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Coal rock interface identification method and coal cutting track determination method and device

A technology of coal and rock identification and identification method, applied in character and pattern recognition, instruments, computer parts and other directions, can solve problems such as poor universality, and achieve the effect of improving accuracy, improving universality, and improving coal mining efficiency

Active Publication Date: 2021-06-18
天津中新智冠信息技术有限公司
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Problems solved by technology

However, in practical applications, digital image processing of visible light images cannot meet the coal dust interference problem of most coal mining faces, and the key factor of water is often ignored, because water mist is usually sprayed in order to reduce dust during coal mining , and water is completely absorbed in the near-infrared spectral range, if there is water mist in the camera shooting range, or the surface of the coal rock is covered with water, the near-infrared cannot be identified through the spectrum
In summary, the existing coal-rock interface identification technology is not universally applicable.

Method used

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  • Coal rock interface identification method and coal cutting track determination method and device
  • Coal rock interface identification method and coal cutting track determination method and device
  • Coal rock interface identification method and coal cutting track determination method and device

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Embodiment approach

[0032] The present invention also provides an embodiment of the training of the coal rock identification network, including the following steps 1 to 4:

[0033] Step 1: Control each multi-spectral synthesis LED light source to be turned on individually, and control the multi-spectral camera to collect training coal wall image groups during the individual lighting of each multi-spectral synthesis LED light source. Wherein, the training coal wall image includes at least one training infrared band image and at least one training blue-green band image. In practical applications, a multispectral camera is equipped with multiple multispectral synthesis LED light sources. When collecting training coal wall images, each multispectral synthesis LED light source needs to be individually controlled to light up. For example, a multispectral camera is equipped with three multispectral synthesis LEDs. For light sources A, B, and C, firstly control light source A to light up separately, and ...

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Abstract

The invention provides a coal rock interface identification method and a coal cutting track determination method and device, and relates to the technical field of coal rock interface identification. The method comprises the steps: obtaining a to-be-identified coal wall image group of a coal mining scene, wherein the to-be-identified coal wall image group comprises a to-be-identified near-infrared band image and a to-be-identified blue-green band image; and performing coal rock identification on the coal mining scene through a pre-trained coal rock identification network according to the to-be-identified near-infrared band image and the to-be-identified blue-green band image to obtain a coal rock identification result of the coal mining scene. According to the embodiment of the invention, the coal wall texture can be accurately collected under dust and water mist conditions, the universality of coal rock interface identification is remarkably improved, and the accuracy of coal rock interface identification is effectively improved.

Description

technical field [0001] The invention relates to the technical field of coal-rock interface identification, in particular to a coal-rock interface identification method, a method and a device for determining a coal-cutting trajectory. Background technique [0002] When the shearer is working, it is necessary to self-adaptively cut the thickness of the coal seam in the fully mechanized mining face, and its technical core is the identification of the coal-rock interface. At present, coal-rock interface recognition technologies include visible light image recognition based on machine vision, hyperspectral image recognition, image recognition combined with thermal imaging and visible light, etc. These methods aim at the problem of coal dust interference in underground coal mining face. Some processing schemes are proposed in terms of infrared spectral characteristics. However, in practical applications, digital image processing of visible light images cannot meet the coal dust i...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/00G06F18/241G06F18/214
Inventor 梁兴国谭琦陈曦冯化一冯俊
Owner 天津中新智冠信息技术有限公司
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