CN112071399A

CN112071399A - Packaged food selection implementation method, terminal equipment and computer-readable storage medium

Info

Publication number: CN112071399A
Application number: CN202010388802.XA
Authority: CN
Inventors: 袁也; 叶树茂; 蒋欣茵
Original assignee: Hexon Digital Health Technology Shenzhen Co ltd
Current assignee: Hexon Digital Health Technology Shenzhen Co ltd
Priority date: 2020-05-09
Filing date: 2020-05-09
Publication date: 2020-12-11

Abstract

The application discloses a packaged food selection implementation method, terminal equipment and a computer readable storage medium, wherein the method comprises the following steps: responding to a packaged food viewing request sent by a user terminal, sending packaged food information to the user terminal so as to instruct the user terminal to display the food quality index information of the packaged food; the method comprises the steps of obtaining a packaged food selection instruction sent by a user terminal, responding to the packaged food selection instruction, generating prompt information according to food quality index information, and sending first prompt information to the user terminal to indicate the user terminal to display the first prompt information, wherein the first prompt information comprises at least one of the following items: first action guide information and first alternative packaged food recommendation information. The method and the device help the user to select the packaged food which is personalized and beneficial to health management through the food quality index information.

Description

Packaged food selection implementation method, terminal equipment and computer-readable storage medium

Technical Field

The application belongs to the technical field of digital health, and particularly relates to a packaged food selection implementation method, terminal equipment and a computer readable storage medium.

Background

The spread of chronic diseases has created a serious social and medical burden. Poor eating habits are the main risk factors for the normal physiological dysfunction of human body and further diseases, such as obesity, hypertension, hyperglycemia, hyperlipidemia, diabetes, cancer and other chronic diseases. However, the ability to develop good eating habits depends largely on the ability of a person to select foods that are beneficial to their health needs.

The packaged food in the market generally has health hidden troubles. For consumers, especially for people who are at risk of disease, selecting packaged foods by considering only mouthfeel is likely to neglect the health threat of certain ingredients contained in the packaged foods. In the face of various and complicated packaged foods in the market, most consumers lack the nutrition knowledge base, are difficult to read and understand the nutrition label information on the packaged foods, and cannot select beneficial packaged foods according to the self health condition.

In addition, since the domestic outsourcing generally lacks clear health guide information, it is more difficult to identify healthy foods suitable for the consumer who has special health appeal.

Therefore, how to provide a set of scientific, systematic and definite guiding method to help users to select the packaged food beneficial to personal health simply and conveniently according to their health needs is a problem to be solved urgently at present.

Disclosure of Invention

The embodiment of the application provides a packaged food selection implementation method, terminal equipment and a computer readable storage medium, so as to solve the problem that in the prior art, a user is difficult to select packaged food according to self health needs.

In a first aspect, an embodiment of the present application provides a method for selecting a packaged food, including:

acquiring a packaged food viewing request sent by a user terminal;

in response to the packaged food viewing request, transmitting packaged food information to the user terminal to instruct the user terminal to display the packaged food information, wherein the packaged food information comprises food quality index information of packaged food;

the method comprises the steps of obtaining a packaged food selection instruction sent by a user terminal, responding to the packaged food selection instruction, generating first prompt information according to food quality index information of packaged food, sending the first prompt information to the user terminal, and indicating the user terminal to display the first prompt information, wherein the first prompt information comprises at least one of the following items: first action guide information and first alternative packaged food recommendation information.

In some possible implementation manners of the first aspect, the request for viewing the packaged food includes a request for viewing the packaged food generated after the information acquisition device scans the packaged food, or a request for viewing the packaged food generated by a user operating a user terminal through a mouse or a touch screen.

In some possible implementations of the first aspect, the food quality index information comprises at least one of: food quality index FQI score, food quality rating FQL rating, and FQL rating.

In some possible implementations of the first aspect, the visualization pattern corresponding to the FQL rating comprises a packaged food health quality rating warning indicator FQLL;

the food quality index information comprises food quality index information under at least one health scene, and each health scene corresponds to one piece of food quality index information.

In some possible implementations of the first aspect, the first reminder information includes first alternative packaged food recommendation information;

generating first prompt information according to the food quality index information of the packaged food, wherein the first prompt information comprises:

determining target packaged food which accords with the current health scene of a user;

screening out target packaged food to be recommended, of which the FQI score or FQL grade is larger than a first preset threshold value, from the target packaged food according to the FQI score or FQL grade of the packaged food;

and generating the first replaceable packaged food recommendation information according to the information of the target packaged food to be recommended.

In some possible implementations of the first aspect, the first hint information includes first movement guidance information for directing a user to select a packaged food item, the first movement guidance information including information indicating whether the user-selected packaged food item meets a user's health needs and first psychological direction hint information;

if the FQI score or the FQL grade of the packaged food selected by the user is larger than a first preset threshold value, generating the first action guide information according to a preset first prompting expression;

and if the FQI score or the FQL grade of the packaged food selected by the user is smaller than a first preset threshold value, generating the first action guide information according to a preset second prompting expression.

In some possible implementations of the first aspect, after obtaining the packaged food selection instruction sent by the user terminal, the method further includes:

calculating a food quality index (DQI) score of the user according to food plan information of the user, wherein the food plan information comprises packaged food and other foods selected by the user, and the other foods comprise single food, single food material, dishes and a menu;

and generating second prompt information according to the DQI score, and pushing the second prompt information to the user terminal to instruct the user terminal to display the second prompt information, wherein the second prompt information comprises second action guide information and/or second replaceable packaged food recommendation information.

In some possible implementation manners of the first aspect, generating second prompt information according to the DQI score includes:

generating second prompt information according to the DQI score, wherein the second prompt information comprises:

if the DQI score is smaller than a preset target score threshold value, determining that the diet plan containing the packaged food selected by the user does not meet the health requirement of the user, generating information for indicating that the diet plan containing the packaged food selected by the user does not meet the health requirement of the user, generating second psychological guidance hint information, and obtaining second action guidance information according to the information for indicating that the diet plan containing the packaged food selected by the user does not meet the health requirement of the user and the second psychological guidance hint information;

if the DQI score is larger than or equal to a preset target score threshold value, determining that the diet plan containing the packaged food selected by the user meets the health requirement of the user, generating information for indicating that the diet plan containing the packaged food selected by the user meets the health requirement of the user, generating third psychological guidance hint information, and obtaining second action guidance information according to the information for indicating that the diet plan containing the packaged food selected by the user meets the health requirement of the user and the third psychological guidance hint information;

and/or

Determining a second alternative food based on said DQI score;

generating the second replaceable packaged food recommendation information and/or packaged food collocation recommendation information according to the second replaceable food information

In some possible implementations of the first aspect, calculating a diet quality index, DQI, score for the user based on the diet plan information of the user comprises:

determining an actual intake of a diet quality assessment entry from the diet information, the diet quality assessment entry including at least one of the food group, a target nutrient, and energy, the diet plan information including a food name and an intake;

calculating a single score corresponding to each diet quality evaluation item according to the actual intake of the diet quality evaluation item based on the preset diet quality evaluation item calculation standard;

obtaining the DQI score of the user according to the single score corresponding to each diet quality evaluation item;

wherein determining the actual intake of a diet quality assessment item based on the diet information comprises at least one of:

according to the diet information, food is measured in groups to obtain different food groups and corresponding actual intake;

calculating the actual nutrient intake of the user according to the diet information;

and calculating the actual energy intake of the user according to the diet information.

In some possible implementations of the first aspect, sending the packaged food information to the user terminal includes:

determining at least one of a visual pattern corresponding to the FQI score, FQL rating and FQL rating of the packaged food item;

and generating packaged food information according to at least one of the visual patterns corresponding to the FQI score, the FQL grade and the FQL grade of the packaged food, and transmitting the packaged food information to the user terminal.

In some possible implementations of the first aspect, determining the FQI score of the packaged food product comprises:

obtaining an evaluation index parameter contained in unit weight or unit serving of packaged food, wherein the evaluation index parameter comprises at least one of nutrient weight, total energy, glycemic index, glycemic load value, plant nutrient, anti-inflammatory index and advanced glycosylation end product content, and the evaluation index parameter is obtained according to food label information uploaded by a user terminal or is obtained from a pre-constructed food database;

adjusting the numerical value of the condition correction coefficient according to a first preset correction index and a second preset correction index to obtain an adjusted condition correction coefficient, wherein the second preset correction index is an index or a preset fixed numerical value for representing the data distribution rule of the first preset correction index contained in unit weight or unit portion of all food in a food database, and the first preset correction index is one of evaluation index parameters of the packaged food;

and calculating the FQI score of the packaged food according to the adjusted condition correction coefficient, the evaluation index parameter and the weight coefficient corresponding to each evaluation index.

In some possible implementations of the first aspect, the conditional correction coefficient includes a first conditional correction coefficient, a second conditional correction coefficient, and a third conditional correction coefficient, and the second preset correction index includes a first index and a second index;

adjusting the numerical value of the condition correction coefficient according to a first preset correction index and a second preset correction index to obtain an adjusted condition correction coefficient, comprising:

multiplying a first coefficient and the second index to obtain a first product, and adding the first product and the first index to obtain a first numerical value;

multiplying a second coefficient by the second index to obtain a second product, and adding the second product to the first index to obtain a second numerical value;

if the first preset correction index is larger than the first numerical value, setting the numerical value of the second condition correction coefficient as 0;

if the first preset correction index is greater than or equal to the second value and less than or equal to the first value, setting the values of the second conditional correction coefficient and the third conditional correction coefficient to be 0;

and if the first preset correction index is smaller than the second numerical value, setting the numerical value of the third condition correction coefficient to be 0.

In some possible implementations of the first aspect, calculating the FQI score of the packaged food according to the adjusted condition modification coefficient, the evaluation index parameter, and the weighting coefficient corresponding to each evaluation index includes:

determining a weight coefficient of each evaluation index under each health scene;

according to the weight coefficient of each evaluation index in each health scene, multiplying each evaluation index parameter by the corresponding weight coefficient to obtain a third product, and adding the third products corresponding to each evaluation index to obtain a third numerical value of at least one health scene;

for each healthy scene by v ═ N + Y × r₁+(R-C)*r₂+C*r₃Calculating FQI score of the packaged food, wherein v is the FQI score, N is a regulation constant, Y is a third numerical value, R is a preset threshold value of a target evaluation index which is one of the evaluation indexes, C is a target evaluation index parameter of the target food which is one of the evaluation index parameters, R₁For the first condition, the coefficient is corrected, r₂For the second condition, the coefficient is corrected, r₃And correcting the coefficient for the third condition, wherein the FQI score comprises a score value corresponding to at least one healthy scene.

In some possible implementations of the first aspect, after calculating the FQI score of the packaged food item, the method further includes:

determining FQL grade of the packaged food according to the preset association relationship between the FQI score and the FQL grade;

and determining the visual pattern corresponding to the FQL grade of the packaged food according to the preset correspondence between the FQL grade and the visual pattern.

In some possible implementations of the first aspect, the method further comprises:

acquiring the packaged food purchase order information sent by the user terminal,

and initiating a payment request to the user terminal according to the packaged food purchase order information, and sending the packaged food purchase order information to the logistics distribution system after the payment is successful.

In a second aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor, when executing the computer program, implements the method according to any one of the above first aspects.

In a third aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method according to any one of the above first aspects.

In a fourth aspect, embodiments of the present application provide a computer program product, which, when run on a terminal device, causes the terminal device to perform the method of any one of the first aspect.

It is understood that the beneficial effects of the second to fourth aspects can be seen from the description of the first aspect, and are not described herein again.

The embodiment of the application provides a method for realizing selection of packaged food, which comprises the following steps: acquiring a packaged food viewing request of a user terminal; in response to the packaged food viewing request, sending the packaged food information to the user terminal to instruct the user terminal to display the packaged food, wherein the packaged food information comprises packaged food quality index information; the method comprises the steps of obtaining a packaged food selection instruction sent by a user terminal, responding to the packaged food selection instruction, generating prompt information according to packaged food quality indication information, and sending the prompt to the user terminal so as to indicate the user terminal to display the prompt information, wherein the prompt information is used for indicating whether the packaged food selected by the user meets the health requirements of the user. According to the embodiment of the application, the user is helped to select the packaged food reasonably according to the food quality index information, the user is helped to select the packaged food which is beneficial to personal health management simply and conveniently, the user experience is improved, and the problem of selecting the healthy packaged food is solved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic block diagram of an architecture of a packaged food selection implementation system provided in an embodiment of the present application;

FIG. 2 is a schematic block flow diagram of a method for selecting a packaged food item according to an embodiment of the present disclosure;

FIG. 3 is a schematic block flow diagram of a food quality assessment process provided by an embodiment of the present application;

fig. 4 is a schematic diagram illustrating a process of calculating the FQI score of the packaged food provided in the embodiment of the present application;

FIG. 5 is a schematic diagram illustrating the correspondence between FQL levels and visualized patterns provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of an FQLL provided in an embodiment of the present application;

fig. 7 is a schematic block diagram of a flow of a DQI score calculation process provided by an embodiment of the present application;

FIG. 8 is a block diagram schematically illustrating the structure of a device for selecting and implementing packaged food provided in an embodiment of the present application;

fig. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application.

The following first describes a system architecture that may be involved in embodiments of the present application.

Referring to the schematic block diagram of the architecture of the packaged food selection implementation system shown in fig. 1, the system may include a server 11 and a user terminal 12, where the user terminal in fig. 1 may be a mobile phone, a tablet, a computer, or a cash register terminal, and the like, and the type of the user terminal is not limited herein.

The number of user terminals is arbitrary, and generally, a plurality of user terminals exist.

The user terminal can be provided with a corresponding application program, the user can obtain the packaging food selection implementation service provided by the system through the application program, and the packaging food selection implementation service can include but is not limited to health consultation, online dieticians, diet plan recommendation, packaging food selection implementation and purchase and the like. Of course, the packaged food selection realization service provided by the system can also be presented by a public number (e.g. WeChat public number) or an applet (e.g. WeChat applet) or the like. That is to say, if a user needs the packaged food selection implementation service provided by the embodiment of the present application, the platform system provided by the embodiment of the present application may be accessed through a corresponding application program, a public number, an applet, or the like, and through the platform system, the user may communicate with an online dietician, and may also make a diet plan of the user, and make or select a corresponding packaged food.

For example, a user of the user terminal may access a wechat public number or a wechat applet "intensive view" through the user terminal, and obtain a relevant service provided by the platform system on the public number or the applet.

The server can acquire the user operation of the user terminal and provide corresponding service for the user. For example, a diet plan of the user is obtained, and packaged food is recommended for the user; or calculating the weight loss mass index information of the packaged food corresponding to each packaged food in the packaged food, and the like.

After introducing the system architecture that may be referred to in the embodiments of the present application, the following describes in detail the technical solutions provided in the embodiments of the present application.

Referring to fig. 2, a schematic flow diagram of a packaged food selection implementation method, which is particularly applicable to a server, may include the following steps:

step S201, a packaged food viewing request sent by a user terminal is obtained.

The packaged food in the application refers to the packaged food which is provided with a food label and can be directly sold. It will be appreciated that the packaged food product may be a single serving, such as a bag of cookies, which are overwrapped with a food label.

It should be noted that the request for viewing the packaged food may be generated according to an operation of the user. In the specific application, when a user carries out a diet plan or diet assembly, the user needs to add corresponding packaged food into the diet plan, and at the moment, the user can browse a packaged food list and click a certain packaged food to initiate the packaged food viewing request. For example, the user needs to add a corresponding packaged food to the weight management diet plan while performing the weight management diet plan.

Of course, the user may also input the name of the packaged food on the user terminal to search for the corresponding packaged food. At this time, the user terminal may also generate the above-described packaged food viewing request. Or, the user can enter a mall on a packaged food line through the user terminal, click a certain packaged food, and the user terminal generates the packaged food viewing request after obtaining the click operation of the user.

In some special cases, the user may also initiate the above-mentioned request for viewing the packaged food by scanning the food label on the packaged food through the user terminal. For example, in an online supermarket, a user scans a food label of a potato chip through a mobile phone, and after the mobile phone acquires the food label of the potato chip, a packaged food viewing request is generated, wherein the packaged food viewing request carries the food label information of the potato chip.

The packaged food viewing request comprises a packaged food viewing request generated after the packaged food is scanned by the information acquisition equipment or a packaged food viewing request generated by a user operating a user terminal through a mouse or a touch screen.

A user can input a packaged food viewing operation online or offline, and it can be understood that if the user performs the operation online, the user usually uses an information acquisition device such as a scanning gun to identify barcode information such as a one-dimensional code or a two-dimensional code on the packaged food, and sends a packaged food viewing request to a server; or the user operates on line, and sends a packaged food viewing request by using the information acquisition equipment to identify the information on the packaged food; if the user operates on the line, the user generally operates the user terminal through a mouse or a touch screen, and a packaged food viewing request is sent to the server.

Specifically, the packaged food viewing request may be an instruction generated by the user terminal after an operation of entering the packaged food list by the user is obtained. And the user may access the packaged food item list in a variety of ways. For example, a user may enter a list of packaged foods by browsing a library of packaged foods; the packaged food list can be entered by searching the packaged food, for example, if a user searches for 'oatmeal', oatmeal with different specifications sold by different manufacturers can be displayed; or entering a packaged food list in a health scene classification mode; the packaged food list can be entered through the operation of adding the packaged food after the user diet plan is input; or the user can browse the packaged food recommended by the platform system to enter the packaged food list.

Wherein the health profile comprises at least one of blood pressure regulation, cardiovascular and cerebrovascular improvement, diet balance, blood glucose regulation, kidney improvement, muscle enhancement, pregnancy, childhood, bone building, weight management, and anti-inflammatory.

In one possible implementation, the packaged food may be recommended to the user according to the user's food preference or diet plan.

That is, before acquiring the request for viewing the packaged food from the user terminal, the method may further include: according to the packaged food preference or diet plan information of the user, packaged food to be recommended is determined from the packaged food, and the packaged food to be recommended is sent to the user terminal so as to instruct the user terminal to display the packaged food to be recommended.

In specific application, packaged food preference information can be obtained by initiating a questionnaire survey to a user, and the packaged food preference information of the user is obtained according to the questionnaire. The packaged food preference information refers to information indicating a kind of food preferred by a user.

In specific application, the user packaging food preference can be determined according to questionnaire survey, user information and other modes, and the user packaging food preference can be predicted according to user behavior data by collecting user behavior data. Specifically, user behavior data is collected by means of data dotting and the like, and then a pre-constructed user preference prediction model is trained by using the collected user behavior data and user information. And after the training is finished, performing user preference prediction by using the trained user preference prediction model to determine the behavior preference of the user. In this way, for some users who do not fill out questionnaires or user information, the packaged food preferences of those users can still be determined.

The user behavior data may include information such as historical browsing records or purchase records of the packaged food of the user.

In other cases, the packaged food which can achieve a higher Diet Quality Index (DQI) score can also be selected as the packaged food to be recommended according to the user's diet schedule. In one possible implementation, the packaged food preferred by the user is screened out first, and the food similar or similar to the packaged food preferred by the user can also be screened out. Then, according to the FQI score or FQL grade, the packaged food to be recommended is determined. For example, in the packaged food preferred by the user, the top 10 with the highest FQI score or FQL grade is selected as the packaged food to be recommended, so as to help the user select the packaged food.

Through recommending packaged food according to the preference or diet plan of the user, the individual dietary habits and tastes of the user can be considered while the health management goal is guaranteed, so that the user can eat both healthy and delicious foods, and the health mode management which is beneficial to long-term health and sustainability is realized.

Step S202, in response to the request for viewing the packaged Food, sending the packaged Food information to the user terminal to instruct the user terminal to display the packaged Food information, where the packaged Food information includes Food Quality Index information, and the Food Quality Index information includes at least one of a Food Quality Index (FQI) score, a Food Quality Index level (FQL level), and a visual pattern corresponding to FQL levels. The food quality index information comprises food quality index information under at least one health scene, and each health scene corresponds to one piece of food quality index information

The food quality index information can simply and intuitively express the influence of evaluation index parameters such as the nutrient level of the target food on different health scenes of a human body. The food quality index information may include corresponding food quality index information under different health scenarios. For example, food weight loss quality ratings (FQL-for weight loss, FQLWL), food pressure reduction quality ratings (FQL-for blood pressure, FQLBP), food heart protection quality ratings (FQL-for cardiovascular system, FQLCS), food sugar reduction quality ratings (FQL-for blood sugar, FQLSG), food kidney maintenance quality ratings (FQL-for kidney health, FQLKH), food bone health quality ratings (FQL-for bone health, FQLBH), and the like.

It can be understood that the packaged food may have a positive effect on a plurality of health scenes at the same time, and the main health scene of the packaged food may be determined according to the health needs of the user, taking protein powder as an example, for example, the user needs to lose weight, and the weight management is the main health scene, and other health scenes are auxiliary health scenes; if the user needs muscle increasing, the muscle increasing is the main health scene, and other health scenes are auxiliary health scenes.

The food quality index information comprises at least one of visual patterns corresponding to the food quality index FQI score, food quality index grade FQL grade and FQL grade of the main health scene corresponding to the packaged food.

Further, the food quality index information further comprises at least one of visual patterns corresponding to FQI scores, FQL grades and FQL grades of auxiliary health scenes corresponding to the packaged foods.

At this time, the user may make a selection in combination with the food quality index information of the primary health scenario and the secondary health scenario when selecting the packaged food.

It is understood that, in order to achieve better effect, the health quality level warning signs of the main health scene are usually displayed in a more striking manner, and of course, the health quality level warning signs of the main health scene and the auxiliary health scene may also be displayed in the same manner.

In some embodiments, the packaged food itself may already identify the food quality index information, that is, the server calculates the food quality index information corresponding to the packaged food in advance according to the packaged food label or calculates the food quality index information corresponding to the packaged food by using another third party according to the packaged food label, and the food quality index information is already stored in the server. In this way, when the user terminal displays the packaged food, the user terminal displays not only food information such as the name of the packaged food and the picture of the packaged food, but also food quality index information such as visual patterns corresponding to the FQI score, FQL grade, and FQL grade of the packaged food.

In some embodiments, only the packaged food item label is included in the packaged food item, but no identifying food item quality index information. Wherein, the inside of the packaged food label includes information such as nutritional items of the packaged food, for example, the food label corresponding to a noodle can be: name of packaged food: fine dried noodles; the ingredient table is as follows: wheat flour, edible salt and sodium carbonate; nutrient composition table: each 100g contained 1.1g fat, 10.4g protein and 786mg sodium. In this case, after receiving the request for viewing the packaged food, the server calculates the food quality index information corresponding to the packaged food according to the food label of the packaged food, and then sends the food quality index information to the user terminal. Therefore, when the user terminal displays the packaged food, the user can also check the food quality index information corresponding to each packaged food in the packaged food.

That is, in some cases, a user may scan and obtain food label information of a packaged food through a user terminal, transmit the food label information to a server, calculate an FQI score of the packaged food by the server according to the food label information of the packaged food, and determine FQL grades and FQL visual patterns corresponding to the grades according to the FQI score.

If the user operates on line, a packaged food viewing request is sent out by using the information acquisition equipment to identify the information on the packaged food; the information on the packaged food may include food quality index information or a food label, and the packaged food viewing request is responded correspondingly, the food quality index information of the packaged food identified by the user terminal through the information acquisition equipment is received, and then the food quality index information is sent to the user terminal; or responding to the packaged food viewing request, receiving a food label of the packaged food identified by the user terminal through the information acquisition equipment, and then calculating corresponding food quality index information according to the food label.

It should also be noted that the same packaged food product may have different FQI scores, FQL ratings and visual patterns in different health scenarios. Each health scenario corresponds to an FQI score, FQL rating, and visualization pattern. In specific application, the food quality index information of all health scenes can be pushed to the user terminal, and the food quality index information of the health scenes which are consistent with the health scenes of the user can be pushed to the user terminal.

Based on the information such as the visual patterns corresponding to the FQI score, the FQL grade or the FQL grade displayed by the user terminal, the user can intuitively know the influence degree of each packaged food on the health, so that the packaged food meeting the self health requirement is selected for diet matching. For example, a user checks food information at a user terminal, and in combination with food quality index information in the food information, whether the food information meets the health management needs of the user, for example, weight loss is required, food with a high weight loss level (beneficial to weight loss) in the food quality index levels needs to be selected, and if the food information also includes food quality index levels in other health scenes, for example, the sugar reduction level and the like, the user can simultaneously refer to whether the sugar reduction level is too low (not beneficial to reducing blood sugar), and finally select food which is beneficial to achieving the most main weight loss target and has no other side effects on the health of the user.

Step S203, obtaining a packaged food selection instruction sent by a user terminal, responding to the packaged food selection instruction, generating first prompt information according to food quality index information of packaged food, and sending the first prompt information to the user terminal so as to instruct the user terminal to display the first prompt information, wherein the first prompt information comprises at least one of the following items: first action guide information and first alternative packaged food recommendation information.

Specifically, the user can select the packaged food meeting the self requirement according to the food quality index information displayed by the user terminal. After the server obtains the packaged food selected by the user, corresponding feedback information can be provided for the user according to the food quality index information of the packaged food, namely, corresponding prompt information is generated.

If the reminder information includes first alternative packaged food recommendation information, the process of generating the first reminder information from the food quality index information of the packaged food may include the steps of:

the first step is as follows: and determining the target packaged food which accords with the current health scene of the user.

It should be noted that a user may have one or more health scenarios, for example, if the weight of a certain user is out of standard and there is diabetes, the health scenarios of the user are a weight management scenario and a blood sugar regulation scenario. Firstly, screening out target packaged food which accords with the current health scene of a user, for example, screening out target packaged food which is beneficial to a blood sugar stability maintaining scene.

After the user selects the packaged food, other alternative packaged foods which are more beneficial to the health scene of the user can be recommended to the user according to the packaged food selected by the user. Specifically, the similar commodities with higher FQL levels or higher FQI scores in the current health scene of the user can be pushed according to the FQL levels or the FQI scores of the packaged foods. For example, if the user's health scenario is anti-inflammatory, the user is recommended alternative foods that are more conducive to anti-inflammation.

The second step is that: and screening out the target packaged food to be recommended with the FQI score or FQL grade larger than a first preset threshold value from the target packaged food according to the FQI score or FQL grade of the packaged food.

The first preset threshold may be set according to actual needs. Generally, the more FQI score or the FQL grade indicates whether the packaged food is beneficial to a health scene. For example, whether weight reduction is advantageous.

The third step: and generating first replaceable packaged food recommendation information according to the information of the target packaged food to be recommended.

In a specific application, information such as one or more of FQL grade, FQI score and visual pattern of the target packaged food to be recommended, and picture and name of the target packaged food to be recommended can be used as the first replaceable packaged food recommendation information.

It is pointed out that，The problem that the user is difficult to select food can be further solved by pushing the replaceable food for the user, and the user can find the packaged food which meets the preference and is more beneficial to the health requirement of the user under the condition of not needing to do excessive thinking comparison FQL.

It should be noted that the first alternative packaged food recommendation information may include, but is not limited to, names of alternative foods, pictures, FQI scores or FQL grades, and visual patterns. The alternative food may be the same as the health scenario of the target food selected by the user, or the same function, or the same category of food. For example, the target food is packaged food, the packaged food selected by the user is bread, if the health scene of the user is a weight management scene, the packaged food beneficial to losing weight of the user is used as replaceable food, and replaceable food prompt information is generated according to the screened related information of the replaceable food. An alternative recommended food is a packaged food.

The problem that the user is difficult to select food can be further solved by pushing the replaceable food recommendation information for the user, and the user can find the packaged food which is favorable for the health requirement of the user under the condition of not needing to do excessive thinking comparison FQL.

If the first guidance information is included in the first guidance information, the process of generating the first guidance information based on the food quality index information of the packaged food may include the steps of: if the FQI score or the FQL grade of the packaged food selected by the user is larger than a first preset threshold value, generating first action guide information according to a preset first prompting expression; and if the FQI score or the FQL grade of the packaged food selected by the user is smaller than a first preset threshold value, generating first action guide information according to a preset second prompting expression.

It should be noted that the first preset threshold may be set according to actual requirements.

The first behavior guide information may refer to information guiding a user to select a behavior. The first behavior guidance information includes information indicating whether the packaged food selected by the user satisfies the user's health needs and first psychological guidance cue information.

For example, the first action guidance information includes psychological intervention cue information such as "do you do well, go ahead". For another example, the information indicating whether the selected packaged food meets the health requirement of the user in the first action guide information is: the packaged food that you choose is not good for your weight reduction needs.

In a specific application, if the FQL grade or the FQI score is greater than or equal to a first preset threshold value, the selection of the user is considered to be correct and is consistent with the health requirement of the user, and prompt information is generated according to the first prompting expression. Conversely, if the FQL rating or FQI score is less than the first predetermined threshold, the user selection is deemed erroneous and contradictory to the user's health needs, and a prompt is generated based on the second category of prompt phrase. The first prompting expression and the second prompting expression are classified in advance according to prompting requirements.

The information for indicating whether the packaged food selected by the user meets the user's health requirement may be embodied as: the food selected by you does not meet the health requirement, or the food selected by you meets the health requirement. For example, the user's health requirement is weight loss, and if the user selects a packaged food product that is not conducive to weight loss, the user is prompted that the selected food product is not conducive to weight loss. And judging whether the packaged food meets the health requirements of the user through the FQI score or FQL grade of the packaged food, if the FQI score or FQL grade of the packaged food is larger than a certain threshold value, the packaged food is considered to meet the health requirements of the user, otherwise, the health requirements of the user are not met.

In other words, if the FQL rating or FQI score is greater than or equal to a first preset threshold, the user's selection is deemed to be correct and the selected packaged food item is compatible with the user's health needs, and a first action guide message is generated based on the first-type prompt phrase.

Conversely, if the FQL rating or FQI score is less than the first predetermined threshold, the user selection is deemed to be incorrect and the selected packaged food item is contrary to the user's health needs, and the first action guide message is generated according to the second category of prompting phrase. The first prompting expression and the second prompting expression are classified in advance according to prompting requirements.

It should be noted that, the above shows that the first prompt information respectively includes prompt information generation schemes corresponding to the first action guide information and the first food recommendation information. If the two types of information are included, the generation manner of the prompt information may be a combination of the generation manners of the corresponding prompt information, which is not described herein again.

In some embodiments, the user may enter the packaged food selection page during the food plan, at which point the DQI score for the food plan may be calculated based on the packaged food selected by the user, and a determination may be made as to whether the selected packaged food meets the user's health needs based on the DQI score.

That is, after acquiring the packaged food selection instruction sent by the user terminal, the method may further include the following steps:

firstly, calculating a food quality index (DQI) score of a user according to food plan information of the user, wherein the food plan information comprises packaged food and other foods selected by the user, and the other foods comprise single food, single food material, dishes and a menu;

at this time, when the user performs a diet plan, one or more packaged foods need to be added to the diet plan. For example, a user may be on a weight loss diet plan and require a certain packaged food to be added to the diet plan program. In this case, after the user selects the packaged food, the server may calculate the degree of influence of the packaged food selected by the user on the diet plan.

Specifically, after the user selects a packaged food, the user's diet plan information is obtained, which includes the food name and the corresponding intake amount. The food plan information includes a packaged food item selected by the user. The DQI score for the diet program was then calculated. The calculation of the DQI score is set forth below.

Then, generating second prompt information according to the DQI score, and pushing the second prompt information to the user terminal to instruct the user terminal to display the second prompt information, wherein the second prompt information comprises at least one of the following items: second action guidance information, second replaceable packaged food recommendation information, and diet collocation plan recommendation information.

The second alternative packaged food recommendation information is used for instructing the user to select food according to the recommended food to obtain modified diet plan information, wherein the DQI score of the modified diet plan information is higher than the DQI score of the diet plan information before modification.

The diet collocation plan recommendation information is used for guiding the user to select packaged food and modify diet plan information by referring to the recommended diet plan information to obtain modified diet plan information, and the DQI score of the recommended diet plan information is higher than the DQI score of the current diet plan information of the user.

In other words, the second replaceable packaged food recommendation information is used for instructing the user to select food according to the recommended food. When the DQI score of the user's current diet plan is too low, food can be recommended to the user, and the recommended food can increase the DQI score of the diet plan, i.e. the user reselects food according to the food recommendation information, resulting in a new diet plan, the DQI score of which is higher than the DQI score of the user's initial diet plan.

In specific application, the alternative food can be screened out based on the purpose of improving the DQI score of the diet collocation scheme, and the screened alternative food is pushed to the user terminal. The replaceable food refers to which packaged food in the current diet collocation scheme of the user can be replaced, and the DQI score of the diet collocation scheme can be higher after replacement. The replaceable food is packaged food.

The meal collocation plan recommendation information is used for guiding the user to select food and modify a meal plan according to the recommended meal plan. Namely, the background system directly generates a diet plan which has a higher DQI score and meets the health requirements of the user, and the diet plan is pushed to the user terminal. The user may perform operations such as adding food, deleting food, or modifying portions based on the recommended dietary plan. The DQI score of the recommended dietary plan is higher than the user's initial dietary plan. And the DQI score of the new diet plan obtained by the user through modification according to the diet plan recommendation information can be higher than the DQI score of the original diet plan of the user.

In specific application, some packaged foods in the current diet collocation scheme of a user can be replaced to obtain the diet collocation scheme to be recommended, and the DQI score of the new diet collocation scheme is higher than that of the previous diet collocation scheme.

The second action guidance information comprises information for indicating that the packaged food selected by the user does not meet the health requirement, and second and third psychological guidance hint information. The user can be informed that the selected packaged food does not meet the health requirements of the user through the second action guide message.

For example, if the user incorporates a packaged food into a diet matching plan for weight management, and after the user selects a packaged food, if the packaged food is not favorable for the user's weight loss requirement, the generated second action guidance information specifically includes: after you select the packaged food product, your DQI score will be lower than XX score, which is not good for your weight loss plan. For the introduction of the second and third cardiac guiding hints information, please refer to the above contents, which are not repeated herein.

Further, the process of generating the second prompt message according to the DQI score may include: and if the DQI score is smaller than a preset target score threshold value, determining that the diet plan containing the packaged food selected by the user does not meet the health requirement of the user, generating information for indicating that the diet plan containing the packaged food selected by the user meets the health requirement of the user, generating second psychological guidance hint information, and obtaining second action guidance information according to the information for indicating that the diet plan containing the packaged food selected by the user meets the health requirement of the user and the second psychological guidance hint information.

If the DQI score is larger than or equal to the preset target score threshold value, determining that the diet plan containing the packaged food selected by the user meets the health requirement of the user, generating information for indicating that the diet plan containing the packaged food selected by the user meets the health requirement of the user, generating third psychological guidance hint information, and obtaining second action guidance information according to the information for indicating that the diet plan containing the packaged food selected by the user meets the health requirement of the user and the third psychological guidance hint information;

and/or

Determining a second alternative food based on the DQI score;

and generating second replaceable packaged food recommendation information and/or packaged food collocation recommendation information according to the information of the second replaceable food. The package food collocation recommendation information can comprise collocation schemes of a plurality of package foods.

It should be noted that the second cardiac guidance hint information is information generated when the diet plan does not meet the user's health needs, and the third cardiac guidance hint information is information generated when the diet plan meets the user's health needs.

Optionally, after the packaged food selection instruction of the user terminal is obtained, an alternative food with a higher FQI score or a higher FQL grade can be intelligently recommended to the user according to the food selected by the user through an artificial intelligence technology, for example, when the packaged food is a weight-loss food, the server can recommend weight loss FQL grade close but the grade of other health scenes is higher, or the user selects chocolate, recommends related food containing chocolate, or pork cured meat taste selected by the user, and the server recommends duck meat cured meat taste with a grade approximate to FQL, and the like. The difficulty of selecting food by the user can be further solved by recommending alternative foods to the user, and the user can find the food which is favorable for health management without much thought to compare FQL grades.

In one possible implementation, the server affirms and incentivizes the user after the user selects the high-level FQL-level packaged food, such as discount, coupon, or push health knowledge for the user, so as to guide the user to purchase FQL-level packaged food, stimulate the user to balance the needs for taste and health of the food, change the selection of the packaged food by the user, gradually change the user's eating behavior, and finally achieve the health management goal.

Of course, in other cases, the server may also generate a prompt message when the user selects the packaged food, so as to prompt the user whether the packaged food selected by the user meets the user's health requirement, and the like, through the prompt message. The prompt message includes various forms, can prompt the replaceable packaged food, can prompt whether the health requirement is met, can prompt action guidance, such as psychological intervention suggestion like 'good you do, go ahead', or prompt the user that the diet quality index DQI score is influenced.

In a specific application, if the request for viewing the packaged food carries the food label information of the packaged food, the server can calculate the FQI score according to the food label information, determine FQL grade and a corresponding visual pattern, and then send the food quality index information to the user terminal. If the packaged food viewing request does not carry the food label information of the packaged food, the related information of the packaged food can be obtained from a pre-constructed food database.

The visualization patterns corresponding to the FQI score, FQL rating, and FQL rating will be described below.

Referring to the flow schematic block diagram of the food quality assessment process shown in fig. 3, the food quality assessment process may include:

step S301, obtaining an evaluation index parameter contained in unit weight or unit quantity of packaged food, wherein the evaluation index parameter comprises at least one of nutrient weight, total energy, glycemic index, glycemic load value, plant nutrient content, anti-inflammatory index and advanced glycosylation end product content.

It should be noted that the evaluation index parameter is obtained from food tag information uploaded by the user terminal or from a pre-constructed food database. Specifically, the evaluation index parameter can be obtained by analyzing the food label information uploaded by the user terminal, or the evaluation index parameter of the packaged food can be obtained by querying a pre-constructed food database.

The unit weight or unit amount may be predetermined according to the actual application, and for example, the unit weight may be set to 100g, and the unit amount may be set to 100 g/part.

The evaluation index parameter refers to a parameter of an evaluation index for evaluating the FQI score, and for example, the evaluation index includes protein, and the weight of protein contained in 100g is 10.4g, and in this case, the protein evaluation index parameter is 10.4 g. The weight of nutrients means the weight of each type of nutrients contained in a unit part or unit weight of the packaged food.

In general, the assessment index may include at least one of nutrients, total energy (C, in Kcal), Glycemic Index (GI), Glycemic Load (GL), phytonutrients (PP), anti-inflammatory index (DII), and advanced glycation end products (AGE). The category of the nutrients can be set according to the actual application. For example, nutrients may include protein (PRO, unit g), carbohydrate (CAB, unit g), dietary fiber (F, unit g), saturated fat (SF, unit g), unsaturated fat (USF, unit g), trans fat (TF, unit g), cholesterol (CH, unit g), added sugar (SG, unit g), sodium (NA, unit MG), potassium (K, unit MG), magnesium (MG, unit MG), calcium (CA, unit MG), phosphorus (P, unit MG), iron (FE, unit MG), zinc (ZN, unit MG), folic acid (FA, unit μ g), vitamin D (VD, unit μ g) and vitamin K (VK, unit μ g).

In specific application, evaluation index parameters such as the weight, energy, glycemic index and blood glucose load of nutrients contained in various single foods, single food materials, packaged foods, dishes or recipes are input into a database in advance to form a food database containing relevant information of a large amount of packaged foods such as foods, packaged foods and recipes. When the evaluation index parameters of a certain type of evaluation index need to be obtained, the server can obtain the needed evaluation index parameters from the food database.

In other embodiments, for packaged food, besides obtaining the corresponding evaluation index parameter in the above manner, the user may also use the offline operation to acquire information related to a certain packaged food.

Specifically, a user can scan food label information on packaged food through information acquisition equipment such as a mobile phone, and after the mobile phone acquires the food label information, the food label information can be sent to a background system. And analyzing the food label by a background system to obtain related information such as evaluation index parameters and the like contained in the packaged food. Of course, the mobile phone may also parse the food label information and then return the related information to the background system. In specific application, the food label information of the packaged food can be specifically represented as bar code information such as a one-dimensional code or a two-dimensional code.

And step S302, calculating the FQI score of the packaged food according to the condition correction coefficient, the evaluation index parameters and the weight coefficient corresponding to each evaluation index.

The condition correction coefficient may be used to adjust and correct the FQI score of the packaged food. The condition correction coefficient is introduced in the calculation process of the FQI score, so that the accuracy of the FQI score can be improved, and the adjustment and correction of some deviated scores are not needed after the FQI score is obtained manually.

In a specific application, the process of obtaining the FQI score according to the condition correction coefficient may exemplarily include the following two cases:

in the first case: the value of the condition correction coefficient is not adjusted and corrected

By way of example and not limitation, the conditional correction factor comprises a first conditional correction factor r₁A second conditional correction factor r₂And a second conditional correction factor r₃. The numerical values of these three conditional correction coefficients are set in advance, and the FQI score is calculated using the preset numerical values.

For example, the FQI score is calculated as: v ═ N + Y × r₁+(R-C)*r₂+C*r₃。

At this time, the first conditional correction coefficient r₁A second conditional correction factor r₂And a second conditional correction factor r₃The value of (b) is a predetermined value.

In the second case: adjusting the value of the condition correction coefficient by using a preset correction index

In this case, the numerical value of the condition correction coefficient is set in advance, and the numerical value of the condition correction coefficient is adjusted and corrected based on the correction index such as total energy, carbohydrate, fat, or the like of the packaged food, and the FQI score is calculated using the adjusted condition correction coefficient.

In this case, the calculating of the food quality index FQI score of the packaged food according to the condition modification factor, the evaluation index parameter, and the weighting factor corresponding to each evaluation index may include:

the first step is as follows: and adjusting the numerical value of the condition correction coefficient according to a first preset correction index and a second preset correction index to obtain the adjusted condition correction coefficient, wherein the second preset correction index is an index or a preset fixed numerical value for representing the data distribution rule of the first preset correction index contained in the unit weight or unit portion of all the food in the food database. The first preset correction index is one of the evaluation index parameters of the packaged food.

It should be noted that the first preset correction index is one of the evaluation indexes of the packaged food. For example, the first predetermined modification index is the total energy contained in a unit serving or unit weight of the packaged food. For another example, the first predetermined modification index is a carbohydrate content per serving or weight of the packaged food. For another example, the first predetermined modification index is a fat content per serving or weight of the packaged food.

In addition, the value of the first preset correction index is a preset standard value, for example, when the first preset correction index is total energy, a standard value of the total energy per 100g of the packaged food is preset.

In some embodiments, the second preset correction index may be an index for representing a data distribution rule of the first preset correction index contained in all the food unit weights or unit portions in the food database. For example, when the first preset correction index is the energy of the packaged food, the second preset correction index may be a data distribution rule representing the energy contained in all the food unit weights or unit portions in the food database, and in this case, the second preset correction index may include a first index and a second index, the first index may be an energy average value, an energy quantile or an energy median, and the second index may be an energy variance, an energy standard deviation or an energy range.

For another example, when the first predetermined modification index is carbohydrate contained in the packaged food, the second predetermined modification index is a data distribution rule representing carbohydrate contained in all food unit weights or unit portions in the food database, and in this case, the second predetermined modification index may include a first index and a second index, the first index may be a carbohydrate average value, a carbohydrate fraction value or a carbohydrate median value, and the second index may be a carbohydrate variance, a carbohydrate standard deviation or a carbohydrate range.

Similarly, when the first preset correction index is an index of another type, the second preset correction index is also an index corresponding to another type, and is not listed here.

The second preset correction index may be calculated in advance based on all the food item information in the food database.

For example, if the first predetermined modification index is total energy, the second predetermined modification index includes an energy average and an energy standard deviation, and the calculation of the average and the standard deviation may include the following steps: respectively acquiring the total energy corresponding to the unit weight or unit weight of each food item in the food database; calculating an energy average value according to the total energy and the total amount of the food items corresponding to each food item; the energy standard deviation is calculated from the energy mean and the total energy corresponding to each food item. Specifically, the energy mean and the energy standard deviation may be calculated using the following

equations

1 and 2, respectively.

Wherein a is an energy average value, Cn is total energy contained per 100g of food, and n is an energy entry. DEV is the energy standard deviation.

It is understood that when the second preset modification index is other types of indexes, such as quantiles and variances, the second preset modification index can be calculated according to the total energy contained in all food unit portions or unit weights in the food database, and the specific calculation process is not described herein again.

In other embodiments, the second predetermined modification index may be a predetermined fixed value. For example, when the first preset correction index is energy, the second preset correction index is a fixed value corresponding to the energy. And when the first preset correction index is fat, the second preset correction index is a fixed value corresponding to the fat. At this time, the value of the second preset correction index is not determined based on the food information contained in the food database.

In some embodiments, adjusting the value of the condition correction coefficient according to the first preset correction index and the second preset correction index, and obtaining the adjusted condition correction coefficient may include: and determining numerical ranges according to a second preset correction index, wherein each numerical range corresponds to an adjustment target, and the adjustment targets comprise target condition correction coefficients needing to be adjusted and target numerical values of the target condition correction coefficients. And adjusting the value of the target condition correction coefficient in the condition correction coefficients to a target value based on the value range in which the first preset correction index falls, so as to obtain the adjusted condition correction coefficient.

It should be noted that the second preset correction index is used to determine a numerical range, and each data range corresponds to a target condition correction coefficient to be adjusted and a target numerical value of the coefficient. The value of the condition correction coefficient is adjusted according to the adjustment target for each value range.

For example, the determined numerical ranges are (— infinity, a ], (a, B ], (B, C ], and (C, + ∞), (the target condition correction coefficient for a, B ] is a first condition correction coefficient whose target value is 0, and the values for a (C, + ∞) correspond to first and second condition correction coefficients whose target values are 0.

More specifically, if the condition correction coefficient includes a first condition correction coefficient, a second condition correction coefficient, and a third condition correction coefficient, the second preset correction index includes a first index and a second index.

At this time, after the first coefficient and the second index are multiplied to obtain a first product, the first product and the first index are added to obtain a first value; and after the second coefficient and the second index are multiplied to obtain a second product, the second product and the first index are added to obtain a second numerical value. Then, a numerical range is determined based on the first numerical value and the second numerical value.

For example, a first value is calculated by a + k1 ×, where k1 is the first coefficient, b is the second index, a is the first index, and k1 × b is the first product. A second value is calculated by a + k2 × b, where k2 is a second coefficient, b is a second index, a is a first index, and k2 × b is a second product.

And then, adjusting the numerical value of the condition correction coefficient according to the relation between the numerical range and the first preset correction index. Specifically, if the first preset correction index is larger than the first value, the value of the second conditional correction coefficient is set to 0; if the first preset correction index is larger than or equal to the second numerical value and smaller than or equal to the first numerical value, setting the numerical values of the second conditional correction coefficient and the third conditional correction coefficient to be 0; and if the first preset correction index is smaller than the second value, setting the value of the third condition correction coefficient as 0.

For example, the first predetermined correction index is the total energy C contained in the unit classification or unit weight of the packaged food. When C is present>a + k1 × b, the second conditional correction factor r ₂0, the first conditional correction factor r₁And a third condition correction coefficientr₃Remain unchanged. When a + k2 & ltb & gt, C & lta & gt, k1 & ltb & gt, the second condition correction coefficient r2 is 0 and the third condition correction coefficient r ₃0, the first conditional correction factor r₁Remain unchanged. When C is present<a + k2 × b, third condition correction factor r ₃0, the first conditional correction factor r₁And a second conditional correction factor r₂Remain unchanged.

The second step is that: and calculating the FQI score of the packaged food according to the adjusted condition correction coefficient, the evaluation index parameters and the weight coefficient corresponding to each evaluation index.

Specifically, the formula v ═ N + Y × r is used₁+(R-C)*r₂+C*r₃Calculating FQI score, at which time r₁、r₂And r₃The coefficients are corrected for the adjusted condition. In some cases, the tuning constant N in this formula may be 0; in other cases, the tuning constant N may be different from 0.

Therefore, the condition correction coefficient is introduced in the FQI score calculation process, so that the food quality evaluation accuracy can be improved. Furthermore, the numerical value of the condition correction coefficient is adjusted by using the first preset correction index and the second preset correction index of the packaged food, and the food quality is evaluated by using the adjusted condition correction coefficient, so that the accuracy of food quality evaluation can be further improved.

It should be noted that the FQI score of the packaged food may be a score without considering the health scene, in which case the weight coefficients of each evaluation index in different health scenes are the same, so that the FQI scores of the same packaged food in different health scenes are the same. For example, for a packaged food such as dried noodles, the FQI scores are the same in a weight loss scene, a muscle growth scene and a blood pressure stabilization scene.

However, the packaged food contains a plurality of nutrient component categories, and different nutrient component categories have different influences on different health aspects of human bodies. Based on this, in order to further improve the accuracy of the calculated FQI score, so that the calculated FQI score can accurately reflect the influence of the levels of the nutritional ingredients contained in the food on different health scenes, the weight coefficients of the same evaluation index under different health scenes can be set, and thus, the FQI scores of the same packaged food under different health scenes are different, namely, the corresponding FQI scores exist under each health scene. For example, the FQI scores for the weight control scenario and the blood pressure maintenance scenario are not the same for a packaged food item such as vermicelli.

In a specific application, the FQI score may be a score in one health scenario, or may include at least two scores in health scenarios. Each health scenario has a score value. That is, in the embodiment of the present application, the FQI score of the packaged food in a certain specific health scenario may be calculated, or the scores corresponding to a plurality of health scenarios may also be calculated.

It should be noted that, according to the influence of each evaluation index on different health topics, a weight coefficient of each evaluation index in each health scenario may be set. Generally, a corresponding weight coefficient is set for each evaluation index in advance, and then the weight coefficient of the corresponding evaluation index is set to 0 according to the health scene, while the weight coefficients of the other evaluation indexes are kept unchanged.

By way of example and not limitation, the assessment index includes at least one of energy, nutrients, phytonutrients, anti-inflammatory index, advanced glycation end products, glycemic index GI, and glycemic load GL, the nutrients including at least one of protein PRO, carbohydrate CAB, dietary fiber F, saturated fat SF, unsaturated fat USF, trans fat TF, cholesterol CH, added sugar SG, sodium NA, potassium K, magnesium MG, calcium CA, phosphorus P, iron FE, zinc ZN, folic acid FA, vitamin D, and vitamin K.

And health scenarios include, but are not limited to, at least one of: the method comprises the following steps of weight management scene, blood pressure stability maintaining scene, cardiovascular and cerebrovascular improving scene, blood sugar stability maintaining scene, kidney improving scene, skeleton strengthening scene, anti-inflammatory scene, pregnancy scene and child scene.

Setting a numerical value of a weight coefficient of a first type evaluation index to 0 in a weight management scene, the first type evaluation index including at least one of a glycemic index, a glycemic load, a plant nutrient, an anti-inflammatory index, and an advanced glycosylation end product, and a first type nutrient including carbohydrates, unsaturated fats, trans fats, cholesterol, sodium, potassium, magnesium, calcium, phosphorus, iron, vitamin D, vitamin K, zinc, and folic acid;

setting the value of a weighting factor of a second type of evaluation index to 0 in a blood pressure stability scene, the second type of evaluation index comprising at least one of a glycemic index, a glycemic load, a phytonutrient, an anti-inflammatory index, and an advanced glycosylation end product, and a second type of nutrient comprising a carbohydrate, an unsaturated fat, a trans-fat, cholesterol, calcium, phosphorus, iron, vitamin D, vitamin K, zinc, and folic acid;

setting the numerical value of a weight coefficient of a third evaluation index to be 0 under the scene of improving the cardiovascular and cerebrovascular vessels, wherein the third evaluation index comprises at least one of a glycemic index, a glycemic load, plant nutrients, an anti-inflammatory index and an advanced glycosylation end product, and a third nutrient, and the third nutrient comprises carbohydrates, potassium, magnesium, calcium, phosphorus, iron, vitamin D, vitamin K, zinc and folic acid;

setting the value of a weight coefficient of a fourth type of evaluation index to 0 in a blood glucose homeostasis scene, wherein the fourth type of evaluation index comprises at least one of phytonutrients, anti-inflammatory indices, advanced glycosylation end products and fourth type of nutrients, and the fourth type of nutrients comprises unsaturated fat, trans fat, cholesterol, sodium, potassium, magnesium, calcium, phosphorus, iron, zinc, folic acid, vitamin D and vitamin K;

in the kidney improvement scenario, setting the weight coefficient of a fifth type of assessment index to a value of 0, the fifth type of assessment index including at least one of glycemic index, glycemic load, phytonutrients, anti-inflammatory index, and advanced glycosylation end products, and a fifth type of nutrient including carbohydrates, unsaturated fats, trans fats, cholesterol, sodium, magnesium, vitamin K, zinc, and folic acid;

setting a weight coefficient of a sixth evaluation index to a value of 0 in a bone-strengthening scenario, the sixth evaluation index including at least one of a glycemic index, a glycemic load, a phytonutrient, an anti-inflammatory index, and an advanced glycosylation end product, and a sixth nutrient including a carbohydrate, an unsaturated fat, a trans-fat, cholesterol, sodium, potassium, phosphorus, iron, zinc, and folic acid;

setting a numerical value of a weight coefficient of a seventh evaluation index to 0 in an anti-inflammatory scenario, the seventh evaluation index including at least one of glycemic index, glycemic load, and a seventh nutrient including carbohydrate, cholesterol, sodium, potassium, magnesium, calcium, phosphorus, iron, vitamin D, vitamin K, zinc, and folic acid;

setting the weight coefficient of an eighth type of assessment index to a value of 0 in a pregnancy scenario, the eighth type of assessment index including at least one of a glycemic index, a glycemic load, a plant nutrient, an anti-inflammatory index, and an advanced glycosylation end product, and an eighth type of nutrient including a carbohydrate, a saturated fat, a trans-fat, cholesterol, sodium, potassium, magnesium, phosphorus, vitamin K, and zinc;

in a pediatric scenario, the weight factor of a ninth category of assessment indices comprising at least one of glycemic index, glycemic load, phytonutrients, anti-inflammatory index, and advanced glycosylation end products, and ninth category of nutrients comprising carbohydrates, saturated fats, trans fats, cholesterol, sodium, potassium, magnesium, phosphorus, vitamin K, and folic acid is set to a value of 0.

It is to be noted that the above-listed health scenarios, and the first to ninth types of evaluation indexes are merely examples. In particular applications, more health scenarios may be included. And the first to ninth types of evaluation indexes may further include more or less indexes.

And multiplying the evaluation index parameters by the corresponding weight coefficients according to the weight coefficients under different health scenes, accumulating the products, and calculating the FQI scores of the packaged food under different health scenes by using the first condition correction coefficient, the second condition correction coefficient and the third condition correction coefficient.

Referring to fig. 4, a schematic diagram of the process of calculating the FQI score of the packaged food product, the process of calculating the FQI score of the packaged food product according to the adjusted condition correction factor, the evaluation index parameter and the weighting factor corresponding to each evaluation index may include the following steps:

step S401, determining a weight coefficient of each evaluation index in each health scene.

Step S402, according to the weight coefficient of each evaluation index in each health scene, multiplying each evaluation index parameter and the corresponding weight coefficient to obtain a third product, and then adding the third products corresponding to each evaluation index to obtain a third numerical value of at least one health scene.

For example, if the evaluation index includes at least one of energy C, nutrients, glycemic index GI and glycemic load GL, plant nutrients PP, anti-inflammatory index DII, and advanced glycation end product content AGE, and the nutrients include protein PRO, carbohydrate CAB, dietary fiber F, saturated fat SF, unsaturated fat USF, trans fat TF, cholesterol CH, added sugar SG, sodium NA, potassium K, magnesium MG, calcium CA, phosphorus P, iron FE, zinc ZN, folic acid FA, vitamin D, and vitamin K for a total of 24 indices, the third value may be calculated by the following formula. Here, this evaluation index of nutrients includes 18 evaluation indexes.

Y＝C*f₁+PRO*f₂+CAB*f₃+F*f₄+SF*f₅+USF*f₆+TF*f₇+CH*f₈+SG*f₉+NA*f₁₀+K*f₁₁+MG*f₁₂+CA*f₁₃+P*f₁₄+FE*f₁₅+VD*f₁₆+VK*f₁₇+GI*f₁₈+GL*f₁₉+PP*f₂₀+DII*f₂₁+AGE*f₂₂+ZN*f₂₃+FA*f₂₄

And calculating a third numerical value of each health scene according to the weight coefficients of different health scenes.

Step S403, for each healthy scene, pass v ═ N + Y × r₁+(R-C)*r₂+C*r₃Calculating FQI score of the packaged food, wherein v is the FQI scoreN is an adjusting constant, Y is a third numerical value, R is a preset threshold value of a target evaluation index, and the target evaluation index is one of the evaluation indexes; c is a target evaluation index parameter of the packaged food, the target evaluation index parameter is one of the evaluation index parameters, r is₁For the first condition, the coefficient is corrected, r₂For the second condition, the coefficient is corrected, r₃Correcting the coefficient for the third condition; the FQI score includes a score value corresponding to at least one health scenario.

Note that the target evaluation index may be one of the evaluation indexes described above, for example, the target evaluation index is total energy, and in this case, R may be set to 100. In this case, C is a total energy value contained in a unit weight or a unit portion of the packaged food. That is, R and C are the same target evaluation index, R is a preset threshold value of the index, and C is an actual value of the index contained in the packaged food.

In this embodiment, the FQI scores of the packaged food in one or more health scenes are calculated according to the weighting coefficients of the evaluation indexes in different health scenes. Therefore, the influence of the evaluation index parameters such as the nutrient level of the packaged food on different health scenes of the human body can be simply and visually expressed through the FQI scores under different health scenes, and the method is more beneficial to guiding a user to establish a personalized and long-term sustainable development healthy diet mode. Compared with the prior art that only food scoring under a single weight management scene can be performed, the food scoring method and device can evaluate food under various health scenes.

Optionally, the method may further include step S303, determining FQL grade of the packaged food according to a preset association relationship between FQI score and food quality grade FQL grade.

After the FQI score of the packaged food is obtained, the grade FQL of the packaged food can be determined based on the predetermined association between the numerical range and the FQL grade.

The association may be a packet ordering. Specifically, sorting is performed according to the high and low of the FQI score. The top n FQI score is taken as an FQL rating. For example, 100 th to 90 th correspond to one rank, and 89 th to 80 th correspond to one rank. The association relationship may be a relationship between a preset level and a corresponding range value.

If the FQI score of the packaged food comprises the score value under at least one health scene, the numerical range in which the FQI score under each health scene falls can be respectively determined, the grade corresponding to the numerical range is used as the FQL grade of the packaged food, the FQL grade of the packaged food under at least one health scene is obtained, and each numerical range corresponds to one grade.

By way of example and not limitation, the correspondence between FQI scores and FQL ratings in a weight management scenario is shown in table 1 below.

TABLE 1

Food fat reduction series (L)	Corresponding to the final score v range of the food
		1	v<v₁
2	v₁≤v<v₂
		3	v₂≤v<v₃
4	v₃≤v<v₄
		5	v₄≤v<v₅
6	v₅≤v<v₆
		7	v₆≤v<v₇
8	v₇≤v<v₈
		9	v₈≤v<v₉
10	v₉≤v

In Table 1 above, v₁～v₁₀The specific value may be set according to the actual application requirement and the health scenario, and is not limited herein.

In practical application, the user can choose to calculate the FQI score or FQL rating under one or more health scenes as required.

It can be seen that, in the embodiment of the application, indexes such as important nutrients, energy, blood glucose index and blood glucose load which are closely related to health in packaged foods such as single food, single food material, packaged foods or dishes and recipes are comprehensively considered, calculation and evaluation steps of nutrients related to healthy diet are simplified, the influence of the content of the evaluation indexes such as nutrients in the foods on different health aspects of human bodies (for example, weight management, cardiovascular and cerebrovascular improvement and the like) is expressed by using simple and intuitive modes, namely, FQI scores and FQL grades, so as to guide the user to select the foods and the dishes, formulate diet collocation schemes such as recipes or diet plans, and calculate the DQI scores of the user according to the diet collocation schemes specified by the user, so that the user is guided to establish a personalized and sustainable healthy diet mode through the FQI scores and the DQI scores.

Further, after obtaining the FQL rating of the packaged food item, different FQL ratings may be expressed using different visual patterns in order for the user to more intuitively understand the FQL rating of the packaged food item. By way of example and not limitation, reference may be made to the FQL level and visualization pattern correspondence diagram illustrated in FIG. 5. The FQL grade of the packaged food is represented by the visual pattern, so that a user can conveniently and intuitively know the influence degree of the packaged food on the health.

Optionally, the method may further include step S304, determining a visualization pattern corresponding to FQL rating of the packaged food according to a preset correspondence relationship between FQL rating and the visualization pattern.

The visualization pattern may be a pattern corresponding to fig. 5, a color gradient pattern, that is, a pattern in which the level of FQL is indicated by a color shade gradient, or other types of visualization patterns, and is not limited herein.

In some embodiments, the visual pattern corresponding to the FQL rating includes a Food Quality Level Label (FQLL) for the packaged food. See fig. 6 for a diagram of FQLL.

If there are FQL ratings for multiple health scenarios, a visual pattern corresponding to FQL ratings of the packaged food product under the multiple health scenarios is determined.

In order to better describe the technical solution provided by the embodiment of the present application, a weight management scenario will be described below.

At this time, the evaluation index includes plant nutrients PP, anti-inflammatory index DII, advanced glycation end product AGE, energy C, nutrients, glycemic index GI, and glycemic load GL, and the nutrients include protein PRO, carbohydrate CAB, dietary fiber F, saturated fat SF, unsaturated fat USF, trans fat TF, cholesterol CH, added sugar SG, sodium NA, potassium K, magnesium MG, calcium CA, phosphorus P, iron FE, zinc ZN, folic acid FA, vitamin D, and vitamin K.

In the weight management scene, the values of the weight coefficients corresponding to phytonutrients, anti-inflammatory index, advanced glycosylation end product, carbohydrate CAB, unsaturated fat USF, trans-fat TF, cholesterol CH, sodium NA, potassium K, magnesium MG, calcium CA, phosphorus P, iron FE, zinc ZN, folic acid FA, vitamin D, vitamin K, glycemic index GI and blood glucose load GL are all 0.

Evaluation indicators with weight coefficients other than 0 are: energy C, protein PRO, dietary fiber F, saturated fat SF and added sugar SG.

Firstly, the evaluation index parameters of every 100g of dried noodles and every 100g of spinach are respectively obtained. Namely, the packaged food is fine dried noodles and spinach.

Specifically, every 100g of the dried noodles contain: total energy C (363Kcal), protein PRO (13g), dietary fiber F (0g), saturated fat SF (0.8g), and added sugar SG (0 g).

Every 100g of spinach contains: total energy C (28Kcal), protein PRO (2.6g), dietary fiber F (1.7g), saturated fat SF (0g), and added sugar SG (0 g).

And then, adjusting the condition correction coefficient according to the first preset correction index and the second preset correction index. In this embodiment, the first preset correction index is total energy, and the second preset correction index includes an energy average value and an energy standard deviation, that is, a condition correction coefficient is determined according to the energy average value, the energy standard deviation, and the total energy.

At this time, the energy average value a is 210 and the energy standard deviation DEV is 170. And k 1-0.6 and k 2-0.55.

Based on this, a + k1 DEV 210+170x0.6 312, a + k2 DEV 210+ (-0.55) x170 116.5.

For the dried noodles, 363 is greater than 312, so r2 is 0. And r 1-1.5 and r 3-0.7.

At this time, the final score of the noodles is: [363 (-1.1) +13 (15) +0 (50) +0.8 (-10) + 0x 14 ]. 1.5+365 (-0.7). -573.95. At this time, the adjustment constant N is 0.

For spinach 28<116.5, so r3 is 0. And r1 is 1.5 and r2 is 3.5.

At this time, the FQI score of spinach is: [28 × (-1.1) +2.6 × (15) +1.7 × (50) +0 × (-10) +0 × 14) ], 1.5+ (100-28) × 3.5 ═ 406.8

Finally, the relationship between the FQL rating and the FQI range is shown in Table 2 below.

TABLE 2

Based on the above table 2, it can be seen that the food quality grade of the dried noodles is grade 1 and the food quality grade of the spinach is grade 9.

Further, as shown in fig. 5, the dried noodle icon is an icon corresponding to level 1, and the spinach icon is an icon corresponding to level 9.

So far, the FQI scores and FQL grades of the dried noodles and the spinach in the weight management scene are calculated, and a user can intuitively know that the FQL grade of the dried noodles is very low and is not beneficial to losing weight and the FQL grade of the spinach is high and is beneficial to losing weight through at least one of the FQI scores, FQL grades and visual patterns. In this way, if the user needs to lose weight, the spinach can be selected as the weight-losing food according to the food quality level and the icon. I.e. the user may incorporate spinach into a weight loss diet plan or weight loss recipe. Accordingly, the user selects the food meeting the self diet plan requirement according to at least one of the FQI score, the FQL grade and the visual pattern of each food, and formulates diet collocation schemes such as a menu or a diet plan.

It should be noted that, the foregoing merely illustrates the weight management scenario, and the process of other health scenarios is similar to the process of the weight management scenario, and is not described herein again.

Based on the system architecture shown in fig. 1, when a user inputs names of dried noodles and spinach in a mobile phone, or selects food, or makes a recipe or a diet plan, the server can push pre-calculated food quantity series and icons of the dried noodles and the spinach in various health scenes to the mobile phone of the user, and the mobile phone of the user displays the food quantity series and icons of the spinach and the dried noodles. And adding the spinach into the weight-losing menu by the user according to the food quality level and the icon of the spinach and the dried noodles displayed by the mobile phone so as to make a diet plan which accords with the weight-losing plan of the user.

It should be noted that, if each packaged food has a plurality of FQI scores of health scenes, when displaying the FQI scores and/or FQL grades of the packaged food to be recommended, information related to the FQI scores of all health scenes may be displayed. Of course, the health scene of the user may be determined first, and only the FQI score corresponding to the health scene of the user may be displayed. For example, if a user has diabetes, the health scene of the user is a blood glucose homeostasis scene, and only the FQI score, the FQL rating and the corresponding visualization pattern in the blood glucose homeostasis scene are displayed. In addition, a user may correspond to one or more health scenes, for example, a certain user has diabetes and is out of standard in weight, and the health scene of the user includes a blood sugar stability maintaining scene and a weight management scene at this time.

The calculation of the DQI score will be described below.

Referring to the schematic block flow diagram of the DQI score calculation process shown in fig. 7, the method may comprise the steps of:

step S701, acquiring diet plan information of the user, wherein the diet plan information comprises a food name and an intake amount of the user ingested every day.

In a specific application, a user can select packaged food under the guidance of the FQI score, the FQL grade or the corresponding visual pattern of each packaged food displayed by the user terminal, complete the diet matching for one or more days, and obtain diet plan information.

Step S702, determining the actual intake of a diet quality assessment item according to the diet information, wherein the diet quality assessment item comprises at least one of the food group, the target nutrient and the energy.

It should be noted that the food group may include, but is not limited to, at least one of the following: fresh fruits, vegetables, dark vegetables, refined cereals, whole and miscellaneous beans, dairy products, soy products, and fish/poultry/eggs/lean meat. Of course, the above-mentioned food groups are only an example, and in a specific application, more food groups are included or the food groups are divided more finely.

The above dietary quality assessment items include food groups, target nutrients, which may vary according to actual health scenarios, and energy.

By way of example and not limitation, in the context of improving cardiovascular and cerebrovascular conditions, the nutrients of interest include nutrients such as saturated fats, salts, unsaturated fats, trans fatty acids, and cholesterol.

In the glucose homeostasis scenario, the target nutrients include fatty acid ratio, saturated fatty acids, added sugar, salt, and glucose load. In the kidney improvement scenario, the nutrients of interest include fatty acid ratio, saturated fatty acids, added sugar and salt. In the pregnancy scenario, the target nutrients include fatty acid ratio, saturated fatty acids, added sugars and salts. In the children scenario, the target nutrients include fatty acid ratios, saturated fatty acids, added sugars and salts. In a strong skeletal scenario, the target nutrients include fatty acid ratios, saturated fatty acids, added sugars and salts. In the weight management scenario, the target nutrients include fatty acid ratios, saturated fatty acids, added sugar and salt. In the anti-inflammatory scenario, the target nutrients include fatty acid ratios, saturated fatty acids, added sugars and salts.

And step S703, calculating a single score corresponding to each diet quality evaluation item according to the actual intake of the diet quality evaluation item based on the preset diet quality evaluation item calculation standard.

It should be noted that the calculation criteria of the diet quality evaluation item include the diet quality evaluation item, the full score value corresponding to the diet quality evaluation item, and the recommended intake criteria corresponding to the full score value, the lowest score corresponding to the diet quality evaluation item, and the recommended intake criteria corresponding to the lowest score.

In a specific application, the calculation standard of the diet quality evaluation item can be determined according to the needs of a health scene. And adjusting the full score value corresponding to each diet quality evaluation item and the recommended intake standard corresponding to the full score value, and the minimum score corresponding to each diet quality evaluation item and the recommended intake standard corresponding to the minimum score according to the closeness and importance of each diet quality evaluation item in relation to the health scene.

By way of example and not limitation, in scenarios other than weight management, the affinity and importance ratings of the association are specifically as follows:

the closeness and the importance are extremely high: 15 to 30 minutes

The closeness and the importance are higher: 7 to 15 minutes

Closeness, importance, etc.: 0 to 7 minutes

Restricted access to food reduction items: 0 to-10 (0 point of inedibility, deduction of edible amount).

For example, in a balanced diet scene, the energy is 7-15 minutes; at least one of fresh fruits, vegetables, dark vegetables, refined grains, whole grains and mixed beans, bean products, dairy products, fish/poultry/egg/lean meat, fatty acid ratio, saturated fatty acids, added sugar and salt is 0-7 minutes.

Under the condition of maintaining stable blood pressure, 15-30 minutes of salt is used; the energy of vegetables, dark vegetables and fresh fruits is 7-15 minutes, at least one of refined grains, whole grains, mixed beans, bean products, milk products, fish/poultry/eggs/lean meat, fatty acid ratio, saturated fatty acids and added sugar is 0-7 minutes, and the liquor is 0-10 minutes.

Under the cardiovascular improvement scene, the fatty acid ratio is 15-30 min; at least one of saturated fat, trans fat, unsaturated fat, energy and salt is 7-15 min; at least one of fresh fruits, vegetables, dark vegetables, refined grains, whole grains and mixed beans, bean products, dairy products, fish/poultry/eggs/lean meat, added sugar and cholesterol is 0-7 minutes; the smoke is 0 to-10 minutes.

Under the scene of maintaining stable blood sugar, at least one of fresh fruits, vegetables, dark vegetables, added sugar and energy is 7-15 minutes; at least one of refined grains, whole grains and mixed beans, bean products, dairy products, fish/poultry/eggs/lean meat, fatty acid ratio, saturated fatty acids, salt and blood glucose load GL is 0-7 minutes.

Under the kidney improving scene, at least one of vegetables, dark vegetables, fruits, bean products, milk products, whole grains, mixed beans, fish/poultry/eggs/lean meat and energy is 7-15 minutes; refining the grains, wherein at least one of the ratio of fatty acid, saturated fatty acid, added sugar and salt is 0-7 min; muscle increasing, namely bean products, fish/poultry/eggs/lean meat, and energy of 7-15 minutes; at least one of fresh fruits, vegetables, dark vegetables, refined grains, whole grains and mixed beans, dairy products, fatty acid ratios, saturated fatty acids, added sugar and salt is 0-7 minutes.

In the pregnancy scene, at least one item of energy, dairy products, fish/poultry/eggs/lean meat is 7-15 minutes; at least one of fresh fruits, vegetables, dark vegetables, refined grains, whole grains, mixed beans, bean products, fatty acid ratio, saturated fatty acids, added sugar and salt is 0-7 minutes; at least one of the tobacco, the wine and the cured meat is 0 to-10 minutes.

In the scene of children, at least one of dairy products, bean products, fish/poultry/eggs/lean meat and energy is 7-15 minutes; at least one of fresh fruits, vegetables, dark vegetables, refined grains, whole grains and mixed beans, the ratio of fatty acid, saturated fatty acid, added sugar and salt is 0-7 minutes.

Under the scene of strengthening bones, at least one of dairy products, bean products, fish/poultry/eggs/lean meat and energy is 7-15 minutes; at least one of fresh fruits, vegetables, dark vegetables, refined grains, whole grains and mixed beans, the ratio of fatty acid, saturated fatty acid, added sugar and salt is 0-7 minutes.

In an anti-inflammatory scene, at least one of fresh fruits, dark vegetables, refined grains, fatty acid ratio, saturated fatty acids, added sugar and energy is 7-15 minutes; at least one of vegetables, whole grains and mixed beans, bean products, dairy products, fish/poultry/eggs/lean meat and salt is 0-7 minutes; at least one of the wine and the cured meat is 0 to-10 minutes.

In some embodiments, the single score calculation process for the diet quality assessment item may be embodied as follows:

the first step is as follows: and if the actual intake of the diet quality evaluation items is in the range between the recommended intake standard amount corresponding to the preset single full score and the recommended intake standard amount corresponding to the preset single lowest score, calculating the difference value between the actual intake of each diet quality evaluation item and the recommended intake standard amount corresponding to the preset single lowest score of each diet quality evaluation item, and recording the difference value as a first difference value.

The second step is that: and calculating the difference value between the recommended intake standard quantity corresponding to the preset single full score and the recommended intake standard quantity corresponding to the preset single lowest score of each diet quality evaluation item, and recording as a second difference value.

The third step: a ratio of the first difference to the second difference is calculated.

The fourth step: and multiplying the ratio value and the full score value to obtain a single score of each diet quality evaluation item.

Specifically, the individual score of each diet quality assessment item was obtained by (actual intake value-intake corresponding to lowest score) × full score/(intake standard corresponding to full score-intake corresponding to lowest score).

The fifth step: and if the actual intake of the diet quality evaluation item does not reach the recommended intake standard quantity requirement corresponding to the preset single lowest score, recording the single score corresponding to the diet quality evaluation item as the lowest score.

And a sixth step: and when the actual intake of the diet quality evaluation item exceeds the requirement of the recommended intake standard amount of the preset single full score value, the actual intake is counted as the full score value.

For example, in a weight management scene, the preset single full score of fresh fruits is 3-7 minutes, the condition of the preset single full score is that the number of fresh fruits ingested every day is more than or equal to 150-440 g, the preset single full score of the fresh fruits is 0-minus 10 minutes, and the condition of the preset single lowest score is that no fresh fruits exist;

the preset single full value of the vegetables is 3-7 minutes, the preset single full value is that the number of the vegetables which are ingested every day is more than or equal to 220-630 g, the preset single lowest value of the vegetables is 0-minus 10 minutes, and the preset single lowest value is that no vegetables exist;

the preset single full value of the dark-colored vegetables is 3-7 minutes, the preset single full value is that the number of dark-colored vegetables ingested every day is more than or equal to 110-320 g, the preset single lowest value of the dark-colored vegetables is 0-minus 10 minutes, and the preset single lowest value is that no dark-colored vegetables exist;

the preset single full value of the refined grains is 3-7 minutes, the condition of the preset single full value is that the number of the refined grains ingested every day is less than or equal to 110-190 g, the preset single lowest value of the refined grains is 0-minus 10 minutes, and the condition of the preset single lowest value is that the number of the refined grains is more than or equal to 240-410 g/day;

the preset single full value of the whole grains and the mixed beans is 3-7 minutes, the preset single full value is that the whole grains and the mixed beans which are taken every day are more than or equal to 35-190 g, the preset single minimum value of the whole grains and the mixed beans is 0-minus 10 minutes, and the preset single minimum value is that no whole grains or mixed beans exist;

the preset single full score of the dairy product is 3-7 minutes, the preset single full score is that the dairy product taken every day is equal to or more than 220-400 g of liquid milk, the preset single lowest score of the dairy product is 0-minus 10 minutes, and the preset single lowest score is that no dairy product exists;

the preset single full value of the bean product is 3-7 minutes, the preset single full value is that the number of the bean product taken every day is equal to or larger than 18-32 g of soybeans, the preset single lowest value of the bean product is 0-minus 10 minutes, and the preset single lowest value is that no bean product exists;

the preset single full value of fish/poultry/egg/lean meat is 3-7 minutes, the preset single full value is that the number of fish/poultry/egg/lean meat taken every day is more than or equal to 90-250 g, the preset single minimum value of fish/poultry/egg/lean meat is 0-minus 10 minutes, and the preset single minimum value is that no fish/poultry/egg/lean meat exists;

the fatty acid ratio preset single full score is 3-7 minutes, the preset single full score is that the fatty acid ratio of PUFAs + MUFAs/SFAs of food taken every day is more than or equal to 1.5-2.5, the fatty acid ratio preset single minimum score is 0-10 minutes, and the preset single minimum score is that the fatty acid ratio of PUFAs + MUFAs/SFAs is less than or equal to 0.5-1.5, wherein the PUFAs are polyunsaturated fatty acids, the MUFAs are monounsaturated fatty acids, and the SFAs are saturated fatty acids;

the preset single full value of saturated fatty acid is 3-7 min, the preset single full value is that the saturated fatty acid ingested every day is less than or equal to 7-13%, the preset single lowest value of saturated fatty acid is 0-minus 10 min, and the preset single lowest value is that the energy is more than or equal to 19-33% of energy;

the preset single-item full value of salt is 3-7 min, the preset single-item full value is that the amount of salt ingested per day is less than or equal to 4-8 g, the preset single-item minimum value of salt is 0-minus 10 min, and the preset single-item minimum value is that the amount of salt ingested per day is more than or equal to 7-13 g/day;

the preset single full score of energy is 30-50 minutes, the condition of the preset single full score is that the daily Intake energy is less than or equal to 75-125% of recommended dose (Calorie Intake, CI), the minimum score of the preset single energy is 0-minus 10 minutes, and the condition of the minimum score of the preset single energy is more than or equal to 110-190% of recommended dose (CI).

Step S704, obtaining the food quality index DQI score of the user according to the single score corresponding to each food quality evaluation item.

In specific application, the single scores of each diet quality evaluation item can be accumulated to obtain the DQI score of the user. Of course, if the health scene needs to be met, according to the health scene, a weight coefficient is set for the single score corresponding to each diet quality evaluation item, the single score corresponding to each diet quality evaluation item is multiplied by the corresponding weight coefficient to obtain the product of each diet quality evaluation item, and the product of each diet quality evaluation item is accumulated to obtain the DQI score of the user.

In the embodiment of the application, the scoring criteria of the energy items can be set according to the basic information of the user. The scoring criteria for how to set the energy entry will be described below.

The first step is as follows: and calculating the daily basic energy demand of the user according to the acquired basic information of the user.

It should be noted that the user basic information may include, but is not limited to, sex, height, weight, age, and the like.

Specifically, if the user is a male, the daily basal energy demand of the user is calculated by BN 864-9.72 age + PA (14.2 kg weight +503 height meters).

If the user is female, the daily basal energy demand of the user is calculated by BN 387-7.31 age + PA (10.9 kg weight +660.7 height meters).

Wherein BN is the daily basic energy demand and PA is the living multifactor coefficient of the sedentary life style of the user.

It should be noted that the value of the activity multifactor coefficient of PA, i.e., the sedentary lifestyle of the user, may be set to 1, considering that users who need to lose weight generally have less exercise amount.

Of course, the calculation of the daily base energy demand is not limited to the above-mentioned.

The second step is that: and determining the daily energy limit amount of the user according to the health scene target determined by the user.

It should be noted that, different health scenarios may also result in different daily energy limits for users.

By way of example and not limitation, in a weight management scenario, a user's weight loss goal is user input. If the user loses N kg of weight weekly, an energy limit notch of R kcal needs to be implemented. If the weight reduction target set by the user is "weight reduction N kg/week", the daily energy restriction (CR) is R × N/7N.

It is understood that controlling body weight includes controlling body weight and increasing weight if the daily energy limitation CR is negative. In the case of other healthy situations, the energy limit CR may be adjusted to 0 or smaller in certain situations.

The third step: and calculating the recommended daily energy intake of the user according to the daily basic energy demand and the daily energy limit.

When calculating the recommended daily energy intake (CI) of a user, two cases may be classified according to the presence or absence of extra exercise by the user.

If the user has no additional motion:

at this time, the user recommends a basal energy intake (CN) by subtracting the daily basal energy demand by the daily energy limit amount. Namely CN ═ BN-CR. CN is taken as the daily energy recommended intake, i.e. CI ═ CN.

If the user has additional motion:

at this time, the daily exercise activity degree information of the user can be obtained, and then the metabolic equivalent corresponding to the exercise type of the user is determined according to the daily exercise activity degree information; then, calculating the energy consumed by the daily exercise of the user according to the metabolic equivalent; finally, calculating the difference value between the daily basic energy demand and the daily energy limit, and calculating the product between the energy consumed by daily exercise and a preset coefficient; and adding the difference and the product to obtain the energy recommended intake.

It should be noted that the daily exercise activity level information includes exercise type information and exercise duration information of the user. For example, bikes are ridden for half an hour daily.

Specifically, first, a Metabolic Equivalent (MET) corresponding to the exercise category of the user is determined. The MET for each sport of the user can be defined according to the american sport medically approved ACSM sport category MET table.

Then, the energy spent in exercise (PAC) is calculated again. And calculating the PAC according to the weight w (kg) of the user and the exercise time length (hr) t1, t2, t3 and … of the user by using a PAC calculation formula. The PAC calculation is as follows:

PAC＝w*t_1*MET₁₊w*t_2*MET₂₊w*t_3*MET₃+……

and finally, calculating the CI value, wherein the calculation formula of the CI value is as follows: CI ═ CN + f PAC (f is a coefficient).

Considering that the estimated amount of motion of the user is generally less than the actual amount of motion, f can be set to be less than 1, which can better meet the actual situation of the user.

It should be noted that, when calculating the recommended daily energy intake of the user, the situations that the user has extra exercise and does not have extra exercise are fully considered, so that the calculated recommended daily intake meets the actual situation of the user. In addition, when the user has extra exercise, the actual exercise amount of the user is considered to be less than the input expected exercise amount, so when the recommended daily intake of energy is calculated, the energy consumed by the daily exercise is multiplied by a preset coefficient smaller than 1, and the recommended daily intake is more in line with the actual situation of the user.

The fourth step: energy entry calculation criteria are set according to the daily recommended energy intake.

To better describe the calculation process of the DQI score, a specific example will be illustrated below.

Calculating the daily basal energy requirement BN of the user, wherein the user is male, the age is 29 years old, the weight is 51.5 kilograms, and the height is 1.76 meters: then:

BN 864-9.72 age + PA (14.2 kg body weight +503 height meters)

＝864-9.72*29+1*(14.2*51.5+503*1.76)＝864-281.88+(731.3+885.28)

＝2198.87

The daily energy limit CR is defined.

The user is set to control 1kg of body weight per week and the energy limitation gap needs to be 7000 kcal.

If the user selects "control weight 0.5 kg/week" as the control weight target, CR 7000 × 0.5/1/7 is 500

Calculating user recommended base energy intake CN

CN＝BN-CR＝1698.87

The sports of the user is that the user rides a bicycle MET which is 3.5, the sports time is 0.5 hour, the weight is 51.5 kilograms, and the energy PAC consumed by the sports is calculated as follows:

PAC＝w*t1*MET1＝51.5*0.5*3.5＝90.125

calculating recommended intake CI corresponding to full value of daily energy

CI + f PAC 1698.87+0.8 90.125 1770.97, and the coefficient f is 0.8.

The following is a specific example that details how the single-day DQI score of a diet quality assessment item is calculated.

Acquiring the name and the quantity of the food input by a user, wherein the method comprises the following steps: 100g of bananas, 200g of apples, 100g of celery stems, 100g of broccoli, 100g of spinach, 320g of hamburgers, 60g of corns, 10g of soybeans, 300g of whole milk, 50g of shredded pork, 300g of fried chicken, 50g of potato chips and 325ml of cola.

Classifying foods and calculating the score of each food group, wherein the method specifically comprises the following steps:

fresh fruits: 100g of banana and 200g of apple are 300g

300g of vegetables: 100g of celery stem, 100g of broccoli and 100g of spinach, 300g

200g of dark vegetables: broccoli 100g + spinach 100 g-200 g

130g of refined grains: hamburger bread 80g and potato chips 50 g-130 g

60g of whole grain: corn 60g

300g of milk product: whole milk 300g

10g of bean product: 10g of soybeans

Fish/poultry/egg/lean meat: 50g of pork shreds, 300g of fried chicken and 160g of meat in hamburger, namely 510g

Individual dietary quality index scores were calculated for the dietary quality assessment entries, where nutrients included fatty acid ratios, saturated fatty acids, salts and energy, as detailed in table 3.

And accumulating the individual diet quality index scores of the diet quality evaluation items to obtain the diet quality index score of the user.

The total fraction is: 6+4.2+4.8+4+4.2+3+2.8+5+1.4+4.8+0+0 is 40.2 points

It will be appreciated that when the DQI score is the DQI score for a first predetermined time period, the full score is not changed and the recommended intake criteria for the first predetermined time period is the single day recommended intake criteria multiplied by the first predetermined time period. For example, the DQI score is calculated every 2 days, the diet information input by the user is 2 days, the recommended intake standard is the single-day recommended intake standard multiplied by 2, and other calculation processes are the same as the single-day DQI score, and are not described herein again.

TABLE 3

Up to this point, the DQI score is calculated. It should be understood that what has been shown above is merely an example.

In the embodiment of the application, the user can continuously select packaged food according to the guidance of FQI score and DQI score, and finally the diet plan information of one day or more days with higher DQI score. After the user finishes one-day or multi-day diet plan information, the platform system of the embodiment of the application also provides a packaged food purchasing service, that is, foods or food materials corresponding to the diet plan information can be directly purchased from the platform system provided by the embodiment of the application.

In the embodiment of the application, after the user determines the packaged food, the user can directly purchase the packaged food in the platform system of the embodiment of the application.

In some embodiments, after a user determines a packaged food to be purchased through the platform system provided in the embodiments of the present application, the user may directly purchase the corresponding packaged food from the platform system, including: the method comprises the steps of obtaining packaged food purchase order information sent by a user terminal, initiating a payment request to the user terminal according to the packaged food purchase order information, and sending the packaged food purchase order information to a logistics distribution system after payment is successful.

In a specific application, after the user determines the packaged food scheme required to be purchased, the system can generate a packaged food list of the packaged food collocation scheme and present the packaged food list to the user. The user may add or subtract packaged food items based on the list of packaged food items.

After determining the packaged food to be purchased, a user fills in related order information, the user terminal sends the order information of the packaged food to the server, and the server initiates a payment request to the user terminal after determining the amount to be paid according to the price of the packaged food and the order of the packaged food. After the user completes payment by operating the user terminal, the server may transmit the packaged food order information to the logistics distribution system. The packaged food order information may include packaged food information, delivery address and contact phone number information.

The logistics distribution system may be a server, that is, an operator of the platform system may provide the corresponding food materials for the user. Of course, the logistics distribution system may not be a server, that is, a third party providing food materials for the user is not an operator of the platform system.

Therefore, after determining the collocation of the packaged food, the user can directly purchase the packaged food on the platform, the method is convenient and fast, the trouble or difficulty in the process of selecting, purchasing and obtaining the healthy food by the user is comprehensively solved, the user is finally helped to change the eating habit and practice the healthy food, and the user experience is high.

Corresponding to the method for selecting and implementing packaged food described in the foregoing embodiments, fig. 8 shows a block diagram of a structure of a device for selecting and implementing packaged food provided in an embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown. The apparatus may be integrated with a server.

Referring to fig. 8, the apparatus may include:

an obtaining module 81, configured to obtain a packaged food viewing request sent by a user terminal;

a sending module 82, configured to send packaged food information to the user terminal in response to the packaged food viewing request, so as to instruct the user terminal to display the packaged food information, where the packaged food information includes food quality index information of the packaged food;

the first prompt module 83 is configured to acquire a packaged food selection instruction sent by the user terminal, generate first prompt information according to food quality index information of packaged food in response to the packaged food selection instruction, send the first prompt information to the user terminal, and instruct the user terminal to display the first prompt information, where the first prompt information includes at least one of the following: first action guide information and first alternative packaged food recommendation information.

In some possible implementation manners, the request for viewing the packaged food includes a request for viewing the packaged food generated after the information acquisition device scans the packaged food or a request for viewing the packaged food generated by a user operating a user terminal through a mouse or a touch screen.

In some possible implementations, the food quality index information includes at least one of: food quality index FQI score, food quality rating FQL rating, and FQL rating.

In some possible implementations, the visual pattern corresponding to the FQL grade includes a packaged food health quality grade warning indicator FQLL;

In some possible implementations, the first reminder information includes first alternative packaged food recommendation information; the first prompt module is specifically configured to:

In some possible implementations, the first hint information includes first movement guidance information for directing a user to select a packaged food item, the first movement guidance information including information indicating whether the user-selected packaged food item meets a user's health needs and first psychological direction hint information;

the first prompt module is specifically configured to:

In some possible implementations, the apparatus further includes:

the DQI score calculating module is used for calculating the DQI score of the diet quality index of the user according to diet plan information of the user, wherein the diet plan information comprises packaged foods and other foods selected by the user, and the other foods comprise single foods, single food materials, dishes and a menu;

a second prompt module, configured to generate second prompt information according to the DQI score, and push the second prompt information to a user terminal to instruct the user terminal to display the second prompt information, where the second prompt information includes at least one of the following: second action guidance information, second replaceable packaged food recommendation information, and diet collocation plan recommendation information.

Further, the second prompting module is specifically configured to:

and/or

Determining a second alternative food based on said DQI score;

In some possible implementations, the DQI score calculation module is specifically configured to:

determining an actual intake of a diet quality assessment entry based on the diet information, the diet quality assessment entry including at least one of the food group, a target nutrient, and energy, the diet plan information including a food name and an intake;

calculating a single score corresponding to each diet quality evaluation item according to the actual intake of the diet quality evaluation items based on the preset diet quality evaluation item calculation standard;

In some possible implementations, the sending module specifically includes:

a food quality evaluation unit for determining at least one of visual patterns corresponding to FQI score, FQL grade and FQL grade of packaged food;

and the generating unit is used for generating the packaged food information according to at least one of the visual patterns corresponding to the FQI score, the FQL grade and the FQL grade of the packaged food, and transmitting the packaged food information to the user terminal.

In some possible implementations, the food quality assessment unit is specifically configured to:

obtaining evaluation index parameters contained in unit weight or unit quantity of packaged food, wherein the evaluation index parameters comprise at least one of nutrient weight, total energy, blood glucose index, blood glucose load value, plant nutrient content, anti-inflammatory index and advanced glycosylation end product content, and the evaluation index parameters are obtained according to food label information uploaded by a user terminal or from a pre-constructed food database;

adjusting the numerical value of the condition correction coefficient according to a first preset correction index and a second preset correction index to obtain an adjusted condition correction coefficient, wherein the second preset correction index is an index or a preset fixed numerical value for representing the data distribution rule of the first preset correction index contained in unit weight or unit weight of all food in a food database, and the first preset correction index is one of evaluation index parameters of packaged food;

and calculating the FQI score of the packaged food according to the adjusted condition correction coefficient, the evaluation index parameters and the weight coefficient corresponding to each evaluation index.

In some possible implementations, the condition correction coefficient includes a first condition correction coefficient, a second condition correction coefficient, and a third condition correction coefficient, and the second preset correction index includes a first index and a second index;

the food quality evaluation unit is specifically configured to:

multiplying the first coefficient and the second index to obtain a first product, and adding the first product and the first index to obtain a first numerical value;

multiplying the second coefficient by the second index to obtain a second product, and adding the second product to the first index to obtain a second numerical value;

if the first preset correction index is larger than the first value, setting the value of the second condition correction coefficient as 0;

if the first preset correction index is larger than or equal to the second numerical value and smaller than or equal to the first numerical value, setting the numerical values of the second conditional correction coefficient and the third conditional correction coefficient to be 0;

and if the first preset correction index is smaller than the second value, setting the value of the third condition correction coefficient as 0.

for each healthy scene by v ═ N + Y × r₁+(R-C)*r₂+C*r₃Calculating FQI scores of the packaged foods, wherein v is the FQI score, N is a regulating constant, Y is a third numerical value, R is a preset threshold value of a target evaluation index, the target evaluation index is one of the evaluation indexes, C is a target evaluation index parameter of the target food, the target evaluation index parameter is one of the evaluation index parameters, and R is₁For the first condition, the coefficient is corrected, r₂For the second condition, the coefficient is corrected, r₃And for the third condition correction coefficient, the FQI score comprises a score value corresponding to at least one healthy scene.

In some possible implementations, the method further includes:

an FQL grade determining module for determining FQL grade of the packaged food according to the preset association relationship between FQI score and FQL grade;

and the visual pattern determining module is used for determining the visual pattern corresponding to the FQL grade of the packaged food according to the preset corresponding relation between the FQL grade and the visual pattern.

In some possible implementations, the method further includes:

and the purchasing module is used for acquiring the packaging food purchase order information sent by the user terminal, initiating a payment request to the user terminal according to the packaging food purchase order information, and sending the packaging food purchase order information to the logistics distribution system after the payment is successful.

The device for realizing the selection of the packaged food has the function of realizing the method for realizing the selection of the packaged food, the function can be realized by hardware, and the function can also be realized by executing corresponding software by hardware, the hardware or the software comprises one or more modules corresponding to the function, and the modules can be software and/or hardware.

It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/modules, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and reference may be made to the part of the embodiment of the method specifically, and details are not described here.

Fig. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 9, the terminal device 9 of this embodiment includes: at least one processor 90, a memory 91 and a computer program 92 stored in said memory 91 and executable on said at least one processor 90, said processor 90 implementing the steps of any of the various method embodiments described above when executing said computer program 92.

The terminal device 9 may be a computing device such as a cloud server. The terminal device may include, but is not limited to, a processor 90, a memory 91. Those skilled in the art will appreciate that fig. 9 is only an example of the terminal device 9, and does not constitute a limitation to the terminal device 9, and may include more or less components than those shown, or combine some components, or different components, for example, and may further include an input/output device, a network access device, and the like.

The Processor 90 may be a Central Processing Unit (CPU), and the Processor 90 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 91 may in some embodiments be an internal storage unit of the terminal device 9, such as a hard disk or a memory of the terminal device 9. The memory 91 may also be an external storage device of the terminal device 9 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal device 9. Further, the memory 91 may also include both an internal storage unit and an external storage device of the terminal device 9. The memory 91 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 91 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps that can be implemented in the above method embodiments.

The embodiments of the present application provide a computer program product, which, when running on a terminal device, enables the terminal device to implement the steps in the above method embodiments when executed.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. A method for realizing selection of packaged food is characterized by comprising the following steps:

acquiring a packaged food viewing request sent by a user terminal;

2. The method of claim 1, wherein the request for viewing the packaged food comprises a request for viewing the packaged food generated by scanning the packaged food with an information acquisition device or a request for viewing the packaged food generated by operating a user terminal with a mouse or a touch screen.

3. The method of claim 1, wherein the food quality index information comprises at least one of: visual patterns corresponding to the food quality index FQI score, the food quality grade FQL grade and the food quality grade FQL grade;

the visual pattern corresponding to the FQL grade comprises a packaged food health quality grade warning mark FQLL;

4. The method of claim 1, wherein the first reminder information includes first alternative packaged food recommendation information;

5. The method of claim 1, wherein the first prompting message includes a first movement guidance message for guiding the user to select the packaged food item, the first movement guidance message including information indicating whether the user-selected packaged food item meets the user's health needs and a first psychological guidance cue message;

6. The method of claim 1, wherein after obtaining the packaged food selection instruction sent by the user terminal, the method further comprises:

generating second prompt information according to the DQI score, and pushing the second prompt information to a user terminal to instruct the user terminal to display the second prompt information, wherein the second prompt information comprises at least one of the following items: second action guidance information, second replaceable packaged food recommendation information, and diet collocation plan recommendation information.

7. The method of claim 6, wherein generating second hints from the DQI scores comprises:

and/or

Determining a second alternative food based on said DQI score;

and generating the second replaceable packaged food recommendation information and/or packaged food collocation recommendation information according to the second replaceable food information.

8. The method of claim 6, wherein calculating a Diet Quality Index (DQI) score for the user based on the user's diet plan information comprises:

9. The method of any of claims 3 to 8, wherein sending packaged food information to the user terminal comprises:

10. The method of claim 9, wherein determining the FQI score of the packaged food product comprises:

obtaining an evaluation index parameter contained in unit weight or unit serving of packaged food, wherein the evaluation index parameter comprises at least one of nutrient weight, total energy, blood glucose index, blood glucose load value, plant nutrient content, anti-inflammatory index and advanced glycosylation end product content, and the evaluation index parameter is obtained according to food label information uploaded by a user terminal or is obtained from a pre-constructed food database;

11. The method according to claim 10, wherein the conditional correction coefficient includes a first conditional correction coefficient, a second conditional correction coefficient, and a third conditional correction coefficient, and the second preset correction index includes a first index and a second index;

12. The method of claim 11, wherein calculating the FQI score of the packaged food item based on the adjusted condition modification factor, the evaluation index parameter, and the weighting factor corresponding to each evaluation index comprises:

13. The method of claim 10, further comprising, after calculating the FQI score of the packaged food product:

14. The method of claim 1, wherein the method further comprises:

15. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 14 when executing the computer program.

16. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 14.