Construction of Building BIM Forward Design System Based on BP Neural Network Algorithm

With the growth of sci & tech, computer technology and construction industry have been organically combined. As a new construction technology, Building Information Model (BIM) plays a key role in the whole construction process. According to the characteristics of digital architectural design and the core function of BIM technology, this article explores the characteristics and development direction of BIM technology in the forward design of architectural design stage, and discusses the related problems of BIM forward design system of architecture. On this basis, a building BIM forward design system is constructed based on the back propagation neural network (BPNN) algorithm. The simulation results show that this method can achieve an error of about 0.501, which is lower than the method in the literature of about 0.13. Moreover, the response speed of this model is faster, its efficiency is higher and its stability is better. The forward design system of building BIM based on BPNN algorithm has certain superior performance, which can quickly and accurately realize the automatic conversion from CAD drawings to BIM models, and can provide some reference for related research.