CN110827954A - Intelligent health menu recommendation system - Google Patents
Intelligent health menu recommendation system Download PDFInfo
- Publication number
- CN110827954A CN110827954A CN201810923205.5A CN201810923205A CN110827954A CN 110827954 A CN110827954 A CN 110827954A CN 201810923205 A CN201810923205 A CN 201810923205A CN 110827954 A CN110827954 A CN 110827954A
- Authority
- CN
- China
- Prior art keywords
- health
- user
- data
- menu
- information acquisition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000036541 health Effects 0.000 title claims abstract description 154
- 230000008859 change Effects 0.000 claims abstract description 48
- 238000000034 method Methods 0.000 claims abstract description 10
- 235000013305 food Nutrition 0.000 claims description 54
- 230000033001 locomotion Effects 0.000 claims description 43
- 239000000463 material Substances 0.000 claims description 35
- 238000010411 cooking Methods 0.000 claims description 18
- 235000012054 meals Nutrition 0.000 claims description 13
- 235000016709 nutrition Nutrition 0.000 claims description 7
- 235000005911 diet Nutrition 0.000 claims description 6
- 230000037213 diet Effects 0.000 claims description 5
- 239000004615 ingredient Substances 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 235000019787 caloric expenditure Nutrition 0.000 claims description 4
- 235000020785 dietary preference Nutrition 0.000 claims description 4
- 230000002093 peripheral effect Effects 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000002354 daily effect Effects 0.000 description 8
- 239000000047 product Substances 0.000 description 6
- 230000007774 longterm Effects 0.000 description 4
- 230000035764 nutrition Effects 0.000 description 4
- 210000000577 adipose tissue Anatomy 0.000 description 3
- 239000008280 blood Substances 0.000 description 3
- 210000004369 blood Anatomy 0.000 description 3
- 235000019577 caloric intake Nutrition 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 239000013589 supplement Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 235000021049 nutrient content Nutrition 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 235000013361 beverage Nutrition 0.000 description 1
- 210000001124 body fluid Anatomy 0.000 description 1
- 239000010839 body fluid Substances 0.000 description 1
- 235000021152 breakfast Nutrition 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 235000011494 fruit snacks Nutrition 0.000 description 1
- 235000013402 health food Nutrition 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
- 235000004280 healthy diet Nutrition 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 235000019643 salty taste Nutrition 0.000 description 1
- 235000019614 sour taste Nutrition 0.000 description 1
- 235000019654 spicy taste Nutrition 0.000 description 1
- 235000019605 sweet taste sensations Nutrition 0.000 description 1
- 235000019640 taste Nutrition 0.000 description 1
- 235000013619 trace mineral Nutrition 0.000 description 1
- 239000011573 trace mineral Substances 0.000 description 1
Images
Classifications
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Nutrition Science (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- 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 discloses an intelligent health menu recommending system, belongs to the field of intelligent home furnishing, and solves the problem that a menu recommending system in the prior art cannot meet the short-term change requirement of a user body. The intelligent health menu recommendation method is mainly used for intelligently recommending health menus.
Description
Technical Field
The invention relates to intelligent home furnishing, in particular to an intelligent health menu recommendation system.
Background
At the present stage, more and more young people in China, particularly office workers, pursue a portable life style, three meals a day are basically taken out to solve, and therefore health problems such as obesity and the like are becoming serious. More and more people are health conscious but lack of health knowledge and therefore desire professional support. With the improvement of health consciousness of people and the blind development of health food, the market situation is complicated and the false propaganda is rare. Smart home appliance manufacturers also attach importance to this social problem and actively seek solutions. Various prior arts have been developed to allow users to recommend a corresponding healthy diet according to their own conditions. For example, in the invention patent application CN106156535A, a method for processing food data is disclosed, in which basic information of a human body is obtained, a health status of the human body is determined according to the basic information of the human body, and then food is recommended according to the health status of the human body. For another example, patent application CN107705854A discloses a family health management system, in which a kitchen management terminal is mentioned, and searches a matching menu from its own database or network according to the body status keywords and season keywords of the user, and pushes the matching menu to the user through the liquid crystal display. Another example of the invention patent application CN108053871A discloses an intelligent nutrition recipe collocation system, wherein the daily family recipe is formed by combining the family nutrition demand data, the selection data, the body index data, the nutrition analysis data and the nutrition collocation data. It is known that improving the health condition by food is a long-term process, and the starting point of the above patent applications is to solve the food recommendation problem from the long-term improvement direction, and the corresponding menu cannot be recommended according to the calorie consumption of the user in a short time or some special situations.
Disclosure of Invention
The invention aims to provide an intelligent health menu recommendation system, which can be used for recommending a health menu according to the self health condition of a user and updating the health menu by combining the movement change data of the user within a certain time, so that the intelligent health menu recommendation system is more in line with the needs of daily life.
In order to achieve the purpose, the invention adopts the following technical scheme: an intelligent health menu recommendation system comprises an information acquisition unit, a cloud server and a menu pushing unit, wherein the information acquisition unit comprises a user basic information acquisition unit for acquiring basic health data of a user and uploading the basic health data to the cloud server, the cloud server obtains health difference data according to the comparison between the basic health data of the user and standard reference data, the cloud server screens out health menus according to the health difference data and sends the health menus to the menu pushing unit, the user acquires the health menus from the menu pushing unit to prepare edible dishes, the information acquisition unit also comprises a user motion information acquisition unit for acquiring motion change data of the user and uploading the motion change data to the cloud server, the cloud server receives the motion change data of the user through the user motion information acquisition unit and processes the motion change data of the user and the basic health data of the user at the previous time to acquire the health change data, and recommending a new health menu according to the health change data and sending the health menu to a menu pushing unit.
As a preferred scheme, the user information obtaining unit comprises a detector, and the user basic information obtaining unit obtains basic health data of the user through the detector when the user uses the user basic information obtaining unit; or the user basic information acquisition unit acquires the basic health data of the user through active input of the user.
Preferably, the user's basic health data includes one or more of age, gender, physical traits, dietary preferences, religious beliefs, and specific physical conditions.
As a preferred scheme, the information acquisition unit further comprises a food material information acquisition unit for acquiring the stocked food materials, and the cloud server preferentially recommends the health menu related to the stocked food materials according to the stocked food material information uploaded by the food material information acquisition unit after screening out the health menu.
As a further preferable scheme, the stock food materials comprise one or more of food materials of a household refrigerator, food materials sold in a peripheral supermarket and food materials sold in a cooperative fresh food supplier.
Preferably, the health menu comprises information including one or more of ingredients and dosage of dishes, total amount of dishes, nutrient content, total calorie and cooking method.
Preferably, the time interval for receiving the motion change data of the user by the cloud server is from the last meal to the next meal.
As a further preferable aspect, the exercise variation data includes daily caloric expenditure for the user to maintain daily life and exercise caloric expenditure for the user to exercise.
As a preferable scheme, the intelligent health menu recommendation system further comprises a self-service cooking unit, and the self-service cooking unit obtains the health menu selected by the user from the menu pushing unit to perform automatic cooking.
Preferably, the cloud server recommends a diet adjustment plan with a fixed period to the user according to the health difference data of the user, and performs correction and adjustment according to the health change data.
After the technical scheme is adopted, the invention has the following advantages: firstly, acquiring basic health data of a user by using a user basic information acquisition unit, then comparing the basic health data with standard reference data by using a cloud server to acquire health difference data, thereby acquiring the aspects of the physical condition of the user which need to be supplemented and adjusted by food, then screening out a health menu according to the health difference data and recommending the health menu to the user, then recommending the health menu of the next meal according to the health change data caused by the motion change data of the user within a certain time interval, because the motion change data is variable data and can change every day, optimizing and compensating the basic health data by using the motion change data, thereby realizing the automatic fine adjustment of the cycle optimization of the recommended health menu, and the user can timely supplement corresponding heat by food in short-time motion consumption, thereby accurately adjusting the physical condition of three meals a day, the accuracy of recommending the health menu is further improved, and the health condition of the user can be improved through food in long-term daily life.
Drawings
The invention will be further described with reference to the accompanying drawings in which:
FIG. 1 is a schematic diagram of a first embodiment of the present invention;
FIG. 2 is a schematic view of a second embodiment of the present invention;
fig. 3 is a schematic diagram of a third embodiment of the present invention.
Detailed Description
The first embodiment is as follows:
the invention provides a health menu intelligent recommendation system, as shown in figure 1, comprising an information acquisition unit, a cloud server 2 and a menu pushing unit 3, wherein the information acquisition unit comprises a user basic information acquisition unit 1 for acquiring basic health data of a user and uploading the basic health data to the cloud server 2, the cloud server 2 obtains health difference data according to the comparison between the basic health data of the user and standard reference data, the cloud server 2 screens out health menus according to the health difference data and sends the health menus to the menu pushing unit 3, the user acquires health menus from the menu pushing unit 3 to prepare edible dishes, the information acquisition unit further comprises a user motion information acquisition unit 4 for acquiring motion change data of the user and uploading the motion change data to the cloud server 2, the cloud server 2 receives the motion change data of the user through the user motion information acquisition unit 4 and processes the motion change data of the user and the basic health data of the user at the previous time to acquire the health change data, and then recommends a new health recipe according to the health change data and sends the health recipe to the recipe pushing unit 3.
Since the health menu intelligent recommendation system can only obtain the basic health data of the user when the user uses the health menu intelligent recommendation system for the first time, the basic health data of the user is obtained by the user basic information obtaining unit 1, and the health menu is compared with the standard reference data by the cloud server 2 to obtain the health difference data, so that the body condition of the user needs to be supplemented and adjusted by food in certain aspects, the health menu can be screened out according to the health difference data and recommended to the user, and then the health menu of the next meal is recommended according to the health change data caused by the motion change data of the user within a certain time interval, as the motion change data is variable data and can be changed every day, the motion change data can be used for carrying out optimization compensation on the basic health data, thereby realizing the automatic fine adjustment of the cycle optimization on the recommended health menu, the exercise consumption of the user in a short time supplements corresponding heat through food in time, so that the body health condition of the user can be accurately adjusted through the food after three meals a day, the accuracy of recommending the health menu is further improved, and the body health condition of the user can be improved through the food in long-term daily life.
For example, after a user gets up in the morning, the user basic information acquisition unit 1 acquires basic health data of the user and uploads the basic health data to the user basic information acquisition unit 1 of the cloud server 2, the cloud server 2 acquires health difference data of the current user and recommends nutritional breakfast, the user does not have other motions except normal body caloric consumption and only takes 1000 steps on work in a company in the morning, the user basic information acquisition unit 1 acquires the motion change data, the cloud server 2 recommends a health menu of a meal according to the health change data caused by the motion change data, the user swims for 1 hour at 4 pm, the user basic information acquisition unit 1 acquires the motion change data, and the cloud server 2 recommends a health menu of a dinner according to the health change data caused by the motion change data. In order to make the health change data more accurate, the user can also actively input information such as fruit snacks and beverages ingested during three meals a day, and the cloud server 2 performs compensation adjustment according to the information. A new user uses the system for the first time, can access the system through the smart phone, binds the user identity, and inputs some simple basic health data such as age, sex, height, weight and the like. The menu pushing unit 3 may be a smart phone, a tablet computer, or a smart appliance with a display screen, such as a range hood with a display screen and the like which are currently on the market. In addition, the user's underlying health data may also be obtained from a cooperative physical examination facility on-line, as long as the user authorizes it.
In order to reduce the operation of the user, the household appliance can automatically acquire the basic health data of the user during the use process of the user, so the user basic information acquisition unit 1 can be designed to comprise a detector, and the user basic information acquisition unit 1 acquires the basic health data of the user through the detector when the user uses the user basic information acquisition unit 1. Of course, the user basic information acquiring unit 1 may acquire the basic health data of the user by the active input of the user.
The user basic information acquisition unit 1 comprises one or more of a smart phone, a smart toilet, a smart body fat scale and a smart bracelet. The user's basic health data includes one or more of age, gender, physical traits, dietary preferences, religious beliefs, and specific physical conditions, which are data that do not change over a longer period of time. The physical characteristics can be understood as the common data of the body, such as height, weight, cold/hot constitution, high/low blood volume, and the like, the dietary preferences include light taste, sour, sweet, salty and spicy taste, meat preference, cooking preference, and the like, the religious belief can reject part of the food materials aiming at the dietary contraindication of specific religions, such as Buddhist, Muslim, and the like, and the special physical conditions can reject part of the food materials aiming at the users suffering from certain specific chronic diseases, such as hypertension, diabetics, and the like. Specifically, to obtain some simple basic health data or a few basic health data, it can be implemented by one product, and it is difficult to obtain more comprehensive basic health data of a user by one product alone, and a plurality of products are required to obtain the data together. Generally, a smart phone can be used for a user to actively input basic health data of the user and can also be used for detecting movement change data such as walking steps of the user every day, the intelligent toilet and the intelligent body fat scale can be used for detecting and acquiring the basic health data such as the weight and the body fat rate of the user, some intelligent toilets can also be used for detecting body fluid and acquiring the basic health data in the aspect of trace elements, and the intelligent bracelet can be used for acquiring the movement change data. Besides these products, other products commonly used in the market for detecting basic health data of human body, such as blood volume meter, blood sugar meter, etc., can be used. The user motion information obtaining unit 4 may be a smartphone, a smart band, or other common motion-related products, and may obtain motion change data of the user within a certain time period.
In order to make the user know the specific situation of the health menu acquired by the user clearly, the information contained in the health menu can comprise one or more of ingredients and dosage of dishes, total amount of the dishes, nutrient content, total calorie and cooking method. The more information contained in the health menu, the more the user naturally knows, and correspondingly, the more knowledge related to diet can be obtained, thereby achieving two purposes.
In order to enable the user to supplement the heat and the nutritional ingredients through the food more timely and accurately, the time interval for the cloud server 2 to receive the exercise variation data of the user may be set from the last meal to the next meal. For example, different groups of people have different motion change data, children have larger whole-day motion amount, and the elderly have relatively small motion amount, so that the time interval for acquiring the motion change data of the users can be associated according to the ages and living habits of different users, the length of the time interval does not need to be kept consistent, and the children can be more humanized and personalized. The exercise variation data includes daily calorie consumption for the user to maintain daily life and exercise calorie consumption for the user to exercise, so that the consumed calories can be supplemented more accurately by food.
In addition, for some users who want to lose weight or increase muscles but have no choice, the invention can also be used for realizing diet arrangement, the cloud server 2 recommends a diet regulation plan with a fixed period to the user according to the health difference data of the user, and carries out correction and adjustment according to the health change data, so that the health of the user can be helped to improve the physical condition efficiently.
Example two:
in order to facilitate users to obtain recommended recipes, the making trouble can be reduced, and the recommendation of health recipes containing difficult-to-obtain or expensive food materials is avoided, the recommended health recipes are automatically screened by obtaining inventory food material information, and the content can be added on the basis of the first embodiment, as shown in fig. 2, specifically, the information obtaining unit further comprises a food material information obtaining unit 5 for obtaining inventory food materials, and after the health recipes are screened by the cloud server 2, health recipes related to the inventory food materials are preferentially recommended according to the inventory food material information uploaded by the food material information obtaining unit 5. Thus, the user firstly sees a healthy menu related to the stored food materials, and most of the healthy menu are common dishes. The stock food materials comprise one or more of food materials of a household refrigerator, food materials sold in a peripheral supermarket and food materials sold by a cooperative fresh food supplier. An intelligent refrigerator in the market at present is a food material information acquisition unit 5, which can automatically identify food materials put into the refrigerator by a user, so that the data can be applied to a health menu intelligent recommendation system, the health menu recommendation accuracy is improved, and the use experience of the user is better. At present, the fresh food O2O is developed rapidly, a user places an order through a mobile phone, and peripheral commercial food passing fields and cooperative fresh food electronic merchants can deliver the goods to the home, so that the information of the food selling materials can be applied, and the life of the user is facilitated.
Example three:
on the basis of the above embodiment, in order to reduce the operation of the user, see fig. 3, on the basis of the second embodiment, the intelligent health recipe recommendation system further includes a self-service cooking unit 6, the self-service cooking unit 6 is also an existing intelligent cooker, for example, an intelligent pressure cooker, an intelligent cooking machine, and the like, and the self-service cooking unit 6 obtains the health recipe selected by the user from the recipe pushing unit 3 to perform automatic cooking. The user can control self-service cooking unit 6 through APP, select a key culinary art, and the system can also be according to these culinary art time and mode calculation and obtain because the heat variation numerical value that cooks and arouse.
In addition, the recipe pushing unit 3 may also be a component of the self-service cooking unit 6, for example, the display screen of the intelligent pressure cooker is the recipe pushing unit 3, so the self-service cooking unit 6 may also directly obtain the health recipe from the cloud server and then provide the health recipe for the user to select.
Of course, the embodiment may also add corresponding content on the basis of the first embodiment.
The system binds and identifies the identities of different users, so that the basic health data of different users cannot be crossed, the health menu can be recommended by taking the whole family as a unit, the cloud server 2 acquires the basic health data and the movement change data of all family members, and then the health menu which is suitable for being made and eaten by the whole family is integrated and recommended. Other embodiments of the present invention than the preferred embodiments described above, and those skilled in the art can make various changes and modifications according to the present invention without departing from the spirit of the present invention, should fall within the scope of the present invention defined in the claims.
Claims (10)
1. An intelligent health menu recommendation system comprises an information acquisition unit, a cloud server and a menu pushing unit, and is characterized in that the information acquisition unit comprises a user basic information acquisition unit for acquiring basic health data of a user and uploading the basic health data to the cloud server, the cloud server obtains health difference data according to the comparison between the basic health data of the user and standard reference data, the cloud server screens out health menus according to the health difference data and sends the health menus to the menu pushing unit, the user acquires the health menus from the menu pushing unit to prepare edible dishes, the information acquisition unit further comprises a user motion information acquisition unit for acquiring motion change data of the user and uploading the motion change data to the cloud server, the cloud server receives the motion change data of the user through the user motion information acquisition unit and processes the motion change data of the user and the basic health data of the user at the previous time to acquire the health change data, and recommending a new health menu according to the health change data and sending the health menu to a menu pushing unit.
2. The intelligent health menu recommendation system according to claim 1, wherein the user information acquisition unit comprises a detector, and the user basic information acquisition unit acquires basic health data of the user through the detector when the user uses the user basic information acquisition unit; or the user basic information acquisition unit acquires the basic health data of the user through active input of the user.
3. The intelligent health menu recommendation system according to claim 1, wherein the basic health data of the user comprises one or more of age, gender, physical traits, dietary preferences, religious beliefs, and specific physical conditions.
4. The intelligent health recipe recommendation system according to claim 1, wherein the information acquisition unit further comprises a food material information acquisition unit for acquiring inventory food materials, and the cloud server preferentially recommends health recipes related to the inventory food materials according to the inventory food material information uploaded by the food material information acquisition unit after screening out the health recipes.
5. The intelligent health recipe recommendation system according to claim 4, wherein the stock food materials comprise one or more of food materials of a family refrigerator, food materials sold at a peripheral supermarket and food materials sold at a cooperative fresh food supplier.
6. The intelligent health menu recommendation system according to claim 1, wherein the health menu comprises information including one or more of ingredients and usage amount of dishes, total amount of dishes, content of nutritional ingredients, total calories, and cooking method.
7. The intelligent health menu recommendation system according to claim 1, wherein the time interval for the cloud server to receive the motion change data of the user is from the last meal to the next meal.
8. The intelligent health menu recommendation system according to claim 1 or 7, wherein the exercise variation data comprises daily caloric expenditure for the user to maintain daily life and exercise caloric expenditure for the user to exercise.
9. The intelligent health menu recommendation system according to claim 1, further comprising a self-service cooking unit, wherein the self-service cooking unit obtains the health menu selected by the user from the menu pushing unit for automatic cooking.
10. The intelligent health menu recommendation system according to claim 1, wherein the cloud server recommends a fixed-period diet adjustment plan to the user according to the health difference data of the user, and performs correction and adjustment according to the health change data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810923205.5A CN110827954A (en) | 2018-08-14 | 2018-08-14 | Intelligent health menu recommendation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810923205.5A CN110827954A (en) | 2018-08-14 | 2018-08-14 | Intelligent health menu recommendation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110827954A true CN110827954A (en) | 2020-02-21 |
Family
ID=69547253
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810923205.5A Pending CN110827954A (en) | 2018-08-14 | 2018-08-14 | Intelligent health menu recommendation system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110827954A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112420162A (en) * | 2020-11-10 | 2021-02-26 | 广州富港万嘉智能科技有限公司 | Intelligent recipe recommendation method and device and intelligent cabinet |
| CN113643794A (en) * | 2021-08-06 | 2021-11-12 | 松下电器研究开发(苏州)有限公司 | Diet exercise management system and management method, intelligent refrigerator and intelligent refrigerator system |
| CN116739840A (en) * | 2023-08-14 | 2023-09-12 | 贵州优特云科技有限公司 | Travel package recommendation method, device and storage medium based on multi-objective group optimization |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1343929A (en) * | 2000-09-19 | 2002-04-10 | 王志刚 | Nutritive menu system for diabetics |
| CN104506629A (en) * | 2014-12-25 | 2015-04-08 | 广东美的厨房电器制造有限公司 | Food nutrition analysis and health management system |
| CN106228004A (en) * | 2016-07-19 | 2016-12-14 | 海尔优家智能科技（北京）有限公司 | A kind of healthy diet method for pushing and device, Smart Home server |
| CN106951708A (en) * | 2017-03-21 | 2017-07-14 | 吴秋蓬 | A kind of health diet automatic reminding system |
| CN107978357A (en) * | 2017-12-28 | 2018-05-01 | 华北理工大学 | Family's nutritious recipe automatic analysis system |
-
2018
- 2018-08-14 CN CN201810923205.5A patent/CN110827954A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1343929A (en) * | 2000-09-19 | 2002-04-10 | 王志刚 | Nutritive menu system for diabetics |
| CN104506629A (en) * | 2014-12-25 | 2015-04-08 | 广东美的厨房电器制造有限公司 | Food nutrition analysis and health management system |
| CN106228004A (en) * | 2016-07-19 | 2016-12-14 | 海尔优家智能科技（北京）有限公司 | A kind of healthy diet method for pushing and device, Smart Home server |
| CN106951708A (en) * | 2017-03-21 | 2017-07-14 | 吴秋蓬 | A kind of health diet automatic reminding system |
| CN107978357A (en) * | 2017-12-28 | 2018-05-01 | 华北理工大学 | Family's nutritious recipe automatic analysis system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112420162A (en) * | 2020-11-10 | 2021-02-26 | 广州富港万嘉智能科技有限公司 | Intelligent recipe recommendation method and device and intelligent cabinet |
| CN113643794A (en) * | 2021-08-06 | 2021-11-12 | 松下电器研究开发(苏州)有限公司 | Diet exercise management system and management method, intelligent refrigerator and intelligent refrigerator system |
| CN116739840A (en) * | 2023-08-14 | 2023-09-12 | 贵州优特云科技有限公司 | Travel package recommendation method, device and storage medium based on multi-objective group optimization |
| CN116739840B (en) * | 2023-08-14 | 2023-11-14 | 贵州优特云科技有限公司 | Travel package recommendation method, device and storage medium based on multi-objective group optimization |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20180233064A1 (en) | Nutrition scoring system | |
| US8777624B2 (en) | Wellness and weight management system and method | |
| US20070050058A1 (en) | Placemat for calculating and monitoring calorie intake | |
| US20090275002A1 (en) | Nutrition informatics method | |
| US20120088212A1 (en) | Computerized system for addiction control especially calorie, diet and weight control | |
| KR101552339B1 (en) | Apparatus and method for servicing personalized food menu and foods purchase able to feedback | |
| JP6566371B1 (en) | Information processing system, information processing apparatus, information processing method, and program | |
| JP2013507713A (en) | System for assessing food intake and method of using the system | |
| CN110265114A (en) | Nutrition intelligent management system | |
| CN109300524A (en) | Information recommendation method and device | |
| CN110827954A (en) | Intelligent health menu recommendation system | |
| US20220230730A1 (en) | Recipe recommendation method and device, computing device and storage medium | |
| KR20130102239A (en) | Healthy food menu extraction and providing system | |
| WO2005093633A2 (en) | A method for supporting dietary habits, a system and a computer program therefor | |
| US20150235562A1 (en) | Wellness and weight management system and method | |
| CN110459295A (en) | A kind of healthy diet management method | |
| CN107705837A (en) | Select recommendation method, equipment and the system of meal | |
| JP2003248725A (en) | Method and system for assisting dietary life | |
| KR20090124704A (en) | A data standardization method of calory and nutrient of food and an information supply method utilizing the it | |
| JP6776034B2 (en) | Food information provision system, food information provision method, and food information provision program | |
| KR20210023679A (en) | Method for provide a dietary service for seniors in nursing facilities capable of designing a periodic diet | |
| JP7374579B2 (en) | Shopping support system, shopping support server, program and user terminal. | |
| CN110875089B (en) | Recipe recommendation method based on cooking history record and cooking kitchen electric | |
| JP2020107096A (en) | System, device, method, and program for suggesting menu | |
| JP2018185791A (en) | Health management support system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200221 |
|
| RJ01 | Rejection of invention patent application after publication |