Abstract
For plant construction, installation of complex pipe spools is one of the integral parts of management and operation. Construction errors in such plants have been increasing as they become bigger and more complex. To reduce the number of construction errors, an efficient management mechanism for pipe spool installation with real-time monitoring is desired. A Ubiquitous Sensor Network (USN), which utilizes low-power wireless data communication technologies such as Wireless Local-Area Networking (WLAN) and RFID (Radio Frequency Identification) is seen as an enabling technology for intelligent management of piping installation. This research aims to develop a real-time pipe tracking system for plant construction, utilizing state-of-the-art technologies such as RFID and 3D digital models on a handheld mobile device, which allows more efficient task management than a conventional computer.
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References
Akinci, B., Patton, M., and Ergen, E. (2002). “Utilizing radio frequency identification on precast concrete components-supplier’s perspective.” Proceeding of ISARC, pp. 381–386.
Arbulu, R. J., Tommelein, I. D., Walsh, K., and Herchause J. (2002). “Value stream analysis of a re-engineered construction supply chain.” Building Research and Information, Vol. 31, No. 2, pp. 161–171.
Cao, Y., Chau, K. W., Anson, M., and Zhang, J. P. (2002). “An intelligent decision support system in construction management by data warehousing technique.” Lecture Notes in Computer Science, Vol. 2480, pp. 360–369.
Cawley, B. (2003). Temperature monitoring and logging, US Department of Transportation Federal Highway Administration, Presentation material at 2003 ADCIC, Las Vegas.
Chau, K. W. (2004), “A two-stage dynamic model on allocation of construction facilities with genetic algorithm.” Automation in Construction, Vol. 13, No. 4, pp. 481–490.
Chin, S. Y., Yoon, S. W., Choi, C. H., and Cho, C. Y. (2008). “RFID+4D CAD for structural steel works in high-rise buildings.” Journal of Computing in Civil Engineering, ASCE, Vol. 22, No. 2, pp. 74–89.
Construction Industry Institute Research Team (2000). Radio frequency identification tagging: Applications for the construction industry, Research Report.
Ergen, E., Akinci, B., and Sacks, R. (2003). “Formalization and automation of effective tracking and locating of precast components in a storage yard.” Proceeding of EuropIA International Conference, EIA9: E-Activities and Intelligent Support in Design and the Built Environment, Europia, Istanbul, pp. 31–37.
Furlani, K. M. and Pfeffer, L. E. (2000). “Automated tracking of structural steel members at the construction site.” Proceeding of 17 th ISARC, pp. 1201–1206.
Goodrum, P. M., McLaren, M. A., and Durfee, A. (2005). “The application of active radio frequency identification technology for tool tracking on construction job sites.” Journal of Automation in Construction, Vol. 15, No. 3, pp. 292–302.
Han, Y. W., Cho, H. H., Lee, Y. S., Kang, T. K., and Kim, J. S. (2004). “A basic study on the development of intelligent tower crane using IT.” Proceeding of Korea Institute of Construction Engineering and Management, pp. 625–628.
Han, J. G., Lee, M. W., Kwon, S. W., and Cho, M. Y. (2004). “Readability tests of RFID for development of the finishing material monitoring system in construction project.” Proceeding of Architectural Institute of Korea, Vol. 24, No. 2, pp. 587–590.
Jaselskis, E. J., Anderson, M. R., Jahren, C. T., Rodriguez, Y., and Njos, S. (1995). “Radio-frequency identification applications in construction industry.” Journal of Construction Engineering and Management, ASCE, Vol. 121, No. 2, pp. 189–196.
Jaselskis, E. J. and EI-Misalami, T. (2003). “Implementing radio frequency identification in the construction process.” Journal of Construction Engineering and Management, ASCE, Vol. 129, No. 6, pp. 680–688.
Kim, C. H., Kim, H. K., Kwon, S. W., Cho, C. Y., Jung, S. W., You, S. J., and Lim, J. A. (2009). “A development of automated pipe tracking system for oil and gas plant construction.” Proceeding of Computational Structural Engineering Institute of Korea, Seoul, p. 169.
Kini, D. U. (1999). “Materials management: The key to successful project management.” Journal of Management in Engineering, ASCE, Vol. 15, No. 1, pp. 30–34.
Lee, J. H., Park, K. H., Yun, S. H., and Paek, J. H. (2006). “A study on the reduction plan of construction disaster using RFID/USN technology.” Proceeding of Architectural Institute of Korea, Vol. 26, No. 1, pp. 605–608.
Singh, V., Gu, N., and Wang, X. (2011). “A theoretical framework of a BIM-based multi-disciplinary collaboration platform.” Automation in Construction, Vol. 20, No. 2, pp. 134–144.
Song, J. C., Haas C. T., Caldas, C., Ergen, E., and Akinci, B. (2006). “Automating the task of tracking the delivery and receipt of fabricated pipe spools in industrial projects.” Journal of Automation in Construction, Vol. 15, No. 2, pp. 166–177.
Song, J. C., Haas C.T., Caldas, C., Ergen, E., Akinci, B., Wood, C. R., and Wadephul, J. (2004). Field trials of RFID technology for tracking fabricated pipe-phase II, FIATECH Smart Chips Project Report, FIATECH, Austin, TX, USA.
Tommelein, I. D. (1998). “Pull-driven scheduling for pipe-spool installation: Simulation of a lean construction technique.” Journal of Construction Engineering and Management, ASCE, Vol. 124, No. 4, pp. 297–288.
Wang, H. J., Zhang, J. P., Chau, K. W., and Anson, M. (2004). “4D dynamic management for construction planning and resource utilization.” Automation in Construction, Vol. 13, No. 5, pp. 575–589.
Yagi, J., Arib, E., and Arai, T. (2005). “Parts and packets unification radio frequency identification application for construction.” Journal of Automation in Construction, Vol. 14, No. 4, pp. 477–490.
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Kim, C.H., Kwon, S.W. & Cho, C.Y. Development of automated pipe spool monitoring system using RFID and 3D model for plant construction project. KSCE J Civ Eng 17, 865–876 (2013). https://doi.org/10.1007/s12205-013-0111-9
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DOI: https://doi.org/10.1007/s12205-013-0111-9