4.7 Article

Proactive training system for safe and efficient precast installation

Journal

AUTOMATION IN CONSTRUCTION
Volume 49, Issue -, Pages 163-174

Publisher

ELSEVIER
DOI: 10.1016/j.autcon.2014.10.010

Keywords

Construction training; Construction safety; Work efficiency; Building Information Models; Real-time location system

Funding

  1. Innovation and Technology Commission (ITC), Hong Kong Special Administrative Region [ITP/036/12LP]
  2. Research Grants Council of Hong Kong [PolyU 152093/14E]

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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. (C) 2014 Elsevier B.V. All rights reserved.

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