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Infrared spectral imaging based detection method for danger sources in longitudinal adhesive tape tearing

An infrared spectrum and longitudinal tearing technology, applied in the field of hazard detection, achieves the effect of simple structure and online monitoring

Inactive Publication Date: 2014-07-09
TAIYUAN UNIV OF TECH
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

The contact induction detection method indirectly judges the longitudinal tear of the tape by the sudden change of pressure or deformation; the non-contact detection method has the characteristics of non-destructive testing, but it is effective for the detection after tearing, so the current detection method of the longitudinal tear hazard of the tape is not yet available. Room for improvement

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  • Infrared spectral imaging based detection method for danger sources in longitudinal adhesive tape tearing
  • Infrared spectral imaging based detection method for danger sources in longitudinal adhesive tape tearing
  • Infrared spectral imaging based detection method for danger sources in longitudinal adhesive tape tearing

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Embodiment Construction

[0014] When a beam of infrared light with a continuous wavelength passes through a substance, and the vibration frequency or rotation frequency of a certain group in the substance molecule is the same as the frequency of the infrared light, the molecule absorbs energy and transitions from the original ground state vibration (rotation) kinetic energy level to energy At a higher vibration (rotational) kinetic energy level, molecules undergo vibration and rotational energy level transitions after absorbing infrared radiation, and the light at this wavelength is absorbed by the substance.

[0015] The energy difference between the energy absorbed and the energy absorbed by each mole of substance molecule is:

[0016] (1)

[0017] in Represents the energy difference between each mole of substance molecules after energy absorption and before energy absorption, Represents the energy after absorbing energy per mole of substance molecules, Represent...

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Abstract

The invention belongs to the field of danger source detection, particularly relates to an infrared spectral imaging based detection method for danger sources in longitudinal adhesive tape tearing. The infrared spectral imaging based detection method includes: step 1, mounting an infrared CCD (charge coupled device) camera at the uppermost position above a detected position of a conveying belt, and symmetrically fixing two area array light sources with wave numbers ranging from 2000 to 2800cm<-1> on two sides of the detected position of the conveying belt, wherein each area array light source forms an included angle of 45 degrees with a vertical direction; step 2, turning on the area array light sources, converting difference on spectral absorption energy from coal and the danger sources into difference on gradation of image by an image processing computer, and judging whether the danger sources exist or not in real time according to the gradation of image. The infrared spectral imaging based detection method has the advantage that real-time on-line detection on longitudinal adhesive tape tearing and the danger sources thereof by an infrared visual non-destructive testing technology is realized.

Description

technical field [0001] The invention belongs to the field of hazard detection, in particular to a method for detecting a hazard of tape longitudinal tearing based on infrared spectral imaging. Background technique [0002] Belt transportation is a necessary and expensive large-scale system for coal mine production. During its operation, sharp objects such as stones or metals are often stuck at the transfer port, broken belt catcher, etc., and the transportation belt is scratched, causing foreign matter to penetrate and material jams. Longitudinal tearing due to pressure, etc., causing major production safety accidents in coal mines. The online monitoring of the longitudinal tear and its hazards during the operation of the tape has problems such as uncertain fault models, time randomness, and complex causality. Therefore, with the advancement of online monitoring theory and machine vision technology, infrared vision non-destructive testing technology is a The real-time on-li...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B65G43/02
Inventor 乔铁柱段燕飞王琦王峰靳宝全景毅
Owner TAIYUAN UNIV OF TECH
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