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Tunnel surrounding rock two-dimensional quality evaluation method based on advanced drilling data

A quality evaluation and data technology, applied in the direction of electrical digital data processing, instruments, character and pattern recognition, etc., can solve the problems of single label and inability to interpret the real situation of the "tunnel" paragraph, so as to reduce difficulty, avoid adverse effects, The effect of improving classification accuracy

Pending Publication Date: 2021-12-10
GUANGXI ROAD & BRIDGE ENG GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies in the prior art that a single "surface" cannot interpret the real situation of the tunnel "section", the label is single, and the model hyperparameters depend on artificial settings, and proposes a tunnel based on advanced drilling data Two-dimensional Quality Evaluation Method of Surrounding Rock

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  • Tunnel surrounding rock two-dimensional quality evaluation method based on advanced drilling data
  • Tunnel surrounding rock two-dimensional quality evaluation method based on advanced drilling data
  • Tunnel surrounding rock two-dimensional quality evaluation method based on advanced drilling data

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Embodiment 1

[0060] This embodiment provides a method for evaluating the two-dimensional quality of tunnel surrounding rock based on advanced drilling data, such as figure 1 shown, including the following steps:

[0061] Step 1: Randomly sample the tunnel to be excavated by advanced drilling technology to obtain drilling data of the tunnel to be excavated; the drilling data includes depth, and four quantitative indicators of propulsion speed, propulsion force, torque and rotation speed.

[0062] Step 2, preprocessing the four quantitative indicators in the drilling data to realize selection and secondary calculation of the drilling data;

[0063] In step two, the preprocessing includes the following steps:

[0064] a: Denoise the input data; methods for denoising include:

[0065] Delete the ascending section data, the ascending section data is the data collected when the drilling rig of advanced drilling has not reached a steady state;

[0066] Find the missing value in the input data...

Embodiment 2

[0171] This embodiment is an example of using Embodiment 1 to establish a model for actual prediction. In order to verify the practical engineering availability of the CC-GA-XGBoost tunnel surrounding rock two-dimensional quality evaluation model, the surrounding rock two-dimensional quality evaluation was carried out after the advanced drilling operation of the YK109+960-YK109+985 mileage section of the Fenghuangshan Tunnel. Among them, the original sampling data of YK109+960~YK109+985 first-level indicators are as follows: Figure 11 shown.

[0172] The original sampling data of this part of the first-level indicators is proposed. After data preprocessing according to the process of 2.1-2.3, it is imported into the CC-GA-XGBoost model for two-dimensional label classification prediction. The classification prediction results are shown in Table 8 below.

[0173] Table 8 Prediction of YK109+960~YK109+985 model

[0174]

[0175] According to Table 8, from the two dimension...

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Abstract

The invention relates to the technical field of tunnel engineering, and especially relates to a tunnel surrounding rock two-dimensional quality evaluation method based on advanced drilling data. The method comprises the following steps: 1, randomly sampling a tunnel to be excavated through an advanced drilling technology, acquiring drilling data of the tunnel to be excavated, and preprocessing the drilling data, wherein the drilling data comprises four indexes including propelling speed, propelling force, torque and rotating speed; and 2, inputting the preprocessed drilling data into a pre-established CC-GA-XGBoost model for two-dimensional quality evaluation, and outputting two-dimensional quality evaluation results, wherein the evaluation results comprise two dimensions of the surrounding rock integrity degree and the surrounding rock grade, the evaluation results of the surrounding rock integrity degree comprise relatively complete, relatively broken, broken and muddy filling cavities, and the evaluation results of the surrounding rock integrity degree comprise relatively complete, relatively broken, broken and muddy filling cavities, and the surrounding rock grade evaluation results comprise grade III, grade IV and grade V; and the CC-GA-XGBoost model is a model which adopts a GA algorithm to train an XGBoost model and then calls a CC algorithm to carry out multi-label classification. Model hyper-parameter automatic optimization and multi-label output are realized, the modeling difficulty is reduced, and the prediction accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of tunnel engineering, in particular to a two-dimensional quality evaluation method for tunnel surrounding rock based on advanced drilling data. Background technique [0002] According to statistics, as of the end of 2020, there are a total of 1,175 characteristic tunnels across the country, with a total of 5.1275 million meters. With the huge construction scale and high-speed construction speed, the overall tunnel construction in my country has changed to the direction of large buried depth and long tunnel lines. Site selection The characteristics of distance, high stress, strong karst, high water pressure, and complex structure are also gradually becoming prominent. In order to ensure the safety of tunnel construction and ensure the rationality and accuracy of tunnel geological prediction in advance, it is facing more and more severe challenges. As far as the advanced geological prediction of tunnels is con...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06K9/62G06F119/02
CPCG06F30/27G06F2119/02G06F18/214Y02P90/30
Inventor 梁铭彭浩宋冠先朱孟龙马文安解威威马必聪杨康张亚飞胡以婵赵婷婷
Owner GUANGXI ROAD & BRIDGE ENG GRP CO LTD
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