Food data tracing method based on block chain

Abstract

The invention discloses a food data tracing method based on a block chain. The method comprises the following steps of: a, performing metadata extraction on original data generated in each link of a food industry chain; b, normalizing extracted metadata, and constructing one-to-one mapping between the metadata and the original data so as to construct indexes of the metadata to the original data; c, performing hash function calculation on the original data, and adding a hash value serving as an additional data attribute into the normalized metadata; d, initiating a blockchain transaction for the original data in the step a, and writing the metadata processed in the step c into a blockchain account book; and e, initiating a query request to the blockchain, accessing a database stored by theoriginal data by the blockchain according to the indexes, and returning the related original data. The method has the advantages of high data transmission and access security, more standardized traceability data, smaller data volume in the data traceability process and more efficient operation.

Description

technical field [0001] The invention relates to the technical field of food safety traceability, in particular to a blockchain-based food data traceability method. Background technique [0002] With the development of information technologies such as cloud computing and the Internet of Things, the amount of data generated by the food industry is growing rapidly. These data come from all links in the entire food industry chain, such as agricultural breeding, agricultural product processing, food production, storage, transportation, sales, and consumption. Each link may cause food safety problems, affect food quality, and affect the health and safety of residents. Manage credibility. However, there are problems in current food safety supervision, such as data confusion, redundant management, and difficulty in traceability of food data for full-cycle review. At the same time, because the data itself is easily forged and modified, it is difficult to identify and judge its sour...

AI Technical Summary

Problems solved by technology

However, the current food safety supervision has problems such as data confusion, redundant management, and difficulty in tracing the source of food data full-cycle review.

At the same time, because the data itself is easily forged and modified, it is difficult to identify and judge its source and reliability, which further brings great difficulties to food data traceability

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