震动信号识别传感器系统设计
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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 %.
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 %.
引文
[1]蓝金辉.信号地震动信号的特征提取及识别研究[J].振动与冲击,2001,20(4):42-44.
[2]Liu Zhiyuan,Lee Bingbing.A novel strategy for visual tracking and visual information extraction[C]∥2009 International Conference on Measuring Technology and Mechatronics Automation,Zhangjiajie,Hunan,China,2009:75-78.
[3]Paolo Medagliani,Jérémie Leguay,Gianluigi Ferrari,et al.Energy-efficient mobile target detection in wireless sensor networks with random node deployment and partial coverage[J].Pervasive and Mobile Computing,2012(8):429-447.
[4]何光林,陶斯倩,范红波.基于噪声特征的地震动信号目标预警和识别算法研究[J].北京理工大学学报,2014,34(1):64-67.
[5]李光,余振华,李宝清,等.基于热释电红外传感器车辆和人员分类[J].传感器与微系统,2014,33(12):28-30.
[6]樊新海,安钢.基于Welch法的一种信号识别方法[J].华北工学院测试技术学报,2001,15(1):32-36.
[7]张中民,李贵涛.战场信号声/震侦察与识别[J].火力与指挥控制,2001(2):47-52.
[8]陈志华,张洪涛,陈坤.基于TI处理器的红外图像采集预处理系统的软硬件实现[J].红外,2006,27(7):16-19.
[9]Zhang Jinsong,Walpolaa Malaka,Roelant David,et al.Self-organization of unattended wireless acoustic sensor networks forground target tracking[J].Pervasive and Mobile Computing,2009(5):148-164.
[10]李超.声音识别传感器设计与应用[J].传感器与微系统,2014,34(1):51-53.
[2]Liu Zhiyuan,Lee Bingbing.A novel strategy for visual tracking and visual information extraction[C]∥2009 International Conference on Measuring Technology and Mechatronics Automation,Zhangjiajie,Hunan,China,2009:75-78.
[3]Paolo Medagliani,Jérémie Leguay,Gianluigi Ferrari,et al.Energy-efficient mobile target detection in wireless sensor networks with random node deployment and partial coverage[J].Pervasive and Mobile Computing,2012(8):429-447.
[4]何光林,陶斯倩,范红波.基于噪声特征的地震动信号目标预警和识别算法研究[J].北京理工大学学报,2014,34(1):64-67.
[5]李光,余振华,李宝清,等.基于热释电红外传感器车辆和人员分类[J].传感器与微系统,2014,33(12):28-30.
[6]樊新海,安钢.基于Welch法的一种信号识别方法[J].华北工学院测试技术学报,2001,15(1):32-36.
[7]张中民,李贵涛.战场信号声/震侦察与识别[J].火力与指挥控制,2001(2):47-52.
[8]陈志华,张洪涛,陈坤.基于TI处理器的红外图像采集预处理系统的软硬件实现[J].红外,2006,27(7):16-19.
[9]Zhang Jinsong,Walpolaa Malaka,Roelant David,et al.Self-organization of unattended wireless acoustic sensor networks forground target tracking[J].Pervasive and Mobile Computing,2009(5):148-164.
[10]李超.声音识别传感器设计与应用[J].传感器与微系统,2014,34(1):51-53.
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