Virtual Prototyping for Construction Site Co2 Emissions and Hazard Detection

The need for an efficient means of managing emissions and identifying potential hazard black spots in construction processes effectively and at the lowest cost possible has been highlighted in the construction sector. This study illustrates an integrated 5D model developed for quantifying carbon emissions and simulating the pattern of emissions of construction processes as a whole using virtual prototyping technologies. The predicted construction emissions data for each activity is generated and plotted to visually demonstrate the emission rates alongside the integrated four-dimensional VP framework of the construction project. The model also consists of a pro-active construction management system (PCMS), which assist the project team to detect sources of danger to on-site workers and provide pro-active warnings to them so as to avoid fatal accidents that are often caused by falling from heights and being struck by moving objects. A Hong Kong high-rise housing development project is used to exhibit the application of the carbon emission visualisation and potential accident detection system. This tool aims to encourage construction industry practitioners to become more environmentally conscious and pro-active in carbon mitigation and safety performance.

[1]  Weiwei Wu,et al.  An integrated information management model for proactive prevention of struck-by-falling-object accidents on construction sites , 2013 .

[2]  Mohamed Al-Hussein,et al.  Productivity and CO2 emission analysis for tower crane utilization on high-rise building projects , 2013 .

[3]  Andrew N. Baldwin,et al.  Integrating design and construction through virtual prototyping , 2008 .

[4]  Heng Li,et al.  Life-cycle management of construction projects based on virtual prototyping technology , 2010 .

[5]  Tomohiro Yoshida,et al.  Application of RFID technology to prevention of collision accident with heavy equipment , 2010 .

[6]  Tao Cheng,et al.  Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications , 2013 .

[7]  Johnny Wong,et al.  Toward low-carbon construction processes: the visualisation of predicted emission via virtual prototyping technology , 2013 .

[8]  Mani Golparvar-Fard,et al.  The Application of Visualization for Construction Emission Monitoring , 2010 .

[9]  Feniosky Peña-Mora,et al.  Visualizing greenhouse gas emissions from construction activities , 2011 .

[10]  Jimmie Hinze,et al.  Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system , 2010 .

[11]  Feniosky Peña-Mora,et al.  Sustainability analysis of earthmoving operations , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[12]  Patricio A. Vela,et al.  Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments , 2011 .

[13]  Michael Phil Lewis Estimating fuel use and emission rates of nonroad diesel construction equipment performing representative duty cycles , 2009 .

[14]  Aurora L. Sharrard,et al.  Environmental Implications of Construction Site Energy Use and Electricity Generation1 , 2007 .

[15]  Miroslaw J. Skibniewski,et al.  Monitoring and Management of Greenhouse Gas Emissions from Construction Equipment Using Wireless Sensors , 2009 .

[16]  Seokyon Hwang,et al.  Ultra-wide band technology experiments for real-time prevention of tower crane collisions , 2012 .

[17]  Moonseo Park,et al.  RFID-Based Real-Time Locating System for Construction Safety Management , 2012, J. Comput. Civ. Eng..

[18]  Changbum R. Ahn,et al.  Importance of Operational Efficiency to Achieve Energy Efficiency and Exhaust Emission Reduction of Construction Operations , 2013 .

[19]  Mani Golparvar-Fard,et al.  A Visual Monitoring Framework for Integrated Productivity and Carbon Footprint Control of Construction Operations , 2011 .

[20]  Albert P.C. Chan,et al.  Key performance indicators for measuring construction success , 2004 .

[21]  David G. Carmichael,et al.  Minimum Operational Emissions in Earthmoving , 2012 .

[22]  Burcu Akinci,et al.  Tracking and locating components in a precast storage yard utilizing radio frequency identification technology and GPS , 2007 .

[23]  Hongling Guo,et al.  VP-based safety management in large-scale construction projects: A conceptual framework , 2013 .

[24]  Tao Cheng,et al.  Location tracking and data visualization technology to advance construction ironworkers' education and training in safety and productivity , 2013 .

[25]  Martin Skitmore,et al.  The use of virtual prototyping for hazard identification in the early design stage , 2012 .

[26]  James Mitchell,et al.  Intelligent Sustainable Design: Integration of Carbon Accounting and Building Information Modeling , 2011 .

[27]  H. Abanda,et al.  Measuring the embodied energy , waste , CO 2 emissions , time and cost for building design and construction , 2010 .

[28]  Berardo Naticchia,et al.  A Proactive System for Real-Time Safety Management in Construction Sites , 2009 .

[29]  Jochen Teizer,et al.  A GIS Framework for Reducing GHG Emissions in Concrete Transportation , 2010 .

[30]  Andrew N. Baldwin,et al.  A virtual prototyping system for simulating construction processes , 2007 .