Shield Gap Estimation Method of Shield Machine Based on Convolutional Neural Network

Abstract

The invention discloses a method for estimating the shield gap of a shield machine based on a convolutional neural network. The partial image of the segment with laser calibration points is transmitted to the computer, and the image super-resolution reconstruction method based on the convolutional neural network is used to perform super-resolution reconstruction on the collected image to obtain a high-resolution image. The image processing algorithm analyzes, processes and calculates the collected images to obtain the size of the shield-tail gap, thereby realizing non-contact automatic measurement. The invention realizes the automatic measurement of the shield tail gap, reduces the requirement of illumination in the shield environment, enables the automatic measurement of the shield gap of the shield to be used in the whole cycle of the shield, and helps to realize the precision and accuracy of the shield construction. automation.

Description

technical field [0001] The invention belongs to the field of state measurement of construction machinery, and relates to a method for estimating the shield gap of a shield machine based on a convolutional neural network. Background technique [0002] As my country's tunnel and underground railway industry enters an era of rapid development, China has become the world's largest market for tunnel and underground engineering construction. my country's urban rail transit construction is facing unprecedented rapid development. Big cities are still growing at a huge rate every year. The speed of investment continues to develop the construction of underground tunnels. During shield construction, since the curvature change of the tunneling route of the shield machine and the elongation length of the propulsion cylinder cannot be kept consistent at all times, the space between the inner wall of the shield tail of the shield machine and the outer diameter of the segment will change. T...

AI Technical Summary

Problems solved by technology

However, due to the poor light conditions during the construction of the shield, the quality of the image captured by the camera is poor, and the resolution is relatively low. If it is directly used to measure the shield gap of the shield machine, its measurement accuracy and application range will be limited.

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