WO2023060917A1 - Method and apparatus for voice control of air conditioner, cloud server, and storage medium - Google Patents

Abstract

A method and apparatus for voice control of an air conditioner, a cloud server, and a storage medium. The method comprises: receiving the current user voice wakeup instruction sent by an air conditioner (101); parsing the current user voice wakeup instruction to obtain the current user voiceprint identification information, and determining the current user identity information matched with the current user voiceprint identification information (102); under the condition that the current user air conditioner usage behavior learning result information matched with the current user identity information is obtained, generating the current air conditioner control instruction information according to the current user air conditioner usage behavior learning result information (103); and sending the current air conditioner control instruction information to the air conditioner, and controlling the air conditioner to run (104). According to the method, the user identity information is recognized by means of voice, and the air conditioner is automatically controlled according to the air conditioner usage behavior of a user, and thus, the intelligence of air conditioner control is improved, and the user experience is improved.

Description

Method, device, cloud server and storage medium for voice air conditioning control

This application is based on a Chinese patent application with application number 202111193441.4 and a filing date of October 13, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

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.

Background technique

With the development of intelligent technology, air conditioners have many intelligent functions, such as: voice control, remote control and so on. Moreover, with the development of big data technology, 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.

However, there may be multiple users of the air conditioner, and each user’s hot and cold preferences, wind speed deviation, etc. are not necessarily the same. At present, it is not possible to directly control the air conditioner according to the user’s air conditioner usage habits, and the intelligence of the air conditioner control has yet to be realized. improve.

Contents of the invention

In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is presented below. The summary is not intended to be an extensive overview nor to identify key/important elements or to delineate the scope of these embodiments, but rather serves as a prelude to the detailed description that follows.

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.

In some embodiments, the method includes:

Receive the current user's voice wake-up command sent by the air conditioner;

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;

In the case that the current user's air conditioner use behavior learning result information matching the current user identity information is acquired, the current air conditioner control instruction information is generated according to the current user's air conditioner use behavior learning result information;

Send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.

In some embodiments, 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.

In some embodiments, 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. .

In some embodiments, the cloud server includes the above-mentioned device for voice air conditioning control.

In some embodiments, 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:

Through the user's voiceprint identification information, 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.

The foregoing general description and the following description are exemplary and explanatory only and are not intended to limit the application.

Description of drawings

One or more embodiments are exemplified by the corresponding drawings, and these exemplifications and drawings do not constitute a limitation to the embodiments, and elements with the same reference numerals in the drawings are shown as similar elements, The drawings are not limited to scale and in which:

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.

Detailed ways

In order to understand the characteristics and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. The attached drawings are only for reference and description, and are not intended to limit the embodiments of the present disclosure. In the following technical description, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawings.

The terms "first", "second" and the like in the description and claims of the embodiments of the present disclosure and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances so as to facilitate the embodiments of the disclosed embodiments described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion.

Unless stated otherwise, the term "plurality" means two or more.

In the embodiments of the present disclosure, the character "/" indicates that the preceding and following objects are an "or" relationship. For example, A/B means: A or B.

The term "and/or" is an associative relationship describing objects, indicating that there can be three relationships. For example, A and/or B means: A or B, or, A and B, these three relationships.

In the embodiment of the present disclosure, 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 At this time, 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.

In the embodiment of the present disclosure, 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., and, 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. At the same time, with the development of air-conditioning intelligent technology, 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.

In the embodiment of the present disclosure, 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.

Wherein, 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.

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. In some embodiments, 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. In some embodiments, 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.

For example: 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.

Since the corresponding relationship between the user's voiceprint identification information and the user's identity information has been stored in the cloud server, the current user's identity information matching the current user's voiceprint identification information can be determined according to the corresponding relationship. For example: 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.

Among them, in the embodiment of the present disclosure, 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. One or more types. Therefore, 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.

In some embodiments, 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 . Of course, in some embodiments, 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.

In some embodiments, 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. For example: divide the time into 24 time intervals, 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.

And if the current air-conditioning temperature and wind speed index information corresponding to the current time mark is not found, then 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.

If the air conditioner temperature and wind speed index information corresponding to the time stamp closest to the current time stamp is still not searched, 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.

For example: 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. If 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.

It can be seen that in the embodiments of the present disclosure, 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.

In this way, if according to the corresponding relationship between the stored user identity information and the 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.

Wherein, in some embodiments, the cloud server may include an air-conditioning control platform module, such as an air-conditioning server. In this way, 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. Therefore, when 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. Wherein, in some embodiments, 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.

In some embodiments, 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. Alternatively, 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.

It can be seen that in this embodiment, 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.

Of course, if the current user identity information is not found in the corresponding relationship between the user identity information stored in the cloud server or the data platform module in the cloud server and the user air conditioner use behavior learning result information, 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. , when the current user identity information is searched next time, the corresponding learning result information of the current user's air conditioner usage behavior can be obtained.

After the cloud server controls the operation of the air conditioner according to the current air conditioner control command information, 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.

Wherein, in some embodiments, 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.

It can be seen that, according to the above process for voice air conditioning control, 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. As shown in FIG. 2 , 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 .

Wherein, 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.

In some embodiments, 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.

In some embodiments, 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.

In some embodiments, 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.

Certainly, in the embodiment of the present disclosure, 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.

In the following, 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. As shown in FIG. 3 , 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 .

Among them, 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.

Moreover, 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.

It can be seen that in this embodiment, 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.

In addition, 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, as a computer-readable storage medium, 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. In addition, 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 medium that can store program code, or a transitory storage medium.

The above description and drawings sufficiently illustrate the embodiments of the present disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, procedural, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present disclosure includes the full scope of the claims, and all available equivalents of the claims. When used in the present application, although the terms 'first', 'second', etc. may be used in the present application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, without changing the meaning of the description, 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. Also, 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 . Similarly, 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. Additionally, when used in this application, 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. Without further limitations, 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. Herein, 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. For the method, product, etc. disclosed in the embodiment, if it corresponds to the method part disclosed in the embodiment, then the relevant part can refer to the description of the method part.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software may depend on the specific application and design constraints of the technical solution. Said artisans may implement the described functions using different methods for each particular application, but such implementation should not be regarded as exceeding the scope of the disclosed embodiments. The skilled person can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units may only be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined Or it can be integrated into another system, or some features can be ignored, or not implemented. In addition, 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. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. In addition, 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.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the disclosure. In this regard, 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. In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, 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. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, 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. order. For example, two consecutive operations or steps may, in fact, be performed substantially concurrently, or they may sometimes be performed in the reverse order, depending upon the functionality involved. 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.

Claims (11)

1. A method for voice air conditioning control, characterized in that, comprising:

   Receive the current user's voice wake-up command sent by the air conditioner;

   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;

   In the case that the current user's air conditioner use behavior learning result information matching the current user identity information is acquired, the current air conditioner control instruction information is generated according to the current user's air conditioner use behavior learning result information;

   Send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.
2. The method according to claim 1, further comprising:

   receiving user identity information and user voice information sent by a terminal configured with a voiceprint registration application APP, and analyzing the user voice information to obtain user voiceprint identification information;

   Configuring and saving the correspondence between the user voiceprint identification information and the user identity information, so that the current user identity information matching the current user voiceprint identification information is determined according to the correspondence.
3. The method according to claim 1, further comprising:

   Obtain the sample information of the air conditioner's operating mode in the set area where the user is located, and obtain the sample information of the air conditioner equipment, temperature sample information, and wind speed sample information that match the user's set time period;

   According to the sample information of the operation mode, the sample information of the air conditioner, the sample information of the temperature and the sample information of the wind speed, carry out big data learning, and obtain the user's air conditioner use behavior learning result information;

   The corresponding relationship between the user identity information and the learning result information of the user's air conditioner use behavior is stored.
4. The method according to any one of claims 1-3, further comprising:

   receiving the operation status information reported by the air conditioner;

   Generate current running playback information according to the current user identity information and the running state information;

   Send the current running broadcast information to the air conditioner for broadcasting.
5. A device for voice air conditioning control, characterized in that it comprises:

   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 use behavior, and send the current air conditioner control instruction information to the air conditioner to control the operation of the air conditioner.
6. The device according to claim 5, characterized in that,

   The voice platform module is also 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; configure and save the Correspondence between user voiceprint identification information and the user identity information.
7. The device according to claim 6, characterized in that,

   The data platform module is also configured to obtain sample information of the air conditioner's operating mode in the set area where the user is located, and to obtain sample information of air conditioner equipment, temperature sample information, and wind speed sample information that match the user's set time period; The sample information of the operation mode, the sample information of the air conditioner, the sample information of the temperature and the sample information of the wind speed, carry out big data learning, and obtain the learning result information of the user's air conditioner use behavior; save the user identity information and the user's air conditioner use behavior Correspondence between learning result information.
8. The device according to any one of claims 5-7, characterized in that,

   The voice platform module 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 the running status information; send the current running playback information to the Air conditioner to broadcast.
9. A device for voice air-conditioning control, which includes a processor and a memory storing program instructions, wherein the processor is configured to execute any of claims 1 to 4 when executing the program instructions. A method for voice air conditioning control described herein.
10. A cloud server, characterized by comprising: the device for voice air conditioning control according to claim 5 or 9.
11. A storage medium storing program instructions, wherein the program instructions execute the method for voice air conditioning control according to any one of claims 1 to 4 when running.

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