Electronic polarimetric detection system for optical fiber sensor application

1991 ◽  
Author(s):  
Nicholas L. Brooking ◽  
Luiz C. Guedes Valente ◽  
Liliana R. Kawase ◽  
Jose A. Afonso
2021 ◽  
Vol 39 (2) ◽  
pp. 660-666
Author(s):  
Guomeng Zuo ◽  
Wei Li ◽  
Zhao Yang ◽  
Shiyu Li ◽  
Ruiling Qi ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yani Zheng ◽  
Gaurav Dhiman ◽  
Ashutosh Sharma ◽  
Amit Sharma ◽  
Mohd Asif Shah

The usage of wireless sensors has become widespread for the collection of data for various Internet of Things (IoT) products. Specific wireless sensors use optical fiber technology as transmission media and lightwave signals as carriers, showing the advantages of antielectromagnetic interference, high sensitivity, and strong reliability. Hence, their application in IoT systems becomes a research hotspot. In this article, multiple optical fiber sensors are constructed as an IoT detection system, and a Transmission Control Protocol (TCP)/Internet Protocol (IP) communication stack is used for the sensor module. Furthermore, design of gateway module, data server, and monitoring module is established in order to run the data server in the Windows system and communicate across the network segments. Furthermore, the optical fiber sensor is connected to the development board with WiFi, meanwhile considering the optical fiber wireless network’s congestion problem. The fuzzy logic concept is introduced from the perspective of cache occupancy, and a fiber sensor’s network congestion control algorithm is proposed. In the experiment, the IoT detection system with multiple optical fiber sensors is used for water level detection, and the sensor’s real-time data detected by the User Interface (UI) are consistent with the feedback results. The proposed method is also compared with the SenTCP algorithm and the CODA algorithm, and it was observed that the proposed network congestion control algorithm based on the fuzzy logic can improve network throughput and reduce the network data packet loss.


Sensor Review ◽  
2015 ◽  
Vol 35 (4) ◽  
pp. 382-388 ◽  
Author(s):  
Yage Zhan ◽  
Qiao Yu ◽  
Kun Wang ◽  
Fu Yang ◽  
Borui Zhang

Purpose – The purpose of this paper is to theoretically analyze and experimentally demonstrate the investigation on and optimization of a distributed optical fiber sensor based on phase-sensitive optical time domain reflectometer (F-OTDR) for disturbance detection. Design/methodology/approach – The F-OTDR system is investigated and optimized in two aspects: the hardware parameter and the interrogation scheme. Findings – Based on the optimized hardware and the new interrogation scheme, the performances of the F-OTDR system have been improved greatly, compared with conventional F-OTDR system. A location accuracy of 2 m and a signal-to-noise ratio (SNR) of 16 dB have been achieved under a spatial resolution of 8 m. On the other hand, four disturbances at four different locations have been detected and located simultaneously, which is the most effective detection system with the maximum detection capability reported to date, to the best of the authors’ knowledge. Originality/value – Four disturbances at four different locations have been detected and located simultaneously, which is the most effective detection system with the maximum detection capability reported to date, to the best of the authors’ knowledge. With same hardware conditions, more existing disturbances can be detected by using the new interrogation scheme, which is helpful to reduce the miss report of disturbance.


2020 ◽  
Vol 49 (5) ◽  
pp. 20190446
Author(s):  
安建昌 Jianchang An ◽  
江俊峰 Junfeng Jiang ◽  
徐中原 Zhongyuan Xu ◽  
朱万山 Wanshan Zhu ◽  
王进 Jin Wang ◽  
...  

2018 ◽  
Vol 56 (1) ◽  
pp. 94-99
Author(s):  
N. Sogabe ◽  
S. Nakaue ◽  
K. Chikiri ◽  
M. Hayakawa

2019 ◽  
Vol 5 (0) ◽  
pp. 19-00095-19-00095
Author(s):  
Shogo FUJIMOTO ◽  
Suguru UEMURA ◽  
Nobuyuki IMANISHI ◽  
Shuichiro HIRAI

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