Self-checking method, device and equipment based on food business information and storage medium

Abstract

The application discloses a self-checking method and device based on food business information, computer equipment and computer readable storage medium, wherein food business information of a user, that is, various data and materials involved in the process of food business activities, is acquired; self-checking content is generated according to the food business information, and the self-checking content, a standard example diagram of the self-checking content and answer options for the self-checking content are displayed; the self-checking content is used for instructing the user to regularly check and evaluate whether each item of management and operation meets the requirements of food-related regulations and internal management systems; diagnosis is performed according to the selection operation of the user on the answer options of the self-checking content, and a food business diagnosis report is generated; the food business diagnosis report is a written report formed after comprehensive checking and evaluation of a food business enterprise. Therefore, the application is beneficial to realizing convenient and rapid self-checking of food business information, thereby reducing food safety hazards.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of food business information, in particular to a self-checking method and device based on food business information, and a computer device and computer readable storage medium thereof. BACKGROUND

[0002] It is very important to check the food business information of catering service units, which not only relates to the health and safety of consumers, but also directly affects the reputation and development of enterprises. At present, the food business information of each catering service unit is mainly checked by providing manual services. However, the manual checking method for a large number of catering service units is not only inefficient, but also has a huge cost. Therefore, how to realize the convenient and rapid self-checking of food business information so as to reduce food safety hazards is a technical problem to be solved at present. SUMMARY

[0003] The present application provides a self-checking method and device based on food business information, and a computer device and computer readable storage medium thereof, which is beneficial to realize the convenient and rapid self-checking of food business information, thereby reducing food safety hazards.

[0004] In a first aspect, the present application provides a self-checking method based on food business information, which comprises:

[0005] When receiving a self-checking instruction triggered by a user, obtaining food business information of the user, wherein the food business information refers to various data and materials involved in the process of food business activities;

[0006] generating self-checking content according to the food business information, and displaying the self-checking content, a standard example graph of the self-checking content and answer options for the self-checking content, wherein the self-checking content is used to instruct the user to regularly check and evaluate whether each management and operation meets the requirements of food-related regulations and internal management system;

[0007] diagnosing according to the selection operation of the user on the answer options of the self-checking content and generating a food business diagnosis report, wherein the food business diagnosis report refers to a written report formed after the comprehensive check and evaluation of the food business enterprise.

[0008] The self-checking method based on food business information, by acquiring food business information of the user, the food business information refers to various data and materials involved in the process of food business activities; then, self-checking content is generated according to the food business information, and the self-checking content, a standard example diagram of the self-checking content and answer options for the self-checking content are displayed, the self-checking content is used to instruct the user to regularly self-check and evaluate whether each management and operation meets the requirements of food-related regulations and internal management system; finally, diagnosis is performed according to the selection operation of the user on the answer options of the self-checking content, and a food business diagnosis report is generated, the food business diagnosis report refers to a written report formed after a comprehensive inspection and evaluation of a food business enterprise.

[0009] Since the self-checking content is automatically generated according to the requirements of food-related regulations and internal management system, the user does not need to acquire and interpret it by himself; in addition, in addition to generating the self-checking content, a standard example diagram of the self-checking content and answer options for the self-checking content are also provided, the user can select the answer options according to the prompt of the standard example diagram of the self-checking content, the graphical method is more intuitive and has stronger guidance, and it is more convenient to select the answer options without interpreting the professional related files by himself; finally, the food business diagnosis report is generated according to the selection operation of the user on the answer options of the self-checking content, the operation is automatic, and more human resources are not needed, which is more convenient and fast for self-checking, and the efficiency is higher for a large number of food business information inspection applications, and the subsequent further rectification according to the food business diagnosis report is convenient, so that food safety hazards can be reduced.

[0010] In a second aspect, the application also provides a self-checking device based on food business information, the device comprises:

[0011] The business information acquisition unit is configured to acquire food business information of the user when receiving a self-checking instruction triggered by the user, the food business information refers to various data and materials involved in the process of food business activities;

[0012] The content generation and display unit is configured to generate self-checking content according to the food business information, and display the self-checking content, a standard example diagram of the self-checking content and answer options for the self-checking content, the self-checking content is used to instruct the user to regularly self-check and evaluate whether each management and operation meets the requirements of food-related regulations and internal management system;

[0013] The diagnosis report generation unit is configured to perform diagnosis according to the selection operation of the user on the answer options of the self-checking content, and generate a food business diagnosis report, the food business diagnosis report refers to a written report formed after a comprehensive inspection and evaluation of a food business enterprise.

[0014] In a third aspect, the present application provides a computer device, comprising a memory and a processor;

[0015] the memory, configured to store a computer program;

[0016] the processor, configured to execute the computer program and realize the self-checking method based on food business information as described above when executing the computer program.

[0017] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, causes the processor to realize the self-checking method based on food business information as described above. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained according to these drawings without creative labor for the catering practitioners.

[0019] Figure 1 is a structural schematic diagram of a computer device provided by an embodiment of the present application;

[0020] Figure 2 is a schematic flow chart of a self-checking method based on food business information provided by an embodiment of the present application;

[0021] Figure 3 is a user interface schematic diagram of a main business format interface provided by an embodiment of the present application;

[0022] Figure 4 is a user interface schematic diagram of a main business format option detail display interface provided by an embodiment of the present application;

[0023] Figure 5 is a user interface schematic diagram of a food business information confirmation interface provided by an embodiment of the present application;

[0024] Figure 6 is a user interface schematic diagram of a verification section interface provided by an embodiment of the present application;

[0025] Figure 7 is a structural schematic diagram of a self-checking device based on food business information provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] With reference to the drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0027] The flowcharts shown in the drawings are only illustrative, and do not necessarily include all the contents and operations / steps, nor are they necessarily executed in the order described. For example, some operations / steps can be further decomposed, combined or partially merged, so the actual execution order may be changed according to the actual situation.

[0028] It should be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, unless otherwise clear from the context, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0029] It should also be understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0030] Please refer to Figure 1 , Figure 1 is a structural schematic diagram of a computer device 100 provided by an embodiment of the present application. The computer device 100 can include a processor 1001 and a memory 1002, wherein the processor 1001 and the memory 1002 can be connected by a bus, which can be an Inter-integrated Circuit (I2C) bus or any applicable bus.

[0031] For example, the computer device 100 can be a server or a terminal. The server can be a standalone server, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and basic cloud computing services such as big data and artificial intelligence platforms. The terminal can be an electronic device such as a smartphone, a tablet computer, a notebook computer, and a desktop computer.

[0032] The memory 1002 can include a storage medium and an internal memory. The storage medium can store an operating system and a computer program. The computer program includes program instructions which, when executed, can cause the processor 1001 to perform the food business information-based self-checking method described in any one of the embodiments.

[0033] The processor 1001 is configured to provide computing and control capabilities to support the operation of the entire computer device 100.

[0034] The processor 1001 can be a central processing unit (CPU). The processor can also be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or the like. The general-purpose processor can be a microprocessor or any conventional processor.

[0035] In one embodiment, the processor 1001 is configured to run a computer program stored in the memory 1002 to perform the following steps:

[0036] Upon receiving a self-checking instruction triggered by the user, the food business information of the user is obtained. The food business information refers to various data and materials involved in the process of food business activities.

[0037] The self-checking content is generated according to the food business information, and the self-checking content, a standard example graph of the self-checking content, and an answer option for the self-checking content are displayed. The self-checking content is used to instruct the user to regularly check and evaluate whether each management and operation meets the requirements of food-related regulations and internal management systems.

[0038] The diagnosis is performed according to the selection operation of the user on the answer option of the self-checking content, and a food business diagnosis report is generated. The food business diagnosis report refers to a written report formed after a comprehensive check and evaluation of a food business enterprise.

[0039] In one embodiment, the food business information includes a main business format, which refers to the type of business or the mode of operation that the enterprise mainly engages in during the operation. When implementing the food business information of the user, the processor 1001 is configured to implement:

[0040] The main industry format interface displays main industry format options, and the main industry format options include a food sales operator option, a catering service operator option, and a centralized dining unit canteen option.

[0041] According to a selection operation of the user on the main industry format option, a corresponding main industry format option detail display interface is entered, and an operating place area blank is displayed in a question inquiry area of the main industry format option detail display interface.

[0042] According to an area input by the user in the operating place area blank, a specific category of the main industry format of the user is determined, and an operating place layout and equipment arrangement example diagram is displayed according to the specific category of the main industry format.

[0043] In one embodiment, the food business information further includes an operating item, the operating item refers to a specific food business scope specified in a business license or a permission document of the enterprise, the main industry format option detail display interface further includes a confirmation option, and the processor 1001 is further configured to implement:

[0044] According to a selection operation of the user on the confirmation option, an operating item confirmation interface is jumped to, the operating item confirmation interface displays a food business question, specific food category text and picture examples for the food business question, and answer options and a return option for the food business question.

[0045] According to a selection operation of the user on the answer option for the food business question, a next food business question is displayed in the operating item confirmation interface, or according to a selection operation of the user on the return option for the food business question, a previous food business question is displayed in the operating item confirmation interface.

[0046] In one embodiment, the processor 1001 is further configured to implement:

[0047] After a selection operation of the user on the answer option for the last food business question, a food business information confirmation interface is jumped to, and a specific category of the main industry format and a specific food business scope determined according to all the food business questions are displayed in the food business information confirmation interface, a confirmation option and a return option for the specific category of the main industry format and the specific food business scope are displayed.

[0048] According to a selection operation of the user on the confirmation option for the specific category of the main industry format and the specific food business scope, the main industry format and the operating item of the user are determined, or according to a selection operation of the user on the return option for the specific category of the main industry format and the specific food business scope, the operating item confirmation interface is jumped to.

[0049] In one embodiment, the processor 1001 is configured to implement the following when implementing the generating self-checking content according to the food business information, and displaying the self-checking content, a standard example diagram of the self-checking content, and answer options for the self-checking content:

[0050] obtaining the food-related regulations and internal management systems, and identifying check items in the food-related regulations and internal management systems that are associated with the food business information;

[0051] generating a plurality of check blocks and self-checking content corresponding to each of the check blocks according to the check items;

[0052] displaying check block options corresponding to the plurality of check items in a check block interface;

[0053] jumping to a self-checking interface corresponding to the check block according to a selection operation of the check block by the user, and displaying self-checking content, a standard example diagram of the self-checking content, and answer options for the self-checking content in the self-checking interface;

[0054] displaying next self-checking content, a standard example diagram of the next self-checking content, and answer options for the next self-checking content according to a selection operation of the answer options for the self-checking content by the user.

[0055] In one embodiment, the check block interface further displays a self-checking completion degree, the self-checking completion degree being determined according to the check blocks that have been completed, and the processor 1001 is configured to implement the following when implementing the diagnosing according to the selection operation of the answer options for the self-checking content by the user and generating a food business diagnosis report:

[0056] when it is determined that all of the plurality of check blocks have been completed according to the self-checking completion degree, diagnosing according to the selection operation of the answer options for the self-checking content corresponding to each of the check blocks by the user and generating a food business diagnosis report.

[0057] In one embodiment, the processor 1001 is further configured to implement the following:

[0058] displaying self-checking results, non-compliance items, and rectification suggestions in a diagnosis report display interface, the self-checking results being used to indicate whether the user meets the requirements of the food-related regulations and internal management systems, the non-compliance items being check items that are found in the self-checking process and do not meet the food-related regulations and internal management systems, and the rectification suggestions including problems of the check items that do not meet the food-related regulations and internal management systems and rectification examples.

[0059] Some embodiments of the present application will be described in detail below with reference to the drawings. The following embodiments and features in the embodiments can be combined with each other without conflict. Please refer toFigure 2 , Figure 2 is a schematic flowchart of a self-checking method based on food business information provided by the embodiment of the present application. As shown in Figure 2 , the self-checking method based on food business information can include steps S101 to S103.

[0060] Step S101, upon receiving a self-checking instruction triggered by a user, obtaining food business information of the user, wherein the food business information refers to various data and materials involved in the process of food business activities.

[0061] It should be noted that the food business information can be obtained directly or indirectly. Directly obtaining refers to identifying according to the unique identification information provided by the user, which can be directly input by the user or identified through uploaded certificates. Indirectly obtaining refers to determining through intelligent questioning with the user. When directly obtaining, further verification can be performed through networking to further confirm the correctness of the information. Indirectly obtaining can facilitate the acquisition and authentication of food business information of users who have not handled food business licenses, and reduce the food safety risks caused by unregistered or unlicensed enterprises in the society.

[0062] In some embodiments, the embodiment of the present application provides an indirect method for obtaining food business information of a user, wherein the food business information includes a main business format, and the main business format refers to the type of business or the mode of operation that the enterprise mainly engages in during operation. The method for obtaining food business information of a user includes:

[0063] displaying a main business format option on a main business format interface, wherein the main business format option includes a food sales operator option, a catering service operator option, and a centralized dining unit canteen option;

[0064] entering a corresponding main business format option detail display interface according to a selection operation of the user on the main business format option, and displaying an operating site area blank in a question inquiry area of the main business format option detail display interface;

[0065] determining a specific category of the main business format of the user according to an area input by the user in the operating site area blank, and displaying an operating site layout and equipment arrangement example according to the specific category of the main business format.

[0066] Food retailers are primarily responsible for selling pre-packaged or bulk foods directly to consumers. Their main business types include at least one of the following: wholesalers primarily selling food, supermarkets, convenience stores, specialty stores, stores that also sell food, pharmacies that also sell food, grocery stores, food traders, online food retailers without physical stores, operators using automated equipment to sell food, and headquarters of food retail chains. Catering service operators refer to service providers that offer food and beverages prepared on-site and consumed immediately. Their main business types include at least one of the following: large restaurants, medium-sized restaurants, small restaurants, central kitchens, group meal delivery units, pastry shops, beverage shops, small restaurants, roasted nut shops, non-ready-to-eat food preparation and sales shops, operators using automated equipment to prepare and sell food, headquarters of catering service chains, catering service management companies, and other catering operators. Centralized dining unit canteens typically refer to places established within schools, enterprises, and institutions that provide collective dining services for students or employees. Their main business types specifically include at least one of the following: school canteens, kindergarten canteens, elderly care institution canteens, nursing home canteens, medical institution canteens, postpartum care center canteens, childcare institution canteens, senior citizen canteens, training institution canteens, after-school care institution canteens, government agency and public institution canteens, enterprise canteens, construction site canteens, and other canteens.

[0067] The example layout and equipment arrangement of the business premises can dynamically change according to the area entered by the user. If the area falls within the range for small-scale catering, the example layout and equipment arrangement will be for small-scale catering; if it falls within the range for medium-sized catering, the example layout and equipment arrangement will be for medium-sized catering; and if it falls within the range for medium-sized catering, the example layout and equipment arrangement will be for medium-sized catering. By dynamically displaying the example layout and equipment arrangement of the corresponding area in real time, users can easily compare, confirm, and adjust their plans to find a location that suits their actual business, thus improving the accuracy of the food business information.

[0068] like Figure 3 and Figure 4 As shown, Figure 3 This is a user interface diagram of a main business interface provided in an embodiment of this application. Figure 4 This is a user interface diagram of a main business type option details display interface provided in an embodiment of this application.

[0069] In some embodiments, the food business information further includes business items, which refer to the specific food business scope clearly specified by the enterprise in its business license or permit documents. The main business format option details display interface also includes a confirmation option. The method further includes:

[0070] According to the selection operation of the user on the confirmation option, jump to the business item confirmation interface, and the business item confirmation interface displays the food business question, the specific food category text and picture example for the food business question, and the answer option and the return option for the food business question;

[0071] According to the selection operation of the user on the answer option of the food business question, display the next food business question in the business item confirmation interface, or according to the selection operation of the user on the return option of the food business question, display the previous food business question in the business item confirmation interface.

[0072] The food business question may include, for example, "Do you operate hot food?", "Do you operate cold food?", "Do you operate raw food?", "Do you operate self-made drinks?". These questions do not have a specific order, and there may be other similar questions. When asking the food business question, the specific food category text and picture example for the food business question are also provided. For example, if the food business question is "Do you operate hot food?", the specific food category text and picture example for the food business question may be "hot pot", "soup powder noodles", "barbecue", "fried chicken hamburger", "stir-fried dishes", "spicy hot pot", etc.

[0073] Similarly, the business item confirmation interface also includes an answer option and a return option, and the answer option can be "yes" and "no". The answer option facilitates the user to answer the food business question, and the return option facilitates the user to return to view or modify the answer to the previous food business question. This interface also intuitively displays the food business question and its corresponding specific food category text and picture example, so the user does not need to judge the food they operate by professional terms, thereby more quickly and efficiently determining their business items.

[0074] In some embodiments, the method further comprises:

[0075] After the user selects the answer option for the last food business question, jump to the food business information confirmation interface, and display the specific category of the main business format and the specific food business scope determined according to all the food business questions, the confirmation option and the return option for the specific category of the main business format and the specific food business scope in the food business information confirmation interface;

[0076] The user's main business type and business scope are determined based on the user's selection of the confirmation options for the main business type and the specific food business scope, or the user is redirected to the business scope confirmation interface based on the user's selection of the return options for the main business type and the specific food business scope.

[0077] After the user selects their main business type and enters the area of ​​their business premises, the specific category of their main business type can be determined. After the user answers all food business-related questions, their specific food business scope can be determined. Based on the specific category of their main business type and their specific food business scope, the user's main business type and business items can be determined, thus confirming their food business information. In the above embodiment, after confirming the above information, the information determined by the machine is also displayed through a food business information confirmation interface, allowing the user to further verify the correctness of the machine's conclusion. If incorrect, the user can modify it through a return option. This secondary confirmation method further improves the accuracy of obtaining food business information.

[0078] like Figure 5 As shown, Figure 5 This is a user interface diagram of a food business information confirmation interface provided in an embodiment of this application.

[0079] It should be noted that the main business type can be obtained first, followed by the business items; or the business items can be obtained first, followed by the main business type. The above embodiment obtains the main business type first, followed by the business items. Correspondingly, if the business items are obtained first, followed by the main business type, then after the user selects an answer option for the last question regarding food business operations, the user is redirected to the main business type interface; and based on the user's selection of the confirmation option on the main business type option details display interface, the user is redirected to the food business information confirmation interface.

[0080] In some embodiments, before obtaining the user's food business information through the aforementioned indirect methods, the method further includes:

[0081] A welcome screen is displayed, showing a welcome message and a prompt to obtain food business information. The prompt to obtain food business information is used to prompt the user to enter the company's unique identification information, which includes at least one of the following: unified social credit code, business license number, organization code, tax registration number, bank account opening permit number, and company name.

[0082] The system retrieves the company's food business license from the background based on the unique identification information entered by the user.

[0083] If successful, extract the main business type and operating items based on the aforementioned food business license;

[0084] If the acquisition fails, the welcome interface displays a food business information intelligent acquisition option and a license intelligent picture recognition option;

[0085] If the user selects the food business information intelligent acquisition option, the system jumps to the main format interface and acquires the user's food business information in the above-mentioned indirect manner.

[0086] If the user selects the license intelligent picture recognition option, the system prompts the user to upload the food business license and extracts the user's food business information from the uploaded food business license.

[0087] As can be seen, in the embodiments of the present application, before acquiring the user's food business information in an indirect manner, it is determined whether the user's food business information can be acquired in a direct manner, which is more accurate than the food business information acquired in an indirect manner; the direct manner first checks whether the food business license can be directly acquired from the unique identification information of the enterprise, and then acquires the food business license from the unique identification information. It is difficult for the user to carry the food business license, so the user's time for searching for the food business license can be saved, and the work efficiency is improved; when the acquisition fails, the user's food business information is extracted from the uploaded food business license, and the user does not need to manually input the food business information from the food business license, which can also improve the work efficiency.

[0088] In step S102, self-checking content is generated according to the food business information, and the self-checking content, a standard example of the self-checking content, and an answer option for the self-checking content are displayed, the self-checking content is used to instruct the user to regularly check and evaluate whether each management and operation meets the requirements of food-related regulations and internal management systems.

[0089] For example, the internal management system can be an internal management system of an industry or an internal management system of an association.

[0090] The self-checking content includes but is not limited to the following: site selection, site and layout, food processing area, cleaning and sanitation facilities, equipment and tools, food storage, ventilation and lighting, health protection, hand washing and changing clothes, special room, special operation site, food water, and others.

[0091] The answer option can be a binary option such as "yes" or "no", or an input box, which can be used to input text, voice, pictures, or video data.

[0092] In some embodiments, the step of generating self-inspection content based on the food business information and displaying the self-inspection content, a standard example image of the self-inspection content, and answer options for the self-inspection content includes:

[0093] Obtain the food-related regulations and internal management systems, and identify the verification items in the food-related regulations and internal management systems that are associated with the food business information;

[0094] Multiple verification modules and corresponding self-inspection content for each verification module are generated based on the verification items.

[0095] The verification section interface displays multiple verification section options corresponding to the aforementioned verification items;

[0096] Based on the user's selection of the verification section, the user is redirected to the self-check interface corresponding to the verification section, and the self-check interface displays the self-check content, the standard example image of the self-check content, and the answer options for the self-check content.

[0097] Based on the user's selection of the answer options for the self-examination content, the following will be displayed: the next self-examination content, a standard example image of the next self-examination content, and the answer options for the next self-examination content.

[0098] For example, if the inspection item is a dedicated room, a dedicated room section will be generated. This section includes at least one self-inspection item related to the dedicated room, such as whether the dedicated room has open drains, whether the floor drains have water seals, whether the wainscoting is laid to the ceiling, whether it is equipped with an automatically closing dedicated room door, whether it is equipped with an openable food pass-through window, whether it is equipped with independent air conditioning, whether it is equipped with a refrigerator, whether it is equipped with ultraviolet lamps, whether there is a handwashing sink at the entrance, and whether there is a tool and utensil washing sink, etc. Similarly, the display of the above self-inspection items has no fixed order.

[0099] like Figure 6 As shown, Figure 6 This is a user interface diagram of a verification module interface provided in an embodiment of this application.

[0100] Specifically, the step of generating multiple verification modules and self-inspection content corresponding to each verification module based on the verification items includes:

[0101] Multiple verification modules are generated based on the verification items;

[0102] Identify at least one primary keyword for each verification section;

[0103] Multiple input texts are determined based on the texts of multiple food-related regulatory and standard documents and multiple internal management system standard documents. Each input text includes multiple words, and each word has a corresponding word vector.

[0104] Preprocessing the input text to obtain a plurality of second keywords, the preprocessing including but not limited to word segmentation, removing stop words or punctuation, part-of-speech reduction, and word frequency statistics;

[0105] Calculating the association relationship between the at least one first keyword and the plurality of second keywords;

[0106] Determining at least one target keyword from the plurality of second keywords according to the association relationship;

[0107] Determining a plurality of associated sentences according to the at least one target keyword, each of the associated sentences including part of the at least one keyword;

[0108] Determining the associated sentences as the self-check content corresponding to the verification section.

[0109] Specifically, the self-check interface displays the self-check content, including:

[0110] The self-check interface displays the self-check content questions generated according to the self-check content;

[0111] In one embodiment provided in the present application, the self-check interface displays the self-check content questions generated according to the self-check content, including:

[0112] Determining the keywords and non-keywords in the self-check content;

[0113] Deleting the non-keywords in the self-check content and retaining the self-check content with keywords;

[0114] Processing the self-check content with keywords to obtain the simplified self-check content;

[0115] According to the corresponding part-of-speech encoding file, the semantic answer extraction and question generation are performed according to each word in each sentence in the simplified self-check content, to obtain the self-check content questions;

[0116] The self-check interface displays the self-check content questions generated according to the self-check content;

[0117] According to the part-of-speech classification and coding, each type of keyword is coded by a letter, and the keywords can be divided into: self-check content, self-check object, self-check location, attribute, existence and demonstrative. The above six types of keywords are coded by d, o, l, s, y and the demonstrative itself.

[0118] In another embodiment provided in the present application, the self-check interface displays the self-check content questions generated according to the self-check content, including:

[0119] The self-check content question bank generated according to the self-check content;

[0120] extract a preset number of self-check content questions from the self-check content question bank based on an entropy reduction principle and display the self-check content questions on the self-check interface.

[0121] Specifically, the extracting a preset number of self-check content questions from the self-check content question bank based on an entropy reduction principle and displaying the self-check content questions on the self-check interface comprises:

[0122] extracting a keyword according to the self-check content selected by the user;

[0123] calculating a correlation degree of each self-check content question in the self-check content question bank and the keyword of the self-check content selected by the user, the correlation degree being represented by an entropy value;

[0124] selecting a preset number of self-check content questions from the self-check content question bank in a descending order of entropy values and displaying the self-check content questions one by one on the self-check interface.

[0125] The entropy reduction principle is that the greater the entropy value, the higher the correlation degree, and the smaller the entropy value, the lower the correlation degree. Based on the descending order, a preset number of questions are selected from the self-check content question bank for display, so as to reduce the conditional entropy of the self-check content questions and prevent the displayed self-check content questions from having a low correlation degree, thereby obtaining less useful information and more noise, which affects the correctness.

[0126] In step S103, a diagnosis is performed according to the selection operation of the user on the answer options of the self-check content, and a food business diagnosis report is generated. The food business diagnosis report refers to a written report formed after a comprehensive inspection and evaluation of a food business.

[0127] In some embodiments, the verification panel interface also displays a self-check completion degree, the self-check completion degree being determined according to the completed verification panel, and the diagnosis performed according to the selection operation of the user on the answer options of the self-check content and the generation of the food business diagnosis report comprising:

[0128] When it is determined according to the self-check completion degree that the plurality of verification panels have all completed verification, a diagnosis is performed according to the selection operation of the user on the answer options of the self-check content corresponding to each verification panel and a food business diagnosis report is generated.

[0129] The self-check completion degree can be displayed in the form of a progress bar, in the form of a percentage, in the form of a score, or in other forms, which are not listed here. For example, Figure 6The method is displayed in a fractional manner. Specifically, when it is determined that the plurality of check blocks have been checked according to the self-check completion degree, all progress bars can be displayed, or the score is 1, or the percentage is 100%, and the like.

[0130] In the embodiments of the present application, when it is determined that the plurality of check blocks have been checked according to the self-check completion degree, the diagnosis and the generation of the food business diagnosis report are performed according to the selection operation of the user on the answer option of the self-check content corresponding to each check block, and when there is an unfinished check block, the diagnosis and the generation of the food business diagnosis report are not performed, so as to achieve the purpose of reminding the user to further check, and prevent the generated food business diagnosis report from being incomplete, so as to cause the user to mistakenly think that he has completed all the self-checks, and thus increase the risk of food safety.

[0131] In some embodiments, the self-check completion degree is determined according to the completed check blocks and the unfinished check blocks, the completed check blocks are displayed in a first color, the unfinished check blocks are displayed in a second color, and the first color is different from the second color. For example, the first color is a dark color, and the second color is a light color.

[0132] In the embodiments of the present application, the completed check blocks and the unfinished check blocks are displayed by different colors, and the completion can be displayed by the existing check blocks, so that the display area for the completion degree is not needed, thereby achieving the effect of saving the display area. The mobile phone in the current mobile device is the main electronic device for user operation, and the display area of the mobile phone is limited. When there are many check blocks, it is difficult to display them on one interface. If the space occupied by each block is reduced, it will be difficult to observe, which is not conducive to user viewing and operation. At the same time, the different colors for marking can also more directly and obviously remind the user of the unfinished check blocks, and prevent omission.

[0133] In some embodiments, the self-check result, the non-compliance items, and the rectification suggestions are displayed on the diagnosis report display interface. The self-check result is used to indicate whether the user meets the requirements of the food-related regulations and the internal management system. The non-compliance items refer to the check items that do not meet the food-related regulations and the internal management system found in the self-check process. The rectification suggestions include the problems of the check items that do not meet the food-related regulations and the internal management system and the rectification examples.

[0134] The self-check result can be "not in compliance with the license requirements according to this self-check" or "in compliance with the license requirements according to this self-check"; the non-compliance items can be listed in the order of the self-check and the problems existing in the non-compliance verification items can be pointed out; the problems existing in the rectification suggestions can be marked in the actual operation map uploaded by the user, the rectification examples can be generated by artificial intelligence according to the actual operation map uploaded by the user to generate a rectification example map in compliance with the food-related regulations and internal management system, and the areas in the map that were originally non-compliant but are compliant after rectification are marked, and the two are marked with different colors. Thus, the purpose of more intuitively guiding the user to rectify is achieved, rather than simply pointing out the problems.

[0135] In some embodiments, the answer options include binary confirmation options of "yes" and "no" and a selection input box, and the method further comprises:

[0136] When the user's answer option for the self-check content is the "yes" confirmation option, prompting the user to input the actual operation map in the selection input box;

[0137] Receiving the actual operation map uploaded by the user for the standard example map of the self-check content, the actual operation map being a real picture or chart taken or drawn by the user in the actual operation process;

[0138] The diagnosis and generation of the food business diagnosis report according to the user's selection operation on the answer options of the self-check content comprises:

[0139] Diagnosis and generation of a food business diagnosis report according to the actual operation map, the food business diagnosis report being a written report formed after a comprehensive inspection and evaluation of a food business.

[0140] Specifically, the diagnosis according to the actual operation map comprises:

[0141] Obtaining the actual operation map of the user for the current self-check content, and identifying the target area corresponding to the current self-check content using an image recognition algorithm;

[0142] Determining whether the current self-check content complies with the license requirements according to the target area corresponding to the current self-check content, and giving a first confidence level of whether the current self-check content complies with the license requirements;

[0143] When the first confidence level is lower than a preset threshold, obtaining the actual operation map of other self-check content in the verification item corresponding to the current self-check content;

[0144] Identifying the target area corresponding to the current self-check content according to the actual operation map of the other self-check content;

[0145] According to the target area corresponding to the current self-checking content identified in the actual operation map of other self-checking content, it is determined whether the current self-checking content meets the permission requirement, and a second confidence is given;

[0146] According to the first confidence and the second confidence, it is determined whether the current self-checking content meets the permission requirement.

[0147] According to the first confidence and the second confidence, it is determined whether the current self-checking content meets the permission requirement. The first confidence can be given a greater weight, and the second confidence can be given a relatively smaller weight, because the first confidence is more accurate because the actual operation map uploaded by the user according to the current checking content. The second confidence is more reliable because the first confidence is too low due to the poor quality of the actual operation map uploaded by the user according to the current checking content, which leads to the introduction of the second confidence.

[0148] The embodiment of the present application can determine whether the current checking content meets the permission requirement by introducing the actual operation map uploaded by other checking content when the actual operation map corresponding to the current checking content cannot determine whether the current checking content meets the permission requirement. The user does not need to upload the actual operation map corresponding to the current checking content again, thereby achieving the purpose of improving the self-checking efficiency of the user. It should be noted that the method of the present application embodiment cannot be used as a reference for other secondary identification, because the current identification is mainly for single target identification, and there is no associated photo before and after the identification. The method of the present application is derived from the limitation of the special scene of the present application embodiment, thereby reducing the re-uploading of the picture. Other identifications can only upload multiple photos for the same identification target. The present application can achieve multiple identifications by uploading one photo for the same identification target.

[0149] In order to better illustrate the effect of the present application embodiment, the current self-checking content is taken as a wall skirt as an example. When the current self-checking content is whether the wall skirt is laid to the top, the actual operation map uploaded by the user when checking the content of whether the entrance is equipped with a hand washing pool and whether it is equipped with a tool cleaning pool can at least partially reflect whether the wall skirt is laid to the top. Therefore, when the actual operation map uploaded by the user when checking the content of whether the wall skirt is laid to the top cannot determine whether the self-checking content meets the requirement, the actual operation map uploaded by the user when checking the content of whether the entrance is equipped with a hand washing pool and whether it is equipped with a tool cleaning pool is further used to determine whether the self-checking content meets the requirement, thereby achieving the purpose of diagnosis.

[0150] Further, the method further comprises:

[0151] generate a rectification suggestion based on the preset strategy generation model and one or both of the actual operation graph and the answer option of the user for the self-check content, so that the user rectifies the error in the actual operation graph based on the rectification suggestion.

[0152] Further, before the generating a rectification suggestion based on the preset strategy generation model and one or both of the actual operation graph and the answer option of the user for the self-check content, the method further comprises:

[0153] initializing model parameters of each network layer in an initial random deep network model, and generating a survival probability parameter of each network layer based on a preset rule;

[0154] determining a target network layer and an optimization network layer in each network layer based on the survival probability parameter of each network layer, the target network layer being a network layer to be trained, and the optimization network layer being a network layer to be skipped in training;

[0155] based on a preset training sample set and initial model parameters, skipping the optimization network layer and training the target network layer until a preset convergence condition is reached, to obtain the strategy generation model.

[0156] Specifically, the determining a target network layer and an optimization network layer in each network layer based on the survival probability parameter of each network layer comprises:

[0157] obtaining any value in a preset numerical range as a random parameter of a network layer;

[0158] comparing the survival probability parameter of each network layer with its corresponding random parameter;

[0159] based on the comparison result of each network layer, determining the network layer whose survival probability parameter is not less than the random parameter as the target network layer, and determining the network layer whose survival probability parameter is less than the random parameter as the optimization network layer.

[0160] wherein the survival probability can be set as:

[0161]

[0162] wherein, is the current network layer, is the total number of network layers, is the survival probability of the output layer of the last round, and the initial value of the first round is generally low, such as less than 50%.

[0163] By the above manner, the random depth mechanism is provided based on the survival probability of each network layer, the random depth mechanism can randomly skip part of network layers in the training process, the calculation amount of forward and backward propagation in the model training is reduced, so that the calculation complexity in the model training is reduced, and only part of network layers are used in each training, so that the training time is significantly shortened, the convergence of the model is ensured, the model overfitting is prevented, and the robustness of the model to abnormal data and noise data is enhanced.

[0164] Please refer to Figure 7 , Figure 7 is a structural schematic diagram of a self-check device 200 based on food business information provided by the embodiment of the application. The device comprises:

[0165] The business information acquisition unit 210 is configured to acquire the food business information of the user when receiving the self-check instruction triggered by the user, wherein the food business information refers to various data and materials involved in the food business process.

[0166] The content generation and display unit 220 is configured to generate self-check content according to the food business information, and display the self-check content, a standard example diagram of the self-check content, and answer options for the self-check content, wherein the self-check content is used to instruct the user to regularly check and evaluate whether each management and operation meets the requirements of food-related regulations and internal management systems.

[0167] The diagnosis report generation unit 230 is configured to diagnose and generate a food business diagnosis report according to the selection operation of the user on the answer options of the self-check content, wherein the food business diagnosis report refers to a written report formed after the comprehensive inspection and evaluation of the food business enterprise.

[0168] In one embodiment, the food business information comprises a main business format, wherein the main business format refers to the business type or operation mode mainly engaged in by the enterprise in the operation process, and when acquiring the food business information of the user, the business information acquisition unit 210 is specifically configured to:

[0169] display a main business format option on the main business format interface, wherein the main business format option comprises a food sales operator option, a catering service operator option, and a centralized dining unit canteen option.

[0170] According to the selection operation of the user on the main business format option, enter the corresponding main business format option detail display interface, and display an operating place area blank in the question inquiry area of the main business format option detail display interface.

[0171] According to the area filled in by the user, the specific type of the main business format of the user is determined, and a layout and equipment arrangement example diagram of the business place is displayed according to the specific type of the main business format.

[0172] In one embodiment, the food business information further includes a business item, the business item refers to the specific food business scope specified in the business license or license document of the enterprise, and the main business format option detail display interface further includes a confirmation option, and the business information acquisition unit 210 is further specifically used for:

[0173] According to the selection operation of the user on the confirmation option, the business item confirmation interface is jumped to, the business item confirmation interface displays a food business question, a specific food type text and picture example for the food business question, and an answer option and a return option for the food business question;

[0174] According to the selection operation of the user on the answer option of the food business question, the next food business question is displayed on the business item confirmation interface, or according to the selection operation of the user on the return option of the food business question, the previous food business question is displayed on the business item confirmation interface.

[0175] In one embodiment, the business information acquisition unit 210 is further specifically used for:

[0176] After the user selects the answer option of the last food business question, the food business information confirmation interface is jumped to, and the main business format specific category and the specific food business scope determined according to all the food business questions are displayed on the food business information confirmation interface, a confirmation option and a return option for the main business format specific category and the specific food business scope are displayed on the food business information confirmation interface;

[0177] According to the selection operation of the user on the confirmation option of the main business format specific category and the specific food business scope, the main business format and the business item of the user are determined, or according to the selection operation of the user on the return option of the main business format specific category and the specific food business scope, the business item confirmation interface is jumped to.

[0178] In one embodiment, when the self-check content is generated according to the food business information and the self-check content, a standard example diagram of the self-check content and an answer option for the self-check content are displayed, the content generation and display unit 220 is specifically used for:

[0179] The food-related regulations and internal management systems are acquired, and the verification items in the food-related regulations and internal management systems associated with the food business information are identified;

[0180] generate a plurality of check blocks according to the check items, and self-check content corresponding to each of the check blocks;

[0181] display a plurality of check block options corresponding to the check items on the check block interface;

[0182] jump to a self-check interface corresponding to the check block according to a selection operation of the user on the check block, and display self-check content, a standard example diagram of the self-check content, and answer options for the self-check content on the self-check interface;

[0183] display next self-check content, a standard example diagram of the next self-check content, and answer options for the next self-check content according to a selection operation of the user on the answer options for the self-check content.

[0184] In one embodiment, the check block interface further displays a self-check completion degree, the self-check completion degree being determined according to the check blocks that have been completed, and when diagnosing and generating a food business diagnosis report according to the selection operation of the user on the answer options for the self-check content, the diagnosis report generation unit 230 is specifically configured to:

[0185] when it is determined according to the self-check completion degree that all of the check blocks have been checked, diagnose and generate a food business diagnosis report according to a selection operation of the user on the answer options for the self-check content corresponding to each of the check blocks.

[0186] In one embodiment, the apparatus further includes:

[0187] a diagnosis report display unit 240 configured to display self-check results, non-compliance items, and rectification suggestions on a diagnosis report display interface, the self-check results being used to indicate whether the user meets the requirements of the food-related regulations and internal management system, the non-compliance items being check items that do not meet the food-related regulations and internal management system and are found in the self-check process, and the rectification suggestions including problems of the check items that do not meet the food-related regulations and internal management system and rectification examples.

[0188] The specific implementation of each operation can be referred to the foregoing embodiments, which will not be described here again.

[0189] In an embodiment of the present application, a computer readable storage medium is also provided, the computer readable storage medium storing a computer program, the computer program including program instructions, and a processor executing the program instructions to implement any one of the self-check methods based on food business information provided by the embodiments of the present application. For example, the computer program is loaded by the processor, and the following steps can be executed:

[0190] obtain food business information of a user, the food business information being various data and materials involved in a food business activity process;

[0191] According to the food business information, self-checking content is generated and the self-checking content, a standard example diagram of the self-checking content and an answer option for the self-checking content are displayed, the self-checking content is used to indicate that the user regularly checks and evaluates whether each management and operation meets the requirements of food-related regulations and internal management systems;

[0192] According to the selection operation of the user on the answer option of the self-checking content, diagnosis is performed and a food business diagnosis report is generated, the food business diagnosis report is a written report formed after the food business enterprise is comprehensively checked and evaluated.

[0193] The specific implementation of each operation can be referred to the foregoing embodiments, which will not be described here.

[0194] The computer readable storage medium can be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. The computer readable storage medium can also be an external storage device of the computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD), a flash card, etc.

[0195] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed in the present application, and these modifications or replacements should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A self-inspection method based on food business information, characterized in that, The method includes: Upon receiving a self-check instruction triggered by a user, the system acquires the user's food business information, which refers to various data and materials involved in the food business activities. The self-inspection content is generated based on the food business information, and the self-inspection content, standard example diagram of the self-inspection content, and answer options for the self-inspection content are displayed. The self-inspection content is used to instruct users to regularly check and evaluate whether various management and operations comply with the requirements of food-related regulations and internal management systems. The answer options include binary confirmation options of "yes" and "no" and selection input boxes. When the user answers the self-inspection question with "yes", the user is prompted to enter the actual operating diagram in the selection input box. Receive actual business images uploaded by users in response to the standard example images of the self-inspection content. The actual business images refer to real pictures or charts taken or drawn by users during actual business operations. Obtain the user's actual operating map for the current self-inspection content, and use image recognition algorithms to identify the target area corresponding to the current self-inspection content; Based on the target area corresponding to the current self-inspection content, determine whether the current self-inspection content meets the licensing requirements, and give the first confidence level of whether the current self-inspection content meets the licensing requirements; When the first confidence level is lower than the preset threshold, obtain the actual operation diagram of other self-inspection contents in the verification items corresponding to the current self-inspection content; Identify the target area corresponding to the current self-inspection content based on the actual operating diagram of other self-inspection items; Based on the target area corresponding to the current self-inspection content identified in the actual operation map of other self-inspection content, determine whether the current self-inspection content meets the licensing requirements and give a second confidence level; Based on the first confidence level and the second confidence level, determine whether the current self-inspection content meets the licensing requirements and generate a food business diagnostic report. The food business diagnostic report refers to a written report formed after a comprehensive inspection and evaluation of the food business enterprise. The model parameters of each network layer in the initial stochastic deep network model are initialized, and the survival probability parameters of each network layer are generated based on preset rules. The formula for calculating the survival probability is as follows: in, L represents the current network layer, and L represents the total number of network layers. This represents the survival probability of the previous output layer. Based on the survival probability parameters of each network layer, a target network layer and an optimized network layer are determined in each network layer. The target network layer is the network layer to be trained, and the optimized network layer is the network layer that needs to be skipped during training. Based on a preset training sample set and initial model parameters, the optimization network layer is skipped, and the target network layer is trained until the preset convergence condition is met to obtain the policy generation model. The actual operating diagram and / or the user's answer options for the self-inspection content are input into the strategy generation model to generate rectification suggestions, so that the user can rectify the errors in the actual operating diagram based on the rectification suggestions.

2. The self-inspection method based on food business information according to claim 1, characterized in that, The food business information includes the main business type, which refers to the main type of business or operating model that the enterprise mainly engages in during its operation. Obtaining the user's food business information includes: The main business type interface displays the main business type options, which include food sales operators, catering service operators, and centralized dining unit canteens. Based on the user's selection of the main business type option, the user will enter the corresponding main business type option details display interface, and the business premises area will be filled in the question area of ​​the main business type option details display interface; The system determines the user's main business type based on the area entered by the user in the blanks, and displays example diagrams of the business layout and equipment arrangement based on the main business type.

3. The self-inspection method based on food business information according to claim 2, characterized in that, The food business information also includes business items, which refer to the specific food business scope clearly stipulated in the enterprise's business license or permit documents. The main business format option details display interface also includes a confirmation option. The method also includes: Based on the user's selection of the confirmation option, the user is redirected to the business item confirmation interface, which displays food business questions, text and image examples of specific food types for the food business questions, and answer options and return options for the food business questions. Based on the user's selection of the answer option for the food business question, the next food business question will be displayed on the business item confirmation interface; or, based on the user's selection of the return option for the food business question, the previous food business question will be displayed on the business item confirmation interface.

4. The self-inspection method based on food business information according to claim 3, characterized in that, The method further includes: After the user selects an answer to the last question about food business operations, the user is redirected to a food business information confirmation interface. This interface displays the main business type, the specific food business scope determined based on all the questions about food business operations, confirmation options for the main business type, the specific food business scope, and a return option. The user's main business type and business scope are determined based on the user's selection of the confirmation options for the main business type and the specific food business scope, or the user is redirected to the business scope confirmation interface based on the user's selection of the return options for the main business type and the specific food business scope.

5. The self-inspection method based on food business information according to any one of claims 1-4, characterized in that, The process of generating self-inspection content based on the food business information and displaying the self-inspection content, a standard example image of the self-inspection content, and answer options for the self-inspection content includes: Obtain the food-related regulations and internal management systems, and identify the verification items in the food-related regulations and internal management systems that are associated with the food business information; Multiple verification modules and corresponding self-inspection content for each verification module are generated based on the verification items. The verification section interface displays multiple verification section options corresponding to the aforementioned verification items; Based on the user's selection of the verification section, the user is redirected to the self-check interface corresponding to the verification section, and the self-check interface displays the self-check content, the standard example image of the self-check content, and the answer options for the self-check content. Based on the user's selection of the answer options for the self-examination content, the following will be displayed: the next self-examination content, a standard example image of the next self-examination content, and the answer options for the next self-examination content.

6. The self-inspection method based on food business information according to claim 5, characterized in that, The verification section interface also displays the self-inspection completion rate, which is determined based on the completed verification sections. The self-inspection method further includes: When it is determined that all of the verification modules have been verified based on the self-inspection completion rate, a diagnosis is performed and a food business diagnosis report is generated based on the user's selection of the answer options for the self-inspection content corresponding to each verification module.

7. The self-inspection method based on food business information according to claim 1, characterized in that, The method further includes: The diagnostic report display interface shows the self-inspection results, non-compliance items, and rectification suggestions. The self-inspection results are used to indicate whether the user complies with the requirements of the relevant food regulations and internal management system. The non-compliance items refer to the verification items found during the self-inspection process that do not meet the requirements of the relevant food regulations and internal management system. The rectification suggestions include the problems and rectification examples of the verification items that do not meet the requirements of the relevant food regulations and internal management system.

8. A self-inspection device based on food business information, characterized in that, The device includes: The business information acquisition unit is used to acquire the user's food business information when it receives a self-inspection instruction triggered by the user. The food business information refers to various data and materials involved in the food business activities. The content generation and display unit is used to generate self-inspection content based on the food business information and to display the self-inspection content, a standard example diagram of the self-inspection content, and answer options for the self-inspection content. The self-inspection content is used to instruct users to regularly check and evaluate whether various management and operations comply with the requirements of food-related regulations and internal management systems. The answer options include binary confirmation options of "yes" and "no" and a selection input box. The diagnostic report generation unit is used to prompt the user to enter the actual operating diagram in the selection input box when the user answers the self-inspection content with the "yes" confirmation option; Receive actual business images uploaded by users in response to the standard example images of the self-inspection content. The actual business images refer to real pictures or charts taken or drawn by users during actual business operations. Obtain the user's actual operating map for the current self-inspection content, and use image recognition algorithms to identify the target area corresponding to the current self-inspection content; Based on the target area corresponding to the current self-inspection content, determine whether the current self-inspection content meets the licensing requirements, and give the first confidence level of whether the current self-inspection content meets the licensing requirements; When the first confidence level is lower than the preset threshold, obtain the actual operation diagram of other self-inspection contents in the verification items corresponding to the current self-inspection content; Identify the target area corresponding to the current self-inspection content based on the actual operating diagram of other self-inspection items; Based on the target area corresponding to the current self-inspection content identified in the actual operation map of other self-inspection content, determine whether the current self-inspection content meets the licensing requirements and give a second confidence level; Based on the first confidence level and the second confidence level, determine whether the current self-inspection content meets the licensing requirements and generate a food business diagnostic report. The food business diagnostic report refers to a written report formed after a comprehensive inspection and evaluation of the food business enterprise. The model parameters of each network layer in the initial stochastic deep network model are initialized, and the survival probability parameters of each network layer are generated based on preset rules. The formula for calculating the survival probability is as follows: in, For the current network layer, The total number of network layers. This represents the survival probability of the previous output layer. Based on the survival probability parameters of each network layer, a target network layer and an optimized network layer are determined in each network layer. The target network layer is the network layer to be trained, and the optimized network layer is the network layer that needs to be skipped during training. Based on a preset training sample set and initial model parameters, the optimization network layer is skipped, and the target network layer is trained until the preset convergence condition is met to obtain the policy generation model. The actual operating diagram and / or the user's answer options for the self-inspection content are input into the strategy generation model to generate rectification suggestions, so that the user can rectify the errors in the actual operating diagram based on the rectification suggestions.

9. A computer device, characterized in that, The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is configured to execute the computer program and, in executing the computer program, implement the self-inspection method based on food business information as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the self-inspection method based on food business information as described in any one of claims 1 to 7.

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