This invention discloses a BIM
building model construction method for
architectural engineering design, specifically relating to the field of electronic
digital data processing technology. First, based on spatial boundary vertices, a mapping table is established between memory page identifiers and physical addresses for each node. Based on this mapping table, a dynamic preloading
instruction set is generated using a viewpoint prediction
algorithm. Based on the mapping table and the dynamic preloading
instruction set, a dynamic attribute
graph model is generated, followed by another dynamic attribute
graph model. Based on the dynamic attribute
graph model, a final optimized attribute graph model is obtained, and finally, a BIM
building model is constructed. This invention utilizes graph neural network
semantic mapping to achieve unified attribute graph representation of heterogeneous data from multiple disciplines, improving the accuracy of
semantic mapping. Simultaneously, it uses graph convolutional networks to achieve real-time detection of design conflicts, combined with a bidirectional feedback mechanism to achieve real-time conflict correction, solving the problem of lagging offline detection in existing methods.