CN110930171A - Whole-process traceability monitoring system for ticket payment flow three-chain cross verification product security - Google Patents
Whole-process traceability monitoring system for ticket payment flow three-chain cross verification product security Download PDFInfo
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Abstract
The invention discloses a whole-process traceability monitoring system for verifying product security by ticket payment flow three-chain cross, which uses authoritative public credibility of electronic invoices, takes fund flow and logistics data of product transaction/circulation process as cross verification means, establishes a collaborative data platform of a block-chain electronic invoice chain, a financial payment chain and a logistics supply chain, establishes a high-efficiency mode of longitudinal traceability and transverse interoperability of a three-chain whole-process big data cluster, establishes a cross verification calculation model of the three-chain whole-process big data cluster, extracts, analyzes and cross verifies consistency and authenticity of three-chain collaborative data by using an artificial intelligence technology, establishes a security management and control algorithm model, conducts traceability and cross verification on data cluster information, and intelligently identifies potential illegal scenes to form a reliable three-chain collaborative block chain security management and control system. The invention utilizes the block chain technology to get through the data channel from point to network, thus realizing the penetrating safety monitoring and scientific and efficient management of food, medicine, dangerous products and the like.
Description
Technical Field
The invention belongs to the technical field of safety management, and particularly relates to a whole-process traceability monitoring system for ticket payment flow three-chain cross verification of product safety.
Background
The quality safety and effective supervision of food, medicine and dangerous goods are great matters about the national civilization. However, the great safety accidents represented by melamine, the vinca vaccine and the Tianjin harbor dangerous goods explosion accident occur occasionally, and the life health and the life and property safety of the people are seriously damaged.
Although the national food and drug administration has adopted safety supervision measures such as 'requiring enterprises to install electronic eyes', 'requiring high-volume reward of reporting of employees in the industry' and the like, and the national emergency management department requires that dangerous goods have a regulation and regulation system with unified production planning and strict management, the products such as food, drugs, dangers and the like are large in scale and complex in system, and supervision of related departments and society is far from sufficient.
The information storage of the traditional anti-counterfeiting (trademark, bar code, two-dimensional code and the like) mode adopts a centralized database form, data is completely generated by an anti-counterfeiting company, the technical threshold and the counterfeiting cost are low, the stored information is easy to forge, copy and tamper, the authenticity of the data in each link of production, circulation, use and the like of products cannot be fundamentally distinguished, and therefore the effective prevention and accountability of the quality/safety accidents of foods, medicines and dangerous goods are difficult to realize.
The block chain is used as a technical tool, a centralized, non-tampering and traceable accounting mode is provided, and data tracing responsibility can be guaranteed by virtue of the technical advantages of data safety and non-tampering. If the multi-chain related data are subjected to cross validation, the consistency and the authenticity of the cooperative data can be distinguished, and the 'counterfeit removal and truthfulness' of the data on the chain can be really realized.
If the blockchain is used as a bottom layer technology, aiming at the quality safety and effective supervision problems of food, medicines and dangerous goods, a plurality of longitudinally-traceable and transversely-mutually-fused cooperative data chains are established, the consistency and the authenticity of the cooperative data on the chains are extracted, analyzed and cross verified by using an artificial intelligence technology, potential illegal scenes are intelligently identified, the effective supervision of the quality safety of the food, the medicines and the dangerous goods is realized, and the life health and the life and property safety of the nation are guaranteed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a whole-course traceability monitoring system for the safety of a ticket/payment flow three-chain cross verification product, which takes the information flow and the logistics data as cross verification means by means of the authoritative public credibility of an electronic invoice and utilizes the technical characteristics of centralization, non-tampering and traceability of a block chain to get through a data channel from a point to a network, so that the related data of the ticket/payment/flow three-chain is longitudinally traceable and transversely mutually fused, and cross verification and artificial intelligence analysis are carried out, thereby realizing the penetrating safety monitoring and scientific and efficient management of food, medicines and dangerous goods.
A whole-course traceability monitoring system for ticket payment flow three-chain cross validation product security comprises a block chain bottom layer data platform, three sub-chains which are connected with the block chain bottom layer data platform and are isolated from each other: electronic invoice chains, financial payment chains and logistics supply chains;
the electronic invoice chain records data information of an electronic invoice of a product, uploads the data information to a block chain bottom layer data platform for inquiry, tracing and analysis, and is provided with a common node and a supervision node, wherein the common node has the authority of reading data on the electronic invoice chain;
the financial payment chain inputs data information of payment of products, uploads the data information to a block chain bottom layer data platform for inquiry, tracing and analysis, and is provided with a common node and a supervision node, wherein the common node has the authority of reading data in the financial payment chain;
the logistics supply chain records logistics data information of products, uploads the logistics data information to a block chain bottom layer data platform for inquiry, tracing and analysis, and is provided with a common node and a supervision node, wherein the common node has a data reading authority on the logistics supply chain;
the supervision nodes on the three sub-chains have the highest authority, the data of the three sub-chains are communicated transversely by using a cross-chain technology, all data information on the three sub-chains can be read, and a cross-chain fused three-chain cooperative data group is formed.
On the basis of the scheme, the system further comprises an RFID system, wherein an electronic tag of the RFID system is arranged on the supervision product and used for storing time, geography and transaction information of logistics of the product and uploading the information to a block chain bottom layer data platform.
On the basis of the scheme, the data information of the electronic invoice of the product recorded by the electronic invoice chain comprises the unit, amount and time information of the invoice.
On the basis of the scheme, the data information of the payment of the products input by the financial payment chain comprises information of a payment user, a payment mode, a payment amount and payment time.
On the basis of the scheme, the system also comprises an authenticity verification module,
the authenticity verification module analyzes and processes the whole flow big data of the three sub-chains by utilizing artificial intelligence and machine learning technology,
by establishing an automatic algorithm model, data information designed by the same object on the three sub-chains is extracted, the amount, time and place of a payment bill, a logistics bill and an electronic invoice are automatically compared, the logical consistency of the time stamp and the geographic stamp characteristics is analyzed, and the authenticity of the data of the three sub-chains is verified in a cross mode.
On the basis of the scheme, the system also comprises a safety management and control module,
the safety control module constructs a safety control algorithm model for the product and the production information, intelligently identifies potential illegal scenes, realizes the penetrating safety supervision of the product,
the safety control module grasps production expenditure expense information of the product in the production process through an electronic invoice chain, monitors storage and transportation information of the product through a logistics supply chain, grasps circulation information of capital through a financial payment chain, and performs cross validation through cooperation of three sub-chains.
On the basis of the scheme, the safety control module is provided with an artificial intelligence and big data module and is used for intelligently identifying and managing the weak part and timely reminding safety risks.
Preferably, the product is a food, a pharmaceutical, or a hazardous product.
The invention has the beneficial effects that:
1. solving the data barrier of the ticket/payment/stream three-chain, and getting through the digital channel of 'point-to-network';
2. the problem of low single-chain reliability is solved by using the cross validation of the ticket/payment/flow triple-chain;
3. the illegal scene and the reasonable scene are intelligently identified, and the penetrating safety monitoring of food/medicine/dangerous products is realized;
4. the current situation that food, medicine, dangerous goods and the like lack of effective supervision is changed;
5. plays an important role in promoting the controllability and traceability of products.
Drawings
FIG. 1 is a schematic diagram of a whole-course tracing and supervision method for three-chain cross validation of product security;
FIG. 2 is a schematic view of an electronic invoice chain;
FIG. 3 is a schematic view of a payment information chain;
FIG. 4 is a schematic view of a logistics information chain;
FIG. 5 is a block chain and artificial intelligence analysis, traceability and surveillance platform.
Detailed Description
As shown in fig. 1, a whole-process traceability monitoring system for three-chain cross validation of product security in ticket payment flow is characterized by comprising a blockchain bottom data platform, three sub-chains which are connected with the blockchain bottom data platform and are isolated from each other: electronic invoice chains, financial payment chains, logistics supply chains, and RFID systems.
The method comprises the steps of establishing a ticket/payment/flow three-chain cooperative data platform of an electronic invoice chain, a financial payment chain and a logistics supply chain based on a block chain technology, an interface technology, a bar code, an RFID technology and an intelligent contract so as to realize a free high-efficiency mode of longitudinal traceability and transverse mutual integration of a three-chain full-flow big data cluster.
As shown in figures 2, 3 and 4,
1. building a block chain bottom layer data platform, and building three sub-chains of an electronic invoice chain, a financial payment chain and a logistics supply chain respectively;
2. each subchain realizes accurate storage, query, tracing and analysis of respective longitudinal data; the sub-chains are isolated from each other, and a common node can only read the data of the sub-chain where the node is located, but cannot read the data and transaction of other sub-chains, so that the privacy and the safety of the data are ensured;
3. setting a supervision node, having the highest authority and subscribing system account book cluster information; and utilizing a cross-chain technology to transversely open the three-chain data to form a cross-chain fused three-chain cooperative data group.
And (3) getting through a data channel from a point to a network, and realizing a free high-efficiency mode of longitudinal traceability and transverse mutual fusion of the three-chain full-flow big data cluster.
And secondly, establishing a cross validation and multi-party cooperative computing model of the ticket/payment/flow three-chain full-flow big data cluster, and extracting, analyzing and cross validating the consistency and the authenticity of the three-chain cooperative data by using an artificial intelligence technology.
1. Analyzing and processing the full-flow big data of ticket/payment/flow three-link evidence storage by using artificial intelligence and machine learning technologies and applying machine learning algorithms such as a neural network model and random forest;
2. establishing an automatic algorithm model, extracting data information related to the same object on a ticket/payment/flow three-chain, automatically comparing the amount, time and place of a payment bill, a logistics bill and an electronic invoice, and analyzing the logical coordination consistency of the characteristics of a time stamp, a geographic stamp and the like;
3. and the authenticity of ticket/payment/flow triple-chain data is cross-verified, the authenticity of chain data is ensured, and an ecological chain for connecting production, logistics, sales and after-sales full life cycles is opened.
And thirdly, constructing a safety control algorithm model of the ticket/payment/flow three-chain full-flow big data cluster information, realizing the traceability and cross verification of the data cluster information, intelligently identifying potential illegal scenes, and establishing a reliable three-chain cooperative block chain safety control system.
As shown in fig. 5:
1. a safety control algorithm model for product and production information is established, potential illegal scenes are intelligently identified, and penetrating safety supervision on food, medicines, dangerous goods and the like is realized;
2. the basic production expenditure condition of the product in the production process is mastered through an invoice chain, and the quality and safety of the product are controlled from the source; the transportation condition of the product is monitored through a logistics supply chain, and special factors such as the transportation temperature of sensitive products such as medicines and the like are comprehensively monitored in real time, so that the compliance operation of the transportation process is ensured; and (4) mastering the circulation mode of the assets by combining all payment information through a financial payment chain and an invoice chain.
3. And three-chain cooperation cross validation ensures the reality and the effectiveness of data and realizes the whole-process traceability of asset information.
4. The artificial intelligence and big data module intelligently identifies and manages the weak part, timely reminds to reduce safety risks, can quickly locate a problem link when a problem occurs, and quickly pursues duty and repairs bugs.
The invention uses the authority credibility of the electronic invoice, takes the fund flow and logistics data of the transaction/circulation process of food/medicine/dangerous products as a cross validation means, establishes a collaborative data platform of a block chain electronic invoice chain, a financial payment chain and a logistics supply chain, establishes a high-efficiency mode of longitudinal traceability and transverse interoperability of a ticket/payment/flow three-chain full-flow big data cluster, establishes a cross validation calculation model of the ticket/payment/flow three-chain full-flow big data cluster, extracts, analyzes and cross validates the consistency and the authenticity of the three-chain collaborative data by using an artificial intelligence technology, establishes a safety control algorithm model, conducts traceability and cross validation on data cluster information, intelligently identifies potential illegal scenes, and forms a reliable three-chain collaborative block chain safety control system. The invention utilizes the block chain technology to get through the data channel from point to network, thus realizing the penetrating safety monitoring and scientific and efficient management of food, medicine, dangerous products and the like.
It will be appreciated that although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a ticket payment flows whole journey that three chains cross validation product security supervise system, its characterized in that includes block chain bottom data platform, three mutually isolated subchains that are connected with block chain bottom data platform: electronic invoice chains, financial payment chains and logistics supply chains;
the electronic invoice chain records data information of an electronic invoice of a product, uploads the data information to a block chain bottom layer data platform for inquiry, tracing and analysis, and is provided with a common node and a supervision node, wherein the common node has the authority of reading data on the electronic invoice chain;
the financial payment chain inputs data information of payment of products, uploads the data information to a block chain bottom layer data platform for inquiry, tracing and analysis, and is provided with a common node and a supervision node, wherein the common node has the authority of reading data in the financial payment chain;
the logistics supply chain records logistics data information of products, uploads the logistics data information to a block chain bottom layer data platform for inquiry, tracing and analysis, and is provided with a common node and a supervision node, wherein the common node has a data reading authority on the logistics supply chain;
the supervision nodes on the three sub-chains have the highest authority, the data of the three sub-chains are communicated transversely by using a cross-chain technology, all data information on the three sub-chains can be read, and a cross-chain fused three-chain cooperative data group is formed.
2. The system for supervising the whole process of tracing the safety of the ticket payment flow three-chain cross validation product according to claim 1, further comprising an RFID system, wherein an electronic tag of the RFID system is arranged on a supervised product, and is used for storing time, geography and transaction information of logistics of the product and uploading the information to a block chain bottom layer data platform.
3. The system for full traceback supervision of the safety of a pay-stream three-chain cross validation product according to claim 1, wherein the data information of the electronic invoice entered into the product by the electronic invoice chain comprises information of unit, amount and time of the invoice.
4. The system of claim 1, wherein the data information entered into the payment of the product by the financial payment chain includes information of payment user, payment method, payment amount and payment time.
5. The system of claim 1, further comprising an authenticity verification module,
the authenticity verification module analyzes and processes the whole flow big data of the three sub-chains by utilizing artificial intelligence and machine learning technology,
by establishing an automatic algorithm model, data information designed by the same object on the three sub-chains is extracted, the amount, time and place of a payment bill, a logistics bill and an electronic invoice are automatically compared, the logical consistency of the time stamp and the geographic stamp characteristics is analyzed, and the authenticity of the data of the three sub-chains is verified in a cross mode.
6. The system of claim 1, further comprising a security management module,
the safety control module constructs a safety control algorithm model for the product and the production information, intelligently identifies potential illegal scenes, realizes the penetrating safety supervision of the product,
the safety control module grasps production expenditure expense information of the product in the production process through an electronic invoice chain, monitors storage and transportation information of the product through a logistics supply chain, grasps circulation information of capital through a financial payment chain, and performs cross validation through cooperation of three sub-chains.
7. The system for monitoring the whole tracing process of the safety of the pay-stream three-chain cross validation product according to claim 6, wherein the safety management and control module has an artificial intelligence and big data module for intelligently identifying and managing weak parts and timely reminding safety risks.
8. The system of claims 1-7, wherein the product is a food, a pharmaceutical, or a hazardous product.
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Application publication date: 20200327 |