A labor consumption measurement system based on real-time tracking technology for dam construction site

Abstract The aim of the study presented in this paper is the development of a labor consumption measurement system based on real-time tracking technology for use on a dam construction site. Such technology includes Global Positioning System (GPS), and Geographic Information System (GIS). The system is three-layered and aims to solve several labor computational and usability challenges. The software for processing the collected data, presenting real-time site state visualization, and the accurate analysis of on-site labor consumption is run by smart phones with GPS devices, on-site private wireless base stations, and servers. The benefits of this quantitative labor consumption measurement approach for hydropower projects include the provision, for each dam monolith, of precise information regarding both the number and category of laborers together with their respective working hours. Such knowledge provides adequate quality management information for the owner and the supervisor and importantly aids payment negotiations with contractors. The proposed system was firstly applied to the world's third largest hydropower project. On-site tests successfully demonstrated the feasibility and effectiveness of the whole system. The results achieved show that the system is able to log entire on-site trajectories of laborers, and calculate the accurate labor consumption of each dam monolith.

[1]  Jr. James G. Zack,et al.  «Claimsmanship»: current perspective , 1993 .

[2]  Lynda Aiman-Smith,et al.  Implementing New Manufacturing Technology: The Related Effects of Technology Characteristics and User Learning Activities , 2002 .

[3]  Julio C. Martinez,et al.  Reduction of Short-Interval GPS Data for Construction Operations Analysis , 2005 .

[4]  Berardo Naticchia,et al.  A monitoring system for real-time interference control on large construction sites , 2013 .

[5]  Albert P.C. Chan,et al.  Critical Review of Labor Productivity Research in Construction Journals , 2014 .

[6]  Samuel Y. L. Yin,et al.  Developing a precast production management system using RFID technology , 2009 .

[7]  Keith Pickavance,et al.  Delay and Disruption in Construction Contracts , 1997 .

[8]  A. Wong,et al.  Total quality management in the construction industry in Hong Kong: A supply chain management perspective , 1999 .

[9]  Peng Lin,et al.  A Real-Time Location-Based Services System Using WiFi Fingerprinting Algorithm for Safety Risk Assessment of Workers in Tunnels , 2014 .

[10]  Byeong-Ha Park,et al.  A 23mW fully integrated GPS receiver with robust interferer rejection in 65nm CMOS , 2010, 2010 IEEE International Solid-State Circuits Conference - (ISSCC).

[11]  J. O´Rourke,et al.  Computational Geometry in C: Arrangements , 1998 .

[12]  H. Randolph Thomas,et al.  Improving Productivity Estimates by Work Sampling , 1984 .

[13]  Koshy Varghese,et al.  Accelerometer-Based Activity Recognition in Construction , 2011, J. Comput. Civ. Eng..

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

[15]  Lieyun Ding,et al.  Development of web-based system for safety risk early warning in urban metro construction , 2013 .

[16]  Eugeniusz Budny,et al.  Robotics in Civil Engineering , 1988 .

[17]  Muqing Wu,et al.  A Positioning Algorithm of AGPS , 2009, 2009 International Conference on Signal Processing Systems.

[18]  Chun An Tang,et al.  Failure and overall stability analysis on high arch dam based on DFPA code , 2014 .

[19]  Jochen Teizer,et al.  Automatic spatio-temporal analysis of construction site equipment operations using GPS data , 2013 .

[20]  Liu Fengnan,et al.  Application of 3G technology in mariculture dynamic monitoring , 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

[21]  Low Sui Pheng,et al.  How 'just-in-time' wastages can be quantified: case study of a private condominium project , 1998 .

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

[23]  Russell Kenley,et al.  Quantifying levels of wasted time in construction with meta-analysis , 2005 .

[24]  Edward J. Jaselskis,et al.  Implementing Radio Frequency Identification in the Construction Process , 2003 .

[25]  Zhangwei Li,et al.  A Realization of Power Cable Patrol System Based on GIS and 3G , 2014 .

[26]  Miroslaw J. Skibniewski,et al.  Development of flexible production systems for strip mining , 1991 .

[27]  S. Peer.  An improved systematic activity sampling technique for work study , 1986 .

[28]  Hongyuan Liu,et al.  Effects of Outlets on Cracking Risk and Integral Stability of Super-High Arch Dams , 2014, TheScientificWorldJournal.

[29]  Paul M. Goodrum,et al.  U.S. construction labor productivity trends, 1970-1998 , 2000 .

[30]  Peng Lin,et al.  Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites , 2014, TheScientificWorldJournal.

[31]  Chimay J. Anumba,et al.  Ubiquitous location tracking for context-specific information delivery on construction sites , 2008 .

[32]  Danijel Rebolj,et al.  Integrating resource production and construction using BIM , 2010 .

[33]  François Peyret,et al.  High-precision application of GPS in the field of real-time equipment positioning , 2000 .

[34]  Mohan M. Kumaraswamy,et al.  A comparative study of causes of time overruns in Hong Kong construction projects , 1997 .

[35]  Chimay J. Anumba,et al.  The development of a multi-agent system for construction claims negotiation , 2003 .

[36]  M. Kumaraswamy.  Conflicts, claims and disputes in construction , 1997 .

[37]  Berardo Naticchia,et al.  A proactive system for real-time safety management in construction sites , 2009 .

[38]  Robert D. Logcher,et al.  Management Impacts on Labor Productivity , 1978 .

[39]  Liang Yong,et al.  Application of integrated GPS and GIS technology for reducing construction waste and improving construction efficiency , 2005 .

[40]  Kwok-wing Chau,et al.  Application of a PSO-based neural network in analysis of outcomes of construction claims , 2007 .

[41]  Ronie Navon,et al.  Can Labor Inputs be Measured and Controlled Automatically , 2003 .

[42]  Philippe Bonnifait,et al.  Matching Raw GPS Measurements on a Navigable Map Without Computing a Global Position , 2012, IEEE Transactions on Intelligent Transportation Systems.

[43]  Ting-Hua Yi,et al.  Optimal sensor placement for structural health monitoring based on multiple optimization strategies , 2011 .

[44]  Vineet R. Kamat,et al.  Evaluation of position tracking technologies for user localization in indoor construction environments , 2009 .

[45]  Wenwu Zhu,et al.  Recent advances on TD-SCDMA in China , 2005, IEEE Communications Magazine.

[46]  Liang Y Liu,et al.  ANALYTICAL MODEL FOR ANALYZING CONSTRUCTION CLAIMS AND OPPORTUNISTIC BIDDING , 2004 .

[47]  Myoungho Sunwoo,et al.  Interacting Multiple Model Filter-Based Sensor Fusion of GPS With In-Vehicle Sensors for Real-Time Vehicle Positioning , 2012, IEEE Transactions on Intelligent Transportation Systems.

[48]  Miaoyan Shen,et al.  A Development Strategy of M-Commerce against Mobile Internet , 2013 .

[49]  Francis Tekyi Edum-Fotwe,et al.  Construction Contractors' Claim Process Framework , 2001 .

[50]  Miroslaw J. Skibniewski.  Information management system for new construction technologies , 1991 .

[51]  Hongnan Li,et al.  A new method for optimal selection of sensor location on a high-rise building using simplified finite element model , 2011 .

[52]  K. R. Chandran,et al.  Mining of customer walking path sequence from RFID supermarket data , 2013, Electron. Gov. an Int. J..

[53]  Tony Yu-Ju Tu,et al.  Identifying RFID-embedded objects in pervasive healthcare applications , 2009, Decis. Support Syst..

[54]  Chimay J. Anumba,et al.  Learning in multi-agent systems: a case study of construction claims negotiation , 2002, Adv. Eng. Informatics.

[55]  Paul Levin.  Construction Contract Claims, Changes & Dispute Resolution , 1998 .

[56]  Rafael Sacks,et al.  Relative Productivity in the AEC Industries in the United States for On-Site and Off-Site Activities , 2008 .

[57]  Peng Lin,et al.  Real-Time Monitoring System for Workers' Behaviour Analysis on a Large-Dam Construction Site , 2013, Int. J. Distributed Sens. Networks.

[58]  James L. Jenkins,et al.  Productivity improvement through work sampling , 2004 .

[59]  George Tsebelis,et al.  The Abuse of Probability in Political Analysis: The Robinson Crusoe Fallacy , 1989, American Political Science Review.

[60]  Wolfram Burgard,et al.  Improving RFID-based indoor positioning accuracy using Gaussian processes , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.