WO2025246764A1 - 空调风频控制方法、装置、空调及计算机可读存储介质 - Google Patents

空调风频控制方法、装置、空调及计算机可读存储介质

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Publication number
WO2025246764A1
WO2025246764A1 PCT/CN2025/091532 CN2025091532W WO2025246764A1 WO 2025246764 A1 WO2025246764 A1 WO 2025246764A1 CN 2025091532 W CN2025091532 W CN 2025091532W WO 2025246764 A1 WO2025246764 A1 WO 2025246764A1
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WIPO (PCT)
Prior art keywords
control
cycle
air conditioner
steady
parameter
Prior art date
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Pending
Application number
PCT/CN2025/091532
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English (en)
French (fr)
Inventor
樊其锋
唐善玄
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GD Midea Air Conditioning Equipment Co Ltd
Original Assignee
GD Midea Air Conditioning Equipment Co Ltd
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Publication of WO2025246764A1 publication Critical patent/WO2025246764A1/zh
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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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
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • 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
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • 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
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump 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
    • F24F11/88—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
    • 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
    • F24F2110/74—Ozone
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • This application relates to the field of air conditioning technology, and in particular to an air conditioning fan frequency control method, device, air conditioner, and computer-readable storage medium.
  • the main objective of this application is to provide an air conditioning fan frequency control method, device, air conditioner, and computer-readable storage medium, addressing the technical problem of how to improve the comfort of air conditioning temperature control strategies.
  • this application provides an air conditioning fan frequency control method, the air conditioning fan frequency control method comprising:
  • steady-state control parameters of the air conditioner when it is in a stable state wherein the steady-state control parameters include at least one of the compressor frequency and the fan speed;
  • the target control parameters of the air conditioner are determined based on the preset control cycle, maximum offset, control step size and the steady-state control parameters, wherein the value of the target control parameters fluctuates with time within the parameter range corresponding to the steady-state control parameters and the maximum offset.
  • the air conditioner is operated based on the target control parameters.
  • the step of determining the target control parameters of the air conditioner based on a preset control period, maximum offset, control step size, and steady-state control parameters includes:
  • a parameter range is determined, wherein the upper boundary of the parameter range is the sum of the steady-state control parameters and the maximum offset, and the lower boundary of the parameter range is the difference between the steady-state control parameters and the maximum offset;
  • the target control parameters are updated based on the control step size, wherein the values of the target control parameters are within the parameter range.
  • control cycle includes multiple sub-cycles
  • the step of updating the target control parameters based on the control step size within the control cycle includes:
  • the value of the target control parameter is increased every minute of the cycle, starting from the lower boundary, according to the control step size.
  • the maximum offset is equal to half the product of the control step size and the number of minutes.
  • the value of the target control parameter is reduced every minute of the cycle, starting from the upper boundary, according to the control step size.
  • control cycle includes multiple sub-cycles
  • the step of updating the target control parameters based on the control step size within the control cycle includes:
  • the lower boundary is determined as the target control parameter
  • the sum of the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next sub-cycle
  • the difference between the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next cycle, until the target control parameter is equal to the lower boundary.
  • control cycle includes multiple sub-cycles
  • the step of updating the target control parameters based on the control step size within the control cycle includes:
  • the steady-state control parameter is determined as the target control parameter
  • the sum of the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next sub-cycle
  • the difference between the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next minute cycle, until the target control parameter is equal to the lower boundary;
  • the step of obtaining the steady-state control parameters of the air conditioner in a stable state includes:
  • the average control parameters of the air conditioner over a preset period of time are determined as steady-state control parameters.
  • the mode control parameter of the air conditioner over a preset period of time can be determined as the steady-state control parameter
  • the central control parameters of the air conditioner over a preset period of time can be determined as steady-state control parameters
  • control parameters corresponding to when the air conditioner enters a stable state can be determined as steady-state control parameters.
  • the method prior to the step of obtaining the steady-state control parameters of the air conditioner in a stable state, the method further includes:
  • the air conditioner is determined to have entered a stable state.
  • the air conditioner is determined to have entered a stable state if the absolute value of the difference between the average ambient temperature and the set temperature within a preset time period is not greater than the first preset threshold.
  • the air conditioner is determined to have entered a stable state if the absolute values of the differences between the highest and lowest ambient temperatures within a preset time period and the set temperature are not greater than the first preset threshold.
  • the air conditioner is determined to have entered a stable state.
  • this application also provides an air conditioning fan frequency control device, the device comprising:
  • the parameter acquisition module is used to acquire steady-state control parameters of the air conditioner when it is in a stable state, wherein the steady-state control parameters include at least one of the compressor frequency and the fan speed;
  • the parameter determination module is used to determine the target control parameters of the air conditioner based on the preset control cycle, maximum offset, control step size and the steady-state control parameters, wherein the value of the target control parameters fluctuates with time within the parameter range corresponding to the steady-state control parameters and the maximum offset.
  • the operation control module is used to control the operation of the air conditioner based on the target control parameters.
  • this application also provides an air conditioner, which is a physical device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the steps of the air conditioner fan frequency control method as described above.
  • this application also provides a readable storage medium, which is a computer-readable storage medium, storing a program that implements an air conditioning fan frequency control method.
  • the program that implements the air conditioning fan frequency control method is executed by a processor to implement the steps of the air conditioning fan frequency control method as described above.
  • this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the air conditioning fan frequency control method described above.
  • Figure 1 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • Figure 2 is a schematic diagram showing the fluctuation of the compressor frequency of the air conditioner around the steady-state control parameters in an embodiment of this application;
  • FIG. 3 is a schematic diagram of the entire process of the air conditioning fan frequency control method in the embodiment of this application;
  • Figure 4 is a schematic diagram of the structural composition of an air conditioning fan frequency control device according to an embodiment of this application.
  • FIG. 5 is a schematic diagram of the equipment structure of the hardware operating environment involved in the air conditioning fan frequency control method in the embodiments of this application;
  • Figure 6 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • Figure 7 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • Figure 8 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • Figure 9 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • Figure 10 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • Figure 11 is a flowchart illustrating an embodiment of the air conditioning fan frequency control method in this application.
  • the executing entity of the air conditioning fan frequency control method embodiment of this application can be a computing service device with data processing, network communication, and program execution functions, such as an air conditioner controller, or an electronic device or control device capable of realizing the above functions.
  • the following description uses an air conditioner controller as the executing entity to illustrate this embodiment and the following embodiments.
  • the air conditioning fan frequency control method includes:
  • Step S10 Obtain the steady-state control parameters of the air conditioner when it is in a stable state, wherein the steady-state control parameters include at least one of the compressor frequency and the fan speed;
  • a stable state refers to the air conditioner operating in a temperature-maintaining state, meaning the ambient temperature has reached the user-input set temperature and no significant adjustment is needed.
  • acquiring steady-state control parameters such as the air conditioner's compressor frequency and fan speed can serve as the data basis for determining the target control parameters during subsequent dynamic fan frequency offset control.
  • the control mode corresponding to the air conditioning fan frequency control method can be activated by a preset control command, which gives users greater autonomy and flexibility and meets their personalized air conditioning usage needs.
  • Step S20 Determine the target control parameters of the air conditioner according to the preset control cycle, maximum offset, control step size and the steady-state control parameters, wherein the value of the target control parameters fluctuates with time within the parameter range corresponding to the steady-state control parameters and the maximum offset.
  • Step S30 Control the operation of the air conditioner based on the target control parameters.
  • parameters such as control period, maximum offset, and control step size can be pre-set to control the fluctuation of the target control parameter.
  • the control period refers to the total time for adjusting the target control parameter once. After one control period, subsequent control periods continue to control the fluctuation of the target control parameter using the same control method.
  • the maximum offset refers to the maximum deviation of the target control parameter relative to the steady-state control parameter during its change. It is understood that the maximum offset should not be too large, otherwise it will cause drastic changes in ambient temperature, affecting the user experience.
  • the control step size refers to the magnitude of each adjustment when adjusting the target control parameter.
  • the value of the target control parameter can be adjusted within the control period, causing the target control parameter to fluctuate over time within the parameter range corresponding to the steady-state control parameter and the maximum offset.
  • the air conditioner is then controlled according to the target control parameter. Due to the change in the target control parameter of the air conditioner, the ambient temperature also changes accordingly, providing the user with a periodic, slight alternating stimulation of hot and cold.
  • control step size can be fixed or vary over time, and is not limited here.
  • implementation method of the fluctuation and change of the control parameters is not limited.
  • the initial value of the target control parameter at the beginning of the control cycle, the direction of change at each time point within the control cycle, and other parameters can be set as needed, as long as the fluctuation is based on the steady-state control parameters and the offset does not exceed the maximum offset.
  • the change of the target control parameter is shown as the solid line in Figure 2
  • the steady-state control parameter is shown as the dashed line.
  • the target control parameter fluctuates around the steady-state control parameter, thereby realizing the periodic fluctuation control of the indoor ambient temperature.
  • periodic hot and cold stimulation By applying periodic hot and cold stimulation to the user, the effect of improving the user's comfort experience is enhanced.
  • it can keep the user's human thermoregulation mechanism active in the indoor environment, promote blood circulation, and is more beneficial to health.
  • the step of determining the target control parameters of the air conditioner based on the preset control period, maximum offset, control step size, and the steady-state control parameters includes:
  • Step S21 Determine the parameter range based on the steady-state control parameters and the maximum offset, wherein the upper boundary of the parameter range is the sum of the steady-state control parameters and the maximum offset, and the lower boundary of the parameter range is the difference between the steady-state control parameters and the maximum offset;
  • the steady-state control parameter is P
  • the maximum offset is Ps
  • the corresponding parameter range is [P-Ps, P+Ps].
  • Step S22 Within the control cycle, update the target control parameters based on the control step size, wherein the values of the target control parameters are within the parameter range.
  • an initial value needs to be determined as the value of the target control parameters at the starting point within the control cycle.
  • This value can be the steady-state frequency, or the difference or sum of the steady-state frequency and the maximum offset; no restriction is placed here.
  • the value of the target control parameters gradually increases or decreases according to the control step size and the corresponding cycle of the control step size.
  • step S22 is executed cyclically according to the control method of this control cycle. It should be noted that if the air conditioner receives a new set temperature, the temperature is adjusted according to the set temperature, and the air conditioner fan frequency control method of this application embodiment does not need to be executed.
  • control cycle includes multiple sub-cycles
  • the step of updating the target control parameters based on the control step size within the control cycle includes:
  • Step S221 In the first half of the control cycle, the value of the target control parameter is increased every minute of the cycle, starting from the lower boundary, according to the control step size.
  • the maximum offset is equal to half the product of the control step size and the number of minutes.
  • Step S222 In the second half of the control cycle, the value of the target control parameter is reduced every minute of the cycle, starting from the upper boundary, according to the control step size.
  • This application provides a method for adjusting the value of a target control parameter based on time variations within a control cycle.
  • the lower boundary of the parameter range is used as the starting point.
  • a frequency increase and temperature decrease step is performed in the first half of the cycle, and then a frequency decrease and temperature increase step is performed in the second half of the cycle.
  • the target control parameter is at the lower boundary of the parameter range
  • the frequency is at its lowest and the temperature is at its highest within the control cycle. Therefore, gradually increasing the frequency according to the control step size will have a cooling effect.
  • decreasing the frequency will have a heating effect.
  • the control cycle is T1, which represents the minimum time for the temperature to complete one fluctuation, such as 30 minutes;
  • the duration of the cycle is T2, which represents the minimum control interval of the air conditioner's main control system, such as 1 minute; in this embodiment, the air conditioner's main control system achieves one T1 cycle of cooling and heating fluctuations through multiple T2 cycles of fan frequency control;
  • the frequency offset Ps represents the amplitude of the fluctuation centered on the steady-state frequency. The larger Ps is, the larger the amplitude of the temperature fluctuation, and the smaller Ps is, the smaller the amplitude of the temperature fluctuation.
  • the maximum value of Ps is the maximum offset;
  • the frequency step size ⁇ P represents the frequency value that needs to be increased or decreased in each T2 cycle.
  • the cooling and heating fluctuations of the entire T1 cycle are completed through multiple T2 cycles; in each T2 cycle, the control step size is fixed at ⁇ P, which is a linear increment decay.
  • ⁇ P 2 * Ps * T2 / T1.
  • frequency ramping control is performed once every T2 time interval.
  • the compressor frequency is 10.0Hz; in the second cycle, the compressor frequency is 10.2Hz; in the third cycle, the compressor frequency is 10.4Hz; and so on.
  • the compressor frequency was 13.0 Hz.
  • frequency reduction control is performed once every T2 time interval.
  • the compressor frequency is 13.0Hz; in the 17th sub-cycle, the compressor frequency is 12.8Hz; in the 18th sub-cycle, the compressor frequency is 12.6Hz; ...; in the 30th sub-cycle, the compressor frequency is 10.0Hz.
  • the frequency increase and decrease logic described above will continue to be executed in the next control cycle until the air conditioner is turned off or a new set temperature command is received.
  • control cycle includes multiple sub-cycles
  • the step of updating the target control parameters based on the control step size within the control cycle includes:
  • Step A10 When the current moment is in the first sub-cycle of the control cycle, the lower boundary is determined as the target control parameter
  • Step A20 When the current time jumps to the next sub-cycle, calculate the sum of the target control parameter and the control step size to obtain the target control parameter corresponding to the next sub-cycle;
  • Step A30 If the target control parameter is equal to the upper boundary, then stop increasing the value of the target control parameter
  • Step A40 After stopping the increase of the target control parameter, when the current time jumps to the next sub-cycle, calculate the difference between the target control parameter and the control step size to obtain the target control parameter corresponding to the next sub-cycle, until the target control parameter is equal to the lower boundary.
  • the target control parameter is calculated based on the current moment.
  • the control cycle includes multiple sub-cycles, and the target control parameter corresponding to the current moment can be calculated based on the sub-cycle in which the current moment is located.
  • the lower boundary of the parameter range is used as the starting point of the target control parameter. First, the lower boundary is determined as the value of the target control parameter in the first sub-cycle. Then, when jumping to the next sub-cycle at the current moment, the sum of the current target control parameter and the control step size is calculated to obtain the updated target control parameter corresponding to the next sub-cycle. This process is repeated until the target control parameter reaches the upper boundary of the parameter range.
  • the step of reducing the value of the target control parameter is executed. Specifically, each time jumping to the next sub-cycle at the current moment, the target control parameter is subtracted from the control step size, eventually bringing the value of the target control parameter back to the lower boundary. Then, steps A10 to A40 are executed repeatedly until the air conditioner is turned off or a new set temperature is received.
  • control cycle includes multiple sub-cycles
  • the step of updating the target control parameters based on the control step size within the control cycle includes:
  • Step B10 When the current moment is in the first sub-cycle of the control cycle, the steady-state control parameter is determined as the target control parameter;
  • Step B20 When the current time jumps to the next sub-cycle, calculate the sum of the target control parameter and the control step size to obtain the target control parameter corresponding to the next sub-cycle;
  • Step B30 If the target control parameter is equal to the upper boundary, then stop increasing the value of the target control parameter
  • Step B40 After stopping the increase of the target control parameter, when the current time jumps to the next sub-cycle, calculate the difference between the target control parameter and the control step size to obtain the target control parameter corresponding to the next sub-cycle, until the target control parameter is equal to the lower boundary;
  • Step B50 After determining that the target control parameter is equal to the lower boundary, return to the execution step: when the current time jumps to the next sub-cycle, calculate the sum of the target control parameter and the control step size to obtain the target control parameter corresponding to the next sub-cycle, until the target control parameter is equal to the steady-state control parameter.
  • the initial value of the target control parameter at the start of the control cycle is the steady-state control parameter.
  • using the steady-state control parameter as the initial value better connects to the steady-state control parameter of the air conditioner before the control cycle, avoiding user discomfort caused by the air conditioner's control parameter jumping from the steady-state control parameter to the lower boundary of the parameter range, and further improving the user's air conditioning experience.
  • the value of the target control parameter first rises from the steady-state control parameter to the upper boundary, then falls from the upper boundary to the lower boundary, and finally returns from the lower boundary to the steady-state control parameter, completing the entire control cycle.
  • the detailed implementation method for updating the target control parameter value according to the control step size during steps B10 to B50 can be found in steps A10 to A40, and will not be repeated here.
  • the step of obtaining the steady-state control parameters of the air conditioner in a stable state includes:
  • Step S11 Determine the average control parameters of the air conditioner over a preset time period as steady-state control parameters
  • step S12 the mode control parameter of the air conditioner over a preset period of time is determined as the steady-state control parameter
  • step S13 the central control parameters of the air conditioner over a preset period of time are determined as steady-state control parameters
  • step S14 the control parameters corresponding to when the air conditioner enters a stable state are determined as steady-state control parameters.
  • This application provides four parallel methods for obtaining steady-state control parameters of an air conditioner in a stable state.
  • steps S11, S12, S13, and S14 can be selected for execution.
  • This application uses the compressor frequency as an example to illustrate the steady-state control parameter of an air conditioner.
  • This method takes into account the average frequency over the past 5 minutes, and the obtained steady-state frequency has high accuracy.
  • step S12 the mode frequency Pzs, which is the frequency that appears most frequently in the past 5 minutes, is taken as the steady-state frequency.
  • This method has a relatively small amount of computation, but its accuracy is relatively low compared to the previous method of obtaining the steady-state frequency.
  • This method has a relatively small amount of calculation, but it is easily affected by extreme values and its accuracy is not as good as the method corresponding to step S11.
  • step S14 the frequency corresponding to the moment when the air conditioner first enters a stable state is taken as the steady-state frequency.
  • This method has the least amount of calculation, but the error is relatively high in scenarios with large frequency fluctuations.
  • the method before the step of obtaining the steady-state control parameters of the air conditioner in a stable state, the method further includes:
  • Step C10 If the absolute value of the difference between the average ambient temperature and the set temperature within a preset time period is not greater than the first preset threshold and the temperature fluctuation is not greater than the second preset threshold, then the air conditioner is determined to have entered a stable state.
  • step C20 if the absolute value of the difference between the average ambient temperature and the set temperature within a preset time period is not greater than the first preset threshold, then the air conditioner is determined to have entered a stable state.
  • step C30 if the absolute values of the differences between the highest and lowest ambient temperatures within a preset time period and the set temperature are not greater than the first preset threshold, then the air conditioner is determined to have entered a stable state.
  • step C40 when the absolute value of the difference between the ambient temperature and the set temperature is not greater than the first preset threshold, the air conditioner is determined to have entered a stable state.
  • This application provides four parallel methods for determining whether an air conditioner is in a stable state. When it is necessary to determine whether an air conditioner is in a stable state, one of steps C10, C20, C30, and C40 can be executed.
  • the compressor frequency is used as an example of the control parameter for an air conditioner.
  • is not greater than threshold H1 and Tdiff is not greater than threshold H2
  • the air conditioner can be determined to be in a stable state. This determination method takes into account both the accuracy and stability of the steady state determination. The conditions are relatively strict, but the judgment accuracy is high.
  • is within the threshold H1
  • the air conditioner is determined to be in a steady state. This method takes into account the accuracy of steady state determination. The conditions are more lenient than those of step C10, and the determination accuracy is relatively low.
  • step C30 the maximum temperature Tmax and minimum temperature Tmin in the past 5 minutes are obtained.
  • are not greater than the threshold H, the air conditioner is determined to be in a steady state. This method takes into account the stability of the steady state determination. The conditions are more lenient than the determination method in step C10, and the determination accuracy is relatively low.
  • step C40 when the ambient temperature Tin first reaches
  • This method is the most lenient in terms of conditions compared to the three methods mentioned above, and is easily affected by random errors, resulting in the lowest accuracy of judgment.
  • the air conditioning fan frequency control method of this application embodiment focuses on steady-state control parameters and periodically applies cold and heat stimuli to the user, thereby improving the user's comfort experience and effectively solving the problem of "one degree higher is colder, one degree lower is hotter”. This is because when the air conditioning fan frequency control method of this application embodiment is applied, the ambient temperature is changing. When the user feels cold, the system will enter a warming state within a certain period of time to give the user a warm feeling. When the user feels hot, the system will enter a cooling stage within a certain period of time to give the user a cool feeling. This effectively avoids the fixed feeling of being too hot or too cold that a constant temperature would bring to the user.
  • the air conditioning fan frequency control device includes:
  • the parameter acquisition module 10 is used to acquire steady-state control parameters of the air conditioner when it is in a stable state, wherein the steady-state control parameters include at least one of the compressor frequency and the fan speed;
  • the parameter determination module 20 is used to determine the target control parameters of the air conditioner based on the preset control cycle, maximum offset, control step size and the steady-state control parameters, wherein the value of the target control parameters fluctuates with time within the parameter range corresponding to the steady-state control parameters and the maximum offset.
  • the operation control module 30 is used to control the operation of the air conditioner based on the target control parameters.
  • the parameter determination module 20 is further configured to:
  • a parameter range is determined, wherein the upper boundary of the parameter range is the sum of the steady-state control parameters and the maximum offset, and the lower boundary of the parameter range is the difference between the steady-state control parameters and the maximum offset;
  • the target control parameters are updated based on the control step size, wherein the values of the target control parameters are within the parameter range.
  • control cycle includes multiple sub-cycles
  • the parameter determination module 20 is also used for:
  • the value of the target control parameter is increased every minute of the cycle, starting from the lower boundary, according to the control step size.
  • the maximum offset is equal to half the product of the control step size and the number of minutes.
  • the value of the target control parameter is reduced every minute of the cycle, starting from the upper boundary, according to the control step size.
  • control cycle includes multiple sub-cycles
  • the parameter determination module 20 is also used for:
  • the lower boundary is determined as the target control parameter
  • the sum of the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next sub-cycle
  • the difference between the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next cycle, until the target control parameter is equal to the lower boundary.
  • control cycle includes multiple sub-cycles
  • the parameter determination module 20 is also used for:
  • the steady-state control parameter is determined as the target control parameter
  • the sum of the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next sub-cycle
  • the difference between the target control parameter and the control step size is calculated to obtain the target control parameter corresponding to the next minute cycle, until the target control parameter is equal to the lower boundary;
  • the parameter acquisition module 10 is further configured to:
  • the average control parameters of the air conditioner over a preset period of time are determined as steady-state control parameters.
  • the mode control parameter of the air conditioner over a preset period of time can be determined as the steady-state control parameter
  • the central control parameters of the air conditioner over a preset period of time can be determined as steady-state control parameters
  • control parameters corresponding to when the air conditioner enters a stable state can be determined as steady-state control parameters.
  • the air conditioning fan frequency control device further includes a steady-state judgment module, the steady-state judgment module being used for:
  • the air conditioner is determined to have entered a stable state.
  • the air conditioner is determined to have entered a stable state if the absolute value of the difference between the average ambient temperature and the set temperature within a preset time period is not greater than the first preset threshold.
  • the air conditioner is determined to have entered a stable state if the absolute values of the differences between the highest and lowest ambient temperatures within a preset time period and the set temperature are not greater than the first preset threshold.
  • the air conditioner is determined to have entered a stable state.
  • the air conditioning fan frequency control device provided in this application employing the air conditioning fan frequency control method in the above embodiments, can solve the technical problem of how to improve the comfort of air conditioning temperature control strategies.
  • the beneficial effects of the air conditioning fan frequency control device provided in this application are the same as those of the air conditioning fan frequency control method provided in the above embodiments, and other technical features in the air conditioning fan frequency control device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.
  • This application also provides an air conditioner, which includes at least: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the air conditioner fan frequency control method in the first embodiment above.
  • FIG5 a structural schematic diagram of an air conditioner suitable for implementing embodiments of the present disclosure is shown.
  • the air conditioner shown in FIG5 is merely an example and should not impose any limitation on the functionality and scope of use of embodiments of the present disclosure.
  • the air conditioner may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004.
  • the RAM 1004 also stores various programs and data required for the operation of the air conditioner.
  • the processing device 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005.
  • An input/output (I/O) interface 1006 is also connected to the bus.
  • the following systems can be connected to the I/O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009.
  • the communication device 1009 allows the air conditioner to communicate wirelessly or wiredly with other devices to exchange data.
  • the figure shows air conditioners with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented alternatively.
  • embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts.
  • the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002.
  • processing device 1001 it performs the functions defined in the methods of embodiments of this disclosure.
  • the air conditioner provided in this application employing the air conditioner fan frequency control method in the above embodiments, can solve the technical problem of how to improve the comfort of the air conditioner temperature control strategy.
  • the beneficial effects of the air conditioner provided in this application are the same as those of the air conditioner fan frequency control method provided in the above embodiments, and other technical features of this air conditioner are the same as those disclosed in the previous embodiment method, and will not be repeated here.
  • This application also provides a computer-readable storage medium having computer-readable program instructions stored thereon, which are used to execute the air conditioning fan frequency control method in the first embodiment above.
  • the computer-readable storage medium provided in this application embodiment may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.
  • the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device.
  • the program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.
  • the aforementioned computer-readable storage medium may be included in the air conditioner; or it may exist independently and not be installed in the air conditioner.
  • the aforementioned computer-readable storage medium carries one or more programs that, when executed by the air conditioner, cause the air conditioner to: acquire steady-state control parameters when the air conditioner is in a stable state, wherein the steady-state control parameters include at least one of compressor frequency and fan speed; determine target control parameters for the air conditioner based on a preset control period, maximum offset, control step size, and the steady-state control parameters, wherein the value of the target control parameters fluctuates with time within the parameter range corresponding to the steady-state control parameters and the maximum offset; and control the operation of the air conditioner based on the target control parameters.
  • Computer program code for performing the operations of this disclosure can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, and conventional procedural programming languages such as the "C" language or similar programming languages.
  • the program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
  • LAN local area network
  • WAN wide area network
  • each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function.
  • the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.
  • each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.
  • the modules described in the embodiments of this disclosure can be implemented in software or hardware.
  • the names of the modules do not necessarily limit the functionality of the unit itself.
  • the readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions for executing the above-described air conditioning fan frequency control method, thereby solving the technical problem of how to improve the comfort of air conditioning temperature control strategies.
  • the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the air conditioning fan frequency control method provided in Embodiment 1 above, and will not be repeated here.
  • This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the air conditioning fan frequency control method described above.
  • the computer program product provided in this application can solve the technical problem of how to improve the comfort of air conditioning temperature control strategies. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the air conditioning fan frequency control method provided in Embodiment 1 above, and will not be repeated here.

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Abstract

本申请公开了一种空调风频控制方法、装置、空调及计算机可读存储介质，所述空调风频控制方法包括：获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；基于所述目标控制参数控制所述空调运行。

Description

空调风频控制方法、装置、空调及计算机可读存储介质
相关申请
本申请要求于2024年5月30日申请的、申请号为202410692608.9的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及空调技术领域，尤其涉及一种空调风频控制方法、装置、空调及计算机可读存储介质。
 背景技术
目前，空调在控制室内的环境温度时，通常以精准控温和恒温运行为控温目标，保持室内环境始终处于恒定的温度。但根据最新的热舒适理论研究发现，恒温并非最佳的控温策略，这是因为人体具有自身的热调节机制，能够在一定程度上适应环境温度的变化。当环境总是保持在同一温度时，人体的热调节系统会过于依赖外部条件，减少自我调节的能力，长期而言可能不利于健康并带来不适感。因此，目前的空调所提供的恒温控制方式仍存在舒适性不足的缺陷。
 发明内容
本申请的主要目的在于提供一种空调风频控制方法、装置、空调及计算机可读存储介质，旨在如何提高空调控温策略的舒适性的技术问题。
为实现上述目的，本申请提供一种空调风频控制方法，所述空调风频控制方法包括：
获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；
根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；
基于所述目标控制参数控制所述空调运行。
在一些实施例中，所述根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数的步骤，包括：
根据所述稳态控制参数和所述最大偏移量，确定参数范围，其中，所述参数范围的上边界为所述稳态控制参数与所述最大偏移量的和，所述参数范围的下边界为所述稳态控制参数与所述最大偏移量的差；
在所述控制周期内，基于所述控制步长更新目标控制参数，其中，所述目标控制参数的取值处于所述参数范围内。
在一些实施例中，所述控制周期内包括多个分周期；
所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
在所述控制周期的前半周期内，将所述目标控制参数的取值以所述下边界为起点，每隔一分周期根据所述控制步长增加所述目标控制参数的取值，其中，所述最大偏移量等于所述控制步长与所述分周期的数量之积的一半；
在所述控制周期的后半周期内，将所述目标控制参数的取值以所述上边界为起点，每隔一分周期根据所述控制步长减少所述目标控制参数的取值。
在一些实施例中，所述控制周期内包括多个分周期；
所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
当当前时刻处于所述控制周期的第个一分周期时，将所述下边界确定为目标控制参数；
当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界。
在一些实施例中，所述控制周期内包括多个分周期；
所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
当当前时刻处于所述控制周期的第一个分周期时，将所述稳态控制参数确定为目标控制参数；
当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
若所述目标控制参数于所述上边界时，则停止增加所述目标控制参数的取值；
在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界；
在确定所述目标控制参数等于所述下边界后，返回执行步骤：当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述稳态控制参数。
在一些实施例中，所述获取空调处于稳定状态下的稳态控制参数的步骤，包括：
将所述空调在过去预设时长内的平均控制参数确定为稳态控制参数；
或，将所述空调在过去预设时长内的众数控制参数确定为稳态控制参数；
或，将所述空调在过去预设时长内的中心控制参数确定为稳态控制参数；
或，将所述空调进入稳定状态时对应的控制参数确定为稳态控制参数。
在一些实施例中，在所述获取空调处于稳定状态下的稳态控制参数的步骤之前，所述方法还包括：
若检测到预设时长内的环境平均温度与设定温度的差值的绝对值不大于第一预设阈值且温度波动不大于第二预设阈值，则判定所述空调进入稳定状态；
或，若在预设时长内的所述环境平均温度与所述设定温度的差值的绝对值不大于所述第一预设阈值，则判定所述空调进入稳定状态；
或，若在预设时长内的最高环境温度和最低环境温度分别与所述设定温度的差值的绝对值均不大于所述第一预设阈值，则判定所述空调进入稳定状态；
或，当检测到环境温度与所述设定温度的差值的绝对值不大于所述第一预设阈值时，判定所述空调进入稳定状态。
此外，为实现上述目的，本申请还提供一种空调风频控制装置，所述装置包括：
参数获取模块，用于获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；
参数确定模块，用于根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；
运行控制模块，用于基于所述目标控制参数控制所述空调运行。
此外，为实现上述目的，本申请还提供一种空调，所述空调为实体设备，所述空调包括：至少一个处理器；以及，与所述至少一个处理器通信连接的存储器；其中，所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如上所述空调风频控制方法的步骤。
此外，为实现上述目的，本申请还提供一种可读存储介质，所述可读存储介质为计算机可读存储介质，所述计算机可读存储介质上存储有实现空调风频控制方法的程序，所述实现空调风频控制方法的程序被处理器执行以实现如上所述空调风频控制方法的步骤。
此外，为实现上述目的，本申请还提供一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现如上述的空调风频控制方法的步骤。
 附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本申请的实施例，并与说明书一起用于解释本申请的原理。
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，对于本领域普通技术人员而言，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本申请实施例中空调风频控制方法实施例的流程示意图；
图2为本申请实施例中空调的压缩机频率在稳态控制参数上下波动的示意图；
图3为本申请实施例中空调风频控制方法全流程示意图；
图4为本申请实施例中一种空调风频控制装置的结构组成示意图；
图5为本申请实施例中空调风频控制方法涉及的硬件运行环境的设备结构示意图；
图6为本申请实施例中空调风频控制方法实施例的流程示意图；
图7为本申请实施例中空调风频控制方法实施例的流程示意图；
图8为本申请实施例中空调风频控制方法实施例的流程示意图；
图9为本申请实施例中空调风频控制方法实施例的流程示意图；
图10为本申请实施例中空调风频控制方法实施例的流程示意图；
图11为本申请实施例中空调风频控制方法实施例的流程示意图。
本申请目的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
 本发明的实施方式
为使本申请的上述目的、特征和优点能够更加明显易懂，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述。显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动的前提下所获得的所有其它实施例，均属于本申请保护的范围。
应当理解，此处所描述的具体实施例仅仅用以解释本申请的技术方案，并不用于限定本申请。
为了更好的理解本申请的技术方案，下面将结合说明书附图以及具体的实施方式进行详细的说明。
本申请空调风频控制方法实施例的执行主体可以是一种具有数据处理、网络通信以及程序运行功能的计算服务设备，例如空调的控制器等，或者是一种能够实现上述功能的电子设备、控制设备等。以下以空调控制器作为执行主体为例，对本实施例及下述各实施例进行说明。
目前的空调主要以PID（Proportional Integral Derivative，比例-积分-微分）理论为基础控制风频参数，该方法存在如下特性：首先是在降温/升温段，因为前馈不准确与后馈滞后性，会出现明显的温度振荡；另外，在维温段，温度将会逐渐趋于稳定。通常情况下，空调的生产厂家以精准控温、恒温运行为控温目标，但是，根据热舒适理论研究发现：恒温并非最佳的舒适策略，可能会造成给用户的主观舒适性不够好的缺陷。
为了克服上述现有技术中存在的技术问题和缺陷，本申请实施例提供了一种空调风频控制方法，参照图1，图1为本申请空调风频控制方法实施例的流程示意图，所述空调风频控制方法包括：
步骤S10，获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；
本申请实施例的技术方案中的稳定状态是指空调处于维温的运行状态，即环境温度已经达到用户输入的设定温度，无需大幅调整环境温度。在这种情况下，获取空调的压缩机频率和风机转速等稳态控制参数，可用于作为后续的风频动态偏移控制过程中确定目标控制参数的数据基础。
需要说明的是，用户可以根据自身需求选择是否采用本申请提供的空调风频控制方法控制空调的运行，例如，通过预设的控制指令开启所述空调风频控制方法对应的控制模式，给予了用户更大的自主性和灵活性，满足了用户的个性化空调使用需求。
步骤S20，根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；
步骤S30，基于所述目标控制参数控制所述空调运行。
本申请实施例中可以预先设置好控制周期、最大偏移量、控制步长等参数，用于控制目标控制参数的波动变化，其中，控制周期是指将目标控制参数进行一次调整的总时长，一个控制周期结束后，后续的控制周期继续按相同的控制方法控制目标控制参数的波动变化；最大偏移量是指目标控制参数在变化中相对于稳态控制参数的最大偏移量，可以理解的是，最大偏移量不能过大，否则会导致环境温度变化剧烈，影响用户体验感；控制步长是指在对目标控制参数进行调整时，每次调整的幅值。在获取到了以上各项参数后，即可在控制周期内调整目标控制参数的取值，使目标控制参数在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化，并根据所述目标控制参数控制所述空调运行，由于空调的目标控制参数的变化，环境温度也会随之发生变化，给予用户周期性的轻微冷热交替变化刺激。
需要说明的是，所述控制步长可以是固定的，也可以随时间变化而变化，在此不做限定。进一步地，控制参数的波动变化的实施方式不限定，例如，在控制周期的起点处目标控制参数的初始值，在控制周期内各个时间点的变化方向等参数均可根据需要自行设置，只要是以稳态控制参数为基础进行波动，且偏移量不超过最大偏移量即可。
示例性地，所述目标控制参数的变化如图2中的实线所示，稳态控制参数如虚线所示，目标控制参数在稳态控制参数上下波动，从而实现了对室内环境温度的周期性波动控制，通过向用户施加周期性冷热刺激从而提升用户舒适体验的效果，而且能让用户在使用室内环境中保持人体热调节机制的活性，促进血液循环，更有利于身体健康。
进一步地，参照图6，在一些实施例中，所述根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数的步骤，包括：
步骤S21，根据所述稳态控制参数和所述最大偏移量，确定参数范围，其中，所述参数范围的上边界为所述稳态控制参数与所述最大偏移量的和，所述参数范围的下边界为所述稳态控制参数与所述最大偏移量的差；
示例性地，以稳态控制参数为压缩机的稳态频率为例，稳态频率为P、最大偏移量为Ps，对应的参数范围则为[P-Ps，P+Ps]。
步骤S22，在所述控制周期内，基于所述控制步长更新目标控制参数，其中，所述目标控制参数的取值处于所述参数范围内。
需要说明的是，在计算目标控制参数的过程中，还需要确定一个初始值作为控制周期内目标控制参数在起点的值，该值可以选择稳态频率，也可以选择稳态频率与最大偏移量的差或和，在此不做限制。具体地，在控制周期的不同时间点，随着时间的增加，所述目标控制参数的值按照所述控制步长和所述控制步长对应周期逐步增加或减少，在本控制周期结束后，再按本控制周期的控制方法循环执行步骤S22。需要说明的是，若空调接收到新的设定温度，则按设定温度进行温度调节，不需要执行本申请实施例的空调风频控制方法。
进一步地，在一些实施例中，所述控制周期内包括多个分周期；
参照图7，所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
步骤S221，在所述控制周期的前半周期内，将所述目标控制参数的取值以所述下边界为起点，每隔一分周期根据所述控制步长增加所述目标控制参数的取值，其中，所述最大偏移量等于所述控制步长与所述分周期的数量之积的一半；
步骤S222，在所述控制周期的后半周期内，将所述目标控制参数的取值以所述上边界为起点，每隔一分周期根据所述控制步长减少所述目标控制参数的取值。
本申请实施例提供了一种基于控制周期内的时间变化调整目标控制参数的取值的方法。以压缩机频率为例，将参数范围的下边界作为起点，先在前半周期内执行一次升频降温的步骤，再在后半周期内执行一次降频升温的步骤。可以理解的是，当目标控制参数为参数范围的下边界时，频率在控制周期内最低，温度最高，所以逐步按控制步长增加频率时，会起到降温效果，反之，在后半周期，降低频率会起到升温效果。
示例性地，控制周期为T1，表示温度完成一次上下波动的最小时间，如30min；分周期的时长为T2，表示空调的主控制系统的最小控制间隔，如1min；本申请实施例中，空调的主控制系统，通过多次T2周期的风频控制，以实现一次T1周期的冷热波动；频率偏移Ps表示以稳态频率为中心的上下振幅，Ps越大，温度的上下波动幅度越大，Ps越小，温度的上下波动幅度越小，Ps的最大值即为最大偏移量；频率步长ΔP表示每个T2周期所需增减的频率值，其中，整个T1周期的冷热波动，通过多次T2周期来完成；每个T2周期，控制步长固定为ΔP，即为线性增值衰减，控制步长与各参数之间的关系可以表示为：ΔP=2*Ps*T2/T1。
在接下来的T1/2时间内，执行如下升频降温逻辑：
以P-Ps为起点，P+Ps为终点，以ΔP为步长，每间隔T2时间，执行一次升频控制，具体地，在第1个分周期内，压缩机频率=10.0Hz；在第2个分周期内，压缩机频率=10.2Hz；在第3个分周期内，压缩机频率=10.4Hz；……；
在第15个分周期内，压缩机频率=13.0Hz。
之后，在接下来的T1/2时间内，执行如下降频升温逻辑：
以P+Ps为起点，P-Ps为终点，以ΔP为步长，每间隔T2时间，执行一次降频控制，在第16个分周期内，压缩机频率=13.0Hz；在第17个分周期内，压缩机频率=12.8Hz；在第18个分周期内，压缩机频率=12.6Hz；……；在第30个分周期内，压缩机频率=10.0Hz。
在第一个控制周期的升频和降频过程执行完毕后，在下一个控制周期内继续按照上述升降频逻辑循环执行，直至空调关机或接收到新的设定温度指令。
在另一实施例中，所述控制周期内包括多个分周期；
参照图8，所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
步骤A10，当当前时刻处于所述控制周期的第一个分周期时，将所述下边界确定为目标控制参数；
步骤A20，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
步骤A30，若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
步骤A40，在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界。
本申请实施例提供的另一种计算当前时刻的目标控制参数的过程中，根据当前时刻计算对应的目标控制参数。同样的，控制周期内包括多个分周期，可以根据当前时刻所处的分周期来计算得到当前时刻对应的目标控制参数。本申请实施例中以参数范围的下边界作为目标控制参数的起点，首先将下边界确定为第一分周期内目标控制参数的取值，然后在当前时刻跳转到下一分周期时，计算当前目标控制参数与控制步长的和，得到更新后的下一分周期对应的目标控制参数，以此类推，直至目标控制参数达到参数范围的上边界。在目标控制参数达到上边界后，执行减少目标控制参数的取值的步骤，具体地，在当前时刻每跳转到下一分周期时，将目标控制参数减去控制步长，最终使目标控制参数的取值回到下边界。之后再循环执行步骤A10至A40，直至空调关机或接收到新的设定温度。
在另一实施例中，所述控制周期内包括多个分周期；
参照图9，所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
步骤B10，当当前时刻处于所述控制周期的第一个分周期时，将所述稳态控制参数确定为目标控制参数；
步骤B20，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
步骤B30，若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
步骤B40，在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界；
步骤B50，在确定所述目标控制参数等于所述下边界后，返回执行步骤：当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述稳态控制参数。
其中，与步骤A10至步骤A40不同的是，本申请实施例中在控制周期的起点，目标控制参数的初始值为稳态控制参数，相比以下边界为第一分周期的初始值，采用稳态控制参数作为初始值能更好地衔接控制周期前空调的稳态控制参数，避免因为空调的控制参数由稳态控制参数跳变到参数范围的下边界给用户带来的不适感，进一步提升用户的空调使用体验。另外需要说明的是，在该控制周期中，目标控制参数的取值先由稳态控制参数上升至上边界，然后由上边界下降到下边界，最后由下边界回归到稳态控制参数，完成整个控制周期的循环。此外，步骤B10至步骤B50的过程中依据控制步长更新目标控制参数的取值的详细实施方式可参照步骤A10至步骤A40的内容，在此不做赘述。
参照图10，在一些实施例中，所述获取空调处于稳定状态下的稳态控制参数的步骤，包括：
步骤S11，将所述空调在过去预设时长内的平均控制参数确定为稳态控制参数；
或，步骤S12，将所述空调在过去预设时长内的众数控制参数确定为稳态控制参数；
或，步骤S13，将所述空调在过去预设时长内的中心控制参数确定为稳态控制参数；
或，步骤S14，将所述空调进入稳定状态时对应的控制参数确定为稳态控制参数。
本申请实施例提供了四种并列的获取空调处于稳定状态下的稳态控制参数的方法，在需要获取空调的稳态控制参数时，选择步骤S11、步骤S12步骤S13、步骤S14中的一种执行即可。
本申请实施例以空调的稳态控制参数为压缩机频率为例做出具体说明。
示例性地，步骤S11中，将过去5min内的平均频率Pavg=∑P/N作为稳态频率，该方式综合考虑到了过去5min内的平均频率情况，得到的稳态频率精度较高。
示例性地，步骤S12中，将过去5min内的众数频率Pzs，即出现最多的频率作为稳态频率，该方式计算量相对较小，但相比前一种稳态频率获取方式精度相对较低。
示例性地，步骤S13中，将过去5min内的中心频率Pzx=(Pmax+Pmin)/2作为稳态频率，Pmax和Pmin分别为过去5min内频率的最大值和最小值，该方式计算量相对较小，但容易受极端值的影响，精度不如步骤S11对应的方式。
示例性地，步骤S14中，将空调首次进入稳定状态的时刻对应的频率作为稳态频率，该方式计算量最小，但在频率波动大的场景下误差较高。
参照图11，在一些实施例中，在所述获取空调处于稳定状态下的稳态控制参数的步骤之前，所述方法还包括：
步骤C10，若检测到预设时长内的环境平均温度与设定温度的差值的绝对值不大于第一预设阈值且温度波动不大于第二预设阈值，则判定所述空调进入稳定状态；
或，步骤C20，若在预设时长内的所述环境平均温度与所述设定温度的差值的绝对值不大于所述第一预设阈值，则判定所述空调进入稳定状态；
或，步骤C30，若在预设时长内的最高环境温度和最低环境温度分别与所述设定温度的差值的绝对值均不大于所述第一预设阈值，则判定所述空调进入稳定状态；
或，步骤C40，当检测到环境温度与所述设定温度的差值的绝对值不大于所述第一预设阈值时，判定所述空调进入稳定状态。
本申请实施例提供了四种并列的判断空调是否处于稳定状态的方法，在需要判断空调是否处于稳定状态时，选择步骤C10、步骤C20、步骤C30、C40中的一种执行即可。
本申请实施例中以空调的控制参数为压缩机频率为例作出具体说明。
示例性地，步骤C10中，计算过去5min的平均温度Tavg=(∑Tini)/N和温度波动Tdiff=Tmax-Tmin，其中，Tin为每一分钟内的温度值，i为分钟顺序，N=5，Tmax和Tmin，分别为过去5min中的最大温度和最小温度，当|Tavg-Ts|不大于阈值H1且Tdiff不大于阈值H2内时，则可以判定为空调处于稳定状态，该判定方式兼顾考虑了稳态状态判定的精度和稳定程度，条件较为苛刻，但判断精度较高。
示例性地，步骤C20中，计算过去5min的平均温度Tavg=(∑Tini)/N，当|Tavg-Ts|在阈值H1内，则判定空调处于稳态，该方式考虑了稳态判定的精度，条件相较步骤C10的判定方式较为宽松，判断精度相对较低。
示例性地，步骤C30中，获取过去5min的最大温度Tmax、最小温度Tmin，当|Tmax-Ts|与|Tmin-Ts|均在不大于阈值H，则判定空调处于稳态，该方式考虑了稳态判定的稳定程度，条件相较步骤C10的判定方式较为宽松，判断精度相对较低。
示例性地，步骤C40中，当环境温度Tin首次达成|Tin-Ts|不大于阈值内，则判定空调处于稳态，该方式相较于前述三种方式条件最宽松，容易受到偶然误差的影响，判断精度相对最低。
为了便于理解，结合前述各申请实施例的内容，参照图3提供的一种空调风频控制方法全流程，整体流程可以包括：首先在空调开机运行的后，在环境温度稳定在设定温度Ts后，记录稳态下的稳态控制参数，例如：压缩机频率=26，风机档位W=46；在接下来的T1/2=15min时间段内，执行如下逻辑（升频降温），具体以P-Ps为起点，P+Ps为终点，每间隔T2时间，执行一次升频控制；在接下来的T1/2=15min时间段内，执行如下逻辑（降频升温），具体以P+Ps为起点，P-Ps为终点，每间隔T2时间，执行一次降频控制；循环执行如上的升频降温和降频升温逻辑。本申请实施例的空调风频控制方法以稳态控制参数为中心，周期性地向用户施加冷热刺激，从而提升用户的舒适性体验，并且能有效地解决“高一度冷、低一度热”的问题，这是因为在应用本申请实施例的空调风频控制方法时，环境温度处于变化中，当用户觉得冷时，在一定时长内会进入升温状态，给用户温暖的感觉，当用户觉得热时，在一定时长内进入降温阶段，给用户凉爽的感觉，有效避免了恒定温度给用户带来固定的偏热或偏冷的感受。
本申请实施例还提供一种空调风频控制装置，参照图4，所述空调风频控制装置包括：
参数获取模块10，用于获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；
参数确定模块20，用于根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；
运行控制模块30，用于基于所述目标控制参数控制所述空调运行。
在一些实施例中，所述参数确定模块20还用于：
根据所述稳态控制参数和所述最大偏移量，确定参数范围，其中，所述参数范围的上边界为所述稳态控制参数与所述最大偏移量的和，所述参数范围的下边界为所述稳态控制参数与所述最大偏移量的差；
在所述控制周期内，基于所述控制步长更新目标控制参数，其中，所述目标控制参数的取值处于所述参数范围内。
在一些实施例中，所述控制周期内包括多个分周期；
所述参数确定模块20还用于：
在所述控制周期的前半周期内，将所述目标控制参数的取值以所述下边界为起点，每隔一分周期根据所述控制步长增加所述目标控制参数的取值，其中，所述最大偏移量等于所述控制步长与所述分周期的数量之积的一半；
在所述控制周期的后半周期内，将所述目标控制参数的取值以所述上边界为起点，每隔一分周期根据所述控制步长减少所述目标控制参数的取值。
在一些实施例中，所述控制周期内包括多个分周期；
所述参数确定模块20还用于：
当当前时刻处于所述控制周期的第一个分周期时，将所述下边界确定为目标控制参数；
当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界。
在一些实施例中，所述控制周期内包括多个分周期；
所述参数确定模块20还用于：
当当前时刻处于所述控制周期的第一个分周期时，将所述稳态控制参数确定为目标控制参数；
当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界；
在确定所述目标控制参数等于所述下边界后，返回执行步骤：当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述稳态控制参数。
在一些实施例中，所述参数获取模块10还用于：
将所述空调在过去预设时长内的平均控制参数确定为稳态控制参数；
或，将所述空调在过去预设时长内的众数控制参数确定为稳态控制参数；
或，将所述空调在过去预设时长内的中心控制参数确定为稳态控制参数；
或，将所述空调进入稳定状态时对应的控制参数确定为稳态控制参数。
在一些实施例中，所述空调风频控制装置还包括稳态判断模块，所述稳态判断模块用于：
若检测到预设时长内的环境平均温度与设定温度的差值的绝对值不大于第一预设阈值且温度波动不大于第二预设阈值，则判定所述空调进入稳定状态；
或，若在预设时长内的所述环境平均温度与所述设定温度的差值的绝对值不大于所述第一预设阈值，则判定所述空调进入稳定状态；
或，若在预设时长内的最高环境温度和最低环境温度分别与所述设定温度的差值的绝对值均不大于所述第一预设阈值，则判定所述空调进入稳定状态；
或，当检测到环境温度与所述设定温度的差值的绝对值不大于所述第一预设阈值时，判定所述空调进入稳定状态。
本申请提供的空调风频控制装置，采用上述实施例中的空调风频控制方法，能够解决如何提高空调控温策略的舒适性的技术问题。与现有技术相比，本申请提供的空调风频控制装置的有益效果与上述实施例提供的空调风频控制方法的有益效果相同，且所述空调风频控制装置中的其他技术特征与上述实施例方法公开的特征相同，在此不做赘述。
本申请实施例还提供一种空调，所述空调至少包括：至少一个处理器；以及，与至少一个处理器通信连接的存储器；其中，存储器存储有可被至少一个处理器执行的指令，指令被至少一个处理器执行，以使至少一个处理器能够执行上述实施例一中的空调风频控制方法。
下面参考图5，其示出了适于用来实现本公开实施例的空调的结构示意图。图5示出的空调仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图5所示，空调可以包括处理装置1001（例如中央处理器、图形处理器等），其可以根据存储在只读存储器（ROM：Read Only Memory）1002中的程序或者从存储装置1003加载到随机访问存储器（RAM：Random Access Memory）1004中的程序而执行各种适当的动作和处理。在RAM1004中，还存储有空调操作所需的各种程序和数据。处理装置1001、ROM1002以及RAM1004通过总线1005彼此相连。输入/输出（I/O）接口1006也连接至总线。通常，以下系统可以连接至I/O接口1006：包括例如触摸屏、触摸板、键盘、鼠标、图像传感器、麦克风、加速度计、陀螺仪等的输入装置1007；包括例如液晶显示器（LCD：Liquid Crystal Display）、扬声器、振动器等的输出装置1008；包括例如磁带、硬盘等的存储装置1003；以及通信装置1009。通信装置1009可以允许空调与其他设备进行无线或有线通信以交换数据。虽然图中示出了具有各种系统的空调，但是应理解的是，并不要求实施或具备所有示出的系统。可以替代地实施或具备更多或更少的系统。
特别地，根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本公开的实施例包括一种计算机程序产品，其包括承载在计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信装置从网络上被下载和安装，或者从存储装置1003被安装，或者从ROM1002被安装。在该计算机程序被处理装置1001执行时，执行本公开实施例的方法中限定的上述功能。
本申请提供的空调，采用上述实施例中的空调风频控制方法，能解决如何提高空调控温策略的舒适性的技术问题。与现有技术相比，本申请实施例提供的空调的有益效果与上述实施例提供的空调风频控制方法的有益效果相同，且该空调中的其他技术特征与上一实施例方法公开的特征相同，在此不做赘述。
应当理解，本公开的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式的描述中，具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。
本申请实施例还提供一种计算机可读存储介质，具有存储在其上的计算机可读程序指令，计算机可读程序指令用于执行上述实施例一中的空调风频控制方法。
本申请实施例提供的计算机可读存储介质例如可以是U盘，但不限于电、磁、光、电磁、红外线、或半导体的系统、系统或器件，或者任意以上的组合。计算机可读存储介质的更具体地例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器（RAM：Random Access Memory）、只读存储器（ROM：Read Only Memory）、可擦式可编程只读存储器（EPROM：Erasable Programmable Read Only Memory或闪存）、光纤、便携式紧凑磁盘只读存储器（CD-ROM：CD-Read Only Memory）、光存储器件、磁存储器件、或者上述的任意合适的组合。在本实施例中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、系统或者器件使用或者与其结合使用。计算机可读存储介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：电线、光缆、RF（Radio Frequency：射频）等等，或者上述的任意合适的组合。
上述计算机可读存储介质可以是空调中所包含的；也可以是单独存在，而未装配入空调中。
上述计算机可读存储介质承载有一个或者多个程序，当上述一个或者多个程序被空调执行时，使得空调：获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；基于所述目标控制参数控制所述空调运行。
可以以一种或多种程序设计语言或其组合来编写用于执行本公开的操作的计算机程序代码，上述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网（LAN：Local Area Network）或广域网（WAN：Wide Area Network）—连接到用户计算机，或者，可以连接到外部计算机（例如利用因特网服务提供商来通过因特网连接）。
附图中的流程图和框图，图示了按照本申请各种实施例的系统、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，该模块、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。也应当注意，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，两个接连地表示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，这依所涉及的功能而定。也要注意的是，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操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。
描述于本公开实施例中所涉及到的模块可以通过软件的方式实现，也可以通过硬件的方式来实现。其中，模块的名称在某种情况下并不构成对该单元本身的限定。
本申请提供的可读存储介质为计算机可读存储介质，所述计算机可读存储介质存储有用于执行上述空调风频控制方法的计算机可读程序指令，能够解决如何提高空调控温策略的舒适性的技术问题。与现有技术相比，本申请实施例提供的计算机可读存储介质的有益效果与上述实施例一提供的空调风频控制方法的有益效果相同，在此不做赘述。
本申请实施例还提供一种计算机程序产品，包括计算机程序，所述计算机程序被处理器执行时实现如上述的空调风频控制方法的步骤。
本申请提供的计算机程序产品能够解决如何提高空调控温策略的舒适性的技术问题。与现有技术相比，本申请实施例提供的计算机程序产品的有益效果与上述实施例一提供的空调风频控制方法的有益效果相同，在此不做赘述。
以上仅为本申请的实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利处理范围内。

Claims (10)

  1. 一种空调风频控制方法，其中，所述空调风频控制方法包括：
    获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；
    根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；
    基于所述目标控制参数控制所述空调运行。
  2. 如权利要求1所述空调风频控制方法，其中，所述根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数的步骤，包括：
    根据所述稳态控制参数和所述最大偏移量，确定参数范围，其中，所述参数范围的上边界为所述稳态控制参数与所述最大偏移量的和，所述参数范围的下边界为所述稳态控制参数与所述最大偏移量的差；
    在所述控制周期内，基于所述控制步长更新目标控制参数，其中，所述目标控制参数的取值处于所述参数范围内。
  3. 如权利要求2所述空调风频控制方法，其中，所述控制周期内包括多个分周期；
    所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
    在所述控制周期的前半周期内，将所述目标控制参数的取值以所述下边界为起点，每隔一分周期根据所述控制步长增加所述目标控制参数的取值，其中，所述最大偏移量等于所述控制步长与所述分周期的数量之积的一半；
    在所述控制周期的后半周期内，将所述目标控制参数的取值以所述上边界为起点，每隔一分周期根据所述控制步长减少所述目标控制参数的取值。
  4. 如权利要求2所述空调风频控制方法，其中，所述控制周期内包括多个分周期；
    所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
    当当前时刻处于所述控制周期的第一个分周期时，将所述下边界确定为目标控制参数；
    当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
    若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
    在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界。
  5. 如权利要求2所述空调风频控制方法，其中，所述控制周期内包括多个分周期；
    所述在所述控制周期内，基于所述控制步长更新目标控制参数的步骤，包括：
    当当前时刻处于所述控制周期的第一个分周期时，将所述稳态控制参数确定为目标控制参数；
    当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数；
    若所述目标控制参数等于所述上边界，则停止增加所述目标控制参数的取值；
    在停止增加所述目标控制参数的取值之后，当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的差，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述下边界；
    在确定所述目标控制参数等于所述下边界后，返回执行步骤：当所述当前时刻跳转到下一分周期时，计算所述目标控制参数与所述控制步长的和，得到下一分周期对应的目标控制参数，直至所述目标控制参数等于所述稳态控制参数。
  6. 如权利要求1至5中任一项所述的空调风频控制方法，其中，所述获取空调处于稳定状态下的稳态控制参数的步骤，包括：
    将所述空调在过去预设时长内的平均控制参数确定为稳态控制参数；
    或，将所述空调在过去预设时长内的众数控制参数确定为稳态控制参数；
    或，将所述空调在过去预设时长内的中心控制参数确定为稳态控制参数；
    或，将所述空调进入稳定状态时对应的控制参数确定为稳态控制参数。
  7. 如权利要求1至6任一项所述的空调风频控制方法，其中，在所述获取空调处于稳定状态下的稳态控制参数的步骤之前，所述方法还包括：
    若检测到预设时长内的环境平均温度与设定温度的差值的绝对值不大于第一预设阈值且温度波动不大于第二预设阈值，则判定所述空调进入稳定状态；
    或，若在预设时长内的所述环境平均温度与所述设定温度的差值的绝对值不大于所述第一预设阈值，则判定所述空调进入稳定状态；
    或，若在预设时长内的最高环境温度和最低环境温度分别与所述设定温度的差值的绝对值均不大于所述第一预设阈值，则判定所述空调进入稳定状态；
    或，当检测到环境温度与所述设定温度的差值的绝对值不大于所述第一预设阈值时，判定所述空调进入稳定状态。
  8. 一种空调风频控制装置，其中，所述空调风频控制装置包括：
    参数获取模块，用于获取空调处于稳定状态下的稳态控制参数，其中，所述稳态控制参数至少包括压缩机频率和风机转速中的一种；
    参数确定模块，用于根据预设的控制周期、最大偏移量、控制步长以及所述稳态控制参数，确定所述空调的目标控制参数，其中，所述目标控制参数的取值在所述稳态控制参数和所述最大偏移量对应的参数范围内随时间波动变化；
    运行控制模块，用于基于所述目标控制参数控制所述空调运行。
  9. 一种空调，其中，所述空调包括：
    至少一个处理器；以及，
    与所述至少一个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如权利要求1至7中任一项所述空调风频控制方法的步骤。
  10. 一种可读存储介质，其中，所述可读存储介质为计算机可读存储介质，所述计算机可读存储介质上存储有实现空调风频控制方法的程序，所述实现空调风频控制方法的程序被处理器执行以实现如权利要求1至7中任一项所述空调风频控制方法的步骤。
PCT/CN2025/091532 2024-05-30 2025-04-27 空调风频控制方法、装置、空调及计算机可读存储介质 Pending WO2025246764A1 (zh)

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JP2022022563A (ja) * 2020-06-26 2022-02-07 パナソニックＩｐマネジメント株式会社 空気調和機の気流を制御する気流制御方法および空気調和システム
CN114857748A (zh) * 2022-04-27 2022-08-05 宁波奥克斯电气股份有限公司 一种变频空调控制方法、装置、存储介质及空调器
CN115540302A (zh) * 2021-06-30 2022-12-30 重庆美的制冷设备有限公司 空调器风机的转速控制方法、装置、空调器及存储介质
CN115930410A (zh) * 2022-12-22 2023-04-07 Tcl空调器(中山)有限公司 频率控制曲线的调整方法、装置、空调及存储介质

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CN108758968A (zh) * 2018-05-17 2018-11-06 广东美的制冷设备有限公司 空调器控制方法及空调器
JP2022022563A (ja) * 2020-06-26 2022-02-07 パナソニックＩｐマネジメント株式会社 空気調和機の気流を制御する気流制御方法および空気調和システム
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