摘要
根据FBG传感器的应变、振动和冲击特征,报道了一种基于准分布式FBG传感器的入侵报警系统.首先根据小波降噪原理和小波多尺度边缘检测的方法分别进行降噪和报警信号分割,同时对分割信号分类和特征分析以进行报警判断和识别;其次分析了入侵监测系统的五种报警模式;最后根据LabVIEW开发了入侵报警软件.经过实验证明入侵报警系统能够完成自动、实时报警和报警定位.
Based on the strain, vibration and impact features of fiber Bragg grating （FBG） sensors, a fiberoptic intrusion alarm system using quasi-distributed FBG sensors is developed. Firstly, the wavelet denoising method and wavelet multiscale edge detection are used to decrease signal noise and divide the alarm signal into different-sized segments, respectively. Then a classification and feature analysis of segmented signals are carried out to realize the alarm judgment and recognition. Secondly, five alarm modes are established. Finally, intrusion alarm software based on LabVIEW is developed, it is proved by an experiment that intrusion alarm system has the functions of automatic alarm, real-time, and localization.
出处
《传感技术学报》
CAS
CSCD
北大核心
2007年第5期998-1002,共5页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金重点项目资助(60537040)
