Proactive training system for safe and efficient precast installation
Data(s) |
01/01/2015
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier BV |
Relação |
http://eprints.qut.edu.au/82169/1/PCMS-6b.pdf DOI:10.1016/j.autcon.2014.10.010 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. |
Direitos |
Copyright 2014 Elsevier B.V. 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 |
Fonte |
School of Civil Engineering & Built Environment; Science & Engineering Faculty |
Palavras-Chave | #120201 Building Construction Management and Project Planning #Construction training #Construction safety #Work efficiency #Building Information Models #Real-time location system |
Tipo |
Journal Article |