RFID indoor location identification for construction projects

Abstract This paper presents a low cost indoor location identification and material tracking methodology for construction projects using Ultra High Frequency (UHF) passive Radio Frequency Identification (RFID) technology. Onsite location aware information is an emerging area that focuses on automating delivery of spatial information pertinent to location of materials, workforce, and equipment. This spatial information can be used to derive knowledge about construction project status. A two-step algorithm is presented to automate the process of location estimation and material tracking in near-real-time. In this methodology, a number of passive RFID tags are distributed onsite where work is progressing, and a mobile RFID reader is carried by a worker onsite. Each passive RFID tag is deployed as a reference point with a known location (landmark) within a predefined zone. Reference tags of known locations are used to determine the location of the worker and eventually locate and track surrounding materials. The methodology uses Received Signal Strength Indicator (RSSI) for signal measurements. Two localization methods (triangulation and proximity) were used to identify the location of the worker. Testing this methodology was carried out on an actual construction jobsite, where five test beds were setup at different locations and within different construction time spans. In addition, one test bed was set up in a lab environment. The results presented in this study demonstrate the potential for a low-cost method for location estimation and material tracking of indoor construction. The results show a mean error of 1.0 m and 1.9 m for user location identification and material tracking using the triangulation method, respectively. The results also show a mean error of 1.9 m and 2.6 m for location identification of the worker and for material tracking using the proximity method, respectively. The proposed methodology detects the zones of worker and material location with 100% accuracy.

[1]  Osama Moselhi,et al.  RFID deployment protocols for indoor construction , 2012 .

[2]  James Sommerville,et al.  Model for the 3D Location of Buried Assets Based on RFID Technology , 2009 .

[3]  Klaithem Al Nuaimi,et al.  A survey of indoor positioning systems and algorithms , 2011, 2011 International Conference on Innovations in Information Technology.

[4]  Burcu Akinci,et al.  Tracking Components and Maintenance History within a Facility Utilizing Radio Frequency Identification Technology , 2007 .

[5]  Gaetano Borriello,et al.  Location Systems for Ubiquitous Computing , 2001, Computer.

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

[7]  Carlos H. Caldas,et al.  Using Global Positioning System to Improve Materials-Locating Processes on Industrial Projects , 2006 .

[8]  Heejae Jung,et al.  Using RFID for Accurate Positioning , 2004 .

[9]  Osama Moselhi,et al.  Crew optimization in planning and control of earthmoving operations using spatial technologies , 2007, J. Inf. Technol. Constr..

[10]  Lawrence Wai-Choong Wong,et al.  Indoor localization with channel impulse response based fingerprint and nonparametric regression , 2010, IEEE Transactions on Wireless Communications.

[11]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[12]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[13]  Andrew Lim,et al.  A Robust RFID-Based Method for Precise Indoor Positioning , 2006, IEA/AIE.

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

[15]  Carl T. Haas,et al.  Multisensor data fusion for on-site materials tracking in construction , 2010 .

[16]  Paul M. Goodrum,et al.  The application of active radio frequency identification technology for tool tracking on construction job sites , 2006 .

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

[18]  Frédéric Thiesse,et al.  RFID-based maintenance at Frankfurt airport , 2006, IEEE Pervasive Computing.

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

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

[21]  Chi-ming Lai,et al.  Combination of radio frequency identification (RFID) and field verification tests of interior decorating materials , 2008 .

[22]  Guenther Retscher,et al.  Active RFID Trilateration and Location Fingerprinting Based on RSSI for Pedestrian Navigation , 2009, Journal of Navigation.

[23]  William Rasdorf,et al.  Automated Identification Systems — Focus on Bar Coding , 1990 .

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

[25]  Charles T. Jahren,et al.  RADIO-FREQUENCY IDENTIFICATION APPLICATIONS IN CONSTRUCTION INDUSTRY , 1995 .

[26]  Osama Moselhi,et al.  Estimating productivity of earthmoving operations using spatial technologies 1 , 2012 .

[27]  Osama Moselhi,et al.  RFID+ for Tracking Earthmoving Operations , 2012 .

[28]  Samer S. Saab,et al.  A Standalone RFID Indoor Positioning System Using Passive Tags , 2011, IEEE Transactions on Industrial Electronics.

[29]  Yong K. Cho,et al.  Error modeling for an untethered ultra-wideband system for construction indoor asset tracking , 2010 .

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

[31]  Burcin Becerik-Gerber,et al.  Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment , 2011, Adv. Eng. Informatics.

[32]  Mu-Wook Pyeon,et al.  Application of WiFi-based indoor positioning system for labor tracking at construction sites: A case study in Guangzhou MTR , 2011 .

[33]  Osama Moselhi,et al.  4D and Tablet PC for progress reporting , 2012 .

[34]  Jae Sung Choi,et al.  Accurate and cost efficient object localization using passive uhf rfid , 2011 .

[35]  Afrooz Aryan.  Evaluation of Ultra-Wideband Sensing Technology for Position Location in Indoor Construction Environments , 2011 .

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

[37]  Andy Hopper,et al.  The Anatomy of a Context-Aware Application , 1999, Wirel. Networks.