4.6 Article

BIM-FM integrated solution resourcing to digital techniques

期刊

NEURAL COMPUTING & APPLICATIONS
卷 -, 期 -, 页码 -

出版社

SPRINGER LONDON LTD
DOI: 10.1007/s00521-023-08907-0

关键词

Facility management; BIM; Maintenance management; Photogrammetry; BIM-FM

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This paper presents an integrated solution for combining Building Information Modeling (BIM) and Facility Management (FM) to categorize and prioritize maintenance management using digital techniques. The methodology involves recognizing and preparing site conditions, collecting images using Unmanned Aerial Vehicles (UAVs), processing and comparing images with software, obtaining point clouds and integrating them into a BIM software, 3D building modeling in Revit software, damage detection through Photogrammetry Point Clouds, and placing building anomalies using placeholders. This method enhances the usability of BIM in FM by allowing data updates in the model, avoiding information loss or fragmentation in the building life cycle, and providing access to both BIM users and non-users.
The facility management (FM) has been suffering significant changes since the introduction of building information modeling (BIM) in the Architecture, Engineering, Construction and Operation (AECO) sector. However, there are still challenges in BIM implementation during the building use phase, such as the difficulties related to the personalization of the maintenance management information for each case, and modeling the as-built conditions. Disclosing building data to all the stakeholders involved in the building life cycle is also a challenging task. So, this paper aims to present an integrated solution for BIM-FM to categorize and prioritize maintenance management, with the resource to digital techniques. For this purpose, the methodology developed consists of 1-the recognition and preparation of the site conditions; 2-Image collection using an Unmanned Aerial Vehicle (UAV); 3-Image processing and software comparison; 4-Obtaining point cloud and its integration in a BIM software; 5-3D building modeling in Revit software, 5-Damage detection through Photogrammetry Point Cloud, and 6-Placement of building anomalies by means of placeholders. This work allows exploring BIM-FM representation and data integration for building condition assessment and its representation in a collaborative tool. This methodology will enhance the usability of BIM methodology in FM since it allows the data update in the model, avoids the information loss or fragmentation of the building life cycle and gives access to BIM users and non-users.

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