Globally shared information-based product traceability method and platform

Abstract

This application provides a product traceability method and platform for global shared information technology, involving the field of information processing technology, including: building an information sharing blockchain among multiple suppliers linked to the platform; conducting inventory rationality analysis of multiple suppliers based on global shared information to obtain multiple inventory rationality parameters; conducting comprehensive product quality change predictions for each supplier based on global shared information, and conducting independent product quality change analysis for each supplier to obtain multiple comprehensive product quality change parameters and multiple independent product quality change parameters; calculating and classifying to obtain multiple product traceability information, and completing product traceability identification. This application can solve the technical problems in the prior art that the supplier's shipping capacity assessment has lags and lacks accuracy, limiting the efficiency and accuracy of supply chain management, and achieve the technical effects of improving the accuracy of supplier assessment, real-time inventory scheduling, and optimizing supply chain management efficiency.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a product traceability method and platform for global shared information technology. Background Art

[0002] In the development of modern e-commerce platforms, the openness and sharing of information is one of the key factors in improving platform operation efficiency, optimizing supply chain management and improving customer satisfaction. Based on the global information-based e-commerce platform, the data of cloud business platforms and suppliers have been widely connected, providing a highly transparent, convenient and efficient trading environment. However, although the existing e-commerce platforms have improved transaction efficiency through large-scale data connection and information sharing, there are still some problems that need to be solved.

[0003] At present, when the platform conducts data evaluation on suppliers, although it can conduct a certain analysis of the shipping capacity, due to the timeliness of information and the diversity of data, the evaluation results may be lagging or inaccurate. For example, some suppliers may experience sudden inventory shortages during peak periods, which makes it impossible for the platform to adjust the supply plan in time, resulting in insufficient supply or mixed goods when sales are hot. In addition, although the traceability code function can ensure the traceability of the source of goods, most platforms currently still have information asymmetry problems when dealing with complex commodity circulation. The data formats and standards provided by different suppliers vary greatly, which makes the platform face high technical and operational barriers when integrating and sharing data. In addition, the data update speed of some suppliers is slow, which makes it impossible for the platform to obtain the latest inventory and shipment status of suppliers in real time, thus affecting the real-time scheduling and inventory management of the supply chain.

[0004] To sum up, the existing technologies have problems such as poor information timeliness, inconsistent data formats and standards, and delayed supplier data updates, which lead to a lag and lack of accuracy in the supplier's shipping capacity assessment, further affecting the platform's ability to cope with sudden inventory shortages and supply adjustments and inventory management during peak periods when sales are booming, making it difficult for the platform to adjust the supply plan in a timely manner, resulting in insufficient supply or mixed goods, and also increasing the technical difficulty of the platform in the process of data integration and processing, limiting the efficiency and accuracy of supply chain management. Summary of the invention

[0005] The purpose of this application is to provide a product traceability method and platform with global shared information technology to solve the problems in the prior art, such as poor information timeliness, inconsistent data formats and standards, and delayed supplier data updates, which lead to lags and inaccuracies in the evaluation of suppliers' shipping capabilities, further affecting the platform's ability to cope with sudden inventory shortages and supply adjustments and inventory management in peak periods when sales are booming, making it difficult for the platform to adjust the supply plan in a timely manner, resulting in insufficient supply or mixed goods, and increasing the technical difficulty of the platform in the process of data integration and processing, limiting the efficiency and accuracy of supply chain management.

[0006] In view of the above problems, this application provides a product traceability method and platform with global shared information.

[0007] On the first aspect, the present application provides a product traceability method with global shared information, including: among multiple suppliers linked to the platform, building an information sharing blockchain, uploading the product inventory quantity and supply quantity of the multiple suppliers in historical time, and obtaining global shared information; based on the global shared information, performing inventory rationality analysis of the multiple suppliers, and obtaining multiple inventory rationality parameters; based on the global shared information, performing a comprehensive product quality change prediction for each supplier, and performing an independent product quality change analysis for each supplier, and obtaining multiple comprehensive product quality change parameters and multiple independent product quality change parameters; based on the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, calculating and classifying to obtain multiple product traceability information, identifying multiple suppliers in the platform, and completing product traceability identification.

[0008] In the second aspect, the present application also provides a product traceability platform for global shared informationization, which is used to execute the global shared informationization product traceability method as described in the first aspect, including: a blockchain construction module, the blockchain construction module is used to build an information sharing blockchain among multiple suppliers linked to the platform, upload the product inventory quantity and supply quantity of the multiple suppliers in the historical time, and obtain global shared information; an inventory rationality analysis module, the inventory rationality analysis module is used to perform inventory rationality analysis of the multiple suppliers according to the global shared information, and obtain multiple inventory rationality parameters; a quality change analysis module, the quality change analysis module is used to perform a comprehensive product quality change prediction for each supplier according to the global shared information, and perform an independent product quality change analysis for each supplier, and obtain multiple comprehensive product quality change parameters and multiple independent product quality change parameters; a product traceability module, the product traceability module is used to calculate and classify multiple product traceability information according to the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, identify multiple suppliers in the platform, and complete product traceability identification.

[0009] The technical solution provided in the present application has at least the following technical effects or advantages: by constructing an information sharing blockchain among multiple suppliers linked to the platform, the product inventory quantity and supply quantity of the multiple suppliers in historical time are uploaded to obtain global shared information; based on the global shared information, the inventory rationality analysis of the multiple suppliers is performed to obtain multiple inventory rationality parameters; based on the global shared information, a comprehensive product quality change prediction is performed for each supplier, and an independent product quality change analysis is performed for each supplier to obtain multiple comprehensive product quality change parameters and multiple independent product quality change parameters; based on the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, multiple product traceability information is calculated and classified to obtain multiple suppliers in the platform, and product traceability identification is completed. That is to say, by realizing the technical goals of real-time sharing of supply chain information, standardization of data format and automated data update mechanism, the technical effects of improving the accuracy of supplier evaluation, real-time inventory scheduling and optimizing supply chain management efficiency are achieved.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 This is a flowchart of the product traceability method for global shared informationization for this application;

[0013] Figure 2 This is a schematic diagram of the structure of the product traceability platform for global shared informationization in this application.

[0014] Description of reference numerals:

[0015] Blockchain construction module 11, inventory rationality analysis module 12, quality change analysis module 13, product traceability module 14. DETAILED DESCRIPTION

[0016] This application solves the existing problems in the prior art, such as poor information timeliness, inconsistent data formats and standards, and delayed supplier data updates, which lead to delayed and inaccurate evaluation of suppliers' shipping capacity, further affecting the platform's response to sudden inventory shortages and hot sales during peak periods. Supply adjustments and inventory management make it difficult for the platform to adjust supply plans in a timely manner, resulting in insufficient supply or mixed goods, and also increases the technical difficulty of the platform in the process of data integration and processing, limiting the efficiency and accuracy of supply chain management. The technical goals of achieving real-time sharing of supply chain information, standardization of data formats, and automated data update mechanisms are achieved, achieving the technical effects of improving the accuracy of supplier evaluation, real-time inventory scheduling, and optimizing supply chain management efficiency.

[0017] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0018] For example, please refer to the attached Figure 1 This application provides a product traceability method for global shared information technology, which specifically includes the following steps:

[0019] Step 1: Build an information sharing blockchain among multiple suppliers linked to the platform, upload the product inventory quantity and supply quantity of the multiple suppliers in historical time, and obtain global shared information.

[0020] Specifically, among the multiple suppliers linked to the platform in the global shared information-based product traceability platform, an information sharing blockchain is constructed through blockchain technology to centralize the relevant data of each supplier on a unified blockchain. Blockchain technology can ensure that all uploaded information cannot be tampered with and is open and transparent, so that the product inventory quantity and supply quantity can be shared among suppliers. The product inventory quantity and supply quantity of each supplier in the historical time will be uploaded to the blockchain, and at the same time with a timestamp to ensure the accuracy and timeliness of the information, and form global shared information on the information sharing blockchain, so that all suppliers participating in the platform can see the production and supply status of other suppliers, and then can fully understand the inventory and supply situation of all suppliers, thereby improving operational efficiency and avoiding problems such as inventory backlog or insufficient supply caused by information asymmetry.

[0021] Step 2: Based on the global shared information, perform inventory rationality analysis on the multiple suppliers to obtain multiple inventory rationality parameters.

[0022] Specifically, based on the global shared information, through the shared global data, by comparing the difference between the actual inventory and theoretical inventory of suppliers, we analyze whether the inventory management of multiple suppliers is reasonable, and obtain multiple inventory rationality parameters to indicate the rationality of the supplier's inventory management. Among them, the normal production efficiency of the product is obtained. According to the inventory quantity, supply quantity and the time length between the corresponding timestamps at multiple historical time points of the supplier, the reasonable inventory quantity under normal production can be calculated, and then the deviation between the actual inventory quantity uploaded by the supplier and the reasonable inventory quantity is calculated to obtain the corresponding inventory rationality parameters. The inventory rationality parameters of multiple suppliers can be used to optimize the supply chain, avoid excessive inventory backlogs or insufficient supply problems, and thus improve overall efficiency.

[0023] Step three: Based on the global shared information, make a comprehensive product quality change prediction for each supplier, and perform an independent product quality change analysis for each supplier to obtain multiple comprehensive product quality change parameters and multiple independent product quality change parameters.

[0024] Specifically, the supplier data shared by the entire domain is used to predict the overall product quality changes of each supplier, predict the product quality change trends of each supplier in the future, and obtain multiple comprehensive product quality change parameters. Among them, the product quality changes are analyzed based on the inventory quantity, supply quantity and timestamp. The more inventory quantity, the more supply quantity, and the shorter the timestamp interval, the greater the probability that the supplier will speed up production or pass off inferior products as good ones, and the product quality change may be negative, that is, the quality is reduced. At the same time, the product quality changes of each supplier are independently analyzed based on the supplier data shared by the entire domain, and the deviation from the average quality is calculated to obtain multiple independent product quality change parameters. Through multiple comprehensive product quality change parameters and multiple independent product quality change parameters, we can fully understand the quality fluctuations of each supplier, identify suppliers with large quality fluctuations, and make adjustments.

[0025] Step 4: Based on the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, calculate and classify to obtain multiple product traceability information, identify multiple suppliers in the platform, and complete product traceability identification.

[0026] Specifically, based on multiple inventory rationality parameters, multiple comprehensive product quality change parameters, and multiple independent product quality change parameters, weighted calculations and classifications are performed to obtain multiple product traceability information, identify multiple suppliers within the platform, and complete product traceability identification. For example, if a supplier's product quality fluctuates greatly and there are problems with inventory management, it will be identified as a high-risk supplier and its relevant situation will be noted in the traceability information. Ultimately, by completing the traceability identification of each supplier, it is ensured that product quality and inventory problems can be discovered and tracked in a timely manner, thereby improving the transparency and efficiency of supply chain management.

[0027] The product traceability method of global shared information technology can achieve the technical goals of real-time sharing of supply chain information, standardization of data formats and automated data update mechanism, and achieve the technical effects of improving the accuracy of supplier evaluation, real-time inventory scheduling and optimizing supply chain management efficiency.

[0028] Furthermore, the present application also includes: constructing multiple blockchain nodes among multiple suppliers linked to the platform, wherein the multiple suppliers supply the same type of products; constructing an information sharing blockchain based on the multiple blockchain nodes; obtaining the product quantity and supply quantity of the multiple suppliers in a historical period, combining the corresponding data timestamps, constructing data blocks, uploading them to the information sharing blockchain, and obtaining domain-wide shared information.

[0029] Specifically, the platform link in the global shared information-based product traceability platform is connected to multiple suppliers. Among them, multiple suppliers are multiple suppliers that supply the same type of products, that is, multiple suppliers supply the same type of products, and the products produced by multiple suppliers have the same process and type. Multiple nodes are created between multiple suppliers through blockchain technology. Each blockchain node represents a supplier, and a blockchain node is a virtual ledger or information point composed of data and information generated by the supplier.

[0030] After multiple blockchain nodes are established, an information sharing blockchain is established through blockchain technology. Information between all nodes can be exchanged and shared openly and transparently, so that each supplier's product information can be recorded and shared in a global, tamper-proof ledger.

[0031] The production quantity and actual supply quantity of each supplier in the past period of time are collected, and this information is combined with the timestamp (that is, the specific time when the information is recorded) to form a data block. The data block contains specific data on production and supply, such as 5,000 pieces of products were produced and 4,500 pieces were supplied in two months. The data block is uploaded to the information sharing blockchain and becomes part of the shared information, thereby providing global and real-time supply chain information that all suppliers can view at any time, which helps to improve the transparency of the supply chain and avoid supply chain problems caused by inaccurate data.

[0032] Information sharing and transparency among multiple suppliers are achieved through blockchain technology. The data of each supplier is recorded into blocks and uploaded to the blockchain to ensure that the data cannot be tampered with and is highly accessible, thereby optimizing supply chain management, improving platform efficiency, and avoiding the problem of cross-selling between suppliers.

[0033] Furthermore, the present application also includes: extracting the first historical inventory quantity sequence, the first historical supply quantity sequence and the first historical timestamp sequence of the first supplier among the multiple suppliers within a preset historical time range based on the global shared information; obtaining a preset production rate of the product, calculating a first reasonable inventory quantity sequence based on the first historical timestamp sequence, and analyzing and obtaining a first inventory rationality parameter in combination with the first historical inventory quantity sequence; continuing to perform inventory rationality analysis on multiple other suppliers based on the global shared information to obtain multiple inventory rationality parameters.

[0034] Specifically, from the global shared information, a supplier is randomly selected from multiple suppliers as the first supplier, and the inventory quantity, supply quantity and time length between the corresponding timestamps of the first supplier at multiple time points within the preset historical time range are extracted. Among them, the preset historical time range is customized by those skilled in the art according to actual conditions. The inventory quantity, supply quantity and time length between the corresponding timestamps at multiple time points are recorded in chronological order to obtain the first historical inventory quantity sequence, the first historical supply quantity sequence and the first historical timestamp sequence of the first supplier.

[0035] Obtain a preset production rate for the product. The preset production rate is an indicator of production efficiency and is customized by a person skilled in the art according to actual conditions. Multiply the preset production rate by the time interval in the first historical timestamp sequence to obtain multiple reasonable inventory quantities. Combine multiple reasonable inventory quantities in chronological order to obtain a first reasonable inventory quantity sequence. Perform an analysis such as inventory quantity comparison on the reasonable inventory quantities in the first reasonable inventory quantity sequence and the historical inventory quantities in the first historical inventory quantity sequence to obtain a first inventory rationality parameter.

[0036] According to the method of obtaining the first inventory rationality parameter of the first supplier, continue to perform inventory rationality analysis based on multiple other suppliers in the global shared information to obtain multiple inventory rationality parameters, such as the second inventory rationality parameter of the second supplier and the third inventory rationality parameter of the third supplier.

[0037] By extracting each supplier's historical inventory and supply data, as well as timestamp records, combined with preset production rates, the theoretical reasonable inventory is calculated, and the supplier's inventory management level is analyzed by comparing the actual inventory with the reasonable inventory. By comparing the rationality parameters of different suppliers, the supplier's inventory optimization strategy is identified, thereby improving the efficiency and responsiveness of the overall supply chain.

[0038] Furthermore, the present application also includes: obtaining the first first historical inventory quantity in the first historical inventory quantity sequence, combining the first historical timestamp sequence, the preset production rate and the first historical supply quantity sequence, and calculating and constructing a first reasonable inventory quantity sequence, wherein a reasonable production quantity is calculated based on the preset production rate and the time interval between the two first historical timestamps, and a reasonable inventory quantity is calculated in combination with the first historical supply quantity; combining the first historical inventory quantity sequence and the first reasonable inventory quantity sequence, calculating multiple inventory quantity deviation amplitudes as a first inventory abnormality parameter sequence; calculating the mean of the first inventory abnormality parameter sequence, and subtracting the mean from 1 to obtain a first inventory rationality parameter.

[0039] Specifically, the first historical inventory quantity corresponding to the first time point in the first historical inventory quantity sequence is obtained, and the theoretical reasonable inventory quantity at each time point is calculated by combining the first historical timestamp sequence, the preset production rate and the first historical supply quantity sequence to obtain the first reasonable inventory quantity sequence.

[0040] The preset production rate is an indicator of production efficiency, such as producing three hundred products per day. The time interval between two first historical timestamps refers to the time interval corresponding to the inventory quantity at the beginning of the time point corresponding to the first time point and at the end of the time point.

[0041] The product of the preset production rate and the time interval of the two first historical timestamps is calculated to obtain the reasonable production quantity corresponding to the first time point. The reasonable production quantity is subtracted from the first historical supply quantity to obtain the reasonable inventory quantity. According to the calculation method of the reasonable inventory quantity at the first time point, the reasonable inventory quantity at each time point is calculated, and combined in chronological order to obtain the first reasonable inventory quantity sequence.

[0042] Calculate and obtain multiple inventory quantity deviation amplitudes, such as calculating the difference between the reasonable inventory quantity and the historical inventory quantity at each time point, and calculating the ratio with the reasonable inventory quantity, and taking the ratio result as the inventory quantity deviation amplitude. When the inventory quantity deviation amplitude is positive or 0, it indicates reasonableness, and when the inventory quantity deviation amplitude is negative, it indicates unreasonableness. Combine multiple inventory quantity deviation amplitudes to obtain the first inventory abnormality parameter sequence.

[0043] Calculate the mean of multiple inventory quantity deviation amplitudes in the first inventory abnormal parameter sequence, and subtract the mean from 1 to obtain the first inventory rationality parameter, and generate a rationality parameter to measure the inventory management level. The closer the first inventory rationality parameter is to 1, the better the inventory management is. Otherwise, the worse it is.

[0044] By obtaining the first inventory rationality parameter, it is helpful to understand the inventory status of suppliers, discover and optimize problems, and improve the stability and efficiency of the overall supply chain.

[0045] Furthermore, the present application also includes: based on the global shared information, extracting multiple historical inventory quantity sequences, multiple historical supply quantity sequences and multiple historical timestamp sequences of the multiple suppliers within a preset historical time range; respectively combining the multiple historical inventory quantity sequences, multiple historical supply quantity sequences and multiple historical timestamp sequences, and inputting them into a product quality change prediction channel to predict and obtain multiple product quality change parameters, wherein the product quality change prediction channel is trained using sample historical inventory quantity sequences, sample historical supply quantity sequences, sample historical timestamp sequences and sample product quality change parameters, and each sample product quality change parameter is obtained by testing product quality changes and labeling them; and using the multiple product quality change parameters as multiple comprehensive product quality change parameters.

[0046] Specifically, based on the global shared information, multiple historical inventory quantity series, multiple historical supply quantity series and multiple historical timestamp series at multiple suppliers at multiple time points within a preset historical time range are extracted, providing basic information for subsequent predictions of product quality changes.

[0047] The sample historical inventory quantity series, sample historical supply quantity series, sample historical timestamp series and sample product quality change parameter training of multiple suppliers in historical time are used to learn the relationship between historical inventory and supply patterns and product quality, and obtain the product quality change prediction channel. Each sample product quality change parameter is obtained by testing product quality changes and annotating them, such as testing product yield changes, and annotating them as sample product quality change parameters.

[0048] Multiple historical inventory quantity series, multiple historical supply quantity series, and multiple historical time stamp series are input into the product quality change prediction channel according to the corresponding supplier combination to predict multiple product quality change parameters. The historical time corresponding to the multiple historical inventory quantity series, multiple historical supply quantity series, and multiple historical time stamp series is different from the historical time corresponding to the sample historical inventory quantity series, the sample historical supply quantity series, and the sample historical time stamp series.

[0049] Multiple product quality change parameters are used as multiple comprehensive product quality change parameters to reflect the product quality changes of each supplier within a preset historical time range, thereby identifying quality problems and taking them into consideration in future procurement decisions.

[0050] Through global shared data, historical inventory, supply and time data of multiple suppliers are extracted, and then these data are input into a product quality change prediction model to predict the product quality change trend of each supplier. Finally, these prediction results are used as comprehensive quality change parameters to guide subsequent supply chain management and decision-making, thereby optimizing the product quality and operational efficiency of the entire supply chain.

[0051] Furthermore, the present application also includes: selecting a first product quality change parameter of a first supplier from the multiple product quality change parameters, and calculating the average of multiple product quality change parameters of other suppliers to obtain a benchmark average product quality change parameter; calculating the deviation amplitude between the first product quality change parameter and the benchmark average product quality change parameter to obtain a first independent product quality change parameter; and continuing to calculate and analyze to obtain multiple independent product quality change parameters.

[0052] Specifically, a supplier is randomly selected from multiple suppliers as the first supplier. The product quality change parameters of the first supplier are obtained by inputting the historical inventory quantity sequence, the first historical supply quantity sequence and the first historical timestamp sequence into the product quality change prediction channel as the first product quality change parameters. According to the method for obtaining the first product quality change parameters of the first supplier, multiple product quality change parameters of multiple other suppliers are obtained. The mean of multiple product quality change parameters is calculated to obtain the benchmark average product quality change parameters, which provides a standard reference for subsequent comparative analysis.

[0053] Calculate the deviation amplitude of the first product quality change parameter from the reference average product quality change parameter, such as calculating the difference between the first product quality change parameter and the reference average product quality change parameter, and then use the difference to the reference average product quality change parameter ratio to obtain the first independent product quality change parameter. The larger the absolute value of the first independent product quality change parameter, the larger the deviation amplitude, and the greater the abnormality of the first supplier's product quality, and vice versa.

[0054] According to the method of obtaining the first independent product quality change parameter, continue to calculate multiple independent product quality change parameters of multiple other suppliers. The quality change parameter of each supplier will be compared with the benchmark average value to obtain the corresponding deviation amplitude, thereby obtaining multiple independent quality change parameters, which will provide reference for subsequent quality management and decision-making, and help identify suppliers with prominent quality problems.

[0055] By selecting a reference supplier from the product quality change parameters of multiple suppliers and calculating the mean of other suppliers, the benchmark average product quality change parameters are obtained. Then, the deviation between the quality change parameters of the first supplier and the benchmark parameters is calculated to obtain independent quality change parameters. The same analysis is then performed on all suppliers to obtain multiple independent quality change parameters. If the quality change parameters of a supplier deviate greatly from the benchmark value, it may mean that the quality fluctuations of the supplier are large and require special attention. On the contrary, if the deviation is small, it means that the quality changes of its products are stable and meet the standards. The analysis can effectively evaluate and monitor the quality performance of suppliers and help optimize supply chain management.

[0056] Furthermore, the present application also includes: weighted calculation of the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters to obtain multiple product quality information; inputting the multiple product quality information into a product traceability classification channel, and classifying to obtain multiple product traceability information, wherein the product traceability classification channel is obtained by constructing a mapping relationship between sample product quality information and sample product traceability quality grade; and using the multiple product traceability information to identify multiple suppliers in the platform.

[0057] Specifically, the inventory rationality, overall product quality change and independent product quality change parameters of multiple suppliers are weighted and calculated. Each parameter is assigned a different weight according to its importance during the weighted calculation, and finally the comprehensive product quality information is obtained. Among them, the weight is obtained by a technician in this field according to the actual situation.

[0058] The product traceability classification channel is obtained by constructing a mapping relationship between sample product quality information and sample product traceability quality grades. The product traceability classification channel uses the sample product quality information and traceability quality grades to construct a mapping relationship. Sample product quality information includes specific quality data, such as the value of product testing, while the traceability quality grade is assigned to the product according to the quality status of the product. For example, if the test result of the product is excellent, it is assigned to grade A, and if the test result is poor, it is assigned to grade C.

[0059] Input multiple product quality information into the product traceability classification channel, classify different product qualities, and obtain multiple product traceability quality levels as multiple product traceability information, thereby effectively managing and controlling product quality and ensuring the stability and reliability of the supply chain.

[0060] The multiple product traceability information is used to identify multiple suppliers in the platform. The identification can classify suppliers into different quality levels according to the classification results of the product quality traceability information. If the supplier's product quality is stable and meets the standards, it may be identified as a "high-quality supplier"; while suppliers with large fluctuations in product quality may be identified as "low-quality suppliers", which will help to give priority to future procurement decisions or optimize supply chain management.

[0061] Through weighted calculation of multiple parameters, the comprehensive product quality information of suppliers is obtained, and then this information is input into the traceability classification model, the quality of products is classified according to historical data, and the quality of suppliers is marked according to the classification results. When managing suppliers, suppliers with better product quality can be identified more accurately, thereby making more reasonable decisions in procurement and supply chain management.

[0062] In summary, the global shared information-based product traceability method provided by the present application has the following technical effects: by constructing an information sharing blockchain among multiple suppliers linked to the platform, uploading the product inventory quantity and supply quantity of the multiple suppliers in historical time, and obtaining global shared information; based on the global shared information, performing inventory rationality analysis of the multiple suppliers, and obtaining multiple inventory rationality parameters; based on the global shared information, performing a comprehensive product quality change prediction for each supplier, and performing an independent product quality change analysis for each supplier, and obtaining multiple comprehensive product quality change parameters and multiple independent product quality change parameters; based on the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, calculating and classifying to obtain multiple product traceability information, identifying multiple suppliers in the platform, and completing product traceability identification, that is, by realizing the technical goals of real-time sharing of supply chain information, standardization of data formats and automated data update mechanism, the technical effects of improving supplier evaluation accuracy, real-time inventory scheduling and optimizing supply chain management efficiency are achieved.

[0063] Embodiment 2: Based on the global shared information-based product tracing method in the previous embodiment, the present application also provides a global shared information-based product tracing platform, please refer to the attached Figure 2 , including: a blockchain construction module 11, the blockchain construction module 11 is used to build an information sharing blockchain among multiple suppliers linked to the platform, upload the product inventory quantity and supply quantity of the multiple suppliers in the historical time, and obtain the global shared information; an inventory rationality analysis module 12, the inventory rationality analysis module 12 is used to perform inventory rationality analysis of the multiple suppliers according to the global shared information, and obtain multiple inventory rationality parameters; a quality change analysis module 13, the quality change analysis module 13 is used to perform a comprehensive product quality change prediction for each supplier according to the global shared information, and perform an independent product quality change analysis for each supplier, and obtain multiple comprehensive product quality change parameters and multiple independent product quality change parameters; a product traceability module 14, the product traceability module 14 is used to calculate and classify multiple product traceability information according to the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, identify multiple suppliers in the platform, and complete product traceability identification.

[0064] Furthermore, the global shared information-based product traceability platform is also used to: construct multiple blockchain nodes among multiple suppliers linked to the platform, wherein the multiple suppliers supply the same type of products; construct an information sharing blockchain based on the multiple blockchain nodes; obtain the product quantity and supply quantity of the multiple suppliers in historical time, combine with the corresponding data timestamps, construct data blocks, upload to the information sharing blockchain, and obtain global shared information.

[0065] Furthermore, the globally shared information-based product traceability platform is also used to: extract the first historical inventory quantity sequence, the first historical supply quantity sequence and the first historical timestamp sequence of the first supplier among the multiple suppliers within a preset historical time range based on the globally shared information; obtain a preset production rate of the product, calculate a first reasonable inventory quantity sequence based on the first historical timestamp sequence, and analyze and obtain a first inventory rationality parameter in combination with the first historical inventory quantity sequence; continue to perform inventory rationality analysis on multiple other suppliers based on the globally shared information to obtain multiple inventory rationality parameters.

[0066] Furthermore, the global shared information-based product traceability platform is also used to: obtain the first first historical inventory quantity in the first historical inventory quantity sequence, and calculate and construct a first reasonable inventory quantity sequence in combination with the first historical timestamp sequence, the preset production rate and the first historical supply quantity sequence, wherein a reasonable production quantity is calculated based on the preset production rate and the time interval between the two first historical timestamps, and a reasonable inventory quantity is calculated in combination with the first historical supply quantity; in combination with the first historical inventory quantity sequence and the first reasonable inventory quantity sequence, multiple inventory quantity deviation amplitudes are calculated as a first inventory abnormality parameter sequence; the mean of the first inventory abnormality parameter sequence is calculated, and the mean is subtracted from 1 to obtain a first inventory rationality parameter.

[0067] Furthermore, the globally shared information-based product traceability platform is also used to: extract multiple historical inventory quantity sequences, multiple historical supply quantity sequences and multiple historical timestamp sequences of the multiple suppliers within a preset historical time range based on the globally shared information; respectively combine the multiple historical inventory quantity sequences, multiple historical supply quantity sequences and multiple historical timestamp sequences, and input them into a product quality change prediction channel to predict and obtain multiple product quality change parameters, wherein the product quality change prediction channel is trained using sample historical inventory quantity sequences, sample historical supply quantity sequences, sample historical timestamp sequences and sample product quality change parameters, and each sample product quality change parameter is obtained by testing product quality changes and labeling them; and use the multiple product quality change parameters as multiple comprehensive product quality change parameters.

[0068] Furthermore, the global shared information-based product traceability platform is also used to: select a first product quality change parameter of a first supplier from the multiple product quality change parameters, and calculate the average of multiple product quality change parameters of other suppliers to obtain a benchmark average product quality change parameter; calculate the deviation amplitude between the first product quality change parameter and the benchmark average product quality change parameter to obtain a first independent product quality change parameter; and continue to calculate and analyze to obtain multiple independent product quality change parameters.

[0069] Furthermore, the global shared information-based product traceability platform is also used to: perform weighted calculations on the multiple inventory rationality parameters, the multiple comprehensive product quality change parameters, and the multiple independent product quality change parameters to obtain multiple product quality information; input the multiple product quality information into a product traceability classification channel to obtain multiple product traceability information by classification, wherein the product traceability classification channel is obtained by constructing a mapping relationship between sample product quality information and sample product traceability quality grades; and use the multiple product traceability information to identify multiple suppliers in the platform.

[0070] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The global shared information-based product tracing method and specific examples in the aforementioned embodiment 1 are also applicable to the global shared information-based product tracing platform of this embodiment. Through the aforementioned detailed description of the global shared information-based product tracing method, those skilled in the art can clearly understand the global shared information-based product tracing platform of this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0071] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0072] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A global shared information-based product traceability method, characterized by: The method comprises: Among the multiple suppliers linked to the platform, an information sharing blockchain is constructed to upload the product inventory and supply quantities of the multiple suppliers in historical time to obtain global shared information; Performing inventory rationality analysis on the multiple suppliers based on the global shared information to obtain multiple inventory rationality parameters; Based on the global shared information, a comprehensive product quality change prediction is performed for each supplier, and an independent product quality change analysis is performed for each supplier to obtain a plurality of comprehensive product quality change parameters and a plurality of independent product quality change parameters; According to the multiple inventory rationality parameters, the multiple comprehensive product quality change parameters and the multiple independent product quality change parameters, multiple product traceability information is obtained by calculation and classification, multiple suppliers in the platform are identified, and product traceability identification is completed; According to the global shared information, the inventory rationality analysis of the multiple suppliers is performed to obtain multiple inventory rationality parameters, including: Extracting, according to the global shared information, a first historical inventory quantity sequence, a first historical supply quantity sequence, and a first historical timestamp sequence of a first supplier among the multiple suppliers within a preset historical time range; Obtaining a preset production rate of the product, calculating a first reasonable inventory quantity sequence according to the first historical timestamp sequence, and analyzing and obtaining a first inventory rationality parameter in combination with the first historical inventory quantity sequence; Continue to perform inventory rationality analysis of multiple other suppliers based on the global shared information to obtain multiple inventory rationality parameters; Based on the global shared information, a comprehensive product quality change forecast for each supplier is conducted, including: Extracting, based on the global shared information, multiple historical inventory quantity sequences, multiple historical supply quantity sequences, and multiple historical timestamp sequences of the multiple suppliers within a preset historical time range; The multiple historical inventory quantity sequences, the multiple historical supply quantity sequences, and the multiple historical timestamp sequences are respectively combined and input into a product quality change prediction channel to predict and obtain multiple product quality change parameters, wherein the product quality change prediction channel is obtained by training with sample historical inventory quantity sequences, sample historical supply quantity sequences, sample historical timestamp sequences, and sample product quality change parameters, and each sample product quality change parameter is obtained by testing product quality changes and annotating them; using the multiple product quality change parameters as multiple comprehensive product quality change parameters; Conduct an independent product quality variation analysis for each supplier, including: Selecting a first product quality change parameter of a first supplier from among the plurality of product quality change parameters, and calculating an average of a plurality of product quality change parameters of other suppliers to obtain a benchmark average product quality change parameter; Calculating the deviation amplitude between the first product quality change parameter and the reference average product quality change parameter to obtain a first independent product quality change parameter; Continue to calculate and analyze to obtain multiple independent product quality change parameters.

2. The product tracing method of global shared informationization according to claim 1 is characterized in that: Build an information sharing blockchain among multiple suppliers linked to the platform, including: Among the multiple suppliers linked to the platform, construct multiple blockchain nodes, wherein the multiple suppliers supply the same type of products; Based on the multiple blockchain nodes, construct an information sharing blockchain; The product quantity and supply quantity of the multiple suppliers in the historical period are obtained, combined with the corresponding data timestamps, data blocks are constructed, uploaded to the information sharing blockchain, and the global shared information is obtained.

3. The product tracing method of global shared informationization according to claim 1 is characterized in that: Obtaining a preset production rate of a product, calculating a first reasonable inventory quantity sequence according to the first historical timestamp sequence, and analyzing and obtaining a first inventory rationality parameter in combination with the first historical inventory quantity sequence, including: The first first historical inventory quantity in the first historical inventory quantity sequence is obtained, and a first reasonable inventory quantity sequence is calculated and constructed by combining the first historical timestamp sequence, the preset production rate and the first historical supply quantity sequence, wherein a reasonable production quantity is calculated according to the preset production rate and the time interval between the two first historical timestamps, and a reasonable inventory quantity is calculated by combining the first historical supply quantity; Combining the first historical inventory quantity sequence and the first reasonable inventory quantity sequence, a plurality of inventory quantity deviation amplitudes are calculated to obtain the first inventory abnormality parameter sequence; The mean of the first inventory abnormality parameter sequence is calculated, and the mean is subtracted from 1 to obtain the first inventory rationality parameter.

4. The product tracing method based on global shared information technology according to claim 1 is characterized in that: According to the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, multiple product traceability information is calculated and classified to identify multiple suppliers in the platform, including: Performing weighted calculation on the multiple inventory rationality parameters, the multiple comprehensive product quality change parameters, and the multiple independent product quality change parameters to obtain multiple product quality information; Input the multiple product quality information into a product traceability classification channel, and classify and obtain multiple product traceability information, wherein the product traceability classification channel is obtained by constructing a mapping relationship between sample product quality information and sample product traceability quality grade; The plurality of product traceability information is used to identify the plurality of suppliers in the platform.

5. The global shared information-based product traceability platform is characterized by: The steps for implementing the global shared information product traceability method according to any one of claims 1 to 4 include: A blockchain construction module, which is used to construct an information sharing blockchain among multiple suppliers linked to the platform, upload the product inventory quantity and supply quantity of the multiple suppliers in historical time, and obtain global shared information; An inventory rationality analysis module, the inventory rationality analysis module is used to perform inventory rationality analysis of the multiple suppliers based on the global shared information to obtain multiple inventory rationality parameters; A quality change analysis module, the quality change analysis module is used to predict the overall product quality change of each supplier and analyze the independent product quality change of each supplier based on the global shared information, and obtain multiple overall product quality change parameters and multiple independent product quality change parameters; The product traceability module is used to calculate and classify multiple product traceability information based on the multiple inventory rationality parameters, multiple comprehensive product quality change parameters and multiple independent product quality change parameters, identify multiple suppliers in the platform, and complete product traceability identification.

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