Orientation Detection Method Based on Non-Imaging Concentrator System and Hyperparameter Search

The concentrator system is widely used in photovoltaic power generation technology. This letter introduces the concentrator system into orientation detection. It proposes an innovative method combining a non-imaging concentrator system, a data collection electronic system, and a deep residual network(ResNet) algorithm optimized through hyperparameter search. The concentrator system comprises a primary optical element(POE) and a secondary optical element(SOE) array, while the electronic system is built around a PIN photodiode array. Experimental results validate the feasibility of this novel orientation detection method for the first time. This research offers a fresh perspective and technical foundation for orientation detection and identification.

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Publication Details

Journal
IEEE Photonics Technology Letters
Published
2024-11-25
DOI
https://doi.org/10.1109/lpt.2024.3505895
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
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article

Orientation Detection Method Based on Non-Imaging Concentrator System and Hyperparameter Search

Zhanqiang Ru, Qiao Qiu, Tianqi Chen, Fred Wang et al.
IEEE Photonics Technology Letters
Optical Systems and Laser Technology
article

Orientation Detection Method Based on Non-Imaging Concentrator System and Hyperparameter Search

Zhanqiang Ru, Qiao Qiu, Tianqi Chen, Fred Wang, Zhiwei Xie, Shengli Chang
article en

Abstract

The concentrator system is widely used in photovoltaic power generation technology. This letter introduces the concentrator system into orientation detection. It proposes an innovative method combining a non-imaging concentrator system, a data collection electronic system, and a deep residual network(ResNet) algorithm optimized through hyperparameter search. The concentrator system comprises a primary optical element(POE) and a secondary optical element(SOE) array, while the electronic system is built around a PIN photodiode array. Experimental results validate the feasibility of this novel orientation detection method for the first time. This research offers a fresh perspective and technical foundation for orientation detection and identification.

IEEE Photonics Technology LettersVol. 37(1)
Hunan University (CN), Chinese Academy of Sciences (CN), Suzhou Institute of Nano-tech and Nano-bionics (CN)
Openalex Percentile: Top 81%
Optical Systems and Laser Technology
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