CN211319727U - Intelligent family healthy diet recommendation system - Google Patents
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- CN211319727U CN211319727U CN201921582110.8U CN201921582110U CN211319727U CN 211319727 U CN211319727 U CN 211319727U CN 201921582110 U CN201921582110 U CN 201921582110U CN 211319727 U CN211319727 U CN 211319727U
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Abstract
The embodiment of the utility model discloses healthy diet recommendation system of intelligence family, including physiological parameter measuring device, user information detection device, environmental parameter detection device and data processing device, physiological parameter measuring device is used for acquireing user's physiological data, user information detection device is used for acquireing user information, environmental parameter detection device is used for acquireing environmental data, data processing device is used for the basis user's physiological data user information reaches environmental data recommends the diet scheme for the user. In this way, the embodiment of the utility model provides a can be intelligent recommend the diet scheme to the user to the diet scheme of recommending for the user is considered to the multidimension degree, and the recommendation result is more pertinent user, has promoted user experience.
Description
Technical Field
The embodiment of the utility model provides a healthy diet technical field especially relates to a healthy diet recommendation system of intelligent home.
Background
With the development of the internet of things technology and the improvement of the living standard of residents, the change of people to the traditional living idea is stimulated, so that the demand for the intellectualization of family living diet is increased day by day. The demand of the public on diet has been changed from 'full' to 'good eating', and the diet concept of paying attention to the diet balance has been gradually deepened.
More and more intelligent home furnishing is connected into an intelligent control equipment system, valuable user data can be obtained more and more, and the method has important significance for recommending a healthy diet scheme with balanced nutrition for a user from multiple dimensions.
SUMMERY OF THE UTILITY MODEL
The embodiment of the utility model provides a healthy diet recommendation system of intelligent home through the data of automatic a plurality of dimensions of acquireing, recommends balanced healthy diet scheme for the user according to the data of these a plurality of dimensions.
In order to solve the technical problem, the utility model discloses a technical scheme is: provided is an intelligent family healthy diet recommendation system, comprising: the system comprises a physiological parameter measuring device, a user information detecting device, an environmental parameter detecting device and a data processing device, wherein the physiological parameter measuring device, the user information detecting device and the environmental parameter detecting device are respectively connected with the data processing device;
the physiological parameter measuring device is used for acquiring user physiological data and sending the user physiological data to the data processing device;
the user information detection device is used for acquiring user information and sending the user information to the data processing device;
the environment parameter detection device is used for acquiring environment data and sending the environment data to the data processing device;
the data processing device is used for recommending a diet scheme for the user according to the user physiological data, the user information and the environment data.
Optionally, the physiological parameter measuring device comprises a sleep monitoring device, and the sleep monitoring device is connected with the data processing device;
the sleep monitoring device is used for monitoring the sleep information of the user and sending the sleep information to the data processing device;
the data processing device is used for generating a sleep label according to the sleep information and acquiring a first taboo dish label according to the sleep label and a preset diet knowledge map;
the data processing device is further configured to recommend a diet plan for the user based on the user information, the environmental data, and the first contraindicated food label.
Optionally, the physiological parameter measuring device further comprises a skin measuring instrument, and the skin measuring instrument is connected with the data processing device;
the skin measuring instrument is used for detecting skin information of the user and sending the skin information to the data processing device;
the data processing device is used for generating a skin type label according to the skin type information and acquiring a second contraindicated dish label according to the skin type label and the preset diet knowledge map;
the data processing device is further configured to recommend a diet plan for the user based on the user information, the environmental data, the first contraindicated food item tag, and the second contraindicated food item tag.
Optionally, the user information detection device is an intelligent terminal, and the intelligent terminal is connected with the data processing device;
the intelligent terminal is used for acquiring personal information, disease and dietetic information of the user;
the data processing apparatus is configured to:
acquiring nutrient element data required by the user according to the personal information of the user;
acquiring a third contraindication dish label according to the disease, the contraindication information and the preset diet knowledge map;
the data processing device is further configured to recommend a diet plan for the user according to the nutrient element data required by the user, the environmental data, the first contraindicated food item tag, the second contraindicated food item tag, and the third contraindicated food item tag.
Optionally, the environment parameter detection device is a network card device, and the network card device is connected with the data processing device;
the network card equipment is used for acquiring environmental data from the Internet;
the data processing device is used for generating an environment label according to the environment data and acquiring a fourth taboo dish label according to the environment label and the preset diet knowledge map;
the data processing device is further used for recommending a diet scheme for the user according to the nutrient element data required by the user, the first contra-indicated dish item label, the second contra-indicated dish item label, the third contra-indicated dish item label and the fourth contra-indicated dish item label.
Optionally, the environmental parameter detection device includes a temperature sensor, a humidity sensor and an air detector, and the temperature sensor, the humidity sensor and the air detector are respectively connected to the data processing device;
the temperature sensor is used for detecting the temperature of an application scene;
the humidity sensor is used for detecting the humidity of an application scene;
the air detector is used for detecting the air quality index of an application scene;
the data processing device is used for generating an environment label according to the temperature, the humidity and the air quality index, and acquiring a fourth taboo dish label according to the environment label and the preset diet knowledge map;
the data processing device is further used for recommending a diet scheme for the user according to the nutrient element data required by the user, the first contra-indicated dish item label, the second contra-indicated dish item label, the third contra-indicated dish item label and the fourth contra-indicated dish item label.
Optionally, the data processing device includes a computing terminal and a cloud server, and the computing terminal is connected to the cloud server, the physiological parameter measuring device, the user information detecting device, and the environmental parameter detecting device respectively;
the computing terminal is used for carrying out data caching and data processing on the user physiological data, the user information and the environment data and sending the processed data to the cloud server;
the cloud server is used for calculating the processed data to obtain the diet scheme of the user.
Optionally, the system further includes an intelligent home device, and the intelligent home device is connected to the data processing apparatus;
the intelligent household equipment is used for acquiring the existing food material information and sending the existing food material information to the data processing device;
the data processing device is used for recommending a diet scheme for the user according to the user physiological data, the user information, the environment data and the existing food material information.
Optionally, the smart home device includes at least one of: intelligence refrigerator, intelligent insulation can and intelligent fresh-keeping cabinet.
Optionally, the system further comprises a display device, the display device is connected with the data processing device;
the display device is used for acquiring the recommended diet scheme from the data processing device and displaying the recommended diet scheme.
The embodiment of the utility model provides a beneficial effect is: be different from prior art's condition, the utility model discloses intelligent family healthy diet recommendation system includes physiological parameter measuring device, user information detection device, environmental parameter detection device and data processing device, and physiological parameter measuring device is used for acquireing user's physiological data, and user information detection device is used for acquireing user information, and environmental parameter detection device is used for acquireing environmental data, and data processing device is used for the basis user's physiological data user information reaches environmental data recommends the diet scheme for the user. According to the implementation method, the physiological data, the user information and the environmental data of the user can be automatically acquired, the diet scheme is recommended to the user based on multi-dimensional consideration, and the user experience is improved.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a schematic structural diagram of an intelligent family healthy diet recommendation system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent family healthy diet recommendation system according to another embodiment of the present invention.
Detailed Description
In order to facilitate understanding of the present invention, the present invention will be described in more detail with reference to the accompanying drawings and specific embodiments. It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present. In addition, the description refers to the terms "first XX", "second XX", and the like, wherein the reference to "first", "second", and the like is only used for distinguishing the terms and is not used for limiting the priority of the terms.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Referring to fig. 1, an intelligent family health diet recommendation system 1000 according to an embodiment of the present invention includes: a physiological parameter measuring device 100, a user information detecting device 200, an environmental parameter detecting device 300 and a data processing device 400, wherein the physiological parameter measuring device 100, the user information detecting device 200 and the environmental parameter detecting device 300 are respectively connected with the data processing device 400; the physiological parameter measuring device 100 is configured to obtain user physiological data and send the user physiological data to the data processing device 400, the user information detecting device 200 is configured to obtain user information and send the user information to the data processing device 400, the environment parameter detecting device 300 is configured to obtain environment data and send the environment data to the data processing device 400, and the data processing device 400 is configured to recommend a diet scheme for a user according to the user physiological data, the user information, and the environment data.
The physiological parameter measuring device 100 can be a sleep monitoring device, a skin measuring instrument, a body fat scale, a blood pressure meter, a blood glucose meter, etc., wherein the sleep monitoring device can be a sleep belt, an intelligent pillow, an intelligent mattress, etc., which can collect physiological signals of a human body during sleep. The user information detection apparatus 200 may be an intelligent terminal, such as a smart phone, a tablet computer, an intelligent bracelet, a notebook computer, or other electronic devices with a user interaction function. The environment parameter detecting device 300 may be a network card device, a temperature sensor, a humidity sensor, an air detector, or the like. The data processing apparatus 400 may be any suitable type of processor with certain logic operation capability, such as a single chip, a microprocessor, or a Central Processing Unit (CPU).
It should be noted that, the process of recommending the diet plan for the user by the data processing device 400 according to the user physiological data, the user information and the environment data may be completed by a hardware module, for example, the data processing device 400 includes a memory for storing the user physiological data, the user information and the environment data, and a controller for operating the data stored in the memory through a preset algorithm to obtain the diet plan. The preset algorithm adopted by the controller to operate the data can refer to the prior art. The controller may be an internal controller or an external controller, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip, an arm (acorn RISC machine), or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Also, the controller may be any conventional processor, controller, microcontroller, or state machine. The controller may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
In this embodiment, the physiological parameter measuring device 100 includes a sleep monitoring device 101 and a skin measuring instrument 102, and the sleep monitoring device 101 and the skin measuring instrument 102 are respectively connected to the data processing device 400.
The sleep monitoring apparatus 101 is configured to monitor sleep information of a user and send the sleep information to the data processing apparatus 400. The sleep information includes a total sleep time period, a deep sleep time period, a light sleep time period, body movement information, snoring information, heart rate, respiration, and the like. The data processing device 400 is configured to generate a sleep tag according to the sleep information, and obtain a first taboo dish tag according to the sleep tag and a preset diet knowledge map. The sleep label refers to information for evaluating the sleep condition of the user, and the information may be some keywords, for example, the sleep label is insomnia, shallow sleep, snoring, fast heart rate, and the like. The preset diet knowledge map refers to health diet knowledge including sleep, skin and environment, knowledge of food material efficacy and the like constructed by using the knowledge map. The first contraindicated food label refers to food material information suitable for the user to eat and/or food material information not suitable for the user to eat, which is obtained from the diet knowledge map according to the sleep label of the user. For example, the monitored sleep information of the user includes that the number of body movements is greater than the preset number and the deep sleep time is less than the preset time, the sleep label generated according to the sleep information is 'poor sleep quality', the first contraindicated food label obtained according to the 'poor sleep quality' sleep label and the preset diet knowledge graph includes that sesame, beans, coffee, tea, chocolate and the like are forbidden to be eaten before sleep, and lotus seeds, milk, honey and the like are preferably eaten.
The skin tester 102 is configured to detect skin information of a user and send the skin information to the data processing device 400. The skin tester 102 detects the skin condition of the user through hardware devices, including skin type, skin problems (e.g., pox, fine lines, pigmented spots, dark circles, etc.). The data processing device 400 is configured to generate a skin type label according to the skin type information, and obtain a second tabu dish label according to the skin type label and the preset diet knowledge map. The skin type label refers to information for evaluating the skin condition of the user, and the information may be keywords, for example, the skin type label is sensitive muscle, oily skin, pox, water shortage, and the like. The second contraindicated dish label refers to food material information suitable for the user to eat and/or food material information not suitable for the user to eat, which is obtained from the diet knowledge map according to the skin type label of the user. For example, the detected skin information of the user is the skin problem with the pox, the skin label generated according to the skin information is the 'pox muscle', and the second dish label which can be obtained according to the 'pox muscle' skin label and the preset diet knowledge map comprises the dish labels of avoiding eating the hot pepper, the pimento, the pepper, the beef, the mutton and the like, and is suitable for eating the fresh vegetables, the fruits and the like.
Wherein the data processing apparatus 400 is further configured to recommend a diet plan for the user based on the user information, the environmental data, the first contraindicated food item tag, and the second contraindicated food item tag. For example, the user information includes that the user is normal in height, normal in weight, and slightly high in cholesterol, the environment data includes air drying, the first contraindicated food label is that sesame, beans, coffee, tea, chocolate and the like are prohibited from eating before sleep, lotus seeds, milk, honey and the like are prohibited from eating, the second contraindicated food label is that pepper, pimento, pepper, beef, mutton and the like are prohibited from eating, fresh vegetables, fruits and the like are prohibited from eating, and then the recommended diet scheme is as follows: the user can not eat high-fat and high-calorie foods such as egg yolk, lard and the like in daily life, the user can not eat foods such as hot pepper, spicy pepper, pepper and the like which are easy to cause excessive internal heat in daily life, and can not eat beef, mutton and the like, the user can not eat sesame, beans, coffee, tea, chocolate and the like before sleeping, the user can eat fresh vegetables, fresh fruits and more water in daily life, and the user can eat foods such as lotus seeds, milk, honey and the like in small amount before sleeping.
In this embodiment, the user information detection apparatus 200 is an intelligent terminal 201, and the intelligent terminal 201 is connected to the data processing apparatus 400. The intelligent terminal 201 can be a terminal device such as a smart phone, a tablet computer, an intelligent bracelet, a portable computer, and the like, and the intelligent terminal 201 can run other application programs capable of loading and displaying a webpage and can also receive input operation of a user. The intelligent terminal 201 is configured to acquire personal information, disease information, and dietetic information of a user, and send the personal information, the disease information, and the dietetic information to the data processing apparatus 400. The personal information, the disease and the dietetic information may be actively input to the smart terminal 201 by the user, or the personal information of the user, the disease and the dietetic information of the user, and the like, which are searched by the smart terminal 201 through various application programs installed on the smart terminal 201. The personal information of the user comprises information such as name, age, sex, height, weight, location, personal preference and the like of the user. The data processing device 400 calculates nutrient element data required by the user, which may be nutrient elements required by the user for one day, according to the personal information of the user. The nutrient element data can provide reference for the subsequent quantitative calculation of the intake of the food material. For example, the personal information of the user comprises the height, weight, age and sex of the user, and the daily required nutrient element information such as calcium, iron, vitamins and the like of the user can be calculated according to the height, weight, age and sex data. The data processing device 400 obtains a third contraindicated food label according to the disease, the contraindicated information and the preset diet knowledge map. The third contraindication dish label is food material information suitable for the user to eat and/or food material information not suitable for the user to eat, which is obtained from the diet knowledge map according to diseases and contraindication information of the user. For example, if the user has hypertension and is prohibited from eating kelp, then a third contraindicated food label may be obtained including: edible black fungus, watermelon, tomato and bitter gourd are suitable, and kelp, wine, multi-salt food and the like are not suitable for eating.
Wherein the data processing apparatus 400 is further configured to recommend a diet plan for the user according to the nutrient element data required by the user, the environmental data, the first contra-indicated food label, the second contra-indicated food label, and the third contra-indicated food label. For example, the data of the nutrient elements required by the user is that the user needs to supplement calcium, the environmental data is air drying, the first edible vegetable label is that sesame, beans, coffee, tea, chocolate and the like are forbidden to eat before sleep, lotus seeds, milk, honey and the like are forbidden to eat, the second edible vegetable label is that pepper, pimento, pepper, beef, mutton and the like are forbidden to eat, fresh vegetables, fruits and the like are forbidden to eat, the third edible vegetable label is that black fungus, watermelon, tomato, bitter gourd are forbidden to eat, kelp, wine, multi-salt food and the like are forbidden to eat, and then the recommended diet scheme is as follows: in daily life, a user can drink one cup of milk, eat more fresh vegetables and fruits and drink more water, eat no high-fat and high-heat food such as egg yolk, lard and the like as far as possible, avoid eating spicy food and the like which easily cause excessive internal heat, eat less beef, mutton and the like, avoid eating sesame, beans, coffee, tea, chocolate and the like before sleeping, and eat less lotus seeds, milk, honey and the like before sleeping.
In this embodiment, the environment parameter detecting device 300 is a network card device 301, the network card device 301 is connected to the data processing device 400, and the network card device 301 is configured to enable the system 1000 to access the internet, so as to obtain environment data from the internet and send the environment data to the data processing device 400. The data processing device 400 generates an environment tag according to the environment data, and acquires a fourth taboo dish tag according to the environment tag and the preset diet knowledge map. The environment data includes environment parameters such as temperature, humidity, air quality index, and the like of a scene to which the system 1000 is currently applied. The environment tag refers to information for evaluating the current environment, which may be some keywords, such as dry, humid, dusty, cold, hot, and so on. The fourth taboo dish label refers to food material information suitable for the user to eat and/or food material information not suitable for the user to eat, which is obtained from the diet knowledge map according to the environment label.
The environment data may be obtained through some hardware set by the current application scenario, in addition to being obtained from the internet. For example, referring to fig. 2 as well, the environmental parameter detecting device 300 may further include a temperature sensor 302, a humidity sensor 303, and an air detector 304. The temperature sensor 302, the humidity sensor 303 and the air detector 304 are respectively connected to the data processing device 400, the temperature sensor 302 is configured to detect a temperature of an application scene, the humidity sensor 303 is configured to detect a humidity of the application scene, and the air detector 304 is configured to detect an air quality index of the application scene. The data processing device 400 is configured to generate an environment tag according to the temperature, the humidity, and the air quality index, and obtain the fourth taboo dish tag according to the environment tag and the preset diet knowledge map. For example, if the collected ambient temperature is minus 2 degrees celsius, the relative humidity of air is 60%, and the air quality index is 68, the generated ambient label is "cold", "appropriate humidity", and "good air", and the fourth contraindicated dish label is: uncooked and cold foods such as ice cream are forbidden to eat, and warm and nourishing foods such as chicken soup are suitable to eat.
Wherein the data processing apparatus 400 is further configured to recommend a diet plan for the user according to the nutrient element data required by the user, the first contra-indicated food item label, the second contra-indicated food item label, the third contra-indicated food item label, and the fourth contra-indicated food item label. For example, the data of the nutrient elements required by the user is that the user needs to supplement calcium, the first contraindicated food label is that sesame, beans, coffee, tea, chocolate and the like are prohibited from being eaten before sleep, lotus seeds, milk, honey and the like are prohibited from being eaten, the second contraindicated food label is that pepper, beef, mutton and the like are prohibited from being eaten, fresh vegetables, fruits and the like are prohibited from being eaten, the third contraindicated food label is that black fungus, watermelon, tomato and bitter gourd are prohibited from being eaten, kelp, wine, multi-salt food and the like are prohibited from being eaten, the fourth contraindicated food label is that raw and cold food such as ice cream is prohibited from being eaten, warm and supplement food such as chicken soup and the like are prohibited from being eaten, and the recommended diet scheme is as follows: the user can drink one cup of milk, more fresh vegetables and fruits and more water every day in daily life, properly eat warm nourishing food such as chicken soup, eat no high-fat and high-calorie food and uncooked and cold food such as egg yolk, lard, ice cream and the like as far as possible, avoid eating spicy and hot food which easily causes excessive internal heat, eat less beef, mutton and the like, avoid eating sesame, beans, coffee, tea, chocolate and the like before sleeping, and eat a small amount of lotus seed, milk, honey and the like before sleeping.
The personal information of the user is height, weight, sex, personal preference and the like, and nutrition calculation can be performed according to the personal information to accurately obtain the content of nutrient elements (such as protein, sugar, fat, vitamins and the like) which the user should take every day. When the data processing device 400 recommends the diet plan according to the nutritional element data, the first, second, third, and fourth taboo dish tags required by the user, a diet plan including food materials and the corresponding quantity or weight of the food materials may be obtained according to the nutritional element data required by the user, and then the weight of the food materials may be increased or decreased or removed by combining the first, second, third, and fourth taboo dish tags, for example, if the food materials are low in cholesterol, eggs, pork livers, etc., and the food materials that are contraindicated may be directly removed.
In this embodiment, the data processing apparatus 400 includes a computing terminal 401 and a cloud server 402, and the computing terminal 401 is connected to the cloud server 402, the physiological parameter measuring apparatus 100, the user information detecting apparatus 200, and the environmental parameter detecting apparatus 300 respectively. The computing terminal 401 may be any suitable type of processor device having user interaction means and computing capabilities, such as a desktop computer, a server, or a server cluster of servers. The cloud server 402 may be a cloud computing service center. The computing terminal 401 is configured to perform data caching and data processing on the user physiological data, the user information, and the environment data, and send the processed data to the cloud server 402. Specifically, the computing terminal 401 is configured to perform data caching and data processing on sleep information, skin information, disease and diet information, ambient temperature, ambient humidity, air quality index, and the like of the user. The cloud server 402 performs complex operation on the processed data to obtain the first, second, third and fourth taboo dish labels, and obtains the diet scheme by combining the diet knowledge map and the personal information of the user. The diet scheme comprises dishes, the consumption amount of the dishes, the consumption time of the dishes (for example, the dish A is suitable for breakfast and the dish B is suitable for lunch), dish introduction (for example, food material information, cooking modes and the like can be included), user information suitable for the dishes and the like. When one dish is suitable for being eaten by multiple users, the dish quantity can be calculated according to the number of the edible users. In addition, after the method is oriented to a large number of users and a large amount of behavior data are collected, a coordinated filtering recommendation algorithm can be used for recommending favorite dishes or favorite recipes similar to users for the families of the users on the basis of dividing the user groups, so that a 'no-chance' surprise is caused.
In some embodiments, referring to fig. 2 as well, the system 1000 further includes an intelligent home device 500, and the intelligent home device 500 is connected to the data processing apparatus 400, specifically, to the computing terminal 401. The smart home device 500 is configured to acquire existing food material information and send the existing food material information to the data processing apparatus 400, and the data processing apparatus 400 is configured to recommend a diet scheme for a user according to the user physiological data, the user information, the environmental data, and the existing food material information. Existing food materials may be prioritized when recommending a dietary plan. Wherein, intelligent household equipment includes: intelligent refrigerator, intelligent insulation can and intelligent fresh-keeping cabinet etc.. Existing dish information may be identified based on image recognition techniques. For example, the user physiological data includes that the body fat is higher, the user information includes that mutton is prohibited by the user, the environmental data includes that the air is cold and the humidity is high, the existing food material information includes Chinese cabbage, beef, mutton, radish and potato chips, and then the diet scheme which can be recommended for the user according to the user physiological data, the user information, the environmental data and the existing food material information is as follows: the Chinese cabbage, beef and radish can be eaten according to the existing food materials, the beef and the radish can be used for stewing, and the mutton and the potato chips can not be eaten.
In some embodiments, referring also to fig. 2, the system 1000 further includes a display device 600, the display device 600 is connected to the cloud server 402, and the display device 600 is configured to obtain the recommended dietary plan from the data processing device 400 and display the recommended dietary plan. The display device 600 includes a mobile phone terminal, a home magic mirror, an intelligent range hood and other equipment with a screen. The display device 600 may display the diet plan in various ways, such as displaying a menu and displaying a photo of the food material in the menu, etc.
The embodiment of the utility model provides a beneficial effect is: be different from prior art's condition, the utility model discloses intelligent family healthy diet recommendation system includes physiological parameter measuring device, user information detection device, environmental parameter detection device and data processing device, and physiological parameter measuring device is used for acquireing user's physiological data, and user information detection device is used for acquireing user information, and environmental parameter detection device is used for acquireing environmental data, and data processing device is used for the basis user's physiological data user information reaches environmental data recommends the diet scheme for the user. According to the implementation method, the physiological data, the user information and the environmental data of the user can be automatically acquired, so that the diet scheme recommended to the user is intelligentized, the diet scheme recommended to the user is considered in multiple dimensions, the recommendation result is more appropriate for the user, and the user experience is improved.
It should be noted that the preferred embodiments of the present invention are described in the specification and the drawings, but the present invention can be realized in many different forms, and is not limited to the embodiments described in the specification, and these embodiments are not provided as additional limitations to the present invention, and are provided for the purpose of making the understanding of the disclosure of the present invention more thorough and complete. Moreover, the above technical features are combined with each other to form various embodiments which are not listed above, and all the embodiments are regarded as the scope of the present invention; further, modifications and variations will occur to those skilled in the art in light of the foregoing description, and it is intended to cover all such modifications and variations as fall within the true spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. An intelligent home health diet recommendation system, comprising: the system comprises a physiological parameter measuring device, a user information detecting device, an environmental parameter detecting device and a data processing device, wherein the physiological parameter measuring device, the user information detecting device and the environmental parameter detecting device are respectively connected with the data processing device;
the physiological parameter measuring device is used for acquiring user physiological data and sending the user physiological data to the data processing device;
the user information detection device is used for acquiring user information and sending the user information to the data processing device;
the environment parameter detection device is used for acquiring environment data and sending the environment data to the data processing device;
the data processing device is used for recommending a diet scheme for the user according to the user physiological data, the user information and the environment data;
the system further comprises intelligent household equipment and a display device, wherein the intelligent household equipment and the display device are respectively connected with the data processing device.
2. The intelligent home health diet recommendation system according to claim 1, characterized in that the physiological parameter measuring device comprises a sleep monitoring device, the sleep monitoring device being connected with the data processing device.
3. The intelligent home health diet recommendation system according to claim 2, characterized in that the physiological parameter measuring device further comprises a skin tester, and the skin tester is connected with the data processing device.
4. The intelligent home health diet recommendation system according to claim 3, characterized in that the user information detection device is an intelligent terminal, and the intelligent terminal is connected with the data processing device.
5. The intelligent home health diet recommendation system according to claim 4, characterized in that the environment parameter detection device is a network card device, and the network card device is connected with the data processing device.
6. The intelligent home health diet recommendation system according to claim 4, wherein the environmental parameter detection device comprises a temperature sensor, a humidity sensor and an air detector, and the temperature sensor, the humidity sensor and the air detector are respectively connected to the data processing device.
7. The intelligent home health diet recommendation system according to any one of claims 1 to 6, wherein the data processing device comprises a computing terminal and a cloud server, and the computing terminal is connected with the cloud server, the physiological parameter measurement device, the user information detection device and the environmental parameter detection device respectively.
8. The intelligent home health diet recommendation system in accordance with claim 1, wherein the smart home device comprises at least one of: intelligence refrigerator, intelligent insulation can and intelligent fresh-keeping cabinet.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112735562A (en) * | 2021-01-25 | 2021-04-30 | 珠海格力电器股份有限公司 | Diet recommendation method and device, electronic equipment and storage medium |
| CN113407581A (en) * | 2021-05-18 | 2021-09-17 | 中电海康集团有限公司 | Catering recommendation method and system for combination of multiple persons in family |
| CN115295123A (en) * | 2022-08-17 | 2022-11-04 | 慕思健康睡眠股份有限公司 | Diet recommendation method, device, equipment and medium based on sleep big data |
-
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| CN113407581B (en) * | 2021-05-18 | 2024-06-11 | 中电海康集团有限公司 | Family multi-person combined catering recommendation method and system |
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