Block chain-based food safety multi-interest subject credit evaluation method

Abstract

The invention provides a block chain-based good safety multi-interest subject credit evaluation method. According to the method, a Hyperledger block chain is taken as a bottom support technology of the credit evaluation method, multi-interest subjects (traders) on food supply chains and supervisors are endowed with different identity authorities, and the traders are endowed with identity anonymityand evaluation result publicity and transparency during the evaluation; and the supervisors collect evaluation information, for transactions, of the multi-interest subjects on the food supply chainsthrough intelligent contracts, carry emotion analysis on the fed back evaluation information by adoption of a deep learning algorithm long and short term memory (LSTM) model, and feed credit evaluation results back to both parties of the transactions. According to the method, the efficiency and correctness of traditional credit evaluation systems are improved and the effectiveness of food safety supervision is enhanced.

Description

technical field [0001] The present invention relates to the field of food safety, in particular to a blockchain-based multi-stakeholder credit evaluation method for food safety. Background technique [0002] The asymmetry of information among multiple stakeholders in the complex food supply chain, such as producers, suppliers, distributors, retailers, and consumers, makes the reliability of data in the food transaction process completely depend on the provider. There may be many unreliable data providers, making it difficult for regulators to collect effective information about transactions in the food supply chain, thus increasing the difficulty of effective supervision. [0003] At present, two-dimensional code technology and radio frequency identification technology RFID are technically introduced into the food supply chain, which can be used to digitally mark entities in food traceability and testing. These existing technologies pay more attention to the management of p...

AI Technical Summary

Problems solved by technology

[0004] The technology of the present invention solves the problem: overcoming the problems of asymmetry of transaction information between multiple stakeholders in the food supply chain and unreliable data provision in the prior art, which lead to weak validity of information collected by regulators and insufficient supervision, and provides a A blockchain-based multi-stakeholder credit evaluation method for food safety, combining blockchain technology and deep learning technology to collect transaction information generated by multi-stakeholders in the food supply chain for food transactions and mutual evaluation information of traders, and adopt LSTM analyzes and generates the credit evaluation of stakeholders. Through the way traders evaluate and feedback transactions, the data obtained by regulators is more objective and effective.

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