BIM-Based Methods for Road Maintenance Management through Embedded Sensor and Road Damage Detection

Sanghun Kang; Sungjin Kang; Jaeheum Yeon

doi:10.13161/kibim.2024.14.4.035

All Issue

2024 Vol.14, Issue 4 Preview Page Next Page

Research Article

BIM-Based Methods for Road Maintenance Management through Embedded Sensor and Road Damage Detection BIM 기반 매립 센서와 도로 손상 탐지를 통한 도로 유지보수 관리 방법

31 December 2024. pp. 35-44

PDF XML

Abstract

Embedded sensors in structures such as in roads play a critical role in monitoring structural degradation and ensure safety and longevity of structures. However, while initial positioning of these sensors is straightforward, accurately locating buried sensors becomes a challenge especially as road surfaces degrade over time. When sensors require maintenance, such as battery replacements, malfunction repairs, or damage fixes, the accuracy of their location is crucial to prevent unnecessary costs and road destruction, wasted labor hours, and compromised data integrity. This paper addresses this issue by proposing the BIM-based framework to accurately model and record the precise coordinates of sensors in using Revit-Dynamo approach. The BIM system not only documents sensor locations at the time of installation but also continuously updates this information as the road surface evolves. By using Dynamo automation, sensor data – including latitudes, longitudes, and elevation – is efficiently imported and managed within the BIM model, minimizing errors and enhancing operational efficiency. The study’s approach shifts maintenance practices from a reactive to a proactive model, allowing for timely interventions based on accurate sensor location data. Furthermore, this paper explores the scalability of the approach for other infrastructure types and lays the groundwork for future technological enhancements, such as AI and IoT integration for predictive maintenance.

Keywords

Road Maintenance

BIM, Dynamo

Embedded Sensor

Location Management

Coordinates

키워드

도로 유지보수

BIM

다이나모

매립 센서

위치 관리

좌표

References

Banfi, F., Barazzetti, L., Previtali, M., Roncoroni, F. (2017). Historic BIM: A New Repository for Structural Health Monitoring. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, pp. 269-274.

10.5194/isprs-archives-XLII-5-W1-269-2017

Bučko, B., Lieskovská, E., Zábovská, K. Zábovský, M. (2022). Computer Vision Based Pothole Detection under Challenging Conditions, Sensors. 22(22), p. 8878.

10.3390/s2222887836433474PMC9694379

El-Maissi, A. M., Argyroudis, S. A. Nazri, F. M. (2020). Seismic Vulnerability Assessment Methodologies for Roadway Assets and Networks: A State-of-the-Art Review, Sustainability. 13(1), p. 61.

10.3390/su13010061

Fernandez, I., Berrocal, C. G. Rempling, R. (2021). Long-Term Performance of Distributed Optical Fiber Sensors Embedded in Reinforced Concrete Beams under Sustained Deflection and Cyclic Loading, Sensors. 21(19), p. 6338.

10.3390/s2119633834640657PMC8512489

Ferreira, P.M., Machado, M.A., Carvalho, M.S. Vidal, C. (2022). Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review, Sensors, 22(21), p. 8320.

10.3390/s2221832036366018PMC9654583

Kazado, D., Kavgic, M. Eskicioglu, R. (2019). Integrating Building Information Modeling (BIM) and Sensor Technology for Facility Management, Journal of Information Technology in Construction (ITcon), 24(23), pp. 440-458.

Kim, Y.-M., Kim, Y.-G., Son, S.-Y., Lim, S.-Y., Choi, B.-Y. Choi, D.-H. (2022). Review of Recent Automated Pothole- Detection Methods, Applied Sciences, 12(11), p. 5320.

10.3390/app12115320

Liu, Y., Deng, F., He, Y., Li, B., Liang, Z. Zhou, S. (2017). Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag, Sensors, 17(7), p. 1463.

10.3390/s1707146328640188PMC5539613

O'Shea, M., Murphy, J. (2020). Design of a BIM Integrated Structural Health Monitoring System for a Historic Offshore Lighthouse, Buildings, 10(7), p. 131.

10.3390/buildings10070131

Pan, W., Sun, X., Wu, L., Yang, K. Tang, N. (2019). Damage Detection of Asphalt Concrete Using Piezo-Ultrasonic Wave Technology, Materials, 12(3), p. 443.

10.3390/ma1203044330709018PMC6384599

Panah, R. S., Kioumarsi, M. (2021). Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review, Sensors, 21(3), p. 837.

10.3390/s2103083733513932PMC7866213

Park, S.-S., Tran, V.-T. Lee, D.-E. (2021). Application of Various YOLO Models for Computer Vision-Based Real- Time Pothole Detection, Applied Sciences, 11(23), p. 11229.

10.3390/app112311229

Plati, C. (2019). Sustainability Factors in Pavement Materials, Design, and Preservation Strategies: A Literature Review, Construction and Building Materials, 211, pp. 539-555.

10.1016/j.conbuildmat.2019.03.242

Ruiz, A., Guevara, J. (2020). Sustainable Decision-Making in Road Development: Analysis of Road Preservation Policies, Sustainability, 12(3), p. 872.

10.3390/su12030872

Scianna, A., Gaglio, G. F. La Guardia, M. (2022). Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model, ISPRS International Journal of Geo- Information, 11(3), p. 173.

10.3390/ijgi11030173

Strangfeld, C., Johann, S. Bartholmai, M. (2019). Smart RFID Sensors Embedded in Building Structures for Early Damage Detection and Long-Term Monitoring, Sensors, 19(24), p. 5514.

10.3390/s1924551431847193PMC6960680

Valinejadshoubi, M., Moselhi, O., Bagchi, A. (2022). Integrating BIM Into Sensor-Based Facilities Management Operations, Journal of Facilities Management, 20(3), pp. 385-400.

10.1108/JFM-08-2020-0055

Yan, S., Ma, H., Li, P., Song, G. Wu, J. (2017). Development and Application of a Structural Health Monitoring System Based on Wireless Smart Aggregates, Sensors, 17(7), p. 1641.

10.3390/s1707164128714927PMC5539710

Yeon, J., Kim, C., Cho, J. (2023). Electronic Apparatus and Controlling Method Thereof for Spall Damage and Maintenance History Management of Concrete Pavement Using 3D Modeling, Application No. 10-2023-0125595, Korean Intellectual Property Office.

Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 14
No :4
Pages :35-44
Received Date : 2024-10-16; 2024-10-30
Accepted Date : 2024-10-30
DOI :https://doi.org/10.13161/kibim.2024.14.4.035

Journal of KIBIM ISSN:2288-1697(Print) 2288-1697(Online) 한국BIM학회논문집

All Issue