CN111538253A - Intelligent kitchen system based on voice recognition - Google Patents
Intelligent kitchen system based on voice recognition Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention relates to the technical field of smart home, in particular to an intelligent kitchen system based on voice recognition, which comprises a voice instruction subsystem, wherein the voice instruction subsystem is used for receiving voice information and judging whether a voice logo exists in the voice information or not, when the voice logo exists, a voice instruction is generated according to the voice information, when the voice instruction is generated, control information for controlling each device is generated according to the voice instruction, the voice instruction subsystem is also used for generating a search instruction according to the voice information, when the search instruction is generated, searching is carried out according to the search instruction to obtain search information, and when the search information is obtained, a playing signal is generated. By adopting the scheme, the technical problems that in the prior art, people with less experience in cooking dishes and people trying to cook new dishes cannot conveniently view menu information in the cooking process are solved.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to an intelligent kitchen system based on voice recognition.
Background
The kitchen is indispensable for each family, but not everyone has experience and the score of every day of cooking, so in the face of the crowd with less experience of cooking, and the crowd who tries to cook new dishes, the intelligent kitchen system can greatly improve the success rate of dishes and the interest of users in cooking. The triggering or the opening of the existing intelligent kitchen system are all started in a touch or key mode, and all the triggering or the opening needs the hand of a user to operate, but when the kitchen is used for cooking, water, sauce or oil stains are always stained on the hand, and the intelligent kitchen system is very inconvenient to open under the condition.
Therefore, in the prior art, the intelligent kitchen system is more convenient to use for liberating the hands of the user, the voice recognition function is added, and the intelligent kitchen system is automatically started through the awakening words in the recognized voice. Meanwhile, in the use process of the intelligent kitchen system, the voice of a user can be identified, so that the use of kitchen equipment such as a kitchen range, a smoke exhaust ventilator and the like can be controlled. However, for people with less experience in cooking and people trying to cook new dishes, due to unfamiliarity with cooking steps and the amount of seasonings, the recipe needs to be checked during cooking, so that the cooking process is often in a busy and disorderly state, resulting in failure of the final dishes and even injury to users or kitchen accidents.
Disclosure of Invention
The invention aims to provide an intelligent kitchen system based on voice recognition, and aims to solve the technical problems that in the prior art, people with less experience in cooking dishes and people trying to cook new dishes cannot conveniently check a menu in the cooking process.
The basic scheme provided by the invention is as follows: the intelligent kitchen system based on voice recognition comprises a voice instruction subsystem, wherein the voice instruction subsystem is used for receiving voice information and judging whether the voice information contains a voice mark or not, when the voice mark exists, a voice instruction is generated according to the voice information, when the voice instruction is generated, control information for controlling each device is generated according to the voice instruction, the voice instruction subsystem is further used for generating a search instruction according to the voice information, when the search instruction is generated, searching is carried out according to the search instruction to obtain search information, the search information comprises dish making information, and a playing signal is generated when the dish making information is obtained.
Description of the nouns: the voice mark language is a wake-up word for waking up the voice instruction function generated according to the voice information; the devices refer to various controllable devices in a kitchen, such as a kitchen range, a range hood, an illuminating lamp and the like.
The basic scheme has the beneficial effects that:
1. the voice sign language is set as a wake-up word for waking up the voice instruction function generated according to the voice information, the mode of touch or key pressing is still adopted when the user has no voice demand, the operation required by the user can be quickly executed, and when the user has the voice demand, the function of the voice instruction is woken up through the voice sign language, so that each device is controlled by voice. This is because speech recognition needs certain discernment time, can accomplish the required operation of user fast through touch or button when no pronunciation demand, can be convenient when having the pronunciation demand accomplish the required operation of user through speech recognition, promotes the user and does the experience of dish and feels, and the condition of the in-process in the dish of convenience of customers' operation is in disorder is avoided making.
2. When the user is a crowd with less experience in cooking dishes and a crowd trying to cook new dishes, the search instruction is generated according to the voice information, the search information can be searched and obtained through setting of the search instruction, the search information can be used for cooking the dishes, and the user is assisted to cook the dishes through the dish cooking information.
3. The playing signal is generated when the dish making information is obtained, namely, the playing is automatically generated when the dish making information is obtained, a user does not need to control the playing in a touch mode, a key mode or a voice mode, the control behavior of the user in the dish making process is reduced, and therefore the user can check the dish making information conveniently in the dish making process.
Further, the voice instruction subsystem comprises a search acquisition module, the search instruction comprises a dish name, and the search acquisition module is used for searching in the pre-stored menu information according to the dish name in the search instruction to acquire dish making information when receiving the search instruction.
Description of the nouns: the menu information refers to the production information of various dishes prestored in the system, and each dish only has unique production information.
Has the advantages that: the menu information is pre-stored, so that a user can conveniently and quickly search the dish making information, and the time spent by the user in searching the menu is shortened.
The voice command subsystem comprises a menu sending module, the menu sending module is used for sending the preparation step and the plurality of cooking steps to the video display terminal when receiving a playing signal, timing is started, when the timing reaches the preparation time, the first cooking step is sent to the video display terminal, timing is restarted, when the timing reaches the operation time corresponding to the first cooking step, the next cooking step is sent to the video display terminal until the last cooking step is sent to the video display terminal, timing is restarted, and when the timing reaches the operation time corresponding to the last cooking step, an ending signal is generated.
Has the advantages that: the dish making information comprises a preparation step and preparation time length, a plurality of dish making steps arranged in sequence and corresponding operation time length, and the preparation step and the preparation time length are set, so that a user can conveniently prepare and arrange materials required by dishes. The menu sending module is used for sending the preparation step and the plurality of cooking steps to the video display terminal when receiving the playing signal, starting timing, wherein the timing process is the preparation process, the preparation step and the plurality of cooking steps are simultaneously sent to the video display terminal, and a user can conveniently know the whole cooking process before cooking. The cooking steps are sequentially sent to the video display terminal according to the manufacturing sequence, and a user only needs to make the food according to the cooking steps each time, so that the interference of the rest cooking steps in the manufacturing process is reduced. When the timing reaches the operation duration corresponding to the last dish making step, the whole dish making is completed, and an end signal is generated to remind the system and the user.
Further, the video display terminal comprises a menu display module and a step reminding module, wherein the menu display module is used for displaying the preparation step and the cooking step, and the step reminding module is used for playing the preparation step and the cooking step. Has the advantages that: the preparation step and the cooking step are displayed through the menu display module, so that a user can conveniently check the steps. Through the step reminding module, the preparation step and the cooking step are played, and when the current cooking step is completed, a user is reminded of the next cooking step in time.
The voice command subsystem is also used for judging whether the voice information has the classification mark words or not, and generating a classification signal and sending the classification signal to the classification management subsystem when the classification mark words exist; the classification management subsystem is used for generating an image acquisition signal when receiving the classification signal, receiving an image to be classified acquired according to the image acquisition signal, and generating garbage information to be classified to which the object in the image to be classified belongs according to the image to be classified.
Various kinds of garbage such as paper boxes, plastic bags, residues of vegetables and fruits and the like are generated in a kitchen, and under the current trend of garbage classification, the types of the garbage generated in the kitchen are the largest, and the classification is also the most difficult, such as toilet paper, chewing gum, rice dumpling leaves, hard shells, and large bones which are frequently used in used waste paper and stew soup, which are easily confused in the classification process.
Description of the nouns: the classification mark words refer to awakening words for awakening the garbage classification recognition function; the image to be classified is an image containing an article whose garbage classification is unclear by the user.
Has the advantages that: and the setting of the classification mark words awakens the garbage classification recognition function when the garbage classification of the user is not clear, so as to guide the user to carry out correct garbage classification. The image to be classified comprises articles which are not clear in garbage classification of the user. The classification management subsystem carries out garbage classification recognition on the articles in the image to be classified under the condition of awakening the garbage classification recognition function, namely, the articles with uncertain garbage classification of the user are subjected to garbage classification recognition, so that the user is assisted to carry out correct garbage classification.
Further, the classification management subsystem is used for receiving the actual classification images and the classification numbers, acquiring actual garbage classification information of the articles in the actual classification images according to the actual classification images, and judging whether garbage classification is correct or not according to the actual garbage classification information and the classification numbers.
Description of the nouns: the actual classification image is an image containing articles thrown into the classification garbage can by a user; the classification number refers to the number of the classification trash can, for example, the number of the recyclable trash can is 001, and the number of the kitchen waste trash can is 002.
Has the advantages that: the garbage actual classification information of the articles discarded by the user in the actual classification image is acquired through the classification management subsystem, whether the garbage classification of the user is correct or not is judged according to the garbage actual classification information and the classification serial number, and subsequently, reward and punishment can be carried out according to the garbage classification condition of the user, so that the user is prompted to learn and master the correct garbage classification.
Further, the classification management subsystem comprises an image recognition module and a classification screening module, the image recognition module is used for carrying out image recognition on the actual classification image to obtain the article information in the actual classification image, and the classification screening module is used for screening out the actual garbage classification information according to the article information from a pre-stored article classification information table.
Description of the nouns: the item classification information table is a mapping table including items having a mapping relationship and garbage classifications to which the items belong.
Has the advantages that: and the image recognition module is arranged for carrying out image recognition on the articles in the actually classified image so as to obtain the articles which are not clearly classified by the user. The classification screening module is arranged to acquire corresponding actual garbage classification information according to the identified articles, namely, the garbage classification of the articles in the actual classification image is acquired, so that whether each article discarded by a user is correctly classified is judged.
Further, the classification management subsystem comprises an image matching module, the image matching module is used for matching the actual classification image with the image to be classified, and when a matching item exists, the garbage information to be classified corresponding to the image to be classified is obtained and used as the garbage actual classification information.
Has the advantages that: the image matching module is arranged to directly match the actual classified image with the image to be classified, so that the actual garbage classification information corresponding to the actual classified image is rapidly acquired. For the articles which are subjected to garbage classification identification by the user through the classification management subsystem, the garbage classification to which the articles belong is directly obtained without carrying out the operations of article identification, classification screening and the like again, and the system response time is shortened.
Further, the classification management subsystem is used for acquiring article information in the images to be classified according to the images to be classified, counting the article information, and marking the article information and generating prompt information when the counting frequency of any article information reaches a preset counting threshold value; the classification management subsystem is further configured to generate penalty information when the obtained item information is tagged.
Description of the nouns: the statistical threshold value refers to the upper limit of times that the classification management subsystem identifies the same article; the prompt message is a message for reminding a user that the same or similar articles are identified for multiple times; the penalty information refers to information generated by a user who performs object identification on the same or similar objects for multiple times, namely the user only relies on the classification management subsystem to perform garbage classification identification and does not learn related knowledge of garbage classification, and therefore, the penalty information is, for example, fine, deduct personal points of the user, and the like.
Has the advantages that: the article information in the image to be classified is counted, when the counting frequency of any article information reaches the counting threshold value, the user does not learn or know the garbage classification condition of the article corresponding to the article information, and the user only relies on the classification management subsystem to perform garbage classification identification, so that the user is not facilitated to master the related knowledge of garbage classification. The punishment information can prompt a user to learn the garbage classification knowledge of the marked article information corresponding to the article, so that correct garbage classification is realized, and the garbage classification knowledge is popularized.
Furthermore, the classification management subsystem is also used for starting timing when receiving the classification signal, timing again when judging that the garbage classification is wrong or receiving the classification signal again, and generating shared or rented reminding information when the timing reaches a preset time threshold value.
Description of the nouns: the reminding information refers to information generated when the user does not use the garbage classification recognition function for a long time and the discarded articles are all subjected to correct garbage classification.
Has the advantages that: whether a user does not use the garbage classification recognition function for a long time or not and whether the discarded articles are classified correctly by garbage classification is judged by timing, if yes, the user knows the garbage classification knowledge, the user does not need to assist in garbage classification any more, and at the moment, reminding information is generated to remind the user to lease or share related devices for assisting in garbage classification, so that other users can learn correct garbage classification and garbage classification knowledge.
Drawings
FIG. 1 is a logic block diagram of a first embodiment of an intelligent kitchen system based on speech recognition according to the present invention;
FIG. 2 is a logic block diagram of a third embodiment of the intelligent kitchen system based on speech recognition according to the present invention;
fig. 3 is a logic block diagram of a fourth embodiment of the intelligent kitchen system based on speech recognition.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
An intelligent kitchen system based on voice recognition is shown in figure 1 and comprises a voice acquisition terminal, a video display terminal, a voice instruction subsystem and a database, wherein menu information is stored in the database, the menu information is menu making information of various menus, and each menu only has unique menu making information.
The voice acquisition terminal is used for acquiring the voice information of the user in real time and uploading the voice information to the voice instruction subsystem.
The voice instruction subsystem comprises a sign judgment module, an instruction generation module, an equipment control module and a search acquisition module.
The sign judging module is used for judging whether the voice information has the voice sign language, generating a voice recognition signal when the voice sign language exists, and sending the voice recognition signal to the instruction generating module. In this embodiment, the voice flag is preset in the system, such as "Xiao A", and in other embodiments, the voice flag can be set by the user.
The command generation module is used for carrying out voice recognition on voice information by utilizing a voice recognition technology to generate a voice command or a search command when receiving the voice recognition signal, sending the voice command to the equipment control module, and sending the search command to the search acquisition module. In this embodiment, a voice command and a search command are distinguished by setting a command keyword, for example, the command keyword is a search, when the command generated according to the voice information includes a search command, the generated command is the search command, otherwise, the command is the voice command. The voice command refers to a command for controlling each device in the kitchen, such as turning on or off the kitchen range, turning down or turning up the fire of the kitchen range, turning on or off the range hood, turning down or turning up the suction of the range hood, turning on or off the illumination, and the like. The search command is a command for controlling the system to search for related information, for example, a method of searching for a certain dish, a method of searching for a certain movie, a method of searching for a certain MV, and the like.
And the equipment control module is used for generating control information for controlling each equipment according to the voice instruction when receiving the voice instruction and controlling the equipment according to the control information. For example, when the voice command is to turn on the range hood, the generated control information is a starting signal of the range hood, and the range hood is turned on according to the starting signal. In the embodiment, all the devices in the kitchen are integrated into a kitchen system, namely all the devices in the kitchen can be controlled by the system, in other embodiments, all the devices in the kitchen can be in signal connection with the system, and the system realizes the control of all the devices by sending the generated control information to all the devices.
In this embodiment, the search instruction includes a dish name, the search acquisition module is configured to search and acquire search information from the menu information in the database according to the dish name in the search instruction when receiving the search instruction, the search information includes dish making information, and the search acquisition module is further configured to generate a play signal when acquiring the dish making information, and send the play signal and the dish making information to the video display terminal. And the video display terminal is used for directly displaying and playing the dish making information when receiving the playing signal.
In other embodiments, the search instruction includes a name, and the search acquisition module is configured to search and acquire search information from the network according to the name in the search instruction, where the search information includes a video resource, and send the video resource to the video display terminal for the user to select to play.
Example two
The difference between the present embodiment and the first embodiment is:
the voice command subsystem also comprises a menu sending module which sends the dish making information to the video display terminal in stages.
The dish making information comprises a preparation step and a preparation time length, a plurality of cooking steps arranged in sequence and corresponding operation time lengths, the preparation step and the preparation time length are used for a user to prepare related materials, the cooking step and the corresponding operation time lengths are used for the user to cook at corresponding stages, and the cooking steps are arranged in a cooking sequence.
The search acquisition module is used for sending the playing signal and the dish making information to the menu sending module. The menu sending module is used for sending the preparation step and the plurality of cooking steps to the video display terminal when receiving the playing signal, starting timing, sending the cooking step with the first order to the video display terminal when the timing reaches the preparation time length, restarting the timing, sending the next cooking step to the video display terminal when the timing reaches the operation time length corresponding to the cooking step with the first order until the cooking step with the last order is sent to the video display terminal, restarting the timing, and generating an ending signal and sending the ending signal to the video display terminal when the timing reaches the operation time length corresponding to the cooking step with the last order.
The video display terminal comprises a menu display module and a step reminding module, when the video display terminal receives the preparation step and the plurality of cooking steps, the menu display module is used for displaying the preparation step and the cooking step, and the step reminding module is used for playing the preparation step and the cooking step. When the video display terminal receives the step of cooking, the menu display module is used for the step of cooking, and the step reminding module is used for playing the step of cooking. When the video display terminal receives the ending signal, the menu display module is used for displaying the ending signal, and the step reminding module is used for playing the ending signal.
EXAMPLE III
The difference between the present embodiment and the first embodiment is:
the intelligent kitchen system based on voice recognition, as shown in fig. 2, further includes a classification management subsystem and a classification guidance terminal. The database also prestores an article classification information table, wherein the article classification information table refers to a mapping table comprising articles with mapping relations and garbage classifications to which the articles belong.
The sign judgment module is further configured to judge whether a classification sign exists in the voice message, generate a classification signal when the classification sign exists, and send the classification signal to the classification management subsystem, where the classification sign is preset in the embodiment.
The classification management subsystem comprises an image identification module and a classification screening module.
And the image identification module is used for generating an image acquisition signal when receiving the classification signal and sending the image acquisition signal to the classification guidance terminal. And the classification guidance terminal is used for acquiring an image to be classified by photographing when receiving the image acquisition signal and feeding back the image to be classified to the classification management subsystem. The image to be classified is an image containing an article whose garbage classification is unclear by the user. The image identification module is also used for carrying out image identification on the image to be classified to acquire the article information in the image to be classified. The classification screening module is used for screening the garbage to-be-classified information to which the article information belongs from the article classification information table in the database according to the article information and sending the garbage to-be-classified information to the classification guidance terminal. The classification guidance terminal is used for displaying the information to be classified of the garbage so as to enable a user to carry out correct garbage classification.
In this embodiment, the classification guidance terminal may be integrated in a kitchen device, and when a user has an article with an indefinite garbage classification, the classification management subsystem is triggered by voice information and the article is placed in front of the classification guidance terminal, thereby realizing image acquisition of the article to be classified. In other embodiments, the classification guidance terminal may also be an intelligent device with a photographing function, such as a camera or a mobile phone, and the intelligent device is used for displaying when receiving an image acquisition signal, and at this time, a user places an article in a photographing area, so as to acquire an image to be classified of the article.
Example four
The present embodiment is different from the third embodiment in that:
the intelligent kitchen system based on voice recognition further comprises a garbage classification terminal as shown in fig. 3, and a mapping relation between a classification number and garbage classification is prestored in a database.
The garbage classification terminal is integrated in the categorised garbage bin in the kitchen, and the garbage classification terminal has unique categorised serial number, and in this embodiment, there are four types of categorised garbage bins in total: recoverable garbage bin, kitchen garbage bin, harmful garbage bin and other garbage bins, the categorised serial number of categorised garbage bin is 001 to 004 respectively.
When a user drops an item into the sorting receptacle, the waste sorting terminal is triggered. The garbage classification terminal is used for acquiring the actual classification images and uploading the classification numbers and the actual classification images to the classification management subsystem. The actual classification image is the image containing the items that the user has dropped into the classification trash can.
The classification management subsystem also includes a classification matching module.
The image identification module is also used for carrying out image identification on the actual classified image to acquire the article information in the actual classified image when the actual classified image is received. The classification screening module is also used for screening the actual garbage classification information to which the article information belongs from the article classification information table in the database according to the article information. In another embodiment, the classification management subsystem further comprises an image matching module, wherein the image matching module is used for matching the actual classification image with the image to be classified, and when a matching item exists, the garbage information to be classified corresponding to the image to be classified is obtained and used as the garbage actual classification information.
And the classification matching module is used for acquiring corresponding garbage classification from the database according to the classification number, matching the garbage classification with the actual garbage classification information, generating a correct garbage classification signal when a matching item exists, and otherwise, generating an incorrect garbage classification signal.
EXAMPLE five
The present embodiment is different from the fourth embodiment in that,
the classification management subsystem further comprises a classification statistical module and a reward and punishment module, wherein a statistical threshold value is preset in the classification statistical module, and the statistical threshold value is 6 times in the embodiment.
The classification counting module is used for counting the article information in the image to be classified acquired according to the image to be classified, the counting frequency of any article information in the initial state is 0, and when the counting frequency of any article information reaches a counting threshold value, the article information is marked, prompt information is generated and sent to the classification guidance terminal. The classification guidance terminal is used for displaying prompt information to remind a user to pay attention to learning or know the garbage classification knowledge of the article information.
And the reward and punishment module is also used for generating reward and punishment information and sending the reward and punishment information to the classification guidance terminal when the article information in the image to be classified acquired by the image identification module is marked. In this embodiment, the reward and punishment information is a small penalty, such as 2 yuan.
EXAMPLE six
The present embodiment is different from the fourth embodiment in that:
the classification management subsystem further includes a timing module, and the timing module is preset with a time threshold, in this embodiment, the time threshold is 30 days.
The timing module is used for starting timing when receiving the classification signal, resetting the timing to zero and timing again when the classification matching module generates a garbage classification error signal or receives the classification signal again, and generating shared or rented reminding information when the timing reaches a time threshold value.
When the user does not conduct garbage classification guidance within 30 days and the garbage classification is all correct, the user is indicated to have fully mastered the garbage classification knowledge, and at the moment, the user can rent or share related equipment for guiding the garbage classification to help other users to learn the garbage classification knowledge.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Intelligent kitchen system based on speech recognition, including voice command subsystem, voice command subsystem is used for receiving voice message to judge whether there is voice sign in the voice message, when there is voice sign, according to voice message generation voice command, when generating voice command, according to the control information of voice command generation control each equipment, its characterized in that: the voice instruction subsystem is also used for generating a search instruction according to the voice information, searching according to the search instruction to acquire search information when the search instruction is generated, wherein the search information comprises dish making information, and generating a playing signal when the dish making information is acquired.
2. The intelligent kitchen system based on speech recognition according to claim 1, characterized in that: the voice instruction subsystem comprises a search acquisition module, the search instruction comprises a dish name, and the search acquisition module is used for searching in pre-stored menu information according to the dish name in the search instruction to acquire dish making information when receiving the search instruction.
3. The intelligent kitchen system based on speech recognition according to claim 1, characterized in that: the voice command subsystem comprises a menu sending module, the menu sending module is used for sending the preparation step and the plurality of cooking steps to the video display terminal when receiving a playing signal, timing is started, when the timing reaches the preparation time, the first cooking step is sent to the video display terminal, timing is restarted, when the timing reaches the operation time corresponding to the first cooking step, the next cooking step is sent to the video display terminal until the last cooking step is sent to the video display terminal, timing is restarted, and when the timing reaches the operation time corresponding to the last cooking step, an ending signal is generated.
4. The intelligent kitchen system based on speech recognition according to claim 3, characterized in that: the video display terminal comprises a menu display module and a step reminding module, wherein the menu display module is used for displaying the preparation step and the cooking step, and the step reminding module is used for playing the preparation step and the cooking step.
5. The intelligent kitchen system based on speech recognition according to claim 1, characterized in that: the voice command subsystem is also used for judging whether the voice information has the classification mark words or not, and generating a classification signal and sending the classification signal to the classification management subsystem when the classification mark words exist; the classification management subsystem is used for generating an image acquisition signal when receiving the classification signal, receiving an image to be classified acquired according to the image acquisition signal, and generating garbage information to be classified to which the object in the image to be classified belongs according to the image to be classified.
6. The intelligent kitchen system based on speech recognition according to claim 5, characterized in that: the classification management subsystem is also used for receiving the actual classification images and the classification numbers, acquiring actual garbage classification information of the articles in the actual classification images according to the actual classification images, and judging whether garbage classification is correct or not according to the actual garbage classification information and the classification numbers.
7. The intelligent kitchen system based on speech recognition according to claim 6, characterized in that: the classification management subsystem comprises an image recognition module and a classification screening module, the image recognition module is used for carrying out image recognition on the actual classification images to obtain the article information in the actual classification images, and the classification screening module is used for screening out the actual garbage classification information according to the article information from a pre-stored article classification information table.
8. The intelligent kitchen system based on speech recognition according to claim 6, characterized in that: the classification management subsystem comprises an image matching module, the image matching module is used for matching the actual classification image with the image to be classified, and when a matching item exists, the garbage information to be classified corresponding to the image to be classified is obtained and used as the actual garbage classification information.
9. The intelligent kitchen system based on speech recognition according to claim 6, characterized in that: the classification management subsystem is also used for acquiring article information in the images to be classified according to the images to be classified, counting the article information, and marking the article information and generating prompt information when the counting frequency of any article information reaches a preset counting threshold value; the classification management subsystem is further configured to generate penalty information when the obtained item information is tagged.
10. The intelligent kitchen system based on speech recognition according to claim 6, characterized in that: the classification management subsystem is also used for starting timing when receiving the classification signal, timing again when judging that the garbage classification is wrong or receiving the classification signal again, and generating shared or rented reminding information when the timing reaches a preset time threshold.
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