CBR-RBR fusion based parametric rapid construction method of bridge BIM model

Abstract

The development of BIM (Building Information Modeling) parametric modeling technology has improved the reusability and modeling efficiency of building information models. Aiming at the problems of too many parameters and long time in the rapid parametric construction of the bridge BIM model, we propose a novel parametric rapid construction method of bridge BIM model based on the integration of CBR (Case Based Reasoning) and RBR (Rule Based Reasoning), which is used to realize the rapid construction of bridge BIM model. Firstly, the modeling characteristics of CBR and RBR are analyzed, and a parametric modeling framework of CBR-RBR fusion is proposed. Secondly, a MHPO (Modified Hunter-Prey Optimization) algorithm is proposed to assign the weight of feature parameters to improve the accuracy of the prediction model. Then, modeling parameter reasoning rules are designed to realize the construction of parameter reasoning model. Finally, the prototype system is developed to verify the proposed method based on Revit and C#. Compared with manual modeling and traditional parametric modeling, the fusion method of CBR and RBR greatly shortens the modeling time and improves modeling efficiency and flexibility.