• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.493-493
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• 2023

매설배관의 피복손상부 탐측법은 CIPS법, DCVG법 등 여러 방법이 있으며, 그중 우리나라에서는 DCVG법이 가장 많이 사용되고 있다. 피복손상탐측기술(DCVG)은 매설된 관로에 대하여 직류 전류로 인해 배관주변에 발생하는 전위구배를 측정하여 비굴착상태에서 관로의 피복손상부를 찾아내는 기술이다. 본 기술을 광역상수도 정밀안전진단 및 성능평가에 적용하였으며, 탐측된 위치에 대하여 위험도(%IR)를 예측하였다. 또한 손상의심부에 대한 굴착을 통해 피복손상부를 확인하였다. 본 기술의 신뢰성 및 상수도 분야에 큰 활용성을 확인하였다. 관경, 현장여건 등에 따른 조사 및 굴착에 일부 한계점을 보였으나, 향후 축적된 데이터를 바탕으로 매설된 관로의 손상을 사전에 확인하여 관로사고를 미연에 방지할 기술로 판단된다.

• 한국가스학회:학술대회논문집
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• 한국가스학회 2002년도 추계학술발표회 논문집
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• pp.63-68
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• 2002

• Corrosion Science and Technology
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• 제19권4호
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• pp.211-223
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• 2020

The external corrosion of buried piping can be controlled using both coating and cathodic protection. Several factors are involved in the damage and deterioration of the coating on pipes. There are many detection methods for coating defects on pipes and the direct current voltage gradient (DCVG) method is one of the most powerful methods. However, the detection reliability of DCVG can be affected by interferences such as stray current, metal objects connected to rectifiers, and copper grids. Therefore, this study focused on the interference effects of rectifiers and a copper grid on the reliability of coating flaw detection. As the length of the interference pipe connected to the rectifier increased, the reliability decreased. In contrast, as the distance between the pipe and the copper grid increased, the reliability of the coating flaw detection increased. The detection results produced by the DCVG method were discussed using current and potential simulations for a pipe with a rectifier and copper grid interference in the soil.

• 한국압력기기공학회 논문집
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• 제19권2호
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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.

• 한국가스학회지
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• 제20권5호
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• pp.72-81
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• 2016

매설된 강관의 피복이 손상되는 경우에는 부식이 발생할 수 있고, 부식으로 인한 핀홀이 발생하여 가스누출사고가 발생할 수도 있다. 미국과 영국 등 국외에서는 이를 방지하기 위하여 DCVG 또는 ACVG 등을 이용하여 매설된 배관의 피복손상을 탐측하고 이상부위에 대하여 직접 굴착을 통해 배관외면부식여부 등을 확인하고 필요시에는 보수를 하고 있다. 이를 외면부식 직접평가법(ECDA)이라 하며, NACE 기준 등에서 ECDA에 대한 기준을 규정하고 있다. 국내의 경우에는 2014년 중압배관의 정밀안전진단 제도를 도입하면서 KGS 코드에 외면 부식직접평가에 대한 내용을 포함하여 규정하고 있다. 본 연구에서는 매설배관의 외면부식을 탐측할 수 있는 장비를 개발하고, 개발된 장비의 실증시험을 위한 배관시험장을 구축하였다. 또한, 개발된 장비의 성능을 입증하기 위하여 배관 시험장에서 현장 실증시험을 실시하였다. 현장 실증 시험은 개발된 장비와 국내에 도입되어 사용중인 국외 장비와의 피복결함 탐측 성능 비교시험으로 실시하였다. 개발한 장비를 이용하여 매설배관 탐측 시험을 실시한 결과, 개발한 장비는 미국이나 영국에서 개발되어 국내에 보급되어 사용중인 장비에 비해 훨씬 사용이 편리하고 성능이 우수함을 확인할 수 있었다.

• Corrosion Science and Technology
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• 제19권5호
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• pp.265-280
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• 2020

External corrosion of buried pipes can be controlled using both coating and cathodic protection. However, deterioration of the coating can occur due to several reasons. The detection reliabilty of coating flaw detection methods is affected by interference such as metal objects connected to rectifiers and copper grids. When performing parallel direct current voltage gradient (DCVG) inspection, a sine wave form without potential reversal in voltage gradient appears in the area where the interference exists. However, this area may be not identified using existing methods. The objective of this study was to determine the effect of analyzing direction on the reliability of coating flaw detection of pipes buried in soil using a multi-electrode detector. DCVG on the buried pipe was measured along the buried pipe. This measurement parallel to the pipe was repeated. Measured data were analyzed for parallel, vertical, and diagonal directions. The reliability of coating flaw detection was improved by up to 46.4% compared to the conventional method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
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• pp.61-63
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• 2005

In present, most of underground metallic structures, especially gas pipeline, have adopted in order to protect against a corrosion. If a coating defect is be on the surface of gas pipeline, the pitting corrosion is occur normally. So, in the corrosion field, investigation of coating defect is very important activity. In this paper, DCVG(Direct Current Voltage Gradient) method which is can detect a coating defect of gas pipeline is introduced. And also, the assesment of coating defect position according to the position of temporary anode of ICCP(Impresed Current Cathodic Protection) system is presented.

• 한국환경보건학회지
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• 제40권2호
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• pp.114-126
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• 2014

Objectives: We aimed to develop a measurement method of five metabolites of trichloroethylene (TCE) in a concurrent biological sample, e.g., trichloroacetic acid (TCA), dichloroacetic acid (DCA), S-(1,2-dichlorovinyl) glutathione (DCVG), S-(1,2-dichlorovinyl)-L-cysteine (DCVC), and N-Acetyl-S-(1,2-dichlorovinyl)-L-cysteine (NAcDCVC) and to validate the method before application to pharmacokinetic study. Methods: TCE metabolites were simultaneously analyzed using high performance liquid chromatography coupled with electrospray ionization mass spectrometry (HPLC-ESI-MS/MS) with as little as 50 ${\mu}L$ of serum and urine. DCA, TCA and NAcDCVC were extracted with diethyl ether, while DCVC and DCVG were extracted by solid phase extraction. This method was validated according to the guidelines for bioanalytical method validation of the Korean National Institute of Toxicological Research. Then, we determined the five metabolites in five strains of mice at 24 hr after exposure to 1 g TCE /kg body weight. Results: The limits of detection for the five metabolites in biological samples ranged from 0.001 to 0.076 nmol/mL, which is comparable to or better than those previously reported. Most calibration curves showed good linearity ($R^2=0.99$), and between-batch variation was less than 20% expressing acceptable robustness and reproducibility. Using this method, we found TCA and DCA were detected in all test mice at 24 hr after the oral administration while NAcDCVC and DCVC were detected in some strains, which showed strain-dependent metabolism of TCE. Conclusions: The present method could provide robust and accurate measurements of major key metabolites of TCE in biological media, which allowed concurrent analysis of TCE metabolism for limited amounts of biospecimens.