WO2023060917A1 - Procédé et appareil de commande vocale de climatiseur, serveur en nuage et support d'enregistrement - Google Patents

Procédé et appareil de commande vocale de climatiseur, serveur en nuage et support d'enregistrement Download PDF

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Publication number
WO2023060917A1
WO2023060917A1 PCT/CN2022/097079 CN2022097079W WO2023060917A1 WO 2023060917 A1 WO2023060917 A1 WO 2023060917A1 CN 2022097079 W CN2022097079 W CN 2022097079W WO 2023060917 A1 WO2023060917 A1 WO 2023060917A1
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WIPO (PCT)
Prior art keywords
information
air conditioner
user
voice
current
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PCT/CN2022/097079
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English (en)
Chinese (zh)
Inventor
李艳春
李恒元
路炎
郭继宾
封荣杰
Original Assignee
海尔(深圳)研发有限责任公司
青岛海尔空调器有限总公司
青岛海尔空调电子有限公司
海尔智家股份有限公司
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Publication of WO2023060917A1 publication Critical patent/WO2023060917A1/fr

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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/28—Constructional details of speech recognition systems
    • G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification techniques
    • G10L17/22—Interactive procedures; Man-machine interfaces
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command

Definitions

  • the present application relates to the technical field of air conditioners, for example, to methods, devices, cloud servers and storage media for voice air conditioner control.
  • air conditioners have many intelligent functions, such as: voice control, remote control and so on.
  • samples of air conditioner usage information can be collected for big data learning, resulting information on usage habits matching the air conditioner can be obtained, and can be recommended to users for selection.
  • Embodiments of the present disclosure provide a method, device, cloud server, and storage medium for voice air-conditioning control, so as to solve the technical problem that the intelligence of air-conditioning control needs to be improved.
  • the method includes:
  • Analyzing the voice wake-up command of the current user obtaining the voiceprint identification information of the current user, and determining the identity information of the current user matching the voiceprint identification information of the current user;
  • the current air conditioner control instruction information is generated according to the current user's air conditioner use behavior learning result information
  • the device for voice air conditioning control includes:
  • the voice platform module is configured to receive the current user's voice wake-up command sent by the air conditioner; analyze the current user's voice wake-up command to obtain the current user's voiceprint identification information, and determine the current user identity matching the current user's voiceprint identification information information;
  • the data platform module is configured to send the learning result information of the current user's air conditioner use behavior when the learning result information of the current user's air conditioner use behavior matching the current user identity information is obtained;
  • the air conditioner control platform module is configured to generate current air conditioner control instruction information according to the received learning result information of the current user's air conditioner usage behavior, and send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.
  • the device for voice air-conditioning control includes a processor and a memory storing program instructions, and the processor is configured to execute the above method for voice air-conditioning control when executing the program instructions. .
  • the cloud server includes the above-mentioned device for voice air conditioning control.
  • the storage medium stores program instructions, and when the program instructions are run, execute the above method for voice air conditioning control.
  • the method, device, cloud server, and storage medium for voice air conditioning control provided by the embodiments of the present disclosure can achieve the following technical effects:
  • the user's identity information can be matched, so that the user's air conditioner usage behavior learning result information after big data learning that matches the user's identity information can be obtained, and the corresponding air conditioner control command information can be generated to control the operation of the air conditioner , Realize the recognition of user identity information by voice and voiceprint, and automatically control the air conditioner according to the user's air conditioner usage behavior, which improves the intelligence of air conditioner control and improves the user experience.
  • FIG. 1 is a schematic flowchart of a voice air conditioning control method provided by an embodiment of the present disclosure
  • Fig. 2 is a schematic structural diagram of a device for voice air conditioning control provided by an embodiment of the present disclosure
  • Fig. 3 is a schematic structural diagram of a device for voice air conditioning control provided by an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of a signaling flow for a method for voice air conditioning control provided by an embodiment of the present disclosure
  • Fig. 5 is a schematic structural diagram of a device for voice air conditioning control provided by an embodiment of the present disclosure.
  • A/B means: A or B.
  • a and/or B means: A or B, or, A and B, these three relationships.
  • the cloud server can be configured with a big data learning model, so that the learning result information of the user's air conditioner use behavior corresponding to the user identity information can be obtained through big data learning, and saved, so that the air conditioner is awakened by the user's voice
  • the user's identity information can be matched to the user's voiceprint identification information, thereby obtaining the user's air-conditioning use behavior learning result information after big data learning that matches the user's identity information, and can generate corresponding air-conditioning control command information control
  • the operation of the air conditioner realizes voice recognition of user identity information and automatic control of the air conditioner according to the user's air conditioner usage behavior, which improves the intelligence of air conditioner control and user experience.
  • the air conditioner is an air conditioner with a voice function, that is, the air conditioner carries a voice module, so that the cloud server may have a voice platform module, which can perform voice signaling interaction with the air conditioner, and voice management, etc.
  • the cloud server can be configured with a big data learning model to learn the user's air conditioner use behavior and obtain corresponding learning result information. Therefore, the cloud server can also include a data platform module.
  • the cloud server can also have an air-conditioning control platform module, which can remotely control and manage the air-conditioning.
  • These platform modules can be virtual functional modules, or they can be specifically server equipment, and the platform modules can communicate with each other to realize voice air conditioning control.
  • Fig. 1 is a schematic flow chart of a voice air conditioning control method provided by an embodiment of the present disclosure. As shown in Figure 1, the voice air conditioning control process includes:
  • Step 101 Receive the current user voice wake-up instruction sent by the air conditioner.
  • the air conditioner has a voice function. Therefore, after the user sends a voice wake-up command, the voice module in the air conditioner can send the received voice wake-up command from the current user to the cloud server, so that the cloud server can receive the voice wake-up command of the air conditioner. The voice wake-up command sent by the current user.
  • the cloud server includes a voice platform module, such as a voice artificial intelligence (AI) platform device, so that the voice platform module receives the current user's voice wake-up command sent by the air conditioner.
  • a voice platform module such as a voice artificial intelligence (AI) platform device, so that the voice platform module receives the current user's voice wake-up command sent by the air conditioner.
  • AI voice artificial intelligence
  • Step 102 Analyze the voice wake-up command of the current user to obtain the voiceprint identification information of the current user, and determine the identity information of the current user matching the voiceprint identification information of the current user.
  • the corresponding relationship between the user's voiceprint identification information and the user's identity information can be stored in the cloud server in advance.
  • the voice platform module in the cloud server can save the correspondence between the user's voiceprint identification information and the user's identity information.
  • User identity information and user voice information can be obtained in advance, and the user voice information can be analyzed to obtain user voiceprint identification information, so that the corresponding relationship between user voiceprint identification information and user identity information can be configured and saved.
  • the user identity information and user voice information sent by the terminal configured with the voiceprint registration application APP can be received, and the user voice information is analyzed to obtain the user voiceprint identification information; thus, the user voiceprint identification information is configured and saved.
  • the corresponding relationship between the user identity information and the user identity information makes it possible to determine the current user identity information matching the current user voiceprint identification information according to the corresponding relationship.
  • the user enters user identity information through a terminal configured with a voiceprint registration application APP, including: one or more information in name, age, gender, etc., and can also input user voice information, so that the user's voice can be The information is analyzed to obtain the user voiceprint identification voiceFlag information. In this way, after registration and authentication, the corresponding relationship between the user voiceprint identification information and the user identity information can be configured and saved.
  • a voiceprint registration application APP including: one or more information in name, age, gender, etc.
  • voice information in name, age, gender, etc.
  • the current user's identity information matching the current user's voiceprint identification information can be determined according to the corresponding relationship.
  • the voice AI platform can determine the current user identity information that matches the current user's voiceprint identification information according to the stored correspondence.
  • Step 103 When the current user's air conditioner use behavior learning result information matching the current user's identity information is obtained, generate current air conditioner control instruction information according to the current user's air conditioner use behavior learning result information.
  • a big data learning model can be configured in the cloud server to learn the user's air conditioner usage behavior and obtain corresponding learning result information. Therefore, in some embodiments, the big data platform module in the cloud server can obtain the air conditioner in the set area where the user is located.
  • the sample information of the operating mode and obtain the sample information of air-conditioning equipment, temperature sample information and wind speed sample information matching the user's set time period; according to the sample information of the operating mode, sample information of air-conditioning equipment, temperature sample information and wind speed sample information, perform Big data learning, to obtain the user's air conditioner use behavior learning result information; save the corresponding relationship between the user identity information and the user's air conditioner use behavior learning result information.
  • the learning result information of the big data learning model configured in the cloud server is the learning result information of the user's air conditioner usage behavior, which may include: air conditioner operating mode information, air conditioner target temperature information, air conditioner operating wind speed information, etc.
  • the available learning samples of the big data learning model may include: one or more of operating mode sample information, temperature sample information, and wind speed sample information.
  • the location of any user can be set as the center of the circle, and the circular area corresponding to the set radius is the set area where the user is located, and the operation mode of each air conditioner in the set area where the user is located can be obtained, including: cooling, heating , dehumidification, etc., the obtained operation mode is the operation mode sample information, and through the big data analysis of these operation mode sample information, the air conditioner operation mode information in the user's air conditioner use behavior learning result information that matches the user's identity information can be obtained .
  • the target temperature information and the operating wind speed information of each air conditioner in the set area where the user is located can also be obtained as temperature sample information and wind speed sample information.
  • the user identity information matches the target temperature information and operating wind speed information in the user air conditioner usage behavior learning result information.
  • the sample information of air-conditioning equipment, temperature sample information, and wind speed sample information that match the user's set time period can be obtained, including: according to the interval data of the user's accumulated time, the time corresponding to each interval is obtained. Air conditioner sample information, temperature sample information, and wind speed sample information.
  • the specific time intervals are as follows: (0,1], (1,2], (2,3]...(23,24], the corresponding time identifiers can be 1 respectively , 2, 3...24, in this way, determine the current time ID corresponding to the user's current power-on time, and then carry out the corresponding relationship between the saved time ID and the air-conditioning temperature and wind speed index information according to the current time ID and the air-conditioning equipment information.
  • Search if the current air conditioner temperature and wind speed index information corresponding to the current time stamp is found, and there is no manual intervention, the corresponding temperature sample information and wind speed sample information can be obtained.
  • the target temperature and operating wind speed of the air conditioner are updated and saved as corresponding current air conditioner temperature and wind speed index information, thereby obtaining corresponding temperature sample information and wind speed sample information.
  • the air-conditioning temperature and wind speed index information corresponding to the time mark closest to the current time mark can be searched. If it can be found, and there is no manual intervention, the The found air conditioner temperature and wind speed index information is determined as the current air conditioner temperature and wind speed index information, thereby obtaining corresponding temperature sample information and wind speed sample information. Of course, if there is manual intervention, it can also be updated and saved as the corresponding current air conditioner temperature and wind speed index information according to the target temperature and operating wind speed of the air conditioner after the manual intervention, so as to obtain the corresponding temperature sample information and wind speed sample information.
  • the received target temperature information and air conditioner operating wind speed information reported by the air conditioner are determined as the current air conditioner temperature and wind speed index information, thereby obtaining the corresponding temperature sample information and wind speed sample information.
  • the user's current power-on time is 9:40, and the corresponding time mark can be 10. If the current time mark 10 is found in the corresponding relationship between the saved time mark and the air conditioner temperature and wind speed index information, at this time, if there is a manual Intervention behavior (the user changes the target temperature or operating wind speed), the target temperature and operating wind speed of the air conditioner after manual intervention can be updated and saved as the corresponding current air conditioner temperature and wind speed index information, thereby obtaining the corresponding temperature sample information and wind speed sample information.
  • the current time stamp 10 is not found in the corresponding relationship between the saved time stamp and the air-conditioning temperature and wind speed index information, but the air-conditioning temperature and wind speed index information corresponding to the closest time stamp 11 is found, and there is no manual intervention, then The found air conditioner temperature and wind speed index information is determined as the current air conditioner temperature and wind speed index information. If the time stamps 9, 10, and 11 are not found, then the latest received target temperature information and air-conditioning operating wind speed information of the air-conditioning may be determined as the current air-conditioning temperature and wind speed index information, and saved.
  • the cloud server or the data platform module in the cloud server, can obtain and save the corresponding relationship between the user identity information and the learning result information of the user's air conditioner use behavior through the big data model, wherein, the user's air conditioner use behavior
  • the behavior learning result information includes: one, two or more of air conditioner operating mode information, target temperature information, and operating wind speed information.
  • the current user's air conditioner use behavior learning result information when the current user's air conditioner use behavior learning result information matching the current user identity information is obtained, the current user's air conditioner use behavior can be learned according to the current user's air conditioner use behavior learning result information.
  • One, two or more of the air conditioner operating mode information, target temperature information, and operating wind speed information in the result information generate current air conditioner control instruction information.
  • the cloud server may include an air-conditioning control platform module, such as an air-conditioning server.
  • the air-conditioning control platform module may obtain the status data information reported by the air-conditioning, and may issue control instruction information of the air-conditioning, etc., namely The air conditioner can be controlled and managed.
  • the cloud server or the data platform module in the cloud server finds the current user's air conditioner use behavior learning result information that matches the current user's identity information, it can send the current user's air conditioner use behavior learning result information to The air-conditioning control platform module in the cloud server, so that the air-conditioning control platform module can perform compatible processing on the current user's air-conditioning use behavior learning result information according to the air-conditioning protocol, and generate current air-conditioning control command information.
  • Step 104 Send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.
  • the cloud server can send the current air conditioner control command information to the air conditioner to control the operation of the air conditioner.
  • the air conditioner platform module can directly communicate with the air conditioner, so that the air conditioner platform module can send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.
  • the air conditioner may belong to a smart device in a smart home system, and the smart home system may be controlled through an Internet of Things (IoT) platform module, therefore, the cloud server may also include: an IoT platform module Therefore, after the air-conditioning control platform module generates the current air-conditioning control command information, it can send the current air-conditioning control command information to the IoT platform module, so that the IoT platform module sends the current air-conditioning control command information to the air-conditioning according to the agreed communication method to control the air-conditioning run.
  • IoT Internet of Things
  • the air-conditioning control platform module after the air-conditioning control platform module generates the current air-conditioning control command information, it can send the current air-conditioning control command information to the voice platform module according to the agreed communication method, and the voice platform module generates the current voice control command corresponding to the current air-conditioning control command information and sends it To the IoT platform module, thus, the IoT platform module sends the current voice control command to the air conditioner according to the agreed communication method to control the operation of the air conditioner.
  • the cloud server can be configured with a big data learning model, so that, through big data learning, the learning result information of the user's air conditioner usage behavior after big data learning corresponding to the user identity information can be obtained and saved, so that , when the air conditioner is awakened by the user's voice, the user's identity information can be matched to the user's voiceprint identification information, thereby obtaining the user's air conditioner use behavior learning result information that matches the user's identity information, and can generate corresponding air conditioner control instruction information
  • the operation of the air conditioner is controlled, the user identity information is recognized by voice, and the air conditioner is automatically controlled according to the user's air conditioner usage behavior, which improves the intelligence of the air conditioner control and improves the user experience.
  • the current user identity information can be put into the configuration Carry out big data learning in the big data model of the current user identity information, that is, obtain the operating mode sample information, air-conditioning equipment sample information, temperature sample information, and wind speed sample information corresponding to the current user identity information, and perform big data learning to obtain the corresponding learning results.
  • the corresponding learning result information of the current user's air conditioner usage behavior can be obtained.
  • the air conditioner can report the operation status information, so that the cloud server can receive the operation status information reported by the air conditioner; thus, according to the current user identity information and operation status information, generate the current Run the broadcast information; and send the current running broadcast information to the air conditioner for broadcast.
  • the voice platform module in the cloud server can receive the running status information reported by the air conditioner; thus, according to the current user identity information and running status information, generate current running playback information; and send the current running playback information to The air conditioner broadcasts, for example: Play: "xx kid, the air conditioner is on, and it has set your usual xx wind speed, xx mode, xx temperature" for you.
  • a device for voice air conditioning control can be constructed.
  • the device for voice air conditioning control can be applied to a cloud server.
  • Fig. 2 is a schematic structural diagram of a device for voice air conditioning control provided by an embodiment of the present disclosure.
  • the air conditioner control device for voice includes: a voice platform module 100 , a data platform module 200 and an air conditioner control platform module 300 .
  • the voice platform module 100 is configured to receive the current user's voice wake-up command sent by the air conditioner; analyze the current user's voice wake-up command to obtain the current user's voiceprint identification information, and determine the current user identity information matching the current user's voiceprint identification information .
  • the data platform module 200 is configured to send the learning result information of the current user's air conditioner usage behavior when the learning result information of the current user's air conditioner usage behavior matching the current user's identity information is acquired.
  • the air conditioner control platform module 300 is configured to generate current air conditioner control instruction information according to the received current user air conditioner use behavior learning result information, and send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.
  • the voice platform module 100 is further configured to receive user identity information and user voice information sent by a terminal configured with a voiceprint registration application APP, and analyze the user voice information to obtain user voiceprint identification information; configuration and The corresponding relationship between user voiceprint identification information and user identity information is saved.
  • the data platform module 200 is also configured to obtain sample information of the operating mode of the air conditioner in the set area where the user is located, and obtain sample information of air conditioners matching the time period set by the user, sample information of temperature and wind speed Sample information: According to the sample information of the operation mode, the sample information of the air conditioner, the temperature sample information and the wind speed sample information, the big data learning is carried out to obtain the user's air conditioner use behavior learning result information; the user identity information and the user air conditioner use behavior learning result information are saved. corresponding relationship.
  • the voice platform module 300 is also configured to receive the running status information reported by the air conditioner; generate current running playback information according to the current user identity information and running status information; and send the current running playback information to the air conditioner for broadcasting.
  • each platform module used in the voice air conditioner control device may be a virtual functional module, or may be specifically a server device, for example: the voice platform module 100 may include: a voice AI platform device; a data platform module 200 It may include: data platform equipment; the air conditioner control platform module 300 may include: an air conditioner server and the like.
  • the operation process is integrated into a specific embodiment to illustrate the voice air conditioning control process of the voice air conditioning control device provided by the embodiment of the present invention.
  • Fig. 3 is a schematic structural diagram of a device for voice air conditioning control provided by an embodiment of the present disclosure.
  • the voice air conditioner control device applied to a cloud server may include: a voice AI platform device 310 , a data platform device 320 , an air conditioner server 330 , and an IOT platform device 340 .
  • the voice AI platform device 310, the data platform device 320, and the air conditioner server 330 can communicate with each other, and the voice AI platform device 310 and the air conditioner server 330 can also communicate with the IOT platform device 340 respectively.
  • the voice AI platform device 310 stores the correspondence between the user's voiceprint identification information and the user's identity information.
  • the big data model is configured in the data platform device 320, and the corresponding relationship between the user identity information and the user's air conditioner usage behavior learning result information is saved.
  • Fig. 4 is a schematic diagram of a signaling flow of a user voice air conditioning control method provided by an embodiment of the present disclosure.
  • the process for the voice air conditioner control device to control the voice air conditioner can be shown in Figure 4, including:
  • Step 401 The voice AI platform device receives the current user's voice wake-up instruction sent by the air conditioner.
  • Step 402 The voice AI platform device analyzes the voice wake-up command of the current user to obtain voiceprint identification information of the current user.
  • Step 403 The voice AI platform device determines the current user identity information matching the current user voiceprint identification information according to the stored correspondence between the user voiceprint identification information and the user identity information.
  • Step 404 The data platform device acquires current user identity information.
  • Step 405 The data platform device determines whether the current user identity information is found in the corresponding relationship between the stored user identity information and the user's air conditioner use behavior learning result information? If yes, go to step 406; otherwise, go to step 407.
  • Step 406 The data platform device acquires the learning result information of the current user's air conditioner use behavior matching the current user's identity information, and sends it to the air conditioner server.
  • Step 407 The data platform device acquires the sample information corresponding to the current user identity information, performs big data learning, and obtains the user's air conditioner use behavior learning result information; and saves the correspondence between the user identity information and the user's air conditioner use behavior learning result information.
  • Step 408 The air conditioner server performs protocol compatible processing on the current user's air conditioner use behavior learning result information to generate current air conditioner control command information.
  • Step 409 The air conditioner server returns the current air conditioner control instruction information to the voice AI platform device.
  • Step 410 the voice AI platform device sends the current air conditioner control instruction information to the air conditioner through the IOT platform device.
  • Step 411 The air conditioner operates according to the current air conditioner control instruction information, and reports the operation status information to the voice AI platform device.
  • Step 412 The voice AI platform device generates current running playback information according to the current user identity information and running status information, and sends it to the air conditioner.
  • Step 413 The air conditioner broadcasts according to the current running broadcast information.
  • the device for voice air conditioner control can be configured with a big data learning model, so that, through big data learning, the learning result information of the user's air conditioner use behavior corresponding to the user identity information can be obtained and saved, so that, When the air conditioner is awakened by the user's voice, the device for voice air conditioner control can match the user's identity information through the user's voiceprint identification information, thereby obtaining the user's air conditioner use behavior learning result information that matches the user's identity information, and can generate The corresponding air conditioner control command information controls the operation of the air conditioner, realizes voice recognition of user identity information, and automatically controls the air conditioner according to the user's air conditioner usage behavior, which improves the intelligence of air conditioner control and user experience.
  • An embodiment of the present disclosure provides a device for voice air conditioning control, the structure of which is shown in Figure 5, including:
  • a processor (processor) 1000 and a memory (memory) 1001 may also include a communication interface (Communication Interface) 1002 and a bus 1003. Wherein, the processor 1000 , the communication interface 1002 , and the memory 1001 can communicate with each other through the bus 1003 . Communication interface 1002 may be used for information transfer.
  • the processor 1000 may invoke logic instructions in the memory 1001 to execute the method for voice air-conditioning control in the above-mentioned embodiments.
  • the above logic instructions in the memory 1001 may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as an independent product.
  • the memory 1001 can be used to store software programs and computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure.
  • the processor 1000 executes function applications and data processing by running the program instructions/modules stored in the memory 1001 , that is, implements the method for voice air conditioning control in the above method embodiments.
  • the memory 1001 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the terminal device, and the like.
  • the memory 1001 may include a high-speed random access memory, and may also include a non-volatile memory.
  • An embodiment of the present disclosure provides a voice air conditioning control device, including: a processor and a memory storing program instructions, and the processor is configured to execute a voice air conditioning control method when executing the program instructions.
  • An embodiment of the present disclosure provides a cloud server, including the above-mentioned device for voice air conditioning control.
  • An embodiment of the present disclosure provides a storage medium, which stores program instructions, and when the program instructions are run, execute the above-mentioned method for voice air conditioning control.
  • An embodiment of the present disclosure provides a computer program product, the computer program product includes a computer program stored on a storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer executes The above is used for the voice air conditioner control method.
  • the above-mentioned storage medium may be a transitory computer-readable storage medium, or a non-transitory computer-readable storage medium.
  • the technical solutions of the embodiments of the present disclosure can be embodied in the form of software products, which are stored in a storage medium and include one or more instructions to make a computer device (which can be a personal computer, a server, or a network equipment, etc.) to perform all or part of the steps of the method described in the embodiments of the present disclosure.
  • the aforementioned storage medium can be a non-transitory storage medium, including: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc.
  • a first element could be called a second element, and likewise, a second element could be called a first element, as long as all occurrences of "first element” are renamed consistently and all occurrences of "Second component” can be renamed consistently.
  • Both the first element and the second element are elements, but may not be the same element.
  • the terms used in the present application are used to describe the embodiments only and are not used to limit the claims. As used in the examples and description of the claims, the singular forms "a”, “an” and “the” are intended to include the plural forms as well unless the context clearly indicates otherwise .
  • the term “and/or” as used in this application is meant to include any and all possible combinations of one or more of the associated listed ones.
  • the term “comprise” and its variants “comprises” and/or comprising (comprising) etc. refer to stated features, integers, steps, operations, elements, and/or The presence of a component does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groupings of these.
  • an element defined by the phrase “comprising a " does not exclude the presence of additional identical elements in the process, method or apparatus comprising said element.
  • each embodiment may focus on the differences from other embodiments, and reference may be made to each other for the same and similar parts of the various embodiments.
  • the relevant part can refer to the description of the method part.
  • the disclosed methods and products can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units may only be a logical function division.
  • multiple units or components may be combined Or it can be integrated into another system, or some features can be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • each functional unit in the embodiments of the present disclosure may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • each block in a flowchart or block diagram may represent a module, program segment, or part of code that includes one or more Executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures.
  • two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved.
  • the operations or steps corresponding to different blocks may also occur in a different order than that disclosed in the description, and sometimes there is no specific agreement between different operations or steps.
  • each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by dedicated hardware implemented in combination with computer instructions.

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Acoustics & Sound (AREA)
  • Physics & Mathematics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

Procédé et appareil de commande vocale d'un climatiseur, serveur en nuage et support d'enregistrement. Le procédé consiste à : recevoir l'instruction actuelle de réveil vocal d'utilisateur envoyée par un climatiseur (101) ; analyser l'instruction actuelle de réveil vocal d'utilisateur pour obtenir les informations d'identification d'empreinte vocale d'utilisateur actuelles, et déterminer les informations d'identité d'utilisateur actuelles mises en correspondance avec les informations d'identification d'empreinte vocale d'utilisateur actuelles (102) ; sous réserve de l'obtention des informations de résultat d'apprentissage de comportement d'utilisation de climatiseur d'utilisateur actuelles mises en correspondance avec les informations d'identité d'utilisateur actuelles, générer des informations d'instruction de commande de climatiseur actuelles en fonction des informations de résultat d'apprentissage de comportement d'utilisation de climatiseur d'utilisateur actuelles (103) ; et envoyer les informations d'instruction de commande de climatiseur actuelles au climatiseur, et commander le climatiseur pour une mise en marche (104). Selon le procédé, les informations d'identité d'utilisateur sont reconnues au moyen d'une voix, et le climatiseur est automatiquement commandé en fonction du comportement d'utilisation de climatiseur d'un utilisateur, et ainsi, l'intelligence de la commande de climatiseur est améliorée, et l'expérience d'utilisateur est améliorée.
PCT/CN2022/097079 2021-10-13 2022-06-06 Procédé et appareil de commande vocale de climatiseur, serveur en nuage et support d'enregistrement WO2023060917A1 (fr)

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CN116048161B (zh) * 2023-03-01 2023-11-17 江苏芳香季纺织科技有限公司 一种加热穿戴设备智能温度调节控制方法

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