摘要
由于分布式光纤传感器存在灵敏度高、监测范围广、抗干扰性高的优势,所以被大量使用在边境、电场等周界安防地区。提出一种基于光纤入侵信号检测的安防系统信号分级识别算法,首先采用光纤周界安防入侵信号检测算法,检测光纤周界安防系统入侵振动信号,然后基于检测的光纤入侵振动信号,采用基于应激反应过程的光纤入侵振动信号分级识别算法,实现安防系统信号分级识别。研究结果表明:所提算法对敲击振动信号(入侵振动信号)的分级识别精度均值是0.98,对人员攀爬振动信号(入侵振动信号)、暴雨振动信号(非入侵振动信号)进行振动信号属性识别时,平均识别误差均是0.01,对持续性入侵与非持续性入侵识别精度高于98%,具有较高的普适性。
Due to the advantages of high sensitivity,wide monitoring range and high anti-interference,the distributed fiber optic sensors are widely used in border,electric field and other perimeter security areas.A kind of security system signal classification and recognition algorithm based on optical fiber intrusion signal detection is proposed.Firstly,using optical fiber perimeter security intrusion signal detection algorithm,the invasion vibration signal of optical fiber perimeter security system is detected.Then based on the detection of optical fiber vibration signals,the security system signal classification recognition is achieved based on the stress reaction process of fiber optic invasion of vibration signal classification and recognition algorithm.The research results show that the proposed algorithm to knock vibration signal(invasion of vibration signal)the average classification accuracy is 0.98.When the personnel climbing vibration signal(invasion of vibration signal),the heavy rain vibration signal(non-invasive vibration signal)are used to recognize the vibration signal properties,the average recognition error is 0.01,the continuous and discontinuous invasions accuracies are higher than 98%,which has the high universality.
作者
任孝锋
REN Xiaofeng(School of Information and Mechatronics Engineering,Zhengzhou Business University,Gongyi Henan 451200,China)
出处
《激光杂志》
北大核心
2020年第7期162-166,共5页
Laser Journal
基金
国家自然科学基金(No.51805491)。
关键词
光纤
入侵信号
安防系统
信号
分级
识别
optical fiber
intrusion signal
security system
signal
classification
recognition
