| 引用本文： |
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尚明,蒋泰,李立宪.RFID中间件数据过滤方法研究[J].广西科学院学报,2014,30(1):47-50. [点击复制]
- SHANG Ming,JIANG Tai,LI Li-xian.Research on Data Filtering for RFID Middleware[J].Journal of Guangxi Academy of Sciences,2014,30(1):47-50. [点击复制]
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| 摘要: |
| [目的]探讨对RFID数据冗余、脏读以及漏读数据进行过滤,整理出上层应用所需要的有效事件的方法。[方法]运用基于时间和次数阀值、数据校验、TDS数据解析以及基于伯努利概率的动态时间窗等方法进行研究设计。[结果]提出3种数据过滤器:冗余过滤器用于处理多读数据,平滑过滤器用于处理脏读数据,基于伯努利的动态自适应平滑算法的漏读数据处理器处理漏读数据,将这3种过滤器依次组合,组成数据过滤模型,最终构成数据过滤方法。[结论]运用这3种过滤器组成的数据过滤模型,能够很好的对RFID原始数据进行过滤,获得上层应用所需要的有效事件。 |
| 关键词: RFID中间件 多读数据处理 脏读数据处理 自适应漏读处理 |
| DOI： |
| 投稿时间：2013-11-21修订日期：2013-12-12 |
| 基金项目: |
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| Research on Data Filtering for RFID Middleware |
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SHANG Ming1, JIANG Tai2, LI Li-xian1
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| (1.School of Computer Science and Engineering of Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China;2.Guangxi Hunter Information Industry Co., Ltd., Guilin, Guangxi, 541004, China) |
| Abstract: |
| [Objective] This paper illustrates a data filtering method to filter redundancy data, dirty read and missed readings of RFID middleware and sort out the effective incident for the upper layer system.[Method] A time-based and number-based filter, a CRC and TDS data analysis filter, and a dynamic time window filter based on Bernoulli probability are used to established the method.[Result] Three filters was constructed, which are redundant data filter for more readings, smoothing filter for dirty readings and dynamic time window filter based on Bernoulli model for missed readings. Finally, the three filters were combined and the RFID data filtering method was proposed.[Conclusion] This data filtering is effective in filtering of RFID raw data and obtaining effective incident for the upper layer system. |
| Key words: RFID middleware multiread data processing dirty read data processing adaptive leakage reading process |
