이미지 프로세싱 기반 철근콘크리트 구조물의 균열진단 로봇 개발에 관한 연구

A Study on the Development of Crack Diagnosis Robot for Reinforced Concrete Structures Based on Image Processing

  • 김한솔 (한양대학교 건축시스템공학과) ;
  • 장종민 (세화산엄(주) 기업부설연구소) ;
  • 김영관 (세화산엄(주) 기업부설연구소) ;
  • 이한승 (한양대학교 ERICA 건축학부)
  • 발행 : 2022.04.20

초록

Cracks may occur in reinforced concrete (RC) structures due to various physical and chemical factors, and the growth of cracks causes deterioration of the structure's performance. It is important to prevent the expansion of cracks through periodic diagnosis of cracks in structures. In order to enable free crack exploration even in a narrow space, a construction robot using a Mecanum wheel that can move up, down, left and right and rotate in place was designed. High-quality crack images were periodically collected through the camera, and the image fragments stored during the exploration were combined into a single photo after the exploration was completed. The robot detected cracks with a width of 0.2 mm or more on the concrete probe surface with an accuracy of about 90% or more.

키워드

과제정보

이 성과는 2018년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. NRF-2018R1A5A1025137).