多光谱温度计数据处理算法,结合增强的拉格朗日方法和修改的平衡优化算法
Yucun Zhang1, Zukun Huang1, Xianbin Fu2
1Institute of Electrical Engineering, Yanshan University, Qinhuangdao City 066000, China.
The Review of scientific instruments
|November 18, 2025
概括
这项研究引入了一种用于高温多谱温度计 (1500-3000 K) 的新算法. 修改平衡优化器增强的拉格兰方法在具有挑战性的环境中准确地测量温度.
科学领域:
- 物理 物理学 物理
- 工程 工程师 工程师 工程师
- 材料科学 材料科学 材料科学
背景情况:
- 在高温工业过程中,准确的温度测量是至关重要的.
- 传统方法在极端温度 (1500-3000 K) 时面临限制.
- 多光谱温度计为非接触式温度测定提供了一个有前途的方法.
研究的目的:
- 开发一个先进的数据处理算法,用于高温多谱温度测量.
- 为了提高温度逆转方法的准确性和稳定性.
- 为极端条件提供实时温度测量解决方案.
主要方法:
- 拟议的算法将温度反转问题转化为平等约束的优化问题.
- 它利用了普朗克定律和增强的拉格朗方法 (ALM).
- 引入了一个修改的平衡优化器,为ALM提供了一个强大的初始发射率点,形成了修改的平衡优化器增强的拉格朗方法.
主要成果:
- 使用假设目标,和火箭发动机羽毛的模拟实验验证了算法的有效性.
- 经过修改的平衡优化器增强的拉格朗奇法显示出优于标准ALM的优势.
- 在2219合金上的实际应用实验证实了算法的现实应用.
结论:
- 开发的算法为在线实时多谱高温测量提供了可行和高效的解决方案.
- 它克服了与ALM初始代点相关的局限性.
- 该方法显示了工业应用的巨大潜力,需要精确的高温监测.
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