Construction consumption measurement method based on convolutional cloud image recognition technique

This study aims to explore the construction consumption determination method based on convolutional cloud neural network image recognition technology. By analyzing the application of convolutional cloud neural network in the field of image recognition and combining the actual situation and data collection at the construction site, a construction consumption determination method based on convolutional cloud neural network is proposed. By processing and analyzing the image data of the construction site, combined with the deep learning algorithm, accurate determination of the consumption of various materials and resources in the construction process is realized. The results show that the construction consumption measurement method based on convolutional cloud neural network image recognition technology has high accuracy and practicability, and can provide effective support for construction management and cost control.