Coal mine quality detection device based on machine learning

Abstract

The invention relates to the technical field of coal mine quality detection, in particular to a coal mine quality detection device based on machine learning, which comprises a crushing mechanism, two symmetrical locking mechanisms are mounted on the crushing mechanism, a screening mechanism is mounted in the crushing mechanism, and a pushing mechanism is mounted in the crushing mechanism. A detection mechanism is mounted in the crushing mechanism, and the exterior of the crushing mechanism is connected with a driving mechanism; and coal briquettes are conveniently crushed under the action of the crushing mechanism, the crushed coal briquettes are further filtered under the action of the screening mechanism, and powdery coal and the detection mechanism are repeatedly mixed under the action of the pushing mechanism, so that the water content detection work is conveniently carried out, and the quality of a coal mine is monitored.

Description

technical field [0001] The invention relates to the technical field of coal mine quality detection, in particular to a machine learning-based coal mine quality detection device. Background technique [0002] With the progress of the times and the development of society, the demand for coal is greater. When coal mining is carried out, in order to detect the quality of the coal mine, when the moisture content of the coal mined in the coal mine is tested, the coal block needs to be crushed, so that It is convenient and better to detect and obtain better real-time data, which is conducive to monitoring and controlling the quality of coal. [0003] However, when the coal in the coal mine is traditionally crushed, due to the lack of outdoor sampling, most of the coal is knocked and crushed with a hammer, which is inconvenient to operate, and it is inconvenient to filter and sieve the coal, so that The coal particles are uneven and the purity is poor, which will easily cause the d...

AI Technical Summary

Problems solved by technology

[0003] However, when the coal in the coal mine is traditionally crushed, due to the lack of outdoor sampling, most of the coal is knocked and crushed with a hammer, which is inconvenient to operate, and it is inconvenient to filter and sieve the coal, so that The coal particles are uneven and the purity is poor, which will easily cause the deviation of the detected data during the detection, thus reducing the quality effect during the detection

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