Heterogeneous Convergence Model of Intelligent Perception Network Using Fiber Optic Sensing

Abstract:

Fiber Bragg Grating sensor network plays an important role in the field of large-scale engineering and major equipment condition monitoring and diagnosis. The heterogeneous convergence between FBG sensor network and the Internet constitutes the FBG sensor network of Things which can future expand the network applications range and enhance the condition perception and monitoring capabilities. In this paper, the heterogeneous convergence model between FBG sensor network and the Internet is built. Based on the model, heterogeneous convergence principle and method between FBG sensor network and the Internet is introduced from three layers: perception layer, convergence processing layer and application layer. According to the theory and method, a condition monitoring and fault diagnosis system for the harbor machinery in the WAN environment is presented. The system physical running effect in the working field demonstrates the effectiveness and the rationality of the convergence method.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 684-688
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.684
• Online since: January 2013
• Authors: Fan Zhang, Zu De Zhou, Wen Jun Xu
• Keywords: FBG Intelligent Perception Network, FBG Sensor Network of Things, Heterogeneous Convergence, Internet of Things (IOT), Perception Network

References

[1] Korturm G., Kawsar F., and Fitton D: Smart Objects as Building Blocks for the Internet of Things, IEEE Internet Computing, vol. 14 (2010), pp.44-51.

DOI: 10.1109/mic.2009.143

[2] Guang-jie Han, Maode Ma, Deokjai Choi, and Wontaek Lim: Connecting Sensor Networks with IP using A Configurable Tiny TCP/IP Protocol Stack, The 6th IEEE International Conference on Information, Communications and Signal Processing (IEEE ICICS'07), (2007).

DOI: 10.1109/icics.2007.4449652

[3] Matias IR, Arregui FJ, Corres JM, and Bravo J: Evanescent field fiber-optic sensors for humidity monitoring based on Nano coatings, IEEE Sensor Journal, vol. 1(2007), pp.89-95.

DOI: 10.1109/jsen.2006.886889

[4] Zude Zhou, Quan Liu, Qingsong Ai, Cheng Xu: Intelligent monitoring and diagnosis for modern mechanical equipment based on the integration of embedded technology and FBGS technology, Measurement, vol. 2(2011), pp.1499-1511.

DOI: 10.1016/j.measurement.2011.05.018

[5] Pham, T.B.: A novel FBG interrogation method for potential structural health monitoring applications Sensors, 2011 IEEE(2011), pp.1341-1344.

DOI: 10.1109/icsens.2011.6127256

[6] Filograno, M.L., Daza de Valdes, Corredera Guillen, P.: Real-Time Monitoring of Railway Traffic Using Fiber Bragg Grating Sensors, Sensors Journal, IEEE, vol. 12(2012), pp.85-92.

DOI: 10.1109/jsen.2011.2135848

[7] Tao F, Hu YF, Zhou ZD, Study on manufacturing grid & its resource service optimal-selection system, International Journal of Advanced Manufacturing Technology, vol. 37(2008), p.1022.

DOI: 10.1007/s00170-007-1033-9

[8] Wu Xiaoling, XuHui, Yang Jie, JinsungCho, Connecting heterogeneous sensor networks with IP based wire/wireless networks. Second International Workshop on collaborative computing integration and assurance (SEUS2006), pp.27-28.

DOI: 10.1109/seus-wccia.2006.21

[9] Kun Yang, ShumaoOu, Convergence of Ethernet PON and IEEE 802. 16 Broadband Access Networks and its QoS-Aware Dynamic Bandwidth Allocation Scheme, IEEE Journal on Selected Areas in Communications, vol. 27, no. 2(2009), pp.101-105.

DOI: 10.1109/jsac.2009.090202

[10] Zhenfei Wang,  Kun Yang,  Hunter, D.K.,  Modeling and analysis of convergence of wireless sensor network and passive optical network using queueing theory, Wireless and Mobile Computing, Networking and Communications, 2011 IEEE 7th International Conference on wireless and mobile computing, (2011).

DOI: 10.1109/wimob.2011.6085392