CN112100484A - Menu recommendation method and system and intelligent refrigerator - Google Patents
Menu recommendation method and system and intelligent refrigerator Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000010411 cooking Methods 0.000 claims abstract description 136
- 238000012163 sequencing technique Methods 0.000 claims abstract description 34
- 235000013305 food Nutrition 0.000 claims description 104
- 239000000463 material Substances 0.000 claims description 59
- 239000002184 metal Substances 0.000 description 7
- 235000015277 pork Nutrition 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 235000013372 meat Nutrition 0.000 description 4
- 235000002597 Solanum melongena Nutrition 0.000 description 2
- 244000061458 Solanum melongena Species 0.000 description 2
- 235000015067 sauces Nutrition 0.000 description 2
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Abstract
The invention provides a menu recommendation method, a system and an intelligent refrigerator, wherein the menu recommendation method comprises the following steps: when a recommendation instruction input by a user is received, judging whether the intelligent refrigerator is logged in the cloud server or not, and when the intelligent refrigerator is logged in the cloud server, judging whether the intelligent refrigerator is bound with at least one intelligent cooking device or not; when the intelligent refrigerator is bound with first intelligent cooking equipment in at least one type of intelligent cooking equipment, at least one first menu is obtained from a cloud server, and the first menu comprises equipment identification of the first intelligent cooking equipment; sequencing at least one first menu; displaying the at least one first menu after sequencing so that the user can view the at least one first menu after sequencing; receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook; and sending the target menu to the intelligent cooking equipment so that the intelligent cooking equipment can prepare the dishes according to the target menu. The scheme of the invention can improve the user experience of the menu recommendation function.
Description
Technical Field
The invention relates to the technical field of household appliances, in particular to a menu recommendation method and system and an intelligent refrigerator.
Background
With continuous progress of scientific technology and continuous improvement of the living standard of people, the intelligent refrigerator has more and more extended functions, and some intelligent refrigerators in the current market can display a menu on a display module of the intelligent refrigerator, so that a user can make foods meeting the taste according to a recommended menu.
However, the recipe recommending mode generally recommends all recipes to the user for selection according to which recipes are available on the cloud platform, and cannot recommend the recipes according to the food materials or cooking devices currently owned by the user, so that the phenomenon that the recipes are recommended to the user but cannot be cooked due to insufficient food materials or lack of cooking devices occurs, and the user experience of the recipe recommending function is poor.
The patent application with application number CN201910876906.2 provides a menu recommendation method and device, the method comprises: the cloud service control platform acquires target parameters aiming at the intelligent cooking equipment, wherein the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment is communicated with the cloud service control platform in advance; the cloud service control platform determines a target menu matched with the target parameters from a predetermined menu database according to the target parameters; the cloud service control platform recommends the target menu to the intelligent cooking equipment. According to the invention, the menu can be recommended only when the user owns the intelligent cooking equipment, and the user experience is still poor.
Disclosure of Invention
The embodiment of the invention provides a menu recommendation method and system and an intelligent refrigerator, which can improve the user experience of a menu recommendation function.
In a first aspect, the embodiment of the invention provides a menu recommendation method, which is applied to an intelligent refrigerator;
when a recommendation instruction input by a user is received, judging whether the intelligent refrigerator logs in a cloud server or not, wherein at least one menu information is stored in the cloud server, and each menu information comprises a cooking method of the menu, food material information and an equipment identifier of intelligent cooking equipment needing to be used;
when the intelligent refrigerator logs in the cloud server, judging whether the intelligent refrigerator is bound with at least one intelligent cooking device;
when the intelligent refrigerator is bound with a first intelligent cooking device of at least one type of intelligent cooking device, at least one first menu is obtained from the cloud server, and the first menu comprises a device identifier of the first intelligent cooking device;
sequencing at least one first menu;
displaying the at least one first ordered menu for a user to view the at least one first ordered menu;
receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook;
and sending the target menu to the intelligent cooking equipment so that the intelligent cooking equipment can prepare the dishes according to the target menu.
Preferably, the first and second electrodes are formed of a metal,
when the intelligent refrigerator does not log in the cloud server, acquiring at least one second menu currently stored by the cloud server from the cloud server and sequencing the at least one second menu;
and generating a piece of prompt information for prompting the user to log in, and displaying the at least one second menu and the prompt information after sequencing.
Preferably, the first and second electrodes are formed of a metal,
when the intelligent refrigerator is not bound with at least one intelligent cooking device, acquiring at least one second menu from the cloud server and sequencing the at least one second menu;
and generating purchase information representing a purchase link containing at least one intelligent cooking device, and displaying the at least one second menu and the purchase information after the sequencing.
Preferably, the first and second electrodes are formed of a metal,
the ordering at least one first recipe comprises:
acquiring at least one food image in the intelligent refrigerator, identifying the at least one food image, and judging whether the at least one food image comprises at least one target food material information;
when the food image comprises at least one target food material information, the order of the menu comprising the at least one target food material information and the equipment identifier of the first intelligent cooking equipment is moved forward in the at least one first menu.
Preferably, the first and second electrodes are formed of a metal,
when the food image does not comprise at least one piece of target food material information, the order of the menu containing the equipment identification is moved forward in the at least one first menu.
In a second aspect, an embodiment of the present invention provides an intelligent refrigerator based on the recipe recommendation method provided in any one of the first aspects, including:
the device comprises a processing unit, a display unit and a sending unit;
the processing unit is used for judging whether the intelligent refrigerator logs in a cloud server or not when a recommendation instruction input by a user is received, wherein at least one menu information is stored in the cloud server, and each menu information comprises a cooking method of the menu, food material information and an equipment identifier of intelligent cooking equipment needing to be used;
when the intelligent refrigerator logs in the cloud server, judging whether the intelligent refrigerator is bound with at least one intelligent cooking device;
when the intelligent refrigerator is bound with a first intelligent cooking device of at least one type of intelligent cooking device, at least one first menu is obtained from the cloud server, and the first menu comprises a device identifier of the first intelligent cooking device;
sequencing at least one first menu;
the display unit is used for displaying the at least one first menu after sequencing;
receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook;
the sending unit is used for sending the target menu to the intelligent cooking equipment so that the intelligent cooking equipment can prepare dishes according to the target menu.
Preferably, the first and second electrodes are formed of a metal,
the processing unit is used for acquiring at least one second menu currently stored by the cloud server from the cloud server and sequencing the at least one second menu when the intelligent refrigerator is not logged in the cloud server;
and generating a prompt message for prompting the user to log in, and displaying the at least one second menu and the prompt message so that the user can view the at least one second menu and the prompt message in sequence.
Preferably, the first and second electrodes are formed of a metal,
the processing unit is used for acquiring the at least one second menu from the cloud server and sequencing the at least one second menu when the intelligent refrigerator is not bound with the at least one intelligent cooking device;
and generating purchase information representing a purchase link containing at least one intelligent cooking device, and displaying the at least one second menu and the purchase information after the sequencing.
Preferably, the first and second electrodes are formed of a metal,
when the processing unit executes the sequencing of the at least one first menu, the processing unit specifically executes:
acquiring at least one food image in the intelligent refrigerator, identifying the at least one food image, and judging whether the at least one food image comprises at least one target food material information;
when the food image comprises at least one target food material information, advancing the sequence of a menu comprising the at least one target food material information and the equipment identifier of the first intelligent cooking equipment in the at least one first menu;
when the food image does not comprise at least one piece of target food material information, the order of the menu containing the equipment identification is moved forward in the at least one first menu.
In a third aspect, an embodiment of the present invention provides a recipe recommendation system, including: the mobile terminal, at least one intelligent cooking device and the intelligent refrigerator provided by any one of the second aspect;
the mobile terminal is used for logging the intelligent refrigerator in the cloud server; binding at least one intelligent cooking device with the intelligent refrigerator;
the intelligent cooking equipment is used for receiving a target menu and cooking and preparing dishes according to the target menu.
According to the technical scheme, the cloud server stores a plurality of menu information, and each menu information comprises the cooking method of the menu, the food material information of food materials required to be used and the equipment identification of the intelligent cooking equipment required to be used. When receiving user input's recommendation instruction, judge whether intelligent refrigerator has logged in at the high in the clouds server, if has logged in, then judge whether intelligent refrigerator binds with an intelligent cooking equipment, if bind with a first intelligent cooking equipment, then obtain the first menu that includes the equipment sign of first intelligent cooking equipment of at least one inclusion in the high in the clouds server, owing to the equipment sign that includes first intelligent cooking equipment, consequently these first menus can both cook. And sequencing and displaying the first menu, so that the user can see the sequenced first menu. Receiving a selection instruction of a target menu containing dishes to be cooked by a user, and sending the target menu to the intelligent cooking equipment, wherein the menu is prepared by the intelligent cooking equipment, and then the user can cook the target menu on the intelligent cooking equipment. Therefore, the intelligent menu recommendation can be carried out according to the login condition of the intelligent refrigerator on the cloud server and whether the intelligent cooking equipment is bound or not, the obtained menus are sequenced, the menus recommended to the user can be made by the intelligent cooking equipment, and therefore the user experience of the menu recommendation function is improved.
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 a menu recommendation method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an intelligent refrigerator according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a menu recommendation system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of another recipe recommendation system 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 described above, the intelligent refrigerators have more and more extended functions, and some of the intelligent refrigerators in the current market can display recipes on their own display modules, so that users can make foods according to recommended recipes.
However, the recipe recommending mode generally recommends all recipes to the user for selection according to which recipes are available on the cloud platform, and cannot recommend the recipes according to the food materials or cooking devices currently owned by the user, so that the phenomenon that the recipes are recommended to the user but cannot be cooked due to insufficient food materials or lack of cooking devices occurs, and the user experience of the recipe recommending function is poor.
The following describes an intelligent device control panel and an intelligent device control system according to embodiments of the present invention in detail with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a menu recommendation method, which includes the following steps:
step 101: when a recommendation instruction input by a user is received, judging whether the intelligent refrigerator logs in a cloud server or not, wherein at least one menu information is stored in the cloud server, and each menu information comprises a cooking method of the menu, food material information and an equipment identifier of intelligent cooking equipment needing to be used.
Step 102: when the intelligent refrigerator is logged in the cloud server, whether the intelligent refrigerator is bound with at least one intelligent cooking device is judged.
Step 103: when the intelligent refrigerator is bound with at least one type of first intelligent cooking equipment in the intelligent cooking equipment, at least one first menu is obtained from the cloud server, and the first menu comprises equipment identification of the first intelligent cooking equipment.
Step 104: and sequencing at least one first menu, and displaying the sequenced at least one first menu so that the user can view the sequenced at least one first menu.
Step 105: receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook.
Step 106: and sending the target menu to the intelligent cooking equipment so that the intelligent cooking equipment can prepare the dishes according to the target menu.
Specifically, a plurality of menu information is stored in the cloud server, and each menu information includes a cooking method of the menu, food material information of food materials to be used, and an equipment identifier of intelligent cooking equipment to be used. When receiving user input's recommendation instruction, judge whether intelligent refrigerator has logged in at the high in the clouds server, if has logged in, then judge whether intelligent refrigerator binds with an intelligent cooking equipment, if bind with a first intelligent cooking equipment, then obtain the first menu that includes the equipment sign of first intelligent cooking equipment of at least one inclusion in the high in the clouds server, owing to the equipment sign that includes first intelligent cooking equipment, consequently these first menus can both cook. And sequencing and displaying the first menu, so that the user can see the sequenced first menu. After the user selects the dishes to be cooked, a selection instruction of a target menu containing the dishes to be cooked by the user is received, the target menu is sent to the intelligent cooking equipment, the intelligent cooking equipment performs cooking preparation, and then the user can perform cooking of the target menu on the intelligent cooking equipment. Therefore, the scheme provided by the invention can be used for intelligently recommending the menu and sequencing the acquired menus according to the login condition of the intelligent refrigerator on the cloud server and whether the intelligent cooking equipment is bound, so that the menus recommended to the user can be made by the intelligent cooking equipment, and the user experience of the menu recommendation function is improved.
In an embodiment of the present invention, when the intelligent refrigerator does not log in the cloud server, at least one second menu currently stored by the cloud server is obtained from the cloud server and is sorted;
and generating a piece of prompt information for prompting the user to log in, and displaying the at least one second menu and the prompt information after sequencing.
Particularly, if the intelligent refrigerator does not log in the cloud server, all the menus stored in the cloud server are directly acquired, the user can enter a menu detail interface, basic information such as food materials required by the menus, the using amount of the food materials and manufacturing steps can be checked, and in order to enable the user to experience a menu recommendation function with a more complete function on the intelligent refrigerator, when the user checks the menus, prompt information for reminding the user to log in can be displayed through a pop-up window, and the user is prompted to log in the intelligent refrigerator on the cloud server.
In an embodiment of the present invention, when the intelligent refrigerator is not bound to at least one of the intelligent cooking devices, the at least one second recipe is obtained from the cloud server and sorted;
and generating purchase information representing a purchase link containing at least one intelligent cooking device, and displaying the at least one second menu and the purchase information after the sequencing.
Specifically, if the intelligent refrigerator logs in the cloud server but is not bound with any intelligent cooking device, the intelligent refrigerator acquires all recipes stored in the cloud server, and similarly, the user can enter a recipe detail interface to check basic information such as food materials, consumption of the food materials and making steps required by the recipes, and when the user checks the recipes, a purchase link of the intelligent cooking device can be provided for the user, for example, the purchase link of the intelligent cooking device supporting the recipe selected by the user can be provided, and the user clicks the purchase link on the intelligent refrigerator to enter a purchase flow of the corresponding intelligent cooking device.
In an embodiment of the present invention, the sorting the at least one first menu includes:
acquiring at least one food image in the intelligent refrigerator, identifying the at least one food image, and judging whether the at least one food image comprises at least one target food material information;
when the food image comprises at least one target food material information, the order of the menu comprising the at least one target food material information and the equipment identifier of the first intelligent cooking equipment is moved forward in the at least one first menu.
Specifically, in order to enable a user to obtain more intelligent menu recommendation, the food material information of food currently stored in the intelligent refrigerator is obtained by arranging a plurality of cameras in the intelligent refrigerator, and the menu recommendation is carried out more intelligently through the food material information. A camera inside the intelligent refrigerator shoots a plurality of food images, then the food images are analyzed, and whether at least one corresponding target food material information exists in the food images or not is judged. Before that, the intelligent refrigerator acquires all first recipes comprising the first intelligent cooking equipment from the cloud server, and sorts the first recipes according to the target food material information. If at least one target food material information exists, the order of the menu containing the target food material information in the first menu is advanced, so that the target food material information is preferentially displayed to the user. For example, the target food material information is pork, and the order of the recipes including pork in the first recipe is advanced. In addition, the recipes can be sorted again by the times of being acquired by other intelligent refrigerators in the cloud server, for example, in the recipes with the food materials including pork, the number of times of being acquired of the braised pork is the largest, so that the braised pork is sorted to the forefront of the first recipe and recommended to the user for the convenience of the user to select at the first time, and the recipe recommending function is more intelligent.
In an embodiment of the present invention, when at least one type of target food material information is not included in the food image, the order of the recipes including the device identifier is moved forward in the at least one first recipe.
Specifically, when no food material information is found in the intelligent refrigerator after at least one food image is analyzed, the food materials are sorted according to the order of the acquired times of all recipes in the cloud server, for example, under the condition that no food material information exists in the intelligent refrigerator, the recipe with the most acquired times is the recipe with the braised pork in brown sauce in the cloud server, and then the recipe with the braised pork in brown sauce is displayed at the top of the recipe list.
In another embodiment of the present invention, each time the intelligent refrigerator acquires a menu from the cloud server, the acquired menu may be sorted according to the following three conditions:
case 1: when no food information exists in the intelligent refrigerator, the menus are sorted according to the total acquisition times of the menus in the cloud server, and the menus with the large acquisition times are arranged in the front of a menu list. As described above, if the recipe for the red-cooked meat is acquired the most times, the recipe for the red-cooked meat is first at the top of the recipe list.
Case 2: when food information exists in the intelligent refrigerator, if the cloud server does not contain the menu of the food information, the menu is sorted according to the total acquisition times of the menus in the cloud server as in the case 1, and the menus with the large acquisition times are arranged at the top of the menu list. For example, the food information in the intelligent refrigerator is eggplants, but there is no recipe related to the food information of the eggplants in the cloud server, and at this time, the number of times of acquiring the recipe of the red-cooked meat is the largest, so that the recipe of the red-cooked meat is displayed at the top of the recipe list.
Case 3: when food materials exist in the intelligent refrigerator, and at least one menu containing the food information exists in the cloud server, the menus are arranged at the forefront of a menu list to be displayed, and are reduced to a user, so that the user can select the menus conveniently at the first time. Such as: the pig trotters are arranged in the refrigerator, the cloud management platform is provided with menus related to the pig trotters, and the related menus are arranged at the top; and if a plurality of menus are related to the refrigerator food materials, sequencing the menus in sequence according to the obtained total times.
As shown in fig. 2, an embodiment of the present invention provides an intelligent refrigerator, which is characterized by including:
a processing unit 201, a display unit 202, a transmitting unit 203;
the processing unit 201 is configured to, when a recommendation instruction input by a user is received, determine whether the intelligent refrigerator logs in a cloud server, where at least one recipe information is stored in the cloud server, and each recipe information includes a cooking method of the recipe, food material information, and an equipment identifier of an intelligent cooking equipment that needs to be used;
when the intelligent refrigerator logs in the cloud server, judging whether the intelligent refrigerator is bound with at least one intelligent cooking device;
when the intelligent refrigerator is bound with a first intelligent cooking device of at least one type of intelligent cooking device, at least one first menu is obtained from the cloud server, and the first menu comprises a device identifier of the first intelligent cooking device;
sequencing at least one first menu;
the display unit 202 is configured to display the sorted at least one first menu;
receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook;
the sending unit 203 is configured to send the target recipe to the intelligent cooking device, so that the intelligent cooking device performs cooking preparation on dishes according to the target recipe.
In an embodiment of the present invention, the processing unit 201 is configured to, when the intelligent refrigerator is not logged in the cloud server, obtain at least one second menu currently stored by the cloud server from the cloud server and sort the at least one second menu;
and generating a prompt message for prompting the user to log in, and displaying the at least one second menu and the prompt message so that the user can view the at least one second menu and the prompt message in sequence.
In an embodiment of the present invention, the processing unit 201 is configured to, when the intelligent refrigerator is not bound to at least one of the intelligent cooking devices, obtain the at least one second recipe from the cloud server and sort the at least one second recipe;
and generating purchase information representing a purchase link containing at least one intelligent cooking device, and displaying the at least one second menu and the purchase information after the sequencing.
In an embodiment of the present invention, when the processing unit 201 performs the sorting of the at least one first menu, specifically perform:
acquiring at least one food image in the intelligent refrigerator, identifying the at least one food image, and judging whether the at least one food image comprises at least one target food material information;
when the food image comprises at least one target food material information, advancing the sequence of a menu comprising the at least one target food material information and the equipment identifier of the first intelligent cooking equipment in the at least one first menu;
when the food image does not comprise at least one piece of target food material information, the order of the menu containing the equipment identification is moved forward in the at least one first menu.
It can be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation to the intelligent refrigerator. In other embodiments of the invention, the intelligent refrigerator 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.
Because the information interaction, execution process, and other contents between the units in the device are based on the same concept as the method embodiment of the present invention, specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
As shown in fig. 3, an embodiment of the present invention provides a menu recommendation system, which includes a mobile terminal 301, at least one intelligent cooking device 302, and an intelligent refrigerator 303 according to any of the above embodiments;
the mobile terminal 301 is configured to log in the intelligent refrigerator on the cloud server; binding at least one intelligent cooking device with the intelligent refrigerator;
the intelligent cooking device 302 is configured to receive a target recipe and prepare dishes according to the target recipe.
Specifically, the mobile terminal may be a mobile phone, a tablet computer, a computer, or other terminal devices. The intelligent refrigerator comprises a display screen and can display the menu. The intelligent refrigerator logs in the cloud server through the APP of the mobile terminal, and therefore the intelligent refrigerator and the intelligent cooking equipment are bound under the same account through the account logged in by the APP of the mobile terminal to establish contact, so that an intelligent cooking system is formed, for example: the account number logs in the mobile phone APP, the code scanning is bound with the intelligent refrigerator and the intelligent cooking equipment, and the establishment of the relationship between the two equipment is completed by binding the two equipment under the same account number.
As shown in fig. 4, another recipe recommendation system according to an embodiment of the present invention includes: a cloud server 401, an intelligent refrigerator 402 and an intelligent cooking device 403; the intelligent refrigerator 402 acquires the menu from the cloud server 401, issues the menu selected by the user to the intelligent cooking device 403 after the menu is selected by the user, and can directly start cooking of the menu when the menu is issued and the cooking device is ready and the preparation work of food materials and the like is ready.
The various embodiments of the invention have at least the following advantages:
1. according to the embodiment of the invention, the intelligent menu recommendation can be carried out according to the login condition of the intelligent refrigerator on the cloud server and whether the intelligent cooking equipment is bound or not, and the obtained menus are sequenced, so that the menus recommended to the user can be made by the intelligent cooking equipment, and the user experience of the menu recommendation function is improved.
2. In the embodiment of the invention, when the user uses the menu recommendation function when not logging in the cloud server, the user can be prompted to log in; when any intelligent cooking equipment is not bound to the intelligent refrigerator, the user is prompted to have no equipment, according to the set shopping links of the shopping mall, the purchase flow of the intelligent cooking equipment capable of entering the cooking menu is clicked, and the user experience is further improved.
3. In the embodiment of the invention, the intelligent refrigerator can determine the food information in the intelligent refrigerator and recommend the menu according to the food information and the intelligent cooking equipment, so that a user can conveniently and directly use the food materials in the refrigerator to cook through the acquired menu, and the convenience is improved.
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 unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as 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 menu recommendation method is characterized by being applied to an intelligent refrigerator;
when a recommendation instruction input by a user is received, judging whether the intelligent refrigerator logs in a cloud server or not, wherein at least one menu information is stored in the cloud server, and each menu information comprises a cooking method of the menu, food material information and an equipment identifier of intelligent cooking equipment needing to be used;
when the intelligent refrigerator logs in the cloud server, judging whether the intelligent refrigerator is bound with at least one intelligent cooking device;
when the intelligent refrigerator is bound with a first intelligent cooking device of at least one type of intelligent cooking device, at least one first menu is obtained from the cloud server, and the first menu comprises a device identifier of the first intelligent cooking device;
sequencing at least one first menu;
displaying the at least one first ordered menu for a user to view the at least one first ordered menu;
receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook;
and sending the target menu to the intelligent cooking equipment so that the intelligent cooking equipment can prepare the dishes according to the target menu.
2. The method of claim 1,
when the intelligent refrigerator does not log in the cloud server, acquiring at least one second menu currently stored by the cloud server from the cloud server and sequencing the at least one second menu;
and generating a piece of prompt information for prompting the user to log in, and displaying the at least one second menu and the prompt information after sequencing.
3. The method of claim 2,
when the intelligent refrigerator is not bound with at least one intelligent cooking device, acquiring at least one second menu from the cloud server and sequencing the at least one second menu;
and generating purchase information representing a purchase link containing at least one intelligent cooking device, and displaying the at least one second menu and the purchase information after the sequencing.
4. The method of claim 1,
the ordering at least one first recipe comprises:
acquiring at least one food image in the intelligent refrigerator, identifying the at least one food image, and judging whether the at least one food image comprises at least one target food material information;
when the food image comprises at least one target food material information, the order of the menu comprising the at least one target food material information and the equipment identifier of the first intelligent cooking equipment is moved forward in the at least one first menu.
5. The method of claim 4,
when the food image does not comprise at least one piece of target food material information, the order of the menu containing the equipment identification is moved forward in the at least one first menu.
6. The intelligent refrigerator based on the recipe recommendation method as set forth in any one of claims 1 to 5, comprising:
the device comprises a processing unit, a display unit and a sending unit;
the processing unit is used for judging whether the intelligent refrigerator logs in a cloud server or not when a recommendation instruction input by a user is received, wherein at least one menu information is stored in the cloud server, and each menu information comprises a cooking method of the menu, food material information and an equipment identifier of intelligent cooking equipment needing to be used;
when the intelligent refrigerator logs in the cloud server, judging whether the intelligent refrigerator is bound with at least one intelligent cooking device;
when the intelligent refrigerator is bound with a first intelligent cooking device of at least one type of intelligent cooking device, at least one first menu is obtained from the cloud server, and the first menu comprises a device identifier of the first intelligent cooking device;
sequencing at least one first menu;
the display unit is used for displaying the at least one first menu after sequencing;
receiving a selection instruction input by a user, wherein the selection instruction comprises a target menu which the user wants to cook;
the sending unit is used for sending the target menu to the intelligent cooking equipment so that the intelligent cooking equipment can prepare dishes according to the target menu.
7. The intelligent refrigerator of claim 6,
the processing unit is used for acquiring at least one second menu currently stored by the cloud server from the cloud server and sequencing the at least one second menu when the intelligent refrigerator is not logged in the cloud server;
and generating a prompt message for prompting the user to log in, and displaying the at least one second menu and the prompt message so that the user can view the at least one second menu and the prompt message in sequence.
8. The intelligent refrigerator of claim 7,
the processing unit is used for acquiring the at least one second menu from the cloud server and sequencing the at least one second menu when the intelligent refrigerator is not bound with the at least one intelligent cooking device;
and generating purchase information representing a purchase link containing at least one intelligent cooking device, and displaying the at least one second menu and the purchase information after the sequencing.
9. The intelligent refrigerator of claim 6,
when the processing unit executes the sequencing of the at least one first menu, the processing unit specifically executes:
acquiring at least one food image in the intelligent refrigerator, identifying the at least one food image, and judging whether the at least one food image comprises at least one target food material information;
when the food image comprises at least one target food material information, advancing the sequence of a menu comprising the at least one target food material information and the equipment identifier of the first intelligent cooking equipment in the at least one first menu;
when the food image does not comprise at least one piece of target food material information, the order of the menu containing the equipment identification is moved forward in the at least one first menu.
10. The menu recommendation system is characterized by comprising: a mobile terminal, at least one intelligent cooking device and the intelligent refrigerator of any one of claims 6-9;
the mobile terminal is used for logging the intelligent refrigerator in the cloud server; binding at least one intelligent cooking device with the intelligent refrigerator;
the intelligent cooking equipment is used for receiving a target menu and cooking and preparing dishes according to the target menu.
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| CN202010813357.7A CN112100484A (en) | 2020-08-13 | 2020-08-13 | Menu recommendation method and system and intelligent refrigerator |
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| CN202010813357.7A CN112100484A (en) | 2020-08-13 | 2020-08-13 | Menu recommendation method and system and intelligent refrigerator |
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Application publication date: 20201218 |