A Multi-Band Temperature Measurement Data Retrieval Method Based on the Chaotic Artificial Hummingbird Algorithm (CAHA).

Wenxiang You, Xiaojian Hao, Rui Jia, Pan Pei, Shenxiang Feng, Xining Wang

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Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Wenxiang YouSchool of Instrument and Electronics, North University of China, Taiyuan 030000, China.

Xiaojian HaoSchool of Instrument and Electronics, North University of China, Taiyuan 030000, China.

Rui JiaSchool of Instrument and Electronics, North University of China, Taiyuan 030000, China.

Pan PeiSchool of Instrument and Electronics, North University of China, Taiyuan 030000, China.

Shenxiang FengSchool of Instrument and Electronics, North University of China, Taiyuan 030000, China.

Xining WangSchool of Instrument and Electronics, North University of China, Taiyuan 030000, China.

Funding

Central Guided Local Science and Technology Development Funding Program No.YDZJSX2024D033National Natural Science Foundation of China 52475575Shanxi Provincial Key Research and Development Project 202302150101016State Key Laboratory of Quantum Optics and Quantum Optics Devices KF202301

6 · The paper itself

Abstract

To address the challenges of data processing caused by uncertain emissivity in multispectral radiation thermometry, this paper proposes a temperature retrieval method based on the Chaotic Artificial Hummingbird Algorithm (CAHA). Without relying on an assumed emissivity model, the method can automatically identify the emissivity distribution and selects the optimal output through multiple iterations to enhance accuracy. Simulations and offline tests conducted on rocket nozzles demonstrate that CAHA maintains high accuracy both in noise-free conditions and under 5% noise, with a single execution time of approximately 0.15 s. Furthermore, the method is validated through experiments on blackbody sources and candle flames: the relative error in retrieved temperature for blackbody sources remains below 0.93%, while the retrieved outer flame temperature of candle flames shows a relative error of 0.66% compared with thermocouple measurements. Combining high precision with rapid computation, this method is suitable for practical applications in radiation thermometry.

Indexed as

chaotic artificial hummingbird algorithmmultispectral radiation thermometrytemperature retrieval

Identifiers

PMID41977995

DOI10.3390/s26072210

PMCPMC13075306

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