Infrared Spectrum Analysis Method For Detection And Early Warning Of Longitudinal Tear Of Mine Conveyor Belt

As one of the most efficient and economical transportation equipment,belt conveyor is widely used in the field of coal mining.During the transportation,it is inevitable that the sharp impurities such as anchor rod and gangue are mixed in the coal bulk materials.These dangerous impurities are very easy to cause production accidents such as the conveyor belt scratch or even longitudinal tear.Once the accidents occurred,the equipment will be shut down,miners will stop work,which will affect the normal production and operation of the enterprise.In serious cases,it will also cause disaster accidents such as the fire and gas explosion.Therefore,it is an important scientific problem in the field of coal safety production to realize the damage detection of longitudinal tear of conveyor belt and improve the early warning ability.With the support of National Natural Science Foundation and Shanxi coal based low carbon joint fund,this paper proposes an infrared spectrum analysis method for detection and early warning of longitudinal tear of conveyor belt.In order to improve the ability of fault identification and early warning of the longitudinal tear of the belt conveyor and ensure the safety of the mining personnel.This method first studies the development process of the longitudinal tear of the conveyor belt,Starting from the stage of friction heat generation between the sharp metal foreign body and the belt to the development stage of piercing the tearing.Through the infrared thermal imager which installed on the lower surface of the conveyor belt to collect the infrared thermal images transferred to the lower surface when the upper surface is torn,use the software Thermo X extracts the temperature values of different pixels in the thermal image,and uses MATLAB to fit the radiation curve,analyzes the thermal radiation characteristics and background radiation characteristics of the friction puncture process of the hazard source to the conveyor belt,selects appropriate spectral passband by using the infrared radiation difference in the tearing stage of the conveyor belt,and obtains the maximum background radiation contrast of the target.Make radiation fitting image at the selected spectral passband,apply the fast Fourier transform technology which widely used in the image processing field to the infrared radiation field matrix,spectrum signal of the thermal image of the tear target is obtained,calculate the mean square deviation of the spectrum signal of the thermal image of the tear target,and get the parameter expression of the frequency domain of the infrared radiation field in the whole tear development stage,that is spectrum characteristic parameter T.Analyze the numerical law of spectrum characteristic parameter T in each stage of tear development.The spectrum characteristic parameter T is used as the carrier of tearing information and tearing precursory information judgment.Through the detection and demodulation of the carrier,the damage judgment and tearing early warning are made.Experimental results shows that the spectrum characteristic parameter T can quantitatively describe the change characteristics of infrared radiation field during the tearing process of conveyor belt.When the conveyor belt is completely punctured,the T value fluctuates violently from 0.6 to 1.6.This characteristic can be used as the precursor information of the tearing process,which broadens thinking for identification and early warning of conveyor belt longitudinal tearing.