• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.376-383
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• 2005

In this study, we conducted geophysical investigations for the organization of integrated geophysical methods to detect underground cavities of ground subsidence area at the field test site, located at Yongweol-ri, Muan-gun. We examined the applicability of geophysical methods such as electrical resistivity, electromagnetic, and microgravity to cavity detection with the aid of borehole survey results. Underground cavities are widely present within the limestone bedrock overlain by the alluvial deposits in the area of the test site where the ground subsidences have occurred in the past. The limestone cavities are mostly filled with groundwater and clays in the test site. Thus, cavities have low electrical resistivity and density compared to the surrounding host bedrock. The results of the study have shown that the zones of low resistivity and density correspond to the zones of the cavities identified in the boreholes at the site, and that the geophysical methods used are very effective to detect underground cavities. Furthermore, we could map the distribution of cavities more precisely with the test results incorporated from the various geophysical methods. It is also important to notice that the microgravity method is a very promising tool since it has rarely used for the cavity detection in korea. Beyond the investigation of underground cavities, the geophysical methods are required to provide useful information for the reinforcement design for the ground subsidence areas. It is, therefore, necessary to develop integrated geophysical technique incorporating different geophysical methods to precisely map underground cavities and image the subsurface of the ground subsidence areas.

• 국제초고층학회논문집
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• 제2권4호
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• pp.331-340
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• 2013

The main topic of this paper is to show a possibility of indoor air quality enhancement and the fan energy savings in underground parking facilities by applying the demand-controlled ventilation (DCV) strategy based on the real-time variation of the traffic load. The established ventilation rate is estimated by considering the passing distance, CO emission rate, idling time of a vehicle, and the floor area of the parking facility. However, they are hard to be integrated into the real-time DCV control. As a solution to this problem, the minimum ventilation rate per a single vehicle is derived in this research based on the actual ventilation data acquired from several existing underground parking facilities. And then its applicability to the DCV based on the real-time variation of the traffic load is verified by simulating the real-time carbon monoxide concentration variation. The energy saving potentials of the proposed DCV strategy is also checked by comparing it with those for the current underground parking facility ventilation systems found in the open literature.

• 한국산학기술학회논문지
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• 제12권11호
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• pp.5123-5127
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• 2011

증가 추세인 지중 전력설비의 사고 예방과 유지 보수를 위한 기술 연구 개발 요구가 증가하고 있다. 지중선로의 경우 누전 불량의 점유율이 높고 보수도 어려워 정확한 누전점 위치의 탐지가 중요하다. 교류 송신파를 누전점을 가지는 지중선로에 인가하여 발생시킨 교류 대지전위를 측정하여 누전점의 위치를 찾는 방법은 송신파 특정 극성반주기에 교류 대지전위를 동기화하여 비교 판단하여야 한다. 송신파의 특정 극성의 반주기와 동기화하는 기존 방법을 설명하고, 송신파 반주기 변조된 대지 전위 측정 방식을 제안하고 소개하였다. 실험을 통하여 제안한 방식이 구현 가능함을 확인하였다.

• 전기학회논문지
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• 제56권7호
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• pp.1191-1198
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• 2007

In this paper, the fault detection and noise cancellation algorithm based on wavelet transform was developed to locate the fault more accurately. Specially, noise cancellation algorithm was based on the correlation of wavelet coefficients at multi-scales. Fault detection, classification and location algorithm were tested by EMTP simulation on real power cable system. From these results, the faults can be detected and located even in very difficult situations, such as at different inception angle and fault resistance.

• 지구물리와물리탐사
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• 제25권4호
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• pp.189-200
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• 2022

도심지 도로에서의 지하공동 붕괴로 인한 지반침하 문제는 인명 및 재산 피해로 이어질 수 있기 때문에 이를 예방하기 위해서는 사전에 지하공동을 탐지하고 복구하는 과정이 필요하다. 지하공동 탐지는 주로 지표투과레이더(ground penetrating radar, GPR) 탐사를 통해 이루어지는데, 방대한 탐사 자료로 인해 해석에 많은 시간이 소모되고 전문가의 숙련도와 주관에 따라 해석 결과가 달라질 수 있다. 이러한 문제를 해결하기 위해 GPR 자료 해석 자동화 및 정량화 기법들이 연구되어 왔으며, 최근에는 딥러닝 기반의 해석 기법들이 많이 활용되고 있다. 이 연구에서는 딥러닝 기반의 GPR 자료해석 기법 중 쌍곡선(hyperbola) 신호를 탐지하는 과정에 대해 기존 연구에서 개발된 기법을 단계별로 실증 예제를 통해 설명하였다. 먼저, 쌍곡선 신호를 자동으로 탐지하기 위해서 딥러닝 기반 YOLOv3 객체탐지 기법을 적용했다. 다음으로는 column-connection clustering (C3) 알고리즘을 통해 쌍곡선 신호만을 추출하였고, 최종적으로 회귀분석을 통해 지하공동의 수평위치를 결정했다. YOLOv3 객체탐지 기법을 이용한 쌍곡선 신호 탐지 성능은 AP50 기준으로 정밀도 84%, 재현율 92%를 달성했다. 지하공동 수평위치 정확도는 4개 샘플에 대해 실제 위치와 약 0.12 ~ 0.36 m 정도의 차이를 보였다. 이를 통해 지하공동에 의해 나타나는 쌍곡선 신호에 대한 딥러닝 기반 탐지 기법의 적용성을 확인할 수 있었다.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제4권1호
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• pp.25-29
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• 2000

The present study evaluated the body burden of aromatic VOCs in roadside and underground storekeepers. The Method Detection Limit(MDL) of the analytical system ranged from 0.2 to 0.4$\mu\textrm{g}$/m3 for the target VOCs. The recovery of the sampling system for the compounds was above 80%. For all the target compounds, the breath concentrations of the smokes were similar to or slightly higher than those of the nonsmokers for both the roadside and underground storekeepers. For Ethylbenzene, p-Xylene, and o-Xylene, the breath concentrations of the underground storekeepers were somewhat higher than those of the roadside storekeepers. In contrast, the breath m-xylene concentration of underground storekeepers was similar to that of roadside storekeepers. For both the roadside and underground storekeepers, the breath concentrations prior to and after work were not significantly different.

• 터널과지하공간
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• 제3권2호
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• pp.109-117
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• 1993

The existence and exact location of cavity is very important for the stability of the large underground storage house or building. Numerical method such as finite element method and finite diference methods are widely used because of model's complexity. Preliminary tests such as calculation step test, mesh size test and model size test were tried. Upper shadow zone and lower shadow zone can be calculated from 50% amplitude level of measuring data. From these statistical methods, the calculatied position of cavity coincided nearly with actual position of model testing cavity.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1998년도 추계학술대회 논문집
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• pp.69-72
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• 1998

A study to identify the energized status of the 22.9kV underground power cable by the detection of vibration was reformed. We derived that there exists vibration at double the line frequency in live cables by electromagnetic force. The vibration can be picked up by accelerometer sensor. A prototype was tested on the underground distribution system in Chonan Station, KEPCO. The results are presented and suggest the applicability of the detecting device.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 1998년도 공동 심포지엄 및 추계학술발표회
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• pp.169-173
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• 1998

The practice of the construction and management of the underground petroleum storage facilities in Korea was investigated extensively, and the problems were identified. The advanced technologies in the U.S.A was comparatively studied. Considering the effectiveness of leak prevention and technology applicability, the following measures were suggested. To prevent corrosion of the tank, a clad tank, an interior-lining tank, or a double-wall tank was appropriate and appeared to be most cost effective. For piping, non-metalic material was suggested. To prevent spill, a catchment basin can be effective. For monitoring of leak, construction of more than one of one or combination of an automatic leak-detection device, a vapor-detection system, a ground water-monitoring system, and a double-wall detection system was recommended.

• 한국소음진동공학회논문집
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• 제14권2호
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• pp.95-104
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• 2004

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, accelermeters aroused to detect leak locations which could provide an easier and more efficient method. Filtering, signal processing and algorithm of raw input data from sensors for the detection of leak location are described. A 120m-long and a 70m-long experimental pipeline systems are installed and the results with the systems show that the algorithm with the accelerometers offers accurate pinpointing for leaks location detection. Theoretical analysis of sound wave propagation speed of water in underground pipes, which is critically important in leak locating, is also described.