A product quality safety traceability method and system based on wasabi sauce

Abstract

The present invention relates to the field of food quality and safety management and traceability technology, and in particular to a product quality and safety traceability method and system based on wasabi sauce. The method comprises the following steps: obtaining data related to wasabi sauce products; performing data cleaning on the data related to wasabi sauce products to generate wasabi sauce product cleaning data; performing data encapsulation on the wasabi sauce product cleaning data to generate wasabi sauce product encapsulation data; performing data identification on the wasabi sauce product encapsulation data to obtain wasabi sauce product identification data; uploading the wasabi sauce product identification data to a blockchain distributed ledger for recording to form wasabi sauce information archive data. The present invention improves the efficiency and level of wasabi sauce product quality management by introducing advanced data collection and preprocessing, data mining and analysis, data encryption and storage, and RFID tag technology.

Description

Technical Field

[0001] The present invention relates to the technical field of food quality safety management and traceability, and in particular to a product quality safety traceability method and system based on wasabi sauce. Background Art

[0002] As a popular condiment, the traceability method and system of wasabi sauce is based on the growing concern of consumers for food safety and strict requirements for product quality. In order to ensure that every link of wasabi sauce from production to sales can be effectively monitored and traced, modern technology has built a complete traceability system through data collection, blockchain, RFID, encryption algorithm and other means. The system can collect detailed data of production, processing, transportation, sales and other links in real time, record the tamper-proof product information archive through blockchain technology, so as to achieve transparent management, and provide consumers with convenient traceability information query services through QR code or RFID tag technology. Data encryption technology ensures the security of information and prevents data leakage and tampering during transmission and storage. However, the existing technology still has some shortcomings in practical application, such as insufficient adaptability of data collection equipment and technology in different production environments, the efficiency of data processing and storage needs to be improved, and the high energy consumption problem of blockchain technology has not been solved. In addition, for small-scale production enterprises, the implementation cost is high and the technical threshold is high, which leads to challenges in its promotion and popularization. These shortcomings limit the application and popularization of the traceability system on a wider scale, and further technical improvements and optimizations are needed to enhance its practicality and cost-effectiveness. Summary of the invention

[0003] Based on this, it is necessary to provide a product quality and safety traceability method and system based on wasabi sauce to solve at least one of the above technical problems.

[0004] To achieve the above object, a product quality safety traceability method based on wasabi sauce is provided, the method comprising the following steps:

[0005] Step S1: Acquire data related to wasabi sauce products; clean the data related to wasabi sauce products to generate wasabi sauce product cleaned data; encapsulate the wasabi sauce product cleaned data to generate wasabi sauce product encapsulated data; identify the wasabi sauce product encapsulated data to obtain wasabi sauce product identification data; upload the wasabi sauce product identification data to the blockchain distributed ledger for recording, forming wasabi sauce information archive data.

[0006] Step S2: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data; performing hierarchical model regression statistical analysis on the first-level data and the second-level data to generate a wasabi sauce first-level quality report and a wasabi sauce second-level quality report; performing data merging processing on the wasabi sauce first-level quality report and the wasabi sauce second-level quality report to generate a wasabi sauce quality comparison report; performing archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data;

[0007] Step S3: encrypt the wasabi sauce information file data using an encryption algorithm to generate wasabi sauce encrypted data and an AES key; perform distributed computing storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file; upload the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information file according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

[0008] The present invention provides a comprehensive data protection and traceability mechanism, and through the data collection and preprocessing module in the middle, ensures the reliability and integrity of the data related to the wasabi sauce product, and records it in the blockchain distributed account book to form information archive data to ensure the immutability and transparency of the data. The data mining and analysis module uses association rule mining technology to deeply analyze product information data, extract product quality influencing factors, and provide enterprises with a deep understanding of product quality and improvement direction. Through the data encryption and storage module, the information archive data is encrypted and stored to ensure the security and privacy protection of the data. The RFID tag technology is embedded in the QR code to realize the traceability management of the product, and further improve the transparency and trust of the product. This series of data management measures not only helps to improve the quality and safety of wasabi sauce products, but also provides important data support for corporate decision-making and regulatory departments, which is beneficial to the sustainable development and improvement of the entire industrial chain. Therefore, the present invention improves the efficiency and level of wasabi sauce product quality management by introducing advanced data collection and preprocessing, data mining and analysis, data encryption and storage, and RFID tag technology.

[0009] In the present specification, a product quality safety traceability system based on wasabi sauce is provided, which is used to execute the product quality safety traceability method based on wasabi sauce. The product quality safety traceability system based on wasabi sauce includes:

[0010] The data collection and preprocessing module is used to obtain data related to wasabi sauce products; clean the data related to wasabi sauce products to generate wasabi sauce product cleaned data; encapsulate the wasabi sauce product cleaned data to generate wasabi sauce product encapsulated data; identify the wasabi sauce product encapsulated data to obtain wasabi sauce product identification data; upload the wasabi sauce product identification data to the blockchain distributed ledger for recording, forming wasabi sauce information archive data;

[0011] The data mining and analysis module is used to perform data mining processing on the wasabi sauce information archive data using the association rule mining technology to generate the wasabi sauce association rule mining data; perform association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; input the wasabi sauce product quality influencing factors into the preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into high-grade quality data and low-grade quality data; perform hierarchical model regression statistical analysis on the high-grade quality data and the low-grade quality data to generate a wasabi sauce high-grade quality report and a wasabi sauce low-grade quality report; perform data merging processing on the wasabi sauce high-grade quality report and the wasabi sauce low-grade quality report to generate a wasabi sauce quality comparison report; perform archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data;

[0012] The data encryption and storage module is used to encrypt the wasabi sauce information archive data using an encryption algorithm to generate wasabi sauce encrypted data and AES keys; perform distributed computing and storage processing on the wasabi sauce encrypted data to obtain the wasabi sauce product information archive; upload the wasabi sauce product information archive to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information archive according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information archive data.

[0013] The beneficial effect of the present invention is to provide a comprehensive data management and protection mechanism for wasabi sauce products. First, through the data acquisition and preprocessing module, the accuracy and integrity of the data related to the wasabi sauce product are ensured, providing a reliable basis for subsequent data processing. The data mining and analysis module uses association rule mining technology to deeply analyze the wasabi sauce information archive data, extract product quality influencing factors, and classify and rate the products through machine learning models, thereby helping enterprises understand product quality status and improvement directions. The data encryption and storage module uses encryption algorithms to protect the security of data, and distributed computing storage and cloud platform distribution processing guarantee the reliability and accessibility of data. Finally, by embedding RFID tag technology in the QR code, the traceability management of the product is realized, and the transparency and trust of the product are further improved. This series of data management measures not only helps to improve the quality and safety of wasabi sauce products, but also provides important data support for enterprise decision-making and regulatory departments, which is beneficial to the sustainable development and improvement of the entire industrial chain. Therefore, the present invention improves the efficiency and level of wasabi sauce product quality management by introducing advanced data acquisition and preprocessing, data mining and analysis, data encryption and storage, and RFID tag technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of the steps of a product quality safety traceability method based on wasabi sauce;

[0015] Figure 2 for Figure 1 Detailed implementation steps of step S2 in the flowchart;

[0016] Figure 3 for Figure 2 Detailed implementation steps of step S22;

[0017] Figure 4 for Figure 1 Detailed implementation steps of step S3 in FIG.

[0018] Figure 5 for Figure 4 Detailed implementation steps of step S34 are shown in the flowchart;

[0019] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0022] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0023] To achieve this, please refer to Figures 1 to 4 A product quality safety traceability method based on wasabi sauce, the method comprising the following steps:

[0024] Step S1: Acquire data related to wasabi sauce products; clean the data related to wasabi sauce products to generate wasabi sauce product cleaned data; encapsulate the wasabi sauce product cleaned data to generate wasabi sauce product encapsulated data; identify the wasabi sauce product encapsulated data to obtain wasabi sauce product identification data; upload the wasabi sauce product identification data to the blockchain distributed ledger for recording, forming wasabi sauce information archive data.

[0025] Step S2: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data; performing hierarchical model regression statistical analysis on the first-level data and the second-level data to generate a wasabi sauce first-level quality report and a wasabi sauce second-level quality report; performing data merging processing on the wasabi sauce first-level quality report and the wasabi sauce second-level quality report to generate a wasabi sauce quality comparison report; performing archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data;

[0026] Step S3: encrypt the wasabi sauce information file data using an encryption algorithm to generate wasabi sauce encrypted data and an AES key; perform distributed computing storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file; upload the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information file according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

[0027] The present invention is a comprehensive processing and protection measure for the product information of wasabi sauce involved in the whole process. Data collection, cleaning, packaging and identification ensure the accuracy and consistency of the original data, and provide a reliable basis for subsequent analysis. The influencing factors of product quality are determined by association rule mining and association analysis, and combined with quality grading and report generation, it helps enterprises to fully understand the product quality status. Data encryption and distributed storage ensure the security and privacy of product information. At the same time, the cloud platform is used for data distribution and two-dimensional code traceability technology, so that product information can be traced back to the source, thereby improving the traceability and trust of the product. These measures help enterprise managers to better understand product quality and production processes, improve management efficiency and decision-making level, and also provide consumers with more reliable and safer products. Therefore, the present invention improves the efficiency and level of product quality management of wasabi sauce by introducing advanced data collection and preprocessing, data mining and analysis, data encryption and storage, and RFID tag technology.

[0028] In the embodiment of the present invention, reference Figure 1The above is a schematic flow chart of the steps of a product quality safety traceability method based on wasabi sauce of the present invention. In this example, the product quality safety traceability method based on wasabi sauce includes the following steps:

[0029] Step S1: obtaining data related to wasabi sauce products; performing data cleaning on the wasabi sauce product-related data to generate wasabi sauce product cleaning data; performing data packaging on the wasabi sauce product cleaning data to generate wasabi sauce product packaging data; performing data identification on the wasabi sauce product packaging data to obtain wasabi sauce product identification data; uploading the wasabi sauce product identification data to the blockchain distributed ledger for recording to form wasabi sauce information archive data;

[0030] In an embodiment of the present invention, data related to wasabi sauce products are obtained by using data acquisition technology, and then these data are processed by data cleaning technology to remove erroneous or inconsistent information, thereby generating cleaned wasabi sauce product data. Next, data encapsulation technology is used to organize and encapsulate the cleaned data for subsequent processing and transmission. Subsequently, data identification technology is used to identify the encapsulated data, and each piece of data is given a unique identifier for easy identification and management. Finally, blockchain distributed ledger technology is used to upload the identified product data to the blockchain network for recording, thereby achieving data immutability and decentralized storage, and forming wasabi sauce information archive data.

[0031] Step S2: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data; performing hierarchical model regression statistical analysis on the first-level data and the second-level data to generate a wasabi sauce first-level quality report and a wasabi sauce second-level quality report; performing data merging processing on the wasabi sauce first-level quality report and the wasabi sauce second-level quality report to generate a wasabi sauce quality comparison report; performing archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data;

[0032] In the embodiment of the present invention, the application of association rule mining technology involves the analysis of the information archive data of wasabi sauce to discover the hidden rules and correlations therein. This step includes data preprocessing, mining of frequent item sets, generation of association rules, etc. Subsequently, through association analysis, factors that have an important impact on the quality of wasabi sauce products, such as raw material sources, processing technology, etc., are identified. These factors are input into a preset multi-layer perceptron (MLP) model for feature classification to achieve segmentation and classification of the quality of wasabi sauce products. The MLP model can effectively classify products by learning patterns and features in the data, and further help understand the product quality characteristics. Subsequently, the hierarchical model regression statistical analysis method is used to evaluate and analyze data of different quality levels to generate corresponding superior and inferior product quality reports. This step involves the use of statistical methods to quantify product characteristics and performance at different quality levels. Finally, these reports are merged and processed to generate a comprehensive wasabi sauce quality comparison report for a comprehensive assessment of product quality.

[0033] Step S3: encrypt the wasabi sauce information file data using an encryption algorithm to generate wasabi sauce encrypted data and an AES key; perform distributed computing storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file; upload the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information file according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

[0034] In the embodiment of the present invention, the information archive data of wasabi sauce is encrypted by an encryption algorithm, wherein the AES (Advanced Encryption Standard) encryption algorithm is used, and corresponding encrypted data and keys are generated. Then, the encrypted data is processed and stored by using distributed computing storage technology to ensure the security and reliability of the data. Subsequently, the processed product information archive is uploaded to the cloud platform, and the data distribution and processing function of cloud computing is used to generate a wasabi sauce data set for distribution. In this process, the RFID (Radio-Frequency Identification) tag technology is used to embed the product data set into the QR code to form a QR code with a traceability function. The cloud platform receives and processes the user's scanning request for the traceability QR code, and extracts the corresponding wasabi sauce product information through the address data traversal technology to generate the corresponding address data. Finally, the encrypted data is decrypted based on the AES key to obtain the user information archive data to ensure the security and privacy of the data. The whole process comprehensively uses encryption algorithms, distributed computing storage, cloud computing data distribution, RFID tag technology, QR code traceability, and data decryption and other technical means to achieve the security management and traceability function of wasabi sauce product information.

[0035] Preferably, step S1 comprises the following steps:

[0036] Step S11: obtaining wasabi sauce product-related data, wherein the wasabi sauce product-related data includes production link data, raw material source data, processing technology data and quality inspection record data; performing data cleaning on the wasabi sauce product-related data to generate wasabi sauce product cleaning data;

[0037] Step S12: encapsulating the wasabi sauce product cleaning data to generate wasabi sauce product encapsulation data;

[0038] Step S13: marking the wasabi sauce product packaging data to obtain wasabi sauce product identification data;

[0039] Step S14: Upload the wasabi sauce product identification data to the blockchain distributed ledger for recording to form wasabi sauce information archive data.

[0040] The present invention realizes comprehensive traceability and management of product information from data collection to recording by establishing a complete wasabi sauce product information archive system. By obtaining the relevant data of wasabi sauce products and cleaning, packaging and labeling, the integrity, consistency and accuracy of the data are ensured, laying the foundation for subsequent information processing. Secondly, the product identification data is uploaded to the blockchain distributed ledger for recording, and the immutability and distributed storage characteristics of the blockchain are utilized to ensure the security and traceability of product information. Such a system architecture allows consumers and producers to easily trace the production process, raw material source, processing technology and quality inspection records of the product, thereby improving the quality credibility of the product and enhancing consumers' trust in the product. At the same time, it also provides effective data support for enterprises to carry out quality management and risk control.

[0041] In an embodiment of the present invention, data acquisition technology is used to obtain relevant data of wasabi sauce products, which include production link data, raw material source data, processing technology data and quality inspection record data to ensure that the system obtains comprehensive product information. Data acquisition technology involves multiple methods such as sensors, Internet of Things devices and manual input to ensure the real-time and accuracy of data. The collected data is cleaned and preprocessed using data cleaning technology to remove redundant information, correct erroneous data and fill in missing data, thereby ensuring the quality and consistency of the data. Cleaning technology includes methods such as filtering, standardization and normalization. The cleaned data is integrated and encapsulated by data encapsulation technology for subsequent processing and management. Data encapsulation technology involves data format conversion, structured storage and metadata management, etc., to ensure that data can be seamlessly transmitted and processed between different systems. Then, data identification technology is used to identify and identify the encapsulated data to ensure the uniqueness and identifiability of the data. Data identification technology uses a unique identifier (UUID) to give each piece of data a unique identifier. Finally, using blockchain distributed ledger technology, the product identification data is uploaded to the blockchain for recording to achieve secure storage and non-tamperability of the data. Blockchain technology ensures the security and transparency of data through consensus algorithms and encryption algorithms. Each data block contains the hash value of the previous block to form a chain structure.

[0042] Preferably, step S2 comprises the following steps:

[0043] Step S21: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing influencing factor association analysis on the wasabi sauce association rule mining data to obtain wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data;

[0044] Step S22: Performing classification model regression analysis on the first-level data and the second-level data to generate a first-level quality report of wasabi sauce and a second-level quality report of wasabi sauce; performing data merging processing on the first-level quality report of wasabi sauce and the second-level quality report of wasabi sauce to generate a quality comparison report of wasabi sauce;

[0045] Step S23: Performing archival data analysis and processing on the wasabi sauce quality comparison report to obtain wasabi sauce information archival data.

[0046] The present invention mines data through association rule mining technology, and can discover the potential rules and correlations therein, thereby identifying the key factors affecting the quality of wasabi sauce products. Subsequently, the influencing factor association analysis is performed on these factors, which can provide a deeper understanding of the relationship between them and provide a basis for subsequent quality evaluation. Inputting the quality influencing factors into a preset multi-layer perceptron (MLP) model for feature classification helps to classify and evaluate product quality more accurately and distinguish the quality data of superior and inferior products. Further, the hierarchical model regression statistical analysis method is adopted to evaluate and analyze data of different quality levels, generate high-level and low-level quality reports, and help enterprises to fully understand the product quality situation. Finally, through the comprehensive quality comparison report, enterprises can comprehensively evaluate product quality and take corresponding improvement measures for the problems found, thereby improving product quality and enterprise competitiveness. The combined application of these steps enables enterprises to have a deeper understanding of product quality status and provide strong support for quality management and improvement.

[0047] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes:

[0048] Step S21: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing influencing factor association analysis on the wasabi sauce association rule mining data to obtain wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data;

[0049] In the embodiment of the present invention, the information archive data of wasabi sauce is mined and processed to extract association rules, which contain relevant information about product quality. The association rule data obtained by mining is subjected to influencing factor association analysis to determine the factors affecting the quality of wasabi sauce products. After processing, these factors are input into a preset multi-layer perceptron (MLP) model for feature classification, thereby generating classification data of wasabi sauce. This process combines product quality factors with the MLP model, so that the system can automatically distinguish wasabi sauce products into first-level and second-level quality data.

[0050] Step S22: Performing classification model regression analysis on the first-level data and the second-level data to generate a first-level quality report of wasabi sauce and a second-level quality report of wasabi sauce; performing data merging processing on the first-level quality report of wasabi sauce and the second-level quality report of wasabi sauce to generate a quality comparison report of wasabi sauce;

[0051] In the embodiment of the present invention, the first-level data and the second-level data are subjected to a hierarchical model regression statistical analysis, and the data are processed by a statistical analysis method to identify the characteristics and trends of the quality data of superior and inferior products, and a corresponding quality report is generated. The generated wasabi sauce first-level quality report and wasabi sauce second-level quality report are subjected to data merging processing, and the relevant information in the two types of reports is integrated through data merging technology to form a wasabi sauce quality comparison report.

[0052] Step S23: Performing archival data analysis and processing on the wasabi sauce quality comparison report to obtain wasabi sauce information archival data.

[0053] In the embodiment of the present invention, data analysis and processing technology is used to analyze and process the archival data of the wasabi sauce quality comparison report. Statistical analysis and data mining data processing methods are used to deeply study the data in the quality comparison report and identify potential trends, correlations and abnormal situations.

[0054] Preferably, step S22 includes the following steps:

[0055] Step S221: retrieve the wasabi sauce information archive data for the first-level data to generate the first-level model result of the high-quality wasabi sauce; perform an influencing factor analysis based on the first-level model result of the wasabi sauce to generate the high-quality quality influencing factor, and use the MLP model technology to increase the weight ratio of the high-quality quality influencing factor to generate the second-class model result of the high-quality wasabi sauce;

[0056] Step S222: Compare the data of the first-level model result of the high-quality wasabi sauce and the second-level model result of the high-quality wasabi sauce to generate a high-quality wasabi sauce quality comparison report;

[0057] Step S223: retrieve the wasabi sauce information archive data for the second-level data to generate the first-level model result of defective wasabi sauce; perform an impact factor analysis based on the first-level model result of defective wasabi sauce to generate defective impact factors, and use the MLP model technology to reduce the weight ratio of the defective quality impact factor to generate the second-class model result of defective wasabi sauce;

[0058] Step S224: performing data comparison on the first-level model result of defective wasabi sauce and the second-level model result of defective wasabi sauce, and generating a quality comparison report of defective wasabi sauce;

[0059] Step S225: Merge the data of the quality comparison report of the superior wasabi sauce and the quality comparison report of the inferior wasabi sauce to generate a quality comparison report of the wasabi sauce.

[0060] The present invention distinguishes and optimizes product quality management through refinement. Specifically, the information archive data is retrieved and the first-class model results are generated through the first-class data and the second-class data, and then the influencing factor analysis is performed to obtain the quality influencing factors of superior and inferior products respectively. Using the MLP model technology, the weight ratio of the superior quality influencing factor is increased to optimize the superior product quality model, while the weight ratio of the superior quality influencing factor is reduced to optimize the inferior product quality model, thereby generating a more accurate second-class model result. By comparing the data of the first-class and second-class model results, the superior and inferior quality comparison reports are generated respectively, which show the characteristics and quality influencing factors of products of different quality grades in detail. Finally, through step S225, the superior and inferior quality reports are merged to generate a comprehensive quality comparison report. The system can not only accurately identify and optimize product quality grades, but also help enterprises to have a deep understanding of product quality problems through comprehensive quality comparison analysis, improve the scientificity and refinement level of product quality control, thereby improving market competitiveness and consumer trust while improving product quality.

[0061] As an example of the present invention, refer to Figure 3 As shown, in this example, step S22 includes:

[0062] Step S221: retrieve the wasabi sauce information archive data for the first-level data to generate the first-level model result of the high-quality wasabi sauce; perform an influencing factor analysis based on the first-level model result of the wasabi sauce to generate the high-quality quality influencing factor, and use the MLP model technology to increase the weight ratio of the high-quality quality influencing factor to generate the second-class model result of the high-quality wasabi sauce;

[0063] In the embodiment of the present invention, by retrieving the wasabi sauce information archive data of the first-level data, the data mining technology is applied to generate the first-level model result of the high-quality wasabi sauce; based on this type of model result, the influencing factor analysis is performed through the statistical analysis method to identify and extract the key factors that have a significant impact on the quality of the high-quality product; the multi-layer perceptron (MLP) model technology is used to optimize and improve the weight ratio of these high-quality product quality influencing factors, and the neural network weights are adjusted through the back propagation algorithm to make the model more sensitive and accurate, and finally generate the second-class model result of the high-quality wasabi sauce.

[0064] Step S222: Compare the data of the first-level model result of the high-quality wasabi sauce and the second-level model result of the high-quality wasabi sauce to generate a high-quality wasabi sauce quality comparison report;

[0065] In the embodiment of the present invention, data comparison and analysis are performed on the first-level model results of premium wasabi sauce and the second-level model results of premium wasabi sauce, and the difference and consistency between the two are identified and quantified by comparative analysis technology; statistical methods are used to compare the various quality influencing factors in the model results, and their performance and contribution in different models are evaluated; and visualization tools are used to generate charts and reports to clearly display the quality evaluation results of high-grade wasabi sauce products under different models, highlighting the changing trend of key quality influencing factors and the effect after weight adjustment;

[0066] Step S223: retrieve the wasabi sauce information archive data for the second-level data to generate the first-level model result of defective wasabi sauce; perform an impact factor analysis based on the first-level model result of defective wasabi sauce to generate defective impact factors, and use the MLP model technology to reduce the weight ratio of the defective quality impact factor to generate the second-class model result of defective wasabi sauce;

[0067] In an embodiment of the present invention, the second-level data is retrieved to extract information archive data related to wasabi sauce, and then data mining technology is applied to these data to generate a first-level model result of defective wasabi sauce; based on this model result, a detailed influencing factor analysis is performed to identify and quantify factors that have a significant impact on product quality, such as the source of raw materials, production process, and quality inspection records; then, the weights of these low-level product quality influencing factors are adjusted using a multi-layer perceptron (MLP) model technology, and the weight ratio is reduced to more accurately reflect the characteristics and problems of low-quality products, thereby generating a second-class model result of defective wasabi sauce.

[0068] Step S224: performing data comparison on the first-level model result of defective wasabi sauce and the second-level model result of defective wasabi sauce, and generating a quality comparison report of defective wasabi sauce;

[0069] In the embodiment of the present invention, a data comparison analysis is performed on the first-level model results of defective wasabi sauce and the second-level model results of defective wasabi sauce, and the difference and consistency between the two are identified and quantified through comparative analysis technology; then, statistical methods are applied to analyze in detail the performance and contribution of each quality influencing factor in different models, and their changing trends and effects after weight adjustment are evaluated; then, visualization tools are used to generate charts and reports to intuitively display the quality evaluation results of low-grade wasabi sauce products under different models, highlighting the changes and impacts of key quality influencing factors; finally, all analysis results are combined to generate a detailed quality comparison report of defective wasabi sauce.

[0070] Step S225 merges the data of the quality comparison report of the superior wasabi sauce and the quality comparison report of the inferior wasabi sauce to generate a quality comparison report of the wasabi sauce.

[0071] In the embodiment of the present invention, by collecting and organizing the quality reports of superior wasabi sauce and inferior wasabi sauce generated from the quality evaluation process of superior and inferior products, and then applying data fusion technology to merge these two types of reports, the indicators and results of different quality levels are compared and integrated through a unified standardized method, and the merged data are comprehensively analyzed using statistical analysis and data mining technology to identify the similarities, differences and trends between the various quality levels, thereby generating a comprehensive wasabi sauce quality comparison report.

[0072] Preferably, step S3 comprises the following steps:

[0073] Step S31: Encrypt the wasabi sauce information file data using the AES encryption algorithm to generate wasabi sauce encrypted data and an AES key;

[0074] Step S32: performing distributed computing and storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file;

[0075] Step S33: uploading the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set;

[0076] Step S34: embedding the wasabi sauce distribution data set into the QR code using RFID tag technology to generate a wasabi sauce traceability QR code;

[0077] Step S35: Receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information file based on the result of the scanning request to generate wasabi sauce address data; send wasabi sauce encrypted data and AES key based on the wasabi sauce address data; decrypt the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

[0078] The invention has the beneficial effect of comprehensively improving the security, traceability and management efficiency of product information. Specifically, the AES encryption algorithm is used to encrypt the wasabi sauce information archive data to ensure the security of the data during transmission and storage, and the generated wasabi sauce encrypted data and AES key provide guarantee for subsequent decryption and data use. The wasabi sauce encrypted data is processed by distributed computing storage to ensure the efficiency and reliability of data storage, and form a complete wasabi sauce product information archive. The product information archive is uploaded to the cloud platform for data distribution processing, and a wasabi sauce distribution data set is generated to achieve unified management and distribution of data. The distribution data set is embedded in the QR code using RFID tag technology to generate a wasabi sauce traceability QR code, so that each product has a unique traceable identification, which is convenient for consumers and enterprises to query and track information. The traceability QR code scanning request is received through the cloud platform, and data parsing processing is performed. The wasabi sauce address data is generated by traversing the address data, and the wasabi sauce encrypted data and AES key are sent based on this, and decryption processing is performed to generate user information archive data, thereby ensuring the timeliness and accuracy of the traceability information. Overall, the system has built a secure, efficient and traceable product information management system through multi-level encryption, storage and distribution technologies, which not only improves the security of product information, but also enhances the company's management capabilities over the entire life cycle of the product and increases consumers' trust in product quality and safety.

[0079] As an example of the present invention, refer to Figure 4 As shown, in this example, step S3 includes:

[0080] Step S31: Encrypt the wasabi sauce information file data using the AES encryption algorithm to generate wasabi sauce encrypted data and an AES key;

[0081] In the embodiment of the present invention, the wasabi sauce information archive data is preprocessed to ensure the integrity and consistency of the data format and content; then, the advanced encryption standard (AES) algorithm is used to perform an encryption operation on the preprocessed wasabi sauce information archive data, which includes selecting a 128-bit key length and generating a random AES key; then, the AES key is used to encrypt the wasabi sauce information archive data block by block through a CBC block encryption mode to ensure the security and confidentiality of the data during transmission and storage; the encrypted wasabi sauce data and the corresponding AES key are respectively saved or transmitted, and security measures are taken to protect the AES key from being leaked, thereby generating secure wasabi sauce encrypted data and AES key.

[0082] Step S32: performing distributed computing and storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file;

[0083] In the embodiment of the present invention, the wasabi sauce encrypted data is divided into multiple data blocks for distributed processing and storage; then, the Hadoop distributed computing framework is used to distribute the data blocks to multiple computing nodes for parallel processing to ensure the efficiency and reliability of data processing; during the processing, each node stores and processes the data blocks it receives, and applies RAID redundant storage technology to improve the fault tolerance and availability of the data; after the processing is completed, each computing node summarizes the processing results and performs consistency verification to ensure data integrity; finally, all the processed data blocks are recombined and stored in a distributed storage system (such as HDFS, Ceph, etc.) to generate a complete wasabi sauce product information archive, and the data storage location and metadata information are recorded at the same time.

[0084] Step S33: uploading the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set;

[0085] In an embodiment of the present invention, the wasabi sauce product information archive in the distributed storage system is uploaded to the cloud platform through the secure HTTPS data transmission protocol; during the uploading process, the GZIP data compression technology is applied to improve the transmission efficiency; after uploading to the cloud platform, the information archive is stored and managed by the distributed database service of the Google Cloud Spanner cloud platform; then, the CDN data distribution mechanism is used to distribute the wasabi sauce product information archive to server nodes in multiple geographical locations to optimize data access speed and reliability; during the data distribution process, the database replication data synchronization technology is used to ensure the consistency and timely update of all node data; finally, the wasabi sauce distribution data set is generated through the API interface of the cloud platform, and provided to relevant parties for data access and query.

[0086] Step S34: uploading the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set;

[0087] In an embodiment of the present invention, relevant information of a wasabi sauce distribution data set is collected and stored by using RFID tag technology, and the information is converted into code to generate a data string; the encoded data string is embedded into a QR code by using a QR Code standard two-dimensional code generation algorithm to generate a two-dimensional code containing the wasabi sauce distribution data set; in this process, a Deflate data compression algorithm is applied to ensure efficient storage of data in the two-dimensional code, and at the same time, error correction coding technology such as Reed-Solomon code is used to enhance the fault tolerance of the two-dimensional code; the generated two-dimensional code can be printed or displayed on the product packaging and scanned by a two-dimensional code scanning device; after scanning the two-dimensional code, the device extracts the embedded data string through a parsing algorithm, and communicates with a cloud platform in real time through an RFID reader to verify and obtain a complete wasabi sauce distribution data set, thereby tracking and tracing product information and ensuring data accuracy and security.

[0088] Step S35: Receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information file based on the result of the scanning request to generate wasabi sauce address data; send wasabi sauce encrypted data and AES key based on the wasabi sauce address data; decrypt the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

[0089] In the embodiment of the present invention, a cloud platform is used to receive a QR code scanning request, and a data tracing technology is used to traverse the address data of the wasabi sauce product information file to generate address data, and the wasabi sauce encrypted data is encrypted using an AES encryption algorithm, and then the encrypted data is decrypted based on the generated address data and the AES key, thereby generating wasabi sauce user information file data. The technical means involve cloud computing platform interface development, data tracing algorithm, AES encryption algorithm, and data decryption processing technology.

[0090] Preferably, step S31 includes the following steps:

[0091] Step S311: using the AES encryption algorithm to encrypt and convert the comprehensive information of the wasabi sauce to generate encrypted data of the wasabi sauce;

[0092] Step S312: Use a key derivation function to generate a key for the wasabi sauce comprehensive information to generate an AES key.

[0093] The present invention uses the AES encryption algorithm to encrypt and convert the comprehensive information of wasabi sauce to generate encrypted data, which can ensure that the data is not obtained or tampered with by unauthorized visitors during transmission and storage, thereby ensuring the confidentiality and integrity of the data. At the same time, by using the key derivation function to process the comprehensive information and generate the AES key, it helps to ensure the security and uniqueness of the key and prevent the key from being leaked or guessed. Such data encryption and key management measures effectively enhance the security protection capability of the comprehensive information of wasabi sauce and improve the credibility and reliability of data management.

[0094] In the embodiment of the present invention, the AES (Advanced Encryption Standard) encryption algorithm is used to encrypt and convert the comprehensive information of the wasabi sauce to generate encrypted data to ensure the confidentiality and security of the data. Secondly, the comprehensive information of the wasabi sauce is processed through a key derivation function to generate an AES key for key management in the encryption and decryption process.

[0095] Preferably, step S34 includes the following steps:

[0096] Step S341: using RFID tag technology to obtain wasabi sauce product identification data;

[0097] Step S342: performing hash processing on the wasabi sauce distribution data set to generate a product quality hash value;

[0098] Step S343: Upload the product quality hash value to the blockchain network for distribution processing to form a hash distribution data set;

[0099] Step S344: merging the wasabi sauce product identification data and the hash distribution data set to obtain wasabi sauce write data;

[0100] Step S345: overwriting the wasabi sauce product identification data on the wasabi sauce written data to generate wasabi sauce traceability information data;

[0101] Step S346: Generate a QR code based on the wasabi sauce traceability information data to obtain a wasabi sauce traceability QR code.

[0102] The present invention obtains product identification data through RFID tag technology, combines it with a hashed distribution data set, and uploads it to a blockchain network to form an unalterable hash distribution data set. The product identification data is merged with the hash distribution data set to generate wasabi sauce write data, which then overwrites the wasabi sauce product identification data to form traceability information data. A wasabi sauce traceability QR code is generated based on these traceability information data. The beneficial effect of the system is to ensure the security, integrity and traceability of product traceability information, improve consumers' trust in product quality and safety, and provide companies with refined product management and traceability capabilities, which helps to enhance product brand value and market competitiveness.

[0103] As an example of the present invention, refer to Figure 5 As shown, in this example, step S34 includes:

[0104] Step S341: using RFID tag technology to obtain wasabi sauce product identification data;

[0105] In the embodiment of the present invention, the identification data of the wasabi sauce product is obtained by using RFID (Radio-Frequency Identification) tag technology. RFID technology uses radio signals to realize the identification and tracking of objects. Through the communication between the RFID tag and the RFID reader, the unique identification information of the wasabi sauce product can be quickly and accurately obtained.

[0106] Step S342: performing hash processing on the wasabi sauce distribution data set to generate a product quality hash value;

[0107] In the embodiment of the present invention, hash processing is the process of converting data using a hash function to map the data into a hash value of fixed length. This technical means can ensure the integrity and uniqueness of the data. Even if the data changes slightly, the hash value will change significantly. By performing hash processing on the wasabi sauce distribution data set, the generated product quality hash value can be used to verify the integrity and authenticity of the data.

[0108] Step S343: Upload the product quality hash value to the blockchain network for distribution processing to form a hash distribution data set;

[0109] In the embodiment of the present invention, the distributed ledger technology of the blockchain is used to ensure the immutability and transparency of the data through a distributed consensus mechanism. The product quality hash value is uploaded to the blockchain network to ensure the security and credibility of the data. At the same time, the decentralized nature of the blockchain also ensures the reliable distribution and sharing of data.

[0110] Step S344: merging the wasabi sauce product identification data and the hash distribution data set to obtain wasabi sauce write data;

[0111] In the embodiment of the present invention, data merging refers to the process of integrating data from different sources or formats into one to meet specific needs or provide comprehensive information. In this process, the wasabi sauce product identification data is used to identify and trace the unique identification of the product, while the hash distribution data set provides product quality verification and security assurance. By merging these two parts of data, the wasabi sauce write data obtained contains the unique identification information of the product.

[0112] Step S345: overwriting the wasabi sauce product identification data on the wasabi sauce written data to generate wasabi sauce traceability information data;

[0113] In the embodiment of the present invention, the written data that has integrated the product identification and quality verification data is rewritten and updated according to specific requirements or standards. This involves adjusting the data structure, updating the identification information, and encryption measures. Through this step, the generated wasabi sauce traceability information data will contain the latest product identification information and verified product quality data, thereby providing a more complete and reliable data basis for product traceability.

[0114] Step S346: Generate a QR code based on the wasabi sauce traceability information data to obtain a wasabi sauce traceability QR code.

[0115] In the embodiment of the present invention, a specific encoding algorithm and image processing technology are used to convert the traceability information data of wasabi sauce into a QR code image, including using a QR code generation algorithm to encode the traceability information data into a QR code image in a certain format, and to beautify, customize or add additional information to the QR code image according to requirements.

[0116] Preferably, step S35 includes the following steps:

[0117] Step S351: receiving a scanning request for the wasabi sauce traceability QR code through the cloud platform and performing data analysis on the wasabi sauce traceability QR code to obtain wasabi sauce product information call data;

[0118] Step S352: performing product address analysis on the wasabi sauce product information call data to generate wasabi sauce address data;

[0119] Step S353: Send the wasabi sauce encrypted data and AES key based on the wasabi sauce address data; decrypt the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

[0120] The present invention can obtain detailed traceability information of wasabi sauce by parsing the QR code and analyzing the information therein, thereby providing accurate traceability and management support for the product. At the same time, the call and address analysis of product information help to better understand the production and circulation of the product. During the data transmission process, the use of the AES encryption algorithm ensures the confidentiality and security of the data and protects the security of the user's privacy information. Finally, the generated user information archive data provides users with a reliable product use and consumption reference. This series of steps effectively improves the efficiency and credibility of wasabi sauce product management, while enhancing users' trust and satisfaction with the product.

[0121] In an embodiment of the present invention, a cloud platform is used to receive a scan request for a wasabi sauce traceability QR code, and then the QR code is subjected to data parsing. Image processing technology and a QR code decoding algorithm are involved to extract relevant information about the wasabi sauce product from the scanned QR code. The product information is called and the product address is analyzed, using data mining and geographic information system technology to obtain and generate the address data of the wasabi sauce. Finally, based on the obtained wasabi sauce address data, the AES encryption algorithm is used to encrypt the data, and the encrypted data and the generated AES key are sent at the same time. The encrypted data is decrypted using the key and address data, using symmetric key encryption and decryption technology.

[0122] In the present specification, a product quality safety traceability system based on wasabi sauce is provided, which is used to execute the product quality safety traceability method based on wasabi sauce. The product quality safety traceability system based on wasabi sauce includes:

[0123] The data collection and preprocessing module is used to obtain data related to wasabi sauce products; clean the data related to wasabi sauce products to generate wasabi sauce product cleaned data; encapsulate the wasabi sauce product cleaned data to generate wasabi sauce product encapsulated data; identify the wasabi sauce product encapsulated data to obtain wasabi sauce product identification data; upload the wasabi sauce product identification data to the blockchain distributed ledger for recording, forming wasabi sauce information archive data;

[0124] The data mining and analysis module is used to perform data mining processing on the wasabi sauce information archive data using the association rule mining technology to generate the wasabi sauce association rule mining data; perform association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; input the wasabi sauce product quality influencing factors into the preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into high-grade quality data and low-grade quality data; perform hierarchical model regression statistical analysis on the high-grade quality data and the low-grade quality data to generate a wasabi sauce high-grade quality report and a wasabi sauce low-grade quality report; perform data merging processing on the wasabi sauce high-grade quality report and the wasabi sauce low-grade quality report to generate a wasabi sauce quality comparison report; perform archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data;

[0125] The data encryption and storage module is used to encrypt the wasabi sauce information archive data using an encryption algorithm to generate wasabi sauce encrypted data and AES keys; perform distributed computing and storage processing on the wasabi sauce encrypted data to obtain the wasabi sauce product information archive; upload the wasabi sauce product information archive to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information archive according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information archive data.

[0126] The beneficial effect of the present invention is that it provides a comprehensive data management and protection mechanism for wasabi sauce products. First, through the data acquisition and preprocessing module, the accuracy and completeness of the data related to the wasabi sauce product are ensured, providing a reliable basis for subsequent data processing. The data mining and analysis module uses association rule mining technology to deeply analyze the wasabi sauce information archive data, extract product quality influencing factors, and classify and rate the products through machine learning models, thereby helping companies understand product quality status and improvement directions. The data encryption and storage module uses encryption algorithms to protect the security of data, and distributed computing storage and cloud platform distribution processing ensure the reliability and accessibility of data. Finally, by embedding RFID tag technology in the QR code, the traceability management of the product is realized, further improving the transparency and trust of the product. This series of data management measures not only helps to improve the quality and safety of wasabi sauce products, but also provides important data support for corporate decision-making and regulatory departments, which is beneficial to the sustainable development and improvement of the entire industrial chain.

[0127] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0128] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. 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 invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A product quality safety traceability method based on wasabi sauce, characterized in that: The following steps are involved: Step S1: obtaining data related to wasabi sauce products; performing data cleaning on the wasabi sauce product-related data to generate wasabi sauce product cleaning data; performing data packaging on the wasabi sauce product cleaning data to generate wasabi sauce product packaging data; performing data identification on the wasabi sauce product packaging data to obtain wasabi sauce product identification data; uploading the wasabi sauce product identification data to the blockchain distributed ledger for recording to form wasabi sauce information archive data; Step S2: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data; performing hierarchical model regression statistical analysis on the first-level data and the second-level data to generate a wasabi sauce first-level quality report and a wasabi sauce second-level quality report; performing data merging processing on the wasabi sauce first-level quality report and the wasabi sauce second-level quality report to generate a wasabi sauce quality comparison report; performing archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data; wherein step S2 includes: Step S21: using association rule mining technology to perform data mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing influencing factor association analysis on the wasabi sauce association rule mining data to obtain wasabi sauce product quality influencing factors; inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data; wherein step S21 includes: Step S211: using association rule mining technology to perform data association rule mining on the wasabi sauce information archive data to generate wasabi sauce association rule mining data; performing association influencing factor analysis on the wasabi sauce association rule mining data to obtain wasabi sauce product quality influencing factors, wherein the association influencing factor analysis is divided into production link analysis, raw material source analysis, processing technology analysis and quality inspection record analysis; Step S212: inputting the wasabi sauce product quality influencing factors into a preset MLP model to perform wasabi sauce feature classification, and generating wasabi sauce classification data, wherein the wasabi sauce classification data is divided into first-level data and second-level data, and the first-level data is better than the second-level data; Step S22: performing a hierarchical model regression analysis on the first-level data and the second-level data to generate a first-level quality report of wasabi sauce and a second-level quality report of wasabi sauce; performing data merging processing on the first-level quality report of wasabi sauce and the second-level quality report of wasabi sauce to generate a wasabi sauce quality comparison report; wherein step S22 includes: Step S221: retrieve the wasabi sauce information archive data for the first-level data to generate the first-level model result of the high-quality wasabi sauce; perform an influencing factor analysis based on the first-level model result of the wasabi sauce to generate the high-quality quality influencing factor, and use the MLP model technology to increase the weight ratio of the high-quality quality influencing factor to generate the second-class model result of the high-quality wasabi sauce; Step S222: Compare the data of the first-level model result of the high-quality wasabi sauce and the second-level model result of the high-quality wasabi sauce to generate a high-quality wasabi sauce quality comparison report; Step S223: retrieve the wasabi sauce information archive data for the second-level data to generate the first-level model result of defective wasabi sauce; perform an impact factor analysis based on the first-level model result of defective wasabi sauce to generate defective impact factors, and use the MLP model technology to reduce the weight ratio of the defective quality impact factor to generate the second-class model result of defective wasabi sauce; Step S224: performing data comparison on the first-level model result of defective wasabi sauce and the second-level model result of defective wasabi sauce, and generating a quality comparison report of defective wasabi sauce; Step S225: merging the data of the quality comparison report of the superior wasabi sauce and the quality comparison report of the inferior wasabi sauce to generate a quality comparison report of the wasabi sauce; Step S23: performing archival data analysis and processing on the wasabi sauce quality comparison report to obtain wasabi sauce information archival data; Step S3: encrypt the wasabi sauce information file data using an encryption algorithm to generate wasabi sauce encrypted data and an AES key; perform distributed computing storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file; upload the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and perform address data traversal on the wasabi sauce product information file according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data; wherein step S3 includes: Step S31: Encrypt the wasabi sauce information file data using the AES encryption algorithm to generate wasabi sauce encrypted data and an AES key; wherein step S31 includes: Step S311: using the AES encryption algorithm to encrypt and convert the comprehensive information of the wasabi sauce to generate the wasabi sauce encrypted data; Step S312: using a key derivation function to generate a key for the wasabi sauce comprehensive information to generate an AES key; Step S32: performing distributed computing and storage processing on the wasabi sauce encrypted data to obtain a wasabi sauce product information file; Step S33: uploading the wasabi sauce product information file to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; Step S34: embedding the wasabi sauce distribution data set into the QR code using RFID tag technology to generate a wasabi sauce traceability QR code; wherein step S34 includes: Step S341: using RFID tag technology to obtain wasabi sauce product identification data; Step S342: performing hash processing on the wasabi sauce distribution data set to generate a product quality hash value; Step S343: Upload the product quality hash value to the blockchain network for distribution processing to form a hash distribution data set; Step S344: merging the wasabi sauce product identification data and the hash distribution data set to obtain wasabi sauce write data; Step S345: overwriting the wasabi sauce product identification data on the wasabi sauce written data to generate wasabi sauce traceability information data; Step S346: Generate a QR code according to the wasabi sauce traceability information data to obtain a wasabi sauce traceability QR code; Step S35: receiving a scanning request for the wasabi sauce traceability QR code through the cloud platform, and traversing the address data of the wasabi sauce product information file according to the result of the scanning request to generate the wasabi sauce address data; sending the wasabi sauce encrypted data and the AES key based on the wasabi sauce address data; decrypting the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate the wasabi sauce user information file data; wherein step S35 includes: Step S351: receiving a scanning request for the wasabi sauce traceability QR code through the cloud platform and performing data analysis on the wasabi sauce traceability QR code to obtain wasabi sauce product information call data; Step S352: performing product address analysis on the wasabi sauce product information call data to generate wasabi sauce address data; Step S353: Send the wasabi sauce encrypted data and AES key based on the wasabi sauce address data; decrypt the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information file data.

2. The product quality safety traceability method based on wasabi sauce according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: obtaining wasabi sauce product-related data, wherein the wasabi sauce product-related data includes production link data, raw material source data, processing technology data and quality inspection record data; performing data cleaning on the wasabi sauce product-related data to generate wasabi sauce product cleaning data; Step S12: encapsulating the wasabi sauce product cleaning data to generate wasabi sauce product encapsulation data; Step S13: marking the wasabi sauce product packaging data to obtain wasabi sauce product identification data; Step S14: Upload the wasabi sauce product identification data to the blockchain distributed ledger for recording to form wasabi sauce information archive data.

3. A product quality safety traceability system based on wasabi sauce, characterized in that: Used to execute the product quality safety traceability method based on wasabi sauce as claimed in claim 1, the product quality safety traceability system based on wasabi sauce comprises: The data collection and preprocessing module is used to obtain data related to wasabi sauce products; clean the data related to wasabi sauce products to generate wasabi sauce product cleaned data; encapsulate the wasabi sauce product cleaned data to generate wasabi sauce product encapsulated data; identify the wasabi sauce product encapsulated data to obtain wasabi sauce product identification data; upload the wasabi sauce product identification data to the blockchain distributed ledger for recording, forming wasabi sauce information archive data; The data mining and analysis module is used to perform data mining processing on the wasabi sauce information archive data using the association rule mining technology to generate the wasabi sauce association rule mining data; perform association analysis on the wasabi sauce association rule mining data to obtain the wasabi sauce product quality influencing factors; input the wasabi sauce product quality influencing factors into the preset MLP model to perform wasabi sauce feature classification to generate wasabi sauce classification data, wherein the wasabi sauce classification data is divided into high-grade quality data and low-grade quality data; perform hierarchical model regression statistical analysis on the high-grade quality data and the low-grade quality data to generate a wasabi sauce high-grade quality report and a wasabi sauce low-grade quality report; perform data merging processing on the wasabi sauce high-grade quality report and the wasabi sauce low-grade quality report to generate a wasabi sauce quality comparison report; perform archive data analysis processing on the wasabi sauce quality comparison report to obtain wasabi sauce enterprise information archive data; The data encryption and storage module is used to encrypt the wasabi sauce information archive data using an encryption algorithm to generate wasabi sauce encrypted data and AES keys; perform distributed computing and storage processing on the wasabi sauce encrypted data to obtain the wasabi sauce product information archive; upload the wasabi sauce product information archive to the cloud platform for data distribution processing to generate a wasabi sauce distribution data set; use RFID tag technology to embed the wasabi sauce distribution data set into a QR code to generate a wasabi sauce traceability QR code; receive a wasabi sauce traceability QR code scanning request through the cloud platform, and traverse the address data of the wasabi sauce product information archive according to the result of the scanning request to generate wasabi sauce address data; perform data decryption processing on the wasabi sauce encrypted data based on the wasabi sauce address data and the AES key to generate wasabi sauce user information archive data.

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