Refrigerator and recipe recommendation method

文档序号：1000961 发布日期：2020-10-23 浏览：8次中文

阅读说明：本技术 一种冰箱及食谱推荐方法 (Refrigerator and recipe recommendation method ) 是由曲文武李江漫翟正元于 2020-07-14 设计创作，主要内容包括：本发明提供一种冰箱及食谱推荐方法,所述冰箱包括：机壳、门体、摄像头模组及控制器,所述控制器被配置为：获取用户的贮藏食材信息以及用户的偏好信息；利用贮藏食材信息以及推荐食谱集合中各食谱的需求食材信息,确定推荐食谱集合中各食谱的食材推荐参数,以及利用偏好信息以及推荐食谱集合中各食谱中食谱风格信息,确定各食谱的偏好推荐参数；根据各食谱的食材推荐参数以及偏好推荐参数确定食谱推荐参数；根据食谱推荐参数向用户推荐推荐食谱集合中的至少一个食谱。利用本发明可以在用户特征、食谱风格、用户食材等各维度的信息上,对不同用户的食谱进行个性化的推荐,既可以满足用户食谱偏好合理性的需求,也可以满足用户食谱制作的需求。(The invention provides a refrigerator and a recipe recommendation method, wherein the refrigerator comprises the following components: casing, door body, camera module and controller, the controller is configured into: acquiring stored food material information of a user and preference information of the user; determining a food material recommendation parameter of each recipe in the recommended recipe set by using the stored food material information and the required food material information of each recipe in the recommended recipe set, and determining a preference recommendation parameter of each recipe by using the preference information and the recipe style information of each recipe in the recommended recipe set; determining a recipe recommendation parameter according to the food material recommendation parameter and the preference recommendation parameter of each recipe; and recommending at least one recipe in the recommended recipe set to the user according to the recipe recommendation parameters. By using the invention, the recipes of different users can be recommended individually on the information of various dimensions such as user characteristics, recipe styles, user food materials and the like, so that the requirements of rationality of the recipe preferences of the users can be met, and the requirements of recipe making of the users can also be met.)

1. A refrigerator, characterized in that the refrigerator comprises:

a cabinet including a storage compartment having an opening;

the door body is movably connected with the shell and used for shielding the opening;

the camera module is used for collecting images and sending the images to the controller;

a controller configured to:

acquiring stored food material information in storage equipment corresponding to a user and preference information of the user;

determining a food material recommendation parameter of each recipe in a recommended recipe set by using the stored food material information and the required food material information of each recipe in the recommended recipe set, and determining a preference recommendation parameter of each recipe by using the preference information and the recipe style information of each recipe in the recommended recipe set;

determining the recipe recommendation parameters according to the food material recommendation parameters and the preference recommendation parameters of the recipes;

and recommending at least one recipe in the recommended recipe set to a user according to the recipe recommendation parameters.

2. The refrigerator of claim 1, wherein the controller determines the food material recommendation parameter for each recipe using the stored food material information and the required food material information for each recipe in the recipe set, comprising:

multiplying the same food material parameters in the required food material information and the stored food material information, adding the product results of the food materials, and determining the food material recommendation parameters of the recipes.

3. The refrigerator of claim 1, wherein the controller obtains the food material parameters in the stored food material information by any one or more of the following methods:

determining the food material parameters by utilizing the product of the freshness of the food materials and the food material types;

determining the food material parameters by utilizing the product of the food material weight parameters and the food material types.

4. The refrigerator of claim 3, wherein the controller obtains food freshness by:

the method comprises the steps of obtaining the storage time of each food material in storage equipment corresponding to a user, marking the food material freshness of the food material as a first preset value when the storage time of the food material is larger than the quality guarantee time, and otherwise, determining the food material freshness according to the ratio of the storage time to the quality guarantee time.

5. The refrigerator of claim 3, wherein the controller obtains the food material weight parameter by:

the method comprises the steps of obtaining the weight of each food material in storage equipment corresponding to a user, marking the weight parameter of the food material as a second preset value when the weight of the food material is larger than a preset weight threshold corresponding to the food material, and otherwise, determining the weight parameter of the food material according to the ratio of the weight of the food material to the preset weight threshold.

6. The refrigerator of claim 1, wherein determining the preference recommendation parameter for each recipe using the preference information and the recipe style information in each recipe in the set of recommended recipes comprises:

and multiplying the recipe style information in each recipe in the recommended recipe set by the taste style parameters of the same category in the preference information, adding the product results of the taste style parameters, and determining the preference recommendation parameters of each recipe.

7. A recipe recommendation method, characterized in that the method comprises:

acquiring stored food material information in storage equipment corresponding to a user and preference information of the user;

determining the recipe recommendation parameters according to the food material recommendation parameters and the preference recommendation parameters of the recipes;

and recommending at least one recipe in the recommended recipe set to a user according to the recipe recommendation parameters.

8. The method of claim 7, wherein determining the food material recommendation parameter for each recipe using the stored food material information and the required food material information for each recipe in the set of recipes comprises:

9. The method of claim 7, wherein determining the preferred recommendation parameter for each recipe using the preferred information and the recipe style information for each recipe in the set of recommended recipes comprises:

and multiplying the same taste style parameters in the preference information by the taste style information in each recipe in the recommended recipe set, adding the product results of the taste style parameters, and determining the preference recommendation parameters of each recipe.

10. A computer storage medium on which a computer program is stored, which computer program, when being executed by a processor, carries out the method according to any one of claims 7-9.

Technical Field

The invention relates to the field of intelligent recommendation, in particular to a refrigerator and a recipe recommendation method.

Background

The smart home is a technology of comprehensively utilizing the internet of things, big data analysis and a cloud platform, along with the improvement of living standard, a user hopes that kitchen equipment with the function of the smart home can recommend diversified diets on the premise of meeting the taste of the user, and diet intelligence recommendation is an important component of the smart home and is more and more important in the formation of a smart home life service system.

The traditional recipe recommendation method generally searches for a corresponding relation based on user preferences and characteristics of recipes, and recommends a proper recipe for a user according to the corresponding relation, but many preferences exist for the user, and the traditional recipe recommendation method is difficult to balance the preferences, so that the traditional method is difficult to give the most accurate recipe recommendation by fully utilizing the preferences of the user, and the traditional recommendation method does not consider the practical feasibility of recipe making due to lack of food material information of the user, namely whether food materials owned by the user are matched with the recipes or not, and possibly causes the problem that the recommended recipe is reasonable relative to the preferences, but the user does not have corresponding food materials to make the recipe.

Disclosure of Invention

The invention provides a refrigerator and a recipe recommendation method, which are used for solving the problems that the most accurate diet recommendation is difficult to be given by fully utilizing user preferences in the traditional method, and the recipe recommended by the traditional recommendation method cannot be made by a user according to the recipe due to insufficient food materials in the recipe, the obtained user experience is very poor, and the daily diet recommendation of the user is difficult to meet.

A first aspect of the present invention provides a refrigerator including:

a cabinet including a storage compartment having an opening;

the door body is movably connected with the shell and used for shielding the opening;

the camera module is used for collecting images and sending the images to the controller;

a controller configured to:

acquiring stored food material information in storage equipment corresponding to a user and preference information of the user;

determining the recipe recommendation parameters according to the food material recommendation parameters and the preference recommendation parameters of the recipes;

and recommending at least one recipe in the recommended recipe set to a user according to the recipe recommendation parameters.

Optionally, the determining, by the controller, the food material recommendation parameter of each recipe by using the stored food material information and the required food material information of each recipe in the recipe set includes:

Optionally, the controller obtains the food material parameters in the stored food material information through any one or any multiple of the following modes, including:

determining the food material parameters by utilizing the product of the freshness of the food materials and the food material types;

determining the food material parameters by utilizing the product of the food material weight parameters and the food material types.

Optionally, the controller obtains the freshness of the food material by:

Optionally, the controller obtains the weight parameter of the food material by the following method, including:

Optionally, determining a preference recommendation parameter of each recipe by using the preference information and the recipe style information in each recipe in the recommended recipe set, including:

The invention provides a recipe recommendation method in a second aspect, the method comprising:

acquiring stored food material information in storage equipment corresponding to a user and preference information of the user;

determining the recipe recommendation parameters according to the food material recommendation parameters and the preference recommendation parameters of the recipes;

and recommending at least one recipe in the recommended recipe set to a user according to the recipe recommendation parameters.

Optionally, the determining the food material recommendation parameters of the recipes by using the stored food material information and the required food material information of each recipe in the recipe set includes:

Optionally, the obtaining of the food material parameters in the stored food material information by any one or any multiple of the following manners includes:

determining the food material parameters by utilizing the product of the freshness of the food materials and the food material types;

determining the food material parameters by utilizing the product of the food material weight parameters and the food material types.

Optionally, the obtaining of the freshness of the food material by the following method includes:

Optionally, the obtaining of the weight parameter of the food material by the following method includes:

The third aspect of the invention provides a recipe recommendation device, which comprises the following modules:

the food material and preference acquisition module is used for acquiring stored food material information in storage equipment corresponding to the user and preference information of the user;

a parameter determination module, configured to determine a food material recommendation parameter of each recipe in a recommended recipe set by using the stored food material information and required food material information of each recipe in the recommended recipe set, and determine a preference recommendation parameter of each recipe by using the preference information and recipe style information of each recipe in the recommended recipe set;

the recipe parameter module is used for determining the recipe recommendation parameters according to the food material recommendation parameters and the preference recommendation parameters of the recipes;

and the recipe recommendation module is used for recommending at least one recipe in the recommended recipe set to the user according to the recipe recommendation parameters.

Optionally, the food material and preference obtaining module is configured to determine the food material recommendation parameters of each recipe by using the stored food material information and the required food material information of each recipe in the recipe set, and includes:

Optionally, the food material and preference obtaining module is configured to obtain the food material parameters in the stored food material information in any one or any multiple of the following manners, including:

determining the food material parameters by utilizing the product of the freshness of the food materials and the food material types;

determining the food material parameters by utilizing the product of the food material weight parameters and the food material types.

Optionally, the food material and preference obtaining module is configured to obtain the freshness of food material by:

Optionally, the food material and preference obtaining module is configured to obtain the weight parameter of the food material by the following method, including:

Optionally, the recipe parameter module is configured to determine a preference recommendation parameter of each recipe by using the preference information and the recipe style information in each recipe in the recommended recipe set, and includes:

A fourth aspect of the invention provides a computer storage medium having stored thereon a computer program which, when executed by a processor, performs the method according to any one of the second aspects of the invention.

By utilizing the refrigerator and the recipe recommendation method provided by the invention, the recipes of different users are recommended in an individualized manner on the basis of comprehensive analysis of information of dimensions such as user characteristics, recipe styles, user food materials and the like, so that the requirements of rationality of recipe preference of the users can be met, and the requirements of recipe making of the users can also be met.

Drawings

FIG. 1 is a diagram of an application scenario of a refrigerator;

FIGS. 2a and 2b are schematic structural views of a refrigerator;

FIG. 3 is a schematic view of a front area of the refrigerator cabinet;

fig. 4 is a block diagram of some configurations of a refrigerator;

FIG. 5 is a block diagram of an architectural configuration of an operating system;

FIG. 6 is a flow chart of steps that the controller is configured to perform;

FIG. 7 is a schematic view of an interface for actively entering preference requirements;

FIG. 8 is a schematic illustration of an introduction interface for recipes;

FIG. 9 is a schematic view of an interface for recommending recipes according to stored food material information and preference information;

FIG. 10 is a schematic view of an interface for determining a recommended recipe based on a current time period;

fig. 11 is a schematic view of an evaluation interface of a recommended recipe.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present application, 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, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. 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.

In the description of the present disclosure, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing and simplifying the disclosure, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the disclosure.

The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present disclosure, "a plurality" means two or more unless otherwise specified.

In the description of the present disclosure, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present disclosure can be understood in specific instances by those of ordinary skill in the art.

In the description of the present disclosure, the coordinates of the different points may be coordinates of each point collected according to the sampling density, or may be coordinates of a part of points obtained by filtering the coordinates of each point, and a person having ordinary skill in the art can understand the specific meaning of the above terms in the present disclosure in a specific case.

Because each recipe usually needs to be made by a plurality of food materials, and the consumption ratio of the food materials in each recipe is different, the conventional recommendation method does not consider the situation that a user possibly lacks the food materials in the recommended recipe, and the situation that the user cannot make the recipe according to the recipe because the user lacks a certain food material in the recommended recipe even though the user determines to recommend a certain recipe according to the user preference results in the situation that the user cannot make the food materials according to the recipe.

Based on the above, the embodiment of the application provides a refrigerator, which carries out personalized recommendation on a recipe of a user on the basis of comprehensive analysis of dimension information such as user characteristics, the recipe style and food materials of the user, so that the user requirement on the rationality of the recipe can be met, and the user requirement on the recipe making can also be met.

The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

Referring to fig. 1, a view of an application scenario of a refrigerator according to some embodiments of the present disclosure is shown.

The refrigerator 100 may provide functions including, but not limited to, a food freshness function and a food volume estimation function. The specific refrigerator type, size, power, etc. are not limited.

The refrigerator 100 also performs data communication with the server 200 through various communication means. Here, the refrigerator 100 may be allowed to be communicatively connected through a Local Area Network (LAN), a Wireless Local Area Network (WLAN), and other networks. The server 200 may provide various contents and interactions to the refrigerator 100. The refrigerator 100 of the embodiment may transmit and receive information, such as: receiving object identification data, accessing a remotely stored digital media library, and sending image data to be detected. The servers 200 may be a group or groups of servers, and may be one or more types of servers. The server 200 may be deployed locally or in the cloud, and the functions such as image recognition are realized by the server 200.

Specifically, fig. 2a and 2b illustrate an example of a structure of a refrigerator according to an embodiment of the present application.

As shown in fig. 2a, the refrigerator includes a cabinet 110, a cooling portion (not shown in the figure), and other accessories (for example, an illumination lamp, a thermometer, etc. may be provided in the cabinet, not shown in the figure). The refrigerating system mainly comprises a compressor, a condenser, an evaporator, a capillary restrictor and other components, and a closed circulating system is formed by the components. Wherein, the evaporator can be installed at the upper part of the refrigerator, and other components are installed at the back of the refrigerator.

The door 120 is installed on the cabinet 110, and a display 150 may be further disposed on the door 120, and the display 150 is coupled to the controller (e.g., connected via a circuit).

The cabinet 110 may include a storage compartment. The external appearance of the refrigerator 100 may be determined by a storage chamber defining a storage space and a door 120 provided in the storage chamber. In some embodiments, the storage compartment is a housing having an opening formed by a storage compartment liner, a storage compartment housing, and a foaming layer therebetween. The door 120 is used to shield an opening of the storage chamber. The storage compartment is vertically partitioned into a freezing compartment located below and a refrigerating compartment located above. Wherein the freezing chamber and the refrigerating chamber may have independent storage spaces, respectively.

In some embodiments, the door 120 may include a freezing chamber door and a refrigerating chamber door. Also, a freezing compartment is defined at a lower side of the storage compartment and an opening of the freezing compartment may be selectively covered by a freezing compartment door body.

In some embodiments, the refrigerating compartment is defined at an upper side of the storage compartment, i.e., the refrigerating compartment is disposed above the freezing compartment. The opening of the refrigerating chamber is selectively covered by the refrigerating chamber door body. In practical application, the refrigerating chamber door body is pivotally arranged on the refrigerating chamber, so that the opening of the refrigerating chamber can be selectively opened or closed through the refrigerating chamber door body.

In some embodiments, a storage compartment of a refrigerator in an embodiment of the present invention may include a storage drawer and first and second shelves on the storage drawer. Wherein, the first shelf and the second shelf of the storage drawer can be used for holding food materials (e.g., fruits, vegetables, etc.) respectively.

A camera module 130 may also be provided on the case 110, and may capture images in a front region of the case 110. The plane of the refrigerator door is taken as a first plane, the front area of the refrigerator body 110 at least comprises an area which is extended to the outside of the refrigerator by a certain distance by taking the first plane as a reference, and the camera module can acquire images of the area, namely, hand motion images in the food material storing and taking process after a user opens the door body 120 and images of stored food materials can be shot and the storing and taking time is recorded.

As shown in fig. 2b, the refrigerator body 110 may include a plurality of partitions (e.g., partitions 50a to 50e) therein to facilitate the user to store different food materials in different categories.

In some embodiments, the camera module 130 may be disposed at an upper portion of the cabinet 110 near the door 120 so as to be able to capture an image in a front region of the cabinet 110.

Fig. 3 shows a schematic view of the front side region of the housing 110. As shown in the figure, the plane where the camera module shoots in the closed state of the refrigerator door is called a plane H1. The camera module is at least capable of acquiring images of the area of the plane H1. The distance between the plane H1 and the refrigerator can be set according to the shooting range of the camera, the length parameter of the human arm, the image recognition accuracy and other factors, for example, the distance can be set to be 25 cm-35 cm.

In some embodiments, the camera module 130 may be disposed on a fixing part, and the fixing part may enable a lens of the camera module to protrude a certain distance from a plane where the door 120 is located, so as to be able to better capture an image in a front region of the cabinet 110. When a user opens the door 120 or triggers a food material detection instruction, the camera module can be opened, and when the user closes the door or triggers the food material detection completion instruction, the camera module can be triggered to close. The shape, connection mode and material of the fixing component are not limited in the embodiments of the present application.

In other embodiments, the camera module 130 may be disposed on a movable part, and the movable part may pop up the camera module 130 when the user opens the door 120 or triggers the food material detection instruction, so that the camera module 130 protrudes out of the plane where the door 120 is located by a certain distance, and when the user closes the door 120 or triggers the food material detection completion instruction, the movable part retracts the camera module 130. The movable part can be linked with the door 120 in a mechanical connection mode or other modes, so that the door 120 triggers the control camera module of the movable part when being opened and closed. In some embodiments, the movable component may further include a camera protection cover, the protection cover is opened and the camera module is started after the camera module is ejected, and the protection cover is closed and the camera module is closed after the camera module is retracted, so that the camera module is protected on one hand, and power consumption is saved on the other hand.

It should be noted that the structure of the refrigerator shown in fig. 2a and 2b is only an embodiment, and the embodiment of the present application does not limit the size of the refrigerator, the number of door bodies (for example, a single door body, or multiple door bodies), and the like, for example, in some embodiments, a Radio Frequency Identification (RFID) reader/writer is disposed in the refrigerator, and can be used to read an RFID tag on a food packaging, so as to obtain information such as the type and the number of food materials. In other embodiments, the refrigerator further has a voice function, and can recognize input voice to acquire information such as the type and the number of food materials input by the user in a voice manner.

The refrigerator provided by the embodiment of the application comprises a controller (not shown in fig. 2a and 2 b), wherein the controller is coupled with the camera module (for example, connected through a circuit), and the controller can identify images collected by the camera module when a door body of the refrigerator is opened or an identification instruction is received, so as to obtain a category collective product of the stored food materials; the method comprises the steps of obtaining distribution conditions of food materials on each interlayer in a refrigerator body, achieving food material management functions of the refrigerator according to the obtained types and volumes of food materials to be placed and the distribution conditions of the food materials on each interlayer through recognition, carrying out nutrition analysis, and carrying out information pushing according to analysis results.

Further, the refrigerator may further include a memory 420, a communicator 430, a user input interface 440, a user output interface 450, a power supply 460, an image capture interface 470, and a display 480 in addition to the controller 410, some configuration blocks of the refrigerator being exemplarily shown in fig. 4.

The controller 410 includes a Random Access Memory (RAM) 411, a Read Only Memory (ROM) 412, a processor 413, a communication interface, and a communication bus. The controller 410 is used to control the operation of the above-described devices, as well as the communication cooperation between internal components, external and internal data processing functions.

In some embodiments of the present invention, the camera module may be a color camera, a depth camera, or a combination of both. The color camera may be a general color camera or a wide-angle color camera. The depth camera may be a binocular camera, may be a structured light camera, and may be a Time Of Flight (TOF) based camera.

It may be implemented that, when an interaction of a user pressing the key 444 or an interaction of a touch on the touch panel 442 is detected, the controller 410 may control the processor 413 to generate a signal corresponding to the detected interaction and transmit the signal to the display 480 so that the display 480 may display the corresponding content or screen.

In some embodiments, processor 413 may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), or a combination of a CPU and a GPU. The processor may further include a hardware chip. The hardware chip may be an Application-specific integrated Circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a Field-Programmable Gate Array (FPGA), General Array Logic (GAL), or any combination thereof.

And a memory 420 for storing various operation programs, data, and applications of driving and controlling under the control of the controller 410. The memory 420 may store various control signal commands input by a user. In some embodiments, a memory is coupled to the processor via a bus or other means and has stored therein at least one instruction, at least one program, set of codes, or set of instructions that is loaded and executed by the processor. In some embodiments, the Memory may be a Volatile Memory (Volatile Memory), a Non-Volatile Memory (Non-Volatile Memory), or a combination thereof. The volatile Memory may be a Random-Access Memory (RAM), such as a Static Random Access Memory (SRAM) or a Dynamic Random Access Memory (DRAM). The nonvolatile Memory may be a Read Only Memory (ROM), such as a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), and an Electrically Erasable Programmable Read Only Memory (EEPROM). The nonvolatile Memory may also be a Flash Memory (Flash Memory), a magnetic Memory such as a magnetic tape (magnetic tape), a Floppy Disk (Flash Disk), or a hard Disk. The non-volatile memory may also be an optical disc.

The communicator 430 may be a component for communicating with an external device or an external server according to various communication protocol types. For example, the refrigerator may transmit the content data to an external device connected via the communicator 430, or browse and download the content data from an external device connected via the communicator 430. The communicator 430 may include a network communication protocol module or a near field communication protocol module, such as an infrared signal interface 431, a radio frequency signal interface 432, a WIFI module 433, a bluetooth module 434, and a wired ethernet communication protocol module 435, so that the communicator 430 may implement communication of control signals and data signals with an external device or an external server according to control of the controller 410. For example: when the infrared signal interface is used, the infrared control signal sent by the user needs to be converted according to the infrared control protocol and then output to the controller 410. For example, in the rf signal interface, the command of the rf control signal mode input by the user needs to be converted and then output to the controller 410. For example, a control signal for controlling the refrigerator by the external device is received through the WIFI module 433, the bluetooth module 434, and the wired ethernet communication protocol module 435, and the control signal is processed and then output to the controller 410.

The user input interface 440 may include at least one of a microphone 441, a touch pad 442, a sensor 443, keys 444, etc., so that a user can input a user instruction for controlling the refrigerator to the refrigerator by voice, touch, gesture, press, etc.

The user output interface 450 controls the processor 413 through the controller 410 to execute corresponding program steps by outputting user instructions received by the user input interface 440 to the controller 410. Alternatively, the processor 413 may execute the corresponding program steps to control the display 480 to display a corresponding screen or output corresponding content through the user output interface. Here, the user output interface 450 may include an LED interface 451, a vibration interface 452 generating vibration, a sound output interface 453 outputting sound, and the like. For example, a display device in the external device may receive an output signal such as audio, video, or data from the user output interface 450, and display the output signal in the form of an image on the display device, in the form of audio at the sound output interface 453, or in the form of vibration at the vibration interface 452.

And the image acquisition interface 470 is used for performing signal connection between the camera module and the refrigerator. For example, the detection image captured by the camera module can be transmitted to the processor 413 in the controller 410 through the image capturing interface 470.

The display 480 is configured to receive the image signal input by the processor 413, and display video content, an image, and a menu control interface. The video content may be displayed from the video content processed by the processor 413 or from the video content input by the communicator 430 or the user input interface 440. The display 480 may also simultaneously display a user manipulation interface UI for controlling the refrigerator.

And, the display 480 may further include a display component for presenting a picture and a driving component for driving image display. Alternatively, a projection device and projection screen may be included, provided display 480 is a projection display.

And a power supply 460 for providing operation power support to the elements in the refrigerator under the control of the controller 410. In the form of a battery and associated control circuitry.

Fig. 5 is a block diagram illustrating an architectural configuration of an operating system in the memory 420. The operating system architecture comprises an application layer, a middleware layer and a kernel layer from top to bottom.

The application layer, the application programs built in the system and the non-system-level application programs belong to the application layer. Is responsible for direct interaction with the user. The application layer may include a plurality of applications such as a setup application, a post application, a media center application, and the like. These applications may be implemented as Web applications that execute based on a WebKit engine, and in particular may be developed and executed based on HTML5, Cascading Style Sheets (CSS), and JavaScript.

Here, HTML, which is called HyperText Markup Language (HyperText Markup Language), is a standard Markup Language for creating web pages, and describes the web pages by Markup tags, where the HTML tags are used to describe characters, graphics, animation, sound, tables, links, etc., and a browser reads an HTML document, interprets the content of the tags in the document, and displays the content in the form of web pages.

CSS, known as Cascading Style Sheets (Cascading Style Sheets), is a computer language used to represent the Style of HTML documents, and may be used to define Style structures, such as fonts, colors, locations, etc. The CSS style can be directly stored in the HTML webpage or a separate style file, so that the style in the webpage can be controlled.

JavaScript, a language applied to Web page programming, can be inserted into an HTML page and interpreted and executed by a browser. The interaction logic of the Web application is realized by JavaScript. The JavaScript can package a JavaScript extension interface through the browser to realize communication with the kernel layer.

The middleware layer may provide some standardized interfaces to support the operation of various environments and systems. For example, the middleware layer may be implemented as multimedia and hypermedia information coding experts group (MHEG) middleware related to data broadcasting, DLNA middleware which is middleware related to communication with an external device, middleware which provides a browser environment in which each application program in the display device operates, and the like.

The kernel layer provides core system services, such as: file management, memory management, process management, network management, system security authority management and the like. The kernel layer may be implemented as a kernel based on various operating systems, for example, a kernel based on the Linux operating system.

The kernel layer also provides communication between system software and hardware, and provides device driver services for various hardware, such as: provide display driver for the display, provide camera driver for the camera, provide button driver for the remote controller, provide wiFi driver for the WIFI module, provide audio driver for audio output interface, provide power management drive for Power Management (PM) module etc..

In some embodiments, the user may also input a user command on a Graphical User Interface (GUI) displayed on the display 480, and the controller 410 may receive the user-input command. Among these, "user interfaces" are media interfaces for interaction and information exchange between an application or operating system and a user, which enable the conversion between an internal form of information and a form acceptable to the user. A common presentation form of a user interface is a Graphical User Interface (GUI), which refers to a user interface related to computer operations that is displayed in a graphical manner. It may be an interface element such as an icon, window, control, etc. displayed in the display of the electronic device, where the control may include a visual interface element such as an icon, control, menu, tab, text box, dialog box, status bar, channel bar, Widget, etc.

As shown in fig. 6, a controller provided in an embodiment of the present application may be configured to perform the following steps:

step S601, obtaining stored food material information in storage equipment corresponding to a user and preference information of the user;

the storage device corresponding to the user may refer to the refrigerator defined in the above embodiment, or may refer to a storage facility corresponding to the user and used for storing various food materials, such as a locker, a storage room, and the like, and the user makes the storage device such as the refrigerator perform image analysis on the food material image by inputting the information on the type and weight of various food materials into the storage device such as the refrigerator, or by uploading the food material image to the storage device such as the refrigerator, so as to determine the information on the stored food materials.

The method for determining the information of the stored food materials by using the refrigerator may be that, when a user puts food materials into a freezing chamber or a refrigerating chamber of the refrigerator each time, a camera on a box body of the refrigerator is used for shooting a picture of the put-in food materials, the type of the food materials is determined by analyzing the picture of the food materials, the weight of the food materials is determined by a weight sensor built in the refrigerator, and the type and the weight of the put-in food materials and the time of putting the food materials are recorded in the information of the stored food materials, or the information of the type and the weight of the food materials and the like are manually input into the information of the stored food materials by the user, and the information: the method for acquiring the information of the stored food materials is not limited to the above parameters, and the method is known by those skilled in the art and will not be described herein.

The preference information of the user is mainly used for quantifying the preference condition of the user, for example, the preference condition of the user is the preferences of weight loss, food and the like, and the preference information of the user can be used for making corresponding recipe recommendation for the user according to the requirements of the user.

The preference information of the user can be determined by actively inputting by the user or by analyzing the behavior characteristics of the user, as shown in fig. 7, the interface diagram is an interface diagram of actively inputting preference requirements on a refrigerator or an intelligent device, the user can check various preference requirements on the user interface, in addition, the manner of checking various preference requirements on the user interface can be oriented to one family or a plurality of family members in one family, when facing a plurality of family members, the refrigerator or the intelligent device can respectively establish and store preference information corresponding to the user for each family member, when a recipe recommendation needs to be performed, a recommender selects at least one family member to be recommended by the recipe at the user interface, the refrigerator or the intelligent device can perform the recipe recommendation to the user according to the preference combination of the users, for example, the refrigerator is used for carrying out preference requirement input for the following three family members: when a family member A, a family member B and a family member C need to recommend recipes, a recommended user who uses the refrigerator currently selects the family member for which the recommendation is directed, and the refrigerator recommends recipes according to the preference information mean value of each family member.

Alternatively, the preference information of the user may also be determined based on the daily behavior characteristics of the user, such as collecting daily conversation contents of the user to determine keywords containing the preference information of the user, and determining the preference information of the user by using at least one keyword, for example, if it is collected by an intelligent device in an intelligent home, and the problem of "how to quickly lose weight" that is proposed in the recent interactive conversation between the user and the intelligent device is more, it is determined that the preference information of the user is "lose weight".

In addition, the preference information of the user may further include food materials disliked by the user, allergic food materials of the user, and health information of the user, wherein the health information of the user may include at least one of: physical constitution and adverse symptoms. When determining the allergic food materials or the disliked food materials, the method can display various food materials for the user to select, the user can also customize the disliked food materials and the allergic food materials, and when recommending a recipe to the user and determining that the allergic food materials or the disliked food materials exist in the recipe, the recipe is selected not to be recommended to the user.

Specifically, each user's preference information further includes at least one taste style parameter, for example, the user's preferred taste may include: the dish tastes like hot and salty, wherein the hot degree can be divided into: the spicy grades such as no spicy, slight spicy, middle spicy, heavy spicy, extremely spicy and the like, and the preferred dish style of the user can be as follows: northeast dish, Sichuan dish, Guangdong dish and other cuisine, and the style parameters can also include: and the parameters of the heat of the dish, the nutrition degree of the dish and the like, wherein the taste style parameter is quantitative information for describing the relationship between each preference information and the taste style. For example, each piece of quantitative information represents preference information of the preference information on each taste style, the quantitative information corresponding to the taste style parameters can be labeled under the preference information through a manual labeling method, for example, the pungency in the taste of the dish can be judged by Scoville (Scoville Units), the judgment method is that the hot pepper juice is diluted to N times by sugar water, the pungency can not be judged by taking the hot pepper juice as a standard, wherein N is a High Ville value, 0 is determined as no pungency, 0-500 is determined as slight pungency, and the like, and the pungency corresponding to each recipe is labeled.

Step S602, determining a food material recommendation parameter of each recipe in a recommended recipe set by using the stored food material information and the required food material information of each recipe in the recommended recipe set, and determining a preference recommendation parameter of each recipe by using the preference information and the recipe style information of each recipe in the recommended recipe set;

the recipe defined in the embodiment of the present invention may be a meat dish making method, a vegetable dish making method, a soup making method, a fruit intake amount, and the like, a recommended recipe set is stored in advance in a refrigerator, or the refrigerator downloads and updates the recommended recipe set in real time from a cloud server, when a user needs to recommend a recipe, the user selects a recipe from which recipe set, the refrigerator recommends based on a recipe type selected by the user, each recipe includes required food material information, the required food material information is a ratio of a required food material and a food material in the recipe when making a dish corresponding to the recipe, each recipe further includes recipe style information, the recipe style information is information of a dish system, a taste style, a heat amount, and the like corresponding to the recipe, for example, the required food material including "three delicacies" and "braised beef in brown sauce" exists in the recommended recipe set, The taste style and the specific way of doing the same are shown in fig. 8, which is a schematic presentation interface of each recipe.

Determining a food material recommendation parameter of each recipe by using the stored food material information and the required food material information of each recipe in the recommended recipe set, wherein the food material recommendation parameter represents that a score of a food material for making each recipe in the recommended recipe set can be obtained according to the stored food material information of the user, the higher the food material recommendation parameter represents that the probability of making the recipe by the user is higher, the preference recommendation parameter of each recipe is determined by using the preference information and the recipe style information in each recipe in the recommended recipe set, the preference recommendation parameter represents that the recipe in the recommended recipe set is matched with the user according to the taste style information under the preference information of the user, the higher the preference recommendation parameter represents that the user prefers the recipe, for example, the name, the weight and the preference of the food material currently owned by the user are displayed on a display interface of a refrigerator, and the food material recommendation parameter is determined according to the name of the food material, The weight and the preference determine preference recommendation parameters of each recipe, and the recipe is recommended to the user according to the ranking of the preference recommendation parameters, as shown in fig. 9, which is a schematic diagram of recommending recipes according to the user storage food material information and the user preference information.

Step S603, determining the recipe recommendation parameters according to the food material recommendation parameters and the preference recommendation parameters of each recipe;

when the recipe recommendation parameters are determined, the recipe recommendation parameters need to be determined according to the weights of the preference recommendation parameters and the weights of the food material recommendation parameters, specific weight distribution can be freely set in a refrigerator or an intelligent device by a user, so that the user can select a recommended recipe style biased towards the existing food materials or the preferences of the user, for example, the user is more inclined to make a recipe corresponding to the owned food materials (in the refrigerator), a function option biased towards storing food material information can be selected on the refrigerator, after the option is selected, the weight of the food material recommendation parameters is expanded to a preset value when the refrigerator carries out recipe recommendation, so that the user can obtain the recipe biased towards the owned food materials (in the refrigerator), and the expanded preset value can be freely set by the user or can be a fixed value, and is not limited here.

Step S604, recommending at least one recipe in the recommended recipe set to the user according to the recipe recommendation parameters.

And determining a recipe recommendation parameter of each recipe in the recommended recipe set, and then selecting a certain number of recipes from the recommended recipe set to recommend to the user. For example, a plurality of recipes with the highest recipe recommendation parameters are selected from the recommended recipe set and recommended to the user, so that the user can select and make recipes according to the plurality of recipes, and recipes can also be recommended to the user according to the current time period, for example, recipes in a breakfast recipe set are recommended to the user in a breakfast time period, and the like, as shown in fig. 10, a schematic diagram of determining recommended recipes according to the current time period is shown.

Optionally, when the user determines that the recipe needs to be recommended, the number of people having meals may be first input, and the number of recipes recommended to the user and the specific matching situation of the recipes are determined according to the number of people having meals, for example, when the number of people having meals is 1, the number of recipes recommended per meal is 2, when the number of people having meals is 2 to 3, the number of recipes recommended per meal is 4, when the number of people having meals is 4 or more, the number of recipes recommended per meal is 6, furthermore, when a recipe is recommended to the user, a recipe recommended repeatedly cannot appear in one day or one week, and the recipe recommended per meal needs to conform to the principle of matching meat and vegetables, and whether a recipe containing soup can be selected by the user, and optionally, a soup is recommended in lunch and dinner by default.

After recommending a plurality of recipes to a user, the user can score each recommended recipe, if the score is higher than a preset threshold value, the recommendation probability of recommending the user next time by the recipe is increased, and if the score is lower than the preset threshold value, the recommendation probability of recommending the user next time by the recipe is reduced, and the recipe is further optimized. And if the user collects the recipe in advance in the previous recipe recommendation, the recipe in the collection is preferentially recommended to the user when the recipe recommendation is performed, in addition, parameters such as calorie collocation, salt intake, oil intake, protein intake and the like of the recipe can be considered when the food material recommendation is performed, the calorie consumption of the user is determined by considering the physical labor type of a recommended person, and the recipe recommendation mode is determined by comprehensively analyzing according to the parameters. As shown in fig. 11, when a user recommends a recipe, the number of people to eat is first input, the refrigerator recommends at least one recipe or recipe combination to the user according to the number of people to eat, and after the user prepares dishes corresponding to the recipe, the user can score and evaluate the recipe or recipe combination to improve the accuracy of the recipe recommendation.

As an optional implementation manner, the stored food material information and the required food material information of each recipe in the recipe set are utilized to determine the food material recommendation parameter of each recipe.

Multiplying the same food material parameters in the required food material information and the stored food material information, adding the product results of the food materials, and determining the food material recommendation parameters of the recipes.

The parameter corresponding to each food material is the ratio of the food material in the recipe, the ratio is between 0 and 1, the sum of the ratios of all the food materials in each recipe is equal to 1, the larger the value is, the larger the ratio of the food material in the recipe is, the ratio in the required food material information can be marked in the required food material information by a manual method, as shown in table 1, the parameter is a quantitative table of the required food material information, and for example, a recipe 1 "three delicacies" and a recipe 2 "braised beef in brown sauce" in the recommended recipe set are used as examples.

TABLE 1

	Three delicacies of the earth	Braised beef in soy sauce
			Beef	0	1
Eggplant	0.5	0
			Potato	0.3	0
Green pepper	0.2	0

The stored food material information is used for describing food material information in a storage device corresponding to a user, each quantitative value represents the condition that the storage device corresponding to the user owns the food material, the food material information is between 0 and 1, 1 represents that the user has the food material, 0 represents that the user does not have the food material, and the food material information can be obtained by sensing through a sensor in an intelligent device (such as a refrigerator defined by the above embodiment). As shown in table 2, a quantization table of the multi-user stored food material information corresponding to the food materials in table 1 is shown.

TABLE 2

	User A	User B
			Beef	0	1
Eggplant	1	0
			Potato	1	0
Green pepper	0	1

Multiplying the same food material parameters in the table 1 and the table 2, and adding the product results of the food materials to determine the food material recommended parameters of the recipes, for example, the food material recommended parameter of the food material with the freshness of the food material with the sourdough of the user A is (0.5+0.3) ═ 0.8, the food material recommended parameter of the food material with the braised beef in soy sauce is 0, the food material recommended parameter of the food material with the freshness of the food material with the sourdough of the user B is 0.2, and the food material recommended parameter of the.

As an optional implementation manner, the food material parameters in the stored food material information may be obtained as follows:

in the storage device corresponding to the user, the weight and storage time of the food materials also affect the information of the stored food materials.

In the first mode, the food material parameter is determined by the product of the food material freshness and the food material type of the food material, and when the food material freshness is determined to be low, the quantization size coefficient in the stored food material information is also reduced.

The method comprises the steps of obtaining the storage time of each food material in storage equipment corresponding to a user, marking the food material freshness of the food material as a first preset value when the storage time of the food material is larger than the quality guarantee time, and otherwise, determining the food material freshness according to the ratio of the storage time to the quality guarantee time.

Specifically, different types of food materials have different storage and quality guarantee periods, and the corresponding guarantee period of the food material is firstly determined according to the type of the food materialThe quality time, the time for putting the food material into the storage device is determined, whether the food material exceeds the quality guarantee time is determined according to the time for putting the food material into the storage device, if the food material exceeds the quality guarantee time, the food material freshness of the food material is marked as a first preset value, in the embodiment, the food freshness may be marked as 0, optionally, the food material may also be deleted from the stored food material information when the food material exceeds the shelf life, if the food material does not exceed the shelf life, determining the freshness of the food material according to the ratio of the storage time to the quality guarantee time, for example, the food material put into the storage facility is determined to be green pepper, the green pepper is determined to be a vegetable species, the shelf life of the vegetable is generally 7 days, and the food material storage time is 6 days away from the shelf life, so that the freshness of the green pepper is the same.

And determining the food material parameters by utilizing the product of the weight of the food material and the food material type, wherein when the weight of the food material is determined to be lighter, the quantization size coefficient in the stored food material information is also reduced.

The method comprises the steps of obtaining the weight of each food material in storage equipment corresponding to a user, marking the weight parameter of the food material as a second preset value when the weight of the food material is larger than a preset weight threshold corresponding to the food material, and otherwise, determining the weight parameter of the food material according to the ratio of the weight of the food material to the preset weight threshold.

Specifically, different types of food materials have different weight thresholds, when the weight of the food material is greater than the weight threshold, it is determined that the storage device has enough food material, and the food material weight parameter of the food material is marked as a second preset value, in this embodiment, the food material weight parameter may be marked as 1, and when the weight of the food material is not greater than the weight threshold, according to a ratio of the weight of the food material to the preset weight threshold, the food material weight parameter is determined, for example, it is determined that the food material put into the storage device is beef, it is determined that the beef is meat, the weight threshold is 1kg, and the weight put into the storage device is 500g, then the food material weight parameter is determinedParameter is

As an optional implementation manner, the preference recommendation parameters of the recipes are determined by using the preference information and the recipe style information in the recipes in the recommended recipe set.

Specifically, the recipe style information in each recipe in the recommended recipe set is multiplied by the taste style parameters of the same category in the preference information, and the product results of the taste style parameters are added to determine the preference recommendation parameters of each recipe.

The weight of the taste style of each recipe is different, the corresponding parameter of each recipe is the weight of the taste style of the recipe, the weight is between 0 and 1, the larger the value is, the more the recipe is biased to the taste style, the weight of the taste style of the recipe can be marked in the recipe style information by a manual method, as shown in table 3, the weight is a quantitative table of the recipe style information, for example, the recipe 1 'three delicacies' and the recipe 2 'beef braised in soy sauce' in the recipe set.

TABLE 3

	Three delicacies of the earth	Braised beef in soy sauce
			Salty fresh food	0.85	0
Spicy food	0	0.70
			Northeast China vegetable	1	0
Sichuan dish	0	1
			Heat quantity	0.45	0.88

The preference of each user is weighted differently, the weight is between 0 and 1, the higher the value is, the more the user is biased to the preference, and the preference of the user can be determined by the active input of the user or by analyzing the behavior characteristics of the user. As shown in table 4, a user preference quantization table is shown, and a weight loss and a food are exemplified by the preference information, where the user a preference information is weight loss of 1, the food is 0, the user B preference information is weight loss of 0, and the food is 1.

TABLE 4

	User A	User B
			Weight loss	1	0
Food	0	1

There are a plurality of taste style weights under each preference information, the weight is between 0 and 1, the larger the value is, the more the preference is to the taste style, the taste style weight can be labeled by a manual method, or labeled by analyzing the behavior characteristics, as shown in table 5, which is a table of the taste style information under each preference.

TABLE 5

	Weight loss	Food
			Salty fresh food	0.6	0.8
Spicy food	0.3	0.8
			Northeast China vegetable	0.6	0.6
Sichuan dish	0.3	0.8
			Heat quantity	0.1	0.5

Using table 4 and the taste style weights corresponding to the preference information of the users determined in table 5, multiplying the taste style weights in each recipe by the taste style weights preferred by the users, adding the product of the taste style products, and determining the preference recommendation parameters of each recipe, such as the three-delicacy recommendation parameter of user a is (0.6 × 0.85+1 × 0.6+0.45 × 0.1) to 1.16, the braised beef preference recommendation parameter of user B is (0.3 × 0.7+0.3 + 1+0.88 × 0.1) to 0.598, and the three-delicacy recommendation parameter of user B is (0.8 × 0.85+ 1+ 0.6+ 0.45) × 1.51 to recommended braised beef preference parameter of user B is (0.8 × 0.7+0.8 +0.88 + 0.5).

As an optional implementation, at least one recipe in the recommended recipe set is recommended to the user according to the recipe recommendation parameter.

And sequencing the recipes in the recommended recipe set according to the recipe recommendation parameters, and recommending the first N recipes to the user according to the recipe recommendation parameter sequence.

For example, the recommended parameters of the food recipe of the user a in the three delicacies of the terrestrial digital sea are 1.16+ 0.8-1.96, and the recommended parameters of the food recipe of the beef braised in soy sauce are 0.598+ 0.6-1.198, so that the food recipe corresponding to the three delicacies of the terrestrial digital sea is recommended to the user a;

the recommended parameters of the Di-Sanxian recipe of the user B are 1.51+ 0.2-1.71, and the recommended parameters of the beef braised in soy sauce recipe are 1.8+ 1-2.8, so that the recipe corresponding to the beef braised in soy sauce is recommended to the user B.

By utilizing the refrigerator provided by the invention, the recipes of different users are recommended in an individualized manner on the basis of comprehensive analysis of information of various dimensions such as user characteristics, recipe styles, user food materials and the like, so that the requirement of rationality of the recipe preference of the users can be met, and the requirement of recipe making of the users can also be met.

The recipe recommendation method provided by the embodiment of the present invention is based on the same inventive concept as the method executed by the refrigerator controller configuration in the above embodiment, and various embodiments provided by the above embodiment can be applied to the present embodiment, and will not be repeated here.

The embodiment of the present invention further provides a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements any of the recipe recommendation methods provided in the above embodiments.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

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