基于红外测温的内部点热源的识别

Identification of inner point heat sources based on thermographic temperature measurement

基于表面测温的内热源识别问题在红外无损检测、微生物发酵、弹药和食物存储等领域都有重要的应用。利用遗传算法对导热反问题中热源项的反演问题进行了识别研究,系统地分析了多种因素对热源参数识别结果的影响。通过具体算例的求解,证明了该方法可以很好地解决内部点热源参数识别的问题。同时识别多个点热源的强度和位置时,结果都比较准确;在测温信息减少到依靠一边测温时,仅有远处的点热源的位置识别结果出现偏差;在测温误差的标准差不超过1.0℃时,热源强度和位置的识别结果都是准确的。

Identification of inner heat source based on surface temperature measurement can find many applications such as in thermographic nondestructive defection, in microbial fermentation and in ammunition and food storage fields. Genetic algorithm was used to study the identification problem of the heat source term. The factors affecting the identification results were analyzed. Numerical examples proved that the method can provide a good solution to the parameter identification problem of inner point heat source. The identification results of position and strength are accurate when multiple point heat sources are identified simultaneously. Only the identification result of the position has a deviation when the point heat source is far from the unique temperature measurement boundary. The identification results of positions and strengths of point heat sources are accurate when the standard deviation of the temperature measurement error does not exceed 1.0 ℃.