Research on Technology Trends for SHM-based AIoT Infrastructure Monitoring Services

Myungseon Ryou; Taerim Park; Youngsoo Park; Kijung Park; Sung-Han Sim

doi:10.22725/JSRP.2024.2.2.61

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2024 Vol.2, Issue 2 Next Page

Research Article

Research on Technology Trends for SHM-based AIoT Infrastructure Monitoring Services SHM 기반 AIoT 시설물 모니터링 서비스 기술 및 적용 방향 연구

31 December 2024. pp. 61-73

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Abstract

SHM-based monitoring uses sensors to analyze the structure of facilities. This field requires the integration of advanced IT technology specialized in facility monitoring and civil safety management technology. It also requires substantial effort in actual field management and response actions. This study reviewed and presented recent trends of combining AI and IoT to provide a facility management service. Currently, many facilities, aside from large-scale national infrastructure, face monitoring blind spots. In addition, the utilization of monitoring systems, which were constructed with significant investment, is often low, or the adoption of new technologies is hindered. To address these issues, we introduced trends in systems that allow clients to directly select and subscribe to necessary maintenance services. ① It introduces hardware and software equipped with the latest AI and IT technology, ② includes professional safety management algorithms for comprehensive management, and ③ presents cases that cover field issue analysis, installation, and maintenance services. Through this, we presented technology trends that enable automated system construction and maintenance, continuous upgrades, and reliable safety management.

Keywords

SHM-based facility monitoring

AIoT sensor-based

automatic tension calculation

high-reliability diagnostic algorithm

structural abnormality detection

SHM 기반 모니터링은 센서를 기반으로 시설물의 구조를 분석하기 위해 사용된다. 시설물 모니터링 분야의 전문적인 IT기술과 토목안전관리 기술의 융합이 필요하고, 실제 현장관리와 조치 등에 상당한 노력이 필요하여 AI와 IoT를 결합하여 시설물 관리용 서비스로 제공되고 있는 최신 기술의 동향을 연구하여 검토하고 사례를 제시하였다. 현재 대규모 국가 기간 시설물을 제외하고는 모니터링 사각지대에 놓여있다. 또한, 막대한 비용으로 구축된 모니터링 시스템의 활용도가 떨어지거나, 새로운 기술에 대한 도입이 원활하지 않은 상황이다. 이러한 문제를 해결하기 위해 유지관리 분야의 필요 서비스를 고객이 직접 선택해 구독할 수 있게 하는 시스템을 제공하는 동향에 대해 제시하였다. ① 최신 AI와 IT 기술이 적용된 HW와 SW를 제시하고, ② 전문적인 안전관리 알고리즘을 통한 관리 뿐 아니라 ③ 현장 문제 분석, 설치 및 유지보수까지 포함하는 서비스를 수행하는 사례를 제시하였다. 이를 통해서 시스템 구축 및 유지관리 시간을 자동으로 하고 지속적인 업그레이드 및 신뢰성 있는 안전관리가 가능한 기술동향을 제시하였다.

키워드

SHM 기반 시설물 모니터링

AIoT 센서 기반

자동장력 계산

고신뢰 진단 알고리즘

구조물 이상상태 탐지

References

Charles, R. Farrar, Keith Worden (2012) Structural Health Monitoring a machine learning perspective, WILEY.

10.1002/9781118443118

Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J. A., Sim, S.-H., Jung, H.-J., Yun, C.-B., Spencer, Jr., B. F. and Agha, G. (2010) Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation. Smart Structures and Systems 6(6), 439-459.

10.12989/sss.2010.6.5_6.439

Jin, S.-S., Jeong, S., Sim, S.-H., Seo, D.-W. and Park, Y.-S. (2021) Fully automated peak-picking method for an autonomous stay-cable monitoring system in cable-stayed bridges. Automation in Construction 126, 103628.

10.1016/j.autcon.2021.103628

Kim, E.-J., Cho, S.-J. and Sim, S.-H. (2015) A Recent Research Summary on Smart Sensors for Structural Health Monitoring. Journal of the Korea Institute for Structural Maintenance and Inspection 19(3), 10-21.

10.11112/jksmi.2015.19.3.010

Ko, J. M. (2005) Technology Developments in Structural Health Monitoring of Large-scale Bridges. Engineering Structures 27, 1715-1725.

10.1016/j.engstruct.2005.02.021

Ko, J. M. (2013) Structural Health Monitoring and Intelligent Vibration Control of Cable-Supported Bridge: Research and Application. KSCE Journal of Civil Engineering 7, 701-716.

10.1007/BF02829139

Korea Reserch Institute for Construction (2023) RICON Construction Brief, 2023 Nov Vol 55 (In Korean)

Lamonaca, F., Sciammarella, P. F., Scuro, C., Carni, D. L. and Olivito, R. S. (2018) Synchronization of IoT Layers for Structural Health Monitoring. 2018 Workshop on Metrology for Industry 4.0 and IoT 16-18.

10.1109/METROI4.2018.8428329

Lee, Y.-J. and Cho, S. (2016) SHM-Based Probabilistic Fatigue Life Prediction for Bridges Based on FE Model Updating. Sensors 16(3), 317

10.3390/s1603031726950125PMC4813892

MidasIT, Globiz, Posco E&C (2017) Final Report on the Development of an Integrated Monitoring System for Real-Time Health Assessment of Large Structures, MoLIT / KAIA (In Korean)

WisenGlobal, KICT (2021) Final Report on the Planning of Smart Construction and Maintenance Research Project for Underground Facilities, MoLIT / KAIA (In Korean)

Information

Publisher :Korean Institute of Bridge and Structural Engineers
Publisher(Ko) :한국교량및구조공학회
Journal Title :Journal of Structure Research and Practice
Journal Title(Ko) :한국교량및구조공학회 논문집
Volume : 2
No :2
Pages :61-73
Received Date : 2024-11-08
Revised Date : 2024-11-25
Accepted Date : 2024-11-26
DOI :https://doi.org/10.22725/JSRP.2024.2.2.61

Journal of Structure Research and Practice ISSN:3022-4241(Print) 3022-7267(Online) 한국교량및구조공학회 논문집

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