• Title/Summary/Keyword: Fire data analysis

Search Result 779, Processing Time 0.026 seconds

Prehospital care and knowledge, prehospital care confidence toward the infant and toddlers of the 119 emergency medical technicians (119 구급대원의 영유아에 대한 응급처치 현황 및 응급처치 지식과 수행 자신감 비교)

  • Song, Eun-Hye;Lee, Kyoung-Youl
    • The Korean Journal of Emergency Medical Services
    • /
    • v.19 no.1
    • /
    • pp.19-33
    • /
    • 2015
  • Purpose: The purpose of this study was to improve the quality of prehospital care provided to infants and toddlers (preschoolers) based on questionnaire findings. Methods: A total of 1,634 running sheets from 119 centers of D city from patients older than 1 month and less than 7 years of age from January 1, 2013 to December 31, 2013 were reviewed for 119 emergency medical technicians (EMTs) activity analysis. And a self-reported questionnaire about knowledge and competency in prehospital care of preschoolers was completed by 159 EMTs at fire stations in D city. Data were analyzed using IBM SPSS Statistics for Windows, Version 21.0. Results: Of 1,634 patients, 58.6% were call to 119 due to disease, 33.8% due to injuries and 7.5% due to traffic accident. Knowledge and confidence in treating preschoolers was significantly higher among paramedic EMTs than basic EMTs. The 119 EMTs surveyed indicated that training for preschooler prehospital care was most needed. Conclusion: In order to provide high quality prehospital care for preschoolers transported to emergency rooms, it is necessary to equip ambulances with the proper equipment. In addition, EMTs should be provided educational opportunities and clinical training.

A Study on Adequacy Assessment of Protective Action Distance in Hazardous Chemical Accident by AERMOD Modeling (AERMOD 모델링 분석을 통한 유해화학물질 누출사고 시 방호활동거리의 적정성 평가연구)

  • Lim, Chea-Hyun;Doh, Sang-Hyeun
    • Fire Science and Engineering
    • /
    • v.29 no.1
    • /
    • pp.7-11
    • /
    • 2015
  • In Korea, The protective action distance based on Canada's ERG has been adopted for safety of residents in case of hazardous chemicals leakage accident. However, it couldn't respond properly on the accidents because of geographical and meteorological differences between two nations. In this study, It was found that the protective action distance varies depending on season and terrain, Through AERMOD modeling analysis for the petrochemical complex reflected local geographical data and meteorological conditions.

Study on the Combustion Characteristics of Flammable materials and Combustion Accelerants in an Arson (방화 범죄에서 가연성 물질과 연소촉진제의 연소 특성에 관한 연구)

  • Park, Hye-Jeong;Nam, Ki-Hun;Kim, Kwang-Il
    • Fire Science and Engineering
    • /
    • v.31 no.5
    • /
    • pp.7-11
    • /
    • 2017
  • The purpose of this study is to recognize the necessity for the management of the available materials in cases of arsons and to prevent arson gaining an understanding of the combustion characteristics of the flammable materials and combustion accelerants in arson cases. We investigated and analyzed the statistical data on arsons and selected flammable materials (wood, paper, synthetic textiles, synthetic resins), and combustion accelerants (gasoline, diesel, solvent) that are frequently used in cases of arson. We conducted a thermogravimetric analysis to assess the thermal properties of the flammable materials. Also, we conducted burning and flame spread rate tests for the purpose of comparing and analyzing the combustion characteristics of the flammable materials and combustion accelerants.

Analysis of Thermal Characteristics and Insulation Resistance based on Usage Environment and Current Value of Electrical Socket Outlet (전기콘센트의 사용환경과 전류값에 따른 열적특성 및 절연저항 분석)

  • Kim, Kyung Chun;Kim, Doo Hyun;Kim, Sung Chul
    • Journal of the Korean Society of Safety
    • /
    • v.34 no.5
    • /
    • pp.22-30
    • /
    • 2019
  • In 2018, overload, overcurrent, insulation aging, and a contact failure caused 659 electric fires. There is almost no failure of electrical socket outlets during their manufacturing or installation period. After several months or several years, overload or overcurrent of electrical socket outlets leads to a contact failure or short circuit which causes an electric fire. Therefore, this paper analyzed for thermal characteristics based on a current value and the change in insulation resistance along with a temperature rise caused by electrical socket outlets and the state of laboratory use in workplaces. As a results, regarding the thermal characteristics based on the current value of each installation year, a temperature increase was related to a current value, an installation year, and whether the contact unit is corroded. Insulation resistance began to decrease when a temperature increased to a certain level. With a lapse of installation year, the temperature at which insulation resistance began to decrease was lowered. This paper can be applicable for the survey data about electrical socket outlet induced fire accidents and management guidelines.

Comparative Study of Power Distance Tendency Between Administrative and Field Firefighters in Fire Department (소방기관의 행정직과 현장직의 권력거리 성향 비교연구)

  • Kyong-Jin Park;Bong-Kil Kim;Hyun-Mi Kim
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.27 no.3
    • /
    • pp.645-653
    • /
    • 2024
  • This study is a comparative study on the tendency of power distance between administrative and field personnel in fire departments. For this study, 355 firefighters nationwide were surveyed from August 22 to December 31, 2023, and the collected data was analyzed using the SPSS 24.0 statistical program. As a result of the reliability analysis, Cronbach's =.803 was found to be higher than the standard value of 0.6. irefighting agencies are firefighting organizations that work to resolve incidents quickly and efficiently at disaster sites, and an appropriate level of power distance is essential. However, excessive power distance between superiors and subordinates leads to self-righteousness in administration and incompetence in field activities through one-sided instructions and compliance. As a result of analyzing the power distance tendencies of administrative and field workers in fire departments in this study, it was confirmed that there was no bias in either direction with an average score of 2.55. And the level of power distance tendency between administrative and field firefighters was 2.56 points, showing no significant difference.

Study on Dangerous Factors and Damage Pattern Analysis of Leaking Water from Water Purifiers (누수가 발생한 정수기의 위험요소 발굴 및 소손패턴 해석에 관한 연구)

  • Choi, Chung-Seog
    • Journal of the Korean Society of Safety
    • /
    • v.27 no.3
    • /
    • pp.57-62
    • /
    • 2012
  • The purpose of this paper is to find dangerous factors of a water purifier when water leaks due to inappropriate use and analyze the patterns of damaged parts in order to provide data for the examination of the cause of the problem. If the water purifier is inspected and managed by a non-specialist, when the FLC(Float Level Controller) at the top is inclined, water leakage may occur to the water purifier. The leaked water flows onto the cables and hoses and enters the thermostat terminal, heater, PCB, power supply connection connector, etc., becoming a dangerous factor that may cause a system failure, fire, etc. Due to the water that entered the input terminal, low noise and white smoke were generated at first. However, the flame gradually propagated due to the continuous inflow of moisture. It was found that when moisture reached the PCB, a carbonized conductive path was formed at the varistor terminal, input terminal, semiconductor device terminal, etc., and the flame became larger, which might result in a fire. From the metal microscope analysis of a damaged condenser terminal, it was found that the amorphous structure unique to copper cable disappeared, and voids, boundary surface and disorderly fine particles occurred. Also, in the case of the connector into which moisture penetrated, fusion and deformation occurred at the cable connection clips. The result of analysis of the power supply cable connector using a thermal image camera showed that most of the heat was generated from the cable connection clips and the temperature at the connection center was normal.

Constructing a Database Structure for the Domestic LP Gas and Natural Gas Accidents and its Analysis (국내 LP 및 천연가스사고 Database 구축 및 분석에 관한 연구)

  • Ko, Jae-Sun;Park, Sun-Young;Kim, Hyo
    • Journal of the Korean Institute of Gas
    • /
    • v.12 no.3
    • /
    • pp.56-63
    • /
    • 2008
  • We have garnered 3,593 data of gas [Natural Gas (NG) and Liquefied Petroleum Gas (LPG)] accidents reported for 16 years from 1991, and then analyzed the accidents according to their types and causes based on the classified database. According to the results the gas leak has been the most common accident followed by the explosion and then fire accidents. The most frequent accident-occurring locations for fire, explosion and leak are recognized around the valve, hose and pipeline, respectively. In addition, we have applied the Poisson analysis to predict the most-likely probabilities of fire, explosion and release in the upcoming 5 years. From this research we have assured the successive database updating will highly improve the anticipating-probability accuracy and thus it will play a key role as a significant safety-securing guideline against the gas disasters.

  • PDF

Analysis of evacuation for fishery training ship HANMIR using SEA-Pro (SEA-Pro를 이용한 어선실습선 한미르호의 피난 분석)

  • KIM, Won-Ouk;KIM, Seok-Jae
    • Journal of the Korean Society of Fisheries and Ocean Technology
    • /
    • v.57 no.3
    • /
    • pp.228-235
    • /
    • 2021
  • 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.

A Study on the Evacuation Performance Analysis Model Considering Clustering Types at the Fire Event in Geriatric Hospital (노인 요양병원에서 화재 시 군집유형에 따른 피난 성능 분석 모델에 관한 연구)

  • Kim, Mijung;Kweon, Jihoon
    • Journal of The Korea Institute of Healthcare Architecture
    • /
    • v.28 no.1
    • /
    • pp.63-74
    • /
    • 2022
  • Purpose: The purpose of this study is to present an evacuation performance analysis model that can derive vulnerable evacuation spaces with considering the movement behavior as per the elderly groups in the event of a fire in a geriatric hospital. Methods: The evacuation characteristics of geriatric hospital users were investigated through the review of precedent studies. First, the occupant conditions and the evacuation scenario were set to analyze a study target hospital. Then, the evacuation simulation was carried out considering the group types and the density of each group. Finally, an evacuation performance analysis model according to the group type was presented based on the simulation results. Results: The results of this study are as follows: (1) The evacuation performance according to the group type is to be clarified through the suggested study model. (2) It is necessary to secure a ramp or an emergency elevator to distribute the evacuation personnel at the design stage because congestion occurs due to collisions between evacuees on the stairs and delays the evacuation time. (3) It is necessary to consider the evacuation stairs and openings of sufficient size by analyzing the frequency of congestion occurrence and the escape routes of occupants in advance to identify the space where the evacuation flow overlaps. Implications: It is expected that the study result is to be used as primary data for studies that consider the elderly and clustering evacuation behavior in the event of a fire in a geriatric hospital.

Predicting Forest Fires Using Machine Learning Considering Human Factors (인적요인을 고려한 머신러닝 활용 산림화재 예측)

  • Jin-Myeong Jang;Joo-Chan Kim;Hwa-Joong Kim;Kwang-Tae Kim
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.28 no.5
    • /
    • pp.109-126
    • /
    • 2023
  • Early detection of forest fires is essential in preventing large-scale forest fires. Predicting forest fires serves as a vital early detection method, leading to various related studies. However, many previous studies focused solely on climate and geographic factors, overlooking human factors, which significantly contribute to forest fires. This study aims to develop forest fire prediction models that take into account human, weather and geographical factors. This study conducted a comparative analysis of four machine learning models alongside the logistic regression model, using forest fire data from Gangwon-do spanning 2003 to 2020. The results indicate that XG Boost models performed the best (AUC=0.925), closely followed by Random Forest (AUC=0.920), both of which are machine learning techniques. Lastly, the study analyzed the relative importance of various factors through permutation feature importance analysis to derive operational insights. While meteorological factors showed a greater impact compared to human factors, various human factors were also found to be significant.