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Open type TBM tunneling cycle division method, surrounding rock grade prediction method and lithology prediction method

An open-type, tunneling speed technology, applied in prediction, neural learning methods, earthwork drilling and mining, etc., can solve the problems of surrounding rock grade and poor prediction accuracy of lithology, and achieve the effect of accurate division and accurate prediction results

Active Publication Date: 2021-06-25
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the prediction accuracy of surrounding rock grade and lithology based on the divided data of each stage during the excavation process is poor.

Method used

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  • Open type TBM tunneling cycle division method, surrounding rock grade prediction method and lithology prediction method
  • Open type TBM tunneling cycle division method, surrounding rock grade prediction method and lithology prediction method
  • Open type TBM tunneling cycle division method, surrounding rock grade prediction method and lithology prediction method

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Experimental program
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Effect test

Embodiment 1

[0124] First, see figure 1 , an embodiment of the present invention provides a method for dividing an open TBM excavation cycle, including:

[0125] A1. For each TBM excavation cycle, acquire parameter data of the TBM excavation cycle after the TBM excavation cycle.

[0126] The TBM excavation cycle parameter data includes: cutterhead torque data, excavation speed data, and cutterhead rotational speed data in the TBM excavation cycle.

[0127] A2. Based on the parameter data of the TBM excavation cycle, the TBM excavation cycle is divided and processed, and the TBM is determined to be successively adjacent in the excavation cycle. figure 2 shown.

[0128] Said A2 includes:

[0129] A2-1. Based on the cutter head rotation speed data in the TBM excavation cycle, determine the starting point of the hollow push section and the end point of the shutdown section of the TBM excavation cycle.

[0130] Wherein, the starting point of the hollow thrust section of the TBM excavation ...

Embodiment 2

[0162] see Figure 4 On the other hand, the embodiment of the present invention also provides a method for predicting the grade of surrounding rock, the method comprising:

[0163] S1. Obtain second data in each excavation cycle to be predicted.

[0164] The second data includes: the mean value of the final input characteristic data corresponding to the first time period in each excavation cycle determined by using the above-mentioned division method of the open TBM excavation cycle.

[0165] Wherein, the first period of time in the excavation cycle includes: an ascending segment and a stable segment in the excavation cycle.

[0166] The final input features are: cutterhead speed, steel arch pump pressure, shoe pump pressure, shoe pressure, main engine belt conveyor pump pressure, right shoe rolling angle, top shield pressure, unit penetration torque, Average tunneling speed, roll angle of left leg shoe, pitch angle of front shield and propulsion speed in each cycle;

[016...

Embodiment 3

[0186] see Image 6 , the present embodiment also provides a lithology prediction method, the method comprising:

[0187] Q1. Obtain the third data in each excavation cycle of the plurality of excavation cycles to be predicted.

[0188] The third data includes: the optimal characteristic data corresponding to the first 15 seconds of the ascending segment in each excavation cycle determined by adopting the above-mentioned division method of the open TBM excavation cycle.

[0189] Among them, the optimal features include: gear seal outer seal pressure, gear seal inner seal pressure, shoe pump pressure, right shoe rolling angle, left shoe rolling angle, host belt conveyor speed, top shield pressure, front shield Pitch angle, cutterhead speed.

[0190] Q2. Input the third data into the trained global attention mechanism-based LSTM network multi-layer network structure model to obtain prediction results.

[0191] Wherein, the LSTM network multi-layer network structure model base...

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Abstract

The invention relates to an open type TBM tunneling cycle division method, a surrounding rock grade prediction method and a lithology prediction method. The open type TBM tunneling cycle division method comprises the steps that for each TBM tunneling cycle, parameter data of the TBM tunneling cycle are obtained after the TBM tunneling cycle, wherein TBM tunneling cycle parameter data comprises cutterhead torque data, tunneling speed data and cutterhead rotating speed data in the TBM tunneling cycle; and on the basis of the parameter data of the TBM tunneling cycle, the TBM tunneling cycle is divided, and an empty pushing section, an ascending section, a stable section and a shutdown section, sequentially adjacent to each other, of the TBM in the tunneling cycle are determined. The invention also relates to a surrounding rock grade prediction method. The surrounding rock grade prediction method comprises the following steps: acquiring second data in each tunneling cycle to be predicted; and inputting the second data into the trained classification model to obtain a classification result.

Description

technical field [0001] The invention relates to the technical field of big data processing in TBM construction, in particular to a method for dividing an open TBM excavation cycle, a method for predicting the grade of surrounding rock, and a method for predicting lithology. Background technique [0002] Before the design and construction of the tunnel, the survey and design unit surveyed the lithology of each section of the TBM construction in the tunnel site area by means of survey, mapping, drilling, geophysical prospecting, etc., and classified different surrounding rock grades. In addition, the TBM construction schedule and support methods are designed for different lithologies and surrounding rock grades. However, due to the limited working space and complex electromagnetic environment of TBM, it is impossible to carry out detailed survey of the geological conditions in front of the TBM construction face, which will affect the efficiency and safety of TBM construction. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q10/06G06Q10/04G06Q50/08E21D9/11G06N3/04G06N3/08G06N3/00
CPCG06F30/27G06Q10/0633G06Q10/04G06Q50/08E21D9/11G06N3/084G06N3/006G06N3/044G06N3/045
Inventor 刘造保李龙王俊泽邵建富沈挽青
Owner NORTHEASTERN UNIV
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