DOI QR코드

DOI QR Code

강교량 재도장 로봇의 모니터링 모듈 시제품 개발

Development of a Prototype Monitoring Module for Steel Bridge Repainting Robots

  • 투고 : 2020.10.29
  • 심사 : 2020.11.09
  • 발행 : 2020.12.01

초록

With the need for efficient maintenance technology to reduce maintenance costs for steel bridges, repainting robots are being developed to automate the work in narrow and poor bridge spaces. The repainting robot is equipped with a blasting module to remove paint layers and contaminants. This study developed a prototype monitoring module to be mounted on the repainting robot. The monitoring module analyzes the condition of the painting surface through a camera installed in the front, guides the direction of movement of the robot, and provides the operator with a video to check the working status after blasting through a camera installed in the back. Various image visibility enhancement technologies were applied to the monitoring module to overcome worksite challenges where incomplete lighting and dust occurs.

키워드

참고문헌

  1. D. H. Kim, H. Y. Jung and J. Y. Kim, "An Evaluation of Life for Corrosion and Damage of Steel Bridges," Journal of the Institute of Industrial Technology, Vol.14, pp.103-109, 2006.
  2. S. Y. Cho, "A Modified Residual-based Extended Kalman Filter to Improve the Performance of WiFi RSSI-based Indoor Positioning," Journal of Institute of Control, Robotics and Systems, Vol.21, No.7, pp.684-690, 2015. https://doi.org/10.5302/J.ICROS.2015.14.0093
  3. H. B. Kang et al., "Indoor Location and Movement Distance Measuring System using Beacon and Acceleration Sensor," The Korean Institute of Information Scientists and Engineers, pp.1334-1336, 2014.
  4. I. Oksar, "A Bluetooth signal strength based indoor localization method," Systems, Signals and Image Processing(IWSSIP), pp.251-254, 2014.
  5. Y. K. Hong et al., "Vision Tracking System for Mobile Robot Localization in Indoor Environment," The Korean Institute of Electrical Engineer, pp.1317-1318, 2012.
  6. H. B. Kim, H. H. Jung and J. Yoo, "Indoor Navigation of a Mobile Robot Using Ceiling Images and Ultrasonic Sensors," Institute of Control, Robotics and Systems, pp.116-118, 2013.
  7. J. H. Bang, S. M. Park and K. Y. Yi, "Direction detection and autonomous mobile robot using LED lighting-based indoor location recognition system," The Korean Institute of Electrical Engineers, pp.1298-1299, 2015.
  8. S. W. Lee, W. H. Choi and I. K. Song, "A Study on the Driving Algorithm for Line-Tracer Robot," Proceedings of the KIEE Conference, pp.2504-2506, 2003.
  9. B. S. Kim and B. S. Kang, "Method for Improving the Visibility of Color Images Using JND According to the Surrounding Brightness and Skewness," The Institute of Electronics and Information Engineers, pp.582-584, 2015.
  10. K. He, J. Sun and X. Tang, "Single image haze removal using dark channel prior," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, pp.2341-2353, 2011. https://doi.org/10.1109/TPAMI.2010.168
  11. I. H. Yoon, D. G. Kim and J. K. Pack, "Enhancement of Atmospherically Degraded Images Using Color Analysis," The Institute of Electronics Engineers of Korea Signal Processing, Vol.49, No.1, pp.67-72, 2012.
  12. R. T. Tan, "Visibility in bad weather from a single image," IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
  13. S. K. Bhatia, "Advances in computer communication and computational sciences," Proceedings of IC4S, Springer, pp.301-302, 2017.
  14. J. B. Jeong and K. S. Kim, "A Study on Driving Algorithm and Communication Characteristics for Remote Control of Mini Excavator", Journal of Drive and Control, Vol.15, No.4, pp.81-90, 2018. https://doi.org/10.7839/KSFC.2018.15.4.081
  15. T. J. Song, H. W. Lee, and K. S. Oh, "A Model Predictive Tracking Control Algorithm of Autonomous Truck Based on Object State Estimation Using Extended Kalman Filter", Journal of Drive and Control, Vol.16, No.2, pp.22-29, 2019. https://doi.org/10.7839/KSFC.2019.16.2.022