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华南理工大学 机械与汽车工程学院,广东 广州,510641
收稿日期:2009-12-03,
修回日期:2010-03-10,
网络出版日期:2010-08-20,
纸质出版日期:2010-08-20
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黄国健, 刘桂雄, 洪晓斌, 陈铁群. IEEE 1451网络化智能传感器的通用建模方法及应用[J]. 光学精密工程, 2010,18(8): 1914-1921
HUANG Guo-jian, LIU Gui-xiong, HONG Xiao-bin, CHEN Tie-qun. Universal modeling method and application for network intelligent sensors based on IEEE 1451[J]. 光学精密工程, 2010,18(8): 1914-1921
黄国健, 刘桂雄, 洪晓斌, 陈铁群. IEEE 1451网络化智能传感器的通用建模方法及应用[J]. 光学精密工程, 2010,18(8): 1914-1921 DOI: 10.3788/OPE.20101808.1914.
HUANG Guo-jian, LIU Gui-xiong, HONG Xiao-bin, CHEN Tie-qun. Universal modeling method and application for network intelligent sensors based on IEEE 1451[J]. 光学精密工程, 2010,18(8): 1914-1921 DOI: 10.3788/OPE.20101808.1914.
为提高网络化智能传感器的互操作性
在分析IEEE 1451标准传感器的定义和功能需求的基础上
利用统一建模语言(UML)
分别从静态用例建模、动态顺序描述和系统部署3个层面构建了一系列面向网络化测控的通用型智能传感器系统模型
搭建了一款可用于在线检测绝缘子污秽状况的网络化智能传感器。相对于从传感器原型开始开发
该方法减少了60%以上的开发时间。实验结果表明
利用UML统一建模方法可以有效描述基于IEEE 1451标准的网络化智能传感器的简化模型
为后续研制及优化高性能的智能传感器提供理论参考和模型基础。建立的传感器模型具有通用性和可扩展性
能关联不同的物理接口;结合实际需求
可在该模型的基础上快速扩展构建所需的网络化智能传感器
能实现传感器的"即插即用"和实现良好的网络互操作性。
A universal modeling method for network intelligent sensors based on IEEE 1451.0 standard is presented to improve the networking interoperability of intelligent sensors.The universal network intelligent sensor frameworks including static use-case model
dynamic behaviour models and system deployment model are described by using Unified Modeling Language(UML). Then
an insulator contamination status online monitoring sensor is rapidly constructed from these frameworks. Research results indicate that the UML-based modeling method could be used to effectively describe the simplified intelligent sensor model based on IEEE 1451 standards.The model shows well universal and expandable characteristics and can correlate different physical interfaces and realize network interoperability.Moreover
the development time for IEEE 1451-based network intelligent sensors has decreased over 60% as compared with those traditional methods.
LEE K, SONG E Y. UML model for the IEEE 1451.1 Standard . Proceedings of the 20th IEEE Information and Measurement Technology, United States,2003:1587-1592.
LEE K, SONG E.Y. Object-oriented application framework for IEEE 1451.1 standard . Proceedings of the 21st IEEE Instrumentation and Measurement Technology, United States,2004:1182-1187.
SORRIBAS J, DEL RIO J, TRULLOLS E, et al.. A smart sensor architecture for marine sensor networks . International Conference on Networking and Services,Piscataway, New Jersey,United States,2006:1-8.
罗双胜,吴仲城,申飞. 基于IEEE1451.2的机器人传感器接口STIM的设计[J]. 自动化与仪表, 2008(3):37-40.
LUO SH SH, WU ZH CH, SHEN F. Design of robotic sensor interface's STIM based on IEEE1451.2[J]. Automation & Instrumentation,2008(3):37-40. (in Chinese)
MANDA S, GURKAN D. IEEE 1451.0 compatible TEDS creation using .NET framework . 2009 IEEE Sensors Applications Symposium (SAS 2009). New Orleans, LA, USA,2009:281-286.
ROSSI S R, MORENO E D, DE CARVALHO A A, et al.. A VHDL-based protocol controller for NCAP processors[J]. Computer Standards and Interfaces, 2009,31(2):515-522.
Institute of Electrical and Electronics Engineers. IEEE Std1451.0-2007, IEEE standard for a smart transducer interface for sensors and actuators-common functions, communication protocols, and Transducer Electronic Data Sheet (TEDS) formats[S]. New York:Institute of Electrical and Electronics Engineers Inc., 2007.
叶廷东,刘桂雄,黄国健,等. 基于多尺度逼近的多维传感信息解耦方法[J]. 华南理工大学学报(自然科学版), 2009,37(4):86-89,110.
YE T D, LIU G X, HUANG G J, et al.. Novel approach of multi-dimensional sensing information decoupling based on multi-scale approximation[J]. Journal of South China Univ. of Technology (Natural Science Edition), 2009,37(4):86-89,110. (in Chinese)
戴光智,陈铁群,薛家祥,等. 小波图像融合改善超声图像分辨率[J]. 光学精密工程, 2008,16(11):2290-2295.
DAI G ZH, CHEN T Q, XUE J X, et al.. Improvement of resolution for ultrasonic image based on wavelet image fusion [J]. Opt. Precision Eng., 2008,16(11):2290-2295. (in Chinese)
刘桂雄,黄国健,洪晓斌,等. 一种基于多维插值解耦的输电线路运行状态参数的传感方法:中国,CN101393247 . 2008-11.
LIU G X, HUANG G J, HONG X B, et al.. A transmission line running state parameters sensing method based on multi-dimensional interpolation decoupling technology:China,CN101393247 .2008-11. (in Chinese)
刘桂雄,林绪虹. 基于CMAC的图像融合快速算法[J]. 光学精密工程, 2008,16(5):950-956.
LIU G X, LIN X H. Image fusion fast algorithm based on CMAC[J]. Opt. Precision Eng., 2008,16(5):950-956. (in Chinese)
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