Browse > Article
http://dx.doi.org/10.15207/JKCS.2019.10.10.107

IoT-based Dangerous Zone Alarming System for Safety Management in Construction Sites  

Kim, Seung-Ho (Korea Aerospace Industries)
Kang, Chang-Soon (Department of Information & Communication Engineering, Changwon National University)
Ryu, HanGuk (Department of Architecture, Sahmyook University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.10, 2019 , pp. 107-115 More about this Journal
Abstract
Effective construction safety management systems are desperately required for reducing damage caused by increasing safety accidents in construction sites. Safety accidents in construction sites can effectively protect if proactive measures are taken to prevent unauthorized worker access the expected hazardous area. In this study, we have developed a IoT(Internet of Things)-based dangerous zone alarming system for safety management in construction sites, which can be operated at low cost in large-scale sites as well as small and medium-sized construction sites. The development system utilizes a Zigbee-based beacon technology and cellular mobile communication technology to detect when authorized workers, unauthorized field workers or outsiders approaches hazardous zones. If somebody approaches the dangerous zones the system notifies immediately to the safety manager with a danger warning signal. It is expected that this system can effectively prevent safety accidents when applied to construction sites.
Keywords
Safety Management; Danger alarming system; IoT(Internet of Things); LTE(Long Term Evolution); Zigbee; Construction site; Web server; Application;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 S. Y. Guo, L. Y. Ding, H. B. Luo & X. Y., Jiang. (2016). A Big-Data-based platform of workers' behavior: Observations from the field. Accident Analysis & Prevention, 93, 299-309. DOI : 10.1016/j.aap.2015.09.024   DOI
2 A. Carbonari, A. Giretti & B. Naticchia. (2011). A proactive system for real-time safety management in construction sites. Automation in Construction, 20(6), 686-698. DOI : 10.1016/j.autcon.2011.04.019   DOI
3 J. Park, K. Kim & Y. K. Cho. (2016). Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors. Journal of Construction Engineering and Management, 143(2), 05016019. DOI : 10.1061/(ASCE)CO.1943-7862.0001223   DOI
4 V. Escorcia, M. A. Davila, M. Golparvar-Fard & J. C. Niebles. (2012). Automated vision-based recognition of construction worker actions for building interior construction operations using RGBD cameras. In Construction Research Congress 2012: Construction Challenges in a Flat World. (pp. 879-888). DOI : 10.1061/9780784412329.089
5 M. D. Martinez-Aires, M., Lopez-Alonso & M. Martinez-Rojas. (2018). Building information modeling and safety management: A systematic review. Safety science, 101, 11-18. DOI : 10.1016/j.ssci.2017.08.015   DOI
6 S. Zhang, K. Sulankivi, M. Kiviniemi, I. Romo, C. M. Eastman & J. Teizer. (2015). BIM-based fall hazard identification and prevention in construction safety planning. Safety science, 72, 31-45. DOI : 10.1016/j.ssci.2014.08.001   DOI
7 Y. Niu, W. Lu, F. Xue, D. Liu, K. Chen, D. Fang & C. Anumba. (2019). Towards the "third wave": An SCO-enabled occupational health and safety management system for construction. Safety science, 111, 213-223. DOI : 10.1016/j.ssci.2018.07.013   DOI
8 S. H. Kim, H. G. Ryu & C. S. Kang. (2019) Development of an IoT-Based Construction Site Safety Management System. In: Kim K., Baek N. (eds) Information Science and Applications 2018. ICISA 2018. Lecture Notes in Electrical Engineering, 514. Singapore.: Springer. DOI : 10.1007/978-981-13-1056-0_60
9 S. H. Kim (2018). Development of IoT application systems for atmospheric environment monitoring and construction site safety management, Mater Thesis, Changwon National University, 34-53.
10 S. R. Moon & J. H. Cho. (2019). Study on IoT-based Map Inside the Building and Fire Perception System. Journal of Digital Convergence, 17(1), 85-90. DOI : 10.14400/JDC.2019.17.1.085   DOI
11 Y. S. Jeong. (2016). An Efficient IoT Healthcare Service Management Model of Location Tracking Sensor. Journal of Digital Convergence, 14(3), 261-267. DOI : 10.14400/JDC.2016.14.3.261   DOI
12 S. H. Lee, D. H. Shim & D. W. Lee. (2016). Actual Cases of Internet of Thing on Smart City Industry. Journal of Convergence for Information Technology, 6(4), 65-70. DOI : 10.22156/CS4SMB.2016.6.4.065
13 W. F. Cheung, T. H. Lin & Y. C. Lin. (2018). A real-time construction safety monitoring system for hazardous gas integrating wireless sensor network and building information modeling technologies. Sensors, 18(2), 436. DOI : 10.3390/s18020436   DOI
14 M. S. Kwon, U. J. Gim, J. J. Lee & O. Jo. (2018). IoT-based Water Tank Management System for Real-time Monitoring and Controling. Journal of Convergence for Information Technology, 8(6), 217-223. DOI : 10.22156/CS4SMB.2018.8.6.217   DOI
15 Korea Occupational Safety and Health Research Institute (KOSHA). (2014). Safety and Health Research Trends.
16 U. K. Lee, J. H. Kim, H. Cho & K. I. Kang. (2009). Development of a mobile safety monitoring system for construction sites. Automation in Construction, 18(3), 258-264. DOI : 10.1016/j.autcon.2008.08.002   DOI