The application of the MC-ACPSO algorithm in data fitting for a six-wavelength surface temperature measurement system

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology Pub Date : 2025-08-26 DOI:10.1016/j.infrared.2025.106109

Haoyu Wu , Sen Yang , Wenjie Zhao , Jingmin Dai

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Abstract

In order to improve the data fitting accuracy of the six-wavelength surface temperature measurement system, this paper proposes a data fitting method based on the multi-cluster collaborative adaptive chaotic particle swarm optimization (MC-ACPSO) algorithm. By introducing the multi-cluster collaboration mechanism, chaotic perturbation theory and adaptive parameter tuning strategy, the global search capability and convergence efficiency of the traditional particle swarm optimization (PSO) are enhanced, which in turn improves the fitting accuracy. The superiority of the new algorithm module over the standard PSO algorithm in terms of fitting performance is verified by ablation experiments. Comparison experiments of different fitting algorithms show that the MC-ACPSO algorithm has a coefficient of determination R² of 0.992 and a maximum absolute error of only 0.193, which can be improved by at least 89.86 % and 64.44 % compared with the traditional algorithms MSE and RMSE, respectively. This study provides an effective scheme for data fitting performance improvement of multi-wavelength surface temperature measurement system.

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MC-ACPSO算法在六波长表面温度测量系统数据拟合中的应用

为了提高六波长表面温度测量系统的数据拟合精度，提出了一种基于多聚类协同自适应混沌粒子群优化（MC-ACPSO）算法的数据拟合方法。通过引入多簇协作机制、混沌摄动理论和自适应参数调整策略，增强了传统粒子群算法的全局搜索能力和收敛效率，从而提高了拟合精度。通过烧蚀实验验证了新算法模块在拟合性能上优于标准粒子群算法。不同拟合算法的对比实验表明，MC-ACPSO算法的决定系数R2为0.992，最大绝对误差仅为0.193，比传统算法MSE和RMSE分别提高了89.86%和64.44%。本研究为提高多波长表面温度测量系统的数据拟合性能提供了一种有效的方案。

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来源期刊

Infrared Physics & Technology 物理-光学

CiteScore

5.70

自引率

12.10%

发文量

400

审稿时长

67 days

期刊介绍： The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region. Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine. Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.