A Study on the Promotion of Safety Management at Construction Sites Using AIoT and Mobile Technology

doi:10.15683/kosdi.2022.3.31.154

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2022 Vol.18, Issue 1 Preview Page Next Page

Original Article

A Study on the Promotion of Safety Management at Construction Sites Using AIoT and Mobile Technology AIoT와 Mobile기술을 활용한 건설현장 안전관리 활성화 방안에 관한 연구: 안형도*
Hyeongdo Ahn*; Doctor’s Course, Industrial Engineeing, Sunmoon University, Asan, Republic of Korea

31 March 2022. pp. 154-162

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Abstract

Purpose: The government intends to come up with measures to revitalize safety management at construction sites to shift safety management at construction sites from human capabilities to system-oriented management systems using advanced technologies AIoT and Mobile technologies. Method: The construction site safety management monitoring system using AIoT and Mobile technology conducted an experiment on the effectiveness of the construction site by applying three algorithms: virtual fence, fire monitoring, and recognition of not wearing a safety helmet. Result: The number of workers in the experiment was 215 and 7.61 virtual fence intrusion was 3.5% compared to the number of subjects and 0.16 fire detection were 0.07% compared to the subjects, and the average monthly rate of not wearing a safety helmet was 8.79, 4.05% compared to the subjects. Conclusion: It was found that the construction site safety management monitoring system using AIoT and Mobile technology has a valid effect on the construction site.

Keywords

AIoT

Safety Management

Algorithm

Fire Detection

Virtual Fence

Fall

Unstable Behavior

Safety Helmet

연구목적: 건설현장 안전관리를 인적 역량 중심에서 첨단기술인 AIoT와 Mobile 기술을 활용한 시스템 중심의 관리체계로의 전환을 위한 건설현장 안전관리 활성화 방안을 마련하고자 한다. 연구방법: AIoT와 Mobile 기술을 활용한 건설현장 안전관리 모니터링 시스템이 건설현장의 유효성에 대하여 공동주택현장의 골조공종에 종사하고 있는 작업자를 대상으로 가상휀스, 화재감시, 안전모 미착용 인식 3개의 알고리즘을 적용하여 실험을 실시 하였다. 연구결과: 실험대상 근로자는 215명, 가상휀스 침입은 7.61명으로 불안전 행동 발생율은 실험대상 인원 대비 3.5%, 화재감지는 0.16건으로 실험대상 대비 불안전 행동 발생율이 0.07% 나타났으며, 안전모 미착용 인지는 월 평균 안전모 미착용은 8.79명으로 실험대상 대비 불안전 행동 발생율 4.05% 나타났다. 결론: AIoT와 Mobile 기술을 활용한 건설현장 안전관리 모니터링 시스템이 건설현장에 유효한 영향을 미치는 것으로 나타났다.

키워드

AIoT

안전관리

알고리즘

화재감지

가상휀스

추락

불안전행동

안전모

References

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Information

Publisher :The Korean Society of Disaster Information
Publisher(Ko) :한국재난정보학회
Journal Title :Journal of the Society of Disaster Information
Journal Title(Ko) :한국재난정보학회논문집
Volume : 18
No :1
Pages :154-162
DOI :https://doi.org/10.15683/kosdi.2022.3.31.154

[1] Chae, J.I. (2016). A Study on Smart City for Disaster and Safety with ICBM Technology Convergence : Focusing on the Case of Gimpo City with Perception of Local Government Officials, Ph. D.Dissertation, Inha University.

[2] Institute of Occupational Safety and Health at the Korea Occupational Safety and Health Agency. https://oshri.kosha.or.kr.

[3] Jung, S.C., Im, H.C. (2020). Industrial structure to reduce industrial accidents in the construction industry and How to improve the employment structure. Institute of Occupational Safety and Health at the Korea Occupational Safety and Health Agency, Ulsan.

[4] KALIS (Korea Authority of Land & Infrastructure Safety). https://www.kalis.or.kr.

[5] Kim, S.-Y., Kim, G.Y., Hwang, I.C., Kim, D.S. (2018). "Research of IoT concept implemented severity classification system." Journal of the Society of Disaster Information, Vol. 14, No. 1, pp. 28-35.

[6] Kwon, S.W. (2019). A Study on the Criminal Responsibility of Contractors under the Industrial Safety and Health Act, M.D Course, Department of Law, Graduate School, Sungkyunkwan University.

[7] Lee, M.C., Kim, T.Y., Kim, S.J. (2016). A Study on the Regulatory System of the Occupational Safety and Health. Institute of Occupational Safety and Health at the Korea Occupational Safety and Health Agency, Ulsan.

[8] Lee, Y.-J., Kang, S.K., Yu, H. (2019). "A study on risk factor identification by specialty construction industry sector through construction accident cases: Focused on the insurance data of specialty construction worker." Korea Industrial Information Systems Society, Vol. 24, No. 1, pp. 45-63.

[9] Min, G.-H., Cha, Y.W., Han, S.W., Hyun, C.T. (2019). "An analysis of relationship between unsafe acts and human errors of workersfor construction accident prevention." Architectural Institute of Korea, Vol. 35, No. 5, pp. 161-168.

[10] Ministry of Employment and Labor. https://www.moel.go.kr.

[11] Ministry of Land, Infrastructure and Transport. http://www.molit.go.kr.

[12] Naver. https://www.naver.com.

[13] Oh, S.H. (2018). A Study on the Improvement of Safety Certification System-Focused on the Occupational Safety and Health Act. M.D Course, Department of Safety and Environmental Engineering, Ulsan University.

[14] Roh, H.S. (2019). A Study on Improvement Plan of Practice Safety Manager Job by Industrial Safety and Health Act. M.D Course, Department of Safety and Environment System Engineering, Incheon University.

[15] S-1 CORPORATION. https://www.s1.co.kr/company.

[16] Shin, J.-H., Kim, J.K., Yeom, M.K., Kim, J.P. (2021). "Analysis of dtought vulnerable areas using neural-network algorithm." Journal of the Society of Disaster Information, Vol. 17, No. 2, pp. 329-340.

[17] Son, G.-S., So, S.H. (2021). "A study on fire alarm test of iot multi-fire detector combined smoke/CO and smoke/temperature sensors." Journal of the Society of Disaster Information, Vol. 17, No. 2, pp. 236-244.

[18] Wikipedia. https://ko.wikipedia.org/wiki.

[19] Yoon, T.-Y. (2020). "A study on the effective management of the safety and health diagnosis system in construction industry." Journal of the Society of Disaster Information, Vol. 16, No. 4, pp. 723-733.

Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

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