WO2024093410A1 - 空调器的控制方法、空调器及计算机可读存储介质 - Google Patents

空调器的控制方法、空调器及计算机可读存储介质 Download PDF

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Publication number
WO2024093410A1
WO2024093410A1 PCT/CN2023/111091 CN2023111091W WO2024093410A1 WO 2024093410 A1 WO2024093410 A1 WO 2024093410A1 CN 2023111091 W CN2023111091 W CN 2023111091W WO 2024093410 A1 WO2024093410 A1 WO 2024093410A1
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Prior art keywords
air conditioner
parameter
temperature
control parameter
correction
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PCT/CN2023/111091
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English (en)
French (fr)
Inventor
樊其锋
Original Assignee
广东美的制冷设备有限公司
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Priority claimed from CN202211351685.5A external-priority patent/CN117989691A/zh
Priority claimed from CN202211352390.XA external-priority patent/CN117989695A/zh
Priority claimed from CN202211366163.2A external-priority patent/CN117989712A/zh
Application filed by 广东美的制冷设备有限公司 filed Critical 广东美的制冷设备有限公司
Publication of WO2024093410A1 publication Critical patent/WO2024093410A1/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
    • F24F11/70—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
    • 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
    • F24F2110/80—Electric charge

Definitions

  • the present application relates to the field of electrical appliances, and in particular to a control method of an air conditioner, an air conditioner, and a computer-readable storage medium.
  • the air conditioner When the air conditioner leaves the factory, it has a universal master control logic built in.
  • the master control logic is an algorithm for determining control parameters.
  • the control parameters determined based on the master control logic are used to control changes in indoor temperature so that the temperature reaches the temperature set by the user.
  • the universal main control logic is difficult to adapt to the difference in environment.
  • the air conditioner When the air conditioner is running, it is easy to cool down too fast or too slow, resulting in over-temperature or under-temperature. It can be seen that the temperature control effect of the air conditioner is not good.
  • the main purpose of the present application is to provide a control method of an air conditioner, an air conditioner and a computer-readable storage medium, aiming to improve the temperature control effect of the air conditioner.
  • the present application provides a method for controlling an air conditioner, the method comprising:
  • At preset intervals determining at least one control parameter based on preset control logic
  • the operation of the air conditioner is controlled according to the target control parameter.
  • the present application also provides a control method of an air conditioner, the control method comprising:
  • At preset intervals determining at least one control parameter based on preset control logic
  • the temperature change error ratio is obtained
  • the air conditioner is controlled to operate according to the target control parameter.
  • the present application also provides a control method of an air conditioner, the control method comprising:
  • the average temperature reaching time error ratio is obtained
  • the air conditioner is controlled to operate according to the target control parameter.
  • the present application also provides an air conditioner, which includes a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, and the air conditioner control program, when executed by the processor, implements the steps of the air conditioner control method as described above.
  • the present application also provides a computer-readable storage medium, on which a control program of an air conditioner is stored.
  • a control program of an air conditioner is stored.
  • the control program of the air conditioner is executed by a processor, the steps of the control method of the air conditioner as described above are implemented.
  • FIG1 is a schematic diagram of a terminal structure of a hardware operating environment involved in an embodiment of the present application
  • FIG2 is a flow chart of an embodiment of a method for controlling an air conditioner of the present application
  • FIG3 is a flow chart of another embodiment of a method for controlling an air conditioner according to the present invention.
  • FIG. 4 is a flow chart of another embodiment of the air conditioner control method of the present application.
  • FIG5 is a flow chart of another embodiment of a method for controlling an air conditioner according to the present application.
  • FIG6 is a flow chart of an embodiment of a method for controlling an air conditioner of the present application.
  • FIG7 is a flow chart of an embodiment of a method for controlling an air conditioner of the present application.
  • FIG. 8 is a flow chart of an embodiment of a method for controlling an air conditioner according to the present application.
  • the universal main control logic mode of the air conditioner is single, and the control parameters determined by the main control logic cannot be applied to factors such as different rooms and climate changes. It is easy for the temperature to drop too quickly or too slowly, resulting in over-temperature or under-temperature, and the temperature control effect of the air conditioner is not good.
  • an embodiment of the present application provides a control method of an air conditioner, an air conditioner, and a computer-readable storage medium, wherein the main steps of the method include:
  • At preset intervals determining at least one control parameter based on preset control logic
  • the operation of the air conditioner is controlled according to the target control parameter.
  • the control parameters determined by the preset control logic of the air conditioner are corrected by thermal radiation in different time periods, and the air conditioner operation is controlled by the target control parameters after thermal radiation correction.
  • the target control parameters after thermal radiation correction are more accurate, which can improve the temperature control ability of the air conditioner.
  • FIG. 1 is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present application.
  • the terminal in the embodiment of the present application may be an air conditioner.
  • the terminal may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, and a communication bus 1002.
  • the communication bus 1002 is used to realize the connection and communication between these components.
  • the user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may also include a standard wired interface and a wireless interface.
  • the network interface 1004 may include a standard wired interface and a wireless interface (such as a Wi-Fi interface).
  • the memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory.
  • the memory 1005 may also be a storage device independent of the aforementioned processor 1001.
  • terminal structure shown in FIG. 1 does not limit the terminal and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.
  • the memory 1005 as a computer storage medium may include an operating system and a control program for the air conditioner.
  • the processor 1001 may be used to call the control program of the air conditioner stored in the memory 1005 and perform the following operations:
  • At preset intervals determining at least one control parameter based on preset control logic
  • the operation of the air conditioner is controlled according to the target control parameter.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • a target control parameter of the air conditioner is obtained.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • the obtained multiple predicted outdoor temperatures are weighted averaged to obtain an average predicted outdoor temperature.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • the control parameter and the correction parameter are summed to obtain a target control parameter of the air conditioner
  • the control parameter and the correction parameter are quadratured to obtain a target control parameter of the air conditioner.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • control parameters are corrected for heat radiation according to the heat load of the current period to obtain target control parameters of the air conditioner.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • the target control parameters of the air conditioner are obtained.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • the temperature change error ratio is obtained
  • a target control parameter of the air conditioner is obtained.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • the average temperature reaching time error ratio is obtained
  • a target control parameter of the air conditioner is obtained.
  • processor 1001 may call the control program of the air conditioner stored in the memory 1005, and further perform the following operations:
  • the operation of the air conditioner is controlled according to the parameter values in the target control parameter combination.
  • the air conditioner control method includes the following steps:
  • Step S10 determining at least one control parameter based on a preset control logic at preset intervals
  • the air conditioner when the air conditioner is started, the air conditioner starts to run.
  • the target control parameters of the air conditioner can be reset at each preset period to adapt to changes in the environment.
  • the control parameters are determined based on the preset control logic at each preset period.
  • the preset control logic is essentially an operation algorithm, and at least one control parameter, such as the compressor operating frequency, the internal fan speed, etc., is calculated according to the preset control logic to control the operation of the air conditioner.
  • the preset control logic may be a universal control logic configured when the air conditioner leaves the factory, etc., and the control parameters in the current period are calculated according to the universal logic.
  • the current period may be the current cycle or a period of time after the current cycle.
  • the preset control logic may be a GA algorithm based on PID theory, or an AI algorithm based on machine learning/deep learning.
  • the control logic has been preset according to the heat load under standard working conditions when the air conditioner leaves the factory. Multiple control parameters may be preset in the control logic.
  • the control parameters corresponding to the current period may be obtained according to the control logic in each preset period. After the preset control logic of the air conditioner is installed in the user's room, the environmental factors are different.
  • the preset control logic is difficult to take into account different environmental factors, so the control parameters calculated by it are difficult to obtain a good temperature control effect when controlling the temperature of the room.
  • the control parameters corresponding to the current period are obtained according to the preset control logic, so that the control parameters are corrected in each preset period, so that when working according to the corrected control parameters in each preset period, it can adapt to the indoor heat load and achieve fine adjustment of the temperature control effect of the air conditioner.
  • control parameters determined by the preset control logic of the air conditioner may be the same or different at different times. If they are different, it is because the control logic itself is designed differently. For example, in time-sharing control, the control parameters in the current time period may be recalculated based on the preset control logic at every preset period to ensure that the basic control parameters are more accurate. Furthermore, the control parameters determined by the preset control logic of the air conditioner in the current time period may also be different. For example, the operating parameters of the air conditioner may be determined in real time based on the current real-time environmental parameters.
  • Step S20 performing heat radiation correction on the control parameter according to the heat radiation corresponding to the current time period to obtain a target control parameter of the air conditioner
  • Step S30 controlling the operation of the air conditioner according to the target control parameter.
  • the control parameters determined by the preset control logic of the air conditioner cannot adapt well to the temperature control of the room. Therefore, the control parameters need to be adjusted according to the environmental factors of the room, including thermal radiation correction.
  • Thermal radiation correction refers to the correction of the control parameters according to the indoor and outdoor temperatures or heat loads. It can be understood that the indoor and outdoor temperatures are important indicators of the room environment, and the air conditioner also needs to adjust the room temperature. By adjusting the control parameters through the relevant room temperature and heat load, the temperature control ability of the air conditioner can be improved.
  • the correction parameter in the current period is determined according to the parameters related to the heat radiation in the current period.
  • the control parameter is corrected for heat radiation in the current period to obtain the target control parameter, including the sum and/or product of the control parameter and the correction parameter determined according to the preset control logic of the air conditioner to determine the target control parameter.
  • the air conditioner can be controlled to operate according to the target control parameter.
  • the correction parameter in the current period is determined once at a preset period.
  • the current control parameter determined based on the preset control logic in the current period can be corrected for thermal amplitude according to the correction parameter, and the current target control parameter is obtained accordingly to improve the temperature control capability of the air conditioner.
  • the average predicted outdoor temperature within a preset time period starting from the current period is predicted; a correction parameter is determined based on the average predicted outdoor temperature and the preset outdoor temperature; and a target control parameter of the air conditioner is obtained based on the control parameter and the correction parameter.
  • the control parameters can be corrected for thermal radiation according to the future outdoor temperature and the preset outdoor temperature to determine the correction parameters.
  • the preset control logic does not have good temperature control capabilities when controlling most air conditioners, when designing the preset control logic, an outdoor temperature will be used as the basis to obtain the preset control logic algorithm.
  • the air conditioner running, if the outdoor temperature is the outdoor temperature conceived at the time of design, good temperature control capabilities can be obtained, and it can be used as the preset outdoor temperature. But in fact, the outdoor temperature is most likely not equal to the preset outdoor temperature. There is a mapping relationship between the difference between the outdoor temperature and the preset outdoor temperature and the difference between the control parameter and the target control parameter.
  • the correction parameters are determined once every preset period to correct the differences in the actual operation process that cannot be foreseen by the preset control logic, so it is necessary to understand the outdoor ambient temperature in the future during the current period.
  • the average outdoor predicted temperature of the current period can be obtained.
  • the outdoor predicted temperature determined in a short time is not very accurate, and it is necessary to obtain the average outdoor temperature in a preset time period starting from the current period.
  • the local weather forecast information can be obtained, and the average outdoor predicted temperature can be determined based on the weather forecast information.
  • the historical outdoor temperature before the current period can be obtained, and the outdoor temperature can be determined based on the historical outdoor temperature.
  • the average outdoor predicted temperature is compared with the preset outdoor temperature corresponding to the control logic, and the correction parameters are determined through a preset mapping relationship. According to the calculation method corresponding to the preset mapping relationship, the control parameters and the correction parameters are calculated to obtain the target control parameters of the air conditioner.
  • multiple predicted outdoor temperatures within a preset time period starting from the current time period are obtained, and the average predicted outdoor temperature is calculated. It is necessary to obtain multiple predicted outdoor temperatures, including at least one predicted indoor temperature within the current time period and multiple predicted outdoor temperatures within other time periods.
  • the preset time period can be divided into multiple sub-periods according to the length of the current time period, and at least one predicted outdoor temperature is selected and determined from each sub-period. A weight value is set for each sub-period, and the obtained multiple predicted outdoor temperatures are weighted averaged to calculate the average predicted outdoor temperature.
  • the current time period is from 15:00 to 16:00, so the outdoor predicted temperatures for each hour between 15:00 and 18:00 are obtained from the cloud, which are 28°C, 27°C, and 26°C.
  • the weights are 0.5, 0.3, and 0.2, respectively
  • a standard outdoor temperature of the air conditioner under standard operating conditions is obtained as a preset outdoor temperature; an increase or decrease ratio is determined according to the standard outdoor temperature and the predicted outdoor temperature; a parameter value is determined according to the product of the increase or decrease ratio and the control parameter, and the parameter value is used as a correction parameter; or, a correction ratio corresponding to the increase or decrease ratio is determined according to the increase or decrease ratio, and the correction ratio is used as a correction parameter.
  • the control parameter and the correction parameter are summed to obtain the target control parameter of the air conditioner; when the correction parameter is a correction ratio, the control parameter and the correction parameter are multiplied to obtain the target control parameter of the air conditioner.
  • the preset control logic of the air conditioner is a universal control logic, which is generally set under the standard working conditions of the air conditioner.
  • the preset control logic of the air conditioner works best under standard working conditions, so the standard outdoor temperature under standard working conditions can be used as the preset outdoor temperature.
  • the correction parameter may be a corrected parameter value
  • the increase or decrease ratio is determined according to the standard outdoor temperature and the outdoor predicted temperature.
  • the increase or decrease ratio is the ratio of the difference between the standard outdoor temperature and the outdoor predicted temperature to the standard outdoor temperature.
  • T_p is the average predicted outdoor temperature
  • T_e is the preset outdoor temperature.
  • the average predicted outdoor temperature is 27.3
  • the parameter value that needs to be corrected for the control parameter is determined according to the product of the increase or decrease ratio and the control parameter.
  • the parameter value is the change in the control parameter. Therefore, when the correction parameter is the parameter value, the control parameter is calculated by summing the control parameter and the correction parameter, and the sum is the target control parameter.
  • the correction parameter may be a correction ratio
  • the mapping relationship between the outdoor temperature and the control parameter may also be a proportional increase or decrease.
  • the correction ratio is determined according to the standard outdoor temperature and the outdoor predicted temperature.
  • T_p is the average outdoor temperature and T_e is the predicted outdoor temperature.
  • control parameter may be calculated by performing a product calculation on the control parameter and the correction parameter, and the product result is the target control parameter.
  • heat radiation correction is performed on control parameters respectively to obtain a target control parameter combination of the air conditioner; and the operation of the air conditioner is controlled according to parameter values in the target control parameter combination.
  • At least one control parameter is determined based on a preset control logic at a preset interval; the control parameter is subjected to heat radiation correction according to the heat radiation corresponding to the current period to obtain a target control parameter of the air conditioner; and the air conditioner is controlled according to the target control parameter.
  • the control parameters determined by the preset control logic of the air conditioner are corrected by thermal radiation according to the thermal radiation corresponding to the current time period, and the operation of the air conditioner is controlled by the target control parameters after the thermal radiation correction.
  • the target control parameters after the thermal radiation correction are more accurate, which can improve the temperature control ability of the air conditioner, reduce the situation of "over-temperature” and "under-temperature", and improve the temperature stability.
  • the air conditioner control method further includes:
  • Step S21 performing heat radiation correction on the control parameters according to the heat load of the current period to obtain target control parameters of the air conditioner.
  • control parameters in addition to performing thermal radiation correction on the control parameters according to the average predicted outdoor temperature and the preset outdoor temperature in the future period, the control parameters may also be corrected according to the heat load in the current period to obtain the target control parameters of the air conditioner.
  • the difference between the heat load of the current period and the preset heat load is obtained; based on the preset heat load correction relationship, the correction parameter corresponding to the difference is determined; and according to the control parameter and the correction parameter, the target control parameter of the air conditioner is obtained.
  • Q is the heat load
  • C is the specific heat capacity of air
  • V is the volume of the room where the air conditioner is located
  • tin is the indoor temperature
  • ts is the outdoor temperature.
  • control parameters are corrected for thermal radiation according to the heat load of the current time period to obtain the target control parameters of the air conditioner.
  • the correction parameters are determined based on the difference between the current heat load and the preset heat load, taking into account the impact of the transfer of indoor and outdoor heat loads on the temperature control of the air conditioner, thereby improving the temperature control capability of the air conditioner.
  • the air conditioner control method further includes:
  • Step S22 obtaining a temperature change error ratio according to the historical operation data of the air conditioner
  • the thermal radiation correction of the control parameters of the preset control logic can also be performed to determine the correction parameters of the control parameters according to the historical operation data and the temperature change error ratio, thereby achieving the thermal radiation correction of the control parameters.
  • historical operation data of the air conditioner is collected at preset intervals, and then the temperature change error ratio is determined based on the historical operation data.
  • the historical operating parameters are characterized by data collected when the air conditioner was running in the historical time period before the current period.
  • the historical actual temperature change value of the air conditioner and the historical target temperature change value corresponding to the historical actual temperature change value can be determined;
  • the temperature change error can be determined according to the historical actual temperature change value and the historical target temperature change value;
  • the temperature change error ratio can be determined according to the temperature change error and the historical target temperature change value.
  • the historical target temperature change value is the target value preset by the user or predicted by the model, represented by T1;
  • the historical actual temperature change value is the actual value after the control logic is executed, represented by T2.
  • the present application can achieve heat load adaptation for users, room sizes, seasons, and time periods, that is, the present application can achieve heat load adaptation in different dimensions.
  • the temperature change error ratio may be determined from data of a period of historical time or N historical operation cycles. In one embodiment, the temperature change error ratio may be determined based on the temperature change error and the historical target temperature change value, including but not limited to the following methods:
  • the average temperature change error or the mode of the temperature change error can be calculated, and then the temperature change error ratio corresponding to the current operating cycle can be determined based on the average temperature change error and the historical target temperature change value, or the temperature change error ratio of the current operating cycle can be determined based on the mode of the temperature change error and the historical target temperature change value.
  • the average temperature change error or the mode of the temperature change error can be calculated, and then the temperature change error ratio in the current period can be determined based on the average temperature change error and the historical target temperature change value, or the temperature change error ratio corresponding to the current operating cycle can be determined based on the temperature change error mode and the historical target temperature change value.
  • Each historical operation period has a corresponding temperature variation error ratio.
  • the operation period can be an absolute time such as 1-12 months, 0-23 hours, or a relative time such as a startup time of 0-24 hours.
  • each user has a corresponding temperature change error ratio.
  • the temperature change error corresponding to each historical operating cycle in each historical operating period can also be obtained, the temperature change error corresponding to each historical operating cycle in each historical operating period can be averaged, and the average value can be used as the temperature change error in the corresponding historical operating period; and then the temperature change error ratio can be determined based on the ratio of the temperature change error corresponding to the historical operating period and the historical target temperature change value.
  • Example 5 You can also obtain the temperature variation error corresponding to each historical operation cycle of each user in each historical operation period, and determine the temperature variation error ratio based on the temperature variation error and the historical target temperature change value. Specifically, you can obtain the temperature variation error corresponding to each historical operation cycle of the user in each historical operation period, take the average value of the temperature variation error corresponding to each historical operation cycle in each historical operation period, and use the average value as the temperature variation error in the corresponding historical operation period; take the average value of the temperature variation error in each historical operation period, and use the average value as the temperature variation error corresponding to the user; and then determine the temperature variation error ratio based on the ratio of the temperature variation error corresponding to the user and the historical target temperature change value.
  • the present application can achieve heat load adaptation for users, room sizes, seasons, and time periods, thereby achieving heat load adaptation in different dimensions and improving the temperature control effect of the air conditioner.
  • Step S23 determining a correction parameter of the control parameter in the current period according to the temperature change error ratio
  • Step S24 obtaining the target control parameter of the air conditioner according to the control parameter and the correction parameter.
  • a correction parameter of the control parameter can be determined according to the temperature error ratio. Then, the control parameter is corrected using the correction parameter to obtain a target control parameter of the air conditioner.
  • the correction parameter can be a parameter value or a correction ratio; the correction parameter corresponding to each control parameter can be preset or determined according to the control parameter and the temperature error ratio.
  • the correction parameters corresponding to the user may be obtained based on the user; or the corresponding correction parameters may be obtained based on the current time.
  • control parameters can be adjusted according to the temperature variation error ratio.
  • the control parameters When the temperature variation error ratio is greater than or equal to 0, the control parameters are attenuated; when the temperature variation error ratio is less than 0, the control parameters are strengthened.
  • the control parameters include the compressor operating frequency, the internal fan speed, etc.
  • the control parameter and the correction parameter can be summed to obtain the target control parameter of the air conditioner.
  • the correction parameter corresponding to the compressor operating frequency can be determined according to the product of the compressor operating frequency and the corresponding temperature variation error ratio; the correction parameter corresponding to the compressor operating frequency is added to the original compressor operating frequency to obtain the corrected compressor operating frequency.
  • the correction parameter corresponding to the internal fan speed is determined according to the product of the internal fan speed and the corresponding temperature variation error ratio; the correction parameter corresponding to the internal fan speed is added to the original internal fan speed to obtain the corrected internal fan speed.
  • the correction parameter is a parameter value
  • the preset temperature change error ratio interval in which the temperature change error ratio is located can be obtained, and the parameter value corresponding to the preset temperature change error ratio interval can be used as the correction parameter.
  • the control parameter and the correction parameter can be summed to obtain the target control parameter of the air conditioner.
  • the preset temperature variation error ratio interval of the temperature variation error ratio corresponding to the compressor operating frequency can be obtained, and the parameter value corresponding to the preset temperature variation error ratio interval is used as the correction parameter corresponding to the compressor operating frequency; the correction parameter corresponding to the compressor operating frequency is added to the original compressor operating frequency to obtain the corrected compressor operating frequency.
  • the preset temperature variation error ratio interval of the temperature variation error ratio corresponding to the internal fan speed is obtained, and the parameter value corresponding to the preset temperature variation error ratio interval is used as the internal fan speed.
  • the correction parameter corresponding to the rotation speed is added to the original rotation speed of the inner fan, thereby obtaining the corrected rotation speed of the inner fan.
  • the control parameter and the correction parameter can be multiplied to obtain the target control parameter of the air conditioner.
  • the correction ratio corresponding to the compressor operating frequency can be determined according to the temperature variation error ratio corresponding to the compressor operating frequency, and the correction ratio is used as the correction parameter; the correction parameter corresponding to the compressor operating frequency is multiplied by the original compressor operating frequency to obtain the corrected compressor operating frequency.
  • the correction ratio corresponding to the internal fan speed is determined according to the temperature variation error ratio corresponding to the internal fan speed, and the correction ratio is used as the correction parameter; the correction parameter corresponding to the internal fan speed is added to the original internal fan speed to obtain the corrected internal fan speed.
  • the correction parameter is a correction ratio
  • the preset temperature change error ratio interval in which the temperature change error ratio is located can be obtained, and the correction ratio corresponding to the preset temperature change error ratio interval can be used as the correction parameter.
  • the control parameter and the correction parameter can be multiplied to obtain the target control parameter of the air conditioner.
  • the preset temperature variation error ratio interval of the temperature variation error ratio corresponding to the compressor operating frequency can be obtained, and the correction ratio corresponding to the preset temperature variation error ratio interval is used as the correction parameter corresponding to the compressor operating frequency; the correction parameter corresponding to the compressor operating frequency is multiplied by the original compressor operating frequency to obtain the corrected compressor operating frequency.
  • the preset temperature variation error ratio interval of the temperature variation error ratio corresponding to the internal fan speed is obtained, and the correction ratio corresponding to the preset temperature variation error ratio interval is used as the correction parameter corresponding to the internal fan speed; the correction parameter corresponding to the internal fan speed is multiplied by the original internal fan speed to obtain the corrected internal fan speed.
  • correction parameters are obtained based on the main control logic. Compared with the heat load under standard working conditions, if the current heat load is larger, more capacity output is required; if the current heat load is smaller, less capacity output is required. Based on the main control parameters and the correction parameters, the actual target control parameters of the air conditioner are obtained, and then the air conditioner is controlled to operate according to the target control parameters so as to adapt to the indoor heat load and improve the temperature control effect of the air conditioner.
  • the heat load adaptation for users, rooms, seasons, and time periods can be achieved from different dimensions, thereby achieving heat load adaptation in different dimensions and improving the temperature control effect of the air conditioner.
  • the air conditioner control method further includes:
  • Step S25 obtaining the average temperature reaching time error ratio according to the historical operation data of the air conditioner
  • the thermal radiation correction of the control parameters of the preset control logic can also be performed to determine the correction parameters of the control parameters according to the historical operation data and the temperature change error ratio, thereby achieving the thermal radiation correction of the control parameters.
  • At least one control parameter may be determined by a parameter prediction model in a control logic module.
  • the parameter prediction model may include a temperature model, a wind speed model, a heating and cooling rate model, an operating power model, and a capacity and energy efficiency model.
  • the temperature model is characterized by predicting the future indoor temperature change in the room where the air conditioner is located.
  • the air conditioner determines the control parameter combination composed of each parameter value of each predicted control parameter through the temperature model, and predicts the indoor temperature change corresponding to the control parameter combination, and determines the control parameter combination that meets the target indoor temperature based on the indoor temperature change, and uses it as the control parameter combination of the air conditioner that meets the temperature model, and the control parameter combination contains at least one control parameter.
  • the wind speed model is characterized by predicting the air outlet wind speed of the air conditioner that the user hopes to achieve, determining a control parameter combination formed by each parameter value of each predicted control parameter of the air conditioner, and predicting a target speed corresponding to the control parameter combination; determining a control parameter combination that satisfies the target speed; using the control parameter combination corresponding to the target speed as the control parameter combination of the air conditioner that satisfies the wind speed model, wherein the control parameter combination includes at least one control parameter.
  • the heating and cooling rate model is characterized by predicting the heating and cooling rates of the air conditioner that the user hopes to achieve.
  • the air conditioner forms a control parameter combination through each parameter value of each predicted control parameter, and predicts the temperature change rate corresponding to the control parameter combination, and determines the control parameter combination that satisfies the temperature change rate; the control parameter combination that satisfies the temperature change rate is used as the control parameter combination of the air conditioner that satisfies the heating and cooling rate model, and the control parameter combination contains at least one control parameter.
  • the operating power model is characterized by a prediction of the operating power of the air conditioner expected by the user.
  • the air conditioner determines the control parameter combination composed of the parameter values of each control parameter combination through the operating power model, and predicts the operating power corresponding to the control parameter combination, and determines the control parameter combination that meets the target operating power based on the operating power, and uses it as the control parameter combination of the air conditioner that meets the operating power model.
  • the control parameter combination contains at least one control parameter.
  • the capacity energy efficiency model is characterized by making predictions based on the user's expected operating energy efficiency and/or output capacity of the air conditioner.
  • the air conditioner inputs the operating state parameters of the current cycle and the environmental state optimization parameters into the capacity energy efficiency model, predicts the operating energy efficiency and/or output capacity corresponding to each control parameter combination of the operating state parameters of the next cycle of the air conditioner, and determines the control parameter combination that meets the target operating energy efficiency and/or target output capacity based on the operating energy efficiency and/or the output capacity, and the control parameter combination contains at least one control parameter.
  • historical operating data of the air conditioner is collected, and based on the historical data, the historical data is used to calculate the historical data. Based on the operating data, the error ratio of the average time it takes for the air conditioner to reach temperature is determined.
  • the historical operating parameters are represented by the data collected when the air conditioner was operating in the historical time period before the current period.
  • the historical indoor temperature t1 collected when the air conditioner is turned on, the historical target indoor temperature t2 set by the user, and the historical temperature-reaching time ⁇ t1 used by the air conditioner to change the historical indoor temperature t1 to the historical target indoor temperature t2 in this operating cycle are determined based on the historical operating parameters.
  • the control logic module predicts the estimated temperature-reaching time ⁇ t2 for the air conditioner in the current period to change the current indoor temperature t3 to the current target indoor temperature t4.
  • the estimated temperature-reaching time ⁇ t2 can be obtained according to a preset mapping table or predicted according to a model.
  • an estimated time to reach the temperature of the air conditioner in the current period is obtained, and based on the historical operation data, each historical time to reach the temperature of the air conditioner in the historical period is determined, and based on the estimated time to reach the temperature and each historical time to reach the temperature, the average error ratio of the time to reach the temperature is determined.
  • the temperature reaching time difference ratio is determined based on the historical temperature reaching time ⁇ T1 and the estimated temperature reaching time ⁇ T2.
  • the error ratio P of the time to reach the temperature is represented by the ratio of the time error ⁇ T3 to the historical time to reach the temperature ⁇ T1, that is:
  • the average temperature reaching time error ratio of the air conditioner is calculated. Different calculation strategies correspond to different statistical variables. The error ratio of the average temperature-reaching time of the air conditioner obtained based on different statistical variables is Also different.
  • calculation strategy may include a single value calculation strategy, a time dimension calculation strategy and/or a user dimension calculation strategy.
  • the relationship between the single value calculation strategy, the time dimension calculation strategy, and the user dimension calculation strategy is a parallel relationship, that is, they are used as three different calculation strategies to calculate different statistical variables.
  • the calculation strategy is a single-value calculation strategy
  • of each historical operation data is calculated, and then the average temperature reaching time error ⁇ T3 of each historical operation data is calculated based on the statistical variable n1 historical periods collected. and the average actual temperature reaching time
  • the calculation strategy is a time dimension calculation strategy
  • of each historical operation data is calculated, and then for each time dimension, one of the temperature reaching time error statistical variables under the time dimension is calculated, where the time dimension can be a preset time period such as 1-12 months or 0-23 hours. Then, based on the temperature reaching time error P under each time dimension, the average temperature reaching time error ratio under the time dimension is calculated. Assuming that the historical cycle of the air conditioner in the period from 1 to 12 months is n2, the statistical variable is n2, and the average temperature reaching time error is calculated. and the average actual temperature reaching time
  • the calculation strategy is a user dimension calculation strategy
  • of each historical operation data is calculated.
  • each target user of the air conditioner one of the temperature reaching time error statistical variables under the user is calculated, and each user N i corresponds to an average temperature reaching time error ratio It constitutes a temperature reaching time error ratio P based on different users (each user corresponds to a P).
  • the relationship between the single value calculation strategy, the time dimension calculation strategy and the user dimension calculation strategy is a progressive relationship, that is, the air conditioners of different target users (user dimension calculation strategy) are obtained, and the various time differences within the preset time period (time dimension calculation strategy) are obtained, and the statistical variable is determined according to the time differences of at least two historical time periods of the air conditioners in the various time differences within the preset time period (single value calculation strategy).
  • Specific statistical variables n and average temperature reaching time error ratio Determination and The above example is similar and will not be repeated here.
  • Step S26 determining a correction parameter of the control parameter in the current period according to the average temperature reaching time error ratio
  • the correction parameter of the control parameter is determined according to the average temperature-reaching time error ratio.
  • different average temperature-reaching time error ratios are set with different intervals, and the parameter value of the correction parameter corresponding to the average temperature-reaching time error ratio in each interval is different. Therefore, the interval of the average temperature-reaching time error ratio can be determined, and the correction parameter corresponding to the control parameter in the interval can be obtained.
  • the average temperature-reaching time error ratio and the control parameter of the air conditioner are directly multiplied.
  • correction parameter control parameter * P, where P is the error ratio of the average temperature-reaching time.
  • Step S27 Obtain the target control parameter of the air conditioner according to the control parameter and the correction parameter.
  • the target control parameter value of the air conditioner is obtained according to the control parameter and the correction parameter.
  • the correction parameter may be a specific correction value.
  • the correction value is added to the control parameter to obtain the target control parameter.
  • the correction value can be either negative or positive.
  • the correction value is positive, it means that the heat load corresponding to the control parameter predicted by the current air conditioner is less than the indoor heat load at the location of the air conditioner, and the parameter value of the control parameter should be increased to avoid under-heating.
  • the correction value is negative, it means that the heat load corresponding to the control parameter predicted by the current air conditioner is greater than the indoor heat load at the location of the air conditioner, and the parameter value of the control parameter should be reduced to avoid over-heating.
  • the correction parameter may be a correction ratio.
  • the correction parameter is the correction ratio
  • a product calculation is performed on the control parameter and the correction parameter to obtain the target control parameter.
  • the correction ratio can be greater than 1 or less than 1.
  • the correction ratio when the correction ratio is greater than 1, it means that the heat load corresponding to the control parameter predicted by the current air conditioner is less than the indoor heat load at the location of the air conditioner, and the parameter value of the control parameter should be increased to avoid under-heating.
  • the correction ratio when the correction ratio is less than 1, it means that the heat load corresponding to the control parameter predicted by the current air conditioner is greater than the indoor heat load at the location of the air conditioner, and the parameter value of the control parameter should be reduced to avoid over-heating.
  • the average temperature-reaching time error ratio is obtained by collecting historical operation data of the air conditioner, and then the correction parameter corresponding to the control parameter of the current air conditioner is determined according to the average temperature-reaching time error ratio, and then the target control parameter of the air conditioner is determined according to the correction parameter and the control parameter determined based on the control logic, so as to control the air conditioner to operate according to the target control parameter.
  • the control parameter of the air conditioner is corrected by the average temperature-reaching time error ratio, so that when the air conditioner performs cooling/heating according to the control parameter, it can adapt to the heat load in the space where the air conditioner is located, thereby avoiding the occurrence of over-temperature/under-temperature phenomenon.
  • the air conditioner comprises: a memory 1005, a processor 1001, and a control program of the air conditioner stored in the memory and executable on the processor, wherein:
  • the average temperature reaching time error ratio is obtained
  • the air conditioner is controlled to operate according to the target control parameter.
  • the error ratio of the average time to reach temperature is determined based on the estimated time to reach temperature and each of the historical times to reach temperature.
  • the statistical variables are averaged to obtain the average temperature-reaching time error ratio.
  • the time difference between at least two historical periods of the air conditioner is obtained, and the statistical variable is determined according to the time difference between the at least two historical periods; or,
  • a plurality of time differences within a preset time period are obtained, and the statistical variable is determined according to each time difference within the preset time period; or,
  • the duration differences of the air conditioners of different target users are obtained, and the statistical variables are determined according to the duration differences of the air conditioners of different target users.
  • the statistical variable is determined by the time length difference of at least two historical time periods of the air conditioner in each time length difference within.
  • a product operation is performed on the control parameter and the average temperature-reaching time error ratio to obtain a correction parameter corresponding to the control parameter.
  • the control parameter and the correction parameter are summed to obtain a target control parameter of the air conditioner
  • the correction parameter is a parameter ratio
  • a product calculation is performed on the control parameter and the correction parameter to obtain a target control parameter of the air conditioner.
  • the operation of the air conditioner is controlled according to the parameter values in the target control parameter combination.
  • control method of the air conditioner includes the following steps:
  • Step S210 determining at least one control parameter based on a preset control logic
  • the collected environmental state parameters and operating state parameters are output to the main control logic module, and the control parameters output by the control logic module are obtained.
  • control parameters determined by the preset control logic of the air conditioner may be the same or different at different times. Specifically, it has been described in detail in the above embodiment and will not be repeated here.
  • control logic may be a GA algorithm based on PID theory, or an AI algorithm based on machine learning/deep learning.
  • the control logic is pre-installed after the air conditioner is debugged according to the heat load under standard working conditions when it leaves the factory.
  • At least one control parameter may be determined by a parameter prediction model in a control logic module as described in the above embodiment, which will not be described in detail here.
  • Step S220 obtaining an average temperature reaching time error ratio according to the historical operation data of the air conditioner
  • Step S230 determining a correction parameter of the control parameter in the current period according to the average temperature reaching time error ratio
  • the correction parameter of the control parameter is determined according to the average temperature-reaching time error ratio.
  • the correction parameter in the current period is determined once every preset period, and the current control parameter determined based on the preset control logic in the current period can be corrected according to the correction parameter to obtain the current target control parameter to improve the temperature control ability of the air conditioner.
  • the current control parameter determined based on the preset control logic in the current period can be corrected according to the correction parameter to obtain the current target control parameter to improve the temperature control ability of the air conditioner.
  • Step S240 obtaining a target control parameter of the air conditioner according to the control parameter and the correction parameter;
  • the target control parameter value of the air conditioner is obtained according to the control parameter and the correction parameter.
  • Steps S220 - S240 have been described in detail in the above embodiment and will not be repeated here.
  • Step S250 controlling the air conditioner to operate according to the target control parameters.
  • the air conditioner is controlled to operate according to the target control parameter.
  • correction parameters corresponding to each of the control parameters are determined respectively, and a target control parameter combination of the air conditioner is determined based on each of the correction parameters and each of the control parameters; and the operation of the air conditioner is controlled based on the parameter values in the target control parameter combination.
  • step S220 includes:
  • Step S222 determining each historical temperature-reaching time of the air conditioner in a historical period according to the historical operation data
  • Step S223 determining the average temperature-reaching time error ratio based on the estimated temperature-reaching time and each of the historical temperature-reaching time.
  • steps S221-S223 have been described in detail in some of the above embodiments and will not be repeated here.
  • the air conditioner comprises: a memory 1005, a processor 1001, and a control program of the air conditioner stored in the memory and executable on the processor, wherein:
  • At preset intervals determining at least one control parameter based on preset control logic
  • the temperature change error ratio is obtained
  • the air conditioner is controlled to operate according to the target control parameter.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • the temperature change error ratio is determined according to the temperature change error and the historical target temperature change value.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • the temperature variation error corresponding to each historical operation period is obtained, and the temperature variation error ratio is determined according to the ratio of the temperature variation error corresponding to each historical operation period to the corresponding historical target temperature variation value;
  • the temperature change error corresponding to each user is obtained, and the temperature change error ratio is determined according to the ratio of the temperature change error corresponding to each user to the corresponding historical target temperature change value.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • the temperature change error ratio is determined according to the temperature change error and the historical target temperature change value.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • control parameter and the correction parameter are summed up to obtain a target control parameter of the air conditioner.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • a preset temperature change error ratio interval in which the temperature change error ratio is located is obtained, and a correction ratio corresponding to the preset temperature change error ratio interval is used as a correction parameter.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • control parameter and the correction parameter are quadratured to obtain a target control parameter of the air conditioner.
  • processor 1001 calls the control program of the air conditioner stored in the memory 1005, it also performs the following operations:
  • the operation of the air conditioner is controlled according to the parameter values in the target control parameter combination.
  • control method of the air conditioner of the present application can be applied to the air conditioner.
  • control method of the air conditioner of the present application includes the following steps:
  • Step S110 determining at least one control parameter based on a preset control logic at preset intervals.
  • the preset period can be set according to actual conditions.
  • the preset control logic has been described in detail in the above embodiment and will not be repeated here.
  • control parameter may be at least one of a compressor frequency and an internal fan speed.
  • control parameter is at least two
  • at least two control parameters in the current period may be determined at intervals of a preset period based on a preset control logic.
  • Heat radiation correction is performed on each control parameter respectively, a target control parameter combination of the air conditioner is obtained, and the air conditioner is controlled to operate according to the parameter value in the target control parameter combination, so that the air conditioner can adapt to the indoor heat load when operating according to the parameter value in the target control parameter.
  • the compressor frequency and the internal fan speed in the current period are determined based on a preset control logic.
  • the compressor frequency and the internal fan speed are respectively corrected for heat radiation, and the corrected compressor frequency and the internal fan speed are obtained, and the air conditioner operation is controlled according to the corrected compressor frequency and the internal fan speed.
  • Step S120 obtaining the temperature variation error ratio according to the historical operation data of the air conditioner.
  • historical operation data of the air conditioner is collected at preset intervals, and then the temperature change error ratio is determined based on the historical operation data.
  • Step S130 determining a correction parameter of the control parameter in the current time period according to the temperature change error ratio.
  • Step S140 obtaining a target control parameter of the air conditioner according to the control parameter and the correction parameter;
  • steps S120 - S140 have been described in detail in the above embodiments and will not be repeated here.
  • Step S150 controlling the air conditioner to operate according to the target control parameters.
  • the air conditioner when the target control parameter is obtained, can be controlled to operate according to the target control parameter. Specifically, when the corrected compressor operating frequency and internal fan speed are obtained, the air conditioner can be controlled to operate according to the corrected compressor operating frequency and internal fan speed. The machine runs at speed.
  • the embodiments of the present application provide embodiments of a method for controlling an air conditioner. It should be noted that, although a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different from that shown here.
  • an embodiment of the present application also proposes an air conditioner, which includes a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor.
  • the air conditioner control program is executed by the processor, the steps of the air conditioner control method described in the above embodiments are implemented.
  • an embodiment of the present application further proposes a computer-readable storage medium, on which a control program for an air conditioner is stored.
  • a control program for an air conditioner is stored.
  • the control program for the air conditioner is executed by a processor, the steps of the air conditioner control method described in the above embodiments are implemented.
  • the storage medium provided in the embodiment of the present application is the storage medium used to implement the method of the embodiment of the present application, based on the method introduced in the embodiment of the present application, the person skilled in the art can understand the specific structure and deformation of the storage medium, so it is not repeated here. All storage media used in the method of the embodiment of the present application belong to the scope of protection of this application.
  • the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
  • a computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
  • These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
  • any reference signs placed between brackets shall not be construed as limiting the claims.
  • the word “comprising” does not exclude the presence of components or steps not listed in the claims.
  • the word “a” or “an” preceding a component does not exclude the presence of a plurality of such components.
  • the present application may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware.
  • the use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

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Abstract

一种空调器的控制方法、空调器及计算机可读存储介质，所述控制方法包括：间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；根据所述目标控制参数控制所述空调器运行。通过所述控制方法能够提高空调器的控温能力。

Description

空调器的控制方法、空调器及计算机可读存储介质
相关申请
本申请要求于2022年10月31日申请的、申请号为202211366163.2、202211351685.5以及202211352390.X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
本申请涉及电器领域，尤其涉及空调器的控制方法、空调器及计算机可读存储介质。
背景技术
空调器在出厂时，内置了通用性的主控逻辑，主控逻辑是确定控制参数的算法，基于主控逻辑确定的控制参数，用以控制室内温度的变化，使得温度达到用户设定的温度。
但是，每个用户的房间大小、散热效率、气候变化等条件不一致，通用性的主控逻辑很难适应环境的差异，空调器在运行时，容易出现降温过快或过慢的情况，从而导致过达温、欠达温等情况发生。由此可见，空调器的控温效果并不好。
上述内容仅用于辅助理解本申请的技术方案，并不代表承认上述内容是现有技术。
发明内容
本申请的主要目的在于提供一种空调器的控制方法、空调器及计算机可读存储介质，旨在达成提高空调器的控温效果。
为实现上述目的，本申请提供一种空调器的控制方法，所述方法包括：
间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；
根据所述目标控制参数控制所述空调器运行。
此外，为实现上述目的，本申请还提供一种空调器的控制方法，所述控制方法包括：
间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
根据空调器的历史运行数据，获得温变误差比例；
根据所述温变误差比例确定所述控制参数在当前时段内的修正参数；
根据所述控制参数和修正参数，获得空调器的目标控制参数；
控制所述空调器按所述目标控制参数运行。
此外，为实现上述目的，本申请还提供一种空调器的控制方法，所述控制方法包括：
基于预设的控制逻辑确定至少一个控制参数；
根据空调器的历史运行数据，获得平均达温时长误差比例；
根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数；
控制所述空调器按所述目标控制参数运行。
此外，为实现上述目的，本申请还提供一种空调器，所述空调器包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的空调器的控制程序，所述空调器的控制程序被所述处理器执行时实现如上所述的空调器的控制方法的步骤。
此外，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质上存储有空调器的控制程序，所述空调器的控制程序被处理器执行时实现如上所述的空调器的控制方法的步骤。
附图说明
图1是本申请实施例方案涉及的硬件运行环境的终端结构示意图；
图2为本申请空调器的控制方法的一实施例的流程示意图；
图3为本申请空调器的控制方法的另一实施例的流程示意图；
图4为本申请空调器的控制方法的又一实施例的流程示意图
图5为本申请空调器的控制方法的再一实施例的流程示意图；
图6为本申请空调器的控制方法的一实施例的流程示意图；
图7为本申请空调器的控制方法的一实施例的流程示意图；
图8为本申请空调器的控制方法一实施例的流程示意图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
由于在相关技术中，空调器的通用性的主控逻辑模式单一，根据主控逻辑确定的控制参数无法适用于不同房间、气候变化等因素，容易出现降温过快或过慢，导致过达温、欠达温等情况发生，空调器的控温效果并不好。
为了提高空调器的控温能力，本申请实施例提出一种空调器的控制方法、空调器及计算机可读存储介质，其中，所述方法的主要步骤包括：
间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；
根据所述目标控制参数控制所述空调器运行。
这样在空调器的运行过程中，分时段地对空调器预设的控制逻辑确定的控制参数进行热辐射修正，并以热辐射修正后的目标控制参数控制空调器运行。进行热辐射修正后的目标控制参数更加准确，可以提高空调器的控温能力。
以下结合附图对本申请权利要求保护的内容进行详细说明。
如图1所示，图1是本申请实施例方案涉及的硬件运行环境的终端结构示意图。
本申请实施例终端可以是空调器。
如图1所示，该终端可以包括：处理器1001，例如CPU，存储器1005，用户接口1003，网络接口1004，通信总线1002。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏(Display)、输入单元比如键盘(Keyboard)，用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可以包括标准的有线接口、无线接口(如Wi-Fi接口)。存储器1005可以是高速RAM存储器，也可以是稳定的存储器(non-volatile memory)，例如磁盘存储器。存储器1005还可以是独立于前述处理器1001的存储装置。
本领域技术人员可以理解，图1中示出的终端结构并不构成对终端的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图1所示，作为一种计算机存储介质的存储器1005中可以包括操作系统以及空调器的控制程序。
在图1所示的终端中，处理器1001可以用于调用存储器1005中存储的空调器的控制程序，并执行以下操作：
间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；
根据所述目标控制参数控制所述空调器运行。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
预测当前时段开始的预设时间段内的平均室外预测温度；
根据所述平均室外预测温度和预设室外温度，确定修正参数；
根据所述控制参数和修正参数，获得空调器的目标控制参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
获取当前时段开始的预设时间段内的多个室外预测温度；
将所获取的多个室外预测温度进行加权平均，获得平均室外预测温度。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
获取所述空调器在标准工况下的标准室外温度，作为预设室外温度；
根据所述标准室外温度和所述室外预测温度确定增减比例；
根据所述增减比例和所述控制参数的乘积确定参数值，并将所述参数值作为修正参数；或者，根据所述增减比例确定与所述增减比例对应的修正比例，并将所述修正比例作为修正参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
所述修正参数为参数值时，对所述控制参数和修正参数进行求和计算，获得空调器的目标控制参数；
所述修正参数为修正比例时，对所述控制参数和修正参数进行求积计算，获得空调器的目标控制参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
根据当前时段的热负荷对所述控制参数进行热辐射修正，获得空调器的目标控制参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
获取当前时段的热负荷与预设的热负荷的差值；
基于预设的热负荷修正关系，确定所述差值对应的修正参数；
根据所述控制参数与修正参数，获得空调器的目标控制参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
根据空调器的历史运行数据，获得温变误差比例；
根据所述温变误差比例确定所述控制参数在当前时段内的修正参数；
根据所述控制参数和修正参数，获得空调器的目标控制参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
根据空调器的历史运行数据，获得平均达温时长误差比例；
根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数。
进一步地，处理器1001可以调用存储器1005中存储的空调器的控制程序，还执行以下操作：
分别对控制参数进行热辐射修正，获得空调器的目标控制参数组合；
根据所述目标控制参数组合中的参数值控制所述空调器运行。
以下，通过具体示例性方案对本申请权利要求保护的内容，进行解释说明，以便本领域技术人员更好地理解本申请权利要求的保护范围。可以理解的是，以下示例性方案不对本申请的保护范围进行限定，仅用于解释本申请。
示例性地，参照图2，在本申请空调器的控制方法的一实施例中，所述空调器的控制方法包括以下步骤：
步骤S10，间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
在一实施例中，当空调器启动后，空调器开始运行，在运行过程中，每间隔预设周期，可以重新设置空调器的目标控制参数，以适应环境的变化。为了得到目标控制参数，每间隔预设周期，基于预设的控制逻辑确定的控制参数。预设的控制逻辑本质上是运行算法，根据预设的控制逻辑计算到至少一个控制参数，如压缩机运行频率、内风机转速等，用以控制空调器运行。
预设的控制逻辑可以是空调器出厂时配置的通用化控制逻辑等，根据通用化逻辑计算得到在当前时段内的控制参数，当前时段可以是当前周期或当前周期及其之后的一段时间。该预设的控制逻辑可以为基于PID理论的GA算法，也可以为基于机器学习/深度学习的AI算法。该控制逻辑在空调器出厂时已经根据标准工况下的热负荷进行预设。可在该控制逻辑中预设多个控制参数。可在每个预设周期内，根据控制逻辑获取当前时段对应的控制参数。空调器预设的控制逻辑在安装到用户的房间后，环境因素各有不同，预设的控制逻辑难以考虑到不同环境因素，因而其计算的控制参数在对房间进行控温时，难以得到很好的控温效果，根据预设的控制逻辑获取当前时段对应的控制参数，从而在每个预设周期内对控制参数进行修正，使得每个预设周期内按照修正后的控制参数工作时，能与室内的热负荷适配，实现对空调器的控温效果进行精细化调节。
需要说明的是，空调器预设的控制逻辑确定的控制参数在不同时间可以是相同的，也可以是不相同的，若是不相同的，是因为控制逻辑本身设计而不同，例如分时控制，每间隔预设周期，可以基于预设的控制逻辑重新计算在当前时段内的控制参数，以保证基础的控制参数更为准确，进一步地，空调器预设控制逻辑在当前时段内确定的控制参数也可以是不一样的，例如实时根据当前实时环境参数确定空调器的运行参数。
步骤S20，根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；
步骤S30，根据所述目标控制参数控制所述空调器运行。
在一实施例中，空调器预设的控制逻辑确定的控制参数并不能很好地适应房间的控温，因此，需要根据房间的环境因素对控制参数进行，包括进行热辐射修正，热辐射修正指根据室内、外温度或者热负荷对控制参数进行的修正。可以理解的是，室内外温度是房间环境的重要指标，空调器也需要对房间温度进行调整，通过房间相关温度、热负荷对控制参数进行调整，可以提高空调器的控温能力。
每间隔预设周期，根据当前时段内的热辐射相关的参数确定当前时段内的修正参数。在当前时段内对控制参数进行热辐射修正，得到目标控制参数，包括根据空调器预设的控制逻辑确定的控制参数和修正参数的和值和/或积值确定目标控制参数。在确定了目标控制参数后，可以控制空调器再按照目标控制参数运行。
需要说明的是，是间隔预设周期确定一次当前时段内的修正参数，在这个当前时段内基于预设的控制逻辑确定的当前控制参数，都可以根据这个修正参数进行热幅值修正，对应得到当前的目标控制参数，以提高空调器的控温能力。在一个预设周期内，可能存在若干个控制参数和对应的若干个目标控制参数。
在一实施例中，预测当前时段开始的预设时间段内的平均室外预测温度；根据所述平均室外预测温度和预设室外温度，确定修正参数；根据所述控制参数和修正参数，获得空调器的目标控制参数。
可以根据未来室外温度和预设室外温度对控制参数进行热辐射修正，确定修正参数。预设的控制逻辑虽然在控制大部分空调器时没有良好的控温能力，但是对应在设计预设的控制逻辑时，会以一个室外温度作为依据，得到预设的控制逻辑算法。空调器运行时，若室外温度为设计之时构想的室外温度，也就能得到良好的控温能力，可以将其作为预设室外温度。但实际上室外温度大概率不等于预设室外温度。室外温度和预设室外温度之间的差异与控制参数和目标控制参数之间的差异存在映射关系。
每间隔预设周期确定一次修正参数，修正预设的控制逻辑不能预见的实际运行过程中的差异，因而需要了解未来在当前时段内的室外环境温度。在一实施例中，可以获取当前时段的平均室外预测温度，短时间确定的室外预测温度不太准确，需要获取从当前时段开始的预设时间段内的平均室外温度。在一实施例中，可以获取当地的天气预测信息，根据天气预测信息确定平均室外预测温度。在一实施例中，可以获取当前时段之前的历史室外温度，根据历史室外温度确定室外温度。将平均室外预测温度和控制逻辑对应的预设室外温度进行比较，通过预设的映射关系确定修正参数。根据预设的映射关系对应的计算方式，对控制参数和修正参数进行计算，得到空调器的目标控制参数。
进一步地，获取当前时段开始的预设时间段内的多个室外预测温度，计算平均室外预测温度，需要获取多个为了多个室外预测温度，至少包括1个当前时段内的室内预测温度和多个其他时间段内的室外预测温度。具体地，可以根据当前时段的时长，将预设时间段划分为多个子时段，从每个子时段选择确定至少1个室外预测温度。每个子时段设定权重值，将获取到的多个室外预测温度进行加权平均，计算得到平均室外预测温度。
例如：当前时段为15点-16点，于是从云端获取15点-18点之间，每小时对应的室外预测温度，分别为28℃、27℃、26℃。假设权重分别为0.5、0.3、0.2，则未来的平均室外预测温度T_p＝28*0.5+27*0.3+26*0.2＝27.3℃。
在一实施例中，获取所述空调器在标准工况下的标准室外温度，作为预设室外温度；根据所述标准室外温度和所述室外预测温度确定增减比例；根据所述增减比例和所述控制参数的乘积确定参数值，并将所述参数值作为修正参数；或者，根据所述增减比例确定与所述增减比例对应的修正比例，并将所述修正比例作为修正参数。
进一步地，所述修正参数为参数值时，对所述控制参数和修正参数进行求和计算，获得空调器的目标控制参数；所述修正参数为修正比例时，对所述控制参数和修正参数进行求积计算，获得空调器的目标控制参数。
空调器预设的控制逻辑是通用化控制逻辑，一般是在空调器的标准工况下设定的，空调器预设的控制逻辑在标准工况下的效果最好，因而在标准工况下的标准室外温度可以作为预设室外温度。
在一实施例中，修正参数可以是修正的参数值，根据标准室外温度和室外预测温度确定增减比例，增减比例是标准室外温度和室外预测温度的差值与标准室外温度的比值，计算公式如下：
P＝1-T_Tp/T_e
其中，T_p是平均室外预测温度，T_e是预设室外温度，例如，标准工况的预设室外温度为T_e＝28℃，平均室外预测温度为27.3，则增减比例为：P＝1-27.3/28＝0.025。
在确定增减比例后，根据增减比例和控制参数的乘积确定控制参数需要修正的参数值。参数值即是控制参数变化量，因此，在修正参数为参数值时，计算控制参数的方式是对控制参数和修正参数进行求和计算，求和结果为目标控制参数。
在一实施例中，修正参数可以是修正比例，室外温度和控制参数的映射关系还可以是成比例增长或衰减。根据标准室外温度和室外预测温度确定修正比例，修正比例是标准室外温度与室外预测温度的比值，计算公式如下：
P＝T_e/T_p
其中，T_p是平均室外温度，T_e是室外预测温度。
在确定修正比例后，计算控制参数的方式可以是对控制参数和修正参数进行求积计算，求积结果为目标控制参数。
在一实施例中，分别对控制参数进行热辐射修正，获得空调器的目标控制参数组合；根据所述目标控制参数组合中的参数值控制所述空调器运行。
控制参数存在多个时，需要分别对控制参数进行热幅值修正，分别得到对应的目标控制参数。根据平均室外预测温度和预设室外温度确定修正参数时，可以共用增减比例和修正比例。基于得到的多个目标控制参数控制空调器运行。
在一实施例中，间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；根据所述目标控制参数控制所 述空调器运行。这样在空调器的运行过程中，分时段地根据当前时段对应的热辐射，对空调器预设的控制逻辑确定的控制参数进行热辐射修正，并以热辐射修正后的目标控制参数控制空调器运行，进行热辐射修正后的目标控制参数更加准确，可以提高空调器的控温能力，减少“过达温”、“欠达温”等情况，提高温度的稳定性。
在一实施例中，参照图3，基于上述任一实施例，在本申请空调器的控制方法的另一实施例中，所述空调器的控制方法还包括：
步骤S21，根据当前时段的热负荷对所述控制参数进行热辐射修正，获得空调器的目标控制参数。
在一实施例中，除了可以根据未来时段的平均室外预测温度和预设室外温度对控制参数进行热辐射修正外，还可以根据当前时段的热负荷对控制参数进行热辐射修正，以获得空调器的目标控制参数。
在一实施例中，获取当前时段的热负荷与预设的热负荷的差值；基于预设的热负荷修正关系，确定所述差值对应的修正参数；根据所述控制参数与修正参数，获得空调器的目标控制参数。
热负荷根据当前的室内、外温度计算，计算公式如下：
Q＝C*P*V*(tin-ts)
其中，Q为热负荷、C为空气比热容、V为空调器所在房间体积tin为室内温度，ts为室外温度。
在控制逻辑的基础上，若当前的热负荷偏大，则需要空调器更多的能力输出；若当前的热负荷偏小，则需要空调器更少的能力输出，确定当前时段的热负荷，获取当前时段匹配的预设的热负荷之间的差值，基于预设的热负荷修正关系，确定差值对应的修正参数，例如，修正参数＝控制参数*差值/预设的热负荷，根据控制参数与修正参数和值或积值，获得空调器的目标控制参数。
为了更好理解，提供一应用场景：
a.根据GA主控逻辑，获取当前的控制参数组合(压缩机运行频率＝50HZ，内风机转速＝75)；
b.根据当前的热负荷，获取当前所需的热负荷修正参数组合(压缩机运行频率＝-5HZ，内风机转速＝-10)；
c.针对压缩机运行频率，实际运行值＝50-5＝45HZ；
d.针对内风机转速，实际运行值＝75-10＝65；
e.因此，最终实际的目标控制参数组合(压缩机运行频率＝45HZ，内风机转速＝65)。
在一实施例中，根据当前时段的热负荷对所述控制参数进行热辐射修正，获得空调器的目标控制参数，这样根据当前热负荷和预设热负荷之间的差异确定修正参数，考虑到了室内外热负荷的传递对空调器控温的影响，从而提高了空调器的控温能力。
在一实施例中，参照图4，基于上述任一实施例，在本申请空调器的控制方法的又一实施例中，所述空调器的控制方法还包括：
步骤S22，根据空调器的历史运行数据，获得温变误差比例；
在一实施例中，对预设控制逻辑的控制参数进行热辐射修正还可以根据历史运行数据和温变误差比例来确定控制参数的修正参数，进而实现对控制参数的热辐射修正。
在一实施例中，每间隔预设周期，采集空调器的历史运行数据，进而根据该历史运行数据确定温变误差比例。
在一实施例中，历史运行参数表征为空调器在当前时段之前的历史时间段中运行时采集的数据。可根据空调器的历史运行数据，确定空调器的历史实际温度变化值和历史实际温度变化值对应的历史目标温度变化值；根据该历史实际温度变化值和历史目标温度变化值确定温变误差；根据该温变误差和历史目标温度变化值确定温变误差比例。其中，历史目标温度变化值是用户预设或者是根据模型预测出的目标值，用T1表示；历史实际温度变化值是执行控制逻辑后的实际值，用T2表示。
在一实施例中，本申请可实现对用户、房间大小、季节、时段的热负荷适配，即本申请可实现不同维度的热负荷适配。
在一实施例中，可从一段历史时间内或N个历史运行周期的数据中，确定温变误差比例。在一实施例中，根据温变误差和历史目标温度变化值，确定温变误差比例可具体包括但不限于以下方式：
示例一、可获取每个历史运行周期对应的温变误差，根据每个历史运行周期对应的温变误差和每个历史运行周期对应的历史目标温度变化值，确定温变误差比例。具体的，可获取每个历史运行周期对应的温变误差，根据每个历史运行周期对应的温变误差和每个历史运行周期对应的历史目标温度变化值之间的比值确定温变误差比例。例如，针对每个历史运行周期内的历史实际温度变化值T2和历史目标温度变化值T1，计算出每个历史运行周期的温变误差，即T2-T1。以该温变误差为基础，计算出当前运行周期对应的温变误差比例，即P＝(T2-T1)/T1。
在一实施例中，还可以计算出每个历史运行周期的温变误差之后，计算平均温变误差或温变误差众数，进而根据该平均温变误差和历史目标温度变化值确定当前运行周期对应的温变误差比例，或者根据温变误差众数和历史目标温度变化值确定当前运行周期的温变误差比例。
示例二、还可获取每个历史运行时段对应的温变误差，根据每个历史运行时段对应的温变误差和对应的历史目标温度变化值，确定温变误差比例。具体的，可获取每个历史运行时段对应的温变误差，根据每个历史运行时段对应的温变误差和每个历史运行时段对应的历史目标温度变化值之间的比值确定温变误差比例。例如，针对每个历史运行时段的历史实际温度变化值T2和历史目标温度变化值T1，计算出每个历史运行时段的温变误差，即T2-T1。针对每个历史运行时段的温变误差，计算出每个历史运行时段的温变误差比例P＝(T2-T1)/T1。
在一实施例中，还可以计算出每个历史运行时段的温变误差之后，计算平均温变误差或温变误差众数，进而根据该平均温变误差和历史目标温度变化值确定当前时段内的温变误差比例，或者根据温变误差众数和历史目标温度变化值确定当前运行周期对应的温变误差比例。
其中，每个历史运行时段均存在对应的一个温变误差比例。该运行时段可以为1-12个月、0-23小时这类绝对时间，也可以为开机时长0-M小时这类相对时间。
示例三、还可获取每个用户对应的温变误差，根据每个用户对应的温变误差和对应的历史目标温度变化值，确定温变误差比例。具体的，可获取每个用户对应的温变误差，根据每个用户对应的温变误差和对应的历史目标温度变化值之间的比值确定温变误差比例。例如，针对每个用户的历史实际温度变化值T2和历史目标温度变化值T1，计算出每个用户的温变误差，即T2-T1。针对每个用户的温变误差，计算出每个用户的温变误差比例P＝(T2-T1)/T1。
其中，每个用户均存在对应的一个温变误差比例。
示例四，还可获取在每个历史运行时段的各个历史运行周期对应的温变误差，对每个历史运行时段下的各个历史运行周期对应的温变误差取平均值，并将该平均值作为对应历史运行时段下的温变误差；进而根据历史运行时段所对应的温变误差和历史目标温度变化值的比值，确定温变误差比例。
示例五、还可获取每个用户在每个历史运行时段的各个历史运行周期对应的温变误差，根据该温变误差和历史目标温度变化值，确定温变误差比例。具体的，可获取用户在每个历史运行时段的各个历史运行周期对应的温变误差，对每个历史运行时段下的各个历史运行周期对应的温变误差取平均值，并将该平均值作为对应历史运行时段下的温变误差；对每个历史运行时段下的温变误差取平均值，并将该平均值作为用户所对应的温变误差；进而根据用户所对应的温变误差和历史目标温度变化值的比值，确定温变误差比例。
综上，本申请可实现对用户、房间大小、季节、时段的热负荷适配，从而实现不同维度的热负荷适配，提高空调器的控温效果。
步骤S23，根据所述温变误差比例确定所述控制参数在当前时段内的修正参数；
步骤S24，根据所述控制参数和修正参数，获得空调器的目标控制参数。
在一实施例中，在确定温度误差比例之后，即可根据温度误差比例确定控制参数的修正参数。进而采用该修正参数对控制参数进行修正，从而得到空调器的目标控制参数。其中，该修正参数可以为参数值，也可以为修正比例；每个控制参数对应的修正参数可以是预设的，也可以是根据控制参数和温变误差比例确定。
在一实施例中，在获取修正参数时，可根据用户获取用户对应的修正参数；也可根据当前时间获取对应的修正参数。
在一实施例中，可根据温变误差比例调整控制参数。当温变误差比例大于等于0时，对控制参数执行衰减策略；当温变误差比例小于0时，对控制参数执行加强策略。其中，控制参数包括压缩机运行频率、内风机转速等。
在修正参数为参数值时，在一实施例中，可根据控制参数与温变误差比例的乘积确定参数值，并将该参数值作为修正参数；例如，修正参数＝0-控制参数*温变误差比例。此时，可对控制参数和修正参数进行求和计算，从而得到空调器的目标控制参数。
例如，可根据压缩机运行频率与对应的温变误差比例的乘积确定压缩机运行频率对应的修正参数；将该压缩机运行频率对应的修正参数与原先的压缩机运行频率相加，从而得到修正后的压缩机运行频率。同时，根据内风机转速与对应的温变误差比例的乘积确定内风机转速对应的修正参数；将该内风机转速对应的修正参数与原先的内风机转速相加，从而得到修正后的内风机转速。
或者，在修正参数为参数值时，可获取温变误差比例所处的预设温变误差比例区间，将预设温变误差比例区间所对应的参数值作为修正参数。此时，可对控制参数和修正参数进行求和计算，从而得到空调器的目标控制参数。
例如，可获取压缩机运行频率对应的温变误差比例所处的预设温变误差比例区间，将该预设温变误差比例区间所对应的参数值作为该压缩机运行频率对应的修正参数；将该压缩机运行频率对应的修正参数与原先的压缩机运行频率相加，从而得到修正后的压缩机运行频率。同时，获取内风机转速对应的温变误差比例所处的预设温变误差比例区间，将该预设温变误差比例区间所对应的参数值作为该内风机 转速对应的修正参数；将该内风机转速对应的修正参数与原先的内风机转速相加，从而得到修正后的内风机转速。
在修正参数为修正比例时，在一实施例中，根据所述温变误差比例确定修正比例，并将所述修正比例作为修正参数；例如，修正参数＝0-P。此时，可对控制参数和修正参数进行求积计算，从而得到空调器的目标控制参数。
例如，可根据压缩机运行频率对应的温变误差比例确定压缩机运行频率对应的修正比例，将该修正比例作为修正参数；将该压缩机运行频率对应的修正参数与原先的压缩机运行频率相乘，从而得到修正后的压缩机运行频率。同时，根据内风机转速对应的温变误差比例确定内风机转速对应的修正比例，将该修正比例作为修正参数；将该内风机转速对应的修正参数与原先的内风机转速相加，从而得到修正后的内风机转速。
或者，在修正参数为修正比例时，可获取温变误差比例所处的预设温变误差比例区间，将预设温变误差比例区间所对应的修正比例作为修正参数。此时，可对控制参数和修正参数进行求积计算，从而得到空调器的目标控制参数。
例如，可获取压缩机运行频率对应的温变误差比例所处的预设温变误差比例区间，将该预设温变误差比例区间所对应的修正比例作为该压缩机运行频率对应的修正参数；将该压缩机运行频率对应的修正参数与原先的压缩机运行频率相乘，从而得到修正后的压缩机运行频率。同时，获取内风机转速对应的温变误差比例所处的预设温变误差比例区间，将该预设温变误差比例区间所对应的修正比例作为该内风机转速对应的修正参数；将该内风机转速对应的修正参数与原先的内风机转速相乘，从而得到修正后的内风机转速。
在一实施例中，通过在主控制逻辑的基础上，获取修正参数。相比于标准工况下的热负荷，若当前的热负荷偏大，则需要更多的能力输出；若当前的热负荷偏小，则需要更少的能力输出。基于主控制参数与修正参数，从而获得空调器实际的目标控制参数，进而控制空调器按该目标控制参数运行时，使得与室内的热负荷适配，提高空调器的控温效果。另外，可从不同维度实现对用户、房间、季节、时段的热负荷适配，从而实现不同维度的热负荷适配，提高空调器的控温效果。
在一实施例中，参照图5，基于上述任一实施例，在本申请空调器的控制方法的再一实施例中，所述空调器的控制方法还包括：
步骤S25、根据空调器的历史运行数据，获得平均达温时长误差比例；
在一实施例中，对预设控制逻辑的控制参数进行热辐射修正还可以根据历史运行数据和温变误差比例来确定控制参数的修正参数，进而实现对控制参数的热辐射修正。
在一实施例中，确定至少一个控制参数，可以通过控制逻辑模块中的参数预测模型来确定。在一实施例中，参数预测模型可以包括温度模型、风速模型、升降温速率模型、运行功率模型、能力能效模型确定。
具体地，温度模型表征为对空调器所处房间内未来的室内温度变化量进行预测，空调器通过温度模型对每个预测控制参数的各个参数值构成的控制参数组合进行确定，并预测出控制参数组合对应的室内温度变化量，并根据室内温度变化量确定满足目标室内温度的控制参数组合，并将其作为满足温度模型的空调器的控制参数组合，控制参数组合中包含至少一个控制参数。
风速模型表征为对用户希望达到的空调器的出风风速进行预测，确定所述空调器的每个预测控制参数的各个参数值形成的控制参数组合，并预测所述控制参数组合对应的目标转速；确定满足所述目标转速的控制参数组合；将满足所述目标转速对应的所述控制参数组合，作为满足所述风速模型的所述空调器的控制参数组合，控制参数组合中包含至少一个控制参数。
升降温速率模型表征为用户希望达到的空调器的升降温速率进行预测，空调器通过每个预测控制参数的各个参数值形成的控制参数组合，并预测所述控制参数组合对应的温度变化速率，确定满足所述温度变化速率的控制参数组合；将满足所述温度变化速率的控制参数组合，作为满足所述升降温速率模型的所述空调器的控制参数组合，控制参数组合中包含至少一个控制参数。
运行功率模型表征为用户期望空调器的运行功率下进行预测，空调器通过运行功率模型对每个控制参数组合的各个参数值构成的控制参数组合进行确定，并预测出控制参数组合对应的运行功率，并根据运行功率确定满足目标运行功率的控制参数组合，并将其作为满足运行功率模型的空调器的控制参数组合，控制参数组合中包含至少一个控制参数。
能力能效模型表征为用户期望空调器的运行能效和/或输出能力下进行预测，空调器将当前周期的运行状态参数和所述环境状态优化参数输入所述能力能效模型，预测所述空调器下一周期的运行状态参数的各个控制参数组合对应的运行能效和/或输出能力，根据所述运行能效和/或所述输出能力确定满足目标运行能效和/或目标输出能力的控制参数组合，控制参数组合中包含至少一个控制参数。
在一实施例中，在确定至少一个控制参数之后，收集空调器中的历史运行数据，并根据所述历史 运行数据，确定出空调器的平均达温时长误差比例。
历史运行参数表征为空调器在当前时段之前的历史时间段中运行时采集的数据，根据历史运行参数确定空调器开机时采集的历史室内温度t1，用户设定的历史目标室内温度t2，以及在本次运行周期中空调器将历史室内温度t1改变至历史目标室内温度t2所用的历史达温时长Δt1。
接着，根据当前时段所述空调器采集到的当前室内温度t3，和用户当前时段设定的目标室内温度t4，通过控制逻辑模块预测当前时段空调器将当前室内温度t3改变至当前目标室内温度t4所用的预估达温时长Δt2。其中，预估达温时长Δt2可以根据预设的映射表获取，也可以根据模型进行预测。
在一实施例中，获取所述空调器当前时段的预估达温时长，根据所述历史运行数据，确定所述空调器的历史时段内的各个历史达温时长，根据所述预估达温时长和各个所述历史达温时长，确定所述平均达温时长误差比例。
根据历史达温时长ΔT1和预估达温时长ΔT2，确定所述达温时长差比例。达温时长差表征为空调器所预测的达温时长和空调器实际工作的达温时长之间的差值ΔT3，即ΔT3＝|ΔT2-ΔT1|。
达温时长误差比例P表征为时长误差ΔT3与历史达温时长ΔT1的比值，即：
进一步地，根据不同维度的计算策略，计算出空调器的平均达温时长误差比例不同的计算策略对应不同的统计变量，根据不同的统计变量得出的空调器的平均达温时长误差比例也不同。
进一步地，计算策略可以包括单值计算策略、时间维度计算策略和/或用户维度计算策略。
在一些实施例中，单值计算策略、时间维度计算策略和用户维度计算策略之间的关系为并列关系，即作为三种不同的计算策略来计算不同的统计变量。
示例性地，若计算策略为单值计算策略，针对历史时段内获取的历史运行数据，计算出每个历史运行数据的达温时长误差ΔT3＝|ΔT2-ΔT1|，然后根据每个历史运行数据的达温时长误差ΔT3，统计变量即为采集的n1个历史时段，计算出平均达温时长误差和平均实际达温时长

以为基础，计算出平均达温时长误差比例：
示例性地，若计算策略为时间维度计算策略，针对历史时段内获取的历史运行数据，计算出每个历史运行数据的达温时长误差ΔT3＝|ΔT2-ΔT1|，然后针对每个时间维度，计算出该时间维度下的达温时长误差统计变量中的一个，其中，时间维度可以为1-12个月、0-23小时这类预设时间段。然后，以每个时间维度下的达温时长误差P为基础，计算出该时间维度下的出平均达温时长误差比例假设1-12个月中，空调器的历史周期为n2，则统计变量为n2，计算出平均达温时长误差和平均实际达温时长

以为基础，计算出平均达温时长误差比例
示例性地，若计算策略为用户维度计算策略，针对历史时段内获取的历史运行数据，计算出每个历史运行数据的达温时长误差ΔT3＝|ΔT2-ΔT1|。然后，针对每个该空调器的目标用户，计算该用户下的达温时长误差统计变量中的一个，每个用户Ni对应一个平均达温时长误差比例构成了一个基于不同用户下的达温时长误差比例P(每个用户，对应一个P)。
当然，在另一些实施例中，单值计算策略、时间维度计算策略和用户维度计算策略之间的关系为递进关系，即获取不同目标用户中的空调器中(用户维度计算策略)，位于所述预设时间段内的各个时长差(时间维度计算策略)，并根据所述预设时间段内的各个时长差中至少两个空调器的历史时段的时长差(单值计算策略)确定所述统计变量。具体的统计变量n以及平均达温时长误差比例的确定与上 述示例类似，此处不再赘述。
步骤S26，根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
在确定出平均达温时长误差比例之后，根据平均达温时长误差比例确定所述控制参数的修正参数。
在一实施例中，不同的平均达温时长误差比例设有不同的区间，每个区间中与所述平均达温时长误差比例对应的修正参数的参数值不同，因此，可以确定平均达温时长误差比例的区间，并获取该区间中与控制参数对应的修正参数。
在一实施例中，直接将平均达温时长误差比例和空调器的控制参数进行求积运算。
即，修正参数＝控制参数*P，其中，P为平均达温时长误差比例。
步骤S27、根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数。
在一实施例中，在确定出修正参数之后，根据控制参数和修正参数，去获取空调器的目标控制参数值。
在一实施例中，修正参数可以为具体的修正值，当修正参数为具体的修正值时，在控制参数的基础上加上所述修正值，从而得到目标控制参数。
需要说明的是，修正值也可以为负值，也可以为正值。当修正值为正值时，意味着当前的空调器预测的控制参数对应的热负荷小于空调器所处位置的室内热负荷，应当提高控制参数的参数值，避免出现欠达温现象。当修正值为负值时，意味着当前的空调器预测的控制参数对应的热负荷大于空调器所处位置的室内热负荷，应当降低控制参数的参数值，避免出现过达温现象。
在一实施例中，修正参数可以为修正比例，当修正参数为修正比例时，对控制参数和修正参数进行求积计算，从而得到目标控制参数。
需要说明的是，修正比例可以大于1，也可以小于1，同样地，当修正比例大于1时，意味着当前的空调器预测的控制参数对应的热负荷小于空调器所处位置的室内热负荷，应当提高控制参数的参数值，避免出现欠达温现象。当修正比例小于1时，意味着当前的空调器预测的控制参数对应的热负荷大于空调器所处位置的室内热负荷，应当降低控制参数的参数值，避免出现过达温现象。
在一实施例中，通过采集空调器的历史运行数据来获取平均达温时长误差比例，从而根据平均达温时长误差比例确定出当前空调器的控制参数对应的修正参数，再根据修正参数和基于控制逻辑确定出的控制参数，确定空调器的目标控制参数，从而控制所述空调器根据所述目标控制参数运行。通过平均达温时长误差比例来对空调器的控制参数进行修正，使空调器根据该控制参数执行降温/升温时，能够适应空调器所处空间内的热负荷，从而避免过达温/欠达温现象的出现。
在一实施例中，空调器包括：存储器1005、处理器1001及存储在所述存储器上并可在所述处理器上运行的空调器的控制程序，其中：
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
基于预设的控制逻辑确定至少一个控制参数；
根据空调器的历史运行数据，获得平均达温时长误差比例；
根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数；
控制所述空调器按所述目标控制参数运行。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
获取所述空调器当前时段的预估达温时长；
根据所述历史运行数据，确定所述空调器的历史时段内的各个历史达温时长；
根据所述预估达温时长和各个所述历史达温时长，确定所述平均达温时长误差比例。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
计算所述预估达温时长和各个所述历史达温时长之间的达温时长差；
基于预设变量计算策略，计算所述达温时长差对应的统计变量；
对所述统计变量进行求平均，获得所述平均达温时长误差比例。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
基于所述单值计算策略，获取空调器至少两个的历史时段的时长差，并根据所述至少两个历史周期的时长差确定所述统计变量；或，
基于所述时间维度计算策略，获取预设时间段内的多个时长差，并根据所述预设时间段内的各个时长差确定所述统计变量；或，
基于所述用户维度计算策略，获取不同目标用户的空调器的时长差，根据不同目标用户的空调器的各个所述时长差确定所述统计变量。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
获取不同目标用户中的空调器中，位于所述预设时间段内的各个时长差，并根据所述预设时间段 内的各个时长差中空调器的至少两个历史时段的时长差确定所述统计变量。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
根据所述平均达温时长误差比例所处区间，获得该区间所述控制参数对应的修正参数；或，
对所述控制参数和所述平均达温时长误差比例进行求积运算，获得所述控制参数对应的修正参数。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
当所述修正参数为修正值时，对所述控制参数和修正参数进行求和计算，获得所述空调器的目标控制参数；
当所述修正参数为参数比例时，对所述控制参数和修正参数进行求积计算，获得所述空调器的目标控制参数。
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
分别确定各个所述控制参数对应的修正参数，并根据各个所述修正参数和各个所述控制参数，确定所述空调器的目标控制参数组合；
根据所述目标控制参数组合中的参数值控制所述空调器运行。
基于上述基于空调器控制技术的空调器的硬件架构，提出本申请空调器的控制方法的实施例。
参照图6，在一实施例中，所述空调器的控制方法包括以下步骤：
步骤S210，基于预设的控制逻辑确定至少一个控制参数；
在一实施例中，将采集到的环境状态参数和运行状态参数输出主控制逻辑模块，获取到控制逻辑模块输出的控制参数。
需要说明的是，空调器的预设的控制逻辑所确定的控制参数在不同时间可以是相同的，也可以是不相同的，具体地，已在上述一实施例中详细说明，此处不再赘述。
在一实施例中，控制逻辑可以为基于PID理论的GA算法，也可以为基于机器学习/深度学习的AI算法。在一实施例中，控制逻辑在空调器出厂时已经根据标准工况下的热负荷调试后预先置入。
在一实施例中，确定至少一个控制参数，可以通过如上述一实施例中所述的控制逻辑模块中的参数预测模型来确定，此处不再赘述。
步骤S220，根据空调器的历史运行数据，获得平均达温时长误差比例；
步骤S230，根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
在确定出平均达温时长误差比例之后，根据平均达温时长误差比例确定所述控制参数的修正参数。
需要说明的是，在一实施例中，每间隔预设周期确定一次当前时段内的修正参数，在这个当前时段内基于预设的控制逻辑确定的当前控制参数，都可以根据这个修正参数进行修正，对应得到当前的目标控制参数，以提高空调器的控温能力。此外，在一个预设周期内，可能存在若干个控制参数和对应的若干个目标控制参数。
步骤S240，根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数；
在一实施例中，在确定出修正参数之后，根据控制参数和修正参数，去获取空调器的目标控制参数值。
其中步骤S220-S240已在上述实施例中得到详细说明，此处不再赘述。
步骤S250，控制所述空调器按所述目标控制参数运行。
在一实施例中，在确定出目标控制参数之后，则控制所述空调器根据所述目标控制参数运行。
在一实施例中，当确定出的控制参数为至少两个时，分别确定各个所述控制参数对应的修正参数，并根据各个所述修正参数和各个所述控制参数，确定所述空调器的目标控制参数组合；根据所述目标控制参数组合中的参数值控制所述空调器运行。
具体地，上述一实施例中的一应用场景已详细说明此修正方式，此处不再赘述。
参照图7，在一实施例中，所述步骤S220包括：
步骤S221，获取所述空调器当前时段的预估达温时长；
步骤S222，根据所述历史运行数据，确定所述空调器的历史时段内的各个历史达温时长；
步骤S223，根据所述预估达温时长和各个所述历史达温时长，确定所述平均达温时长误差比例。
在一实施例中，对于步骤S221-S223，已在上述一些实施例中得到详细说明，此处不再赘述。
在一实施例中，空调器包括：存储器1005、处理器1001及存储在所述存储器上并可在所述处理器上运行的空调器的控制程序，其中：
处理器1001调用存储器1005中存储的空调器的控制程序时，执行以下操作：
间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
根据空调器的历史运行数据，获得温变误差比例；
根据所述温变误差比例确定所述控制参数在当前时段内的修正参数；
根据所述控制参数和修正参数，获得空调器的目标控制参数；
控制所述空调器按所述目标控制参数运行。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
根据空调器的历史运行数据，确定空调器的历史实际温度变化值和所述历史实际温度变化值对应的历史目标温度变化值；
根据所述历史实际温度变化值和所述历史目标温度变化值确定温变误差；
根据所述温变误差和所述历史目标温度变化值，确定所述温变误差比例。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
获取每个历史运行周期对应的温变误差，根据每个历史运行周期对应的温变误差和对应的历史目标温度变化值的比值，确定所述温变误差比例；
或者，获取每个历史运行时段对应的温变误差，根据每个历史运行时段对应的温变误差和对应的历史目标温度变化值的比值，确定所述温变误差比例；
或者，获取每个用户对应的温变误差，根据每个用户对应的温变误差和对应的历史目标温度变化值的比值，确定所述温变误差比例。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
获取每个用户在每个历史运行时段的各个历史运行周期对应的温变误差；
根据所述温变误差和所述历史目标温度变化值，确定所述温变误差比例。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
根据控制参数与所述温变误差比例的乘积确定参数值，并将所述参数值作为修正参数；或者，获取所述温变误差比例所处的预设温变误差比例区间，将所述预设温变误差比例区间所对应的参数值作为修正参数。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
对所述控制参数和所述修正参数进行求和计算，获得空调器的目标控制参数。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
根据所述温变误差比例确定修正比例，并将所述修正比例作为修正参数；
或者，获取所述温变误差比例所处的预设温变误差比例区间，将所述预设温变误差比例区间所对应的修正比例作为修正参数。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
对所述控制参数和所述修正参数进行求积计算，获得空调器的目标控制参数。
处理器1001调用存储器1005中存储的空调器的控制程序时，还执行以下操作：
分别对每个控制参数进行热辐射修正，获得空调器的目标控制参数组合；
根据所述目标控制参数组合中的参数值控制所述空调器运行。
如图8所示，在本申请的一实施例中，本申请的空调器的控制方法可应用于空调器。具体地，本申请的空调器的控制方法包括以下步骤：
步骤S110，间隔预设周期，基于预设的控制逻辑确定至少一个控制参数。
在一实施例中，该预设周期可根据实际情况进行设定。该预设的控制逻辑已在上述实施例中详细说明，此处不再赘述。
在一实施例中，该控制参数可以是压缩机频率和内风机转速中的至少一个。在该控制参数为至少两个时，可间隔预设周期，基于预设的控制逻辑确定在当前时段内的至少两个控制参数。分别对每个控制参数进行热辐射修正，获取空调器的目标控制参数组合，根据目标控制参数组合中的参数值控制空调器运行，使得空调器在按照该目标控制参数中的参数值运行时，能与室内的热负荷适配。
在一实施例中，在间隔预设周期，基于预设的控制逻辑确定在当前时段内的压缩机频率和内风机转速。分别对压缩机频率和内风机转速进行热辐射修正，获取修正后的压缩机频率和内风机转速，根据修正后的压缩机频率和内风机转速控制空调器运行。具体地，上述一实施例中的一应用场景已详细说明此修正控制方式，此处不再赘述。
步骤S120，根据空调器的历史运行数据，获得温变误差比例。
在一实施例中，每间隔预设周期，采集空调器的历史运行数据，进而根据该历史运行数据确定温变误差比例。
步骤S130，根据所述温变误差比例确定所述控制参数在当前时段内的修正参数。
步骤S140，根据所述控制参数和修正参数，获得空调器的目标控制参数；
具体地，步骤S120-S140已在上述实施例中得到详细说明，此处不再赘述。
步骤S150，控制所述空调器按所述目标控制参数运行。
在一实施例中，在得到目标控制参数时，即可控制空调器按该目标控制参数运行。具体的，在得到修正后的压缩机运行频率以及内风机转速时，即可控制空调器按该修正后的压缩机运行频率以及内风 机转速运行。
本申请实施例提供了空调器的控制方法的实施例，需要说明的是，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
此外，本申请实施例还提出一种空调器，所述空调器包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的空调器的控制程序，所述空调器的控制程序被所述处理器执行时实现如上各个实施例所述的空调器的控制方法的步骤。
此外，本申请实施例还提出一种计算机可读存储介质，所述计算机可读存储介质上存储有空调器的控制程序，所述空调器的控制程序被处理器执行时实现如上各个实施例所述的空调器的控制方法的步骤。
需要说明的是，由于本申请实施例提供的存储介质，为实施本申请实施例的方法所采用的存储介质，故而基于本申请实施例所介绍的方法，本领域所属人员能够了解该存储介质的具体结构及变形，故而此处不再赘述。凡是本申请实施例的方法所采用的存储介质都属于本申请所欲保护的范围。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例，或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本申请是参照根据本申请实施例的方法、设备(系统)和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框，以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
应当注意的是，在权利要求中，不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的部件或步骤。位于部件之前的单词“一”或“一个”不排除存在多个这样的部件。本申请可以借助于包括有若干不同部件的硬件以及借助于适当编程的计算机来实现。在列举了若干装置的单元权利要求中，这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二，以及第三等的使用不表示任何顺序。可将这些单词解释为名称。
尽管已描述了本申请的优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例做出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本申请范围的所有变更和修改。
显然，本领域的技术人员可以对本申请进行各种改动和变型而不脱离本申请的精神和范围。这样，倘若本申请的这些修改和变型属于本申请权利要求及其等同技术的范围之内，则本申请也意图包含这些改动和变型在内。

Claims (29)

  1. 一种空调器的控制方法，其中，所述方法包括：
    间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
    根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数；
    根据所述目标控制参数控制所述空调器运行。
  2. 如权利要求1所述的方法，其中，所述根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数的步骤包括：
    预测当前时段开始的预设时间段内的平均室外预测温度；
    根据所述平均室外预测温度和预设室外温度，确定修正参数；
    根据所述控制参数和修正参数，获得空调器的目标控制参数。
  3. 如权利要求2所述的方法，其中，所述预测当前时段后的预设时间段内的平均室外预测温度的步骤包括：
    获取当前时段开始的预设时间段内的多个室外预测温度；
    将所获取的多个室外预测温度进行加权平均，获得平均室外预测温度。
  4. 如权利要求2所述的方法，其中，所述根据所述平均室外预测温度和预设室外温度，确定修正参数的步骤包括：
    获取所述空调器在标准工况下的标准室外温度，作为预设室外温度；
    根据所述标准室外温度和所述室外预测温度确定增减比例；
    根据所述增减比例和所述控制参数的乘积确定参数值，并将所述参数值作为修正参数；或者，根据所述增减比例确定与所述增减比例对应的修正比例，并将所述修正比例作为修正参数。
  5. 如权利要求4所述的方法，其中，所述根据所述控制参数和修正参数，获得空调器的目标控制参数的步骤包括：
    所述修正参数为参数值时，对所述控制参数和修正参数进行求和计算，获得空调器的目标控制参数；
    所述修正参数为修正比例时，对所述控制参数和修正参数进行求积计算，获得空调器的目标控制参数。
  6. 如权利要求1所述的方法，其中，所述根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数的步骤包括：
    根据当前时段的热负荷对所述控制参数进行热辐射修正，获得空调器的目标控制参数。
  7. 如权利要求6所述的方法，其中，所述根据当前时段的热负荷对所述控制参数进行热辐射修正，获得空调器的目标控制参数的步骤包括：
    获取当前时段的热负荷与预设的热负荷的差值；
    基于预设的热负荷修正关系，确定所述差值对应的修正参数；
    根据所述控制参数与修正参数，获得空调器的目标控制参数。
  8. 如权利要求1所述的方法，其中，所述根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数的步骤包括：
    根据空调器的历史运行数据，获得温变误差比例；
    根据所述温变误差比例确定所述控制参数在当前时段内的修正参数；
    根据所述控制参数和修正参数，获得空调器的目标控制参数。
  9. 如权利要求1所述的方法，其中，所述根据当前时段对应的热辐射对所述控制参数进行热辐射修正，获得空调器的目标控制参数的步骤包括：
    根据空调器的历史运行数据，获得平均达温时长误差比例；
    根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
    根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数。
  10. 如权利要求1至9中任一项所述的方法，其中，所述控制参数为至少两个，所述方法还包括：
    分别对控制参数进行热辐射修正，获得空调器的目标控制参数组合；
    根据所述目标控制参数组合中的参数值控制所述空调器运行。
  11. 一种空调器的控制方法，其中，所述方法包括：
    间隔预设周期，基于预设的控制逻辑确定至少一个控制参数；
    根据空调器的历史运行数据，获得温变误差比例；
    根据所述温变误差比例确定所述控制参数在当前时段内的修正参数；
    根据所述控制参数和修正参数，获得空调器的目标控制参数；
    控制所述空调器按所述目标控制参数运行。
  12. 如权利要求11所述的方法，其中，所述根据空调器的历史运行数据，获得温变误差比例的步骤包括：
    根据空调器的历史运行数据，确定空调器的历史实际温度变化值和所述历史实际温度变化值对应的历史目标温度变化值；
    根据所述历史实际温度变化值和所述历史目标温度变化值确定温变误差；
    根据所述温变误差和所述历史目标温度变化值，确定所述温变误差比例。
  13. 如权利要求12所述的方法，其中，所述根据所述温变误差和所述历史目标温度变化值，确定所述温变误差比例的步骤包括：
    获取每个历史运行周期对应的温变误差，根据每个历史运行周期对应的温变误差和对应的历史目标温度变化值的比值，确定所述温变误差比例；
    或者，获取每个历史运行时段对应的温变误差，根据每个历史运行时段对应的温变误差和对应的历史目标温度变化值的比值，确定所述温变误差比例；
    或者，获取每个用户对应的温变误差，根据每个用户对应的温变误差和对应的历史目标温度变化值的比值，确定所述温变误差比例。
  14. 如权利要求13所述的方法，其中，所述获取每个用户对应的温变误差，根据每个用户对应的温变误差和所述历史目标温度变化值，确定所述温变误差比例的步骤包括：
    获取每个用户在每个历史运行时段的各个历史运行周期对应的温变误差；
    根据所述温变误差和所述历史目标温度变化值，确定所述温变误差比例。
  15. 如权利要求11所述的方法，其中，所述根据所述温变误差比例确定所述控制参数在当前时段内的修正参数的步骤包括：
    根据控制参数与所述温变误差比例的乘积确定参数值，并将所述参数值作为修正参数；
    或者，获取所述温变误差比例所处的预设温变误差比例区间，将所述预设温变误差比例区间所对应的参数值作为修正参数。
  16. 如权利要求15所述的方法，其中，所述根据所述控制参数和修正参数，获得空调器的目标控制参数的步骤包括：
    对所述控制参数和所述修正参数进行求和计算，获得空调器的目标控制参数。
  17. 如权利要求11所述的方法，其中，所述根据所述温变误差比例确定所述控制参数在当前时段内的修正参数的步骤包括：
    根据所述温变误差比例确定修正比例，并将所述修正比例作为修正参数；
    或者，获取所述温变误差比例所处的预设温变误差比例区间，将所述预设温变误差比例区间所对应的修正比例作为修正参数。
  18. 如权利要求17所述的方法，其中，所述根据所述控制参数和修正参数，获得空调器的目标控制参数的步骤包括：
    对所述控制参数和所述修正参数进行求积计算，获得空调器的目标控制参数。
  19. 如权利要求11至18中任一项所述的方法，其中，所述控制参数为至少两个，所述方法还包括：
    分别对每个控制参数进行热辐射修正，获得空调器的目标控制参数组合；
    根据所述目标控制参数组合中的参数值控制所述空调器运行。
  20. 一种空调器的控制方法，其中，所述控制方法包括：
    基于预设的控制逻辑确定至少一个控制参数；
    根据空调器的历史运行数据，获得平均达温时长误差比例；
    根据所述平均达温时长误差比例确定所述控制参数在当前时段内的修正参数；
    根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数；
    控制所述空调器按所述目标控制参数运行。
  21. 如权利要求20所述的方法，其中，所述根据空调器的历史运行数据，获得平均达温时长误差比例的步骤包括：
    获取所述空调器当前时段的预估达温时长；
    根据所述历史运行数据，确定所述空调器的历史时段内的各个历史达温时长；
    根据所述预估达温时长和各个所述历史达温时长，确定所述平均达温时长误差比例。
  22. 如权利要求21所述的方法，其中，所述根据所述预估达温时长和所述历史达温时长，确定所述平均达温时长误差比例的步骤包括：
    计算所述预估达温时长和各个所述历史达温时长之间的达温时长差；
    基于预设变量计算策略，计算所述达温时长差对应的统计变量；
    对所述统计变量进行求平均，获得所述平均达温时长误差比例。
  23. 如权利要求22所述的方法，其中，所述变量计算策略包括单值计算策略、时间维度计算策略、用户维度计算策略，所述基于预设变量计算策略，计算所述达温时长差对应的统计变量的步骤包括：
    基于所述单值计算策略，获取空调器至少两个的历史时段的时长差，并根据所述至少两个历史周期的时长差确定所述统计变量；或，
    基于所述时间维度计算策略，获取预设时间段内的多个时长差，并根据所述预设时间段内的各个时长差确定所述统计变量；或，
    基于所述用户维度计算策略，获取不同目标用户的空调器的时长差，根据不同目标用户的空调器的各个所述时长差确定所述统计变量。
  24. 如权利要求23所述的方法，其中，所述获取不同目标用户的空调器的时长差，根据不同目标用户的空调器的各个所述时长差确定所述统计变量的步骤还包括：
    获取不同目标用户中的空调器中，位于所述预设时间段内的各个时长差，并根据所述预设时间段内的各个时长差中空调器的至少两个历史时段的时长差确定所述统计变量。
  25. 如权利要求20所述的方法，其中，所述根据所述平均达温时长误差比例确定所述控制参数的修正参数的步骤包括：
    根据所述平均达温时长误差比例所处区间，获得该区间所述控制参数对应的修正参数；或，
    对所述控制参数和所述平均达温时长误差比例进行求积运算，获得所述控制参数对应的修正参数。
  26. 如权利要求20所述的方法，其中，所述根据所述控制参数和所述修正参数，获得所述空调器的目标控制参数的步骤包括：
    当所述修正参数为修正值时，对所述控制参数和修正参数进行求和计算，获得所述空调器的目标控制参数；
    当所述修正参数为参数比例时，对所述控制参数和修正参数进行求积计算，获得所述空调器的目标控制参数。
  27. 如权利要求20至26中任一项所述的方法，其中，所述控制参数为至少两个，所述方法还包括：
    分别确定各个所述控制参数对应的修正参数，并根据各个所述修正参数和各个所述控制参数，确定所述空调器的目标控制参数组合；
    根据所述目标控制参数组合中的参数值控制所述空调器运行。
  28. 一种空调器，其中，所述空调器包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的空调器的控制程序，所述空调器的控制程序被所述处理器执行时实现如权利要求1至27中任一项所述的空调器的控制方法的步骤。
  29. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有空调器的控制程序，所述空调器的控制程序被处理器执行时实现如权利要求1至27中任一项所述的空调器的控制方法的步骤。
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