Air conditioning control methods, devices and air conditioning units

Abstract

This invention discloses an air conditioning control method, device, and air conditioning unit. The method includes: predicting the air conditioner's operating power based on a predictive model; setting the air conditioner's operating level according to the operating power; wherein the air conditioner's operating level corresponds one-to-one with the operating power; acquiring the ambient temperature parameters of the air conditioner; determining the air conditioner's operating level based on the ambient temperature parameters; and controlling the air conditioner's operation according to the operating level. This invention solves the problems of poor user experience or insufficient energy efficiency of air conditioners during peak electricity consumption periods in existing technologies, meeting users' heat exchange needs while avoiding electricity waste, and also contributing to maintaining grid stability.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and more specifically, to an air conditioning control method, device, and air conditioning unit. Background Technology

[0002] Carbon emissions from the construction industry are considerable, making building energy conservation particularly important. Heating, ventilation, and air conditioning (HVAC) systems, as crucial temperature control devices, are key to building energy conservation. In response to energy conservation efforts, while ensuring a stable power supply, efforts are being made to improve peak-valley electricity pricing mechanisms, promote the establishment of peak-price mechanisms, and foster green energy development.

[0003] In traditional building central air conditioning energy-saving control, the "peak shaving and valley filling" method is generally used for building energy storage. This involves using cold storage materials or solar power generation devices to store energy during off-peak hours and releasing it during peak hours to provide the building with the necessary energy. During peak hours, overall building load control is implemented, with peak electricity consumption restrictions enforced. Alternatively, control can be set according to the user's initial temperature setting, and once the desired temperature is achieved, the air conditioning temperature remains fixed.

[0004] The above methods have certain limitations. Peak electricity consumption restrictions are mandatory and cannot guarantee the user experience. Alternatively, once the requirements are met, the air conditioner temperature setting may be fixed, failing to fully tap into the user's energy-saving potential.

[0005] Currently, no effective solution has been proposed to address the issues of poor user experience or insufficient energy efficiency of air conditioners during peak electricity consumption periods in related technologies. Summary of the Invention

[0006] This invention provides an air conditioning control method, device, and air conditioning unit to at least solve the problems of poor user experience or insufficient energy efficiency of air conditioning during peak electricity consumption periods in the prior art.

[0007] To address the aforementioned technical problems, according to one aspect of the present invention, an air conditioning control method is provided, comprising:

[0008] Predicting the operating power of air conditioners based on a predictive model of air conditioner operating power;

[0009] The air conditioner operating level is set according to the operating power; the air conditioner operating level is set in a one-to-one correspondence with the operating power.

[0010] The system obtains the ambient temperature parameters of the air conditioner, determines the operating level of the air conditioner based on the ambient temperature parameters, and controls the operation of the air conditioner according to the operating level.

[0011] Furthermore, the operating power includes at least: maximum power, minimum power, and intermediate power; the independent variables of the prediction model include at least: outdoor ambient temperature, indoor ambient temperature, operating mode, and set temperature; the prediction model based on the air conditioner's operating power predicts the air conditioner's operating power, including:

[0012] Obtain the independent variables of the prediction model; where the set temperature includes at least the maximum value and the minimum value of the preset temperature range;

[0013] Substitute the independent variables into the prediction model to determine the maximum and minimum power;

[0014] The intermediate power is determined based on the maximum and minimum power.

[0015] Furthermore, the independent variables are substituted into the prediction model to determine the maximum and minimum power, including:

[0016] When the operating mode is cooling mode, the minimum value of the preset temperature range is substituted into the prediction model to determine the maximum power, and the maximum value of the preset temperature range is substituted into the prediction model to determine the minimum power.

[0017] When the operating mode is heating mode, the maximum value of the preset temperature range is substituted into the prediction model to determine the maximum power, and the minimum value of the preset temperature range is substituted into the prediction model to determine the minimum power.

[0018] Furthermore, the intermediate power is determined based on the maximum and minimum power, including:

[0019] Calculate the difference between the maximum power and the minimum power, and determine the power fluctuation value ∆p based on the difference, where ∆p=(p1-p2) / n, p1 is the maximum power, p2 is the minimum power, and n≥2;

[0020] The intermediate power pm is determined based on the minimum power p2 and the power fluctuation value ∆p, where pm = p2 + m * ∆p, m = [1, n-1].

[0021] Furthermore, the air conditioner operating level is set according to the operating power, including:

[0022] The air conditioner operating levels are set according to a one-to-one correspondence between maximum power, minimum power, and intermediate power; among them, the air conditioner operating level corresponding to the maximum power is the highest, and the air conditioner operating level corresponding to the minimum power is the lowest.

[0023] The set temperature corresponding to the air conditioner's operating level is determined based on the prediction model.

[0024] Furthermore, the air conditioning operating level is determined based on ambient temperature parameters, including:

[0025] The system detects the indoor and outdoor ambient temperatures and determines the air conditioner's operating level based on these temperatures. Specifically, in cooling mode, the higher the outdoor and / or indoor ambient temperatures, the higher the air conditioner's operating level; in heating mode, the lower the outdoor and / or indoor ambient temperatures, the higher the air conditioner's operating level.

[0026] Furthermore, determining the air conditioner operating level based on ambient temperature parameters also includes:

[0027] Detect the current indoor ambient temperature and adjust the air conditioner's operating level according to the current indoor ambient temperature and the preset temperature range.

[0028] Furthermore, the air conditioner's operating level is adjusted based on the current indoor ambient temperature and the preset temperature range, including:

[0029] Calculate the average value of the preset temperature range, and calculate the difference between the current indoor ambient temperature and the average value;

[0030] The air conditioner's operating level is adjusted based on the difference between the current indoor ambient temperature and the average temperature. Specifically, in the cooling model, when the difference between the current indoor ambient temperature and the average temperature is greater than a first preset difference, the air conditioner's operating level is increased up to the highest operating level; when the difference is less than a second preset difference, the air conditioner's operating level is decreased down to the lowest operating level or the unit is turned off. In the heating model, when the difference between the current indoor ambient temperature and the average temperature is greater than the first preset difference, the air conditioner's operating level is decreased down to the lowest operating level or the unit is turned off; when the difference is less than a second preset difference, the air conditioner's operating level is increased up to the highest operating level. The first preset difference is greater than zero, and the second preset difference is less than zero.

[0031] Furthermore, before setting the air conditioner operating level based on the operating power, it also includes:

[0032] During peak electricity consumption periods, check if the energy storage system has power.

[0033] If so, control the operation of the air conditioner according to the user's settings, and trigger the air conditioner to set the operating level according to the operating power after the energy storage system's power is used up;

[0034] Otherwise, the air conditioner's operating level will be set based on the operating power.

[0035] According to another aspect of the present invention, an air conditioning control device is provided, comprising:

[0036] The prediction module is used to predict the operating power of the air conditioner based on the prediction model of the air conditioner's operating power;

[0037] The setting module is used to set the air conditioner operating level according to the operating power; wherein, the air conditioner operating level is set in a one-to-one correspondence with the operating power.

[0038] The control module is used to acquire the ambient temperature parameters of the air conditioner, determine the operating level of the air conditioner based on the ambient temperature parameters, and control the operation of the air conditioner according to the operating level.

[0039] According to another aspect of the present invention, an air conditioning unit is provided, including the air conditioning control device as described above.

[0040] According to another aspect of the present invention, a storage medium containing computer-executable instructions is provided, which, when executed by a computer processor, are used to perform the air conditioning control method as described above.

[0041] This invention provides an air conditioner with multiple operating speeds and its control method. The method predicts the air conditioner's operating power by establishing a predictive model. Corresponding operating speeds are set for different operating power levels, allowing the air conditioning unit to operate with different power levels. After determining the operating speed, the ambient temperature parameter is acquired, and the operating speed is determined based on this parameter. The air conditioner's operation is then controlled according to the operating speed. Since these different operating speeds have different and adjustable power levels, their use during peak electricity consumption periods avoids poor user experience or energy inefficiencies caused by power restrictions or fixed temperature settings. This satisfies users' heat exchange needs while preventing power waste and also contributes to grid stability. Attached Figure Description

[0042] Figure 1 This is an optional control flowchart of an air conditioning control method according to an embodiment of the present invention;

[0043] Figure 2 This is an optional flowchart of an air conditioning control method according to an embodiment of the present invention;

[0044] Figure 3 This is an optional flowchart of the peak power consumption control method for air conditioning according to an embodiment of the present invention;

[0045] Figure 4 This is an optional flowchart of an air conditioning power consumption off-peak control method according to an embodiment of the present invention;

[0046] Figure 5 This is another optional flowchart of the air conditioning control method according to an embodiment of the present invention;

[0047] Figure 6 This is an optional structural block diagram of an air conditioning control device according to an embodiment of the present invention. Detailed Implementation

[0048] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0049] Example 1

[0050] In a preferred embodiment 1 of the present invention, an air conditioning control method is provided, which can be directly applied to various air conditioning units. Figure 1 This diagram illustrates one possible control flow chart for the air conditioning control method, such as... Figure 1 As shown, the server sends control commands, the air conditioner receives the control commands through the DTU module, and then sends them to the indoor unit. The indoor unit is equipped with a control chip to execute the control commands.

[0051] Figure 2 An optional flowchart of the air conditioning control method is shown, such as... Figure 2 As shown, the method includes the following steps S202-S206:

[0052] S202: Predict the operating power of the air conditioner based on a predictive model of the air conditioner's operating power; wherein, the operating power includes at least: maximum power, minimum power and intermediate power;

[0053] S204: Set the air conditioner operating level according to the operating power; wherein, the air conditioner operating level is set in a one-to-one correspondence with the operating power;

[0054] S206: Obtain the ambient temperature parameters of the air conditioner, determine the operating level of the air conditioner based on the ambient temperature parameters, and control the operation of the air conditioner according to the operating level.

[0055] In the above embodiments, a method for controlling an air conditioner with multiple operating levels is provided. This method predicts the operating power of the air conditioner by establishing a predictive model. Corresponding operating levels are set for different operating powers, so that the air conditioning unit has different operating power at different operating levels. After determining the operating level, the ambient temperature parameter of the air conditioner is acquired, and the operating level is determined based on the ambient temperature parameter. The air conditioner is then controlled according to the operating level. Since the different operating levels have different operating power and the levels are adjustable, using the air conditioner during peak electricity consumption periods can avoid the problems of poor user experience or insufficient energy efficiency caused by power restrictions or fixed temperature settings during peak periods. This satisfies users' heat exchange needs while avoiding power waste and also contributes to grid stability.

[0056] First, a predictive model is established. This model can be built based on historical user data. Specific data includes the dependent and independent variables of the predictive model. The dependent variable is the operating power. The independent variables include at least: outdoor ambient temperature, indoor ambient temperature, operating mode, and set temperature. That is, the model describes the changes in unit power under different indoor and outdoor ambient temperatures, user-set operating mode, set temperature, and the corresponding unit power: y(p) = f(T). 室外 T 室内 ,mode,T 设定 ), mode is the running mode.

[0057] The prediction model based on air conditioner operating power predicts the operating power of the air conditioner, including: obtaining the independent variables of the prediction model; wherein, the set temperature includes at least the maximum value and the minimum value of the preset temperature range; substituting the independent variables into the prediction model to determine the maximum power and the minimum power; and determining the intermediate power based on the maximum power and the minimum power.

[0058] Specifically, when the operating mode is cooling mode, the minimum value of the preset temperature range is substituted into the prediction model to determine the maximum power, and the maximum value of the preset temperature range is substituted into the prediction model to determine the minimum power; when the operating mode is heating mode, the maximum value of the preset temperature range is substituted into the prediction model to determine the maximum power, and the minimum value of the preset temperature range is substituted into the prediction model to determine the minimum power.

[0059] In an optional embodiment of the present invention, determining the intermediate power based on the maximum and minimum power includes: calculating the difference between the maximum and minimum power, and determining a power fluctuation value ∆p based on the difference, where ∆p = (p1-p2) / n, p1 is the maximum power, p2 is the minimum power, and n ≥ 2. Under the same environmental conditions, a larger predicted power difference between the highest and lowest set temperatures, i.e., a larger value of p1-p2, indicates greater potential for energy saving. In this case, a larger value of n can be selected, i.e., multiple air conditioning operating levels can be defined, and adjustments can be made across multiple operating levels to select the most suitable operating level. If the value of p1-p2 is small, it indicates that the maximum and minimum power are close. In this case, a smaller value of n can be selected, such as 2, reducing the number of operating levels and simplifying the adjustment process. Therefore, n is directly proportional to the magnitude of p1-p2.

[0060] After determining the maximum and minimum power, the intermediate power is determined based on the maximum and minimum power: the intermediate power pm is determined based on the minimum power p2 and the power fluctuation value ∆p, where pm = p2 + m * ∆p, m = [1, n-1].

[0061] When setting the air conditioner's operating level, the operating level is determined one-to-one with the maximum power, minimum power, and intermediate power. The maximum power corresponds to the highest operating level, and the minimum power corresponds to the lowest. After determining the operating level, the set temperature corresponding to that level is determined based on a prediction model. The set temperatures corresponding to the maximum and minimum power are the maximum and minimum preset temperatures, respectively, while the set temperature corresponding to the intermediate power needs to be determined by reverse calculation using the prediction model.

[0062] For example, in cooling mode n=2, the gear level fluctuates as follows: ∆p=(p1-p2) / 2;

[0063] Cooling modes are divided into different settings:

[0064] Table 1

[0065]

[0066] Where p2 + Δp = f(T) 室外 T 室内 ,mode,T 设定 The set temperature at that time.

[0067] After setting the operating level, the air conditioner's operating level is determined based on the ambient temperature parameters. Specifically, this includes detecting the indoor and outdoor ambient temperatures and determining the air conditioner's operating level based on these temperatures. In cooling mode, the higher the outdoor and / or indoor ambient temperatures, the higher the air conditioner's operating level. In heating mode, the lower the outdoor and / or indoor ambient temperatures, the higher the air conditioner's operating level.

[0068] For example, in cooling mode, T 室外 ≥35℃ and / or T 室内 ≥30℃, adjust to the third setting to meet user needs as much as possible; T 室外 ≥25℃ and / or T 室内 ≥25℃, adjust to the second setting, T 室外 ≥20℃ and / or T 室内 If the temperature is ≥20℃, adjust to the lowest setting or turn off. In heating mode, T 室外 ≤0℃, T 室内 ≤5℃, adjust to the third setting to meet user needs as much as possible; 0℃≤T 室外 ≤5℃, 5℃≤T 室内 ≤10℃, adjust to the second setting; 5℃≤T 室外 ≤25℃, 10℃≤T 室内 If the temperature is ≤25℃, adjust to the lowest setting or turn off the air conditioner to minimize energy consumption. If the user agrees to sacrifice user experience to earn energy-saving incentives, they can directly set the lowest setting or turn off the air conditioner.

[0069] The above settings can be either the initial operating setting determined when the air conditioner is running for the first time, or the setting used during operation. If it is the initial operating setting, the operating setting can be adjusted as follows during operation: detect the current indoor ambient temperature and adjust the air conditioner operating setting according to the current indoor ambient temperature and the preset temperature range.

[0070] Specifically, the air conditioner's operating level is adjusted based on the current indoor ambient temperature and a preset temperature range. This includes: calculating the average value of the preset temperature range and the difference between the current indoor ambient temperature and the average value; adjusting the air conditioner's operating level based on this difference. In the cooling model, when the difference between the current indoor ambient temperature and the average value is greater than a first preset difference, the air conditioner's operating level is increased up to the highest operating level; when the difference is less than a second preset difference, the air conditioner's operating level is decreased down to the lowest operating level or the unit is turned off. In the heating model, when the difference between the current indoor ambient temperature and the average value is greater than the first preset difference, the air conditioner's operating level is decreased down to the lowest operating level or the unit is turned off; when the difference is less than the second preset difference, the air conditioner's operating level is increased up to the highest operating level. The first preset difference is greater than zero, and the second preset difference is less than zero. This scheme allows for real-time adjustment of the air conditioner's operating level based on the indoor ambient temperature, optimizing the air conditioning unit's energy consumption while meeting user needs.

[0071] The above solution does not directly use the user's lowest set temperature as the peak-hour setting temperature. Instead, it prioritizes meeting the user's cooling and heating needs, setting different temperatures for different environments to achieve a balance between satisfying the user's real-time cooling and heating requirements and saving energy. For example, if the indoor and outdoor temperatures are very high and the user is overheating, the solution prioritizes meeting the user's cooling needs rather than solely focusing on energy saving.

[0072] The above-mentioned air conditioning control scheme can be adopted during peak electricity consumption periods. That is, before setting the air conditioning operating level according to the operating power, it also includes: during peak electricity consumption periods, detecting whether the energy storage system has power, and the air conditioner is an air conditioner with an energy storage system; if so, controlling the operation of the air conditioner according to the user's settings, and triggering the setting of the air conditioning operating level according to the operating power after the energy storage system's power is used up; otherwise, triggering the setting of the air conditioning operating level according to the operating power.

[0073] To avoid power shortages during peak hours and power surpluses during off-peak hours, this invention also establishes a method for controlling air conditioning power consumption during peak and off-peak periods. In addition to the aforementioned control scheme for peak power consumption, Embodiment 1 of this invention also provides another method for controlling air conditioning power consumption during peak periods. Specifically… Figure 3 An optional flowchart of the method is shown, such as Figure 3 As shown, the method includes the following steps S301-S305:

[0074] S301: During peak electricity consumption, the server sends a peak command, and the air conditioner receives the command and starts the peak control model.

[0075] S302: Is the battery energy storage device charged?

[0076] S303: The battery is charged. At this time, the air conditioner will maintain the user-set temperature.

[0077] S304: Battery energy storage is depleted. At this time, obtain the current indoor and outdoor temperatures.

[0078] S305: According to the above air conditioning control method (attached) Figure 2 Control the operation of the air conditioner.

[0079] Embodiment 1 of the present invention also provides another method for controlling air conditioning power consumption during off-peak hours, specifically, Figure 4 An optional flowchart of the method is shown, such as Figure 4 As shown, the method includes the following steps S401-S404:

[0080] S401: During a low electricity consumption period, the server sends a low-consumption command, and the air conditioner receives the command and activates the low-consumption control model.

[0081] S402: Is the battery energy storage device charged?

[0082] S403: The battery is depleted; charge the battery at this time.

[0083] S304: During off-peak hours, when the mains power supply meets the air conditioner's operating requirements, the air conditioner will operate at the user-set temperature and in the user-set mode.

[0084] Embodiment 1 of the present invention also provides another air conditioning control method, specifically, Figure 5 An optional flowchart of the method is shown, such as Figure 5 As shown, the method includes the following steps S501-S505:

[0085] S501: Obtain existing data and build a model; First, establish a prediction model. The specific data includes the dependent variable and independent variable of the prediction model. The dependent variable of the prediction model is the operating power, and the independent variables of the prediction model include at least: outdoor ambient temperature, indoor ambient temperature, operating mode, and set temperature.

[0086] S502: Acquire historical data (e.g., set temperature, indoor temperature, unit power); the predictive model can be trained based on the user's historical data to make the model more accurate;

[0087] S503: Establish a model for the change in unit power under different indoor and outdoor ambient temperatures, based on the user-set temperature; that is, a model for the change in unit power under different indoor and outdoor ambient temperatures, based on the user-set operating mode and set temperature: y(p)=f(T) 室外 T 室内 ,mode,T 设定 ), mode is the operating mode;

[0088] S504: Based on different indoor and outdoor ambient temperatures and predicted unit power, establish corresponding air conditioning operating levels; obtain the independent variables of the prediction model, wherein the set temperature includes at least the maximum value and minimum value of the preset temperature range; substitute the independent variables into the prediction model to determine the maximum power and minimum power, determine the intermediate power based on the maximum power and minimum power, and set the air conditioning operating levels one by one according to the maximum power, minimum power, and intermediate power; wherein the air conditioning operating level corresponding to the maximum power is the highest, and the air conditioning operating level corresponding to the minimum power is the lowest.

[0089] S505: Establishes a user-personalized temperature range profile to determine the user's acceptable temperature adjustment range. It obtains the user's preset temperature range and preferences, such as whether the user agrees to sacrifice user experience for energy-saving incentives. When adjusting temperature settings, it strives to meet the user's cooling needs while also achieving energy savings.

[0090] Example 2

[0091] Based on the air conditioning control method provided in Embodiment 1 above, an air conditioning control device is also provided in a preferred embodiment 2 of the present invention. Specifically, Figure 6 An alternative structural block diagram of the device is shown, such as... Figure 6 As shown, the device includes:

[0092] Prediction module 602 is used to predict the operating power of the air conditioner based on a prediction model of the air conditioner's operating power;

[0093] Setting module 604, connected to prediction module 602, is used to set the air conditioner operating level according to the operating power; wherein, the air conditioner operating level is set in a one-to-one correspondence with the operating power.

[0094] The control module 606, connected to the setting module 604, is used to acquire the ambient temperature parameters of the air conditioner, determine the operating level of the air conditioner based on the ambient temperature parameters, and control the operation of the air conditioner according to the operating level.

[0095] In the above embodiments, a method for controlling an air conditioner with multiple operating levels is provided. This method predicts the operating power of the air conditioner by establishing a predictive model. Corresponding operating levels are set for different operating powers, so that the air conditioning unit has different operating power at different operating levels. After determining the operating level, the ambient temperature parameter of the air conditioner is acquired, and the operating level is determined based on the ambient temperature parameter. The air conditioner is then controlled according to the operating level. Since the different operating levels have different operating power and the levels are adjustable, using the air conditioner during peak electricity consumption periods can avoid the problems of poor user experience or insufficient energy efficiency caused by power restrictions or fixed temperature settings during peak periods. This satisfies users' heat exchange needs while avoiding power waste and also contributes to grid stability.

[0096] The operating power includes at least: maximum power, minimum power, and intermediate power; the independent variables of the prediction model include at least: outdoor ambient temperature, indoor ambient temperature, operating mode, and set temperature; the prediction module 602 includes: an acquisition submodule for acquiring the independent variables of the prediction model; wherein the set temperature includes at least the maximum value and the minimum value of a preset temperature range; a first determination submodule for substituting the independent variables into the prediction model to determine the maximum power and minimum power; and a second determination submodule for determining the intermediate power based on the maximum power and minimum power.

[0097] The first determining submodule includes: a first determining unit, used to determine the maximum power by substituting the minimum value of the preset temperature range into the prediction model and the minimum power by substituting the maximum value of the preset temperature range into the prediction model when the operating mode is cooling mode; and a second determining unit, used to determine the maximum power by substituting the maximum value of the preset temperature range into the prediction model and the minimum power by substituting the minimum value of the preset temperature range into the prediction model when the operating mode is heating mode.

[0098] The second determining submodule includes: a calculation unit, used to calculate the difference between the maximum power and the minimum power, and determine the power fluctuation value ∆p based on the difference, where ∆p=(p1-p2) / n, p1 is the maximum power, p2 is the minimum power, and n≥2; and a third determining unit, used to determine the intermediate power pm based on the minimum power p2 and the power fluctuation value ∆p, where pm= p2+m*∆p, and m=[1,n-1].

[0099] The setting module 604 includes: a setting submodule, used to set the air conditioner operating level according to the maximum power, minimum power and intermediate power; wherein the air conditioner operating level corresponding to the maximum power is the highest and the air conditioner operating level corresponding to the minimum power is the lowest; and a third determining submodule, used to determine the set temperature corresponding to the air conditioner operating level according to the prediction model.

[0100] The control module 606 includes: a fourth determining submodule, used to detect indoor ambient temperature and outdoor ambient temperature, and determine the air conditioner operating level based on the indoor ambient temperature and outdoor ambient temperature; wherein, in cooling mode, the higher the outdoor ambient temperature and / or the indoor ambient temperature, the higher the air conditioner operating level; in heating mode, the lower the outdoor ambient temperature and / or the indoor ambient temperature, the higher the air conditioner operating level.

[0101] The control module 606 further includes an adjustment submodule, used to detect the current indoor ambient temperature and adjust the air conditioner's operating level according to the current indoor ambient temperature and a preset temperature range. This includes: calculating the average value of the preset temperature range and calculating the difference between the current indoor ambient temperature and the average value; adjusting the air conditioner's operating level according to the difference between the current indoor ambient temperature and the average value. Specifically, in the cooling model, when the difference between the current indoor ambient temperature and the average value is greater than a first preset difference, the air conditioner's operating level is increased until the highest operating level; when the difference between the current indoor ambient temperature and the average value is less than a second preset difference, the air conditioner's operating level is decreased until the lowest operating level or the unit is turned off. In the heating model, when the difference between the current indoor ambient temperature and the average value is greater than the first preset difference, the air conditioner's operating level is decreased until the lowest operating level or the unit is turned off; when the difference between the current indoor ambient temperature and the average value is less than the second preset difference, the air conditioner's operating level is increased until the highest operating level. The first preset difference is greater than zero, and the second preset difference is less than zero.

[0102] The device also includes: a detection module, used to detect whether the energy storage system has power during peak electricity consumption periods before setting the air conditioner operating level according to the operating power; a first trigger module, used to control the operation of the air conditioner according to the user's settings if the power is available, and to trigger the setting of the air conditioner operating level according to the operating power after the energy storage system's power is depleted; and a second trigger module, used to trigger the setting of the air conditioner operating level according to the operating power if the power is not available.

[0103] Regarding the apparatus in the above embodiments, the specific manner in which each unit and module performs its operations has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0104] Example 3

[0105] Based on the air conditioning control device provided in Embodiment 2 above, an air conditioning unit is also provided in a preferred embodiment 3 of the present invention, including the air conditioning control device as described above.

[0106] In the above embodiments, a method for controlling an air conditioner with multiple operating speeds is provided. This method predicts the operating power of the air conditioner by establishing a predictive model. The operating power includes at least three parameters: maximum power, minimum power, and intermediate power. Corresponding operating speeds are set for different operating power levels, allowing the air conditioning unit to operate with different power levels. After determining the operating speed, the ambient temperature parameters are obtained, and the operating speed is determined based on these parameters. The air conditioner is then controlled according to these operating speeds. Since the different operating speeds have different and adjustable power levels, their use during peak electricity consumption periods avoids poor user experience or energy inefficiencies caused by power restrictions or fixed temperature settings. This satisfies users' heat exchange needs while preventing power waste and also contributes to grid stability.

[0107] Example 4

[0108] Based on the air conditioning control method provided in Embodiment 1 above, in a preferred embodiment 4 of the present invention, a storage medium containing computer-executable instructions is also provided, which, when executed by a computer processor, is used to execute the air conditioning control method as described above.

[0109] In the above embodiments, a method for controlling an air conditioner with multiple operating speeds is provided. This method predicts the operating power of the air conditioner by establishing a predictive model. The operating power includes at least three parameters: maximum power, minimum power, and intermediate power. Corresponding operating speeds are set for different operating power levels, allowing the air conditioning unit to operate with different power levels. After determining the operating speed, the ambient temperature parameters are obtained, and the operating speed is determined based on these parameters. The air conditioner is then controlled according to these operating speeds. Since the different operating speeds have different and adjustable power levels, their use during peak electricity consumption periods avoids poor user experience or energy inefficiencies caused by power restrictions or fixed temperature settings. This satisfies users' heat exchange needs while preventing power waste and also contributes to grid stability.

[0110] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not invented by the invention. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0111] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. An air conditioning control method, characterized in that, include: Predicting the operating power of air conditioners based on a predictive model of air conditioner operating power; The air conditioner operating level is set according to the operating power; wherein, the air conditioner operating level is set in a one-to-one correspondence with the operating power; The ambient temperature parameter of the air conditioner is obtained, the operating level of the air conditioner is determined according to the ambient temperature parameter, and the operation of the air conditioner is controlled according to the operating level. The operating power includes at least: maximum power, minimum power, and intermediate power; the independent variables of the prediction model include at least: outdoor ambient temperature, indoor ambient temperature, operating mode, and set temperature. The prediction model based on air conditioner operating power predicts the operating power of the air conditioner, including: Obtain the independent variables of the prediction model; wherein the set temperature includes at least the maximum value and the minimum value of the preset temperature range; Substitute the independent variables into the prediction model to determine the maximum power and the minimum power; The intermediate power is determined based on the maximum power and the minimum power.

2. The method according to claim 1, characterized in that, Determining the maximum power and the minimum power by substituting the independent variables into the prediction model includes: When the operating mode is cooling mode, the minimum value of the preset temperature range is substituted into the prediction model to determine the maximum power, and the maximum value of the preset temperature range is substituted into the prediction model to determine the minimum power. When the operating mode is heating mode, the maximum value of the preset temperature range is substituted into the prediction model to determine the maximum power, and the minimum value of the preset temperature range is substituted into the prediction model to determine the minimum power.

3. The method according to claim 1, characterized in that, Determining the intermediate power based on the maximum power and the minimum power includes: Calculate the difference between the maximum power and the minimum power, and determine the power fluctuation value ∆p based on the difference, where ∆p=(p1-p2) / n, p1 is the maximum power, p2 is the minimum power, and n≥2; The intermediate power pm is determined based on the minimum power p2 and the power fluctuation value ∆p, where pm = p2 + m * ∆p, m = [1, n-1].

4. The method according to claim 1, characterized in that, Setting the air conditioner operating level according to the operating power includes: The air conditioner operating levels are set according to a one-to-one correspondence between the maximum power, the minimum power, and the intermediate power; wherein the air conditioner operating level corresponding to the maximum power is the highest, and the air conditioner operating level corresponding to the minimum power is the lowest. The set temperature corresponding to the air conditioner's operating setting is determined based on the prediction model.

5. The method according to claim 1, characterized in that, Determining the air conditioner's operating level based on the ambient temperature parameters includes: The system detects the indoor and outdoor ambient temperatures and determines the air conditioner's operating level based on these temperatures. In cooling mode, the higher the outdoor and / or indoor ambient temperatures, the higher the air conditioner's operating level. In heating mode, the lower the outdoor and / or indoor ambient temperatures, the higher the air conditioner's operating level.

6. The method according to claim 5, characterized in that, Determining the air conditioner operating level based on the ambient temperature parameter also includes: The current indoor ambient temperature is detected, and the air conditioner operating level is adjusted according to the current indoor ambient temperature and the preset temperature range.

7. The method according to claim 6, characterized in that, Adjusting the air conditioner's operating level according to the current indoor ambient temperature and the preset temperature range includes: Calculate the average value of the preset temperature range, and calculate the difference between the current indoor ambient temperature and the average value; The air conditioner's operating level is adjusted based on the difference between the current indoor ambient temperature and the average value. Specifically, in the cooling model, when the difference between the current indoor ambient temperature and the average value is greater than a first preset difference, the air conditioner's operating level is increased until the highest operating level; when the difference between the current indoor ambient temperature and the average value is less than a second preset difference, the air conditioner's operating level is decreased until the lowest operating level or the unit is turned off. In the heating model, when the difference between the current indoor ambient temperature and the average value is greater than the first preset difference, the air conditioner's operating level is decreased until the lowest operating level or the unit is turned off; when the difference between the current indoor ambient temperature and the average value is less than the second preset difference, the air conditioner's operating level is increased until the highest operating level. The first preset difference is greater than zero, and the second preset difference is less than zero.

8. The method according to claim 1, characterized in that, Before setting the air conditioner operating level according to the operating power, the method further includes: During peak electricity consumption periods, check if the energy storage system has power. If so, control the operation of the air conditioner according to the user's settings, and trigger the setting of the air conditioner's operating level according to the operating power after the energy storage system's power is depleted; Otherwise, the setting of the air conditioner operating level based on the operating power will be triggered.

9. An air conditioning control device, characterized in that, include: The prediction module is used to predict the operating power of the air conditioner based on the prediction model of the air conditioner's operating power; The setting module is used to set the air conditioner operating level according to the operating power; wherein, the air conditioner operating level is set in a one-to-one correspondence with the operating power; The control module is used to acquire the ambient temperature parameters of the air conditioner, determine the operating level of the air conditioner based on the ambient temperature parameters, and control the operation of the air conditioner according to the operating level. The operating power should include at least: maximum power, minimum power, and intermediate power; the independent variables of the prediction model should include at least: outdoor ambient temperature, indoor ambient temperature, operating mode, and set temperature. The prediction module includes: The acquisition submodule is used to acquire the independent variables of the prediction model; wherein, the set temperature includes at least the maximum value and the minimum value of the preset temperature range; The first determination submodule is used to substitute independent variables into the prediction model to determine the maximum and minimum power; The second determining submodule is used to determine the intermediate power based on the maximum power and the minimum power.

10. An air conditioning unit, characterized in that, Includes the air conditioning control device as described in claim 9.

11. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the air conditioning control method as described in any one of claims 1 to 8.

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