Vibration model establishment method applied to fiber sensing system

Abstract

The invention provides a vibration model establishment method applied to a fiber sensing system. The method comprises steps that a vibration signal is adjusted through a fiber vibrator into a fiber interference signal which is outputted, intensity and the period of the output signal are utilized in combination with the signal generation time and a signal generation distance, a signal state graph is established through taking a distance between the fiber position and a fiber start point as a first coordinate axis and the time as a second coordinate axis; signal state graphs under different conditions are acquired to carry out manual label marking for the data, the data information including manual marking labels and the signal state graphs is inputted to a convolutional neural network model to carry out image identification and CNN training, and a vibration model applied to the fiber sensing system is acquired; image identification and CNN training of the convolutional neural network model comprise two stages, including forward propagation and backward propagation. The method has advantages of high identification rate, good identification accuracy and strong identification capability.

Description

technical field [0001] The invention belongs to the technical field of optical fiber sensing, and in particular relates to a method for establishing a vibration model applied to an optical fiber sensing system. Background technique [0002] With the rapid development of society, remote monitoring and protection of some important areas have become more and more important, such as airports, oil pipelines, military bases, nuclear power plants, prisons, banks, etc. The fiber optic vibration safety early warning system can collect various vibration signals around these important areas, and by analyzing the characteristics of the surrounding vibration signals, the type of vibration source can be obtained. If a vibration source harmful to the area is detected, early warning can be given in time and a hazard event can be reported. The specific location of the system can achieve real-time protection of important areas or areas around them and reduce property losses. The optical fibe...

AI Technical Summary

Problems solved by technology

[0003] 1. The current recognition algorithm has a low recognition rate and cannot perform effective recognition

[0004] 2. In a noisy environment, the recognition rate drops significantly, and accurate recognition cannot be performed

[0005] 3. The farther the fiber distance is, the lower the vibration intensity of the collected data will be, and the recognition result will drop significantly

[0006] 4. The model is relatively simple and cannot handle more complex recognition problems

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