Automatic coal rock identification method based on multi-tranducer data fusion

A data fusion and multi-sensor technology, applied in the direction of driving devices, earthwork drilling, slitting machinery, etc., can solve the problems of top and bottom coal remaining thick, lower recovery rate, and lower quality of raw coal, so as to improve efficiency and recovery rate , realize the effect of automatic height adjustment and reduce downtime

Inactive Publication Date: 2020-05-15
LIAONING TECHNICAL UNIVERSITY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the cut rock is mixed into the raw coal, it will also cause a decline in the quality of the raw coal
In addition, if the position of the drum is not adjusted properly, it may also cause the top and bottom coal to remain too thick, thereby reducing the recovery rate.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic coal rock identification method based on multi-tranducer data fusion
  • Automatic coal rock identification method based on multi-tranducer data fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0015] In this embodiment, the sensitivity of the piezoelectric acceleration sensor 3 is 35 pC / g, the frequency range is 0.2 Hz to 8000 Hz, the maximum lateral sensitivity ratio is less than 5%, there are two types of lead wires at the top and side ends, and the sensor shell is insulated from the ground. It has explosion-proof characteristics; the applicable working environment temperature of the speed torque sensor 4 is 0-55°C, the maximum torque allowed to be measured is 120% of the rated value, and the sensor housing has explosion-proof characteristics; the accuracy level of the Hall high-current sensor 5 is ≤1.0%. F.S, the linearity is better than 0.2%, the frequency characteristic is 0~100kHz, the applicable working environment temperature is -10℃~50℃, and there is no frost when the humidity is 20%~90%. The sensor shell has explos...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an automatic coal rock identification method based on multi-transducer data fusion. The comprises the following steps of: installing a microprocessor on a coal cutter body; installing a piezoelectric acceleration transducer on a cutting motor; installing a rotating speed and torque transducer on a roller connecting shaft; installing a Hall large current transducer; connecting each transducer with the microprocessor through a data transmission wire; when the coal wall is cut by a roller of a coal cutter, acquiring a vibration signal of a rocking arm by using the piezoelectric acceleration transducer, acquiring a torque signal of the roller by using the rotating speed and torque transducer, acquiring a current signal of a traction motor by using the Hall large currenttransducer, and transmitting each signal to the microprocessor in real time; extracting signal characteristics based on the wavelet transform theory by using the microprocessor, carrying out fusion analysis on the data of each transducer by adopting a BP neural network method in order to judge the interface of the coal rock; subsequently transmitting the obtained control signal to the cutting motor of the coal cutter; and finally realizing automatic heightening of the rocking arm of the coal cutter in an unmanned control way.

Description

technical field [0001] The invention belongs to the technical field of coal mining, in particular to an automatic identification method for coal rocks based on multi-sensor data fusion. Background technique [0002] Coal is the main body of conventional energy in my country, and the coal industry occupies a pivotal position in the entire national economy. Coal mining mechanization has become a key technology for the coal industry to increase output, improve labor productivity, reduce major vicious accidents and improve working conditions. Coal mining machine is one of the main equipment of comprehensive mechanized coal mining face, and the automation of coal mining machine has become the central part of the automation of the entire working face. [0003] The automation of the shearer mainly includes two parts, which are divided into automatic control of traction speed and automatic control of drum cutting height. At present, the traction speed of most shearers at home and ab...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): E21C35/24E21C31/02
CPCE21C31/02E21C35/24
Inventor 陈再明罗霄刘光伟
Owner LIAONING TECHNICAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap