• Title/Summary/Keyword: 매설 배관

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Stress and Strain Distribution of Gas Pipe According to Buried Depth (매설심도에 따른 가스 배관의 응력 변형 특성)

  • Cho, Jinwoo;Choi, Bonghyuck;Cho, Wonbeom;Kim, Jinman;Hong, Seongkyeong;Jeong, Sekyoung;Kim, Joonho
    • Journal of the Korean Institute of Gas
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    • v.17 no.5
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    • pp.51-57
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    • 2013
  • Recently, improvement of materials and technologies for the manufacturing of gas pipe has it possible to reduce the buried depth. Compared to the criteria from advanced countries, Korea has conservative criteria for the buried depth of pipeline(about 50cm deeper). Therefore, this study investigated the effect of various buried depth(0.8m, 1.0m, 1.2m) on the stress and strain distribution of gas pipe. Numerical analysis and field tests were carried out with API 5L steel gas pipes. From the results, it can be suggested that the change of buried depth would not significantly affect the stress and strain distribution of gas pipe.

A Study on Seismic Protection Equipment for Fire Pipes Installed on Buildings (건축물에 설치되는 소방용 배관의 내진장치에 관한 연구)

  • Lim, Geon-Tae;Lim, Sang-Ho
    • Industry Promotion Research
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    • v.4 no.1
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    • pp.1-9
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    • 2019
  • This study is a technology related to a seismic protection device for a fire pipe for installation in a building such as an apartment or a building. The fire pipe is fixed to the base panel by fastening bolts so as to flow left and right. The present invention relates to an earthquake-resistant apparatus for a fire-extinguishing piping, which is capable of minimizing damages caused by an earthquake in order to prevent damages and breakage of a fire-extinguishing pipe by mitigating earthquakes, vibrations, It is connected to an insert plate embedded in concrete or ceiling hanger bolts formed at regular intervals on the ceiling to keep the piping constant from the ceiling and to keep the horizontal condition of the piping always constant so that the piping relaxes or sags And to effectively prevent damage to the piping. The can get.

A Study on the Development of Intelligent Markup Indicator (IMI) Technology for Underground Facilities Management Using IoT (IoT를 이용한 지하매설물관리용 지능형표지기(IMI) 기술개발에 관한 연구)

  • Kim, Tai-Dal
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.3
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    • pp.129-136
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    • 2017
  • Geographic Information System The geographic information system (GIS) has been limited to the government and some public sectors. Recently, the market has been diversified by combining with other areas such as mobile and CRM (Customer Relationship Management). The development direction of GIS technology in the 21st century is Web GIS, 3D GIS, mobile GIS, LBS, etc. as general technology for GIS application system development and spatial information service. In this study, we developed a new concept marking nail (a marking nail with built - in intelligent storage memory device) from the function of simple positioning of a marking nail related to a previously used underground item,, Burial depth, pipe thickness, piping material, management agency, contractor, contact, etc.) and store it in DB server, if necessary.Make it available in the right place. Through this research, it is possible to prevent and minimize various accidents caused by irregular excavation works, etc., and to provide information for establishing countermeasures related to sink holes. In order to provide systematic and reliable information on underground burial management, it was proposed to input information conveniently in the field, and the purpose was to reduce the incidence of buried underground pipes absolutely.

Indirect Inspection Signal Diagnosis of Buried Pipe Coating Flaws Using Deep Learning Algorithm (딥러닝 알고리즘을 이용한 매설 배관 피복 결함의 간접 검사 신호 진단에 관한 연구)

  • Sang Jin Cho;Young-Jin Oh;Soo Young Shin
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.19 no.2
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    • pp.93-101
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    • 2023
  • In this study, a deep learning algorithm was used to diagnose electric potential signals obtained through CIPS and DCVG, used indirect inspection methods to confirm the soundness of buried pipes. The deep learning algorithm consisted of CNN(Convolutional Neural Network) model for diagnosing the electric potential signal and Grad CAM(Gradient-weighted Class Activation Mapping) for showing the flaw prediction point. The CNN model for diagnosing electric potential signals classifies input data as normal/abnormal according to the presence or absence of flaw in the buried pipe, and for abnormal data, Grad CAM generates a heat map that visualizes the flaw prediction part of the buried pipe. The CIPS/DCVG signal and piping layout obtained from the 3D finite element model were used as input data for learning the CNN. The trained CNN classified the normal/abnormal data with 93% accuracy, and the Grad-CAM predicted flaws point with an average error of 2m. As a result, it confirmed that the electric potential signal of buried pipe can be diagnosed using a CNN-based deep learning algorithm.

Implementation of external corrosion direct ass- essment (ECDA) on water pipelines (매설배관 방식시스템의 효율 향상을 위한 실효성 제고)

  • Pyo, Min-Tae;Kim, Byoung-Jig;Jung, Sung-Won;Choi, Jun;Li, Seon-Yeob
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.2045_2046
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    • 2009
  • 광역상수도관에 대하여 외면부식직접평가(ECDA)를 실시하였다. ECDA평가는 과거 방식이력 등에 대한 사전검사, CIPS-DCVG-비저항 측정의 3단계 간접검사를 통해서 배관의 부식가능성이 큰 지점을 검출하여 위험성 우선순위를 판정하고 최종적으로 굴착을 통한 직접 검사 우선순위를 선정하였다. 직접 검사후 사후단계로 수집한 모든 데이터를 종합적으로 분석하여 검사구간의 건전성을 종합 평가를 하였다. 이러한 검사기법을 도입함으로써 배관의 부식위험지역을 파악하고 적절한 조치를 취할 수 있는 체계적인 근거를 마련한 것으로 판단하였다.

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