摘要
针对目前森林盗伐猖獗,且尚无实时检测盗伐行为的专用设备问题,通过分析森林环境下链锯伐木声音信号强度和频谱特征,设计并实现了一种基于声音识别的森林盗伐传感器。该传感器主要通过传声器对声音信号进行采集,微控制器对声音信号进行处理和特征提取来判别是否发生盗伐行为,由无线通信模块完成状态信息发送。经过测试和现场应用表明:该传感器供电和安装方便,抗干扰能力强,能够准确、实时地识别链锯伐木声音。
Aiming at problem that unlawful cutting of forest becomes more and more rampant at present,and there is no special equipment for real-time detection of such behavior,a sensor based on audio recognition is designed and implemented for unlawful cutting of forest,by analysis on intensity and spectrum characteristics of sound signal.In order to identify whether there is a chain-saw logging behaviour,use microphone for acoustic signal acquisition and micro controller for acoustic signal processing and characteristics extraction.By testing and field application indicate that the sensor is easy to install and power supply,anti-interference performance is high and can identify chain-saw logging sound accurately in real-time.
出处
《传感器与微系统》
CSCD
北大核心
2013年第8期102-104,共3页
Transducer and Microsystem Technologies
基金
重庆市科技攻关计划资助重点资助项目(CSTC2010AA2036)
关键词
森林盗伐
声音识别
传感器
实时
unlawful cutting of forest
audio recognition
sensor
real-time
