Belt conveyer key component automatic identification method based on infrared thermography

A belt conveyor and belt conveying technology, applied to computer parts, character and pattern recognition, instruments, etc., to achieve high engineering application value and significant economic benefits

Inactive Publication Date: 2016-07-13
XIAN UNIV OF SCI & TECH
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The shape feature Zernike moment is effective for the obtained target contour as a complete closed contour, but if the parts obtained from the shooting angle are partially occluded, there is a great inaccuracy in identifying key parts only by using shape features. Compared with v

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
  • Belt conveyer key component automatic identification method based on infrared thermography
  • Belt conveyer key component automatic identification method based on infrared thermography

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] The preferred embodiments are described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary, and is not intended to limit the scope and application of the present invention.

[0030] The key components of belt conveyors are motors, rollers and rollers.

[0031] Such as figure 1 As shown, an automatic identification method for key components of a belt conveyor based on infrared thermal imaging includes the following steps:

[0032] Step (1) Denoise the collected infrared image of the belt conveyor, and adopt the bilateral filtering of the preprocessing algorithm suitable for the infrared image of the belt conveyor, which can effectively eliminate the fringe noise in the infrared image of the belt conveyor;

[0033] Step (2) Perform piecewise linear transformation on the denoised infrared image of the belt conveyor to enhance the contrast between key components and the background;

[0034] Step (3) ...

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 discloses a belt conveyer key component automatic identification method based on infrared thermography. An acquired belt conveyer infrared image is preprocessed by adopting bilateral filtering and a piecewise linear transform algorithm; image segmentation is performed by adopting an improved region growing method; a Zernike moment is extracted to act as a shape feature vector for belt conveyer key component target classification, and entropy and contrast are extracted to act as a texture feature vector for belt conveyer key component target classification; and a classifier based on a BP neural network is designed, and classification and identification of the belt conveyer key component infrared image are completed by utilizing the extracted shape features and texture features. The key components in the belt conveyer infrared monitoring image can be automatically identified through integration of an infrared thermal imaging technology, a computer technology and an image processing and identification technology so that the necessary technical support is provided for fault early warning of a belt conveyer of an underground coal mine, and the method has important meaning for guaranteeing safe operation of the belt conveyer.

Description

technical field [0001] The invention belongs to the field of mining equipment operation state monitoring, and in particular relates to an automatic identification method for key components of a belt conveyor based on infrared thermal images. Background technique [0002] The safe operation of the belt conveyor is a major issue related to the safe production of coal mines, so the monitoring of the running status of the belt conveyor is very necessary. Since many key faults of the belt conveyor are manifested by temperature abnormalities, using infrared thermal imaging technology, it is possible to diagnose and analyze the thermal faults of the belt conveyor without sampling, disassembly, or power failure, quickly and It is convenient to judge the thermal faults of key components such as belt conveyor motors, idlers, and rollers. Diagnostic rules for specific diagnoses. Therefore, the identification of the key components of the belt conveyor is the prerequisite for the fault...

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
IPC IPC(8): G06K9/62G06K9/40G06N3/02
CPCG06N3/02G06V10/30G06V2201/07G06F18/285G06F18/253
Inventor 马宏伟杨文娟张旭辉毛清华曹现刚王川伟
Owner XIAN UNIV OF SCI & TECH
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