• Title/Summary/Keyword: Piping Material

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A Study on the Safety Management Methods of Micro-Gas Engine Combined Heat and Power System (소형 가스엔진 열병합발전 시스템의 안전관리 방안에 관한 연구)

  • Kim, So-Hyun;Kim, Min-Woo;Lee, Eun-Kyung;Lee, Jung-Woon
    • Journal of the Korean Institute of Gas
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    • v.22 no.6
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    • pp.76-89
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    • 2018
  • The distribution of the combined heat and power system is active as a solution to the instability of energy supply and environmental pollution caused by continuous industrial development. In Korea, the safety standards for combined heat and power system using a gas engine are insufficient therefore the study on this is needed. In this study, the safety performance and structural/material assessment items of domestic and international standards applied to the combined heat and power system were analyzed to carry out a standardization study on safety performance applicable to 20 kW gas engine combined heat and power system. In addition, the safety performance assessment (plan) of the gas engine combined heat and power system was derived by performing risk analysis and risk assessment using HAZOP. Assessment items include engine ignition systems related to safety performance, piping tight performance, watering and temperature rise performance, combustion performance, electrical efficiency, thermal efficiency, overall efficiency and humidity performance. Gas and water pipes, gas control and shut-off valves, durability, heat resistance, and cold resistance of metal or non-metallic materials related to the structure and materials of the gas engine combined heat and power systems.

Numerical Analysis on Pore Water Pressure Reduction at Embankment Foundation of Fill Dam and Levee by Relief Well (감압정에 의한 필 댐 및 제방 기초지반의 간극수압 저감효과 수치해석)

  • Chang, Jaehoon;Yoo, Chanho;Baek, Seungcheol
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.2
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    • pp.25-36
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    • 2022
  • In this study, seepage control effect of relief well was evaluated quantitatively on embankment of small fill dam and levee. Seepage analysis of dam and levee were carried out according to the permeability of fill material and foundation and to analyze behaviour characteristics of seepage. The up-lift pressure at toe of embankment was analyzed which is generated by seepage according to relief well installation condition. The relief well could reduce pore water pressure which is to cause piping or up-lift pressure at foundation ground of embankment and it does not be influenced on geometric condition such as dam height and slope incline. In case of relative low permeable ground, the pore water pressure reduction effect of relief well was decreased compare with high permeable ground but it shows pore water pressure reduction effect compare with no relief well condition. The reduction effect of relief well shows relative gap according to diameter and penetration length of relief well and the installation length of relief well is the most effective factor for seepage control.

A Study on the Development of AI-Based Fire Fighting Facility Design Technology through Image Recognition (이미지 인식을 통한 AI 기반 소방 시설 설계 기술 개발에 관한 연구)

  • Gi-Tae Nam;Seo-Ki Jun;Doo-Chan Choi
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.883-890
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    • 2022
  • Purpose: Currently, in the case of domestic fire fighting facility design, it is difficult to secure highquality manpower due to low design costs and overheated competition between companies, so there is a limit to improving the fire safety performance of buildings. Accordingly, AI-based firefighting design solutions were studied to solve these problems and secure leading fire engineering technologies. Method: Through AutoCAD, which is widely used in existing fire fighting design, the procedures required for basic design and implementation design were processed, and AI technology was utilized through the YOLO v4 object recognition deep learning model. Result: Through the design process for fire fighting facilities, the facility was determined and the drawing design automation was carried out. In addition, by learning images of doors and pillars, artificial intelligence recognized the part and implemented the function of selecting boundary areas and installing piping and fire fighting facilities. Conclusion: Based on artificial intelligence technology, it was confirmed that human and material resources could be reduced when creating basic and implementation design drawings for building fire protection facilities, and technology was secured in artificial intelligence-based fire fighting design through prior technology development.