Tunnel face surrounding rock level rapid identification method based on machine vision

A kind of surrounding rock level, machine vision technology, applied in the field of image recognition, can solve the problems of difficult to achieve guidance, recognition uncertainty, time-consuming and other problems, to achieve high level of automation, low requirements for the use environment, reduce workload Effect

Pending Publication Date: 2021-02-09
招商局重庆公路工程检测中心有限公司 +1
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Problems solved by technology

The new "Code for Design of Highway Tunnels" (JTG D70-2014) has the disadvantage of the surrounding rock classification method: its qualitative method is very macroscopic, and it is difficult to achieve a specific guiding role in actual engineering, and its quantitative classification method is simple and feasible, but in During the construction, it

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  • Tunnel face surrounding rock level rapid identification method based on machine vision
  • Tunnel face surrounding rock level rapid identification method based on machine vision
  • Tunnel face surrounding rock level rapid identification method based on machine vision

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Embodiment Construction

[0026] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0027] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a tunnel face surrounding rock level rapid identification method and system based on machine vision, and belongs to the technical field of image identification. The method comprises the following steps: S1, giving an instruction for executing processing to a special tablet personal computer; S2, employing a special tablet personal computer for sending an instruction through an interface to enable light supplementing equipment to supplement light, and collecting an image through a camera; S3, performing preprocessing (wavelet packet) on the collected image; S4, sharpening the image; S5, performing edge detection; S6, learning the images by adopting deep learning, extracting recognition features, and describing stratums and joints of surrounding rocks of the tunnel face; S7, according to the identification result, judging the surrounding rock type and the breaking degree, outputting the tunnel face surrounding rock level, and outputting related documents of the judgment basis. The key technical problems of high efficiency and intelligent identification of the surrounding rock level of the tunnel face of the highway tunnel are solved, and the safety and high efficiency of a tunnel construction interface can be improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and relates to a machine vision-based rapid recognition method for the surrounding rock level of a tunnel face. Background technique [0002] Tunnel engineering has become the controlling engineering of highway construction in mountainous areas. The classification of tunnel surrounding rock is the basis of tunnel design and construction, and plays a very important role in tunnel engineering. The new "Code for Design of Highway Tunnels" (JTG D70-2014) has the disadvantage of the surrounding rock classification method: its qualitative method is very macroscopic, and it is difficult to achieve a specific guiding role in actual engineering, and its quantitative classification method is simple and feasible, but in During the construction, it is necessary to combine the actual situation of the tunnel and adopt a rapid index acquisition method. Therefore, it is particularly urgent to establi...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06N3/08G06T5/00G06T5/20G06T7/00G06T7/13
CPCG06T5/003G06T7/13G06N3/08G06T5/20G06T7/0004G06T2207/20081G06T2207/20084G06V10/25
Inventor 庞荣缪庆旭袁源张朋许培振秦峰黄贤锦刘瑞全代东林韩坤林蒋明星
Owner 招商局重庆公路工程检测中心有限公司
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