A traceability management method for an intelligent rfid aquatic product shelf life prediction device

Abstract

The invention relates to a traceability management method for an intelligent RFID (Radio Frequency Identification Device) aquatic product shelf life prediction device. The intelligent RFID aquatic product shelf life prediction device consists of a front node network and a reader-writer end. After network link is established between the reader-writer end and a front node by constructing a protocol stack, a user can acquire the IPv6 address of the front node through scanning operation so as to generate an IPv6 address list of the front node and establish an IP (Internet Protocol) channel, and a third party or a client can check information needing to be known by logging in aquatic product inquiry and management Web through Internet.

Description

technical field [0001] The invention relates to a traceability management method for network security of an intelligent RFID aquatic product shelf life prediction device, specifically, it belongs to the application field of environmental monitoring technology, embedded technology, wireless radio frequency transceiver technology and Web service technology. Applied in the entire circulation process of aquatic products, it can detect, evaluate and predict the safety status of aquatic products dynamically in real time. Background technique [0002] RFID technology is a wireless communication technology that uses radio frequency signals to conduct non-contact two-way communication, automatically identify target objects and obtain relevant information data. With the advancement of science and technology, RFID has been involved in all aspects of people's daily life, and is widely used in industrial automation, commercial automation, item management, anti-counterfeiting labels and o...

AI Technical Summary

Problems solved by technology

However, the existing RFID readers still have some defects as follows: First, some RFID readers use the radio frequency signal of the receiving node to obtain corresponding data information, but there is no embedded UDP / IP protocol for the design node, so they cannot Realize the connection of the embedded system into the network, which facilitates the acquisition of data through Web services and the timely processing of emergencies; the second is that some RFID readers and front-end nodes use a point-to-point communication mode for information interaction, which can easily obtain nodes The current temperature, time, product name, remaining shelf life and other information, but it is difficult to ensure high efficiency and avoid data collision problems; third, some readers can read relevant information collected by nodes in a timely manner, and nodes also store information , but failed to build an embedded UDP / IP protocol on the front-end node and the reader-writer end, making data independent, fast prediction, and perfect management, so that the reader-writer end, front-end, and third-party programs can be accessed through addresses Information interaction in the form of information, which is convenient for users to query and monitor in real time, and provides great technical support for real traceability management

[0003] At present, many shelf life indicators use serial ports to communicate with the host computer. The temperature sensor collects information, and the microprocessor stores the collected data in the expansion storage module. When these data are needed, the serial port can be used to transmit the data to the host computer. However, Management model without embedded web services

[0004] The current product safety management mainly advocates the product safety traceability management technology with barcode and RFID tags as the core, which mainly solves the problems of product information traceability and source control. Product safety issues caused by the decline in product quality

Different monitoring elements in each link in the product chain lead to the fact that the traditional product security monitoring network based on private communication protocols cannot meet the needs of distributed and heterogeneous product security monitoring networks

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