摘要
设计了一种具有信号识别功能的震动传感器,用于监测地面运动引起的信号,实现安防区域24h无人监控。系统利用处理器实现信号识别算法,通过无线芯片将识别结果发送给数据控制系统中心,实现传感器信号识别和信息传输功能。实验测试结果表明:该系统能够在3 s内有效地对25 m距离内的人和车辆信号进行识别,正确识别率达96%;在10 s内对100 m距离内的轮式车和履带式车识别,正确识别率达90%。
For monitoring on signal caused by ground motion, realize 24 hours unattended monitoring on security area, design a kind of vibration sensor with signal recognition function. The system uses processor to realize signal recognition algorithm, through wireless chip transmit results to data control system center to realize sensor signal recognition and information transmission function. Experimental results show that this system can effectively recognize people and vehicles signals within 25 m in 3 s, correct recognition rate is 96 % ;for wheeled and tracked vehicle within 100 m in 10 s,it is 90 %.
出处
《传感器与微系统》
CSCD
2015年第5期79-81,84,共4页
Transducer and Microsystem Technologies
关键词
震动信号
BP神经网络
模式识别
传感器
vibration signal
BP neural network
pattern recognition
sensor
作者简介
李冰冰（1980-），女，黑龙江哈尔滨人，工程师，从事传感器技术、模式识别等研究工作。
