Coal rock interface analysis method based on coal mining machine perception

An analysis method and shearer technology, applied in mining installations, testing machinery, mining equipment, etc., can solve the problems of mechanical equipment loss, high equipment performance requirements, easy to deviate from the working direction, etc.

CN104405391AInactive Publication Date: 2015-03-11CHINA UNIV OF MINING & TECH (BEIJING)
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2015-03-11
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a coal rock interface analysis method based on coal mining machine perception, and is realized based on a coal rock interface analysis system based on the coal mining machine perception. The system is composed of a large-capacity data storage device, a coal mining machine electrical main controller, an intrinsically safe type vibration accelerated speed sensor and the like. In the method, through coal mining machine working parameters composed of vibration signals, voltage and current and temperature torque of coal mining machine cutting and traction motors, coal mining machine rocker arm lifting oil cylinder pressure, and traction motor speed signals, signal characteristics of coal mining machine drum cutting teeth cutting coal and rock different roofs and floors situations are analyzed, wavelet packets are used for analyzing energy features of different frequency bands of the vibration signals, probability and statistic samples are used for analyzing feature distribution of the cutting machine working parameters, a multi-sensor information fusion technology is used for comprehensive establishment of different coal rock character databases, a coal mining machine perception coal rock interface is defined through a fuzzy mathematic theory, and a coal rock interface membership degree is calculated according to the coal mining machine perception multi-sensor information, so as to be used as a coal rock interface recognition basis.
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Description

technical field

[0001] The invention relates to an instrument for collecting working state parameters of electromechanical equipment and a method for identifying the load medium of the electromechanical equipment, in particular to a coal-rock interface analysis method based on shearer perception that can be used in underground coal mines. Background technique

[0002] Coal mine underground large-scale mining equipment refers to various coal mining machines used in coal mine fully mechanized mining face and various roadheaders used in fully mechanized mining face. It is the most critical large-scale equipment in coal comprehensive mechanized production.

[0003] Working underground, the working environment is harsh, the amount of dust is large, the visibility is low, the working space is narrow, and it is easy to deviate from the working direction and cause loss of mechanical equipment, so the requirements for equipment performance are high. Coal production is an industry wit...

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Embodiment Construction

[0096] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, below in conjunction with the accompanying drawings and preferred embodiments, a specific analysis method for coal-rock interface based on the perception of coal shearers proposed by the present invention will be described below. Embodiments, structures, features and effects thereof are described in detail as follows.

[0097] The aforementioned and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of preferred embodiments with reference to the drawings. Through the description of specific embodiments, the technical means and effects of the present invention to achieve the intended purpose can be understood more deeply and specifically. However, the accompanying drawings are only for reference and description, and are not used to explain the present inve...