• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.703-712
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• 2021

In this study, a formula was derived to calculate the damage impact distance using the Chemical Accident Response Information System (CARIS) so that local governments can decide on the evacuation and notification of 13 types of substances. The National Institute of Chemical Safety selected 16 out of 97 types of accident preparedness substances in 2018 and called them residents' evacuation preparedness substances. In a chemical accident, local governments should prepare for resident notification, such as emergency disaster texts. Using the CARIS in Chungju, this study modeled the damage-affected distances of 13 types of substances for the evacuation of residents. Under all conditions, the coefficient of determination R2 was 0.99 or higher, representing a range of at least 0.9921 to a maximum 0.9999. The relative standard deviation between the damage impact distance obtained using the calculation formula, and the CARIS result was compared. The minimum separation distance was corrected considering the actual chemical accident response situation, and the range was found to be between 0.58 and 5.97%. The damage impact distance can be calculated at the site using the calculation formula derived from the research, and local governments can determine whether to evacuate or notify residents.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.22-30
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• 2022

In order to prevent chemical accidents caused by human error, a chemical accident prevention and response training program using advanced technology was developed. After designing a virtual process based on the previously built pilot plant, chemical accident response contents were developed. A part of the pilot facility was remodeled for content realization and a remote control function was given. In addition, a DCS program that can control facilities in a virtual environment was developed, and chemical process operator training (OTS) that can finally respond to virtual chemical accidents was developed in conjunction with AR. Through this, trainees can build driving skills by directly operating the device, and by responding to virtual chemical accidents, they can develop emergency response capabilities. If the next-generation OTS like this study is widely distributed in the chemical industry, it is expected to greatly contribute to the prevention of chemical accidents caused by human error.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1706-1712
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• 2022

Recently, the safety of chemical substances has gained attention due to incidents occurring in petrochemical industrial complexes, such as gas leaks and fires. In particular, industrial complexes in Ulsan and Yeosu (South Korea) are valuable as they significantly contribute to the petrochemical industry, but accidents may occur due to chemical leakage. Therefore, in this study, sensor nodes are configured at an interval of 20 [m] based on outdoor facilities standards to respond to chemical accidents, and exposure consideration of 8 h (TWA) and 15 min (STEL) are proposed in TLVs. The proposed system pre-processes data collected in multi-hop communication at a cycle of 0.6-0.75 [s] using Python and stores it in the MySQL database through SQL and a real-time remote monitoring system that updates the stored data once every 5 s is implemented by linking MySQL and Grafana.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.453-454
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• 2011

에너지 플랜트, 화학공장 등 대형 기계설비의 복잡도 증가는 그에 따른 위험요소 복잡도를 증가시키고 있다. 대형 기계설비에 대한 위험 관리와 시스템 신뢰도 향상을 위해서는 위험도 기반의 안전 설계/해석, 상태 감시 및 진단을 이용한 설비 모니터링, 인적 신뢰도 향상이 요구되며 설계 단계에서부터 운영 및 유지보수 단계까지의 시스템 생애주기 전반에 걸친 지속적인 활동을 필요로 한다. 인적 신뢰도를 향상시키기 위해서는 설비 운영자가 응급 또는 이상상황에 대처할 수 있는 능력 즉, 안전사고 대응 능력 확보가 필수적이다. 대상 설비에 대한 실제 훈련은 시간, 비용, 훈련자의 안전 확보가 어렵고 반복적인 훈련 및 평가가 어렵기 때문에 가상 환경을 이용한 안전대응 훈련 플랫폼을 설계하였다. 훈련자에게 몰입형 가상 환경을 제공하기 위하여 가상현실 및 안전사고 시뮬레이션 기술을 이용하였으며 이를 통하여 훈련자의 안전을 유지하면서 안전대응 능력을 향상시킬 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1181-1182
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• 2014

가상현실 기반 훈련 시뮬레이터는 현실에서 재현이 어렵거나 불가능한 상황을 가상공간 상에 구현하여 훈련을 수행할 수 있는 시스템이다. 화학공장, 플랜트 등 대형 기계설비 내에서 발생하는 각종 사고에 대한 대응훈련은 훈련시간 및 비용 증가, 훈련자의 안전 확보가 어렵고 반복적인 훈련 및 평가가 어렵기 때문에 가상현실을 이용한 훈련 시뮬레이터를 통하여 수행되는 것이 바람직하다. 본 논문에서는 대형 기계설비 안전대응 훈련 시뮬레이터의 훈련자 평가 시스템을 설계하였다. 훈련의 정량적인 평가를 위하여 훈련 시나리오 내 임무수행 여부, 수행시간/거리에 대한 평가와 함께 특정 훈련동작에 대한 평가를 실시하기 위하여 모션캡쳐 데이터를 활용한 훈련동작 평가 모듈을 설계하였다. 평가 결과의 시각화를 통해 훈련자 피드백 제공 및 반복적인 훈련 수행을 통한 안전대응 능력 향상이 가능하다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2003.05a
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• pp.39-42
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• 2003

현대의 화학공장에서는 소비자의 요구를 충족시키기 위한 생산품 생산 및 제품의 고급화, 규격화 등으로 인하여 공정 및 설비가 더욱 복잡해지고, 공정운전조건이 세분화됨으로써 고온, 고압에서 사용·취급·저장되는 유해화학물질의 특성으로 인하여 대규모의 잠재 위험성이 증가하는 현실이다.(중략)

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.308-316
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• 2020

This study attempted to derive an equation for calculating the damage impact distance using CARIS so that local governments can quickly determine evacuation and notification of residents in the event of an ammonia-release accident. Ammonia is an accident-causing substance and one of 16 substances to prepare for resident evacuation. It is the most frequently occurring chemical with 58 chemical accidents from 2014~2019. The study derives an equation for calculating the damage impact distance according to the exposure time of ammonia based on AEGL, an acute exposure standard applicable to the general population, which is includes vulnerable groups such as infants, children and the elderly and designated by the EPA. The calculation formulas for each concentration and exposure time to classify the hazardous area according to AEGL-3 and the semi-dangerous area according to AEGL-2 were derived. A comparison of the relative standard deviation between the damage impact distance values of CARIS revealed that is was in the range of 0~2%. Local governments should consider the actual accident situation and apply the appropriate damage-affected distance calculation formula derived from the study to evacuate residents near the origin of the accident or use for protective measures such as indoor evacuation notification.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.353-354
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• 2023

과거와 달리 유독가스가 생성되는 화재, 폭발, 화학사고 및 급격한 기압차를 경험하게 되는 선박 침몰 구조 등 다양한 재난 혹은 사고 상황에서 고압산소치료가 욕구되며, 이를 수행할 수 있는 고압산소치료챔버는 재난에 대응하는 핵심 자원으로 그 수량과 배치가 적절해야 한다. 따라서 다양한 종류의 재난에서 발생하는 유독가스 피해자에게 고압산소치료는 필수적이나 본 연구에 의하면 국내에는 고압산소치료챔버의 숫자와 동시에 고압산소치료로 수용할 수 있는 환자수에도 한계가 있고 그 분포의 불균형도 존재하고 있어 재난 시 인명 피해 감소의 기반 장비, 시설로서 고압산소챔버의 균형있는 확산, 적용이 시급한 실정이며, 이는 가칭 재난고압산소지수로 객관화할 수 있다. 국내에서는 인구밀집지역인 수도권이 고압산소치료가 필요한 재난에 대한 대응 기반이 부족하다가 향상되고 있으며 부산, 경남 권역에 고압산소치료 자원이 편중된 현상을 보이고 있다. 고압산소치료 필요한 대량의 중환자 발생 시는 국내 전체의 고압산소치료기 활용 여부에 대한 실시간 모니터링 시스템이 필요하고 필요 시 원거리 피해자 전원 시스템을 갖추어야 하므로 이는 향후 구축해야 할 사항으로 이를 위한 전국적 고압산소치료기 모니터링 시스템이 필요하다.

• Journal of the Korean Institute of Gas
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• v.16 no.4
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• pp.44-51
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• 2012

It is more important to realize safety management, medium-large accident prevention and risk prediction as accident of industry facilities can generate enormous physical and human damage because most energy plant might handle toxic substance. Especially, atmospheric dispersion system, which is able to simulate situation, have been used for release accident of toxic substance since the accident can show different of dispersion range and velocity according to release material, storage facility and atmospheric status. However those systems have been used generally in design step of industry facility and are difficult to deal with release accident quickly. Although some researches and cases have been studied for using real-time atmospheric information, there are insufficient system for processing quickly release accident. This paper aims to develop real-time smart atmospheric dispersion system that can deal with release accident quickly by enhancing distinct characteristics and efficiency of energy plant, and select release time and area using intelligent algorithm as accident prevention type.

• Journal of the Korean Institute of Gas
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• v.22 no.6
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• pp.136-143
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• 2018

Cellular automata have been applied to simulations in many fields such as astrophysics, social phenomena, fire spread, and evacuation. Using cellular automata, this study develops a model for consequence analysis of the dispersion of hazardous chemicals, which is required for risk assessments of and emergency responses for frequent chemical accidents. Unlike in cases of detailed plant safety design, real-time accident responses require fast and iterative calculations to reduce the uncertainty of the distribution of damage within the affected area. EPA ALOHA and KORA of National Institute of Chemical Safety have been popular choices for these analyses. However, this study proposes an initiative to supplement the model and code continuously and is different in its development of free software, specialized for small and medium enterprises. Compared to the full-scale computational fluid dynamics (CFD), which requires large amounts of computation time, the relative accuracy loss is compromised, and the convenience of the general user is improved. Using Python open-source libraries as well as meteorological information linkage, it is made possible to expand and update the functions continuously. Users can easily obtain the results by simply inputting the layout of the plant and the materials used. Accuracy is verified against full-scale CFD simulations, and it will be distributed as open source software, supporting GPU-accelerated computing for fast computation.