Incorporating the progress measurement dimension to an integrated building information system: a research framework

The accurate measurement of work in progress on construction sites is important for calculating interim payments as well as for business and project management functions like schedule and cost control. Currently it still takes place using traditional building surveying techniques and visual inspections. However the usually monthly meas-urements are not frequent and accurate enough, incorporating judgement and shortcuts. An EPSRC funded collaborative research is looking at supporting the measurement of work in progress on construction sites using computer vision technology within the context of an integrated building information system. In particular, the research aims to develop a system that automatically measures the progress of construction from digital images captured on site, analyses the progress against the original schedule in order to identify any potential delays and calcu-lates interim payments. The paper presents the initial findings from the research and a development framework for the proposed system.

[1]  Angela Lee,et al.  nD Modelling for Collaborative Working in Construction , 2005 .

[2]  Glenn A. Sears.  CPM/Cost: An Integrated Approach , 1981 .

[3]  Bauke de Vries,et al.  Generation of a construction planning from a 3D CAD model , 2007 .

[4]  Andrew W. Fitzgibbon,et al.  Dictionary of Computer Vision and Image Processing , 2005, J. Electronic Imaging.

[5]  Osama Abudayyeh,et al.  Prototype Integrated Cost and Schedule Control System , 1993 .

[6]  Ronie Navon,et al.  Automated project performance control of construction projects , 2005 .

[7]  Sungkwon Woo,et al.  Flexible Work Breakdown Structure for Integrated Cost and Schedule Control , 2004 .

[8]  Han-Soo Kim,et al.  An Application of PDA and Barcode Technology for the Improvement of Information Management in Construction Projects , 2004 .

[9]  S Staub,et al.  The practical needs of integrating scope, cost, and time , 1999 .

[10]  Y. Wu,et al.  Digital Imaging in Assessment of Construction Project Progress , 2004 .

[11]  Rafael Sacks,et al.  Assessing research issues in Automated Project Performance Control (APPC) , 2007 .

[12]  Robert I. Carr.  COST, SCHEDULE, AND TIME VARIANCES AND INTEGRATION , 1993 .

[13]  Leland S. Riggs.  Project Control Techniques , 1987 .

[14]  Lucio Soibelman,et al.  Construction site image retrieval based on material cluster recognition , 2006, Adv. Eng. Informatics.

[15]  Ronie Navon,et al.  Monitoring labor inputs: automated-data-collection model and enabling technologies , 2003 .

[16]  R. Navon,et al.  Research in automated measurement of project performance indicators , 2007 .

[17]  Bo-Christer Björk.  Information Technology in Construction – Domain Definition and Research Issues , 1999 .

[18]  Alan M. Lytle,et al.  Report of the NIST Workshop on Data Exchange Standards at the Construction Job Site , 2003 .

[19]  Mike Kagioglou,et al.  Performance Modelling for the Design of a Hybrid Concrete Structural Frame , 2005 .

[20]  Ammar Peter Kaka,et al.  A framework for automatic progress assessment on construction sites using computer vision , 2004 .

[21]  Jian-Ping Zhang,et al.  4D dynamic construction management and visualization software: 1. Development , 2005 .