哈尔滨工程大学学报2025，Vol.46Issue(10)：2107-2115,9.DOI:10.11990/jheu.202405038
基于多策略改进北方苍鹰算法的多光谱辐射测温方法
Multispectral radiation temperature measurement method based on multi-strategy improved NGO algorithm
摘要
Abstract
This study aims to address the problems of unknown prior information on emissivity and the mismatch be-tween the assumed emissivity model and the actual situation in multispectral radiation temperature measurements.For this purpose,this work proposes a data processing method for multispectral radiation temperature measurement through enhancing the northern goshawk optimization using multiple strategies.Compared to the traditional Northern goshawk algorithm,the proposed version is improved by introducing multiple operations,such as best-value guid-ance strategy,subtraction-based optimizer algorithm,cauchy mutation,and dynamic update,resulting in higher ac-curacy and convergence speed in equation solving.The data of the six typical emissivity models and the rocket en-gine plume temperature experiment were processed.The maximum relative error of the inverted temperature was less than 1%,and the single inversion time was less than 0.5 s.This result proves that the algorithm proposed in this study is reliable and effective.Therefore,this approach provides a novel method for online multispectral tem-perature monitoring.关键词
多光谱/发射率/北方苍鹰/数据处理/辐射测温/启发式算法/温度反演/无模型化光谱测温Key words
multispectral/emissivity/northern goshawk optimization/data processing/radiation temperature meas-urement/heuristic algorithm/temperature inversion/model-free spectral temperature measurement分类
物理学引用本文复制引用
陈智炜,高山,韩月,刘海龙,陈立伟,王桐..基于多策略改进北方苍鹰算法的多光谱辐射测温方法[J].哈尔滨工程大学学报,2025,46(10):2107-2115,9.基金项目
国家自然科学基金项目(62275059,U20A20213) （62275059,U20A20213）
黑龙江省自然科学基金项目(YQ2023F014). （YQ2023F014）
