Management system and method for combining healthy life and personalized diet of personnel

Abstract

The invention discloses a management system and method for combining healthy life and personalized diet of people, the system comprises a health management platform, a personal terminal and a catering management platform, the health management platform is interactively connected with the personal terminal, and the personal terminal is interactively connected with the catering management platform; the health management platform comprises an information module, a physical examination data module, a comprehensive analysis module and a menu making module; the information module records and stores basic health information of personnel, the physical examination data module acquires health data of the personnel, the comprehensive analysis module performs comprehensive analysis according to the basic health information of the personnel and the physical examination data and imports an analysis result into the menu making module, and the menu making module generates a specified menu. The information and associated personnel information are transmitted to the catering management platform; and the catering management platform receives catering data sent by the personal terminal and feeds back food taking data to the personal terminal. According to the invention, the combination of personalized diet and health management is realized, and the overall health level of personnel is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of healthy diet management, and in particular to a management system and method for combining healthy living with personalized diet. Background Art

[0002] The current technical status of health management for staff is showing a trend of diversification. At present, although there are generally facilities such as sports venues and gyms for the health management of personnel in the region, there are still significant deficiencies in actual implementation and effectiveness. Specifically, the existing technologies or management methods mainly face the following problems and challenges:

[0003] 1. Lack of systematic management. The health and life management of people in the region is often a set of systematic management plans, which leads to scattered and incoherent health management activities and makes it difficult to form a sustainable and effective health promotion mechanism;

[0004] 2. Lack of personalization. Most existing management methods fail to fully consider the individual differences of people in the park, such as age, gender, physique, nature of work, etc., and lack personalized diet and exercise guidance, resulting in poor health management results;

[0005] 3. Lack of quantitative indicators. There is a lack of scientific quantitative indicators to evaluate and manage the health status of people in the park, such as regular monitoring and tracking of key health data such as weight, body fat percentage, blood pressure, and blood sugar, which makes it impossible to accurately judge the effect of health management and adjust management strategies in a timely manner;

[0006] 4. Lack of effective incentives and supervision. Existing management methods often lack effective incentive mechanisms and supervision methods, which makes people in the region lack the enthusiasm and continuity to participate in health management and makes it difficult to form good healthy living habits. Summary of the invention

[0007] To solve the above problems, the present invention provides a management system and method that combines people's healthy life with personalized diet, combining systematic, personalized, quantitative indicators and effective incentives and supervision. Through personalized diet and health management, the eating habits of people in the area are improved and the amount of exercise is increased, thereby reducing the risk of chronic diseases and improving the overall health level.

[0008] The present invention provides a management system that combines healthy living with personalized diet. The specific technical solution is as follows:

[0009] It includes a health management platform, a personal terminal and a meal distribution management platform, wherein the health management platform is interactively connected with the personal terminal, and the personal terminal is interactively connected with the meal distribution management platform;

[0010] The health management platform includes an information module, a physical examination data module, a comprehensive analysis module, and a recipe formulation module;

[0011] The information module records and stores basic health information of personnel, the physical examination data module obtains health data of personnel and stores it in combination with the basic health information of personnel, the comprehensive analysis module is connected with the information module and the physical examination data module, performs comprehensive analysis based on the basic health information and physical examination data of personnel, and imports the analysis result into the recipe formulation module, the recipe formulation module generates a specified recipe based on the analysis result, and transmits the specified recipe and the associated personnel information to the meal distribution management platform;

[0012] The meal distribution management platform receives the meal distribution data sent by the personal terminal, and feeds back the meal collection data to the personal terminal.

[0013] Furthermore, the comprehensive analysis module performs a comprehensive analysis based on the basic health information and physical examination data of the personnel, and the analysis results include health risk assessment and dietary recommendations.

[0014] Furthermore, the health management platform generates a health report through a comprehensive analysis module according to a set period and sends it to the personal terminal.

[0015] Furthermore, the health risk assessment is as follows:

[0016] The comprehensive analysis module pre-processes the basic health data, constructs multiple decision trees based on the processed data to perform classification and regression analysis, and obtains a comprehensive evaluation result through a voting mechanism.

[0017] Furthermore, the specific process of obtaining the dietary advice is as follows:

[0018] Pre-processing of basic personal health data;

[0019] Building a food database, the food database including dish names, nutritional ingredients and types;

[0020] Calculate the current individual's basal metabolic rate, obtain the current individual's exercise data, and calculate the total energy consumption;

[0021] Obtain the current personal health goals and calculate nutritional needs based on total energy consumption;

[0022] According to the user's health data and nutritional health needs, the food database is retrieved to obtain the current personal required dishes data;

[0023] Based on the required dish data and according to the set rules and constraints, dietary suggestions are obtained and recipes are generated.

[0024] Furthermore, the rule constraints include: nutritional balance rules, health restriction rules and taste preference rules;

[0025] The nutritional balance rule is that the nutritional parameters provided by the dish are within the set ratio range;

[0026] The health restriction rules refer to the dishes, seasonings and methods that comply with the taboo requirements of personal health risk assessment;

[0027] The taste preference rule is to give priority to using the parameter data in the current individual's historical recipes.

[0028] Furthermore, the recipe formulation module also includes recipe collaborative filtering recommendation, including recipe recommendation based on similarity between users and recipe recommendation based on similarity between dishes;

[0029] The recipe recommendations based on the similarities between the users are as follows:

[0030] Calculate the cosine similarity or Pearson similarity coefficient between users to identify other users with similar tastes to the target user;

[0031] Retrieve the dietary choices of similar users and recommend them to target users;

[0032] The recipe recommendation based on dish similarity is as follows:

[0033] The target user's historical dishes are obtained as the target dishes. By calculating the similarity between dishes, other dishes similar to the target dish are identified and recommended to the target user.

[0034] Furthermore, the recipe formulation module also includes recipe content recommendations, as follows:

[0035] Construct a feature vector for each dish, including type, taste, and nutritional data;

[0036] Build user profiles based on the user's basic health data and rule constraints;

[0037] Calculate the similarity between dish features and user portraits, and filter out dishes that best match user needs from the food database.

[0038] Furthermore, the recipe formulation module also includes mixed recipe recommendations, as follows:

[0039] The candidate results generated by recipe collaborative filtering recommendation and recipe content recommendation and their scores are weighted and combined as follows:

[0040] R=w1·RCF+w2·RCB

[0041] Among them, R represents the final recommendation result, RCF and RCB represent collaborative filtering and content recommendation results respectively, and w1 and w2 represent weights.

[0042] The present invention also provides a management method for combining healthy living with personalized diet, and the specific scheme is as follows:

[0043] S1: The user enters basic health information through a personal terminal;

[0044] S2: The physical examination data module of the health management platform obtains the corresponding physical examination data from the third-party physical examination system based on the basic health information of the personnel entered in the information module;

[0045] S3: Preprocess basic health information and physical examination data of personnel, construct a health data set, and build a comprehensive analysis model for comprehensive analysis to obtain health risk assessment and dietary recommendations;

[0046] S4: The recipe formulation module generates a specified recipe based on the analysis results and sends it to the meal distribution management platform and the personal terminal;

[0047] S5: The personal terminal interacts and confirms with the meal matching management platform based on the specified recipe, and the meal matching management platform matches the meal according to the specified recipe and generates a unique identifier at the same time;

[0048] S6: The user confirms the meal pickup based on the unique identifier and completes the meal pickup.

[0049] The beneficial effects of the present invention are as follows:

[0050] The present invention obtains basic health information and physical examination data of personnel to formulate personalized recipes, realizes real-time monitoring and follow-up of personnel's physical condition, conducts comprehensive analysis based on health and physical examination data, and generates recipes through nutritional demand calculation, realizes food nutrition matching according to personnel's physical condition, and effectively helps park personnel control their physical health status in combination with eating habits. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the overall framework flow of the system of the present invention. DETAILED DESCRIPTION

[0052] The following description clearly and completely describes the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] In the description of the embodiments of the present invention, it should be noted that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the invented product is usually placed when in use, or the orientation or positional relationship commonly understood by those skilled in the art, or the orientation or positional relationship in which the invented product is usually placed when in use, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first" and "second" are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0054] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] Example 1

[0056] Embodiment 1 of the present invention discloses a management system combining personnel's healthy life with personalized diet, such as Figure 1 As shown, the details are as follows:

[0057] The system includes a health management platform, a personal terminal and a meal distribution management platform, wherein the health management platform is interactively connected with the personal terminal, and the personal terminal is interactively connected with the meal distribution management platform;

[0058] The health management platform includes an information module, a physical examination data module, a comprehensive analysis module, and a recipe formulation module;

[0059] The information module records and stores basic health information of personnel, and the physical examination data module obtains health data of personnel and stores it in conjunction with the basic health information of personnel;

[0060] Based on personal terminals, the basic health information of personnel is entered into the information module of the health management platform. The basic health information includes: name, age, gender, physical condition, family medical history, etc.

[0061] The physical examination data module obtains the physical examination data of each person and imports and stores it by interacting with the third-party physical examination system data. The physical examination data includes: body mass index (BMI), body fat percentage, blood pressure, blood lipids, blood sugar, vitamins, minerals, protein, cardiopulmonary function and bone density information.

[0062] Specifically, the transmission of physical examination data uses data encryption to ensure the security and privacy protection of the physical examination data during the transmission process. At the same time, through real-time or scheduled synchronization mechanisms, it is ensured that the physical examination data can be imported into the health management platform immediately or at the agreed time.

[0063] The comprehensive analysis module is connected to the information module and the physical examination data module, performs comprehensive analysis based on the basic health information and physical examination data of the personnel, and imports the analysis results into the recipe formulation module;

[0064] The recipe formulation module generates a specified recipe based on the analysis results, and transmits the specified recipe and associated personnel information to the meal distribution management platform.

[0065] The comprehensive analysis module performs comprehensive analysis based on the basic health information and physical examination data of the personnel, and the analysis results include health risk assessment and dietary recommendations;

[0066] The health management platform generates health reports through a comprehensive analysis module according to a set period and sends them to personal terminals to achieve real-time monitoring of changes in health data of personnel.

[0067] The health management platform also includes a publicity module, which issues physical examination notices by sending communications or emails to the personal terminals, or through the announcement board on the platform, explaining the importance of the physical examination, project content, time schedule and precautions; the platform also has a question-and-answer window and hotline, and users interact with the platform through personal terminals. The back-end personnel of the platform answer employees' questions about physical examinations through the established communication window, thereby improving participation enthusiasm and awareness.

[0068] The comprehensive analysis module first integrates and preprocesses the received data to construct a data set, and then analyzes it by building a comprehensive analysis model;

[0069] Data preprocessing includes denoising, format unification, missing value processing, and deduplication processing, and feature selection and feature extraction are performed on the processed data;

[0070] Specifically, important features related to health outcomes are selected through correlation analysis; useful features are extracted from raw data through deep learning (such as autoencoders);

[0071] After that, a comprehensive analysis model is built and trained, and the trained model is used to conduct health risk assessment. The final results can be displayed and output through visualization tools.

[0072] Before the imported data is preprocessed, it also includes data verification to ensure the accuracy and completeness of the data;

[0073] Data verification includes integrity check, verifying whether each physical examination data is complete and whether there are any missing items; logical verification, based on medical knowledge and the logical relationship between physical examination data, rationality verification, such as whether the BMI value is within the normal range, whether the blood pressure value meets the health standard, etc.; outlier identification, using statistical methods to identify abnormal data, such as extreme values ​​or values ​​that do not conform to physiological laws, for marking or further verification.

[0074] The acquired data also includes quality assessment. By regularly conducting quality assessment on the imported physical examination data, we ensure that the data quality continues to improve. At the same time, the assessment results are promptly fed back to the physical examination institutions and data entry personnel to jointly optimize the data collection and transmission process.

[0075] As a preferred embodiment, the health risk assessment is specifically as follows:

[0076] The comprehensive analysis module pre-processes the basic health data, constructs multiple decision trees based on the processed data to perform classification and regression analysis, and obtains a comprehensive evaluation result through a voting mechanism.

[0077] As a preferred embodiment, the specific process of obtaining the dietary advice is as follows:

[0078] Pre-processing of basic personal health data;

[0079] Building a food database, the food database including dish names, nutritional ingredients and types;

[0080] Specifically, the architecture of the food database is as follows:

[0081] Food characteristics: nutritional content of each food (calories, protein, fat, carbohydrates, vitamins and minerals, etc.), food type (vegetables, fruits, meat, etc.), cooking method (steaming, boiling, baking, etc.).

[0082] Calculate the current individual's basal metabolic rate BMR, obtain the current individual's exercise data, and calculate the total energy expenditure TDEE;

[0083] Specifically, the Harris-Benedict formula or the Mifflin-St Jeor formula is used to calculate the user's basal metabolic rate.

[0084] Among them, for men: BMR = 88.362 + 13.397 × weight) + 4.799 × height) - 5.677 × age);

[0085] Female: BMR = 447.593 + 9.247 × weight) + 3.098 × height) - 4.330 × age);

[0086] TDEE calculation: Calculate total energy expenditure based on the user's activity level: TDEE = BMR × PALTDEE = BMR × PAL;

[0087] Among them, the PAL value is selected according to the individual's activity level (such as low, medium, and high activity);

[0088] Obtain the current personal health goals and calculate nutritional needs based on total energy consumption;

[0089] Specifically, according to the user's health goals (such as weight gain, weight loss or weight maintenance), determine the daily intake of various nutrients required;

[0090] Nutrient ratio setting: protein: 15% to 25%; fat: 20% to 35%; carbohydrates: 45% to 65%;

[0091] Calculate required intake: = TDEE × nutrient ratio percentage.

[0092] According to the user's health data and nutritional health needs, the food database is retrieved to obtain the current personal required dishes data;

[0093] Based on the required dish data and according to the set rules and constraints, dietary suggestions are obtained and recipes are generated.

[0094] The recipe generation also includes a feedback mechanism, where users can rate the recommended dishes through their personal terminals, and the system adjusts the recommendations based on the ratings.

[0095] As a preferred embodiment, the rule constraints include: nutritional balance rules, health restriction rules and taste preference rules;

[0096] The nutritional balance rule is that the nutritional parameters provided by the dish are within the set ratio range;

[0097] That is, ensuring that the recommended dishes meet basic nutritional requirements, such as a reasonable ratio of protein, fat, and carbohydrates;

[0098] The health restriction rules are that the dishes, seasonings and cooking methods meet the taboo requirements of personal health risk assessment; for example, the sugar parameters of diabetic patients are low sugar requirements, and the sugar parameters of hypertensive patients are low salt requirements;

[0099] The taste preference rule is to give priority to using the parameter data in the current individual's historical recipes.

[0100] The recipe formulation module also includes personalized recommendations, specifically, recipe collaborative filtering recommendations, recipe content recommendations, and mixed recipe recommendations;

[0101] The recipe collaborative filtering recommendation includes recipe recommendation based on similarity between users and recipe recommendation based on similarity between dishes;

[0102] The recipe recommendations based on the similarities between the users are as follows:

[0103] Calculate the cosine similarity or Pearson similarity coefficient between users to identify other users with similar tastes to the target user;

[0104] Retrieve the dietary choices of similar users and recommend them to target users;

[0105] The recipe recommendation based on dish similarity is as follows:

[0106] The target user's historical dishes are obtained as the target dishes. By calculating the similarity between dishes, other dishes similar to the target dish are identified and recommended to the target user.

[0107] The recipe contents are recommended as follows:

[0108] Construct a feature vector for each dish, including type, taste, and nutritional data;

[0109] Build user profiles based on the user's basic health data and rule constraints;

[0110] Calculate the similarity between dish features and user portraits, and filter out dishes that best match user needs from the food database.

[0111] The mixed recipe is recommended as follows:

[0112] The candidate results generated by recipe collaborative filtering recommendation and recipe content recommendation and their scores are weighted and combined as follows:

[0113] R=w1·RCF+w2·RCB

[0114] Among them, R represents the final recommendation result, RCF and RCB represent collaborative filtering and content recommendation results respectively, and w1 and w2 represent weights.

[0115] The meal distribution management platform receives the meal distribution data sent by the personal terminal, and feeds back the meal collection data to the personal terminal;

[0116] The canteen's meal management platform prepares meals based on the types and quantities of dishes recommended to each person and generates a unique ID. Relevant personnel can pick up meals using the unique ID.

[0117] Example 2

[0118] Embodiment 2 of the present invention discloses a management method for combining healthy living and personalized diet for personnel. Based on the management system for combining healthy living and personalized diet for personnel described in Embodiment 1 above, the specific steps are as follows:

[0119] S1: The user enters basic health information through a personal terminal;

[0120] S2: The physical examination data module of the health management platform obtains the corresponding physical examination data from the third-party physical examination system based on the basic health information of the personnel entered in the information module;

[0121] S3: Preprocess basic health information and physical examination data of personnel, construct a health data set, and build a comprehensive analysis model for comprehensive analysis to obtain health risk assessment and dietary recommendations;

[0122] S4: The recipe formulation module generates a specified recipe based on the analysis results and sends it to the meal distribution management platform and the personal terminal;

[0123] S5: The personal terminal interacts and confirms with the meal matching management platform based on the specified recipe, and the meal matching management platform matches the meal according to the specified recipe and generates a unique identifier at the same time;

[0124] S6: The user confirms the meal pickup based on the unique identifier and completes the meal pickup.

[0125] Specifically, the unique identifier may be a QR code or a unique number;

[0126] Users can verify their unique identity information through their personal terminals and obtain meal information.

[0127] The present invention is not limited to the above-mentioned specific embodiments, but extends to any new features or any new combination disclosed in this specification, as well as any new method or process steps or any new combination disclosed.

Claims

1. A management system combining healthy living and personalized diet for personnel, characterized in that: It includes a health management platform, a personal terminal and a meal distribution management platform, wherein the health management platform is interactively connected with the personal terminal, and the personal terminal is interactively connected with the meal distribution management platform; The health management platform includes an information module, a physical examination data module, a comprehensive analysis module, and a recipe formulation module; The information module records and stores basic health information of personnel, the physical examination data module obtains health data of personnel and stores it in combination with the basic health information of personnel, the comprehensive analysis module is connected with the information module and the physical examination data module, performs comprehensive analysis based on the basic health information and physical examination data of personnel, and imports the analysis result into the recipe formulation module, the recipe formulation module generates a specified recipe based on the analysis result, and transmits the specified recipe and the associated personnel information to the meal distribution management platform; The meal distribution management platform receives the meal distribution data sent by the personal terminal, and feeds back the meal collection data to the personal terminal.

2. The management system combining personnel healthy life and personalized diet according to claim 1, characterized in that: The comprehensive analysis module performs comprehensive analysis based on basic health information and physical examination data of the personnel, and the analysis results include health risk assessment and dietary recommendations.

3. The management system combining healthy life and personalized diet according to claim 2 is characterized in that: The health management platform generates a health report through a comprehensive analysis module according to a set period and sends it to the personal terminal.

4. The management system combining personnel's healthy life and personalized diet according to claim 3 is characterized in that: The health risk assessment is as follows: The comprehensive analysis module pre-processes the basic health data, constructs multiple decision trees based on the processed data to perform classification and regression analysis, and obtains a comprehensive evaluation result through a voting mechanism.

5. The management system combining personnel's healthy life and personalized diet according to claim 3 is characterized in that: The specific process of obtaining the dietary advice is as follows: Pre-processing of personal basic health data; Building a food database, the food database including dish names, nutritional ingredients and types; Calculate the current individual's basal metabolic rate, obtain the current individual's exercise data, and calculate the total energy consumption; Obtain the current personal health goals and calculate nutritional needs based on total energy consumption; According to the user's health data and nutritional health needs, the food database is retrieved to obtain the current personal required dishes data; Based on the required dish data and according to the set rules and constraints, dietary suggestions are obtained and recipes are generated.

6. The management system combining healthy life and personalized diet of personnel according to claim 5, characterized in that: The rule constraints include: nutritional balance rules, health restriction rules and taste preference rules; The nutritional balance rule is that the nutritional parameters provided by the dish are within the set ratio range; The health restriction rules refer to the dishes, seasonings and methods that comply with the taboo requirements of personal health risk assessment; The taste preference rule is to give priority to using the parameter data in the current individual's historical recipes.

7. The management system combining personnel healthy life and personalized diet according to claim 1, characterized in that: The recipe formulation module also includes recipe collaborative filtering recommendations, including recipe recommendations based on similarities between users and recipe recommendations based on similarities between dishes; The recipe recommendations based on the similarities between the users are as follows: Calculate the cosine similarity or Pearson similarity coefficient between users to identify other users with similar tastes to the target user; Retrieve the dietary choices of similar users and recommend them to target users; The recipe recommendation based on dish similarity is as follows: The target user's historical dishes are obtained as the target dishes. By calculating the similarity between dishes, other dishes similar to the target dish are identified and recommended to the target user.

8. The management system combining healthy life and personalized diet of personnel according to claim 1, characterized in that: The recipe formulation module also includes recipe content recommendations, as follows: Construct a feature vector for each dish, including type, taste, and nutritional data; Build user profiles based on the user's basic health data and rule constraints; Calculate the similarity between dish features and user portraits, and filter out dishes that best match user needs from the food database.

9. The management system combining healthy life and personalized diet of personnel according to claim 1, characterized in that: The recipe formulation module also includes mixed recipe recommendations, as follows: The candidate results generated by recipe collaborative filtering recommendation and recipe content recommendation and their scores are weighted and combined as follows: R=w1·RCF+w2·RCB Among them, R represents the final recommendation result, RCF and RCB represent collaborative filtering and content recommendation results respectively, and w1 and w2 represent weights.

10. A management method combining healthy living and personalized diet for personnel, characterized in that: A management system combining healthy living and personalized diet for personnel based on any one of claims 1 to 9, comprising: S1: The user enters basic health information through a personal terminal; S2: The physical examination data module of the health management platform obtains the corresponding physical examination data from the third-party physical examination system based on the basic health information of the personnel entered in the information module; S3: Preprocess basic health information and physical examination data of personnel, construct a health data set, and build a comprehensive analysis model for comprehensive analysis to obtain health risk assessment and dietary recommendations; S4: The recipe formulation module generates a specified recipe based on the analysis results and sends it to the meal distribution management platform and the personal terminal; S5: The personal terminal interacts and confirms with the meal matching management platform based on the specified recipe, and the meal matching management platform matches the meal according to the specified recipe and generates a unique identifier at the same time; S6: The user confirms the meal pickup based on the unique identifier and completes the meal pickup.

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