Heterogeneous Convergence Model of Intelligent Perception Network Using Fiber Optic Sensing

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.