Fence intrusion identification method for fiber fence security protection system

Abstract

The invention discloses a fence intrusion identification method for a fiber fence security protection system. The fence intrusion identification method comprises the steps of: measuring and storing fiber fence vibration signals; intercepting a fiber vibration abnormal signal block greater than threshold value parameters by adopting a zero-crossing rate threshold method; then calculating five groups of characteristic parameters of the fiber vibration abnormal signal block; and finally, training the characteristic parameters by adopting an artificial neural network method, so as to identify an unknown security intrusion vibration signal. According to the fence intrusion identification method, two levels of intrusion behavior identification mechanisms are used in the fiber fence security protection system, namely, a vibration abnormal event is intercepted firstly, and then abnormal event data is subjected to artificial network identification, thereby avoiding calculation of intelligent identification of vibration normal data segments, making the fence security intrusion identification event identification process more targeted, and improving the operation efficiency of a fiber fence intrusion alarm system. In addition, the fence intrusion identification method can effectively reduce the interference of heavy rain and strong winds on the fence security intrusion identification, and distinguish the main intrusion events of the fence precisely.

Description

technical field [0001] The invention relates to the field of fiber optic fence security, in particular to a fence intrusion identification method used in a fiber optic fence security system. Background technique [0002] The fiber optic fence uses fiber optic vibration as the sensing object, which has many advantages such as wide monitoring range, high sensitivity, good environmental adaptability, and strong anti-interference ability, and is widely used in the security field. [0003] The working principle of the fiber optic fence security alarm system is: when the fence intrusion occurs (such as climbing, trampling, shaking, squeezing, etc.), the fiber optics on the fence can generate tiny vibrations; Acquisition, combined with advanced signal processing and pattern recognition methods, identifies fence intrusion behaviors, and reports intrusion alarm information (including alarm location, alarm type, duration, etc.) to the security management system in real time and reliab...

AI Technical Summary

Problems solved by technology

[0004] Most existing fiber optic fence security systems rely on energy thresholds or zero-crossing rate thresholds to identify intrusion events, which better solves the problem of intrusion behavior alarms, but it cannot accurately identify specific intrusion behaviors such as kicking and climbing

At the same time, optical fiber vibrations in harsh natural environments such as heavy storms are also easily identified as intrusions, resulting in a large number of false alarms

[0005] Although the fiber optic fence security system with pattern recognition function can accurately identify specific behavior events of fence intrusion, the system has a lot of redundant calculations, that is, it performs pattern recognition processing on all fiber optic vibration signals, and lacks the distinction between normal vibration data and abnormal data. , resulting in a large amount of data processing in the fiber optic fence security system

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