Zhexu Huang , Yanhua Luo , Jianxiang Wen , Tingyun Wang , Chengbo Mou , Wei Chen , Shuen Wei , Weiwen Zou , Xiaohong Sun , Asrul Izam Azmi , Gang-Ding Peng
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引用次数: 0
Abstract
To accommodate the growing scale and diverse applications of fibre optic sensing networks, a temperature and curvature sensing system suitable for radiation environment is proposed based on Bi/Er co-doped fibre (BEDF) with offset-core and ultra-broadband emission. First, two sections of BEDFs were employed to construct an ultra-broadband light source and a Mach-Zehnder Interferometer (MZI) for the sensing system, respectively. Then, the sensing performance of the MZI was evaluated through simulations and experiment. Especially, the impact of gamma radiation on sensing characteristics was evaluated by comparing MZI sensors based on irradiated and non-irradiated BEDFs. Both simulations and experiment results confirmed that the sensitivity improved due to an increase of the refractive index for the fibre core of BEDF, attributed to radiation-induced refractive index change. The sensing results indicate that for the irradiated BEDF based sensor, the maximum temperature sensitivity at 1592 nm was up to 90 pm/℃ with an increase of 50 %, while the maximum curvature sensitivity at 1550 nm was 5.66 nm/m−1 with an increase of 226 %, respectively. Such sensitivity enhancement further demonstrates that 50 kGy gamma ray irradiated BEDF had an increase of effective refractive index of 10-3 order. Moreover, the proposed MZI sensing system, featuring a broadband near-infrared emission exceeding 500 nm, exhibits great potential for temperature and curvature detection in the Internet of Things (IoT) and ultra-large-scale sensor networks.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.