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

Abstract

The invention discloses a whole-course traceability supervision system for ticket payment flow three-chain cross validation of product safety. The whole-course traceability supervision system utilizesauthoritative credibility of an electronic invoice and takes capital flow and logistics data in a product transaction / circulation process as cross validation means to establish a collaborative data platform of a blockchain electronic invoice chain, a financial payment chain and a logistics supply chain, construct an efficient mode of longitudinal traceability and transverse mutual fusion of the three-link full-flow big data cluster and establish a cross validation calculation model of the three-link full-flow big data cluster, extracts, analyzes and cross-verifies the consistency and authenticity of three-chain collaborative data by using an artificial intelligence technology to construct a security control algorithm model to perform traceability and cross-verification on data cluster information, and can intelligently identify a potential illegal scene to form a reliable three-chain collaborative blockchain security control system. According to the whole-course traceability supervision system, a data channel from a point to a network is broken through by using a block chain technology, and penetration type safety monitoring and scientific and efficient management of food, medicine, 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 supervision system for three-chain cross-verification of product safety in ticket payment flow. 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 product...

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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