승선 인원이 많은 실습선은 화재가 발생하는 경우 대형 인명피해로 확장될 수 있으며 이에 따라 선원법 및 Safety Life At Sea(SOLAS)에서는 퇴선 훈련에 대한 중요성을 강조해 왔다. 따라서 본 연구에서는 승선 인원이 많은 국립목포해양대학교의 세계로호를 대상선박으로 선정하여 preliminary hazard analysis(PHA) 정성적 위험성 평가 기법을 통해 각 deck의 화재 사고 위험빈도와 심각성에 대하여 예측하였다. 또한 위험성이 높은 구역에서의 화재를 가정 한 뒤, 그 위험성을 정량적으로 예측하기 위하여 대피 시간 및 인구 밀도에 대 한 시뮬레이션을 수행하였다. 그 결과, 총 대피시간이 인구 분포가 한 구역에 집중되어 있던 식사 시간을 가정한 시나리오에서 501초로 가장 길게 예측되었으며 시나리오에 따라 일부 deck에서 1.4pers/㎡ 이상의 상대적으로 높은 인구밀도를 나타내며 대피 인원이 정체되는 현상을 보였다. 본 연구 결과는 다양한 피난 시나리오에 따른 대피시간 및 인구밀도를 정량화하여 실습선의 상황에 맞는 훈련 시나리오 를 개발하기 위한 기초자료로서 사용될 것으로 보이며 추후 수학적 모델과 실험값의 비교를 통하여 연구를 확장할 수 있을 것으로 예상 된다.

The objectives of this study is to classify evacuation types, derive the characteristics of 4 types, develop and discover evacuation routes within the performance hall space, and present the statistical classification results of the evacuation classification model by classification type. To achieve this purpose, the characteristics of each evacuation type's four types are applied through a network reliability analysis method and utilized for institutional improvement and policy. This study applies for the building law, evacuation and relief safety standards when establishing a performance hall safety management plan, and reflects it in safety-related laws, safety standards, and policy systems. Statistical data by evacuation type were analyzed, and measurement characteristics were compared and analyzed by evacuation types. Evaluate the morphological similarity and reliability of evacuation types according to door width and passage length and propose the install position of evacuation guidance sign boards. The results of this study are expected to be used as basic data to provide operation strategies for safety facility evacuation information sign boards according to evacuation route classification types when taking a safety management plan. The operation strategy for the evacuation sign boards installation that integrates employee guidance and safety training is applied to the performance hall safety management plan. It will contribute to establishing an operational strategy for performance space safety when constructing performance facilities in the future.

해외 위험지역에서 다양한 위난상황으로부터 재외국민을 보호하고 본 국으로 안전한 귀환을 위해 외교·국방·정보 역량을 동원하여 수행되는 활 동이 비전투원후송작전(NEO)이다. 미국과 한국이 수행했던 NEO 사례분 석을 바탕으로 도출된 NEO의 성공적인 수행을 위한 요인과 시사점은 다 음과 같다. 첫째, NEO 계획의 핵심요소는 변화하는 작전환경에 대한 상 황인식과 대비태세이다. 둘째, 후송작전의 기본원칙인 정확성, 보안, 속 도를 기반으로 하여 적대세력의 접근경로와 공격유형을 파악하고, 급변 하는 위협환경에 대응할 수 있는 신속대응군과 후송부대를 투입해야한 다. 셋째, NEO 계획, 경보발령, 집결·재배치, 후송·귀환 과정에서 국무부 /외교부, 국방부, 재외공관, NEO 수행부대 간의 효과적인 협력과 조정 업무가 이루어져야한다. 넷째, 국방부와 정보기관은 현지 임무수행단에 게 작전지역 평가, 위협평가, 적대세력의 위협방책 식별, 대응책 등의 정보를 제공해야한다. 다섯째, 내란과 분쟁지역에서 NEO는 시·공간 제 한사항이 많은 원거리 해외지역에서 작전이기 때문에 동맹국·우방국과의 긴밀한 군사협력 및 연합작전도 필수적이다.

The purpose of this study is to propose measures to increase evacuation safety by calculating the habitable time using a fire and evacuation simulation program for the Room-escape cafe currently in operation, and comparing and analyzing it with the evacuation required time. Assuming a fire due to overheating of electric heaters in use in front of the warehouse, the habitable time was calculated through fire simulation, and the occupant's evacuation time calculated through evacuation simulation according installation of safety facilities, etc. was compared and analyzed with the habitable time. In the case of escape room cafes with safety facilities installed, evacuation safety was satisfied, but in escape room cafes without safety facilities, the evacuation safety was not secure. As a result of analyzing evacuation safety for each scenario based on the ASET analyzed in the fire simulation, it was found that in scenario 1, evacuation safety was secured and everyone successfully evacuated, while in scenario 2, no one succeeded in evacuation. These results can be said to confirm that the installation of safety facilities is very important in business establishments such as escape room cafes, which become enclosed structures when games are started.

Human and material damage can be reduced if the risk is evaluated by engineering analysis of fire combustion products, smoke concentration, and smoke movement speed in the event of a fire in apartment houses and officetels. In this study, a lot of research on related safety evaluation in the basement needs to be studied and reflected in design, so experimental research was conducted to analyze the flow of smoke through computer simulation and provide analysis data through evacuation safety evaluation. First of all, the five-story underground parking lot subject to simulation has a large floor area, which is advantageous for improving evacuation safety performance, but it uses temperature detectors to increase detection time and fire spread speed. Second, it was analyzed that the evacuation time at all evacuation ports did not exceed the evacuation time, and as the time from the start of evacuation to the evacuation time was 216.9% compared to the travel time, it was evaluated that the safety performance of the evacuation was secured. Third, the above simulation results are a comprehensive safety evaluation based on the non-operation of fire extinguishing facilities in the fire room to increase safety, which means that smoother evacuation safety performance can be secured by linking fire extinguishing facilities.

항해 중인 선박은 해양 기상의 악화에 큰 영향을 받으므로 적절하게 대비하 여야 한다. 특히, 강력한 바람과 높은 파고를 동반하는 태풍은 선박에 치명적일 수밖에 없으며, 인명 손상과 재산상 피해, 해양오염을 유발하는 해양사고로까지 이어지기도 한다. 이러한 해양사고를 예방하기 위하여 태풍의 내습이 예보되면 선박은 안전한 해역을 선정하여 피항하여야 하며, 외부적으로 피항 중인 선박 에 대한 안전관리가 이루어져야 한다. 그러나 해마다 다수의 태풍이 발생하고, 우리나라에도 영향을 미치고 있지 만, 선박에 대한 피항지 지정과 안전관리가 원만하게 이루어지지 못하고 있다. 태풍이 내습할 때마다 많은 선박이 피항지 선정에 어려움을 겪고 있으며, 피항 중 충돌, 좌초 등 각종 사고가 발생하고 있다. 따라서 태풍 등 기상악화에 기인 한 선박에 대하여 피항지를 제공하여 조난을 예방하고, 피항 중인 선박을 안전 하게 관리할 수 있는 법제적 개선방안을 마련할 필요가 있다. 이 연구는 우리나라에 영향을 미치는 태풍의 현황과 태풍 및 기상악화에 의 한 해양사고 사례분석을 통해 태풍 피항지 지정의 필요성을 검토한다. 그리고 유엔해양법협약을 비롯한 국제규범과 국내 법령을 살펴보고, 외국선박에 대한 연안국의 태풍 피항지 제공 의무가 존재하는지, 태풍 피항 관련 국내법의 실효 성이 있는지를 검토하며, 태풍 피항지를 지정하여 운영함에 따라 발생할 수 있 는 법적 쟁점에 대하여 고찰하고자 한다. 그리고 태풍 내습에 대비한 피항지 지정 및 피항 선박 안전관리 방안을 제시한다.

Social welfare facilities are used by a wide range of local residents, including vulnerable populations such as the elderly, children, and people with disabilities. During emergencies like fires, confusion can arise as these individuals try to evacuate. Evacuation simulation results have shown that utilizing evacuation systems based on specific evacuation scenarios can significantly decrease the time required for evacuation compared to general evacuation procedures. By anticipating potential fires based on changes in social and facility environments, appropriate evacuation scenarios can be developed and applied to evacuation systems, thus contributing to the safety and security of individuals during emergencies. In conclusion, for social welfare facilities that serve a large number of people, it is necessary to expand the focus on performance-based design depending on the size of the facility, and to continuously develop and train for appropriate evacuation scenarios that align with changing facility environments.

This paper attempted to analyze the correlation between the risk image of the evacuees in the tunnel and the variables that affect the evacuation behavior due to the closed feeling. As to whether there is a difference in the level of recognizing the tunnel risk image according to the distribution of jobs, the null hypothesis was rejected at the significance probability of 0.002, so it can be said that the level of recognition of the tunnel risk image varies depending on the job group. In the distribution difference between gender and tunnel risk image recognition level, the significance probability was 0.012, indicating that the null hypothesis was rejected, indicating that the tunnel risk recognition distribution according to gender was different. As a result of analyzing the distribution difference between the tunnel's closed feeling and the tunnel risk perception level, the significance probability was 0.001, and the null hypothesis was rejected, indicating that there was a difference in the tunnel risk image level.

A radioactive complex disaster refers to a situation in which large-scale natural and social disasters such as earthquakes, fires, and chemical incidents occur in addition to nuclear power plants accident simultaneously. For the safe evacuation of residents, protective equipment must be prepared appropriately and sufficiently. We presented effectiveness, sufficiency, and versatility as selection criteria for choosing the essential protective equipment. The results of the survey of residents and local public officials suggested that masks, radioactivity meters, protective buses, and air purifiers have high priorities. Finally, through consultation with central government officials, masks, measuring instruments, and adsorption filters in protective buses were presented as prototypes. These items can effectively protect the people even in the event of a radioactive complex disaster.

Marine accidents caused by ships are very diverse, such as collision, sinking, stranding, grounding and fire. In particular, persons on passenger ship are unspecified and not trained, so it makes evacuation harder. For this reason, an evacuation plan that considers diverse situation in ship is needed. Effective evacuation planning requires training in consideration of various evacuation situations. In this paper, we investigated the time elapsed on evacuation in various situations from “HANMIR,” the fishery training ship of the Korean Institute of Maritime and Fisheries Technology, using a Ship Evacuation Analysis Program (SEA-Pro) which is introduced to the society. We assumed a situation that has not only inconveniences for real training but also the possibilities of happening. Not all trainees are resting in their cabin, so we assumed positions such as they are in the bridge or engine room and applied fire and flooding situations. We assumed that the time for alerting the situation would be short, so we applied only elapsed time of movement. Those analyses could be helpful in three ways. The first is predicting the consequence of possible accidents. There are some conditions that can be appliable to this model, such as the decreased area of sight in those situations. The second is concluding the optimal limit of carriage and placement of safety instruments on building a new ship. The third is to be a base data for ships to make a new effective evacuation plan based on these analyses.

The public relations room of the waste disposal facility is a space that can be visited by a large number of unevaluated personnel. Therefore, it is essential to design against fire, and research on fire and evacuation is essential. In this study, in order to evaluate the safety of the occupants in the event of fire and evacuation based on the life safety standards of occupants, the increase in risk due to heat, visible distance, and toxic gases on a plane 1.8m from the floor, which is the limit of breathing of the evacuee, over time. It was analyzed by location. As a result, the RSET of the P-01 exit was 93.0 seconds and the ASET was 272.6 seconds, the RSET of the P-02 exit was 45.8 seconds, the ASET was 147.7 seconds, the RSET of the P-03 exit was 106 seconds, and the ASET was 182.9 seconds.

This study analyzed the appropriate placement method by floor for evacuating all occupants during the nighttime through evacuation simulation. The analysis results are as follows. First, when non-self evacuating patients were placed on the first floor, 266 patients and 6 workers were found to be evacuated after 460 seconds. This result shows that it is meaningful to place non-self evacuating patients on the lower floor with a time that is faster than 540 seconds, which is an evaluation criterion set using life Safety standards for human. This result is a time faster than the evaluation criteria of 540 seconds, which is set using the life safety standards, and it can be confirmed that it is meaningful to place non-self evacuating patients on the lower floor. Next, as a result of placing non-self evacuating patients from the first floor to the fourth floor, it was found that evacuation of all occupants required 460 seconds for the first floor, 834 seconds for the second floor, 1,508 seconds for the third floor, and 1,915 seconds for the fourth floor. These results indicate that the placement of non-self evacuating patients on the rest of the floors, except for the first floor, can lead to dangerous results in excess of 540 seconds, which is a flashover time. As a result, it is necessary to place non-self evacuating patients on a lower floor for safe evacuation. The study has limitations except for comparative analysis of changes in evacuation time due to changes in the number of workers at eldery care hospitals and situations in which fire-fighting facilities such as sprinkler facilities operated. It is necessary to study the evacuation time linked to the operation of the fire-fighting facilities and the evacuation time according to the change in the number of workers in the future.

This study analyzed the evacuation time in indoor stadiums when exits that automatically open/close when the fire sensor is triggered are installed as a means to improve the problem of closing certain exits. Firstly, when spectators on the 2nd floor stands exit through the 1st floor exits, the RSET of all inhabitants was 529.8 seconds when the automatic opening/closing exits are broken and employees are not present. Secondly, when spectators on the 2nd floor stands exit through the 1st floor exits, the RSET of all inhabitants was 445 seconds when the automatic opening/closing exits with 750mm width are working but employees are not present. Lastly, when spectators on the 2nd floor stands exit through the 1st floor exits, the RSET of all spectators was 337 seconds when the automatic opening/closing exits with 1,500mm width are working and employees are present. As a result, it was revealed that the evacuation time is shortened when the automatic opening/closing exits are working. Additional comparative studies with actual simulations of people evacuating an indoor stadium and firefighting simulations considering smoke flow are necessary.

The Location Based Service is growing rapidly nowadays due to the universalization of the use for smartphone, therefore the location determination technology has been placed in an important position. This study suggests a method that can provide the estimate of users’ location by using PDR method and smartphone geomagnetic sensor data. This method assists the measure of enhancing the accuracy of indoor localization. Moreover, it is to study ways to provide the exact indoor layout for evacuating the workers in emergency such as fires and natural disasters.

The LBS(Location Based Service) technology plays an important role in reducing wastes of time, losses of human lives and economic losses by detecting the user's location in order by suggesting the optimal evacuation route of the users in case of safety accidents. We developed an algorithm to estimate indoor location, movement path and indoor location changes of smart phone users based on the built-in sensors of smartphones and the dead-reckoning algorithm for pedestrians without a connection with smart devices such as Wi-Fi and Bluetooth. Furthermore, seven different indoor movement scenarios were selected to measure the performance of this algorithm and the accuracy of the indoor location estimation was measured by comparing the actual movement route and the algorithm results of the experimenter(pedestrian) who performed the indoor movement. The experimental result showed that this algorithm had an average accuracy of 95.0%.

In this study, fire and evacuation safety of environmental energy facilities using fire and evacuation simulation was examined as part of performance-oriented design. The worst-case fire scenarios in which fire-fighting facilities such as sprinkler fire extinguishing and smoke control systems are not working, and the FDS analyzes the visibility, temperature distribution, and carbon monoxide concentration distribution through FDS. The safety was examined. As a result, it was proved that evacuation could limit the visibility, temperature, and carbon monoxide concentration in a smooth range, based on the safety standards set by relevant laws. In other words, it was possible to verify the safety of fire and evacuation for environmental energy facilities where a large amount of combustibles and fires coexist.

PURPOSES: We studied the signal operation method with a focus on swift evacuation of people from disaster-affected urban areas. METHODS: We selected Yeouido, which is at a high risk of being affected by natural disasters, as the urban area in our study. The analysis time for the Yeouido network was divided into four stages of six hours each, based on the traffic characteristics. The disaster scenarios were divided into small-scale and large-scale, and the analysis time and the disaster scale were set as the variables. RESULTS: From the analysis, it was found that the evacuation efficiencies were similar in the cases of entry control and increasing the green light duration for the main direction. However, the most effective approach is to apply entry control in case of disasters occurring at dawn and in the evening, with relatively low traffic volume. The most effective method is to increase the green light duration for the main direction of the main line in the time zone. CONCLUSIONS: As the scale of the disaster and the traffic volume increase, there is a limit on the extent to which the evacuation time could be reduced through signal operation. Therefore, signal control is most effective when the traffic volume is low and the disaster scale is small.

선박은 해양사고 발생 시 최악의 경우 퇴선을 해야 하나 특성상 협소하고 복잡하며 해상에서 운항하므로 퇴선이 쉽지 않다. 특히, 여객선의 경우 해상에서의 안전훈련을 이수하지 않은 불특정 다수의 승객들로 인해 더욱 퇴선이 어려운 상황이 된다. 이런 경우 승무원들의 피난 유도가 상당히 중요한 역할을 하게 된다. 그리고 구조자가 사고 선박에 진입하여 구조 활동을 하는 경우 어느 구역으로 진입해야 가장 효과적인지에 대한 검토가 필요하다. 일반적으로 승무원 및 구조자는 최단경로를 택하여 이동하는 것이 일반적이나 최단 경로에 사고 상황 등이 발생했을 경우 제2의 최적 경로 선택이 필요하다. 이러한 상황을 해결하기 위해 이 연구에서는 머신러닝(Machine learning)의 기법 중에 하나인 강화학습(Reinforcement Learning)의 Q-Learning 이용하여 퇴선 경로를 산출하고자 한다. 강화학습은 인공지능(Artificial Intelligence)의 가장 핵심적인 기능으로 현재 여러 분야에 사용되고 있다. 현재까지 개발된 대부분의 피난분석 프로그램은 최단경로를 탐색하는 기법을 사용하고 있다. 이 연구에서는 최단경로가 아닌 최적경로를 분석하기 위해 머신러닝의 강화학습 기법을 이용하였다. 향후 AI기법인 머신러닝은 자율운항선박의 최적항로 선정 및 위험요소 회피 등 다양한 해양관련 산업에 적용 가능할 것이다.