Slurry shield slurry cabin pressure prediction method based on multiple influence factors

Abstract

The invention discloses a method for predicting the pressure of a slurry cabin of a slurry shield based on multiple influence factors. The method comprises the following steps: step 1, acquiring data acquired by a PLC system of the slurry shield; step 2, carrying out muddy water bin pressure influence factor analysis, and obtaining influence factors; step 3, performing cleaning, feature extraction and sample division on the data according to the influence factors to obtain training set data and test set data; step 4, based on the training set data, optimizing a neural network topological structure by adopting a genetic algorithm in combination with K-fold cross validation, obtaining optimal network topological structure information and constructing an optimal model; step 5, training the optimal model based on the training set data to obtain a fitting model, evaluating the fitting model based on the test set data, and if the fitting model does not reach the standard, repeating the step 4 to the step 5 until the model prediction effect reaches the standard; and step 6, predicting the pressure of the muddy water bin at the next moment by using the standard model, analyzing whether a predicted value is in a proper range or not, and giving feedback information.

Description

technical field [0001] The invention relates to the application of computer artificial intelligence neural network technology in the field of civil engineering, in particular to a method for predicting the pressure of muddy water shield muddy water bins based on multiple influencing factors. Background technique [0002] In mud-water shield excavation, adjusting the actual mud-water support pressure on the excavation surface online through the mud-water pressure balance control system to make it equal to the expected value of water and soil pressure is an important foundation and guarantee for the smooth excavation of shield tunneling. The actual mud-water support pressure on the excavation face of indirect mud-water shield tunneling is affected by gas pressure, mud-water level and other excavation parameters at the same time. Effectively establishing the balance between the expected water-soil pressure and the actual mud-water support pressure is the key to maintaining the e...

AI Technical Summary

Problems solved by technology

However, due to the long-distance mud-water circulation, the adjustment of the mud-water support pressure in the mud-water tank of the mud-water shield machine often has an obvious time-lag phenomenon, so the above control model for earth pressure balance is not suitable for mud-water pressure w

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