• Journal of the Korean Institute of Gas
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• v.12 no.4
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• pp.29-33
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• 2008

The focus of this study is to develop a virtual reality program for safe training and virtual reality of hydrogen station. This programme consists of 4 modules such as hydrogen and safety module, hydrogen station module, hypothetical experience module, and accident scenarios module for hydrogen experts. User can experience with principles and operation condition and collect the information of hydrogen station by this programme and can simultaneously study the probable scenarios, emergency response plan/standard operating procedure about hydrogen stations. It makes it possible to educate and safety publicity for the trainee. This virtual reality program will be expected to be helpful for hydrogen station's construction propagation and technology development which is essential for hydrogen energy induction.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1713-1716
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• 2008

최근 배출되는 미량유해물질로 1991년 페놀, 2004년 1,4-다이옥산, 2006년 퍼클로레이트 검출 등 빈번하게 원수수질 오염사고가 발생하고 새로운 미량유해 화학물질의 배출이 우려됨에 따라, 일부 시민단체, 시의회, 언론 등에서 깨끗하고 안전한 상수원수 확보를 위한 근본적인 대책을 요구하는 목소리가 커지고 있다. 이에 대한 대책의 일환으로 취수원 이전에 대한 타당성 등이 검토되고 있다. 이러한 요구를 바탕으로 본 연구에서는 K-WEAP 모형을 이용하여 낙동강수계 물수지 분석을 실시하였다. 관련된 기존자료를 이용하여 용수수요량을 산정하였으며, 갈수량시 물수지 분석을 실시하였다. 연구에 사용된 K-WEAP 모형은 SEI-B(Srockholm Environment Institute, Boston Center)에서 개발된 WEAP에 기반을 두고 우리나라에 특성에 맞게 모의형태를 개선하고 한글화한 모형으로 분석대상 지역으로서 도시지역과 농업지역, 단일 소유역이나 복잡한 하천유역의 물 수요-공급 시스템에 적용할 수 있다. 또한 K-WEAP 모형은 용수목적별 수요량 분석, 물 절약, 수리권과 배분 우선순위, 지하수와 하천유량 모의, 저수지 운영, 수력발전, 오염물질 추적, 생태계 필요수량 분석과 같은 광범위한 부문의 문제들까지 다룰 수 있다. 본 연구에서 물수지 분석에 사용된 대상구간은 낙동지점에서 고령교지점까지 약 120km이며, 낙동강에 유입되는 지류로는 감천과 금호강을 대상에 포함하였다. 대상구간에 대해서는 3가지의 시나리오를 바탕으로 모의를 진행하였다. 선정된 3가지 시나리오는 현재의 대구 인근지역의 취수와 방류를 고려하는 상태와 현실가능성이 있는 2가지의 대안에 대해서 분석을 실시해 보았다. 대안들은 각각의 대구 취수시설을 구미 상류로 이전하여 취수하는 상황과 구미지역 및 칠곡지역의 방류구 시설을 하류로 이전하여 방류하는 상황으로 가정하여 분석을 실시하였다. 분석결과 현재 상태의 시나리오에서만 갈수기시 만족할 만한 결과를 보여주었고 나머지 2가지의 시나리오에서는 유량이 부족함을 나타났다. 현재의 상태를 모의한 시나리오를 제외한 시나리오의 분석에서는 갈수기 시에 물 부족을 겪게 된다. 이는 낙동강 상류에서 추가방류가 없으면 해결되지 못하는 상황으로 다른 대안들(신규 댐 방류 등)에 대한 추가적인 시나리오 분석이 필요할 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.3153-3158
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• 2014

Children in schoolzone accidents occur frequently in order to actively respond to the situation on the module for automated recognition research. By the vehicle penetration such like schoolzone, child object recognition, and GPS coordination information, the monitoring scenario can be constructed, and if an event occurs corresponding to strategic scenario so that suitable reaction can be provided to increase safety level to the schoolzone. In this paper, a GPS sensor and the image sensor and the monitoring server on the network based on the integration of context-aware methods have been studied. The image sensor section and the GPS section through analysis of the situation analysis and recognition of the object based on the scenario can actively cope with the situation according to the methods proposed.

• 한국가스학회:학술대회논문집
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• 2002.05a
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• pp.41-45
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• 2002

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.13-16
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• 2011

에너지플랜트는 위험성이 높은 유해화학물질을 취급해서 누출사고가 발생 할 가능성이 높다. 유해화학물질이 누출되어 대기 중에 확산되면 강한 유독성으로 인해 대형피해를 불러온다. 유해화학물질의 누출로 인한 대기 중의 확산피해 최소화하는 방안에는 확산 될 범위를 산출하여 적절한 사고대응조치를 취하는 것이다. 대기확산모델의 시뮬레이션을 이용한 대기확산범위 산출은 가상으로 설정 된 시나리오의 데이터를 사용자가 수동으로 입력하여 결과를 도출한다. 가상 데이터로 산출 된 결과는 정확성이 결여 될 수 있으며 실시간 대기확산범위 산출이 불가능하다. 본 연구에서는 유해화학물질의 대기확산범위를 즉각적으로 산출 할 수 있는 실시간 대기확산시스템을 설계하고 구현한다. 대기확산범위 산출에 필요한 데이터는 실시간으로 수집 된 실제 데이터를 이용한다. 실시간으로 수집된 실 데이터를 토대로 데이터마이닝기법을 통해 자율적인 누출사고를 탐지하고 누출지점을 특정 할 수 있는 지능화모듈을 설계한다. 대기확산모델은 유해화학물질의 증기운의 무게에 따라 가우시안과 SLAB모델을 이용한다. 실시간으로 산출 된 대기확산범위는 ERPG의 각 단계의 농도 기준에 근거하여 총 3단계로 구분해서 GIS맵 상의 유저인터페이스에 표현한다. 산출된 대기확산피해범위는 현장 작업자의 모바일기기로 사고와 관련 된 대응조치와 함께 신속히 전파할 수 있도록 구현해서 누출로 인한 유해화학물질의 확산사고피해 최소화를 도모한다.

• Fire Science and Engineering
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• v.34 no.2
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• pp.72-85
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• 2020

This article is a study on the activity of rescue workers for designing simulation training scenarios assuming chemical accidents. On the basis of the complexity of the indoor scene in the case of chemical accidents and terrorism, we designed a 12-step simulation training scenario for two teams to analyze the improvement in firefighters' capabilities. On the basis of activity measurement in the simulation scenario, step 2 of training had the most drops in the maximum heart rate, as follow: N1, from 163 bpm to 153 bpm; N2, from 186 bpm to 151 bpm; N3, from 168 bpm to 162 bpm; and N4, from 166 bpm to 152 bpm. In terms of intensity level in the allowable activity time, it was found that in step 2 both N1 and N2 reduced from Level 5 to Level 3, N3 remained at Level 4, N4 reduced from Level 4 to Level 3, and the maximum allowable activity time increased.

• Fire Science and Engineering
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• v.33 no.3
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• pp.63-73
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• 2019

This study examined the activity of the simulated training scenarios and special rescue crew assuming a chemical accident inside the building. To improve the response ability and safety of rescue personnel in the event of a chemical accident, a total of eight stages of simulated training scenarios were conducted and the activity was measured. As a result of the activity measurement according to the simulation training scenario, the average maximum heart rate of the rescuers was the highest at 177.50 ppm in the 4^th stage, and then 176.67 ppm for the 5^th step, 171.17 ppm for the 2^nd step, 169.33 ppm for the 3^rd step, 162.17 ppm for the 6^th step, 159.58 ppm for the 7^th step, 148.75 ppm for the 8^th step, and 139.33 ppm for the 1^st step. The mean maximum respiratory rate was the highest at 38.17 rpm in the 4^th stage, followed by 37.58 rpm in the 5^th stage, 32.00 rpm in the 6^th stage, 31.58 ppm in the 7^th stage, 31.33 rpm in the 3^rd stage, 31.08 rpm in the 2^nd stage, and 28.00 rpm in the 8^th stage. The 1^st stage was 22.67 rpm. In addition, body water reduction measurements were reduced by up to 0.7 g due to the training intensity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.5
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• pp.85-97
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• 2009

Continuous increase of traffic demand has caused confirmed congestion, fuel consumption, emission, safety, etc. as serious social problems at the present time. The Smart Highway Project has been conducted by the supervision of Ministry of Land, Transport and Maritime Affaire to solve such problems since 2007. The Smart Highway Project includes LDWS (Lane Departure Warning System), a system to prevent broadside collisions and accidents, as a sub-technology of road-vehicle associating technologies. This system warns drivers when their vehicle deviates from the lane where they are traveling at high-speed on the highway. In this paper, the LDWS was evaluated using CBA to analyze the socio-economic consequences. Estimated benefits include reduction of accidents and convenience of drivers. In addition, the economics according to the distribution rate is various when it comes to Lane Departure Warning Technology, the economics of both cases - positive scenario and negative scenario, which was analyzed. As a result, the Benefit-Cost ratio(B/C) of negative scenario showed 0.97 in 2020 and 1.36 in 2030 while B/C ratio of the positive scenario showed 1.04 in 2020 and 1.59 in 2030, which indicated that the higher distribution rate is, the higher the economics generates. Therefore, it is judged that the introduction of Lane Departure Warning Technology will result in high economics.

• Journal of the Korean Institute of Gas
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• v.22 no.1
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• pp.18-25
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• 2018

As the industries become more developed, the amounts of hazardous materials have been increased. Because of that, the possibility of accidents in plants is expected to increase. Especially, the dispersions of toxic materials cause serious effect to human life and environment, So it is very important to confirm safety distance of discharge accident. For this paper, we proposed new algorithms for toxic liquid, such as benzene and acrylonitrile. and using this argorithm, we are going to predict safety distance. The scenario of accidental release was assumed to be the release of entire quantity in 10 minutes is defined as worst-case scenario and Instantaneous release. Also the release from a partial rupture of line is used as an alternative case scenarios as NICS(National Institute of Chemical Safety) guidelines. Using ALOHA program and the algorithm for liquid toxic materials and suggested the graph, as well as correlated equations which can utilize emergency responders.

• Journal of Auto-vehicle Safety Association
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• v.10 no.4
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• pp.40-49
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• 2018

Currently, a lot of researches about high risk test scenarios for autonomous vehicle and advanced driver assistance systems have been carried out to evaluate driving safety. This study proposes new type of test scenario that evaluate the driving safety for autonomous vehicle by reconstructing accident database of national automotive sampling system crashworthiness data system (NASS-CDS). NASS-CDS has a lot of detailed accident data in real fields, but there is no data of accurate velocity in accident moments. So in order to propose scenario generation method from accident database, we try to reconstruct accident moment from accident sketch diagram. At the same step, we propose an accident of occurrence frequency which is based on accident codes and road shapes. The reconstruction paths from accident database are integrated into evaluation of simulation environment. Our proposed methods and processor are applied to MILS (Model In the Loop Simulation) and VILS (Vehicle In the Loop Simulation) test environments. In this paper, a reasonable method of accident reconstruction typology for autonomous vehicle evaluation of feasibility is proposed.