CN113707251A - Big health intelligent management system based on big data - Google Patents
Big health intelligent management system based on big data Download PDFInfo
- Publication number
- CN113707251A CN113707251A CN202110998873.6A CN202110998873A CN113707251A CN 113707251 A CN113707251 A CN 113707251A CN 202110998873 A CN202110998873 A CN 202110998873A CN 113707251 A CN113707251 A CN 113707251A
- Authority
- CN
- China
- Prior art keywords
- user
- information
- fitness
- scheme
- diet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Physical Education & Sports Medicine (AREA)
- Nutrition Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application relates to a big health intelligent management system based on big data, which comprises a server module, a user side and intelligent wearable equipment, wherein the server module is used for establishing a big health information management platform, receiving user information uploaded by the user side, analyzing and storing the user information to generate a health maintenance scheme, reminding a user in real time according to the health maintenance scheme, simultaneously acquiring and analyzing behavior data information and body data information of the user in real time, and alarming abnormal body data information; the user side is used for registering and logging in the big health information management platform by a user, uploading user information of the user side to obtain a health maintenance scheme, browsing body data information of the user side, and timely receiving prompt information and alarm information sent by the server module; the intelligent wearable device is used for collecting behavior data information and body data information of a user in real time and uploading the behavior data information and the body data information to the health information management platform. The method and the device have the effect of effectively helping the user to form a good and healthy living habit to realize the great health.
Description
Technical Field
The application relates to the field of big health management, in particular to a big health intelligent management system based on big data.
Background
The general health is a global idea provided according to the change of times development, social needs and disease spectrum. The health management system is provided under the guidance of an idea of comprehensively caring the whole life process, focuses on various dangerous factors and error regions influencing health around the clothes and the eating and housing of people and the life, and advocates self health management. It pursues not only the physical health of an individual but also the complete health in terms of mental, psychological, physiological, social, environmental, ethical, etc. The advocated method not only has scientific healthy life, but also has correct healthy consumption and the like. Its scope relates to all types of health-related information, products and services, and to the actions taken by all types of organizations to meet the health needs of society.
The new China is established since the innovation is opened, the innovation development in the health field of China obtains remarkable achievements, the urban and rural environmental appearance is obviously improved, the nationwide fitness exercise is vigorously developed, the medical and health service system is increasingly healthy, and the health level and physical quality of people are continuously improved. The life expectancy of the population in China reaches 76.34 years, the death rate of infants, the death rate of children under 5 years and the death rate of pregnant and lying-in women are respectively reduced to 8.1 per thousand, 10.7 per thousand and 20.1/10 ten thousand in 2015, the average level of the death rate and the death rate of the pregnant and lying-in women is generally superior to the average level of the middle-high income countries, and an important foundation is laid for comprehensively building a well-off society. Meanwhile, industrialization, urbanization, population aging, disease spectrum change, ecological environment and life style change and the like also bring a series of new challenges to the maintenance and health promotion, the contradiction between the general shortage of health service supply and the continuous increase of demand is still outstanding, and the coordination between the development of the health field and the development of the economic society needs to be enhanced.
Chinese patent publication No. CN109431479A discloses a health management system, the technical scheme is characterized by comprising a portable multi-parameter detector and an intelligent management platform, wherein the portable multi-parameter detector is carried by a user, the portable multi-parameter detector is connected with the intelligent management platform, the data of the portable multi-parameter detector is transmitted to the intelligent management platform, the intelligent management platform calculates and stores daily total calorie intake and total calorie consumption, the intelligent management platform calculates daily value of the total calorie intake minus the total calorie consumption, through the cooperation of the portable multi-parameter detector and the intelligent management platform, the calorie intake and the calorie consumption of the user are monitored every day, and calculating to obtain the calorie allowance, and further monitoring the daily diet of the user. However, only daily energy intake and energy consumption of a user are monitored and recorded, reports are regularly given, only a simple function of recording data is achieved, the user cannot be effectively helped to form a good and healthy living habit, subjective initiative of the user is excessively relied on, and reminding and help for the user are lacked, so that the user cannot effectively and quickly form the good and healthy living habit to help the user keep a healthy body.
For the related technologies, the inventor thinks that the existing health management system only plays a role in recording and reporting, cannot make a perfect healthy living scheme for the user according to the self condition of the user, and cannot effectively help the user to form a good healthy living habit.
Disclosure of Invention
In order to solve the problems that the existing health management system only plays a role of recording and reporting and cannot make a perfect healthy life scheme for a user according to the self condition of the user and cannot effectively help the user to form a good healthy life habit, the application provides a big health intelligent management system based on big data.
A big health intelligent management system based on big data comprises a server module, a user side and intelligent wearable equipment, wherein the server module, the user side and the intelligent wearable equipment are in communication connection;
the server module is used for establishing a big health information management platform, receiving user information uploaded by a user side, analyzing and storing the user information, generating a health maintenance scheme, reminding the user in real time according to the health maintenance scheme, collecting and analyzing behavior data information and body data information of the user in real time, and alarming abnormal body data information;
the user side is used for registering and logging in the big health information management platform by a user, uploading user information of the user side to obtain a health maintenance scheme, browsing body data information of the user side, and timely receiving prompt information and alarm information sent by the server module;
the intelligent wearable device is used for collecting behavior data information and body data information of a user in real time and uploading the behavior data information and the body data information to the health information management platform.
By adopting the technical scheme, a large health information management platform is established through the server module, user information is analyzed, a health maintenance scheme is customized for a user according to the actual situation of the user, good body-building habits and eating habits are developed for the user, the user is helped to maintain physical health, and the user is helped to prevent and control chronic diseases; the intelligent wearable device collects and analyzes the behavior data information and the body data information of the user in real time, the user is reminded and supervised to execute a health maintenance scheme, abnormal body data information is alarmed, the user can timely find the occurrence of diseases in advance, the effect of preventing the occurrence of the diseases is achieved, the high-efficiency disease treatment and health maintenance is changed to the early discovery of the occurrence of the diseases and the health maintenance, the big health concept is achieved, and the effect of effectively helping the user to form good and healthy living habits and achieve the big health is achieved.
Preferably, the server module comprises a user information management sub-module, a user information analysis sub-module and a health scheme generation sub-module;
the user information management submodule is used for receiving and storing user information uploaded by a user side and behavior data information and body data information of a user acquired by intelligent acquisition equipment, wherein the user information comprises user age information, user gender information, user living position information, user eating habit information, user body building habit information, body condition information and chronic medical history information;
the user information analysis submodule is used for analyzing and extracting user information to generate a user information portrait and a user label, analyzing and monitoring the received behavior data information and body data information, and alarming abnormal body data information; the user labels comprise a diet taste label, a diet dietetic exclusion label, an age level label, a body building tendency label, a body building preference mode label, a body building purpose direction label, a chronic disease label and a key body data label;
the health scheme generation sub-module is used for customizing and generating a health maintenance scheme of the user according to the user information portrait generated by the user information analysis sub-module and the user tag matching with the diet scheme and the fitness scheme suitable for the user.
By adopting the technical scheme, the user information of the user is stored and analyzed through the arrangement of the user information management submodule and the user information analysis submodule, so that a user information portrait and a user label are generated, and the health scheme generation submodule is facilitated to personally make an optimal health maintenance scheme for the user according to the user information portrait and the user label; meanwhile, the behavior data information and the body data information of the user collected by the intelligent collection equipment are analyzed and stored, so that the follow-up continuous improvement of user information portraits is facilitated, the health scheme generation submodule is convenient to regularly adjust and supplement the health maintenance scheme of the user, the efficiency of keeping the health of the user to prevent diseases is further improved, the health management platform is convenient to know the execution condition of the user on the health maintenance scheme in real time, further a prompt is sent to the user, the user is supervised and urged to build body and adjust diet, and the effect of effectively helping the user to form good and healthy living habits and realizing great health is achieved.
Preferably, the health plan generation sub-module comprises a diet database unit, a diet plan matching unit, a fitness database unit and a fitness plan matching unit; the diet database unit is used for storing various food basic information and various recipe information to form a diet database, and the diet scheme matching unit is used for matching optimized food information and recommended recipe information for the user in the diet database unit according to the user label information and generating a diet scheme; the fitness database unit is used for storing fitness scheme information and fitness teaching information to form a fitness database, and the fitness scheme matching unit is used for matching a fitness place and a fitness mode for a user according to the user information portrait and the user label information to further generate a fitness scheme.
By adopting the technical scheme, the optimal food information and the recommended recipe information which accord with the taste and are healthy can be screened for the user according to the age, diet dieting contraindication, body data of the user and whether the user has chronic diseases or not by arranging the diet database unit and the diet scheme matching unit, and a diet scheme is generated, so that the diet preference of the user is met, the user is helped to eat healthily, and the good diet habit of the user is facilitated; the fitness database unit and the fitness scheme matching unit are used for matching fitness places and fitness modes for the user according to the user information portrait and the user label information of the user so as to generate a fitness scheme, the fitness scheme which is in line with the user preference is formulated for the user, the difficulty of the user in developing fitness habits is reduced, and the user is promoted to develop good fitness habits.
Preferably, the diet plan matching unit matches the preferred food information and the recommended recipe information for the user and generates the diet plan specifically includes the following steps:
the diet scheme matching unit matches a plurality of food information and diet recipe information which accord with the age level in the diet database according to the age level label of the user;
the diet scheme matching unit screens out food information and diet recipe information which are not suitable for the user to eat according to the diet dietetic prohibition label and the chronic disease label of the user to obtain a plurality of suitable food information and diet recipe information;
the diet scheme matching unit screens out a plurality of pieces of preferable food information and recommended diet information which accord with the diet taste of the user and the nutrition collocation principle from a plurality of pieces of suitable food information and diet information according to a preset diet collocation principle and a diet taste label of the user, and generates a diet scheme after distributing according to three meals.
By adopting the technical scheme, the food materials suitable for the user to eat and the corresponding diet recipes are matched for the user through the diet scheme matching unit according to the user tags, and a plurality of pieces of preferred food information and recommended recipe information which accord with the diet taste of the user and the nutrition matching principle are further matched according to the preset diet matching principle and the diet taste tags of the user, so that the diet preference of the user is met, the user is helped to eat healthily, and the user is helped to develop good diet habits.
Preferably, the diet scheme comprises a breakfast diet recommendation scheme, a lunch recommendation scheme and a dinner recommendation scheme, the breakfast diet recommendation scheme, the lunch recommendation scheme and the dinner recommendation scheme all comprise a plurality of pieces of preferred food information and recommended diet recipe information related to the preferred food, and the recommended diet recipe information comprises diet way graphic course information and diet way video link information.
By adopting the technical scheme, the user can select the corresponding food material to cook and eat according to the actual condition and the requirement of the user after receiving the health maintenance scheme, and the cooking diversity of the food material can be improved by recommending a new learning recipe of the food material for the dietary recipe informatics, so that the user can be helped to keep good dietary habits.
Preferably, the step of generating the fitness plan by matching the fitness place and the fitness mode for the user by the fitness plan matching unit specifically comprises the following steps:
the fitness scheme matching unit matches a plurality of fitness modes suitable for the user in the fitness database according to the age level label of the user;
the fitness scheme matching unit screens a plurality of fitness schemes suitable for the user according to the fitness tendency label and the fitness purpose direction label of the user to obtain a plurality of fitness modes meeting the requirements of the user;
the fitness scheme matching unit screens out a plurality of preferentially recommended fitness modes from a plurality of fitness schemes meeting the requirements of the user according to the fitness favorite labels of the user and sends the fitness modes to the user side, and fitness scheme information is generated according to one or a plurality of fitness modes selected by the user.
By adopting the technical scheme, the fitness mode suitable for fitness of the user is matched for the user through the fitness scheme matching unit according to the multi-dimensional information of the user, and the fitness scheme meeting the preference of the user is formulated for the user according to the fitness mode selected by the user, so that the difficulty of the user in developing fitness habits is reduced, and the user is promoted to develop good fitness habits.
Preferably, the fitness scheme matching unit is connected with a map API (application programming interface), the fitness scheme matching unit obtains map resource information around the user in real time through the map API to obtain a plurality of public fitness sites, the public fitness sites comprise fitness footpaths, fitness squares and parks, and the public fitness sites are matched for the user according to the fitness scheme information of the user.
By adopting the technical scheme, the fitness scheme matching unit acquires map resource information around the user in real time through the map API interface to obtain a plurality of public fitness sites, and matches the public fitness sites suitable for fitness according to the fitness mode selected by the user and the fitness scheme, so that the fitness efficiency of the user can be effectively improved, the phenomenon that the user contracts due to the fact that the place in the house is not abundant or the fitness sites cannot be found is restrained, and the good fitness habit of the user is facilitated.
Preferably, the fitness scheme information includes a recommended fitness schedule, single-time fitness content information, fitness site recommendation information, a fitness auxiliary equipment list and fitness teaching information, and the fitness teaching information includes fitness teaching video information and fitness teaching graphic information.
By adopting the technical scheme, the user can be helped to efficiently and correctly exercise by generating a perfect exercise scheme for the user, the phenomenon that the user is injured in the exercise process due to lack of cognition is avoided, and meanwhile, the efficiency of the user in developing a good exercise habit is effectively improved.
Preferably, the server module further comprises a science popularization pushing unit, and the science popularization pushing unit is used for pushing health science popularization knowledge information to the user regularly according to the user information portrait and the user label.
Through adopting above-mentioned technical scheme, through the setting of science popularization propelling movement unit, the healthy knowledge deposit of the promotion user that accumulates over the long and months improves the big health consciousness of user, helps the user to consciously develop good habits and customs, helps the healthy of user.
Preferably, the server module further comprises a supervision reminding sub-module, and the supervision reminding sub-module is used for supervising and reminding the execution condition of the user through the user information analysis sub-module and the intelligent wearable device according to the health maintenance scheme.
By adopting the technical scheme, the behavior data information and the body data information of the user collected by the intelligent acquisition equipment are analyzed and stored through the supervision reminding submodule by the user information analysis submodule, so that the supervision reminding submodule can conveniently know the execution condition of the user to the health maintenance scheme in real time, and further remind the user, supervise and supervise the user to build body and adjust diet, and the effect of effectively helping the user to form good and healthy living habits to realize great health is achieved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. a large health information management platform is established through a server module, user information is analyzed, a health maintenance scheme is formulated for a user in a personalized mode according to the actual situation of the user, good fitness habits and eating habits are developed for the user, the user is helped to keep body health, and the user is helped to prevent and control chronic diseases; the intelligent wearable equipment collects and analyzes the behavior data information and the body data information of the user in real time, reminds and supervises the user to execute a health maintenance scheme, and gives an alarm for abnormal body data information, so that the user can timely and previously discover the occurrence of diseases, the effect of preventing the occurrence of the diseases is achieved, the disease maintenance is changed from high-efficiency disease treatment to early disease prevention, the health is further maintained, the concept of big health is realized, and the effect of effectively helping the user form a good and healthy living habit and realizing the big health is achieved;
2. through the arrangement of the diet database unit and the diet scheme matching unit, the optimal food information and the recommended recipe information which accord with the taste and are healthy can be screened for the user according to the age, diet contraindication and body data of the user and whether the user has chronic diseases or not, and a diet scheme is generated, so that the diet preference of the user is met, the user is helped to eat healthily, and the good diet habit of the user is helped to be formed; the fitness database unit and the fitness scheme matching unit are used for matching fitness places and fitness modes for the user according to the user information portrait and the user label information of the user so as to generate a fitness scheme, so that the fitness scheme which is in line with the user preference is formulated for the user, the difficulty of the user in developing fitness habits is reduced, and the user is promoted to develop good fitness habits;
3. the fitness scheme matching unit acquires map resource information around the user in real time through the map API interface to obtain a plurality of public fitness places, and matches the public fitness places suitable for fitness according to the fitness mode selected by the user and the fitness scheme, so that the fitness efficiency of the user can be effectively improved, the phenomenon that the user contracts due to the fact that the place in the house is not abundant or the fitness place cannot be found is avoided, and the good fitness habit of the user is facilitated;
4. through the setting of science popularization propelling movement unit, the healthy knowledge deposit of the promotion user that accumulates day by day improves the big health consciousness of user, helps the user to form good habit voluntarily, helps the healthy of user.
Drawings
FIG. 1 is a system block diagram of a big health intelligence management system in an embodiment of the present application;
FIG. 2 is a block diagram of a diet plan generation step in an embodiment of the present application;
fig. 3 is a frame of the exercise program creation step in the embodiment of the present application.
Description of reference numerals: 1. a server module; 11. a user information management submodule; 12. a user information analysis submodule; 13. a health scheme generation submodule; 131. a diet database unit; 132. a diet plan matching unit; 133. a fitness database unit; 134. a fitness scheme matching unit; 135. a map API interface; 14. a science popularization pushing unit; 15. a supervision reminding submodule; 2. a user side; 3. intelligent wearing equipment.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a big health intelligent management system based on big data. Referring to fig. 1, a big health intelligent management system based on big data, including server module 1, user 2 and intelligent wearing equipment 3, server module 1, user 2 and intelligent wearing equipment 3 mutual communication connection. The server module 1 is used for establishing a big health information management platform, receiving the user information uploaded by the user side 2, analyzing and storing the user information, generating a health maintenance scheme, reminding the user in real time according to the health maintenance scheme, simultaneously collecting and analyzing behavior data information and body data information of the user in real time, and alarming abnormal body data information. The user end 2 is used for a user to register and log in the big health information management platform, upload own user information to obtain a health maintenance scheme, browse own body data information and timely receive prompt information and alarm information sent by the server module 1. The intelligent wearable device 3 is used for collecting behavior data information and body data information of a user in real time and uploading the behavior data information and the body data information to the health information management platform. Intelligent wearing equipment 3 selects intelligent bracelet as prior art in this embodiment. A big health information management platform is established through the server module 1, user information is analyzed, a health maintenance scheme is formulated for a user in a personalized mode according to the actual situation of the user, the good fitness habits and eating habits of the user are facilitated to be developed, the body health of the user is facilitated to be maintained, and the user is facilitated to prevent and control chronic diseases. The intelligent wearable device 3 collects and analyzes the behavior data information and the body data information of the user in real time, the user is reminded and supervised to execute a health maintenance scheme, abnormal body data information is alarmed, the user can timely find the occurrence of diseases in advance, the effect of preventing the occurrence of the diseases is achieved, the disease is effectively treated to be kept healthy, the disease is found in advance, the disease is prevented to be kept healthy, the health concept is achieved, and the effect of effectively helping the user form good and healthy living habits to achieve the health is achieved.
Referring to fig. 1, the server module 1 includes a user information management sub-module 11, a user information analysis sub-module 12, and a health plan generation sub-module 13. The user information management submodule 11 is configured to receive and store user information uploaded by the user side 2 and behavior data information and body data information of a user acquired by the intelligent acquisition device. The user information comprises user age information, user gender information, user living position information, user eating habit information, user body building habit information, physical condition information and chronic medical history information. The user information analysis submodule 12 is used for analyzing and extracting user information to generate a user information portrait and a user label, analyzing and monitoring the received behavior data information and body data information, and alarming abnormal body data information. The user labels comprise a diet taste label, a diet dietetic restraint label, an age level label, a body building tendency label, a body building preference mode label, a body building purpose direction label, a chronic disease label and a key body data label. The health scheme generation sub-module 13 is used for customizing and generating a health maintenance scheme of the user according to the user information portrait generated by the user information analysis sub-module 12 and the user tag matching with the diet scheme and the fitness scheme suitable for the user. Through the arrangement of the user information management sub-module 11 and the user information analysis sub-module 12, the user information of the user is stored and analyzed, and further a user information portrait and a user label are generated, so that the health scheme generation sub-module 13 is facilitated to individually make an optimal health maintenance scheme for the user according to the user information portrait and the user label. Meanwhile, the behavior data information and the body data information of the user, which are acquired by the intelligent acquisition equipment, are analyzed and stored, so that the follow-up continuous improvement of the user information picture is facilitated, the health scheme generation submodule 13 can conveniently adjust and supplement the health maintenance scheme of the user regularly, and the efficiency of keeping the health of the user to prevent diseases is further improved. And the health management platform can conveniently know the execution condition of the user on the health maintenance scheme in real time, further remind the user, supervise and urge the user to build body and adjust diet, and effectively help the user to form a good and healthy living habit to realize the effect of big health.
Referring to fig. 1, the health plan generation sub-module 13 includes a diet database unit 131, a diet plan matching unit 132, a fitness database unit 133, and a fitness plan matching unit 134. The diet database unit 131 stores basic information of various foods and recipe information of various foods to form a diet database, and the diet plan matching unit 132 is configured to match preferred food information and recommended recipe information for the user in the diet database unit 131 according to the user tag information and generate a diet plan. The fitness database unit stores fitness scheme information and fitness teaching information to form a fitness database, and the fitness scheme matching unit 134 is used for matching a fitness place and a fitness mode for a user according to the user information portrait and the user tag information to generate a fitness scheme. Through the arrangement of the diet database unit 131 and the diet scheme matching unit 132, the optimal food information and the recommended recipe information which accord with the taste and are healthy can be screened for the user according to the age, diet contraindication and body data of the user and whether the user has chronic diseases or not, and a diet scheme is generated, so that the diet preference of the user is met, the user is helped to eat healthily, and the user is helped to develop good diet habits; the fitness database unit 133 and the fitness scheme matching unit 134 match fitness places and fitness modes for the user according to the user information portrait and the user label information of the user to generate a fitness scheme, so that the fitness scheme which is in line with the user preference is formulated for the user, the difficulty of the user in developing fitness habits is reduced, and the user is promoted to develop good fitness habits.
Referring to fig. 2, the diet plan matching unit 132 matches the preferred food information and the recommended recipe information for the user and generates the diet plan specifically includes the steps of:
a1, matching according to the age level label of the user: the diet scheme matching unit 132 matches a plurality of food information and diet recipe information according with the age level in the diet database according to the age level label of the user;
a2, removing according to the diet dietetic restraint label and the chronic disease label of the user: the diet scheme matching unit 132 screens out food information and diet recipe information which are not suitable for the user to eat according to the diet dietetic prohibition tag and the chronic disease tag of the user to obtain a plurality of suitable food information and diet recipe information;
a3, matching and generating a diet scheme according to a preset diet collocation principle and a diet taste label of a user: the diet plan matching unit 132 screens a plurality of pieces of preferred food information and recommended diet information which accord with the diet taste of the user and the nutrition collocation principle from a plurality of pieces of suitable food information and diet information according to a preset diet collocation principle and a diet taste label of the user, and generates a diet plan after distributing according to three meals. The food materials suitable for the user to eat and the corresponding diet recipes are matched for the user through the diet scheme matching unit 132 according to the user tags, and a plurality of pieces of preferable food information and recommended recipe information which accord with the diet taste of the user and accord with the nutrition matching principle are further matched according to the preset diet matching principle and the diet taste tags of the user, so that the diet preference of the user is met, the user is helped to eat healthily, and the good diet habit of the user is helped.
Referring to fig. 1, the diet plans include a breakfast diet recommendation plan, a lunch recommendation plan, and a dinner recommendation plan. The breakfast diet recommendation scheme, the lunch recommendation scheme and the dinner recommendation scheme all contain a plurality of pieces of preferred food information and recommended diet recipe information related to the preferred food. The recommended diet recipe information comprises diet practice graphic course information and diet practice video link information. The user can select corresponding food materials to cook and eat according to self actual conditions and requirements after receiving the health maintenance scheme, and can also improve the cooking diversity of the food materials through recommending a new recipe for learning the food materials of the dietary recipe informatics, and the user can be helped to keep good dietary habits.
Referring to fig. 3, the step of matching the exercise location and the exercise mode for the user by the exercise scheme matching unit 134 to generate the exercise scheme specifically includes the following steps:
b1, obtaining a plurality of fitness modes suitable for the user through matching: the fitness scheme matching unit 134 matches a plurality of fitness modes suitable for the user in the fitness database according to the age level labels of the user;
b2, screening to obtain a plurality of fitness modes meeting the requirements of users: the fitness scheme matching unit 134 screens a plurality of fitness schemes suitable for the user according to the fitness tendency labels and the fitness purpose direction labels of the user to obtain a plurality of fitness modes meeting the requirements of the user;
b3, generating body-building scheme information according to one or a plurality of body-building modes selected by the user: the fitness scheme matching unit 134 screens out a plurality of preferred recommended fitness modes from a plurality of fitness schemes meeting the user requirements according to the fitness preference labels of the user, and sends the selected fitness modes to the user terminal 2, and generates fitness scheme information according to one or more fitness modes selected by the user. The fitness scheme matching unit 134 matches fitness modes suitable for fitness of the user for the user according to the multi-dimensional information of the user, and formulates the fitness scheme meeting the preference of the user for the user according to the fitness mode selected by the user, so that the difficulty of the user in developing fitness habits is reduced, and the user is promoted to develop good fitness habits.
Referring to fig. 1, the fitness plan information includes a recommended fitness schedule, single fitness content information, fitness site recommendation information, a list of fitness auxiliary equipment, and fitness teaching information. The body-building teaching information comprises body-building teaching video information and body-building teaching graphic information. By generating a perfect fitness scheme for the user, the user can be helped to efficiently and correctly exercise, the phenomenon that the user is injured in the fitness process due to lack of cognition is avoided, and meanwhile, the efficiency of the user in developing a good fitness habit is effectively improved.
Referring to fig. 1, the fitness plan matching unit 134 is connected to a map API interface 135, and the map API interface 135 may adopt a Baidu map API, a google map API, a high-grade map API, a dog search map API, or a map API interface 135 of another map platform. The fitness scheme matching unit 134 obtains map resource information around the user in real time through the map API 135 to obtain a plurality of public fitness sites, wherein the public fitness sites comprise fitness footpaths, fitness squares and parks, and the public fitness sites are matched for the user according to the fitness scheme information of the user. The fitness scheme matching unit 134 obtains map resource information around the user in real time through the map API 135 to obtain a plurality of public fitness sites, and matches the public fitness sites suitable for fitness according to the fitness mode and the fitness scheme selected by the user, so that the fitness efficiency of the user can be effectively improved. Meanwhile, the phenomenon that the user contracts due to the fact that the place is not spacious at home or the user cannot find the fitness place is avoided, and the user can develop good fitness habits.
Referring to fig. 1, the server module 1 further includes a science popularization pushing unit 14, where the science popularization pushing unit 14 is configured to periodically push the health science popularization knowledge information to the user according to the user information portrait and the user tag. Through the arrangement of the science popularization pushing unit 14, the health knowledge storage of the user is promoted day by day, the big health consciousness of the user is improved, the user can consciously develop good living habits, and the physical health of the user is facilitated.
Referring to fig. 1, the server module 1 further includes a supervision and reminding sub-module 15, where the supervision and reminding sub-module 15 is configured to supervise and remind the execution status of the user through the user information analysis sub-module 12 and the intelligent wearable device 3 according to the health maintenance scheme. Through the setting of supervision reminding submodule 15, the behavior data information and the body data information of the user collected by the intelligent acquisition equipment are analyzed and stored through user information analysis submodule 12, so that supervision reminding submodule 15 can know the execution condition of the user to the health maintenance scheme in real time, and then remind the user, supervise and supervise the user to build body and adjust diet, and the effect of effectively helping the user to form good and healthy living habits to realize great health is achieved.
The above examples are only used to illustrate the technical solutions of the present invention, and do not limit the scope of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, fall within the scope of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still make various combinations, additions, deletions or other modifications of the features of the embodiments of the present invention according to the situation without conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, and these technical solutions also fall within the protection scope of the present invention.
Claims (10)
1. The utility model provides a big healthy intelligent management system based on big data which characterized in that: the intelligent wearable device comprises a server module (1), a user side (2) and an intelligent wearable device (3), wherein the server module (1), the user side (2) and the intelligent wearable device (3) are in communication connection with each other;
the server module (1) is used for establishing a big health information management platform, receiving user information uploaded by the user side (2), analyzing and storing the user information to generate a health maintenance scheme, reminding the user in real time according to the health maintenance scheme, collecting and analyzing behavior data information and body data information of the user in real time, and alarming abnormal body data information;
the user side (2) is used for a user to register and log in a big health information management platform, upload own user information to obtain a health maintenance scheme, browse own body data information and timely receive prompt information and alarm information sent by the server module (1);
the intelligent wearable device (3) is used for acquiring behavior data information and body data information of a user in real time and uploading the behavior data information and the body data information to the big health information management platform.
2. The big data-based big health intelligent management system according to claim 1, wherein: the server module (1) comprises a user information management submodule (11), a user information analysis submodule (12) and a health scheme generation submodule (13);
the user information management submodule (11) is used for receiving and storing user information uploaded by the user side (2) and behavior data information and body data information of a user acquired by the intelligent acquisition equipment, wherein the user information comprises user age information, user gender information, user living position information, user eating habit information, user body building habit information, body condition information and chronic medical history information;
the user information analysis submodule (12) is used for analyzing and extracting user information to generate a user information portrait and a user label, analyzing and monitoring the received behavior data information and body data information, and alarming abnormal body data information; the user labels comprise a diet taste label, a diet dietetic exclusion label, an age level label, a body building tendency label, a body building preference mode label, a body building purpose direction label, a chronic disease label and a key body data label;
the health scheme generation sub-module (13) is used for customizing and generating a health maintenance scheme of the user according to the user information portrait generated by the user information analysis sub-module (12) and the user tag matching with the diet scheme and the fitness scheme suitable for the user.
3. The big data-based big health intelligent management system according to claim 2, wherein: the health scheme generation sub-module (13) comprises a diet database unit (131), a diet scheme matching unit (132), a fitness database unit (133) and a fitness scheme matching unit (134); the diet database unit (131) is used for storing basic information of various foods and information of various recipes to form a diet database, and the diet scheme matching unit (132) is used for matching optimized food information and recommended recipe information for a user in the diet database unit (131) according to the user label information and generating a diet scheme; the fitness database unit (133) stores fitness scheme information and fitness teaching information to form a fitness database, and the fitness scheme matching unit (134) is used for matching a fitness place and a fitness mode for a user according to the user information portrait and the user label information to generate a fitness scheme.
4. The big data-based big health intelligent management system according to claim 3, wherein: the diet scheme matching unit (132) matches the preferred food information and the recommended recipe information for the user and generates the diet scheme specifically comprises the following steps:
the diet scheme matching unit (132) matches a plurality of food information and diet recipe information which accord with the age level in the diet database according to the age level label of the user;
the diet scheme matching unit (132) screens out food information and diet recipe information which are not suitable for the user to eat according to the diet dietetic label and the chronic disease label of the user to obtain a plurality of suitable food information and diet recipe information;
the diet scheme matching unit (132) screens out a plurality of pieces of preferable food information and recommended recipe information which accord with the diet taste of the user and the nutrition collocation principle from a plurality of pieces of suitable food information and diet recipe information according to a preset diet collocation principle and a diet taste label of the user, and generates a diet scheme after distributing according to three meals.
5. The big data-based big health intelligent management system according to claim 4, wherein: the diet scheme comprises a breakfast diet recommendation scheme, a lunch recommendation scheme and a dinner recommendation scheme, wherein the breakfast diet recommendation scheme, the lunch recommendation scheme and the dinner recommendation scheme all comprise a plurality of preferred food information and recommended diet recipe information related to the preferred food, and the recommended diet recipe information comprises diet way image-text tutorial information and diet way video link information.
6. The big data-based big health intelligent management system according to claim 3, wherein: the fitness scheme matching unit (134) is used for matching a fitness place and a fitness mode for a user so as to generate the fitness scheme and specifically comprises the following steps:
the fitness scheme matching unit (134) matches a plurality of fitness modes suitable for the user in the fitness database according to the age level label of the user;
the fitness scheme matching unit (134) screens a plurality of fitness schemes suitable for the user according to the fitness tendency labels and the fitness purpose direction labels of the user to obtain a plurality of fitness modes meeting the requirements of the user;
the fitness scheme matching unit (134) screens out a plurality of preferentially recommended fitness modes from a plurality of fitness schemes meeting the user requirements according to the fitness preference labels of the user and sends the selected fitness modes to the user side (2), and fitness scheme information is generated according to one or a plurality of fitness modes selected by the user.
7. The big data-based big health intelligent management system according to claim 6, wherein: the fitness scheme matching unit (134) is connected with a map API (application program interface) (135), the fitness scheme matching unit (134) obtains map resource information around the user in real time through the map API (135) to obtain a plurality of public fitness fields, the public fitness fields comprise fitness footpaths, fitness squares and parks, and the public fitness fields are matched for the user according to the fitness scheme information of the user.
8. The big data-based big health intelligent management system according to claim 6, wherein: the fitness scheme information comprises a recommended fitness schedule, single fitness content information, fitness site recommendation information, a fitness auxiliary equipment list and fitness teaching information, and the fitness teaching information comprises fitness teaching video information and fitness teaching graphic information.
9. The big data-based big health intelligent management system according to claim 2, wherein: the server module (1) further comprises a science popularization pushing unit (14), and the science popularization pushing unit (14) is used for pushing health science popularization knowledge information to the user regularly according to the user information portrait and the user label.
10. The big data-based big health intelligent management system according to claim 2, wherein: the server module (1) further comprises a supervision reminding sub-module (15), and the supervision reminding sub-module (15) is used for supervising and reminding the execution condition of the user through the user information analysis sub-module (12) and the intelligent wearable device (3) according to the health maintenance scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110998873.6A CN113707251A (en) | 2021-08-28 | 2021-08-28 | Big health intelligent management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110998873.6A CN113707251A (en) | 2021-08-28 | 2021-08-28 | Big health intelligent management system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113707251A true CN113707251A (en) | 2021-11-26 |
Family
ID=78656306
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110998873.6A Pending CN113707251A (en) | 2021-08-28 | 2021-08-28 | Big health intelligent management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113707251A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105631788A (en) * | 2015-05-27 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Information processing methods, information processing apparatuses and information processing system |
| CN105741212A (en) * | 2016-03-28 | 2016-07-06 | 美的集团股份有限公司 | Health management system, platform and method |
| CN106250673A (en) * | 2016-07-20 | 2016-12-21 | 美的集团股份有限公司 | A kind of dietary recommendations continued and evaluation methodology, intelligent terminal, Cloud Server and system |
| CN106845066A (en) * | 2016-12-06 | 2017-06-13 | 珠海格力电器股份有限公司 | Human health monitoring system |
| CN113221012A (en) * | 2021-05-31 | 2021-08-06 | 北京海纳数聚科技有限公司 | Community fitness activity recommendation method based on group portrait |
-
2021
- 2021-08-28 CN CN202110998873.6A patent/CN113707251A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105631788A (en) * | 2015-05-27 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Information processing methods, information processing apparatuses and information processing system |
| CN105741212A (en) * | 2016-03-28 | 2016-07-06 | 美的集团股份有限公司 | Health management system, platform and method |
| CN106250673A (en) * | 2016-07-20 | 2016-12-21 | 美的集团股份有限公司 | A kind of dietary recommendations continued and evaluation methodology, intelligent terminal, Cloud Server and system |
| CN106845066A (en) * | 2016-12-06 | 2017-06-13 | 珠海格力电器股份有限公司 | Human health monitoring system |
| CN113221012A (en) * | 2021-05-31 | 2021-08-06 | 北京海纳数聚科技有限公司 | Community fitness activity recommendation method based on group portrait |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107480851A (en) | A kind of intelligent health management system based on endowment robot | |
| TW201228632A (en) | Health monitoring system | |
| CN102768712A (en) | Method and arrangement for arranging an information service to determine nutrition and/or medication | |
| CN106339579B (en) | A kind of diet control method of mobile health and medical treatment | |
| CA3192699A1 (en) | Systems and methods for user-specific modulation of nutrient intake | |
| CN111261260B (en) | Diet recommendation system | |
| CN110020165A (en) | A kind of dietary recommendations continued method and domestic robot | |
| CN107658001A (en) | A kind of home-use oily health control method and system | |
| CN107062794A (en) | Intelligent refrigerator, its control method and control system | |
| CN110164526A (en) | A kind of intelligent eating and drinking recommender system | |
| KR102583636B1 (en) | Method for recommendating user-customized salad considering calories | |
| CN108597572A (en) | a kind of intelligent health planning system | |
| CN106845066A (en) | Human health monitoring system | |
| CN105380599A (en) | Human health management method based on intelligent bracelet | |
| KR20220071725A (en) | System and method for providing customized hmr baby food by monitoring nutrition and digestion condition | |
| CN106642970A (en) | Nutrition judgment system and judgment method of intelligent refrigerator | |
| Orte et al. | Dynamic Decision Support System for Personalised Coaching to Support Active Ageing. | |
| CN113707251A (en) | Big health intelligent management system based on big data | |
| KR20210052123A (en) | Method for providing user-customized food information service and server using the same | |
| CN116417114A (en) | Student healthy diet management system based on full life cycle | |
| CN105388821B (en) | A kind of monitoring method of resident's food consumption data | |
| CN116127170A (en) | Novel network engine system | |
| CN116312964A (en) | Human nutrition evaluation management method and device for whole population | |
| Tusor et al. | Personalized dietary assistant—An intelligent space application | |
| CN108335750A (en) | The method and its system and computer program product of dynamic analysis blood glucose value |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |