Safety 360: Surround-View Sensing to Comply with Changesto the ISO 5006 Earth-Moving Machinery - Operator's Fieldof View - Test Method and Performance Criteria

Despite recent efforts towards protecting construction personnel from equipment which operates in too close proximity, most of the existing and more advanced accident prevention techniques focus on approaches using sensing technologies. These can alert workers-on-foot or personnel operating the equipment in real-time. The drawbacks that some of these technologies have, however, limits their use in practice as the applications in construction are diverse and the environment is harsh. This article first presents significant safety statistics related to visibilityrelated construction equipment accidents. It introduces a brief but critical review of the existing ISO 5006:2006 standard for earth-moving machinery – operator’s field of view – test method and performance criteria. Further, this article comments on a significant change that will soon be implemented in the standard and how equipment manufacturers expect to comply with the modification. Novel equipment design and sensing to provide equipment operators with a surround-view, called here “Safety 360”, is introduced and tested to verify that solutions for responding to the expected change in the International Standard – although they are technically challenging – exist. An outlook presents matters that need to be addressed in the future should equipment operation ever become safe.

[1]  Eric Marks,et al.  Laser Scanning for Safe Equipment Design That Increases Operator Visibility by Measuring Blind Spots , 2013 .

[2]  Jochen Teizer Wearable, wireless identification sensing platform: Self-Monitoring Alert and Reporting Technology for Hazard Avoidance and Training (SmartHat) , 2015, J. Inf. Technol. Constr..

[3]  Todd M. Ruff Advances In Proximity Detection Technologies For Surface Mining Equipment - Introduction , 1900 .

[4]  Eric Marks,et al.  Method for testing proximity detection and alert technology for safe construction equipment operation , 2013 .

[5]  Jochen Teizer,et al.  Automating the blind spot measurement of construction equipment , 2010 .

[6]  Jochen Teizer,et al.  Coarse head pose estimation of construction equipment operators to formulate dynamic blind spots , 2012, Adv. Eng. Informatics.

[7]  Stephanie G. Pratt,et al.  BUILDING SAFER HIGHWAY WORK ZONES: MEASURES TO PREVENT WORKER INJURIES FROM VEHICLES AND EQUIPMENT , 2001 .

[8]  Jimmie Hinze,et al.  The Nature of Struck-by Accidents , 2005 .

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

[10]  Jochen Teizer,et al.  Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites , 2015, Adv. Eng. Informatics.

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

[12]  Jochen Teizer,et al.  Computing 3D blind spots of construction equipment: Implementation and evaluation of an automated measurement and visualization method utilizing range point cloud data , 2013 .

[13]  Carlos H. Caldas,et al.  Evaluation of sensing technology for the prevention of backover accidents in construction work zones , 2014, J. Inf. Technol. Constr..

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

[15]  Jochen Teizer 3D range imaging camera sensing for active safety in construction , 2008, J. Inf. Technol. Constr..

[16]  Roger V. Bostelman,et al.  Methods for improving visibility measurement standards of powered industrial vehicles , 2014 .

[17]  Jochen Teizer,et al.  Visibility-related fatalities related to construction equipment , 2011 .

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

[19]  Jochen Teizer Magnetic Field Proximity Detection and Alert Technology for Safe Heavy Construction Equipment Operation , 2015 .

[20]  Daniel Fong,et al.  Factors affecting safety performance on construction sites , 1999 .

[21]  Roger V. Bostelman,et al.  Improved Methods for Evaluation of Visibility for Industrial Vehicles Towards Safety Standards , 2013 .

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

[23]  D V MacCollum Construction Safety Planning , 2008 .

[24]  W. H. Schiffbauer,et al.  Active proximity warning system for surface and underground mining applications , 2002 .

[25]  Tao Cheng,et al.  Modeling Tower Crane Operator Visibility to Minimize the Risk of Limited Situational Awareness , 2014 .

[26]  Soungho Chae Development of Warning System for Preventing Collision Accident on Construction Site , 2009 .