基于改进自适应遗传算法的多波长测温计算  

Multi-wavelength temperature calculation based on the improved adaptive genetic algorithm

作　　者：冯驰[1] 王丽 高山[1] FENG Chi;WANG Li;GAO Shan(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2018年第3期28-34,共7页Applied Science and Technology

摘　　要：介绍了多波长辐射测温、遗传算法以及自适应算法的原理和方法,对多波长误差函数模型和自适应遗传算法进行了改进,并结合最小二乘法和改进的自适应遗传算法来提高计算结果的精度和稳定性。近红外多波长高温计应用光谱段分别为1 000~1 100、1 260~1 450、1 500~1 750和1 850~2 000 nm,温度测量为500~1 000℃,通过划分光谱区域、建立误差函数模型和自适应地调整交叉概率和变异概率,可以有效地去除环境反射和未知发射率的影响,从而使求解的温度值更加精确、稳定性更高。Multiple wavelength thermometry is an important way of radiation temperature measurement. In this paper,the error function model of the multiple wavelength and the adaptive genetic algorithm are improved, and the least square method and the improved adaptive genetic algorithm are combined to improve the precision and stability of the calculative results. Applied the spectrum areas of the near-infrared multi-wavelength pyrometer are 1 000-1 100 nm,1 260-1 450 nm, 1 500-1 750 and 1 850-2 000 nm respectively, the range of the temperature measurement is 500-1 000 ℃,through spectrum regions divided, error function model established and the crossover probability and mutation probability adjusted adaptively can effectively remove the environmental reflection and the influences of the unknown emissivity, and then calculative temperature value is higher accurate and stability.

关 键 词：多波长测温 误差函数 温度 发射率 最小二乘法 改进的自适应遗传算法 精确 稳定性 

分 类 号：TN911.72[电子电信—通信与信息系统]