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2026 Vol.22, Issue 1 Preview Page

Original Article

31 March 2026. pp. 290-310
Abstract
Purpose: This study aims to empirically examine the mechanisms through which smart program–based safety management technologies contribute to the prevention of asphyxiation accidents in confined spaces. Method: To this end, a research model was established incorporating smart sensors, portable hazardous-gas detectors, and system integration and operational components, and both field-based case analysis and a questionnaire survey were conducted. Result: The results of regression and cross-tabulation analyses indicate that workers’ levels of risk awareness represent the most influential factor affecting perceptions of contribution to asphyxiation accident prevention (β = 0.392, p < .001), while hazardous-gas detection functionality also shows a statistically significant positive effect (β = 0.152, p = .011). In contrast, system integration and centralized monitoring structures were not identified as statistically significant direct influencing factors. In addition, 92.4% of respondents reported positive perceptions regarding the contribution of smart programs to the prevention of asphyxiation accidents, and differences in perception by age group were found to be statistically significant. Conclusion: These findings suggest that smart safety management technologies should be designed and operated with a focus on risk recognition and sensing functions rather than on system integration alone. This study demonstrates the empirical applicability of smart program–based safety management in high-risk confined-space work environments and presents policy and practical implications for future implementation.
연구목적: 본 연구는 스마트 프로그램 기반 안전관리 기술이 밀폐공간 질식사고 예방에 기여하는 작동 메커니즘을 실증적으로 규명하는 것을 목적으로 한다. 연구방법: 이를 위해 스마트 센서, 휴대용 유해가스 감지기, 시스템 연동 및 운영 요소를 포함한 연구모형을 설정하고, 실제 현장 적용 사례에 대한 사례분석과 설문조사를 병행하였다. 연구결과: 회귀분석 및 교차분석을 수행한 결과, 작업자의 위험 인식 수준은 질식사고 예방 기여 인식에 가장 큰 영향을 미치는 요인으로 확인되었으며(β = 0.392, p < .001), 유해가스 감지 기능 또한 유의한 정(+)의 영향을 나타냈다(β = 0.152, p = .011). 반면, 시스템 연동 및 통합관제 구조는 직접적인 영향 요인으로는 유의하지 않은 것으로 분석되었다. 또한 스마트 프로그램의 질식사고 예방 기여에 대해 긍정적으로 인식한 응답자는 전체의 92.4%에 달하였으며, 연령에 따른 인식 차이 역시 통계적으로 유의하게 나타났다. 결과: 스마트 안전관리 기술이 단순한 시스템 통합을 넘어 위험 인지와 감지 기능을 중심으로 설계·운영될 필요가 있음을 시사하며, 본 연구는 밀폐공간과 같은 고위험 작업 환경에서 스마트 프로그램 기반 안전관리의 실증적 활용 가능성과 정책적·실무적 시사점을 제시한다.
References
  1. Choi, Y.-J., Choi, H. (2018). “Accident prevention in confined spaces using IoT technology.” Journal of the Korea Institute of Information and Communication Engineering, Vol. 22, No. 9, pp. 1159-1164. 10.6109/JKIICE.2018.22.9.1159
  2. Chu, Y.-S. (2020). A Study on the Utilization of Smart Safety Management Technologies to Reduce Confined-Space Safety Accidents. Master Thesis, Kyung Hee University.
  3. Han, S.-B. (2021). A Study on a Remote Measurement System for Detecting Hazardous Gases in Confined Spaces. Master Thesis, Pukyong National University.
  4. Hwang, Y.C., Jang, S.J., Cho, H.S. (2011). “An empirical analysis on the factors affecting the adoption of smartphones.” Asia-Pacific Journal of Business Venturing and Entrepreneurship, Vol. 6, No. 4, pp. 59-74. 10.16972/apjbve.6.4.201112.59
  5. Jung, T.-H. (2022). A Study on Perceptions of Applying Smart Safety Technologies in Confined-space Construction of Aged Water Pipelines. Ph.D. Dissertation, Graduate School of Safety and Health Convergence Engineering, Soongsil University.
  6. Kiehl, Z.A., Durkee, K.T., Halverson, K.C., Christensen, J.C., Hellstern, G.F. (2020). “Transforming work through human sensing: A confined space monitoring application.” Structural Health Monitoring, Vol. 19, No. 6, pp. 1860-1871. 10.1177/1475921719840994
  7. Kwon, B.-H. (2016). “Characteristics and prevention of asphyxiation accidents occurring in confined spaces.” Journal of the Korea Safety Management & Science, Vol. 18, No. 3, pp. 1-10.
  8. Lee, J.-W. (2019). Tunnel Risk Analysis and Safety Management System based on Collapse and Hazard Detection using IoT Sensors in Tunnels. Master Thesis, Kyonggi University.
  9. Lee, S.H., Kim, J.Y., Kim, S.Y. (2016). “Implementation of indoor environment monitoring and automatic control system based on Internet of Things.” Journal of the Korea Industrial Information Systems Research, Vol. 21, No. 6, pp. 71-80. 10.9723/jksiis.2016.21.6.071
  10. Oh, C.S., Seo, M.S., Lee, J.H., Kim, S.H., Kim, Y.D., Park, H.J. (2015). “Indoor air quality monitoring systems in the IoT environment.” The Journal of Korean Institute of Communications and Information Sciences, Vol. 40, No. 5, pp. 886-891. 10.7840/kics.2015.40.5.886
  11. Park, H.N., Lee, H.S. (2024). “A study on the recognition of personal mobility parking spaces for enhancing pedestrian pathway shared use.” Journal of the Korea Institute of Spatial Design, Vol. 19, No. 5, pp. 381-392. https://doi.org/10.35216/kisd.2024.19.5.381 10.35216/kisd.2024.19.5.381
  12. Park, J.W., Kim, D.S., Joo, N.K. (2016). “Indoor environment monitoring and controlling system design and implementation based on internet of things.” Journal of the Korea Institute of Information and Communication Engineering, Vol. 20, No. 2, pp. 367-374. 10.6109/jkiice.2016.20.2.367
  13. Park, J.-Y. (2020). A Study on the Development of a Monitoring System for Confined-space Work Environments. Master Thesis, Hoseo University.
  14. Song, M.Y., Kim, D.H., Moon, Y.M. (2024). “Study on verifying the effectiveness of a risk assessment system using a smart platform: Focusing on mediation effect verification.” Journal of the Society of Disaster Information, Vol. 20, No. 4, pp. 879-890. https://doi.org/10.15683/kosdi.2024.20.4.879
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 : 22
  • No :1
  • Pages :290-310