Method and device for constructing commodity traceability platform

Abstract

The invention provides a method and a device for constructing a commodity traceability platform. The method comprises the following steps: acquiring block data of each region block on a block chain; constructing a graph relation network according to the block data, and storing data of the graph relation network to a graph database; and a commodity information traceability query module is established, and when a user inputs a graph database query language, data in the graph database is queried and retrieved in real time, so that commodity information traceability is realized. According to the method and system, the block chain technology and the graph computing technology are combined, node information and relation information are independently stored, each enterprise is supported to have an independent data result, data are analyzed and processed through association information and association rules, the relation information between the upstream and the downstream is sorted out, and the data are stored independently. The efficiency and the effect of retrieval are improved by using a graph computing technology, and the expansion capability of the commodity traceability system and the commodity traceability efficiency are greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of commodity traceability, and more specifically, to a method and device for building a commodity traceability platform. Background Art

[0002] Traceability technology, also known as tracing technology or source tracking technology, refers to the technology that can track and record the entire process of a product from production, processing, distribution to final consumption. This technology is very important in many industries, especially in the fields of food safety, drug safety, supply chain management, etc. However, in actual business systems, the construction of the traceability system has the following problems:

[0003] 1. How to ensure the validity and security of data?

[0004] 2. There are many companies in the upstream and downstream of the industry chain, and each company has a large amount of data;

[0005] 3. The data content and format are inconsistent between enterprises;

[0006] 4. How to link data between enterprises;

[0007] 5. The nature of the goods changes due to production conversion within the enterprise;

[0008] 6. How to maintain more and more corporate and product relationships;

[0009] It is extremely important to better maintain and manage data and build a complete product traceability system to solve the above problems without adding too much burden to the enterprise. Summary of the invention

[0010] In order to solve the technical problems in the construction of the traceability system in the prior art, such as the inability to guarantee data validity and security, large amount of enterprise data, inconsistent content and format, and difficulty in association, which lead to difficulty in commodity traceability, the present invention provides a method and device for building a commodity traceability platform.

[0011] According to one aspect of the present invention, the present invention provides a method for building a commodity traceability platform, comprising:

[0012] Obtain block data of each regional block on the blockchain, wherein the regional block refers to an enterprise that intends to join the product traceability platform, and the block data includes several categories of data obtained according to the data categories of the defined graph relationship network;

[0013] Constructing a graph relationship network according to the block data, and storing the data of the graph relationship network in a graph database;

[0014] A query module for product information traceability is established. When the user enters the graph database query language, the data in the graph database is queried and retrieved in real time to achieve product information traceability.

[0015] Optionally, before obtaining the block data of each regional block on the blockchain, the method further includes generating block data according to the data category of the defined graph relationship network for each regional block, and uploading the block data to the blockchain, wherein:

[0016] Each area block obtains its own node data, wherein the node is an entity related to the area block, and the node data of a node includes all information of the node;

[0017] Generate relationship data based on the one-to-one relationship between nodes in each area block;

[0018] Generate association rules based on the one-to-many and many-to-many relationships between nodes in each region block;

[0019] The block data of each regional block is generated according to the node data, relationship data and association rules, and uploaded to the blockchain.

[0020] Optionally, the method further comprises:

[0021] Each regional block stores the node data in the block data separately from the relationship data and association rules. When a new node is added, the node data of the new node, as well as the relationship data and association planning related to the new node are stored in the corresponding storage location.

[0022] Optionally, constructing a graph relationship network according to the block data, and storing the data of the graph relationship network in a graph database includes:

[0023] Generate nodes in a graph relationship network according to the node data in the block data;

[0024] Generate edges between corresponding nodes in a graph relationship network according to the relationship data and association rules in the block data;

[0025] A graph relationship network is constructed according to the nodes and edges.

[0026] According to another aspect of the present invention, the present invention provides a device for building a commodity traceability platform, the device comprising:

[0027] A data acquisition unit, used to acquire block data of each regional block on the blockchain, wherein the regional block refers to an enterprise to be included in the commodity traceability platform, and the block data includes data of several categories obtained according to the data categories of the defined graph relationship network;

[0028] A data processing unit, configured to construct a graph relationship network according to the block data, and store the data of the graph relationship network in a graph database;

[0029] The product traceability unit is used to establish a query module for product information traceability. When the user enters the graph database query language, the data in the graph database is queried and retrieved in real time to realize product information traceability.

[0030] Optionally, the device further comprises a block data unit, which is used to generate block data according to the data category of the graph relationship network defined for each regional block, and upload the block data to the blockchain, wherein:

[0031] Each area block obtains its own node data, wherein the node is an entity related to the area block, and the node data of a node includes all information of the node;

[0032] Generate relationship data based on the one-to-one relationship between nodes in each area block;

[0033] Generate association rules based on the one-to-many and many-to-many relationships between nodes in each region block;

[0034] The block data of each regional block is generated according to the node data, relationship data and association rules, and uploaded to the blockchain.

[0035] Optionally, the block data unit is also used to store the node data in the block data separately from the relationship data and association rules. When a new node is added, the node data of the new node, as well as the relationship data and association planning related to the new node are stored in a corresponding storage location.

[0036] Optionally, the data processing unit constructs a graph relationship network according to the block data, and stores the data of the graph relationship network in a graph database, including:

[0037] Generate nodes in a graph relationship network according to the node data in the block data;

[0038] Generate edges between corresponding nodes in a graph relationship network according to the relationship data and association rules in the block data;

[0039] A graph relationship network is constructed according to the nodes and edges.

[0040] According to another aspect of the present invention, the present invention provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the method described in any one of the above aspects of the present invention.

[0041] According to another aspect of the present invention, an electronic device is provided, comprising: a processor; a memory for storing instructions executable by the processor; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of the above aspects of the present invention.

[0042] The method and device for building a commodity traceability platform described in the present invention, wherein the method includes obtaining block data of each regional block on the blockchain; constructing a graph relationship network based on the block data, and storing the data of the graph relationship network in a graph database; establishing a query module for commodity information traceability, and when the user enters the graph database query language, performing real-time query and retrieval on the data in the graph database to achieve commodity information traceability. The method and system combine blockchain technology and graph computing technology, and in the process of building a traceability system, the enterprise data is incomplete, the data between enterprises is independent, the relationship data is missing, and the continuous addition of enterprises in actual implementation leads to the gradual complexity and difficulty of maintaining the upstream and downstream model structure, and the data retrieval efficiency is low. The problems, the node information and the relationship information are stored independently, and each enterprise is supported to have its own data results, and the data is analyzed and processed through association information and association rules, and the relationship information between upstream and downstream is sorted out. The use of graph computing technology increases the efficiency and effect of retrieval, greatly improving the expansion capability of the commodity traceability system and the efficiency of commodity traceability. The advantages are as follows:

[0043] 1. Simple maintenance: enterprises only need to maintain their own relevant node information and upstream and downstream association rules and partial association information, and automatically complete the upstream and downstream data association;

[0044] 2. Scalability: nodes and relationships are independent of each other, and upstream and downstream nodes can be easily accessed at any time to ensure that the components of traceability information are complete and accurate;

[0045] 3. Improve query efficiency, perform complex relationship calculations through graph computing, and display the life cycle information of the entire upstream and downstream chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0047] Figure 1 A flowchart of a method for building a commodity traceability platform according to a preferred embodiment of the present invention;

[0048] Figure 2 A schematic diagram of the structure of a device for building a commodity traceability platform according to a preferred embodiment of the present invention;

[0049] Figure 3 Schematic diagram of the structure of an electronic device according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0050] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0051] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0052] Exemplary Methods

[0053] Figure 1 Flow chart of a method for constructing a commodity traceability platform according to a preferred embodiment of the present invention. Figure 1 As shown, the method for building a product traceability platform described in this preferred embodiment starts from step 101.

[0054] In step 101, block data of each regional block on the blockchain is obtained, wherein the regional block refers to an enterprise that intends to join the product traceability platform, and the block data includes several categories of data obtained according to the data categories of the defined graph relationship network.

[0055] In this preferred implementation, the enterprise to be added to the product traceability platform is treated as a regional block in the distributed blockchain. Due to the characteristic of the blockchain, each regional block is a node, and the data uploaded to the blockchain must be verified by the consensus of other nodes, thereby ensuring the validity and accuracy of the data uploaded by each enterprise.

[0056] Preferably, before obtaining the block data of each regional block on the blockchain, the method further comprises generating block data according to the data category of the defined graph relationship network of each regional block, and uploading the block data to the blockchain, wherein:

[0057] Each area block obtains its own node data, wherein the node is an entity related to the area block, and the node data of a node includes all information of the node;

[0058] Generate relationship data based on the one-to-one relationship between nodes in each area block;

[0059] Generate association rules based on the one-to-many and many-to-many relationships between nodes in each region block;

[0060] The block data of each regional block is generated according to the node data, relationship data and association rules, and uploaded to the blockchain.

[0061] In this preferred implementation, the entity can be an enterprise, a machine, a batch of goods, a batch of raw materials, a logistics, a person, so the node can also be the enterprise itself that intends to join the commodity traceability platform, or it can be the raw materials purchased by the enterprise, the machines and people that produce goods, the goods produced, the logistics used, etc. The node data of a node contains all the information of this node. Relationship data represents the relationship between one-to-one nodes, such as the association between the outbound serial number of the previous enterprise and the incoming serial number of the next enterprise, the association between raw materials and finished products, product transactions and logistics information, the relationship between products and quality inspectors, the relationship between products and producers, the relationship between production processes and machines, the relationship between purchasers and sellers, and other related information, the relationship between enterprises and employees, etc. The association rules represent the range association between one-to-many and many-to-many nodes. For example, all products produced in this time period during the operation cycle of the machine are related to the machine.

[0062] Preferably, the method further comprises:

[0063] Each regional block stores the node data in the block data separately from the relationship data and association rules. When a new node is added, the node data of the new node, as well as the relationship data and association planning related to the new node are stored in the corresponding storage location.

[0064] In this preferred implementation, since nodes and relationships are stored separately, it is more convenient to add nodes, relationship data, and association rules at any time, and new production links and supply chain nodes can be continuously added in the future to supplement historical data and maintain the completeness of relationship data.

[0065] In step 102, a graph relationship network is constructed according to the block data, and the data of the graph relationship network is stored in a graph database.

[0066] Preferably, constructing a graph relationship network according to the block data and storing the data of the graph relationship network in a graph database includes:

[0067] Generate nodes in a graph relationship network according to the node data in the block data;

[0068] Generate edges between corresponding nodes in a graph relationship network according to the relationship data and association rules in the block data;

[0069] A graph relationship network is constructed according to the nodes and edges.

[0070] In this preferred embodiment, when establishing associations between nodes on a graph relationship network based on association rules in the block data of each enterprise, an initial feature vector can be assigned to each allocation first, and then the corresponding relationship data can be generated regularly through the association rules. Then, the edges between nodes can be easily determined based on the relationship data, thereby generating a graph relationship network for each regional block on the blockchain.

[0071] In step 103, a query module for product information traceability is established. When a user inputs a graph database query language, real-time query and retrieval are performed on the data in the graph database to achieve product information traceability.

[0072] In this preferred implementation, after establishing a query module for product information traceability, if one wants to query a product produced by a certain enterprise during a certain period of time, one starts looking for associations from this node, associates it to the corresponding node information, and then continuously traverses and searches through the next level of associations of the node, thereby finding the entire life cycle process of the product from the most original materials to the hands of the final consumer.

[0073] The method for constructing a product traceability platform described in this preferred embodiment combines blockchain technology with graph computing technology, stores node information and relationship information independently, supports each enterprise to have its own data results, analyzes and processes data through association information and association rules, sorts out the relationship information between upstream and downstream, and uses graph computing technology to increase the efficiency and effect of retrieval, thereby ensuring the simplicity and scalability of the constructed product traceability system maintenance and improving the efficiency of product query.

[0074] Exemplary Devices

[0075] Figure 2 FIG. 1 is a schematic diagram of a device for constructing a commodity traceability platform according to a preferred embodiment of the present invention. Figure 2 As shown, the device 200 for constructing a commodity traceability platform according to this preferred embodiment includes:

[0076] The data acquisition unit 201 is used to acquire block data of each regional block on the blockchain, wherein the regional block refers to an enterprise to be included in the commodity traceability platform, and the block data includes data of several categories obtained according to the data categories of the defined graph relationship network;

[0077] A data processing unit 202 is used to construct a graph relationship network according to the block data, and store the data of the graph relationship network in a graph database;

[0078] The product tracing unit 203 is used to establish a query module for product information tracing. When a user inputs a graph database query language, the data in the graph database is queried and retrieved in real time to achieve product information tracing.

[0079] Preferably, the device further comprises a block data unit, which is used to generate block data according to the data category of the graph relationship network defined for each regional block, and upload the block data to the blockchain, wherein:

[0080] Each area block obtains its own node data, wherein the node is an entity related to the area block, and the node data of a node includes all information of the node;

[0081] Generate relationship data based on the one-to-one relationship between nodes in each area block;

[0082] Generate association rules based on the one-to-many and many-to-many relationships between nodes in each region block;

[0083] The block data of each regional block is generated according to the node data, relationship data and association rules, and uploaded to the blockchain.

[0084] Preferably, the block data unit is also used to store the node data in the block data separately from the relationship data and association rules. When a new node is added, the node data of the new node, as well as the relationship data and association planning related to the new node are stored in the corresponding storage location.

[0085] Preferably, the data processing unit constructs a graph relationship network according to the block data, and stores the data of the graph relationship network in a graph database, including:

[0086] Generate nodes in a graph relationship network according to the node data in the block data;

[0087] Generate edges between corresponding nodes in a graph relationship network according to the relationship data and association rules in the block data;

[0088] A graph relationship network is constructed according to the nodes and edges.

[0089] The device for constructing a commodity traceability platform described in this preferred embodiment has the same steps as the method for constructing a commodity traceability platform, and the technical effects achieved are also the same, which will not be repeated here.

[0090] Exemplary Electronic Devices

[0091] Figure 3The electronic device according to the preferred embodiment of the present invention is a schematic diagram of the structure of the electronic device. The electronic device can be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device can communicate with the first device and the second device to receive the collected input signal from them. Figure 3 FIG. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure. Figure 3 As shown, the electronic device includes one or more processors 301 and a memory 302 .

[0092] The processor 301 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0093] The memory 302 may include one or more computer program products, which 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, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 301 may run the program instructions to implement the energy consumption anomaly diagnosis method based on the enterprise energy consumption space of each disclosed embodiment described above and / or other desired functions. In one example, the electronic device may also include: an input device 303 and an output device 304, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0094] In addition, the input device 303 may also include, for example, a keyboard, a mouse, and the like.

[0095] The output device 304 can output various information to the outside, and can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto.

[0096] Of course, to simplify, Figure 3 Only some of the components related to the present disclosure in the electronic device are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device may further include any other appropriate components.

[0097] Exemplary computer program products and computer-readable storage media

[0098] In addition to the above-mentioned methods and devices, an embodiment of the present disclosure may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps in the method of building a product traceability platform according to various embodiments of the present disclosure described in the above "Exemplary Method" section of this specification.

[0099] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0100] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enables the processor to execute the steps in the method of building a product traceability platform according to various embodiments of the present disclosure described in the above “Exemplary Method” section of this specification.

[0101] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0102] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limitations. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0103] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0104] The block diagrams of the devices, apparatuses, equipment, and systems involved in this 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, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including," "comprising," "having," and the like are open words, referring to "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or," and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0105] The apparatus and method of the present disclosure may be implemented in many ways. For example, the apparatus and method of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0106] It should also be noted that in the apparatus, equipment and method of the present disclosure, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present disclosure. The above description of the disclosed aspects is provided to enable any technician in the field to make or use the present disclosure. Various modifications to these aspects are very obvious to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown here, but to the widest scope consistent with the principles and novel features disclosed herein.

[0107] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple 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

1. A method for building a commodity traceability platform, characterized in that: The method comprises: Obtain block data of each regional block on the blockchain, wherein the regional block refers to an enterprise that intends to join the product traceability platform, and the block data includes several categories of data obtained according to the data categories of the defined graph relationship network; Constructing a graph relationship network according to the block data, and storing the data of the graph relationship network in a graph database; A query module for product information traceability is established. When the user enters the graph database query language, the data in the graph database is queried and retrieved in real time to achieve product information traceability.

2. The method according to claim 1, characterized in that: The method further comprises generating block data according to the data category of the graph relationship network defined for each regional block and uploading it to the blockchain before obtaining the block data of each regional block on the blockchain, wherein: Each area block obtains its own node data, wherein the node is an entity related to the area block, and the node data of a node includes all information of the node; Generate relationship data based on the one-to-one relationship between nodes in each area block; Generate association rules based on the one-to-many and many-to-many relationships between nodes in each region block; The block data of each regional block is generated according to the node data, relationship data and association rules, and uploaded to the blockchain.

3. The method according to claim 2, characterized in that The method further comprises: Each regional block stores the node data in the block data separately from the relationship data and association rules. When a new node is added, the node data of the new node, as well as the relationship data and association planning related to the new node are stored in the corresponding storage location.

4. The method according to claim 2, characterized in that: The step of constructing a graph relationship network according to the block data and storing the data of the graph relationship network in a graph database includes: Generate nodes in a graph relationship network according to the node data in the block data; Generate edges between corresponding nodes in a graph relationship network according to the relationship data and association rules in the block data; A graph relationship network is constructed according to the nodes and edges.

5. A device for constructing a commodity traceability platform, characterized in that: The device comprises: A data acquisition unit, used to acquire block data of each regional block on the blockchain, wherein the regional block refers to an enterprise to be included in the commodity traceability platform, and the block data includes data of several categories obtained according to the data categories of the defined graph relationship network; A data processing unit, configured to construct a graph relationship network according to the block data, and store the data of the graph relationship network in a graph database; The product traceability unit is used to establish a query module for product information traceability. When the user enters the graph database query language, the data in the graph database is queried and retrieved in real time to realize product information traceability.

6. The device according to claim 5, characterized in that The device also includes a block data unit, which is used to generate block data according to the data category of the graph relationship network defined for each regional block, and upload the block data to the blockchain, wherein: Each area block obtains its own node data, wherein the node is an entity related to the area block, and the node data of a node includes all information of the node; Generate relationship data based on the one-to-one relationship between nodes in each area block; Generate association rules based on the one-to-many and many-to-many relationships between nodes in each region block; The block data of each regional block is generated according to the node data, relationship data and association rules, and uploaded to the blockchain.

7. The device according to claim 6, characterized in that The block data unit is also used to store the node data in the block data separately from the relationship data and association rules. When a new node is added, the node data of the new node, as well as the relationship data and association planning related to the new node are stored in the corresponding storage location.

8. The device according to claim 6, characterized in that The data processing unit constructs a graph relationship network according to the block data, and stores the data of the graph relationship network in a graph database, including: Generate nodes in a graph relationship network according to the node data in the block data; Generate edges between corresponding nodes in a graph relationship network according to the relationship data and association rules in the block data; A graph relationship network is constructed according to the nodes and edges.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 4 above.

10. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1 to 4 above.

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