Food safety online supervision method and platform

Abstract

The invention discloses a food safety online supervision method and platform, and relates to the field of food safety supervision, and the method comprises the steps: issuing a food safety detection task to a food production enterprise and a supervision department, carrying out the safety evaluation of food, and generating a first early warning signal; generating a second early warning signal according to the feedback information of the consumer; and when the first early warning signal or the second early warning signal is generated, issuing a comprehensive inspection task instruction to a supervision department, performing food safety scoring on the food, and performing enterprise credibility scoring on the food production enterprise. Food safety detection tasks are issued to a food production enterprise and a supervision department, the detection accuracy is improved, user feedback information is collected, the user feedback information serves as one of standards for judging food safety, the participation degree of consumers and users is improved, and all-people supervision is achieved; food and food production enterprises are subjected to food safety scoring and enterprise reputation scoring, so that the food safety is more visual, and consumers can conveniently distinguish the food safety.

Description

Technical Field

[0001] The present invention relates to the technical field of food safety supervision, and in particular to an online food safety supervision method and platform. Background Art

[0002] Food safety has always been one of the topics that humans pay close attention to. In today's Internet-developed society, there has emerged a method of using online platforms to regulate food safety.

[0003] In the invention patent of publication number CN107730268A, a terminal method for food safety testing, supervision and tracing of food safety is provided, which provides a terminal method for multi-dimensional food safety solutions including food safety testing, food safety supervision and food safety QR code tracing; consumers can see the source information and food safety self-inspection information, wholesale market sampling screening information and retail market sampling screening information provided by relevant food producers by scanning the QR code; the food safety testing supervision and tracing terminal data is uploaded in real time, and the information of each link is uploaded to the supervision and tracing platform of each regional regulatory department for real-time supervision by the regulatory department to ensure that the relevant data of each link is true and valid. Although this method can trace the source of food, enable consumers to understand the information of food, and realize real-time supervision by the regulatory department, it lacks safety assessment of food, and has not implemented corresponding measures for unsafe food and enterprises. Even if traceability and supervision are achieved, the safety of food cannot be guaranteed. Summary of the invention

[0004] The technical problem solved by the present invention is that the relevant technology lacks food safety assessment and does not implement corresponding measures against unsafe food and enterprises. Even if traceability and supervision are achieved, the safety of food cannot be guaranteed.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for online supervision of food safety, comprising: Collecting food production information, organizing the production information into food production files, and uploading the food production files to the supervision cloud platform; Issue food safety testing tasks to food production enterprises and regulatory authorities respectively, conduct safety testing on food, obtain enterprise self-inspection scores and regulatory authority random inspection scores respectively, upload the enterprise self-inspection scores and regulatory authority random inspection scores to the regulatory cloud platform, and conduct food safety assessment based on the enterprise self-inspection scores and regulatory authority random inspection scores, and generate a first warning signal when the safety assessment is unqualified; Acquire feedback information from consumers, pre-process the feedback information to obtain effective feedback information, and rate the food satisfaction according to the effective feedback information, and generate a second warning signal when the satisfaction score is lower than a satisfaction threshold; When the first warning signal or the second warning signal is generated, a comprehensive inspection task instruction is issued to the regulatory department, so that the regulatory department conducts a comprehensive inspection of the food production enterprise, and scores the food safety of the food according to the results of the comprehensive inspection, and scores the corporate credibility of the food production enterprise; The food production archives, the company's self-inspection scores, the regulatory department's random inspection scores, the food safety scores and the company's credibility scores are integrated to generate a traceability QR code, which can be scanned by a mobile device.

[0006] Preferably, the production information of food is collected using a production archive collection APP, wherein the production information of food includes basic enterprise information, raw material quality report, production process image set and food quality report; The production information of the food collected by the production archive collection APP is uploaded to the supervision cloud platform and integrated into the traceability QR code.

[0007] Preferably, food safety testing tasks are issued to food production enterprises and regulatory authorities respectively to conduct food safety testing, including: Issue self-inspection tasks to food production enterprises. The self-inspection items of the self-inspection tasks include food raw material quality inspection, enterprise hygiene inspection, food quality inspection, food production date inspection and food shelf life inspection. According to the self-inspection results, the food safety score is scored, the enterprise self-inspection score is obtained and the enterprise self-inspection report is generated; Sampling tasks are issued to regulatory authorities. The sampling items of the sampling tasks include food raw material quality testing, enterprise hygiene testing, food quality testing, food production date testing and food shelf life testing. Food safety scores are given according to the sampling results, and the regulatory authorities obtain sampling scores and generate sampling reports for the regulatory authorities.

[0008] Preferably, when the enterprise self-inspection score is higher than the self-inspection score threshold, the enterprise self-inspection report is a self-inspection qualified report, otherwise it is a self-inspection unqualified report; When the random inspection score of the regulatory department is higher than the random inspection score threshold, the random inspection report of the regulatory department is a qualified random inspection report, otherwise it is an unqualified random inspection report.

[0009] Preferably, the food safety is assessed based on the enterprise's self-inspection score and the regulatory department's random inspection score. When the safety assessment is unqualified, a first warning signal is generated, which specifically includes: Obtain enterprise self-inspection reports and regulatory inspection reports: When the company's self-inspection report fails, the food will be marked as dangerous and the company will be issued a food rectification task until the company's self-inspection report is qualified; When the company's self-inspection report is qualified and the regulatory department's random inspection report is also qualified, the food will be marked as safe; When the company's self-inspection report is qualified, but the regulatory department's random inspection report is unqualified, the food will be marked as unsafe and the first warning signal will be generated.

[0010] Preferably, obtaining feedback information from consumers and preprocessing the feedback information to obtain effective feedback information specifically includes: Obtaining the usage ratings of a number of consumer users on food and recording them as feedback information; The feedback information is screened to remove duplicate values, and effective feedback information is obtained, wherein the duplicate values ​​are multiple identical ratings given to the food by the same consumer user; The usage scores in the effective feedback information are arranged in order, and a satisfaction threshold is set. When the number of scores below the satisfaction threshold accounts for more than a certain proportion of the number of effective feedback information, a second warning signal is issued.

[0011] Preferably, when the first warning signal or the second warning signal is generated, a comprehensive inspection task instruction is issued to the regulatory department to conduct a comprehensive inspection of the food production enterprise; The comprehensive inspection items include the random inspection items, the food production enterprise's historical punishment records and the background investigation of relevant personnel; When the food production enterprise has a history of punishment and there are abnormalities in the background investigation of relevant personnel, the reputation score of the food production enterprise will be rated as low, the enterprise will be temporarily closed down, and the relevant food will be removed from the shelves; When at least one of the sampling inspection items is unqualified, but the food production enterprise has a history of punishment records and the background investigation of relevant personnel is normal, a self-correction order is sent to the enterprise, so that the food production enterprise conducts internal rectification until all the sampling inspection items are qualified, and the credibility score of the food production enterprise is rated as medium; When all the sampling inspection items are qualified, and there are no abnormalities in the history of punishment records of the food production enterprise and the background investigation of relevant personnel, several sampling inspections will be carried out again. When the pass rate reaches the pass rate threshold, the food will be marked as safe and the credibility score of the food production enterprise will be rated as excellent.

[0012] Preferably, when food safety inspection tasks are issued to food production enterprises and regulatory authorities respectively, the inspection time of the safety inspection tasks is not fixed, and the tasks can be issued at any time.

[0013] A food safety online supervision platform, including a production file collection module, a safety detection task distribution module, a safety assessment module, a feedback information acquisition module, a scoring module, and a QR code generation module; The production archive collection module is used to collect and display the production information of food collected by the production archive collection APP; The safety inspection task issuing module is used to issue food safety inspection tasks to food production enterprises and regulatory authorities, thereby obtaining enterprise self-inspection scores and regulatory authorities' random inspection scores; The safety assessment module is used to conduct a safety assessment on the food according to the enterprise self-inspection score and the regulatory department random inspection score, and generate a first warning signal when the safety assessment is unqualified; The feedback information acquisition module is used to obtain feedback information from consumers, pre-process the feedback information to obtain effective feedback information, and perform a satisfaction score on the food according to the effective feedback information. When the satisfaction score is lower than a satisfaction threshold, a second warning signal is generated; The scoring module is used to receive the first warning signal or the second warning signal, issue a comprehensive inspection task instruction to the regulatory department, so that the regulatory department conducts a comprehensive inspection of the food production enterprise, and scores the food safety of the food according to the results of the comprehensive inspection, and scores the corporate credibility of the food production enterprise; The QR code generation module is used to integrate the food production archives, the enterprise self-inspection score, the supervision department's random inspection score, the food safety score and the enterprise's credibility score to generate a traceability QR code.

[0014] A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, an online food safety supervision method is executed.

[0015] The beneficial effects of the present invention include issuing food safety testing tasks to food production enterprises and regulatory authorities to improve the accuracy of testing, collecting user feedback information, and using the user feedback information as one of the criteria for judging food safety, thereby increasing the participation of consumer users and achieving "universal supervision"; performing food safety scoring and corporate credibility scoring on foods and food production enterprises, making the safety of foods and enterprises more intuitive and easier for consumers to identify. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A basic flow chart of a method for online food safety supervision provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0018] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a method for online food safety supervision, comprising: Collecting food production information, organizing the production information into food production files, and uploading the food production files to the supervision cloud platform; Issue food safety testing tasks to food production enterprises and regulatory authorities respectively, conduct safety testing on food, obtain enterprise self-inspection scores and regulatory authority random inspection scores respectively, upload the enterprise self-inspection scores and regulatory authority random inspection scores to the regulatory cloud platform, and conduct food safety assessment based on the enterprise self-inspection scores and regulatory authority random inspection scores, and generate a first warning signal when the safety assessment is unqualified; Acquire feedback information from consumers, pre-process the feedback information to obtain effective feedback information, and rate the food satisfaction according to the effective feedback information, and generate a second warning signal when the satisfaction score is lower than a satisfaction threshold; When the first warning signal or the second warning signal is generated, a comprehensive inspection task instruction is issued to the regulatory department, so that the regulatory department conducts a comprehensive inspection of the food production enterprise, and scores the food safety of the food according to the results of the comprehensive inspection, and scores the corporate credibility of the food production enterprise; The food production archives, the company's self-inspection scores, the regulatory department's random inspection scores, the food safety scores and the company's credibility scores are integrated to generate a traceability QR code, which can be scanned by a mobile device.

[0019] Use the production archive collection APP to collect food production information, the food production information includes basic enterprise information, raw material quality report, production process image set and food quality report; The production information of the food collected by the production archive collection APP is uploaded to the supervision cloud platform and integrated into the traceability QR code.

[0020] Specifically, in this embodiment, the production archive collection APP is an existing technology, which can collect at least basic enterprise information, raw material quality reports, production process image sets and food quality reports.

[0021] Issue food safety testing tasks to food production enterprises and regulatory authorities respectively, and conduct food safety testing, including: Issue self-inspection tasks to food production enterprises. The self-inspection items of the self-inspection tasks include food raw material quality inspection, enterprise hygiene inspection, food quality inspection, food production date inspection and food shelf life inspection. According to the self-inspection results, the food safety score is scored, the enterprise self-inspection score is obtained and the enterprise self-inspection report is generated; Sampling tasks are issued to regulatory authorities. The sampling items of the sampling tasks include food raw material quality testing, enterprise hygiene testing, food quality testing, food production date testing and food shelf life testing. Food safety scores are given according to the sampling results, and the regulatory authorities obtain sampling scores and generate sampling reports for the regulatory authorities.

[0022] Specifically, self-inspection tasks are issued to food production enterprises, and sampling tasks are issued to regulatory authorities. The two testing methods are carried out together to improve the accuracy of the test. In the self-inspection task, if 60% of the items are qualified, the company's self-inspection score is 60 points, and if 90% of the items are qualified, the company's self-inspection score is 90 points. The sampling task also has the same scoring logic.

[0023] When the enterprise self-inspection score is higher than the self-inspection score threshold, the enterprise self-inspection report is a self-inspection qualified report, otherwise it is a self-inspection unqualified report; When the random inspection score of the regulatory department is higher than the random inspection score threshold, the random inspection report of the regulatory department is a qualified random inspection report, otherwise it is an unqualified random inspection report.

[0024] Specifically, the self-inspection scoring threshold and the random inspection scoring threshold are both set to 90 points. When the enterprise's self-inspection score is higher than 90 points, a self-inspection qualified report is generated, otherwise a self-inspection unqualified report is generated; when the random inspection score of the regulatory department is higher than 90 points, a random inspection qualified report is generated, otherwise a random inspection unqualified report is generated. The simultaneous self-inspection of enterprises and random inspections by regulatory departments can improve the accuracy of detection and prevent enterprises from falsifying information. If the enterprise's self-inspection score is significantly lower than the random inspection score of the regulatory department, there is a high probability that the enterprise has falsified information.

[0025] The food safety is evaluated based on the enterprise's self-inspection score and the regulatory department's random inspection score. When the safety evaluation is unqualified, a first warning signal is generated, specifically including: Obtain enterprise self-inspection reports and regulatory inspection reports: When the company's self-inspection report fails, the food will be marked as dangerous and the company will be issued a food rectification task until the company's self-inspection report is qualified; When the company's self-inspection report is qualified and the regulatory department's random inspection report is also qualified, the food will be marked as safe; When the company's self-inspection report is qualified, but the regulatory department's random inspection report is unqualified, the food will be marked as unsafe and the first warning signal will be generated.

[0026] Specifically, when the company's self-inspection report is unqualified, it is considered that there is a problem with the company's production process, the food is marked as dangerous, and the company is issued a food rectification task, which includes rectification of raw materials, production process, and sanitary conditions; When the company's self-inspection report is qualified, but the regulatory department's random inspection report is unqualified, the food will be marked as unsafe, and the company will be considered to have committed fraud, generating the first warning signal for subsequent inspections.

[0027] Obtaining consumer feedback information and preprocessing the feedback information to obtain effective feedback information, specifically including: Obtaining the usage ratings of a number of consumer users on food and recording them as feedback information; The feedback information is screened to remove duplicate values, and effective feedback information is obtained, wherein the duplicate values ​​are multiple identical ratings given to the food by the same consumer user; The usage scores in the effective feedback information are arranged in order, and a satisfaction threshold is set. When the number of scores below the satisfaction threshold accounts for more than a certain proportion of the number of effective feedback information, a second warning signal is issued.

[0028] Specifically, a feedback channel is set up through which consumers can rate food, and the scores given by consumers to food are used to judge the safety of food. Consumer feedback information is used as one of the criteria for scoring food, thereby increasing consumer participation and achieving mutual communication between enterprises, regulatory authorities, regulatory platforms and users, making the regulatory methods more perfect and conducive to building a safe and reliable regulatory platform.

[0029] When the first warning signal or the second warning signal is generated, a comprehensive inspection task instruction is issued to the regulatory authorities to conduct a comprehensive inspection of the food production enterprise; The comprehensive inspection items include the random inspection items, the food production enterprise's historical punishment records and the background investigation of relevant personnel; When the food production enterprise has a history of punishment and there are abnormalities in the background investigation of relevant personnel, the reputation score of the food production enterprise will be rated as low, the enterprise will be temporarily closed down, and the relevant food will be removed from the shelves; When at least one of the sampling inspection items is unqualified, but the food production enterprise has a history of punishment records and the background investigation of relevant personnel is normal, a self-correction order is sent to the enterprise, so that the food production enterprise conducts internal rectification until all the sampling inspection items are qualified, and the credibility score of the food production enterprise is rated as medium; When all the sampling inspection items are qualified, and there are no abnormalities in the history of punishment records of the food production enterprise and the background investigation of relevant personnel, several sampling inspections will be carried out again. When the pass rate reaches the pass rate threshold, the food will be marked as safe and the credibility score of the food production enterprise will be rated as excellent.

[0030] Specifically, when the first warning signal or the second warning signal is generated, it is necessary to detect whether the food safety meets the standard and whether the enterprise's credibility meets the standard; When a food production company has a history of penalties and there are abnormalities in the background investigation of relevant personnel, the company's credibility will be deemed to be low and it will be difficult for it to produce safer food, and the food produced by the company will be removed from the shelves.

[0031] When a food production company has a history of penalties and there are no abnormalities in the background checks of relevant personnel, the company's credibility is considered to be medium. If low food safety is found, it is considered to be an operational problem in the company's production process, and the company can be supervised to make corrections. If all the results of a test are qualified, the results cannot be determined immediately, and multiple tests are required to avoid accidental results.

[0032] When food safety testing tasks are issued to food production enterprises and regulatory authorities respectively, the testing time of the safety testing tasks is not fixed, and the tasks can be issued at any time.

[0033] Specifically, food safety testing tasks are issued to enterprises and regulatory authorities from time to time to prevent enterprises from engaging in "pretend" behavior and improve the reliability of supervision.

[0034] Embodiment 2 provides a food safety online supervision platform, including a production file collection module, a safety detection task issuing module, a safety assessment module, a feedback information acquisition module, a scoring module, and a QR code generation module; The production archive collection module is used to collect and display the production information of food collected by the production archive collection APP; The safety inspection task issuing module is used to issue food safety inspection tasks to food production enterprises and regulatory authorities, thereby obtaining enterprise self-inspection scores and regulatory authorities' random inspection scores; The safety assessment module is used to conduct a safety assessment on the food according to the enterprise self-inspection score and the regulatory department random inspection score, and generate a first warning signal when the safety assessment is unqualified; The feedback information acquisition module is used to obtain feedback information from consumers, pre-process the feedback information to obtain effective feedback information, and perform a satisfaction score on the food according to the effective feedback information. When the satisfaction score is lower than a satisfaction threshold, a second warning signal is generated; The scoring module is used to receive the first warning signal or the second warning signal, issue a comprehensive inspection task instruction to the regulatory department, so that the regulatory department conducts a comprehensive inspection of the food production enterprise, and scores the food safety of the food according to the results of the comprehensive inspection, and scores the corporate credibility of the food production enterprise; The QR code generation module is used to integrate the food production archives, the enterprise self-inspection score, the supervision department's random inspection score, the food safety score and the enterprise's credibility score to generate a traceability QR code.

[0035] The present invention issues food safety testing tasks to food production enterprises and regulatory authorities to improve the accuracy of testing, collects user feedback information, and uses user feedback information as one of the criteria for judging food safety, thereby increasing the participation of consumer users and achieving "universal supervision"; food safety scoring and corporate credibility scoring are performed on food and food production enterprises, making the safety of food and enterprises more intuitive and easier for consumers to identify. The present invention integrates supervision, evaluation and management, creating a safe and reliable online food safety supervision method and platform.

[0036] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0037] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for online food safety supervision, characterized in that: include: Collecting food production information, organizing the production information into food production files, and uploading the food production files to the supervision cloud platform; Issue food safety testing tasks to food production enterprises and regulatory authorities respectively, conduct safety testing on food, obtain enterprise self-inspection scores and regulatory authority random inspection scores respectively, upload the enterprise self-inspection scores and regulatory authority random inspection scores to the regulatory cloud platform, and conduct food safety assessment based on the enterprise self-inspection scores and regulatory authority random inspection scores, and generate a first warning signal when the safety assessment is unqualified; Acquire feedback information from consumers, pre-process the feedback information to obtain effective feedback information, and rate the food satisfaction according to the effective feedback information, and generate a second warning signal when the satisfaction score is lower than a satisfaction threshold; When the first warning signal or the second warning signal is generated, a comprehensive inspection task instruction is issued to the regulatory department, so that the regulatory department conducts a comprehensive inspection of the food production enterprise, and scores the food safety of the food according to the results of the comprehensive inspection, and scores the corporate credibility of the food production enterprise; The food production archives, the company's self-inspection scores, the regulatory department's random inspection scores, the food safety scores and the company's credibility scores are integrated to generate a traceability QR code, which can be scanned by a mobile device.

2. A method for online food safety supervision as claimed in claim 1, characterized in that: Use the production archive collection APP to collect food production information, the food production information includes basic enterprise information, raw material quality report, production process image set and food quality report; The production information of the food collected by the production archive collection APP is uploaded to the supervision cloud platform and integrated into the traceability QR code.

3. A method for online food safety supervision as claimed in claim 2, characterized in that: Issue food safety testing tasks to food production enterprises and regulatory authorities respectively, and conduct food safety testing, including: Issue self-inspection tasks to food production enterprises. The self-inspection items of the self-inspection tasks include food raw material quality inspection, enterprise hygiene inspection, food quality inspection, food production date inspection and food shelf life inspection. According to the self-inspection results, the food safety score is scored, the enterprise self-inspection score is obtained and the enterprise self-inspection report is generated; Sampling tasks are issued to regulatory authorities. The sampling items of the sampling tasks include food raw material quality testing, enterprise hygiene testing, food quality testing, food production date testing and food shelf life testing. Food safety scores are given according to the sampling results, and the regulatory authorities obtain sampling scores and generate sampling reports for the regulatory authorities.

4. A method for online food safety supervision as claimed in claim 3, characterized in that: When the enterprise self-inspection score is higher than the self-inspection score threshold, the enterprise self-inspection report is a self-inspection qualified report, otherwise it is a self-inspection unqualified report; When the random inspection score of the regulatory department is higher than the random inspection score threshold, the random inspection report of the regulatory department is a qualified random inspection report, otherwise it is an unqualified random inspection report.

5. A method for online food safety supervision as claimed in claim 4, characterized in that: The food safety is evaluated based on the enterprise's self-inspection score and the regulatory department's random inspection score. When the safety evaluation is unqualified, a first warning signal is generated, specifically including: Obtain enterprise self-inspection reports and regulatory inspection reports: When the company's self-inspection report fails, the food will be marked as dangerous and the company will be issued a food rectification task until the company's self-inspection report is qualified; When the company's self-inspection report is qualified and the regulatory department's random inspection report is also qualified, the food will be marked as safe; When the enterprise's self-inspection report is a qualified report, and when the regulatory department's random inspection report is an unqualified report, the food will be marked as unsafe and the first warning signal will be generated.

6. A method for online food safety supervision as claimed in claim 5, characterized in that: Obtaining consumer feedback information and preprocessing the feedback information to obtain effective feedback information, specifically including: Obtaining the usage ratings of a number of consumer users on food and recording them as feedback information; The feedback information is screened to remove duplicate values, and effective feedback information is obtained, wherein the duplicate values ​​are multiple identical ratings given to the food by the same consumer user; The usage scores in the effective feedback information are arranged in order, and a satisfaction threshold is set. When the number of scores below the satisfaction threshold accounts for more than a certain proportion of the number of effective feedback information, a second warning signal is issued.

7. A method for online food safety supervision as claimed in claim 6, characterized in that: When the first warning signal or the second warning signal is generated, a comprehensive inspection task instruction is issued to the regulatory authorities to conduct a comprehensive inspection of the food production enterprise; The comprehensive inspection items include the random inspection items, the food production enterprise's historical punishment records and the background investigation of relevant personnel; When the food production enterprise has a history of punishment and there are abnormalities in the background investigation of relevant personnel, the reputation score of the food production enterprise will be rated as low, the enterprise will be temporarily closed down, and the relevant food will be removed from the shelves; When at least one of the sampling inspection items is unqualified, but the food production enterprise has a history of punishment records and the background investigation of relevant personnel is normal, a self-correction order is sent to the enterprise, so that the food production enterprise conducts internal rectification until all the sampling inspection items are qualified, and the credibility score of the food production enterprise is rated as medium; When all the sampling inspection items are qualified, and there are no abnormalities in the history of punishment records of the food production enterprise and the background investigation of relevant personnel, several sampling inspections will be carried out again. When the pass rate reaches the pass rate threshold, the food will be marked as safe and the credibility score of the food production enterprise will be rated as excellent.

8. A method for online food safety supervision as claimed in claim 1, characterized in that: When food safety testing tasks are issued to food production enterprises and regulatory authorities respectively, the testing time of the safety testing tasks is not fixed, and the tasks can be issued at any time.

9. A food safety online supervision platform, characterized by: It includes production file collection module, safety inspection task distribution module, safety assessment module, feedback information acquisition module, scoring module and QR code generation module; The production archive collection module is used to collect and display the production information of food collected by the production archive collection APP; The safety inspection task issuing module is used to issue food safety inspection tasks to food production enterprises and regulatory authorities, thereby obtaining enterprise self-inspection scores and regulatory authorities' random inspection scores; The safety assessment module is used to conduct a safety assessment on the food according to the enterprise self-inspection score and the regulatory department random inspection score, and generate a first warning signal when the safety assessment is unqualified; The feedback information acquisition module is used to obtain feedback information from consumers, pre-process the feedback information to obtain effective feedback information, and perform a satisfaction score on the food according to the effective feedback information. When the satisfaction score is lower than a satisfaction threshold, a second warning signal is generated; The scoring module is used to receive the first warning signal or the second warning signal, issue a comprehensive inspection task instruction to the regulatory department, so that the regulatory department conducts a comprehensive inspection of the food production enterprise, and scores the food safety of the food according to the results of the comprehensive inspection, and scores the corporate credibility of the food production enterprise; The QR code generation module is used to integrate the food production archives, the enterprise self-inspection score, the supervision department's random inspection score, the food safety score and the enterprise's credibility score to generate a traceability QR code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the online food safety supervision method according to any one of claims 1 to 8 is implemented.

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