• Title/Summary/Keyword: 지하시설물도

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UFSN : Underground Facility Sensor Network (도시 지하시설물 관리를 위한 USN 기술 연구)

  • Kwon, Young-Min;Lee, Hyung-Su;Song, Byung-Hun
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.9 no.3
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    • pp.86-91
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    • 2010
  • In this paper, we introduce UFSN (Underground Facility Sensor Network) in order to build the intelligent management system for the underground facility and drainage in convergence with ubiquitous technologies. and propose the three type of UFSN.

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일본의 GIS 이용현황

  • ;Yeom, Hyeong-Min
    • Magazine of the Korean Society of Hazard Mitigation
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    • v.3 no.4 s.11
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    • pp.77-83
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    • 2003
  • 최근 NGIS, 토지정보관리체계화 등 중앙정부차원의 사업이나 도시정보화사업, 지하시설물 전산화 사업 등 지방자치단체를 중심으로 GIS를 활용한 사업이 본격적으로 시작되고 있다. 이 시점에서 일찍이 GIS에 대한 깊은 관심을 갖고 사업을 추진해 오고 있는 일본의 사례는 시사하는 바가 적지 않을 것이다. 이 글은 일본의 토지총합연구 1999년 가을호에 기고된 재단법인 일본건설정보총합센터의 히라이마사지 수석연구원의 글을 번역정리, 우리보다 앞서 GIS를 활용한 일본의 사례를 살펴보고자 한다.

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Development of Campus Facility Management System using GIS - Focused on Kyungpook National University - (GIS를 이용한 대학시설물 관리시스템 개발 - 경북대학교를 중심으로 -)

  • Lee, Seung-Yeob;Im, Yong-Ho;Choi, Hyun-Sang
    • Journal of the Korean Association of Geographic Information Studies
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    • v.1 no.1
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    • pp.18-27
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    • 1998
  • This paper, deals with the developmental result of university facility management system using GIS, is to explain the developmental process of this system and the merits and the faults of GIS facility management system. Facility management, as a discipline, is the practice of coordinating the people and the work of an organization into the physical workplace. According to rising costs for the facility management and effective management for the existing facility, the organization need to optimize the use of existing facilities and equipment to prevent unnecessary investments in facilities and equipment. The purpose of this study is to build GIS based university facility management system using GIS. Based on 1/5,000 from national geography institute and 1/600 map, we construct base map for study and, using genasys genius program, we made facility management system. This system includes geographic management, infrastructure management and building management, and, using each attribute information, it is possible to use not only for effective management for existing facilities but also available to future decision making.

The Study on the Construction of Safety Management Systems on Underground Multiplex Facilites (지하 다중이용시설 안전관리 체계 구축 방안 연구)

  • Seo, Tae-Woong;Lee, Jeong-Eun;Jung, Myung-Kyun;Kim, Chang-Soo
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.165-168
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    • 2008
  • Recently, the damage which is caused by human misfortune in the underground space have increased. However the regulation and law for the underground space safety is still poor. Therefore in this paper, we propose the scheme for the construction of safety management systems on underground multiplex facilities. We analyze the problem of the current law, and present the scheme for the underground shop fire fighting facility. It contains the tree structure to management the underground space according to the construction phase, the facility and immediacy equipment. This safety management system will rearrange the scattered underground space management system.

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Soil-Cement를 이용한 지하댐 차수벽 재료의 강도 특성 평가

  • Im Eun-Sang;Seo Min-U;Kim Hyeong-Su;Sin Dong-Hun
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2005.04a
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    • pp.228-231
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    • 2005
  • 본 연구는 지하수를 생활용수로 활용하기 위한 시설물로 검토되고 있는 지하댐을 건설함에 있어 유력한 공법으로 제안되고 있는 SCW(Soil Cement Wall) 차수벽 설계지침을 마련하기 위하여 수행된 시험결과이다. 실험을 통해 SCW 각 혼합재료의 함유율에 따른 일축압축강도와 차수벽체의 강성을 나타내는 평균탄성계수를 산정하였으며, 혼합재료의 함유율과 양생조건을 조절하면 지하댐과 같은 구조물에 최적의 조건이라고 할 수 있는 고강도 저강성 벽체의 구현이 가능하다는 것을 확인하였다.

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Business impact analysis for disaster management of large underground limestone mine (석회석광산 지하대형공간의 재난관리를 위한 업무영향력 분석)

  • Lee, Seong-Min;Kim, Sun-Myung;Lee, Yeon-Hee
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.15 no.6
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    • pp.613-623
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    • 2013
  • As Limestone mines have been operated with various environmental, societal and managemental problems depending on their characteristics and developing methods, many great efforts have been applied to solve these problems. Installing the mining facilities underground is one of the successful efforts to keep the sustainable limestone mine development. This effort could reduce these problems. However, unfortunately it made an side effect of constructing a large underground space in mining site. Moreover, this space caused a necessity of various disaster managements for the safety of workers and facilities. This study introduces the priority list of a limestone mining process if there are disasters in underground mining site. This result is coming from the risk assessment and business impact analysis on survey data which were obtained from the miners of that particular limestone mine. According to the result, the highest risk is 'disregard of safety guidelines in crushing & classifier process'. The result also shows the highest priority business, above all things, is 'a pit linked work of in & out process'.

Development of a Pavement Cutter for Eco-friendly Road Excavation Construction (친환경 도로굴착 시공을 위한 도로절단기 개발)

  • Kim, Kyoontai
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.6
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    • pp.111-118
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    • 2022
  • Recently, as underground facilities buried under roads in Korea are aging, the amount of underground facility maintenance work is rapidly increasing. For the maintenance and management of such underground facilities, the cutting work of the road pavement should be preceded. However, the conventional road pavement cutters used in Korea are not eco-friendly, and the reality is that they generate a lot of noise and cutting sludge (scattering dust). Therefore, in this study, the concept of the cutting sludge recovery device was derived, and an eco-friendly pavement cutter including this function was designed and manufactured. The developed equipment took about 20 to 30 seconds to cut 1m to a depth of 100 to 150mm. Also, the sludge suction performance was good in most sections, and the noise level of the equipment briefly measured at a distance of 2m was 82.7dB on average. However, due to the limitation that the developed equipment was at the level of the first prototype, the driving stability was somewhat low, and equipment abnormalities such as engine shutdown and sludge recovery performance decreased in some cases. The cutting performance and sludge recovery function will be more stable through tuning and improvement of the developed prototype in the future. In addition, we plan to quantitatively compare and analyze productivity by applying the improved prototype to actual field conditions.

Crack detection in concrete using deep learning for underground facility safety inspection (지하시설물 안전점검을 위한 딥러닝 기반 콘크리트 균열 검출)

  • Eui-Ik Jeon;Impyeong Lee;Donggyou Kim
    • 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.

Risk Assessment Program of underground buried Pipeline Development (지하매설배관의 위험성평가 프로그램 개발)

  • Kim Tae Wook;Sung Jun Sik;Cho Yong Hyun
    • Journal of the Korean Institute of Gas
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    • v.4 no.2 s.10
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    • pp.37-45
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    • 2000
  • The underground buried pipelines of Natural gas are relatively safer than any other pipelines of chemical plants, because Natural gas is non-corrosive fluid. But Natural gas is supplied normally the downtown area. So, it may be a disaster because of corrosion which is caused interference facilities, environment and third party accident which is caused facilities construction. Especially, it is very difficult to find out and inspect damages of pipeline because of buried pipelines. Therefore this paper approached to select and manage risk region pipelines according to introduction of underground buried pipeline's risk concept. Risk was indicated three parts - corrosion factor, design and construction factor, maintence and management factor - in this paper, Therefore qualitive risk of pipelines showed score as quantitative number. Also it was thought to be helpful in confidence and safety management that the concept of key index and failure supplementation measures to cost introduces this program. We developed this risk assessment program using visual basic tool and interfaced GIS.

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Energy Harvesting System for Underground Facility Sensor (지하시설물용 센서 네트워크를 위한 에너지 획득 장치)

  • Kwon, Young-Min;Lee, Hyung-Su
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.136-137
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    • 2009
  • In this paper, we introduce UFSN(Underground Facility Sensor Network) in order to build the intelligent management system for the underground facility and drainage in convergence with ubiquitous technologies and propose the energy harvesting system for UFSN.

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