CN113742579A - Food recommendation method and device for refrigerator, storage medium and refrigerator - Google Patents

Food recommendation method and device for refrigerator, storage medium and refrigerator Download PDF

Info

Publication number
CN113742579A
CN113742579A CN202110932940.4A CN202110932940A CN113742579A CN 113742579 A CN113742579 A CN 113742579A CN 202110932940 A CN202110932940 A CN 202110932940A CN 113742579 A CN113742579 A CN 113742579A
Authority
CN
China
Prior art keywords
information
food
user
refrigerator
current
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
Application number
CN202110932940.4A
Other languages
Chinese (zh)
Inventor
冯达
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen TCL New Technology Co Ltd
Original Assignee
Shenzhen TCL New Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen TCL New Technology Co Ltd filed Critical Shenzhen TCL New Technology Co Ltd
Priority to CN202110932940.4A priority Critical patent/CN113742579A/en
Publication of CN113742579A publication Critical patent/CN113742579A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a food recommendation method, a food recommendation device, a storage medium and a refrigerator of the refrigerator, wherein the refrigerator comprises a display screen, and the method comprises the following steps: receiving a food recommendation request of a user; acquiring current user characteristic information and current climate information of a user; and acquiring first target recommended food information according to the current user characteristic information and the current climate information, and displaying the first target recommended food information on the display screen. According to the method and the device, the accuracy of food recommendation can be improved, and therefore personalized requirements of different users are met.

Description

Food recommendation method and device for refrigerator, storage medium and refrigerator
Technical Field
The application belongs to the technical field of refrigerator equipment, and particularly relates to a food recommendation method, a food recommendation device, a storage medium and a refrigerator of the refrigerator.
Background
With the popularization of computers and the continuous and powerful functions of computers, traditional household appliances such as air conditioners, refrigerators, range hoods, washing machines, televisions and the like also start to become more and more intelligent and humanized, the family living environment of people is gradually improved, and the quality of life of the family is improved.
In the related art, a refrigerator can manage the condition of food stored in the refrigerator, but the refrigerator cannot meet personalized requirements of different users.
Disclosure of Invention
The embodiment of the application provides a food recommendation method and device for a refrigerator, a storage medium and the refrigerator, which can improve the accuracy of food recommendation and further meet personalized requirements of different users.
In a first aspect, an embodiment of the present application provides a food recommendation method for a refrigerator, where the refrigerator includes a display screen, and the method includes:
receiving a food recommendation request of a user;
acquiring current user characteristic information and current climate information of the user;
and acquiring first target recommended food information according to the current user characteristic information and the current climate information, and displaying the first target recommended food information on the display screen.
Optionally, after the first target recommended food information is acquired from a cloud server according to the current user information and the current climate information, the method further includes:
obtaining historical food storage information of the refrigerator by the user, wherein the historical food storage information comprises types of food storage and the number of times of storing each type of food;
determining food preference information of the user according to the historical stored food information, wherein the food preference information comprises favorite food types of the user and priorities of the favorite food types of the user;
and acquiring second target recommended food information according to the current user characteristic information, the current climate information and the food preference information, and displaying the second target recommended food information on the display screen.
Optionally, after the first target recommended food information is acquired from a cloud server according to the current user information and the current climate information, the method further includes:
acquiring current stored food information of the refrigerator, wherein the current stored food information comprises types of current stored food and shelf lives of each type of food;
and determining the food information required to be purchased by the user according to the currently stored food information, the first target recommended food information and the second target recommended food information, and prompting the user to purchase the food required to be purchased.
Optionally, after determining food information to be purchased by the user according to the currently stored food information, the first target recommended food information and the second target recommended food information, and prompting the user to purchase the food to be purchased, the method further includes:
obtaining target food collocation information according to the current stored food information, the first target recommended food information and the second target recommended food information;
and acquiring target recipe information according to the target food collocation information.
Optionally, before obtaining the target recipe information according to the target food collocation information, the method further includes:
acquiring the diet favorite information of the user, wherein the diet favorite information comprises favorite dishes and favorite tastes of the user;
and acquiring the target recipe information according to the diet preference information and the target food collocation information.
Optionally, before the obtaining the target recipe information according to the diet preference information and the target food collocation information, the method further includes:
acquiring healthy diet information of the user;
and acquiring the target recipe information according to the healthy diet information, the diet preference information and the target food collocation information.
Optionally, the current user specific information includes body type information, age information, and health information of the user.
In a second aspect, an embodiment of the present application further provides a food recommendation device for a refrigerator, where the refrigerator includes a display screen, and the device includes:
the receiving module is used for receiving a food recommendation request of a user;
the first acquisition module is used for acquiring the current user characteristic information and the current climate information of the user;
and the second acquisition module is used for acquiring first target recommended food information according to the current user characteristic information and the current climate information and displaying the first target recommended food information on the display screen.
In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed on a computer, the computer program is enabled to execute the food recommendation method for a refrigerator according to any one of the above items.
In a fourth aspect, embodiments of the present application further provide a refrigerator, including:
a main body;
the display screen is arranged on the main body and used for displaying information;
the detection device is arranged on the main body and is used for detecting the current user characteristic information and the current climate information of the user;
a memory storing a computer program;
a processor for executing the food recommendation method of the refrigerator according to any one of the above by calling the computer program stored in the memory.
The embodiment of the application provides a food recommendation method for a refrigerator, which comprises the steps of receiving a food recommendation request of a user; acquiring current user characteristic information and current climate information of a user; and acquiring first target recommended food information according to the current user characteristic information and the current climate information, and displaying the first target recommended food information on the display screen. According to the method and the device, the accuracy of food recommendation can be improved, and therefore personalized requirements of different users are met.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments will be briefly described below. In the following description, like reference numerals denote like parts. It is obvious that the drawings in the following description are only some embodiments of the application, and that other drawings can be derived from these drawings by a person skilled in the art without inventive effort.
Fig. 1 is a first flowchart of a food recommendation method for a refrigerator according to an embodiment of the present application.
Fig. 2 is a second flowchart of a food recommendation method for a refrigerator according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a food recommendation device of a refrigerator according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a refrigerator provided in an embodiment of the present application.
Fig. 5 is a structural block diagram of a refrigerator provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the described embodiments are merely exemplary of some, and not all, of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The frequency of the household appliances used in daily life is more and more, and the refrigerator is taken as the household appliance commonly used in the life of people, so that great convenience is brought to the life of people. With the advance of intelligent technology and the maturity of the intellectualization of household appliances, the refrigerator can meet more requirements of users. The current social rhythm is getting faster, and some unreasonable habits and customs of users lead to a series of health problems, and especially unreasonable dietary structure threatens the physical health of users, and healthy dietary methods are more and more concerned by users. However, foods recommended by the refrigerator in the related art are often general foods, and the most accurate recommended foods cannot be given according to different users and the preferences of the different users, that is, personalized requirements of the different users cannot be met.
In order to solve the above problems, embodiments of the present application provide a food recommendation method, a detection device, a storage medium, and a refrigerator. Referring to fig. 1, fig. 1 is a first flowchart illustrating a food recommendation method for a refrigerator according to an embodiment of the present application. The specific process of the method can be as follows:
101, receiving a food recommendation request of a user.
The refrigerator in this embodiment can be intelligent refrigerator, and the effect of refrigerator itself is the refrigeration, and for making its intellectuality, the refrigerator can include the display screen, and this display screen can set up the door body outside one side at the refrigerator, if the refrigerator is the refrigerator that singly opens the door, then directly sets up the door body outside one side at the refrigerator, if the refrigerator is two refrigerators that open the door, can set up the refrigerator in the outside one side of arbitrary one door body.
In some embodiments, the refrigerator receiving the food recommendation request of the user may be a request actively initiated by the user, or may be a food recommendation request automatically detected by the refrigerator. For example, a display screen of the refrigerator may be provided with a camera, and when a user stands within a range in which the camera acquires an image, the camera may automatically acquire image information of the user and control the refrigerator to enter a food recommendation mode according to the image information of the user. For another example, when the user wants to obtain food recommendation, the user may touch the display screen to enable the refrigerator to enter the food recommendation mode, may also control the refrigerator to enter the food recommendation mode through voice, may also enable the refrigerator to enter the food recommendation mode through touching a physical key or a virtual key on the refrigerator, and the like, which is not limited herein.
In some embodiments, the refrigerator may establish a short-range communication with the electronic device of the user, and receive a food recommendation request sent by the electronic device of the user through the short-range communication, for example, through a wireless communication manner such as bluetooth or wireless fidelity. The electronic device of the user may be a mobile phone or a smart wearable device, such as a smart bracelet or the like.
102, obtaining current user characteristic information and current climate information of a user.
After the refrigerator enters the food recommendation mode, current user characteristic information and current climate information of the user may be detected by a detection device provided in the refrigerator. The detection device may include an infrared sensor, a thermometer, a hygrometer, etc., but may also be other functional devices for detecting the characteristic information of the person and the climate, and is not limited in particular.
The current user characteristic information of the user may include body type information, age information, health information, and the like of the user. Body shape information of the user such as height, weight, etc. of the user; health information such as a user's body fat rate, exercise amount data, sleep quality, heart beat condition, presence or absence of disease, disease history or allergy history, and the like. The current body state of the user can be obtained in real time according to the current user characteristic information, the food which can be ingested and can not be ingested by the user, the content of the food which can be ingested and the like can be determined according to the current user characteristic information, and the intake quantity of the user for the three nutrients of carbohydrate, fat and protein can be determined. The current user characteristics may reflect different physical condition information of different users.
The current climate information may include current season information, current temperature information, current humidity information, and the like. The types of food suitable for the user to eat in the current season can be obtained according to the current season information, for example, the food suitable for eating in summer and cooling in summer, the food suitable for using in winter and keeping warm and the like. According to the current temperature information and the current humidity information, the time that food suitable for the current season can be stored and the food suitable for use in the current weather can be obtained, for example, the shelf lives of the same food in summer and winter are different, for example, the weather in summer can be rainy weather or sunny weather, and the food corresponding to different weather can be obtained.
103, acquiring first target recommended food information according to the current user characteristic information and the current climate information, and displaying the first target recommended food information on a display screen.
After the refrigerator acquires the current user characteristic information and the current climate information of a user, first target recommended food information can be acquired according to the current user characteristic information and the current climate information, the first target recommended food information can include food existing in the refrigerator or food not existing in the refrigerator, the first target recommended food information is displayed on a display screen, and different prompting modes can be respectively adopted for displaying, for example, the food existing in the refrigerator can be displayed in green, and the food not existing in the refrigerator can be displayed in red.
The user can select the food which the user wants to use currently according to the first recommended food information displayed on the display screen, if the food is already stored in the refrigerator, the storage amount and the storage position of the food can be displayed on the display screen, so that the user can conveniently open the refrigerator and quickly find the food, the quantity which needs to be purchased can be displayed for the food which is not stored in the refrigerator, for example, the storage amount of the food and the current storage space of the refrigerator can be updated in real time according to the current storage space of the refrigerator, the shelf life of the food and the like, and if the user takes the food out of the refrigerator.
Because a certain food user may not buy the same food once, may buy the same food many times, or different users buy the same food, the shelf life is also different, and the first target recommended food information displayed on the display screen may further include the shelf life and the storage position of the same food, so as to remind the user to preferentially use the food with the shelf life close to that, improve the storage time of the food, and reduce the cost.
As can be seen from the above, in the embodiment, the current user characteristic information and the current climate information of the user are obtained by receiving the food recommendation request of the user, the first target recommended food information is obtained according to the current user characteristic information and the current climate information, and the first target recommended food information is displayed on the display screen. According to the embodiment, the accuracy of food recommendation can be improved through the current characteristic information and the current climate information of different users, so that the individual requirements of different users are met.
Referring to fig. 2, fig. 2 is a second flowchart illustrating a food recommendation method for a refrigerator according to an embodiment of the present application. The specific implementation of the method may be as follows:
a food recommendation request of a user is received 201.
In this embodiment, the food recommendation request received by the refrigerator may be a request actively initiated by the user, or may be a food recommendation request automatically detected by the refrigerator. For example, a display screen of the refrigerator may be provided with a camera, and when a user stands within a range in which the camera acquires an image, the camera may automatically acquire image information of the user and control the refrigerator to enter a food recommendation mode according to the image information of the user. For another example, when the user wants to obtain food recommendation, the user may touch the display screen to enable the refrigerator to enter the food recommendation mode, may also control the refrigerator to enter the food recommendation mode through voice, may also enable the refrigerator to enter the food recommendation mode through touching a physical key or a virtual key on the refrigerator, and the like, which is not limited herein.
In some embodiments, the refrigerator may establish a short-range communication with the electronic device of the user, and receive a food recommendation request sent by the electronic device of the user through the short-range communication, for example, through a wireless communication manner such as bluetooth or wireless fidelity. The electronic device of the user may be a mobile phone or a smart wearable device, such as a smart bracelet or the like.
202, obtaining the current user characteristic information, the current climate information and the food preference information of the user.
After the refrigerator enters the food recommendation mode, current user characteristic information and current climate information of the user may be detected by a detection device provided in the refrigerator. The detection device may include an infrared sensor, a thermometer, a hygrometer, etc., but may also be other functional devices for detecting the characteristic information of the person and the climate, and is not limited in particular.
The current user characteristic information of the user may include body type information, age information, health information, and the like of the user. Body shape information of the user such as height, weight, etc. of the user; health information such as a user's body fat rate, exercise amount data, sleep quality, heart beat condition, presence or absence of disease, disease history or allergy history, and the like. The current body state of the user can be obtained in real time according to the current user characteristic information, the food which can be ingested and can not be ingested by the user, the content of the food which can be ingested and the like can be determined according to the current user characteristic information, and the intake quantity of the user for the three nutrients of carbohydrate, fat and protein can be determined. The current user characteristics may reflect different physical condition information of different users.
The current climate information may include current season information, current temperature information, current humidity information, and the like. The types of food suitable for the user to eat in the current season can be obtained according to the current season information, for example, the food suitable for eating in summer and cooling in summer, the food suitable for using in winter and keeping warm and the like. According to the current temperature information and the current humidity information, the time that food suitable for the current season can be stored and the food suitable for use in the current weather can be obtained, for example, the shelf lives of the same food in summer and winter are different, for example, the weather in summer can be rainy weather or sunny weather, and the food corresponding to different weather can be obtained.
In addition, the food in the first target recommended food information acquired by the refrigerator for the current user characteristic information and the current climate information of the user may not be the food that the user likes, and the food that the user likes may not exist in the first target recommended food. Therefore, the user's taste can be taken as a condition for improving the accuracy of recommended food for the refrigerator.
The historical food storage information of the refrigerator by the user can be obtained, and the historical food storage information comprises the types of food stored by the user and the times of storing each type of food. It is understood that the kind of food the user deposits may prove that the user likes to eat the food, and the degree of the user's liking to each kind of food may be obtained by the number of times each kind of food is deposited. For example, the food historically stored by the user includes apples, eggs and chicken, the number of times of storing the apples is 10, the number of times of storing the eggs is 15, and the number of times of storing the chicken is 5, so that the eggs stored most frequently represent the highest love degree of the user to the eggs.
Storing food information according to a user history may determine food preference information of the user, which may include a kind of food the user likes and a priority of the kind of food the user likes. For example, eggs stored 15 times can be used as favorite food of the user, and the level is A; storing 10 apples as favorite food for users, wherein the grade is B; and storing the chicken for 5 times as favorite food of the user, wherein the grade is C, the priority of the grade A is higher than that of the grade B, the priority of the grade B is higher than that of the grade C, and the like.
And 203, acquiring second target recommended food information according to the current user characteristic information, the current climate information and the food preference information, and displaying the second target recommended food information on a display screen.
After the refrigerator acquires the current user characteristic information, the current climate information and the food preference information of the user, second target recommended food information can be acquired according to the current user characteristic information, the current climate information and the user preference information, the second target recommended food information can include food existing in the refrigerator or food not existing in the refrigerator, the second target recommended food information is displayed on a display screen and can be displayed in different prompting modes respectively, for example, the food existing in the refrigerator can be displayed in green, and the food not existing in the refrigerator can be displayed in red.
And 204, acquiring the current stored food information.
In order to improve the user's understanding of the storage quantity of food in the refrigerator, so as to remind the user to supplement the food in time. Current stored food information of the refrigerator may be acquired, wherein the current stored food information may include a kind of current stored food and a shelf life of each kind of food.
The user can select the food which the user wants to use currently according to the second recommended food information displayed on the display screen, if the food is already stored in the refrigerator, the storage amount and the storage position of the food can be displayed on the display screen, so that the user can conveniently open the refrigerator and quickly find the food, the quantity which needs to be purchased can be displayed for the food which is not stored in the refrigerator, for example, the storage amount of the food and the current storage space of the refrigerator can be updated in real time according to the current storage space of the refrigerator, the shelf life of the food and the like, and if the user takes the food out of the refrigerator.
Because a certain food user may not buy the same food once, may buy the same food many times, or different users buy the same food, the shelf life is also different, and the second target recommended food information displayed on the display screen may further include the shelf life and the storage position of the same food, so as to remind the user to preferentially use the food with the shelf life close to that, improve the storage time of the food, and reduce the cost.
And 205, determining the food information to be purchased by the user according to the currently stored food information and the second target recommended food information, and prompting the user to purchase the food to be purchased.
After the information of the food to be purchased by the user is determined, the food to be purchased by the user may be displayed on the display screen to remind the user of purchasing, or may be sent to the electronic device of the user through the wireless communication device, and the user may obtain the food to be purchased through an application program associated with the refrigerator, or may be in other prompting manners, which is not specifically limited herein.
And 206, obtaining target food collocation information according to the currently stored food information and the second target recommended food information.
If the user cannot purchase the food which is not in the refrigerator in the second target recommended food information in time at present, the target food collocation information can be obtained according to the currently stored food information and the second target recommended food information, namely the existing food is used for carrying out food collocation. The target food collocation information contains various recommended foods, such as collocation of fruits and vegetables, collocation of vegetables and meat, and the like, and can also comprise display of food matching collocation so as to remind a user that the food cannot be selected so as to ensure the health of the user. The target food collocation information can contain a plurality of food collocation information so as to meet the requirements of a plurality of dishes of a user and the requirements of dessert after meals, and improve the user experience.
And 207, acquiring target recipe information according to the target food collocation information.
According to the target food collocation information, target recipe information can be obtained, wherein the target recipe information comprises a plurality of recipe information, and the target recipe information can comprise the making method, the using amount and the like of the target food, so that a user can conveniently cook according to the target recipe information.
It should be noted that, since users have different requirements for recommending food practices, users like to eat spicy food rather than sweet food, and so on. Therefore, the dietary preference information of the user can be obtained, wherein the dietary preference information can comprise favorite dishes and favorite tastes of the user, and the target recipe information is obtained according to the dietary preference information and the target food collocation information. The user can select the recipes which accord with the taste and the preference of the user from the plurality of recipes in the target recipe information to cook so as to improve the user experience.
It should also be noted that the user may use more of his favorite food, which may have a health effect. For example, too much salt can increase blood pressure and blood fat. Therefore, the healthy diet information of the user can be acquired; and acquiring target recipe information according to the healthy diet information, the diet preference information and the target food collocation information.
The health diet information may include the ratio and amount of the three nutritional components, i.e., carbohydrates, vitamins and proteins, which the user needs to take.
As can be seen from the above, in this embodiment, a food recommendation request of a user is received, current user characteristic information, current climate information, and food preference information of the user are obtained, second target recommended food information is obtained according to the current user characteristic information, the current climate information, and the food preference information, the second target recommended food information is displayed on a display screen, current stored food information is obtained, food information that the user needs to purchase is determined according to the current stored food information and the second target recommended food information, the user is prompted to purchase food that the user needs to purchase, target food matching information is obtained according to the current stored food information and the second target recommended food information, and target recipe information is obtained according to the target food matching information. According to the embodiment, the accuracy of food recommendation can be improved through the current characteristic information and the current climate information of different users, so that the individual requirements of different users are met. In addition, the recipe of the recommended food can be obtained through the target food collocation information, the user diet favorite information and the healthy diet information, the recommended food is convenient for a user to use better on the premise of ensuring the diet health of the user, and the user experience is improved.
In order to better implement the food recommendation method for the refrigerator in the embodiment of the application, the embodiment of the application also provides a food recommendation device for the refrigerator. Referring to fig. 4, fig. 4 is a schematic structural diagram of a food recommendation device of a refrigerator according to an embodiment of the present application. The food recommendation device 400 of the refrigerator may include a receiving module 401, a first obtaining module 402, and a second obtaining module 403. The refrigerator may include a display screen, among other things.
The receiving module 401 is configured to receive a food recommendation request of a user;
a first obtaining module 402, configured to obtain current user characteristic information and current climate information of a user;
a second obtaining module 403, configured to obtain the first target recommended food information according to the current user characteristic information and the current climate information, and display the first target recommended food information on the display screen.
In some embodiments, the food recommendation device 400 of the refrigerator may further include a third obtaining module, which may be configured to:
acquiring historical food storage information of a user on a refrigerator, wherein the historical food storage information comprises types of stored foods and the times of storing each type of food;
determining food preference information of a user according to historical stored food information, wherein the food preference information comprises favorite food types of the user and priorities of the favorite food types of the user;
and obtaining second target recommended food information according to the current user characteristic information, the current climate information and the food preference information, and displaying the second target recommended food information on the display screen.
In some embodiments, the food recommendation device 400 of the refrigerator may further include a prompting module, which may be configured to:
acquiring current stored food information of the refrigerator, wherein the current stored food information comprises types of current stored food and shelf lives of each type of food;
and determining the food information required to be purchased by the user according to the currently stored food information, the first target recommended food information and the second target recommended food information, and prompting the user to purchase the food required to be purchased.
In some embodiments, the food recommendation device 400 of the refrigerator may further include a first recipe acquisition module, which may be configured to:
obtaining target food collocation information according to the current stored food information, the first target recommended food information and the second target recommended food information;
and acquiring target recipe information according to the target food collocation information.
In some embodiments, the food recommendation device 400 of the refrigerator may further include a second recipe acquisition module, which may be configured to:
acquiring the diet favorite information of the user, wherein the diet favorite information comprises favorite dishes and favorite tastes of the user;
and acquiring the target recipe information according to the diet preference information and the target food collocation information.
In some embodiments, the food recommendation device 400 of the refrigerator may further include a third recipe acquisition module, which may be configured to:
acquiring healthy diet information of the user;
and acquiring the target recipe information according to the healthy diet information, the diet preference information and the target food collocation information.
All the above technical solutions can be combined arbitrarily to form the optional embodiments of the present application, and are not described herein again.
As can be seen from the above, in the food recommendation device 400 of the refrigerator provided in the embodiment of the present application, the receiving module 401 receives a food recommendation request from a user, the first obtaining module 402 obtains the current user characteristic information and the current climate information of the user, the second obtaining module 403 obtains the first target recommended food information according to the current user characteristic information and the current climate information, and the first target recommended food information is displayed on the display screen. According to the embodiment, the accuracy of food recommendation can be improved, so that personalized requirements of different users are met.
Correspondingly, the embodiment of the application also provides a refrigerator. As shown in fig. 5, fig. 5 is a schematic structural diagram of a refrigerator provided in an embodiment of the present application. The refrigerator 500 may include a main body 501, a display 502, and a detection device 503. Of course, the refrigerator 500 may further include other structural components, such as a refrigeration system, an electrical control system, etc. (not shown in the drawings), and are not particularly limited herein.
The main body 501 is an integral structure of the refrigerator 500, and includes a housing and a box of the refrigerator 500.
The display screen 502 is disposed on the main body 501, and may be disposed at a position above the main body for a user to operate or view, and may be used to display information detected by the detection device 503.
The detecting device 503 is disposed on the main body 501, and can be used to detect current user characteristic information and current climate information of the user.
Referring to fig. 5, fig. 5 is a block diagram of a refrigerator according to an embodiment of the present disclosure. The refrigerator 500 includes a processor 504 having one or more processing cores, a memory 505 having one or more computer-readable storage media, and a computer program stored on the memory 505 and executable on the processor 504. The processor 504 is electrically connected to the memory 505. Those skilled in the art will appreciate that the refrigerator construction illustrated in the figures does not constitute a limitation of the refrigerator and may include more or fewer components than illustrated, or some components may be combined, or a different arrangement of components.
The processor 504 is a control center of the refrigerator 500, connects various parts of the entire refrigerator 500 using various interfaces and lines, performs various functions of the refrigerator 500 and processes data by running or loading software programs and/or modules stored in the memory 505, and calling data stored in the memory 505, thereby monitoring the refrigerator 500 as a whole.
In the embodiment of the present application, the processor 504 in the refrigerator 500 loads instructions corresponding to processes of one or more application programs into the memory 505 according to the following steps, and the processor 504 runs the application program stored in the memory 505, so as to implement various functions:
controlling the camera to scan the first identification information to obtain second identification information, and recording the second identification information into the refrigerator;
receiving a food recommendation request of a user;
acquiring current user characteristic information and current climate information of a user;
and acquiring first target recommended food information according to the current user characteristic information and the current climate information, and displaying the first target recommended food information on the display screen.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, embodiments of the present application provide a computer-readable storage medium, in which a plurality of computer programs are stored, and the computer programs can be loaded by a processor to perform the steps in the food recommendation method for a refrigerator provided in any one of the embodiments of the present application.
Wherein the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other media capable of storing program codes.
Since the computer program stored in the storage medium can execute the steps in any of the methods for recommending food for a refrigerator provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the methods for recommending food for a refrigerator provided in the embodiments of the present application can be achieved, which are detailed in the foregoing embodiments and will not be described again here.
In the description of the present application, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more features.
The foregoing describes in detail a food recommendation method, a food recommendation apparatus, a storage medium, and a refrigerator of a refrigerator provided in an embodiment of the present application, and a specific example is applied in the present application to explain principles and embodiments of the present application, and the description of the foregoing embodiments is only used to help understand the method and core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. A food recommendation method for a refrigerator, the refrigerator including a display screen, the method comprising:
receiving a food recommendation request of a user;
acquiring current user characteristic information and current climate information of the user;
and acquiring first target recommended food information according to the current user characteristic information and the current climate information, and displaying the first target recommended food information on the display screen.
2. The method of claim 1, wherein after the obtaining the first target recommended food information from the cloud server according to the current user information and the current climate information, the method further comprises:
obtaining historical food storage information of the refrigerator by the user, wherein the historical food storage information comprises types of food storage and the number of times of storing each type of food;
determining food preference information of the user according to the historical stored food information, wherein the food preference information comprises favorite food types of the user and priorities of the favorite food types of the user;
and acquiring second target recommended food information according to the current user characteristic information, the current climate information and the food preference information, and displaying the second target recommended food information on the display screen.
3. The method of claim 1 or 2, wherein after the obtaining the first target recommended food information from the cloud server according to the current user information and the current climate information, the method further comprises:
acquiring current stored food information of the refrigerator, wherein the current stored food information comprises types of current stored food and shelf lives of each type of food;
and determining the food information required to be purchased by the user according to the currently stored food information, the first target recommended food information and the second target recommended food information, and prompting the user to purchase the food required to be purchased.
4. The food recommendation method of a refrigerator according to claim 3, wherein after determining food information to be purchased by a user according to the currently stored food information, the first target recommended food information and the second target recommended food information and prompting the user to purchase the food to be purchased, the method further comprises:
obtaining target food collocation information according to the current stored food information, the first target recommended food information and the second target recommended food information;
and acquiring target recipe information according to the target food collocation information.
5. The food recommendation method of the refrigerator according to claim 4, wherein before obtaining the target recipe information according to the target food collocation information, the method further comprises:
acquiring the diet favorite information of the user, wherein the diet favorite information comprises favorite dishes and favorite tastes of the user;
and acquiring the target recipe information according to the diet preference information and the target food collocation information.
6. The method of claim 5, wherein before the obtaining the target recipe information according to the diet preference information and the target food collocation information, the method further comprises:
acquiring healthy diet information of the user;
and acquiring the target recipe information according to the healthy diet information, the diet preference information and the target food collocation information.
7. The food recommendation method of a refrigerator of claim 1, wherein the current user specific information comprises body type information, age information, health information of the user.
8. A food recommendation device for a refrigerator, the refrigerator including a display screen, the device comprising:
the receiving module is used for receiving a food recommendation request of a user;
the first acquisition module is used for acquiring the current user characteristic information and the current climate information of the user;
and the second acquisition module is used for acquiring first target recommended food information according to the current user characteristic information and the current climate information and displaying the first target recommended food information on the display screen.
9. A computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed on a computer, the computer is caused to execute a food recommendation method of a refrigerator according to any one of claims 1 to 7.
10. A refrigerator, characterized by comprising:
a main body;
the display screen is arranged on the main body and used for displaying information;
the detection device is arranged on the main body and is used for detecting the current user characteristic information and the current climate information of the user;
a memory storing a computer program;
a processor for performing the food recommendation method of the refrigerator of any one of claims 1 to 7 by calling the computer program stored in the memory.
CN202110932940.4A 2021-08-13 2021-08-13 Food recommendation method and device for refrigerator, storage medium and refrigerator Pending CN113742579A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110932940.4A CN113742579A (en) 2021-08-13 2021-08-13 Food recommendation method and device for refrigerator, storage medium and refrigerator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110932940.4A CN113742579A (en) 2021-08-13 2021-08-13 Food recommendation method and device for refrigerator, storage medium and refrigerator

Publications (1)

Publication Number Publication Date
CN113742579A true CN113742579A (en) 2021-12-03

Family

ID=78731214

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110932940.4A Pending CN113742579A (en) 2021-08-13 2021-08-13 Food recommendation method and device for refrigerator, storage medium and refrigerator

Country Status (1)

Country Link
CN (1) CN113742579A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116147278A (en) * 2023-01-03 2023-05-23 珠海格力电器股份有限公司 Method and device for monitoring freshness preservation of food materials in refrigerator and refrigerator

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106871567A (en) * 2015-12-14 2017-06-20 北京奇虎科技有限公司 Food recommendation process method, device and intelligent refrigerator based on intelligent refrigerator
US20180150305A1 (en) * 2016-11-29 2018-05-31 Samsung Electronics Co., Ltd. Method for recommending content and apparatus therefor
US20190166211A1 (en) * 2017-11-28 2019-05-30 Palo Alto Research Center Incorporated User interaction analysis of networked devices
CN110162688A (en) * 2018-03-14 2019-08-23 吴静 A kind of refrigerator food recommended method based on smart home
CN111276214A (en) * 2020-01-16 2020-06-12 珠海格力电器股份有限公司 Recipe recommendation method and apparatus, storage medium, and electronic apparatus
WO2021147239A1 (en) * 2020-01-22 2021-07-29 青岛海尔电冰箱有限公司 Recipe recommendation method, refrigerator, and computer-readable storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106871567A (en) * 2015-12-14 2017-06-20 北京奇虎科技有限公司 Food recommendation process method, device and intelligent refrigerator based on intelligent refrigerator
US20180150305A1 (en) * 2016-11-29 2018-05-31 Samsung Electronics Co., Ltd. Method for recommending content and apparatus therefor
US20190166211A1 (en) * 2017-11-28 2019-05-30 Palo Alto Research Center Incorporated User interaction analysis of networked devices
CN110162688A (en) * 2018-03-14 2019-08-23 吴静 A kind of refrigerator food recommended method based on smart home
CN111276214A (en) * 2020-01-16 2020-06-12 珠海格力电器股份有限公司 Recipe recommendation method and apparatus, storage medium, and electronic apparatus
WO2021147239A1 (en) * 2020-01-22 2021-07-29 青岛海尔电冰箱有限公司 Recipe recommendation method, refrigerator, and computer-readable storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
洪鑫;陈功;: "冰箱的网络智能化交互设计策略研究", 机电产品开发与创新, no. 01 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116147278A (en) * 2023-01-03 2023-05-23 珠海格力电器股份有限公司 Method and device for monitoring freshness preservation of food materials in refrigerator and refrigerator

Similar Documents

Publication Publication Date Title
US10803315B2 (en) Electronic device and method for processing information associated with food
CN105184204B (en) A kind of item identification devices, intelligent refrigerator and user terminal
CN106773859B (en) A kind of intelligent cooking control method
EP3545485A1 (en) Self-shopping refrigerator
KR102209741B1 (en) Electronic device and method for processing information associated with food
CN109243579B (en) Cooked food nutrition data processing method, system, storage medium and terminal
US10832590B2 (en) Monitoring food intake
CN109509117A (en) A kind of vegetable recommended method, apparatus and system
CN211319727U (en) Intelligent family healthy diet recommendation system
CN109300526A (en) A kind of recommended method and mobile terminal
CN110287306A (en) A kind of recipe recommendation method and apparatus
CN112069403A (en) Menu recommendation method and device, computer equipment and storage medium
CN111811182B (en) Refrigerator and recipe recommendation method
CN107705837B (en) Method, device and system for recommending selected food
CN113158018A (en) Recipe recommendation method, refrigerator and computer-readable storage medium
CN112902406B (en) Air conditioner and/or fan parameter setting method, control device and readable storage medium
CN113742579A (en) Food recommendation method and device for refrigerator, storage medium and refrigerator
KR102326540B1 (en) Methods for management of nutrition and disease using food images
CN113779383A (en) Method for intelligently displaying menu and cooking system
CN109118042A (en) TV applications processing method, terminal and medium based on wisdom family life house keeper
CN117174251A (en) Health management data pushing method, device, computer equipment and storage medium
CN112331302A (en) Automatic diet management method and system, kitchen robot and storage medium
KR20200073439A (en) Personalized food service system
CN109697601A (en) A kind of processing method and processing device of prompting message
CN113611392A (en) Menu generation system, refrigerator, menu recommendation method and intelligent refrigerator system

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