CN110569348A - recipe adjusting method and device and readable storage medium - Google Patents
recipe adjusting method and device and readable storage medium Download PDFInfo
- Publication number
- CN110569348A CN110569348A CN201810568371.8A CN201810568371A CN110569348A CN 110569348 A CN110569348 A CN 110569348A CN 201810568371 A CN201810568371 A CN 201810568371A CN 110569348 A CN110569348 A CN 110569348A
- Authority
- CN
- China
- Prior art keywords
- recipe
- information
- adjusted
- user
- keyword
- 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.)
- Withdrawn
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Machine Translation (AREA)
Abstract
The invention discloses a recipe adjusting method, a device and a readable storage medium, wherein the method comprises the following steps: receiving voice data collected by a voice collecting device; performing semantic analysis on the voice data to acquire keyword information carried by the voice data; acquiring recipe information matched with the keyword information; and when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
Description
Technical Field
The invention relates to the technical field of cooking, in particular to a recipe adjusting method, a recipe adjusting device and a readable storage medium.
background
At present, various recipes are available on line or on the network, the food material amount described in the recipe details is generally 2 conventional people, and seasonings or seasonings are configured according to the preference of a writer or the taste of the public. When a user cooks according to the recipe guidance, the user often tastes after cooking is finished, and then randomly seasonings are carried out to achieve the favorite taste; however, this randomness is too high, and the "cook-taste-adjust" action is repeated the next time the recipe is cooked; even if the taste is not appropriate, the taste is tasted while cooking, which makes the cooking process complicated and the reusability low.
on the other hand, in order to enable a user to complete recipe cooking more conveniently and more quickly, an electric control program matched with a cooking tool can be written according to cooking steps of the recipe, and the user can complete cooking by clicking to send the electric control program. However, this has the disadvantage that the recipes that can support one-touch cooking are limited: one pot is cooked, or the taste is adjusted and then the pot is cooked, or the seasonings are put after the cooking is finished, which can not reflect the cooking essence of Chinese dish style.
Disclosure of Invention
In view of this, embodiments of the present invention provide a recipe adjustment method, a device and a readable storage medium to solve at least one problem in the prior art, so as to adjust a recipe according to voice information of a user, so that the user uses a recipe that meets his/her taste in a cooking process, a seasoning process of the user after cooking is finished is reduced, cooking efficiency is improved, and user experience is improved.
the technical scheme of the embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a recipe adjustment method, where the method includes:
receiving voice data collected by a voice collecting device;
Performing semantic analysis on the voice data to acquire keyword information carried by the voice data;
acquiring recipe information matched with the keyword information;
and when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
in a second aspect, an embodiment of the present invention provides a recipe adjustment apparatus, including at least: a memory and a processor, wherein:
the memory is used for storing a recipe adjusting program;
The processor is used for executing the recipe adjusting program stored in the memory to realize the following steps:
Receiving voice data collected by a voice collecting device;
Performing semantic analysis on the voice data to acquire keyword information carried by the voice data;
Acquiring recipe information matched with the keyword information;
and when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where a recipe adjustment program is stored on the computer-readable storage medium, and when executed by a processor, the recipe adjustment program implements the steps of the recipe adjustment method provided in the embodiment of the present invention.
The embodiment of the invention provides a recipe adjusting method, a device and a readable storage medium, firstly receiving voice data collected by a voice collecting device; performing semantic analysis on the voice data to acquire keyword information carried by the voice data; acquiring recipe information matched with the keyword information; and when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information. So, can adjust the recipe according to user's speech information to make the user use the recipe that accords with oneself taste in the culinary art process, reduced the process of flavouring of user after the culinary art is finished, and then improve culinary art efficiency, promote user experience.
Drawings
FIG. 1 is a schematic diagram of a flowchart of a recipe adjustment method according to an embodiment of the present invention;
FIG. 2 is a schematic view of a flowchart of a recipe adjustment method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating an implementation of a method for automatically adjusting recipe parameters through semantic parsing according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a process of voice monitoring and voice picking according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a four-recipe adjustment apparatus according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
Example one
The embodiment of the invention provides a recipe adjusting method, which is applied to a recipe adjusting device, wherein the functions realized by the recipe adjusting method can be realized by calling a program code through a processor in the recipe adjusting device, and the program code can be saved in a computer storage medium. Fig. 1 is a schematic flow chart of a recipe adjustment method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
And S101, receiving voice data collected by a voice collecting device.
Here, the step S101 may be implemented by a recipe adjusting device, and in practical applications, the recipe adjusting device may be a server, and further may be a cloud server. The voice collecting device is a device with a voice collecting function, and may be, for example, a mobile terminal (mobile phone) or a family sprite in an intelligent home. Of course, it is also possible to have only one voice collecting device with voice collecting function, in this case, the voice collecting device may be a separate body, or may be a functional module integrated in the cooking machine.
In other embodiments, the step S101 may also be implemented by a cooking machine.
in the present embodiment, it is assumed that the received voice data is "i feel that this chicken bouillon is somewhat salty".
Step S102, semantic analysis is carried out on the voice data, and keyword information carried by the voice data is obtained.
here, step S102 may be implemented by a cloud server, and may also be implemented by a cooking machine.
The speech analysis of the speech data is performed in order to accurately understand the meaning of the speech spoken by the user, and it is emphasized that "understanding" is not simply "recognition". That is, the semantic analysis technique employed in the present embodiment is an understanding of the text symbols recognized by text recognition techniques (including but not limited to speech recognition). In the process of semantic analysis, the basic semantic comprehension capability can be realized by analyzing the syntactic structure of a certain language.
semantic analysis is carried out on the situation that the user feels that the palace chicken dices are slightly salty, keywords of the palace chicken dices and the keywords of the palace chicken dices are obtained firstly, and then the user can understand that the user feels that the palace chicken dices are slightly salty and can accept the keywords. When the obtained voice data is "Tian o", i feel that the palace Bao chicken D is too salty! "the keywords" chicken bouillon "and" too salty "are obtained at this time, and it can be understood that the user feels that the chicken bouillon is too salty and cannot accept the keywords. For example, the obtained voice data is that the palace chicken dices are good if the palace chicken dices are hot again, although the keywords of the palace chicken dices and the keywords of the spicy chicken need to be understood that the user feels not spicy enough but not too spicy.
and step S103, acquiring recipe information matched with the keyword information.
Here, the step S103 may be implemented by a cloud server, and may also be implemented by a cooking machine.
the recipe information may include: recipe identification, recipe parameters, parameter values corresponding to the recipe parameters and a making method. The recipe identifier is also the name of the dish, and the recipe parameters may include: the name of the material used, the cooking time, the fire, etc. For example, the recipe information matched with the keyword "chicken bouillon" may be: diced chicken in the uterus; material consumption: 200g of chicken, 150g of green bamboo shoots, 100g of carrots, 100g of peanuts, 5g of cooking wine, 5g of green onions, 5g of gingers, 5g of garlic, 20g of broad bean paste, 5g of dried peppers, 15g of vinegar, 5g of sugar and 8g of salt.
in the process of obtaining the recipe information matched with the keyword information, firstly, determining a recipe identifier matched with the keyword information, then judging whether the recipe information corresponding to the user identifier and containing the recipe identifier is stored, if the recipe information corresponding to the user identifier and containing the recipe identifier is stored, indicating that the user has cooked the dish before, and possibly the recipe information is the recipe information adjusted according to the taste of the user, determining the recipe information as the recipe information matched with the keyword information at this moment; and if the recipe information which corresponds to the user identifier and contains the recipe identifier is not stored, the fact that the user does not cook the dish before is indicated, and the recipe information containing the recipe identifier is obtained from the identified recipe library according to the matched recipe identifier.
and step S104, when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
Here, the step S104 may be implemented by a cloud server, and may also be implemented by a cooking machine.
In other embodiments, before the step S104, the method further includes: and judging whether the keyword information meets a preset condition, if so, entering the step S104, and if not, ending the process.
Judging whether the keyword information meets preset conditions, wherein in the implementation process, judging whether the keyword information comprises some preset keywords, wherein the preset keywords can be keywords for representing that recipe information needs to be adjusted, such as 'slightly salty', 'too spicy', 'slightly old' and the like; and when the keyword information does not comprise the preset keyword, the keyword information is indicated to not meet the preset condition.
And adjusting the recipe information according to the keyword information, wherein in the implementation process, the recipe information is actually adjusted according to a preset keyword contained in the keyword information. Further, some adjustment schemes may be preset for preset keywords, for example, for "somewhat salty" may be to reduce the weight of the salt of the original recipe information by one quarter, for "too salty" may be to reduce the weight of the salt of the original recipe information by one half, and the like, when the recipe information is adjusted according to the keyword information, first obtaining preset keywords in the keyword information and an adjustment scheme corresponding to the preset keywords, and adjusting the recipe information according to the adjustment scheme. For example, if the preset keyword in the keyword information is "somewhat salty", it is determined that the adjustment scheme corresponding to "somewhat salty" is to reduce the weight of the salt in the original recipe information by one fourth, at this time, the weight of the salt in the recipe information needs to be obtained, assuming that the adjustment scheme is 8g, the adjustment scheme is used for adjusting the weight of the salt to reduce the weight of the salt by one fourth, and then the salt is adjusted to 6 g.
in the recipe adjustment method provided by the embodiment of the invention, firstly, voice data collected by a voice collection device is received; then, performing semantic analysis on the voice data to acquire keyword information carried by the voice data; further acquiring recipe information matched with the keyword information; and when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information. So, can adjust the recipe according to user's speech information to make the user use the recipe that accords with oneself taste in the culinary art process, reduced the process of flavouring of user after the culinary art is finished, and then improve culinary art efficiency, promote user experience.
example two
based on the foregoing embodiments, an embodiment of the present invention further provides a recipe adjusting method applied to a recipe adjusting system, where the recipe adjusting system at least includes: server, cooking machine and pronunciation collection device. Fig. 2 is a schematic flow chart of an implementation of a second recipe adjustment method according to an embodiment of the present invention, as shown in fig. 2, the method includes the following steps:
step S201, the voice collecting device sends the collected voice data to a server.
Here, the voice collecting device may be an independent individual, or may be a functional module integrated in the cooking machine, and since it is necessary to collect the eating feedback voice information of the user when the user eats, the voice collecting device in this embodiment is an independent individual, and may be placed beside the dining table by the user, so as to collect voice data.
In this embodiment, the voice data collected by the voice collecting device is voice data related to cooking, that is, the voice collecting device does not send all the collected voice data to the server, but selectively collects and sends the voice data. For example, when the voice collecting device monitors "i want to eat", it may be considered that the user is about to send voice data related to cooking, and the voice data collection is started.
it should be noted that the voice data sent by the voice collection apparatus carries a user identifier, where the user identifier may be a user name when the user uses the voice collection apparatus.
step S202, the server carries out semantic analysis on the received voice data to obtain keyword information carried by the voice data.
Step S203, the server acquires the recipe information matched with the keyword information.
Here, the step 203 may be implemented by:
Step 11, the server determines a first recipe identifier matched with the keyword information;
Here, the first recipe identifier may be a name of a dish, for example, the keyword is "mushroom dish", and the matched first recipe identifier may be "mushroom dish".
Step 12, the server acquires a user identifier corresponding to the voice data;
step 13, the server judges whether first recipe information corresponding to the user identifier is stored or not, wherein the first recipe information comprises the first recipe identifier;
here, the server determines whether or not the first recipe information corresponding to the user identifier is stored in order to determine whether or not the user has cooked the dish. If the first recipe information is stored, entering step 14; if no first recipe information is stored step 15 is entered.
and step 14, the server determines the first recipe information as the recipe information matched with the keyword information.
Step 15, the server acquires second recipe information corresponding to the first recipe identification from a pre-stored standard recipe library;
And step 16, determining the second recipe information as the recipe information matched with the keyword information.
Step S204, the server judges whether the keyword information meets a preset condition.
Here, the determining whether the keyword information satisfies the preset condition is substantially to determine whether the keyword information includes a keyword related to the recipe adjustment, and if the keyword information includes a keyword related to the recipe adjustment, it indicates that the keyword information satisfies the preset condition, and then the step S205 is performed; if the keyword information does not contain the keyword related to the recipe adjustment, it indicates that the keyword information does not satisfy the preset condition and the keyword information does not satisfy the preset condition, and the step S212 is performed.
step S205, the server determines the recipe parameters to be adjusted and the adjustment values corresponding to the recipe parameters to be adjusted according to the keyword information.
Here, when the keyword information satisfies the preset condition, it is described that the keyword information includes a keyword related to the recipe adjustment, and therefore, in the implementation process of determining the recipe parameter to be adjusted and the adjustment value corresponding to the recipe parameter to be adjusted according to the keyword information, the recipe parameter to be adjusted and the adjustment value corresponding to the recipe parameter to be adjusted are determined according to the keyword related to the recipe adjustment, and further, a corresponding relationship between the keyword related to the adjustment and an adjustment policy may be preset, where the adjustment policy includes the recipe parameter to be adjusted and the adjustment value corresponding to the recipe parameter to be adjusted. For example, if the keyword information includes "mushroom fried dish", "slightly light" as a keyword related to the recipe adjustment, the adjustment policy corresponding to the keyword is salt, and 3g is added, wherein the parameter of the recipe to be adjusted is salt, and the adjustment value is 3 g.
In other embodiments, after the step S205, the method further includes: judging whether the recipe information includes the recipe parameters to be adjusted or not, wherein if the recipe information includes the recipe parameters to be adjusted, the step S206 is performed; if the recipe information does not include the recipe parameter to be adjusted, step S208 is performed.
step S206, if the recipe information comprises the recipe parameters to be adjusted, the server determines the parameter values of the recipe parameters to be adjusted.
Here, if the recipe information includes the recipe parameter to be adjusted, it is indicated that the recipe parameter to be adjusted is an original parameter in the recipe information, and then the existing recipe parameter is adjusted, and a parameter value of the recipe parameter to be adjusted in the recipe information before adjustment needs to be acquired.
And step S207, the server adjusts the recipe information according to the parameter value and the adjustment value to obtain the adjusted recipe information.
here, for example, if the recipe parameter to be adjusted is salt, and the parameter value of the recipe parameter to be adjusted in the recipe information before adjustment is 5g and the adjustment value is 3g, then 8g of salt in the recipe information after adjustment is obtained based on the reference value and the adjustment value.
step S208, if the recipe information does not include the recipe parameter to be adjusted, the server adjusts the recipe information according to the recipe parameter to be adjusted and the adjustment value to obtain the adjusted recipe information.
Here, if the recipe information does not include the recipe parameter to be adjusted, it indicates that the recipe parameter to be adjusted is a newly added parameter, for example, the keywords obtained from the voice data sent by the user are "pan-fried broccoli", "add spicy" and "add spicy" as keywords related to the recipe adjustment, and its corresponding adjustment policy is hot pepper, and 5g is added, because hot pepper is not included in the recipe information of the dish that is the broccoli pan-fried in the conventional recipe, at this time, hot pepper, 5g needs to be added to the recipe information, so as to obtain the adjusted recipe information.
Step S209, if the server does not store the first recipe information, determining the cooked recipe information of the user according to the user identification.
here, if the server does not store the first recipe information corresponding to the user identifier, indicating that the user has not cooked the dish before, the taste preference of the user may be obtained according to the cooked recipe information of the user at this time.
Step S210, the server determines the preference information of the user according to the cooked recipe information.
here, the preference information of the user may include: whether the taste is light, whether the taste is hot, the amount of cooking at ordinary times, the duration of the dish, etc.
And step S211, the server adjusts the recipe information according to the preference information of the user to obtain the adjusted recipe information.
Here, it is assumed that the preference information of the user obtained from the recipe information that the user has cooked is: and the recipe information can be adjusted according to the preference information of the user, so that the recipe information conforming to the taste of the user is obtained.
in step S212, the server determines whether the user needs to cook.
here, the server may determine whether the user needs to cook according to the keyword information, for example, if the keyword includes information such as "i want to do now", the user indicates that the user needs to cook, or the user may turn on a switch of the cooking machine, the cooking machine sends a cooking notification message to the server, and after receiving the notification message, the server indicates that the user needs to cook, and then the process goes to step S213; if the user does not need to cook, the process proceeds to step S215.
Step S213, if the user needs to cook, the server sends the adjusted recipe information to the cooking machine.
And step S214, the cooking machine cooks according to the adjusted recipe information.
Step S215, the server saves the adjusted recipe information.
Here, in the implementation process of step S215, it needs to be implemented in two cases:
in the first case: and if the server stores first recipe information corresponding to the user identification, the server updates the first recipe information into the adjusted recipe information and stores the adjusted recipe information.
In the second case: and if the server does not store the first recipe information corresponding to the user identification, the server establishes a corresponding relation between the user identification and the adjusted recipe information and stores the corresponding relation.
In other embodiments, the method further comprises:
Step 11, the server acquires the times of cooking the first recipe identifier by the user in a preset time period;
and 12, when the times are larger than a preset threshold value, the server sends the recipe information including the first recipe identifier to the cooking machine.
That is to say, when the number of times that a user cooks a certain dish reaches a certain threshold, the server issues recipe information corresponding to the dish to the cooking machine, so that the user can quickly acquire the recipe information to cook the dish.
In the recipe adjustment method provided by the embodiment of the invention, firstly, a voice collecting device sends collected voice data to a server, then the server performs semantic analysis on the received voice data to obtain keyword information carried by the voice data and obtain recipe information matched with the keyword information, and when the keyword information meets a preset condition, the recipe information is adjusted according to the keyword information to obtain adjusted recipe information; when the user cooks the dish for the first time, the server can determine the cooked recipe information of the user according to the user identification and determine the preference information of the user according to the cooked recipe information; then, the recipe information is adjusted according to the preference information of the user to obtain adjusted recipe information; and when the user needs to cook, sending the adjusted recipe information to the cooking machine so that the cooking machine can cook according to the adjusted recipe information. Like this, not only can adjust the recipe according to user's speech data, can also determine user's taste preference according to the recipe information of user's culinary art in the past when the user cooks a certain dish for the first time to adjust the recipe information, obtain the recipe information that accords with user's taste, promote user experience.
EXAMPLE III
An embodiment of the present invention further provides a recipe adjustment method, which is applied to a recipe adjustment system, wherein the recipe adjustment system at least includes: server, cooking machine and pronunciation collection device. The method comprises the following steps:
And step 31, the voice collecting device sends the collected voice data to the cooking machine.
and step 32, carrying out semantic analysis on the received voice data by the cooking machine to acquire keyword information carried by the voice data.
And step 33, the cooking machine determines a first recipe identifier matched with the keyword information.
And step 34, judging whether the first recipe information corresponding to the user identification is stored in the cooking machine.
Here, the first recipe information includes the first recipe identifier. Here, if the first recipe information is stored in the cooking machine, go to step 35; if the first recipe information is not stored in the cooking machine, step 38 is entered.
And step 35, the cooking machine determines the first recipe information as the recipe information matched with the keyword information.
And step 36, judging whether the keyword information meets a preset condition by the cooking machine.
Here, if the keyword information satisfies a preset condition, go to step 37; if the keyword does not satisfy the predetermined condition, go to step 314.
And step 37, the cooking machine adjusts the recipe information according to the keyword information to obtain the adjusted recipe information.
and step 38, if the first recipe information is not stored, the cooking machine sends a request message for acquiring the recipe information to a server.
here, the request message carries a first recipe identifier.
and 39, the server acquires the recipe information matched with the first recipe identifier.
here, after receiving the request message, the server parses the request message, obtains a first recipe identifier carried in the request message, and obtains second recipe information matched with the first recipe identifier from a recipe information base.
The server sends a response message to the cooking machine, step 310.
Here, the response message carries second recipe information.
And 311, determining the preference information of the user according to the cooked recipe information by the cooking machine.
And step 312, adjusting the recipe information according to the preference information of the user to obtain the adjusted recipe information.
step 313, the cooking machine stores the adjusted recipe information.
in step 314, the cooking machine determines whether the user needs to cook.
And 315, if the user needs to cook, the cooking machine cooks according to the adjusted recipe information.
It should be noted that, the implementation manner of the same steps in the embodiment of the present invention may refer to the explanation in other embodiments, except that the execution main body is different from that in other embodiments.
In the recipe adjustment method provided by the embodiment of the invention, firstly, a voice collecting device sends collected voice data to a cooking machine, then the cooking machine carries out semantic analysis on the received voice data, obtains keyword information carried by the voice data and determines a first recipe identifier matched with the keyword information; when first recipe information corresponding to the user identification is stored in the cooking machine, the cooking machine determines the first recipe information as the recipe information matched with the keyword information; when the keyword information meets a preset condition, the cooking machine adjusts the recipe information according to the keyword information to obtain adjusted recipe information; when the first recipe information is not stored in the cooking machine, the cooking machine sends a request message for acquiring the recipe information to a server, and after the recipe information is acquired, the preference information of a user is determined according to the cooked recipe information, so that the recipe information is adjusted according to the preference information of the user, and the adjusted recipe information is obtained; and if the user needs to cook, the cooking machine cooks according to the adjusted recipe information. Like this, not only can adjust the recipe according to user's speech data, can also determine user's taste preference according to the recipe information of user's culinary art in the past when the user cooks a certain dish for the first time to adjust the recipe information, form the special recipe according to user's taste customization, promote user experience.
Example four
The embodiment of the invention provides a method for automatically adjusting recipe parameters through semantic analysis, which is mainly applied to a system consisting of a voice collecting device, an automatic cooking tool embedded with a seasoning box and a cloud server. Fig. 3 is a schematic flow chart illustrating an implementation process of a method for automatically adjusting recipe parameters through semantic parsing according to an embodiment of the present invention, as shown in fig. 3, the method includes the following steps:
It should be noted that the method for automatically adjusting recipe parameters through semantic parsing according to the embodiment of the present invention requires a precondition, that is, the voice collecting device and the automatic cooking tool are bound by an Internet of Things technology (including, but not limited to, narrowband radio technology (Sigfox), Long Term Evolution (Long Term Evolution, LTE) -based Machine-to-Machine technology (LTE-M), cellular-based narrowband Internet of Things (NB-IoT), Zigbee technology (Zigbee), Wireless Local Area Network (WLAN), Long Range Communication (Long Range, ra), Near Field Communication (NFC), bluetooth, and the like).
Step S301, inputting the recipe content wanted to be eaten by the user through the voice collecting device;
Step S302, the voice collecting device uploads the collected/picked up voice data to the cloud;
here, the cloud described in this embodiment is also a cloud server in other embodiments.
Step S303, analyzing the uploaded voice data through a cloud voice semantic analysis algorithm, and translating the voice data into machine language;
Here, the machine voice refers to a character symbol recognizable by a machine, which is obtained by recognizing voice data, and the machine voice may be equivalent to the keyword information in other embodiments.
Step S304, according to the translated data, matching the optimal A recipe from the recipe data set and recommending the A recipe to the user;
Here, according to the translated data, a plurality of recipes matching the translation data may be acquired from the recipe data set, and the best a recipe may be adapted from the recipe data set, the recipe with the largest number of people may be acquired from the recipe data set as the a recipe, or the recipe with the highest score may be acquired from the recipe data set as the a recipe. In addition, the method can also analyze information such as taste preference of the user according to some recipes already done by the user, and adapt the optimal A recipe from the recipe data set according to the taste preference of the user.
here, the recommending to the user may be to issue the basic information of the recipe a to the automatic cooking tool for the user to select whether to confirm the use of the recipe a, and at this time, the automatic cooking tool is required to be provided with a display screen; in addition, the basic information of the A recipe can be sent to a terminal of a user, such as a mobile phone, so that the user can select whether to confirm the use of the A recipe.
Step S305, downloading data (including recipe details, food material parameters, electric control programs and the like) of the recipe A from the cloud to an automatic cooking tool and an embedded seasoning box;
And S306, starting one-key cooking by the user, and cooking by the automatic cooking tool and the embedded seasoning box according to the downloaded recipe data.
Here, the steps S301 to S306 are a process in which the user cooks the a recipe for the first time.
Step S307, in the eating process of the user, the voice collecting device starts to monitor the voice of the user, picks up effective voice data (such as eating evaluation of the recipe A) and uploads the effective voice data to the cloud;
step S308, analyzing the uploaded voice data through a cloud voice semantic analysis algorithm, and translating the voice data into machine language;
Step S309, analyzing the uploaded voice data through a cloud voice semantic analysis algorithm, translating the voice data into machine language, automatically adjusting recipe parameters by combining with the recipe data A, generating a recipe data set exclusive to the user, and storing the recipe data set in the cloud.
here, steps S307 to S309 are procedures in which the user performs the eating feedback.
Step S310, when the user cooks the recipe A again, the adjusted recipe A data (including the recipe details, the food material parameters, the electric control program and the like) are downloaded from the cloud to the automatic cooking tool and the embedded seasoning box;
LOOP: the automatic cooking tool and the embedded seasoning box cook according to the downloaded recipe data, the voice collecting device starts to monitor the voice of the user in the eating process of the user, and effective voice data (such as eating evaluation of the recipe A) are picked up and uploaded to the cloud.
And finally forming a user preference database by continuously carrying out voice acquisition, analysis and learning.
here, step S310 is a process in which the user cooks the a recipe for the second time.
step S311, downloading the most frequently cooked user recipe data (adjusted) from the cloud through data analysis, and storing the data in the local computer; the user can quickly cook favorite recipes.
Here, step S311 is a process in which the cloud server stores recipe data that the user frequently cooks in the cooking machine itself.
fig. 4 is a schematic diagram of a voice listening plus voice picking process according to an embodiment of the present invention, as shown in fig. 4, the process is applied to a voice collection apparatus 401 and a cloud server 402, the process includes recipe feedback 43 and preference collection 44, wherein:
recipe feedback 43: the voice collecting device 401 is synchronous with the recipe data of the automatic cooking tool and monitors the food in the eating process of the user, wherein the feedback comprises the feedback of the flavor of the recipe, the feedback of the chewing preference of the food material, the feedback of the component, the integral evaluation and the like;
Preference collection 44: in the monitoring process, voices related to user preferences are collected and uploaded to the cloud 402, and user pictures (taste preferences of users) are formed in the cloud user data set through continuous collection and learning; and by combining the recipe database, accurate recipe pushing or the recipe parameters are adjusted in advance to form a user preference recipe.
The user says that the user wants to eat the broccoli fried beef, the cloud semantic algorithm is used for analyzing, the taste preference of the user is combined, the most suitable broccoli fried beef recipe is recommended to the user, and the food material component and the seasoning ratio are adjusted according to the user preference. And the user starts cooking by one key according to the recommended recipe, and the cooking tool and the seasoning machine cook according to the appointed electric control program after receiving the cooking instruction.
In other embodiments, when the user inputs the recipe requirement through voice, the taste preference can be added, for example, "i want to eat broccoli fried beef and add piquancy", through semantic analysis, a new recipe can be generated according to the personalized requirement of the user, and the new recipe is pushed to the user.
in the method for automatically adjusting the recipe parameters through semantic analysis provided by this embodiment, the recipe food material parameters including food material components, seasoning and seasoning components, cooking time, taste dimension and the like are automatically adjusted through voice pickup and semantic analysis, a conventional recipe is changed into a recipe belonging to a user, and meanwhile, the recipe of the user is recorded in the cloud, so that reusability of the recipe is improved.
EXAMPLE five
An embodiment of the present invention provides a recipe adjustment apparatus, fig. 5 is a schematic diagram illustrating a composition structure of a four recipe adjustment apparatus according to an embodiment of the present invention, and as shown in fig. 5, the apparatus 500 at least includes: a memory 501 and a processor 502, wherein:
The memory 501 is used for storing a recipe adjusting program;
the processor 502 is configured to execute the recipe adjustment program stored in the memory to implement the following steps:
receiving voice data collected by a voice collecting device;
Performing semantic analysis on the voice data to acquire keyword information carried by the voice data;
acquiring recipe information matched with the keyword information;
And when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
In other embodiments, the recipe information at least includes a recipe identifier, and correspondingly, the obtaining the recipe information matched with the keyword information includes:
Determining a first recipe identifier matched with the keyword information;
Acquiring a user identifier corresponding to the voice data;
Judging whether first recipe information corresponding to the user identifier is stored or not, wherein the first recipe information comprises the first recipe identifier;
And if the first recipe information is stored, determining the first recipe information as the recipe information matched with the keyword information.
in other embodiments, the obtaining recipe information matched with the keyword information further includes:
if the first recipe information is not stored, second recipe information corresponding to the first recipe identification is obtained from a pre-stored standard recipe library;
and determining the second recipe information as the recipe information matched with the keyword information.
In other embodiments, after the step of adjusting the recipe information according to the keyword information when the keyword information meets a preset condition to obtain the adjusted recipe information, the method further includes:
And updating the first recipe information into the adjusted recipe information.
in other embodiments, the recipe information further includes recipe parameters and parameter values corresponding to the recipe parameters, and correspondingly, when the keyword information satisfies a preset condition, the recipe information is adjusted according to the keyword information to obtain adjusted recipe information, including:
when the keyword information meets a preset condition, determining a recipe parameter to be adjusted and an adjustment value corresponding to the recipe parameter to be adjusted according to the keyword information;
If the recipe information comprises the recipe parameters to be adjusted, determining the parameter values of the recipe parameters to be adjusted;
adjusting the recipe information according to the parameter value and the adjustment value to obtain adjusted recipe information;
And if the recipe information does not comprise the recipe parameters to be adjusted, adjusting the recipe information according to the recipe parameters to be adjusted and the adjustment value to obtain the adjusted recipe information.
In other embodiments, the processor 502 is further configured to execute a recipe adjustment program stored in the memory to implement the following steps:
When the keyword information does not meet the preset condition, determining the cooked recipe information of the user according to the user identification;
Determining preference information of a user according to the cooked recipe information;
And adjusting the recipe information according to the preference information of the user to obtain the adjusted recipe information.
in other embodiments, after the step of adjusting the recipe information according to the keyword information when the keyword information meets the preset condition to obtain the adjusted recipe information, the processor 502 is further configured to execute a recipe adjustment program stored in a memory to implement the following steps:
Judging whether the user needs to cook according to the keyword information;
and if the user needs to cook, sending the adjusted recipe information to a cooking machine.
In other embodiments, the processor 502 is further configured to execute a recipe adjustment program stored in the memory to implement the following steps:
Acquiring the times of cooking a first recipe identifier of a user in a preset time period;
And when the times are larger than a preset threshold value, sending the recipe information including the first recipe identification to the cooking machine.
Accordingly, an embodiment of the present invention provides a computer-readable storage medium, on which a recipe adjustment program is stored, and the recipe adjustment program, when executed by a processor, implements the steps of the recipe adjustment method provided by the other embodiments of the present invention.
Here, it should be noted that: the above description of the recipe adjustment apparatus embodiment is similar to the above description of the method embodiment, with similar advantageous effects as the method embodiment. For technical details not disclosed in the embodiments of the recipe adjustment apparatus according to the invention, reference is made to the description of the embodiments of the method according to the invention for understanding.
it should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
it should be noted that, in this document, 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 like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
in addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. a recipe adjustment method, characterized in that the method comprises:
Receiving voice data collected by a voice collecting device;
Performing semantic analysis on the voice data to acquire keyword information carried by the voice data;
acquiring recipe information matched with the keyword information;
And when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
2. the method according to claim 1, wherein the recipe information at least includes a recipe identifier, and correspondingly, the obtaining the recipe information matching the keyword information includes:
determining a first recipe identifier matched with the keyword information;
acquiring a user identifier corresponding to the voice data;
Judging whether first recipe information corresponding to the user identifier is stored or not, wherein the first recipe information comprises the first recipe identifier;
And if the first recipe information is stored, determining the first recipe information as the recipe information matched with the keyword information.
3. the method of claim 2, wherein the obtaining recipe information that matches the keyword information further comprises:
If the first recipe information is not stored, second recipe information corresponding to the first recipe identification is obtained from a pre-stored standard recipe library;
And determining the second recipe information as the recipe information matched with the keyword information.
4. The method according to claim 2, wherein after the step of adjusting the recipe information according to the keyword information when the keyword information satisfies a preset condition to obtain the adjusted recipe information, the method further comprises:
And updating the first recipe information into the adjusted recipe information.
5. the method according to claim 2, wherein the recipe information further includes recipe parameters and parameter values corresponding to the recipe parameters, and correspondingly, when the keyword information satisfies a preset condition, the recipe information is adjusted according to the keyword information to obtain adjusted recipe information, including:
When the keyword information meets a preset condition, determining a recipe parameter to be adjusted and an adjustment value corresponding to the recipe parameter to be adjusted according to the keyword information;
If the recipe information comprises the recipe parameters to be adjusted, determining the parameter values of the recipe parameters to be adjusted;
Adjusting the recipe information according to the parameter value and the adjustment value to obtain adjusted recipe information;
And if the recipe information does not comprise the recipe parameters to be adjusted, adjusting the recipe information according to the recipe parameters to be adjusted and the adjustment value to obtain the adjusted recipe information.
6. The method of claim 2, further comprising:
When the keyword information does not meet the preset condition, determining the cooked recipe information of the user according to the user identification;
Determining preference information of a user according to the cooked recipe information;
And adjusting the recipe information according to the preference information of the user to obtain the adjusted recipe information.
7. the method according to claim 1, wherein after the step of adjusting the recipe information according to the keyword information when the keyword information satisfies a preset condition to obtain the adjusted recipe information, the method further comprises:
judging whether a user needs to cook or not;
And if the user needs to cook, sending the adjusted recipe information to a cooking machine.
8. the method according to any one of claims 1-6, further comprising:
acquiring the times of cooking a first recipe identifier of a user in a preset time period;
and when the times are larger than a preset threshold value, sending the recipe information including the first recipe identification to the cooking machine.
9. a recipe adjustment device, characterized in that the device comprises at least: a memory and a processor, wherein:
the memory is used for storing a recipe adjusting program;
The processor is used for executing the recipe adjusting program stored in the memory to realize the following steps:
Receiving voice data collected by a voice collecting device;
Performing semantic analysis on the voice data to acquire keyword information carried by the voice data;
acquiring recipe information matched with the keyword information;
And when the keyword information meets a preset condition, adjusting the recipe information according to the keyword information to obtain the adjusted recipe information.
10. A computer readable storage medium having a recipe adjustment program stored thereon, which when executed by a processor implements the steps of the recipe adjustment method as claimed in claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810568371.8A CN110569348A (en) | 2018-06-05 | 2018-06-05 | recipe adjusting method and device and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810568371.8A CN110569348A (en) | 2018-06-05 | 2018-06-05 | recipe adjusting method and device and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110569348A true CN110569348A (en) | 2019-12-13 |
Family
ID=68772650
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810568371.8A Withdrawn CN110569348A (en) | 2018-06-05 | 2018-06-05 | recipe adjusting method and device and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110569348A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111241292A (en) * | 2019-12-27 | 2020-06-05 | 珠海格力电器股份有限公司 | Menu recommendation method and device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104730931A (en) * | 2015-03-12 | 2015-06-24 | 青岛海尔智能家电科技有限公司 | Cate interaction system and gourmet recipe generating method |
| US20150294225A1 (en) * | 2014-04-11 | 2015-10-15 | Panasonic Intellectual Property Management Co., Ltd. | Recipe information processing apparatus, cooking apparatus, and recipe information processing method |
| CN106055648A (en) * | 2016-05-31 | 2016-10-26 | 北京小米移动软件有限公司 | Cookbook determining method and device, and device for determining cookbook |
| CN106302044A (en) * | 2016-08-12 | 2017-01-04 | 美的集团股份有限公司 | A kind of household electric appliance control method, household electrical appliances and appliance control system |
| CN106485052A (en) * | 2016-09-14 | 2017-03-08 | 珠海优特物联科技有限公司 | A kind of intelligent cooking system and method |
| CN106539483A (en) * | 2015-09-17 | 2017-03-29 | 深圳会当科技有限公司 | A kind of intelligent cooking equipment |
| CN107610751A (en) * | 2017-09-30 | 2018-01-19 | 广东美的厨房电器制造有限公司 | The control method and intelligent kitchen scale of intelligent kitchen scale |
-
2018
- 2018-06-05 CN CN201810568371.8A patent/CN110569348A/en not_active Withdrawn
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150294225A1 (en) * | 2014-04-11 | 2015-10-15 | Panasonic Intellectual Property Management Co., Ltd. | Recipe information processing apparatus, cooking apparatus, and recipe information processing method |
| CN104730931A (en) * | 2015-03-12 | 2015-06-24 | 青岛海尔智能家电科技有限公司 | Cate interaction system and gourmet recipe generating method |
| CN106539483A (en) * | 2015-09-17 | 2017-03-29 | 深圳会当科技有限公司 | A kind of intelligent cooking equipment |
| CN106055648A (en) * | 2016-05-31 | 2016-10-26 | 北京小米移动软件有限公司 | Cookbook determining method and device, and device for determining cookbook |
| CN106302044A (en) * | 2016-08-12 | 2017-01-04 | 美的集团股份有限公司 | A kind of household electric appliance control method, household electrical appliances and appliance control system |
| CN106485052A (en) * | 2016-09-14 | 2017-03-08 | 珠海优特物联科技有限公司 | A kind of intelligent cooking system and method |
| CN107610751A (en) * | 2017-09-30 | 2018-01-19 | 广东美的厨房电器制造有限公司 | The control method and intelligent kitchen scale of intelligent kitchen scale |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111241292A (en) * | 2019-12-27 | 2020-06-05 | 珠海格力电器股份有限公司 | Menu recommendation method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11102851B2 (en) | Method for voice control on microwave oven, and microwave oven | |
| CN104461501B (en) | Cloud intelligent cooking method, cloud intelligent cooking equipment and cloud server | |
| CN104146586B (en) | The method of work of a kind of intelligent cooking equipment and intelligent cooking equipment | |
| CN104473556A (en) | Method and device for controlling cooking device and cooking device | |
| CN110045638B (en) | Cooking information recommendation method and device and storage medium | |
| CN106560829B (en) | Cooking recipe providing method and cooking recipe providing system | |
| CN106485052A (en) | A kind of intelligent cooking system and method | |
| US8990274B1 (en) | Generating a presentation associated with a set of instructions | |
| CN108447543A (en) | Menu method for pushing based on cooking equipment and device | |
| CN109683516B (en) | Auxiliary cooking method, household appliance and computer storage medium | |
| CN107452376A (en) | A kind of method cooked by Voice command | |
| CN111105820A (en) | Menu broadcasting method, system, storage medium and electronic device | |
| CN208957616U (en) | Cooking utensil and control system and server thereof | |
| CN110569348A (en) | recipe adjusting method and device and readable storage medium | |
| KR20180067075A (en) | System and method for producing cooking recipe | |
| CN111048126B (en) | Menu broadcasting method, storage medium and electronic device | |
| CN106951541B (en) | Cooking information recommending and acquiring method and device | |
| CN107851094A (en) | menu generating system | |
| KR101990742B1 (en) | System and method for producing cooking recipe | |
| CN111061891A (en) | Image recognition menu development method, terminal and readable storage medium | |
| CN114893946B (en) | Food storage device and intelligent cooking method | |
| CN108134809A (en) | A kind of methods, devices and systems of information push | |
| JP6989683B2 (en) | Voice controlled cookware platform | |
| CN110794698B (en) | Control method and control device of cooking equipment and cooking equipment | |
| WO2019171618A1 (en) | Cooking information system and server |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20191213 |