An Intelligent Coal Shearer Cutting Pattern Recognition System
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A pattern recognition and shearer technology, applied in character and pattern recognition, slitting machinery, earthwork drilling and mining, etc., can solve problems such as insufficient recognition accuracy and complex detection equipment
What is AI technical title?
AI technical title is built by PatSnap AI team. It summarizes the technical point description of the patent document.
A pattern recognition and shearer technology, applied in character and pattern recognition, slitting machinery, earthwork drilling and mining, etc., can solve problems such as insufficient recognition accuracy and complex detection equipment
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[0034] The present invention will be described in detail below according to the accompanying drawings.
[0035] refer to figure 1, an intelligent shearer cutting pattern recognition system, the system is composed of a sensing module 2 and a control module 3, wherein the control module 3 is composed of a parameter intelligent optimization part 4 and a GBDT classifier 5. The connection mode of each module is: the sensor module 2 measures the running speed, current and voltage of the motor of the shearer 1 when it is working, and transmits these data to the control module 3; the control module intelligently identifies the current geological conditions according to the operating data , and transmit the result to the shearer 1 so that the shearer can adjust the cutting mode in time. The control module includes a coal-rock interface recognition model. The model uses the gradient boosting tree GBDT as a classifier, and uses an optimization algorithm to optimize the two parameters n_...
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Abstract
The invention discloses an intelligent coal mining machine cutting pattern recognition system consists of a sensing module and a control module. The sensing module measures the running speed, currentand voltage of a motor when a coal mining machine works, and transmits the data to the control module. The control module combines an intelligent parameter optimization algorithm and a GBDT classifierto intelligently identify a current geological condition according to the operation data, and transmits a result to the coal mining machine so that the coal mining machine can adjust the cutting pattern in time. By adopting the intelligent coal mining machine cutting pattern recognition system, the defects are overcome that a detection device is complex and the recognition accuracy is not high enough in recognition in a current cutting pattern of the coal mining machine, the running speed, current and voltage of the motor are taken as detection signals, detection devices are simple, and the detection signals have reliable corresponding relation with cutting patterns; the GBDT algorithm is selected as the classifier, so that the identification accuracy is high; the parameters of the classifier are optimized by using the improved optimization algorithm, and the identification accuracy is further improved.
Description
technical field [0001] The invention relates to the field of coal mining, in particular to an intelligent shearer cutting pattern recognition system. Background technique [0002] The shearer is the key equipment in the fully mechanized coal mining work area. In order to ensure the smooth operation of the equipment, prevent the damage of electromechanical components, realize the automatic control of coal mining, and reduce the number of personnel in the working face, it is of great significance to identify the cutting mode of the shearer. [0003] The cutting mode recognition of coal shearer is mainly based on the identification of coal-rock interface. At present, the identification methods of coal-rock interface include gamma ray scattering method, radar detection method, vibration test method, optical measurement technology, thermal measurement technology, etc. Although the above studies have given a lot of valuable experimental data and results on cutting pattern recogni...
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