دانلود مقاله ISI انگلیسی شماره 68954
ترجمه فارسی عنوان مقاله

سیستم آموزش فعال برای نصب بتن پیش ساخته ایمن و کارآمد

عنوان انگلیسی
Proactive training system for safe and efficient precast installation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
68954 2015 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Automation in Construction, Volume 49, Part A, January 2015, Pages 163–174

ترجمه کلمات کلیدی
آموزش ساخت و ساز؛ ایمنی ساخت و ساز - کار بهره وری؛ مدلهای اطلاعاتی ساختمان؛ سیستم مکان در زمان واقعی
کلمات کلیدی انگلیسی
Construction training; Construction safety; Work efficiency; Building Information Models; Real-time location system
پیش نمایش مقاله
پیش نمایش مقاله  سیستم آموزش فعال برای نصب بتن پیش ساخته ایمن و کارآمد

چکیده انگلیسی

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.