Location tracking and data visualization technology to advance construction ironworkers' education and training in safety and productivity

Abstract Most construction worker education and training environments apply traditional teaching methods to educate workers about hazards and productivity in the workplace. Many rely on using conventional teacher–student classroom settings, but there are few effective interactive methods applied which can objectively engage trainer and trainees and assess their performance during and after training sessions. Presented is a novel approach towards integrating real-time location tracking and three-dimensional immersive data visualization technologies in existing construction worker education and training environments. The scope is limited to steel-erection tasks performed by union ironworkers in an indoor training center. Results to analysis and visualization of the gathered data from training session are shown. The potential for assessing and improving the trainers' and apprentices' safety and productivity performance is explained. Since such technologies have hardly been used as part of existing construction education and training techniques, the opportunities including return on investment and user feedback were studied. The results show that unsafe practices in worker training environments can be detected and visualized and furthermore their training effectiveness can be indirectly measured.

[1]  Carlos Balaguer,et al.  A mechatronics security system for the construction site , 2003 .

[2]  Javier Irizarry,et al.  ASSESSMENT OF RISK PERCEPTION OF IRONWORKERS , 2006 .

[3]  Carl T. Haas,et al.  Workers’ Skills and Receptiveness to Operate Under the Tier II Construction Management Strategy , 2005 .

[4]  Salehi SichaniMahdi,et al.  Understanding construction workforce absenteeism in industrial construction , 2011 .

[5]  Carl T. Haas,et al.  Strategic Management of Human Resources in Construction , 2006 .

[6]  Paul M. Goodrum,et al.  Craft Training Issues in American Industrial and Commercial Construction , 2008 .

[7]  Issam Srour,et al.  What Does the Construction Industry Value in Its Workers , 2006 .

[8]  Carlos H. Caldas,et al.  Methodology for Automating the Identification and Localization of Construction Components on Industrial Projects , 2009 .

[9]  Mumtaz Usmen,et al.  Comparative Injury and Fatality Risk Analysis of Building Trades , 2006 .

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

[11]  Paul M. Goodrum,et al.  Assessing the impact of materials tracking technologies on construction craft productivity , 2009 .

[12]  Carlos H. Caldas,et al.  Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources , 2007 .

[13]  O. Salem,et al.  Application of lean manufacturing principles to construction , 2005 .

[14]  Min-Yuan Cheng,et al.  OPEN-BUILDING MAINTENANCE MANAGEMENT USING RFID TECHNOLOGY , 2007 .

[15]  Stefan Greuter,et al.  Playing 4 safety - designing an engaging hazard recognition game for construction safety induction , 2012 .

[16]  David J. Edwards,et al.  SightSafety: A hybrid information and communication technology system for reducing vehicle/pedestrian collisions , 2006 .

[17]  Eddy M. Rojas,et al.  A pilot study of a 3D game environment for construction safety education , 2011, J. Inf. Technol. Constr..

[18]  Joachim Hammer,et al.  An architecture for decision support in ad hoc sensor networks , 2009, J. Inf. Technol. Constr..

[19]  Tao Cheng,et al.  Automated task-level activity analysis through fusion of real time location sensors and worker's tho , 2013 .

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

[21]  Jochen Teizer,et al.  Rapid Automated Monitoring of Construction Site Activities Using Ultra-Wide Band , 2007 .

[22]  H. Howe,et al.  Census of Fatal Occupational Injuries , 1996 .

[23]  Koshy Varghese,et al.  Automated Project Schedule and Inventory Monitoring Using RFID , 2007 .

[24]  M H Sweeney,et al.  Proportionate mortality among unionized construction ironworkers. , 1997, American journal of industrial medicine.

[25]  Patricio A. Vela,et al.  Automated Trajectory and Path Planning Analysis Based on Ultra Wideband Data , 2012, J. Comput. Civ. Eng..

[26]  D. Morton,et al.  Linear Programming Approach to Optimize Strategic Investment in the Construction Workforce , 2006 .

[27]  J. Teizer,et al.  Quadrature Amplitude Modulated Backscatter in Passive and Semipassive UHF RFID Systems , 2012, IEEE Transactions on Microwave Theory and Techniques.

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

[29]  Kris Paap,et al.  “VOLUNTARILY PUT THEMSELVES IN HARM’S WAY”: THE “BAIT AND SWITCH” OF SAFETY TRAINING IN THE CONSTRUCTION INDUSTRY , 2003 .

[30]  Dulcy M. Abraham,et al.  Effect of Safety and Environmental Variables on Task Durations in Steel Erection , 2005 .

[31]  Burcu Akinci,et al.  Automating the task of tracking the delivery and receipt of fabricated pipe spools in industrial projects , 2006 .

[32]  Patricio A. Vela,et al.  Personnel tracking on construction sites using video cameras , 2009, Adv. Eng. Informatics.

[33]  Tao Cheng,et al.  Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers , 2013, J. Comput. Civ. Eng..