Real-time prediction method and system for shield tunneling machine cutterhead torque

Abstract

The invention provides a real-time prediction method and system for a shield tunneling machine cutterhead torque, and the method comprises the steps: selecting shield tunneling machine operation parameters with the impact on the cutterhead torque meeting a preset requirement in an actual working process of a shield tunneling machine, and carrying out the preprocessing; constructing a residual CNN-LSTM neural network cutterhead torque prediction model based on the CNN neural network, the residual network and the LSTM neural network by utilizing a keras packet under a Tensorflow framework; training the residual CNN-LSTM neural network cutterhead torque prediction model; selecting shield tunneling machine operation parameter data at a preset moment, and predicting a cutterhead torque value ata next moment by utilizing the trained residual CNN-LSTM neural network cutterhead torque prediction model; and respectively calculating a mean square error, an average absolute error and an averageabsolute percentage error, and testing the prediction precision of the torque of the cutterhead. According to the method, high-precision prediction of the cutterhead torque of the shield tunneling machine is achieved, and the automation and intelligence level of the shield tunneling machine can be improved.

Description

technical field [0001] The present invention relates to the field of tunneling parameter prediction and control parameter optimization in the construction process of a shield machine, in particular to a method and system for real-time prediction of cutterhead torque of a shield machine, and more specifically to a method and system based on residual CNN-LSTM Real-time prediction method of shield machine cutterhead torque based on neural network. Background technique [0002] The full name of the shield machine is the tunnel boring machine, which is widely used in the tunnel construction of high-speed railways and subways. Compared with the traditional blasting method, the tunnel excavation using the shield machine is more efficient, safe and environmentally friendly. In the future, more railways will be built in our country, and shield machines will be more widely used by then. During the construction process of the shield machine, the cutter head system is extremely easy to...

AI Technical Summary

Problems solved by technology

During the construction process of the shield machine, the cutterhead system is extremely easy to be stuck and damaged, which will affect the construction period and may even cause safety accidents, causing major economic losses and endangering personal safety

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