CN116525065A - Household healthy diet management method and system - Google Patents
Household healthy diet management method and system Download PDFInfo
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- CN116525065A CN116525065A CN202310485600.0A CN202310485600A CN116525065A CN 116525065 A CN116525065 A CN 116525065A CN 202310485600 A CN202310485600 A CN 202310485600A CN 116525065 A CN116525065 A CN 116525065A
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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- Health & Medical Sciences (AREA)
- Nutrition Science (AREA)
- Engineering & Computer Science (AREA)
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- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the technical field of diet management, in particular to a method and a system for managing family health diet, wherein the server comprises a user information acquisition module, a food analysis module and a diet recommendation module; the user information acquisition module is used for acquiring user information of a user; the food information acquisition module is used for acquiring food data purchased by a user and extracting food information; the food analysis module is used for identifying food nutrition components according to the food information; and the recipe recommendation module is used for generating a recipe recommendation scheme with balanced nutrition according to the information of the user and the nutritional ingredients of the food.
Description
Technical Field
The invention relates to the technical field of diet management, in particular to a method and a system for managing family health diet.
Background
Healthy diet is important for people, and is to select various foods with proper quantity so as to provide various nutrients and proper heat to maintain the growth and metabolism of body tissues, enhance immunity, resistance and approximately moderate weight, and eat according to the proportion of a 'diet pyramid' and drink enough water every day to promote health, balance diet and make the body work normally, help to resist diseases, enable people to feel full at any time and maintain ideal weight.
Therefore, for healthy collocation of foods, balanced nutrition management is necessary for people. The balanced nutrition means that foods are reasonably matched, wherein the reasonable matching comprises coarse and fine matching, meat and vegetable matching, acid-base matching and the like, and diversified foods are selected to be prepared to prepare reasonable diet, so that the nutrients are complete, and the proportion is proper to meet the needs of human bodies.
However, for ordinary people, only rough knowledge is provided about nutrients contained in foods, and balanced matching of nutrients in foods often requires special nutritional operators to match. The current health management system can also give food collocation recommendation, but all the health management systems recommend fixed dishes to the user according to the physical indexes of the user, and the recommended dishes may not be favorite dishes of the user, so that the user is difficult to adhere to.
Disclosure of Invention
The technical problem solved by the invention is to provide a method and a system for managing family health diet, which can carry out balanced nutrition management on food loved by a user.
The basic scheme provided by the invention is as follows: the household healthy diet management system comprises a server, wherein the server comprises a user information acquisition module, a food analysis module and a diet recommendation module;
the user information acquisition module is used for acquiring information of a user;
the food information acquisition module is used for acquiring food data purchased by a user and extracting related information such as food nutrition components;
the food analysis module is used for identifying food nutrition components according to the food information;
and the recipe recommendation module is used for generating recipe recommendation with balanced nutrition according to the information of the user and the food nutrition.
The principle and the advantages of the invention are as follows: firstly, acquiring user information, acquiring food and food material information purchased by a user after the user purchases food and food material every day, and identifying nutritional ingredients in the food purchased by the user. And then combining the user information to generate customized balanced-nutrition recipe recommendation according to the purchased food.
Compared with the prior art, the method has the following advantages:
1. and carrying out recipe recommendation according to the food purchased by the user instead of directly carrying out recipe recommendation and then allowing the user to purchase the corresponding food. When a user purchases food, the user usually purchases favorite food preferentially, so that nutrition component analysis is performed according to the food purchased by the user, and a recipe with balanced nutrition is generated according to the result of the nutrition component analysis.
Further, the food information acquisition module comprises a receipt acquisition module, an online shopping acquisition module, an image acquisition module and an information extraction module, and can acquire data such as nutritional ingredients of food purchased by a user conveniently.
The receipt identification module is used for acquiring shopping receipt photos uploaded by the client and extracting food data in the shopping receipt through character identification;
the online shopping acquisition module is used for acquiring online shopping data of a user and extracting purchased food data from the online shopping data;
the image acquisition module is used for acquiring image data of food and identifying the food data according to the image data;
and the information extraction module is used for extracting the type and the number of the food which are newly acquired after the food data are newly acquired.
The food information can be acquired by identifying the food through a receipt, and if the user is the food purchased in the supermarket, the name, weight or number of each food is written in the supermarket receipt. By identifying the text in the ticket, the food data can be identified through the shopping ticket. If the user purchases the food in the form of online shopping and takeout, the online shopping data of the user can be called through the interface, and the food data can be extracted. If the user purchases food in the vegetable market, the user can also upload the pictures of the purchased food by shooting the images under the condition that no tickets have no online purchase records, and the food types are identified in a picture analysis mode, so that the user fills in the quantity of the food correspondingly. The information extraction module determines the type of food purchased by the user and the quantity of the food according to the information in the receipt, the information in the online shopping record and the information in the image extraction, so that the food analysis module analyzes the nutritional ingredients according to the type of the food and the quantity of the food. Food data is acquired in various modes, application scenes are added, and food purchased by a user in various channels can be identified.
Further, the user information acquisition module comprises a user binding module;
the user binding module is used for obtaining user information through the client and binding the user information with the client number for uploading the user information, wherein the user information comprises age, body index data, height, weight and user number; corresponding preamble modification
The user selection module is used for selecting the users of each meal from the users bound with the client and determining the staff of each meal;
and the recipe recommendation module is used for generating recipe recommendation according to the user information and the food information of each dining personnel, wherein the recipe recommendation comprises the dish types and the dish quantity of each meal.
There may be a plurality of users in one home, the users are bound by the user binding module, and user information of the users is entered and bound. And when the meal recommendation module is used, the meal personnel of the meal can be selected, the recipe recommendation module generates a recipe recommendation of the meal according to the user information of the selected meal personnel and the purchased recipe data, and the dishes eaten by the meal and the quantity of the dishes are determined. Therefore, when different diners exist, different recipe recommendations can be generated according to the difference of the user information of the diners.
Further, the recipe recommendation module comprises a demand analysis module and a recipe generation module;
the demand analysis module is used for generating nutritional ingredient intake demands according to the user information of each dining personnel;
and the recipe generation module generates recipe recommendation according to the nutrient component intake requirement and the food nutrient component.
After determining the dining staff, analyzing the intake requirement of the nutritional ingredients of all people according to the number of the dining staff and the user information, and generating recipe recommendation according to the nutritional ingredients contained in the food purchased by the user on the same day.
Further, the recipe recommendation module further comprises a component supplementing module;
and the component supplementing module is used for generating a component supplementing menu when the nutrient components of the purchased food do not meet the nutrient component intake requirements, wherein the component supplementing menu comprises dishes which can supplement the missing nutrient components due to other factors.
When the nutrient components of the acquired and purchased recipes do not meet the intake requirement, a component supplementing recipe is generated, dishes which can supplement the nutrient components exist in the component supplementing recipe, for example, sugar is insufficient in the daily food, sugar and vinegar spareribs can be added in recipe recommendation to increase the sugar, if the fat is insufficient, high-calorie food can be generated, and the balance of the nutrient components is ensured by a cooking mode or a part which is lack of seasoning supplementation. The usual recipe recommendation systems are all recommended for healthy recipes, but not for high calorie, high sugar foods. In the scheme, when the nutritional ingredients in the purchased food are lower than the intake requirement, two high-calorie and high-sugar classified foods can be properly added, so that the nutrition collocation is ensured, and the taste of a user can be met.
Further, the server also comprises a dish information acquisition module and a diet analysis module;
the dish information acquisition module is used for acquiring edible dishes of a user and judging whether the edible dishes comprise dishes in recipe recommendation or not;
the diet analysis module is used for analyzing the diet preference of the user according to the edible dishes of the user when the ratio of the dishes in the recommended recipes in the edible dishes of the user is lower than a preset ratio threshold value, and judging whether the diet preference of the user is healthy diet;
and the recipe recommendation module is also used for generating recipe recommendation according to the user information, the diet preference of the user and the food information when the diet preference of the user is healthy diet.
After the user finishes making dishes, the dishes made by the user are obtained, and whether the dishes made by the user contain dishes in the recipe recommendation or not and the quantity of the dishes are judged. When the dishes in the recipe recommendation occupy a small amount, the user is not loved in the dishes in the recipe recommendation, so that the favorite eating tastes of the user are analyzed according to the dishes manufactured by the identified user, whether the eating tastes are healthy eating tastes is judged, if so, in the subsequent recommendation, the user is recommended according to the user's taste, and the user experience is better.
Further, the server also comprises a staged health analysis module and an optimization adjustment module
The staged health analysis module is used for acquiring the body index change trend of the user in each analysis period according to the preset analysis period;
and the optimization and adjustment module is used for adjusting the nutrient components recommended by the recipes according to the change trend of the body indexes.
Further, the user information acquisition module further comprises a medical history acquisition module, and the server further comprises a contraindication analysis module and an alarm module;
the user binding module is also used for acquiring real name information of the user;
the medical history acquisition module is used for acquiring the history medical record of the user and the health condition data of the physical examination report according to the real name information of the user;
the food-repellent analysis module is used for analyzing food-repellent of the user according to the history medical records of the user;
and the alarm module is used for generating alarm information and sending the alarm information to the client when the food information contains the food which is contraindicated to the user.
According to the method, real name information of a user is obtained, historical medical records of the user are found according to the real name information, whether food with a contraindication is available to the user is determined according to the historical medical records of the user, if the food with the contraindication is available to the user, when the food with the contraindication is obtained, the client side alarms, and the user is prevented from eating by mistake.
Further, the server also comprises a meal remaining amount acquisition module and a sub-health judgment module;
the meal remaining amount acquisition module is used for acquiring the remaining amount and the remaining items of the edible dishes after the user finishes the meal, and analyzing the eating amount of the user;
the sub-health judging module is used for judging whether the user has diseases or not according to the historical medical records of the user when the intake of the user is lower than a preset intake threshold value, and judging that the user is in a sub-health state when the user has no diseases;
and the recipe recommendation module is used for recommending the sub-health conditioning recipes when judging that the user is in the sub-health state and recommending the recipes.
And analyzing the eating amount of the user by acquiring the residual amount and the residual category of the dishes after the meal of the user. If the consumption of the user is small, the loss of appetite of the user is indicated, and if the loss of appetite of the user is long-term, the user can be in a sub-health state. Therefore, when the consumption of the user is small, the user can obtain whether the historical medical record of the user has diseases or not, if the historical medical record has no diseases, the user can be in a sub-health state, and the sub-health state can cause the user to have symptoms of discomfort, listlessness, appetite reduction and the like, and can not check what diseases exist. Therefore, when the consumption of the user is small and the user has no diseases, the user is judged to be in a sub-health state, and a sub-health conditioning recipe is recommended when the recipe is generated.
The invention also discloses a household health diet management method, which uses the household health management system.
Drawings
FIG. 1 is a logic block diagram of an embodiment of a home health food management system of the present invention;
FIG. 2 is a logic block diagram of a user information acquisition module of an embodiment of the home health food management system of the present invention;
FIG. 3 is a logic block diagram of a food information acquisition module of an embodiment of the home healthy diet management system of the present invention;
FIG. 4 is a logic block diagram of a recipe recommendation module of an embodiment of the home health food management system of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figure 1:
the household healthy diet management system comprises a server and a client, wherein the server comprises a user information acquisition module, a food information acquisition module, a dish acquisition module, a meal remaining amount acquisition module, a food analysis module, a diet analysis module, a sub-health analysis module, a contra-diet analysis module, an alarm analysis module and a recipe recommendation module.
And the user information acquisition module is used for acquiring the user information of the user. Specifically, the user information acquisition module is shown in fig. 2, and includes a user binding module, a user selection module and a medical history acquisition module. The user binding module is used for acquiring user information of a user through the client and binding the user information with the client number for uploading the user information, wherein the user information comprises age, body index data, elevation, weight and user number. Specifically, in this embodiment, the client is an intelligent terminal, and in other embodiments of the present application, the client may also be a mobile phone APP. The intelligent terminal is connected with the server network, age, physical index data, lifting and weight of the user are input through the intelligent terminal, and the client generates user numbers according to the user sequence of the input user information. And the user selection module is used for selecting the user of each dining from the users bound with the client and determining each dining personnel. Specifically, before preparing each meal, the intelligent terminal selects the user for eating the meal. For example, 3 persons exist in a household, the 3 persons are bound with the client through the client uploading the personnel information, the client comprises a user A, a user B and a user C, the dinner person comprises a user A through the intelligent terminal in noon, and the dinner person comprises a user A, a user B and a user C through the intelligent terminal. The user binding module is also used for acquiring real name information of the user, and can specifically complete real name verification by overscan user identity cards, and after acquiring the real name information, the user binding module accesses the internal systems of all hospitals through the medical history acquisition module and searches the history medical record of the user according to the real name information authorized by the user.
The food information acquisition module is used for acquiring food data purchased by a user and extracting food information, and as shown in fig. 3, the food information acquisition module comprises a receipt identification module, an online purchase acquisition module, an image acquisition module and an information extraction module. Specifically, the receipt identification module is used for acquiring the receipt photo uploaded by the client and extracting food data in the shopping receipt through character identification. If the user is food purchased in the supermarket, the user directly shoots and uploads the photo of the shopping ticket through the intelligent terminal, and the ticket identification model extracts food data in the shopping ticket through character identification and semantic identification. The online shopping acquisition module is used for acquiring online shopping data of the user, extracting purchased food data through the online shopping data, acquiring the online shopping data of the user through the interface access network shopping platform, and extracting the food data in the online shopping data, wherein if the user is food purchased at the online shopping platform, the food data purchased by the user can be directly called. The image acquisition module is used for acquiring image data of the food, identifying the food data according to the image data, and determining the food data by analyzing the type and the number of the food in the image through image identification. If the user is a dish purchased in the vegetable market, the food data can be determined by uploading the image under the condition that no receipt is available and no online purchase record is available. And the information extraction module is used for extracting the type and the number of the food which are newly acquired after the food data are newly acquired. Based on the extracted food data, the total purchased food category and the weight of each food category are determined.
The food analysis module is used for identifying food nutrition components according to food information, and in the embodiment, the identified nutrition components comprise carbohydrate, fat, protein, vitamin, water, inorganic salt, energy and sugar. The content of each type of nutrient is calculated according to the weight of each type of food and the contained nutrient.
And the recipe recommendation module is used for generating recipe recommendation according to the user information and the food information of each dining personnel, wherein the recipe recommendation comprises the dish types and the dish quantity of each meal. Specifically, as shown in fig. 4, the recipe recommendation module includes a requirement analysis module, a recipe generation module, and a component supplement module.
And the demand analysis module is used for generating nutrient component intake demands according to the user information of each dining personnel. Specifically, since user information of each user is input in advance, a diner is selected at the time of dining. After determining the meal taker, determining the nutritional intake need based on the age and weight of the meal taker, e.g., 1.8-2.7 g/kg body weight daily for an adult; 25-35 g/kg body weight, and not less than 20 g fat; 250-400 g/kg body weight, carbohydrates, etc., each meal comprising one third to two thirds of the total daily intake requirement. In addition, the intake demands of the users can be adjusted according to other user information, for example, if the BMI (body mass index) of the users is obesity, the income amount of fat and carbohydrate is reduced, and the recipe generation module generates recipe recommendation according to the input demands of the nutrition components and the nutrition components of food. Specifically, according to the content of the nutritional ingredients protected by various foods and the requirement amount ingested by a user, recipe recommendation is generated, so that the finally formed dishes are in the fluctuation range of the requirement of the ingestion of various nutritional ingredients.
And the component supplementing module is used for generating a component supplementing menu when the nutrient components of the purchased food do not meet the nutrient component intake requirements, wherein the component supplementing menu comprises dishes which can supplement the missing nutrient components due to other factors. Specifically, other factors include factors such as cooking mode and seasoning in the food manufacturing process, for example, sugar is insufficient in the food on the same day, sweet and sour spareribs can be added in recipe recommendation to increase sugar, if fat is insufficient, high-calorie food can be generated, and the missing part is supplemented by the cooking mode or the seasoning, so that balance of nutrition ingredient collocation is ensured. The usual recipe recommendation systems are all recommended for healthy recipes, but not for high calorie, high sugar foods.
And the dish acquisition module is used for acquiring edible dishes of a user and judging whether the edible products comprise dishes in the recommended recipe or not. Specifically, after the user finishes making dishes, the intelligent terminal shoots the dishes made by the user, and distinguishes the types of the dishes through image recognition, and judges whether the dishes made by the user comprise dishes in recipe recommendation or not and the ratio of the number of the dishes in recipe recommendation to the number of the dishes in the user. And the diet analysis module is used for analyzing the diet preference of the user according to the edible dishes of the user when the ratio of the dishes in the recommended recipes in the edible dishes of the user is lower than a preset ratio threshold value, and judging whether the diet preference of the user is healthy diet. Specifically, when the duty ratio threshold is seventy percent in the embodiment, when the duty ratio is lower than the threshold, the eating preference of the user is analyzed according to the edible dishes of the user. For example, if the user determines that the user wants to eat dumplings, but the recommended vegetables are not in the user's eating dishes, the next time food recommendation is made, the user is recommended to add vegetables to the dumpling filling.
And the food-repellent analysis module is used for acquiring and analyzing food-repellent of the user according to the history medical records of the user. For example, if gout exists in the history of the user, the food with no food is food with high purine. When the high-purine food exists in the purchased dishes, alarm information is generated and sent to the client, so that the user is prevented from eating the food with the contraindications.
The meal remaining amount acquisition module is used for acquiring the remaining amount and the remaining variety of the edible dishes after the user finishes eating, and analyzing the eating amount of the user. After the user finishes eating, the image after eating is shot through the intelligent terminal, and the sub-health judging module is used for judging that when the intake of the user is lower than a preset intake threshold, in the embodiment, the intake threshold is 70% of the lowest intake of the user. If the intake of the user is lower than 70% of the minimum intake, judging whether the user has diseases according to the historical medical records of the user, judging that the user is in a sub-health state when the user has no diseases, and recommending a sub-health conditioning recipe when the user is in the sub-health state, such as supplementing vitamin C and vitamin A, increasing the quantity of fruits and vegetables in food and eating less acid food such as meat.
The embodiment also discloses a household health diet management method, which uses the household health management system.
The foregoing is merely exemplary of the present invention, and the specific structures and features well known in the art are not described in any way herein, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which this invention pertains, without the general knowledge of the skilled person in the field, before the application date or the priority date, to practice the present invention, with the ability of these skilled persons to perfect and practice this invention, with the help of the teachings of this application, with some typical known structures or methods not being the obstacle to the practice of this application by those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (10)
1. A family health diet management system, characterized by: the method comprises the following steps: the system comprises a server, wherein the server comprises a user information acquisition module, a food analysis module and a recipe recommendation module;
the user information acquisition module is used for acquiring user information of a user;
the food information acquisition module is used for acquiring food data purchased by a user and extracting food information;
the food analysis module is used for identifying food nutrition components according to the food information;
and the recipe recommendation module is used for generating recipe recommendation with balanced nutrition according to the user information of the user and the food nutrition ingredients.
2. A family health diet management system according to claim 1, wherein: the food information acquisition module comprises a receipt acquisition module, an online shopping acquisition module, an image acquisition module and an information extraction module;
the receipt identification module is used for acquiring shopping receipt photos uploaded by the client and extracting food data in the shopping receipt through character identification;
the online shopping acquisition module is used for acquiring online shopping data of a user and extracting purchased food data through the online shopping data;
the image acquisition module is used for acquiring image data of food and identifying the food data according to the image data;
and the information extraction module is used for extracting the type and the number of the food which are newly acquired after the food data are newly acquired.
3. A family health diet management system according to claim 2, wherein: the user information acquisition module comprises a user binding module;
the user binding module is used for acquiring user information through the client and binding the user information with the client number for uploading the user information, wherein the user information comprises age, height, weight, work type, physical index data and user number;
the user selection module is used for selecting the users of each meal from the users bound with the client and determining the staff of each meal;
and the recipe recommendation module is used for generating recipe recommendation according to the user information and the food information of each dining personnel, wherein the recipe recommendation comprises the dish types and the dish quantity of each meal.
4. A home health food management system according to claim 3, characterized in that: the recipe recommendation module comprises a demand analysis module and a recipe generation module;
the demand analysis module is used for generating nutritional ingredient intake demands according to the user information of each dining personnel;
and the recipe generation module generates recipe recommendation according to the nutrient component intake requirement and the food nutrient component.
5. The home health food management system of claim 4, wherein: the recipe recommendation module further comprises a component supplementing module;
and the component supplementing module is used for generating a component supplementing menu when the nutritional components contained in the purchased food do not meet the nutritional component intake requirements of family members, wherein the component supplementing menu contains dishes which can supplement the lacking nutritional components due to other factors.
6. The home health food management system of claim 4, wherein: the server also comprises a dish acquisition module and a diet analysis module;
the dish acquisition module is used for acquiring edible dishes of a user and judging whether the edible dishes comprise dishes in a recommended recipe or not;
the diet analysis module is used for analyzing the diet preference of the user according to the edible dishes of the user when the ratio of the dishes in the recommended recipes in the edible dishes of the user is lower than a preset ratio threshold value, and judging whether the diet preference of the user is healthy diet;
and the recipe recommendation module is also used for generating recipe recommendation according to the user information, the diet preference of the user and the food information when the diet preference of the user is healthy diet.
7. The home health food management system of claim 6, wherein:
the server also comprises a staged health analysis module and an optimization adjustment module
The staged health analysis module is used for acquiring the body index change trend of the user in each analysis period according to the preset analysis period;
and the optimization and adjustment module is used for adjusting the nutrient components recommended by the recipes according to the change trend of the body indexes.
8. A family health diet management system according to claim 7, wherein: the user information acquisition module further comprises a medical history acquisition module, and the server further comprises a contraindication analysis module and an alarm module;
the user binding module is used for acquiring real name information of a user;
the medical history acquisition module is used for acquiring the historical medical history of the user or the health condition data of physical examination by combining the real name information of the user;
the food-repellent analysis module is used for analyzing food-repellent of the user according to the history medical records of the user;
and the alarm module is used for generating alarm information and sending the alarm information to the client when food with user contraindications in the food information is obtained.
9. A method of managing a family health diet according to claim 8, wherein: the server also comprises a meal remaining amount acquisition module and a sub-health judgment module;
the meal remaining amount acquisition module is used for acquiring the remaining amount and the remaining items of the edible dishes after the user finishes the meal, and analyzing the eating amount of the user;
the sub-health judging module is used for judging whether the user has diseases or not according to the historical medical records of the user when the intake of the user is lower than a preset intake threshold value, and judging that the user is in a sub-health state when the user has no diseases;
and the recipe recommendation module is also used for recommending the sub-health conditioning recipes when judging that the user is in the sub-health state and recommending the recipes.
10. A method for managing a healthy diet of a household, characterized by: use of a home health food management system according to any of claims 1-9.
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| CN202310485600.0A CN116525065A (en) | 2023-04-28 | 2023-04-28 | Household healthy diet management method and system |
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