• Title/Summary/Keyword: Pipe leak detection

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Implementation of RTD-2000 Based Waterworks Pipe Network Monitoring System using Internet Map Service (범용지도를 이용한 RTD-2000 기반의 상수도 관망 모니터링 시스템의 구현)

  • Park, Jun-Tae;Hong, In-Sik
    • Journal of Korea Multimedia Society
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    • v.14 no.11
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    • pp.1450-1457
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    • 2011
  • Currently most of leak detection monitoring systems use digital maps with paying royalties, and this increases the cost of system construction and financial burdens on local self-governing bodies that manage such systems. Moreover, they have inefficiencies in repair and maintenance, functional expansion, and compatibility with other systems. Thus, this study developed a waterworks pipe network monitoring system that pursues low cost and high efficiency using general-purpose maps on the Internet such as google maps. As this system uses highly compatible free maps, it costs less in construction and its hardware requirements are lower than existing systems, and consequently, overall monitoring performance is enhanced and the cost of construction goes down sharply. This study also proposed a method for pipeline DB construction, which can be started together with the construction of the monitoring system, in order to improve the field applicability of the system.

A Study on the Response Technique for Toxic Chemicals Release Accidents - Hydrogen Fluoride and Ammonia - (독성 화학물질 누출사고 대응 기술연구 - 불산 및 암모니아 누출을 중심으로 -)

  • Yoon, Young Sam;Cho, Mun Sik;Kim, Ki Joon;Park, Yeon Shin;Hwang, Dong Gun;Yoon, Jun heon;Choi, Kyung Hee
    • Korean Journal of Hazardous Materials
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    • v.2 no.1
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    • pp.31-37
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    • 2014
  • Since the unprecedented hydrogen fluoride leak accident in 2012, there has been growing demand for customized technical information for rapid response and chemical accident management agencies including the Ministry of Environment, the National Emergency Management Agency, and the National Police Agency need more information on chemicals and accident management. In this regard, this study aims to provide reliable technical data and guidelines to initial response agencies, similar to accident management technical reports of the US and Canada. In this study, we conducted a questionnaire survey and interviews on initial response agencies like fire stations, police stations, and local governments to identify new information items for appropriate initial response and improvements of current guidelines. We also collected and reviewed the Canada's TIPS, US EPA's hydrogen fluoride documents, domestic and foreign literature on applicability tests of control chemicals, and interview data, and then produced items to be listed in the technical guidelines. In addition, to establish database of on-site technical information, we carried out applicability tests for accident control data including ① emergency shut down devide, safety guard, shut down valve, ground connection, dyke, transfer pipe, scrubber, and sensor; ② literature and field survey on distribution type and transportation/storage characteristics (container identification, valve, ground connection, etc.); ③ classification and identification of storage/transportation facilities and emergency management methodslike leak prevention, chemicals control, and cutoff or bypass of rain drainage; ④ domestic/foreign analysis methods and environmental standards including portable detection methods, test standards, and exposure limits; and ⑤ comparison/evaluation of neutralization efficiency of control chemicals on toxic substances.

Detection of the Pipe Leak for Water Distribution System Using Ground Penetrating Radar (GPR을 이용한 상수관로의 누수 탐사)

  • Park, In-Chan;Cho, Won-Cheol
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1271-1274
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    • 2006
  • 지하레이다(Ground Penetrating Radar, GPR)를 이용하여 지표하의 상수관로를 지표에서 송신안테나와 수신안테나를 이용해서 손쉽게 측정하게 된다. 송신안테나는 지표하에 전자기파를 송신하고 지하 매질을 투과한 파가 수신안테나에 도달하는 시간을 측정하여 지표하 매질의 특성을 파악할 수 있다. 수신파의 도달시간은 지표하 매질의 특성에 따라서 변화하며, 이를 통해 지표하 매질과 매질 깊이 등을 파악할 수 있다. 일반적으로 상수관로를 매설할 경우 관로 주변의 토양은 균등하게 되므로 기 매설된 상수관로 주변에 누수가 발생하게 되면, 관로 주변의 토양은 포화상태이거나 수압으로 인해서 공동이 형성될 경우가 많다. 이때 반사에너지의 유전율 증가 혹은 감소 특성으로 인해서 주변 매질과는 매우 상이한 결과를 보이게 된다. GPR탐사는 단순히 반사된 신호진폭의 크기를 나타내며 이러한 반사에너지의 크기에 관계되는 것은 매설물의 유전율이 주위 지반이 갖는 유전율과의 차이에서 기인하기 때문이다. 탐사 대상 상수관로에 대한 정보를 확보하여 GPR 탐사를 수행한 결과 관로 탐사를 위한 GPR의 결과는 매우 유용하게 사용될 것으로 판단되며, 이를 바탕으로 누수 발생 이력이 있는 다양한 관로주변 조건을 대상으로 탐사를 실시할 경우 상수관망시스템의 효율적인 관리 및 보수에 매우 유용한 방법이 될 수 있을 것으로 판단된다.

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Case Study of Pipe Leak Detection Using Artificial Intelligence (인공지능(AI) 기반 상수도 누수탐사 사례 분석)

  • Tae Nam Moon;Chang Gun Shin;Bo Hyang Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.496-496
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    • 2023
  • 상수도관의 노후화 등으로 발생하는 누수는 안정적인 급수운영을 저해하고 경제적 손실을 발생시킬 뿐만 아니라 지반 침하 등 2차 피해가 발생할 수 있다. 상수도관 누수는 배관 내·외부 부식으로 발생하는 핀홀(Pin Hole)로 인한 관통누수, 강관 용접 시 발생하는 시공불량, 볼트 및 고무패킹 등 부자재의 노후화, 굴착 등 작업에서 발생하는 물리적 충격 등 여러 원인으로 발생할 수 있다. 상수도관에서 누수가 발생할 경우, 관 내부수가 관 밖으로 유출되어 발생하는 파열음, 유출수와 지반과의 마찰로 인한 진동 및 소음 등이 발생할 수 있다. 청음식, 상관식 누수탐사와 같은 기존 누수탐사 방식은 전문가의 경험에 대한 의존도가 매우 높으며, 기존 장비의 특성상 비금속관 및 대구경관 등 특정 환경에서는 적용이 어려우며, 효율적인 탐사가 쉽지 않은 실정이다. 이에 대한 해결책으로 본 논문에서는 상수도 누수가 의심되는 구간을 대상으로 실시간 누수음 데이터 수집 및 인공지능(Artificial Intelligence) 분석을 실시하여 기존 조사방법보다 효율적이고 신뢰성 있는 누수탐사를 수행한 사례를 분석하고자 한다.

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Development of Buried Type TDR Module for Leak Detection from Buried Pipe (매설관 주변부 누수 탐지를 위한 매설형 TDR 모듈 개발)

  • Hong, Wontaek
    • Journal of the Korean GEO-environmental Society
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    • v.22 no.11
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    • pp.31-37
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    • 2021
  • To prevent accidents due to the cavities and loosened layers formed due to water leakage from the deteriorated buried pipes, evaluation of the changes in water contents around the buried pipes is required. As a method to evaluate the water contents of the soils, time domain reflectometry (TDR) system can be adopted. However, slender electrodes used in standard TDR probe may be damaged when buried in the ground. Thus, in this study, buried type TDR module was developed for the evaluation of the water contents with maintaining required shape of the electrodes in the ground. The TDR module is composed of three electrodes connected to the core conductor and outer conductor and a casing to prevent deformation and maintain alignment of the electrodes in the ground. For the verification of TDR waveforms measured using the TDR module, comparative analysis was conducted with the TDR waveforms measured using the standard TDR probe, and the relationship between the volumetric water content of the soils and the travel time of the guided electromagnetic wave was constructed. In addition, a model test was conducted to test the applicability of the buried type TDR module, and the experimental result shows that the TDR module clearly evaluates the changes in volumetric water contents due to the leakage from the modeled buried pipe. Therefore, the buried type TDR module may be effectively used for the health monitoring of the buried pipe and the evaluation of the water contents around the pipes buried in the urban pavements.

A Study on Leakage Detection Technique Using Transfer Learning-Based Feature Fusion (전이학습 기반 특징융합을 이용한 누출판별 기법 연구)

  • YuJin Han;Tae-Jin Park;Jonghyuk Lee;Ji-Hoon Bae
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.2
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    • pp.41-47
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    • 2024
  • When there were disparities in performance between models trained in the time and frequency domains, even after conducting an ensemble, we observed that the performance of the ensemble was compromised due to imbalances in the individual model performances. Therefore, this paper proposes a leakage detection technique to enhance the accuracy of pipeline leakage detection through a step-wise learning approach that extracts features from both the time and frequency domains and integrates them. This method involves a two-step learning process. In the Stage 1, independent model training is conducted in the time and frequency domains to effectively extract crucial features from the provided data in each domain. In Stage 2, the pre-trained models were utilized by removing their respective classifiers. Subsequently, the features from both domains were fused, and a new classifier was added for retraining. The proposed transfer learning-based feature fusion technique in this paper performs model training by integrating features extracted from the time and frequency domains. This integration exploits the complementary nature of features from both domains, allowing the model to leverage diverse information. As a result, it achieved a high accuracy of 99.88%, demonstrating outstanding performance in pipeline leakage detection.