Research on Dispersion Prediction Technology and Integrated Monitoring Systems for Hazardous Substances in Industrial Complexes Based on AIoT Utilizing Digital Twin

doi:10.15683/kosdi.2024.9.30.484

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2024 Vol.20, Issue 3 Preview Page Next Page

Original Article

Research on Dispersion Prediction Technology and Integrated Monitoring Systems for Hazardous Substances in Industrial Complexes Based on AIoT Utilizing Digital Twin 디지털트윈을 활용한 AIoT 기반 산업단지 유해물질 확산예측 및 통합관제체계 연구: 손민호¹*ㆍ권일룡²
Min Ho Son¹*, Il Ryong Kweon²; ¹Director, Digital Platform Headquarters, Podo inc., Sungnam, Republic of Korea
²CEO, Podo inc., Sungnam, Republic of Korea

30 September 2024. pp. 484-499

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Abstract

Purpose: Recently, due to the aging of safety facilities in national industrial complexes, there has been an increase in the frequency and scale of safety accidents, highlighting the need for a shift toward a prevention-centered disaster management paradigm and the establishment of a digital safety network. In response, this study aims to provide an information system that supports more rapid and precise decision-making during disasters by utilizing digital twin-based integrated control technology to predict the spread of hazardous substances, trace the origin of accidents, and offer safe evacuation routes. Method: We considered various simulation results, such as surface diffusion, upper-level diffusion, and combined diffusion, based on the actual characteristics of hazardous substances and weather conditions, addressing the limitations of previous studies. Additionally, we designed an integrated management system to minimize the limitations of spatiotemporal monitoring by utilizing an IoT sensor-based backtracking model to predict leakage points of hazardous substances in spatiotemporal blind spots. Results: We selected two pilot companies in the Gumi Industrial Complex and installed IoT sensors. Then, we operated a living lab by establishing an integrated management system that provides services such as prediction of hazardous substance dispersion, traceback, AI-based leakage prediction, and evacuation information guidance, all based on digital twin technology within the industrial complex. Conclusion: Taking into account the limitations of previous research, we used digital twin-based AI analysis to predict hazardous chemical leaks, detect leakage accidents, and forecast three-dimensional compound dispersion and traceback diffusion.

Keywords

Digital Twin

Diffusion Prediction

Diffusion Backtracking

AIoT

Industrial Complex

연구목적: 최근 국가 산업단지 안전시설물의 노후화로 안전사고 증가와 대형화로 예방 중심의 재난관리 패러다임 전환 및 디지털 안전망 구축 등 대대적인 산업단지 재난관리시스템의 필요성 대두되고 있다. 이에 본 연구는 디지털트윈 기반의 통합관제기술을 통해 재난 시 유해물질의 확산 예측과 사고 발생 지점 역추적, 안전한 대피경로를 제공하여 보다 신속하고 정밀한 사고대응을 위한 의사결정을 지원하는 정보체계를 제공하고자한다. 연구방법: 선행 연구 사례의 한계점인 실제 유해물질의 특성과 기상 상황에 따라 지표면 확산 또는 상층부 확산, 복합 확산 등 다양한 시뮬레이션 결과를 고려하였다. 또한 시공간 사각지대에서 발생하는 유해물질 누출에 대한 주변 IoT 센싱 데이터를 활용하여 누출 지점을 예측하는 역추적 모델을 통해 시공간 모니터링의 한계를 최소화하는 통합 관리 체계를 설계하였다. 연구결과: 구미산업단지 내에 리빙랩 2곳의 실증 기업을 선정하여 AIoT 센서를 설치하고, 디지털트윈 기반의 산업단지 유해물질 확산예측, 역추적, AI 누출예지 및 대피정보 안내 서비스를 제공하는 통합관리체계를 구축하여 리빙랩을 운영하였다. 결론: 이전 연구의 한계를 고려한 디지털트윈 기반의 AI 분석을 통해 유해화학물질 누출감지와 누출사고 예지, 3차원 복합 확산예측 및 역추적 확산을 예측하였다.

키워드

디지털트윈

확산예측

확산역추적

인공지능사물인터넷

산업단지

References

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Choi, J.-G., NamKung, K., Park, K.-I., Park, S.-S., Kim, S.-T., Lee, I.-H., Koo, Y.-S. (2001). "Realtime air dispersion modeling system." Korea Multimedia Society, Spring Conference Proceedings, pp. 537-540.
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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 : 20
No :3
Pages :484-499
DOI :https://doi.org/10.15683/kosdi.2024.9.30.484

[1] Choi, G.-S., Lim, J.-T., Han, J.-W․, Baek, E.-S., Yu, W.-J., Park, K.-S. (2020). "A study on the reasonable estimation of consequence of chemical release." Journal of the Korean Institute of Gas, Vol. 24 No. 5, pp. 20-28.

[2] Choi, H.-W., Kim, D.-Y., Kim, J.-J., Kim, K.-Y., Woo, J.-H. (2012). "Study on dispersion characteristics for fire scenarios in an urban area using a CFD-WRF coupled model." Korean Metorolgical Society, Vol. 22, No. 1, pp. 47-55. 10.14191/Atmos.2012.22.1.047

[3] Choi, J.-G., NamKung, K., Park, K.-I., Park, S.-S., Kim, S.-T., Lee, I.-H., Koo, Y.-S. (2001). "Realtime air dispersion modeling system." Korea Multimedia Society, Spring Conference Proceedings, pp. 537-540.

[4] Doh, S.-H. (2010). Air Quality and Health Risk Assessment for the City of Daegu using CALPUFF Diffusion Model. Ph.D. Dissertation, Kyemyong University.

[5] GIFKOREA. (2022). http://www.gifkorea.co.kr/html/.

[6] Han, M.-H., Kim, E.-H., Jeong, H.-J., Jeong, H.-S., Park, M.-S., Hwang, W.-T. (2013). "Field tracer experiments under severe wether conditions for the validation of the dispersion of radioactive materials." Korean Assocation for Radiation Protection, Vol. 38, No. 4, pp. 208-213. 10.14407/jrp.2013.38.4.208

[7] Jeong, H.J., Park, M.S., Hwang, W.T., Kim, E.H., Han, M.H. (2013). "Development and application of the radiation risk assessment program RADCONS." Environmental Impact Assessment, Vol. 22, No. 1, pp. 89-97. 10.14249/eia.2013.22.1.089

[8] Kang, S.-K., Chang, H.-K., Park, J.-Y., Kim, J.-W., Choi, K.-S. (2021). "Methodology to evaluate the ability of colloidal crystal-based colorimetric sensor to detect VOCs." Journal of Odor and Indoor Environment, Vol. 20, No. 3, pp. 239-249. 10.15250/joie.2021.20.3.239

[9] Kim, E.-R., Lee, G.-J., Yi, C.-Y. (2012). "Dispersal of hazardous substance in a city environment based on weather conditions and its risk assessment at the pedestrian level." Journal of Environmental Impact Assessment, Vol. 26, No. 4, pp. 245-257.

[10] Korea Atomic Energy Research Institute (2020). Ultra-Low-Power Leakage Detection Technology, Korea Atomic Energy Research Institute Blog(https://blog.naver.com/atomkaeri/222214639504).

[11] Koo, Y.-S., Kim, S.-T., Choi, J.-H., Oh, M.-J., Chon, S.-S., Ahn, D.-H. (2006). "Odor dispersion modeling in livestock waste treatment facilities." Journal of Korean Society of Odor Research and Engineering, Vol. 5, No.1, pp.10-18.

[12] Lee, H.-W., Jung, Y.-M., Choi, H.-J. (2010). "The study of meteorological contribution factor analysis and flow field modeling on high level ozone episode days in each urban." Korean Society for Atmospheric Environment, Fall Conference Proceedings, pp. 330-330.

[13] Lee, J.-C., Jeon, B.-H., Kim, H.-S. (2022). "A study on the improvement of the system to reduce damage on ammonia chemical accident." Journal of the Society of Disaster Information, Vol. 18, No. 2, pp. 306-313.

[14] Lee, J.-H., Kim, M.-R., Ko, J.-C. (2021). "A study on the development plan for promotion of advanced disaster-safety awareness." Journal of the Society of Disaster Information, Vol. 17, No. 3, pp. 415-426.

[15] Nuclear Safety Commission (2022). 2022 National Radiation Disaster Preparedness Joint Exercise, Press Release (2022. 11.21), Seoul, Korea.

[16] Samsung C&T Corporation (2022). https://www.samsungcnt.com/index.do.

[17] SungKyunKwan University (2019). Investigation of selective sensing chromic material and its fabrication process for toxic chemicals, Ministry of Science and ICT, Seoul, Korea.

[18] YUMIN (2022). https://www.yuminst.co.kr.

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

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