• Title/Summary/Keyword: 위험상황 식별

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Information Retrieval in Construction Hazard Identification (건설 위험 식별을 위한 정보 검색)

  • Kim, Hyun-Soo;Lee, Hyun-Soo;Park, Moon-Seo;Hwang, Sung-Joo
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.2
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    • pp.53-63
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    • 2011
  • The repetitive occurrence of similar accident is one of the biggest feature in construction disasters. Similar accident cases provide direct information for finding risk of scheduled activities and planning safety countermeasure. Many systems are developed to retrieve and use past accident cases by researchers. However, these researches have some limitations for performing too much retrieval to obtain results considering construction site conditions or not reflecting characteristics of safety planning steps or both. To overcome these limitations, this study proposes accident case retrieval system that can search similar accident cases. It also helps safety planning using information retrieval and building information modeling. The retrieval system extracts BIM objects and composes a query set combining BIM objects with site information DB. With past accident cases DB compares a query set, it seeks the most similar case. And results are provided to safety managers. Based on results of this study, safety managers can reduce excessive query generation. Furthermore, they can be easy to recognize risk of a construction site by obtaining coordinations of objects where similar accidents occurred.

A Study on the Safety Improvement of Vessel Traffic in the Busan New Port Entrance (부산신항 진출입 항로 내 선박 통항 안전성 향상에 관한 연구)

  • Choi, Bong-kwon;Park, Young-soo;Kim, Nieun;Kim, Sora;Park, Hyungoo;Shin, Dongsu
    • Journal of Navigation and Port Research
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    • v.46 no.4
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    • pp.321-330
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    • 2022
  • Busan New Port manages the largest volume of traffic among Korean ports, and accounts for 68.5% of the total volume of the Busan port. Due to this increase in volume, ultra large container ships call at Busan New Port. When the additional south container terminal as well as ongoing construction project of the west container terminal are completed, various encounters may occur at the Busan New Port entrance, which may cause collision risk.s Thus, the purpose of this study was to provide a plan to improve the safety of vessel traffic, in the in/out bound fairway of Busan New Port. For this purpose, the status of arrivals and departures of vessels in Busan New Port, was examined through maritime traffic flow analysis. Additionally, risk factors and safety measures were identified, by AHP analysis with ship operators of the study area. Also, based on the derived safety measures, scenarios were set using the Environmental Stress model (ES model), and the traffic risk level of each safety measure was identified through simulation. As a result, it is expected that setting the no entry area for one-way traffic would have a significant effect on mitigating risks at the Busan New Port entrance. This study can serve as a basis for preparing safety measures, to improve the navigation of vessels using Busan New Port. If safety measures are prepared in the future, it is necessary to verify the safety by using the traffic volume and flow changes according to the newly-opened berths.

Distance Identification for Maximum Change in Ship Collision Risk through a Coast Guard Patrol Ship Experiment (해양경찰 함정 실험을 통한 선박충돌 위험도의 변화가 최대인 거리 식별에 관한 연구)

  • Kim, Dae-Sik;Yim, Jung Bin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.5
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    • pp.447-454
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    • 2017
  • Using two large coast guard ships at sea, we created four encounter situations ($000^{\circ}$, $045^{\circ}$, $090^{\circ}$, $135^{\circ}$) with high possibility of collision, from 3 NM up to 0.25 NM. As relative distance was gradually decreased, the subjects were measured at 0.25 NM intervals and perceived ship collision risk (PSCR) was determined by looking at the opponent ship. Characteristics were statistically analyzed using the obtained data. The purpose of this study was to analyze the characteristics of collision risk values obtained from twelve intervals, from 3 NM to 0.25 NM relative to encounter situations by curve fitting with appropriate polynomials, to determine the distance from which the change in perceived collision risk is greatest. As a result, an optimal regression equation for each distance interval was derived from each analysis direction. The greatest variation in average collision risk value was over the range 1.25 ~ 1 NM, and the collision risk value was largest at 1 NM. The maximum change in perceived collision risk was at 1 NM. These results can contribute to preventive guidelines to minimize human error in close proximity situations with a high probability of ship collision.

A Study on the Application of Smart Safety Helmets and Environmental Sensors in Ships (선박 내 스마트 안전모 및 환경 센서 적용에 관한 연구)

  • Do-Hyeong Kim;Yeon-Chul Ha
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.2
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    • pp.82-89
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    • 2023
  • Due to the characteristics of ship structure, the compartment structure is complicated and narrow, so safety accidents frequently occur during the work process. The main causes of accidents include structural collisions, falling objects, toxic substance leaks, fires, explosions, asphyxiation, and more. Understanding the on-site conditions of workers during accidents is crucial for mitigating damages. In order to ensure safety, the on-site situation is monitored using CCTV in the ship, but it is difficult to prevent accidents with the existing method. To address this issue, a smart safety helmet equipped with location identification and voice/video communication capabilities is being developed as a safety technology. Additionally, the smart safety helmet incorporates environmental sensors for temperature, humidity, vibration, noise, tilt (gyro sensor), and gas detection within the work area. These sensors can notify workers wearing the smart safety helmet of hazardous situations. By utilizing the smart safety helmet and environmental sensors, the safety of workers aboard ships can be enhanced.

Ocean Fog Detection Alarm System for Safe Ship Navigation (선박 안전항해를 위한 해무감지 경보 시스템)

  • Lee, Chang-young
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.485-490
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    • 2020
  • Recently, amid active research on domestic shipbuilding industry and IT convergence technology, with the development of satellite detection technology for ship safety operation, ships monitored the movement of ships with the mandatory long-range identification & tracking of vessels and automatic identification system. It is possible to help safe navigation, but it is necessary to develop safety device that alert the marine officer who rely on radar to correct conditions in case of weightlessness. Therefore, an ocean fog alarm system was developed to detect and inform using photo sensors. The fabricated ocean fog detect and alarm system consists of a small, low-power optical sensor transceiver and data sensing processing module. Through experiment, it is confirmed that the fabricated ocean fog detect and alarm system measure the corresponding concentration of ocean fog for fogless circumstance and fogbound circumstance, respectively. Furthermore, the fabricated system can control RPM of ship engine according to the concentration of ocean fog, and consequently, the fabricated system can be applied to assistant device for ship safety operation.

Classification of Very High Concerns HRCT Images using Extended Bayesian Networks (확장 베이지안망을 적용한 고위험성 HRCT 영상 분류)

  • Lim, Chae-Gyun;Jung, Yong-Gyu
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.2
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    • pp.7-12
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    • 2012
  • Recently the medical field to efficiently process the vast amounts of information to decision trees, neural networks, Bayesian Networks, including the application method of various data mining techniques are investigated. In addition, the basic personal information or patient history, family history, in addition to information such as MRI, HRCT images and additional information to collect and leverage in the diagnosis of disease, improved diagnostic accuracy is to promote a common status. But in real world situations that affect the results much because of the variable exists for a particular data mining techniques to obtain information through the enemy can be seen fairly limited. Medical images were taken as well as a minor can not give a positive impact on the diagnosis, but the proportion increased subjective judgments by the automated system is to deal with difficult issues. As a result of a complex reality, the situation is more advantageous to deal with the relative probability of the multivariate model based on Bayesian network, or TAN in the K2 search algorithm improves due to expansion model has been proposed. At this point, depending on the type of search algorithm applied significantly influenced the performance characteristics of the extended Bayesian network, the performance and suitability of each technique for evaluation of the facts is required. In this paper, we extend the Bayesian network for diagnosis of diseases using the same data were carried out, K2, TAN and changes in search algorithms such as classification accuracy was measured. In the 10-fold cross-validation experiment was performed to compare the performance evaluation based on the analysis and the onset of high-risk classification for patients with HRCT images could be possible to identify high-risk data.

The Analysis of the Major Accidents caused by Fatigue of Pilot with TEM (조종사 피로에 의한 항공사고의 TEM 적용을 통한 공통요인 도출에 관한 연구)

  • Jeon, Seung-Joon;Choi, Jin-Kook
    • Journal of Convergence for Information Technology
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    • v.9 no.12
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    • pp.157-165
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    • 2019
  • Charles Lindbergh has experienced the uncontrolled situation of the aircraft while he was asleep with open eyes during his Atlantic crossing flight around 20 hours after departure from the New York in 1927 because of the fatigue. According to the NTSB(National Transportation Safety Board) reports, about 40 incidents are related fatigue in each year. The sleep loss is the most wanted item for the NTSB and may cause the similar effect as the alcohol does. The fatigue may affect the management of the threats and errors especially during take-off and landing. In this study, threats and errors of major accidents that NTSB analysed fatigue as a causal factor will be identified in order to understand the seriousness of fatigue.

A Study on incident related to pilot at Korea (우리나라 항만 도선사 준사고에 관한 연구)

  • Sangwon Park;Byoung Jae Yoon;Youngsoo Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.57-58
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    • 2022
  • Pilots are always exposed to unpredictable risks of the marine environment because they are boarding the ship through pilot ladders or gangways at sea. Since the pilot plays an important role in securing the safety of ships entering or departing from the port, the injury of the pilot greatly affects the overall safety of the ship. The purpose of this study is to analyze pilot incidents and predict accidents. For this purpose, the pilot injury accident cases are analyzed and potential situations are identified through a survey. And the pilot injury accident was predicted. The results can be used as basic data for prevention of pilot-related accidents.

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A Collision Analysis Technique for Prevention Actions of Accident in Safety Critical System (Safety Critical 시스템에서 사고의 예방동작간 충돌 분석 기법)

  • Kwon, Jang-Jin;Hong, Jang-Eui
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.10
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    • pp.661-668
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    • 2013
  • A safety critical system is a system that leads to injury of people, damage of property and environment due to functional failures or occurrence of undesired condition. Therefore, to ensure the safety of a system, system engineers should consider the inherent hazards of the system at design phase of the system development, and also should design the prevention actions to minimize damage when an accident occurred. The objective of these actions is preventing the serious damage from accidents that can occur due to unforeseen circumstance. Recently, many studies have been performed to identify and analyze their hazards at design phase of safety critical systems. This paper suggests a safety analysis technique for analyzing the collision among those prevention actions to reduce accident and its effect by the collision of these actions that did not mentioned in previous studies. Through the proposed technique, it would improve robustness of safety and would help the design of prevention actions into system for the occurrence of accidents.

Reagent storage management system using advanced sensors (첨단센서를 활용한 시약장 관리 시스템)

  • Jang, Jae-Myung;Lee, Jong-Won;Park, Sang-No;Kim, Chang-Su;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.790-791
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    • 2016
  • The system used in the laboratory of chemistry and medical is management only by measuring the temperature inside the reagent management within and recording in handwriting. When you hold the reagent, it can not recognize in real time the problems that occur in the interior, an accident occurs. you can not find a use record reagent storage, a problem with the management of an efficient reagent can be generated. In this paper, we propose a reagent management system that leverages the embedded boards and sensors in the laboratory reagents effectively manage to resolve it. As a result, Converting the information of the reagent to the data using the NFC, the administrator can identify the reagent user to register and manage hazardous reagents. Converted by using the NFC information of the reagent to the data, the administrator can identify the reagent user to register and manage hazardous reagents, temperature, humidity, so that it can be controlled by utilizing the VOC sensor to. Also it is passes the message to the administrator in the event of a particular risk situation. This is believed to enable the effective administration in a laboratory reagent.

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