• Title/Summary/Keyword: Operation Risk

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Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites (재난 현장 물리적 보안을 위한 딥러닝 기반 요구조자 탐지 알고리즘)

  • Kim, Da-hyeon;Park, Man-bok;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.23 no.4
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    • pp.57-64
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    • 2022
  • If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.

A Study on Process Safety System Analysis for Application Process Safety Performance Indicators (공정안전성과지표 적용을 위한 공정안전시스템 분석방안 연구)

  • Ko, Byung Seok;Lim, Dong-Hui;Kim, Min-Seop;Seol, Ji Woo;Yoo, Byung Tae;Ko, Jae-Wook
    • Journal of the Korean Institute of Gas
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    • v.26 no.2
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    • pp.27-38
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    • 2022
  • In developed countries, the number of accidents has significantly decreased with the introduction of the process safety management system, but it has a regulatory nature and it is difficult to show the actual situation of workplace safety management. Many organizations recommend the use of process safety performance indicators to comprehensively monitor process safety status. In this study, for the application of process safety performance indicators, the related guidelines were compared and analyzed, and the method of using the process safety system of the workplace as an indicator was reviewed. In literature indicators, compliance with procedures is mainly checked, whereas in system-based indicators, procedures or inspections for a specific purpose of the safety system can be clearly identified, and the operation status can be measured and monitored. It can be seen that this characteristic is more advantageous in terms of the clarity of the supplements derived in operating safety management activities. Using this, it is possible to effectively show the level of safety management in the workplace.

Effect of Propeller Eccentric Thrust Change on Propusion Shafting System (프로펠러 편심추력변동이 축계안정성에 미치는 영향 연구)

  • Lee, Ji-woong;Lee, Jae-ung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.7
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    • pp.1082-1087
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    • 2021
  • The propeller shaft has different pattern of behaviors at each static, dynamic, and transient condition to a ship shaft system due to the effects of propeller weight and eccentric thrust, which increases the potential risk of bearing failure by causing local load variations. To prevent this, the various research of the shafting system has been conducted with the emphasis on optimizing the relative slope and oil film retention between propeller shaft and stern tube bearing at quasi-static condition, mainly with respect to the Rules for the Classification of Steel Ships. However, to guarantee a stability of the shafting system, it is necessary to consider the dynamic condition including the transient state due to the sudden change in the stern wakefield during rudder turn. In this context, this study cross-validated the ef ect of propeller shaft behavior on the stern tube bearing during port turn operation, which is a typical transient condition, by using the strain gauge method and displacement sensor for 50,000 DWT medium class tanker. And it was confirmed that the propeller eccentric thrust change showing relief the load of the stern tube bearing.

A Study on the Design of Training Contents for LNG Bunkering Workers (LNG 벙커링 종사자 교육 콘텐츠 설계에 관한 연구)

  • Yoo, Hyoung-Soo;Roh, Beom-Seok;Kang, Suk-Yong;Seo, Seong-Min;Jung, Dong-Ho
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.5
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    • pp.809-818
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    • 2022
  • The number of ships using liquefied natural gas (LNG) as fuel is increasing to respond to the International Maritime Organization's (IMO) air pollutant emission regulations. At the same time, the need to expand LNG bunkering infrastructure for stable fuel supply and demand for ships is emerging. LNG bunkering is carried out in three ways: truck to ship (TTS), pipe to ship (PTS), and ship to ship (STS). In foreign countries, all three methods are being carried out, but in Korea, LNG bunkering is carried out only with the TTS method owing to the lack of infrastructure. LNG bunkering is a high-risk operation. For safe bunkering operations, the competence of the workers is extremely important, and a professional training course is required to strengthen the competence. This study was conducted to design training contents for LNG bunkering workers for fostering LNG bunkering experts and performing safe and systematic bunkering work. To this end, the current status of LNG-fueled ships and bunkering was identified, and related domestic and abroad educational contents were analyzed. In addition, opinions on the importance of educational contents were collected through expert questionnaires. Consequently, we designed training contents suitable for various training targets and divided them into basic and advanced training courses, with a duration of 4 days, and proposed. Based on the designed training contents, if additional research is conducted by sufficiently reflecting Korea's bunkering environment, it will be of great help to improve the competence of LNG bunkering workers and to foster human resources.

Water Level Prediction on the Golok River Utilizing Machine Learning Technique to Evaluate Flood Situations

  • Pheeranat Dornpunya;Watanasak Supaking;Hanisah Musor;Oom Thaisawasdi;Wasukree Sae-tia;Theethut Khwankeerati;Watcharaporn Soyjumpa
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.31-31
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    • 2023
  • During December 2022, the northeast monsoon, which dominates the south and the Gulf of Thailand, had significant rainfall that impacted the lower southern region, causing flash floods, landslides, blustery winds, and the river exceeding its bank. The Golok River, located in Narathiwat, divides the border between Thailand and Malaysia was also affected by rainfall. In flood management, instruments for measuring precipitation and water level have become important for assessing and forecasting the trend of situations and areas of risk. However, such regions are international borders, so the installed measuring telemetry system cannot measure the rainfall and water level of the entire area. This study aims to predict 72 hours of water level and evaluate the situation as information to support the government in making water management decisions, publicizing them to relevant agencies, and warning citizens during crisis events. This research is applied to machine learning (ML) for water level prediction of the Golok River, Lan Tu Bridge area, Sungai Golok Subdistrict, Su-ngai Golok District, Narathiwat Province, which is one of the major monitored rivers. The eXtreme Gradient Boosting (XGBoost) algorithm, a tree-based ensemble machine learning algorithm, was exploited to predict hourly water levels through the R programming language. Model training and testing were carried out utilizing observed hourly rainfall from the STH010 station and hourly water level data from the X.119A station between 2020 and 2022 as main prediction inputs. Furthermore, this model applies hourly spatial rainfall forecasting data from Weather Research and Forecasting and Regional Ocean Model System models (WRF-ROMs) provided by Hydro-Informatics Institute (HII) as input, allowing the model to predict the hourly water level in the Golok River. The evaluation of the predicted performances using the statistical performance metrics, delivering an R-square of 0.96 can validate the results as robust forecasting outcomes. The result shows that the predicted water level at the X.119A telemetry station (Golok River) is in a steady decline, which relates to the input data of predicted 72-hour rainfall from WRF-ROMs having decreased. In short, the relationship between input and result can be used to evaluate flood situations. Here, the data is contributed to the Operational support to the Special Water Resources Management Operation Center in Southern Thailand for flood preparedness and response to make intelligent decisions on water management during crisis occurrences, as well as to be prepared and prevent loss and harm to citizens.

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Analysis of the Operation of Fire Observers in the Domestic Manufacturing Industry - Focusing on the Revised Occupational Safety and Health Act (국내 제조업 화재감시자 운영 실태 분석 - 개정 산업안전보건법 중심)

  • Kyung Min Kim;Yongyoon Suh;Jong Bin Lee;Seong Rok Chang
    • Journal of the Korean Society of Safety
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    • v.38 no.3
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    • pp.77-84
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    • 2023
  • Welding and cutting, which are representative tasks in handling firearms at industrial sites, are the basis for production and maintenance processes across all industries. They are also essential in the root industry. Specifically, they are widely used in the manufacturing industry, including equipment industries such as shipbuilding, automobiles, and chemicals, and subsequent maintenance work and general facility repair. However, such hot work carries a high fire risk owing to sparks scattering and inadequate management, resulting in a high occurrence of accidents. In response, the government and relevant organizations have recently revised the Occupational Safety and Health Act to prevent accidents during hot work. These revisions impose more stringent regulations than before, which are expected to help prevent actual fire accidents. However, whether the fire observer system, which is the core element of the revision, would be practically applied and maintained is unclear. Therefore, this study compared the fire observer system in the revised Occupational Safety and Health Act with those in the laws and systems of developed countries, conducted interviews with safety and health experts to assess the suitability of the new system for fire observer operations, and improvement plans were derived accordingly. Therefore, the laws and systems of developed countries grant more authority to fire observers compared with those of Korea. Moreover, professional training in handling emergency is required. Interviews with safety and health experts revealed that regardless of company size, the same operating standards were applied, and standards for deploying fire observers in various locations were unclear. Furthermore, there was a lack of professional education and training, and the role and authority of fire observers were limited. These findings revealed a problem in this sector. The results of this study are expected to serve as basic data for establishing a practical system for placing fire observers and supplementing laws, guidelines, and systems for preventing fire accidents.

Design and Implementation of Real-time Digital Twin in Heterogeneous Robots using OPC UA (OPC UA를 활용한 이기종 로봇의 실시간 디지털 트윈 설계 및 구현)

  • Jeehyeong Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.189-196
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    • 2023
  • As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

An Exploratory Study On the Future Growth Strategies for Korean General Trading Companies: Applying Japanese GTC Models into Korean Companies (한국 종합상사의 미래 성장전략에 관한 탐색적 연구: 일본 종합상사 경험의 한국적 적용 방향을 중심으로)

  • Kim, Hyun-Joo;Hyun, Sukwon;Lee, Jongtae
    • Korea Trade Review
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    • v.41 no.2
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    • pp.203-229
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    • 2016
  • Korean general trading companies had started their business to benchmark and to adopt the successful new business models of the Japanese ones. Nevertheless, the strategic gaps between Korean and Japanese GTCs, Sogo-Shosha, still exist, including financial profitability and managerial competencies. In this regard, it is academically and practically required to find out the differences between Korean and Japanese GTCs. This study overviews the previous researches and the business cases to understand the features of GTCs and to get recent and meaningful factors which are related with the rebirth of Sogo-Shosha. Thereafter, in-depth interviews with industry experts and scholars and subsequent investigations were also conducted to suggest meaningful implications for both academicians and practitioners with the found factors. This study suggests four fundamental differences between the Korean and Japanese GTCs: ① the origin and growth path, ② business ownership, governance strategies and contracts management, ③ availabilities of investment portfolio and risk management, ④ business operation system and organizational culture. This study suggests meaningful implications for Korean GTCs to apply the experiences and lessons learned from Japanese Sogo-Shosha into their own business.

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The Role of Safety Management Professional Organizations through Industrial Accident Analysis (산업재해분석을 통한 안전관리전문기관의 역할)

  • Deuk-Hwan Kim;Sun-Jae Hwang;Dae-Jin Jo;Jun-Won Lee
    • Journal of the Korea Safety Management & Science
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    • v.25 no.2
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    • pp.71-83
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    • 2023
  • Since last year, the government has enforced the 'Act on the Punishment of Severe Accidents, Etc.' (hereafter referred to as the 'Serious Accident Punishment Act'), which punishes business owners and business managers who fail to fulfill their duty of safety measures with 'imprisonment of one year or more' and the Occupational Safety and Health Act. Based on this, various occupational safety and health policies were developed, including the operation of a system related to entrusting the work of safety managers. Despite these efforts, the effect of implementing the Severe Accident Punishment Act is a groundbreaking change in the current disaster prevention policy, which has increased by 0.02%P and 0.03‱P, respectively, from the previous year to 0.65% of the total accident rate and 1.10‱ of the death rate per 10,000 people as of 2022. As the need emerged, attention was paid to 'collaboration and governance with safety management institutions' in the 'Severe Disaster Reduction Roadmap' announced by the Ministry of Employment and Labor in November 2022. In this study, a meaningful result was derived by comparing and analyzing the industrial accident status of workplaces entrusted by "A" safety management institutions with the national average based on the industrial accident survey table, and the types of industrial accidents that occurred in consigned workplaces were selected as intensive management targets. The policy direction for industrial accident prevention was established. It is necessary to develop safety management work manuals based on the results of this study, expertise, discover best cases of risk assessment and develop guides, and educate and train consigned workers. In addition, it suggests that the government's guidance and supervision are needed to advance the professionalism of safety management entrusted tasks, and that safety management institutions should strengthen their roles and functions for preventing and reducing industrial accidents. However, due to difficulties in disclosing information of specialized safety management institutions, the limitation of the provision, collection, and viewing of research-related data to "A" specialized safety management institutions remains a limitation of the research. It seems likely that more thorough research will be conducted.

A Policy Proposal for the Safety of Inland Water Ships (내수면 선박의 안전성 확보를 위한 정책 제언)

  • Byung-Hwa Song;Hong-Hoon Lee;Chang-Hyun Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.4
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    • pp.332-337
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    • 2023
  • Korea is not only surrounded by the sea on three sides, but also has national and local rivers extending 26,843 km, so it has a geographical feature in which abundant sea and inland water surface coexist. As the number of ships operating in the inland waters is continuously increasing due to the improvement of national income, the risk of ship accidents and human casualties in the inland waters is also increasing. In this study, a macroscopic plan for the safety management of inland water ships was presented through investigation of inland water related laws and operation status analysis. As an improvement plan, as a hardware infrastructure it is proposed to secure sufficient inland water fire-boats to secure the golden time for early response to accidents and lifesaving, and to operate an institution specializing in the prevention of inland water ships accidents. And as a software infrastructure, establish departure control standards for inland water ships and the safety diagnosis system currently applied only to sea going ships, the introduction of a system tailored to the characteristics of inland water ships. The proposed inland water safety management policy is expected to contribute to the preparation of prompt and systematic countermeasures in the event of an inland water ship accident, and it is hoped that it will serve as an opportunity to continue to pay attention to safety-related research on inland water ships, which was briefly activated after the sinking of M/V Sewol.