Shield tunneling machine cutterhead torque prediction method and system based on parallel neural network

A neural network and cutter head torque technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of low prediction accuracy of shield machine operating parameters and weak model generalization ability, etc., to ensure high efficiency The effect of safe promotion, improvement of intelligence level, and strong generalization ability

Active Publication Date: 2021-02-05
SHANGHAI JIAO TONG UNIV +1
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Problems solved by technology

These methods use the operating parameter data of the shield machine to train the model, and use the trained model to predict the operating parameters of the shield machine. However, these methods have low prediction accuracy for the operating parameters of the shield machine and the model The problem of poor generalization ability

Method used

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  • Shield tunneling machine cutterhead torque prediction method and system based on parallel neural network
  • Shield tunneling machine cutterhead torque prediction method and system based on parallel neural network
  • Shield tunneling machine cutterhead torque prediction method and system based on parallel neural network

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Embodiment

[0096] refer to Figure 1 to Figure 10 , a method for real-time prediction of cutter head torque based on parallel neural network, including the following steps:

[0097] Step 1: Selection of key operating parameters of the shield machine, figure 1It is part of the data of the operating parameter database of a certain shield machine site construction. The database includes 1465-dimensional shield machine operating parameter physical quantity data. It is necessary to select the physical quantity that has a greater impact on the cutter head torque as the input of the cutter head torque prediction model. , figure 2 is the cosine similarity between the physical quantity in the operating parameter database of the shield machine and the cutterhead torque, and the physical quantity whose cosine similarity with the cutterhead torque is greater than 0.85 and has a greater impact on the cutterhead torque is selected as the input of the prediction model, including The disc thrust, the...

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Abstract

The invention provides a shield tunneling machine cutterhead torque prediction method and system based on a parallel neural network. The method comprises the following steps: selecting working parameters having great influence on shield tunneling machine cutterhead torque from a shield tunneling machine actual working database; preprocessing the selected working parameters; establishing a parallelneural network cutterhead torque prediction model according to the preprocessed working parameters, and training the parallel neural network cutterhead torque prediction model; and evaluating the prediction precision of the trained parallel neural network cutterhead torque prediction model on the cutterhead torque on different data sets. High-precision real-time prediction of the cutterhead torque is achieved, a driver can be guided to adjust operation parameters of the shield tunneling machine in advance, efficient and safe propelling of the shield tunneling machine is guaranteed, and therefore the intelligent level of the shield tunneling machine is improved.

Description

technical field [0001] The invention relates to the technical field of industrial control, in particular to a method and system for real-time prediction of cutterhead torque of a shield machine based on a parallel neural network. Background technique [0002] The shield machine is the abbreviation of the tunnel boring machine. It is widely used in the tunnel construction of the railway. It is necessary to adjust the tunneling parameters of the shield machine. Since the shield machine often works in a complex geological environment, it is very difficult to accurately predict the geological conditions of the shield machine. Therefore, it is possible to predict the working process of the shield machine The changes in the tunneling parameters of the shield machine can be adjusted in a timely manner. The cutter head system is one of the important parts of the shield machine. The cutter head torque is an important operating parameter of the shield machine. The value of the cutter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/27G06N3/04G06N3/08E21D9/08G06F111/10
CPCG06F30/27G06F30/17E21D9/08G06N3/049G06N3/084G06F2111/10G06N3/045
Inventor 刘成良石岗余宏淦陶建峰覃程锦雷军波孙浩毛帅
Owner SHANGHAI JIAO TONG UNIV
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