A Study of RTLS-based Construction Worker Safety Management System Model

  • Authors

    • Jai-woo Oh
    • Jin-Kyu Kang
    https://doi.org/10.14419/ijet.v7i3.24.22687
  • Beacon, RTLS(Real-Time Location System), Construction Safety Management, Context Awareness, IoT(Internet of Things)

  • Abstract

    Background/Objectives: The purpose is to develop a safety management system using location and context information collected from a sensor module for preventing and quickly responding to accidents involving construction workers.

    Methods/Statistical analysis: In order to develop a safety management system that is suitable for construction sites, there is a need to apply appropriate technologies, taking into consideration the site characteristics. The technologies applied in this research were a sensor module comprised of a device that collects beacon signals, a device that collects data on acceleration and angular velocity, and a wireless networking device for providing the collected information; the gateway technology for transmitting the data on location, tile and acceleration obtained from the sensor module via LoRa communication; real-time fingerprint-based positioning technique; and context-aware technology for recognizing a fall by using the data on tilt and acceleration.

    Findings: This study was conducted on a safety management system with the aim of preventing accidents on construction sites by providing location-based safety management services to the workers and allowing a speedy response in the event of a fall. To this end, three experiments were carried out: the first experiment was conducted to see whether the alert signal (i.e. vibration) was accurately transmitted inside a danger zone, and it was found that the vibration function of the wearable device worked properly within the designated range; the second experiment checked for errors in the location information of the workers arising from obstacles, and it was found that the alert for the danger zone was properly conveyed within the designated range; and the third experiment checked whether the information of a fall was conveyed quickly upon occurrence, and the results showed that a fall could be identified using the context-aware information from the sensor module and the related algorithm for the information on the fall to be swiftly communicated to the field manager.

    Improvements/Applications: The findings showed that the real-time location and context-aware information collected from the sensor module can be used to prevent accidents and respond quickly in the event of a fall.

     

     

  • References

    1. [1] D. H. KIM, "IoT(Internet of Things)? IoS(Internet of Safety)!", Railway Journal, 2016;19(6): 73~82. Available from: http://www.dbpia.co.kr/Article/NODE07089333

      [2] H. W. Cho, J. H. Park, C. S. Lee, "A Survey Recognition and Analysis of Problem on the RFID Technology", Korea Institute of Construction Engineering and Management, 2008;Vol.2008(11), pp. 19-22. Available from: http://prof.incheon.ac.kr:8082/~uicem/pdf/jaikr/kicemst_200811_005.pdf

      [3] wikipedia Encyclopedia, Available from: https://ko.wikipedia.org/wiki/%EC%8B%A4%EC%8B%9C%EA%B0%84_%EC%9C%84%EC%B9%98%EC%B6%94%EC%A0%81_%EC%84%9C%EB%B9%84%EC%8A%A4

      [4] S. B. Chun, S. Lim, D. W. Lim, M, B. Heo, "Indoor Positioning Technology Trends", Korea Aerospace Research Institute, 2015;13(1) : 127-138. Available from: https://www.kari.re.kr/cop/bbs/BBSMSTR_000000000064/selectBoardArticle.do?nttId=5243

      [5] J. M. Yoo, E. S. Park, Y. J. Jun, T. S. Lee, "A Study on the Automation in Construction using and RFID System", Korea Institute of Construction Engineering and Management, 2008;Vol.2008(11), pp. 731-734. Available from: http://www.auric.or.kr/dordocs/cart_rdoc2_.asp?db=RD_R&dn=219725

      [6] J. H. Lee, K. H. Park, S. H. Yoon, J. H. Paek, "A Study on the Reduction Plan of Construction Disaster Using RFID/USN Technology", Architectural Institute of K o r e a, 2006: 20(1); 605-608. Available from: http://www.auric.or.kr/dordocs/cart_rdoc2_.asp?db=RD_R&dn=205306

      [7] C. H. Choi, "A case study and future directions of Radio FrequenceI Dentification system in A/E/C industry", Korea Institute of Construction Engineering and Management, 2004;Vol.2004(11), pp. 145-149. Available from: http://www.auric.or.kr/User/Rdoc/DocRdoc.aspx?returnVal=RD_R&dn=164128#.W5XWnNFG0VA

      [8] J. K. Lee, Y. H. Lee, J. H. Park, M. J. Son, "Experimental Study on Wall Transmission Loss of Electric wave for the RTLS Application of Building Construction Project", Building Construction, 2009;9(1): 95-101, Available from: http://kiss.kstudy.com/thesis/thesis-view.asp?key=3439726

      [9] H. T. Ju, K. H. Kim, J. J. Kim, "A Study on The Management of A Building by Applying RFID/USN", Korea Institute of Construction Engineering and Management, 2007;Vol.2007(11), pp. 331-336. Available from: http://www.auric.or.kr/User/Rdoc/DocRdoc.aspx?returnVal=RD_R&dn=214734#.W5XZw9FG0VA

      [10] LoRa, Available from : https://www.lora-alliance.org/

      [11] R. J. Conejar, H. K. Kim, "Designing U-Healthcare Web Services system", Int. J. Softw. Eng. Appl., 2015;9(3); 209–216.

      [12] J. Y. Won, "Proximity sensing based on a dynamic vision sensor for mobile devices". IEEE Ind. Electron. Soc, 2014;62(1): 536–544.

      [13] B. H. Kim, J. W. Oh, "Development of healthcare service model using physical information data based on cluster sensing technology", The Journal of Networks, Software Tools and Applications, Cluster Comput(2017), pp. 1-15. DOI : https://doi.org/10.1007/s10586-017-1184-x

      [14] Maarit Kangas, Antti Konttila, Per Lindgren, Ilkka Winblad, Timo Jamsa, “Comparison of low-complexity fall detection algorithms for body attached accelerometersâ€, Gait & Posture, 2008;Vol.28(2): 285-291. DOI : https://doi.org/10.1016/j.gaitpost.2008.01.003

  • Downloads

  • How to Cite

    Oh, J.- woo, & Kang, J.-K. (2018). A Study of RTLS-based Construction Worker Safety Management System Model. International Journal of Engineering & Technology, 7(3.24), 365-369. https://doi.org/10.14419/ijet.v7i3.24.22687

    Received date: 2018-12-01

    Accepted date: 2018-12-01