ITcon Vol. 24, pg. 360-380, http://www.itcon.org/2019/19

A BIM-based location aware AR collaborative framework for facility maintenance management

submitted:May 2019
revised:July 2019
published:July 2019
editor(s):Amor R.
authors:Keyu Chen, Ph.D Candidate,
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;
E-mail: kchenal@connect.ust.hk

Weiwei Chen, Postdoctoral Fellow,
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;
E-mail: wchenau@connect.ust.hk

Chun Ting Li, MPhil. Student,
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;
E-mail: ctliab@ust.hk

Jack C. P. Cheng (corresponding author), Associate Professor
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;
E-mail: cejcheng@ust.hk
summary:Facility maintenance management (FMM) accounts for a large amount of the total cost of facilities’ lifecycle, illustrating the importance of improving FMM efficiency. Many mechanical facilities, like ventilation ducts above ceilings, are normally hidden, indicating the necessity of applying certain technology that can enable users to visualize and update the information of hidden facilities. Real-time location information is also needed so that users can be aware of their current location and the surrounding facility can be displayed accordingly. Therefore, this paper aims to develop location aware augmented reality (AR) framework for FMM, with building information modeling (BIM) as the data source, AR for the interaction between users and facilities, and Wi-Fi fingerprinting for providing real-time location information. The developed framework has the following features: (1) a proposed softmax-based weighted K nearest neighbour (S-WKNN) algorithm is used for Wi-Fi fingerprinting to obtain the current location of users; (2) a room identification method, based on BIM, the obtained location, and ray casting algorithm, is proposed to identify which room the user is currently in; (3) according to the obtained location and the identified room, users can visualize and interact with their surrounding facilities through the AR devices; and (4) users in a remote location can visualize site situation and interact with site facilities in real time through video streaming and the shared database. At the end of the paper, an experiment was designed to evaluate the effectiveness of the developed system. As shown by the experiment, the developed AR collaborative system can reduce the completion time of the designed task by around 65% compared with traditional 2D drawing-based method, and can provide a localization accuracy of around 1m.
keywords:Augmented reality, Building information modeling, Facility maintenance management, Remote collaboration, Wi-Fi fingerprinting
full text: (PDF file, 0.884 MB)
citation:Chen K, Chen W, Li C T, Cheng J C P (2019). A BIM-based location aware AR collaborative framework for facility maintenance management, ITcon Vol. 24, pg. 360-380, https://www.itcon.org/2019/19