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Huang, W, Tserng, H P, Jaselskis, E J and Lee, S (2014) Dynamic Threshold Cash Flow–Based Structural Model for Contractor Financial Prequalification. Journal of Construction Engineering and Management, 140(10).

Kim, H, Orr, K, Shen, Z, Moon, H, Ju, K and Choi, W (2014) Highway Alignment Construction Comparison Using Object-Oriented 3D Visualization Modeling. Journal of Construction Engineering and Management, 140(10).

Kim, T, Lim, H, Cho, H and Kang, K (2014) Automated Lifting System Integrated with Construction Hoists for Table Formwork in Tall Buildings. Journal of Construction Engineering and Management, 140(10).

Liu, J, Shahi, A, Haas, C T, Goodrum, P and Caldas, C H (2014) Validation Methodologies and Their Impact in Construction Productivity Research. Journal of Construction Engineering and Management, 140(10).

Su, X, Li, S, Yuan, C, Cai, H and Kamat, V R (2014) Enhanced Boundary Condition–Based Approach for Construction Location Sensing Using RFID and RTK GPS. Journal of Construction Engineering and Management, 140(10).

  • Type: Journal Article
  • Keywords: Algorithms; Construction management; Resource management; RFID; Locating algorithm; Accuracy assessment; Boundary condition; Received signal strength;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000889
  • Abstract:
    The radio frequency identification (RFID) technology has proven its potential in locating and tracking construction resources, a critical task in construction project control. However, the main challenge is how to achieve desired levels of locating accuracy. This paper presents an enhanced boundary condition method that incorporates the tag-reader angle and the reader geometric configuration factors to control the accuracy of a locating system that integrates RFID and real time kinematic (RTK) global positioning system (GPS). Controlled laboratory experiments were conducted to assess their effects and create quality control filters. This study demonstrated the relationship between the detecting range and the tag-reader angle and used it to separate valid/invalid boundary points. Spatial dilution of precision (SDOP) was formulated to measure the geometric configuration of readers forming the boundary constraint. Correlating SDOP to the locating error through a polynomial regression model, a mechanism was created to use SDOP to predict and control the locating accuracy. Open field experiments validated that appropriate SDOP, and tag-reader angle filters could be created to achieve varying levels of accuracy.