CN115907803A - Tobacco traceability method, device, electronic equipment, storage medium based on block chain - Google Patents

Abstract

The embodiment of the present disclosure discloses a blockchain-based tobacco traceability method, device, electronic equipment, and storage medium, wherein the method includes: obtaining the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product; determining whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple; and in response to the radio frequency identification tag corresponding to the target tobacco product, based on the target tobacco product The block chain logic node in the data tuple obtains the traceable product data corresponding to the target tobacco product from the block chain; based on the traceable product data, determine the raw material information and at least one processing information corresponding to the target tobacco product.

Description

Tobacco traceability method, device, electronic equipment, storage medium based on block chain

technical field

The present disclosure relates to block chain technology, especially a block chain-based tobacco traceability method, device, electronic equipment, and storage medium.

Background technique

Affected by the frequent occurrence of global consumer product safety accidents, consumers are becoming more and more concerned about the quality and safety of important consumer products. After purchasing cigarettes, how can consumers be sure that they are selling authentic cigarettes? become a doubt. It is an inevitable requirement for the industrial upgrading of the tobacco industry to establish and improve the tobacco traceability system and realize the traceability of cigarette products.

Contents of the invention

In order to solve the above-mentioned technical problems, the present disclosure is proposed. Embodiments of the present disclosure provide a blockchain-based tobacco traceability method, device, electronic device, and storage medium.

According to an aspect of an embodiment of the present disclosure, a blockchain-based tobacco traceability method is provided, including:

Obtain the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product;

determining whether a radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple;

In response to the radio frequency identification tag corresponding to the target tobacco product, obtaining traceable product data corresponding to the target tobacco product from the blockchain based on the blockchain logic node in the data tuple;

Based on the traceable product data, raw material information and at least one processing information corresponding to the target tobacco product are determined.

Optionally, the determining whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple includes:

determining whether a radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint;

In response to the radio frequency identification tag corresponding to the target chip fingerprint, it is determined that the radio frequency identification tag corresponds to the target tobacco product.

Optionally, the determining whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint includes:

Obtain the corresponding login chip fingerprint by performing login verification on the radio frequency identification tag;

Determine whether the radio frequency identification tag corresponds to the target chip fingerprint according to whether the login chip fingerprint matches the target chip fingerprint.

Optionally, the obtaining traceable product data corresponding to the target tobacco product from the blockchain based on the blockchain logic node in the data tuple includes:

Based on the mapping list stored by the blockchain logic node from the blockchain, determine the blockchain physical node corresponding to the blockchain logic node; wherein, multiple blockchains are stored in the mapping list Correspondence between logical nodes and multiple blockchain physical nodes;

The traceable product data corresponding to the target tobacco product is obtained from the blockchain physical node corresponding to the blockchain logic node.

Optionally, determining the raw material information and at least one processing information corresponding to the target tobacco product based on the traceable product data includes:

Obtain raw material information corresponding to the target tobacco product based on the raw material identification code in the traceable product data;

At least one processing information corresponding to the target tobacco product is obtained based on at least one processing identification code in the traceable product data, and at least one corresponding processing attribute information is obtained based on at least one processing information; wherein the processing attribute information includes Time information and/or environment information.

Optionally, before obtaining the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product, it may further include:

Assign raw material identification codes to tobacco raw materials according to the raw material information, and upload the raw material information and the raw material identification codes to the block chain for storage;

Assigning a corresponding processing identification code to each of the processing information in at least one of the processing information according to the order in which the tobacco raw materials are processed;

uploading at least one of the processing information and at least one of the processing identification codes to the block chain for storage.

Optionally, after assigning raw material identification codes to the tobacco raw materials according to the raw material information, it also includes:

A chip fingerprint corresponding to the tobacco raw material is generated based on the raw material identification code.

Optionally, before uploading at least one of the processing information and at least one of the processing identification codes to the block chain for storage, it also includes:

Obtaining corresponding at least one processing attribute information based on at least one processing information, and associating each processing attribute information with the corresponding processing information;

The uploading of at least one of the processing information and at least one of the processing identification codes to the block chain for storage includes:

uploading the at least one processing information, at least one processing attribute information and at least one processing identification code to the block chain for storage.

According to another aspect of the embodiments of the present disclosure, a blockchain-based tobacco traceability device is provided, including:

The data acquisition module is used to obtain the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product;

A fingerprint identification module, configured to determine whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple;

A product data module, configured to obtain traceable product data corresponding to the target tobacco product from the blockchain based on the blockchain logic node in the data tuple in response to the radio frequency identification tag corresponding to the target tobacco product ;

An information traceability module, configured to determine raw material information and at least one piece of processing information corresponding to the target tobacco product based on the traceable product data.

Optionally, the fingerprint identification module is specifically configured to determine whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint; Corresponding to the target chip fingerprint, it is determined that the radio frequency identification tag corresponds to the target tobacco product.

Optionally, when the fingerprint identification module determines whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint, it is specifically configured to: Login verification, obtaining a corresponding login chip fingerprint; determining whether the radio frequency identification tag corresponds to the target chip fingerprint according to whether the login chip fingerprint matches the target chip fingerprint.

Optionally, the product data module is specifically configured to determine the blockchain physical node corresponding to the blockchain logical node based on the mapping list stored by the blockchain logical node in the blockchain; wherein , the corresponding relationship between multiple blockchain logical nodes and multiple blockchain physical nodes is saved in the mapping list; the target tobacco is obtained from the blockchain physical nodes corresponding to the blockchain logical nodes The traceable product data corresponding to the product.

Optionally, the information traceability module is specifically configured to obtain raw material information corresponding to the target tobacco product based on the raw material identification code in the traceable product data; obtain the raw material information corresponding to the target tobacco product based on at least one processing identification code in the traceable product data. At least one processing information corresponding to the target tobacco product, and at least one corresponding processing attribute information is obtained based on at least one processing information; wherein, the processing attribute information includes time information and/or environment information.

Optionally, the device also includes:

The raw material identification storage module is used to assign raw material identification codes to tobacco raw materials according to the raw material information, and upload the raw material information and the raw material identification codes to the block chain for storage;

The processing identification storage module is used to assign a corresponding processing identification code to each of the processing information in at least one of the processing information according to the order in which the tobacco raw materials are processed; at least one of the processing information and at least one of the processing information The processing identification code is uploaded to the block chain for storage.

Optionally, the device also includes:

A fingerprint generating module, configured to generate a chip fingerprint corresponding to the tobacco raw material based on the raw material identification code.

Optionally, the device also includes:

An attribute information module, configured to obtain at least one corresponding processing attribute information based on at least one processing information, and associate each processing attribute information with the corresponding processing information;

The processing identification storage module is specifically configured to upload the at least one processing information, at least one processing attribute information and at least one processing identification code to the block chain for storage.

According to yet another aspect of the embodiments of the present disclosure, an electronic device is provided, including:

memory for storing computer program products;

The processor is configured to execute the computer program product stored in the memory, and when the computer program product is executed, implement the blockchain-based tobacco traceability method described in any of the above embodiments.

According to still another aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the block-based chain of tobacco traceability methods.

Based on the blockchain-based tobacco traceability method, device, electronic equipment, and storage medium provided by the above-mentioned embodiments of the present disclosure, the data tuple corresponding to the target tobacco product is obtained through the traceability label of the target tobacco product; based on the determining whether a radio frequency identification tag in the data tuple corresponds to the target tobacco product in response to the target chip fingerprint in the data tuple; responsive to the radio frequency identification tag corresponding to the target tobacco product, based on the data element The block chain logical nodes in the group obtain the traceable product data corresponding to the target tobacco product from the block chain; based on the traceable product data, determine the raw material information and at least one processing information corresponding to the target tobacco product; this embodiment Through the traceability label, the traceability of the processing data at each stage of the tobacco supply chain is solved, and the combination of radio frequency identification technology and blockchain technology completes the credible uploading of the data, thus ensuring the authenticity and accuracy of the tobacco supply chain data.

The technical solution of the present disclosure will be described in further detail below with reference to the drawings and embodiments.

Description of drawings

The accompanying drawings, which constitute a part of this specification, illustrate embodiments of the disclosure and, together with the description, serve to explain principles of the disclosure. The present disclosure can be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

Fig. 1 is a schematic flow diagram of a blockchain-based tobacco traceability method provided by an exemplary embodiment of the present disclosure;

FIG. 2 is a schematic flowchart of step 106 in the embodiment shown in FIG. 1 of the present disclosure;

FIG. 3 is a schematic flowchart of step 108 in the embodiment shown in FIG. 1 of the present disclosure;

Fig. 4 is a schematic structural diagram of a blockchain-based tobacco traceability device provided by an exemplary embodiment of the present disclosure;

FIG. 5 illustrates a block diagram of an electronic device according to an embodiment of the disclosure.

Detailed ways

Hereinafter, exemplary embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited by the exemplary embodiments described here.

It should be noted that relative arrangements of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

Those skilled in the art can understand that terms such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different steps, devices or modules, etc. necessary logical sequence.

It should also be understood that in the embodiments of the present disclosure, "plurality" may refer to two or more than two, and "at least one" may refer to one, two or more than two.

It should also be understood that any component, data or structure mentioned in the embodiments of the present disclosure can generally be understood as one or more unless there is a clear limitation or a contrary suggestion is given in the context.

In addition, the term "and/or" in the present disclosure is only an association relationship describing associated objects, indicating that there may be three relationships, for example, A and/or B may indicate: A exists alone, and A and B exist simultaneously , there are three cases of B alone. In addition, the character "/" in the present disclosure generally indicates that the contextual objects are an "or" relationship. The data referred to in this disclosure may include unstructured data such as text, images, and videos, and may also be structured data.

It should also be understood that the description of the various embodiments in the present disclosure emphasizes the differences between the various embodiments, and the same or similar points can be referred to each other, and for the sake of brevity, details are not repeated here.

At the same time, it should be understood that, for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

The following description of at least one exemplary embodiment is merely illustrative in nature and in no way intended as any limitation of the disclosure, its application or uses.

Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

It should be noted that like numerals and letters denote like items in the following figures, therefore, once an item is defined in one figure, it does not require further discussion in subsequent figures.

Embodiments of the present disclosure may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which may operate with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments and/or configurations suitable for use with electronic devices such as terminal devices, computer systems, servers include, but are not limited to: personal computer systems, server computer systems, thin clients, thick client computers, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, and distributed cloud computing technology environments including any of the foregoing, among others.

Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by the computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server can be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including storage devices.

In the process of realizing the present disclosure, the inventors found that the existing tobacco traceability system often ignores the environmental factors that affect the quality of tobacco at each stage of the supply chain. Quality traceability is carried out internally in one or several links such as retail circulation, and a closed-loop quality traceability of environmental factors in the entire industry chain from tobacco leaf production to final retail circulation has not been established. For example, it includes the four links of tobacco leaf production, tobacco leaf procurement, redrying processing, and cigarette manufacturing. The integrated tobacco leaf quality system has been established, focusing on traceability of process management data. Cigarette manufacturing, monopoly flow to retail circulation, most of the existing tobacco traceability systems still rely on centralized databases, only local data is uploaded to the database, and there is a lack of mutual authentication mechanism between various stages of the supply chain, forming an "information island" Phenomenon. In addition, data uploads are usually done manually, consumers can only access valid data, and the authenticity of data is difficult to guarantee. For example, there is no reasonable and effective traceability plan in the sorting process, and it is impossible to quickly identify and correct the situations of excessive smoke, low smoke, and brand errors in the sorting and packaging process. After sorting errors, the storage and distribution department can only manually review the video one by one The method of troubleshooting and correction is recovery, and the process of error correction is time-consuming and laborious. Therefore, in order to minimize the problem of tobacco error correction and recovery, it is necessary to effectively collect supply chain data and control the supply chain environmental factors that may threaten the quality of tobacco. It is necessary to build a tobacco traceability system in order to obtain true and reliable traceability. Data makes the tobacco supply chain more transparent to consumers and regulators.

Radio Frequency Identification (RFID) is a non-contact automatic radio frequency identification technology, which can effectively cope with harsh environments, and can cope with fast, efficient, non-visual object identification, which is very suitable for video traceability applications. The RFID system is mainly composed of tags, readers and application systems. The reader emits radio waves of a specific frequency. When the tag enters the radiation range, it generates an induced current and activates it. The tag sends out its own stored coded information through the built-in antenna, and the reader receives The label information is then transmitted to the application system, and finally the application system completes subsequent logical judgments and related control and management operations.

exemplary method

Fig. 1 is a schematic flowchart of a blockchain-based tobacco traceability method provided by an exemplary embodiment of the present disclosure. This embodiment can be applied to electronic equipment, as shown in Figure 1, including the following steps:

Step 102, obtain the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product.

The tobacco industry chain is mainly divided into: tobacco leaf production (planting, harvesting, baking), tobacco leaf acquisition (delivery, packaging), re-baking processing (re-baking storage, re-baking and threshing, sheet tobacco), cigarette manufacturing (shredded tobacco, packaging dispensing, manufacturing), monopoly circulation (industrial storage, industrial transportation) and retail circulation (commercial storage, sorting and coding, cigarette distribution) and other links, until consumers obtain the final tobacco products. Optionally, the target tobacco product referred to in this embodiment can be a product obtained after any processing link, for example, a tobacco product obtained after re-baking, a final tobacco product obtained by consumers, etc.; the traceability label can be pasted or printed on the on the outer packaging of the target tobacco product; the traceability label corresponds to the specific tobacco product; optionally, the traceability label can be in the form of any label that can store information, such as a QR code or a barcode; the verifier (for example, a user or an inspector) can Obtain data tuples through special scanning equipment or mobile phones and other devices that can scan and identify traceability labels.

Step 104, determine whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple.

Chip fingerprint (Physical Unclonable Function, PUF) is a hardware security technology, which is an unclonable physical change that occurs naturally in the semiconductor manufacturing process. It is a "digital fingerprint" that can be used as a unique identity for semiconductor devices. The corresponding relationship between a physical excitation signal of PUF and its unique response signal becomes an excitation-response pair. Each different PUF has a completely different set of stimulus-response pairs, and it is difficult for an attacker to physically and logically clone a PUF. The current mainstream PUF technologies include optical PUF, coated PUF and arbiter PUF. Among them, the arbiter PUF can be integrated into radio frequency identification (RFID) due to less required circuits, which meets the requirements of RFID tags.

The arbitration PUF is composed of a delay circuit and an arbitrator. Due to the difference in the production environment during the chip manufacturing process, there will be slight differences in the transmission delay of the integrated circuit. These differences are used to ensure the physical unclonability of the PUF. An ideal PUF function, under the same input conditions, the output difference of each PUF circuit can be ignored; under the same input conditions, the output difference of different PUF circuits is very large, ensuring that it is recognized as a different label in actual use; the PUF cannot be accurately predicted output; if the PUF circuit changes, the corresponding stimulus response should also change.

This embodiment ensures the authenticity and controllability of the radio frequency identification tag through the chip fingerprint.

Step 106, in response to the radio frequency identification tag corresponding to the target tobacco product, obtain traceable product data corresponding to the target tobacco product from the blockchain based on the blockchain logic node in the data tuple.

In this embodiment, by saving the traceable product data corresponding to the target tobacco product in the block chain, the authenticity and accuracy of the traceable product data are ensured.

Step 108, based on the traceable product data, determine raw material information and at least one piece of processing information corresponding to the target tobacco product.

After obtaining the traceable product data, the raw material information corresponding to the target tobacco product (for example, information on origin, planting, harvesting, baking, etc.) and at least one corresponding processing information (for example, rebaking processing, Cigarette manufacturing, transportation and other information) can realize the traceability of the production and processing process of the target tobacco product; can quickly identify and correct the situation of excessive smoke, low smoke, and wrong brand in the sorting and packaging process.

According to the blockchain-based tobacco traceability method provided by the above embodiments of the present disclosure, the data tuple corresponding to the target tobacco product is obtained through the traceability label of the target tobacco product; based on the target chip fingerprint in the data tuple, it is determined whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product; responsive to the radio frequency identification tag corresponding to the target tobacco product, based on the block chain logic node in the data tuple from The block chain obtains the traceable product data corresponding to the target tobacco product; based on the traceable product data, determine the raw material information and at least one processing information corresponding to the target tobacco product; this embodiment proposes a method based on block chain and radio frequency The tobacco supply chain traceability model of identification (RFID) technology solves the traceability of processing data at each stage of the tobacco supply chain through traceability labels, and combines radio frequency identification technology and block chain technology to complete the credible uploading of data, thus ensuring Authenticity and accuracy of tobacco supply chain data. By establishing a trusted tobacco traceability system, the quality of tobacco products can be effectively guaranteed, and consumer confidence and satisfaction can be improved.

In this example, a tobacco supply chain traceability method is established based on blockchain and radio frequency identification (RFID) technology. It focuses on the traceability of environmental data at each stage of the tobacco supply chain, and combines centralized databases and blockchains for data storage. Lot identification data for various supply chain stages is stored in a centralized database, while environmental data is stored in a blockchain. Thereby ensuring the authenticity and accuracy of the traceability data. Through combing the design function and risk analysis of the model, its feasibility is verified.

In some optional embodiments, step 104 may include:

determining whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint;

In response to the radio frequency identification tag corresponding to the target chip fingerprint, it is determined that the radio frequency identification tag corresponds to the target tobacco product.

In this embodiment, each radio frequency identification tag corresponds to a unique chip fingerprint. In this embodiment, the target chip fingerprint is used to determine whether the radio frequency identification tag has been tampered with. Authenticity of the identification tag; after determining that the RFID tag has not been tampered with, it can be determined that the RFID tag corresponds to the target tobacco product.

Optionally, determining whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint includes:

Through the login verification of the radio frequency identification tag, the corresponding login chip fingerprint is obtained;

According to whether the fingerprint of the login chip matches the fingerprint of the target chip, it is determined whether the radio frequency identification tag corresponds to the fingerprint of the target chip.

In this embodiment, the login verification of the radio frequency identification tag can be interactive verification, for example, accode, etc.; wherein, accode is a login verification two-dimensional code, which is used for some security door logins, similar to ordinary two-dimensional codes, but accode uses Interactive verification is different from the one-way data transmission of ordinary QR codes. It has certain anti-counterfeiting and security. The login verification through the radio frequency identification label can be understood as that the chip fingerprint will be reconstructed every time the power is turned on to obtain the login chip fingerprint. When the label content is tampered with, the reconstructed login chip fingerprint will be inconsistent with the target chip fingerprint. , the RFID tag does not correspond to the fingerprint of the target chip.

Optionally, when the data in the RFID tag is obtained by the RFID reader, the RFID tag is used to store coded data, and each tag chip has unique PUF information. The RFID reader obtains the tag data within the magnetic field range through the antenna, and each reader chip has unique PUF information. After the data is decoded, the collected tag data and PUF information of the tag and reader are sent to the processing device for further processing. The processing device stores the blockchain nodes and transmits the information to the blockchain through the network.

As shown in Figure 2, on the basis of the embodiment shown in Figure 1 above, step 106 may include the following steps:

Step 1061, based on the mapping list stored in the blockchain by the logical node of the blockchain, determine the physical node of the blockchain corresponding to the logical node of the blockchain.

Wherein, the correspondence between multiple blockchain logical nodes and multiple blockchain physical nodes is stored in the mapping list.

Step 1062, obtain traceable product data corresponding to the target tobacco product from the blockchain physical node corresponding to the blockchain logic node.

In this embodiment, the correspondence between blockchain logical nodes and multiple blockchain physical nodes is stored in the mapping list, based on the corresponding relationship, the corresponding physical nodes can be found based on the blockchain logical nodes, and then from The corresponding traceable product data is obtained in the corresponding blockchain physical node, which ensures the accuracy and traceability of the data on the chain.

As shown in Figure 3, on the basis of the embodiment shown in Figure 1 above, step 108 may include the following steps:

Step 1081, obtain raw material information corresponding to the target tobacco product based on the raw material identification code in the traceable product data.

Step 1082: Obtain at least one processing information corresponding to the target tobacco product based on at least one processing identification code in the traceable product data, and obtain at least one corresponding processing attribute information based on the at least one processing information.

Wherein, the processing attribute information includes time information and/or environment information.

Collect the input environmental data, such as temperature data and humidity data, and uniquely bind the data, collected objects and RFID tags to form physical object identification.

This patent creates a tobacco supply chain traceability model based on blockchain and RFID technology. The model focuses on the traceability of environmental data at all stages of the tobacco supply chain, and combines a centralized database and blockchain for data storage. Lot identification data for various supply chain stages is stored in a centralized database, while environmental data is stored on the blockchain. This ensures the authenticity and accuracy of traceability data.

In some optional embodiments, before performing step 102, it may also include:

Tobacco raw materials are assigned raw material identification codes according to the raw material information, and the raw material information and raw material identification codes are uploaded to the blockchain for storage;

Assigning a corresponding processing identification code to each processing information in the at least one processing information according to the order in which the tobacco raw materials are processed;

At least one processing information and at least one processing identification code are uploaded to the block chain for storage.

In this embodiment, starting from the production of tobacco raw materials, a corresponding raw material identification code is generated for the corresponding tobacco raw material for subsequent traceability. Different raw material information corresponds to different raw material identification codes. Raw material information may include but is not limited to : Place of origin, planting time, collection time, etc.; For example: Tobacco is labeled during the agricultural production stage, each batch of tobacco is affixed with an RFID tag, and each batch of tobacco is assigned a different processing identification code at each processing stage (different batches of tobacco are assigned different processing identification codes, here Batch refers to the processing batch) to assign a processing identification code. After the processing identification code is constructed, a data tuple is formed on the final product and written into the traceability label; Tobacco raw materials corresponding to the same raw material identification code may be further subdivided into multiple batches each time they are processed, that is, target tobacco products with the same raw material identification code may have at least one corresponding processing identification code that is different. When tobacco products are obtained, the data tuples in the complete traceability label corresponding to each independent tobacco product are different.

For example, in an optional example, the raw material identification code corresponding to a batch of tobacco raw materials is LP(lp1); Example) To realize the collection and processing of tobacco leaves, determine the processing identification codes LA(la1) and LA(la2) for the collected tobacco products respectively. At this time, the corresponding data tuples of the two batches of tobacco products are (LP(lp1) , LA(la1)) and (LP(lp1), LA(la2)); Continue to the next step to process the tobacco products with identification code LA(la1) and divide them into two batches (the batches can be multiple, according to the actual The application scenario is determined. In this example, only two times are taken as an example) after rebaking processing, the two batches of tobacco products obtained from rebaking processing are assigned to determine the processing identification codes R(r1) and R(r2). At this time, the two The data tuples corresponding to the batches of tobacco products are (LP(lp1), LA(la1), R(r1)) and (LP(lp1), LA(la1), R(r2)) respectively; the next step will be Tobacco products with processing identification code R(r1) are divided into two batches (there can be multiple batches, determined according to the actual application scenario, this example only takes two batches as an example) after cigarette manufacturing processing, and allocated as cigarette manufacturing The two batches of tobacco products obtained determine the processing identification codes M(m1) and M(m2). At this time, the corresponding data tuples of the two batches of tobacco products are (LP(lp1), LA(la1), R( r1), M(m1)) and (LP(lp1), LA(la1), R(r1), M(m2)); proceed to the next step to divide the tobacco product with the processing identification code M(m1) into two Batches (there can be multiple batches, determined according to the actual application scenario, this example only takes two times as an example) are transported and processed, and the two batches of tobacco products obtained from the transportation are assigned to determine the processing identification codes T(t1) and T( t2), at this time, the data tuples corresponding to the two batches of tobacco products are (LP(lp1), LA(la1), R(r1), M(m1), T(t1)) and (LP( lp1), LA(la1), R(r1), M(m1), T(t2)); continue to the next step and divide the tobacco product of T(t1) into two batches (batches can be Multiple, determined according to the actual application scenario, in this example only two times are taken as an example) after retail processing, and assigned to two batches of tobacco products obtained from retail to determine the processing identification codes C(c1) and C(c2), at this time, the two The data tuples corresponding to batches of tobacco products are (LP(lp1), LA(la1), R(r1), M(m1), T(t1), C(c1)) and (LP(lp1) , LA(la1), R(r1), M(m1), T(t1), C(c2)); finally, divide the tobacco products with processing identification code C(c1) into two batches (batch It can be multiple, determined according to the actual application scenario. In this example, only two times are used as an example) to determine the processing identification codes P(p1) and P(p2) for two batches of tobacco products that have been processed and assigned different products. At this time, The data tuples corresponding to the two batches of tobacco products are (LP(lp1), LA(la1), R(r1), M(m1), T(t1), C(c1), P(p1)) and (LP(lp1), LA(la1), R(r1), M(m1), T(t1), C(c1), P(p2)). And, after each processing is completed and the processing identification code is assigned, the processing information and processing identification code are uploaded to the designated node in the block chain, and the raw material identification code and all processing identification codes are stored in the radio frequency identification tag; The corresponding raw material information and processing information are obtained in the blockchain, and the logical nodes of the blockchain can also be included in the data tuple.

Optionally, after assigning raw material identification codes to the tobacco raw materials according to the raw material information, it also includes:

A chip fingerprint corresponding to the tobacco raw material is generated based on the raw material identification code.

In this embodiment, the uniqueness and security of the RFID tag are guaranteed through the PUF technology, so as to ensure the physical uniqueness of the tag.

Optionally, before uploading at least one processing information and at least one processing identification code to the block chain for storage, it also includes:

Obtaining at least one corresponding processing attribute information based on at least one processing information, and associating each processing attribute information with corresponding processing information;

Upload at least one processing information and at least one processing identification code to the block chain for storage, including:

At least one processing information, at least one processing attribute information and at least one processing identification code are uploaded to the block chain for storage.

In view of the neglect of the relationship between tobacco quality and environmental factors affecting each processing stage of the supply chain in the existing tobacco traceability method, this embodiment proposes to obtain processing attribute information during the processing process, which may include but not limited to : Environmental information (such as temperature data, humidity data, pressure data, etc.), time data, etc.; by storing the processing attribute data together with the processing data and processing identification code in the block chain, the influence of environmental factors on tobacco quality can be in Obtained during product traceability, making the tobacco supply chain more transparent to consumers and regulators; uniquely binding processing information, processing attribute information, tobacco products and RFID tags to form physical object identification. After the storage is completed, the blockchain logic node that stores the information will be sent to the traceability tag for storage. For example, in some optional examples, the data tuples included in the traceback tags include: {LN(j),(LP(lp),LA(la),R(r),M(m),T(t ), C(c), P(p)), PUF, Data}; among them, LN(j) represents blockchain logic node j; (LP(lp), LA(la), R(r), M( m), T(t), C(c), P(p)) are raw material identification codes and multiple processing identification codes, which are physical object identifications and are recorded in RFID tags; PUF represents chip fingerprints; Data represents multiple processing The processing attribute information corresponding to the identification code.

Any blockchain-based tobacco traceability method provided by the embodiments of the present disclosure can be executed by any appropriate device with data processing capabilities, including but not limited to: terminal devices and servers. Alternatively, any of the blockchain-based tobacco traceability methods provided by the embodiments of the present disclosure may be executed by a processor, for example, the processor executes any of the blockchain-based tobacco traceability methods mentioned in the embodiments of the present disclosure by calling the corresponding instructions stored in the memory. chain of tobacco traceability methods. I won't go into details below.

Exemplary device

Fig. 4 is a schematic structural diagram of a blockchain-based tobacco traceability device provided by an exemplary embodiment of the present disclosure. The device provided in this embodiment includes:

The data acquisition module 41 is configured to obtain the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product.

The fingerprint identification module 42 is configured to determine whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple.

The product data module 43 is configured to obtain traceable product data corresponding to the target tobacco product from the blockchain based on the blockchain logic node in the data tuple in response to the radio frequency identification tag corresponding to the target tobacco product.

The information traceability module 44 is configured to determine raw material information and at least one piece of processing information corresponding to the target tobacco product based on traceable product data.

According to the blockchain-based tobacco traceability device provided by the above-mentioned embodiments of the present disclosure, the data tuple corresponding to the target tobacco product is obtained through the traceability label of the target tobacco product; based on the target chip fingerprint in the data tuple, the whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product; responsive to the radio frequency identification tag corresponding to the target tobacco product, based on the block chain logic node in the data tuple from The block chain obtains the traceable product data corresponding to the target tobacco product; based on the traceable product data, determine the raw material information and at least one processing information corresponding to the target tobacco product; this embodiment proposes a method based on block chain and radio frequency The tobacco supply chain traceability model of identification (RFID) technology solves the traceability of processing data at each stage of the tobacco supply chain through traceability labels, and combines radio frequency identification technology and block chain technology to complete the credible uploading of data, thus ensuring Authenticity and accuracy of tobacco supply chain data. By establishing a trusted tobacco traceability system, the quality of tobacco products can be effectively guaranteed, and consumer confidence and satisfaction can be improved.

In some optional embodiments, the fingerprint identification module 42 is specifically configured to determine whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint; in response to the radio frequency identification tag corresponding to the target chip fingerprint, determine RFID tags correspond to targeted tobacco products.

Optionally, the fingerprint identification module 42, when determining whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint, is specifically used to obtain the corresponding login chip fingerprint by performing login verification on the radio frequency identification tag ; According to whether the fingerprint of the login chip matches the fingerprint of the target chip, determine whether the RFID tag corresponds to the fingerprint of the target chip.

In some optional embodiments, the product data module 43 is specifically configured to determine the blockchain physical node corresponding to the blockchain logical node based on the mapping list stored by the blockchain logical node from the blockchain; wherein, the mapping list The corresponding relationship between multiple blockchain logical nodes and multiple blockchain physical nodes is stored in it; the traceable product data corresponding to the target tobacco product is obtained from the blockchain physical nodes corresponding to the blockchain logical nodes.

Optionally, the information traceability module 44 is specifically configured to obtain the raw material information corresponding to the target tobacco product based on the raw material identification code in the traceable product data; obtain at least one process corresponding to the target tobacco product based on at least one process identification code in the traceable product data Information, at least one corresponding processing attribute information is obtained based on at least one processing information; wherein, the processing attribute information includes time information and/or environment information.

In some optional embodiments, the device provided in this embodiment may also include:

The raw material identification storage module is used to assign raw material identification codes to tobacco raw materials according to the raw material information, and upload the raw material information and raw material identification codes to the block chain for storage;

The processing identification storage module is used to assign a corresponding processing identification code to each processing information in at least one processing information according to the order in which the tobacco raw materials are processed; upload at least one processing information and at least one processing identification code to the block chain to store.

Optionally, the device provided in this embodiment may also include:

The fingerprint generation module is used to generate chip fingerprints corresponding to the tobacco raw material based on the raw material identification code.

Optionally, the device provided in this embodiment may also include:

An attribute information module, configured to obtain at least one corresponding processing attribute information based on at least one processing information, and associate each processing attribute information with corresponding processing information;

The processing identification storage module is specifically used to upload at least one processing information, at least one processing attribute information and at least one processing identification code to the block chain for storage.

The participants in the tobacco supply chain traceability system mainly include data providers, data verifiers and consumers, and different participants are given different access rights. The complete traceability model includes trusted data transmission in the blockchain system, which is of great significance for ensuring the stability and agility of the tobacco traceability system.

Aiming at the tobacco industry, a theoretical model of the traceability system of the tobacco supply chain is constructed, and a traceability coding specification and key environmental information collection methods are proposed. Then, the traceability coding structure, operation mechanism and data transmission mechanism of the blockchain-based tobacco supply chain traceability system are expounded. The trusted traceability system of the tobacco supply chain can effectively solve the problem of data incompatibility among different links, enterprises and regions in the tobacco supply chain, make data flow more efficient and transparent, help supply chain enterprises quickly discover quality hidden dangers, and help third-party supervisory units to implement Supervise and protect the rights and interests of consumers.

Exemplary electronic device

Hereinafter, an electronic device according to an embodiment of the present disclosure is described with reference to FIG. 5 . The electronic device may be either or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive collected data from them. input signal.

FIG. 5 illustrates a block diagram of an electronic device according to an embodiment of the disclosure.

As shown in Figure 5, an electronic device includes one or more processors and memory.

The processor may be a central processing unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

The memory may store one or more computer program products and may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and/or a cache memory (cache). The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, and the like. One or more computer program products can be stored on the computer-readable storage medium, and the processor can run the computer program products to realize the blockchain-based tobacco traceability of various embodiments of the present disclosure described above. method and/or other desired functionality.

In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and/or other forms of connection mechanisms (not shown).

In addition, the input device may also include, for example, a keyboard, a mouse, and the like.

The output device can output various information to the outside, including determined distance information, direction information, and the like. The output devices may include, for example, displays, speakers, printers, and communication networks and their connected remote output devices, among others.

Of course, for simplicity, only some of the components related to the present disclosure in the electronic device are shown in FIG. 5 , and components such as bus, input/output interface, etc. are omitted. In addition, the electronic device may also include any other suitable components according to specific applications.

In addition to the methods and devices described above, embodiments of the present disclosure may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the functions described in the foregoing sections of this specification. Steps in the blockchain-based tobacco traceability method of various embodiments of the present disclosure.

The computer program product can be written in any combination of one or more programming languages to execute the program codes for performing the operations of the embodiments of the present disclosure, and the programming languages include object-oriented programming languages, such as Java, C++, etc. , also includes conventional procedural programming languages, such as the "C" language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server to execute.

In addition, the embodiments of the present disclosure may also be a computer-readable storage medium, on which computer program instructions are stored, and the computer program instructions, when executed by a processor, cause the processor to execute the method according to the present invention described in the above part of this specification. Steps in a blockchain-based tobacco traceability method of various embodiments are disclosed.

The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, but not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

The basic principles of the present disclosure have been described above in conjunction with specific embodiments, but it should be pointed out that the advantages, advantages, effects, etc. mentioned in the present disclosure are only examples rather than limitations, and these advantages, advantages, effects, etc. Various embodiments of the present disclosure must have. In addition, the specific details disclosed above are only for the purpose of illustration and understanding, rather than limitation, and the above details do not limit the present disclosure to be implemented by using the above specific details.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. As for the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the related parts, please refer to the part of the description of the method embodiment.

The block diagrams of devices, devices, devices, and systems involved in the present disclosure are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, devices, devices, systems may be connected, arranged, configured in any manner. Words such as "including", "comprising", "having" and the like are open-ended words meaning "including but not limited to" and may be used interchangeably therewith. As used herein, the words "or" and "and" refer to the word "and/or" and are used interchangeably therewith, unless the context clearly dictates otherwise. As used herein, the word "such as" refers to the phrase "such as but not limited to" and can be used interchangeably therewith.

The methods and apparatus of the present disclosure may be implemented in many ways. For example, the methods and apparatuses of the present disclosure may be implemented by software, hardware, firmware or any combination of software, hardware, and firmware. The above sequence of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present disclosure can also be implemented as programs recorded in recording media, the programs including machine-readable instructions for realizing the method according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

It should also be pointed out that, in the devices, equipment and methods of the present disclosure, each component or each step can be decomposed and/or reassembled. These decompositions and/or recombinations should be considered equivalents of the present disclosure.

The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the disclosed embodiments to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims (11)

1. A tobacco tracing method based on a block chain is characterized by comprising the following steps:

obtaining a data tuple corresponding to a target tobacco product through a tracing label of the target tobacco product;

determining whether a radio frequency identification tag in the data tuple corresponds to the target tobacco product based on a target chip fingerprint in the data tuple;

in response to the radio frequency identification tag corresponding to the target tobacco product, obtaining, from a blockchain, traceback product data corresponding to the target tobacco product based on blockchain logical nodes in the data tuple;

and determining raw material information and at least one piece of processing information corresponding to the target tobacco product based on the traced product data.

2. The method of claim 1, wherein the determining whether the radio frequency identification tag in the data tuple corresponds to the target tobacco product based on the target chip fingerprint in the data tuple comprises:

determining whether a radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint;

in response to the radio frequency identification tag corresponding to the target chip fingerprint, determining that the radio frequency identification tag corresponds to the target tobacco product.

3. The method of claim 2, wherein the determining whether the radio frequency identification tag in the data tuple corresponds to the target chip fingerprint based on the target chip fingerprint comprises:

obtaining a corresponding login chip fingerprint by performing login verification on the radio frequency identification tag;

and determining whether the radio frequency identification tag corresponds to the target chip fingerprint according to whether the login chip fingerprint is matched with the target chip fingerprint.

4. The method of any one of claims 1-3, wherein said obtaining the retroactive product data corresponding to the target tobacco product from the blockchain based on the blockchain logical node in the data tuple comprises:

determining a block chain physical node corresponding to the block chain logical node based on a mapping list stored in the block chain by the block chain logical node; the mapping list stores the corresponding relation between a plurality of block chain logical nodes and a plurality of block chain physical nodes;

and obtaining the tracing product data corresponding to the target tobacco product from the block chain physical node corresponding to the block chain logical node.

5. The method according to any one of claims 1-3, wherein said determining raw material information and at least one processing information corresponding to said target tobacco product based on said retrospective product data comprises:

obtaining raw material information corresponding to the target tobacco product based on the raw material identification code in the traced product data;

obtaining at least one processing information corresponding to the target tobacco product based on at least one processing identification code in the traced product data, and obtaining at least one corresponding processing attribute information based on at least one processing information; wherein the processing attribute information includes time information and/or environment information.

6. The method of claim 5, wherein before obtaining the data tuple corresponding to the target tobacco product through the traceability label of the target tobacco product, the method further comprises:

distributing a raw material identification code for the tobacco raw material according to raw material information, and uploading the raw material information and the raw material identification code to the block chain for storage;

allocating a corresponding processing identification code to each processing information in at least one piece of processing information according to the sequence of processing the tobacco raw materials;

and uploading at least one piece of processing information and at least one piece of processing identification code to the block chain for storage.

7. The method of claim 6, further comprising, after assigning the tobacco material a material identification code according to the material information:

and generating a chip fingerprint corresponding to the tobacco raw material based on the raw material identification code.

8. The method of claim 6, wherein before uploading the at least one piece of processing information and the at least one piece of processing identifier code to the blockchain for storage, the method further comprises:

obtaining corresponding at least one piece of processing attribute information based on at least one piece of processing information, and associating each piece of processing attribute information with the corresponding piece of processing information;

the uploading at least one piece of processing information and at least one piece of processing identification code to the block chain for storage comprises:

and uploading the at least one piece of processing information, the at least one piece of processing attribute information and the at least one processing identification code to the block chain for storage.

9. A tobacco tracking device based on a block chain is characterized by comprising:

the data acquisition module is used for acquiring a data tuple corresponding to a target tobacco product through a tracing label of the target tobacco product;

a fingerprint identification module to determine whether a radio frequency identification tag in the data tuple corresponds to the target tobacco product based on a target chip fingerprint in the data tuple;

a product data module, configured to, in response to the radio frequency identification tag corresponding to the target tobacco product, obtain, from a blockchain, traceback product data corresponding to the target tobacco product based on a blockchain logical node in the data tuple;

and the information tracing module is used for determining the raw material information and at least one piece of processing information corresponding to the target tobacco product based on the traced product data.

10. An electronic device, comprising:

a memory for storing a computer program product;

a processor for executing the computer program product stored in the memory, and when executed, implementing the blockchain-based tobacco traceability method of any one of claims 1 to 8.

11. A computer readable storage medium having computer program instructions stored thereon which, when executed by a processor, implement the blockchain-based tobacco traceability method of any one of claims 1 to 8.

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