Automated BIM generation using drawing recognition and line-text extraction

Abstract

ABSTRACT The number of building-information modeling (BIM)-applied construction projects has been increased with an expectation that it will transform the labor-intensive building industry into a knowledge-based one. The time and effort required for modeling vary depending on the type of work, and therefore most BIM applications focus on certain work trade of high effectiveness. In this study, we propose a quasi-automated BIM methodology that can shorten the requisite time for modeling regardless of the type of work. The method automatically generates an object-oriented BIM model based on drawing recognition and line-text extraction. To evaluate the proposed procedure, two experiments were conducted. The results show that the method attains a high accuracy in correctly defining a structural building type, and confirm completed object modeling. The proposed modeling process is expected to significantly reduce the required efforts for BIM data generation in practice, and further provide a method of knowledge utilization in the construction industry.