Key Technology of Intelligent Detection for Precast Composite Panels Based on Machine Vision
Prefabricated buildings adopt industrial production and prefabricated construction,which have the characteristics of high construction efficiency,energy conservation and environmental protection,and receive strong support from the country.As precast components with very high precast and assembly rates,the quality of precast composite panels is related to the entire project.There are some problems in the production process of precast composite panels,such as the use of manual inspection for concealed acceptance work before concrete pouring,which results in a large amount of manual input,low quality detection level and efficiency,and easy omission and misinspection,seriously restricting the production efficiency of concrete composite panels.The precast composite panels are taken as the research object,the research on image distortion correction algorithm and data enhancement algorithm is conducted,improving YOLOv7 precast composite panel precise recognition algorithm and steel bar layout and spacing recognition method are researched,and a machine vision based intelligent detection and control system for precast composite panels is developed.The system can intelligently evaluate the size error,embedded part position and quantity of composite panels,thereby reducing the investment of quality inspectors,improving production efficiency and product qualification rate.