Dynamic label estimation method

Abstract

The invention discloses a dynamic label estimation method, and the method mainly comprises the steps: broadcasting an identification code str64t1 at the moment t1, and a label recording the identification code; at the t2 moment, before reply of the label is received, firstly sending an identification code str64t1 broadcasted at the t1 moment, and if the identification code received by the label isconsistent with the identification code stored before, replying a corresponding signal in the process of communicating with the reader; and after the label determines the replied signal, decoding logic frames corresponding to the known label and the unknown label according to the collected replied signal of the label, and estimating the number of the known label and the unknown label at the sametime according to the logic frames. In order to solve the problem of dynamic label estimation, the number of two kinds of labels is estimated at the same time through decoded logic frames, and time expenditure is greatly saved.

Description

technical field [0001] The invention relates to the application field of RFID technology of the Internet of Things, in particular to a dynamic label estimation method. Background technique [0002] With the development and popularization of RFID technology, RFID has been used in many applications. It has been widely used in logistics management, electronic payment, article anti-counterfeiting, security access control, intelligent transportation, electronic business card, traditional media expansion, fast access, animal and plant management, indoor navigation and other fields. RFID technology refers to a way of using radio waves to identify RFID tags. In the Internet of Things environment, using RFID technology can assign a unique ID to each physical object, and can give a certain computing power to the physical object, so that each The object realizes "passive intelligence". Adhering to the core concept of "things connected" of the Internet of Things, RFID technology has m...

AI Technical Summary

Problems solved by technology

However, the efficiency of this method is relatively low, and it cannot solve the problem of time slot competition (when the lost label and the unknown label select the same time slot), which leads to monitoring failure

In addition, sometimes the specified accuracy requirements cannot be met

Because it needs to know the number of unknown tags at time t1 to set parameters, however, the number of unknown tags cannot be determined before time t2 because the system is continuously changing

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