CN111428157A - Intelligent menu recommendation method, device and system and refrigerator - Google Patents

Intelligent menu recommendation method, device and system and refrigerator Download PDF

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Publication number
CN111428157A
CN111428157A CN202010230579.6A CN202010230579A CN111428157A CN 111428157 A CN111428157 A CN 111428157A CN 202010230579 A CN202010230579 A CN 202010230579A CN 111428157 A CN111428157 A CN 111428157A
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food material
refrigerator
information
food
dimension information
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CN111428157B (en
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康弦
刘皓
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Sichuan Hongmei Intelligent Technology Co Ltd
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Sichuan Hongmei Intelligent Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2500/00—Problems to be solved
    • F25D2500/06—Stock management
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2600/00—Control issues
    • F25D2600/06—Controlling according to a predetermined profile
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2700/00—Means for sensing or measuring; Sensors therefor
    • F25D2700/04—Sensors detecting the presence of a person
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/68—Food, e.g. fruit or vegetables

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

Abstract

The invention provides an intelligent menu recommendation method, device and system and a refrigerator, wherein the method comprises the following steps: acquiring food material information of a current refrigerator; obtaining at least one piece of food material dimension information of at least one refrigerator in a preset geographic range; and generating a recommended menu according to the at least one piece of food material dimension information and the food material information. The scheme of the invention can realize the refrigerator menu recommendation function under the condition of ensuring safety.

Description

Intelligent menu recommendation method, device and system and refrigerator
Technical Field
The invention relates to the field of household appliances, in particular to an intelligent menu recommendation method, device and system and a refrigerator.
Background
The refrigerator is a household appliance necessary for each household, is used for refrigerating and preserving food and prolonging the shelf life of the food, and along with the improvement of science and technology, the refrigerator also has more and more intelligent functions, wherein the functions comprise the function of recommending recipes.
At present, the menu recommending function is realized on a refrigerator, food data and behavior data in the refrigerator of each user need to be stored in a background server in a centralized manner, and a menu is recommended to the refrigerator of each user through big data algorithm analysis.
However, this method needs to store a large amount of data to the server in a centralized manner, and the data security is difficult to guarantee when the server stores a large amount of data. Therefore, a refrigerator recipe recommendation function for securing data is required.
Disclosure of Invention
The embodiment of the invention provides an intelligent menu recommendation method, device and system and a refrigerator, which can realize a menu recommendation function of the refrigerator under the condition of ensuring safety.
In a first aspect, an embodiment of the present invention provides an intelligent recipe recommendation method, including:
acquiring food material information of a current refrigerator;
obtaining at least one piece of food material dimension information of at least one refrigerator in a preset geographic range;
and generating a recommended menu according to the at least one piece of food material dimension information and the food material information.
Preferably, the first and second electrodes are formed of a metal,
further comprising:
collecting food material dimension data of a current refrigerator;
receiving an acquisition instruction sent by any refrigerator within the preset geographic range;
generating food material dimension information of the first refrigerator according to the food material dimension data and the at least one piece of food material dimension information;
and sending at least one piece of food material dimension information of the current refrigerator to the refrigerator in the preset geographic range sent by the acquisition instruction.
Preferably, the first and second electrodes are formed of a metal,
the detecting of the food material information of the current refrigerator comprises the following steps:
acquiring a food material image of the food material in the current refrigerator;
and identifying the food material image, and determining the food material information of the current refrigerator.
Preferably, the first and second electrodes are formed of a metal,
the food material dimension information comprises: at least two of the type of food material, time, consumption of food material;
preferably, the first and second electrodes are formed of a metal,
the food material information comprises: the type and the number of the food materials in the current refrigerator.
In a second aspect, an embodiment of the present invention provides an intelligent recipe recommendation apparatus, including:
the food material information acquisition module is used for acquiring the food material information of the current refrigerator;
the dimension information acquisition module is used for acquiring at least one piece of food material dimension information of the refrigerator in at least one preset geographic range;
and the menu generating module is used for generating a recommended menu according to the at least one piece of food material dimension information and the food material information.
Preferably, the first and second electrodes are formed of a metal,
further comprising:
the acquisition module is used for acquiring food material dimension data of the current refrigerator;
the receiving module is used for receiving an acquisition instruction sent by any refrigerator within the preset geographic range;
the dimension information generating module is used for generating food material dimension information of the first refrigerator according to the food material dimension data and the at least one piece of food material dimension information;
and the sending module is used for sending the food material dimension information of at least one current refrigerator to the refrigerator in the preset geographic range sent by the obtaining instruction.
Preferably, the first and second electrodes are formed of a metal,
the food material information acquisition module is used for acquiring food material images of food materials in the current refrigerator, identifying the food material images and determining the food material information of the current refrigerator;
preferably, the first and second electrodes are formed of a metal,
the food material dimension information comprises: at least two of the type of food material, time, consumption of food material;
preferably, the first and second electrodes are formed of a metal,
the food material information comprises: the type and the number of the food materials in the current refrigerator.
In a third aspect, an embodiment of the present invention provides a refrigerator, including: the intelligent menu recommending device and the intelligent menu acquiring device are provided by any one of the second aspect;
the acquisition device is connected with the intelligent menu recommending device;
the collecting device is used for collecting the food material information of the current refrigerator and sending the food material information to the intelligent menu recommending device.
Preferably, the first and second electrodes are formed of a metal,
the collection system comprises: a camera;
preferably, the first and second electrodes are formed of a metal,
further comprising: a detection device;
the detection device is used for detecting whether a user exists in the preset range of the current refrigerator, and if yes, the intelligent menu recommending device is triggered.
In a fourth aspect, an embodiment of the present invention provides a recipe recommendation system, including: at least two refrigerators provided in the third aspect above, the at least two refrigerators being connected via the internet.
The embodiment of the invention provides an intelligent menu recommendation method, device and system and a refrigerator, wherein the method comprises the following steps: the method comprises the steps of obtaining information of food materials stored in a current refrigerator, obtaining at least one piece of food material dimension information of the refrigerator within at least one preset geographic range, and generating a menu to be recommended according to the information of the existing food materials in the refrigerator and the at least one piece of food material dimension information. In the invention, the information is directly acquired between the refrigerators without a server, and the recommendation of the menu is also generated in the local machine; meanwhile, the data of specific users can not be reversely deduced through the dimension data of the food materials, and the menu recommendation is realized under the condition of ensuring the safety.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an intelligent recipe recommendation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an intelligent recipe recommendation device according to an embodiment of the present invention;
fig. 3 is a schematic view of a refrigerator according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an intelligent recipe recommendation method, which may include the following steps:
step 101: and acquiring the food material information of the current refrigerator.
Step 102: obtaining at least one piece of food material dimension information of at least one refrigerator in a preset geographic range.
Step 103: and generating a recommended menu according to the at least one piece of food material dimension information and the food material information.
Specifically, in the recipe recommendation function of a refrigerator today, a large amount of food material information is stored in a server by acquiring the food material information in a plurality of client refrigerators, and when recipe recommendation is required, analysis and recommendation are performed according to a large amount of data stored in the server. The risk of storing a large amount of data in the server is great, which easily results in data loss and privacy disclosure of users, and meanwhile, a great amount of economic cost is consumed for storing a large amount of data in the server. In an embodiment of the invention, a refrigerator which needs to recommend a recipe at present obtains the food material information in the refrigerator, but does not upload the food material information to a server, and is only used for analysis and processing by a local computer. Each refrigerator is connected with the network through the wireless local area network, can be positioned according to the wireless local area network, and can be positioned to the positions of cells or streets and the like where other refrigerators are located. The method comprises the steps that a user determines refrigerators in a certain geographic area serving as a reference object by setting a geographic position range, food material dimension information is obtained from the refrigerators, interaction is carried out between the refrigerators, and data are not transmitted and received through a server. And analyzing in the machine according to the food material dimension information and the food material information, and intelligently recommending a menu to the current refrigerator user. The food material dimension information represents the preference of a certain number of users from one angle, exists in the form of dimension data, and cannot inversely deduce the data of a single user according to the food material dimension information because the food material dimension information represents the preference of a plurality of users. Only dimension data can be transmitted between the refrigerators, safety is guaranteed, and privacy data of users cannot be revealed.
In an embodiment of the present invention, the method further includes: collecting food material dimension data of a current refrigerator;
receiving an acquisition instruction sent by a refrigerator in any preset geographic range;
generating food material dimension information of a first refrigerator according to the food material dimension data and at least one piece of food material dimension information;
and sending the food material dimension information of at least one current refrigerator to the refrigerator in the preset geographic range sent by the refrigerator to obtain the instruction.
Specifically, after the food material information of the refrigerator is acquired, dimension data can be further generated according to the food material information, for example, an apple is in the refrigerator, according to the information, as the apple belongs to the fruit, dimension data 'likes fruit' is generated, when the refrigerator receives the food material dimension information related to the fruit, more accurate food material dimension information related to the fruit can be generated according to the dimension data related to the fruit, which is generated by the refrigerator, and when the refrigerator acquires an acquisition instruction sent by the refrigerator within a preset geographic range, the more accurate food material dimension information is sent to the refrigerator within the preset geographic range, so that the refrigerator within the preset geographic range can recommend a menu more accurately.
In an embodiment of the present invention, step 101 includes: acquiring a food material image of a food material in a current refrigerator;
and identifying the food material image, and determining the current food material information of the refrigerator.
Specifically, a camera device is arranged in the refrigerator, food material images in the refrigerator are obtained through the camera device, and by means of an image recognition technology, the types of food in the refrigerator are recognized through different characteristics of each food material, so that the food material information of the current refrigerator is determined.
In an embodiment of the present invention, the dimension information of the food material includes: at least two of the type of food material, time, consumption of food material;
specifically, the food dimension information is generated by a rule of a combination of three parameters, namely, a type of food, time and consumption of food, and data reflecting the preference or behavior of a certain number of users is generated by the combination of the three parameters. For example, when the type and time of the food material are combined into the food material dimension information, the food material dimension information represents the type of the food material in the refrigerator in a certain time period, such as: cabbage is in the refrigerator at noon. When the types of food materials and the consumption of the food materials are combined, it indicates that the consumption of a certain type of food materials is high, and indicates that a certain number of users like the food materials, for example: residents in nearby communities like to eat Chinese cabbage. When time is combined with consumption of food material, it means that a certain number of users like to eat a certain food at a certain time point, such as: nearby people like eating apples at noon.
In the embodiment of the present invention, the food material information includes: the type and amount of food in the current refrigerator.
Specifically, in order to generate the food dimension information, the food information needs to reflect the type and the number of the food in the refrigerator, the type corresponds to the parameter of the type of the food, the data of the consumption amount of the food can be determined according to the number of the food, the acquisition time is relatively easy, and the time can be determined by connecting a network.
As shown in fig. 2, an embodiment of the present invention provides an intelligent recipe recommendation apparatus, including:
a food material information obtaining module 201, configured to obtain food material information of a current refrigerator;
the dimension information acquiring module 202 is used for acquiring at least one piece of food material dimension information of at least one refrigerator within a preset geographic range;
and the recipe generating module 203 is configured to generate a recommended recipe according to the at least one piece of food material dimension information and the food material information.
In an embodiment of the present invention, the apparatus further includes:
the acquisition module is used for acquiring food material dimension data of the current refrigerator;
the receiving module is used for receiving an acquisition instruction sent by a refrigerator in any preset geographic range;
the dimension information generating module is used for generating food material dimension information of the first refrigerator according to the food material dimension data and the at least one piece of food material dimension information;
and the sending module is used for sending the food material dimension information of at least one current refrigerator to the refrigerator within the preset geographic range from which the acquisition instruction is sent.
In an embodiment of the present invention, the food material information obtaining module 201 is configured to obtain a food material image of a food material in a current refrigerator, identify the food material image, and determine food material information of the current refrigerator;
in an embodiment of the present invention, the dimension information of the food material includes: at least two of the type of food material, time, consumption of food material;
in an embodiment of the present invention, the food material information includes: the type and amount of food in the current refrigerator.
Because the content of information interaction, execution process, and the like among the modules in the device is based on the same concept as the method embodiment of the present invention, specific content can be referred to the description in the method embodiment of the present invention, and is not described herein again.
As shown in fig. 3, an embodiment of the present invention provides a refrigerator including: the intelligent menu recommending device 301 and the collecting device 302 provided by any one of the above embodiments;
the acquisition device 302 is connected with the intelligent menu recommending device 301;
and the acquisition device 302 is used for acquiring the food material information of the current refrigerator and sending the food material information to the intelligent recipe recommending device.
In an embodiment of the present invention, the collecting apparatus includes: a camera;
specifically, the camera is installed in a food storage area of the refrigerator and used for shooting at least one food image in the refrigerator and sending the food image to the intelligent menu recommending device, so that the intelligent menu recommending device can determine food information in the refrigerator. In order to make the food information more accurate, a plurality of cameras may be installed at a plurality of angles within the refrigerator.
In an embodiment of the present invention, the refrigerator further includes: a detection device;
and the detection device is used for detecting whether a user exists in the preset range of the current refrigerator, and if so, triggering the intelligent menu recommending device.
Particularly, the detection device can be an infrared sensor, when a user exists in the preset range of the refrigerator, the infrared sensor can sense the heat radiation of the user, the user is determined to exist nearby the refrigerator, the intelligent menu recommending device can be automatically triggered at the moment, and the use of the user is facilitated.
An embodiment of the invention provides an intelligent menu recommendation system which comprises at least two refrigerators provided by the embodiment. Install the wiFi module in the refrigerator, can carry out direct connection through the thing networking between the messenger refrigerator, carry out the receiving and dispatching of eating material dimension data between each other, and then the intelligent menu of recommending.
For example, there are several refrigerators provided by the above embodiments in one cell, which are connected via WiFi. At night, Chinese cabbages, radishes and pork are filled in a refrigerator A in a community, at the moment, the refrigerator A needs to acquire a menu, the refrigerator A sends an acquisition instruction to a refrigerator B, a refrigerator C and a refrigerator D in the community, at the moment, the refrigerator B, the refrigerator C and the refrigerator D all contain vegetables, so that food material dimension information 'people in the community like to eat vegetables at night' is generated, when the refrigerator A receives the food material dimension information, the food material dimension information is combined with food material information in the refrigerator A, two food materials of radishes and Chinese cabbages belonging to vegetable categories are found, and therefore the menu of the radishes and the Chinese cabbages which are related to vegetable food materials is recommended according to the food material dimension information 'people in the community like to eat vegetables at night'.
It is understood that the illustrated structure of the embodiment of the invention does not form a specific limitation on the intelligent menu recommending device. In other embodiments of the present invention, the intelligent recommended recipe means may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
In order to make the implementation of the present invention clearer, the following is made by way of example:
1. collecting food material information of the machine: after the refrigerator is started, the refrigerator collects information (including but not limited to the type and quantity of food) of a user from various angles through a camera, such as tomatoes, eggs, pork and chicken in the refrigerator. The information is not uploaded to the server and is only used for processing of the local computer.
2. Recommending a menu: the refrigerator receives new dimension information, and the new dimension information is as follows: and the surrounding people like to eat vegetables, the two vegetables, namely the Chinese cabbage and the radish, are just arranged in the refrigerator, and the menu related to the Chinese cabbage and the radish is recommended according to the dimension information that the surrounding people like to eat the vegetables.
3: generating new food material dimension information: the refrigerator receives the new dimension information: people around like eating the egg, so just in time have this edible material of egg in the refrigerator, when recommending the relevant menu of egg, can generate new edible material dimension information, if: everybody likes to eat eggs. The more dimension data of the user, the more new dimension information is generated, and the more intelligent the recommended menu is, the more suitable the user is.
The embodiments of the invention have at least the following beneficial effects:
1. in the invention, the information is directly acquired between the refrigerators without a server, and the recommendation of the menu is also generated in the local machine; meanwhile, the data of specific users can not be reversely deduced through the dimension data of the food materials, and the menu recommendation is realized under the condition of ensuring the safety.
2. Data are transmitted among the refrigerators, and the data are not stored through a server, so that the operation cost is saved.
3. Dimension data is communicated between refrigerators, and represents preferences of a group of people but not individual users. The user preference of a certain refrigerator can not be reversely analyzed through the dimension data, so that the user preference data is protected, namely the privacy is protected.
4. With the acquisition and the transmission of the food dimension information, more and more accurate food dimension information can be further generated according to the food material information in the refrigerator, and if the dimension data of the user is enough, the recommended menu more intelligently accords with the user.
It should be noted that not all steps and modules in the above flows and system structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware module may be implemented mechanically or electrically. For example, a hardware module may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. A hardware module may also include programmable logic or circuitry (e.g., a general-purpose processor or other programmable processor) that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that various combinations of the code auditing means in the various embodiments described above may be used to obtain further embodiments of the invention, which are also within the scope of the invention.

Claims (10)

1. The intelligent menu recommendation method is characterized by being applied to a refrigerator and comprising the following steps:
acquiring food material information of a current refrigerator;
obtaining at least one piece of food material dimension information of at least one refrigerator in a preset geographic range;
and generating a recommended menu according to the at least one piece of food material dimension information and the food material information.
2. The method of claim 1,
further comprising:
collecting food material dimension data of a current refrigerator;
receiving an acquisition instruction sent by any refrigerator within the preset geographic range;
generating food material dimension information of the first refrigerator according to the food material dimension data and the at least one piece of food material dimension information;
and sending at least one piece of food material dimension information of the current refrigerator to the refrigerator in the preset geographic range sent by the acquisition instruction.
3. The method of claim 1,
the acquiring of the food material information of the current refrigerator comprises the following steps:
acquiring a food material image of the food material in the current refrigerator;
and identifying the food material image, and determining the food material information of the current refrigerator.
4. The method of claim 1,
the food material dimension information comprises: at least two of the type of food material, time, consumption of food material;
and/or the presence of a gas in the gas,
the food material information comprises: the type and the number of the food materials in the current refrigerator.
5. Intelligence menu recommendation device, its characterized in that includes:
the food material information acquisition module is used for acquiring the food material information of the current refrigerator;
the dimension information acquisition module is used for acquiring at least one piece of food material dimension information of the refrigerator in at least one preset geographic range;
and the menu generating module is used for generating a recommended menu according to the at least one piece of food material dimension information and the food material information.
6. The apparatus of claim 5,
further comprising:
the acquisition module is used for acquiring food material dimension data of the current refrigerator;
the receiving module is used for receiving an acquisition instruction sent by any refrigerator within the preset geographic range;
the dimension information generating module is used for generating food material dimension information of the first refrigerator according to the food material dimension data and the at least one piece of food material dimension information;
and the sending module is used for sending the food material dimension information of at least one current refrigerator to the refrigerator in the preset geographic range sent by the obtaining instruction.
7. The apparatus according to any one of claims 5 to 6,
the food material information acquisition module is used for acquiring food material images of food materials in the current refrigerator, identifying the food material images and determining the food material information of the current refrigerator;
and/or the presence of a gas in the gas,
the food material dimension information comprises: at least two of the type of food material, time, consumption of food material;
and/or the presence of a gas in the gas,
the food material information comprises: the type and the number of the food materials in the current refrigerator.
8. A refrigerator, characterized by comprising: the intelligent recommended recipe device and the collection device of any one of claims 5 to 7;
the acquisition device is connected with the intelligent menu recommending device;
the collecting device is used for collecting the food material information of the current refrigerator and sending the food material information to the intelligent menu recommending device.
9. The refrigerator according to claim 8,
the collection system comprises: a camera;
and/or the presence of a gas in the gas,
further comprising: a detection device;
the detection device is used for detecting whether a user exists in the preset range of the current refrigerator, and if yes, the intelligent menu recommending device is triggered.
10. Intelligence menu recommendation system, its characterized in that includes: at least two refrigerators according to any one of claims 8 or 9, at least two of said refrigerators being connected via the internet.
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Cited By (4)

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CN112100484A (en) * 2020-08-13 2020-12-18 四川虹美智能科技有限公司 Menu recommendation method and system and intelligent refrigerator
CN112417282A (en) * 2020-11-20 2021-02-26 聚好看科技股份有限公司 Information recommendation method, food material storage equipment and server
CN113806604A (en) * 2021-10-11 2021-12-17 深圳市发掘科技有限公司 Menu recommendation method and system
WO2022042516A1 (en) * 2020-08-24 2022-03-03 聚好看科技股份有限公司 Information recommendation method, food material storage device, and server

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