Cost Control Algorithm of Prefabricated Building Based on BIM and Neural Network

Abstract

In the process of construction, various expenses fluctuate greatly affected by the external environment, and the cost control cannot be completed at one time. It needs to be dynamically adjusted with the actual construction progress and the external environment. The cost control of prefabricated construction is an important part of the construction cost. Because China's prefabricated buildings have not been popularized on a large scale and the relevant integrated design level is relatively backward, the cost of China's prefabricated buildings is relatively high compared with that of traditional buildings. Building cost modeling and control method based on Neural Network – neural network models and controls the building cost by simulating the thinking mode of human brain neurons. BIM technology is a technology integrating architectural design, construction management and project collaborative management, which can improve the efficiency of building management and reduce the construction cost. Based on BIM platform, this paper establishes a database of key factors influencing the cost of similar projects, uses the data in the database to train neural network, and collects real-time cost data of projects under construction based on BIM platform, carries out cost analysis, and completes this control and cost assessment.