Shield tunneling machine tunneling parameter prediction method based on polynomial regression

A polynomial regression, tunneling parameter technology, applied in complex mathematical operations, electrical digital data processing, special data processing applications, etc., can solve problems such as real-time adjustment of geological sections, and a lot of manual experience, achieve flexible processing and improve operation. The effect of efficiency

Pending Publication Date: 2019-07-30
CHINA RAILWEY ENG SERVICE CO LTD +1
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Problems solved by technology

For a long time, the tunneling process of the shield machine has been calibrated and analyzed by manual experts on various parameters in the tunneling process of the shield machine. Although this mode is stable and reliable, it takes a lot...

Method used

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  • Shield tunneling machine tunneling parameter prediction method based on polynomial regression
  • Shield tunneling machine tunneling parameter prediction method based on polynomial regression
  • Shield tunneling machine tunneling parameter prediction method based on polynomial regression

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Embodiment Construction

[0026] In the following, the technical solution of the present invention will be described in detail by taking the predicting index as the driving speed as an example and in conjunction with the accompanying drawings.

[0027] In order to intuitively reflect the practicability of the scheme of the present invention, in the following scheme, the data is divided into training set and test set at the same time, and the practicability of the scheme of the present invention is proved by testing the test set;

[0028] The prediction method of shield machine tunneling parameters based on polynomial regression is as follows:

[0029] (1) Collect sample data, combine actual construction experience and historical data records, and collect a section of mining historical data of a specific type of shield machine in a certain city. Perform data analysis and data processing on the sample data. Data analysis phase, such as figure 1 , carried out data dimension reduction, correlation analys...

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Abstract

The invention discloses a shield tunneling machine tunneling parameter prediction method based on polynomial regression. According to the invention, the big data processing method based on machine learning is applied to shield engineering data processing for the first time; characteristic learning is carried out on shield engineering big data through a machine learning method after cleaning and statistical processing. By means of the data high-level feature extraction capability of a machine learning algorithm, operation parameters and operation efficiency are efficiently modeled, so that instructive suggestions are made for parameter adjustment of a shield in engineering, and the characteristics of artificial intelligence are achieved.

Description

technical field [0001] The invention relates to a method for predicting tunneling parameters of a shield machine based on polynomial regression. Background technique [0002] In recent years, with the rapid development of urban economy, urban construction has gradually expanded to space, and subways have become the focus of urban development. The shield machine is widely used in subway tunnel construction projects due to its advantages of fully enclosed, fast tunneling, and simultaneous lining. In a uniform and single stratum, the construction technology of the shield tunneling method is relatively simple due to its single excavation method and stable excavation parameters; but in the complex stratum, due to the changeable stratum structure, it is necessary to constantly adjust the shield machine The tunneling parameters make it maintain a stable and efficient tunneling speed. How to achieve this goal and increase the speed of advancement while ensuring quality is the core...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06F17/18
CPCG06F17/18G06F30/20
Inventor 苏叶茂段文军路桂珍章龙管屈鸿刘绥美冯赟杰周生喜白江涛李恒龚晓林廖珂谭友荣
Owner CHINA RAILWEY ENG SERVICE CO LTD
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