Real-time discrimination method and system suitable for surrounding rock grade of TBM tunneling tunnel

A technology of surrounding rock grade and discrimination method, which is applied to tunnels, earthwork drilling, mining equipment, etc., can solve the problems of landslide jamming, TBM excavation tunnel surrounding rock grade cannot be judged in real time, TBM cannot efficiently excavate, etc., to improve Excavation efficiency and the effect of avoiding engineering accidents

Active Publication Date: 2020-05-26
SHANDONG UNIV
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Problems solved by technology

[0004] In order to solve the above problems, the present disclosure proposes a method and system suitable for real-time identification of the surrounding rock grade of TBM excavation tunnels. This disclosur

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  • Real-time discrimination method and system suitable for surrounding rock grade of TBM tunneling tunnel

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[0034] The disclosure will be further described below in conjunction with the drawings and embodiments.

[0035] It should be pointed out that the following detailed descriptions are all illustrative and are intended to provide further descriptions of the present disclosure. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present disclosure belongs.

[0036] It should be noted that the terms used here are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate There are features, steps, operations, devices, c...

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Abstract

The invention provides a real-time discrimination method and system suitable for surrounding rock grade of a TBM tunneling tunnel. The method comprises the following steps that a statistical analysisis carried out on tunneling data of the existing TBM tunneling tunnel to determine main factors influencing the surrounding rock grade; the TBM tunneling data at each grade is collected, the inappropriate data is removed, and tunneling data sample banks at different surrounding rock grades are established; the data in the sample banks are used for training a BP neural network to obtain a classifier, so that a pattern recognition model is established; trend checking is carried out on each index in the model by using a trend checking method, and the BP neural network pattern recognition model can be obtained after the check is qualified; and an engineering project is tested, and after a testing result meets a set requirement, the final BP neural network pattern recognition model is used fordiscriminating the surrounding rock grades in real time based on importing of the real-time tunneling data.

Description

technical field [0001] The disclosure belongs to the technical field of TBM excavation, and relates to a method and system suitable for real-time identification of surrounding rock grades of TBM excavation tunnels. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Different from the traditional drilling and blasting method, TBM tunneling has the characteristics of fast speed, good shape, and low pollution, but it is not adaptable to stratum changes. In order to make better use of the efficiency advantages of TBM excavation, it is urgent to judge the grade of TBM excavation surrounding rock in real time. At present, there is no real-time identification method for the surrounding rock grade suitable for TBM tunnels. Contents of the invention [0004] In order to solve the above problems, the present disclosure proposes a method and system...

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Application Information

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IPC IPC(8): E21F17/18E21F17/00E21D9/087
CPCE21D9/087E21F17/00E21F17/18
Inventor 邱道宏傅康薛翊国公惠民柏成浩刘洋
Owner SHANDONG UNIV
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