Food origin traceability system

Abstract

The invention relates to the field related to food safety, in particular to a food origin traceability system which comprises an information inquiry module and a user feedback module. The information inquiry module provides detailed information of food production places, production, processing, transportation and the like, and helps consumers and supervision departments to know food sources and safety. The user feedback module allows consumers to evaluate food quality and safety, and feedback information is stored and can be inquired by other consumers. Meanwhile, the food safety is improved, and it is ensured that problem food can be handled in time through transparent information and the rapid tracing ability; the consumer trust is enhanced, and the public traceability information and feedback evaluation improve the confidence of the consumer on the brand; the enterprise competitiveness is improved, and the enterprise can improve the product quality through feedback; market supervision is promoted, and real-time monitoring and food fraud prevention of supervision departments are facilitated; technical innovation and industrial upgrading are promoted, and standardization and informatization development of the food industry is promoted.

Description

Technical Field

[0001] The present invention relates to food safety related fields, and in particular to a food origin tracing system. Background Art

[0002] As food safety issues become increasingly prominent, consumers are paying more and more attention to the origin, processing and circulation information of food. Traditional food safety management methods have problems such as information asymmetry and difficulty in traceability, which cannot meet consumers' demand for food safety. Therefore, there is an urgent need for a system that can trace food throughout the entire process to ensure food safety. Summary of the invention

[0003] The purpose of the present invention is to provide a food origin tracing system to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a food origin traceability system, comprising an information collection module, a data storage module, an information processing module, an information query module and a user feedback module, wherein the information collection module is used to collect relevant information during food production, processing, transportation and sales, including but not limited to production location, production time, processing technology, transportation route, and sales location;

[0005] The data storage module is used to store the collected information and use blockchain technology to ensure the data is tamper-proof and traceable;

[0006] The information processing module analyzes and processes the collected data to generate food traceability information;

[0007] The information query module: allows consumers or relevant departments to query food traceability information, and supports multiple query methods, including QR code scanning, batch number query, production date query or other query methods;

[0008] The user feedback module is used for consumers to provide feedback on the quality and safety of food. The feedback information will be stored in the data storage module and can be queried by other consumers.

[0009] Preferably, the information collection module specifically includes the following contents:

[0010] Production information collection: Production location: Use GPS positioning technology to record the production location of food to ensure the accuracy of the production location; Production time: Record the production date and time of each batch of food through a timestamp to ensure the accuracy of the production time; Production environment parameters: Use sensors to collect temperature and humidity data in the production environment to ensure that the environmental conditions in the food production process meet the standards;

[0011] Processing information collection: Processing technology: record the food processing process, including specific processing steps, equipment used and process parameters; Processing time: record the time of each processing step to ensure that the time node of each link is clear and traceable; Processing location: record the processing location through positioning technology to ensure the geographical information of the processing link;

[0012] Transportation information collection: Transportation route: Use GPS tracking technology to record the route of the transportation vehicle to ensure the transparency of the transportation route; Transportation time: Record the specific time from the departure to the arrival of the food to ensure that the time nodes of the transportation link are clear; Transportation environment parameters: Through the sensors installed on the transportation tools, the temperature and humidity environment parameters are monitored in real time during the transportation process to ensure that the food maintains suitable environmental conditions during transportation;

[0013] Sales information collection: Sales location: record the final sales location of the food to ensure the transparency of geographical information in the sales process; Sales time: record the specific time when the food is put on the shelf and sold to ensure the accuracy of the sales time; Inventory information: record inventory changes and update the sales status of the food in real time;

[0014] Other auxiliary information collection: Producer and processor information: Collect the identity information of food producers and processors to ensure that responsibilities are assigned to individuals; Product batch information: Generate a unique batch number for each batch of food to facilitate subsequent traceability and inquiry; Quality inspection information: Record the quality inspection results of each link, including quality inspection reports and test data for production, processing, transportation and sales.

[0015] Preferably, the data storage module uses blockchain technology to ensure the immutability and traceability of data. The specific contents are as follows:

[0016] Data encryption: During the data storage process, all information collected by the information collection module is encrypted to ensure the security of the data during transmission and storage;

[0017] Data block division: Each piece of data collected by the information collection module is divided into several small blocks, each data block contains the hash value of the previous data block, forming a chain structure;

[0018] Consensus mechanism: The consensus mechanism is adopted to enable the storage nodes in the data storage module to verify the consistency of the data in the information collection module to prevent data tampering;

[0019] Immutability: Each data block contains the hash value of the previous data block. Once a data block is tampered with, the hash values ​​of all subsequent data blocks will change, making it easier to detect and prevent tampering.

[0020] Distributed storage: The data of the information collection module is stored in multiple nodes to avoid single point failure and improve the reliability and availability of data storage.

[0021] Preferably, the data storage process and data query access process of the data storage module are as follows, wherein the data storage process is:

[0022] Step 11, data collection: the data collected by the information collection module is transmitted to the data storage module through encryption;

[0023] Step 12: Data encryption: Encrypt the collected data and generate a corresponding hash value;

[0024] Step 13, data block: divide the data into blocks according to time sequence or logical relationship, and record the hash value of each data block and the hash value of the previous data block;

[0025] Step 14: Consensus verification: Verify each data block through the consensus mechanism in the blockchain network to ensure the authenticity and consistency of the data;

[0026] Step 15: Data storage: Store the verified data blocks in multiple blockchain nodes to ensure data security and reliability.

[0027] The data query access process is:

[0028] Step 21. Data access permissions: Set different levels of access permissions to ensure that only authorized users can access relevant data and protect data privacy;

[0029] Step 22: Data query interface: Provide an API interface for other modules or systems to query and access data;

[0030] Step 23, data backtracking: By using the chain structure of the blockchain, by querying the hash value of any data block, you can trace back to the previous data block until the initial data block, thus achieving full traceability;

[0031] Step 24, data recovery: Since data is stored in multiple nodes, even if some nodes fail, data can be recovered through data from other nodes to ensure data integrity and reliability.

[0032] Preferably, the specific working steps of the information processing module are as follows:

[0033] Step S1, data preprocessing: removing noise and error information from the data read from the data storage module to ensure the accuracy of the data, specifically including deleting duplicate data and correcting abnormal data; converting data from different sources in the data storage module into a unified format; verifying the data collected from the data storage module to ensure the integrity and consistency of the data;

[0034] Step S2, analyzing the data pre-processed by the data storage module, specifically: time series analysis: analyzing the time nodes of food production, processing, transportation and sales to ensure that the time sequence and duration of each link are reasonable; geographic information analysis: using the geographic information system to perform spatial analysis on the production, processing, transportation and sales locations of food to ensure the accuracy and rationality of geographic information; environmental parameter analysis: analyzing the environmental parameters collected during production and transportation to ensure that the environmental parameters meet food safety standards; quality inspection data analysis: analyzing the quality inspection data of each link to ensure that the food meets the quality and safety standards at each link;

[0035] Step S3, generating traceability information: based on the data analysis results in step S2, generating a complete traceability chain of food from production to sales, including detailed information and time nodes of each link, and associating the information of each link; visually displaying the traceability information in the form of charts, maps, timelines, etc.;

[0036] Step S4, anomaly detection and warning: using machine learning and data mining technology to detect anomalies in the data in the traceability information, issue an early warning for the detected anomalies, and promptly notify relevant personnel to handle them;

[0037] Step S5, report generation: Generate a detailed food traceability report, including information on the entire process of production, processing, transportation and sales, for consumers and regulatory authorities to query; generate a food quality report based on quality inspection data and environmental parameters, detailing the quality and safety of each link; abnormality report: generate an abnormality detection report, detailing the detected abnormalities and handling suggestions.

[0038] Preferably, the information query module specifically includes the following contents:

[0039] Query method: QR code scanning: consumers or relevant personnel can directly obtain detailed traceability information of food by scanning the QR code on the food packaging; batch number query: enter the batch number of the food to query the production, processing, transportation and sales details of the batch of food; production date query: enter the production date of the food to query the traceability information of all foods produced on that date; other query methods: support query by product barcode, manufacturer name and other methods;

[0040] Query content: Production information: including food production location, production time, producer information; Processing information: including processing location, processing time, processing technology; Transportation information: including food transportation route, transportation time, transportation environment parameters; Sales information: including food sales location, sales time, inventory information; Quality inspection information: including quality inspection results of each link of food, inspection time, and inspection agency;

[0041] Query data security and privacy protection: Permission control: Set different levels of access rights so that only authorized users can access specific data and protect data privacy; Data encryption: Encrypt data during the query process to ensure the security of data transmission; Log recording: Record detailed information for each query, including query time, query method, and query content, to facilitate subsequent auditing and analysis.

[0042] Preferably, the user feedback module specifically includes the following contents:

[0043] Feedback methods: Online evaluation: Users evaluate the quality and safety of food online through websites or mobile applications, leaving text comments and ratings; QR code feedback: By scanning the QR code on the food packaging, users can directly enter the feedback page and submit feedback information;

[0044] Feedback content: Quality evaluation: users evaluate the appearance, taste and packaging of food; Safety feedback: users report food safety issues; Problem report: users report any problems they find;

[0045] Feedback collection and processing: Data collection: The system stores the collected user feedback data in the data storage module; Automatic classification: The system automatically classifies the feedback information, including quality issues, safety issues, and service issues;

[0046] Use of feedback data: Internal improvement: Producers and managers improve product quality and services based on feedback information; Public display: Feedback information is publicly displayed after review for reference by other consumers; Report generation: The user feedback module regularly generates user feedback reports to provide producers with trend analysis and improvement suggestions.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] Improve food safety: Transparent traceability information: Consumers and relevant departments can use the query module to learn about the origin, production process and transportation information of food in detail to ensure food safety. Quickly trace the source of the problem: When food safety problems occur, the traceability system can quickly locate the source of the problem, making it easier to take timely measures to prevent the problem from expanding.

[0049] Enhance consumer trust: Information transparency: Provide detailed traceability information and consumer feedback to give consumers a clear understanding of the source and quality of food, and enhance trust in brands and products. Public user feedback: Publicly displayed user reviews and ratings provide a strong reference for consumer purchase decisions and improve consumer satisfaction.

[0050] Improve enterprise competitiveness: Improve product quality: By collecting and analyzing consumer feedback, enterprises can continuously improve product quality and enhance market competitiveness. Brand credibility: Transparent traceability information and positive user feedback can enhance the brand credibility of enterprises and attract more consumers.

[0051] Promote market supervision: Facilitate monitoring by regulatory authorities: Relevant departments can monitor the production and circulation process of food in real time through the query module to ensure the standardization and safety of the food industry. Prevent food fraud: Through detailed traceability information, prevent fraud in food production and sales, such as impersonating the origin and falsifying the production date.

[0052] Improve supply chain efficiency: Data sharing: Through the traceability system, each link in the supply chain can share information, improve coordination and communication efficiency, and reduce delays in the middle. Inventory management optimization: Real-time sales information and feedback data help companies optimize inventory management, reduce inventory costs, and improve supply chain efficiency.

[0053] Through the food origin traceability system, consumers can obtain safer and more transparent food, companies can improve product quality and market competitiveness, and regulatory authorities can monitor food safety more effectively. The entire food industry will develop in a more efficient, transparent and sustainable direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1 ,The present invention provides a technical solution: a food origin traceability system, including an information collection module, a data storage module, an information processing module, an information query module and a user feedback module, the information collection module: used to collect relevant information in the process of food production, processing, transportation and sales, including but not limited to production location, production time, processing technology, transportation route, sales location;

[0057] Data storage module: used to store the above collected information, using blockchain technology to ensure the data is tamper-proof and traceable;

[0058] Information processing module: analyzes and processes the collected data to generate food traceability information;

[0059] Information query module: for consumers or relevant departments to query food traceability information, supporting multiple query methods, including QR code scanning, batch number query, production date query or other query methods;

[0060] User feedback module: for consumers to provide feedback on food quality and safety. The feedback information will be stored in the data storage module and can be queried by other consumers.

[0061] Furthermore, the information collection module specifically includes the following contents:

[0062] Production information collection: Production location: Use GPS positioning technology to record the production location of food to ensure the accuracy of the production location; Production time: Record the production date and time of each batch of food through a timestamp to ensure the accuracy of the production time; Production environment parameters: Use sensors to collect temperature and humidity data in the production environment to ensure that the environmental conditions in the food production process meet the standards;

[0063] Processing information collection: Processing technology: record the food processing process, including specific processing steps, equipment used and process parameters; Processing time: record the time of each processing step to ensure that the time node of each link is clear and traceable; Processing location: record the processing location through positioning technology to ensure the geographical information of the processing link;

[0064] Transportation information collection: Transportation route: Use GPS tracking technology to record the route of the transportation vehicle to ensure the transparency of the transportation route; Transportation time: Record the specific time from the departure to the arrival of the food to ensure that the time nodes of the transportation link are clear; Transportation environment parameters: Through the sensors installed on the transportation tools, the temperature and humidity environment parameters are monitored in real time during the transportation process to ensure that the food maintains suitable environmental conditions during transportation;

[0065] Sales information collection: Sales location: record the final sales location of the food to ensure the transparency of geographical information in the sales process; Sales time: record the specific time when the food is put on the shelf and sold to ensure the accuracy of the sales time; Inventory information: record inventory changes and update the sales status of the food in real time;

[0066] Other auxiliary information collection: Producer and processor information: Collect the identity information of food producers and processors to ensure that responsibilities are assigned to individuals; Product batch information: Generate a unique batch number for each batch of food to facilitate subsequent traceability and inquiry; Quality inspection information: Record the quality inspection results of each link, including quality inspection reports and test data for production, processing, transportation and sales.

[0067] Furthermore, the data storage module uses blockchain technology to ensure the immutability and traceability of data. The specific contents are as follows:

[0068] Data encryption: During the data storage process, all information collected by the information collection module is encrypted to ensure the security of the data during transmission and storage;

[0069] Data block division: Each piece of data collected by the information collection module is divided into several small blocks, each data block contains the hash value of the previous data block, forming a chain structure;

[0070] Consensus mechanism: The consensus mechanism is adopted to enable the storage nodes in the data storage module to verify the consistency of the data in the information collection module to prevent data tampering;

[0071] Immutability: Each data block contains the hash value of the previous data block. Once a data block is tampered with, the hash values ​​of all subsequent data blocks will change, making it easier to detect and prevent tampering.

[0072] Distributed storage: The data of the information collection module is stored in multiple nodes to avoid single point failure and improve the reliability and availability of data storage.

[0073] Furthermore, the data storage process and data query access process of the data storage module are as follows, wherein the data storage process is:

[0074] Step 11, data collection: the data collected by the information collection module is transmitted to the data storage module through encryption;

[0075] Step 12: Data encryption: Encrypt the collected data and generate a corresponding hash value;

[0076] Step 13, data block: divide the data into blocks according to time sequence or logical relationship, and record the hash value of each data block and the hash value of the previous data block;

[0077] Step 14: Consensus verification: Verify each data block through the consensus mechanism in the blockchain network to ensure the authenticity and consistency of the data;

[0078] Step 15: Data storage: Store the verified data blocks in multiple blockchain nodes to ensure data security and reliability.

[0079] The data query access process is:

[0080] Step 21. Data access permissions: Set different levels of access permissions to ensure that only authorized users can access relevant data and protect data privacy;

[0081] Step 22: Data query interface: Provide an API interface for other modules or systems to query and access data;

[0082] Step 23, data backtracking: By using the chain structure of the blockchain, by querying the hash value of any data block, you can trace back to the previous data block until the initial data block, thus achieving full traceability;

[0083] Step 24, data recovery: Since data is stored in multiple nodes, even if some nodes fail, data can be recovered through data from other nodes to ensure data integrity and reliability.

[0084] Furthermore, the specific working steps of the information processing module are as follows:

[0085] Step S1, data preprocessing: removing noise and error information from the data read from the data storage module to ensure the accuracy of the data, specifically including deleting duplicate data and correcting abnormal data; converting data from different sources in the data storage module into a unified format; verifying the data collected from the data storage module to ensure the integrity and consistency of the data;

[0086] Step S2, analyzing the data pre-processed by the data storage module, specifically: time series analysis: analyzing the time nodes of food production, processing, transportation and sales to ensure that the time sequence and duration of each link are reasonable; geographic information analysis: using the geographic information system to perform spatial analysis on the production, processing, transportation and sales locations of food to ensure the accuracy and rationality of geographic information; environmental parameter analysis: analyzing the environmental parameters collected during production and transportation to ensure that the environmental parameters meet food safety standards; quality inspection data analysis: analyzing the quality inspection data of each link to ensure that the food meets the quality and safety standards at each link;

[0087] Step S3, generating traceability information: based on the data analysis results in step S2, generating a complete traceability chain of food from production to sales, including detailed information and time nodes of each link, and associating the information of each link; visually displaying the traceability information in the form of charts, maps, timelines, etc.;

[0088] Step S4, anomaly detection and warning: using machine learning and data mining technology to detect anomalies in the data in the traceability information, issue an early warning for the detected anomalies, and promptly notify relevant personnel to handle them;

[0089] Step S5, report generation: Generate a detailed food traceability report, including information on the entire process of production, processing, transportation and sales, for consumers and regulatory authorities to query; generate a food quality report based on quality inspection data and environmental parameters, detailing the quality and safety of each link; abnormality report: generate an abnormality detection report, detailing the detected abnormalities and handling suggestions.

[0090] Furthermore, the information query module specifically includes the following contents:

[0091] Query method: QR code scanning: consumers or relevant personnel can directly obtain detailed traceability information of food by scanning the QR code on the food packaging; batch number query: enter the batch number of the food to query the production, processing, transportation and sales details of the batch of food; production date query: enter the production date of the food to query the traceability information of all foods produced on that date; other query methods: support query by product barcode, manufacturer name and other methods;

[0092] Query content: Production information: including food production location, production time, producer information; Processing information: including processing location, processing time, processing technology; Transportation information: including food transportation route, transportation time, transportation environment parameters; Sales information: including food sales location, sales time, inventory information; Quality inspection information: including quality inspection results of each link of food, inspection time, and inspection agency;

[0093] Query data security and privacy protection: Permission control: Set different levels of access rights so that only authorized users can access specific data and protect data privacy; Data encryption: Encrypt data during the query process to ensure the security of data transmission; Log recording: Record detailed information for each query, including query time, query method, and query content, to facilitate subsequent auditing and analysis.

[0094] The information query module can provide consumers and relevant departments with food traceability information query services efficiently and conveniently, enhance food safety transparency and improve consumer trust.

[0095] Furthermore, the user feedback module specifically includes the following contents:

[0096] Feedback methods: Online evaluation: Users evaluate the quality and safety of food online through websites or mobile applications, leaving text comments and ratings; QR code feedback: By scanning the QR code on the food packaging, users can directly enter the feedback page and submit feedback information;

[0097] Feedback content: Quality evaluation: users evaluate the appearance, taste and packaging of food; Safety feedback: users report food safety issues; Problem report: users report any problems they find;

[0098] Feedback collection and processing: Data collection: The system stores the collected user feedback data in the data storage module; Automatic classification: The system automatically classifies the feedback information, including quality issues, safety issues, and service issues;

[0099] Use of feedback data: Internal improvement: Producers and managers improve product quality and services based on feedback information; Public display: Feedback information is publicly displayed after review for reference by other consumers; Report generation: The user feedback module regularly generates user feedback reports to provide producers with trend analysis and improvement suggestions.

[0100] Through the user feedback module, the food origin traceability system can not only collect and display consumers' opinions and comments, but also use these data to improve product quality and services, and enhance consumers' overall satisfaction and trust.

[0101] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A food origin tracing system, comprising an information collection module, a data storage module, an information processing module, an information query module and a user feedback module, characterized in that: The information collection module is used to collect relevant information during the production, processing, transportation and sales of food, including but not limited to the production location, production time, processing technology, transportation route, and sales location; The data storage module is used to store the collected information and use blockchain technology to ensure the data is tamper-proof and traceable; The information processing module analyzes and processes the collected data to generate food traceability information; The information query module: allows consumers or relevant departments to query food traceability information, and supports multiple query methods, including QR code scanning, batch number query, production date query or other query methods; The user feedback module is used for consumers to provide feedback on the quality and safety of food. The feedback information will be stored in the data storage module and can be queried by other consumers.

2. A food origin tracing system according to claim 1, characterized in that: The information collection module specifically includes the following contents: Production information collection: Production location: Use GPS positioning technology to record the production location of food to ensure the accuracy of the production location; Production time: Record the production date and time of each batch of food through a timestamp to ensure the accuracy of the production time; Production environment parameters: Use sensors to collect temperature and humidity data in the production environment to ensure that the environmental conditions in the food production process meet the standards; Processing information collection: Processing technology: record the food processing process, including specific processing steps, equipment used and process parameters; Processing time: record the time of each processing step to ensure that the time node of each link is clear and traceable; Processing location: record the processing location through positioning technology to ensure the geographical information of the processing link; Transportation information collection: Transportation route: Use GPS tracking technology to record the route of the transportation vehicle to ensure the transparency of the transportation route; Transportation time: Record the specific time from the departure to the arrival of the food to ensure that the time nodes of the transportation link are clear; Transportation environment parameters: Through the sensors installed on the transportation tools, the temperature and humidity environment parameters are monitored in real time during the transportation process to ensure that the food maintains suitable environmental conditions during transportation; Sales information collection: Sales location: record the final sales location of the food to ensure the transparency of geographical information in the sales process; Sales time: record the specific time when the food is put on the shelf and sold to ensure the accuracy of the sales time; Inventory information: record inventory changes and update the sales status of the food in real time; Other auxiliary information collection: Producer and processor information: Collect the identity information of food producers and processors to ensure that responsibilities are assigned to individuals; Product batch information: Generate a unique batch number for each batch of food to facilitate subsequent traceability and inquiry; Quality inspection information: Record the quality inspection results of each link, including quality inspection reports and test data for production, processing, transportation and sales.

3. A food origin tracing system according to claim 1, characterized in that: The data storage module uses blockchain technology to ensure the immutability and traceability of data. The specific contents are as follows: Data encryption: During the data storage process, all information collected by the information collection module is encrypted to ensure the security of the data during transmission and storage; Data block division: Each piece of data collected by the information collection module is divided into several small blocks, each data block contains the hash value of the previous data block, forming a chain structure; Consensus mechanism: The consensus mechanism is adopted to enable the storage nodes in the data storage module to verify the consistency of the data in the information collection module to prevent data tampering; Immutability: Each data block contains the hash value of the previous data block. Once a data block is tampered with, the hash values ​​of all subsequent data blocks will change, making it easier to detect and prevent tampering. Distributed storage: The data of the information collection module is stored in multiple nodes to avoid single point failure and improve the reliability and availability of data storage.

4. A food origin tracing system according to claim 1, characterized in that: The data storage process and data query access process of the data storage module are as follows, wherein the data storage process is: Step 11, data collection: the data collected by the information collection module is transmitted to the data storage module through encryption; Step 12: Data encryption: Encrypt the collected data and generate a corresponding hash value; Step 13, data block: divide the data into blocks according to time sequence or logical relationship, and record the hash value of each data block and the hash value of the previous data block; Step 14: Consensus verification: Verify each data block through the consensus mechanism in the blockchain network to ensure the authenticity and consistency of the data; Step 15: Data storage: Store the verified data blocks in multiple blockchain nodes to ensure data security and reliability. The data query access process is: Step 21. Data access permissions: Set different levels of access permissions to ensure that only authorized users can access relevant data and protect data privacy; Step 22: Data query interface: Provide an API interface for other modules or systems to query and access data; Step 23, data backtracking: By using the chain structure of the blockchain, by querying the hash value of any data block, you can trace back to the previous data block until the initial data block, thus achieving full traceability; Step 24, data recovery: Since data is stored in multiple nodes, even if some nodes fail, data can be recovered through data from other nodes to ensure data integrity and reliability.

5. A food origin tracing system according to claim 1, characterized in that: The specific working steps of the information processing module are as follows: Step S1, data preprocessing: removing noise and error information from the data read from the data storage module to ensure the accuracy of the data, specifically including deleting duplicate data and correcting abnormal data; Convert data from different sources in the data storage module into a unified format; verify the collected data in the data storage module to ensure the integrity and consistency of the data; Step S2, analyzing the data pre-processed by the data storage module, specifically: time series analysis: analyzing the time nodes of food production, processing, transportation and sales to ensure that the time sequence and duration of each link are reasonable; geographic information analysis: using the geographic information system to perform spatial analysis on the production, processing, transportation and sales locations of food to ensure the accuracy and rationality of geographic information; environmental parameter analysis: analyzing the environmental parameters collected during production and transportation to ensure that the environmental parameters meet food safety standards; quality inspection data analysis: analyzing the quality inspection data of each link to ensure that the food meets the quality and safety standards at each link; Step S3, generating traceability information: based on the data analysis results in step S2, generating a complete traceability chain of food from production to sales, including detailed information and time nodes of each link, and associating the information of each link; visually displaying the traceability information in the form of charts, maps, timelines, etc.; Step S4, anomaly detection and warning: using machine learning and data mining technology to detect anomalies in the data in the traceability information, issue an early warning for the detected anomalies, and promptly notify relevant personnel to handle them; Step S5, report generation: Generate a detailed food traceability report, including information on the entire process of production, processing, transportation and sales, for consumers and regulatory authorities to query; generate a food quality report based on quality inspection data and environmental parameters, detailing the quality and safety of each link; Reporting: Generates anomaly detection reports detailing detected anomalies and recommendations for handling them.

6. A food origin tracing system according to claim 1, characterized in that: The information query module specifically includes the following contents: Query method: QR code scanning: consumers or relevant personnel can directly obtain detailed traceability information of food by scanning the QR code on the food packaging; batch number query: enter the batch number of the food to query the production, processing, transportation and sales details of the batch of food; production date query: enter the production date of the food to query the traceability information of all foods produced on that date; other query methods: support query by product barcode, manufacturer name and other methods; Query content: Production information: including food production location, production time, producer information; Processing information: including processing location, processing time, processing technology; Transportation information: including food transportation route, transportation time, transportation environment parameters; Sales information: including food sales location, sales time, inventory information; Quality inspection information: including quality inspection results of each link of food, inspection time, and inspection agency; Query data security and privacy protection: Permission control: Set different levels of access rights so that only authorized users can access specific data and protect data privacy; Data encryption: Encrypt data during the query process to ensure the security of data transmission; Log recording: Record detailed information for each query, including query time, query method, and query content, to facilitate subsequent auditing and analysis.

7. A food origin tracing system according to claim 1, characterized in that: The user feedback module specifically includes the following contents: Feedback methods: Online evaluation: Users evaluate the quality and safety of food online through websites or mobile applications, leaving text comments and ratings; QR code feedback: By scanning the QR code on the food packaging, users can directly enter the feedback page and submit feedback information; Feedback content: Quality evaluation: users evaluate the appearance, taste, packaging and safety of food Feedback: Users report food safety issues; Problem report: Users report any problems they find; Feedback collection and processing: Data collection: The system stores the collected user feedback data in the data storage module; Automatic classification: The system automatically classifies feedback information into quality issues, safety issues, and service issues; Use of feedback data: Internal improvement: Producers and managers improve product quality and service based on feedback information; public Display: Feedback information is publicly displayed after review for reference by other consumers; Report generation: The user feedback module regularly generates user feedback reports to provide producers with trend analysis and improvement suggestions.

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