Proactive training system for safe and efficient precast installation

Li, Heng, Lu, Miaojia, Chan, Greg, & Skitmore, Martin (2015) Proactive training system for safe and efficient precast installation. Automation in Construction, 49(Part A), pp. 163-174.

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Abstract

The construction industry is a crucial component of the Hong Kong economy, and the safety and efficiency of workers are two of its main concerns. The current approach to training workers relies primarily on instilling practice and experience in conventional teacher-apprentice settings on and off site. Both have their limitations however, on-site training is very inefficient and interferes with progress on site, while off-site training provides little opportunity to develop the practical skills and awareness needed through hands-on experience. A more effective way is to train workers in safety awareness and efficient working by current novel information technologies. This paper describes a new and innovative prototype system – the Proactive Construction Management System (PCMS) – to train precast installation workers to be highly productive while being fully aware of the hazards involved. PCMS uses Chirp-Spread-Spectrum-based (CSS) real-time location technology and Unity3D-based data visualisation technology to track construction resources (people, equipment, materials, etc.) and provide real-time feedback and post-event visualisation analysis in a training environment. A trial of a precast facade installation on a real site demonstrates the benefits gained by PCMS in comparison with equivalent training using conventional methods. It is concluded that, although the study is based on specific industrial conditions found in Hong Kong construction projects, PCMS may well attract wider interest and use in future.

Impact and interest:

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3 citations in Web of Science®

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ID Code: 82169
Item Type: Journal Article
Refereed: Yes
Keywords: Construction training, Construction safety, Work efficiency, Building Information Models, Real-time location system
DOI: 10.1016/j.autcon.2014.10.010
ISSN: 0926-5805
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Elsevier B.V.
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Automation in Construction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Automation in Construction, Volume 49, Part A, (January 2015), DOI: 10.1016/j.autcon.2014.10.010
Deposited On: 03 Mar 2015 23:05
Last Modified: 02 Jan 2017 07:26

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