Infrared thermography for prediction of spontaneous combustion of sulfide ores  

硫化矿石自燃红外热成像预测技术分析(英文)

作　　者：李孜军[1] 石东平[1] 吴超[1] 王晓磊[1] 

机构地区：[1]中南大学资源与安全工程学院,长沙410083

出　　处：《Transactions of Nonferrous Metals Society of China》2012年第12期3095-3102,共8页中国有色金属学报（英文版）

基　　金：Project (51074181) supported by the National Natural Science Foundation of China;Project (2010ssxt241) supported by Precious Dissertation Innovation Foundation of Central South University, China

摘　　要：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.针对红外测温法预测硫化矿石自燃的误差大、精度低等问题,用可记录测温仪和红外热像仪对硫化矿石堆表面温度进行对比测定。分析发射率、距离、角度、粉尘浓度这4个影响测温精度的主要因素;对数据进行处理得到单个影响因素的拟合方程和综合影响因素的拟合方程。同时,利用可视化网格法和插值法,解决了传统红外测温中单纯依据红外图像无法用简单公式描述被测表面几何位置的问题,并建立了红外图像温度和几何位置相对应的关系。

关 键 词：sulfide ores spontaneous combustion PREDICTION infrared thermography influent factors regression equations geometry location 

分 类 号：TD75[矿业工程—矿井通风与安全]