Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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A Study on the Safety Monitoring of Bridge Facilities based on Smart Sensors

스마트 센서 기반의 교량 시설물 안전 모니터링 기법 연구

  • 연상호 (세명대학교 대학원 건설공학과) ;
  • 김종수 (대림산업(주) 토목사업부) ;
  • 연춘흠 ((주)대교컨설턴트 기술연구소)
  • Received : 2019.03.15
  • Accepted : 2019.06.12
  • Published : 2019.06.30
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Abstract

Today, many smart sensor's measurement instruments are used to check the safety situation of various medium and large bridge structures that should be maintained in the construction facilities, but most of them use the method of measuring and confirming the displacement behavior of the bridge at regular intervals. In order to continuously check the safety situation, various measuring instruments are used, but most of them are not able to measure and measure the displacement and behavior of main construction structures at regular intervals. In this study, GNSS and environment smart sensors and drone's image data are transmitted to wireless network so that risk of many bridge's structures can be detected beforehand. As a result, by diagnosing the fine displacement of the bridge in real time and its condition, reinforcement, repair and disaster prevention measures for the structural parts of the bridges, which are expected to be dangerous, and various disasters and accidents can be prevented, and disaster can be prevented could suggest a new alternative.

오늘날 수많은 건설 시설물 중에서 항상 시설하여 관리해야하는 다양한 중대형 교량구조물의 안전상황을 점검하기 위하여 여러 가지의 계측장비를 이용하고 있지만 대부분 일정한 주기별로 교량의 변위거동을 측정하고 확인하는 방법을 사용하고 있다. 지속적으로 안전상황을 점검하기 위하여 여러 가지의 계측장비를 이용하고 있지만 대부분 실시간으로는 주요 시설물의 변위와 거동을 측정하고 상시적으로 확인하지 못하고 있는 것이다. 본 연구에서는 대형 교량구조물의 운행에 위험을 사전에 감지할 수 있도록 GNSS 및 환경센서와 드론영상 데이터를 무선 네트워크로 전송하여 사용할 수 있도록 하였다. 그 결과, 실시간으로 교량의 미세변위와 그 상태를 진단함으로서 위험 요소가 예상되는 교량의 구조부에 대한 보강, 수리 및 재해 방지 조치가 가능하도록 하여, 각종 재난과 사고를 사전에 예방하고 방재할 수 있는 새로운 대안을 제시할 수 있었다.

Keywords

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FIGURE 1. Result of Image Matching on the Aerial photo with New Submarine-Dam Sructure (Ippo Aerea)

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FIGURE 2. Dtata Processing from Ubiquitius Sensors (CheongPyung Bridgee Section-B, 2017.5.30. 15:35)

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FIGURE 3. Measuring Dtata from IoT Sensors (Cheong-Pyung Bridge Section-B, 2018.5.30.)

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FIGURE 4. Compare Dtata of IoT Vibration Sensors at the Cheong Pyung Bridgee as Ture Boat Passing

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FIGURE 5. Making Program of Measurers Data from IoT Sensors(Temperature, Humidity, UlralLigh,N. CO2).

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FIGURE 6. Measurers Data from IoT Sensors on the Railway (Bridge Bridges Railway 0~43~69db)

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FIGURE 7. Measurers Data from USN Sensors on the Railway

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FIGURE 8. GNSS Survey on the Bangwha Bridge

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FIGURE 9. GNSS Displacement on the Bangwha Brid.

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FIGURE 5. Making Program of Measurers Data from IoT Sensors on the Railway Bridge

TABLE 1. The result of Analysis of Environment Site by USN

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