• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.31-32
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• 2018

상수도배관에 누수발생시 주변의 다른 주요 기반시설들에 피해를 줄 수 있어 상수도배관의 누수감지 시스템 개발이 필요하다. 본 논문에서는 상수도배관의 누수감지를 위해 음향방출 센서와 기계학습 알고리즘을 적용한 누수검출 알고리즘을 제안하였으며 모의실험결과 누수 전/후의 상태를 100% 검출하였다.

• 수도
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• v.27 no.1 s.91
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• pp.28-33
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• 2001

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1231-1240
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• 2020

Water pipes are laid on the ground, making it impossible to visually detect leaks due to aging of pipes, and technology to detect leaks in pipes is mainly used to detect leaks in pipes by detecting leaks. In this paper, two accelerometers were attached to both ends of the constant water piping to calculate the time difference between the acquired data to detect leakage points. The leak test of piping was performed by installing valves at 4.3m, 8.6m, and 12.9m points on piping 17.2m, and changing the development rate of valves to 30% and 70%. Leakage can be detected for pressure drop in piping, which is 30% and 70% open valve. It is very important to detect leakage in the early stage, and it is judged that detection of the initial leak point from the algorithm applied in this paper will be possible.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.84-89
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• 2003

Water leak is one of topics with great concern in Korea and many other countries, because of decreasing water supplies and the deterioration of old pipeworks. Correlation techniques have been widely used in leak detection of water pipes, which allow to locate a leak point based on the correlation of leak noise at two sites along water pipes. In this study, both the cross-correlation method and the conventional arrival time difference method are applied in order to analyze and to locate a leak point of a water pipe. In experiment, a 150 m of whole length waterwork pipeline system was constructed in a ground, and several types of leak noise were installed on the pipeline in order to control leak condition. Both the cross-correlation technique and the arrival time difference method showed favorable results at leak detection with the experimental pipeline system.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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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.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.20 no.1
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• pp.29-38
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• 1991

설비분야(設備分野)에서 어느 용도(用途)에 어떤 재질(材質)의 배관재(配管材)를 사용하는 것이 가장 효과적(效果的)인가 하는 것은 관계 기술자(技術者)들의 관심사항중 하나이다. 특히 상수도(上水道) 분야(分野)는 정부(政府)가 주도하는 관계로 특별한 경우가 아니면 외국(外國)의 사례(事例)를 조사(調査)할 기회가 거의 없다. 본고(本稿)는 일본수도협회(日本水道協會)(JWWA)가 상수도(上水道) 기술정보(技術情報) 교환사업(交換事業)의 일환으로 미국의 주요 도시(都市)와 유럽의 주요 국가(國家)를 대상으로 실시한 상수도(上水道) 배관재(配管材) 사용실태(使用實態) 조사결과(調査結果)를 조사(調査)팀에 참가(參加)했던 관계기관(關係機關)을 통하여 입수(入手)하여 정리한 것이다. 조사(調査) 대상(對象)이 된 국가(國家)는 미국(美國), 스웨덴, 네델란드, 서독(西獨) 및 프랑스이며, 관계기관(關係機關)으로는 각국의 수도협회(水道協會)와 이와 유사한 9개 단체(團體)이다.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.3
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• pp.227-236
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• 2003

Leaks in underground pipelines can cause social, environmental and economical problems. One of relevant countermeasures against leaks is to find and repair of leak points of the pipes. Leak noise is a good source to identify the location of leak points of the pipelines. Although there have been several methods to detect the leak location with leak noise, such as listening rods, hydrophones or ground microphones, they have not been so efficient tools. In this paper, acoustic emission (AE) sensors and accelermeters are used to detect leak locations which could provide all easier and move efficient method. Filtering, signal processing and algorithm of raw input data from sensors for the detection of leak location are described. A 120m-long pipeline system for experiment is installed and the results with the system show that the algorithm with the AE sensors and accelerometers offers accurate pinpointing of leaks. Theoretical analysis of sound wave propagation speed of water in underground pipes, which is critically important in leak locating, is also described.

• Journal of KSNVE
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• v.17 no.1 s.85
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• pp.16-21
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• 2007

• Journal of the Korean Society for Nondestructive Testing
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• v.35 no.1
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• pp.31-38
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• 2015

Intelligent leak detection is an essential component of a underground water supply pipeline network such as a smart water grid system. In this network, numerous leak detection sensors are needed to cover all of the pipelines in a specific area installed at specific regular distances. It is also necessary to determine the existence of any leaks and estimate its location within a short time after it occurs. In this study, the leak signal properties and feasibility of leak location detection were investigated when concurrent leaks occurred at two points in a pipeline. The straight distance between the two leak sensors in the 100A sized cast-iron pipeline was 315.6 m, and their signals were measured with one leak and two concurrent leaks. Each leak location was described after analyzing the frequency properties and cross-correlation of the measured signals.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.32 no.9
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• pp.707-712
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• 2008

The fatigue characteristics of a material or a structure are generally derived from fatigue tests of standard specimens. However, test results of standard specimens are different from those of real structures or components. Therefore, to calculate more accurate fatigue life, the geometrical effect and surface condition must be considered by comparing test results of standard specimens with those of real structures or components. Thus the object of this paper is to evaluate the fatigue characteristics of a real waterwork pipe. Also, to evaluate fatigue characteristic based on life distribution, the statistical fatigue characteristics were analyzed by the normal distribution and related data of P-S-N curve.