High-Speed and High-Precision Wavelength Demodulation of Fiber Bragg Grating Sensor Network
Through the technologies of wavelength division multiplex and time division multiplex, fiber Bragg grating (FBG) sensor network was built. Based on System on Programmable Chip technology and fiber comb filter, a high-speed and high-precision wavelength de
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High-Speed and High-Precision Wavelength Demodulation of Fiber Bragg Grating Sensor Network Junjie Bai, Jianxing Li, Ying Wu and Xiaoyun Zhang
Abstract Through the technologies of wavelength division multiplex and time division multiplex, fiber Bragg grating (FBG) sensor network was built. Based on System on Programmable Chip technology and fiber comb filter, a high-speed and high-precision wavelength demodulation scheme of FBG sensor network was proposed. The optical system and hardware circuit for demodulation system were designed specifically. To improve the accuracy of demodulation system of FBG, a constant temperature channel of the demodulation system connected with a fiber comb filter, which offered reference points to calibrate the Bragg grating center wavelength. Based on 32-bit soft-core processor NoisII, the embedded system collected and processed the photoelectric signal voltage transformed to rectangular voltage pulse. The upper computer displayed dynamically the FBG wavelength demodulation process and calibrated the Bragg grating center wavelength. The experiment results of wavelength demodulation and calibration show that, the wavelength demodulation system has many advantages, such as flexibility, stabilization, easy maintenance, high-speed, high-precision, and so on. The wavelength demodulation precision is ±2 pm. Keywords Fiber bragg grating NoisII Fiber comb filter
Wavelength demodulation and calibration
J. Bai (&) Y. Wu X. Zhang College of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China e-mail: [email protected] J. Bai College of Instrument Science and Engineering, Southeast University, Nanjing 210096, China J. Li Department of Electronic Information and Electrical Engineering, Fujian University of Technology, Fuzhou 350108, China
Z. Zhong (ed.), Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012, Lecture Notes in Electrical Engineering 219, DOI: 10.1007/978-1-4471-4853-1_53, Ó Springer-Verlag London 2013
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53.1 Introduction Fiber Bragg grating (FBG) has a lot of advantages, such as small size, light weight, easy to be integrated, immunity to electromagnetic interference, sensing information with wavelength encoding, easy to build a distributed sensor network, remote monitoring, and so on [1, 2]. Tens to hundreds of FBGs can be connected in FBG sensor network. Distributed FBG sensing system can detect multi-point signals along a 100 km-long optical fiber connected with FBG sensors, which is especially suitable for the fields of civil engineering or petroleum and petrochemical industry, measuring strains, temperatures, etc. [3–5]. However, how to measure speed and precisely the picometer-level resonant wavelength shift of FBG is the key to realize the industrialization of FBG sensing technology. Based on embedded processors, such as MCU, DSP, and ARM, some wavelength demodulation systems were designed, and the unknown FBG wavelength was calibr
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