Node Fault Location Method of FBG Sensor Network Based on Twin Node Auxiliary Sensing

Abstract

The present invention relates to a FBG sensor network node fault location method based on twin node auxiliary sensing, comprising the following steps: step S1: obtaining the original load data of the FBG sensor network; step S2: preprocessing the original load data, and constructing characteristic data Set; Step S3: construct CNN twin node prediction model, and train; Step S4: the CNN twin node prediction model after feature data input training obtains, forecast data set; Step S5: build CNN load location model and train; Step S6: If there is a node failure in the FBG sensor network to be tested, the sensor node value in the corresponding neighborhood is input to the CNN twin node prediction model for its prediction, and the twin node wavelength prediction value is obtained; step S7: according to the normal operation entity node data set and The wavelength prediction value of the twin nodes, and the obtained complete sensing information are input into the CNN load positioning model to realize the detection of the load position. The invention realizes the detection of the load position with higher precision, and further achieves the purpose of fault tolerance.

Description

technical field [0001] The invention relates to the field of optical fiber sensing load positioning, in particular to a FBG sensor network node fault positioning method based on twin node auxiliary sensing. Background technique [0002] With the continuous development of society and economy, various civil constructions, bridges and roads and other basic engineering constructions continue to be carried out and improved, and the structural health monitoring system (Structural Health Monitoring, SHM) is an important part of the infrastructure in these large-scale infrastructures. Reliable operation can provide necessary information for safety assessment of engineering buildings. Due to the characteristics of passive sensing, small size, high sensitivity, strong anti-electromagnetic interference, corrosion resistance and reusability, Fiber Bragg Grating (FBG) sensors are widely used in key structural information in SHM systems. collection. [0003] As the most basic acquisitio...

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Problems solved by technology

Although these methods can also effectively improve the reliability of the network, the use of special topological structures and the addition of additional links will undoubtedly increase the complexity of the network and the cost of laying the system, and at the same time cause a waste of sensing resources. This is not allowed in the application scenarios that require large-scale laying of sensors

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