• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.665-672
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• 2023

Purpose: Underground utility tunnel is facility that is jointly house infrastructure such as electricity, water and gas in city, causing condensation problems due to lack of airflow. This paper aims to prevent electricity leakage fires caused by condensation by detecting whether the control panel door in the underground utility tunnel is open using a deep learning model. Method: YOLO, a deep learning object recognition model, is trained to recognize the opening and closing of the control panel door using video data taken by a robot patrolling the underground utility tunnel. To improve the recognition rate, image augmentation is used. Result: Among the image enhancement techniques, we compared the performance of the YOLO model trained using mosaic with that of the YOLO model without mosaic, and found that the mosaic technique performed better. The mAP for all classes were 0.994, which is high evaluation result. Conclusion: It was able to detect the control panel even when there were lights off or other objects in the underground cavity. This allows you to effectively manage the underground utility tunnel and prevent disasters.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.1
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• pp.23-38
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• 2018

Up to now, most of studies on seismic analysis have been limited to analyze buildings and underground structures individually so that the interaction between them could not be analyzed effectively. Thus, in this study, a dynamic analysis was conducted for soil-structure interaction with a complex underground facility composed of a building and an adjacent underground structure constructed on a surface soil and the bed rock ground conditions. Seismic stability was analyzed based on interstory drift ratio and bending stress of structure members. As a result, an underground structure has more effect on a high-rise building than a low-rise building. However the above structures were proved to be favorable for seismic stability. On the other hand, tensile bending stresses exceeded the allowable value at the underground part of the building and the adjacent underground structure so that it turned out that the underground part could be weaker than the above part. Therefore, it is inferred that above and underground structures should be analyzed simultaneously for better prediction of their interaction behavior during seismic analyses because there exist various structures around buildings in big cities.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.635-640
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• 2023

Creating New Value Through Digital Transformation Across Industries Worldwide: A Focus on Transitioning from CAD to BIM Design in the Construction Sector with the Implementation of Mandatory BIM Design by 2025 by the Ministry of Land, Infrastructure, and Transport in South Korea. Challenges and Proposed Methodology for Enhancing Efficiency in BIM Design in the Civil Engineering Field of Underground Infrastructure, and Nurturing BIM Design Experts.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.280-280
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• 2020

지구 온난화 현상 및 이상기후로 지구환경 변화는 물환경 변화에 많은 영향을 미치고 있다. 특히, 지표수에 의존도가 높은 국내의 수자원 공급시스템은 지구환경 변화에 의한 강우 분포의 시간적, 공간적 불균질성에 대한 취약성이 높으며, 이에 기후변화에 따른 상대적 변동성이 적은 지하수자원의 활용 가능성이 높아지고 있다. 지하수 인공함양 기술은 강우, 지하수 및 하수 처리수 등의 잉여 수자원을 관정, 수로, 인공함양 분지 및 습지, 지하댐 등의 인공시설물을 활용하여 지하 대수층에 주입시킨 후 양질의 수자원을 확보하는 기술이다. 이번 연구에서는 수치해석을 활용하여 함양지역의 유역형상 및 지층경사, 대수층 두께, 체류시간, 수리상수 등 수리지질 인자를 고려한 인공함양 방식별 인공함양 효율성을 평가하고자 한다. 인공함양 방식은 수직관정 및 수로(Ditch)를 적용하였다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.555-567
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• 2023

The cracks in the tunnel are currently determined through visual inspections conducted by inspectors based on images acquired using tunnel imaging acquisition systems. This labor-intensive approach, relying on inspectors, has inherent limitations as it is subject to their subjective judgments. Recently research efforts have actively explored the use of deep learning to automatically detect tunnel cracks. However, most studies utilize public datasets or lack sufficient objectivity in the analysis process, making it challenging to apply them effectively in practical operations. In this study, we selected test datasets consisting of images in the same format as those obtained from the actual inspection system to perform an objective evaluation of deep learning models. Additionally, we introduced ensemble techniques to complement the strengths and weaknesses of the deep learning models, thereby improving the accuracy of crack detection. As a result, we achieved high recall rates of 80%, 88%, and 89% for cracks with sizes of 0.2 mm, 0.3 mm, and 0.5 mm, respectively, in the test images. In addition, the crack detection result of deep learning included numerous cracks that the inspector could not find. if cracks are detected with sufficient accuracy in a more objective evaluation by selecting images from other tunnels that were not used in this study, it is judged that deep learning will be able to be introduced to facility safety inspection.

• Journal of the Korean Geotechnical Society
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• v.21 no.7
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• pp.63-72
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• 2005

Grounwater level applied on dredged and reclaimed clay layer was assumed to be the same value under design criterion as field test one, but actually differences are found through the monitoring test. In this study, a case study of measuring residual groundwater level is performed in ground improvement construction of Gwangyang container terminal and hinterland. With priority given to residual groundwater level measured during construction and management period of 9 years, it is investigated that residual groundwater level (R. GWL) could be applied reasonably to the design, construction, and use stages of the container harbor and land development.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.173-186
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• 2020

In this paper, we design and implement a service system for mobile devices to utilize the integrated underground geospatial information map in underground exploration fields. The field utilization service system for mobile devices is designed to visualize tiled maps, 3D terrain information, underground structures, underground facilities, and ground information provided by the Integrated Underground Geospatial Information Map Management System according to current position. And It is designed to reflect the results obtained from field exploration in real time. Also, the proposed system is implemented to transfer and visualize the integrated underground geospatial information map in the form of a glTF format due to constraints on wireless networks and device characteristics of mobile devices. Implemented mobile service systems can prevent accidents in underground exploration field from occurring by providing users with accurate and integrated underground geospatial data by visualizing maps and geospatial objects in three dimensions at underground exploration fields. In addition, updated underground geospatial data is transmitted in real time to the Integrated Underground Geospatial Information Map Management Systems, which can maintain up to date and accuracy.

• Journal of the Korean Society for Railway
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• v.13 no.6
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• pp.608-616
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• 2010

Seoul Metropolitan Rapid Transit Corporation, managing the line number 5,6,7 and 8 has inspected and maintained for the maintenance of the facilities spread in the extended 152km and 148 stations. Despite the thorough inspection for prevention of the facility failure, the failure has continuously occurred, due to the environmental factors of the underground, mechanical worn-out caused by frequent use, aging facilities, system error, negligence on use, etc. We have achieved a 53.4% reduction in the number of failure by the end of June, 2010 by breaking the conventional way of inspections and maintenance and by adopting quantitative goal management and new way of work. In this paper, we will analyze the problems of inspections and maintenance of the railway facilities, the failure reduction strategy and the performance of each strategy.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.65-74
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• 2011

With the rapid development of cites, urban facilities have rapidly been increasing, and the task of managing them have also become complicated more and more. In this paper, we propose and design an intelligent context awareness system that effectively operates underground facilities in u-City. The suggested system consists of three major steps. The information acquisition step receives alarm information of sensors from the integrated platform. The analysis and inference step analyzes the alarm data and related information and infers the reason why the alarm happens. The information transmission step sends the final results of context awareness to the platform and other related modules. We produced some design products such as data flow diagram, function diagram, etc. We expect that the proposed context awareness system will be embedded in the integrated platform and used for an active management strategy of urban facilities.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.393-402
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• 2022

Effective data management of underground facilities is very important in terms of human life. For this, input of up-to-date and high-accuracy data should be preceded. Therefore, it is important to have an efficient data input method. In this study, by developing a sewage facility site survey program using open source software, paper drawings could be replaced with tablet PCs. By using a tablet PC, figures and property information acquired from the field are transmitted in real time through a database server. PostGIS query is developed to automate structured editing to minimize manual work in constructing a GIS (Geographic Information System) database for sewage facilities. did. In addition, the database was built using the sewage facility GIS database building program. As a result of comparing and analyzing the existing sewage facility database construction, work process, and work time, the work process was simplified and work time was shortened. In addition, through simple customization of open source software, it will be able to be used for field surveys and database construction in other fields.