This study was aimed at developing a building information modeling (BIM) process logger that can capture modeling process information as an event log file. BIM log mining is a research area that focuses on utilizing a massive amount of data created from BIM software usage. Several studies have monitored, analyzed, improved, and predicted modeling process based on BIM log mining. However, the BIM logs recorded using current BIM authoring tools do not offer explicit information about modeling commands and object-related parameters. The BIM logger proposed in the current work was developed using the application programming interface (API) of BIM authoring software to create an enhanced log file that can represent the modeling process. The reproducibility of the modeling process in the log file created using the developed logger was evaluated via quantitative and qualitative methods.
|Title of host publication||Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021|
|Editors||Chen Feng, Thomas Linner, Ioannis Brilakis|
|Publisher||International Association for Automation and Robotics in Construction (IAARC)|
|Number of pages||8|
|Publication status||Published - 2021|
|Event||38th International Symposium on Automation and Robotics in Construction, ISARC 2021 - Dubai, United Arab Emirates|
Duration: 2021 Nov 2 → 2021 Nov 4
|Name||Proceedings of the International Symposium on Automation and Robotics in Construction|
|Conference||38th International Symposium on Automation and Robotics in Construction, ISARC 2021|
|Country/Territory||United Arab Emirates|
|Period||21/11/2 → 21/11/4|
Bibliographical noteFunding Information:
This work was funded by the Korean Ministry of Land, Infrastructure, and Transport (MOLIT) (No. 2019-0-01559-001, Automation of Architectural Design Process Using Artificial Intelligence), Korea Agency for Infrastructure Technology Advancement.
© 2021 Proceedings of the International Symposium on Automation and Robotics in Construction. All rights reserved.
All Science Journal Classification (ASJC) codes
- Building and Construction
- Civil and Structural Engineering
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality
- Artificial Intelligence
- Computer Science Applications