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RFID (radio frequency identification) dataflow multi-tag cleaning method based on sliding windows

A sliding window and multi-label technology, which is applied in the direction of instruments, inductive record carriers, computer components, etc., can solve the problems of unreliable data flow, etc., and achieve the effects of low power consumption, long life, good integrity and dynamic performance

Active Publication Date: 2012-06-20
南京华清智能科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the data stream generated by the RFID reader is unreliable, which causes the original RFID data stream to be useless for high-level applications, and proposes a sliding window-based RFID data stream multi-label cleaning method, Can effectively improve the reliability, integrity and dynamics of RFID data

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  • RFID (radio frequency identification) dataflow multi-tag cleaning method based on sliding windows
  • RFID (radio frequency identification) dataflow multi-tag cleaning method based on sliding windows
  • RFID (radio frequency identification) dataflow multi-tag cleaning method based on sliding windows

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] Such as figure 1 As shown, an adaptive window smoothing method suitable for a single label method determines the value of the maximum event interval evInterval by analyzing the average reading interval avgInterval of all EPC events in the past period of time, through a window scaling factor scaleFactor To determine the speed at which the maximum event interval evInterval approaches the average read interval avgInterval, a precision factor precisionFactor is used to determine the value of the sliding window size evTimeout.

[0041] a ) avgInterval = duration × sum ( EPC ) Σevent

[0042] duration indicates the length of the time period of the data to...

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Abstract

An RFID (radio frequency identification) dataflow multi-tag cleaning method based on sliding windows analyzes the average reading interval (avgInterval) of all EPC (electronic product code) events within a past period of time to decide the value of the maximum event interval (evInterval), decides the approaching speed of the maximum event interval (evInterval) to the average reading interval (avgInterval) through a window scale factor (scaleFactor), decides the value of the sliding window size (evTimeout) through a precision influence factor (precisionFactor), and is also applicable for the cleaning of multiple tags if the tags don't conflict with one another. The method reduces and solves the problem of unreliable RFID data, has better integrity and dynamics, and can be more effective in real-time information processing and tracking in the future.

Description

technical field [0001] The present invention relates to RFID tag technology, that is, radio frequency identification, which is a non-contact automatic identification technology, especially a method for automatically identifying target objects and obtaining relevant data through radio frequency signals, specifically a sliding window-based RFID data flow Multi-label cleaning method. The identification work does not require manual intervention and can work in various harsh environments. RFID technology can identify high-speed moving objects and can identify multiple tags at the same time, and the operation is fast and convenient. RFID tags have the characteristics of low cost, long life, not afraid of pollution, and adapt to harsh environments. They are expected to replace the currently popular barcodes in the future, specifically a sliding window-based multi-label cleaning method for RFID data streams. Background technique [0002] At present, RFID technology has been widely...

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Application Information

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IPC IPC(8): G06K7/00
Inventor 戚湧李千目谢新侯君
Owner 南京华清智能科技有限公司
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