Sound based coal-rock interface recognition device and recognition method

Abstract

The invention relates to a sound based coal-rock interface recognition device and a recognition method. The device consists of an anti-explosion shell, a core processor arranged in the anti-explosion shell, a data memory, an audio signal receiving module, a signal transmission module and an intrinsic safety type battery. The anti-explosion shell is externally provided with a microphone, the sound signal collected by the microphone is transmitted to the core processor by the audio signal receiving module, the core processor is connected to the data memory, the core processor carries out analytical processing on the audio signal, then the signal transmission module transmits the signal to a coal mining machine controller, and the coal mining machine controller is connected to a coal mining machine hydraulic system execution unit. The method utilizes the time-frequency decomposition characteristics, positioning and masking characteristics of human ear physiology to conduct further processing so as to distinguish the current cutting state of the coal mining machine, thereby quickly recognizing the coal-rock interface. The device and the method provided by the invention have the advantages of high measurement accuracy, cause small device loss, suitability for all geological conditions, and wide application range.

Description

technical field [0001] The invention relates to a coal-rock interface identification device and identification method, in particular to a sound-based coal-rock interface identification device and method, and belongs to the technical field of coal-rock interface identification. Background technique [0002] With the continuous development of comprehensive mechanized coal mining technology, scholars at home and abroad have successively proposed the concept of "unmanned" or "less-manned" coal mining face. As an important equipment in the "three machines" of the fully mechanized mining face, the shearer mainly completes the tasks of mining and dropping coal. In the "unmanned" or "less manned" coal mining face, it is necessary to solve the problem of automatic adjustment of the shearer drum to adapt to the undulation of the roof and floor of the coal seam, that is, to distinguish the interface between the coal seam and the rock, and according to the identified The coal-rock inte...

AI Technical Summary

Problems solved by technology

However, the images collected underground will be affected by dust, and the images contain a lot of background noise, which affects the effect of image feature extraction

In addition, the Fisher classifier is a linear classifier, which can only identify the existing situations in the training process, and cannot effectively predict the situations that have not occurred before.

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