CN115371212A

CN115371212A - Air conditioner energy-saving prediction method and device, electric control box and air conditioner

Info

Publication number: CN115371212A
Application number: CN202211039624.5A
Authority: CN
Inventors: 姬学欢; 李斌; 郑春元; 丁云霄; 李斯琪
Original assignee: Midea Group Co Ltd; GD Midea Heating and Ventilating Equipment Co Ltd
Current assignee: Midea Group Co Ltd; GD Midea Heating and Ventilating Equipment Co Ltd
Priority date: 2022-08-29
Filing date: 2022-08-29
Publication date: 2022-11-22

Abstract

The application discloses an air conditioner energy-saving prediction method and device, an electric control box and an air conditioner, relates to the field of air conditioners and is used for solving the technical problems of poor accuracy and low efficiency of the air conditioner energy-saving prediction method. The method comprises the following steps: receiving an identification of a first comfort level for a target indoor unit; predicting first power consumption of the control target indoor unit for realizing the first comfort level according to the first air supply temperature interval corresponding to the identification of the first comfort level; acquiring reference power consumption of a control target indoor unit in a current operation mode; the reference power consumption is the power consumption required by the air conditioner control target indoor unit to realize the user preferred temperature; obtaining a prediction result according to the reference power consumption and the first power consumption; the prediction result is used for representing whether energy is saved or not when the air conditioner control target indoor unit achieves the first comfort level. The air conditioner energy-saving prediction method and device, the electric control box and the air conditioner are used for improving the accuracy and efficiency of the air conditioner energy-saving prediction method.

Description

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

Technical Field

The application relates to the field of air conditioners, in particular to an air conditioner energy-saving prediction method and device, an electric control box and an air conditioner.

Background

Generally, air conditioners operate with different power consumptions under different operating conditions. In the related art, power consumption of the air conditioner may be reduced based on an 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.

The existing air conditioner energy-saving prediction method mainly comprises the following steps: and predicting whether the air conditioner is energy-saving currently or not based on modes such as an energy efficiency ratio of the air conditioner at different ambient temperatures or a thermal characteristic model of a building where the air conditioner is located, or a neural network prediction model trained based on a large amount of historical operating data of the air conditioner. However, the existing air conditioner energy-saving prediction method has the problems of poor accuracy and low efficiency.

Disclosure of Invention

The application mainly aims to provide an air conditioner energy-saving prediction method, an air conditioner energy-saving prediction device, an electric control box and an air conditioner, and aims to solve the technical problems of poor accuracy and low efficiency of the existing air conditioner energy-saving prediction method.

In order to achieve the above object, in a first aspect, the present application provides an energy saving prediction method for an air conditioner, including:

receiving an identification of a first comfort level for a target indoor unit of the air conditioner; the indoor units have different air supply temperature intervals at different comfort levels;

predicting first power consumption of the air conditioner for controlling the target indoor unit to realize the first comfort level according to a first air supply temperature interval corresponding to the identification of the first comfort level;

acquiring the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode; the current operation mode is a heating mode or a cooling mode; the reference power consumption is the power consumption required by the air conditioner to control the target indoor unit to realize the user preferred temperature;

obtaining a prediction result according to the reference power consumption and the first power consumption; and the prediction result is used for representing whether energy is saved or not when the air conditioner controls the target indoor unit to realize the first comfort level.

The beneficial effect of this application is: after receiving the identifier of the first comfort level, the air conditioner may predict, according to a first supply air temperature interval corresponding to the first comfort level, a first power consumption of the target indoor unit controlled by the air conditioner to achieve the first comfort level. The reference power consumption of the target indoor unit is controlled by the air conditioner in the current operation mode, and the first power consumption can predict that the air conditioner controls the target indoor unit to realize the power saving amount of the first comfort level. By the method, the energy efficiency ratio of the air conditioner does not need to be calculated, and the accuracy of predicting the electricity saving amount of the air conditioner is improved. In addition, the method does not need to model the building and train the model, thereby improving the efficiency of predicting the electricity saving amount of the air conditioner.

On the basis of the technical scheme, the method can be further improved as follows.

Further, the obtaining of the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode includes:

setting air supply temperature according to the history of the target indoor unit, and determining a second air supply temperature interval according to the current operation mode of the air conditioner;

and acquiring 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 interval.

Further, the setting of the air supply temperature according to the history of the target indoor unit and the determination of the second air supply temperature interval according to the current operation mode of the air conditioner comprise:

acquiring the first K set air supply temperatures which are in the current operation mode and have the maximum 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 previous N days of the current moment; n is an integer greater than or equal to 1;

and taking the temperature range formed by the K set air supply temperatures as the second air supply temperature interval.

Further, the obtaining of 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 interval includes:

for each air supply temperature in the second air supply temperature interval, acquiring power consumption of the air conditioner for controlling the target indoor unit to realize each air supply temperature value in the current operation mode from historical operation data of the air conditioner; the historical operating data includes: the air conditioner controls each indoor unit to realize a first mapping relation between each air supply temperature and power consumption;

and acquiring the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode according to the average value of the power consumption required by the target indoor unit to realize each air supply temperature value in the current operation mode of the air conditioner.

Further, prior to the receiving the identification of the first comfort level for the target indoor unit of the air conditioner, the method further comprises:

when the target indoor unit is controlled to realize any air supply temperature, the running frequency of a compressor of the air conditioner is obtained;

acquiring the total power consumption of the air conditioner according to the running frequency of the compressor;

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;

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, obtaining the power consumption of the air conditioner for controlling the target indoor unit to realize the air supply temperature;

and controlling the target indoor unit to realize the power consumption of each air supply temperature according to the air conditioner to obtain the historical operation data.

Further, the determining a 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 a refrigeration mode, determining 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 a flow valve of the target indoor unit; the ratio is positively correlated with the flow coefficient;

if the operation mode is a heating mode, determining 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 a first parameter and a second parameter of a 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, the second parameter is the temperature difference between the temperature of the heat exchanger and the indoor environment temperature of the target indoor unit, and the ratio is positively correlated with the product of the first parameter and the second parameter.

Further, the predicting, according to the first supply air temperature interval, first power consumption of the air conditioner for controlling the target indoor unit to achieve the first comfort level includes:

for each air supply temperature in the first air supply temperature interval, acquiring power consumption of the air conditioner for controlling the target indoor unit to realize each air supply temperature value in the current operation mode from historical operation data of the air conditioner; the historical operating data includes: a first mapping relation between each air supply temperature and power consumption realized by each indoor unit;

and taking the average value of the power consumption of the target indoor unit controlled by the air conditioner to realize the air supply temperature values in the current operation mode as the first power consumption of the air conditioner for controlling the target indoor unit to realize the first comfort level.

Further, the obtaining a prediction result according to the reference power consumption and the first power consumption includes:

if the reference power consumption is determined to be larger than zero, and the difference between the reference power consumption and the first power consumption is larger than or equal to zero, determining that the prediction result is used for representing: saving energy when the air conditioner controls the target indoor unit to achieve the first comfort level; if the reference power consumption is determined to be larger than zero, and the difference between the reference power consumption and the first power consumption is smaller than zero, determining that the prediction result is used for representing: when the air conditioner controls the target indoor unit to achieve the first comfort level, energy is not saved;

alternatively, the first and second liquid crystal display panels may be,

and if the reference power consumption is determined to be less than or equal to zero, acquiring the prediction result according to the historical reference power consumption of the target indoor unit controlled by the air conditioner and the first power consumption.

Further, after obtaining the prediction result according to the reference power consumption and the first power consumption, the method further includes:

and outputting the prediction result through a control terminal of the air conditioner.

In a second aspect, the present application further provides an air conditioner power saving amount prediction apparatus, including:

a receiving module for receiving an identification of a first comfort level for a target indoor unit of the air conditioner; the indoor units have different air supply temperature intervals at different comfort levels;

the first processing module is used for predicting first power consumption of the air conditioner for controlling the target indoor unit to realize the first comfort level according to a first air supply temperature interval corresponding to the identifier of the first comfort level;

the acquisition module is used for acquiring the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode; the current operation mode is a heating mode or a cooling mode; the reference power consumption is the power consumption required by the air conditioner to control the target indoor unit to realize the user preferred temperature;

the second processing module is used for acquiring a prediction result according to the reference power consumption and the first power consumption; and the prediction result is used for representing whether energy is saved or not when the air conditioner controls the target indoor unit to realize the first comfort level.

The beneficial effects of the air conditioner electricity-saving quantity prediction device provided by the application are the same as those of the air conditioner energy-saving quantity prediction method, and are not repeated here.

In a third aspect, the present application further provides an electronic control box, configured to execute the air conditioner energy saving prediction method according to any one of the first aspect.

In a fourth aspect, the present application further provides an air conditioner, comprising: an electrical control box according to the third aspect.

In a fifth aspect, the present application further provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by an electronic control box, implement the method of any one of the first aspects.

In a sixth aspect, the present application also provides a computer program product comprising a computer program which, when executed by an electronic control box, implements the method of any one of the first aspects.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.

Fig. 1 is a schematic structural view of a multi-split air conditioner;

fig. 2 is a schematic flow chart of an energy saving prediction method for an air conditioner according to the present application;

fig. 3 is a schematic interface diagram of a control terminal corresponding to a target indoor unit according to the present application;

fig. 4 is a schematic flowchart of a method for obtaining a reference power consumption of a target indoor unit of an air conditioner in a current operation mode according to the present application;

FIG. 5 is a schematic flow chart illustrating another method for predicting energy conservation of an air conditioner according to the present application;

fig. 6 is a schematic flow chart of a method for obtaining power consumption of an air conditioner for controlling each indoor unit to realize any air supply temperature according to the present application;

fig. 7 is a schematic structural diagram of an air conditioner power saving amount prediction apparatus provided in the present application.

Detailed Description

The following first explains some terms related to the present application:

power consumption: refers to the power required by the electrical equipment in a unit time. Taking the unit time as an hour as an example, the power consumption may refer to power consumption of the electrical appliance per hour.

The air conditioner has different power consumption when operating under different working conditions. Wherein, different working conditions can be different air supply temperatures of the indoor unit of the air conditioner, different operation modes of the air conditioner and the like. The operating mode may be a heating mode or a cooling mode. When the air supply temperature of the indoor unit of the air conditioner is the same and the operation modes are different, the power consumption of the air conditioner can also be different.

In the related art, power consumption of the air conditioner may be reduced based on an 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. Or, the evaluator can evaluate the energy-saving effect of the air conditioner according to the energy-saving prediction result of the air conditioner. Therefore, it is crucial to obtain the power saving prediction result of the air conditioner.

The existing air conditioner energy-saving prediction method mainly comprises the following three methods:

1. and calculating the energy efficiency ratio of the air conditioner according to the current air supply temperature of the air conditioner. Then, the energy saving amount of the air conditioner is calculated according to the energy efficiency ratio of the air conditioner.

However, factors such as the outdoor environment condition where the air conditioner is located, the service life of the air conditioner, and the like all affect the energy efficiency ratio of the air conditioner, and therefore the accuracy of calculating the electricity saving amount according to the energy efficiency ratio of the air conditioner is poor.

2. Firstly, a thermal characteristic model of a building where the air conditioner is located is established, and then the thermal characteristic model is decoupled and calculated to obtain the electricity saving amount of the current set temperature of the air conditioner.

However, the method needs to model the thermal characteristic model of the building where the air conditioner is located, and therefore, the method is not universal and is low in efficiency.

3. Firstly, a neural network prediction model is established, and then the model is trained by using historical operating data of the air conditioner, so that the model can predict the electricity saving amount at the current set temperature.

However, training the neural network prediction model requires a large amount of historical operating data and more computing resources, and thus the method is also inefficient.

In consideration of the problems of poor accuracy and low efficiency of the existing air conditioner energy-saving prediction method, the method for predicting the current power consumption of the air conditioner according to the air supply temperature of the air conditioner and obtaining the prediction result of whether the air conditioner is energy-saving or not according to the current power consumption and the reference power consumption is provided. By the method, the energy efficiency ratio of the air conditioner does not need to be calculated, and the accuracy of the energy-saving prediction of the air conditioner is improved. In addition, the method does not need to model the building or train the model, thereby improving the efficiency of predicting the energy conservation of the air conditioner.

The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In some implementations, the main execution body of the air conditioner energy saving prediction method may be an electronic control box of the air conditioner, and may also be the air conditioner. In some embodiments, the electrical control box may be disposed in an outdoor unit of an air conditioner. The method performed by the air conditioner in the embodiments described below may be performed by an electronic control box of the air conditioner.

It should be understood that the present application is not limited to the type of air conditioner. For example, the air conditioner may include at least one indoor unit. Taking the air conditioner including a plurality of indoor units as an example, the air conditioner may also be referred to as a multi-split air conditioner. Fig. 1 is a schematic view illustrating a multi-split air conditioner, by way of example. As shown in fig. 1, the air conditioner may include an outdoor unit and a plurality of indoor units. The outdoor unit can be connected with each indoor unit to control the air supply of the indoor units.

Fig. 2 is a schematic flow chart of an energy saving prediction method for an air conditioner according to the present application. As shown in fig. 2, the method may include the steps of:

s101, receiving an identification of a first comfort level of a target indoor unit of an air conditioner.

It should be understood that the supply air temperature intervals for the indoor unit at different comfort levels may be different. In some embodiments, the comfort levels may include, for example, four comfort levels of thermal comfort, warm comfort, cool comfort, and the like.

If the air conditioner comprises an indoor unit, the target indoor unit is the indoor unit of the air conditioner. If the air conditioner includes a plurality of indoor units, the target indoor unit may be any indoor unit of the air conditioner (for example, any indoor unit of the indoor units 1, 2, and 3 shown in fig. 1).

Alternatively, the identifier of the first comfort level may be, for example, a name of each comfort level. In some embodiments, the air conditioner may further receive a set temperature input by a user for the target indoor unit, and then determine the identifier of the first comfort level according to the supply air temperature interval to which the set temperature belongs.

It should be understood that the present application does not limit how the air conditioner receives the above-mentioned indication of the first comfort level. For example, the air conditioner may obtain the first comfort level in response to a user operating a control panel corresponding to the target indoor unit. Alternatively, the identification of the first comfort level input by the user may also be received by a voice capture device (e.g., a microphone) or the like.

S102, predicting first power consumption of the air conditioner control target indoor unit for realizing the first comfort level according to the first air supply temperature interval corresponding to the first comfort level identification.

Alternatively, the air conditioner may store a mapping relationship between the identifier of the comfort level and the air supply temperature interval in advance. The air conditioner can acquire a first air supply temperature interval through the identifier of the first comfort level and the mapping relation between the identifier of the comfort level and the air supply temperature interval. Alternatively, the mapping relationship between the comfort level identifier and the supply air temperature interval may be calibrated through offline experiments and stored in the air conditioner in advance, for example. For example, the mapping relationship may be as shown in table 1 below:

TABLE 1

Identification of comfort level	Temperature interval of air supply
		Thermal comfort	(26，30]
Warm and comfortable	(22，26]
		Warm and comfortable	(18.5，22]
Cool and comfortable	[17，18.5]

For example, taking the mapping relationship shown in table 1 as an example, assuming that the first comfort level is identified as warm and comfortable, the air conditioner may determine the first supply air temperature interval as (18.5, 22).

As a possible implementation manner, the air conditioner may store a mapping relationship between each air supply temperature section of the target indoor unit and power consumption. Then, the air conditioner may predict that the air conditioner controls the target indoor unit to achieve the first power consumption of the first comfort level through the first supply air temperature interval and the mapping relationship between each supply air temperature interval and the power consumption.

And S103, acquiring the reference power consumption of the control target indoor unit of the air conditioner in the current operation mode.

The current operation mode of the air conditioner may be a heating mode or a cooling mode. The reference power consumption may be power consumption required for the air conditioner to control the target indoor unit to achieve the user's preferred temperature.

In some embodiments, the air conditioner may store a mapping relationship between the operation mode of the target indoor unit and the reference power consumption. The air conditioner can obtain the reference power consumption of the target indoor unit controlled by the air conditioner in the current operation mode according to the current operation mode of the air conditioner and the mapping relation between the operation mode and the reference power consumption. Or, the air conditioner may also determine a standard air supply temperature interval corresponding to the air conditioner in the current operation mode. Then, the air conditioner may determine a reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode according to the standard supply air temperature interval.

It should be understood that the present application is not limited to how the air conditioner determines the current operation mode. For example, the air conditioner may receive a user-triggered mode of operation of the air conditioner. Alternatively, the air conditioner may also determine the current operating mode based on the current outdoor ambient temperature.

In addition, it should be understood that the sequence of executing step S102 and step S103 is not limited in this application.

And S104, acquiring a prediction result for representing whether the air conditioner controls the target indoor unit to realize the first comfort level or not according to the reference power consumption and the first power consumption.

Optionally, the air conditioner may, for example, use a difference obtained by subtracting the first power consumption from the reference power consumption as the power consumption saved by the air conditioner control target indoor unit for achieving the first comfort level relative to the reference power consumption. Optionally, if a difference obtained by subtracting the first power consumption from the reference power consumption is positive, it is determined that the reference power consumption is greater than the first power consumption, and therefore, the air conditioner may determine that the prediction result is used to represent that the air conditioner controls the target indoor unit to achieve the first comfort level, and the energy is saved with respect 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 smaller than the first power consumption, and therefore the air conditioner is not energy-saving relative to the reference power consumption when the predicted result is used for representing that the air conditioner controls the target indoor unit to achieve the first comfort level.

In this embodiment, after receiving the identifier of the first comfort level, it may be predicted that the air conditioner controls the target indoor unit to achieve the first power consumption of the first comfort level according to the first air supply temperature interval corresponding to the first comfort level. The reference power consumption of the target indoor unit is controlled by the air conditioner in the current operation mode, and the first power consumption can be used for obtaining a prediction result for representing whether the energy is saved or not when the air conditioner controls the target indoor unit to achieve the first comfort level. By the method, the energy efficiency ratio of the air conditioner does not need to be calculated, and the accuracy of the energy-saving prediction of the air conditioner is improved. In addition, the method does not need to model the building and train the model, thereby improving the efficiency of predicting the energy conservation of the air conditioner. In addition, because the reference power consumption refers to the power consumption required by the air conditioner to control the target indoor unit to achieve the user preferred temperature, the method can predict whether the air conditioner achieves the first comfort level, and can save energy compared with the user preferred temperature, so that the flexibility of energy saving prediction is improved. In addition, because the energy-saving prediction is determined according to the personal preference temperature of the user, the energy-saving prediction result is determined on the premise of ensuring the personal comfort of the user, and the user experience is improved while the energy of the air conditioner is ensured.

As a possible implementation manner, after the air conditioner obtains the prediction result according to the reference power consumption and the first power consumption, the air conditioner may further output the prediction result through a control terminal of the air conditioner.

For example, the control terminal may be a control panel of the target indoor unit. In this example, fig. 3 is an interface schematic diagram of a control terminal corresponding to a target indoor unit provided in the present application. As shown in fig. 3, the control terminal may display controls with four comfort levels, such as hot comfort, warm comfort, cool comfort, and the like. The air conditioner can receive the identification of the first comfort level input by the user through the control terminal, then execute the energy-saving prediction method provided by the application, and display the energy-saving amount through the control terminal after obtaining the prediction result. For example, the energy saving prediction result shown in fig. 3 may be, for example: the comfort level is an energy-saving comfort level, or the comfort level is not energy-saving, etc.

It should be understood that fig. 3 is only one example of the air conditioner control terminal provided in the present application, and the present application is not limited to whether the control terminal further includes other components. Optionally, the control terminal may further include an entity key such as an air volume adjustment key, for example.

Further, in some embodiments, the air conditioner may further display a prompt for prompting the user whether to continue using the first comfort level through the control terminal, so that the user may make a decision whether to continue using the first comfort level with reference to the displayed prediction result. Illustratively, as shown in FIG. 3, the hint information may include, for example, a hint of "whether to continue using the comfort level" and controls of "Yes" and "No". The user may trigger a control instruction by clicking a yes or no control after determining whether to continue using the warm comfort level based on the prediction result. Optionally, if the user clicks the "yes" control, the air conditioner may control the target indoor unit to achieve the first comfort level. If the user clicks the "no" control, the air conditioner may return to perform step S101 to receive the first comfort level. Or the air conditioner can also display recommendation information through the control terminal. The recommendation information may include: at least one comfort level of energy saving can be achieved in the current mode of operation.

In the embodiment, the user can decide whether to continue to use the first comfort level according to the prediction result by outputting the prediction result, so that the decision is assisted for the user, the balance comfort and the energy consumption flexibility of the air conditioner are improved, and the user experience is improved.

How the air conditioner obtains the reference power consumption of the target indoor unit controlled by the air conditioner in the current operation mode is described in detail below:

fig. 4 is a flowchart illustrating a method for obtaining a reference power consumption of a target indoor unit of an air conditioner in a current operation mode according to the present application. As shown in fig. 4, as a possible implementation manner, the step S103 may include the following steps:

s201, air supply temperature is set according to the history of the target indoor unit, and a second air supply temperature interval is determined according to the current operation mode of the air conditioner.

The historical set air supply temperature can be used for recording the set temperature of the target indoor unit for the air conditioner and storing the set temperature in the air conditioner. Or the air conditioner can also store the historical set air supply temperature of each indoor unit in the cloud platform. That is, the air conditioner may obtain the historical set supply air temperature of the target indoor unit from the cloud platform.

Optionally, the air conditioner may obtain, from the historical set air supply temperatures, the first K set air supply temperatures that are in the current operation mode and have been set for the most number of times, and use a temperature range formed by the K set air supply temperatures as the second air supply temperature interval. Wherein K may be an integer greater than or equal to 2. The historical set supply air temperature may be the set supply air temperature of the target indoor unit in the first N days of the current time. Where N is an integer greater than or equal to 1, for example, N may be between 20 and 30.

For example, taking the current operation mode as the cooling mode, and K is equal to 4 as an example, it is assumed that, in the cooling mode obtained from the historical set supply air temperatures, the first K set supply air temperatures with the largest number of times of setting are: 28. 27, 25, 26, the temperature range formed by the 4 set blowing air temperatures is [25, 28], so the air conditioner can determine the second blowing air temperature interval to be [25, 28].

The temperature range formed by the first K set air supply temperatures with the largest set times is used as a second air supply temperature interval, so that the second air supply temperature interval is more in accordance with the use habit of a user, the air conditioner can take comfort and energy conservation into consideration, and user experience is improved.

In some embodiments, the air conditioner may further obtain, for example, the first K set air supply temperatures with the longest operation time in the current operation mode 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 interval.

And S202, acquiring 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 interval.

In some embodiments, for each supply air temperature in the second supply air temperature interval, the air conditioner may obtain, from historical operation data of the air conditioner, power consumption of the air conditioner to control the target indoor unit to achieve each supply air temperature value in the current operation mode. Then, the air conditioner can control the target indoor unit to realize the power consumption of each air supply temperature value according to the current operation mode of the air conditioner, and the reference power consumption of the target indoor unit controlled by the air conditioner in the current operation mode is obtained.

Wherein, the historical operating data may include: the air conditioner controls each indoor unit to achieve a first mapping relation between each air supply temperature and power consumption. For example, the air conditioner may record the air supply temperature each time the indoor unit is controlled to operate, and calculate the power consumption of the indoor unit at the air supply temperature, so as to obtain and store the first mapping relationship. It should be understood that the present application does not limit how the air conditioner calculates the power consumption of each indoor unit at each temperature. Optionally, the historical operating data may be stored in the air conditioner, or may be stored in a cloud platform.

Illustratively, the first mapping relationship may be shown in table 2 below, for example:

TABLE 2

Temperature of	Power consumption
		Temperature 1	Power consumption 1
Temperature 2	Power consumption 2
		Temperature 3	Power consumption 3
…	…

Taking the first mapping relation shown in table 2 as an example, assuming that each air supply temperature in the second air supply temperature interval is respectively temperature 1, temperature 2 and temperature 3, the air conditioner may determine, according to the first mapping relation, that the air conditioner controls the target indoor unit in the current operation mode to achieve power consumption of temperature 1 as power consumption 1, power consumption of temperature 2 as power consumption 2 and power consumption of temperature 3 as power consumption 3.

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

In this implementation, a second supply air temperature interval may be determined by historically setting the supply air temperature and the current operation mode, and the second supply air temperature interval is used to obtain the reference energy consumption of the target indoor unit. By the method, the reference energy consumption is obtained by historically setting the air supply temperature. By setting the air supply temperature based on the history, the influence of factors such as climate change, the service life of the air conditioner, filth blockage and the like on the air conditioner is considered. The historical set air supply temperatures in different time periods are different, so that the reference power consumption is dynamic, and the accuracy of predicting the electricity saving amount based on the reference power consumption is further improved.

As a second possible implementation, the air conditioner may further determine a target supply air temperature according to a historical set supply air temperature of the target indoor unit and a current operation mode of the air conditioner. Then, the air conditioner can obtain the reference power consumption of the target indoor unit controlled by the air conditioner in the current operation mode according to the target air supply temperature.

In this implementation, the air conditioner may obtain, as the target air supply temperature, a set air supply temperature that is in the current operation mode and is set the largest number of times, from among the historical set air supply temperatures. Then, the air conditioner may use power consumption corresponding to the target air supply temperature as reference power consumption for controlling the target indoor unit in the current operation mode of the air conditioner according to the first mapping relation and the target air supply temperature.

The following describes how the air conditioner predicts the first power consumption of the indoor unit of the air conditioner control target to achieve the first comfort level according to the first supply air temperature interval:

as a possible implementation manner, for each air supply temperature in the first air supply temperature interval, the air conditioner may obtain, from historical operation data of the air conditioner, power consumption of the air conditioner in controlling the target indoor unit to implement each air supply temperature value in the current operation mode. As previously mentioned, the historical operating data may include: and the first mapping relation between each air supply temperature and the power consumption realized by each indoor unit. Then, the air conditioner may use an average value of power consumptions of the air supply temperature values achieved by the control target indoor unit of the air conditioner in the current operation mode as a first power consumption for the control target indoor unit of the air conditioner to achieve the first comfort level.

For example, assuming that the supply air temperatures in the first supply air temperature interval are respectively temperature 1 and temperature 2 according to the mapping relationship shown in table 2, the power consumption of the air conditioner for controlling the target indoor unit to realize each supply air temperature value in the current operation mode is respectively power consumption 1 and power consumption 2. Then, the air conditioner may take an average value of the power consumption 1 and the power consumption 2 as the above-described first power consumption.

Alternatively, in some embodiments, the air conditioner may further control, for example, the target indoor unit to achieve a mode of power consumption of each supply air temperature value in the current operation mode, as the first power consumption.

How the air conditioner obtains the historical operation data is explained in detail as follows:

as a possible implementation manner, before the air conditioner receives the identifier of the first comfort level for the target indoor unit of the air conditioner, the air conditioner may further obtain an operating frequency of a compressor of the air conditioner when the target indoor unit is controlled to achieve any air supply temperature. Then, the air conditioner may acquire the total power consumption of the air conditioner according to the operating frequency of the compressor.

It should be understood that the present application is not limited to obtaining the operating frequency of the compressor. Optionally, reference may be made to any existing implementation manner for obtaining the operating frequency of the compressor of the air conditioner, which is not described herein again.

It should be understood that the present application also 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 may determine the flow rate of the refrigerant discharged from the compression molding machine according to the operating frequency of the compressor and a compressor flow rate curve corresponding to the type of the compressor. Then, the air conditioner can obtain the total power consumption of the compressor according to the product of the flow rate of the refrigerant discharged by the compressor and the enthalpy difference of the indoor unit heat exchanger. The air conditioner may take the total power consumption of the compressor as the total power consumption of the air conditioner.

In some embodiments, taking the air conditioner as an example where the air conditioner is installed with an electricity meter for detecting the electricity consumption of the air conditioner, the air conditioner may directly obtain the total electricity consumption of the air conditioner recorded by the electricity 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 in unit time.

After obtaining the total power consumption of the air conditioner, the air conditioner may determine a ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to an operation mode of the air conditioner. Optionally, the air conditioner may determine the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner in different operation modes in different manners.

For example, if the operation mode is the cooling mode, optionally, the air conditioner may determine a ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to a flow coefficient (Cv value) of a flow valve of the target indoor unit. Wherein the ratio is positively correlated with the flow coefficient. That is, the larger the Cv value of the flow valve of the target indoor unit is, the larger the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner is. The smaller the Cv value of the flow valve of the target indoor unit is, the smaller the ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner is.

If the operation mode is the heating mode, optionally, the air conditioner may determine a ratio of the power consumption of the target indoor unit to the total power consumption of the air conditioner according to a product of a first parameter and a second parameter of a heat exchanger of the target indoor unit.

The first parameter may be a product of a convective heat transfer coefficient and a 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 may also be referred to as a Ka value of the target indoor unit). The second parameter may be a temperature difference between the temperature of the heat exchanger and an indoor ambient temperature at which 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 may be positively correlated to the product of the first parameter and the second parameter.

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 may obtain the power consumption of the target indoor unit for controlling the 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.

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 may use the product of the power consumption W and k as the power consumption for the air conditioner control target indoor unit to achieve the supply air temperature.

By the method, the air conditioner can obtain the power consumption of the target indoor unit for realizing each air supply temperature, and then the air conditioner can control the power consumption of the target indoor unit for realizing each air supply temperature according to the air conditioner to obtain the historical operation data. Optionally, after the air conditioner may obtain power consumption of each supply air temperature of the target indoor unit, the first mapping relationship may be established, and the first mapping relationship is added to the historical operating data. It should be understood that the application is not limited to whether other data related to the operation of the air conditioner (such as the supply air speed) is also included in the historical operation data.

How the air conditioner obtains the prediction result according to the reference power consumption and the first power consumption is explained in detail below:

as a possible implementation manner, the air conditioner may obtain the power saving amount according to a judgment result of whether the reference power consumption is greater than zero and the first power consumption.

Optionally, if the air conditioner determines that the reference power consumption is greater than zero, it is determined that the reference power consumption meets the actual condition. And when the reference power consumption of the air conditioner is larger than zero and the difference between the reference power consumption and the first power consumption is larger than or equal to zero, determining a prediction result for representing: energy is saved when the air conditioner control target indoor unit achieves 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 may determine that the predicted result is used for characterizing: energy is not saved when the air conditioner control target indoor unit realizes the first comfort level.

If the air conditioner determines that the reference power consumption is less than or equal to zero, since the power consumption represents the power consumption of the electrical equipment per unit time, the power consumption cannot be negative, and the power consumption cannot be zero as long as the air conditioner is operated, it is indicated that the reference power consumption does not meet the actual situation if the reference power consumption is less than or equal to zero. It should be understood that the present application is not limited to the reason why the baseline power consumption does not meet the actual situation. Optionally, when the air conditioner determines that the reference power consumption is less than or equal to zero, the prediction result may be obtained according to the historical reference power consumption of the air conditioner control target indoor unit and the first power consumption.

Alternatively, the historical reference power consumption may be, for example, reference power consumption determined when the air conditioner performed the power saving amount prediction algorithm last time. Alternatively, the air conditioner may store the reference power consumption acquired each time when the power saving amount prediction algorithm provided by the present application is executed each time.

In the embodiment, whether the reference power consumption is greater than zero is judged, the reference power consumption is used for obtaining the prediction result when the reference power consumption is greater than zero, and the historical reference power consumption is used for obtaining the prediction result when the reference power consumption is less than or equal to zero, so that the reference power consumption for obtaining the prediction result is in line with the actual situation, and the accuracy of determining the prediction result is improved.

Taking four comfort levels of the air conditioner, including thermal comfort, warm comfort, cool comfort, etc., as an example, fig. 5 is a schematic flow chart of another energy saving prediction method for the air conditioner provided by the present application. As shown in fig. 5, the method may include the steps of:

step 1, recording the air supply temperature and the power consumption of the indoor unit of the air conditioner as historical operation data and historical set air supply temperature when the air conditioner controls each indoor unit to realize any air supply temperature each time.

Fig. 6 is a schematic flow chart of a method for obtaining power consumption of an air conditioner for controlling each indoor unit to realize any air supply temperature according to the present application. As shown in fig. 6, for any supply air temperature, the air conditioner can calculate the flow rate (here, the flow rate refers to the flow rate of the refrigerant discharged from the compressor) according to the compressor frequency (i.e., the operating frequency of the compressor) at the supply air temperature and the compressor flow rate curve method.

Then, the air conditioner can subtract each bypass loss from the flow of the refrigerant discharged by the compressor to obtain the total flow passing through the heat exchanger of the indoor unit (each indoor unit). Then, the air conditioner can obtain the total indoor unit side capacity (namely the power consumption of the air conditioner) according to the product of the total flow (Gr for short) and the enthalpy difference of the indoor unit heat exchanger.

As shown in fig. 6, if the air conditioner is in the cooling mode, the total capacity of the indoor unit can be assigned to the capacities of the indoor units according to the Cv values of the indoor units (i.e., the flow valves of the indoor units). That is, the ratio of the power consumption of the indoor unit to the total power consumption of the air conditioner (i.e., the ratio of the capacity of the indoor unit to the total capacity shown in fig. 6) can be determined based on the Cv value of the flow valve of the indoor unit. Then, the air conditioner can distribute energy consumption (the energy consumption and the power consumption involved in the application are the same in terms of concept) according to the ratio of the capacity of the indoor unit to the total capacity, and the power consumption of controlling each indoor unit to realize any air supply temperature by the air conditioner is obtained.

If the air conditioner is in a heating mode, the capacity of the indoor unit (the ratio of the power consumption of the indoor unit to the total power consumption of the air conditioner) can be calculated according to the current Ka value of the indoor unit, the temperature of the heat exchanger and the difference (temperature difference) value of the indoor environment (which can be the product of the Ka value and the temperature difference). The air conditioner can distribute energy consumption according to the ratio of the capacity of the indoor unit to the total capacity, and the obtained power consumption of controlling each indoor unit to realize any air supply temperature by the air conditioner is obtained.

By the method, the energy consumption of each indoor unit in the historical operation data is mainly calculated according to the real-time operation frequency of the compressor and the flow curve of the compressor, the total power consumption of the whole system is distributed to each indoor unit according to the ratio of the power consumption of each indoor unit to the total power consumption at different moments, and the power consumption of the air conditioner for controlling each indoor unit to achieve any air supply temperature is obtained.

And 2, selecting the comfort level required to be set currently by a user through the air conditioner control terminal, and judging whether the current air conditioner is in a cooling or heating mode according to the current outdoor environment temperature.

The method can directly define temperature intervals under different comfort levels according to the climate conditions, and fuzzy control is provided for users.

And 3, determining the average energy consumption e per hour belonging to the first temperature interval from historical operation data according to the first temperature interval corresponding to the comfort level selected by the user and the currently set working mode, and using the average energy consumption e as the first power consumption for controlling the indoor unit to realize the first comfort level of the air conditioner.

In some embodiments, a determination may also be made as to 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 executes the power saving prediction algorithm last time can be used as the prediction result of the first power consumption at this time. And if the first power consumption is larger than zero, using the average energy consumption e as the first power consumption for realizing the first comfort level of the air conditioner control target indoor unit.

And 4, according to a preset data comfortable temperature recommendation method, counting and calculating a refrigerating comfortable temperature interval [ t1, t2] or a heating comfortable temperature interval [ t3, t4] of the current air conditioner internal unit (namely the second air supply temperature interval).

The preset data comfort temperature recommendation method may be a specific implementation manner for determining the second air supply temperature interval according to the history of the target indoor unit and the current operation mode of the air conditioner, which is described with reference to the foregoing embodiment, and is not described herein again.

And 5, taking the average energy consumption per hour, which is obtained by the data with the set temperature being more than or equal to t1 and less than or equal to t1 under the refrigeration working condition (refrigeration mode), as the reference refrigeration energy consumption cold _ e. Or, in the heating working condition (heating mode), the average energy consumption per hour obtained by the data with the temperature being more than or equal to t3 and less than or equal to t4 is set as the reference heating energy consumption hot _ e.

And 6, judging whether the currently acquired reference refrigeration energy consumption or reference heating energy consumption is larger than zero, and if not, acquiring the reference refrigeration energy consumption or reference heating energy consumption of the algorithm operated last time.

And 7, subtracting the first power consumption of the first comfort level from the reference refrigeration energy consumption or the reference heating energy consumption to obtain a prediction result of the air conditioner control target indoor unit for realizing the first comfort level, and displaying the prediction result on the air conditioner control terminal for a user to make a decision.

In this embodiment, under the condition that no additional cost is added, the prediction result of whether energy is saved under the current comfort level is obtained through the energy consumption average value (reference energy consumption) corresponding to the most comfortable temperature in the historical operating data of the air conditioner and the energy consumption average value (first energy consumption) corresponding to the comfort level selected by the current user, so that the decision can be assisted by the user, the relationship between comfort and energy consumption can be balanced by the user, the option is given to the user, and the user experience is improved. The reference energy consumption is obtained by recommending the current air conditioner operation data in the past N days based on a comfortable temperature recommendation algorithm. Due to climate change and other reasons, the recommended comfortable temperatures in different time periods are different, so that the reference energy consumption is dynamic, a more accurate numerical value can be calculated for the electricity saving amount, and the comfort requirement can be considered for the decision of the user. The historical operating data of the current air conditioner and the energy consumption corresponding to each set temperature are used, the influence of factors such as the service life of the current air conditioner and filth blockage on the energy consumption of the air conditioner is reflected, and the prediction result of whether the energy is saved is more in line with the habit of a current air conditioner user. The use is hot comfortable, warm comfortable, cool comfortable etc. four comfortable grades, and the impression that gives the user is more directly perceived than the temperature, and a plurality of temperature values that a comfortable grade corresponds simultaneously, fuzzy control makes the air conditioner operation satisfy under the comfortable circumstances of user energy-conservation as far as possible.

Fig. 7 is a schematic structural diagram of an air conditioner power saving amount prediction apparatus provided in the present application. As shown in fig. 7, the apparatus may include: a receiving module 31, a first processing module 32, an obtaining module 33, and a second processing module 34. Wherein, the first and the second end of the pipe are connected with each other,

a receiving module 31, configured to receive an identification of a first comfort level for a target indoor unit of the air conditioner. The indoor unit has different air supply temperature intervals at different comfort levels.

And the first processing module 32 is configured to predict, according to the first air supply temperature interval corresponding to the identifier of the first comfort level, that the air conditioner controls the target indoor unit to implement the first power consumption of the first comfort level.

And an obtaining module 33, configured to obtain a reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode. Wherein the current operation mode is a heating mode or a cooling mode. And the reference power consumption is the power consumption required by the air conditioner to control the target indoor unit to realize the user preferred temperature.

And the second processing module 34 is configured to obtain a prediction result according to the reference power consumption and the first power consumption. And the prediction result is used for representing whether energy is saved or not when the air conditioner controls the target indoor unit to realize the first comfort level.

Optionally, the obtaining module 33 is specifically configured to set an air supply temperature according to the history of the target indoor unit, and determine a second air supply temperature interval according to the current operation mode of the air conditioner; and acquiring 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 interval.

Optionally, the obtaining module 33 is specifically configured to obtain, from the historical set air supply temperatures, the first K set air supply temperatures that are in the current operation mode and have the largest set number of times; and taking the temperature range formed by the K set air supply temperatures as the second air supply temperature interval. 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.

Optionally, the obtaining module 33 is specifically configured to, for each air supply temperature in the second air supply temperature interval, obtain, from historical operation data of the air conditioner, power consumption of the air conditioner in the current operation mode to control the target indoor unit to implement each air supply temperature value; and acquiring the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode according to the average value of the power consumption required by the target indoor unit to realize each air supply temperature value in the current operation mode of the air conditioner. Wherein the historical operating data comprises: the air conditioner controls each indoor unit to achieve a first mapping relation between each air supply temperature and power consumption.

Optionally, the obtaining module 33 is further configured to, before the receiving the identifier of the first comfort level for the target indoor unit of the air conditioner, obtain an operating frequency of a compressor of the air conditioner when the target indoor unit is controlled to achieve any air supply temperature; acquiring the total power consumption of the air conditioner according to the running frequency of the compressor; 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; 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, obtaining the power consumption of the air conditioner for controlling the target indoor unit to realize the air supply temperature; and controlling the target indoor unit to realize the power consumption of each air supply temperature according to the air conditioner to obtain the historical operation data.

Optionally, the obtaining module 33 is specifically configured to determine, when the operation mode is the cooling mode, a ratio between the power consumption of the target indoor unit and the total power consumption of the air conditioner according to a flow coefficient of a flow valve of the target indoor unit. Wherein the ratio is positively correlated with the flow coefficient. And when the operation mode is a heating mode, determining 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, the second parameter is the temperature difference between the temperature of the heat exchanger and the indoor environment temperature of the target indoor unit, and the ratio is positively correlated with the product of the first parameter and the second parameter.

Optionally, the first processing module 32 is specifically configured to, for each air supply temperature in the first air supply temperature interval, obtain, from historical operation data of the air conditioner, power consumption of the air conditioner in the current operation mode to control the target indoor unit to implement each air supply temperature value; and taking the average value of the power consumption of the target indoor unit controlled by the air conditioner to realize the air supply temperature values in the current operation mode as the first power consumption of the target indoor unit controlled by the air conditioner to realize the first comfort level. Wherein the historical operating data comprises: and the first mapping relation between each air supply temperature and the power consumption realized by each indoor unit.

Optionally, the second processing module 34 is specifically configured to, when it is determined that the reference power consumption is greater than zero, and a difference between the reference power consumption and the first power consumption is greater than or equal to zero, determine that the prediction result is used to characterize: saving energy when the air conditioner controls the target indoor unit to achieve the first comfort level; when the reference power consumption is determined to be larger than zero, and the difference between the reference power consumption and the first power consumption is smaller than zero, determining the prediction result to be used for representing: and when the air conditioner controls the target indoor unit to achieve the first comfort level, energy is not saved. Or when the reference power consumption is determined to be less than or equal to zero, the prediction result is obtained according to the historical reference power consumption of the target indoor unit controlled by the air conditioner and the first power consumption.

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

The air conditioner electricity-saving quantity prediction device is used for executing the air conditioner energy-saving prediction method embodiment, the implementation principle and the technical effect are similar, and the description is omitted.

The application also provides an electronic control box. The electric control box can be used for executing the air conditioner energy-saving prediction method provided by any one of the embodiments, and has the technical effect similar to that of the air conditioner energy-saving prediction method, which is not described herein again.

It should be understood that the present application does not limit the structure of the electronic control box, and for example, the electronic control box may include: at least one processor, and the like.

The application also provides an air conditioner which can comprise the electric control box. The technical effect of the air conditioner is similar to that of the air conditioner energy-saving prediction method, and the description is omitted here.

It should be understood that the present application is not limited to whether the air conditioner further includes other components. In addition, it should be understood that the application scenario of the air conditioner is not limited in the present application.

The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and in particular, the computer-readable storage medium stores program instructions, and the program instructions are used in the method in the foregoing embodiments.

The present application further provides a program product comprising execution instructions stored in a readable storage medium. The electronic control box of the air conditioner can read the execution instruction from the readable storage medium, and the electronic control box executes the execution instruction to enable the air conditioner to implement the air conditioner energy saving prediction method provided by the various embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An energy-saving prediction method for an air conditioner, the method comprising:

predicting that the air conditioner controls the target indoor unit to achieve first power consumption of the first comfort level according to a first air supply temperature interval corresponding to the identification of the first comfort level;

2. The method of claim 1, wherein the obtaining the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode comprises:

3. The method of claim 2, wherein the setting the supply air temperature based on a history of the target indoor unit and the current operating mode of the air conditioner, and determining a second supply air temperature interval comprises:

4. The method of claim 2, wherein the obtaining of the reference power consumption of the air conditioner for controlling the target indoor unit in the current operation mode according to the second supply air temperature interval comprises:

5. The method of claim 4, wherein prior to said receiving an identification of a first comfort level for a target indoor unit of the air conditioner, the method further comprises:

6. The method of claim 5, wherein 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 comprises:

7. The method of any of claims 1-6, wherein predicting a first power consumption of the air conditioner to control the target indoor unit to achieve the first comfort level based on a first supply air temperature interval corresponding to the indication of the first comfort level comprises:

8. The method according to any one of claims 1-6, wherein the obtaining the predicted result according to the baseline power consumption and the first power consumption comprises:

if the reference power consumption is determined to be larger than zero, and the difference between the reference power consumption and the first power consumption is larger than or equal to zero, determining that the prediction result is used for representing: saving energy when the air conditioner controls the target indoor unit to achieve the first comfort level; if the reference power consumption is determined to be larger than zero, and the difference between the reference power consumption and the first power consumption is smaller than zero, determining that the prediction result is used for representing: not saving energy when the air conditioner controls the target indoor unit to achieve the first comfort level;

alternatively, the first and second electrodes may be,

9. The method according to any one of claims 1-6, wherein after obtaining the predicted result according to the baseline power consumption and the first power consumption, the method further comprises:

10. An air conditioner power saving amount prediction apparatus, comprising:

11. An electric control box, characterized in that the electric control box is used for executing 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 comprises: an electrical control box according to claim 11.

13. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by an electronic control box, implement the method of any one of claims 1-9.

14. A computer program product comprising a computer program, characterized in that the computer program realizes the method of any one of claims 1-9 when executed by an electronic control box.