Food safety visual management and control system and method

Abstract

The invention discloses a food safety visual management and control system and method, and relates to the technical field of food safety supervision, a camera installed in a canteen is accessed to an inspection cloud platform to realize visualization of each processing link of canteen dishes, each monitoring video shot by the camera and work information of each worker are uploaded to the cloud platform, and the cloud platform is accessed to the inspection cloud platform. According to the method, a source tracing chain is formed, the complaint information is traced through the source tracing chain, the problem is solved in the bud, public opinion crisis caused by dissatisfactory emotion accumulation of faculty and employees is avoided, and meanwhile, associated workers obtaining the complaint information can obtain the complaint information. Each worker is scored according to the historical operation violation information and complaint information association frequency of each worker, and a scoring result is visualized in a digital inspection screen, so that the workers can clearly know own problems, actively improve working methods and attitudes, strictly abide by food safety specifications and operation processes, and improve the quality of food safety. The food safety risk is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of food safety supervision, and specifically to a food safety visualization management and control system and method. Background Art

[0002] At present, the visual supervision system for open kitchens in school canteens is relatively complete, but the feedback channel for complaints is too single. Feedback is still made on site in the canteen and through suggestion boxes. Currently, the school has no way to follow up and cannot achieve transparency in the handling process. At the same time, there is no clear management method for the staff involved in the complaints. Therefore, this application proposes a food safety visual management and control system and method.

[0003] Existing technologies, such as the invention patent application with announcement number: CN109685306A, disclose a full-process supervision method for food safety in public canteens, which includes the following steps: traceability supervision; warehouse management; video supervision; safety supervision; food production process supervision; disinfection supervision; sample retention supervision; qualification management. It makes full use of technologies such as the Internet of Things, big data, cloud computing, and video intelligent analysis to comprehensively improve food safety supervision and promote the modernization of food safety management. From the procurement and acceptance of food raw materials, processing and cooking, meal preparation, tableware cleaning and disinfection, sample retention and other operational processes, standardized, refined, efficient, information-based, and standardized supervision can be achieved.

[0004] Regarding the above plan, there are the following technical problems: 1. Current technology mainly uses the Internet, big data, cloud computing and video intelligent analysis technologies to complete the supervision of the entire process of food in the cafeteria from raw material procurement, meal preparation, cooking, sample retention and tableware cleaning. However, current technology does not deal with the complaints of faculty and students in the cafeteria in a targeted manner, and thus cannot achieve targeted improvement of the quality of cafeteria food based on customer complaints. The current technology's neglect of this level may lead to a decrease in the satisfaction of faculty and students with cafeteria food, and even affect the economic benefits of the cafeteria.

[0005] 2. Current technology does not consider analyzing the relevant staff associated with the complaints, nor does it develop targeted supervision plans for relevant staff who are associated with a large number of complaints. The current technology's neglect of this aspect will lead to the same food problems recurring and unable to be solved from the root, thereby reducing customer satisfaction and even triggering a public opinion crisis. Summary of the Invention

[0006] The purpose of this application is to provide a food safety visualization management and control system and method to solve the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present application adopts the following technical solutions: In the first aspect, the present application provides a food safety visualization management and control system, including: a visualization module: used to reuse the original canteen surveillance camera, connect it to the inspection cloud platform for cloud inspection, realize the monitoring of all canteen staff, and store the captured surveillance video and the work information of each staff member on the cloud platform to form a traceability chain, and at the same time set up a digital inspection screen to visualize the work information of each staff member.

[0008] Complaint management module: used to collect various complaint information of school teachers and staff about the canteen through the terminal, and then classify the complaint information, and obtain various food safety complaint information, so as to analyze and obtain the priority processing index of various food safety complaint information.

[0009] Complaint handling module: used to prioritize the handling of complaint information of each food category, obtain the staff members associated with each food category complaint opinion, and then handle the staff members associated with each complaint information accordingly.

[0010] Processing feedback module: used to conduct secondary rating of staff at all levels after a preset time period, and visualize the rating results of each staff within several preset time periods on the digital inspection screen.

[0011] In the second aspect, the present application provides a food safety visualization management and control method, including: Step 1, Visualization: used to reuse the original canteen surveillance camera, connect it to the inspection cloud platform for cloud inspection, realize the monitoring of all canteen staff, and store the captured surveillance video and the work information of each staff member on the cloud platform to form a traceability chain, and at the same time set up a digital inspection screen to visualize the work information of each staff member.

[0012] Step 2: Complaint management: This is used to collect various complaint information from school faculty and staff about the canteen through the terminal, and then classify the complaint information and obtain various food safety complaint information, so as to analyze and obtain the priority processing index of each food safety complaint information.

[0013] Step 3. Complaint handling: It is used to obtain the staff members associated with each food complaint based on the priority processing index of each food complaint information, and then handle the staff members associated with each complaint information accordingly.

[0014] Step 4: Processing feedback: This is used to conduct a second rating of staff at all levels after a preset time period, and visualize the rating results of each staff member within several preset time periods on the digital inspection screen.

[0015] The beneficial effects of this application are: 1. This application connects to the inspection cloud platform through the cameras installed in the cafeteria, thereby realizing the visualization of each processing link of the cafeteria dishes, and uploading the monitoring videos taken by the cameras and the work information of each staff member to the cloud platform to form a traceability chain. Through the traceability chain, each complaint information is traced to the source, and the problem is solved in the bud, avoiding the public opinion crisis caused by the accumulation of dissatisfaction of faculty and staff. At the same time, the relevant staff members of each complaint information are obtained, and each staff member is scored according to the historical operation violation information and the number of times the complaint information is associated. The scoring results are visualized on the digital inspection screen, so that the staff can understand their own problems, prompting them to actively improve their working methods and attitudes, strictly abide by food safety regulations and operating procedures, and reduce food safety risks.

[0016] 2. This application connects the canteen's existing cameras to the inspection cloud platform, and adds AI cameras and high-definition infrared cameras, etc., to achieve comprehensive monitoring of all areas of the canteen. At the same time, the work videos of each staff member are obtained through each camera, and the work videos and work information of each staff member are uploaded to the cloud platform to form a traceability chain, laying the foundation for the traceability of subsequent complaint information.

[0017] 3. This application collects complaint information about the canteen from school faculty and students through the terminal, obtains food safety complaint information through classification and determines the priority processing index, so that the school can quickly focus on key issues such as possible food spoilage and substandard hygiene, give priority to high-risk issues, minimize food safety risks, and ensure the food safety of teachers and students, thereby enhancing the recognition and satisfaction of faculty and students with school management, avoiding public opinion crises caused by accumulated dissatisfaction, and helping to maintain the school's good image and improve the school's social reputation and credibility.

[0018] 4. This application obtains information from all staff members associated with each complaint and then rates each staff member, allowing the staff member to identify their own problems and prompting them to proactively improve their working methods and attitudes, improve their professional capabilities, and avoid similar problems from happening again, so as to provide better services. At the same time, it enhances the sense of responsibility of each staff member, and encourages them to more strictly abide by food safety regulations and operating procedures at work, reduce food safety risks, and ensure the food safety and health of teachers and students. At the same time, after a preset time period, each staff member will be rated a second time, which will help mobilize the work enthusiasm of each staff member and more effectively ensure the food hygiene and safety of the canteen. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0020] Figure 1 This is a schematic diagram of the system structure connection for this application.

[0021] Figure 2 The figure is a flowchart of the steps for implementing the application method. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0023] Reference Figure 1 As shown, the present application provides a food safety visualization management and control system in the first aspect, including the following modules: Visualization module: used to reuse the original canteen surveillance camera, connect it to the inspection cloud platform for cloud inspection, realize the monitoring of all canteen staff, and store the captured surveillance video and the work information of each staff member on the cloud platform to form a traceability chain, and at the same time set up a digital inspection screen to visualize the work information of each staff member.

[0024] In a specific example, the work information includes the basic information, job position information, work content information and work rating information of each staff member, wherein the basic information includes name, gender, age and employee number, the job position information includes job title, working hours and work location, and the work content information includes the work content of each staff member, the number of operational violations of each staff member within a preset period and the number of times complaint information is associated.

[0025] It should be noted that the job titles include chef, kitchen helper, cashier and buyer, etc.; the work locations include canteen hall, warehouse and kitchen operation room, etc.; the work content information includes that the chef is responsible for formulating menus, preparing ingredients and cooking dishes, and the warehouse manager is responsible for the warehousing and outbound management of ingredients and supplies, and taking inventory and recording inventory, etc.

[0026] In a specific example, the original canteen surveillance camera was reused and connected to the inspection cloud platform for cloud inspection to realize the monitoring of the work information of each canteen staff member. The specific process is as follows: the facial detection and temperature access control at the original canteen kitchen entrance was connected to the inspection cloud platform, and the basic information of each staff member entering the canteen kitchen was confirmed based on it.

[0027] The basic surveillance cameras in each area of the original canteen and the open kitchen cameras are connected to the inspection cloud platform to monitor the work position information and work content information of each staff member.

[0028] It should be noted that the various areas of the cafeteria include the cafeteria hall, kitchen operation room and warehouse, etc.

[0029] New fire-prone and away-from-person cameras, smart refrigerator facial sample cameras, AI analysis cameras and high-definition infrared cameras have been added to the canteen to monitor every aspect of the canteen's food from storage to cooking.

[0030] The information monitored by the above cameras is uploaded to the cloud platform, thereby forming a traceability chain for canteen food information.

[0031] Complaint management module: used to collect various complaint information of school teachers and staff about the canteen through the terminal, and then classify the complaint information, and obtain various food safety complaint information, so as to analyze and obtain the priority processing index of various food safety complaint information.

[0032] Complaint management module: used to collect various complaint information of school teachers and staff about the canteen through the terminal, and then classify the complaint information, and obtain various food safety complaint information, so as to analyze and obtain the priority processing index of various food safety complaint information.

[0033] In a specific example, the classification of each complaint information is carried out as follows: the complaint subject keywords of each complaint information received by the terminal are screened, the complaint subject keywords in each complaint information are obtained, and then a set of complaint subject keywords for each complaint information is constructed, and matched with the set of complaint subject keywords corresponding to each complaint type stored in the cloud platform and the set of synonyms of each complaint subject keyword to obtain the complaint type to which each complaint information belongs.

[0034] It should be noted that the subject of the complaint includes the name of the food and the name of the tableware, for example, the "plate" in the complaint opinion "There are stains left on the plate" is the subject of the complaint.

[0035] The negative information keywords of each complaint information received by the terminal are screened to obtain the negative description keywords in each complaint information, and then a negative description keyword set of each complaint information is constructed.

[0036] It should be noted that the types of complaints include food safety complaints, service attitude complaints and other types of complaints.

[0037] It should be noted that the negative description keywords are descriptive words for the subject of the complaint in the complaint information. For example, the word "stains" in the complaint opinion "There are stains left on the plate" is a negative description.

[0038] In a specific example, the analysis obtains the priority processing index of each food safety complaint information. The specific process is as follows: first, each food safety complaint information is quantified to obtain a set of negative description keywords for each food safety complaint information, and the negative description keyword set for each food safety complaint information is matched with each negative description keyword set in the cloud platform and the risk score corresponding to each negative description keyword to obtain the risk score of each food safety complaint information. When there is more than one risk score for a food safety complaint information matched, the highest score is taken as the risk score of the food safety complaint information, and the risk score of each food safety complaint information is obtained accordingly.

[0039] It should be noted that the risk score corresponding to each negative descriptive keyword is set by the canteen manager. For example, when using a 10-point scoring system, the risk score corresponding to "spoilage", "strange smell" and "foreign matter" is set to 9 points, and the risk score corresponding to "too salty" and "too oily" is set to 5 points, etc. There is no specific restriction here.

[0040] Then, the negative description keyword set of each food safety complaint information is matched with the negative description keyword set of each historical food safety complaint information stored in the cloud platform. When the overlap rate of the negative description keywords of a food safety complaint information and the negative description keywords of a historical food safety complaint information is greater than or equal to 80%, the historical food safety complaint information is recorded as the reference complaint information of the current food safety complaint information, and the reference complaint information of each food safety complaint information is obtained based on this, and then the corresponding risk score correction factor of each food safety complaint information is set according to the total number of each reference complaint information.

[0041] It should be noted that the risk score correction factor of each food safety complaint information is set according to the total number of reference complaint information, including when the reference complaint information of a food safety complaint information is 0, setting the risk score correction factor of the food safety complaint information to 1.0; when the reference complaint information of a food safety complaint information is 1, setting the risk score correction factor of the food safety complaint information to 1.1; when the reference complaint information of a food safety complaint information is 2, setting the risk score correction factor of the food safety complaint information to 1.2, thereby obtaining the risk score correction factor of each food safety complaint information.

[0042] By comprehensively considering the food safety risk score of each type of food safety complaint information and the corresponding correction factor of the food safety risk score, the priority processing index of each type of food safety complaint information is calculated according to the calculation formula: Complaint information priority processing index = food safety risk score * corresponding food safety risk score correction factor.

[0043] Complaint handling module: used to prioritize the handling of complaint information of each food category, obtain the staff members associated with each food category complaint opinion, and then handle the staff members associated with each complaint information accordingly.

[0044] In a specific example, each complaint information is processed one by one according to its priority processing index. The specific processing process is as follows: the priority processing index of each complaint information is sorted from large to small, and then a complaint information processing sequence table is constructed, and each complaint information is processed in sequence according to the complaint information processing sequence table.

[0045] The complaint information ranked first in the table is recorded as the target complaint information. According to the information content of the target complaint information and the keyword set of the complaint subject, the time and specific location of the event corresponding to the target complaint information are obtained. The target complaint information is traced through the traceability chain stored in the cloud platform, and the abnormal time point of the complaint subject of the target complaint information is obtained, thereby obtaining the relevant staff responsible for the complaint subject at that time point and recording them as target staff. The work information of the target staff is then traced through the traceability chain stored in the cloud platform, and the number of operation violations and complaint information associations of the target staff within the preset period are obtained. Based on this, the number of operation violations and complaint information associations of each staff member within the preset period are obtained.

[0046] It should be noted that the preset period is set by relevant staff and is not specifically limited here.

[0047] Each staff member is rated based on the number of operational violations and the number of complaint information associations within a preset period, and a supervision plan for each staff member is formulated based on the rating results.

[0048] In a specific example, the staff is rated according to the number of operational violations and the number of times the complaint information is associated with each staff member within a preset period. The specific process is as follows: the number of operational violations and the number of times the complaint information is associated with each staff member during the preset period are recorded as Q i and W i , where i represents the number of each staff member, i is a positive integer, and the number of times the number of operation violations and the number of times the complaint information received by the mobile terminal is associated are substituted into the work rating model expression:

[0049] Output the job rating α of worker number i i , where Q′ and W′ represent the standard value of the number of staff member operation violations and the standard value of the number of complaint information associations, respectively, and both Q′ and W′ are set to 0.

[0050] In a specific example, the supervision plan for each staff member is formulated based on the rating results. The specific process is as follows: when a staff member is rated as level one, it indicates that the staff member's work behavior is compliant and there is no need to formulate a supervision plan for the staff member. Each level one staff member is supervised accordingly.

[0051] When a staff member is rated as level two, based on the traceability results of the staff member's related complaint information and the specific behaviors of operational violations, the various operational violations during the staff member's work are obtained and recorded as key monitoring links. When the camera recognizes that the staff member is performing operations in key monitoring links, the AI analysis camera and high-definition infrared camera are activated to carry out key monitoring of the staff member. When the staff member is monitored to have violated operational regulations, an early warning prompt is issued, and the level two staff members are supervised accordingly.

[0052] When a staff member is rated at level three, the staff member will be monitored in real time through AI analysis cameras and high-definition infrared cameras, and the staff member's illegal operations will be identified in real time. When the staff member is identified as violating the operation regulations, an early warning will be issued, and each level three staff member will be supervised accordingly.

[0053] Processing feedback module: used to conduct secondary rating of staff at all levels after a preset time period, and visualize the rating results of each staff within several preset time periods on the digital inspection screen.

[0054] It should be noted that the preset time period is set by relevant staff and can be one week or half a month, and is not specifically limited here.

[0055] In a specific example, after a preset time period, staff at all levels are rated a second time. The specific process is as follows: after the rating of each staff member is completed, the number of operational violations and the number of complaint associations of each staff member within the preset time period are counted.

[0056] If a staff member does not receive any related complaint information and number of kitchen violations within a preset time period, the staff member will be re-rated.

[0057] If a staff member receives related complaint information within a preset time period and has violated operational regulations, the staff member's original rating will be judged. If the staff member is a first-level or second-level staff member, the staff member will be re-rated. If the staff member is a third-level staff member, the staff member's original rating will be maintained.

[0058] Each staff member will be rated a second time in the same manner as above.

[0059] Reference Figure 2 As shown, the present application provides a food safety visualization management and control method in the second aspect, including: Step 1, visualization: used to reuse the original canteen surveillance camera, connect it to the inspection cloud platform for cloud inspection, realize the monitoring of all canteen staff, and store the captured surveillance video and the work information of each staff member on the cloud platform to form a traceability chain, and at the same time set up a digital inspection screen to visualize the work information of each staff member.

[0060] Step 2: Complaint management: This is used to collect various complaint information from school faculty and staff about the canteen through the terminal, and then classify the complaint information and obtain various food safety complaint information, so as to analyze and obtain the priority processing index of each food safety complaint information.

[0061] Step 3. Complaint handling: It is used to obtain the staff members associated with each food complaint based on the priority processing index of each food complaint information, and then handle the staff members associated with each complaint information accordingly.

[0062] Step 4: Processing feedback: This is used to conduct a second rating of staff at all levels after a preset time period, and visualize the rating results of each staff member within several preset time periods on the digital inspection screen.

[0063] This application connects to the inspection cloud platform through the cameras installed in the cafeteria, thereby realizing the visualization of each processing link of the cafeteria dishes, and uploading the monitoring videos taken by the cameras and the work information of each staff member to the cloud platform to form a traceability chain. Through the traceability chain, the complaint information is traced to the source, and the problem is solved in the bud, avoiding the public opinion crisis caused by the accumulation of dissatisfaction of faculty and staff. At the same time, the relevant staff members of each complaint information are obtained, and each staff member is scored according to the historical operation violation information and the number of times the complaint information is associated. The scoring results are visualized on the digital inspection screen, so that the staff can understand their own problems, prompt them to actively improve their working methods and attitudes, strictly abide by food safety regulations and operating procedures, and reduce food safety risks.

[0064] The above content is merely an example and explanation of the concept of the present application. Technicians in this technical field may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they should all fall within the scope of protection of this application.

Claims

1. A food safety visual management and control system, characterized in that: include: Visualization module: used to reuse the original cafeteria surveillance cameras and connect them to the inspection cloud platform for cloud inspection, so as to monitor all cafeteria staff members. The captured surveillance videos and the work information of each staff member are stored on the cloud platform to form a traceability chain. At the same time, a digital inspection screen is set up to visualize the work information of each staff member. Complaint management module: used to collect various complaint information about the canteen from school faculty and staff through the terminal, and then classify the complaint information and obtain various food safety complaint information, so as to analyze and obtain the priority processing index of each food safety complaint information; Complaint handling module: used to obtain the staff members associated with each food complaint based on the priority processing index of each food complaint information, and then handle the staff members associated with each complaint information accordingly; Processing feedback module: used to conduct secondary rating of staff at all levels after a preset time period, and visualize the rating results of each staff within several preset time periods on the digital inspection screen.

2. A food safety visualization management and control system according to claim 1, characterized in that: The work information includes the basic information, job position information, work content information and work rating information of each staff member, wherein the basic information includes name, gender, age and employee number, the job position information includes job title, working hours and work location, and the work content information includes the work content of each staff member, the number of operational violations of each staff member within a preset period and the number of times complaint information is associated.

3. A food safety visualization management and control system according to claim 2, characterized in that: The original canteen surveillance cameras are reused and connected to the inspection cloud platform for cloud inspection to monitor the work information of each canteen staff member. The specific process is as follows: The existing facial recognition and temperature detection access control system at the canteen kitchen entrance is connected to the inspection cloud platform to confirm the basic information of each staff member entering the canteen kitchen; Connect the existing basic surveillance cameras in each area of the cafeteria and the open kitchen cameras to the inspection cloud platform to monitor the work position information and work content of each staff member; New fire-prone and person-free cameras, smart refrigerator facial recognition cameras, AI analysis cameras, and high-definition infrared cameras have been added to the cafeteria to monitor every aspect of food storage and cooking. The information monitored by the above cameras is uploaded to the cloud platform, thereby forming a traceability chain of canteen food information.

4. A food safety visualization management and control system according to claim 3, characterized in that: The specific process of classifying each complaint information is as follows: Filter the complaint subject keywords of each complaint information received by the terminal, obtain the complaint subject keywords in each complaint information, and then construct a set of complaint subject keywords for each complaint information. Match the set of complaint subject keywords and the set of synonyms of each complaint subject keyword corresponding to each complaint type stored in the cloud platform to obtain the complaint type to which each complaint information belongs; The negative information keywords of each complaint information received by the terminal are screened to obtain the negative description keywords in each complaint information, and then a negative description keyword set of each complaint information is constructed.

5. A food safety visual management and control system according to claim 4, characterized in that: The analysis yields a priority index for each food safety complaint information. The specific process is as follows: First, each food safety complaint information is quantified to obtain a set of negative descriptive keywords for each food safety complaint information. The negative descriptive keyword set for each food safety complaint information is matched with each negative descriptive keyword set in the cloud platform and the corresponding risk score of each negative descriptive keyword to obtain the risk score of each food safety complaint information. When more than one risk score is obtained for a food safety complaint information, the highest score is taken as the risk score of the food safety complaint information, and the risk score of each food safety complaint information is obtained accordingly; Then, the negative description keyword set of each food safety complaint information is matched with the negative description keyword set of each historical food safety complaint information stored in the cloud platform. When the overlap rate of the negative description keywords of a certain food safety complaint information and the negative description keywords of a historical food safety complaint information is greater than or equal to 80%, the historical food safety complaint information is recorded as the reference complaint information of the current food safety complaint information. Based on this, the reference complaint information of each food safety complaint information is obtained, and then the corresponding risk score correction factor of each food safety complaint information is set according to the total number of each reference complaint information; By comprehensively considering the food safety risk score of each type of food safety complaint information and the corresponding correction factor of the food safety risk score, the priority processing index of each type of food safety complaint information is calculated according to the calculation formula: Complaint information priority processing index = food safety risk score * corresponding food safety risk score correction factor.

6. A food safety visualization management and control system according to claim 5, characterized in that: Each complaint information is processed one by one according to its priority processing index. The specific processing process is as follows: Sort the priority processing index of each complaint information from large to small, and then construct a complaint information processing sequence table, and process each complaint information in sequence according to the complaint information processing sequence table; The complaint information ranked first in the table is recorded as the target complaint information. According to the information content of the target complaint information and the keyword set of the complaint subject, the time and specific location of the event corresponding to the target complaint information are obtained. The target complaint information is traced through the traceability chain stored in the cloud platform, and the abnormal time point of the complaint subject of the target complaint information is obtained, thereby obtaining the relevant staff member who is responsible for the complaint subject at that time point and recording them as the target staff member. The work information of the target staff member is then traced through the traceability chain stored in the cloud platform, and the number of operation violations and complaint information associations of the target staff member within the preset period are obtained. Based on this, the number of operation violations and complaint information associations of each staff member within the preset period are obtained; Each staff member is rated based on the number of operational violations and the number of complaint information associations within a preset period, and a supervision plan for each staff member is formulated based on the rating results.

7. A food safety visualization management and control system according to claim 6, characterized in that: The staff members are rated based on the number of operational violations and the number of complaint information associations within a preset period. The specific process is as follows: The number of operational violations and the number of associations between complaint information during the preset period for each staff member are recorded as Q i and W i , where i represents the number of each staff member, i is a positive integer, and the number of times the number of operation violations and the number of times the complaint information received by the mobile terminal is associated are substituted into the work rating model expression: Output the job rating α of worker number i i , where Q′ and W′ represent the standard value of the number of staff member operation violations and the standard value of the number of complaint information associations, respectively, and both Q′ and W′ are set to 0.

8. A food safety visualization management and control system according to claim 7, characterized in that: The supervisory plan for each staff member is formulated based on the rating results. The specific process is as follows: When a staff member is rated as Level 1, it indicates that the staff member's work behavior complies with regulations and there is no need to formulate a supervision plan for the staff member. All Level 1 staff members will be supervised accordingly. When a staff member is rated as Level 2, the system will identify each illegal operation link during the staff member's work based on the traceability results of related complaint information and the specific illegal operations committed by the staff member. These links will be recorded as key monitoring links. When the camera identifies the staff member performing an operation in a key monitoring link, the AI analysis camera and high-definition infrared camera will be activated to conduct key monitoring of the staff member. When the staff member's illegal operation is monitored, an early warning will be issued, and each Level 2 staff member will be supervised accordingly. When a staff member is rated at level three, the staff member will be monitored in real time through AI analysis cameras and high-definition infrared cameras, and the staff member's illegal operations will be identified in real time. When the staff member is identified as violating the operation regulations, an early warning will be issued, and each level three staff member will be supervised accordingly.

9. A food safety visualization management and control system according to claim 8, characterized in that: After the preset time period, staff at all levels will be rated twice. The specific process is as follows: After the rating of each staff member is completed, the number of operational violations and the number of related complaints of each staff member within the preset time period are counted; If a staff member does not receive any related complaint information and the number of kitchen violations within a preset time period, the staff member will be re-rated; If a staff member receives related complaint information within a preset time period and has violated operational regulations, the staff member's original rating will be determined. If the staff member is a level 1 or level 2 staff member, the staff member will be re-rated. If the staff member is a level 3 staff member, the staff member's original rating will be maintained. Each staff member will be rated a second time in the same manner as above.

10. A food safety visual management and control system implemented by the food safety visual management and control system according to any one of claims 1 to 9, characterized in that: include: Step 1: Visualization: The existing cafeteria surveillance cameras are reused and connected to the inspection cloud platform for cloud inspection. This allows for monitoring of all cafeteria staff members. The captured surveillance videos and each staff member's work information are stored on the cloud platform to form a traceability chain. A digital inspection screen is also set up to visualize the work information of each staff member. Step 2: Complaint Management: This is used to collect complaints from school staff about the canteen through the terminal, classify the complaints, and obtain information on food safety complaints, thereby analyzing and obtaining a priority index for each food safety complaint. Step 3: Complaint handling: This is used to prioritize the handling of food-related complaint information and obtain the staff members associated with each food-related complaint opinion, and then handle the staff members associated with each complaint information accordingly; Step 4: Processing feedback: This is used to conduct a second rating of staff at all levels after a preset time period, and visualize the rating results of each staff member within several preset time periods on the digital inspection screen.

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