Air conditioner energy-saving prediction method, device, electronic control box and air conditioner

Abstract

The present application discloses an energy-saving prediction method, device, electronic control box and air conditioner for an air conditioner, which relates to the field of air conditioners and is used to solve the technical problems of poor accuracy and low efficiency existing in the energy-saving prediction method for air conditioners. The method includes: receiving an identifier of a first comfort level for a target indoor unit; predicting a first power consumption for controlling the target indoor unit to achieve the first comfort level according to a first air supply temperature range corresponding to the identifier of the first comfort level; obtaining a reference power consumption for controlling the target indoor unit in the current operating mode; the reference power consumption is the power consumption required for the air conditioner to control the target indoor unit to achieve the user-preferred temperature; obtaining a prediction result according to the reference power consumption and the first power consumption; the prediction result is used to represent whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level. The energy-saving prediction method, device, electronic control box and air conditioner disclosed in the present application are used to improve the accuracy and efficiency of the energy-saving prediction method for air conditioners.

Description

Technical Field

[0001] The present application relates to the field of air conditioners, and particularly to an energy-saving prediction method, device, electronic control box and air conditioner for an air conditioner. Background Art

[0002] Generally, the power consumption of an air conditioner varies under different operating conditions. In the related art, the power consumption of the air conditioner can be reduced based on the energy-saving prediction result of the air conditioner. For example, the air supply temperature of the air conditioner is controlled and adjusted according to the current energy-saving prediction result of the air conditioner.

[0003] The existing energy-saving prediction methods for air conditioners mainly include: predicting whether the current air conditioner is energy-saving based on the energy efficiency ratio of the air conditioner at different ambient temperatures or the thermal performance model of the building where the air conditioner is located, or based on training a neural network prediction model with a large amount of historical operation data of the air conditioner. However, the existing energy-saving prediction methods for air conditioners have the problems of poor accuracy and low efficiency. Summary of the Invention

[0004] The main purpose of the present application is to provide an energy-saving prediction method, device, electronic control box and air conditioner for an air conditioner, aiming to solve the technical problems of poor accuracy and low efficiency existing in the existing energy-saving prediction methods for air conditioners.

[0005] To achieve the above object, in a first aspect, the energy-saving prediction method for an air conditioner provided by the present application includes:

[0006] Receiving an identifier of a first comfort level for a target indoor unit of the air conditioner; the air supply temperature range of the indoor unit is different at different comfort levels;

[0007] Predicting a first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level according to a first air supply temperature range corresponding to the identifier of the first comfort level;

[0008] Obtaining a reference power consumption for the air conditioner to control the target indoor unit in a current operating mode; the current operating mode is a heating mode or a cooling mode; the reference power consumption is the power consumption required for the air conditioner to control the target indoor unit to achieve a user-preferred temperature;

[0009] Obtaining a prediction result according to the reference power consumption and the first power consumption; the prediction result is used to indicate whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level.

[0010] The beneficial effects of the present application are as follows: After receiving the identifier of the first comfort level, the first power consumption of the air conditioner to control the target indoor unit to achieve the first comfort level can be predicted according to the first air supply temperature range corresponding to the first comfort level. By the reference power consumption of the air conditioner to control the target indoor unit in the current operating mode and the first power consumption, the power savings of the air conditioner to control the target indoor unit to achieve the first comfort level can be predicted. By the above method, it is not necessary to calculate the energy efficiency ratio of the air conditioner, which improves the accuracy of predicting the power savings of the air conditioner. In addition, this method also does not require building modeling and model training, thereby improving the efficiency of predicting the power savings of the air conditioner.

[0011] Based on the above technical solutions, the present application can be further improved as follows.

[0012] Further, the obtaining of the reference power consumption of the air conditioner to control the target indoor unit in the current operating mode includes:

[0013] Determine a second air supply temperature range according to the historical set air supply temperature of the target indoor unit and the current operating mode of the air conditioner;

[0014] Obtain the reference power consumption of the air conditioner to control the target indoor unit in the current operating mode according to the second air supply temperature range.

[0015] Further, the determining of the second air supply temperature range according to the historical set air supply temperature of the target indoor unit and the current operating mode of the air conditioner includes:

[0016] Obtain the top K set air supply temperatures that are in the current operating mode and have the most set times from the historical set air supply temperatures; K is an integer greater than or equal to 2; the historical set air supply temperature is the set air supply temperature of the target indoor unit in the first N days before the current moment; N is an integer greater than or equal to 1;

[0017] Use the temperature range formed by the K set air supply temperatures as the second air supply temperature range.

[0018] Further, the obtaining of the reference power consumption of the air conditioner to control the target indoor unit in the current operating mode according to the second air supply temperature range includes:

[0019] For each air supply temperature in the second air supply temperature range, obtain the power consumption of the air conditioner to control the target indoor unit to achieve each air supply temperature value from the historical operation data of the air conditioner; the historical operation data includes: the first mapping relationship between the air conditioner controlling each indoor unit to achieve each air supply temperature and the power consumption;

[0020] Based on the average power consumption required to control the target indoor unit to achieve each air supply temperature value under the current operating mode of the air conditioner, obtain the reference power consumption of the air conditioner for controlling the target indoor unit under the current operating mode.

[0021] Further, before receiving the identifier of the first comfort level for the target indoor unit of the air conditioner, the method further includes:

[0022] When controlling the target indoor unit to achieve any air supply temperature, obtain the operating frequency of the compressor of the air conditioner;

[0023] Based on the operating frequency of the compressor, obtain the total power consumption of the air conditioner;

[0024] Based on the operating mode of the air conditioner, determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner;

[0025] Based on the total power consumption of the air conditioner and the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner, obtain the power consumption for the air conditioner to control the target indoor unit to achieve this air supply temperature;

[0026] Based on the power consumption for the air conditioner to control the target indoor unit to achieve each air supply temperature, obtain the historical operation data.

[0027] Further, the determining the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner based on the operating mode of the air conditioner includes:

[0028] If the operating mode is the cooling mode, determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the flow coefficient of the flow valve of the target indoor unit; the ratio is positively correlated with the flow coefficient;

[0029] If the operating mode is the heating mode, determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the product of the first parameter and the second parameter of the heat exchanger of the target indoor unit; the first parameter is the product of the convective heat transfer coefficient and the heat transfer area of the heat exchanger, and the second parameter is the temperature difference between the heat exchanger temperature and the indoor environment temperature where the target indoor unit is located, and the ratio is positively correlated with the product of the first parameter and the second parameter.

[0030] Further, the predicting the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level according to the first air supply temperature range includes:

[0031] For each of the air supply temperatures in the first air supply temperature range, obtain the power consumption of the air conditioner for controlling the target indoor unit to achieve each of the air supply temperature values in the current operating mode from the historical operation data of the air conditioner; the historical operation data includes: a first mapping relationship between each of the air supply temperatures achieved by each indoor unit and the power consumption.

[0032] Take the average value of the power consumption of the air conditioner for controlling the target indoor unit to achieve each of the air supply temperature values in the current operating mode as the first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level.

[0033] Furthermore, the obtaining the prediction result according to the reference power consumption and the first power consumption includes:

[0034] If it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is greater than or equal to zero, then determine that the prediction result is used to characterize: energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level; if it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is less than zero, then determine that the prediction result is used to characterize: not energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level.

[0035] Or,

[0036] If it is determined that the reference power consumption is less than or equal to zero, then obtain the prediction result according to the historical reference power consumption of the air conditioner for controlling the target indoor unit and the first power consumption.

[0037] Furthermore, after obtaining the prediction result according to the reference power consumption and the first power consumption, the method further includes:

[0038] Output the prediction result through the control terminal of the air conditioner.

[0039] In a second aspect, the present application also provides an air conditioner power saving prediction device, and the device includes:

[0040] A receiving module, configured to receive an identifier of the first comfort level for the target indoor unit of the air conditioner; the air supply temperature ranges of the indoor unit are different at different comfort levels.

[0041] A first processing module, configured to predict the first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level according to the first air supply temperature range corresponding to the identifier of the first comfort level.

[0042] An acquisition module, configured to acquire the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode; the current operating mode is a heating mode or a cooling mode; the reference power consumption is the power consumption required for the air conditioner to control the target indoor unit to achieve the user-preferred temperature.

[0043] A second processing module, configured to obtain a prediction result according to the reference power consumption and the first power consumption; the prediction result is used to characterize whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level.

[0044] The beneficial effects of the air conditioner power saving prediction device provided in this application are the same as those of the above-mentioned air conditioner energy saving prediction method, and will not be elaborated here.

[0045] In a third aspect, this application further provides an electric control box, which is configured to execute the air conditioner energy saving prediction method according to any one of the first aspects.

[0046] In a fourth aspect, this application further provides an air conditioner, which includes: the electric control box according to the third aspect.

[0047] In a fifth aspect, this application further provides a computer-readable storage medium, on which computer-executable instructions are stored. When the computer-executable instructions are executed by the electric control box, the method according to any one of the first aspects is implemented.

[0048] In a sixth aspect, this application further provides a computer program product, including a computer program, which implements the method according to any one of the first aspects when executed by the electric control box. Description of the Drawings

[0049] In order to more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on the structures shown in these drawings without creative efforts.

[0050] Figure 1 It is a schematic structural diagram of a multi-connected air conditioner;

[0051] Figure 2 It is a schematic flowchart of an air conditioner energy saving prediction method provided in this application;

[0052] Figure 3 It is a schematic diagram of the interface of a control terminal corresponding to a target indoor unit provided in this application;

[0053] Figure 4Schematic flowchart of a method for obtaining the reference power consumption of a target indoor unit controlled by an air conditioner in the current operating mode provided by this application;

[0054] Figure 5 Schematic flowchart of another air conditioner energy-saving prediction method provided by this application;

[0055] Figure 6 Schematic flowchart of a method for obtaining the power consumption of an air conditioner to control each indoor unit to achieve any air supply temperature provided by this application;

[0056] Figure 7 Schematic structural diagram of an air conditioner power saving prediction device provided by this application. Detailed implementation manners

[0057] First, some terms related to this application are explained below:

[0058] Power consumption: It refers to the power required by an electrical device per unit time. Taking this unit time as one hour, this power consumption can refer to the power consumption of the electrical device per hour.

[0059] The power consumption of an air conditioner is different when it operates under different working conditions. Among them, different working conditions can be different air supply temperatures of the indoor unit of the air conditioner, different operating modes of the air conditioner, etc. This operating mode can be a heating mode or a cooling mode. When the air supply temperature of the indoor unit of the air conditioner is the same but the operating modes are different, the power consumption of the air conditioner can also be different.

[0060] In the related art, the power consumption of an air conditioner can be reduced based on the energy-saving prediction result of the air conditioner. For example, the air supply temperature of the air conditioner can be controlled and adjusted according to the current energy-saving prediction result of the air conditioner. Or, the evaluation personnel can also evaluate the energy-saving effect of the air conditioner according to the energy-saving prediction result of the air conditioner. Therefore, obtaining the power saving prediction result of the air conditioner is crucial.

[0061] The existing air conditioner energy-saving prediction methods mainly include the following three methods:

[0062] 1. Calculate the energy efficiency ratio of the air conditioner according to the current air supply temperature of the air conditioner. Then, calculate the power savings of the air conditioner according to the energy efficiency ratio of the air conditioner.

[0063] However, factors such as the outdoor environmental conditions where the air conditioner is located and the service life of the air conditioner will affect the energy efficiency ratio of the air conditioner, thereby resulting in poor accuracy of calculating the power savings according to the energy efficiency ratio of the air conditioner.

[0064] 2. First, establish a thermal performance model of the building where the air conditioner is located, and then decouple and calculate the thermal performance model to obtain the power savings at the current set temperature of the air conditioner.

[0065] However, this method requires modeling the thermal characteristics model of the building where the air conditioner is located. Therefore, this method is not universal and has low efficiency.

[0066] 3. First, establish a neural network prediction model, and then use the historical operation data of the air conditioner to train the model so that the model can predict the power savings at the current set temperature.

[0067] However, training the neural network prediction model requires a large amount of historical operation data and a large amount of computing resources. Therefore, the efficiency of this method is also low.

[0068] Considering the above problems of poor accuracy and low efficiency in the existing air conditioner energy-saving prediction methods, the present application proposes a method for predicting the current power consumption of an air conditioner according to the supply air temperature of the air conditioner, and obtaining a prediction result of whether the air conditioner is energy-saving according to the current power consumption and the reference power consumption. Through the above method, it is not necessary to calculate the energy efficiency ratio of the air conditioner, which improves the accuracy of the air conditioner energy-saving prediction. In addition, this method does not require building modeling or model training, thereby improving the efficiency of the air conditioner energy-saving prediction.

[0069] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0070] In some implementations, the execution subject of the air conditioner energy-saving prediction method may be the electronic control box of the air conditioner or the air conditioner. In some embodiments, the above-mentioned electronic control box may be disposed in the outdoor unit of the air conditioner. The method executed by the air conditioner described in the following embodiments may be the method executed by the electronic control box of the air conditioner.

[0071] It should be understood that the present application does not limit the type of the air conditioner. Exemplarily, the air conditioner may include at least one indoor unit. Taking the example that the air conditioner includes multiple indoor units, the air conditioner may also be referred to as a multi-connected air conditioner. Exemplarily, Figure 1 is a schematic structural diagram of a multi-connected air conditioner. As Figure 1 shown, the air conditioner may include an outdoor unit and multiple indoor units. The outdoor unit may be connected to each indoor unit to control the air supply of the indoor unit.

[0072] Figure 2 is a schematic flow chart of an air conditioner energy-saving prediction method provided by the present application. As Figure 2 shown, the method may include the following steps:

[0073] S101. Receive the identification of the first comfort level for the target indoor unit of the air conditioner.

[0074] It should be understood that the air supply temperature intervals for the indoor unit at different comfort levels can be different. In some embodiments, the above comfort levels can include, for example, four comfort levels: thermal comfort, warm comfort, moderate comfort, and cool comfort.

[0075] If the air conditioner includes one indoor unit, the above target indoor unit is the indoor unit of the air conditioner. If the air conditioner includes multiple indoor units, the above target indoor unit can be any indoor unit of the air conditioner (for example, Figure 1 any one of the indoor units 1, 2, and 3 shown).

[0076] Optionally, the identification of the first comfort level can be, for example, the name of each comfort level. In some embodiments, the air conditioner can also receive the set temperature input by the user for the target indoor unit, and then determine the identification of the first comfort level according to the air supply temperature interval to which the set temperature belongs.

[0077] It should be understood that this application does not limit how the air conditioner receives the above identification of the first comfort level. For example, the air conditioner can respond to the user's operation on the control panel corresponding to the target indoor unit to obtain the above first comfort level. Or, the identification of the first comfort level can also be received through a voice collection device (such as a microphone), etc.

[0078] S102. Predict the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level according to the first air supply temperature interval corresponding to the identification of the first comfort level.

[0079] Optionally, the air conditioner can, for example, pre-store the mapping relationship between the identification of the comfort level and the air supply temperature interval. The air conditioner can obtain the first air supply temperature interval through the identification of the first comfort level and the mapping relationship between the identification of the comfort level and the air supply temperature interval. Optionally, the mapping relationship between the identification of the comfort level and the air supply temperature interval can be calibrated through offline experiments and pre-stored in the air conditioner. Exemplarily, the mapping relationship can be as shown in Table 1 below:

[0080] Table 1

[0081] Identification of comfort level Supply air temperature range Thermal comfort (26，30] Warm comfort (22，26] Neutral comfort (18.5，22] Cool comfort [17，18.5]

[0082] Exemplarily, taking the mapping relationship shown in Table 1 as an example, assuming that the identification of the first comfort level is moderate comfort, the air conditioner can determine that the first air supply temperature interval is (18.5, 22]. It should be understood that the above Table 1 is only an example, and this application does not limit the division of the comfort level and the division of the air supply temperature interval.

[0083] As a possible implementation, in the air conditioner, for example, the mapping relationship between each air supply temperature range of the target indoor unit and the power consumption may be stored. Then, the air conditioner can predict the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level based on the above-mentioned first air supply temperature range and the mapping relationship between each air supply temperature range and the power consumption.

[0084] S103. Obtain the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode.

[0085] Among them, the current operating mode of the air conditioner can be the heating mode or the cooling mode. The above-mentioned reference power consumption can be the power consumption required for the air conditioner to control the target indoor unit to achieve the user-preferred temperature.

[0086] In some embodiments, the air conditioner may store the mapping relationship between the operating mode of the target indoor unit and the reference power consumption. The air conditioner can obtain the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode based on the current operating mode of the air conditioner and the mapping relationship between the operating mode and the reference power consumption. Alternatively, the air conditioner can first determine the standard air supply temperature range corresponding to the air conditioner in the current operating mode. Then, the air conditioner can determine the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode based on the standard air supply temperature range.

[0087] It should be understood that the present application does not limit how the air conditioner determines the current operating mode. For example, the air conditioner can receive the operating mode of the air conditioner triggered by the user. Alternatively, the air conditioner can also determine the current operating mode based on the current outdoor ambient temperature.

[0088] In addition, it should be understood that the present application does not limit the execution sequence of steps S102 and S103.

[0089] S104. Obtain a prediction result for characterizing whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level based on the reference power consumption and the first power consumption.

[0090] Optionally, for example, the air conditioner may use the difference obtained by subtracting the first power consumption from the reference power consumption as the power consumption saved by the target indoor unit controlled by the air conditioner to achieve the first comfort level relative to the reference power consumption. Optionally, if the difference obtained by subtracting the first power consumption from the reference power consumption is positive, it indicates that the reference power consumption is greater than the first power consumption. Therefore, the air conditioner can determine that the prediction result is used to characterize that the air conditioner is energy-saving when controlling the target indoor unit to achieve the first comfort level relative to the reference power consumption. If the difference obtained by subtracting the first power consumption from the reference power consumption is negative, it indicates that the reference power consumption is less than the first power consumption. Therefore, the air conditioner can determine that the prediction result is used to characterize that the air conditioner is not energy-saving when controlling the target indoor unit to achieve the first comfort level relative to the reference power consumption.

[0091] In this embodiment, after receiving the identifier of the first comfort level, the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level can be predicted according to the first air supply temperature range corresponding to the first comfort level. By using the reference power consumption of the air conditioner to control the target indoor unit in the current operating mode and the first power consumption, a prediction result can be obtained to characterize whether the air conditioner is energy-saving when controlling the target indoor unit to achieve the first comfort level. Through the above method, it is not necessary to calculate the energy efficiency ratio of the air conditioner, which improves the accuracy of the energy-saving prediction of the air conditioner. In addition, this method does not require building modeling or model training, thereby improving the efficiency of the energy-saving prediction of the air conditioner. In addition, since the above reference power consumption refers to the power consumption required for the air conditioner to control the target indoor unit to achieve the user's preferred temperature, through the above method, it is possible to predict whether the air conditioner can save energy when achieving the first comfort level compared to the user's preferred temperature, which improves the flexibility of the energy-saving prediction. In addition, since the energy-saving prediction is determined according to the user's personal preferred temperature, the energy-saving prediction result is determined on the premise of ensuring the user's personal comfort, which improves the user experience while ensuring that the air conditioner can save energy.

[0092] As a possible implementation, after the air conditioner obtains the above prediction result based on the reference power consumption and the first power consumption, it can also output the prediction result through the control terminal of the air conditioner.

[0093] Exemplarily, the above control terminal may be, for example, the control panel of the target indoor unit. In this example, Figure 3 This is a schematic diagram of the interface of the control terminal corresponding to a target indoor unit provided by the present application. As Figure 3 shown, the control terminal may display controls for four comfort levels: thermal comfort, warm comfort, moderate comfort, and cool comfort. The air conditioner can receive the identifier of the first comfort level input by the user through the control terminal, then execute the energy-saving prediction method provided by the present application, and after obtaining the above prediction result, display the above power savings through the control terminal. Exemplarily, as Figure 3The energy-saving prediction results shown, for example, can be: the comfort level is an energy-saving comfort level, or, the comfort level is not energy-saving, etc.

[0094] It should be understood that Figure 3 This is only an example of the air conditioner control terminal provided by the present application, and the present application does not limit whether the control terminal further includes other components. Optionally, the control terminal may further include physical buttons such as air volume adjustment.

[0095] Furthermore, in some embodiments, the air conditioner can also display, through the control terminal, a prompt message for prompting the user whether to continue using the first comfort level, so that the user can refer to the displayed prediction results to decide whether to continue using the first comfort level. Exemplarily, as Figure 3 shown, the prompt message may, for example, include the prompt content of "whether to continue using this comfort level", and controls of "yes" and "no". After the user determines whether to continue using the comfort level of the temperature comfort based on the prediction results, the user can trigger a control instruction by clicking the "yes" or "no" control. Optionally, if the user clicks the "yes" control, the air conditioner can control the target indoor unit to achieve the first comfort level. If the user clicks the "no" control, the air conditioner can return to execute step S101 to receive the first comfort level. Or, the air conditioner can also display recommended information through the control terminal. The recommended information may include: at least one comfort level that can achieve energy saving in the current operating mode.

[0096] In this embodiment, by outputting the above prediction results, the user can decide whether to continue using the first comfort level according to the prediction results, realizing assisting the user in making a decision, improving the flexibility of the air conditioner to balance comfort and energy consumption, and improving the user experience.

[0097] Next, a detailed description will be given on how the air conditioner obtains the reference power consumption of the control target indoor unit in the current operating mode of the air conditioner:

[0098] Figure 4 This is a schematic flowchart of a method for obtaining the reference power consumption of the control target indoor unit by the air conditioner provided by the present application. As Figure 4 shown, as a possible implementation manner, the above step S103 may include the following steps:

[0099] S201. Determine a second air supply temperature range according to the historical set air supply temperature of the target indoor unit and the current operating mode of the air conditioner.

[0100] Among them, the above-mentioned historical set supply air temperature can be the set temperature recorded by the air conditioner for the target indoor unit and stored in the air conditioner. Alternatively, the air conditioner can also store the historical set supply air temperature of each indoor unit in the cloud platform. That is to say, the air conditioner can obtain the historical set supply air temperature of the target indoor unit from the cloud platform.

[0101] Optionally, the air conditioner can obtain the top K set supply air temperatures that are in the current operating mode and have the most set times from the historical set supply air temperatures, and use the temperature range formed by the K set supply air temperatures as the second supply air temperature interval. Among them, K can be an integer greater than or equal to 2. The historical set supply air temperature can be the set supply air temperature of the target indoor unit in the previous N days of the current moment. Among them, N is an integer greater than or equal to 1. For example, N can be between 20 and 30.

[0102] Exemplarily, taking the current operating mode as the cooling mode and the above-mentioned K equal to 4 as an example, assuming that the top K set supply air temperatures that are in the cooling mode and have the most set times are obtained from the historical set supply air temperatures as: 28, 27, 25, 26, then the temperature range formed by these 4 set supply air temperatures is [25, 28]. Therefore, the air conditioner can determine the second supply air temperature interval as [25, 28].

[0103] By using the temperature range formed by the top K set supply air temperatures with the most set times as the second supply air temperature interval, it makes the second supply air temperature interval more in line with the user's usage habits, enables the air conditioner to balance comfort and energy saving, and improves the user experience.

[0104] In some embodiments, the air conditioner can also, for example, obtain the top K set supply air temperatures that are in the current operating mode and have the longest operating duration from the above-mentioned historical set supply air temperatures, and use the temperature range formed by the K set supply air temperatures as the second supply air temperature interval.

[0105] S202. Obtain the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode according to the second supply air temperature interval.

[0106] In some embodiments, for each supply air temperature in the second supply air temperature interval, the air conditioner can obtain the power consumption of the air conditioner for controlling the target indoor unit to achieve each supply air temperature value in the current operating mode from the historical operating data of the air conditioner. Then, the air conditioner can obtain the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode according to the power consumption of the air conditioner for controlling the target indoor unit to achieve each supply air temperature value in the current operating mode.

[0107] Among them, the above historical operation data may include: a first mapping relationship between the air conditioner controlling each indoor unit to achieve each air supply temperature and the power consumption. Exemplarily, the air conditioner may record the air supply temperature each time it controls the indoor unit to work, and calculate the power consumption of the indoor unit at this air supply temperature, so as to obtain and store the first mapping relationship. It should be understood that this application does not limit how the air conditioner calculates the power consumption of each indoor unit at each temperature. Optionally, the historical operation data may be stored in the air conditioner or in the cloud platform.

[0108] Exemplarily, the first mapping relationship may be as shown in Table 2 below:

[0109] Table 2

[0110] Temperature Power consumption Temperature 1 Power consumption 1 Temperature 2 Power consumption 2 Temperature 3 Power consumption 3 … …

[0111] Taking the first mapping relationship shown in Table 2 as an example, assuming that the air supply temperatures in the second air supply temperature range are temperature 1, temperature 2, and temperature 3 respectively, the air conditioner can determine that the power consumption for the air conditioner to control the target indoor unit to achieve temperature 1 in the current operation mode is power consumption 1, the power consumption to achieve temperature 2 is power consumption 2, and the power consumption to achieve temperature 3 is power consumption 3 according to the first mapping relationship.

[0112] Optionally, the air conditioner may, for example, obtain the reference power consumption of the air conditioner to control the target indoor unit in the current operation mode according to the average value of the power consumption required for the air conditioner to control the target indoor unit to achieve each air supply temperature value in the current operation mode. For example, the air conditioner may use the average value of the above power consumption 1, power consumption 2, and power consumption 3 as the reference power consumption of the air conditioner to control the target indoor unit in the current operation mode.

[0113] In this implementation manner, the second air supply temperature range can be determined through the historical set air supply temperature and the current operation mode, and the second air supply temperature range is used to obtain the reference energy consumption of the target indoor unit. Through the above method, the reference energy consumption is obtained through the historical set air supply temperature. By considering factors such as climate change, air conditioner service life, and dirt blockage based on the historical set air supply temperature. The historical set air supply temperatures are different in different time periods, so the reference power consumption is also dynamic, which further improves the accuracy of predicting the power saving amount based on the reference power consumption.

[0114] As a second possible implementation manner, the air conditioner may also determine a target air supply temperature according to the historical set air supply temperature of the target indoor unit and the current operation mode of the air conditioner. Then, the air conditioner may obtain the reference power consumption of the air conditioner to control the target indoor unit in the current operation mode according to the target air supply temperature.

[0115] In this implementation manner, for example, the air conditioner can obtain the set air supply temperature that is in the current operating mode and has the most set times from the historical set air supply temperatures, and use it as the target air supply temperature. Then, the air conditioner can, according to the above first mapping relationship and the target air supply temperature, use the power consumption corresponding to the target air supply temperature as the reference power consumption for the air conditioner to control the target indoor unit in the current operating mode.

[0116] The following will detail how the air conditioner predicts the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level according to the first air supply temperature range:

[0117] As a possible implementation manner, for each air supply temperature in the first air supply temperature range, the air conditioner can obtain from the historical operation data of the air conditioner the power consumption of the air conditioner to control the target indoor unit to achieve each air supply temperature value in the current operating mode. As mentioned above, the historical operation data may include: the first mapping relationship between each air supply temperature achieved by each indoor unit and the power consumption. Then, the air conditioner can use the average value of the power consumption of the air conditioner to control the target indoor unit to achieve each air supply temperature value in the current operating mode as the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level.

[0118] Exemplarily, still using the mapping relationship shown in Table 2 above, assuming that the air supply temperatures in the first air supply temperature range are temperature 1 and temperature 2 respectively, then the power consumptions of the air conditioner to control the target indoor unit to achieve each air supply temperature value in the current operating mode are power consumption 1 and power consumption 2 respectively. Then, the air conditioner can use the average value of power consumption 1 and power consumption 2 as the above first power consumption.

[0119] Alternatively, in some embodiments, the air conditioner, for example, can also use the mode of the power consumption of the air conditioner to control the target indoor unit to achieve each air supply temperature value in the current operating mode as the above first power consumption.

[0120] The following will detail how the air conditioner obtains the above historical operation data:

[0121] As a possible implementation manner, before receiving the identifier of the first comfort level for the target indoor unit of the air conditioner, the air conditioner can also obtain the operating frequency of the compressor of the air conditioner when controlling the target indoor unit to achieve any air supply temperature. Then, the air conditioner can obtain the total power consumption of the air conditioner according to the operating frequency of the compressor.

[0122] It should be understood that this application does not limit how to obtain the operating frequency of the compressor. Optionally, any existing implementation manner for obtaining the operating frequency of the air conditioner compressor can be referred to, and details are not described herein again.

[0123] It should be understood that the present application does not limit the implementation manner of the air conditioner to obtain the total power consumption of the air conditioner according to the operating frequency of the compressor. For example, the air conditioner can first determine the refrigerant flow rate discharged by the compressor according to the operating frequency of the compressor and the compressor flow curve corresponding to the model of the compressor. Then, the air conditioner can obtain the total power consumption of the compressor by multiplying the refrigerant flow rate discharged by the compressor by the enthalpy difference of the indoor unit heat exchanger. The air conditioner can use the total power consumption of the compressor as the total power consumption of the air conditioner.

[0124] In some embodiments, taking the example that the air conditioner is equipped with a meter for detecting the power consumption of the air conditioner, the air conditioner can directly obtain the total power consumption of the air conditioner recorded by the meter. Then, the air conditioner can obtain the total power consumption of the air conditioner according to the average total power consumption of the air conditioner per unit time.

[0125] After obtaining the total power consumption of the air conditioner, the air conditioner can determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the operating mode of the air conditioner. Optionally, the air conditioner can determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner in different ways in different operating modes.

[0126] For example, if the operating mode is the cooling mode, optionally, the air conditioner can determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the flow coefficient (Cv value) of the flow valve of the target indoor unit. Among them, the ratio is positively correlated with the above flow coefficient. That is to say, the larger the Cv value of the flow valve of the target indoor unit, the larger the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner. The smaller the Cv value of the flow valve of the target indoor unit, the smaller the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner.

[0127] If the operating mode is the heating mode, optionally, the air conditioner can determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the product of the first parameter and the second parameter of the heat exchanger of the target indoor unit.

[0128] Among them, the first parameter can be the product of the convective heat transfer coefficient and the heat transfer area of the heat exchanger (in some embodiments, the product of the convective heat transfer coefficient and the heat transfer area of the heat exchanger can also be called the Ka value of the target indoor unit). The second parameter can be the temperature difference between the temperature of the heat exchanger and the indoor environment temperature where the target indoor unit is located. In this implementation manner, the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner described above can be positively correlated with the "product of the first parameter and the second parameter".

[0129] After determining the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner, the air conditioner can obtain the power consumption for the air conditioner to control the target indoor unit to achieve the air supply temperature based on the total power consumption of the air conditioner described above and the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner.

[0130] For example, assuming that the total power consumption of the air conditioner is power consumption W and the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner is k, the air conditioner can use the product of the power consumption W and k as the power consumption for the air conditioner to control the target indoor unit to achieve the air supply temperature.

[0131] Through the above method, the air conditioner can obtain the power consumption for the target indoor unit to achieve each air supply temperature. Then, the air conditioner can obtain the above historical operation data based on the power consumption for the air conditioner to control the target indoor unit to achieve each air supply temperature. Optionally, after the air conditioner obtains the power consumption for the target indoor unit to achieve each air supply temperature, it can establish the above first mapping relationship and add the first mapping relationship to the historical operation data. It should be understood that this application does not limit whether the historical operation data also includes other data related to the operation of the air conditioner (such as air supply wind speed, etc.).

[0132] The following details how the air conditioner obtains the above prediction result based on the reference power consumption and the first power consumption:

[0133] As a possible implementation, the air conditioner can obtain the power saving amount based on the judgment result of whether the reference power consumption is greater than zero and the above first power consumption.

[0134] Optionally, if the air conditioner determines that the reference power consumption is greater than zero, it means that the reference power consumption conforms to the actual situation. Then, when the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is greater than or equal to zero, the air conditioner determines that the prediction result is used to represent: energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level. If it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is less than zero, the air conditioner can determine that the prediction result is used to represent: not energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level.

[0135] If the air conditioner determines that the reference power consumption is less than or equal to zero, since power consumption represents the power consumption of electrical equipment per unit time and the power consumption cannot be negative, and as long as the air conditioner is working, the power consumption cannot be zero either. Therefore, if the reference power consumption is less than or equal to zero, it means that the reference power consumption does not conform to the actual situation. It should be understood that this application does not limit the reason for the reference power consumption not conforming to the actual situation. Optionally, when the air conditioner determines that the reference power consumption is less than or equal to zero, it can obtain the above prediction result based on the historical reference power consumption of the air conditioner to control the target indoor unit and the first power consumption.

[0136] Optionally, the historical reference power consumption may be, for example, the reference power consumption determined by the air conditioner when the power saving prediction algorithm was last executed. Optionally, the air conditioner may store the reference power consumption obtained each time when executing the power saving prediction algorithm provided in this application.

[0137] In this embodiment, by determining whether the reference power consumption is greater than zero, the reference power consumption is used to obtain the above prediction result only when the reference power consumption is greater than zero, and when the reference power consumption is less than or equal to zero, the historical reference power consumption is used to obtain the above prediction result, ensuring that the reference power consumption for obtaining the above prediction result conforms to the actual situation, thus improving the accuracy of determining the prediction result.

[0138] Taking the comfort levels of the air conditioner including four comfort levels of thermal comfort, warm comfort, moderate comfort, and cool comfort as an example, Figure 5 is a schematic flowchart of another air conditioner energy saving prediction method provided in this application. As Figure 5 shown, the method may include the following steps:

[0139] Step 1: Each time the air conditioner controls each indoor unit to achieve any air supply temperature, record the air supply temperature and power consumption of the indoor units of the air conditioner as historical operation data and historical set air supply temperature.

[0140] Figure 6 is a schematic flowchart of a method for obtaining the power consumption of an air conditioner to control each indoor unit to achieve any air supply temperature provided in this application. As Figure 6 shown, for any air supply temperature, the air conditioner may calculate the flow rate (here the flow rate refers to the refrigerant discharge flow rate of the compressor) according to the compressor frequency (that is, the operating frequency of the compressor) at this air supply temperature and the compressor flow curve method.

[0141] Then, the air conditioner may subtract each bypass loss from the refrigerant discharge flow rate of the compressor to obtain the total flow rate flowing through the heat exchangers of the indoor units (each indoor unit). Then, the air conditioner may obtain the total capacity on the indoor unit side (that is, the power consumption of the air conditioner) according to the product of the total flow rate (abbreviated as Gr) and the enthalpy difference of the indoor unit heat exchanger.

[0142] As Figure 6 shown, if the air conditioner is in the cooling mode, the total capacity on the indoor unit side may be distributed to the capacities of each indoor unit according to the Cv value of each indoor unit valve (that is, the flow valve of the indoor unit). That is, the ratio of the power consumption of the indoor unit to the total power consumption of the air conditioner (that is, the ratio of the indoor unit capacity to the total capacity shown in Figure 6 ) may be determined according to the Cv value of the flow valve of the indoor unit. Then, the air conditioner may distribute the energy consumption (the concepts of energy consumption and power consumption involved in this application are the same) according to the ratio of the indoor unit capacity to the total capacity to obtain the power consumption of the air conditioner to control each indoor unit to achieve any air supply temperature.

[0143] If the air conditioner is in the heating mode, the indoor unit capacity (the ratio of the power consumption of the indoor unit to the total power consumption of the air conditioner) can be calculated based on the current Ka value of the indoor unit, the temperature difference between the heat exchanger and the indoor environment (temperature difference) value (which can be the product of the Ka value and the temperature difference). The air conditioner can distribute the energy consumption according to the ratio of the indoor unit capacity to the total capacity, and obtain the power consumption for the air conditioner to control each indoor unit to achieve any air supply temperature.

[0144] Through the above method, the energy consumption of each indoor unit in the historical operation data is mainly calculated by calculating the total power consumption and the real-time power consumption of each indoor unit according to the real-time operation frequency of the compressor and the compressor flow curve method. Then, according to the ratio of the power consumption of each indoor unit to the total power consumption at different times, the total power consumption of the entire system is distributed to each indoor unit, and further, the power consumption for the air conditioner to control each indoor unit to achieve any air supply temperature is obtained.

[0145] Step 2: The user selects the comfort level that needs to be set currently through the air conditioner control terminal, and determines whether the current air conditioner is in the cooling or heating mode according to the current outdoor environmental temperature.

[0146] Through this method, the temperature range under different comfort levels can be directly delimited according to the climate conditions, giving the user fuzzy control.

[0147] Step 3: According to the first temperature range corresponding to the comfort level selected by the user and the current set working mode, determine the average hourly energy consumption e belonging to the first temperature range from the historical operation data, as the first power consumption for the air conditioner to control the indoor unit to achieve the first comfort level.

[0148] In some embodiments, it is also possible to determine whether the first power consumption is less than or equal to zero. If the first power consumption is less than or equal to zero, the first power consumption determined when the air conditioner last executed the power saving prediction algorithm can be used as the prediction result of the first power consumption this time. If the first power consumption is greater than zero, the average energy consumption e is used as the first power consumption for the air conditioner to control the target indoor unit to achieve the first comfort level.

[0149] Step 4: According to the preset data comfort temperature recommendation method, statistically calculate the cooling comfort temperature range [t1, t2] or the heating comfort temperature range [t3, t4] (that is, the aforementioned second air supply temperature range) of the current air conditioner indoor unit.

[0150] Among them, the above-mentioned preset data comfort temperature recommendation method can be the specific implementation manner of determining the second air supply temperature range according to the historical set air supply temperature of the target indoor unit and the current operation mode of the air conditioner as described in the foregoing embodiments, and will not be elaborated here.

[0151] Step 5: Take the average hourly energy consumption obtained from the data where the set temperature is greater than or equal to t1 and less than or equal to t1 under the cooling condition (cooling mode) as the reference cooling energy consumption cold_e. Alternatively, take the average hourly energy consumption obtained from the data where the set temperature is greater than or equal to t3 and less than or equal to t4 under the heating condition (heating mode) as the reference heating energy consumption hot_e.

[0152] Step 6: Determine whether the currently obtained reference cooling energy consumption or reference heating energy consumption is greater than zero. If not, take the reference cooling energy consumption or reference heating energy consumption of the last run of this algorithm.

[0153] Step 7: Subtract the first power consumption of the first comfort level from the above-mentioned reference cooling energy consumption or reference heating energy consumption to obtain the predicted result for the air conditioner control target indoor unit to achieve the first comfort level, and display this predicted result on the air conditioner control terminal for the user to make a decision.

[0154] In this embodiment, without adding additional costs, by using the average energy consumption (reference energy consumption) corresponding to the most comfortable temperature in the historical operation data of the air conditioner and the average energy consumption (first power consumption) corresponding to the comfort level selected by the current user, the predicted result of whether it is energy-saving at the current comfort level can be obtained, which can assist the user in making a decision, enabling the user to balance the relationship between comfort and energy consumption, giving the choice to the user, and improving the user experience. The above-mentioned reference energy consumption is obtained by recommending based on the comfort temperature recommendation algorithm from the operation data of the current air conditioner in the past N days. Due to reasons such as climate change, the recommended comfort temperatures in different time periods are different, so the reference energy consumption is also dynamic, which can provide a more accurate value for calculating the power saving amount and also consider the comfort requirements more in the user's decision-making. Using the historical operation data of the current air conditioner and the energy consumption corresponding to its various set temperatures reflects the influence of factors such as the service life and dirt blockage of the current air conditioner on the air conditioner energy consumption, making the predicted result of whether it is energy-saving more in line with the habits of current air conditioner users. Using four comfort levels, namely thermal comfort, warm comfort, moderate comfort, and cool comfort, gives the user a more intuitive feeling than temperature. At the same time, for a comfort level corresponding to multiple temperature values, fuzzy control enables the air conditioner to operate as energy-saving as possible while meeting the user's comfort.

[0155] Figure 7 It is a schematic structural diagram of an air conditioner power saving prediction device provided by this application. As Figure 7 shown, the device may include: a receiving module 31, a first processing module 32, an obtaining module 33, and a second processing module 34. Among them,

[0156] The receiving module 31 is used to receive the identifier of the first comfort level for the target indoor unit of the air conditioner. Among them, the air supply temperature intervals of the indoor unit are different at different comfort levels.

[0157] The first processing module 32 is configured to predict a first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level according to a first air supply temperature range corresponding to an identifier of the first comfort level.

[0158] The acquisition module 33 is configured to acquire a reference power consumption of the air conditioner for controlling the target indoor unit in a current operation mode. Wherein, the current operation mode is a heating mode or a cooling mode. The reference power consumption is the power consumption required for the air conditioner to control the target indoor unit to achieve a user-preferred temperature.

[0159] The second processing module 34 is configured to obtain a prediction result according to the reference power consumption and the first power consumption. The prediction result is used to characterize whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level.

[0160] Optionally, the acquisition module 33 is specifically configured to determine a second air supply temperature range according to a historical set air supply temperature of the target indoor unit and the current operation mode of the air conditioner; and acquire the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode according to the second air supply temperature range.

[0161] Optionally, the acquisition module 33 is specifically configured to acquire the top K set air supply temperatures that are in the current operation mode and have the most set times from the historical set air supply temperatures; and use a temperature range formed by the K set air supply temperatures as the second air supply temperature range. Wherein, K is an integer greater than or equal to 2; the historical set air supply temperature is the set air supply temperature of the target indoor unit in the previous N days of the current moment; and N is an integer greater than or equal to 1.

[0162] Optionally, the acquisition module 33 is specifically configured to, for each air supply temperature in the second air supply temperature range, acquire a power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature value from historical operation data of the air conditioner; and acquire the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode according to an average value of the power consumption required for the air conditioner to control the target indoor unit to achieve each air supply temperature value. The historical operation data includes a first mapping relationship between the air conditioner controlling each indoor unit to achieve each air supply temperature and the power consumption.

[0163] Optionally, the obtaining module 33 is further configured to obtain the operating frequency of the compressor of the air conditioner when controlling the target indoor unit to achieve any air supply temperature before receiving the identifier of the first comfort level of the target indoor unit of the air conditioner; obtain the total power consumption of the air conditioner according to the operating frequency of the compressor; determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the operating mode of the air conditioner; obtain the power consumption of the air conditioner for controlling the target indoor unit to achieve this air supply temperature according to the total power consumption of the air conditioner and the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner; and obtain the historical operation data according to the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature.

[0164] Optionally, the obtaining module 33 is specifically configured to determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the flow coefficient of the flow valve of the target indoor unit when the operating mode is the cooling mode. Wherein, the ratio is positively correlated with the flow coefficient. When the operating mode is the heating mode, determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the product of the first parameter and the second parameter of the heat exchanger of the target indoor unit. Wherein, the first parameter is the product of the convective heat transfer coefficient and the heat transfer area of the heat exchanger, and the second parameter is the temperature difference between the heat exchanger temperature and the indoor environment temperature where the target indoor unit is located, and the ratio is positively correlated with the product of the first parameter and the second parameter.

[0165] Optionally, the first processing module 32 is specifically configured to, for each air supply temperature in the first air supply temperature range, obtain, from the historical operation data of the air conditioner, the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature value in the current operating mode; and use the average value of the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature value in the current operating mode as the first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level. Wherein, the historical operation data includes: the first mapping relationship between the air supply temperatures achieved by each indoor unit and the power consumption.

[0166] Optionally, the second processing module 34 is specifically configured to determine that the prediction result is used to represent: energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level when it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is greater than or equal to zero; and determine that the prediction result is used to represent: not energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level when it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is less than zero. Alternatively, when it is determined that the reference power consumption is less than or equal to zero, the prediction result is obtained according to the historical reference power consumption of the air conditioner controlling the target indoor unit and the first power consumption.

[0167] Optionally, the device may further include an output module 35, configured to output the prediction result through a control terminal of the air conditioner after predicting the power saving amount of the air conditioner controlling the target indoor unit to achieve the first comfort level according to the reference power consumption and the first power consumption.

[0168] The air conditioner power saving prediction device provided in this application is used to execute the foregoing embodiments of the air conditioner energy saving prediction method, and its implementation principle and technical effects are similar, and will not be elaborated here.

[0169] This application also provides an electronic control box. The electronic control box can be used to execute the air conditioner energy saving prediction method provided in any of the foregoing embodiments, and its technical effects are similar to those of the foregoing air conditioner energy saving prediction method, and will not be elaborated here.

[0170] It should be understood that this application does not limit the structure of the foregoing electronic control box. Exemplarily, the electronic control box may include, for example: at least one processor and other components.

[0171] This application also provides an air conditioner, which may include the foregoing electronic control box. The technical effects of the air conditioner are similar to those of the foregoing air conditioner energy saving prediction method, and will not be elaborated here.

[0172] It should be understood that this application does not limit whether the foregoing air conditioner further includes other components. In addition, it should be understood that this application does not limit the application scenario of the air conditioner.

[0173] This application also provides a computer-readable storage medium, which may include: various media that can store program codes such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical discs. Specifically, the computer-readable storage medium stores program instructions for the methods in the foregoing embodiments.

[0174] The present application also provides a program product, which includes execution instructions stored in a readable storage medium. The electronic control box of the air conditioner can read the execution instructions from the readable storage medium, and the execution of the execution instructions by the electronic control box enables the air conditioner to implement the air conditioner energy-saving prediction method provided by the above various embodiments.

[0175] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present application.

Claims

1. An energy-saving prediction method for an air conditioner, characterized in that, The method includes: Receiving an identifier of a first comfort level for a target indoor unit of the air conditioner; the air supply temperature ranges for the indoor unit are different at different comfort levels; Predicting a first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level according to a first air supply temperature range corresponding to the identifier of the first comfort level; Obtaining a reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode; the current operating mode is a heating mode or a cooling mode; the reference power consumption is the power consumption required for the air conditioner to control the target indoor unit to achieve a user-preferred temperature; Obtaining a prediction result according to the reference power consumption and the first power consumption; the prediction result is used to characterize whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level.

2. The method according to claim 1, wherein The obtaining the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode includes: Determining a second air supply temperature range according to the historical set air supply temperature of the target indoor unit and the current operating mode of the air conditioner; Obtaining the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode according to the second air supply temperature range.

3. The method according to claim 2, wherein The determining the second air supply temperature range according to the historical set air supply temperature of the target indoor unit and the current operating mode of the air conditioner includes: Obtaining the top K set air supply temperatures that are in the current operating mode and have the most set times from the historical set air supply temperatures; K is an integer greater than or equal to 2; the historical set air supply temperatures are the set air supply temperatures of the target indoor unit in the previous N days of the current moment; N is an integer greater than or equal to 1; Taking the temperature range formed by the K set air supply temperatures as the second air supply temperature range.

4. The method according to claim 2, wherein The obtaining the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode according to the second air supply temperature range includes: For each air supply temperature in the second air supply temperature range, obtaining from the historical operation data of the air conditioner the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature value in the current operating mode; the historical operation data includes a first mapping relationship between the air conditioner controlling each indoor unit to achieve each air supply temperature and the power consumption; Obtaining the reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode according to the average value of the power consumption required for the air conditioner to control the target indoor unit to achieve each air supply temperature value in the current operating mode.

5. The method according to claim 4, characterized in that Before receiving the identifier of the first comfort level for the target indoor unit of the air conditioner, the method further includes: When controlling the target indoor unit to achieve any air supply temperature, obtaining the operating frequency of the compressor of the air conditioner; Obtaining the total power consumption of the air conditioner according to the operating frequency of the compressor; Determining a ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the operating mode of the air conditioner; Based on the total power consumption of the air conditioner and the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner, obtain the power consumption of the air conditioner for controlling the target indoor unit to achieve the air supply temperature. Based on the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature, obtain the historical operation data.

6. The method according to claim 5, characterized in that The determining the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the operation mode of the air conditioner includes: If the operation mode is the cooling mode, determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the flow coefficient of the flow valve of the target indoor unit; the ratio is positively correlated with the flow coefficient. If the operation mode is the heating mode, determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to the product of the first parameter and the second parameter of the heat exchanger of the target indoor unit; the first parameter is the product of the convective heat transfer coefficient and the heat transfer area of the heat exchanger, and the second parameter is the temperature difference between the heat exchanger temperature and the indoor environment temperature where the target indoor unit is located, and the ratio is positively correlated with the product of the first parameter and the second parameter.

7. The method according to any one of claims 1-6, characterized in that, The predicting the first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level according to the first air supply temperature range corresponding to the identifier of the first comfort level includes: For each air supply temperature in the first air supply temperature range, obtain from the historical operation data of the air conditioner the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature value in the current operation mode; the historical operation data includes the first mapping relationship between the air supply temperatures achieved by each indoor unit and the power consumption. Take the average value of the power consumption of the air conditioner for controlling the target indoor unit to achieve each air supply temperature value in the current operation mode as the first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level.

8. The method according to any one of claims 1-6, characterized in that The obtaining the prediction result according to the reference power consumption and the first power consumption includes: If it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is greater than or equal to zero, then determine that the prediction result is used to represent: energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level; if it is determined that the reference power consumption is greater than zero and the difference between the reference power consumption and the first power consumption is less than zero, then determine that the prediction result is used to represent: not energy saving when the air conditioner controls the target indoor unit to achieve the first comfort level. Or, If it is determined that the reference power consumption is less than or equal to zero, then obtain the prediction result according to the historical reference power consumption of the air conditioner for controlling the target indoor unit and the first power consumption.

9. The method according to any one of claims 1 to 6, characterized in that, After obtaining the prediction result according to the reference power consumption and the first power consumption, the method further includes: Output the prediction result through the control terminal of the air conditioner.

10. An air conditioner power saving prediction device, characterized in that, The device includes: A receiving module, configured to receive the identifier of the first comfort level of the target indoor unit of the air conditioner; the air supply temperature ranges of the indoor unit are different at different comfort levels. The first processing module is configured to predict a first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level according to a first air supply temperature range corresponding to the identifier of the first comfort level. The acquisition module is configured to acquire a reference power consumption of the air conditioner for controlling the target indoor unit in the current operating mode; the current operating mode is a heating mode or a cooling mode; the reference power consumption is the power consumption required for the air conditioner to control the target indoor unit to achieve a user-preferred temperature. The second processing module is configured to obtain a prediction result according to the reference power consumption and the first power consumption; the prediction result is used to characterize whether energy is saved when the air conditioner controls the target indoor unit to achieve the first comfort level.

11. An electric control box, characterized in that, The electric control box is configured to execute the air conditioner energy-saving prediction method according to any one of claims 1-9.

12. An air conditioner, characterized in that, The air conditioner includes: the electric control box according to claim 11.

13. A computer-readable storage medium, characterized in that, A computer executable instruction is stored on the computer-readable storage medium, and when the computer executable instruction is executed by the electric control box, the method according to any one of claims 1-9 is implemented.

14. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the electric control box, the method according to any one of claims 1-9 is implemented.

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