Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Automation for Progress Monitoring based by Vision Technology in a Modular Building Factory

영상분석 기술 기반 모듈러 건축 공장제작 공정 모니터링 자동화

  • Received : 2021.01.05
  • Accepted : 2021.03.16
  • Published : 2021.06.30
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Abstract

The entire process from manufacturing in a factory to on-site assembly is running sequentially in modular building construction. Therefore, an unexpected delay in factory manufacturing would impede the overall construction schedule. Hence, the implementation of appropriate progress monitoring is essential in modular building construction. In this study, a method of vision-based progress monitoring for a modular building factory has been developed. Instead of actual images of modular unit manufacturing, videos created from 3D modeling were used to train a deep learning model. Then, videos recorded during modular manufacturing in a factory were used to test the system. Although the deep learning model was trained with the virtual model, the test results demonstrated that all six processes were successfully detected. Out of 225 image frames on average, the number of unrecognized frames was 28-53, resulting in an average recognition rate of 83.1%. The recognition accuracy of the developed progress monitoring system ranges from 62.5 to 100%, and the average value was 84.4%.

Keywords

Acknowledgement

이 연구는 국토교통부 주거환경연구사업 중 "모듈러 건축 중고층화 및 생산성 향상 기술개발"과제의 지원으로 수행되었음.(과제번호: 21RERP-B082884-08)

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