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工程设计学报
工程设计学报  2012, Vol. 19 Issue (6): 479-484    
机电一体化和智能化系统设计理论、方法与技术     
嵌入式RFID系统识别率关键因子的分析
 刘亚丽1, 胡圣波1,2, 鄢富玉2
1.贵州师范大学 智能信息处理研究所，贵州 贵阳 550001；
2. 贵州省新技术研究所，贵州 贵阳 550002
Analysis of the key factors for the identification probability in embedded RFID system
 LIU  Ya-Li1, HU  Sheng-Bo1,2, YAN  Fu-Yu2
1. Intelligent Information Processing Research Institute， Guizhou Normal University， Guiyang 550001， China;
2. New Technology Research Institute of Guizhou Province， Guiyang 550002， China
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摘要： 为提高RFID系统识别率，优化设计RFID系统，需要确定影响RFID系统识别率的关键因子.基于关键过程输入变量、关键过程输出变量的模型，提出了一种分析影响RFID系统识别率关键因子的试验设计方法，并确定了关键因子为标签与读写器平面夹角、读写器天线数量、标签与读写器距离.通过测试，分别在标签嵌入汽车轮胎未硫化和硫化两种情况下，进一步确定影响嵌入式RFID系统识别率的各关键因子.最后，应用MINITAB统计软件，采用二项logistic的回归分析方法，分析了各关键因子对识别率的贡献情况.统计分析结果有利于优化设计RFID系统，提高RFID系统识别率.
关键词： RFID;  识别率;  关键过程输入/输出变量;  二项logistic回归分析    
Abstract: To improve the identification probability of RFID systems， optimize and design RFID systems， identifying the key factors that affected the identification probability of RFID systems is needed. Based on the model of key process input variables and key process output variables process， we proposed designing of experiment method to analyze the key factors which affected the identification probability of RFID systems， and then identified the key factors which included the plane angle of the tag and reader， reader antenna number as well as the distance between tag and reader. By testing under the conditions of tag embedded in automobile tires un-vulcanized and vulcanized， we further determined the key factors which affected the identification probability in embedded RFID system. Finally， we adopted binomial logistic regression method to analyze each key factor's contribution to the identification probability by using MINITAB software. The statistical analysis results are beneficial to optimize the design of RFID systems and to improve the identification probability of RFID systems simultaneously．
Key words: RFID    identification probability    key process input/output variables    binomial logistic regression analysis
出版日期: 2012-12-28
基金资助:

科技部国际合作项目(2010DFB14290)；国家物联网发展专项资金项目（2011081）；贵州省贵阳市科技计划项目(筑科合同［2011101］号).
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刘亚丽
胡圣波
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引用本文:

刘亚丽, 胡圣波, 鄢富玉. 嵌入式RFID系统识别率关键因子的分析[J]. 工程设计学报, 2012, 19(6): 479-484.

LIU Ya-Li, HU Sheng-Bo, YAN Fu-Yu. Analysis of the key factors for the identification probability in embedded RFID system. Chinese Journal of Engineering Design, 2012, 19(6): 479-484.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/    或    https://www.zjujournals.com/gcsjxb/CN/Y2012/V19/I6/479

[1] 刘志飞, 王 玲. 多应用环境下超高频RFID标签天线设计[J]. 工程设计学报, 2008, 15(1): 37-40.