CN112890715A - Method, data platform and server for dish washing machine - Google Patents
Method, data platform and server for dish washing machine Download PDFInfo
- Publication number
- CN112890715A CN112890715A CN202110069672.8A CN202110069672A CN112890715A CN 112890715 A CN112890715 A CN 112890715A CN 202110069672 A CN202110069672 A CN 202110069672A CN 112890715 A CN112890715 A CN 112890715A
- Authority
- CN
- China
- Prior art keywords
- dishwasher
- data
- tableware
- image
- data platform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/0018—Controlling processes, i.e. processes to control the operation of the machine characterised by the purpose or target of the control
- A47L15/0021—Regulation of operational steps within the washing processes, e.g. optimisation or improvement of operational steps depending from the detergent nature or from the condition of the crockery
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/0018—Controlling processes, i.e. processes to control the operation of the machine characterised by the purpose or target of the control
- A47L15/0063—Controlling processes, i.e. processes to control the operation of the machine characterised by the purpose or target of the control using remote monitoring or controlling of the dishwasher operation, e.g. networking systems
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
- A47L15/4295—Arrangements for detecting or measuring the condition of the crockery or tableware, e.g. nature or quantity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Abstract
The embodiment of the invention discloses a method for dish washing machines, a data platform and a server, which are applied to the data platform, wherein the data platform is communicated with a plurality of dish washing machines, at least one image acquisition device is arranged in each dish washing machine, and the method comprises the following steps: acquiring tableware images in the dishwashers acquired by an image acquisition device of each dishwasher; determining user data of the dishwasher from the tableware image; the user data is stored in a database. Therefore, merchants can conveniently acquire user data of different dish washing machines through the data platform, and accurate data sharing can be performed for different users.
Description
Technical Field
The invention relates to the technical field of dish washing machines, in particular to a method, a data platform and a server for a dish washing machine.
Background
The dish washer is used to automatically clean tableware such as dish, chopsticks, dish, knife and fork. More and more households use dishwashers to wash dishes. The existing dish washing machines are various in types, and users can select different dish washing machines according to their own requirements, such as price, quantity, size, types and the like. The existing dish washing machines have the internet surfing function, and users can obtain recommendation information of merchants when using the dish washing machines. But due to different use demands of different users on the dish washing machine, merchants cannot accurately share data for different users.
Disclosure of Invention
The embodiment of the invention aims to provide a method, a data platform and a server for a dish washing machine, which are used for solving the problem that in the prior art, merchants cannot accurately share data for different users.
In order to achieve the above object, a first aspect of the present invention provides a method for a dishwasher, applied to a data platform, the data platform communicating with a plurality of dishwashers, each dishwasher having at least one image capturing device disposed therein, the method comprising:
acquiring tableware images in the dishwashers acquired by an image acquisition device of each dishwasher;
determining user data of the dishwasher from the tableware image;
the user data is stored in a database.
In an embodiment of the invention, the database comprises at least one of:
a food preference database, a tableware preference database and a dining information database.
In an embodiment of the invention, determining user data of the dishwasher from the dish image comprises:
identifying a contaminant category of the tableware image;
and determining the dietary preference corresponding to the pollutant class according to the pollutant class.
In an embodiment of the present invention, determining the dietary preference corresponding to the contaminant category according to the contaminant category comprises:
storing a menu of a plurality of cuisine categories to a diet preference database;
and matching the pollutant category with the recipes of the plurality of recipe categories to determine the recipe category corresponding to the pollutant category.
In an embodiment of the invention, determining user data of the dishwasher from the dish image comprises:
identifying texture information of the tableware image;
and determining the tableware style of the tableware according to the texture information.
In an embodiment of the invention, the method further comprises:
acquiring washing data of each dishwasher;
the daily meal times are determined from the wash data.
In an embodiment of the present invention, determining the user data of the dishwasher from the meal image comprises:
identifying the number of the tableware image;
and determining the number of the diners according to the number of the diners and the daily dinning times.
A second aspect of the invention provides a data platform in communication with a plurality of dishwashers, each dishwasher having at least one image acquisition device disposed therein, the data platform being configured to perform the method described above for the dishwasher.
A third aspect of the invention provides a server comprising the data platform described above.
In an embodiment of the invention, the server comprises a cloud server.
In an embodiment of the invention, the cloud server comprises a private cloud server.
A fourth aspect of the invention provides a machine-readable storage medium having stored thereon instructions for causing a machine to perform the method for a dishwasher described above.
A fifth aspect of the invention provides a computer program product comprising a computer program which, when executed by a processor, implements the method for a dishwasher described above.
Through the technical scheme, the data platform is communicated with the dish washing machines, the tableware images in the dish washing machines collected by the image collecting devices of each dish washing machine are obtained, the user data of the dish washing machines are determined according to the tableware images, and then the user data are stored in the database, so that merchants can conveniently obtain the user data of different dish washing machines through the data platform, and accurate data sharing can be carried out on different users.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a schematic flow diagram of a method for a dishwasher according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for determining user data for a dishwasher in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method for determining user data of a dishwasher according to another embodiment of the present invention;
FIG. 4 is a schematic flow chart of a method for a dishwasher according to another embodiment of the present invention;
FIG. 5 is a flow chart illustrating a method for determining user data of a dishwasher according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a data platform according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is 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 at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
FIG. 1 is a schematic flow diagram of a method for a dishwasher according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for a dishwasher, applied to a data platform, the data platform may communicate with a plurality of dishwashers, each dishwasher may be provided with at least one image acquisition device inside, and the method may include the following steps.
In step S11, an image of the dishes inside the dishwasher collected by the image capturing device of each dishwasher is acquired. In an embodiment of the invention, the data platform is a platform for acquiring data and storing data. The data platform can be communicated with a plurality of dishwashers, so that data of the dishwashers can be acquired, and data sharing is realized. At least one image capture device is disposed within the interior of each dishwasher such that the data platform can capture images of the dishware within the interior of each dishwasher. The image capturing device may include, but is not limited to, a camera, a video camera, a scanner, and other devices with a camera function. The dish image refers to an image containing the dishes inside the dishwasher, which may include, but are not limited to, bowls, plates, chopsticks, spoons, soup cups, and the like. One or more image capturing devices may be provided in the interior of the dishwasher to capture images of the interior of the dishwasher in all directions. In one example, the image capture device may take a picture of the interior of the dishwasher and synchronize the real-time image with a data platform that may acquire the image of the interior of the dishwasher in real time. In another example, the image capture device may capture the dishwasher interior at set intervals, for example, 5s intervals. In another example, the image capturing device may also capture images according to a capture instruction sent by the dishwasher. For example, the control device of the dishwasher generates a photographing instruction according to a washing course of the dishwasher or according to an operation of a user, and transmits the photographing instruction to the image capturing apparatus.
In step S12, user data of the dishwasher is determined from the dish image. In embodiments of the present invention, the user data may include, but is not limited to, the user's dietary preferences, eating preferences, dining information, and the like. In one example, a user's dietary preferences may be determined from the utensil image, and by identifying the contaminant class of the utensil image, the dietary preference corresponding to the contaminant class is determined. For example, the food preference is classified according to the dish system, the data platform identifies chopped chili, fish head, chili and fried meat in the tableware image, and the food preference of the user can be determined to be Hunan dish. For another example, the meal preferences are classified according to a recipe, and the data platform identifies the food items to which the contaminants specifically correspond in the tableware image, thereby inferring the type of food items preferred by the user. In another example, a user's cutlery preferences may be determined from the cutlery image, which may include the price of the cutlery, the texture of the cutlery, the name plate of the cutlery, the color of the cutlery, and so forth. The data platform can determine the favorite tableware style of the user by identifying the lines of the tableware image, such as the northern Europe style, the American style, the Japanese style, the Chinese style and the like. The data platform can also determine the expense interval of the tableware selected by the user through identifying the nameplate of the tableware image, so that the consumption capacity information of the user can be acquired. The data platform can also acquire the color preferred by the user by identifying the color of the tableware image. In another example, the user's meal information may be determined from the dish images, e.g., the number of user meals may be inferred from the number of dishes washed by the dishwasher. It should be noted that the determination of the user data of the dishwasher is not limited to the method described in the above example, but may be other methods of determining the user data of the dishwasher.
In step S13, the user data is stored in the database. In an embodiment of the invention, the data platform may establish a database for each dishwasher after establishing communication with each dishwasher. The data platform can establish a unique database corresponding to each dishwasher according to the unique identification information, such as the coding information, of each dishwasher. The user data is stored in the database so that the data platform can acquire the user data of each dish washing machine, and meanwhile, the data platform can share the data of each dish washing machine according to the acquired user data. For example, if the user of the number 1 dishwasher prefers Hunan dishes and Chinese style tableware, the data platform may push the menu of Hunan dishes, Chinese style tableware, etc. to the user of the number 1 dishwasher. Further, the data platform can share data through the mobile terminal which is communicated with each dishwasher, and a user can check the data shared by the data platform while operating the dishwashers. Therefore, data sharing can be accurately carried out according to the requirements of users, and the effectiveness of data sharing is improved. It should be noted that the database may be continuously updated, and the data platform may obtain the tableware images inside the dish washer collected by the image collecting device of each dish washer for many times, and then determine the user data of the dish washer according to the current tableware images and the historical user data. The dishwasher's user data is stored in a variety of ways, in one example, the data platform overrides historical user data with the most recent user data. In another example, the data platform may store both up-to-date user data and historical user data.
Through the technical scheme, the data platform is communicated with the dish washing machines, the tableware images in the dish washing machines collected by the image collecting devices of each dish washing machine are obtained, the user data of the dish washing machines are determined according to the tableware images, and then the user data are stored in the database, so that merchants can conveniently obtain the user data of different dish washing machines through the data platform, and accurate data sharing can be carried out on different users.
In an embodiment of the invention, the database may comprise at least one of:
a food preference database, a tableware preference database and a dining information database.
In particular, the data platform may establish a database for each dishwasher after establishing communication with each dishwasher. The data platform can establish a unique database corresponding to each dishwasher according to the unique identification information, such as the coding information, of each dishwasher. The database for each dishwasher may include a plurality of databases for storing different aspects of data for the user. The dietary preference refers to the dietary taste of the user, and the dietary preference can be divided according to various rules, such as a cuisine or a recipe. The tableware preference refers to the preference of the user for the price, style, color, etc. of the tableware. Meal information may include, but is not limited to, the number of people the user has a meal, the time of the meal, etc. The data platform can acquire data in various aspects of users by establishing a plurality of databases corresponding to each dish washing machine, and the data are classified and stored, so that the data in the databases used by the data platform subsequently are more efficient.
FIG. 2 is a flow chart illustrating a method for determining user data of a dishwasher according to an embodiment of the present invention. As shown in FIG. 2, the step S12 of determining the user data of the dishwasher based on the tableware image may include:
step S21, identifying the pollutant category of the tableware image;
and step S22, determining the dietary preference corresponding to the pollutant category according to the pollutant category.
In an embodiment of the invention, the user data may be dietary preference data of the user. The data platform acquires the tableware images inside the dish washing machines acquired by the image acquisition equipment of each dish washing machine, and can identify the pollutant types of the tableware images. The contaminant category refers to a category to which contaminants remaining on the dishes belong, and the contaminant category may be a certain kind of dishes. In one example, the data platform can identify the dish categories of the pollutants through deep learning of the neural network model, and the neural network model is continuously updated according to each identification result, so that the identification of the pollutants by the data platform is more accurate. After the data platform identifies the category of the contaminant, the user's dietary preferences may be determined based on the contaminant category. The dietary preference refers to the dietary taste of the user, and the data platform can divide the dietary preference in various ways, such as by cuisine or by recipe. In one example, the data platform may classify the dietary preferences by cuisine, e.g., the data platform identifies chopped peppers, fish heads, peppers, fried meats in the tableware image, may determine that the user's dietary preferences are Hunan cuisine. In another example, the data platform may classify the dietary preferences by recipe, the data platform identifying contaminants in the dish image that specifically correspond to the dish, thereby inferring the type of dish preferred by the user. In embodiments of the present invention, the data platform may determine a plurality of types of dietary preference data for a user. The data platform can identify the pollutant category of the tableware image for multiple times, store the diet preference corresponding to the pollutant determined each time, and determine the diet preference type with the largest proportion as the diet preference data of the user. By identifying the type of the pollutant of the tableware image, the diet preference of the user can be accurately acquired.
In an embodiment of the present invention, determining the dietary preference corresponding to the pollutant class according to the pollutant class may include:
storing a menu of a plurality of cuisine categories to a diet preference database;
and matching the pollutant category with the recipes of the plurality of recipe categories to determine the recipe category corresponding to the pollutant category.
In particular, the data platform may partition the user's dietary preferences by cuisine category. The cuisine refers to a set of self-made cooking skills and flavors formed through long-term evolution in a certain area due to different climates, geographies, histories, physical products and dietary customs. The cuisine generally has a distinctive local flavor. The cuisine can include but is not limited to cuisine such as Sichuan cuisine, Hunan cuisine, Lucai, Guangdong cuisine, Sucai, Zhejiang cuisine, Mincuisine, Huisian cuisine and the like. The data platform may save a recipe for a plurality of cuisine categories to the dietary preference database, and may subsequently continuously update the dietary preference database. After the contaminant category of the tableware image is identified, the contaminant category is matched to a recipe of a plurality of cuisine categories to determine a cuisine category to which the contaminant category may correspond. For example, the pollutant types are identified as chopped chili peppers and fish heads, the chopped chili peppers and the fish heads are matched with the recipes of a plurality of recipe categories, the matching result of the chopped chili peppers and the fish heads with the recipes in the Hunan cuisine can be obtained, and therefore the recipe category corresponding to the pollutant category is determined to be Hunan cuisine. Therefore, the data platform can recommend Hunan cuisine and related menu information of Hunan cuisine when the data platform shares the data with the dish-washing machine.
FIG. 3 is a flow chart illustrating a method for determining user data of a dishwasher according to another embodiment of the present invention. As shown in FIG. 3, the step S12 of determining the user data of the dishwasher based on the tableware image may include:
step S31, identifying the texture information of the tableware image;
and step S32, determining the style of the tableware according to the texture information.
In an embodiment of the present invention, the user data may be tableware preference data of the user. The data platform acquires the tableware images in the dish washer acquired by the image acquisition equipment of each dish washer, and can identify the texture information of the tableware in the tableware images. The tableware styles can comprise Chinese style, American style and European style, wherein the European style can be further divided into English style and French style. The textures of different tableware styles have unique patterns or lines, for example, English style is simple in modeling, and French style is grandeur. The data platform can identify the tableware style corresponding to the tableware image through deep learning of the neural network model. In embodiments of the present invention, the user's cutlery preference data determined by the data platform may have a variety of styles. The data platform can recognize the texture information of the tableware image for many times, store the tableware style determined each time, and determine the tableware style with the most proportion as the tableware segmentation preferred by the user. By identifying the type of the pollutant of the tableware image, the tableware preference data of the user can be accurately acquired. In this way, the data platform can be facilitated to recommend relevant style information when sharing with the dishwasher data.
FIG. 4 is a schematic flow chart of a method for a dishwasher according to another embodiment of the present invention. As shown in fig. 4, the method may further include:
step S41, washing data of each dishwasher is obtained;
and step S42, determining the daily meal times according to the washing data.
In embodiments of the present invention, the data platform may also acquire washing data for each dishwasher. The washing data may include, but is not limited to, washing time, washing times, washing pattern, etc. of the dishwasher. The number of daily meals by the user can be determined from the wash data. The number of times the dishwasher is used in different households is different, for example, a general office worker has one to two meals, and a general family with an elderly person may have three meals. From the wash data of each dishwasher, the daily meal times of each household can be deduced, in order to subsequently deduce the number of persons in that household.
FIG. 5 is a flow chart illustrating a method for determining user data of a dishwasher according to another embodiment of the present invention. As shown in fig. 5, the step S12 of determining the user data of the dishwasher according to the meal image may include:
step S51, identifying the quantity of the tableware in the tableware image;
and step S52, determining the number of the diners according to the number of the diners and the daily diner frequency.
In embodiments of the present invention, the data platform may identify the number of utensils for the utensil image based on the number of meals per meal. The number of dinning people of a family corresponding to each dishwasher can be further determined according to the number of the dinnerware and the daily number of dinning, so that the data platform can share data according to the number of the dinning people and the daily number of dinning while sharing the data.
Fig. 6 is a schematic structural diagram of a data platform according to an embodiment of the present invention. As shown in fig. 6, an embodiment of the present invention provides a data platform that may be in communication with a plurality of dishwashers, each dishwasher may be provided with at least one image capture device therein, and the data platform may be configured to perform the method for a dishwasher as described above. In an embodiment of the present invention, the data platform may include a processor 610 and a memory 620. The memory 620 may store instructions that, when executed by the processor 610, may cause the processor 610 to perform the methods for a dishwasher described in the previous embodiments.
In particular, in embodiments of the invention, the processor 610 may be configured to:
acquiring tableware images in the dishwashers acquired by an image acquisition device of each dishwasher;
determining user data of the dishwasher from the tableware image;
the user data is stored in a database.
In an embodiment of the invention, the data platform is a platform for acquiring data and storing data. The data platform can be communicated with a plurality of dishwashers, so that data of the dishwashers can be acquired, and data sharing is realized. At least one image capture device is disposed within the interior of each dishwasher such that the data platform can capture images of the dishware within the interior of each dishwasher. The image capturing device may include, but is not limited to, a camera, a video camera, a scanner, and other devices with a camera function. The dish image refers to an image containing the dishes inside the dishwasher, which may include, but are not limited to, bowls, plates, chopsticks, spoons, soup cups, and the like. One or more image capturing devices may be provided in the interior of the dishwasher to capture images of the interior of the dishwasher in all directions. In one example, the image capture device may take a picture of the interior of the dishwasher and synchronize the real-time image with a data platform that may acquire the image of the interior of the dishwasher in real time. In another example, the image capture device may capture the dishwasher interior at set intervals, for example, 5s intervals. In another example, the image capturing device may also capture images according to a capture instruction sent by the dishwasher. For example, the control device of the dishwasher generates a photographing instruction according to a washing course of the dishwasher or according to an operation of a user, and transmits the photographing instruction to the image capturing apparatus.
In embodiments of the present invention, the user data may include, but is not limited to, the user's dietary preferences, eating preferences, dining information, and the like. In one example, a user's dietary preferences may be determined from the utensil image, and by identifying the contaminant class of the utensil image, the dietary preference corresponding to the contaminant class is determined. For example, the food preference is classified according to the dish system, the data platform identifies chopped chili, fish head, chili and fried meat in the tableware image, and the food preference of the user can be determined to be Hunan dish. For another example, the meal preferences are classified according to a recipe, and the data platform identifies the food items to which the contaminants specifically correspond in the tableware image, thereby inferring the type of food items preferred by the user. In another example, a user's cutlery preferences may be determined from the cutlery image, which may include the price of the cutlery, the texture of the cutlery, the name plate of the cutlery, the color of the cutlery, and so forth. The data platform can determine the favorite tableware style of the user by identifying the lines of the tableware image, such as the northern Europe style, the American style, the Japanese style, the Chinese style and the like. The data platform can also determine the expense interval of the tableware selected by the user through identifying the nameplate of the tableware image, so that the consumption capacity information of the user can be acquired. The data platform can also acquire the color preferred by the user by identifying the color of the tableware image. In another example, the user's meal information may be determined from the dish images, e.g., the number of user meals may be inferred from the number of dishes washed by the dishwasher. It should be noted that the determination of the user data of the dishwasher is not limited to the method described in the above example, but may be other methods of determining the user data of the dishwasher.
In an embodiment of the invention, the data platform may establish a database for each dishwasher after establishing communication with each dishwasher. The data platform can establish a unique database corresponding to each dishwasher according to the unique identification information, such as the coding information, of each dishwasher. The user data is stored in the database so that the data platform can acquire the user data of each dish washing machine, and meanwhile, the data platform can share the data of each dish washing machine according to the acquired user data. For example, if the user of the number 1 dishwasher prefers Hunan dishes and Chinese style tableware, the data platform may push the menu of Hunan dishes, Chinese style tableware, etc. to the user of the number 1 dishwasher. Further, the data platform can share data through the mobile terminal which is communicated with each dishwasher, and a user can check the data shared by the data platform while operating the dishwashers. Therefore, data sharing can be accurately carried out according to the requirements of users, and the effectiveness of data sharing is improved. It should be noted that the database may be continuously updated, and the data platform may obtain the tableware images inside the dish washer collected by the image collecting device of each dish washer for many times, and then determine the user data of the dish washer according to the current tableware images and the historical user data. The dishwasher's user data is stored in a variety of ways, in one example, the data platform overrides historical user data with the most recent user data. In another example, the data platform may store both up-to-date user data and historical user data.
Through the technical scheme, the data platform is communicated with the dish washing machines, the tableware images in the dish washing machines collected by the image collecting devices of each dish washing machine are obtained, the user data of the dish washing machines are determined according to the tableware images, and then the user data are stored in the database, so that merchants can conveniently obtain the user data of different dish washing machines through the data platform, and accurate data sharing can be carried out on different users.
In an embodiment of the invention, the database comprises at least one of:
a food preference database, a tableware preference database and a dining information database.
In particular, the data platform may establish a database for each dishwasher after establishing communication with each dishwasher. The data platform can establish a unique database corresponding to each dishwasher according to the unique identification information, such as the coding information, of each dishwasher. The database for each dishwasher may include a plurality of databases for storing different aspects of data for the user. The dietary preference refers to the dietary taste of the user, and the dietary preference can be divided according to various rules, such as a cuisine or a recipe. The tableware preference refers to the preference of the user for the price, style, color, etc. of the tableware. Meal information may include, but is not limited to, the number of people the user has a meal, the time of the meal, etc. The data platform can acquire data in various aspects of users by establishing a plurality of databases corresponding to each dish washing machine, and the data are classified and stored, so that the data in the databases used by the data platform subsequently are more efficient.
In an embodiment of the invention, the processor 610 may be further configured to:
determining user data for the dishwasher from the dish image comprises:
identifying a contaminant category of the tableware image;
and determining the dietary preference corresponding to the pollutant class according to the pollutant class.
In an embodiment of the invention, the user data may be dietary preference data of the user. The data platform acquires the tableware images inside the dish washing machines acquired by the image acquisition equipment of each dish washing machine, and can identify the pollutant types of the tableware images. The contaminant category refers to a category to which contaminants remaining on the dishes belong, and the contaminant category may be a certain kind of dishes. In one example, the data platform can identify the dish categories of the pollutants through deep learning of the neural network model, and the neural network model is continuously updated according to each identification result, so that the identification of the pollutants by the data platform is more accurate. After the data platform identifies the category of the contaminant, the user's dietary preferences may be determined based on the contaminant category. The dietary preference refers to the dietary taste of the user, and the data platform can divide the dietary preference in various ways, such as by cuisine or by recipe. In one example, the data platform may classify the dietary preferences by cuisine, e.g., the data platform identifies chopped peppers, fish heads, peppers, fried meats in the tableware image, may determine that the user's dietary preferences are Hunan cuisine. In another example, the data platform may classify the dietary preferences by recipe, the data platform identifying contaminants in the dish image that specifically correspond to the dish, thereby inferring the type of dish preferred by the user. In embodiments of the present invention, the data platform may determine a plurality of types of dietary preference data for a user. The data platform can identify the pollutant category of the tableware image for multiple times, store the diet preference corresponding to the pollutant determined each time, and determine the diet preference type with the largest proportion as the diet preference data of the user. By identifying the type of the pollutant of the tableware image, the diet preference of the user can be accurately acquired.
In an embodiment of the invention, the processor 610 may be further configured to:
determining a dietary preference corresponding to the contaminant category based on the contaminant category includes:
storing a menu of a plurality of cuisine categories to a diet preference database;
and matching the pollutant category with the recipes of the plurality of recipe categories to determine the recipe category corresponding to the pollutant category.
In particular, the data platform may partition the user's dietary preferences by cuisine category. The cuisine refers to a set of self-made cooking skills and flavors formed through long-term evolution in a certain area due to different climates, geographies, histories, physical products and dietary customs. The cuisine generally has a distinctive local flavor. The cuisine can include but is not limited to cuisine such as Sichuan cuisine, Hunan cuisine, Lucai, Guangdong cuisine, Sucai, Zhejiang cuisine, Mincuisine, Huisian cuisine and the like. The data platform may save a recipe for a plurality of cuisine categories to the dietary preference database, and may subsequently continuously update the dietary preference database. After the contaminant category of the tableware image is identified, the contaminant category is matched to a recipe of a plurality of cuisine categories to determine a cuisine category to which the contaminant category may correspond. For example, the pollutant types are identified as chopped chili peppers and fish heads, the chopped chili peppers and the fish heads are matched with the recipes of a plurality of recipe categories, the matching result of the chopped chili peppers and the fish heads with the recipes in the Hunan cuisine can be obtained, and therefore the recipe category corresponding to the pollutant category is determined to be Hunan cuisine. Therefore, the data platform can recommend Hunan cuisine and related menu information of Hunan cuisine when the data platform shares the data with the dish-washing machine.
In an embodiment of the invention, the processor 610 may be further configured to:
determining user data for the dishwasher from the dish image comprises:
identifying texture information of the tableware image;
and determining the tableware style of the tableware according to the texture information.
In an embodiment of the present invention, the user data may be tableware preference data of the user. The data platform acquires the tableware images in the dish washer acquired by the image acquisition equipment of each dish washer, and can identify the texture information of the tableware in the tableware images. The tableware styles can comprise Chinese style, American style and European style, wherein the European style can be further divided into English style and French style. The textures of different tableware styles have unique patterns or lines, for example, English style is simple in modeling, and French style is grandeur. The data platform can identify the tableware style corresponding to the tableware image through deep learning of the neural network model. In embodiments of the present invention, the user's cutlery preference data determined by the data platform may have a variety of styles. The data platform can recognize the texture information of the tableware image for many times, store the tableware style determined each time, and determine the tableware style with the most proportion as the tableware segmentation preferred by the user. By identifying the type of the pollutant of the tableware image, the tableware preference data of the user can be accurately acquired. In this way, the data platform can be facilitated to recommend relevant style information when sharing with the dishwasher data.
In an embodiment of the invention, the processor 610 may be further configured to:
acquiring washing data of each dishwasher;
the daily meal times are determined from the wash data.
In embodiments of the present invention, the data platform may also acquire washing data for each dishwasher. The washing data may include, but is not limited to, washing time, washing times, washing pattern, etc. of the dishwasher. The number of daily meals by the user can be determined from the wash data. The number of times the dishwasher is used in different households is different, for example, a general office worker has one to two meals, and a general family with an elderly person may have three meals. From the wash data of each dishwasher, the daily meal times of each household can be deduced, in order to subsequently deduce the number of persons in that household.
In an embodiment of the invention, the processor 610 may be further configured to:
determining user data of the dishwasher from the meal image includes:
identifying the number of the tableware image;
and determining the number of the diners according to the number of the diners and the daily dinning times.
In embodiments of the present invention, the data platform may identify the number of utensils for the utensil image based on the number of meals per meal. The number of dinning people of a family corresponding to each dishwasher can be further determined according to the number of the dinnerware and the daily number of dinning, so that the data platform can share data according to the number of the dinning people and the daily number of dinning while sharing the data.
Examples of a processor may include, but are not limited to, a general purpose processor, a special purpose processor, a conventional processor, a Digital Signal Processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) circuits, any other type of Integrated Circuit (IC), a state machine, and the like. The processor may perform signal encoding, data processing, power control, input/output processing.
Examples of memory may include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that may be used to store information that may be accessed by a processor.
The invention also provides a server which can comprise the data platform.
In an embodiment of the invention, the server may comprise a cloud server.
In embodiments of the present invention, the cloud server may comprise a private cloud server.
The present invention also provides a machine-readable storage medium having stored thereon instructions for causing a machine to perform the above-described method for a dishwasher.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements the method for a dishwasher as described above.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
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 embodiments of 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.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (13)
1. A method for a dishwasher, applied to a data platform communicating with a plurality of dishwashers, each dishwasher being internally provided with at least one image-acquisition device, the method comprising:
acquiring tableware images in the dishwashers acquired by an image acquisition device of each dishwasher;
determining user data for the dishwasher from the dish image;
storing the user data in a database.
2. The method of claim 1, wherein the database comprises at least one of:
a food preference database, a tableware preference database and a dining information database.
3. The method of claim 2, wherein said determining user data for the dishwasher from the dish image comprises:
identifying a contaminant category of the tableware image;
and determining the dietary preference corresponding to the pollutant category according to the pollutant category.
4. The method of claim 3, wherein determining the dietary preference corresponding to the contaminant category based on the contaminant category comprises:
storing a menu of a plurality of cuisine categories to the dietary preference database;
and matching the pollutant category with the recipes of the plurality of recipe categories to determine the recipe category corresponding to the pollutant category.
5. The method of claim 2, wherein said determining user data for the dishwasher from the dish image comprises:
identifying texture information of the tableware image;
and determining the tableware style of the tableware according to the texture information.
6. The method of claim 2, further comprising:
acquiring washing data of each dishwasher;
and determining the daily meal times according to the washing data.
7. The method of claim 6, wherein said determining user data of the dishwasher from the meal image comprises:
identifying a quantity of the utensils for the utensil image;
and determining the number of diners according to the number of the diners and the daily dinning times.
8. A data platform, characterized in that it communicates with a plurality of dishwashers, each provided internally with at least one image acquisition device, the data platform being configured to carry out the method for dishwashers according to claims 1 to 7.
9. A server, characterized in that it comprises a data platform according to claim 8.
10. The server of claim 9, wherein the server comprises a cloud server.
11. The server of claim 10, wherein the cloud server comprises a private cloud server.
12. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the method for a dishwasher according to any one of claims 1 to 7.
13. A computer program product comprising a computer program, characterized in that the computer program realizes the method for a dishwasher according to any one of claims 1 to 7 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110069672.8A CN112890715A (en) | 2021-01-19 | 2021-01-19 | Method, data platform and server for dish washing machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110069672.8A CN112890715A (en) | 2021-01-19 | 2021-01-19 | Method, data platform and server for dish washing machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112890715A true CN112890715A (en) | 2021-06-04 |
Family
ID=76115747
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110069672.8A Pending CN112890715A (en) | 2021-01-19 | 2021-01-19 | Method, data platform and server for dish washing machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112890715A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108601500A (en) * | 2016-02-02 | 2018-09-28 | 伊利诺斯工具制品有限公司 | System for the cleaning machine for remotely monitoring or controlling similar commercial dish-washing machine |
| CN110944563A (en) * | 2017-07-19 | 2020-03-31 | Bsh家用电器有限公司 | Household dishwasher, system having a household dishwasher and method for operating a household dishwasher |
| CN111436876A (en) * | 2020-04-16 | 2020-07-24 | 佛山市顺德区美的洗涤电器制造有限公司 | Dish washing machine and control method thereof |
| CN111951927A (en) * | 2019-05-14 | 2020-11-17 | 青岛海尔洗衣机有限公司 | Dish washing machine and control method thereof |
-
2021
- 2021-01-19 CN CN202110069672.8A patent/CN112890715A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108601500A (en) * | 2016-02-02 | 2018-09-28 | 伊利诺斯工具制品有限公司 | System for the cleaning machine for remotely monitoring or controlling similar commercial dish-washing machine |
| CN110944563A (en) * | 2017-07-19 | 2020-03-31 | Bsh家用电器有限公司 | Household dishwasher, system having a household dishwasher and method for operating a household dishwasher |
| CN111951927A (en) * | 2019-05-14 | 2020-11-17 | 青岛海尔洗衣机有限公司 | Dish washing machine and control method thereof |
| CN111436876A (en) * | 2020-04-16 | 2020-07-24 | 佛山市顺德区美的洗涤电器制造有限公司 | Dish washing machine and control method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110287306B (en) | Recipe recommendation method and equipment | |
| US11823042B2 (en) | System for measuring food weight | |
| CN110706131A (en) | Method and device for creating electronic menu, electronic equipment and storage medium | |
| CN109431288A (en) | A kind of electric cooker control method, device, storage medium and electric cooker | |
| CN112894908B (en) | Control method for dish washing machine, control system and processor | |
| CN109214956B (en) | Meal pushing method and device | |
| US11478096B2 (en) | Food monitoring system | |
| CN108172273A (en) | A kind of refrigerator food materials based on visitor recommend method | |
| CN110852912A (en) | Intelligent meal preparation method and device, computer equipment and storage medium | |
| CN109064296A (en) | A kind of methods, devices and systems assisting snack | |
| JP2021513708A (en) | Methods and systems for classifying food | |
| CN107833339B (en) | Method and device for determining ranking duration and electronic equipment | |
| CN112890715A (en) | Method, data platform and server for dish washing machine | |
| CN109801148B (en) | Recommendation method and device for reusable catering tools | |
| CN115587245A (en) | Menu list recommendation method and device, storage medium and electronic device | |
| CN107741946B (en) | A kind of name data base establishing method and device | |
| JP6306785B1 (en) | Information processing system, information processing method, and information processing program | |
| CN110020696A (en) | Material offer, control method, device, equipment and system | |
| CN114648385A (en) | Information interaction method, equipment and medium for intelligent goods shelf | |
| CN110991417A (en) | Kitchen ware processing method and device and cabinet | |
| CN114158998A (en) | Method and device for determining placement position of tableware, server and terminal equipment | |
| CN111738879A (en) | Method and device for estimating time for making dishes | |
| Jiang et al. | Design of Affordable Self-learning Home Cooking Robots | |
| CN110893091A (en) | Method and device for placing tableware | |
| CN110931110A (en) | Diet recommendation method and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |