Method for classifying and identifying coal gangue and coal in raw coal

Abstract

The invention discloses a method for classifying and identifying coal gangue and coal in raw coal, which includes collecting an image of coal gangue as a training sample set 1, labeling the image as coal gangue, collecting an image of coal as a training sample set 2, and labeling the image as coal; extracting a coal gangue main body part in the training sample set 1 and a coal main body part in the training sample set 2 through a segmentation algorithm, and separating coal gangue and coal main bodies from the sample set image background; performing image decomposition on the new image sample set obtained in the step 2 by using wavelet transform, and extracting features of each frequency domain sub-graph; and taking a decomposed image obtained after wavelet transformation as the input of the convolutional neural network, and optimizing and updating the network weight parameter through multiple times of training, thereby obtaining the neural network parameter with the highest accuracy, and obtaining an optimal coal gangue and coal identification and classification model. The method can be easily arranged on a conveying belt for coal production, and is simple and convenient to operateand relatively low in cost.

Description

technical field [0001] The invention relates to the technical field of classification and identification of gangue and coal, in particular to a method for classification and identification of gangue and coal in coal. Background technique [0002] Coal gangue is waste residue produced during coal mine production. Excessive content of gangue in coal will affect the effect of coal combustion and reduce the efficiency of coal combustion. Moreover, coal gangue will produce a large amount of sulfide gas to pollute the air. In order to improve the effect of coal combustion and reduce the pollution of coal gangue to the environment, it is necessary to separate coal gangue from coal before coal combustion. The traditional separation of gangue from coal is carried out by water washing, and the traditional method consumes three tons of clean water for washing one ton of raw coal. Although the water can be recycled after treatment, it currently consumes one ton for washing one ton of ra...

AI Technical Summary

Problems solved by technology

The traditional separation of gangue from coal is carried out by water washing, and the traditional method consumes three tons of clean water for washing one ton of raw coal. Although the water can be recycled after treatment, it currently consumes one ton for washing one ton of raw coal Water, high water consumption, large investment in water treatment technology and equipment, and the fact that the washed coal contains moisture reduces combustion efficiency are the defects in the coal washing process

At present, dry coal preparation is a new technology for coal gangue separation. Dry coal preparation is a device that can scan coal preparation at the next step of the conveyor belt that transports coal. When the coal gangue is identified, the subsequent sorting device can clean the coal gangue. Out of the conveyor belt, scanning coal preparation currently has methods such as manual screening, γ-ray method, radio detection, infrared reflection, etc. Manual screening requires a lot of manpower, and the labor intensity of workers is very high. are very reliable, but in practical applications it is more difficult to achieve, requiring a higher cost to achieve

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