摘要
为了解决人员误入工作中的灭菌室被紫外线照射的问题,设计了一种基于多普勒频移原理的紫外线灭菌室智能监控系统。根据生物的生命体行为特征,提出一种新的生物识别方法,并建立了多普勒频移数学模型。制作了生物识别模块,采用SPCE061A单片机为控制核心搭建验证平台,进行了生物识别试验。试验结果表明,系统最高识别率为99.58%,紫外线灭菌室智能监控系统满足工作要求。
In order to reduce the risk of operators irradiated by the ultraviolet（UV）lamp in sterilization room,an intelligent monitoring system for ultraviolet sterilization room was designed based on Doppler shift.A biological recognition method by feature detection of human body on the move was presented,and the mathematical model of Doppler shift was established. The sample of biological recognition module was produced,and the experimental platform employing SPCE061A microcontroller units（MCU）were developed.The experiments of biological recognition were carried out.The experimental results show that the recognition probability of the intelligent monitoring system can reach 99.58%.This can meet the requirement in actual application.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2009年第12期156-160,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
云南省应用基础研究基金项目(2009ZC041M)
关键词
多普勒频移
超声波
紫外线灯
生物识别
语音识别
Doppler shift
ultrasonic
ultraviolet lamps
biological recognition
speech recognition
