CN110867239A

CN110867239A - Diet suggestion generation method and device, computer device and storage medium

Info

Publication number: CN110867239A
Application number: CN201911081409.XA
Authority: CN
Inventors: 周进怡
Original assignee: Beijing Tianji Technology Co Ltd; Beijing Institute of Technology BIT
Current assignee: Beijing Tianji Technology Co Ltd; Beijing Institute of Technology BIT
Priority date: 2019-11-07
Filing date: 2019-11-07
Publication date: 2020-03-06

Abstract

The invention discloses a diet suggestion generation method and device, a computer device and a storage medium, which belong to the technical field of diet and nutrition management and comprise the following steps: collecting attribute information of a user, wherein the attribute information of the user comprises user target information, and the user target information comprises at least one target level; collecting diet information of a user; and generating diet suggestion information of the user based on the attribute information and the diet information of the user. The invention comprehensively considers the target information of the user, so that the collected information is more comprehensive, and more personalized and targeted diet suggestions can be provided for the user.

Description

Diet suggestion generation method and device, computer device and storage medium

Technical Field

The invention relates to the technical field of diet and nutrition management, in particular to a diet suggestion generation method and device, a computer device and a storage medium.

Background

With the continuous improvement of living standard, people have new requirements on health, and scientific diet management is an important means for guaranteeing health. In the prior art, electronic devices such as mobile phones and computers are generally adopted to realize preliminary diet management. However, the prior art has the disadvantage that the dietary advice pushed to the user cannot be fully adapted to the specific user's needs for health, for example: the recording of diet information mainly depends on the user to select and input, and depends on the subjective estimation of the user, so that the recording mode is neither convenient nor accurate, and great difficulty and deviation are caused to diet management; only a few components can be managed simply for a specific target, such as: the statistics of calorie intake for weight reduction does not realize systematic comprehensive management of the intake diet and the contained components, so that the intake diet and the components cannot be comprehensively optimized; the dietary history, personal conditions, health and disease conditions of the user cannot be comprehensively considered, and the dietary component optimization scheme is customized for the user according to the target set by the user, so that personalized and targeted dietary component suggestions are provided for the user.

Disclosure of Invention

In order to solve at least one problem in the prior art, in a first aspect, an embodiment of the present invention provides a diet advice generating method, including the following steps:

collecting attribute information of a user, wherein the attribute information of the user comprises user target information, and the user target information comprises at least one target level;

collecting diet information of a user;

and generating diet suggestion information of the user based on the attribute information and the diet information of the user.

In a second aspect, an embodiment of the present invention provides a diet advice generating apparatus, including:

the attribute information acquisition unit is used for acquiring attribute information of a user, wherein the attribute information of the user comprises user target information, and the user target information comprises at least one target level;

the diet information acquisition unit is used for acquiring diet information of a user;

and the diet suggestion generating unit is used for generating diet suggestion information of the user based on the attribute information and the diet information of the user.

In a third aspect, embodiments of the present invention provide a computer apparatus, comprising a processor, which is configured to implement the steps of the above-mentioned diet advice generating method when executing a computer program stored in a memory.

In a fourth aspect, embodiments of the present invention provide a readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the above-mentioned diet advice generation method.

From the above technical contents, it can be seen that the present invention has the following beneficial effects:

when the attribute information of the user is collected, the user can set user target information for the user, and the target level is divided according to the importance degree of a plurality of targets in the user target information to the user, so that the collected information is more comprehensive, and more personalized and targeted diet suggestions can be provided for the user.

Drawings

To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.

FIG. 1 is a flowchart of a diet advice generation method according to an embodiment of the present invention;

FIG. 2 is a flowchart of a method for obtaining food and drink ingredient information according to an embodiment of the present invention;

FIG. 3 is a block diagram of a diet advice generating apparatus according to an embodiment of the present invention;

FIG. 4 is a flow chart of a method for generating a result of an analysis of the intake of dietary components according to an embodiment of the present invention;

FIG. 5 is a graphical illustration of a historical average line of dietary component intake provided by an embodiment of the present invention;

FIG. 6 is a flowchart of a method for generating a diet advice according to an embodiment of the present invention;

FIG. 7 is a block diagram of a diet advice generation system according to an embodiment of the present invention;

FIG. 8 is a block diagram of a diet advice generation system according to an embodiment of the present invention;

fig. 9 is a schematic view of a query flow of user information according to an embodiment of the present invention;

fig. 10 is a schematic view of a query flow of further user information according to an embodiment of the present invention.

Detailed Description

In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described in detail with reference to the accompanying drawings and examples. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.

The embodiment of the invention provides a technical scheme for generating a diet proposal, which mainly comprises three parts of contents, such as acquisition of user attribute information and diet information, a calculation method of an analysis result of diet component intake and a generation method of the diet proposal. In addition, in the embodiment of the present invention, the three parts are respectively modified, and in the following embodiment, the modifications will be described from three different angles, and those skilled in the art will also understand that in the summary of the actual implementation process, the modifications of the three parts may also be considered to be fused, so as to obtain a new embodiment.

In the first part, the present embodiment mainly relates to a technical solution for improving the user attribute information and the diet information acquisition content. In a first aspect, as shown in fig. 1, an embodiment of the present invention provides a diet advice generating method, including the following steps:

s101, collecting attribute information of a user, wherein the attribute information of the user comprises user target information, and the user target information comprises at least one target level;

s102, collecting diet information of a user;

and S103, generating diet suggestion information of the user based on the attribute information and the diet information of the user.

Specifically, when managing the diet of the user, the user often can make a plurality of targets to the user, and the targets can be classified according to the importance degree of the user, for example: for healthy adults, "keep healthy" as the basic/high priority target and "lose 5 kg" as the advanced/low priority target; for diabetics, "control diabetes" is used as a basic/high priority target, and other targets are advanced/low priority targets. In order to provide more personalized and targeted diet suggestions for users, when attribute information of the users is collected, target information set by the users is collected, and the target information of the users is stored in a database, a user library and a target information library through input of the users.

Optionally, the attribute information of the user further includes user basic information and user health information.

Specifically, the more comprehensive the collected attribute information of the user, the more accurate the generated diet advice. The basic information of the user, such as age (date of birth), sex, height, weight, occupation, living area, etc., is stored in the database-user base-basic information base by the input of the user; the user health information such as physical examination data, disease conditions, disease history, hereditary diseases, occupational diseases, anaphylaxis and the like is stored in the database-user library-health information library through the input of the user.

Optionally, the attribute information of the user is collected by at least one of direct collection, external import, and indirect collection.

Optionally, the collecting the attribute information of the user by a direct collecting method includes:

collecting attribute information of a user in a mode of character input, menu input, option input, shooting input character recognition and voice input character recognition;

the method for collecting the attribute information of the user by the external import comprises the following steps:

acquiring attribute information of a user in a mode of importing from physical examination software, a system and equipment and/or importing from medical diagnosis software, a system and equipment;

the collecting of the attribute information of the user by the indirect collection method comprises the following steps:

the attribute information of the user is acquired by acquiring high-risk disease information according to occupation of the user and/or acquiring genetic disease information according to user association information in the electronic equipment.

Specifically, in general, a user does not know the personal attribute information of the user completely, and the user often knows the basic information of the user, such as the age (date of birth), sex, height, weight, occupation, living area, and the like, and the diet preference information, so that the basic information and the diet preference information can be directly input by the user. Some health information is generated in the process of physical examination or medical diagnosis of a user, and the information is generally stored in physical examination software, a system and equipment or medical diagnosis software, a system and equipment, and the user only needs to import the health information when inputting the health information, so that the operation of the user is reduced, and the problem that the recorded health information is inaccurate due to incomplete or even wrong health information input by the user through recalling is avoided.

Some information needs to be acquired through indirect acquisition modes such as big data analysis or system intelligent analysis, for example, high-risk disease information (occupational disease) is acquired according to the occupation of the user, for example, for a software engineer, cervical spondylosis and lumbar disc herniation are high-risk diseases; or the relationship between the user and other people is obtained according to information such as address lists/associated accounts stored in the electronic equipment, and further genetic disease information is obtained, if parents have certain diseases, the diseases are high-risk diseases for children, and for a certain area with poor water quality, tuberculosis diseases are high-risk diseases for users living in the area. In addition, the user can input the target information of the patient with the disease or the high-risk disease as the high-priority target, and the system can also automatically input the target information.

The electronic device includes a mobile phone, a Pad, a notebook computer, a desktop computer, etc., and the electronic device may provide a user with various modes such as text input, menu input, option input, shooting input text recognition, voice input text recognition, etc., so that the user may input his/her own attribute information, or may be connected to a device installed with physical examination software or medical diagnosis software, and the attribute information of the user is imported from the device, which is not limited in the embodiments of the present invention.

Optionally, the collecting the diet information of the user includes:

acquiring diet information contained in food purchased by a user through consumption records generated in a purchasing link by the user; or

Collecting diet information contained in food processed by a user in a processing link; or

The method comprises the steps of collecting diet information contained in food ingested by a user in a diet segment.

Optionally, the food product comprises a direct eating food material and a food material to be processed.

Specifically, in daily life, diet information of a user is often generated in multiple links, and in order to acquire complete and accurate diet information and facilitate the user to input diet information in each link, diet information can be acquired in each link.

Optionally, the acquiring, through a consumption record generated by the user in the purchasing link, diet information included in the food purchased by the user includes:

the method comprises the steps of collecting direct edible food materials purchased by a user and/or diet information contained in food materials to be processed through consumption records generated by the user in purchasing links of an online platform, independent ordering and code scanning payment.

Specifically, when the user is shopping on an online platform, such as Taobao and Jingdong; or when the user orders the food autonomously, such as WeChat small programs and special food ordering software; or when the code is scanned and paid, consumption records are generated in purchasing links such as WeChat scanning or horse box app, and the consumption records are used for recording diet information of users, such as 500g pork dumplings, 450ml beer, 1kg potato and the like. The diet information only needs to be imported into the system by the user, and the user does not need to input the diet information in a complicated way, so that the information acquisition efficiency is improved.

Optionally, the collecting the diet information included in the food processed by the user in the processing link includes:

directly eating food materials and/or food information contained in food materials to be processed are manually input by a user; and/or

Acquiring diet information contained in the directly edible food material and/or the food material to be processed through information recorded by a user on a packaging bag or a packaging box of the directly edible food material and/or the food material to be processed; and/or

The direct eating food material and/or the food information contained in the food material to be processed is inquired through a database.

Specifically, in the processing link, a user can manually input direct edible food materials and/or diet information contained in food materials to be processed, for example, the direct edible food materials which the user wants to make are mashed broccoli, the user can perform hierarchical input in a system menu, for example, the user sequentially selects season vegetable-broccoli-mashed broccoli, the system provides various food materials to be processed which are required for making mashed broccoli to the user after receiving the information, and the system can extract diet information contained in the food materials to be processed after the user selects the food materials to be processed; or the user knows which food materials to be processed are needed for making the mashed garlic broccoli, and the user can directly input the food materials to be processed at the moment, for example, the food materials can be input through characters or voice; or the system stores historical diet information of the user, and the user can directly import the historical diet information at the moment.

The food purchased by a user usually has a packaging bag or a packaging box, and the packaging bag or the packaging bag usually records food diet information, such as food name, weight and components, and at the moment, the user only needs to record bar codes, two-dimensional codes and text descriptions on the packaging bag or the packaging box, and does not need to perform complicated manual input.

After acquiring the food to be ingested by the user, it is necessary to further acquire which ingredients are contained in the food to be ingested, and at this time, the user can inquire which ingredients are contained in the food to be ingested through a database in the system.

Optionally, the acquiring the diet information included in the food ingested by the user in the diet segment includes:

manually inputting diet information contained in the directly edible food material by a user; and/or

Acquiring diet information contained in the directly edible food materials through information recorded on a packaging bag or a packaging box of the directly edible food materials by a user; and/or

The eating information contained in the directly eaten food material is inquired through a database.

Specifically, in the diet link, similar to the processing link, the user can manually input diet information contained in the direct edible material, for example, the direct edible material the user wants to input is oolong tea, the user can perform hierarchical input in a system menu, for example, sequentially select beverage-tea drink-oolong tea-1 bottle-500 ml, and after receiving the information, the system can extract the diet information contained in the oolong tea; or the user directly inputs 500ml of oolong tea through text input or voice input, the system identifies the input information and extracts the diet information contained in the oolong tea; or the system stores historical diet information of the user who intakes the oolong tea, and the user can directly import the historical diet information without the system for identification and query.

If the food purchased by the user is provided with the packaging bag or the packaging box, the packaging bag or the packaging bag generally records food and diet information of the food, such as the name, the weight and the components of the food, at the moment, the user only needs to record the bar code, the two-dimensional code and the text description on the packaging bag or the packaging box, and the user does not need to perform complicated manual input.

After acquiring the food to be ingested by the user, it is necessary to further acquire which ingredients are contained in the food to be ingested, and at this time, the user can inquire which ingredients are contained in the food to be ingested through a database-standard library-dietary ingredient standard library in the system.

Optionally, collecting the diet information of the user includes collecting diet metric information and diet component information of the user.

Optionally, the diet metric information includes the type, total amount and intake of the food.

In particular, the system collects directly from the user the diet records, such as a bowl of rice, an apple, a dumpling, etc., which the system cannot recognize, and therefore it is necessary to convert into diet metric information that the system can recognize, i.e. the type, amount and intake of the food.

The food types comprise names and categories of foods, and the names of the foods can be graded, such as black coffee-American black coffee, litchi-glutinous rice cake litchi, wonton-pork stuffing wonton; furthermore, the name of the same diet may be more than one, such as a school name, a south name, a north name. The food may also be classified into beverage-coffee, beverage-tea, home dish-chuancai, medicine-prescription medicine-antiphlogistic. In addition, the names and categories of the food may be combined to form multiple levels, and when acquiring the diet metric information, the lowest category of the food needs to be acquired, namely the highest name of the food, such as beverage-coffee-black coffee-american black coffee-starbucks american black coffee, if the "category-name" is classified as "beverage-coffee" - "black coffee-american black coffee-starbucks american black coffee", then the diet information needs to be acquired at the lowest level for accurate acquisition of the diet information.

On the other hand, the user may have food left after eating, and therefore, in order to obtain more accurate diet information, it is necessary to obtain the intake amount of a certain food by the user.

Optionally, collecting the total amount of food comprises:

weighing the total amount of the food through a pressure sensor built in the electronic equipment; or

Weighing the total amount of the food by an external device with a weighing function; or

The size of the food is measured, the weight of the food per unit size is queried through a database, and the total amount of the food is calculated.

Specifically, for some food which cannot be obtained through consumption records, packaging bags and packaging boxes and which is not included in the historical food information of the user, the food information can be collected only through weighing, for example, a pressure sensor is built in the electronic device, so that the electronic device has the function of an electronic scale, and the electronic device weighs the total amount of the food; or the total amount of the food is weighed by an external device with a weighing function, such as an electronic scale or a container with the electronic scale function, and then the measuring result is sent to the system in a wireless or wired mode; the total amount of food may be weighed indirectly or by measuring the size of the food and then calculating the total amount of food by looking up the weight of the food per unit size using a database-standard library-dietary component standard library in the system.

Optionally, measuring the size of the food product comprises:

displaying scale information on a display screen of the electronic device to measure the size of the food according to the scale information; or

After the food image is collected, the boundary recognition is carried out on the collected image, and the size of the food is automatically measured.

Specifically, since the hardware size of the electronic device is determined, for example, the length and the width of the display screen, a user can preset scale information in the electronic device, so that the electronic device has the function of an electronic scale, the user can measure the size of food through the scale information displayed on the display screen of the electronic device without using an entity scale for measurement, and the types of tools required for obtaining the diet information of the user are reduced.

Furthermore, an image recognition function can be set in the electronic equipment, after the food image is collected, the electronic equipment carries out boundary recognition on the collected image and automatically measures the size of the food, so that the operation of a user is reduced, and the information collection efficiency is improved.

Optionally, displaying the scale information on the display screen of the electronic device includes:

and setting a scaling in the electronic equipment, setting corresponding scale information according to the scaling, and displaying through a display screen.

Specifically, for some food products with larger or smaller sizes, when the real scale information is inconvenient to measure, the scale information can be scaled in the electronic device, and the scaled scale information is used to measure the sizes of the food products.

Optionally, collecting the food intake comprises:

collecting the total amount of food before a user takes certain food and the residual amount of the food after the user takes the food, and calculating the intake amount of the user to the food according to the difference between the total amount of the food and the residual amount of the food; and/or

Collecting the total amount of food before a user intakes a certain food, and calculating the intake of the user to the food according to the empirical proportion of the edible part of the food; and/or

Inquiring the intake amount of a certain food of the user based on historical diet information stored in a database by the user; and/or

Collecting the total amount of food of a plurality of users before the users take a certain food, and calculating the intake amount of a specific user to the food according to the experience value of the total amount of diet and the experience value of diet preference of each user; and/or

The total amount of food before a user intakes a certain food is collected, and the intake amount of the user to the food is calculated according to the intake proportion self-evaluated by the user.

Specifically, the intake amount of a user for a certain food can be collected in the most basic manner, for example, the total amount of the food before the user takes the certain food is collected, the remaining amount of the food is collected after the user takes the food, and the intake amount of the user for the food can be calculated according to the difference between the total amount of the food and the remaining amount of the food. In order to make the data obtained more accurate, the weight of the food before and after ingestion may be collected several times.

If the user ingests fruit, since the fruit generally has edible parts and inedible parts, the ingestion amount can be collected according to the empirical ratio of the edible parts of the fruit, for example, the empirical ratio of the edible parts of apples is 80%, and the weight of one apple is 250g, and then the ingestion amount of the user can be calculated to be 200g according to the empirical ratio. The empirical ratio of the edible part of the food is stored in a database-standard library of dietary components, or a database-user library-user-historical dietary information library, and the user can inquire the database through the system.

Generally, each person has own eating habits, for example, breakfast usual by a certain user is a cup of milk and two eggs, so that the user can inquire historical eating information of the user through a database-user library-historical eating information library in the system without complicated manual input, thereby reducing the operation of the user and improving the efficiency of information acquisition.

In some scenarios, users often need to share food with others, such as a party. In these situations, it is necessary to collect the total amount of food before the intake of a certain food, and then calculate the intake of each food for a specific user according to the experience value of the total amount of diet and the experience value of diet preference (the ratio of a certain food to the total amount of diet) of each user. For example, if a certain user likes to eat vegetable, does not eat meat dish, and does not drink wine, the ratio of the vegetable to the total amount of the diet is higher in the experience value of the user's diet preference, and the intake of the meat dish and the wine is zero.

If the user knows the total amount of the food and the dietary preference of the user, the user can also estimate the intake proportion of the ingested food and calculate the intake of certain food.

Several of the above-described ways of collecting food intake may be used in combination, and different priorities may be set, such as default values in way two, evaluation in way one, correction and confirmation in way five.

Optionally, as shown in fig. 2, after collecting the food intake, the method further comprises:

s201, acquiring dietary components and dietary component contents contained in each food ingested by a user from a database;

s202, calculating the intake of the user for the dietary components contained in each food based on the intake of the user for each food and the content of the dietary components contained in each food;

and S203, adding the intake amount of the same dietary components in each food by the user to obtain the dietary component information of the user.

Specifically, the final basis for pushing the diet advice to the user is which diet components the user has ingested and the intake amount of each diet component, so after the intake amount of each food by the user is collected, the diet components contained in each food and the intake amount of each diet component need to be obtained, and then the intake amounts of the same diet components in each food are added to obtain the diet component information of the user.

Optionally, the diet information further includes at least one of diet state information, diet extension information, diet safety information, and diet evaluation information;

the diet status information comprises at least one of food intake stage, food sharing status, food intake time and food form;

the diet extension information comprises at least one of food producing area and food brand;

the dietary safety information comprises at least one of food production date, food shelf life and caution items;

the diet evaluation information includes at least one of a user's good rating and a history of food disability.

Specifically, in order to make the generated diet advice more accurate, the collected diet information of the user may further include diet state information, such as a food intake stage, a food sharing state, a food intake time, and a food form. The food intake stages are waiting to eat (drink), eaten (drink) and left, and the understanding of the food intake stages is helpful for accurately calculating the intake of each food by a user; the food sharing state is that whether a certain food is taken by several people or not, and the knowledge of the food sharing state is helpful for calculating the intake amount of the certain food for the user by selecting different calculation methods; the food intake time is breakfast, Chinese meal, dinner and night, etc., and the knowledge of the food intake time is helpful for knowing whether the user takes excessive food or dietary components, for example, if the user eats a plurality of eggs for breakfast, the protein components taken in are higher, so that the protein intake needs to be reduced in proper amount for the next Chinese meal, dinner and night, etc., and the burden on the human body is reduced; the food shape is solid or liquid, some foods have different shapes, and the weight and the content of dietary components of the foods can be changed when the foods are in different shapes, for example, soybeans are made into fried dishes and soybean milk, eggs are made into poached eggs and egg custards, the food shape of a certain food can be known, and the intake of a user to the certain food and the intake of the dietary components can be more accurately obtained.

The food producing area and the food brand also have certain influence on the accuracy of the acquired diet information, for example, the weight and the carbohydrate content of rice produced in northeast China and that produced in Jiangzhe China are different; while different brands of the same product may have different formulations, such as two manufacturers of chili paste, one manufacturer may produce chili paste with a higher salt content than the other. Therefore, in order to make the generated diet advice more accurate, diet extension information needs to be acquired.

Whether a certain food is expired or not and whether the food is deteriorated have a great influence on the health of a human body, so that diet safety information is also considered when diet information of a user is collected. Knowing the production date and the shelf life of the food, knowing whether the food is expired or deteriorated, estimating the degree of decomposition of certain dietary components in the food according to the production date, and further estimating the current content of certain dietary components, such as a fermented bean curd product, wherein microorganisms are added during the curing process, the microorganisms can promote the proteolysis of proteins, and promote the fermentation of sugars into ethanol and other alcohols or the formation of organic acids, so that the degree of decomposition of the proteins along with the time is considered when calculating the protein content in the fermented bean curd, and the change value of the protein content in the fermented bean curd can be inquired from a database-standard library-dietary component standard library. The food is convenient to eat after opening the bag, can be eaten within 3 days after opening the bag and is not suitable for certain people.

When people take out at a point, people can evaluate certain food to generate diet evaluation information, and the diet evaluation information can have certain influence on the collected user diet information, for example, the favorable evaluation rate and the bad history of the food of the user can influence whether other users select to purchase the food, and further influence the intake of the user on certain diet components.

In a second aspect, as shown in fig. 3, an embodiment of the present invention provides a diet advice generating apparatus, including:

an attribute information collecting unit 301, configured to collect attribute information of a user, where the attribute information of the user includes user target information, and the user target information includes at least one target level;

a diet information acquisition unit 302 for acquiring diet information of a user;

a diet advice generating unit 303, configured to generate diet advice information of the user based on the attribute information and the diet information of the user.

Optionally, the collecting the diet information of the user includes:

Optionally, collecting the total amount of food comprises:

Optionally, measuring the size of the food product comprises:

Optionally, collecting the food intake comprises:

Optionally, after collecting the food intake, further comprising:

acquiring the dietary components and the dietary component content contained in each food ingested by the user from a database;

calculating the intake amount of the dietary components contained in each food by the user based on the intake amount of each food by the user and the content of the dietary components contained in each food;

and adding the intake amount of the same dietary components in each food by the user to obtain the dietary component information of the user.

The diet advice generating device may be used to implement the technical solutions of the method embodiments shown in fig. 1 to fig. 2, and the implementation principles and technical effects thereof are similar and will not be described herein again.

In a third aspect, embodiments of the present invention provide a computer apparatus, comprising a processor for implementing the steps of the diet advice generation method shown in fig. 1 to 2 when executing a computer program stored in a memory.

In a fourth aspect, embodiments of the present invention provide a readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the diet advice generation method shown in fig. 1 to 2.

The embodiment of the invention mainly relates to a technical scheme for improving the collection content of user attribute information and diet information.

In the second part, improvement can be made in the aspect of calculating the analysis result of the dietary component intake amount according to the collected user attribute information and the dietary information, so that the generated dietary suggestion is more targeted. The attribute information and the diet information of the user according to the embodiments of the present invention may be based on the attribute information and the diet information of the user collected in the embodiments disclosed in the first part of the present invention, or may be attribute information and diet information of the user collected in other manners, which is not limited in this embodiment of the present invention.

As shown in fig. 4, an embodiment of the present invention provides a method for generating a result of analyzing an intake amount of a dietary component, including:

s401, acquiring the total intake amount of a user to set dietary components in a statistical period based on the dietary information of the user, wherein the interval length of the statistical period is N days including the current date, the value of N is related to the characteristics of the dietary components contained in the set diet or/and the physical characteristics of the user, and N is more than or equal to 1;

s402, calculating the daily average intake of the set dietary components of the user in a statistical period;

s403, acquiring a threshold value of an intake interval range of the set dietary components;

and S404, generating an intake analysis result based on the daily average intake of the set dietary components in the statistical period and the set threshold of the intake interval range of the dietary components.

Specifically, it is first required to obtain the total intake amount of the user for a set dietary component in a statistical period, where the interval length of the statistical period is N days including the current date, for example, the intake amount of the user for a certain dietary component in 10 months is counted, and assuming that the interval length of one statistical period is 7 days, the first statistical period may be from 10 month 1 to 10 month 7, and the current date is 10 month 7; the second statistical period is from 10 month 2 to 10 month 8, and the current date is 10 month 8; the third statistical period is from 10 months 3 to 10 months 9, the current date is 10 months 9, and so on. The total amount of the user's intake of the set dietary component during each statistical period is then calculated. Since different dietary components are absorbed by human bodies at different speeds, and users with different constitutions absorb the same dietary component at different speeds, the length of the statistical period interval needs to be set according to the characteristics of the dietary components contained in the set diet and the constitutional characteristics of the users.

After acquiring the total intake amount of the user for the set dietary component in the statistical period, calculating the average daily intake amount of the user for the set dietary component in the statistical period, such as the total intake amount is C_NThe statistical period is N days, the average daily intake is C_N/N。

The users of different individuals have a health standard for the daily intake of each dietary component, so that the threshold value of the range of the intake of the set dietary component can be obtained from the database-standard library-health standard database.

Finally based on the average daily intake C of the dietary components set during each statistical period_Nand/N, and a threshold value of the interval range of the intake amount of the dietary component, can generate the analysis result of the intake amount of a certain dietary component of the user.

Optionally, the diet information includes:

diet metric information including type, total amount and intake of food;

the food and drink composition information includes the type and intake of food and drink composition.

Specifically, diet measurement information of the user, such as the type, total amount and intake amount of food ingested by the user, is acquired, after the diet measurement information is acquired, the type of dietary components contained in the ingested food can be inquired from the database-standard library-dietary component standard library, and then the intake amount of each dietary component is calculated.

Optionally, the range threshold of the intake interval of the dietary component is acquired from the health standard database based on attribute information of the user, where the attribute information of the user includes at least one of basic information of the user, health information of the user, and target information of the user.

Optionally, the user basic information includes at least one of gender, age, and weight.

Optionally, the user health information includes at least one of physical examination data, a disease condition, and a family medical history.

Specifically, if part of the attribute information of the user is known, such as basic information of the user, for example, sex, height and age, a range threshold more conforming to the intake interval of each dietary component of the user can be obtained from the health standard database; or the health information of the user, such as physical examination data, diseased conditions and family medical history, can be known, and a range threshold value which is more in line with the intake interval of each dietary component of the user can be obtained from the health standard database; alternatively, or in addition, user target information, such as "lose weight 5 kg" and "control diabetes", may be known, and a range threshold more in line with the user's intake interval for each dietary component may be obtained from the health criteria database. Further, if all the attribute information of the user is known, the range threshold of the intake interval of each dietary component of the user, which is acquired from the health standard database, is most accurate.

Optionally, the intake interval of the dietary component is divided into an intake normal interval, an intake early warning interval and an intake hazard interval according to the range threshold.

Specifically, the intake interval of the set dietary components is further divided into an intake normal interval, an intake early warning interval and an intake hazard interval according to the range threshold, so that the dietary information of the user can be more accurately analyzed, and a more detailed intake analysis result is provided.

Optionally, the intake early warning interval includes an intake early warning upper interval and an intake early warning lower interval, and the intake hazard interval includes an intake hazard upper interval and an intake hazard lower interval;

the range threshold values of the intake damage upper interval, the intake early warning upper interval, the intake normal interval, the intake early warning lower interval and the intake damage lower interval are reduced in sequence.

Specifically, if the acquired intake amount of the user for the set dietary component is within the intake amount normal interval, the intake amount indicates that the user takes the dietary component normally. If the obtained intake of the set dietary component by the user is within the intake early warning upper interval, the intake of the user on the dietary component is excessive, which may cause that the human body cannot absorb the dietary component in time or the user is not suitable to absorb the excessive dietary component, thereby affecting the health of the user; if the obtained intake of the set dietary component by the user is within the intake early warning lower interval, the intake of the dietary component by the user is too small, and the user may lack some dietary component necessary for the human body, so that the health of the user is affected. If the obtained intake of the set dietary component by the user is within the upper intake harm interval, the intake of the dietary component by the user is seriously excessive and possibly exceeds the absorption burden of a human body or is prohibited for the user, so that the health of the user is harmed; if the obtained intake of the user to the set dietary component is within the intake harm lower interval, the intake of the user to the dietary component is seriously insufficient, and the human body lacks the dietary component to cause abnormal or sick metabolic function, thereby endangering the health of the user.

The range threshold of each section is sequentially decreased, for example, the intake amount normal section is [ C ]_a,C_b]The intake early warning upper interval is (C)_b,C_c]The upper interval of intake damage is (C)_c+ ∞) intake amount early warning lower interval is [ C_d,C_a) The lower interval of intake damage is [0, C ]_d) Wherein 0 is not more than C_d≤C_a≤C_b≤C_c<And + ∞. If C is present_a0, indicating that the dietary component does not have to be taken daily; if C is present_bWhen the food ingredient is equal to 0, the food ingredient is a harmful ingredient and is prohibited from being taken; if C is present_bAnd + ∞, the intake of the dietary component is not limited.

It should be noted that the intake interval may be further divided, for example, the intake optimal interval may be further divided within the intake normal interval or an intake optimal value may be set within the intake normal interval, but generally, the intake interval at least has the intake normal interval, and the embodiment of the present invention is not limited in particular.

Optionally, the characteristic of the dietary component is the speed of response of the different dietary components to health or disease;

the constitutional features are the reflecting speeds of users at different age stages or/and in different health conditions on health or diseases caused by the same dietary component.

Specifically, each dietary component has its own characteristics, such as certain dietary components are easily absorbed by the human body, and certain dietary components take a longer time to be completely absorbed by the human body. In addition, due to individual differences, users can be divided into three groups of suitable intake, unsuitable intake and prohibited intake for the same dietary component, and based on the speed of absorption of the dietary component by the human body, the characteristics of the dietary component can be reflected as the speed of health or disease for a specific user.

On the other hand, users at different ages absorb the same dietary component at different speeds, for example, infants absorb certain dietary components faster than normal adults. In addition, the rate of absorption of the same dietary component may vary from one user to another when the user is in different health conditions. Similarly, based on the rate at which dietary components are absorbed by the body, the characteristics of dietary components may be reflected in the rate of health or disease for a particular user.

Optionally, the intake analysis result includes at least one of dietary component intake status information, dietary component intake advice information, and dietary component intake difference information.

Specifically, in order to make the user clearly understand the absorption of each dietary component, the intake analysis result obtained based on the dietary information and the attribute information of the user includes three kinds of information. The state information of the intake amount of the dietary components can visually show the intake condition of certain dietary components to the user, for example, the user intakes protein, and when the protein intake is normal, the state information of the intake amount of the dietary components indicates normal; when the protein intake is excessive or insufficient, the state information of the intake of the dietary components prompts early warning; when protein intake is severely excessive or severely insufficient, the status information of dietary component intake indicates an alarm. The state information of the intake amount of the dietary ingredients is sent to the electronic equipment and is displayed to a user through a display screen, for example, when the state information of the intake amount of the dietary ingredients is normal, the display screen displays green graphs of circles, squares or triangles, and corresponding 'normal' literal descriptions are attached to the graphs; when the state information of the intake amount of the dietary components is early warning, a display screen displays yellow circles, squares or triangles, and corresponding text descriptions of 'excess' or 'deficiency' are attached to the graphs; when the status information of the intake amount of the dietary components is an alarm, the display screen displays red circles, squares or triangles, and corresponding words of 'severe excess' or 'severe deficiency' are attached to the graphs. In addition, the status information of the intake amount of the dietary component may be presented to the user in other manners, and the embodiment of the present invention is not limited thereto.

Further, while the state information of the intake amount of the dietary components is displayed for the user, the user is provided with dietary component intake suggestion information, for example, the protein intake of the user is insufficient, the system suggests how much protein the user should take every day, and protein-rich food is pushed to the user; if the user ingests excessive sugar, the system will advise the user that the sugar intake should be reduced each day and push a food product with a lower sugar content to the user; if the user ingests a dietary component that is harmful to health, the system may advise the user to refrain from ingesting the dietary component and push a food product containing the harmful dietary component to the user.

Further, while providing the user with the dietary component intake advice information, the system may also present the user with the dietary component intake difference information, so that the user can more clearly know how much of a certain dietary component is taken, for example, an adult has a weight of 60kg, and according to a general health standard, the content of protein taken by the adult per day is 0.8-1.2g per kg, and the protein taken by the user per day is 48-72g, but the user cannot completely follow the standard per day, so the intake difference is generated, the system presents the difference to the user, and the user can adjust his/her diet by combining the dietary component intake state information and the dietary component intake advice information.

Optionally, generating an intake analysis result based on the average daily intake of the dietary components and the threshold value of the intake interval range of the dietary components in the statistical period comprises:

and generating an intake analysis result according to different periods of the current date and based on the daily average intake of the set dietary components in the statistical cycle and the intake interval range threshold of the dietary components.

Specifically, if the interval length N of the statistical period is 1, that is, the statistical period is 1 day, since the intake of the dietary components before this day is not involved, that is, the intake of the dietary components today is accumulated from 0, the intake will greatly fluctuate, and therefore, the range thresholds of the intake normal interval, the intake early-warning interval, and the intake hazard interval need to be adjusted in combination with the time interval, for example, for the early-warning lower interval, before the breakfast interval, since the user does not take food overnight and is in an empty stomach state, the interval threshold of the early-warning lower interval can be adjusted up to be within the intake normal interval. Aiming at the lower damage interval, the same way as the lower early warning interval is adopted, and before the breakfast time period, the threshold value of the lower damage interval can be adjusted upwards to enable the lower damage interval to be within the normal intake interval; in the early and middle meal periods, as the user intakes certain food, the threshold value of the interval damaging the lower interval can be adjusted upwards to be within the intake early warning interval; after the meal time period, no adjustments are made to the hazard lower interval because the user has recently ingested a sufficient amount of food.

Alternatively, as shown in fig. 5, a historical average intake profile for the set dietary component is generated based on the daily average intake of the set dietary component by the user over a plurality of statistical cycles.

Specifically, the user cannot perform daily intake according to strict dietary standards, so that the obtained daily average intake fluctuates up and down, and the intake history line can intuitively reflect the intake condition of a certain dietary component of the user in a period of time. According to the intake history average line and the intake analysis result, the user can more clearly make a diet plan for the user, adjust the diet habit of the user and avoid overeating so as to avoid that the intake of certain diet components is suddenly high or low.

The above is an improvement of the method for calculating the analysis result of the dietary component intake in the second part of the present invention.

For the improvement of the third part that generates a specific diet recommendation based on the analysis result of the intake amount of the dietary component, the user attribute information, the diet information, the analysis result of the intake amount of the dietary component, and the like according to the third part of the present invention may refer to the first part and the second part, and may be obtained without being limited to the above manner.

As shown in fig. 6, another diet advice generating method is provided in the embodiments of the present invention, including:

s601, acquiring attribute information of a user and an intake analysis result of the user;

s602, generating a diet suggestion according to the attribute information of the user and the intake analysis result of the user, wherein the diet suggestion comprises a recommended food type, food consumption information corresponding to the recommended food type, at least one of urgency information corresponding to the recommended food type and priority information corresponding to the recommended food type.

Specifically, due to individual differences, the situation of each person is different, and therefore attribute information and intake analysis results of the user need to be comprehensively considered when pushing diet suggestions to the user. The dietary suggestions contain recommended food categories, i.e. the user is provided with a list of food items directly, which the user can choose from according to his own eating habits and preferences. The food consumption information corresponding to the recommended food types provides the user with the daily intake of each recommended food, so that the user can achieve the set target or keep healthy. The emergency degree information corresponding to the recommended food type shows the user which diet components are lacked by the user and the corresponding recommended food which needs to be supplemented in time. The priority information corresponding to the recommended food category gives specific suggestions, establishes a diet plan for the user, and lists what dietary components the user should take in priority, and what food the user should take in priority.

Optionally, the obtaining of the attribute information of the user includes obtaining basic information of the user, health information of the user, and user target information, where the user target information includes at least one target level.

When managing the diet of oneself, the user often all can formulate a plurality of targets to oneself, and a plurality of targets can be according to the importance degree division target rank to the user, for example: for healthy adults, "keep healthy" as the basic/high priority target and "lose 5 kg" as the advanced/low priority target; for diabetics, "control diabetes" is used as a basic/high priority target, and other targets are advanced/low priority targets. In order to provide more personalized and targeted diet suggestions for users, target information set by the users is also collected when the attribute information of the users is collected, and the target information of the users is stored in a database/a user library/a target information library through the input of the users.

Optionally, the obtaining of the intake analysis result of the user includes:

the method comprises the steps of obtaining diet information of a user, and obtaining an intake analysis result of the user based on the diet information of the user.

Specifically, the method for obtaining the intake analysis result can refer to the disclosure of the above embodiments of the present invention, and is not repeated herein.

Optionally, the diet information includes:

diet metric information including type, total amount and intake of food;

Optionally, the intake analysis result includes dietary component intake status information, dietary component intake advice information, and dietary component intake difference information.

Optionally, the priority information corresponding to the recommended food category is obtained based on at least one of one or more dietary components contained in the recommended food, status information of dietary component intake amount, user-defined priority rule, historical dietary information of the user, and recommended food intake amount.

In particular, a food often contains a plurality of dietary components required by the user, so that when the user takes the food, the user can simultaneously take a plurality of required dietary components, the intake amount of the food can be reduced, and when the user is pushed a dietary suggestion, the food has higher priority than other recommended foods.

The state information of the intake amount of the dietary components shows whether the intake amount of a certain dietary component is normal or not to the user, for example, when the user takes too much of a certain dietary component, the intake amount of the corresponding dietary component is reduced, and the priority of the food containing the dietary component is lower than that of other recommended foods; when the user has too little intake of a certain dietary component, the corresponding dietary component is increased in intake, and the food containing the dietary component is prioritized over other recommended food.

Because everyone's eating habits and diet preference are different, therefore the user can formulate user-defined priority principle according to own eating habits and diet preference, and the system can be according to user-defined priority principle to the food that the user propelling movement contains the dietary component that the user needs to intake to the user.

The historical diet information of the user records the diet condition of the user in a past period of time, the system can analyze the diet habits and diet preferences of the user from the historical diet information of the user, and then the priority of recommended food is formulated according to the diet habits and diet preferences of the user, so that the diet suggestions pushed to the user are more suitable for the requirements of the user.

When the system pushes the recommended food to the user, the system also gives the recommended food intake, namely, the intake of each recommended food is required to be enough for the user to take the dietary components. If two recommended food products contain a dietary component that the same user desires to consume, the recommended food product having a higher content of the dietary component than the other food product having the same weight is given a higher priority.

In addition, priority information corresponding to the recommended food type can be obtained by comprehensively considering one or more dietary components contained in the recommended food, the state information of the dietary component intake amount, the user-defined priority principle, the historical dietary information of the user and the recommended food intake amount, and the embodiment of the invention is not limited specifically.

Optionally, the food consumption information corresponding to the recommended food type is obtained based on one or more dietary components contained in the recommended food and the intake difference information of the dietary components.

In particular, since a food often contains a plurality of dietary components required by the user, the user can simultaneously ingest a plurality of required dietary components when ingesting such food. Each recommended food contains different contents of the same dietary component in unit weight, so that the weight of the recommended food taken by a user to obtain the same dietary component is different. When the system pushes the recommended food to the user, the system calculates how much of the dietary component the user needs to take according to the intake difference information of the dietary component, then calculates the weight of the recommended food to be taken according to the amount of the dietary component which needs to be taken, and finally generates and pushes food consumption information corresponding to the recommended food type to the user.

Optionally, the emergency degree information corresponding to the recommended food type is obtained based on one or more dietary components contained in the recommended food and the intake amount state information of the dietary components.

In particular, since a food often contains a plurality of dietary components required by the user, the user can simultaneously ingest a plurality of required dietary components when ingesting such food. These foods are more urgent than other recommended foods when pushing dietary advice to the user.

The state information of the intake amount of the dietary components shows whether the intake amount of a certain dietary component is normal or not to the user, for example, when the user takes too much of a certain dietary component, the intake amount of the corresponding dietary component is reduced, and the priority of the food containing the dietary component is lower than that of other recommended foods; when a user ingests too little a certain dietary component, the corresponding dietary component is increased in intake, and the food containing the dietary component is more urgent than other recommended food.

The one or more dietary components contained in the recommended food and the state information of the intake amount of the dietary components are combined, which foods are needed to be taken by the user in time and which foods can be taken in a proper amount in a reducing mode can be obtained, and the system pushes emergency degree information corresponding to the recommended food types to the user for the user to select.

Optionally, the diet advice further includes non-recommended food information, and the non-recommended food information includes a first food intake prohibition type, a second food intake prohibition type, and urgency information corresponding to the second food intake prohibition type.

Specifically, the system also comprises non-recommended food information in the diet suggestions pushed to the user, so that the user can know more clearly which foods are not suitable for intake. The first food intake prohibition type and the second food intake prohibition type are foods containing dietary components harmful to the user, and the first food intake prohibition type and the second food intake prohibition type may visually show the user which foods are not suitable for intake in the form of an unrendered food list. And the urgency information corresponding to the second food intake prohibition type prompts the user to intake food which is not suitable for intake and needs to stop intake immediately.

Alternatively, the first prohibited-intake food category includes foods having harmful dietary components, and foods harmful to a specific user based on the attribute information of the user.

Specifically, the first food products prohibited from being ingested are those that have a harmful dietary component in their own right, or are harmful to a particular user, such as sugar, which is a harmful dietary component for diabetics.

Optionally, the food containing one or more currently prohibited dietary components is screened according to the historical dietary information of the user, and a second prohibited food category is obtained.

In particular, the foods in the second prohibited food category are those that are not suitable for the user to ingest for a period of time, for example, the user sets a weight loss goal for himself, and then foods rich in fat and sugar are not suitable for the current user to ingest. The food which is not suitable for being ingested can be obtained from historical diet information of the user, for example, the diet habits of the user can be obtained from the historical diet information, and further, which food in the diet habits of the user is not suitable for being ingested by the user currently can be obtained.

Optionally, based on the intake amount of the currently prohibited intake component, urgency information corresponding to the second prohibited intake food category is obtained.

Specifically, since the intake of each of the currently prohibited dietary components is different, the effect of the food in the second prohibited dietary category that the user has already ingested is also different for the user. The urgency information corresponding to the second food intake prohibition type can prompt the user which foods with higher intake amount need to be stopped from being taken immediately, otherwise, the health of the user can be influenced; which food users have a relatively low intake can be adjusted to avoid health effects.

Optionally, any two of the recommended food categories do not conflict in the dietary components contained in the recommended food.

Specifically, two foods ingested by the user at the same time may contain mutually conflicting dietary components, thereby affecting the health of the user. In order to avoid this problem, the system may push to the user that the dietary components contained in any two recommended foods in the recommended food categories do not conflict with each other, for example, a plurality of recommended food lists may be provided to the user at the same time, the foods in each recommended food list contain dietary components that do not conflict with each other, and the foods containing mutually conflicting dietary components appear in different recommended food lists respectively, and the user may also know which foods contain conflicting dietary components in an identification manner, thereby providing more choices for the user.

The diet advice generation method in the embodiment of the present invention has been described above with reference to three parts. In the specific implementation process of the invention, the attribute information and the diet information of the user can be stored in the database of the system, so as to uniformly manage the collected data. When the intake analysis result is calculated, the system calls corresponding data from the database, and then obtains a diet suggestion according to the intake analysis result and pushes the diet suggestion to the user. The following is a detailed description of the database:

the database contains a standard library and a user library. The standard library comprises a diet component standard library and a health standard database, and the user library comprises a basic information library, a health information library, a historical diet information library and a target information library.

The dietary component standard library maintains a mapping between food and dietary components. Food items are classified into levels, for example, all food items can be roughly classified into the following general categories: staple foods, beans and products, eggs and products, meat and products, milk and products, vegetables, fruits, fungi and algae, nuts and products, beverages, oils and products, seasonings, snack snacks, dishes, and the like. In the case of beverages, they can be roughly classified into water type, tea type, alcoholic beverage, coffee type, cocoa type, fruit juice type, milky tea type, functional type, and the like. Taking coffee as an example, the coffee can be roughly classified into black coffee, white coffee, mocha coffee, latte coffee, macchiato, green tea coffee, black rose coffee, mandarin duck coffee, cappuccino, cocktail coffee, carbon-roasted coffee, and the like. According to the origin, it can be classified into kobacoffee, Brazilian coffee, Hawaii coffee, Kenya coffee, Java coffee, Manning coffee, amber coffee, mocha coffee, Mannba coffee, Ireland coffee, Vietnam coffee, Gosdenia coffee, Studuos coffee, Columbia coffee, Mexico coffee, Italian coffee, French coffee, Jamaica coffee, homemade coffee, etc. They are classified by brand into Nestle, Maifang, Starbucks, costas, etc.

The dietary components can be roughly divided into calorie, sugar, carbohydrate, fat, protein, dietary fiber, inorganic salts, riboflavin, phenol, nicotinic acid, calcium, phosphorus, potassium, sodium, iron, zinc, selenium, copper, manganese, cholesterol, vitamin ABCDE, etc.

The health standard information base comprises a range threshold of an intake interval of the dietary components and also comprises a recommendation value of the interval length N of the statistical period, namely, corresponding reference values are set according to the reflecting speed of different dietary components to health or diseases or the reflecting speed of users in different age stages or/and different health conditions to the health or diseases caused by the same dietary components, and the reference values of the interval length N of the corresponding statistical period can be obtained from the user when the user calculates the intake analysis result.

The basic information library stores basic information of the user, such as the genre (person, hardy dog, brachyury cat), sex, year and month of birth (age), height, weight, waist circumference, hip circumference, and the like.

The health information base stores health information of the user, such as history information of physical examination, disease, genetic disease, allergy, and the like.

The historical diet information base stores historical diet information of the user, namely records which foods are taken by the user in a past period of time.

The object information base stores object information set by a user, one object information may include a plurality of objects, and an object level may be set to indicate a priority level of each object.

Based on the database provided in the above embodiment of the present invention, the embodiment of the present invention further provides a system including the database, and the system further includes an information acquisition module, a diet component management module, and a diet advice generation module. In the following embodiments of the present invention, a method for generating a diet advice and a method for querying user information will be described with reference to the system.

As shown in fig. 7, it is a block diagram of a diet advice generating system, wherein the information collecting module includes a diet information collecting unit; the diet component management module comprises a diet component measuring unit, a diet component intake acquiring unit, a diet component intake calculating unit, a data acquiring unit and a diet component intake analyzing unit; the diet suggestion generation module comprises a diet suggestion generation unit and a diet suggestion push unit, and the modules and the units are used for executing the following steps:

s701, a diet information acquisition unit acquires a diet record of a user, converts the diet record into diet measurement information which can be identified by a system, and sends the diet measurement information to a diet component measurement unit;

s702, the diet component measuring unit inquires diet components contained in the diet measuring information from a diet component standard library;

s703, the diet component measuring unit obtains diet component information according to the diet measuring information and diet components contained in the diet measuring information, and stores the diet measuring information and the diet component information in a historical diet information base;

s704, the dietary component intake acquiring unit inquires dietary measurement information and dietary component information from the historical dietary information base and sends the information to the dietary component intake calculating unit;

s705, the dietary component intake calculation unit calculates daily average intake of the set dietary components of the user in the statistical period according to the dietary measurement information and the dietary component information, and sends the daily average intake to the dietary component intake analysis unit;

s706, the data acquisition unit inquires and sets an intake interval range threshold value of the dietary components from the health standard database and sends the threshold value to the dietary component intake analysis unit;

s707, the intake analysis unit of the dietary components generates intake analysis results according to the daily average intake of the set dietary components in the statistical period and the intake interval range threshold of the set dietary components, generates intake history average lines and sends the intake history average lines to the dietary suggestion generation unit;

s708, the diet suggestion generating unit generates diet suggestions according to the intake analysis result and sends the diet suggestions to the diet suggestion pushing unit;

and S709, pushing the diet suggestion to the user by the diet suggestion pushing unit.

Specifically, the diet information acquisition unit directly acquires from the user diet records, such as a bowl of rice, an apple, a dumpling and the like, which cannot be recognized by the system, so that the diet records need to be converted into diet measurement information which can be recognized by the system, namely the type, the total amount and the intake of the food, and then the diet measurement information is sent to the diet component measurement unit, the diet component measurement unit inquires which diet components are contained in each food from the diet component standard library according to the food contained in the diet measurement information of the user and the intake of each food, calculates the intake of the corresponding diet components, further obtains the diet component information, and then integrates the diet measurement information and the diet component information into the diet information of the user and stores the diet information in the historical diet information library.

Further, the diet component measuring unit may feed back the collected diet measuring information. If the diet record collected by the diet information collecting unit is complete, such as the name, the total amount and the intake of the food ingested by the user, the diet component measuring unit does not perform feedback and directly performs the corresponding function; if the diet record collected by the diet information collecting unit is incomplete, for example, one or a combination of the name, the total amount and the intake of the food ingested by the user is lacked, so that the diet component measuring unit cannot execute the corresponding function of the diet component measuring unit, the diet component measuring unit feeds back to the information collecting module, the information collecting module can prompt the user that the diet record is incomplete, after the user completes the supplement of the diet record, the diet information collecting unit collects and converts the diet into diet measuring information, and then the diet measuring information is sent to the diet component measuring unit, and the diet component measuring unit executes the corresponding function of the diet component measuring unit.

As shown in fig. 8, it is a block diagram of a structure of another diet advice generating system, in which the information collecting module includes an attribute information collecting unit and a diet information collecting unit; the diet component management module comprises a diet component measuring unit, a diet component intake acquiring unit, a diet component intake calculating unit, a data acquiring unit and a diet component intake analyzing unit; the diet suggestion generation module comprises a diet suggestion generation unit and a diet suggestion push unit, and the modules and the units are used for executing the following steps:

s801, an attribute information acquisition unit acquires basic information, health information and target information of a user and respectively stores the basic information, the health information and the target information into a basic information base, a health information base and a target information base; the diet information acquisition unit acquires the diet record of the user, converts the diet record into diet measurement information which can be identified by the system and sends the diet measurement information to the diet component measurement unit;

s802, the diet component measuring unit inquires diet components contained in the diet measuring information from the diet component standard library;

s803, the diet component measuring unit obtains diet component information according to the diet measuring information and diet components contained in the diet measuring information, and stores the diet measuring information and the diet component information in a historical diet information base;

s804, the dietary component intake acquiring unit inquires the dietary measurement information and the dietary component information from the historical dietary information base and sends the information to the dietary component intake calculating unit;

s805, calculating daily average intake of the set dietary components by the user in the statistical period according to the dietary measurement information and the dietary component information by the dietary component intake calculating unit, and sending the daily average intake to the dietary component intake analyzing unit;

s806, the data acquisition unit respectively inquires basic information, health information and target information of the user from the basic information base, the health information base and the target information base, then inquires and sets an intake interval range threshold of the dietary components from the health standard database of the user based on the basic information, the health information and the target information of the user, and sends the intake interval range threshold to the dietary component intake analysis unit;

s807, the intake analysis unit of the dietary components generates an intake analysis result according to the daily average intake of the set dietary components in the statistical period and the intake interval range threshold of the set dietary components, generates an intake history average line and sends the intake history average line to the dietary suggestion generation unit;

s808, generating a diet suggestion by the diet suggestion generating unit according to the intake analysis result and sending the diet suggestion to the diet suggestion pushing unit;

and S809, pushing the diet suggestion to the user by the diet suggestion pushing unit.

Specifically, unlike the first diet advice generating system, the second diet advice generating system provided by the embodiment of the present invention further collects basic information, health information, and target information of the user. Since the threshold value of the range of the interval of the intake of each dietary component by the user, which is obtained from the health standard database, is most accurate if all the attribute information of the user is known. If the data acquisition module does not inquire the attribute information input by the user from the basic information base, the health information base and the target information base, and the attribute information is not input by the user, the data acquisition unit can inquire the intake interval range threshold of the diet component of the average health standard from the health standard database according to the generation process of the first diet suggestion.

In addition, the basic information base, the health information base, the target information base and the historical diet information base can be combined into a user base for storing the attribute information and the diet information of the user without dividing the user base; the health standard information base and the food component standard information base can also be combined into a standard base for storing the health standard and the food component standard, and the standard base is not divided to simplify the architecture of the system.

As shown in fig. 9, a schematic view of a query process of user information is shown, and the query steps are as follows:

s901, a user sends a query request to an information acquisition module;

s902, the information acquisition module constructs a query parameter according to a query request of a user and sends the query parameter to the diet component management module;

s903, the diet component management module queries corresponding information from the basic information base, the health information base, the target information base, the historical diet information base, the health standard database and the diet component standard base according to the query parameters, and sends the queried information to the diet suggestion generation module;

and S904, the diet suggestion generation module generates a corresponding table or graph according to the inquired information and displays the table or graph to the user.

Specifically, the system provided by the embodiment of the invention comprises a client and a server, wherein the client temporarily stores the attribute information and the diet information of the user in a local storage module of the client after acquiring the attribute information and the diet information of the user for a period of time, and then uniformly uploads the attribute information and the diet information to the server for storage. The first query process of the user information provided by the embodiment of the invention is to directly acquire corresponding information from the local storage module of the client, so that the access amount to the server is reduced. The client may be an electronic device such as a mobile phone, a Pad, a notebook computer, a desktop computer, and the like, and the embodiment of the present invention is not limited.

As shown in fig. 10, a schematic diagram of a query flow of further user information is shown, in which the query steps are as follows:

s1001, a user sends a query request to an information acquisition module;

s1002, the information acquisition module constructs a query parameter according to a query request of a user and sends the query parameter to a server;

s1003, the server queries corresponding information from the basic information base, the health information base, the target information base, the historical diet information base, the health standard database and the diet component standard base according to the query parameters, and sends the queried information to the diet suggestion generation module;

and S1004, the diet suggestion generation module generates a corresponding table or graph according to the inquired information and displays the table or graph to the user.

Specifically, after new user attribute information and new diet information are input, the attribute information and diet information previously stored in the client local storage module may be limited by the storage capacity of the client local storage module and deleted, so that the query process of the second type of user information provided by the embodiment of the present invention may obtain corresponding information from the server, so that the user may know the previous information.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments.

Those skilled in the art will appreciate that the description of each embodiment has a respective emphasis, and reference may be made to the related description of other embodiments for those parts of an embodiment that are not described in detail.

Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A method of generating a dietary recommendation, comprising:

collecting diet information of a user;

2. The method of claim 1, wherein the attribute information of the user further comprises user basic information and user health information.

3. The method of claim 2, wherein the attribute information of the user is collected by at least one of direct collection, external import, and indirect collection.

4. The method of claim 3, wherein the collecting attribute information of the user by direct collection comprises:

the acquiring of the attribute information of the user by the external import mode comprises the following steps:

the collecting the attribute information of the user in an indirect collection mode comprises the following steps:

5. The method of claim 1, wherein the collecting the user's dietary information comprises:

6. The method of claim 5, wherein the food product comprises direct consumption food material and food material to be processed.

7. The method of claim 6, wherein collecting dietary information contained in the food purchased by the user from the consumption records generated by the user during the purchasing session comprises:

8. The method of claim 6, wherein collecting dietary information contained in food processed by the user during the processing session comprises:

9. The method of claim 6, wherein collecting dietary information contained in food consumed by the user during the dietary session comprises:

10. The method of claim 6, wherein collecting the user's dietary information comprises collecting the user's dietary metric information and dietary component information.

11. The method of claim 10, wherein the diet metric information includes a type, a total amount, and an intake of the food product.

12. The method of claim 11, wherein collecting the total amount of food product comprises:

13. The method of claim 12, wherein measuring the size of the food item comprises:

displaying scale information on a display screen of the electronic equipment to measure the size of the food according to the scale information; or

14. The method of claim 13, wherein displaying the scale information on the display screen of the electronic device comprises:

15. The method of claim 14, wherein collecting the food intake comprises:

16. The method of claim 15, wherein after said collecting the food intake, further comprising:

17. The method of claim 10, wherein the dietary information further includes at least one of dietary status information, dietary extension information, dietary safety information, and dietary assessment information;

the dietary safety information comprises at least one of a food production date, a food shelf life, and a notice;

18. A dietary advice generation apparatus, comprising:

the system comprises an attribute information acquisition unit, a data processing unit and a data processing unit, wherein the attribute information acquisition unit is used for acquiring attribute information of a user, the attribute information of the user comprises user basic information, user health information and user target information, and the user target information comprises at least one target level;

19. A computer arrangement, characterized in that the computer arrangement comprises a processor for implementing the steps of the diet advice generation method as claimed in any one of the claims 1 to 17 when executing a computer program stored in a memory.

20. A readable storage medium having stored thereon a computer program, characterized in that: the computer program when being executed by a processor realizes the steps of the diet advice generation method as defined in any one of the claims 1 to 17.