Infrared thermography for prediction of spontaneous combustion of sulfide ores
(School of Resources and Safety Engineering, Central South University, Changsha 410083, China)
Abstract: The method of infrared thermography to predict the temperature of the sulfide ores has a large error. To solve this problem, the temperature of the sulfide ores is measured by thermal infrared imager and recording thermometric instrument contrastively. The main factors, including emissivity, distance, angle and dust concentration that affect the temperature measurement precision, are analyzed. The regression equations about the individual factors and comprehensive factors are obtained by analyzing test data. The application of the regression equations improves the precision of the thermal infrared imager. The geometric information lost in traditional infrared thermometry is determined by visualization grid method and interpolation method, the relationship between the infrared imager and geometry information is established. The geometry location can be measured exactly.
Key words: sulfide ores; spontaneous combustion; prediction; infrared thermography; influent factors; regression equations; geometry location