Whole-course traceability supervision method for ticket payment flow three-chain cross validation of product safety

Abstract

The invention discloses a whole-course traceability supervision method for ticket payment flow three-chain cross validation of the product safety. The authoritative credibility of an electronic invoice is utilized, capital flow and logistics data in a product transaction / circulation process are used as cross validation means, a collaborative data platform of a block chain electronic invoice chain,a financial payment chain and a logistics supply chain is established, an efficient mode of longitudinal traceability and transverse mutual fusion of a three-link full-flow big data cluster is constructed, a cross validation calculation model of the three-link full-flow big data cluster is established, the consistency and authenticity of three-chain collaborative data are extracted, analyzed andcross-verified by using an artificial intelligence technology, a security control algorithm model is constructed, traceability and cross-verification are performed on data cluster information, and a potential illegal scene is intelligently identified to form a reliable three-chain collaborative block chain security control system. A data channel from a point to a network is broken through by usinga block chain technology, and penetration type safety monitoring and scientific and efficient management of foods, medicines, dangerous products and other products are realized.

Description

technical field [0001] The invention belongs to the technical field of safety management, and in particular relates to a whole-process traceability and supervision method for three-chain cross-validation of ticket payment flow and product safety. Background technique [0002] The quality, safety and effective supervision of food, medicine and dangerous goods are major issues related to the national economy and people's livelihood. However, major safety accidents represented by melamine, Changchun Changsheng vaccine, and Tianjin Port dangerous goods explosion occurred from time to time, which seriously damaged the people's life, health, life and property safety. [0003] Although the national food and drug regulatory department has adopted safety supervision measures such as "requiring enterprises to install electronic eyes" and "rewarding employees in the industry with high rewards", the national emergency management department requires dangerous goods to have a unified prod...

AI Technical Summary

Problems solved by technology

However, major safety accidents represented by melamine, Changchun Changsheng vaccine, and Tianjin Port dangerous goods explosion occurred from time to time, which seriously damaged the people's life, health, life and property safety.

[0003] Although the national food and drug regulatory department has adopted safety supervision measures such as "requiring enterprises to install electronic eyes" and "rewarding employees in the industry with high rewards", the national emergency management department requires dangerous goods to have a unified production plan and strict management rules and regulations, but food, Medicines, dangerous products and other products have a large scale and a complicated system, and it is far from enough to rely on the supervision of relevant departments and society

[0004] Traditional anti-counterfeiting (trademarks, barcodes, QR codes, etc.) information storage is in the form of a centralized database. The data is completely generated by the anti-counterfeiting company. The technical threshold and counterfeiting cost are low. The stored information is easy to be forged, copied, and tampered with. Fundamentally distinguish the authenticity of data in each link of product production, circulation, and use, so it is difficult to effectively prevent and pursue accountability for quality / safety accidents in food, medicine, and dangerous goods

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