Infrastructure BIM Platform for Lifecycle Management
Recently, the application of the BIM technique to infrastructure lifecycle management has increased rapidly to improve the efficiency of infrastructure management systems. Research on the lifecycle management of infrastructure, from planning and design to construction and management, has been carrie...
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Format: | Article |
Language: | English |
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MDPI AG
2021-11-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/11/21/10310 |
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author | Keunyoung Jang Jong-Woo Kim Ki-Beom Ju Yun-Kyu An |
author_facet | Keunyoung Jang Jong-Woo Kim Ki-Beom Ju Yun-Kyu An |
author_sort | Keunyoung Jang |
collection | DOAJ |
description | Recently, the application of the BIM technique to infrastructure lifecycle management has increased rapidly to improve the efficiency of infrastructure management systems. Research on the lifecycle management of infrastructure, from planning and design to construction and management, has been carried out. Therefore, a systematic review of the literature on recent research is performed to analyze the current state of the BIM technique. State-of-the-art techniques for infrastructure lifecycle management, such as unmanned robots, sensors and processing techniques, artificial intelligence, etc., are also reviewed. An infrastructure BIM platform framework composed of BIM and state-of-the-art techniques is then proposed. The proposed platform is a web-based platform that contains quantity, schedule (4D), and cost (5D) construction management, and the monitoring systems enable collaboration with stakeholders in a Common Data Environment (CDE). The lifecycle management methodology, after infrastructure construction, is then completed and is developed using state-of-the-art techniques using unmanned robots, scan-to-BIM, and deep learning networks, etc. It is confirmed that collaboration with stakeholders in the CDE in construction management is possible using an infrastructure BIM platform. Moreover, lifecycle management of infrastructure is possible by systematic management, such as time history analysis, damage growth prediction, decision of repair and demolition, etc., using a regular inspection database based on an infrastructure BIM platform. |
first_indexed | 2024-03-10T06:06:11Z |
format | Article |
id | doaj.art-0b354069a9374733b20ee1ae9023a5e0 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T06:06:11Z |
publishDate | 2021-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-0b354069a9374733b20ee1ae9023a5e02023-11-22T20:30:54ZengMDPI AGApplied Sciences2076-34172021-11-0111211031010.3390/app112110310Infrastructure BIM Platform for Lifecycle ManagementKeunyoung Jang0Jong-Woo Kim1Ki-Beom Ju2Yun-Kyu An3Department of Architectural Engineering, Sejong University, Seoul 05006, KoreaUniversal Design & Novel Solution (UDNS) Co., Ltd., Yongin 16976, KoreaKorea Institute of Civil Engineering and Building Technology (KICT), Goyang 10223, KoreaDepartment of Architectural Engineering, Sejong University, Seoul 05006, KoreaRecently, the application of the BIM technique to infrastructure lifecycle management has increased rapidly to improve the efficiency of infrastructure management systems. Research on the lifecycle management of infrastructure, from planning and design to construction and management, has been carried out. Therefore, a systematic review of the literature on recent research is performed to analyze the current state of the BIM technique. State-of-the-art techniques for infrastructure lifecycle management, such as unmanned robots, sensors and processing techniques, artificial intelligence, etc., are also reviewed. An infrastructure BIM platform framework composed of BIM and state-of-the-art techniques is then proposed. The proposed platform is a web-based platform that contains quantity, schedule (4D), and cost (5D) construction management, and the monitoring systems enable collaboration with stakeholders in a Common Data Environment (CDE). The lifecycle management methodology, after infrastructure construction, is then completed and is developed using state-of-the-art techniques using unmanned robots, scan-to-BIM, and deep learning networks, etc. It is confirmed that collaboration with stakeholders in the CDE in construction management is possible using an infrastructure BIM platform. Moreover, lifecycle management of infrastructure is possible by systematic management, such as time history analysis, damage growth prediction, decision of repair and demolition, etc., using a regular inspection database based on an infrastructure BIM platform.https://www.mdpi.com/2076-3417/11/21/10310Building Information Modeling (BIM)infrastructure life cycle managementUnmanned Aerial Vehicle (UAV)scan-to-BIMdeep learningCommon Data Environmental (CDE) |
spellingShingle | Keunyoung Jang Jong-Woo Kim Ki-Beom Ju Yun-Kyu An Infrastructure BIM Platform for Lifecycle Management Applied Sciences Building Information Modeling (BIM) infrastructure life cycle management Unmanned Aerial Vehicle (UAV) scan-to-BIM deep learning Common Data Environmental (CDE) |
title | Infrastructure BIM Platform for Lifecycle Management |
title_full | Infrastructure BIM Platform for Lifecycle Management |
title_fullStr | Infrastructure BIM Platform for Lifecycle Management |
title_full_unstemmed | Infrastructure BIM Platform for Lifecycle Management |
title_short | Infrastructure BIM Platform for Lifecycle Management |
title_sort | infrastructure bim platform for lifecycle management |
topic | Building Information Modeling (BIM) infrastructure life cycle management Unmanned Aerial Vehicle (UAV) scan-to-BIM deep learning Common Data Environmental (CDE) |
url | https://www.mdpi.com/2076-3417/11/21/10310 |
work_keys_str_mv | AT keunyoungjang infrastructurebimplatformforlifecyclemanagement AT jongwookim infrastructurebimplatformforlifecyclemanagement AT kibeomju infrastructurebimplatformforlifecyclemanagement AT yunkyuan infrastructurebimplatformforlifecyclemanagement |