基于光纤振动安全预警系统的抗干扰算法研究

Method of Mechanical Vibration Source Identification Based on Fiber Optic Vibration Safety Warning System

光纤传感预警系统在实际应用中,自然界中干扰振源的检测、识别及滤除是降低系统误报率、增强系统实用性的关键因素之一.通过分析光纤预警系统中强风干扰振源和人员攀爬振源的特点,结合光纤振动检测系统的信号传输特性,建立相应的数学模型,提出了基于短时过零率的振源识别新方法,给出了识别的具体实现流程,实现了光纤振动安全预警系统中无害强风干扰的准确检测与识别.结果表明,该算法能有效的识别大风干扰信号和人员攀爬入侵信号,解决现场检测中出现的误报情况.

Optical fiber sensing early warning system adopts the optical fiber cable to detect and identify vibration signals,which is widely used in the pipeline transportation,national defense cable,military base perimeter warning and so on. The detection,identification and filtration of the disturbance source are one of the key factors to reduce the false positive rate and enhance the practicability of the system in application. This paper analyzes the vibration signal characteristics of the gale disturbance source and the personnel scramble invasion vibration source,as well as the signal transmission characteristics of the fiber optic vibration system,sets up the corresponding mathematical model,and raises the method of vibration source self-detection and recognition based on the zero-crossing rate. Experimental and field test results show that this method can effectively identify various testing gale disturbance sources,and has high detection and recognition probability,low false alarm and false identification probability.