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Infrared thermography for prediction of spontaneous combustion of sulfide ores 被引量:5
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作者 李孜军 石东平 +1 位作者 吴超 王晓磊 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2012年第12期3095-3102,共8页
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 the... 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. 展开更多
关键词 sulfide ores spontaneous combustion PREDICTION infrared thermography influent factors regression equations geometry location
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