System and Method for Predicting Quartz Content of Tunnel Inner Rock Based on Image Recognition and Analysis

Abstract

The invention discloses a system and method for predicting the quartz content of tunnel inner rocks based on image recognition and analysis, which includes: a base for fixing to a tunnel boring machine, an image acquisition module, a retractable first drive link and a second telescopic drive link. Six drive linkages, a control module, and a quartz content prediction module; wherein, the base is connected to the image acquisition module through the first drive linkage, and the rod body of the first drive linkage and the base are connected by a sixth drive The connecting rod is connected; the control module is used to send control instructions to the first driving connecting rod, the sixth driving connecting rod and the image acquisition module, and receive the surrounding rock image transmitted by the image acquisition module, and send it to the quartz content prediction module Perform quartz content predictions. The system device of the present invention has strong flexibility, can obtain images of the surrounding rocks in the whole space of the tunnel, and quickly obtain the quartz content based on the images of the surrounding rocks.

Description

technical field [0001] The invention belongs to the technical field of testing the quartz content of surrounding rocks in tunnels, and in particular relates to a system and method for predicting the quartz content of surrounding rocks in tunnels based on image recognition and analysis. 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] Tunnel boring machine (abbreviated as TBM) has the advantages of fast excavation speed, small disturbance of surrounding rock, high construction safety factor and high comprehensive benefit. TBM has become the most promising mechanical equipment for tunnel excavation and is widely used in road tunnels. , railway tunnels, diversion tunnels and other tunnel projects. Prediction of TBM excavation speed and excessive tool wear are important issues gradually revealed in TBM construction. The wear of rock boring m...

AI Technical Summary

Problems solved by technology

[0004] At present, X-ray diffraction (XRD) or near-infrared mineral analyzers are mainly used to measure the quartz content in rocks, but these testing methods have the following defects: (1) The test range is small. For example, when using XRD technology to measure the quartz content, each measurement The sample is less than half a gram, and the test sample is too small to fully reflect the distribution of surrounding rock quartz. The same is true for near-infrared mineral analyzers; (2) It takes a long time, and a test takes several minutes, or even tens of minutes, such as XRD technology; (3) There is a lot of preparation work, and the sample preparation is complicated. Before using XRD technology to measure the quartz content, the rock needs to be ground into rock powder, and the particle size is strictly limited; (4) Manual operation, each test requires manual operation of the instrument; (5) Data analysis and processing are complex, and the test results are often not mineral content but mineral spectrum, which requires professional software and experienced engineers for data analysis

It can be seen from the above that the existing quartz content detection technology cannot meet the needs of real-time, unmanned and rapid quartz content detection in tunnels

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