摘要
提出一种基于互联网的通用远程校准平台,给出此类平台的设计原则。借助物流将传递单元发送到客户现场,通过互联网与校准实验室主机通信,实现远程校准。核心部分为互联网模块,能够连接标准仪器与互联网,传输指令、数据和音/视频。借助图像字符识别技术获取被校仪器数据,从而摆脱物理接口和特定仪器指令集的束缚,最大程度地实现了平台的通用性。校准不确定度取决于时间同步准确度和字符识别的正确率。采用平方同步算法与GPS时钟同步,修正后计时准确度达到亚微秒量级。提出以边缘分布函数作为图像字符的特征函数,并采用成熟的BP神经元网络作为分类器,将识别错误率降到最低。
This paper proposes a general tele-calibration platform based on Internet as well as presents the design principle of such a platform.A transport unit is sent to customer site where the unit communicates with host in calibration laboratory to perform tele-calibration.The key part of the platform is the Internet module,which links the standards and Internet,transmits control instructions,data and video/audio stream.Using character recognition to acquire data and get rid of the constraint of physical interface and specific instruction set,great universality is achieved.The calibration uncertainty is determined by the accuracy of time synchronization and character recognition.Quadratic synchronization algorithm is adopted to synchronize to GPS clock,and the local clock achieves an accuracy of sub-micro second.The character recognition algorithm is based on marginal distribution functions,which are used as characteristic functions.The well studied BP neural network is used as the classifier and very low error rate is achieved.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2011年第4期932-940,共9页
Chinese Journal of Scientific Instrument
关键词
远程校准
现场校准
互联网
时间同步
字符识别
tele-calibration
field calibration
Internet
time synchronization
character recognition
