Air conditioner, control method thereof, and computer readable storage medium

Abstract

The application discloses a control method of an air conditioner, which comprises the following steps: acquiring a prediction time and a prediction air characteristic value corresponding to the prediction time, wherein the prediction time is a predicted time when a user uses the air conditioner, and the prediction air characteristic value is a parameter for representing air conditions of an environment where the air conditioner is located; determining a start-up control parameter of the air conditioner according to the prediction time and the prediction air characteristic value; and controlling the air conditioner to start up and operate according to the start-up control parameter. The application also discloses an air conditioner and a computer readable storage medium. The application aims to improve the accuracy of start-up operation regulation and control of the air conditioner, so that the air conditioner can adjust the environment to meet the comfort requirements of the user when the user starts to use the air conditioner.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and more particularly to a control method for an air conditioner, an air conditioner, and a computer-readable storage medium. Background Technology

[0002] With the development of economy and technology, air conditioners are being used more and more widely, and their functions are becoming more and more diversified. At present, some air conditioners have a timer function, which allows users to set the air conditioner to turn on before their use by entering a timer command, so that the air conditioner can adjust the ambient temperature in advance before the user uses it.

[0003] Currently, the operating parameters of an air conditioner when it is turned on are generally determined based on the environmental parameters detected when the user inputs a timed start-up command and the air conditioner's set environmental parameters. However, environmental conditions are prone to change, and there may be a significant deviation between the environmental conditions when the timed start-up command is received and the environmental conditions when the air conditioner is turned on. This can easily cause the air conditioner's start-up operation to be inconsistent with the actual operating conditions, resulting in the air conditioner failing to accurately adjust the environment to meet the user's comfort needs when the user starts using the air conditioner. Summary of the Invention

[0004] The main objective of this invention is to provide a control method for an air conditioner, an air conditioner, and a computer-readable storage medium, aiming to improve the accuracy of air conditioner start-up and operation regulation, and to improve the accuracy of matching the environmental conditions with the user's comfort needs when the user starts using the air conditioner.

[0005] To achieve the above objectives, the present invention provides a control method for an air conditioner, the control method comprising the following steps:

[0006] Obtain the predicted time and the predicted air characteristic value corresponding to the predicted time, wherein the predicted time is the predicted time when the user uses the air conditioner, and the predicted air characteristic value is a parameter characterizing the ambient air conditions where the air conditioner is located.

[0007] The start-up control parameters of the air conditioner are determined based on the predicted time and the predicted air characteristic value;

[0008] The air conditioner is controlled to start and operate according to the stated start-up control parameters.

[0009] Optionally, the step of determining the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value includes:

[0010] The target start-up time of the air conditioner is determined based on the predicted time and the predicted air characteristic value, and the start-up control parameters include the target start-up time.

[0011] Optionally, the predicted air characteristic value includes the predicted ambient temperature, and the step of determining the target start-up time of the air conditioner based on the predicted time and the predicted air characteristic value includes:

[0012] The prediction duration is determined based on the predicted ambient temperature. The prediction duration is the total time required for the air conditioner to adjust the temperature of its working space to the set temperature after it is turned on.

[0013] The target boot time is determined based on the predicted time and the predicted duration, wherein the target boot time is earlier than the predicted time.

[0014] Optionally, the step of determining the prediction duration based on the predicted ambient temperature includes:

[0015] Determine the temperature difference between the predicted ambient temperature and the set temperature, and determine the unit time required for the temperature of the space in which the air conditioner operates to change by a unit temperature value after the air conditioner is turned on, based on the predicted ambient temperature.

[0016] The predicted duration is determined based on the unit duration and the temperature difference value.

[0017] Optionally, the step of determining the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value includes:

[0018] The target operating parameters related to air conditioning when the air conditioner is turned on are determined based on the predicted time and the predicted air characteristic value, and the start-up control parameters include the target operating parameters.

[0019] Optionally, the predicted air characteristic value includes the predicted ambient temperature, and the step of determining the target operating parameters related to air conditioning when the air conditioner is turned on based on the predicted time and the predicted air characteristic value includes:

[0020] Determine the temperature difference between the predicted ambient temperature and the set temperature of the air conditioner;

[0021] The compressor operating frequency of the air conditioner is determined based on the temperature difference value and the predicted time, and the target operating parameters include the compressor operating frequency.

[0022] Optionally, the start-up control parameters include the target start-up time of the air conditioner and / or the target operating parameters related to air conditioning when the air conditioner is turned on, and the step of controlling the air conditioner to start up and operate according to the start-up control parameters includes:

[0023] The air conditioner is controlled to start at the target start time, and / or the air conditioner is controlled to operate according to the target operating parameters when it is started.

[0024] Optionally, the start-up control parameters include the target start-up time, and after the step of determining the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value, the method further includes:

[0025] When the predicted air characteristic value is outside the corresponding preset comfort value range, the air conditioning module corresponding to the predicted air characteristic value is determined.

[0026] When the air conditioner is not equipped with the air conditioning module, a purchase prompt message corresponding to the air conditioning module is output before the target start time.

[0027] Optionally, the step of obtaining the prediction time includes:

[0028] Obtain statistical data on the time the air conditioner responded to the user's command to turn on within a preset time period before the current moment;

[0029] The predicted time is determined based on the time statistics.

[0030] And / or, the step of obtaining the predicted air characteristic value of the environment where the air conditioner is located corresponding to the predicted time includes:

[0031] Obtain the first weather feature parameter at the current moment and the target duration between the current moment and the predicted time; input the first weather feature parameter and the target duration into the prediction model, and use the output of the prediction model as the predicted air feature value; wherein, the prediction model is trained through multiple weather data samples, and the weather data samples include multiple different interval durations and weather feature change data corresponding to each interval duration;

[0032] Alternatively, weather forecast information can be obtained from the network, and the predicted air characteristic value can be determined based on the weather forecast information.

[0033] In addition, to achieve the above objectives, this application also proposes an air conditioner, the air conditioner comprising: a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, wherein when the air conditioner control program is executed by the processor, it implements the steps of the air conditioner control method as described in any of the preceding claims.

[0034] In addition, to achieve the above objectives, this application also proposes a computer-readable storage medium storing a control program for an air conditioner, which, when executed by a processor, implements the steps of the control method for the air conditioner as described in any of the preceding claims.

[0035] This invention proposes a control method for an air conditioner. This method regulates the start-up operation of the air conditioner based on the predicted time of user use and the air characteristic values ​​of the environment in which the air conditioner is located. The predicted time accurately reflects the time the user uses the air conditioner, and the predicted air characteristic values ​​accurately reflect the environmental state when the user uses the air conditioner. By combining the predicted time and predicted air characteristic values ​​to regulate the start-up operation of the air conditioner, compared to regulating the start-up operation based on the environmental conditions when a timed start-up command is received, the matching degree between the start-up regulation of the air conditioner and the actual environmental adjustment needs of the user is improved. This effectively avoids the impact of environmental state fluctuations during the time period between receiving the timed start-up command and the user's use of the air conditioner on the accuracy of the start-up operation regulation. This allows the air conditioner to accurately adjust the environment to match the user's comfort needs at the actual time of user use, thereby improving the accuracy of the start-up operation regulation of the air conditioner and the accuracy of matching the environmental state with the user's comfort needs when the user starts using the air conditioner. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the hardware structure involved in the operation of an embodiment of the air conditioner of the present invention;

[0037] Figure 2 This is a flowchart illustrating an embodiment of the control method for an air conditioner according to the present invention;

[0038] Figure 3 This is a flowchart illustrating another embodiment of the control method for an air conditioner according to the present invention;

[0039] Figure 4 This is a flowchart illustrating another embodiment of the control method for an air conditioner according to the present invention;

[0040] Figure 5 This is a flowchart illustrating another embodiment of the control method for the air conditioner of the present invention.

[0041] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0042] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0043] The main solution of this invention is as follows: obtain the predicted time and the predicted air characteristic value corresponding to the predicted time, wherein the predicted time is the predicted time when the user uses the air conditioner, and the predicted air characteristic value is a parameter characterizing the ambient air conditions of the air conditioner; determine the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value; and control the air conditioner to start up and run based on the start-up control parameters.

[0044] In existing technology, air conditioners typically predict when a user will use the air conditioner and turn it on a certain amount of time in advance. After turning it on, the air conditioner operates according to pre-set fixed parameters. However, this method has poor control accuracy and can easily cause the air conditioner's operation to be inconsistent with the actual operating conditions, resulting in the air conditioner failing to adjust the environment to meet the user's comfort needs in a timely manner when the user starts using the air conditioner.

[0045] The present invention provides the above-mentioned solution, which aims to improve the accuracy of air conditioner start-up and operation control, so that the air conditioner can adjust the environment to meet the user's comfort needs in a timely manner when the user starts using the air conditioner.

[0046] This invention provides an air conditioner. The air conditioner can be any type, such as a wall-mounted air conditioner, a cabinet air conditioner, a portable air conditioner, a window air conditioner, a multi-split air conditioner, or a ceiling-mounted air conditioner.

[0047] In this embodiment of the invention, reference is made to Figure 1 The air conditioner includes a control device 1 and an air conditioning module connected to the control device 1. The air conditioning module is specifically used to regulate the indoor ambient air.

[0048] Specifically, refer to Figure 1 The air conditioning module includes a heat pump system 21, which comprises a compressor, a first heat exchanger, a throttling device, and a second heat exchanger connected in sequence. Each heat exchanger is equipped with a corresponding fan. The heat pump system 21 can be used to regulate the temperature and / or humidity of the indoor ambient air.

[0049] Furthermore, refer to Figure 1 In addition to the heat pump system 21, the air conditioning module may also include one or more functional modules for air conditioning, such as a humidity control module 22 (e.g., a humidifier and / or a dehumidifier), a purification module 23 (e.g., a sterilization module and / or a formaldehyde removal module), an oxygenation module 24, and / or an aromatherapy module.

[0050] In this embodiment of the invention, reference is made to Figure 1 The control device 1 of the air conditioner includes: a processor 1001 (e.g., CPU), a memory 1002, a timer 1003, etc. The memory 1002 can be a high-speed RAM or a stable memory (non-volatile memory), such as a disk storage device. Optionally, the memory 1002 can also be a storage device independent of the aforementioned processor 1001.

[0051] Those skilled in the art will understand that Figure 1 The device structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0052] like Figure 1 As shown, the memory 1002, which is a computer-readable storage medium, may include a control program for an air conditioner. Figure 1 In the device shown, the processor 1001 can be used to call the control program of the air conditioner stored in the memory 1002 and execute the relevant steps of the control method of the air conditioner in the following embodiments.

[0053] This invention also provides a control method for an air conditioner, applied to the aforementioned air conditioner.

[0054] Reference Figure 2 This application proposes an embodiment of a control method for an air conditioner. In this embodiment, the control method for the air conditioner includes:

[0055] Step S10: Obtain the predicted time and the predicted air feature value corresponding to the predicted time. The predicted time is the predicted time when the user uses the air conditioner, and the predicted air feature value is a parameter characterizing the ambient air conditions of the air conditioner.

[0056] In this embodiment, the predicted time is specifically the predicted time when the user starts using the air conditioner. In other embodiments, the predicted time may also be the predicted time period during which the user uses the air conditioner or the predicted time when the user finishes using the air conditioner, etc.

[0057] The predicted time can be obtained by analyzing the current user usage data of the air conditioner, or by analyzing the user usage data of multiple different air conditioners (such as multiple air conditioners in a preset area or multiple air conditioners of the predicted type).

[0058] The predicted air quality characteristic value corresponding to the prediction time may include a first predicted air quality characteristic value at the current prediction time (e.g., the moment the user starts using the air conditioner) and / or a second predicted air quality characteristic value within a preset time period prior to the prediction time. It should be noted that the prediction time is the time after the current moment.

[0059] Predicted air quality characteristics may include one or more air parameters. Specifically, predicted air quality characteristics may include one or more of the following: predicted temperature, predicted humidity, and / or predicted concentration of target substances (such as inhalable particulate matter concentration, carbon dioxide concentration, harmful gas concentration, and / or oxygen concentration). The data types that can be included in predicted air quality characteristics may be the system default settings, user-defined settings, or determined based on the system operating mode.

[0060] Predicted air quality characteristics can be obtained by analyzing historical operating data of the air conditioner, or by analyzing weather forecast data for the area where the air conditioner is located.

[0061] Step S20: Determine the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value;

[0062] The start-up control parameters are specifically parameters used to control the operating characteristics related to the start-up of the air conditioner. In this embodiment, the start-up control parameters include the target start-up time of the air conditioner and / or the target operating parameters related to air conditioning when the air conditioner is started. In other embodiments, the start-up control parameters may also include operating control parameters of other external air conditioning equipment associated with the air conditioner (such as on / off control parameters, operating power, etc.).

[0063] Start-up control parameters corresponding to different forecast times and different forecast air characteristic values.

[0064] Specifically, the start-up control parameters include the target start-up time, which is determined based on the predicted time and predicted air characteristic value. Different predicted times and different predicted air characteristic values ​​correspond to different target start-up times.

[0065] Specifically, the start-up control parameters include target operating parameters related to air conditioning when the air conditioner is turned on. These target operating parameters are determined based on the predicted time and predicted air characteristic values; different predicted times and different predicted air characteristic values ​​correspond to different target operating parameters. Different types of target operating parameters can be set depending on the air parameters to be adjusted. For example, when adjusting ambient temperature and / or ambient humidity, target operating parameters may include operating parameters such as compressor operating frequency, fan speed, and / or electronic expansion valve opening in the heat pump system, and / or operating parameters of the heating module; when adjusting ambient humidity, it may also include humidity adjustment amount, humidity adjustment duration, and operating power of the humidification or dehumidification module; when adjusting oxygen content, it may include the operating power of the oxygenation module and / or intake air temperature.

[0066] Specifically, the start-up control parameters include the target start-up time and the aforementioned target operating parameters. The target operating parameters can be determined based on the predicted time and predicted air characteristic values. Alternatively, the target start-up time can be determined first based on the predicted time and predicted air characteristic values, and then the target operating parameters can be determined based on the same time. Or, a first mapping relationship between predicted time, predicted air characteristic values, and start-up time, and a second mapping relationship between predicted time, predicted air characteristic values, and operating parameters can be established in advance. The time values ​​corresponding to the predicted time and predicted air characteristic values ​​in the first mapping relationship can be used as the target start-up time, and the operating parameters corresponding to the predicted time and predicted air characteristic values ​​in the second mapping relationship can be used as the target operating parameters.

[0067] Step S30: Control the air conditioner to start and run according to the start-up control parameters.

[0068] The air conditioner is controlled to start and run according to the start-up control parameters, and the air conditioner adjusts the ambient air when it is running.

[0069] In this embodiment, the start-up control parameters include the target start-up time of the air conditioner and / or the target operating parameters related to air conditioning when the air conditioner is turned on. The step of controlling the start-up operation of the air conditioner according to the start-up control parameters includes: controlling the air conditioner to start at the target start-up time, and / or controlling the air conditioner to operate according to the target operating parameters when the air conditioner is turned on.

[0070] The target start-up time is earlier than the predicted time mentioned above. When the air conditioner is controlled to operate according to the target operating parameters, it can be controlled to maintain the target operating parameters for at least the predicted time.

[0071] When the start-up control parameters include a target start-up time, the air conditioner can be controlled to start up at the target start-up time and operate according to the preset operating parameters for air conditioning.

[0072] When the start-up control parameters include target operating parameters, the air conditioner can be started at the predicted time or at a preset time before the predicted time, and the air conditioner can be controlled to operate according to the target operating parameters.

[0073] When the start-up control parameters include the target start-up time and target operating parameters, the air conditioner can be controlled to start up at the target start-up time and operate at the target operating parameters when the air conditioner is started up.

[0074] In other embodiments, when the start-up control parameters include the operating control parameters of the external air conditioning device, a target instruction corresponding to the operating control parameters can be determined, and the air conditioner can be controlled to send the target instruction to the external air conditioning device so that the air conditioner can coordinate with the external air conditioning device when it is turned on.

[0075] This invention proposes a control method for an air conditioner. This method regulates the air conditioner's operation based on a predicted user usage time and the air quality characteristics of the surrounding environment. The predicted time accurately reflects the user's air conditioning usage time, and the predicted air quality characteristics accurately reflect the environmental conditions at the time of use. Combining the predicted time and predicted air quality characteristics to regulate the air conditioner's operation improves the match between the air conditioner's operation and the user's actual environmental adjustment needs. It effectively avoids the impact of environmental fluctuations between receiving the timed start-up command and the user's air conditioning usage on the accuracy of the air conditioner's operation regulation. This ensures that after the air conditioner is turned on, the environment is precisely adjusted to match the user's comfort needs at the actual time of use, thereby improving the accuracy of the air conditioner's operation regulation and the accuracy of matching the environmental conditions with the user's comfort needs when the user begins using the air conditioner.

[0076] Specifically, when determining the target start-up time of the air conditioner based on the predicted time and predicted air characteristic values, it is ensured that the start-up time matches the air conditioning effect under its actual operating conditions. This ensures that precise control of the start-up time allows the environment to be adjusted to meet the user's comfort needs promptly after the air conditioner is turned on. Furthermore, when determining the target operating parameters of the air conditioner based on the predicted time and predicted air characteristic values, it is ensured that the air conditioning efficiency after the air conditioner is turned on matches the air conditioning effect under its actual operating conditions. This ensures that precise control of the operating parameters effectively improves the accuracy of matching the environmental state with the user's comfort needs after the air conditioner is turned on.

[0077] Furthermore, in this embodiment, the step of obtaining the predicted time includes: obtaining statistical data on the time the air conditioner responds to user commands to turn on within a preset time period before the current moment; and determining the predicted time based on the statistical data. For example, the time the air conditioner is turned on by user input commands over the past N consecutive days is used as statistical data, and the average of all data in the statistical data is determined as the predicted time; another example is the time the air conditioner is turned on by user input commands over the past N days that meet preset conditions (such as every Monday) is used as statistical data, and the average of all data in the statistical data is determined as the predicted time; yet another example is the time the air conditioner is turned on by user input commands over the past N consecutive days is used as statistical data, and the statistical data is trained using machine learning to obtain the predicted time.

[0078] In this embodiment, the predicted time is obtained by analyzing the user's past self-activated time data, thereby ensuring that the predicted time can accurately reflect the user's usage needs for the air conditioner, so as to ensure that the air conditioner's start-up operation can be accurately matched with the user's usage needs, and further ensure that the air conditioner can adjust the environment to meet the user's comfort when the user uses the air conditioner.

[0079] Furthermore, in this embodiment, the step of obtaining the predicted air characteristic value of the environment where the air conditioner is located corresponding to the predicted time includes one of the following methods:

[0080] Method 1: Obtain the first weather feature parameter at the current moment and the target duration between the current moment and the predicted time; input the first weather feature parameter and the target duration into the prediction model, and use the output of the prediction model as the predicted air feature value; wherein, the prediction model is trained through multiple weather data samples, the weather data samples include multiple different interval durations and weather feature change data corresponding to each interval duration. The types of the first and second weather feature parameters can be determined according to the type of predicted air feature value to be obtained. Specifically, extract multi-dimensional information features (i.e., the first weather feature parameter) from historical weather data; use the above features as independent variables and the target duration as dependent variables to perform supervised learning (e.g., Bayesian methods) to obtain the prediction model; based on the current weather data, extract multi-dimensional information features (i.e., the second weather feature parameter) and input them into the prediction model, and the output of the prediction model can be used as the predicted air feature value.

[0081] Method 2: Obtain weather forecast information via the network and determine the predicted air quality characteristics based on the weather forecast information. Specifically, the cloud server obtains weather forecast information for each city from the meteorological bureau / third-party weather services. The air conditioner sends a weather forecast query command to the cloud server via the Internet of Things. After receiving the query command from the air conditioner, the cloud server returns future weather forecast information based on the city located by the air conditioner. After receiving the weather forecast information, the air conditioner extracts information such as temperature, humidity, and / or PM2.5 as predicted air quality characteristics.

[0082] In this embodiment, the predicted air characteristic value corresponding to the predicted time can be accurately obtained through the above method, thereby ensuring the accuracy of the subsequently determined start-up control parameters, so as to further ensure that the air conditioner can adjust the environment to meet the user's comfort when the user uses the air conditioner.

[0083] Furthermore, based on the above embodiments, another embodiment of the control method for the air conditioner of this application is proposed. In this embodiment, predicting air characteristic values ​​includes predicting ambient temperature, which in this embodiment is the outdoor ambient temperature. In other embodiments, the predicted ambient temperature may also be the indoor ambient temperature; or, the predicted ambient temperature may also include both the indoor and outdoor ambient temperatures. Based on this, referring to... Figure 3 The step of determining the target start-up time of the air conditioner based on the predicted time and the predicted air characteristic value includes:

[0084] Step S21: Determine the prediction duration based on the predicted ambient temperature. The prediction duration is the total time required for the air conditioner to adjust the temperature of its working space to the set temperature after it is turned on.

[0085] The set temperature is specifically the target value that the indoor ambient temperature should reach when the air conditioner is running. The set temperature can be a temperature preset by the user based on their needs, a parameter set by default by the air conditioner, or a parameter automatically determined by the air conditioner based on the actual scenario of the space in which it operates.

[0086] Different predicted ambient temperatures correspond to different prediction durations. Specifically, a correspondence between predicted ambient temperature and prediction duration can be established in advance. This correspondence can be a mapping relationship, a calculation relationship, etc. Specifically, the prediction duration can be calculated by substituting the preset ambient temperature into a preset formula; alternatively, the preset ambient temperature can be queried from a preset mapping relationship, and the mapped value of the preset ambient temperature in the preset mapping relationship can be used as the prediction duration.

[0087] Specifically, the relationship between predicted ambient temperature and prediction duration varies depending on the required heat exchange mode of the air conditioner. When the heat exchange mode is cooling, the prediction duration is positively correlated with the predicted ambient temperature; when the heat exchange mode is heating, the prediction duration is negatively correlated with the predicted ambient temperature. The required heat exchange mode of the air conditioner can be determined based on user-set parameters or the predicted ambient temperature. For example, if the predicted ambient temperature is higher than a first temperature threshold, the heat exchange mode is determined to be cooling; if the predicted ambient temperature is lower than a second temperature threshold, the heat exchange mode is determined to be heating, where the second temperature threshold is lower than the first temperature threshold.

[0088] Furthermore, the prediction duration can be determined based on the temperature difference between the predicted ambient temperature and the set temperature. In this embodiment, the temperature difference is the absolute value of the difference between the predicted ambient temperature and the set temperature, and the prediction duration is positively correlated with the temperature difference. In other embodiments, the temperature difference may also be the difference between the predicted ambient temperature and the set temperature.

[0089] Step S22: Determine the target power-on time based on the predicted time and the predicted duration, wherein the target power-on time is earlier than the predicted time.

[0090] Specifically, let the predicted time be T0 and the predicted duration be t. Then the target startup time T = T0 - t. For example, if the predicted time is 15:00 and the predicted duration is 30 minutes, then the target startup time is 14:30.

[0091] In this embodiment, the predicted time is adjusted to obtain the target start-up time of the air conditioner by adapting to the time required for the air conditioner to adjust to the set temperature determined by the predicted ambient temperature. This allows the air conditioner to be turned on in advance at the target start-up time before the user uses the air conditioner, so that the air conditioner can accurately adjust the environment to the set temperature that meets the user's comfort needs when the user starts using the air conditioner.

[0092] Furthermore, in this embodiment, the step of determining the prediction duration based on the predicted ambient temperature includes: determining the unit duration required for a unit temperature change in the space where the air conditioner operates after it is turned on, based on the predicted ambient temperature, and determining the temperature difference between the predicted ambient temperature and the set temperature; and determining the prediction duration based on the unit duration and the temperature difference.

[0093] The unit temperature value can be a pre-set parameter or a parameter set by the user.

[0094] Different predicted ambient temperatures correspond to different unit durations. Specifically, a correspondence between ambient temperature and unit duration can be established in advance, such as a mapping relationship or a quantitative relationship. Different heat exchange modes can correspond to different correspondences. Based on the established correspondence, the unit duration corresponding to the current predicted ambient temperature is determined. Furthermore, the duration data required for the change in indoor ambient temperature by a unit temperature value under different outdoor ambient temperature conditions within a preset time period before the current moment of the air conditioner can be obtained. The correspondence between ambient temperature and unit duration is determined based on multiple duration data. Based on the established correspondence, the unit duration corresponding to the current predicted ambient temperature is determined. Specifically, based on the correspondence, the unit duration can be obtained by calculating or querying the mapping relationship using the predicted ambient temperature.

[0095] Furthermore, the unit duration can be determined based on the temperature difference value, with different temperature difference values ​​corresponding to different unit durations. Specifically, in cooling mode, when the predicted ambient temperature is lower than the first set temperature threshold, the unit duration is negatively correlated with the temperature difference value; when the predicted ambient temperature is higher than the first set temperature threshold, the unit duration is positively correlated with the temperature difference value. In heating mode, when the predicted ambient temperature is higher than the second set temperature threshold, the unit duration is positively correlated with the temperature difference value; when the predicted ambient temperature is lower than the second set temperature threshold (when the outdoor temperature is too low), the unit duration is negatively correlated with the temperature difference value. The second set temperature threshold is lower than the first set temperature threshold.

[0096] In this embodiment, the temperature difference value is the absolute value of the difference between the predicted ambient temperature and the set temperature. In other embodiments, the temperature difference value may also be the difference between the predicted ambient temperature and the set temperature.

[0097] After obtaining the temperature difference value and the unit time, the product of the temperature difference value and the unit time can be used as the predicted duration. For example, the predicted duration t = tu * (Tr - Tm), where Tr is the predicted ambient temperature, Tm is the set temperature, and tu is the unit time. In other embodiments, the product of the temperature difference value and the unit time can also be further modified and used as the predicted duration.

[0098] In this embodiment, the determined unit duration can accurately reflect the temperature regulation efficiency of the air conditioner under the corresponding environmental conditions. Based on this, the predicted time required for the air conditioner to adjust to the set temperature is determined by combining the temperature difference value and the unit duration adapted to the predicted ambient temperature. This can further improve the accuracy of the air conditioner's target start-up time, thereby ensuring that the air conditioner can accurately reach the set temperature during the predicted user's air conditioning usage time after starting up at the target start-up time, so that the indoor environment can accurately meet the user's comfort needs.

[0099] Furthermore, based on any of the above embodiments, another embodiment of the control method for the air conditioner of this application is proposed. In this embodiment, the predicted air characteristic value includes the predicted ambient temperature, which in this embodiment is the outdoor ambient temperature. In other embodiments, the predicted ambient temperature may also be the indoor ambient temperature; or, the predicted ambient temperature may also include both the indoor and outdoor ambient temperatures. (Refer to...) Figure 4 The step of determining the target operating parameters related to air conditioning when the air conditioner is turned on, based on the predicted time and the predicted air characteristic value, includes:

[0100] Step S23: Determine the temperature difference between the predicted ambient temperature and the set temperature of the air conditioner;

[0101] In this embodiment, the temperature difference value is the absolute value of the difference between the predicted ambient temperature and the set temperature. In other embodiments, the temperature difference value may also be the absolute value of the difference between the predicted ambient temperature and the set temperature.

[0102] The set temperature here is the same concept as the set temperature in the above embodiments, and will not be described again here.

[0103] In the case where the start-up control parameters include the target operating parameters and the aforementioned target start-up time, the step of determining the temperature difference value in the target start-up time can specifically refer to the same step as step S23 here.

[0104] Step S24: Determine the compressor operating frequency of the air conditioner based on the temperature difference value and the predicted time, wherein the target operating parameters include the compressor operating frequency.

[0105] Different temperature differences and different prediction times can correspond to different compressor operating frequencies.

[0106] In one implementation of this embodiment, the target start-up time can be determined first based on the predicted time, and then the compressor operating frequency can be determined based on the target start-up time and the temperature difference value. Specifically, the target start-up time can be determined based on the predicted time and predicted ambient temperature as described in the above embodiment, or it can be determined based on the predicted time and a preset duration. Different target start-up times and different temperature difference values ​​correspond to different compressor operating frequencies.

[0107] In another implementation of this embodiment, the temperature adjustment duration of the air conditioner can be obtained based on the predicted time. Different predicted times correspond to different adjustment durations. The compressor operating frequency is determined based on the temperature difference and the adjustment duration, with different temperature differences and different adjustment durations corresponding to different compressor operating frequencies. Specifically, the compressor operating frequency is positively correlated with the temperature difference and negatively correlated with the adjustment duration.

[0108] In this embodiment, the compressor operating frequency after the air conditioner is turned on is determined by the temperature difference value and the predicted time, thereby ensuring that the heat exchange capacity of the air conditioner after it is turned on can be accurately matched with the actual working conditions, and ensuring that the heat exchange output by the air conditioner after it is turned on can accurately adjust the environment to the set temperature when the user uses the air conditioner.

[0109] In other embodiments, when the target control parameters include the target start-up time and target operating parameters, the target start-up time can be determined based on the predicted time and predicted air characteristic values, and the target operating parameters can be determined based on the predicted air characteristic values. Specifically, the predicted air characteristic values ​​include the predicted ambient temperature, and the target operating parameters include the compressor operating frequency. Therefore, after determining the unit duration and temperature difference value mentioned in the above embodiments based on the predicted ambient temperature, the compressor operating frequency can be determined based on the temperature difference value and the unit duration. This ensures that the compressor's output capacity accurately matches the output capacity required by the actual operating conditions at the time of start-up, ensuring that the heat exchange output by the air conditioner after start-up can accurately adjust the environment to meet the user's comfort needs within the predicted time.

[0110] Furthermore, based on any of the above embodiments, another embodiment of the control method for the air conditioner of this application is proposed. In this embodiment, the start-up control parameters include the target start-up time, referring to... Figure 5 After step S20, the following steps are also included:

[0111] Step S201: When the predicted air characteristic value is outside the corresponding preset comfort value range, determine the air conditioning module corresponding to the predicted air characteristic value.

[0112] Different types of predicted air quality characteristics correspond to different types of preset comfort value ranges. For example, if the preset air quality characteristic is predicted air humidity, then the preset comfort value range is the comfortable humidity range; if the preset air quality characteristic is predicted inhalable particulate matter concentration, then the preset comfort value range is the inhalable particulate matter concentration range corresponding to the user's comfortable state; and if the preset air quality characteristic is predicted formaldehyde concentration, then the preset comfort value range is the formaldehyde concentration range that the user is allowed to inhale for health reasons.

[0113] Different types of predicted air quality characteristics correspond to different types of air conditioning modules. Even within the same type of predicted air quality characteristic, different values ​​can result in different air conditioning modules. Specifically, if the preset air quality characteristic is predicted humidity, and the predicted humidity is below the comfortable humidity range, the air conditioning module is a humidifier; if the preset air quality characteristic is predicted humidity, and the predicted humidity is above the comfortable humidity range, the air conditioning module is a dehumidifier. If the predicted air quality characteristic is predicted particulate matter concentration, the air conditioning module is a purification module. If the predicted air quality characteristic is predicted formaldehyde concentration, the air conditioning module is a formaldehyde removal module, and so on.

[0114] Step S202: When the air conditioner is not equipped with the air conditioning module, output the purchase prompt information corresponding to the air conditioning module before the target start time.

[0115] Specifically, it can control the air conditioner's display screen to output purchase prompts; it can also control the air conditioner to send preset commands to its bound user terminal, causing the user terminal to output purchase prompts.

[0116] Specifically, purchase reminder messages can be output at set intervals before the target power-on time. Simultaneously, environmental status reminder messages corresponding to predicted air quality characteristics can also be output.

[0117] In this embodiment, the user is reminded in advance to purchase the required air conditioning module when the air conditioner is not installed, thereby ensuring that the air conditioner can meet the user's comfort needs when it is turned on.

[0118] Furthermore, this invention also proposes a computer-readable storage medium storing a control program for an air conditioner. When the control program is executed by a processor, it implements the relevant steps of any of the above-described air conditioner control methods.

[0119] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0120] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0121] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0122] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A control method for an air conditioner, characterized in that, The control method for the air conditioner includes the following steps: Obtain the predicted time and the predicted air characteristic value corresponding to the predicted time, wherein the predicted time is the predicted time when the user starts using the air conditioner, and the predicted air characteristic value is a parameter characterizing the ambient air conditions where the air conditioner is located. The start-up control parameters of the air conditioner are determined based on the predicted time and the predicted air characteristic value; The air conditioner is controlled to start and operate according to the aforementioned start-up control parameters; The step of determining the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value includes: The target start-up time of the air conditioner is determined based on the predicted time and the predicted air characteristic value. Based on the predicted time and the predicted air characteristic value, determine the target operating parameters related to air conditioning when the air conditioner is turned on; The start-up control parameters include the target start-up time of the air conditioner and the target operating parameters related to air conditioning when the air conditioner is turned on. The step of controlling the air conditioner to start up and operate according to the start-up control parameters includes: The air conditioner is controlled to start at the target start time, and its operation is controlled according to the target operating parameters when the air conditioner is started. The predicted air characteristic value includes the predicted ambient temperature. The predicted air characteristic value corresponding to the prediction time also includes a first predicted air characteristic value at the current prediction time and a second predicted air characteristic value within a preset time period before the prediction time. The step of determining the target operating parameters related to air conditioning when the air conditioner is turned on based on the prediction time and the predicted air characteristic value includes: Determine the temperature difference between the predicted ambient temperature and the set temperature of the air conditioner; The operating frequency of the air conditioner's compressor is determined based on the temperature difference value and the predicted time, and the target operating parameters include the compressor operating frequency; The step of determining the compressor operating frequency of the air conditioner based on the temperature difference value and the predicted time includes: The temperature adjustment duration of the air conditioner is obtained based on the predicted time. The compressor operating frequency is determined based on the temperature difference value and the temperature adjustment duration. The compressor operating frequency is positively correlated with the temperature difference value, and the compressor operating frequency is negatively correlated with the temperature adjustment duration.

2. The control method for an air conditioner as described in claim 1, characterized in that, The step of determining the target start-up time of the air conditioner based on the predicted time and the predicted air characteristic value includes: The prediction duration is determined based on the predicted ambient temperature. The prediction duration is the total time required for the air conditioner to adjust the temperature of its working space to the set temperature after it is turned on. The target boot time is determined based on the predicted time and the predicted duration, wherein the target boot time is earlier than the predicted time.

3. The control method for an air conditioner as described in claim 2, characterized in that, The step of determining the prediction duration based on the predicted ambient temperature includes: Determine the temperature difference between the predicted ambient temperature and the set temperature, and determine the unit time required for the temperature of the space in which the air conditioner operates to change by a unit temperature value after the air conditioner is turned on, based on the predicted ambient temperature. The predicted duration is determined based on the unit duration and the temperature difference value.

4. The control method for an air conditioner as described in any one of claims 1 to 3, characterized in that, After the step of determining the start-up control parameters of the air conditioner based on the predicted time and the predicted air characteristic value, the method further includes: When the predicted air characteristic value is outside the corresponding preset comfort value range, the air conditioning module corresponding to the predicted air characteristic value is determined. When the air conditioner is not equipped with the air conditioning module, a purchase prompt message corresponding to the air conditioning module is output before the target start time.

5. The control method for an air conditioner as described in any one of claims 1 to 3, characterized in that, The steps for obtaining the prediction time include: Obtain statistical data on the time the air conditioner responded to the user's command to turn on within a preset time period before the current moment; The predicted time is determined based on the time statistics. And / or, the step of obtaining the predicted air feature value corresponding to the predicted time includes: Obtain the first weather feature parameter at the current moment and the target duration between the current moment and the predicted time; input the first weather feature parameter and the target duration into the prediction model, and use the output of the prediction model as the predicted air feature value; wherein, the prediction model is trained through multiple weather data samples, and the weather data samples include multiple different interval durations and weather feature change data corresponding to each interval duration; Alternatively, weather forecast information can be obtained from the network, and the predicted air characteristic value can be determined based on the weather forecast information.

6. An air conditioner, characterized in that, The air conditioner includes: a memory, a processor, and a control program for the air conditioner stored in the memory and executable on the processor. When the control program for the air conditioner is executed by the processor, it implements the steps of the control method for the air conditioner as described in any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a control program for an air conditioner, which, when executed by a processor, implements the steps of the control method for an air conditioner as described in any one of claims 1 to 5.

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