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.
{"title":"Orientation Detection Method Based on Non-Imaging Concentrator System and Hyperparameter Search","authors":"Tianqi Chen;Zhiwei Xie;Qiao Qiu;Zhanqiang Ru;Fei Wang;Shengli Chang","doi":"10.1109/LPT.2024.3505895","DOIUrl":"https://doi.org/10.1109/LPT.2024.3505895","url":null,"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.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 1","pages":"25-28"},"PeriodicalIF":2.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-22DOI: 10.1109/LPT.2024.3504850
Tongqun Zhang;Xiaozhong Tian;Lanju Liang;Minghong Wang;Dianguo Ma;Jintao Wu;Yunquan Sun;Junbao Wang
In this letter, we propose and experimentally demonstrate an approach to performing high-resolution and temperature-insensitive idea of a Fabry-Perot interferometer (FPI) curvature sensor utilizing microwave photonic filter (MPF) technique. A section of the capillary fiber is spliced between a single-mode fiber and a core-less fiber to form the air-gap FPI. The bending deformation of the FPI leads to changes in the fringe visibility (V) and free spectral range (FSR) of the interference pattern, which are converted into the changes in peak power and central frequency of the corresponding MPF. Consequently, the bending curvature can be recovered by tracking the frequency shift or the magnitude change. The experimental results show that the peak of the MPF decreases non-linearly with the increased curvature and a second-degree polynomial curve is fitted to predict the relationship. Compared with the fringe visibility change in optical domain, the peak power change of the MPF is enhanced by ~5 times. Meanwhile, the wavelength shift has a linear relationship with the curvature, and the sensitivity of 19.5 pm/m−1 is achieved in the curvature range of 3.3065-9.0552 m $^{mathrm {-1}}$