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作 者:李波瑶 梁瑶瑶 谢仲业 左小杰 孙敬华 Boyao Li;Yaoyao Liang;Zhongye Xie;Xiaojie Zuo;Jinghua Sun(School of Electronic Engineering and Intelligentization,Dongguan University of Technology,Dongguan 523808,China;Centre de Nanosciences et de Nanotechnologies,CNRS,UniversitéParis-Saclay,C2N,91120 Palaiseau,France)
机构地区:[1]School of Electronic Engineering and Intelligentization,Dongguan University of Technology,Dongguan 523808,China [2]Centre de Nanosciences et de Nanotechnologies,CNRS,UniversitéParis-Saclay,C2N,91120 Palaiseau,France
出 处:《Chinese Optics Letters》2023年第12期92-96,共5页中国光学快报(英文版)
基 金:supported by the Basic and Applied Basic Research Foundation of Guangdong Province(No.2022A1515110480);the National Natural Science Foundation of China(No.62205057);the Dongguan Science and Technology of Social Development Program(No.20231800903222).
摘 要:A multi-direction bending sensor based on spot pattern demodulation of a dual-hole fiber(DHF)is proposed.By using the interference and scattering in a DHF,the related multidirectional variations can be captured by the optical field.Furthermore,the multi-directional bending characteristics of the fiber are quantitatively described by the pattern of the output light spot,achieving multidirectional bending sensing.In addition,considering the subtle changes in the deformation patterns over time,a convolutional neural network(CNN)model based on deep learning is introduced for accurate recognition and prediction of the bending angle.The experimental results show that the sensor can perceive different bending angles in four directions.These outstanding results indicate that the multi-directional bending sensor based on dual-hole interference pattern decoding has potential applications in multi-directional quantitative sensing and artificial intelligence perception.
关 键 词:microstructured optical fiber fiber device bending sensor
分 类 号:TN253[电子电信—物理电子学] TP212[自动化与计算机技术—检测技术与自动化装置]
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