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      • 초고층복합빌딩의 재난사고 시나리오 적용방안에 관한 연구

        윤여송(Yoon, Yeo-Song),김종락(Kim, Jong-Rak),이수경(Lee, Su-Kyung),송동우(Song, Dong-Woo),신동일(Shin, Dong-Il) 한국화재소방학회 2010 한국화재소방학회 학술대회 논문집 Vol.2010 No.추계

        건축기술의 발달과 함께 건물은 높아지고 있지만 건물의 높이가 높아질수록 각종 재난으로부터 안전의 확보가 어려워지는 것이 현실이다. 특히 전 세계적으로 기후가 급격하게 변화하고, 재난의 유형도 다양화, 복합화 되고 있으며, 사회구조의 변화로 인해 재해로 인한 재난이 대형화되고 있는 추세이다. 특히 초고층복합빌딩은 재난이 일어나면 복합적으로 대형화된 재난이 일어날 가능성이 매우 높다. 이러한 시점에서 초고층복합빌딩에서 재난사고에 대응하기 위하여 각종 재난별로 일어날 수 있는 사고시나리오를 제시하고 앞으로 초고층복합빌딩의 재난사고에 대한 대응 방향을 제시하고자 한다.

      • KCI등재
      • 초고층 복합빌딩의 방재정보센터 적용방안에 관한 연구

        윤여송(Yoon, Yeo-Song),김종락(Kim, Jong-Rak),이수경(Lee, Su-Kyung),송동우(Song, Dong-Woo),김태훈(Kim, Tae-Hoon) 한국화재소방학회 2010 한국화재소방학회 학술대회 논문집 Vol.2010 No.추계

        최근 초고층 건축물에 대한 수요가 증가하고 있고, 더욱이 건설기술의 발전에 힘입어 초고층 복합빌딩의 계획과 건설이 더욱 증가하고 있는 추세이다. 이러한 초고층 복합빌딩에서 화재 등과 같은 재난이 발생할 경우 거주자의 대피 및 소방공무원의 화재진압 활동이 어려워 국가적 재난으로 확대될 위험이 있다. 그렇기 때문에 초고층 복합빌딩물에서 발생하는 사고를 예방하거나 발생하는 사고의 피해를 최소화하는 등 재난관리를 통합적으로 하기 위한 방재정보센터의 운영이 무엇보다 중요시되고 있는 실정이다. 본 연구에서는 초고층 복합빌딩의 개념과 문제점에 분석하고, 방재정보센터의 특성 및 향후 방안을 고찰하였다.

      • KCI등재

        고객의 카지노 선택 고려 요인 분석

        윤여송(Ye Song Yoon),이종주(Joung Joo Lee) 한국관광연구학회 2004 관광연구저널 Vol.18 No.1

        There are 13casinos in Korea and there are many casino customers from various countries such as Japan, China and East-South Asia. But the main countries that produce most of customers in Korea casino are Japan and China. So, the study objects of this paper are limited within customers from Japan and China. There are two main purposes that I want to confirm through this paper. The first thing is to make sure if customer`s consideration factors when customer chooses a casino and if customer`s preference game differ, according to nationality. And the second thing is to make sure if customer`s consideration factors when customer chooses a casino and if customer`s preference game differ, according to age. I hope that it can supply a theoretical basis required so that a casino carries out various marketing strategies to customers from nations with different cultural backgrounds and to customers of various generation.

      • KCI등재

        산업용 로봇 안전검사 항목을 통한 안전성 향상 방안 연구

        윤여송 ( Yeo-song Yoon ),신운철 ( Shin-woon Chul ),송기석 ( Song-gi Suk ) 대한설비관리학회 2020 대한설비관리학회지 Vol.25 No.4

        In view of the continuous trend of automation in the future, there is a possibility that the accidents caused by robots may increase, so prevention of accidents caused by robots may become very important. The safety inspection of robots is a matter conducted in Korea to prevent industrial accidents. For items with a higher risk of test items, safety tests should be carried out with the importance of safety tests in order to secure more safety. If we improve the detailed test plan in preparation for the importance of future items by improving safety according to important items, it is expected that more safety for disaster prevention will be secured. As a research method, the risk of robot safety inspection test items was evaluated through domestic experts. As related experts, two experts each, including an inspection expert at an inspection institution, an expert at a manufacturing manufacturer, and a user using a robot, were selected and evaluated by a face-to-face questionnaire. The risk assessment estimate was composed of a functional 5-point scale and a materiality 5-point scale, and the risk was expressed by multiplying probability and materiality. The measures to improve safety revealed through the risk assessment results and considerations are as follows. First, as an additional requirement of safety inspection items related to maintenance work, it is necessary to add durable performance requirements related to the service life within the performance requirements of the safety-related control system. Second, as a result of evaluating the risk of the safety inspection test items, the safety-related control system performance requirements and the risk of cooperative operation are 25, the cooperative operation requirements are 23.7, the protection areas and measures are 22.3, and the emergency stop device in order of priority risk. was 21.6 and the robot system stop function was 20.2. Third, in the single defect of the safety-related control system performance requirement, the specific detailed type of the single defect must be presented. Fourth, in cooperative operation, it is desirable that the safety inspection organization set specific detailed items for actual inspection to ensure compliance with domestic and international standards.

      • KCI등재

        석탄화력발전소에서 산업재해 통계분석을 통한 안전관리 개선방안 연구

        윤여송 ( Yeo-song Yoon ),박재영 ( Jae-young Park ) 대한설비관리학회 2020 대한설비관리학회지 Vol.25 No.1

        Domestic Coal-Fired Power Plant Industry according to industrial accidents by industry from 2008 to 2017, the number of workers killed every year is about 6 and the number of injured workers is about 95. The increase in industrial accidents in the coal-fired power plant industry is not leading to an appropriate statistical analysis of industrial accidents occurring in the coal-fired power plant industry. Accordingly, in this study, industrial accidents of five domestic power generation coal-fired power plants were analyzed in various ways from 2008 to 2017, and high-risk accident types and work improvement plans were identified. Based on this, high-risk accident types were identified and suggested improvement measures. For the basic data of the preceding research, the public report from the special investigation committee during the coal-fired power plant in 2019 and the data surveyed from the safety diagnosis joint service of the five coal-fired power plants in 2019 were cited. The statistical analysis results from this study quantified the actual injuries, deaths, injuries and mortality rates of 10 years for each power plant headquarters and partner companies of the 5th coal-fired power plant. Using the statistical analysis method, the severity of industrial accidents was identified by identifying the increase and decrease according to the period, the comparison with the same industry, the correlation of social phenomena, the correlations between the injured and the deaths of the five development companies. As a result of the improvement measures for high risk type of disaster, 4M (man, machine, media, management) method was used to analyze the causes of the disaster, and as a result of the analysis, it was found that the equipment factor and the work factor occupy a large proportion of the causes of the fall. Therefore, improvement measures for falling accident prevention were presented as common matters, and improvement measures that could cover the causes of fall in terms of equipment and work were presented. It is expected to be used as an improvement in statistical analysis of industrial accidents and safety education data for power generation industry.

      • KCI등재

        영주지역 문화관광자원 개발방향에 관한 연구

        윤여송(Yuh Song Yoon),최규식(Qu Sik Choi) 관광경영학회 2001 관광경영연구 Vol.12 No.-

        The aim of this study was to propose strategies of tourism developments in Young-ju area (placed in the northen area of Kyong-sang-buk-do province). First of all, the author investigated into the present conditions of cultural/tourism resources in Young-ju area and then tried to find out possibilities of tourism developments of Young-ju area to activate Youngju-area`s economy. In planing cultural/tourism developments, regional characters and social/cultural environments and economical conditions should be considered. In addition to this, the developments should not only be profitable both to regional economy and to regional citizens but minimize effects on the ecosystem. Considering these above conditions, the present study tried to propose strategies tourism developments in Young-ju area to maximize characteristics of regional tradition and history.

      • KCI등재

        석탄화력발전소 인공지능 영상분석 시스템 개발을 통한 안전 확보방안 연구

        오승환 ( Seung-hwan Oh ),윤여송 ( Yeo-song Yoon ) 대한설비관리학회 2021 대한설비관리학회지 Vol.26 No.4

        Coal-fired power plants are a device industry in which various technologies are integrated and consist of various types of devices and facilities such as various types of machinery, electrical, chemical, and energy storage facilities. Therefore, various and simultaneous work is required in various fields such as continuous monitoring of facilities, circuit inspection, daily maintenance, unplanned maintenance, and plan maintenance to expand the failure ripple and solve problems of power supply disruptions. This study was conducted to solve the problem of insufficient effectiveness of accident prevention methods in power plants through existing methods such as conducting safety training, inspecting facilities by workers, and simple monitoring of operating personnel using CCTVs. Therefore, CCTV's image and sensing information in the power plant were used, and AI deep learning algorithms, a key trend in the fourth industry, were applied to monitor and predict worker risk status, facilities, and facility anomalies. In addition, to experience the efficiency of developing a smart safety management system and preventing accidents based on AI deep learning units, we studied the prevention and safety of safety accidents that may occur in coal-fired power plants through demonstration processes.

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