Meat individual full-chain traceability method and system based on digital identification

By generating unique feature vectors for individual meat products as 'digital passports' and storing them in the blockchain, the problems of easy forgery and interruption in traditional meat traceability are solved, achieving accurate traceability of individual meat products and the immutability of data, which is suitable for large-scale commercial applications.

CN121581891APending Publication Date: 2026-02-27郭圣峰
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Patent Information

Application Number
CN202511760333.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-27
Publication Date
2026-02-27

AI Technical Summary

Technical Problem

Traditional meat traceability methods are prone to forgery and interruption, making it impossible to achieve precise traceability at the individual level. Furthermore, data stored in a centralized database is at risk of being tampered with, which reduces the credibility of traceability information.

Method used

Multimodal detection is used to generate unique feature vectors for individual meat products as 'digital passports', which are then stored in the blockchain to achieve tamper-proof information recording. The traceability problem is solved by associating and segmenting meat products with digital passports.

Benefits of technology

Ensuring the uniqueness of individual meat samples and the immutability of traceability data enables precise traceability of cut meat products, demonstrating feasibility for large-scale commercial application.

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Abstract

The invention relates to the technical field of food traceability and block chains, and discloses a meat individual full-chain traceability method and system based on digital identification. According to the method, biological characteristics of livestock carcasses are extracted in a slaughtering link to generate unique identifiers, and the unique identifiers are bound with individual information and then are stored on a chain; in the segmentation and circulation link, the part meat and the identifier are associated and recorded; and during tracing, whole chain information of the block chain is called through feature verification or code scanning. According to the method, the problems that traditional traceability is easy to forge and accurate traceability cannot be realized after segmentation are solved, the data cannot be tampered, and the method has large-scale commercial application feasibility.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of food traceability and blockchain technology, in particular to a meat individual whole-chain traceability method and system based on "digital passport". BACKGROUND

[0002] Traditional meat traceability relies on batch-managed two-dimensional codes or RFID tags. These physical identifiers are easily damaged, lost or maliciously replaced, resulting in interrupted or distorted traceability information. More importantly, when meat is divided, it is difficult to accurately associate the divided parts with the original individual, i.e., it is difficult to achieve "individual-level" accurate traceability. In addition, the data of existing traceability systems are mostly stored in centralized databases, which are at risk of being tampered with, reducing the credibility of traceability information. SUMMARY

[0003] The present application aims to provide a meat individual whole-chain traceability method and system based on "digital passport" to solve the problems of easy forgery, easy interruption, inability to associate divided meat, and low data reliability of traditional traceability methods.

[0004] Technical solution: A meat individual whole-chain traceability method based on "digital passport", comprising: S1. In the slaughtering link, multi-modal detection is performed on the carcass of livestock, spectral and texture features are extracted, a simplified feature vector representing the uniqueness of the individual is generated, and then a "digital passport" identifier of the individual is generated; S2. Bind the "digital passport" identifier with the individual information and store it in the blockchain to ensure that the information cannot be tampered with; S3. In the division link, the information of the divided main part meat is associated with the corresponding "digital passport" and recorded; S4. In the circulation link, the "digital passport" of large bulk primal meat can be verified by rapid feature comparison, and the "digital passport" and whole-chain information of pre-packaged meat can be queried by scanning the two-dimensional code.

[0005] Beneficial effects: The present application generates a non-reproducible "digital passport" using the biological characteristics of meat itself, ensuring the uniqueness and authenticity of the identity from the source. The blockchain technology ensures the non-tamperability of the traceability data. The "main passport associated with parts" mode ingeniously solves the traceability problem of divided meat, ensuring traceability accuracy and feasibility for large-scale commercial applications.

Claims

1. A method for full-chain traceability of individual meat products based on a "digital passport," characterized in that, Includes the following steps: In the slaughtering process, a unique digital passport is created for each individual meat sample. The digital passport is generated based on biometric data obtained from non-destructive testing of the individual carcass. The digital passport and its associated individual information are stored on the blockchain network. In subsequent processing and distribution stages, the segmented products or distribution units will be associated with the digital passport, and the association will be recorded on the blockchain; In the traceability process, the characteristics or scanned identifiers of the meat product to be inspected are verified to retrieve the corresponding digital passport and full-chain circulation information on the blockchain.

2. The method according to claim 1, characterized in that, The biometric data is a 64-dimensional feature vector extracted by fusing near-infrared spectroscopy and macro images.

3. The method according to claim 1, characterized in that, The digital passport generates a unique identifier using a hash algorithm.

4. The method according to claim 1, characterized in that, The blockchain network is a consortium blockchain, with nodes including regulatory agencies, slaughterhouses, and large distribution companies.

5. The method according to claim 1, characterized in that, The association of the segmented products is achieved by binding the meat information of the part with the digital passport ID and recording it on the blockchain.