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CN118430745A - Nutritional balance diet recommendation method and system based on user physical health data - Google Patents

Nutritional balance diet recommendation method and system based on user physical health data
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Publication number
CN118430745A
CN118430745ACN202410555912.9ACN202410555912ACN118430745ACN 118430745 ACN118430745 ACN 118430745ACN 202410555912 ACN202410555912 ACN 202410555912ACN 118430745 ACN118430745 ACN 118430745A
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user
dishes
meal
demand
nutrient
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CN202410555912.9A
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Chinese (zh)
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蔺鹏江
张韬
张瑜
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Chongqing Shanshi Technology Co ltd
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Chongqing Shanshi Technology Co ltd
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Abstract

The invention discloses a nutrition balance diet recommendation method and a system based on user physical health data, wherein the method comprises the following steps: acquiring health basic information and requirements of a user, and establishing a user personalized dietary nutrient requirement database according to the health basic information and requirements of the user; establishing a food nutrient database and a dish nutrient database; establishing a dish feature tag database; acquiring the information of the dining hall dishes on the current day, and calculating the range of the dishes suitable for the user on the current day according to the information of the dining hall dishes; according to dietary nutrients required by the user when the meal is taken, balanced nutrition collocation is carried out in dishes suitable for the user when the meal is taken, the rationality of collocation results is checked, and reasonable collocation results are recommended to the user. The method can dynamically acquire the information of the canteen dishes, analyze the dishes suitable for the current meal of the user, carry out field headquarters balanced collocation, check the rationality of the collocation result and recommend the reasonable collocation result to the user.

Description

Nutritional balance diet recommendation method and system based on user physical health data
Technical Field
The invention relates to the technical field of diet management, in particular to a nutrition balance diet recommendation method and system based on user physical health data.
Background
As people get more and more concerned about health, more and more people begin to pay attention to their own eating habits. The purpose of dietary nutrition allocation is to ensure that nutrients required by a human body can be balanced and ingested, and various bioactive substances, nutrients and other components in the diet are balanced within a certain range so as to ensure the health of the human body.
The publication number is CN 116525067A, the invention is a nutrition recipe recommendation system and a method, and the system comprises the following components: the system comprises a basic information acquisition module, a coding library index module, a nutrient algorithm module and a diet doctor order analysis and output module; the basic information acquisition module is used for acquiring basic information of a patient, wherein the basic information comprises disease diagnosis results, height, weight, age, laboratory examination and medical record summary information; the coding library index module is coupled with a predetermined nutrition knowledge coding library and is used for searching nutrition knowledge corresponding to the disease in the nutrition knowledge coding library according to the basic information; the nutrient algorithm module is used for calculating the theoretical nutrient range required by the patient according to the basic information; the diet doctor advice analysis and output module is used for analyzing according to the nutrition knowledge retrieved by the encoding library indexing module and the theoretical nutrient range required by the patient calculated by the nutrient algorithm module, selecting foods matched with the patient, and outputting at least one nutrition recipe meeting the requirement of the patient. The basic information of the patient is input, and each module is used as a calculation basis and an reasoning basis according to the existing nutritional guidelines of various diseases, so that an accurate nutrient recommendation scheme is ensured to be calculated according to the input information. However, such software systems are specific to some special groups, are not applicable to general groups, and cannot determine which dishes are suitable for users with current physical conditions according to the menu information currently acquired.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a nutrition balance diet recommendation method-level system based on user body health data, so as to overcome the defects in the prior art.
In a first aspect, the invention provides a nutrition balance diet recommendation method based on user physical health data, which comprises the following steps:
Acquiring health basic information and requirements of a user, wherein the health basic information comprises allergy sources, contraindications and personal preferences, and the requirements comprise weight losing, fat reducing, shaping, body building and three-high lowering;
Establishing a user personalized dietary nutrient demand database according to health basic information and demands of users, wherein the personalized dietary nutrient demands comprise daily dietary nutrient intake demands and meal dietary nutrient intake demands;
establishing a food nutrient database and a dish nutrient database;
establishing a dish feature tag database;
Acquiring the information of the dining hall dishes on the current day, and calculating the range of the dishes suitable for the user on the current day according to the information of the dining hall dishes;
According to dietary nutrients required by the user when the meal is taken, balanced nutrition collocation is carried out on the dishes suitable for the eating of the meal, the rationality of collocation results is checked, and reasonable collocation results are recommended to the user.
In a second aspect, the present invention provides a nutrition balanced meal recommendation system based on user physical health data, comprising: the system comprises an information acquisition module, a first database establishing module, a second database establishing module, a third database establishing module, a calculating module and an equilibrium collocation module,
The information acquisition module is used for acquiring health basic information and requirements of a user, wherein the health basic information comprises allergen, contraindications and personal preference, and the requirements comprise weight losing, fat reducing, shaping, body building and three-high reducing;
The first database building module is used for building a user personalized dietary nutrient demand database according to health basic information and demands of users, wherein the personalized dietary nutrient demand comprises daily dietary nutrient intake demand and meal dietary nutrient intake demand;
The second database establishing module is used for establishing a food material nutrient database and a dish nutrient database;
The third database establishing module is used for establishing a dish feature tag database;
the calculating module is used for obtaining the current dining room dish information of the current day and calculating the range of the dishes suitable for the user to eat at the current time according to the dining room dish information;
The balanced matching module is used for carrying out balanced nutrition matching on dishes suitable for eating at the time of meals according to dietary nutrients required by the users at the time of meals, checking the rationality of matching results and recommending reasonable matching results to the users.
In a third aspect, an embodiment of the present invention provides an intelligent terminal, including a processor, an input device, an output device, and a memory, where the processor is connected to the input device, the output device, and the memory, respectively, and the memory is configured to store a computer program, where the computer program includes program instructions, and the processor is configured to invoke the program instructions to execute the method described in the foregoing embodiment.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method described in the above embodiments.
The invention has the beneficial effects that:
According to the nutrition balance diet recommendation method based on the user physical health data, a personalized diet nutrient requirement database is built according to the user physical health basic information and requirements, dining hall dish information is dynamically obtained, dishes suitable for the user to eat at one time are calculated, dishes suitable for the user are selected from the dishes suitable for the user to carry out nutrition balance collocation in combination with diet nutrients required by the user at the current time, rationality of collocation results is checked, and reasonable collocation results are recommended to the user. The dining hall dishes information is dynamically obtained, different dishes information of each meal every day can be dynamically analyzed, dishes suitable for the current meal of a user are obtained and balanced collocation is carried out by field headquarters, the rationality of the collocation result is checked, the reasonable collocation result is recommended to the user, and the user can select balanced nutrition dishes suitable for the physical state and the requirement of the user from the current meal.
The embodiment of the invention provides a nutrition balance diet recommendation system, an intelligent terminal and a medium based on user body health data, which have the same beneficial effects as the nutrition balance diet recommendation method based on the user body health data.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a flow chart of a nutrition balanced meal recommendation method based on user physical health data according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a nutrition-balanced diet recommendation device based on user physical health data according to a second embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an intelligent terminal according to a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are 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.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
Referring to fig. 1, a flowchart of a nutrition balanced diet recommendation method based on user physical health data according to a first embodiment of the present invention is shown, and the method includes the following steps:
Acquiring health basic information and requirements of a user, wherein the health basic information comprises allergy sources, contraindications and personal preferences, and the requirements comprise weight losing, fat reducing, shaping, body building and three-high reducing;
Establishing a user personalized dietary nutrient demand database according to health basic information and demands of users, wherein the personalized dietary nutrient demands comprise daily dietary nutrient intake demands and meal dietary nutrient intake demands;
Establishing a food material nutrient database and a dish nutrient database, wherein the food material nutrients comprise a plurality of heat, protein, fat, carbohydrate, sodium, calcium, iron, potassium, zinc and the like;
establishing a dish feature tag database, wherein the dish feature tag comprises: meat and vegetables, vegetable series, taste, crowd, spicy degree, dish nutrition function, allergen and the like;
Acquiring dish information of the dining hall at the current day, and calculating the range of the dishes suitable for the user to eat at the current time according to the dish information, wherein the dish information comprises dish data such as main side dish collocation details, flavoring details and the like;
According to dietary nutrients required by the user at the time of meals, balanced nutrition collocation is carried out from dishes suitable for the user at the time of meals, the rationality of collocation results is checked, and reasonable collocation results are recommended to the user.
Wherein, the health basic information of the user also comprises gender, age, height, weight, physical activity level, exercise state and the like. The calculation formula of the daily meal caloric requirement of the user is as follows:
daily dietary caloric requirement NeQ-E (kcal) =basal metabolic rate BMR physical activity level factor;
Basal metabolic rate BMR (kcal) = (9.99 x body weight W (kg) +6.25x height H (cm) -4.92x age ag+sex adjustment factor s);
Wherein, the range of alpha is 1.2-1.9, and the sex adjustment factor s: such as: female value-161 and male value 5.
The daily dietary nutrient intake demand calculation formula is:
Carbohydrate intake demand NeQ-Car (g) = (daily meal caloric demand e×carbohydrate energy supply ratio Cc)/4;
Fat intake demand NeQ-Fat (g) = (daily meal caloric demand E Fat energy duty ratio Fb)/9;
protein intake demand NeQ-Pr (g) = (daily dietary caloric demand E (100% -carbohydrate energy duty cycle Cc-fat energy duty cycle Fb))/4;
Wherein, cc range: 50% -65%, fb scope: 20% -30%.
The nutrient intake requirement per meal was calculated:
nutrient demand three meal distribution coefficient θ: breakfast = 30%, lunch = 40%, dinner = 30%;
meal caloric requirement per meal MeNeQ-E (kcal) =daily meal caloric requirement E (kcal) ×three meal distribution coefficient θ;
carbohydrate intake demand per meal MeNeQ-Car (g) = (calorie demand per meal NeQ-E carbohydrate energy duty cycle Cc)/4;
fat intake demand per meal MeNeQ-Fat (g) = (calorie demand per meal NeQ-E Fat energy duty cycle Fb)/9;
Protein intake demand per meal MeNeQ-Pr (g) = (caloric demand per meal NeQ-E (100% -carbohydrate energy duty Cc-fat energy duty Fb))/4;
Wherein, cc range: 50% -65%, fb scope: 20% -30%.
The related formula is calculated by the dish nutrient content (/ 100 g):
Wherein, the vegetable nutrient content (/ 100 g) is calculated: kappa is the edible rate of the food, gamma is the nutrient retention rate in cooking, delta is the finished product vegetable yield, M (g) is the use weight of a certain food in the dishes, n is the number of the food types, n is a positive integer, 1,2, … …, n, M (g) is the total weight of the dishes, foC-Pr (g/100 g) is the protein content in a certain food, foC-Fat (g/100 g) is the Fat content in a certain food, and FoC-Carb (g/100 g) is the carbohydrate content in a certain food.
The specific method for calculating the range of the dishes suitable for the user when the user eats the dishes according to the dish information comprises the following steps: according to the information of the canteen dishes, the dishes are divided into at least two stages, wherein the primary classification comprises meat dishes, vegetable dishes, staple food and fruits, the secondary classification of the meat dishes is divided into meat dishes and meat dishes, the secondary classification of the staple food is divided into staple food pastries and coarse food grains, and the vegetable dishes and the fruits are not subjected to the secondary classification, namely the secondary classification of the vegetable dishes and the fruits is the same as the primary classification. And the user is prevented from being allergic, contraindicated and disliked, and the remaining dishes are suitable for eating the dishes when the user meals the day.
According to dietary nutrients required by a user when the user eats dishes, the following conditions are simultaneously satisfied when the user eats dishes properly and the rationality of the matching result is checked: the structure of the meal dishes needs two-stage classification full coverage; maximizing the number m of edible vegetable varieties, wherein m is a positive integer; the actual intake of meal dish weight Q (g) needs to be minimized; the actual target rate Targ (%) of nutrient intake needs to fall within the limit range, i.e., the amount of nutrient intake should be distributed to the dining hall in x dishes (meat dishes, half meat dishes), vegetables, staple food (containing minor cereals) and fruits) at the time of dining, and the expected actual intake/intake of calories, proteins, fats and carbohydrates are within the allowable range of difference. Wherein, the target achievement rate Targ-E (%) of caloric actual intake is controlled in the range of 90% -110%; actual protein uptake target achievement rate Targ-Pr (%) control range [90% -120%); actual Fat intake target achievement rate Targ-Fat (%) control range [75% -110%); the actual carbohydrate uptake target achievement rate Targ-Carb (%) was controlled in the range of 75% -110%. As shown in table 1.
Calculating a related formula of nutrition balance diet collocation:
TABLE 1
According to the nutrition balance diet recommendation method based on the user physical health data, a personalized diet nutrient requirement database is built according to the user physical health basic information and requirements, dining hall dish information is dynamically obtained, dishes suitable for the user to eat at one time are calculated, dishes suitable for the user are selected from the dishes suitable for the user to carry out nutrition balance collocation in combination with diet nutrients required by the user at the current time, rationality of collocation results is checked, and reasonable collocation results are recommended to the user. The dining hall dishes information is dynamically obtained, different dishes information of each meal every day can be dynamically analyzed, dishes suitable for the current meal of a user are obtained and balanced collocation is carried out by field headquarters, the rationality of the collocation result is checked, the reasonable collocation result is recommended to the user, and the user can select balanced nutrition dishes suitable for the physical state and the requirement of the user from the current meal.
In the first embodiment, a nutrition balance diet recommendation method based on user physical health data is provided, and correspondingly, the application further provides a nutrition balance diet recommendation system based on the user physical health data. Fig. 2 is a schematic structural diagram of a nutrition-balanced meal recommendation system based on user physical health data according to a second embodiment of the present application. Since the apparatus embodiments are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
Referring to fig. 2, a schematic structural diagram of a nutrition balanced meal recommendation system based on user physical health data according to another embodiment of the present invention is shown, where the system includes: the system comprises an information acquisition module, a first database building module, a second database building module, a third database building module, a calculation module and an equilibrium collocation module, wherein the information acquisition module is used for acquiring health basic information and requirements of a user, the health basic information comprises allergic sources, contraindications and personal preferences, and the requirements comprise weight loss, fat reduction, shaping, body building and three-high reduction; the first database building module is used for building a personalized dietary nutrient requirement database of the user according to the health basic information and the requirement of the user, wherein the personalized dietary nutrient requirement comprises daily dietary nutrient intake requirement and meal dietary nutrient intake requirement; the second database establishing module is used for establishing a food material nutrient database and a dish nutrient database; the third database establishing module is used for establishing a dish feature tag database; the calculating module is used for obtaining the dish information of the dining hall at the current time of the day and calculating the range of the dishes suitable for the user to eat at the current time of the meal according to the dish information; the balanced matching module is used for carrying out balanced nutrition matching on dishes suitable for eating at the time of meals according to dietary nutrients required by the users at the time of meals, checking the rationality of matching results and recommending reasonable matching results to the users.
The above describes an embodiment of a nutrition-balanced meal recommendation system based on user physical health data provided for the second embodiment of the present invention.
The nutrition balanced diet recommendation system based on the user body health data provided by the embodiment of the invention has the same beneficial effects as the nutrition balanced diet recommendation method based on the user body health data provided by the first embodiment, and is not described herein.
As shown in fig. 3, a schematic structural diagram of an intelligent terminal according to another embodiment of the present invention is shown, where the intelligent terminal includes a processor, an input device, an output device, and a memory, where the processor is connected to the input device, the output device, and the memory, respectively, and the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to invoke the program instructions to execute the method described in the first embodiment.
It should be appreciated that in embodiments of the present invention, the Processor may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input devices may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, etc., and the output devices may include a display (LCD, etc.), a speaker, etc.
The memory may include read only memory and random access memory and provide instructions and data to the processor. A portion of the memory may also include non-volatile random access memory. For example, the memory may also store information of the device type.
In a specific implementation, the processor, the input device, and the output device described in the embodiments of the present invention may execute the implementation described in the method embodiment provided in the embodiments of the present invention, or may execute the implementation of the system embodiment described in the embodiments of the present invention, which is not described herein again.
In a further embodiment of the invention, a computer-readable storage medium is provided, in which a computer program is stored, the computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method described in the above embodiment.
The computer readable storage medium may be an internal storage unit of the terminal according to the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, which are provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used to store the computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working procedures of the terminal and the unit described above may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In several embodiments provided by the present application, it should be understood that the disclosed terminal and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (10)

CN202410555912.9A2024-05-072024-05-07Nutritional balance diet recommendation method and system based on user physical health dataPendingCN118430745A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN119207721A (en)*2024-09-252024-12-27中山大学肿瘤防治中心(中山大学附属肿瘤医院、中山大学肿瘤研究所) A formula food operation and management device based on human-computer interaction technology
CN119314626A (en)*2024-09-302025-01-14山西医科大学第二医院(山西医科大学第二临床医学院) Method, system, electronic device and storage medium for generating balanced dietary nutrition based on individualized needs
CN119480010A (en)*2025-01-152025-02-18上海酷潮科技股份有限公司 AIGC-based personalized nutritious meal recommendation system and method for smart canteens

Cited By (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN119207721A (en)*2024-09-252024-12-27中山大学肿瘤防治中心(中山大学附属肿瘤医院、中山大学肿瘤研究所) A formula food operation and management device based on human-computer interaction technology
CN119314626A (en)*2024-09-302025-01-14山西医科大学第二医院(山西医科大学第二临床医学院) Method, system, electronic device and storage medium for generating balanced dietary nutrition based on individualized needs
CN119480010A (en)*2025-01-152025-02-18上海酷潮科技股份有限公司 AIGC-based personalized nutritious meal recommendation system and method for smart canteens

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