CN117409927A - Personalized automatic meal distribution system and meal distribution method based on big data nutrition meal - Google Patents
Personalized automatic meal distribution system and meal distribution method based on big data nutrition meal Download PDFInfo
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- CN117409927A CN117409927A CN202311338391.3A CN202311338391A CN117409927A CN 117409927 A CN117409927 A CN 117409927A CN 202311338391 A CN202311338391 A CN 202311338391A CN 117409927 A CN117409927 A CN 117409927A
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- 235000012054 meals Nutrition 0.000 title claims abstract description 135
- 235000016709 nutrition Nutrition 0.000 title claims abstract description 55
- 230000035764 nutrition Effects 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000009826 distribution Methods 0.000 title claims description 10
- 238000001514 detection method Methods 0.000 claims abstract description 31
- 230000033001 locomotion Effects 0.000 claims abstract description 28
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 4
- 210000000577 adipose tissue Anatomy 0.000 claims description 12
- 210000004556 brain Anatomy 0.000 claims description 12
- 238000003860 storage Methods 0.000 claims description 8
- 238000002360 preparation method Methods 0.000 claims description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 6
- 239000008280 blood Substances 0.000 claims description 6
- 210000004369 blood Anatomy 0.000 claims description 6
- 230000036772 blood pressure Effects 0.000 claims description 6
- 230000004060 metabolic process Effects 0.000 claims description 6
- 229910052760 oxygen Inorganic materials 0.000 claims description 6
- 239000001301 oxygen Substances 0.000 claims description 6
- 201000001421 hyperglycemia Diseases 0.000 claims description 4
- 208000031226 Hyperlipidaemia Diseases 0.000 claims description 3
- 238000010411 cooking Methods 0.000 claims description 3
- 210000003205 muscle Anatomy 0.000 claims description 3
- 230000001815 facial effect Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 230000037213 diet Effects 0.000 description 7
- 235000005911 diet Nutrition 0.000 description 7
- 230000006872 improvement Effects 0.000 description 7
- 235000013305 food Nutrition 0.000 description 5
- 206010020710 Hyperphagia Diseases 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The invention relates to a personalized automatic meal preparing system and a meal preparing method thereof based on big data, wherein the meal preparing system comprises: the acquisition module is used for acquiring and storing basic data of a user to be detected; the detection module is used for detecting the physical condition of the user; the meal matching module is used for matching the nutrition meal for the user according to the data of the detection module and generating a heat meter and a nutrition meter; the meal suggestion module is used for matching three meal suggestions for the user according to the data of the detection module and recording meal formation calorimeter and nutrition meter; the system is beneficial to matching proper meal for the user according to the basic data and the detection data of the user, giving corresponding movement advice according to the matched meal, integrating body data, meal data and movement data into a whole, monitoring the physical condition of the user in real time, and matching the meal and movement according to the user requirement.
Description
Technical Field
The invention relates to a personalized automatic meal distribution system and a meal distribution method based on big data.
Background
Since ancient times, people advocated to pay attention to the diet content and the eating mode, namely, to pay attention to the comprehensive diet, and also advocate the fact that the diet is taken together, and meanwhile, the diet is different from time to time, from place to place, from person to person and from disease to disease, and the diet is required to be checked and used and the diet is required to be distinguished. Modern nutrition theory is mature gradually, and with the progress of society, people have more and more demands on physical examination, more and more importance is placed on physical examination privacy of people, and more demands on diet.
However, the existing physical examination matching nutrition meal is quite long, people with special requirements for nutrition meal are difficult to take care of, the people often do not know how to match proper nutrition meal, mistakes, excessive eating or little eating are easy, self-matched nutrition is difficult to match proper nutrition meal, the requirements of rehabilitation personnel, pregnant personnel, hyperglycemia personnel and the like for nutrition meal are different, the individual differences are not organically combined with nutrition related theory, and therefore the problems are solved based on a big data nutrition meal personalized automatic matching system and a matching method thereof.
Disclosure of Invention
To solve the above-mentioned technical problems, a first object of the present invention is to provide a personalized automatic catering system for nutritional meals based on big data, so as to solve the problems in the existing market presented in the above-mentioned background art.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
an automatic personalized meal preparing system and a meal preparing method thereof based on big data, wherein the meal preparing system comprises:
the acquisition module is used for acquiring and storing basic data of a user to be detected;
the detection module is used for detecting physical conditions of a user, including blood pressure, heart rate, blood oxygen, pulse, brain waves, weight, body fat and basal metabolism;
the meal matching module is used for matching the nutrition meal for the user according to the data of the detection module and generating a heat meter and a nutrition meter;
the meal suggestion module is used for matching three meal suggestions for the user according to the data of the detection module and recording meal formation calorimeter and nutrition meter;
and the exercise suggestion module is used for forming exercise suggestions according to the basic data of the user, the calorimeter and the nutrition meter and recording the exercise of the user to form a caloric consumption meter.
According to the technical scheme, the basic data is input into the acquisition module by the user, the basic data information is input into the detection module and corresponds to the basic information of the user, the detection module detects the physical condition of the user and inputs the information into the matching meal module, the matching meal module matches the food according to the detection data and the basic information of the user, the matched meal is formed into a calorimeter and a nutrition table and is sent to the client terminal, if the matching meal is not selected by the client, the matched meal can be selected for the matched meal of the user according to the meal suggestion module, the user uploads the eaten meal into the meal suggestion module, the meal suggestion module forms a calorimeter and a nutrition table, the movement suggestion module forms a movement suggestion according to the basic data, the calorimeter and the nutrition table of the user, the user uploads the movement of the current day to the movement suggestion module according to the movement suggestion to form a heat consumption table, the system is beneficial to matching the matched proper meal for the user according to the basic data and the detection data of the user, and the matched meal according to the matched meal is provided with the corresponding movement suggestion, the physical data, the meal data and the movement suggestion are integrated, the body data and the movement suggestion data are monitored, and the physical condition of the user are monitored in real time.
As a preferred aspect of the present invention, the meal preparing module includes: including caloric data, grammage, collocation logic advice, cooking style, user preference options, and menu options.
Through the technical scheme, the user can select own meal according to the meal allocation module, data, transparence and rationalization of own meal are realized, and the influence of miseating, excessive eating or less eating on the health is avoided.
As a preferred embodiment of the present invention, the basic data includes: user name, age, gender, height, weight, a i face recognition data, physical condition demand options.
Through the technical scheme, after the user fills the basic data, the user inputs the ai face recognition data so as to be convenient for logging in the account next time.
As a preferred embodiment of the present invention, the body fat scale is used for measuring the weight, body fat rate, basal metabolism, BM I of the user in the detection module.
As a preferable scheme of the invention, the intelligent bracelet detects the blood pressure, blood oxygen, pulse and heart rate of the user.
Through the technical scheme, the intelligent bracelet binds the user account and monitors the user body data in real time.
As a preferred embodiment of the present invention, the brain wave detector is used for detecting brain waves of a user.
As a preferred aspect of the present invention, the physical condition demand options include: rehabilitation, muscle increasing, fat reducing, hyperglycemia and hyperlipidemia.
Through the technical scheme, the user can select the type suitable for the user according to the physical condition requirement of the user.
As a preferred embodiment of the present invention, the data of the user's acquisition module, detection module, meal preparation module, meal suggestion module and movement suggestion module are all stored in the storage module.
Through the technical scheme, the storage module is convenient for storing user information.
As a preferable scheme of the invention, the meal matching module, the meal proposal module and the sport proposal module are all provided with corresponding expert consultation modules.
Through the technical scheme, if a user has special requirements or questions, the expert consultation module can inquire the expert.
A second object of the present invention is to provide a nutritional meal preparing method to solve the above-mentioned problems in the market of the prior art.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
a nutritional meal preparation method, the method comprising:
step one: the user inputs basic information in the catering system terminal, inputs the face a i of the user and stores the data in the storage module;
step two: the user detects the physical condition of the user through the body fat scale, the intelligent bracelet and the brain wave detector and sends the data to the catering module;
step three: the meal matching module matches the nutrition meal according to the body detection data and the basic information data of the user and generates a calorimeter and a nutrition table;
step four: if the user does not need to prepare meals, selecting the meals according to the information of the suggestion recording module;
step five: and forming exercise advice according to the basic data, the calorimeter and the nutrition table of the user, and recording the exercise of the user to form a caloric consumption table.
Compared with the prior art, the invention has the beneficial effects that:
the matching meal module is used for matching meal according to the detection data and the basic information of the user, and sending the matched meal to the client terminal to form a heat meter and a nutrition meter, if the matching meal is not selected by the client, the matching meal can be selected to be matched by the user according to the meal suggestion module, the user uploads the eaten meal to the meal suggestion module, the meal suggestion module forms the heat meter and the nutrition meter, the movement suggestion module forms the movement suggestion according to the basic data, the heat meter and the nutrition meter of the user, and the user uploads the movement of the current day to the movement suggestion module according to the movement suggestion to form the heat consumption meter.
The system is beneficial to matching proper meal for the user according to the basic data and the detection data of the user, giving corresponding movement advice according to the matched meal, integrating body data, meal data and movement data into a whole, monitoring the physical condition of the user in real time, and matching the meal and movement according to the user requirement.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Figure 1 is a diagram of the meal distribution system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below in connection with the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides the following examples:
example 1:
personalized automatic meal preparing system and meal preparing method based on big data, wherein the meal preparing system comprises: the system comprises an acquisition module, a detection module, a meal allocation module, a meal suggestion module and a motion suggestion module; the acquisition module is used for acquiring and storing basic data of a user to be detected; the detection module is used for detecting physical conditions of a user, including blood pressure, heart rate, blood oxygen, pulse, brain waves, weight, body fat and basal metabolism; the meal matching module is used for matching the nutrition meal for the user according to the data of the detection module and generating a heat meter and a nutrition meter; the meal suggestion module is used for matching three meal suggestions for the user according to the data of the detection module and recording meal formation calorimeter and nutrition meter; and the exercise suggestion module is used for forming exercise suggestions according to the basic data of the user, the calorimeter and the nutrition meter and recording the exercise of the user to form a caloric consumption meter. The system is beneficial to matching proper meal for the user according to the basic data and the detection data of the user, giving corresponding movement advice according to the matched meal, integrating the body data, the meal data and the movement data, and monitoring the physical and movement requirements of the user in real time.
As a further improvement of the invention, the catering module comprises: the food processing system comprises heat data, gram weights, collocation logic suggestions, cooking modes, user preference options and dish options, and a user can select own food according to a catering module, so that the own food is dataized, transparent and reasonable, and the influence of eating mistakes, excessive eating or eating at low speed on the health is avoided.
As a further improvement of the present invention, the basic data include: user name, age, sex, height, weight, a i face identification data, physical condition demand options, and a i face identification data is entered after the user is filled with basic data to facilitate the next login account.
As a further improvement of the invention, the body fat scale is used for measuring the weight, body fat rate, basal metabolism and BM I of the user in the detection module, the intelligent bracelet detects the blood pressure, blood oxygen, pulse and heart rate of the user, the intelligent bracelet binds the user account, and the body data of the user is monitored in real time.
As a further improvement of the present invention, the brain wave detector is used for detecting brain waves of the user.
As a further improvement of the present invention, the physical condition demand options include: rehabilitation, muscle increasing, fat reducing, hyperglycemia and hyperlipidemia, and the user can select the type suitable for the user according to the physical condition requirements of the user.
As a further improvement of the invention, the data of the acquisition module, the detection module, the catering module, the meal suggestion module and the movement suggestion module of the user are all stored in the storage module, and the storage module is convenient for storing user information.
As a further improvement of the invention, the meal allocation module, the meal suggestion module and the sports suggestion module are provided with corresponding expert consultation modules, and the user can inquire the expert in the expert consultation modules if special requirements or questions exist.
Example 2:
a nutritional meal preparation method, the method comprising:
step one: the user inputs basic information in the catering system terminal, inputs the face a i of the user and stores the data in the storage module;
step two: the user detects the physical condition of the user through the body fat scale, the intelligent bracelet and the brain wave detector and sends the data to the catering module;
step three: the meal matching module matches the nutrition meal according to the body detection data and the basic information data of the user and generates a calorimeter and a nutrition table;
step four: if the user does not need to prepare meals, selecting the meals according to the information of the suggestion recording module;
step five: and forming exercise advice according to the basic data, the calorimeter and the nutrition table of the user, and recording the exercise of the user to form a caloric consumption table.
The system is beneficial to matching proper meal for the user according to the basic data and the detection data of the user, giving corresponding movement advice according to the matched meal, integrating the body data, the meal data and the movement data, monitoring the user's meal requirements in real time, and reducing the production cost and the production cost of the user's food, and the system has the advantages of being safe and reliable in production and having good and reliable physical requirements.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. Personalized automatic meal matching system and meal matching method based on big data nutrition meal, and is characterized in that the meal matching system comprises:
the acquisition module is used for acquiring and storing basic data of a user to be detected;
the detection module is used for detecting physical conditions of a user, including blood pressure, heart rate, blood oxygen, pulse, brain waves, weight, body fat and basal metabolism;
the meal matching module is used for matching the nutrition meal for the user according to the data of the detection module and generating a heat meter and a nutrition meter;
and the exercise suggestion module is used for forming exercise suggestions according to the basic data of the user, the calorimeter and the nutrition meter and recording the exercise of the user to form a caloric consumption meter.
2. The big data based nutritional meal personalized automatic meal system of claim 1, wherein the meal proportioning module comprises: including caloric data, grammage, collocation logic advice, cooking style, user preference options, and menu options.
3. The big data based nutritional meal personalized automatic catering system of claim 1, wherein the base data comprises: user name, age, gender, height, weight, ai facial recognition data, physical condition demand options.
4. The personalized automatic meal distribution system based on big data nutrition meal of claim 1, wherein the body fat scale is used for measuring the weight, body fat rate, basal metabolism and BMI of a user in the detection module, and the intelligent bracelet detects the blood pressure, blood oxygen, pulse and heart rate of the user.
5. The big data based nutritional meal personalized automatic meal preparation system according to claim 1, wherein the meal preparation module further comprises a meal suggestion module for matching three meal suggestions for the user based on the detection module data and recording meal formation heat and nutritional profiles.
6. The big data based nutrition meal personalized automatic catering system of claim 1, wherein the brain wave detector is configured to detect brain waves of a user.
7. The big data based nutritional meal personalized automatic catering system of claim 2, wherein the physical condition demand options comprise: rehabilitation, muscle increasing, fat reducing, hyperglycemia and hyperlipidemia.
8. The big data based nutritional meal personalized automatic meal distribution system of claim 1, wherein the data of the user's acquisition module, detection module, meal distribution module, meal suggestion module, and movement suggestion module are all stored in the storage module.
9. The big data based nutritional meal personalized automatic meal preparation system according to claim 1, wherein the meal preparation module, the meal suggestion module and the exercise suggestion module are provided with corresponding expert consultation modules.
10. A method of nutritional meal proportioning, according to claims 1-7, characterized in that it comprises:
step one: the user inputs basic information at the catering system terminal, inputs the face ai of the user, and stores the data in the storage module;
step two: the user detects the physical condition of the user through the body fat scale, the intelligent bracelet and the brain wave detector and sends the data to the catering module;
step three: the meal matching module matches the nutrition meal according to the body detection data and the basic information data of the user and generates a calorimeter and a nutrition table;
step four: if the user does not need to prepare meals, selecting the meals according to the information of the suggestion recording module;
step five: and forming exercise advice according to the basic data, the calorimeter and the nutrition table of the user, and recording the exercise of the user to form a caloric consumption table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311338391.3A CN117409927A (en) | 2023-10-16 | 2023-10-16 | Personalized automatic meal distribution system and meal distribution method based on big data nutrition meal |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311338391.3A CN117409927A (en) | 2023-10-16 | 2023-10-16 | Personalized automatic meal distribution system and meal distribution method based on big data nutrition meal |
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| Publication Number | Publication Date |
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| CN117409927A true CN117409927A (en) | 2024-01-16 |
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| CN202311338391.3A Pending CN117409927A (en) | 2023-10-16 | 2023-10-16 | Personalized automatic meal distribution system and meal distribution method based on big data nutrition meal |
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| Country | Link |
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| CN (1) | CN117409927A (en) |
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- 2023-10-16 CN CN202311338391.3A patent/CN117409927A/en active Pending
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