Title A Framework of Automating Inspection Task Generation for Construction Projects
Authors Jo, Seuckyeon ; Lee, Jin Gang ; Choi, Jaehyun
DOI https://dx.doi.org/10.6106/KJCEM.2023.24.1.040
Page pp.40-50
ISSN 2005-6095
Keywords Quality Control; Construction Inspection; Inspection Task Generation; Inspection Database
Abstract Quality control (QC) is an essential work for the successful construction project execution. Recently, robust application of ICT to the QC tasks leads to utilizing innovative technologies and equipment. However, overall planing of QC works needs to take place before applying new technologies to each and individual QC task. The objectives of this research involve developing a database and an algorithm that identifies QC tasks and related information upfront. In addition, the researchers developed a methodology to generate inspection tasks in conjunction with construction work tasks. The Korean Ministry of Land and Transportation provides standard supervision checklists. They were classified based on criteria of inspection items, methods, period and the scope. Reinforced concrete work was selected as a case study for validation of the method. This framework can function when planing construction tasks with any type of planning tools and innovative technologies. The researchers expect this framework may contribute to various construction projects when developing QC plans and tasks with applicable technologies.