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Study Of The Prediction Of Spontaneous Combustion Of Sulfide Ores Based On The Infrared Technogy

Posted on:2013-11-18Degree:MasterType:Thesis
Country:ChinaCandidate:D P ShiFull Text:PDF
GTID:2231330374487670Subject:Safety Technology and Engineering
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The fire caused by internal reasons in sulfide ore mines is very common. The spontaneous combustion of sulfide ores will bring huge economic losses and cause a series of environmental and safety problems. It is necessary to predict the spontaneous combustion of sulfide ores. Based on the collection and access to relevant literature at home and abroad, systematic review was given to the mechanisms of sulfide ores spontaneous combustion and the basic principles of infrared thermography. The main factors that affect the temperature measurement precision are analyzed. The regression equations about the individual factors and comprehensive factors are obtained by analysing by the combination of experimental method and numerical analysis. The application of the regression equations improves the precision of the thermal infrared imager, the relationship of the infrared imager and geometry information is also established.The main research contents and results in this paper are as follows:(1) The current situation of spontaneous combustion prediction was introduced:The methods of sulfide ores spontaneous combustion were described, the development of infrared technology in theory and experiment and its applications in various fields at home and abroad was illustrated, the status quo of the application of infrared thermal thermography in predicting and forecasting.(2) The factors that affect the spontaneous combustion of sulfide ores were analyied in theory. On the basis of related references,the physical and chemical properties of sulfide ores was analyzed, the formals of sulfides ores’oxidation reaction in the different situations were enumerated, Moreover, the factors the affect the spontaneous combustion were set forth in details.(3) The basic theory and law of infrared radiation was elaborated, the attenuation of infrared during the transmission was introduced. The basic working principle of infrared thermal thermograhy was introduced, the fundamental characteristics of each part of infrared thermal thermography was studied, the analysis was carried out contrary to how to choice the infrared thermal thermography.(4) The main factors including emissivity, mesuured distance, measured angle, dust concentration, noise sizes, wind velocity that affect the temperature measurement precision are analyzed. After design the experimental apparatus, the single factor experiments and orthogonal test were combined to analyze the sample A. B. C and D. After analyzing the test data, the regression equations about the infrared thermal thermograhy affected by comprehensive factors were attained..(5) Apply the regression equations of the four sulfide ores in the actual work. The real application was proceed in the sampling site. The measuring point was near with the sampling site of sample A, B, C and D. The measuring points were measured by thermal infrared imager as well as the corrected value that calculated by regression equations. The relative error between the corrected temperature value and the real temperature measured by recording thermometric instrument become small. It proved the favorable availability of the regression equations.(6) Make sure the geometric position of infrared image.The visualization grid method and interpolation method were applied to process the results of modified in the sample A, B, C and D, the geometric information was obtained. It provided the regression equations for the obtaining of measuring points’geometric coordinates. The surface temperature of the four sulfide ores after heating2hours,3hours,4hours,5hours was simulated by MATLAB.(7) Predict the self-ignition point.Measuring the surface of the sample A, B, C, D. the temperature under10mm,20mm,30mm,40mm,50mm,60mm were also measured. The regression equations about the surface and the inner distance were obtained.
Keywords/Search Tags:sulfide ores, spontaneous combustion, infrared thermography, influent factors, regression equations, geometry location, self-ignition point prediction
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