Coal gangue identification method in top coal caving process based on multi-sensing information fusion

Abstract

A coal gangue identification method in a top coal caving process based on multi-sensing information fusion comprises the following steps: respectively learning vibration signals and sound signals after feature screening through a BP neural network and a support vector machine to obtain a trained BP neural network classification model and a trained support vector machine classification model; further, vibration signals and sound signals generated when the coal gangue impacts the tail beam of the top coal caving hydraulic support are accurately and efficiently recognized and classified; and theDS evidence performs decision fusion on classification results obtained by the BP neural network classification model and the support vector machine classification model, so that the accuracy and credibility of coal gangue identification are improved. The spectrum recognition device can monitor coal gangue on the scraper conveyor in real time, and is an important basis for controlling opening andclosing of a top coal caving opening; due to the fact that two recognition ways are set, the coal gangue recognition precision is further improved, and the coal gangue recognition method can adapt tothe working condition with good visibility and can also adapt to the working condition with low visibility.

Description

technical field [0001] The invention relates to a coal gangue identification method, in particular to a coal gangue identification method in the top coal caving process based on multi-sensing information fusion, and belongs to the technical field of coal gangue identification. Background technique [0002] In my country, extra-thick coal seams are rich in reserves and fully mechanized mining methods are mainly used. Realizing safe and efficient mining of extra-thick coal seams is of great significance to ensure the continuous supply of coal in my country. At present, manual coal caving is still used in fully mechanized caving mining. Due to the large dust and harsh conditions of the coal mining face, it often brings safety problems for on-site operators, and it is difficult to accurately judge the degree of top coal caving by hand, which inevitably leads to coal caving. Process over-discharge and under-discharge conditions. In the case of over-discharging, a large amount of...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for identifying coal and gangue in the caving process based on multi-sensing information fusion, which can solve the problem of low accuracy of manual identification of coal and gangue caused by harsh environments such as dusty, humid, and dark working faces. Keep workers away from the hydraulic support operating area and reduce labor intensity

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