CN118095990A - Pallet recycling traceability verification method and system - Google Patents
Pallet recycling traceability verification method and system Download PDFInfo
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Abstract
The invention relates to the technical field of tray recycling, and provides a method and a system for tracing verification and verification of tray recycling, wherein the method comprises the following steps: establishing a data structure of pallet circulation and stock; the data structure comprises paths and blocks, wherein the paths and the blocks are used for reflecting the circulation condition of the trays and reflecting the quantity condition of the trays; when the tray leaves the factory, recording the quantity of the tray flowing out in a data structure through a preset blockchain intelligent contract; in the circulation process of the tray, updating paths and blocks in the data structure in real time through a preset edge calculation model; when the trays return, the circulation path of the trays is tracked by utilizing the data structure, and the number of the trays is counted. The method has the advantages that the preset conditions and rules are automatically executed through the blockchain intelligent contracts, related data are automatically recorded, then the data are allowed to be processed on nodes near the generation site through the edge calculation model, the circulation path and quantity of the tray are updated in real time, the accuracy of the data is ensured, and the problems of low recording efficiency and poor accuracy in the tray management process are solved.
Description
Technical Field
The application relates to the technical field of tray recycling, in particular to a method and a system for tracing and verifying tray recycling.
Background
In modern manufacturing, pallets are the basic unit of cargo transportation and storage, and their effective management is critical to the efficient operation of the entire supply chain; the recycling of the tray not only reduces the packaging cost, but also is beneficial to realizing the sustainable development goal; however, in a multi-level distribution system, trays are often circulated between different customers, who may be located throughout different geographic locations, each customer may transfer the tray along with the goods to the next customer after using the tray, or return an empty tray to the source manufacturer after the goods are consumed; in this process, the trays may be split or reorganized with other batches of trays, making it extremely difficult to track the circulation history of each tray.
Traditional tray management methods, such as manual recording or simple Electronic Data Interchange (EDI), are frustrating in handling complex tray flows. The methods often rely on manual input, are prone to error, and cannot update the state of the tray in real time; in addition, when the tray is circulated among a plurality of customers, re-recording and collation is required for each circulation, which increases not only the workload but also the possibility of errors.
Therefore, in order to improve the accuracy and efficiency of tray management, a new method is required to improve this problem.
Disclosure of Invention
In order to solve the problems of low recording efficiency and poor accuracy in the tray management process, the application provides a method and a system for verifying and verifying the recovery of trays.
The invention provides a tray recycling traceability verification method, which comprises the following steps: establishing a data structure of pallet circulation and stock; the data structure comprises a path and a block, wherein the path is used for reflecting the circulation condition of the trays, and the block is used for reflecting the quantity condition of the trays; when the tray leaves the factory, recording the outflow quantity of the tray in the data structure through a preset blockchain intelligent contract; in the circulation process of the tray, updating the paths and the blocks in the data structure in real time through a preset edge calculation model so as to reflect circulation paths of the tray in the data structure and circulation quantity on the circulation paths; and when the trays return, tracking the circulation paths of the trays by using the data structure, and verifying the number of the trays according to the circulation paths of the trays.
Preferably, the data structure is a directed acyclic graph, and the directed acyclic graph is used for recording and tracking circulation and stock of the tray in real time; the initial block of the directed acyclic graph represents the total number of trays flowing out by a manufacturer, and the initial block is preset to be positive infinity; the edges of the initial block represent the circulation paths of the trays, and the weight of the edges represents the quantity of the trays circulated.
Preferably, the step of recording the number of the tray flows through a preset blockchain intelligent contract includes: recording the outflow time of the tray from a manufacturer and taking the outflow time as an outflow time stamp; wherein the outflow time stamp represents the exact time of the tray outflow; regarding each outflow of the tray as an independent transaction, generating a corresponding hash value by each independent transaction, and recording the outflow time stamp and the corresponding hash value in a new block; adding the new block to the directed acyclic graph and linking with the initial block; the total number of trays of the new block is equal to the weight number of the initial block edge.
Preferably, the outflow time stamp and the corresponding hash value are encrypted, and the encryption process includes: generating a corresponding time factor according to the outflow time stamp of the tray; obtaining a preset time-sensitive hash function, wherein the time-sensitive hash function takes the outflow time stamp, the time factor and the corresponding hash value as inputs, and outputs the outflow time stamp, the time factor and the corresponding hash value to obtain an encrypted time stamp hash value; when the authenticity of the encrypted timestamp hash value needs to be verified, only in a preset time window after the outflow timestamp, verifying through a private key; wherein the preset time window is defined according to the time factor.
Preferably, the step of updating the path and the block in the data structure in real time through a preset edge calculation model includes: collecting real-time circulation data of the tray, and preprocessing the circulation data, wherein the preprocessing step comprises data cleaning, normalization and feature extraction; selecting a decision tree as a machine learning model according to the preprocessed circulation data, and training the machine learning model through historical data; the machine learning model classifies output results according to the input circulation data; and deploying the trained machine learning model on an edge computing block, receiving new circulation data in real time through the machine learning model, giving a decision, and dynamically adjusting a data structure in real time according to the decision.
Preferably, the step of tracking the circulation path of the trays by using the data structure and verifying the number of the trays according to the circulation path of the trays includes: tracing all edges in the directed acyclic graph to an initial block, and verifying the number of the trays according to the weight of the edges.
As a preferred scheme, the tray may adopt any one of the following strategies for returning when returning: first-in first-out, average allocation, random allocation.
The application also provides a tray recycling traceability verification system, which comprises: the construction module is used for establishing a data structure of pallet circulation and stock; the data structure comprises a path and a block, wherein the path is used for reflecting the circulation condition of the trays, and the block is used for reflecting the quantity condition of the trays; the recording module is used for recording the quantity of the tray flowing out through a preset blockchain intelligent contract in the data structure when the tray leaves the factory; the updating module is used for updating the paths and the blocks in the data structure in real time through a preset edge calculation model in the circulation process of the tray so as to reflect the circulation paths of the tray in the data structure and the circulation quantity on the circulation paths; and the verifying and verifying module is used for utilizing the data structure to track the circulation path of the trays when the trays return, and verifying the number of the trays according to the circulation path of the trays.
The application also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor realizes the tray recycling tracing verification method according to any one of the above when executing the computer program.
The application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform a pallet recycling trace source verification method as described in any one of the preceding claims.
Compared with the prior art, the application has the following beneficial effects: by introducing the blockchain intelligent contract, the recording efficiency in the tray management process is remarkably improved, because the intelligent contract automatically executes preset conditions and rules without manual intervention; once the trays leave the factory or circulate, the intelligent contract automatically records the related data, thereby reducing human errors and delay; the data is allowed to be processed on the nodes near the generation site through the edge calculation of the edge calculation model, so that the circulation path and the quantity of the trays can be updated immediately, the timeliness and the accuracy of the data are ensured, the dependence on a central server is reduced through a near-source processing mode, the response speed and the response efficiency of the whole system are improved, and the problems of low recording efficiency and poor accuracy in the tray management process are solved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
The structures, proportions, sizes, etc. shown in the drawings are shown only in connection with the present disclosure, and are not intended to limit the scope of the invention, since any modification, variation in proportions, or adjustment of the size, etc. of the structures, proportions, etc. should be considered as falling within the spirit and scope of the invention, without affecting the effect or achievement of the objective.
FIG. 1 is a schematic flow chart of a tray recycling traceability verification method provided by an embodiment of the invention;
FIG. 2 is a schematic block diagram of a pallet recycling traceability verification system according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
Reference numerals illustrate:
10. The tray recycling and tracing verification system; 11. constructing a module; 12. a recording module; 13. updating a module; 14. a verification module; 20. an electronic device; 21. a memory; 22. a processor.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The technical scheme of the invention is further described below by the specific embodiments with reference to the accompanying drawings.
Example 1:
As shown in fig. 1, the method for verifying and verifying the recovery of the pallet according to the embodiment of the present application includes steps S100 to S400.
Step S100, establishing a data structure of pallet circulation and stock; the data structure comprises paths and blocks, the paths are used for reflecting circulation conditions of the trays, and the blocks are used for reflecting quantity conditions of the trays.
In this step, the data structure can record the circulation track and number of the trays in detail by defining paths and blocks. The path element reflects the circulation condition of the tray, namely the process of moving the tray from one place to another place; the block element is used for recording the stock of each place tray. The design of the data structure enables each movement of the tray to be tracked, thereby providing accurate data support for subsequent verification and management.
And step 200, recording the quantity of the trays flowing out in a data structure through a preset blockchain intelligent contract when the trays leave the factory.
In this step, by application of the blockchain intelligence contract, an automated and non-tamperable solution is provided for the recording of the number of outgoing trays. When the tray leaves the factory, the intelligent contract automatically records the quantity of the tray, so that not only is the error of manual input reduced, but also the transparency and the trust degree of the data are increased. Due to the nature of blockchain technology, once recorded on the chain, these data cannot be altered, providing reliable evidence for the circulation of the pallets.
And step S300, updating paths and blocks in the data structure in real time by a preset edge calculation model in the circulation process of the tray so as to reflect circulation paths of the tray in the data structure and circulation quantity on the circulation paths.
In this step, the data update in the tray circulation process becomes more efficient and real-time by the introduced edge calculation model. The edge computation can process information at the place where the data is generated in real time, reducing the need for data transmission to a central server, thereby reducing delay and improving response speed. This step ensures real-time updating of the pallet circulation path and quantity, providing timely information to the manager for making a quick decision.
And step 400, tracking the circulation paths of the trays by using the data structure when returning the trays, and verifying the number of the trays according to the circulation paths of the trays.
In this step, by using the previously established data structure, the circulation path of the pallet can be precisely tracked, and the quantity verification is performed at the time of pallet return. This step not only ensures that the trays can be properly returned, but also helps to identify and address problems that may occur during the circulation process, such as loss or damage to the trays. The verifying and verifying method improves the accuracy and the efficiency of pallet recovery, and has important significance for sustainable development of the logistics industry.
In the above steps, by introducing the blockchain smart contract, the recording efficiency in the tray management process is significantly improved because the smart contract automatically executes predetermined conditions and rules without manual intervention. This means that once the trays are shipped or circulated, the intelligent contracts automatically record the relevant data, reducing human error and delay; then, the real-time problem of data processing is solved by introducing an edge calculation model; in the traditional centralized computing model, all data needs to be sent to a central server for processing, which not only increases time delay, but also can lead to data congestion and processing bottlenecks. The edge calculation allows the data to be processed on the nodes near the generation site, so that the circulation path and the quantity of the trays can be updated immediately, the timeliness and the accuracy of the data are ensured, the dependence on a central server is reduced by a near-source processing mode, the response speed and the efficiency of the whole system are improved, and the problems of low recording efficiency and poor accuracy in the tray management process are solved.
Example 2:
in step S100, the data structure is a directed acyclic graph, which is used to record and track the circulation and stock of the tray in real time; the initial block of the directed acyclic graph represents the total number of trays flowing out by a manufacturer, and the initial block is preset to be positive infinity; the sides of the initial block represent the circulation paths of the trays, and the weights of the sides represent the number of the trays circulated.
By adopting the directed acyclic graph as a data structure, the method can effectively track and record the circulation and the stock of the tray. The initial block of the directed acyclic graph serves as the starting point of the total number of trays, an infinite resource pool is provided for the system, and the fact that any number of tray flows can be processed theoretically is ensured. The weight of the edge represents the number of trays to be transferred, and a quantized representation is provided for tray transfer.
In step S200, the step of recording the number of tray flows by a preset blockchain intelligent contract specifically includes: recording the outflow time of the tray from the manufacturer and taking the outflow time as an outflow time stamp; wherein the outflow timestamp represents the exact time of the tray outflow; regarding each outflow of the tray as an independent transaction, generating a corresponding hash value by each independent transaction, and recording an outflow time stamp and the corresponding hash value in a new block; adding the new block to the directed acyclic graph and linking with the initial block; the total number of trays of the new block is equal to the weight number of the edge of the initial block.
Wherein, carry out encryption processing to outflow timestamp and corresponding hash value, encryption processing includes: generating a corresponding time factor according to the outflow time stamp of the tray; obtaining a preset time-sensitive hash function, wherein the time-sensitive hash function takes an outflow time stamp, a time factor and a corresponding hash value as inputs, and outputs the outflow time stamp, the time factor and the corresponding hash value to obtain an encrypted time stamp hash value; when the authenticity of the encrypted timestamp hash value needs to be verified, the verification can be performed through the private key only in a preset time window after the timestamp is issued; wherein the preset time window is defined according to a time factor.
The number of tray flows is automatically recorded through the intelligent block chain contracts, so that the recording efficiency is improved, and the safety and reliability of data are enhanced. The smart contract ensures that each tray outflow is treated as an independent transaction and that each transaction has a unique hash value and timestamp. The method makes the record of the pallet circulation transparent and tamper-proof, and provides a solid foundation for tracking and verifying the pallet.
In step S300, the step of updating the path and the block in the data structure in real time through the preset edge calculation model specifically includes: collecting real-time circulation data of the tray, and preprocessing the circulation data, wherein the preprocessing step comprises data cleaning, normalization and feature extraction; selecting a decision tree as a machine learning model according to the preprocessed circulation data, and training the machine learning model through historical data; the machine learning model classifies output results according to input circulation data; and deploying the trained machine learning model on an edge computing block, receiving new circulation data in real time through the machine learning model, giving a decision, and dynamically adjusting a data structure in real time according to the decision.
The data structure is updated in real time through the edge calculation model, and the method can quickly respond to the change of the tray circulation. The application of edge calculation reduces the dependence on a central server and improves the speed and efficiency of data processing. The introduction of the machine learning model further enhances the intelligent level of the system, so that the decision of the tray circulation is more accurate and efficient.
In step S400, tracking the circulation path of the trays by using the data structure, and verifying the number of trays according to the circulation path of the trays, specifically including: tracing all edges in the directed acyclic graph to an initial block, and verifying the number of the trays according to the weight of the edges. Wherein, when the tray returns, any one of the following strategies can be adopted for returning: first-in first-out, average allocation, random allocation.
By tracking the circulation path of the trays and verifying the number using the directed acyclic graph, the method ensures that the trays can be accurately returned. Different return strategies such as first-in first-out, average distribution and random distribution provide flexibility for recycling the trays and meet the requirements in different scenes. The verifying and verifying method improves the accuracy and the efficiency of pallet recovery, and has important significance for sustainable development of the logistics industry.
Example 3:
The application also provides a pallet recycling traceability verification and verification system 10, comprising: a construction module 11, configured to establish a data structure of pallet circulation and stock; the data structure comprises paths and blocks, the paths are used for reflecting the circulation condition of the trays, and the blocks are used for reflecting the quantity condition of the trays; the recording module 12 is used for recording the quantity of the tray flowing out through a preset blockchain intelligent contract in the data structure when the tray leaves the factory; the updating module 13 is used for updating the paths and the blocks in the data structure in real time through a preset edge calculation model in the circulation process of the tray so as to reflect the circulation paths of the tray in the data structure and the circulation quantity on the circulation paths; and the verifying and verifying module 14 is used for tracking the circulation path of the trays by using the data structure when the trays are restored, and verifying the number of the trays according to the circulation path of the trays.
The efficiency and accuracy of tray management can be effectively improved by the cooperation of the construction module 11, the recording module 12, the updating module 13 and the verification module 14.
It should be noted that, for convenience and brevity of description, specific working processes of the above-described system and each module may refer to corresponding processes in the foregoing embodiment of the tray recycling and tracing verification method, which are not described herein again.
Example 4:
The application also provides an electronic device 20, which comprises a memory 21 and a processor 22, wherein the memory 21 stores a computer program capable of running on the processor 22, and the method is characterized in that the processor 22 realizes the tray recycling tracing verification method of the embodiment 1 when executing the computer program. Such an electronic device 20 may be any device having computing capabilities, such as a server, personal computer, mobile device or the like. When the processor 22 executes the computer program, each step of the tray recycling trace verification can be executed according to a preset method, so that automatic tray management is realized. In this manner, the electronic device 20 is able to provide an efficient, reliable tray recycling traceability verification service.
Example 5:
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the tray recycling trace-source verification method as in embodiment 1. Such a storage medium may be any type of storage device, such as a hard disk drive, a solid state drive, a USB flash drive, an optical disk, and the like. When the computer program is run by the processor, it directs the processor to perform the tray recycling trace verification process according to a specific method, thereby enabling any electronic device equipped with the storage medium to implement the method. This provides flexibility and convenience for the deployment of the pallet recycling traceability verification method.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for tray recycling and traceability verification, the method comprising:
Establishing a data structure of pallet circulation and stock; the data structure comprises a path and a block, wherein the path is used for reflecting the circulation condition of the trays, and the block is used for reflecting the quantity condition of the trays;
When the tray leaves the factory, recording the outflow quantity of the tray in the data structure through a preset blockchain intelligent contract;
In the circulation process of the tray, updating the paths and the blocks in the data structure in real time through a preset edge calculation model so as to reflect circulation paths of the tray in the data structure and circulation quantity on the circulation paths;
and when the trays return, tracking the circulation paths of the trays by using the data structure, and verifying the number of the trays according to the circulation paths of the trays.
2. The tray recycling traceability verification method according to claim 1, wherein the data structure is a directed acyclic graph, and the directed acyclic graph is used for recording and tracking circulation and stock of the tray in real time;
The initial block of the directed acyclic graph represents the total number of trays flowing out by a manufacturer, and the initial block is preset to be positive infinity;
the edges of the initial block represent the circulation paths of the trays, and the weight of the edges represents the quantity of the trays circulated.
3. The tray recycling traceability verification method according to claim 2, wherein the step of recording the number of the tray outflows through a preset blockchain intelligent contract comprises:
recording the outflow time of the tray from a manufacturer and taking the outflow time as an outflow time stamp; wherein the outflow time stamp represents the exact time of the tray outflow;
Regarding each outflow of the tray as an independent transaction, generating a corresponding hash value by each independent transaction, and recording the outflow time stamp and the corresponding hash value in a new block;
Adding the new block to the directed acyclic graph and linking with the initial block; the total number of trays of the new block is equal to the weight number of the initial block edge.
4. The tray recycling traceability verification method according to claim 3, wherein the outflow time stamp and the corresponding hash value are encrypted, the encrypting comprising:
Generating a corresponding time factor according to the outflow time stamp of the tray;
Obtaining a preset time-sensitive hash function, wherein the time-sensitive hash function takes the outflow time stamp, the time factor and the corresponding hash value as inputs, and outputs the outflow time stamp, the time factor and the corresponding hash value to obtain an encrypted time stamp hash value;
When the authenticity of the encrypted timestamp hash value needs to be verified, only in a preset time window after the outflow timestamp, verifying through a private key; wherein the preset time window is defined according to the time factor.
5. The tray recycling traceability verification method according to claim 1, wherein the step of updating the path and the block in the data structure in real time through a preset edge calculation model comprises:
Collecting real-time circulation data of the tray, and preprocessing the circulation data, wherein the preprocessing step comprises data cleaning, normalization and feature extraction;
selecting a decision tree as a machine learning model according to the preprocessed circulation data, and training the machine learning model through historical data; the machine learning model classifies output results according to the input circulation data;
And deploying the trained machine learning model on an edge computing block, receiving new circulation data in real time through the machine learning model, giving a decision, and dynamically adjusting a data structure in real time according to the decision.
6. The tray recycling traceability verification method according to claim 2, wherein the step of tracking the circulation path of the trays using the data structure and verifying the number of trays according to the circulation path of the trays comprises:
Tracing all edges in the directed acyclic graph to an initial block, and verifying the number of the trays according to the weight of the edges.
7. The tray recycling and tracing verification method according to claim 1, wherein the tray can be restored by adopting any one of the following strategies during restoration: first-in first-out, average allocation, random allocation.
8. A tray recycling traceability verification system, comprising:
The construction module is used for establishing a data structure of pallet circulation and stock; the data structure comprises a path and a block, wherein the path is used for reflecting the circulation condition of the trays, and the block is used for reflecting the quantity condition of the trays;
The recording module is used for recording the quantity of the tray flowing out through a preset blockchain intelligent contract in the data structure when the tray leaves the factory;
The updating module is used for updating the paths and the blocks in the data structure in real time through a preset edge calculation model in the circulation process of the tray so as to reflect the circulation paths of the tray in the data structure and the circulation quantity on the circulation paths;
And the verifying and verifying module is used for utilizing the data structure to track the circulation path of the trays when the trays return, and verifying the number of the trays according to the circulation path of the trays.
9. An electronic device comprising a memory and a processor, the memory storing a computer program executable on the processor, wherein the processor implements the tray recycling trace verification method of any one of claims 1 to 7 when the computer program is executed by the processor.
10. A computer readable storage medium, having stored thereon a computer program which, when executed by a processor, causes the processor to perform the pallet recycling trace source verification method of any of claims 1-7.
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