Structured sparse coding based coal rock identification method

A technology of sparse coding and coal and rock recognition, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as complex structure, damage of mechanical components, sensors and electrical circuits, poor reliability of devices, etc.

Inactive Publication Date: 2016-02-24
CHINA UNIV OF MINING & TECH (BEIJING)
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  • Abstract
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Problems solved by technology

[0003] Many methods have been applied to coal rock identification, such as natural gamma ray detection, radar detection, stress picks, infrared detection, active power monitoring, vibration detection, sound detection, dust detection, memory cutting, etc., but these methods have the following Problems: ① It is necessary to install various sensors on the existing equipment to obtain information, resulting in complex structure and high cost of the device
② Shearer drums, roadheaders and other equipment are subjected to complex forces, severe vibrations, severe wear, and large dust during the production process. It is difficult to deploy sensors, which easily leads to damage to mechanical components, sensors, and electrical circuits, and poor device reliability.
③ For different types of mechanical equ

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  • Structured sparse coding based coal rock identification method
  • Structured sparse coding based coal rock identification method
  • Structured sparse coding based coal rock identification method

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[0016] specific implementation plan

[0017] figure 1 It is a schematic diagram of the principle of the coal and rock identification method of the present invention, mainly including 3 layers: an image layer, a coding layer and a pooling layer. The image layer provides input to the coding layer. In this embodiment, image blocks are extracted from grayscale images as codes The input of layer; The coding layer calculates the expression coefficient when each image block is expressed with MK primitives, and the present embodiment uses 1 1 -norm optimizes the calculation of expression coefficients, so that there are very few non-zero elements in the expression coefficients, so it is called sparse coding; the pooling layer calculates the statistical characteristics of all expression coefficients and then obtains the feature expression of the input image. The specific implementation steps are as follows:

[0018] A. Collect M+1 coal (or rock) images from the site of the coal rock id...

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Abstract

The invention discloses a structured sparse coding based coal rock identification method. According to the method, spatial structure features of coal rocks are captured, so that the method has very good discrimination capability and robustness to imaging environment change. Therefore, the method has very high identification stability and identification correctness and can provide reliable coal rock identification information for production processes of automated mining, automated coal discharge, automated waste rock selection and the like.

Description

technical field [0001] The invention relates to a coal rock identification method based on structured sparse coding, which belongs to the field of coal rock identification. Background technique [0002] Coal and rock identification is to use a method to automatically identify coal and rock objects as coal or rock. In the process of coal production, coal rock identification technology can be widely used in the production links such as drum coal mining, tunneling, caving coal mining, and raw coal gangue selection. It is of great significance to improve the working environment and realize the safe and efficient production of coal mines. [0003] Many methods have been applied to coal rock identification, such as natural gamma ray detection, radar detection, stress picks, infrared detection, active power monitoring, vibration detection, sound detection, dust detection, memory cutting, etc., but these methods have the following Problems: ① It is necessary to install various sen...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2136
Inventor 伍云霞孙继平
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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