드라이브 ㆍ 컨트롤 (Journal of Drive and Control)

  • 제19권3호
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  • Pages.16-22
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  • 2022
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  • 2671-7972(pISSN)
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  • 2671-7980(eISSN)
유공압건설기계학회 (The Korean Society for Fluid Power and Construction Equipment)
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골재 크기와 분포 특성을 분석하기 위한 골재 인식 알고리즘 개발

Development of Aggregate Recognition Algorithm for Analysis of Aggregate Size and Distribution Attributes

  • Seo, Myoung Kook (Smart Engineering Lab. Korea Constructions Equipment Technology Institute) ;
  • Lee, Ho Yeon (Smart Engineering Lab. Korea Constructions Equipment Technology Institute)
  • 투고 : 2022.07.20
  • 심사 : 2022.08.23
  • 발행 : 2022.09.01
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초록

Crushers are equipment that crush natural stones, to produce aggregates used at construction sites. As the crusher proceeds, the inner liner becomes worn, causing the size of the aggregate produced to gradually increase. The vision sensor-based aggregate analysis system analyzes the size and distribution of aggregates in production, in real time through image analysis. This study developed an algorithm that can segmentate aggregates in images in real time. using image preprocessing technology combining various filters and morphology techniques, and aggregate region characteristics such as convex hull and concave hull. We applied the developed algorithm to fine aggregate, intermediate aggregate, and thick aggregate images to verify their performance.

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과제정보

이 논문은 2022년도 정부(산업통상자원부)의 재원으로 한국산업기술평가관리원의 지원을 받아 수행된 연구임(과제번호:20014563)

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