIM implementation in building facility management. The proposed point cloud-integrated AIM enhances Facilities Management (FM) team understanding, thereby improving efficiency and quality in building operations. The point cloud model functions like Augmented Reality (AR), integrating physical entities into the virtual environment. The innovation of this research lies in developing a new workflow for creating a point cloud-integrated AIM for MEP operations, adhering to ISO 19650 criteria. This workflow starts with Organization Information Requirements (OIR), proposes Project Information Requirements (PIR) and Asset Information Requirements (AIR), and guides the development of the Project Information Model (PIM) to achieve an AIM. Utilizing various technologies and tools based on BIM Standards, Methods, and Procedures (SMPs), the workflow follows the People, Process, and Technologies framework. A mixed-methods approach was employed: a literature review to identify key AIRs and evaluate point cloud technologies, and a design intervention using drones and SLR cameras, processed with RealityCapture and Autodesk ReCap. The workflow was tested in a real project at the Ningbo China Institute for Supply Chain Innovation (NISCI). Results demonstrated the workflow's effectiveness in enhancing the AIM's accuracy, efficiency, and usability for MEP facility management. The cost-effective workflow is suitable for SMEs and does not require high-performance computers for model review. This research provides valuable insights for the AEC industry, improving AIM quality and supporting FM operations.
KW - AIM
KW - BIM
KW - Facility Management
KW - Photogrammetry
KW - Point Cloud
UR - http://www.scopus.com/inward/record.url?scp=105005480994&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-6115-2_15
DO - 10.1007/978-981-96-6115-2_15
M3 - Conference contribution
AN - SCOPUS:105005480994
SN - 9789819661145
T3 - Lecture Notes in Civil Engineering
SP - 192
EP - 207
BT - Proceedings of 7th International Conference on Civil Engineering and Architecture, Volume 1 - Proceedings of ICCEA 2024
A2 - Kang, Thomas
A2 - Lee, Youngjin
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 7 December 2024 through 9 December 2024
ER -