Research on Information Sharing Mechanism of Building Information Model Based on Convolutional Neural Network: Fid-Bau Portal

Research on Information Sharing Mechanism of Building Information Model Based on Convolutional Neural Network

Tian, Xiaorong

Building is one of the most important basic geographical elements of a city, and accurate building information is of great significance to urban dynamic monitoring, urban density estimation and urban environmental evaluation. Building Information Model (BIM) can effectively link all aspects of the project and finally form a complete data system. Designers can understand the problems existing in the project by comparing the data information in different stages, and improve them in time, which improves the actual construction efficiency of the project. In this paper, Convolutional Neural Network (CNN) is used to extract the building features, further enhance the building features in the data layer, and improve the separability of categories, so as to study the value and mechanism of building supply chain information sharing based on BIM technology. The results show that this algorithm is more accurate in feature recognition of building information, which is 26.25% higher than the traditional algorithm. In the specific application, it is also necessary to concentrate the scattered information according to certain needs, so as to understand the overall situation and the relationship between the parts.