Distributed optical fiber vibration sensing system disturbance event identifying and positioning method

Abstract

The invention discloses a distributed optical fiber vibration sensing system disturbance event identifying and positioning method. The method includes the steps that according to the position and the number of peaks with signals exceeding a certain threshold value, the number of the peaks occurring within the scope ranging from deltal / 2 in front of each point to deltal / 2 behind each point in an optical fiber is obtained, whether disturbance events exist or not is judged, and backgrounds are extracted with an amplitude limiting one-order inertia filtering method when the disturbance events do not exist; space-time terminals of the disturbance events are obtained according to the backgrounds when the disturbance events exist, fitting is carried out within the area range to obtain a background event probability density function, Gaussian mixture distribution parameters including the specific gravity, the expectations and the covariance matrix of Gaussian contents of the event peaks including the backgrounds in the area are solved through iteration of the EM algorithm, the parameters, the parameters of the background event probability density function and the total number of the event peaks in the area are fed into a classifier, the disturbance types are judged, and the expectations of the Gaussian contents represent the space positions of the events.

Description

technical field [0001] The invention relates to the technical field of perimeter security, in particular to a method for identifying and locating disturbance events in a distributed optical fiber vibration sensing system. Background technique [0002] With the frequent occurrence of domestic security accidents, the country has paid more and more attention to security issues. In recent years, my country's security industry, especially the perimeter intrusion prevention industry developed later, has also shown a very high growth rate and broad development prospects. In the field of perimeter intrusion prevention, how to develop a more stable and reliable security system, effectively protect the perimeter of sensitive and important areas, and adapt to its high security level and special security requirements has always been a research focus in the industry. Technical difficulties, there is a large market gap. [0003] With the development of optical communication technology, o...

AI Technical Summary

Problems solved by technology

At present, the detection, identification and location of disturbance events mainly use relatively complex algorithms such as wavelet analysis and neural network. However, the computational complexity of wavelet analysis is relatively high, and the neural network needs a lot of training.

Under severe environmental conditions such as strong wind and heavy rain, the false alarm and false negative rate of the existing system are high, and a simple and reliable disturbance event detection and location method needs to be proposed urgently

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