An Optical Fiber Sensing Network Supporting Weak Optical Signal Detection and a Neural Network Method for Information Collection

被引:1
|
作者
Liu, Keyuan [1 ,2 ]
Li, Haibin [1 ]
Wang, Ya [2 ]
机构
[1] Inner Mongolia Univ Technol, Sci Coll, Hohhot 010051, Inner Mongolia, Peoples R China
[2] China Univ Min & Technol, Yinchuan Coll, Yinchuan 750011, Ningxia, Peoples R China
关键词
Optical Fiber Sensing; Photoelectric Detection; Weak Signals; Data Fusion; BP Neural Network; DESIGN; STRAIN; MODEL; FILM;
D O I
10.1166/jno.2021.2923
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The weak direct current (DC) signals detected and converted by the photodetector are output to the mobile phone by voltage/frequency switching, and the signals are processed by the mobile phone APP and audio conversion module. The photodetector is equipped with the automatic switching function to design an optical power meter and detect weak signals. Meanwhile, the optical cable identification system is analyzed and combined with the optical power meter to generate an optical fiber sensing network to improve the weak alternating current (AC) signal detection. This network needs data fusion in sensor nodes' data collection. The cluster routing protocol is introduced and combined with the back propagation neural network (BPNN) to propose a method suitable for this photoelectric transmission and improve the information fusion and accuracy. In the experiment, the optical power meter is output in gears first, and the output waveforms are normal. The photodiode's optical power is adjusted to obtain different frequencies on the oscilloscope. In the proposed optical fiber sensing network, weak AC signals are amplified significantly, and different optical IP 111 93 14 78 On: Wed, 09 Jun 2021 06:11:50 fiber lines can be distinguished in the optical cables. The proposed information collection method can reduce Copyright: American Scientific Publishers network communication and node energy consumption.
引用
收藏
页码:188 / 195
页数:8
相关论文
共 50 条
  • [31] Optical method and neural network for surface roughness measurement
    Electronic Engineering, Dhahran, Saudi Arabia
    Opt Lasers Eng, 6 (395-409):
  • [32] WEAK MOVING OBJECT DETECTION IN OPTICAL REMOTE SENSING VIDEO WITH MOTION-DRIVE FUSION NETWORK
    Li, Yuxuan
    Jiao, Licheng
    Tang, Xu
    Zhang, Xiangrong
    Zhang, Wenhua
    Gao, Li
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 5476 - 5479
  • [33] An optical method and neural network for surface roughness measurement
    Yilbas, Z
    Hashmi, MSJ
    OPTICS AND LASERS IN ENGINEERING, 1997, 28 (06) : 395 - 409
  • [34] The comparison of the methods of injury evaluation by using optical fiber orthogonal network and neural network
    Wang, HW
    Wu, J
    Li, NJ
    SMART SENSING, PROCESSING, AND INSTRUMENTATION - SMART STRUCTURES AND MATERIALS 1997, 1997, 3042 : 358 - 365
  • [35] Multimode Optical Fiber Network
    Beres-Pawlik, Elzbieta
    Budzyn, Grzegorz
    Lis, Grzegorz
    OPTICAL FIBERS AND THEIR APPLICATIONS 2011, 2011, 8010
  • [36] A light and faster regional convolutional neural network for object detection in optical remote sensing images
    Ding, Peng
    Zhang, Ye
    Deng, Wei-Jian
    Jia, Ping
    Kuijper, Arjan
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 141 : 208 - 218
  • [37] A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images
    Zhang, Chenxiao
    Feng, Yukang
    Hu, Lei
    Tapete, Deodato
    Pan, Li
    Liang, Zheheng
    Cigna, Francesca
    Yue, Peng
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 109
  • [38] Secure Optical Hashing for Information Compression in a Convolutional Neural Network
    Kang, Haoyan
    Solyanik-Gorgone, Maria
    Ye, Jiachi
    Nouri, Behrouz Movahhed
    Wang, Hao
    Dalir, Hamed
    Sorger, Volker J.
    2023 IEEE PHOTONICS CONFERENCE, IPC, 2023,
  • [39] Parallel Neural Network Structures for Signal-to-Noise Ratio Estimation in Optical Fiber Communication Systems
    Al-Nahhal, Mohamed
    Al-Nahhal, Ibrahim
    Dobre, Octavia A.
    Soman, Sunish Kumar Orappanpara
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2024, 42 (06) : 1941 - 1954
  • [40] Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network
    Zhao, Hongduo
    Wu, Difei
    Zeng, Mengyuan
    Tian, Yu
    Ling, Jianming
    CONSTRUCTION AND BUILDING MATERIALS, 2019, 216 : 214 - 226