3D Geological Modeling of Assembled Building Engineering Based on BP Neural Network

Dimensional geological modeling refers to a new technology that uses computer information technology to combine spatial information, geological data, geographic interpretation images, scientific computing visualization and other tools in a three-dimensional space environment, and applies them to geographic analysis. In order to solve the shortcomings of the existing research on 3D geological modeling of prefabricated buildings, based on the discussion of BP neural network and classification of prefabricated buildings, the basic process of 3D geological modeling and the characteristics of 3D geological information, this paper briefly discusses the GOCAD modeling software and 3D geological model including non geometric attributes. The 3D geological modeling system of prefabricated building engineering is designed, and the 3D geological modeling of prefabricated building engineering geological reservoir based on BP neural network is proposed. The specific numerical simulation of geological reservoir information parameters is carried out through BP neural network. The experimental results show that the root mean square error and the average absolute error of the algorithm are only 0.004 and 0.01 at the lowest. Therefore, the feasibility of 3D geological modeling of prefabricated building engineering based on BP neural network is verified.