CN110875090A - Intelligent refrigerator and information interaction method, system and computer-storable medium thereof - Google Patents
Intelligent refrigerator and information interaction method, system and computer-storable medium thereof Download PDFInfo
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- 235000016709 nutrition Nutrition 0.000 claims description 12
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The invention discloses an intelligent refrigerator and an information interaction method, an information interaction system and a computer storage medium thereof, wherein the information interaction method comprises the following steps: acquiring food material data associated with the intelligent refrigerator; generating recommendation information according to the food material data associated with the intelligent refrigerator; and displaying the recommendation information on a display of the intelligent refrigerator. According to the information interaction method, the corresponding recommendation information is generated according to the obtained food material data associated with the intelligent refrigerator, the intelligent application of the intelligent refrigerator is further expanded, the interaction between the user and the intelligent refrigerator is more convenient, humanized and intelligent, the intelligent technology is displayed in a more temperate and more life breath form, and the user experience is improved.
Description
Technical Field
The invention belongs to the application field of intelligent refrigerators, and particularly relates to an intelligent refrigerator, an information interaction method and system thereof, and a computer storage medium.
Background
With the rapid development of the internet of things technology and smart home, the interconnection of everything is trending, in recent years, many household devices can be connected to the internet by adding a communication module, however, the connection function is only a basic condition for intelligent development, taking an intelligent refrigerator as an example, the content display form of a screen end is single, only basic functions such as food display, management and the like are realized, each refrigerator exists in an isolated manner and does not interact with the intelligent refrigerator, meanwhile, the participation sense of a user is less, the experience needs of many scenes of the user are difficult to meet, and the public praise and cognition are difficult to form.
Disclosure of Invention
The invention aims to overcome the defect of poor user experience caused by single function of an intelligent refrigerator in the prior art, and provides the intelligent refrigerator, an information interaction method and system thereof, and a computer storage medium.
The invention solves the technical problems through the following technical scheme:
an information interaction method of an intelligent refrigerator comprises the following steps:
acquiring food material data associated with the intelligent refrigerator;
generating recommendation information according to the food material data associated with the intelligent refrigerator;
and displaying the recommendation information on a display of the intelligent refrigerator.
Preferably, the food material data associated with the intelligent refrigerator includes food material data currently stored in the intelligent refrigerator, and the step of acquiring the food material data associated with the intelligent refrigerator specifically includes:
acquiring a shot picture in the intelligent refrigerator;
and identifying the shot picture to obtain the currently stored food material data.
Preferably, the step of generating recommendation information according to the food material data associated with the intelligent refrigerator specifically includes:
and generating a matching menu corresponding to the currently stored food material data, wherein the recommendation information comprises the matching menu.
Preferably, after the step of obtaining the food material data associated with the intelligent refrigerator, the information interaction method further includes:
presetting a nutrition index;
acquiring nutrient component data of the currently stored food material data;
acquiring nutrient component data to be supplemented of the intelligent refrigerator according to the nutrient component data and the nutrient indexes;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator further comprises:
and generating a healthy food material recommendation list containing the nutritional component data to be supplemented, wherein the recommendation information further comprises the healthy food material recommendation list.
Preferably, the food material data associated with the intelligent refrigerator further comprises food material data purchased by a user in a shopping platform associated with the intelligent refrigerator, and/or the food material data associated with the intelligent refrigerator further comprises food material data input by the user through the display or an APP of the intelligent refrigerator.
Preferably, after the step of obtaining the food material data associated with the intelligent refrigerator, the information interaction method further includes:
presetting an area range;
acquiring regional food material data of all intelligent refrigerators in the regional range in a first time period;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator specifically includes:
counting the regional food material data to obtain a plurality of food materials which are purchased by users of all intelligent refrigerators in the regional range on a shopping platform and have the highest frequency, wherein the food materials are used as regional preferred food materials of the users of all intelligent refrigerators in the regional range;
and generating a region food material recommendation list according to the region preference food materials, wherein the recommendation information comprises the region food material recommendation list.
Preferably, after the step of generating the area food material recommendation list according to the area preferred food material, the information interaction method further includes:
and generating group purchase recommendation information according to the regional food material recommendation list, wherein the recommendation information further comprises the group purchase recommendation information.
Preferably, after the step of obtaining the food material data associated with the intelligent refrigerator, the information interaction method further includes:
acquiring section food material data of the intelligent refrigerator in a second time period;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator specifically includes:
counting the section food material data to obtain a plurality of food materials which are purchased by a user of a single intelligent refrigerator on a shopping platform and have the highest frequency, wherein the food materials are used as personal preference food materials of the user of the single intelligent refrigerator;
and generating a personal food material recommendation list according to the personal preference food material, wherein the recommendation information comprises the personal food material recommendation list.
Preferably, before the step of generating recommendation information according to the food material data associated with the intelligent refrigerator, the information interaction method further includes:
receiving a group purchase application initiated by a target user for a target food material;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator further comprises:
detecting whether a personal food material recommendation list of a user contains the target food material or not within a preset distance range from the target user, and if so, recommending the group purchase application to the user containing the target food material in the personal food material recommendation list;
detecting whether the purchase quantity of all users who accept the group purchase application to the target food material exceeds a preset threshold value, if so, generating confirmed group purchase information of the target food material;
the step of displaying the recommendation information on the display of the intelligent refrigerator specifically includes:
and displaying the confirmed group purchase information on a display screen of the intelligent refrigerator of the user who accepts the group purchase application.
An information interaction system of an intelligent refrigerator, wherein the intelligent refrigerator comprises a display, and the information interaction system comprises a food material data acquisition module and a recommendation information generation module;
the food material data acquisition module is used for acquiring food material data associated with the intelligent refrigerator;
the recommendation information generation module is used for generating recommendation information according to the food material data associated with the intelligent refrigerator;
the display is used for displaying the recommendation information.
Preferably, the food material data associated with the intelligent refrigerator comprises food material data currently stored in the intelligent refrigerator, and the food material data acquisition module comprises a camera unit and an identification unit;
the camera shooting unit is used for acquiring shot pictures in the intelligent refrigerator;
the identification unit is used for identifying the shot picture to obtain the currently stored food material data.
Preferably, the recommendation information generation module further comprises a matching menu generation unit;
the matching menu generating unit is used for generating a matching menu corresponding to the currently stored food material data, and the recommendation information comprises the matching menu.
Preferably, the information interaction system further comprises a nutrient component acquisition module, a nutrient component to be supplemented acquisition module and a nutrient index library, and the recommendation information generation module further comprises a healthy food material recommendation list generation unit;
the nutrition index database prestores nutrition indexes;
the nutrient component acquisition module is used for acquiring nutrient component data of the currently stored food material data;
the nutrient component to be supplemented acquisition module is used for acquiring nutrient component data to be supplemented of the intelligent refrigerator according to the nutrient component data and the nutrient indexes;
the healthy food material recommendation list generating unit is used for generating a healthy food material recommendation list containing the nutrient component data to be supplemented, and the recommendation information further comprises the healthy food material recommendation list.
Preferably, the food material data associated with the intelligent refrigerator further comprises food material data purchased by a user in a shopping platform associated with the intelligent refrigerator, and/or the food material data associated with the intelligent refrigerator further comprises food material data input by the user through the display or an APP of the intelligent refrigerator.
Preferably, the information interaction system further comprises a region range presetting module and a region food material data acquiring module, and the recommendation information generating module further comprises a region preference food material generating unit and a region food material recommendation list generating unit;
the region range presetting module is used for presetting a region range;
the region food material data acquisition module is used for acquiring region food material data of all intelligent refrigerators in the region range within a first time period;
the region preferred food material generation unit is used for counting the region food material data to obtain a plurality of food materials which are purchased by users of all intelligent refrigerators in the region range at the highest frequency on a shopping platform and serve as the region preferred food materials of the users of all the intelligent refrigerators in the region range;
the region food material recommendation list generating unit is used for generating a region food material recommendation list according to the region preferred food material, and the recommendation information comprises the region food material recommendation list.
Preferably, the recommendation information generation module further comprises a group purchase recommendation information generation unit;
the group purchase recommendation information generation unit is used for generating group purchase recommendation information according to the regional food material recommendation list, and the recommendation information further comprises the group purchase recommendation information.
Preferably, the information interaction system further comprises a section food material data acquisition module, and the recommendation information generation module further comprises a personal preference food material unit and a personal food material recommendation list generation unit;
the section food material data acquisition module is used for acquiring section food material data of the intelligent refrigerator in a second time period;
the individual preference food material unit is used for counting the section food material data to obtain a plurality of food materials which are purchased by a user of a single intelligent refrigerator on a shopping platform and have the highest frequency as individual preference food materials of the user of the single intelligent refrigerator;
the individual food material recommendation list generating unit is used for generating an individual food material recommendation list according to the individual preference food material, and the recommendation information comprises the individual food material recommendation list.
Preferably, the information interaction system further comprises a group purchase application receiving module, and the recommendation information generating module further comprises a first detecting unit, a second detecting unit, a group purchase application recommending unit and a group purchase confirmation information generating unit;
the group purchase application receiving module is used for receiving a group purchase application initiated by a target user for a target food material;
the first detection unit is used for detecting whether the individual food material recommendation list of each user within a preset distance range from the target user contains the target food material, and if yes, the group purchase application recommendation unit is called;
the group purchase application recommending unit is used for recommending the group purchase application to a user containing the target food material in a personal food material recommending list;
the second detection unit is used for detecting whether the purchase quantity of the target food material by all the users who accept the group purchase application exceeds a preset threshold value, and if so, the confirmed group purchase information generation unit is called;
the confirmed group purchase information generating unit is used for generating confirmed group purchase information of the target food material;
and the display screen of the intelligent refrigerator of the user receiving the group purchase application is used for displaying the confirmed group purchase information.
A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the information interaction method of the intelligent refrigerator described above.
The intelligent refrigerator comprises a display screen, a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the information interaction method of the intelligent refrigerator.
The positive progress effects of the invention are as follows: according to the information interaction method, the corresponding recommendation information is generated according to the obtained food material data associated with the intelligent refrigerator, the intelligent application of the intelligent refrigerator is further expanded, the interaction between the user and the intelligent refrigerator is more convenient, humanized and intelligent, the intelligent technology is displayed in a more temperate and more life breath form, and the user experience is improved.
Drawings
Fig. 1 is a flowchart of an information interaction method for an intelligent refrigerator according to embodiment 1 of the present invention.
Fig. 2 is a flowchart illustrating a step 110 of an information interaction method for an intelligent refrigerator according to embodiment 1 of the present invention.
Fig. 3 is a flowchart of an information interaction method for an intelligent refrigerator according to embodiment 2 of the present invention.
Fig. 4 is a flowchart of an information interaction method for an intelligent refrigerator according to embodiment 3 of the present invention.
Fig. 5 is a flowchart of an information interaction method for an intelligent refrigerator according to embodiment 4 of the present invention.
Fig. 6 is a schematic block diagram of an information interaction system of an intelligent refrigerator according to embodiment 5 of the present invention.
Fig. 7 is a schematic block diagram of an information interaction system of an intelligent refrigerator according to embodiment 6 of the present invention.
Fig. 8 is a schematic block diagram of an information interaction system of an intelligent refrigerator according to embodiment 7 of the present invention.
Fig. 9 is a schematic block diagram of an information interaction system of an intelligent refrigerator according to embodiment 8 of the present invention.
Fig. 10 is a schematic module diagram of a recommendation information generation module in the information interaction system of the intelligent refrigerator according to embodiment 8 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
An information interaction method of an intelligent refrigerator, as shown in fig. 1, includes:
and step 130, displaying the recommendation information on a display of the intelligent refrigerator.
As shown in fig. 2, the food material data associated with the intelligent refrigerator includes food material data currently stored in the intelligent refrigerator, and step 110 specifically includes:
101, acquiring a shot picture in an intelligent refrigerator;
and 102, identifying the shot picture to obtain the currently stored food material data.
Further, as shown in fig. 3, step 120 specifically includes:
and generating a matching menu corresponding to the currently stored food material data, wherein the recommendation information comprises the matching menu.
In the embodiment, corresponding recommendation information is generated according to the obtained food material data associated with the intelligent refrigerator, the intelligent application of the intelligent refrigerator is further expanded, the interaction between a user and the intelligent refrigerator is more convenient, humanized and intelligent, the user can recommend recipes which can be made according to the food materials stored in the refrigerator, and the user experience is improved.
Example 2
The information interaction method of the intelligent refrigerator of the present embodiment is further improved on the basis of embodiment 1, as shown in fig. 3, after step 110, the information interaction method further includes:
113, acquiring nutrient component data to be supplemented of the intelligent refrigerator according to the nutrient component data and the nutrient indexes;
further, step 120 specifically includes:
In the embodiment, corresponding recommendation information is generated according to the obtained food material data associated with the intelligent refrigerator, the intelligent application of the intelligent refrigerator is further expanded, interaction between a user and the intelligent refrigerator is more convenient, more humanized and more intelligent, the existing food materials are compared according to the nutritional indexes, and the optional healthy food materials are recommended to the user.
Example 3
The information interaction method of the intelligent refrigerator is further improved on the basis of embodiment 1, where the food material data associated with the intelligent refrigerator further includes food material data purchased by a user in a shopping platform associated with the intelligent refrigerator, and/or the food material data associated with the intelligent refrigerator further includes food material data input by the user through the display or an APP of the intelligent refrigerator.
After step 110, as shown in fig. 4, the information interaction method further includes:
further, step 120 specifically includes:
231, counting the regional food material data to obtain a plurality of food materials which are purchased by users of all intelligent refrigerators in the regional range at the highest frequency on a shopping platform and serve as regional preferred food materials of the users of all the intelligent refrigerators in the regional range;
And 233, generating group purchase recommendation information according to the regional food material recommendation list, wherein the recommendation information further comprises the group purchase recommendation information.
It should be noted that, according to statistics of food materials most frequently stored and purchased by community users within a certain period (for example, 1 month), when a plurality of users (for example, more than 10 users) all have a preference for a certain food material, a group purchase activity is pushed on a display screen of an intelligent refrigerator of a user with a similar preference, and after a group purchase condition (for example, 30 users) is reached, the group purchase activity can be delivered by a merchant in a unified manner, and in addition, based on the statistical information, the group purchase activity can be displayed on a display screen of an intelligent refrigerator of a user with a similar preference: "have XX users and you have similar food preferences, everyone likes XXX recipes, do you like too? And information push such as 'selecting favorite menu of you' and the like.
Example 4
The information interaction method of the intelligent refrigerator of the present embodiment is further improved on the basis of embodiment 1, as shown in fig. 5, after step 110, the information interaction method further includes:
further, step 120 specifically includes:
241, counting the section food material data to obtain a plurality of food materials which are purchased by a user of a single intelligent refrigerator on a shopping platform and have the highest frequency, wherein the food materials are used as personal preference food materials of the user of the single intelligent refrigerator;
It should be noted that, here, only statistics is performed on food material data of individual users, and recommendation of food materials is performed according to individual hobbies, based on which, if a certain user wants to purchase a food material, the user can initiate group-purchase information through an intelligent refrigerator, and then push a group-purchase application to the user who likes the food material. Specifically, the method comprises the following steps:
before step 120, the information interaction method further includes:
step 120 further comprises:
step 130 specifically includes:
and 301, displaying confirmed group purchase information on a display screen of the intelligent refrigerator of the user receiving the group purchase application.
In this embodiment, when the user needs to purchase certain food material, can initiate group purchase at necessary screen end, after the material is eaten in the matching, carry out accurate information to the intelligent refrigerator user who likes this food material's user and release, deliver by the trade company after reaching group standard, here, can prefer to carry out the release of information in same community equally, the delivery of the trade company of being convenient for.
Example 5
An information interaction system of an intelligent refrigerator, the intelligent refrigerator comprises a display (not shown in the figure), and as shown in fig. 6, the information interaction system comprises a food material data acquisition module 1 and a recommendation information generation module 2;
the food material data acquisition module 1 is used for acquiring food material data associated with the intelligent refrigerator;
the recommendation information generation module 2 is used for generating recommendation information according to the food material data associated with the intelligent refrigerator;
the display is used for displaying the recommendation information.
The food material data associated with the intelligent refrigerator comprises food material data currently stored in the intelligent refrigerator, and the food material data acquisition module 1 comprises a camera unit 111 and an identification unit 112;
the camera unit 111 is used for acquiring a shot picture in the intelligent refrigerator;
the identification unit 112 is configured to identify the shot picture to obtain the currently stored food material data.
The recommendation information generation module 2 further comprises a matching menu generation unit 21;
the matching recipe generating unit 21 is configured to generate a matching recipe corresponding to the currently stored food material data, where the recommendation information includes the matching recipe. In the embodiment, corresponding recommendation information is generated according to the obtained food material data associated with the intelligent refrigerator, the intelligent application of the intelligent refrigerator is further expanded, the interaction between a user and the intelligent refrigerator is more convenient, humanized and intelligent, the user can recommend recipes which can be made according to the food materials stored in the refrigerator, and the user experience is improved.
Example 6
The information interaction system of the intelligent refrigerator of the embodiment is further improved on the basis of the embodiment 5, as shown in fig. 7, the information interaction system further includes a nutrition index library 3, a nutritional component obtaining module 4 and a nutritional component obtaining module 5 to be supplemented, and the recommendation information generating module 2 further includes a healthy food material recommendation list generating unit 22;
the nutrition index database 3 prestores nutrition indexes;
the nutrient component acquisition module 4 is used for acquiring nutrient component data of the currently stored food material data;
the nutrient component to be supplemented acquisition module 5 is used for acquiring nutrient component data to be supplemented of the intelligent refrigerator according to the nutrient component data and the nutrient indexes;
the healthy food material recommendation list generating unit 22 is configured to generate a healthy food material recommendation list containing the nutrient component data to be supplemented, where the recommendation information further includes the healthy food material recommendation list.
In the embodiment, corresponding recommendation information is generated according to the obtained food material data associated with the intelligent refrigerator, the intelligent application of the intelligent refrigerator is further expanded, interaction between a user and the intelligent refrigerator is more convenient, more humanized and more intelligent, the existing food materials are compared according to the nutritional indexes, and the optional healthy food materials are recommended to the user.
Example 7
The information interaction system of the intelligent refrigerator of this embodiment is further improved on the basis of embodiment 5, where the food material data associated with the intelligent refrigerator further includes food material data purchased by a user in a shopping platform associated with the intelligent refrigerator, and/or the food material data associated with the intelligent refrigerator further includes food material data input by the user through the display or APP of the intelligent refrigerator.
As shown in fig. 8, the information interaction system further includes a region range presetting module 6 and a region food material data obtaining module 7, and the recommendation information generating module 2 further includes a region preferred food material generating unit 23, a region food material recommendation list generating unit 24, and a group purchase recommendation information generating unit 25;
the area range presetting module 6 is used for presetting an area range;
the region food material data acquisition module 7 is configured to acquire region food material data of all intelligent refrigerators in the region range within a first time period;
the area preferred food material generating unit 23 is configured to count the area food material data to obtain a plurality of food materials which are purchased by users of all intelligent refrigerators in the area range on a shopping platform and have the highest frequency as area preferred food materials of the users of all intelligent refrigerators in the area range;
the regional food material recommendation list generating unit 24 is configured to generate a regional food material recommendation list according to the regional preferred food material, where the recommendation information includes the regional food material recommendation list.
The group purchase recommendation information generating unit 25 is configured to generate group purchase recommendation information according to the regional food material recommendation list, where the recommendation information further includes the group purchase recommendation information.
It should be noted that, according to statistics of food materials most frequently stored and purchased by community users within a certain period (for example, 1 month), when a plurality of users (for example, more than 10 users) all have a preference for a certain food material, a group purchase activity is pushed on a display screen of an intelligent refrigerator of a user with a similar preference, and after a group purchase condition (for example, 30 users) is reached, the group purchase activity can be delivered by a merchant in a unified manner, and in addition, based on the statistical information, the group purchase activity can be displayed on a display screen of an intelligent refrigerator of a user with a similar preference: "have XX users and you have similar food preferences, everyone likes XXX recipes, do you like too? And information push such as 'selecting favorite menu of you' and the like.
Example 8
The information interaction system of the intelligent refrigerator of the present embodiment is further improved on the basis of embodiment 5, as shown in fig. 9 to 10, the information interaction system further includes a segment food data obtaining module 8, and the recommendation information generating module 2 further includes a personal preference food material unit 26 and a personal food material recommendation list generating unit 27;
the section food material data acquisition module 8 is configured to acquire section food material data of the intelligent refrigerator in a second time period;
the personal preference food material unit 26 is configured to count the section food material data to obtain a plurality of food materials which are purchased by a user of a single intelligent refrigerator on a shopping platform and have the highest frequency, and the obtained food materials are used as personal preference food materials of the user of the single intelligent refrigerator;
the personal food material recommendation list generating unit 27 is configured to generate a personal food material recommendation list according to the personal preferred food material, wherein the recommendation information includes the personal food material recommendation list.
It should be noted that, here, only statistics is performed on food material data of individual users, and recommendation of food materials is performed according to individual hobbies, based on which, if a certain user wants to purchase a food material, the user can initiate group-purchase information through an intelligent refrigerator, and then push a group-purchase application to the user who likes the food material. Specifically, the method comprises the following steps:
referring to fig. 9-10, the information interaction system further includes a group purchase application receiving module 9, and the recommendation information generating module 2 further includes a first detecting unit 28, a second detecting unit 29, a group purchase application recommending unit 30, and a confirmation group purchase information generating unit 31;
the group purchase application receiving module 9 is configured to receive a group purchase application for a target food material initiated by a target user;
the first detecting unit 28 is configured to detect whether the personal food material recommendation list of each user within a preset distance range from the target user includes the target food material, and if yes, invoke the group purchase application recommending unit 30;
the group purchase application recommending unit 30 is configured to recommend the group purchase application to a user who includes the target food material in a personal food material recommendation list;
the second detecting unit 29 is configured to detect whether the purchase amount of the target food material by all users who accept the group purchase application exceeds a preset threshold, and if so, invoke the confirmed group purchase information generating unit 31;
the confirmed group purchase information generating unit 31 is configured to generate confirmed group purchase information of the target food material; and then, the display screen of the intelligent refrigerator of the user receiving the group purchase application is used for displaying the confirmed group purchase information.
In this embodiment, when the user needs to purchase certain food material, can initiate group purchase at necessary screen end, after the material is eaten in the matching, carry out accurate information to the intelligent refrigerator user who likes this food material's user and release, deliver by the trade company after reaching group standard, here, can prefer to carry out the release of information in same community equally, the delivery of the trade company of being convenient for.
Example 9
A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the steps of the information interaction method for the intelligent refrigerator according to any one of embodiments 1 to 4.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in a form of a program product, which includes program code for causing a terminal device to execute steps of implementing the information interaction method of the intelligent refrigerator described in any one of embodiments 1 to 4 when the program product runs on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
Example 10
An intelligent refrigerator comprises a display screen, a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that the processor executes the computer program to realize the information interaction method of the intelligent refrigerator in any one of the embodiments 1-4.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (20)
1. An information interaction method of an intelligent refrigerator is characterized by comprising the following steps:
acquiring food material data associated with the intelligent refrigerator;
generating recommendation information according to the food material data associated with the intelligent refrigerator;
and displaying the recommendation information on a display of the intelligent refrigerator.
2. The information interaction method of the intelligent refrigerator as claimed in claim 1, wherein the food material data associated with the intelligent refrigerator comprises food material data currently stored in the intelligent refrigerator, and the step of acquiring the food material data associated with the intelligent refrigerator specifically comprises:
acquiring a shot picture in the intelligent refrigerator;
and identifying the shot picture to obtain the currently stored food material data.
3. The information interaction method of the intelligent refrigerator as claimed in claim 2, wherein the step of generating recommendation information according to the food material data associated with the intelligent refrigerator specifically comprises:
and generating a matching menu corresponding to the currently stored food material data, wherein the recommendation information comprises the matching menu.
4. The information interaction method of the intelligent refrigerator as claimed in claim 3, wherein after the step of obtaining the food material data associated with the intelligent refrigerator, the information interaction method further comprises:
presetting a nutrition index;
acquiring nutrient component data of the currently stored food material data;
acquiring nutrient component data to be supplemented of the intelligent refrigerator according to the nutrient component data and the nutrient indexes;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator further comprises:
and generating a healthy food material recommendation list containing the nutritional component data to be supplemented, wherein the recommendation information further comprises the healthy food material recommendation list.
5. The information interaction method of the intelligent refrigerator as claimed in claim 1, wherein the food material data associated with the intelligent refrigerator further comprises food material data purchased by a user in a shopping platform associated with the intelligent refrigerator, and/or the food material data associated with the intelligent refrigerator further comprises food material data input by the user through the display or the APP of the intelligent refrigerator.
6. The information interaction method of the intelligent refrigerator as claimed in claim 5, wherein after the step of obtaining the food material data associated with the intelligent refrigerator, the information interaction method further comprises:
presetting an area range;
acquiring regional food material data of all intelligent refrigerators in the regional range in a first time period;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator specifically includes:
counting the regional food material data to obtain a plurality of food materials which are purchased by users of all intelligent refrigerators in the regional range on a shopping platform and have the highest frequency, wherein the food materials are used as regional preferred food materials of the users of all intelligent refrigerators in the regional range;
and generating a region food material recommendation list according to the region preference food materials, wherein the recommendation information comprises the region food material recommendation list.
7. The information interaction method of the intelligent refrigerator as claimed in claim 6, wherein after the step of generating the regional food material recommendation list according to the regional preferred food material, the information interaction method further comprises:
and generating group purchase recommendation information according to the regional food material recommendation list, wherein the recommendation information further comprises the group purchase recommendation information.
8. The information interaction method of the intelligent refrigerator as claimed in claim 5, wherein after the step of obtaining the food material data associated with the intelligent refrigerator, the information interaction method further comprises:
acquiring section food material data of the intelligent refrigerator in a second time period;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator specifically includes:
counting the section food material data to obtain a plurality of food materials which are purchased by a user of a single intelligent refrigerator on a shopping platform and have the highest frequency, wherein the food materials are used as personal preference food materials of the user of the single intelligent refrigerator;
and generating a personal food material recommendation list according to the personal preference food material, wherein the recommendation information comprises the personal food material recommendation list.
9. The information interaction method of the intelligent refrigerator as claimed in claim 8, wherein before the step of generating recommendation information according to the food material data associated with the intelligent refrigerator, the information interaction method further comprises:
receiving a group purchase application initiated by a target user for a target food material;
the step of generating recommendation information according to the food material data associated with the intelligent refrigerator further comprises:
detecting whether a personal food material recommendation list of a user contains the target food material or not within a preset distance range from the target user, and if so, recommending the group purchase application to the user containing the target food material in the personal food material recommendation list;
detecting whether the purchase quantity of all users who accept the group purchase application to the target food material exceeds a preset threshold value, if so, generating confirmed group purchase information of the target food material;
the step of displaying the recommendation information on the display of the intelligent refrigerator specifically includes:
and displaying the confirmed group purchase information on a display screen of the intelligent refrigerator of the user who accepts the group purchase application.
10. An information interaction system of an intelligent refrigerator, wherein the intelligent refrigerator comprises a display, and is characterized by comprising a food material data acquisition module and a recommendation information generation module;
the food material data acquisition module is used for acquiring food material data associated with the intelligent refrigerator;
the recommendation information generation module is used for generating recommendation information according to the food material data associated with the intelligent refrigerator;
the display is used for displaying the recommendation information.
11. The information interaction system of the intelligent refrigerator as claimed in claim 10, wherein the food material data associated with the intelligent refrigerator comprises food material data currently stored in the intelligent refrigerator, and the food material data acquisition module comprises a camera unit and a recognition unit;
the camera shooting unit is used for acquiring shot pictures in the intelligent refrigerator;
the identification unit is used for identifying the shot picture to obtain the currently stored food material data.
12. The information interaction system of an intelligent refrigerator of claim 11, wherein the recommendation information generation module further comprises a matching recipe generation unit;
the matching menu generating unit is used for generating a matching menu corresponding to the currently stored food material data, and the recommendation information comprises the matching menu.
13. The information interaction system of the intelligent refrigerator as claimed in claim 12, wherein the information interaction system further comprises a nutrient component obtaining module, a nutrient component to be supplemented obtaining module and a nutrient index library, and the recommendation information generating module further comprises a healthy food material recommendation list generating unit;
the nutrition index database prestores nutrition indexes;
the nutrient component acquisition module is used for acquiring nutrient component data of the currently stored food material data;
the nutrient component to be supplemented acquisition module is used for acquiring nutrient component data to be supplemented of the intelligent refrigerator according to the nutrient component data and the nutrient indexes;
the healthy food material recommendation list generating unit is used for generating a healthy food material recommendation list containing the nutrient component data to be supplemented, and the recommendation information further comprises the healthy food material recommendation list.
14. The information interaction system of the intelligent refrigerator as claimed in claim 10, wherein the food material data associated with the intelligent refrigerator further comprises food material data purchased by a user in a shopping platform associated with the intelligent refrigerator, and/or the food material data associated with the intelligent refrigerator further comprises food material data input by the user through the display or the APP of the intelligent refrigerator.
15. The information interaction system of the intelligent refrigerator as claimed in claim 14, further comprising an area range presetting module and an area food material data acquiring module, wherein the recommendation information generating module further comprises an area preference food material generating unit and an area food material recommendation list generating unit;
the region range presetting module is used for presetting a region range;
the region food material data acquisition module is used for acquiring region food material data of all intelligent refrigerators in the region range within a first time period;
the region preferred food material generation unit is used for counting the region food material data to obtain a plurality of food materials which are purchased by users of all intelligent refrigerators in the region range at the highest frequency on a shopping platform and serve as the region preferred food materials of the users of all the intelligent refrigerators in the region range;
the region food material recommendation list generating unit is used for generating a region food material recommendation list according to the region preferred food material, and the recommendation information comprises the region food material recommendation list.
16. The information interaction system of an intelligent refrigerator as claimed in claim 15, wherein the recommendation information generating module further comprises a group purchase recommendation information generating unit;
the group purchase recommendation information generation unit is used for generating group purchase recommendation information according to the regional food material recommendation list, and the recommendation information further comprises the group purchase recommendation information.
17. The information interaction system of the intelligent refrigerator as claimed in claim 14, further comprising a segment food material data acquisition module, wherein the recommendation information generation module further comprises a personal preference food material unit and a personal food material recommendation list generation unit;
the section food material data acquisition module is used for acquiring section food material data of the intelligent refrigerator in a second time period;
the individual preference food material unit is used for counting the section food material data to obtain a plurality of food materials which are purchased by a user of a single intelligent refrigerator on a shopping platform and have the highest frequency as individual preference food materials of the user of the single intelligent refrigerator;
the individual food material recommendation list generating unit is used for generating an individual food material recommendation list according to the individual preference food material, and the recommendation information comprises the individual food material recommendation list.
18. The information interaction system of the intelligent refrigerator as claimed in claim 17, further comprising a group purchase application receiving module, wherein the recommendation information generating module further comprises a first detecting unit, a second detecting unit, a group purchase application recommending unit and a confirmation group purchase information generating unit;
the group purchase application receiving module is used for receiving a group purchase application initiated by a target user for a target food material;
the first detection unit is used for detecting whether the individual food material recommendation list of each user within a preset distance range from the target user contains the target food material, and if yes, the group purchase application recommendation unit is called;
the group purchase application recommending unit is used for recommending the group purchase application to a user containing the target food material in a personal food material recommending list;
the second detection unit is used for detecting whether the purchase quantity of the target food material by all the users who accept the group purchase application exceeds a preset threshold value, and if so, the confirmed group purchase information generation unit is called;
the confirmed group purchase information generating unit is used for generating confirmed group purchase information of the target food material;
and the display screen of the intelligent refrigerator of the user receiving the group purchase application is used for displaying the confirmed group purchase information.
19. A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements the steps of the information interaction method of the intelligent refrigerator of any one of claims 1 to 9.
20. An intelligent refrigerator, comprising a display screen, a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the information interaction method of the intelligent refrigerator according to any one of claims 1 to 9 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811015182.4A CN110875090A (en) | 2018-08-31 | 2018-08-31 | Intelligent refrigerator and information interaction method, system and computer-storable medium thereof |
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| CN201811015182.4A CN110875090A (en) | 2018-08-31 | 2018-08-31 | Intelligent refrigerator and information interaction method, system and computer-storable medium thereof |
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| CN110875090A true CN110875090A (en) | 2020-03-10 |
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| CN201811015182.4A Pending CN110875090A (en) | 2018-08-31 | 2018-08-31 | Intelligent refrigerator and information interaction method, system and computer-storable medium thereof |
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