WO2024016757A1 - 用于空调的控制方法与装置、智能空调 - Google Patents

用于空调的控制方法与装置、智能空调 Download PDF

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Publication number
WO2024016757A1
WO2024016757A1 PCT/CN2023/088847 CN2023088847W WO2024016757A1 WO 2024016757 A1 WO2024016757 A1 WO 2024016757A1 CN 2023088847 W CN2023088847 W CN 2023088847W WO 2024016757 A1 WO2024016757 A1 WO 2024016757A1
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WIPO (PCT)
Prior art keywords
air conditioner
user
control
control instruction
identity
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PCT/CN2023/088847
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English (en)
French (fr)
Inventor
宋世芳
周苏英
郭丽
张桂芳
白泽远
Original Assignee
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 WO2024016757A1 publication Critical patent/WO2024016757A1/zh

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Classifications

    • 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
    • F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
    • 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
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/65—Electronic processing for selecting an operating mode
    • F24F11/67—Switching between heating and cooling modes
    • 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
    • F24F11/88—Electrical aspects, e.g. circuits
    • 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
    • F24F11/89—Arrangement or mounting of control or safety devices
    • 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
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F24F2110/64—Airborne particle content
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F24F2110/65—Concentration of specific substances or contaminants

Definitions

  • the present application relates to the technical field of smart home appliances, for example, to a control method and device for air conditioners and smart air conditioners.
  • a method for controlling an air conditioner which pre-stores a variety of operating scenarios corresponding to different air conditioning needs, so that the corresponding scenario mode can be run according to the user's selection.
  • Different users have different adjustment intensity requirements for the same operating scenario, such as different temperature adjustment intensity, different air purification intensity, etc.
  • different temperature adjustment intensity such as different temperature adjustment intensity, different air purification intensity, etc.
  • it cannot meet the adjustment intensity needs of different users, thereby failing to achieve the adjustment purpose corresponding to the operation command, affecting the user's comfort.
  • Embodiments of the present disclosure provide a control method and device for an air conditioner and an intelligent air conditioner to improve the intelligence of the air conditioner when selecting the current operating scenario.
  • control method for air conditioning includes: receiving a user's control instruction; parsing the control instruction and determining the execution attribute of the control instruction; wherein the execution attribute includes indicating the user's identity information; according to the execution attribute, control the air conditioner to execute operations corresponding to the control instructions.
  • control device for air conditioning includes: a receiving module configured to receive a user's control instruction; a determining module configured to parse the control instruction and determine the execution attributes of the control instruction; Wherein, the execution attribute includes information indicating a user's identity; the execution module is configured to control the air conditioner to perform an operation corresponding to the control instruction according to the execution attribute.
  • control device for air conditioning includes a processor and a memory storing program instructions, The processor is configured to execute the above control method for air conditioning when running the program instructions.
  • the smart air conditioner includes the above-mentioned control device for air conditioning.
  • the execution attributes required for the operating scenario corresponding to the control instructions are obtained, thereby controlling the air conditioner to execute the control instructions according to the user identity corresponding to the execution attributes.
  • Figure 1 is a schematic diagram of the system environment of a control method for air conditioning provided by an embodiment of the present disclosure
  • Figure 2 is a schematic diagram of a control method for air conditioning provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of another control method for air conditioning provided by an embodiment of the present disclosure.
  • Figure 4 is a schematic diagram of another control method for air conditioning provided by an embodiment of the present disclosure.
  • Figure 5 is a schematic diagram of a control device for air conditioning provided by an embodiment of the present disclosure
  • FIG. 6 is a schematic diagram of another control device for air conditioning provided by an embodiment of the present disclosure.
  • Figure 7 is a schematic diagram of an air conditioner 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.
  • correspondence can refer to an association relationship or a binding relationship.
  • correspondence between A and B refers to an association relationship or a binding relationship between A and B.
  • smart home appliances refer to home appliances that are formed by introducing microprocessors, sensor technology, and network communication technology into home appliances. They have the characteristics of intelligent control, smart perception, and smart applications.
  • the operation process of smart home appliances often Relying on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips, for example, smart home appliances can be connected to electronic devices to enable users to remotely control and manage smart home appliances.
  • the terminal device refers to an electronic device with a wireless connection function.
  • the terminal device can communicate with the above smart home appliances by connecting to the Internet, or can directly communicate with the above smart home appliances through Bluetooth, wifi, etc. Make a communication connection.
  • the terminal device is, for example, a mobile device, a computer, or a vehicle-mounted device built into a floating vehicle, or any combination thereof.
  • Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, etc., or any combination thereof.
  • Wearable devices may include, for example, smart watches, smart bracelets, pedometers, etc.
  • FIG. 1 is a schematic diagram of the system environment of a control method for air conditioning provided by an embodiment of the present disclosure.
  • the implementation environment includes air conditioners 11, wireless routers 12, terminal devices 13 and home cloud platforms 14.
  • the air conditioner 11 is used to adjust indoor air in a home scenario.
  • the air conditioner 11 can access the home WiFi network through the wireless router 12 to communicate with the terminal device 13, or access the home cloud platform 14 to receive operating instructions.
  • the user can also control the air conditioner 11 to automatically perform air conditioning operations through the application program in the terminal device 13 .
  • the same home scene may include multiple air conditioners located in different spaces, or multiple air conditioners located in the same space. Not shown in this embodiment.
  • the terminal device 13 is used to communicate with the air conditioner 11 and the home cloud platform 14 .
  • the home cloud platform 14 is used to realize communication between the wireless router 12 and the outside world, receive real-time status data of air conditioners for big data platform and application service subscription, and receive and issue air conditioner control from other business servers, big data platforms, and application terminals. instruction.
  • the implementation environment also includes a big data platform 15 for receiving real-time data subscribed on the home cloud platform to perform real-time business calculations and instruction issuance.
  • the big data platform 15 the massive data acquired are stored in the underlying database for statistical presentation and business analysis.
  • FIG. 2 is a schematic flowchart of a control method for air conditioning provided by an embodiment of the present disclosure.
  • the control method for air conditioners is applied in the environment as shown in Figure 1, and can be executed in the air conditioner as shown in Figure 1, or at a control terminal of the air conditioner, such as a remote control or an operation panel on the wall of the room; or It can be executed in a server, such as a home cloud platform that communicates with an air conditioner; it can also be executed in a terminal device, such as a smartphone, a smart home appliance, or a control terminal of a smart furniture system.
  • the solution is explained with the processor of the air conditioner as the execution subject.
  • control method for air conditioning includes:
  • Step S201 The processor receives the user's control instruction.
  • the user's control instruction refers to the control instruction actively issued by the user. It can be a voice command issued by the user, or it can be an air conditioning operation command performed by the user through the device (the display screen of the air conditioner, the control panel of the air conditioner, the remote control of the air conditioner). For example: operating the buttons and touch screen of the air conditioner display.
  • Smart air conditioners can also communicate with smartphones (terminal devices) through the home cloud platform to obtain control instructions issued by users through smartphone applications.
  • Step S202 The processor parses the control instruction and determines the execution attributes of the control instruction; where the execution attributes include information indicating the user's identity.
  • the execution attribute refers to the information that the air conditioner needs to obtain in order to realize the control purpose corresponding to the control instruction.
  • multiple air conditioner operating parameters corresponding to the settings are determined based on the execution attributes.
  • the air conditioner operates according to the above multiple operating parameters, the operating purpose corresponding to the control instruction can be achieved.
  • Step S203 The processor controls the air conditioner to execute operations corresponding to the control instructions according to the execution attributes.
  • control method for air conditioners provided by the embodiments of the present disclosure is used to obtain the execution attributes required for the operating scenario corresponding to the control instructions by parsing the control instructions, thereby controlling the air conditioner execution control according to the user identity corresponding to the execution attributes. instruction.
  • the air conditioner when the air conditioner is controlled to operate according to the control instructions, it can combine the different demand intensities of different users for the same air conditioning function to achieve intelligent selection of the current scenario. To provide users with personalized air conditioning control services more accurately to meet users' comfort needs for their environment.
  • parsing the control instruction also includes obtaining the control keyword in the control instruction; when the current control keyword of the control instruction is a preset constraint word, determining the above execution attributes; and determining the air-conditioning operation scenario corresponding to the preset keyword. Adjust scenes for intelligence.
  • the execution attribute corresponding to "increase temperature" includes the current set temperature.
  • the set temperature can be increased to speed up the air conditioning speed and achieve the purpose of increasing the temperature.
  • control keywords and execution attributes can be in the form of a data table; one control keyword can correspond to a set of execution attributes.
  • the corresponding relationship between the control keyword and the execution attribute can be stored in the database of the memory in advance. Then, in this embodiment, the determination of the execution attributes of the control instruction includes:
  • the command information table stores the corresponding relationship between the control keywords and the air conditioner operating mode
  • the execution attributes corresponding to the current control keyword can be obtained by querying the database.
  • Intelligent adjustment scene is used to represent the operation plan of the air conditioner for active scene selection for the purpose of improving user comfort.
  • a variety of different operating modes are preset in the intelligent adjustment scenario, so that the corresponding target operating mode can be executed through active services according to different air conditioning needs and user needs.
  • the default constraint words are set and are used to trigger the feature words of the intelligent adjustment scene.
  • the control keyword is a preset constraint word, it indicates that the user's control intention is to execute an intelligent adjustment scenario.
  • the execution attributes are obtained to determine the running mode of the intelligent adjustment scenario.
  • the preset constraint word is Comfortable Home.
  • Its corresponding intelligent adjustment scene "Comfortable Home" scene solution is an operating mode that can automatically manage air.
  • the air conditioner automatically determines the target operating mode of the air conditioner based on the user's location information and user identity information, and combines the indoor air quality conditions and the air conditioning intensity needs of different users to formulate corresponding air conditioning plans to achieve process detection, Intelligent regulation of proactive sensing decisions.
  • the user's voice control command includes the phrase "Comfortable Home”, or the user operates the “Comfortable Home” command through the touch screen or buttons of the air conditioner, or the user issues a "Comfortable Home” operation command through the smartphone application, Indicates the user's control intention as an intelligent adjustment scene.
  • FIG. 3 is a schematic flowchart of a control method for air conditioning provided by an embodiment of the present disclosure.
  • the control method for air conditioning is applied in the environment as shown in Figure 1.
  • the control method for air conditioning includes:
  • Step S301 The processor receives a user's control instruction.
  • Step S302 When the control instruction is a voice instruction, the processor analyzes the control instruction to extract the current voiceprint information of the control instruction.
  • control instructions are parsed to obtain the voiceprint information used to represent the user's identity. Different users have different voiceprint characteristics.
  • Step S303 The processor determines the identity of the current user based on the current voiceprint information; where the user's identity includes at least an adult, an elderly person, or a child.
  • the memory of the air conditioner can pre-store the corresponding relationship between the user's voiceprint identification information and the user's identity information.
  • the user identity information and user voice information can be obtained in advance, and the user voice information corresponding to the control instructions can be analyzed to obtain the current voiceprint information. Therefore, the correspondence between the user voiceprint identification information and the 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 can be received, and the user voice information can be parsed to obtain the user voiceprint identification information; thereby configuring and saving the user voiceprint identification information and the corresponding relationship between the user identity information, so that based on the corresponding relationship, the current user identity information matching the current voiceprint information is determined.
  • the user enters user identity information through a terminal configured with the voiceprint registration application APP, including: name, One or more types of information such as age, gender, etc., and the user's voice information can also be input, so that the user's voice information can be analyzed and the user's voiceprint identification voiceFlag information can be obtained.
  • the voiceprint registration application APP including: name, One or more types of information such as age, gender, etc.
  • the user's voice information can also be input, so that the user's voice information can be analyzed and the user's voiceprint identification voiceFlag information can be obtained.
  • voiceprint registration application APP including: name, One or more types of information such as age, gender, etc.
  • the current user's identity information that matches the current user's voiceprint identification information can be determined based on the correspondence.
  • the memory of the air conditioner can determine the current user identity information that matches the current voiceprint information based on the saved correspondence.
  • determine the identity of the current user based on the current voiceprint information including:
  • the user information table match the user identity corresponding to the current voiceprint information as the identity of the current user.
  • user identities are classified according to the user's age, and the user identities are divided into adult users, child users, and elderly users.
  • the air conditioner does not support the function of storing user identity information. Then, machine learning algorithms can be used to determine the user's identity information based on the voiceprint information.
  • determine the identity of the current user based on the current voiceprint information including:
  • the training process of the above deep learning model includes:
  • the channel data training set includes at least a set of user identities and user voiceprint information
  • Input the training data set into the deep learning network model use the training data set to train the deep learning model, and during each training process, calculate the error function based on the output user identity to adjust the parameters of the deep learning model;
  • the deep learning model is considered to have been trained, and the model is saved as a trained deep learning model to determine the user's identity.
  • the user identity corresponding to the output can be obtained as an execution attribute to determine subsequent operating strategies.
  • Step S304 The processor controls the air conditioner to execute operations corresponding to the control instructions according to the execution attributes.
  • control instructions are issued in the form of non-voice instructions.
  • the operation of the air conditioner's display screen, air conditioner control panel, and air conditioner remote control can also be an instruction issued by the user through a smartphone application.
  • the identity of the above-mentioned current user can be determined based on the device associated user.
  • control instruction is an instruction issued by the user through the device, analyze the control instruction and determine the device that issued the control instruction;
  • the identity of the user associated with the emitted device will be used as the identity of the current user.
  • control instruction is parsed to obtain the execution attributes required for the operating scenario corresponding to the control instruction, thereby controlling the air conditioner to execute the control instruction according to the user identity corresponding to the execution attribute.
  • determining the identity of the current user it also includes: pushing the identity confirmation information of the current user.
  • identity confirmation information is pushed to users by pushing current scene prompt information. For example, when it is determined that the current user is an elderly user, the voice message "Hello elders, the intelligent adjustment mode has been turned on, and the fresh air function is turned on for you" is pushed to the user. Based on the interaction between the user and the device after the push, determine whether the identity of the current user needs to be adjusted, and the operating mode corresponding to the identity.
  • the adjustment instructions issued by the user after pushing the current user's identity confirmation information, obtain the adjustment instructions issued by the user within the set time period; when the adjustment intention of the adjustment instruction is to modify the user's identity, control the execution of the air conditioner based on the adjusted user's identity. Operations corresponding to control instructions.
  • control the air conditioner to perform operations corresponding to the control instructions including:
  • the target operating mode is one of the preset operating modes in the intelligent adjustment scenario.
  • a variety of operating modes characterized by user identities are pre-stored in the intelligent adjustment scenario. For example, adult mode, elderly mode, children's mode, pregnant woman mode, etc. Technicians can configure operating parameters based on different users' ability to withstand the intensity of air conditioning. For example, for the same refrigeration function, the refrigeration set temperature in the elderly mode is higher than the refrigeration set temperature in the adult mode.
  • a variety of operating modes characterized by application time periods are pre-stored in the intelligent adjustment scenario. For example, cooling season mode, rainy season mode, haze removal season mode, etc.
  • Technicians can configure operating parameters for the corresponding operating modes based on the climate characteristics of different time periods and the user's environmental needs. For example, for the rainy season mode, configure the constant temperature dehumidification function and the fresh air function.
  • For the haze removal season mode mostly winter, it is equipped with purification functions, heating functions, etc.
  • the intelligent adjustment scenario is characterized by application seasons, and spring operation mode, summer operation mode, autumn operation mode, and winter operation mode are pre-stored.
  • spring the spring operating mode is preferred; in summer, the summer operating mode is preferred; in autumn, the autumn operating mode is preferred; in winter, the winter operating mode is preferred.
  • the air conditioner In spring operation mode, the air conditioner operates the purification function; in summer operation mode, the air conditioner operates the constant temperature dehumidification function; in autumn mode, the air conditioner operates the purification and humidification function; in winter mode, the air conditioner operates the learning heating function.
  • the intelligent adjustment scenario, the operating mode characterized by the application season, and the operating mode characterized by the user identity are in a top-down tree structure. That is, in the intelligent adjustment scenario, the operation mode characterized by the application season is selected, and in the first target operation mode characterized by the application season, the second target operation mode characterized by the user identity is selected.
  • the air conditioner is controlled to execute an operation corresponding to the control instruction, including:
  • the air conditioner is controlled to operate according to the selected air conditioning information.
  • the current air conditioning information corresponding to the control instruction refers to the operating mode characterized by the application season, that is, the operating parameter information of the first target operating mode. Selecting part or all of the current air conditioning information according to the execution attributes means selecting some or all of the operating parameters that match the execution attributes among the operating parameters of the first target operating mode to form the second target operating mode to control the air conditioner to operate according to the second target operating mode.
  • the air conditioner After selecting the summer operation mode in the intelligent adjustment scene, the air conditioner is controlled to run the constant temperature dehumidification function. Further, selection is made among a subset of summer operating modes based on user identity information.
  • the corresponding second target operation mode is the adult summer operation mode, and the corresponding operation information is to perform the constant temperature dehumidification function when the indoor temperature is greater than 25°C;
  • the corresponding second target operation mode is The operation mode is the children's summer operation mode, and the corresponding operation information is to perform the constant temperature dehumidification function when the indoor temperature is greater than 24°C;
  • the corresponding second target operation mode is the elderly summer operation mode, and the corresponding operation information is
  • the indoor temperature is greater than 26°C, the constant temperature dehumidification function is performed.
  • the first target mode is determined as follows:
  • the first target operating mode is determined in the intelligent adjustment scenario.
  • the determination of the first target operating mode can be achieved through intelligent adjustment of the scene information table.
  • Table 1 shows an intelligent adjustment scene information table.
  • the horizontal header is the pre-stored operating mode characterized by application season in the intelligent adjustment scenario;
  • the vertical header is the regional information of the air conditioner characterized by province information.
  • the content of the table is the month range corresponding to the above-mentioned application seasons in each province.
  • the air conditioner After the air conditioner determines the current month information to which the current time information belongs, it can determine the target operating mode corresponding to the regional information where the air conditioner is located and the current month information based on Table 1.
  • the target operating mode of the area where the air conditioner is located is the winter operating mode.
  • This solution can combine different regions in different months. A wide range of climate conditions to achieve accurate acquisition of the target operating mode, providing an accurate data basis for the operation of the comfortable home mode.
  • the purification mode is mainly promoted to purify the environment where the air conditioner is located.
  • the air conditioner obtains the ambient humidity of its environment; when the ambient humidity is higher than the humidity threshold, the air conditioner controls it to run in the constant temperature dehumidification mode.
  • the air conditioner can detect its The ambient humidity of the environment where it is located, and when the ambient humidity is higher than the humidity threshold, the air conditioner controls it to run in constant temperature dehumidification mode.
  • the humidity threshold can be 85%.
  • the constant temperature dehumidification mode refers to an operating mode that can reduce the ambient humidity while maintaining the ambient temperature.
  • the target set value for ambient humidity may be 52%.
  • the target operation mode is the summer operation mode
  • the constant temperature dehumidification mode is mainly recommended; since spring is also the constant temperature dehumidification mode, the operation modes in spring and summer are distinguished by execution attributes.
  • the seasonal information is spring, it is necessary to perform operations corresponding to the control instructions based on the current ambient humidity, including executing the constant temperature dehumidification function corresponding to the spring operation mode when the current ambient humidity is greater than the humidity threshold. If the seasonal information is summer, the constant temperature dehumidification function corresponding to the summer operation mode is directly operated.
  • the air conditioner obtains the concentration of particulate matter in its environment.
  • the air conditioner controls it to operate in purification mode. Then, set the execution attribute of the summer operation mode to the particle concentration in the environment.
  • the air conditioner When the concentration of particulate matter in the environment where the air conditioner is located is higher than or equal to the preset concentration, the air conditioner operates in the purification mode based on the constant temperature dehumidification mode in summer mode.
  • the preset concentration may be 75ug/m 3 . In this way, when it is determined that the concentration of particulate matter in the environment where the air conditioner is located is high, the purification mode can be run to purify the environment where the air conditioner is located, effectively reducing the concentration of particulate matter in the environment where the air conditioner is located.
  • the purification and humidification mode is mainly recommended to purify the environment where the air conditioner is located while maintaining humidity and avoiding excessive drying.
  • the air conditioner controls its operation purification mode and humidification mode to purify and humidify the environment where the air conditioner is located. And obtain the indoor carbon dioxide concentration, and turn on the fresh air function when the indoor carbon dioxide concentration is higher than the set threshold.
  • the air conditioner can detect the carbon dioxide concentration in the environment where it is located through its associated detection element, and when the carbon dioxide concentration in the environment where the air conditioner is located is higher than or equal to the preset concentration, the air conditioner controls its operation in the fresh air mode.
  • the preset concentration can be 1000ppm.
  • the fresh air mode can be operated to refresh the air in the environment where the air conditioner is located, and effectively reduce the environmental pollution of the air conditioner. carbon dioxide concentration.
  • the learning heating function is mainly promoted to operate the heating mode according to the target user's setting habits of the air conditioner.
  • the operations corresponding to the control instructions are performed, including:
  • the air conditioner is controlled to operate at a target set temperature.
  • the target user refers to the user with the highest priority in the environment where the air conditioner is located.
  • the target user's setting habit information for the air conditioner includes the target user's temperature adjustment trend and temperature adjustment range of the air conditioner.
  • the target user's temperature adjustment trend for the air conditioner includes one of upward adjustment or downward adjustment. For example, if the previous target user's temperature setting for the air conditioner was 25°C, and this time the target user's setting temperature for the air conditioner was 27°C, then the target user's temperature adjustment trend for the air conditioner would be upward; if the previous target user's temperature adjustment for the air conditioner was 27°C, The set temperature of the air conditioner is 25°C, and the target user's set temperature of the air conditioner is 23°C.
  • the target user's temperature adjustment trend for the air conditioner is downward.
  • the temperature adjustment range is the absolute value of the difference between the temperature set by the previous target user for the air conditioner and the temperature set by the target user for the air conditioner this time. For example, if the previous target user set the air conditioner temperature to 25°C, and this time the target user set the air conditioner temperature to 23°C, the temperature adjustment range is 2°C.
  • the air conditioner can obtain the target user's setting habit information for the air conditioner stored in the user setting information database of the server.
  • the server can be a cloud server; in another example, the air conditioner can also store historical usage data in it. Filter out information about the target users’ setting habits for air conditioners. In this way, accurate acquisition of setting habit information can be achieved.
  • the air conditioner After the air conditioner obtains the setting habit information of the target user for the air conditioner, it can determine the target setting temperature of the air conditioner in combination with the setting habit information. In this way, the target setting temperature that meets the target user's setting needs can be determined based on the target user's setting habit information for the air conditioner, providing an accurate data basis for the personalized control process of the air conditioner.
  • the air conditioner can be controlled to operate in the heating mode at the target set temperature.
  • the target setting temperature of the air conditioner can be determined based on the user's setting habit information of the air conditioner, and the air conditioner can be controlled to operate at the target set temperature to provide users with more accurate services.
  • the air conditioner determines the target setting temperature of the air conditioner based on the setting habit information, including:
  • the air conditioner determines the range of the temperature adjustment range.
  • the air conditioner determines a temperature control deviation value that matches the amplitude range.
  • the air conditioner determines the target setting temperature of the air conditioner based on the temperature adjustment trend, the temperature adjustment deviation value and the current set temperature of the air conditioner.
  • the target user's air conditioner setting habit information includes the target user's temperature adjustment trend and temperature adjustment range of the air conditioner.
  • the target user's temperature adjustment trend for the air conditioner includes one of upward adjustment or downward adjustment. For example, if the previous target user's temperature setting for the air conditioner was 25°C, and this time the target user's setting temperature for the air conditioner was 27°C, then the target user's temperature adjustment trend for the air conditioner would be upward; if the previous target user's temperature adjustment for the air conditioner was 27°C, The set temperature of the air conditioner is 25°C, and the target user's set temperature of the air conditioner is 23°C. The target user's temperature adjustment trend for the air conditioner is downward.
  • Temperature adjustment range The degree is the absolute value of the difference between the temperature set by the previous target user for the air conditioner and the temperature set by the target user for the air conditioner this time. For example, if the previous target user set the air conditioner temperature to 25°C, and this time the target user set the air conditioner temperature to 23°C, the temperature adjustment range is 2°C. Specifically, when the target user's temperature adjustment trend of the air conditioner is the same for multiple consecutive times, the air conditioner determines the range of the temperature adjustment range.
  • the same temperature adjustment trend of the air conditioner by the target user for multiple consecutive times includes: the temperature adjustment trend of the air conditioner by the target user for multiple consecutive times is upward or the temperature adjustment trend of the air conditioner by the target user for multiple consecutive times is downward.
  • Multiple times in a row means two or more times in a row.
  • the air conditioner can also pre-store multiple amplitude ranges.
  • the multiple amplitude ranges stored by the air conditioner may include 1°C to 2°C, 2°C to 4°C, 4°C to 6°C, and so on. In this way, the air conditioner can accurately determine the range of the temperature adjustment range after obtaining the temperature adjustment range.
  • the air conditioner can also pre-store matching temperature adjustment deviation values for each amplitude range.
  • the matching temperature adjustment deviation value is 1°C; if the amplitude range is 2°C ⁇ 4°C, the matching temperature adjustment deviation value is 2°C; if the amplitude range is 4°C ⁇ 6°C, the matching temperature adjustment deviation value is 4°C. In this way, after the air conditioner determines the amplitude range of the temperature adjustment amplitude, it can accurately determine the temperature adjustment deviation value that matches the amplitude range.
  • the air conditioner can combine the temperature adjustment trend, the temperature adjustment deviation value and the current set temperature of the air conditioner to achieve accurate acquisition of the target set temperature, so that the target set temperature determined in this way conforms to the temperature setting rules of the target user. Meet the target users' personalized control needs for air conditioners.
  • the air conditioner determines the target setting temperature of the air conditioner based on the temperature adjustment trend, temperature adjustment deviation value and the current set temperature of the air conditioner, including:
  • the air conditioner determines the sum of the temperature adjustment deviation value and the current set temperature of the air conditioner as the target setting temperature of the air conditioner; when the temperature adjustment trend is downward, the air conditioner determines the current setting temperature The difference between the temperature and the temperature adjustment deviation value is determined as the target setting temperature of the air conditioner.
  • the target set temperature of the air conditioner is determined to be 27°C; if the temperature If the adjustment trend is downward, the current set temperature of the air conditioner is 25°C, and the temperature adjustment deviation value is 2°C, then the target set temperature of the air conditioner is determined to be 23°C.
  • the air conditioner can combine the temperature adjustment trend, the temperature adjustment deviation value and the current set temperature of the air conditioner to accurately obtain the target set temperature, so that the target set temperature determined in this way conforms to the temperature setting rules of the target user. , to meet the target users’ personalized control needs for air conditioners.
  • a second target operating mode characterized by the user's identity including:
  • operating parameters of the first target operating mode are selected to form the second target operating mode.
  • FIG. 4 is a schematic flowchart of a control method for air conditioning provided by an embodiment of the present disclosure.
  • the control method for air conditioning is applied in the environment as shown in Figure 1.
  • the control method for air conditioning includes:
  • Step S401 The processor receives the user's control instruction.
  • Step S402 The processor parses the control instruction and determines the execution attributes of the control instruction; wherein the execution attributes include information indicating the user's identity.
  • Step S403 The processor controls the air conditioner to execute operations corresponding to the control instructions according to the execution attributes.
  • Step S404 When a new control instruction is received, the control attribute of the new control instruction is obtained.
  • Step S405 When the control attribute is exit, execute a new control instruction.
  • Step S406 When the control attribute is adjustment, determine the corresponding operation according to the adjustment intention of the new control instruction.
  • the control attribute is exit, which refers to the user's active instruction to exit the current mode.
  • exit voice command issued by the user, or the exit operation performed on the device side (the display screen of the air conditioner, the control panel of the air conditioner, the remote control of the air conditioner). It can also be an exit instruction issued by the user through a smartphone application.
  • the control attribute is adjustment, which refers to the instruction actively issued by the user to adjust the air conditioning function. For example, mode switching, fresh air, purification, dehumidification, humidification, air washing, sleep, self-cleaning and other functions switching, instructions for adjusting parameters such as temperature and wind speed.
  • mode switching fresh air, purification, dehumidification, humidification, air washing, sleep, self-cleaning and other functions switching, instructions for adjusting parameters such as temperature and wind speed.
  • determine the corresponding operation according to the adjustment intention of the new control instruction including:
  • the new control instruction and the current operating mode are mutually exclusive. If mutual exclusion is formed, the new control instruction and the specific mutual exclusion parameters of the current working mode are further obtained, and the specific types of the mutual exclusion parameters are determined, and based on this, the current mode is controlled to continue running or to exit immediately.
  • the new control instruction and the mutually exclusive parameters of the current working mode are deeply identified to determine whether the mutually exclusive parameters affect the reliability of the current working mode operation. In this way, instructions with low impact can be filtered out and executed based on mutually exclusive parameter types, which is conducive to improving the intelligence of the air conditioner to meet the personalized needs of users.
  • judging whether the new control instruction satisfies the mutual exclusion bar includes: obtaining the current operating parameters of the current working mode and the parameters to be adjusted corresponding to the new control instruction; matching the parameters to be adjusted with the current operating parameters to determine whether they exist Shared parameters; if there are no shared parameters, it is determined that the new control instruction does not satisfy the mutual exclusion condition; if there are shared parameters, it is determined that the new control instruction satisfies the mutual exclusion condition.
  • the embodiments of the present disclosure can more accurately determine mutual exclusion conditions, thereby being able to more reasonably adjust the operation of the current working mode. It is conducive to improving the intelligence of air conditioners to meet the personalized needs of users.
  • whether mutual exclusion occurs is determined according to the type of the new control instruction to perform the corresponding operation. Specifically, according to the adjustment intention of the new control instruction, the corresponding operation is determined, including:
  • the corresponding operation is performed.
  • the received new control instruction can be deeply identified to determine whether the new control instruction originates from the user's current needs.
  • instructions that users have a strong willingness to actively adjust can be screened out based on type and executed, which is conducive to improving the intelligence of the air conditioner to meet the personalized needs of users.
  • determining the type of the new control instruction includes: obtaining the source of the new control instruction; and the processor determines the type of the new control instruction based on the source of the new control instruction.
  • the specific type of the new control instruction can be determined based on its source.
  • the source of the new control instruction can reflect the initiator of the relevant control, and then it can be judged whether the new control instruction originates from the user's current needs. This can more reasonably adjust the operation of the current working mode, which is conducive to improving the intelligence of the air conditioner to meet the individual needs of users.
  • determining the type of the new control instruction according to the source of the new control instruction includes: when the source of the new control instruction is a preset port, determining the type of the new control instruction to be a user adjustment instruction; If the source of the new control command is not a preset port, the type of the new control command is determined to be a system self-identification command.
  • the embodiment of the present disclosure can determine the specific type of the new control instruction based on whether its source is the default port. new control The command "from the default port" indicates that the relevant new control command is issued by the user, and it can be judged that the new control command originates from the user's current needs. This can more reasonably adjust the operation of the current working mode, which is conducive to improving the intelligence of the air conditioner to meet the individual needs of users.
  • the initiating user corresponding to the user adjustment instruction is determined. Match the initiating user with the authorized user of the current working mode; when an authorized user with the same identity as the initiating user is matched, the air conditioner is controlled to exit the current working mode and the user adjustment instruction is executed. If an authorized user with the same identity as the initiating user is not matched, the air conditioner is controlled to continue running in the current working mode.
  • the disclosed embodiment further confirms the user identity and matches it with the authorized user of the current working mode, and can control the current working mode to make reasonable adjustments based on the legitimacy of the initiating user identity. This will help improve the intelligence of air conditioners to meet the individual needs of users.
  • the type of the new control instruction is a system self-identification instruction
  • the priority coefficient can be pre-configured according to the importance of the system's self-identification instructions.
  • the priority coefficient of instructions related to air conditioner safety can be adaptively adjusted higher to ensure that they can be executed promptly and accurately, which is beneficial to ensuring the safety performance of the air conditioner.
  • the disclosed embodiment can control the current working mode to make reasonable adjustments based on the importance of the system self-recognition command. This will help improve the intelligence of air conditioners to meet the individual needs of users.
  • FIG. 5 is a schematic diagram of a control device for air conditioning provided by an embodiment of the present application.
  • the control device for air conditioning can be implemented through software, hardware or a combination of both.
  • the embodiment of the present disclosure provides a control for air conditioning, including a receiving module 51 , a determining module 52 and an executing module 53 .
  • the receiving module 51 is configured to receive the user's control instruction;
  • the determining module 52 is configured to parse the control instruction and determine the execution attributes of the control instruction; wherein the execution attributes include information indicating the user's identity;
  • the execution module 53 is configured to control the air conditioner to perform an operation corresponding to the control instruction according to the execution attribute.
  • FIG. 6 is a schematic diagram of a control device for air conditioning provided by an embodiment of the present application.
  • for Air conditioning controls include:
  • the device may also include a communication interface (Communication Interface) 602 and a bus 603.
  • Communication interface 602 may be used for information transmission.
  • the processor 600 can call logical instructions in the memory 601 to execute the control method for air conditioning in the above embodiment.
  • the above-mentioned logical instructions in the memory 601 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.
  • the memory 601 can be used to store software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure.
  • the processor 600 executes the program instructions/modules stored in the memory 601 to execute functional applications and data processing, that is, to implement the control method for air conditioning in the above embodiment.
  • the memory 601 may include a stored program area and a stored data area, where the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data created according to the use of the terminal device, etc.
  • the memory 601 may include high-speed random access memory and may also include non-volatile memory.
  • An embodiment of the present disclosure provides an intelligent air conditioner, including the above control device for air conditioner.
  • an embodiment of the present disclosure provides an air conditioner 70 including the above-mentioned control device 50 (60) for the air conditioner.
  • the air conditioner 70 in the embodiment of the present disclosure also includes: an air conditioner main body, and the above-mentioned control device 50 (60) for the air conditioner.
  • the control device 50 (60) for the air conditioner is installed on the air conditioner main body.
  • the installation relationship described here is not limited to placement inside the air conditioner, but also includes installation connections with other components of the air conditioner, including but not limited to physical connections, electrical connections, or signal transmission connections.
  • the control device 50 (60) for air conditioning can be adapted to a feasible air conditioning body, thereby realizing other feasible embodiments.
  • Embodiments of the present disclosure provide a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are configured to execute the above control method for air conditioning.
  • Embodiments of the present disclosure provide a computer program product.
  • the computer program product includes a computer program stored on a computer-readable storage medium.
  • the computer program includes program instructions. When the program instructions are executed by a computer, the The computer executes the above control method for air conditioning.
  • An embodiment of the present disclosure provides a computer program that, when executed by a computer, causes the computer to implement the above method for controlling an air conditioner.
  • the above-mentioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.
  • a storage medium includes one or more instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure.
  • the aforementioned storage media can be non-transitory storage media, including: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.
  • the term “and/or” as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed items.
  • the term “comprise” and its variations “comprises” and/or “comprising” etc. refer to stated features, integers, steps, operations, elements, and/or The presence of a component does not exclude 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 statement “comprises a" does not exclude the presence of additional identical elements in a process, method or apparatus including the stated element.
  • each embodiment may focus on its differences from other embodiments, and the same and similar parts among various embodiments may be referred to each other.
  • the relevant parts can be referred 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. In actual implementation, there may be other division methods.
  • multiple units or components may be combined. Either it can be integrated into another system, or some features can be ignored, or not implemented.
  • the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, devices or units.
  • the indirect coupling or communication connection may be electrical, mechanical or other forms.
  • each functional unit in the embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more components for implementing the specified logical function(s).
  • Executable instructions may be included in the block.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two consecutive blocks may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved.

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Abstract

本申请涉及智能家电技术领域，公开一种用于空调的控制方法。该用于空调的控制方法包括：接收用户的控制指令；解析控制指令，确定控制指令的执行属性；其中，执行属性包括用于指示用户身份的信息；根据执行属性，控制空调执行与控制指令相应的操作。通过解析控制指令，以获取与控制指令对应的运行场景所需的执行属性，从而根据执行属性所对应的用户身份，控制空调执行控制指令。以此方案，控制空调运行按照控制指令运行时，能够结合不同用户对相同空气调节功能的不同需求强度，实现当前场景的智能化选择。以更加精准地为用户提供个性化的空调控制服务，满足用户对其所在环境的舒适性需求。本申请还公开一种用于空调的控制装置及智能空调。

Description

用于空调的控制方法与装置、智能空调
本申请基于申请号为202210857551.4、申请日为2022年7月20日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及智能家电技术领域，例如涉及一种用于空调的控制方法与装置、智能空调。
背景技术
随着生活水平的日益提高，用户对家电的选择不再是单单注重产品的质量，而是更注重产品能够带来的使用体验。
对于空调等室内空气调节设备，用户的需求在于获得高舒适性的环境体验。为了满足用户的需求，空调的功能逐渐扩展，控制也越来越智能化。相关技术中，提供一种空调的控制方法，预存有与多种对应于不同空气调节需求的运行场景，从而能够根据用户的选择，运行相应的场景模式。
在实现本公开实施例的过程中，发现相关技术中至少存在如下问题：
不同的用户对同一运行场景具有不同的调节强度需求，如不同的温度调节强度、不同的空气净化强度等。在控制空调运行时，对于同一运行场景，向空调下发同样的指令时，无法满足不同用户调节强度需求，从而无法实现与运行指令对应的调节目的，影响用户的使用舒适度。
发明内容
为了对披露的实施例的一些方面有基本的理解，下面给出了简单的概括。所述概括不是泛泛评述，也不是要确定关键/重要组成元素或描绘这些实施例的保护范围，而是作为后面的详细说明的序言。
本公开实施例提供了一种用于空调的控制方法与装置、智能空调，以提高空调选择当前运行场景时的智能化程度。
在一些实施例中，所述用于空调的控制方法，包括：接收用户的控制指令；解析所述控制指令，确定所述控制指令的执行属性；其中，所述执行属性包括用于指示用户身份的信息；根据所述执行属性，控制空调执行与所述控制指令相应的操作。
在一些实施例中，所述用于空调的控制装置，包括：接收模块，被配置为接收用户的控制指令；确定模块，被配置为解析所述控制指令，确定所述控制指令的执行属性；其中，所述执行属性包括用于指示用户身份的信息；执行模块，被配置为根据所述执行属性，控制空调执行与所述控制指令相应的操作。
在一些实施例中，所述用于空调的控制装置包括处理器和存储有程序指令的存储器， 所述处理器被配置为在运行所述程序指令时，执行如上述的用于空调的控制方法。
在一些实施例中，所述智能空调包括上述的用于空调的控制装置。
本公开实施例提供的用于空调的控制方法与装置、智能空调，可以实现以下技术效果：
通过解析控制指令，以获取与控制指令对应的运行场景所需的执行属性，从而根据执行属性所对应的用户身份，控制空调执行控制指令。以此方案，控制空调运行按照控制指令运行时，能够结合不同用户对相同空气调节功能的不同需求强度，实现当前场景的智能化选择。以更加精准地为用户提供个性化的空调控制服务，满足用户对其所在环境的舒适性需求。
以上的总体描述和下文中的描述仅是示例性和解释性的，不用于限制本申请。
附图说明
一个或多个实施例通过与之对应的附图进行示例性说明，这些示例性说明和附图并不构成对实施例的限定，附图中具有相同参考数字标号的元件示为类似的元件，附图不构成比例限制，并且其中：
图1是本公开实施例提供的用于空调的控制方法的系统环境示意图；
图2是本公开实施例提供的一个用于空调的控制方法的示意图；
图3是本公开实施例提供的另一个用于空调的控制方法的示意图；
图4是本公开实施例提供的另一个用于空调的控制方法的示意图；
图5是本公开实施例提供的一个用于空调的控制装置的示意图；
图6是本公开实施例提供的另一个用于空调的控制装置的示意图；
图7是本公开实施例提供的一个空调的示意图。
具体实施方式
为了能够更加详尽地了解本公开实施例的特点与技术内容，下面结合附图对本公开实施例的实现进行详细阐述，所附附图仅供参考说明之用，并非用来限定本公开实施例。在以下的技术描述中，为方便解释起见，通过多个细节以提供对所披露实施例的充分理解。然而，在没有这些细节的情况下，一个或多个实施例仍然可以实施。在其它情况下，为简化附图，熟知的结构和装置可以简化展示。
本公开实施例的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本公开实施例的实施例。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含。
除非另有说明，术语“多个”表示两个或两个以上。
本公开实施例中，字符“/”表示前后对象是一种“或”的关系。例如，A/B表示：A或B。
术语“和/或”是一种描述对象的关联关系，表示可以存在三种关系。例如，A和/或B，表示：A或B，或，A和B这三种关系。
术语“对应”可以指的是一种关联关系或绑定关系，A与B相对应指的是A与B之间是一种关联关系或绑定关系。
本公开实施例中，智能家电设备是指将微处理器、传感器技术、网络通信技术引入家电设备后形成的家电产品，具有智能控制、智能感知及智能应用的特征，智能家电设备的运作过程往往依赖于物联网、互联网以及电子芯片等现代技术的应用和处理，例如智能家电设备可以通过连接电子设备，实现用户对智能家电设备的远程控制和管理。
本公开实施例中，终端设备是指具有无线连接功能的电子设备，终端设备可以通过连接互联网，与如上的智能家电设备进行通信连接，也可以直接通过蓝牙、wifi等方式与如上的智能家电设备进行通信连接。在一些实施例中，终端设备例如为移动设备、电脑、或悬浮车中内置的车载设备等，或其任意组合。移动设备例如可以包括手机、智能家居设备、可穿戴设备、智能移动设备、虚拟现实设备等，或其任意组合，其中，可穿戴设备例如包括：智能手表、智能手环、计步器等。
图1是本公开实施例提供的用于空调的控制方法的系统环境示意图。该实施环境中包括空调11、无线路由器12、终端设备13和家庭云平台14。
其中，空调11用于实现对家居场景下室内空气的调节操作。空调11可以通过无线路由器12接入家中WiFi网络，与终端设备13进行通讯，或接入家庭云平台14，接收运行指令。用户也可以通过终端设备13内的应用程序，控制空调11自动进行空气调节操作。在一些实施例中，同一家庭场景下可以包括多个位于不同空间的空调，或多个位于同一空间的空调。在本实施例中未示出。
终端设备13，用于与空调11以及家庭云平台14通信。
家庭云平台14，用于实现无线路由器12与外界的通信，接收空调实时状态数据供大数据平台、应用程序服务订阅，接收并下发来自其他业务类服务器、大数据平台、应用程序端的空调调控指令。
可选地，在该实施环境中还包括大数据平台15，用于接收在家庭云平台端订阅的实时数据，以进行实时业务的计算及指令下发。在该大数据平台15中，其所获取的海量数据存储于底层数据库中，用于进行数据统计展现及业务分析。
图2是本公开实施例提供的一种用于空调的控制方法的流程示意图。该用于空调的控制方法应用于如图1所示的环境中，可在图1所示的空调中执行，也可在空调的控制终端执行，例如遥控器或者房间墙壁上的操作面板；也可在服务器中执行，如与空调通讯的家庭云平台；还可在终端设备执行，如智能手机、智能家电设备或智能家具系统的控制终端。 在本公开实施例中，以空调的处理器作为执行主体对方案进行说明。
结合图2所示，该用于空调的控制方法，包括：
步骤S201，处理器接收用户的控制指令。
这里，用户的控制指令是指由用户主动发出的控制指令。可以是用户发出的语音指令，也可以是用户通过设备端(空调的显示屏、空调的控制面板、空调的遥控器)进行的空调操作指令。如：对空调显示屏的按键、触屏等操作。智能空调也可以通过家庭云平台与智能手机(终端设备)的通讯，获取用户通过智能手机的应用程序下发的控制指令。
步骤S202，处理器解析控制指令，确定控制指令的执行属性；其中，执行属性包括用于指示用户身份的信息。
这里，执行属性是指空调为实现控制指令所对应的控制目的时，需要获取的信息。从而根据执行属性，确定对应设置的多个空调运行参数。在空调按照上述多个运行参数运行时，能够达到与控制指令相对应的运行目的。
步骤S203，处理器根据执行属性，控制空调执行与控制指令相应的操作。
如此，采用本公开实施例提供的用于空调的控制方法，通过解析控制指令，以获取与控制指令对应的运行场景所需的执行属性，从而根据执行属性所对应的用户身份，控制空调执行控制指令。以此方案，控制空调运行按照控制指令运行时，能够结合不同用户对相同空气调节功能的不同需求强度，实现当前场景的智能化选择。以更加精准地为用户提供个性化的空调控制服务，满足用户对其所在环境的舒适性需求。
进一步地，解析控制指令，还包括获取控制指令中的控制关键词；在控制指令的当前控制关键词为预设约束词的情况下，确定上述的执行属性；预设关键词对应的空调运行场景为智能调节场景。
不同的控制关键词具有对应的执行属性。例如，“调高温度”对应的执行属性包括当前设定温度。这样，在获取当前设定温度后，执行控制指令时，能够将设定温度调高，以加快空气调节速度，实现调高温度的目的。
一般地，控制关键词与执行属性的对应关系可为数据表的形式；一个控制关键词可以对应一组执行属性。这种情况下，可预先将控制关键词与执行属性的对应关系存储在存储器的数据库中。则，在本实施例中，控制指令的执行属性的确定，包括：
获取指令信息表；指令信息表中保存有控制关键词与空调运行模式的对应关系；
在指令信息表中，匹配与当前控制关键词对应的运行场景，并确定控制指令的执行属性。
如此，在获得当前控制关键词之后，通过查询数据库，即可获得当前控制关键词对应的执行属性。
智能调节场景，用于表示空调以提高用户舒适度为目的进行主动式场景选择的运行方案。在智能调节场景中预设有多种不同的运行模式，从而能够根据不同的空气调节需求和用户需求，通过主动服务，执行对应的目标运行模式。为用户提供空调使用的高端智慧体验，自动进行空气管理，以提高用户生活的舒适度和便捷性。
预设约束词为设定的，用于触发智能调节场景的特征词。这样，当控制关键词为预设约束词的情况下，表明用户的控制意图为执行智能调节场景。此时，通过获取执行属性，以确定智能调节场景的运行模式。
在本实施例中，预设约束词为舒适家。其对应的智能调节场景“舒适家”场景方案，是能够自动进行空气管理的运行模式。在该模式下，空调自动根据用户所在地域信息、用户身份信息确定空调的目标运行模式，并结合室内的空气质量情况、不同用户的空气调节强度需求，制定相应的空气调节方案，实现过程检测、主动感知决策的智能调节。
如此，当用户的语音控制指令包括“舒适家”词组，或用户通过空调的触摸屏、按钮操作的“舒适家”指令，或用户通过智能手机的应用程序下发的“舒适家”运行指令时，表明用户的控制意图为智能调节场景。
下面，结合具体方案对上述步骤进行具体说明。
图3是本公开实施例提供的一种用于空调的控制方法的流程示意图。该用于空调的控制方法应用于如图1所示的环境中，如图3所示，该用于空调的控制方法，包括：
步骤S301，处理器接收用户的控制指令。
步骤S302，在控制指令为语音指令的情况下，处理器解析控制指令，以提取控制指令的当前声纹信息。
这里，通过解析控制指令，以获取用于表示用户身份的声纹信息。不同的用户的声纹特征不同。
步骤S303，处理器根据当前声纹信息确定当前用户的身份；其中，用户的身份至少包括成人、老人、儿童。
空调的存储器中可预先保存用户声纹标识信息和用户身份信息之间的对应关系。
可预先获取用户身份信息和用户语音信息，并对控制指令对应的用户语音信息解析，得到当前声纹信息，从而，可配置和保存用户声纹标识信息和用户身份信息之间的对应关系。在一些实施例中，可接收配置声纹注册应用程序的终端发送的用户身份信息和用户语音信息，并对用户语音信息解析，得到用户声纹标识信息；从而，配置和保存用户声纹标识信息和用户身份信息之间的对应关系，使得根据对应关系，确定与当前声纹信息匹配的当前用户身份信息。
例如：用户通过配置了声纹注册应用APP的终端输入用户身份信息，包括：姓名、 年龄、性别等等中一种或多种信息，并且，还可输入用户语音信息，从而，可对用户语音信息解析，得到用户声纹标识voiceFlag信息，这样，进行注册以及认证后，即可配置和保存用户声纹标识信息和用户身份信息之间的对应关系。
由于存储器中保存了用户声纹标识信息和用户身份信息之间的对应关系，从而，根据对应关系，即可确定出与当前用户声纹标识信息匹配的当前用户身份信息。例如：空调的存储器可根据保存的对应关系，确定与当前声纹信息匹配的当前用户身份信息。
可选地，根据当前声纹信息确定当前用户的身份，包括：
获取用户信息表，用户信息表中预存有用户身份与声纹信息的对应关系；
在用户信息表中，匹配与当前声纹信息相对应的用户身份，作为当前用户的身份。
在本实施例中，根据用户的年龄对用户身份进行分类，将用户身份划分为成人用户、儿童用户和老人用户。
在一些实施例中，空调不支持存储用户身份信息的功能。则，可以通过机器学习算法，实现根据声纹信息确定用户的身份信息。
可选地，根据当前声纹信息确定当前用户的身份，包括：
将当前声纹信息输入已经训练的深度学习模型，将输出的用户身份作为当前用户的身份。
上述深度学习模型的训练过程，该过程包括：
获取训练数据集；该信道数据训练集至少包括一组用户身份和用户的声纹信息；
建立深度学习模型；
将训练数据集输入至深度学习网络模型，利用训练数据集对深度学习模型进行训练，并在每次训练过程中，依据输出的用户身份计算误差函数，以调节深度学习模型的参数；
当误差函数小于预设值时，认为深度学习模型已经训练完成，保存该模型作为已经训练的深度学习模型，以用于确定用户的身份。
如此，通过已经训练的深度学习模型，可以在输入当前声纹信息后，得到输出对应的用户身份，作为执行属性，以用于确定后续的运行策略。
步骤S304，处理器根据执行属性，控制空调执行与控制指令相应的操作。
在一些实施例中，控制指令以非语音指令的形式发出。例如，空调的显示屏、空调的控制面板、空调的遥控器进行的操作。也可以是用户通过智能手机的应用程序下发的指令。此时，可以根据设备关联用户确定上述的当前用户的身份。
则，解析控制指令，确定控制指令的执行属性，包括：
在控制指令为用户通过设备发出的指令时，解析控制指令，确定控制指令的发出设备；
将发出设备关联用户的身份，作为当前用户的身份。
如此，通过解析控制指令，以获取与控制指令对应的运行场景所需的执行属性，从而根据执行属性所对应的用户身份，控制空调执行控制指令。以此方案，控制空调运行按照控制指令运行时，能够结合不同用户对相同空气调节功能的不同需求强度，实现当前场景的智能化选择。以更加精准地为用户提供个性化的空调控制服务，满足用户对其所在环境的舒适性需求。
进一步地，在确定当前用户的身份后，还包括：推送当前用户的身份确认信息。
在实际应用中，为了提高场景选择的准确度，通过推送当前场景提示信息的方式，向用户推送身份确认信息。例如，在确定当前用户为老人用户的情况下，向用户推送“长辈好，智能调节模式已开启，为您开启新风功能”的语音信息。根据推送后，用户与设备的交互情况，确定是否需要调整当前用户的身份，以及与身份对应的运行模式。
可选地，在推送当前用户的身份确认信息后，获取设定时长内的用户发出的调节指令；在调节指令的调节意图为修改用户身份的情况下，根据调节后的用户身份，控制空调执行与控制指令相应的操作。
下面，结合具体方案，对根据当前用户的身份，控制空调执行与控制指令相应的操作进行说明。
可选地，控制空调执行与控制指令相应的操作，包括：
根据当前用户的身份，确定目标运行模式；
控制空调按照目标运行模式运行；
其中目标运行模式为智能调节场景下的预设运行模式之一。
这里，智能调节场景中预存有多种以用户身份为特征的运行模式。例如，成人模式、老人模式、儿童模式、孕妇模式等。技术人员可以根据不同用户对空气调节的强度承受能力，进行运行参数配置。例如，对相同的制冷功能，老人模式下的制冷设定温度高于成人模式下的制冷设定温度。
同时，智能调节场景中预存有多种以应用时间段为特征的运行模式。例如，制冷季模式、雨季模式、除霾季模式等。技术人员可以根据不同时间段的气候特点，以及用户对环境的需求对相应的运行模式进行运行参数配置。例如，对雨季模式，配置恒温除湿功能和新风功能。对除霾季模式(多为冬季)，配备净化功能、加热功能等。
在本实施例中，智能调节场景内以应用季节为特征，预存有春季运行模式、夏季运行模式、秋季运行模式、冬季运行模式。在春季，优先选择春季运行模式；在夏季，优先选择夏季运行模式；在秋季，优先选择秋季运行模式；在冬季，优先选择冬季运行模式。
春季运行模式下，空调运行净化功能；在夏季运行模式下，空调运行恒温除湿功能；在秋季模式下，空调运行净化加湿功能；在冬季模式下，空调运行学习型的制热功能。
在本实施例中，智能调节场景、以应用季节为特征的运行模式和以用户身份为特征的运行模式为自上向下的树状结构。即，在智能调节场景中选择以应用季节为特征的运行模式，在以应用季节为特征的第一目标运行模式中，选择以用户身份为特征的第二目标运行模式。
则，所述根据所述执行属性，控制空调执行与所述控制指令相应的操作，包括：
获得所述控制指令对应的当前空气调节信息；
根据所述执行属性选择所述当前空气调节信息中的部分或全部信息；
控制所述空调按照所选择的空气调节信息运行。
其中，与控制指令对应的当前空气调节信息是指以应用季节为特征的运行模式，即第一目标运行模式的运行参数信息。根据所述执行属性选择所述当前空气调节信息中的部分或全部信息，是指在第一目标运行模式的运行参数中，选择与执行属性相匹配的部分或全部运行参数，以形成第二目标运行模式，以控制空调按照第二目标运行模式运行。
以夏季运行模式为例对上述目标运行模式的确定进行说明。
在智能调节场景中选择夏季运行模式后，控制空调运行恒温除湿功能。进一步的根据用户身份信息，在夏季运行模式的子集中进行选择。
当用户身份为成人用户，则对应的第二目标运行模式为成人夏季运行模式，对应的运行信息为室内温度大于25℃时执行恒温除湿功能；当用户身份为儿童用户，则对应的第二目标运行模式为儿童夏季运行模式，对应的运行信息为室内温度大于24℃时执行恒温除湿功能；当用户身份为老人用户，则对应的第二目标运行模式为老人夏季运行模式，对应的运行信息为室内温度大于26℃时执行恒温除湿功能。
下面，对如何获取上述的以应用时间段为特征的运行模式(第一目标运行模式)进行说明。
第一目标模式通过如下方式确定：
根据当前时间信息、目标空调所在地域信息，在智能调节场景中确定第一目标运行模式。
在实际应用中，可以通过智能调节场景信息表实现第一目标运行模式的确定。
表1示出了一种智能调节场景信息表。

表1
其中，横向表头为智能调节场景中预存的以应用季节为特征的运行模式；纵向表头为以省份信息为特征的空调所在地域信息。表格内容为各省份与上述的应用季节相对应的月份范围。
空调在确定当前时间信息所属的当前月份信息后，可以结合表1，确定与空调所在地域信息、当前月份信息对应的目标运行模式。
示例地，若空调所在的地域信息为广西省，当前的日期信息对应的当前月份为2月，则确定空调所在地域的目标运行模式为冬季运行模式，以此方案，能够结合不同地域在不同月份范围的气候情况，实现目标运行模式的精准获取，为舒适家模式的运行提供了精准地数据基础。
下面，对第一目标运行模式进行说明。
在目标运行模式为春季运行模式的情况下，主推运行净化模式，以对空调所在环境进行环境净化。
可选地，在春季运行模式下，空调获取其所在环境的环境湿度；在环境湿度高于湿度阈值的情况下，空调控制其运行恒温除湿模式。
在本方案中，在空调接收到空调控制指令后，空调可以通过其关联的检测元件检测其 所在环境的环境湿度，并在环境湿度高于湿度阈值的情况下，空调控制其运行恒温除湿模式。这里，湿度阈值可以为85％。恒温除湿模式是指能够在维持环境温度保持不变的情况下降低环境湿度的运行模式。在一种示例中，环境湿度的目标设定值可以为52％。这样，能够在确定环境湿度较高的情况下，通过运行恒温除湿模式，以在维持环境温度不变的情况下降低室内的环境湿度，并在同时启动净化模式的情况下，有效清除空调所在环境的细菌、柳絮及花粉等空气污染物，降低环境中细菌、柳絮及花粉等空气污染物增加给用户带来的不良影响，满足用户对其所在环境的舒适性需求。
在目标运行模式为夏季运行模式的情况下，主推恒温除湿模式；由于春季也为恒温除湿模式，因此通过执行属性对春季与夏季的运行模式进行区分。
即，若季节信息为春季，则需要根据当前环境湿度，执行控制指令对应的操作，包括在当前环境湿度大于湿度阈值的情况下，执行春季运行模式对应的恒温除湿功能。而若季节信息为夏季，则直接运行夏季运行模式对应的恒温除湿功能。
进一步地，在目标季节信息为夏季的情况下，空调获取其所在环境的颗粒物浓度。在颗粒物浓度不低于预设浓度的情况下，空调控制其运行净化模式。则，将夏季运行模式的执行属性设置为环境内的颗粒物浓度。
在空调所在环境内的颗粒物浓度高于或等于预设浓度的情况下，空调在夏季模式的恒温除湿模式基础上，运行净化模式。这里，预设浓度可以为75ug/m3。这样，能够在确定空调所在环境内颗粒物浓度较高的情况下，通过运行净化模式，以对空调所在环境进行环境净化，有效降低空调所在环境的颗粒物浓度。
在目标运行模式为秋季运行模式的情况下，主推运行净化加湿模式，以对空调所在环境进行环境净化的同时，保持湿度，避免过度干燥。
可选地，在秋季运行模式下，空调控制其运行净化模式及加湿模式，以对空调所在环境进行净化加湿。并获取室内二氧化碳浓度，在室内二氧化碳浓度高于设定阈值的情况下，开启新风功能。
这样，空调可以通过其关联的检测元件检测其所在环境内的二氧化碳浓度，并在空调所在环境内的二氧化碳浓度高于或等于预设浓度的情况下，空调控制其运行新风模式。这里，预设浓度可以为1000ppm。如此，能够在确定空调所在环境内二氧化碳浓度较高的情况下，在秋季运行模式主推的净化加湿模式的基础上，运行新风模式，以对空调所在环境的空气进行焕新，有效降低空调所在环境的二氧化碳浓度。
在目标运行模式为冬季运行模式的情况下，主推学习型的制热功能，以根据目标用户对空调的设定习惯运行制热模式。
具体地，在目标运行模式为冬季运行模式时，执行控制指令对应的操作，包括：
根据目标用户的设定习惯信息，确定空调的目标设定温度。
空调控制其在目标设定温度下运行。
这里，目标用户是指空调所在环境内优先级最高的用户。目标用户对空调的设定习惯信息包括目标用户对空调的温度调节趋势及温度调节幅度。目标用户对空调的温度调节趋势包括上调或下调中的一种。例如，若前一次目标用户对空调的设定温度为25℃，本次目标用户对空调的设定温度为27℃，则目标用户对空调的温度调节趋势为上调；若前一次目标用户对空调的设定温度为25℃，本次目标用户对空调的设定温度为23℃，则目标用户对空调的温度调节趋势为下调。温度调节幅度为前一次目标用户对空调的设定温度与本次目标用户对空调的设定温度的差值的绝对值。例如，若前一次目标用户对空调的设定温度为25℃，本次目标用户对空调的设定温度为23℃，则温度调节幅度为2℃。具体地，空调可以获得服务端的用户设定信息库中存储的目标用户对空调的设定习惯信息，服务端可以为云端服务器；在另一种示例中，空调还可以在其存储的历史使用数据中筛选出目标用户对空调的设定习惯信息。以此方式，能够实现设定习惯信息的精准获取。
进一步地，在空调获得目标用户对空调的设定习惯信息后，可以结合设定习惯信息，确定空调的目标设定温度。这样，能够结合目标用户对空调的设定习惯信息确定符合目标用户设定需求的目标设定温度，为空调的个性化控制过程提供了准确的数据基础。
进一步地，可以在确定空调的目标设定温度后，空调控制其在目标设定温度下运行制热模式。
以此方案，能够在空调执行冬季运行模式的情况下，结合用户对空调的设定习惯信息，确定空调的目标设定温度，并控制空调在目标设定温度下运行，以更加精准地为用户提供个性化的空调控制服务，满足用户对其所在环境的舒适性需求。
进一步地，空调根据设定习惯信息，确定空调的目标设定温度，包括：
在连续多次目标用户对空调的温度调节趋势均相同的情况下，空调确定温度调节幅度所在的幅度范围。
空调确定与幅度范围相匹配的调温偏差值。
空调根据温度调节趋势、调温偏差值及空调当前的设定温度，确定空调的目标设定温度。
在本方案中，目标用户对空调的设定习惯信息包括目标用户对空调的温度调节趋势及温度调节幅度。目标用户对空调的温度调节趋势包括上调或下调中的一种。例如，若前一次目标用户对空调的设定温度为25℃，本次目标用户对空调的设定温度为27℃，则目标用户对空调的温度调节趋势为上调；若前一次目标用户对空调的设定温度为25℃，本次目标用户对空调的设定温度为23℃，则目标用户对空调的温度调节趋势为下调。温度调节幅 度为前一次目标用户对空调的设定温度与本次目标用户对空调的设定温度的差值的绝对值。例如，若前一次目标用户对空调的设定温度为25℃，本次目标用户对空调的设定温度为23℃，则温度调节幅度为2℃。具体地，在连续多次目标用户对空调的温度调节趋势均相同的情况下，空调确定温度调节幅度所在的幅度范围。这里，连续多次目标用户对空调的温度调节趋势均相同包括：连续多次目标用户对空调的温度调节趋势均为上调或连续多次目标用户对空调的温度调节趋势均为下调。连续多次是指连续两次或两次以上。空调还可以预先存储多个幅度范围。作为一种示例，空调存储的多个幅度范围可以包括1℃～2℃、2℃～4℃、4℃～6℃等。这样，空调可以在获得温度调节幅度后，精准确定温度调节幅度所在的幅度范围。
进一步地，空调还可以预先存储每个幅度范围各自匹配的调温偏差值。作为一种示例，若幅度范围为1℃～2℃，则与之相匹配的调温偏差值为1℃；若幅度范围为2℃～4℃，则与之相匹配的调温偏差值为2℃；若幅度范围为4℃～6℃，则与之相匹配的调温偏差值为4℃。这样，可以在空调确定温度调节幅度所在的幅度范围后，精准确定与幅度范围相匹配的调温偏差值。
进一步地，空调可以结合温度调节趋势、调温偏差值及空调当前的设定温度，实现目标设定温度的精准获取，使得通过该方式确定的目标设定温度符合目标用户的温度设定规律，满足目标用户对空调的个性化控制需求。
具体地，空调根据温度调节趋势、调温偏差值及空调当前的设定温度，确定空调的目标设定温度，包括：
在温度调节趋势为上调的情况下，空调将调温偏差值与空调当前的设定温度之和确定为空调的目标设定温度；在温度调节趋势为下调的情况下，空调将当前的设定温度与调温偏差值之差确定为空调的目标设定温度。
在本方案中，作为一种示例，若温度调节趋势为上调、空调当前的设定温度为25℃、调温偏差值为2℃，则将空调的目标设定温度确定为27℃；若温度调节趋势为下调、空调当前的设定温度为25℃、调温偏差值为2℃，则将空调的目标设定温度确定为23℃。以此方案，空调能够结合温度调节趋势、调温偏差值及空调当前的设定温度，实现目标设定温度的精准获取，使得通过该方式确定的目标设定温度符合目标用户的温度设定规律，满足目标用户对空调的个性化控制需求。
进一步地，在第一目标运行模式中，选择以用户身份为特征的第二目标运行模式，包括：
在第一目标运行模式的运行参数中，选择与当前用户身份相对应的运行参数组成第二目标运行模式。
以夏季运行模式下，第二目标运行模式的确定为例，对上述步骤进行说明。
表2中示出了夏季运行模式(第一目标运行模式)的运行参数；在表2中选择与当前用户身份向对应的运行参数组成第二目标运行模式。即，当用户为成人用户时，第二目标运行模式对应的运行指令为：室内温度>25度，开启恒温除湿；二氧化碳浓度>＝1000ppm时开启新风；颗粒物浓度>＝75ug/m3时开启净化。即可控制空调执行相应的操作。
表2
图4是本公开实施例提供的一种用于空调的控制方法的流程示意图。该用于空调的控制方法应用于如图1所示的环境中，如图4所示，该用于空调的控制方法，包括：
步骤S401，处理器接收用户的控制指令。
步骤S402，处理器解析控制指令，确定控制指令的执行属性；其中，执行属性包括用于指示用户身份的信息。
步骤S403，处理器根据执行属性，控制空调执行与控制指令相应的操作。
步骤S404，在接收到新的控制指令的情况下，获取新的控制指令的控制属性。
步骤S405，在控制属性为退出的情况下，执行新的控制指令。
步骤S406，在控制属性为调节的情况下，根据新的控制指令的调节意图，确定对应的操作。
这里，根据新的控制指令，确定是否退出当前智能调节场景(舒适家场景方案)。
控制属性为退出，是指用户主动发出的退出当前模式指令。如用户发出的退出语音指令，或在设备端(空调的显示屏、空调的控制面板、空调的遥控器)进行的退出操作。也可以是用户通过智能手机的应用程序下发的退出指令。
控制属性为调节，是指用户主动发出的调节空调功能的指令。如，模式切换，新风、净化、除湿、加湿、洗空气，睡眠、自清洁等功能切换，温度、风速等参数调节的指令。当接收到该类指令时，根据指令的调节意图，来确定对应的操作。
可选地，根据新的控制指令的调节意图，确定对应的操作，包括：
判断新的控制指令是否满足互斥条件；
在满足互斥条件的情况下，获取新的控制指令与当前模式的互斥参数；
根据互斥参数的类型，执行对应的操作。
这里，判断新的控制指令与当前运行模式二者是否会形成互斥。若形成互斥，则进一步获取新的控制指令与当前工作模式的具体互斥参数，以及确定互斥参数的具体类型，并据此控制当前模式继续运行或者立即退出。由此，对新的控制指令与当前工作模式的互斥参数进行深度识别，以判断该互斥参数是否影响当前工作模式运行的可靠性。从而能够基于互斥参数类型筛选出影响程度不高的指令并执行，有利于提升空调的智能化程度，以满足用户的个性化需求。
可选地，判断新的控制指令是否满足互斥条，包括：获取当前工作模式的当前运行参数和新的控制指令对应的待调节参数；将待调节参数与当前运行参数进行匹配，判断是否存在共有参数；在不存在共有参数的情况下，确定新的控制指令不满足互斥条件；在存在共有参数的情况下，确定新的控制指令满足互斥条件。这样，通过比较当前工作模式的当前运行参数和控制指令对应的待调节参数，能够确定二者对应的参数是否发生交叉，并据此进一步判断出控制指令是否满足互斥条件。本公开实施例能够较准确地判定互斥条件，从而能够更合理地调整当前工作模式的运行。有利于提升空调的智能化程度，以满足用户的个性化需求。
在另一些实施例中，根据新的控制指令的类型确定是否发生互斥，以执行对应的操作。具体地，根据新的控制指令的调节意图，确定对应的操作，包括：
判断新的控制指令是否满足互斥条件；
在满足互斥条件的情况下，确定新的控制指令的类型；
根据新的控制指令的类型，以执行对应的操作。
如此，能够对接收到的新的控制指令进行深度识别，以判断该新的控制指令是否源自用户当前需求。从而能够基于类型筛选出用户主动调节意愿较强的指令并执行，有利于提升空调的智能化程度，以满足用户的个性化需求。
可选地，确定新的控制指令的类型，包括：获取新的控制指令的来源；处理器根据新的控制指令的来源，确定新的控制指令的类型。这样，能够结合新的控制指令的来源来判断其具体类型。新的控制指令的来源可以反映相关控制的发起者，进而可以判断该新的控制指令是否源自用户当前需求。从而能够更合理地调整当前工作模式的运行，有利于提升空调的智能化程度，以满足用户的个性化需求。
可选地，根据新的控制指令的来源，确定新的控制指令的类型，包括：在新的控制指令的来源为预设端口的情况下，确定新的控制指令的类型为用户调节指令；在新的控制指令的来源不为预设端口的情况下，确定新的控制指令的类型为系统自识别指令。这样，本公开实施例能够结合新的控制指令的来源是否为预设端口来判断其具体类型。新的控制指 令来自预设端口表明相关新的控制指令由用户下发，进而可以判断该新的控制指令源自用户当前需求。从而能够更合理地调整当前工作模式的运行，有利于提升空调的智能化程度，以满足用户的个性化需求。
进一步地，在新的控制指令的类型为用户调节指令的情况下，确定用户调节指令对应的发起用户。将发起用户与当前工作模式的授权用户进行匹配；在匹配到与发起用户身份一致的授权用户的情况下，控制空调退出当前工作模式，并执行用户调节指令。在未匹配到与发起用户身份一致的授权用户的情况下，控制空调继续运行当前工作模式。
这样，当识别到新的控制指令为用户调节指令时，表明该新的控制指令由用户发起。但并非所有用户的指令均需要被执行。本公开实施例进一步确认用户身份并将其与当前工作模式的授权用户进行匹配，能够结合发起用户身份的合法性来控制当前工作模式作出合理调整。从而有利于提升空调的智能化程度，以满足用户的个性化需求。
进一步地，在新的控制指令的类型为系统自识别指令的情况下，比较系统自识别指令的优先级系数和当前工作模式的优先级系数；在系统自识别指令的优先级系数小于或等于当前工作模式的优先级系数的情况下，控制空调继续运行当前工作模式。在系统自识别指令的优先级系数大于当前工作模式的优先级系数的情况下，控制空调退出当前工作模式，并执行系统自识别指令。
可选地，优先级系数可根据系统自识别指令的重要程度进行预先配置。具体地，与空调安全相关的指令的优先级系数可适应性调高一些，以确保其能及时准确执行，有利于保障空调的安全性能。
这样，当识别到新的控制指令为系统自识别指令时，表明该新的控制指令并非由用户而是由系统自主发起。而不同的系统自识别指令的迫切程度各不相同。本公开实施例通过比较系统自识别指令与当前工作模式的优先级系数，能够结合系统自识别指令的重要程度来控制当前工作模式作出合理调整。从而有利于提升空调的智能化程度，以满足用户的个性化需求。
图5是本申请实施例提供的一种用于空调的控制装置的示意图。该用于空调的控制装置可通过软件、硬件或二者结合形式实现。
结合图5所示，本公开实施例提供一种用于空调的控制，包括接收模块51、确定模块52和执行模块53。接收模块51被配置为接收用户的控制指令；确定模块52被配置为解析所述控制指令，确定所述控制指令的执行属性；其中，所述执行属性包括用于指示用户身份的信息；执行模块53被配置为根据所述执行属性，控制空调执行与所述控制指令相应的操作。
图6是本申请实施例提供的一种用于空调的控制装置的示意图。结合图6所示，用于 空调的控制装置包括：
处理器(processor)600和存储器(memory)601。可选地，该装置还可以包括通信接口(Communication Interface)602和总线603。其中，处理器600、通信接口602、存储器601可以通过总线603完成相互间的通信。通信接口602可以用于信息传输。处理器600可以调用存储器601中的逻辑指令，以执行上述实施例的用于空调的控制方法。
此外，上述的存储器601中的逻辑指令可以通过软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。
存储器601作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序，如本公开实施例中的方法对应的程序指令/模块。处理器600通过运行存储在存储器601中的程序指令/模块，从而执行功能应用以及数据处理，即实现上述实施例中用于空调的控制方法。
存储器601可包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端设备的使用所创建的数据等。此外，存储器601可以包括高速随机存取存储器，还可以包括非易失性存储器。
本公开实施例提供了一种智能空调，包含上述的用于空调的控制装置。
结合图7所示，本公开实施例提供了一种空调70，包含上述的用于空调的控制装置50(60)。
本公开实施例的空调70，还包括：空调主体，以及上述的用于空调的控制装置50(60)，用于空调的控制装置50(60)被安装于空调主体。这里所表述的安装关系，并不仅限于在空调内部放置，还包括了与空调的其他元器件的安装连接，包括但不限于物理连接、电性连接或者信号传输连接等。本领域技术人员可以理解的是，用于空调的控制装置50(60)可以适配于可行的空调主体，进而实现其他可行的实施例。
本公开实施例提供了一种计算机可读存储介质，存储有计算机可执行指令，所述计算机可执行指令设置为执行上述用于空调的控制方法。
本公开实施例提供了一种计算机程序产品，所述计算机程序产品包括存储在计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行上述用于空调的控制方法。
本公开实施例提供了一种计算机程序，当所述计算机程序被计算机执行时，使所述计算机实现上述用于控制空调的方法。
上述的计算机可读存储介质可以是暂态计算机可读存储介质，也可以是非暂态计算机可读存储介质。
本公开实施例的技术方案可以以软件产品的形式体现出来，该计算机软件产品存储在 一个存储介质中，包括一个或多个指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本公开实施例所述方法的全部或部分步骤。而前述的存储介质可以是非暂态存储介质，包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等多种可以存储程序代码的介质，也可以是暂态存储介质。
以上描述和附图充分地示出了本公开的实施例，以使本领域的技术人员能够实践它们。其他实施例可以包括结构的、逻辑的、电气的、过程的以及其他的改变。实施例仅代表可能的变化。除非明确要求，否则单独的部件和功能是可选的，并且操作的顺序可以变化。一些实施例的部分和特征可以被包括在或替换其他实施例的部分和特征。而且，本申请中使用的用词仅用于描述实施例并且不用于限制权利要求。如在实施例以及权利要求的描述中使用的，除非上下文清楚地表明，否则单数形式的“一个”(a)、“一个”(an)和“所述”(the)旨在同样包括复数形式。类似地，如在本申请中所使用的术语“和/或”是指包含一个或一个以上相关联的列出的任何以及所有可能的组合。另外，当用于本申请中时，术语“包括”(comprise)及其变型“包括”(comprises)和/或包括(comprising)等指陈述的特征、整体、步骤、操作、元素，和/或组件的存在，但不排除一个或一个以上其它特征、整体、步骤、操作、元素、组件和/或这些的分组的存在或添加。在没有更多限制的情况下，由语句“包括一个…”限定的要素，并不排除在包括所述要素的过程、方法或者设备中还存在另外的相同要素。本文中，每个实施例重点说明的可以是与其他实施例的不同之处，各个实施例之间相同相似部分可以互相参见。对于实施例公开的方法、产品等而言，如果其与实施例公开的方法部分相对应，那么相关之处可以参见方法部分的描述。
本领域技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，可以取决于技术方案的特定应用和设计约束条件。所述技术人员可以对每个特定的应用来使用不同方法以实现所描述的功能，但是这种实现不应认为超出本公开实施例的范围。所述技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
本文所披露的实施例中，所揭露的方法、产品(包括但不限于装置、设备等)，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，可以仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另外，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元 的间接耦合或通信连接，可以是电性，机械或其它的形式。所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例。另外，在本公开实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
附图中的流程图和框图显示了根据本公开实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分，所述模块、程序段或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这可以依所涉及的功能而定。在附图中的流程图和框图所对应的描述中，不同的方框所对应的操作或步骤也可以以不同于描述中所披露的顺序发生，有时不同的操作或步骤之间不存在特定的顺序。例如，两个连续的操作或步骤实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这可以依所涉及的功能而定。框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或动作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。

Claims (12)

  1. 一种用于空调的控制方法，其特征在于，包括：
    接收用户的控制指令；
    解析所述控制指令，确定所述控制指令的执行属性；其中，所述执行属性包括用于指示用户身份的信息；
    根据所述执行属性，控制空调执行与所述控制指令相应的操作。
  2. 根据权利要求1所述的控制方法，其特征在于，所述解析所述控制指令，确定所述控制指令的执行属性，包括：
    在所述控制指令为语音指令的情况下，
    解析所述控制指令，以提取所述控制指令的当前声纹信息；
    根据所述当前声纹信息确定所述当前用户的身份；
    其中，所述用户的身份至少包括成人、老人、儿童。
  3. 根据权利要求2所述的控制方法，其特征在于，所述根据所述当前声纹信息确定所述当前用户的身份，包括：
    获取用户信息表，所述用户信息表中预存有用户身份与声纹信息的对应关系；
    在所述用户信息表中，匹配与所述当前声纹信息相对应的用户身份，作为当前用户的身份。
  4. 根据权利要求1至3任一项所述的控制方法，其特征在于，所述解析所述控制指令，确定所述控制指令的执行属性，包括：
    在所述控制指令为用户通过设备发出的指令时，解析所述控制指令，确定所述控制指令的发出设备；
    将所述发出设备关联用户的身份，作为所述当前用户的身份。
  5. 根据权利要求1至4任一所述的控制方法，其特征在于，在确定所述当前用户的身份后，还包括：
    推送当前用户的身份确认信息。
  6. 根据权利要求1至5任一所述的控制方法，其特征在于，所述根据所述执行属性，控制空调执行与所述控制指令相应的操作，包括：
    获得所述控制指令对应的当前空气调节信息；
    根据所述执行属性选择所述当前空气调节信息中的部分或全部信息；
    控制所述空调按照所选择的空气调节信息运行。
  7. 根据权利要求1至6任一所述的控制方法，其特征在于，控制空调执行与所述 控制指令相应的操作，还包括：
    在接收到新的控制指令的情况下，获取所述新的控制指令的控制属性；
    在所述控制属性为退出的情况下，执行所述新的控制指令；
    在所述控制属性为调节的情况下，根据所述新的控制指令的调节意图，确定对应的操作。
  8. 一种用于空调的控制装置，其特征在于，包括：
    接收模块，被配置为接收用户的控制指令；
    确定模块，被配置为解析所述控制指令，确定所述控制指令的执行属性；其中，所述执行属性包括用于指示用户身份的信息；
    执行模块，被配置为根据所述执行属性，控制空调执行与所述控制指令相应的操作。
  9. 一种用于空调的控制装置，包括处理器和存储有程序指令的存储器，其特征在于，所述处理器被配置为在运行所述程序指令时，执行如权利要求1至7任一项所述的用于空调的控制方法。
  10. 一种智能空调，其特征在于，包括空调主体，以及被安装于空调主体的如权利要求8或9所述的用于空调的控制装置。
  11. 一种计算机程序，当所述计算机程序被计算机执行时，使所述计算机实现如权利要求1至7任一项所述的用于空调的控制方法。
  12. 一种计算机程序产品，所述计算机程序产品包括存储在计算机可读存储介质上的计算机指令，当所述程序指令被计算机执行时，使所述计算机实现如权利要求1至7任一项所述的用于空调的控制方法。
PCT/CN2023/088847 2022-07-20 2023-04-18 用于空调的控制方法与装置、智能空调 WO2024016757A1 (zh)

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