Research on Engineering Cost Management of Construction Project Based on BIM Technology and BP Neural Network

Abstract

To further reduce the engineering cost of construction project, an engineering cost management prediction model of construction project based on BIM technology and BP neural network is proposed. Among them, the construction project index is taken as the input, and the BIM technology is used to calculate the project quantity. Then the bill of quantity is taken as the input of BP neural network, so as to predict the cost of the engineering cost. The results show that after the BP neural network is trained in MATLB software. Moreover, the fitting effect of the prediction model is significantly improved. The actual prediction shows that the predicted value of meter cost using this model is very close to the actual value of meter cost, and the maximum error between them is only 266. It shows that using the proposed model can improve the accuracy of engineering cost prediction of construction project, so as to further reduce the cost of the construction project.