Air conditioner energy-saving control method and system

Abstract

The air conditioner energy-saving control method comprises the following steps that an expected electricity consumption value and electricity consumption duration output by a user are obtained, and electricity consumption power of each hour is obtained according to the expected electricity consumption value and the electricity consumption duration and marked as first power; after the indoor temperature reaches the specified temperature, a first operation parameter of an air conditioner outdoor unit and a second operation parameter of an air conditioner indoor unit are obtained every hour, and the current power of the air conditioner is calculated according to the first operation parameter and the second operation parameter and marked as second power; whether the first power is larger than the second power or not is judged, if yes, the current power of the air conditioner is kept, and if not, the current time is obtained, an adjusting time period is confirmed according to the current time, and outdoor temperature changes in the adjusting time period are obtained according to a pre-configured first information mapping table; wherein the first information mapping table is a time period and temperature change relation mapping table; and adjusting the power of an air conditioner outdoor unit or an air conditioner indoor unit according to the outdoor temperature change.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning regulation, and in particular to an air conditioning energy-saving control method and system. Background Art

[0002] As an electrical appliance, air conditioner's superior cooling and refrigeration functions require a lot of electricity to achieve. Although the emergence of variable frequency air conditioners has reduced the consumption of electricity to a certain extent, the energy-saving effect is limited. Users cannot obtain the total power and electricity consumption of variable frequency air conditioners in real time. They can only achieve energy saving and emission reduction through existing variable frequency technology.

[0003] With the improvement of living standards, people are no longer satisfied with the traditional cooling and heating functions of air conditioners, and have put forward higher requirements for the interactivity of air conditioners, such as statistics on air conditioner operating time and electricity consumption. Therefore, a method that can adjust the air conditioner frequency through user-set parameters is urgently needed. Summary of the invention

[0004] In view of the above-mentioned defects, the object of the present invention is to provide an air conditioner energy-saving control method and system to achieve the interaction between the user input parameters and the air conditioner operation frequency.

[0005] To achieve this purpose, the present invention adopts the following technical solution: an air conditioning energy-saving control method, comprising the following steps:

[0006] Step S1: obtaining the expected power consumption value and power consumption duration output by the user, and obtaining the power consumption of each hour according to the expected power consumption value and the power consumption duration, and marking it as the first power;

[0007] Step S2: after the indoor temperature reaches the specified temperature, obtain the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit every hour, calculate the current power of the air conditioner according to the first operating parameter and the second operating parameter, and mark it as the second power;

[0008] Step S3: Determine whether the first power is greater than the second power. If so, keep the current power of the air conditioner. If so, obtain the current time, confirm the adjustment time period according to the current time, and obtain the outdoor temperature change in the adjustment time period according to the pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between the time period and the temperature change;

[0009] Step S4: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change.

[0010] Preferably, the steps of obtaining the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit in step S2 are as follows:

[0011] The steps of obtaining the first operating parameter are as follows:

[0012] Obtaining the speed of a fan in the current air conditioner outdoor unit, obtaining the energy consumption of the fan according to a preconfigured second information mapping table, and taking the energy consumption of the fan as the first operating parameter, wherein the second information mapping table is a mapping table of the relationship between the fan speed and the energy consumption;

[0013] The steps for obtaining the second operating parameter are as follows:

[0014] The specified temperature and indoor space volume are input into the simulation model to obtain the energy consumption of the compressor, and the energy consumption of the compressor is used as the second operating parameter, wherein the simulation model is a model of the air-conditioning system established by using the principles of thermodynamics and electrical engineering.

[0015] Preferably, before calculating the second power, the following steps need to be performed:

[0016] Obtaining a first temperature in an outdoor unit of the air conditioner, determining whether the first temperature is higher than a first temperature threshold, and if so, using a trained neural network to modify a first operating parameter;

[0017] The formula for correcting the first operating parameter is as follows:

[0018]

[0019] f(X)=max(0,X);

[0020] Where P1 is the first operating parameter after correction, v j is the weight of the jth hidden layer, h j is the output of the jth hidden layer neuron, c is the bias of the output layer, f(X) is the activation function, ω 1j is the weight of the first temperature in the jth hidden layer, ω 2j is the weight of the first operating parameter in the jth hidden layer, x i is the input of the input layer, x1 is the first temperature, x2 is the first operating parameter, b j is the bias of the hidden layer neurons.

[0021] Preferably, the formula for calculating the second power in step S2 is as follows:

[0022] P = α1*P1+α2*P2+α3*C;

[0023] Among them, α1, α2 and α3 are proportional coefficients respectively, P1 is the first operating parameter, P2 is the second operating parameter, and C is other conventional energy consumption.

[0024] Preferably, the specific steps of step S4 are as follows:

[0025] Obtain the difference between the outdoor temperature and the specified temperature as the first temperature difference, determine whether the first temperature difference is less than the second temperature threshold, if not, maintain the current power of the air conditioner, if less, obtain the required refrigerant flow of the air conditioner indoor unit through the first temperature difference;

[0026] adjusting the motor speed of the compressor according to the flow rate of the refrigerant;

[0027] The fan of the air conditioner outdoor unit is adjusted based on the motor speed of the adjusted compressor.

[0028] Preferably, the acquisition of the refrigerant flow rate is disclosed as follows:

[0029] W1(ΔT)=Kp1*ΔT+Ki1*Sum(T error )+Kd1*Delta(T error );

[0030] Where Kp1, Ki1, Kd1 are the gains of the first PID controller, ΔT is the first temperature difference, Sum(T error ) is the accumulation of temperature differences after all historical temperature adjustments, Delta (T error ) is the temperature difference existing after the last temperature adjustment;

[0031] The specific formula for adjusting the motor speed of the compressor is as follows:

[0032]

[0033] Where W1(ΔT) is the flow rate of the refrigerant, Kp2, Ki2, Kd2 are the gains of the second PID controller, t2 is the adjustment time, Sum(e error ) is the accumulation of error values ​​of the motor speed of the compressor when the temperature has not reached the adaptation temperature ± the second temperature threshold in the past;

[0034] The specific steps for adjusting the fan of the air conditioner outdoor unit based on the motor speed of the adjusted compressor are as follows:

[0035] Based on a preconfigured third information mapping table, the rotation speed of the fan of the air conditioner outdoor unit is obtained, wherein the third information mapping table is a mapping table of heat dissipation requirements of the compressor under different refrigerant flow rates.

[0036] An air-conditioning energy-saving control system, using the air-conditioning energy-saving control method, comprises an acquisition module, a calculation module, a judgment module and an adjustment module;

[0037] The acquisition module is used to acquire the expected power consumption value and power consumption duration output by the user, and acquire the power consumption of each hour according to the expected power consumption value and the power consumption duration, and mark it as the first power;

[0038] The calculation module is used to obtain the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit every hour after the indoor temperature reaches the specified temperature, and calculate the current power of the air conditioner according to the first operating parameter and the second operating parameter, which is marked as the second power;

[0039] The judgment module is used to judge whether the first power is greater than the second power. If so, the current power of the air conditioner is maintained. If so, the current time is obtained, the adjustment time period is confirmed according to the current time, and the outdoor temperature change in the adjustment time period is obtained according to the pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between the time period and the temperature change;

[0040] The regulating module is used to regulate the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the change of the outdoor temperature.

[0041] Preferably, the calculation module includes a first calculation submodule and a second calculation submodule;

[0042] The first calculation submodule obtains the speed of the fan in the current air conditioner outdoor unit, obtains the energy consumption of the fan according to a preconfigured second information mapping table, and uses the energy consumption of the fan as the first operating parameter, wherein the second information mapping table is a mapping table of the relationship between the fan speed and the energy consumption;

[0043] The second calculation submodule is used to input the specified temperature and indoor space volume into the simulation model, obtain the energy consumption of the compressor, and use the energy consumption of the compressor as the second operating parameter, wherein the simulation model uses the principles of thermodynamics and electrical engineering to establish a model of the air-conditioning system.

[0044] Preferably, it also includes a correction module;

[0045] The correction module is used to obtain a first temperature in the air conditioner outdoor unit, determine whether the first temperature is higher than a first temperature threshold, and if so, use a trained neural network to correct the first operating parameter.

[0046] One of the above technical solutions has the following advantages or beneficial effects: the present invention adjusts the frequency of the air conditioner according to the parameters input by the user and the indoor and outdoor temperatures, so that the energy consumption of the air conditioner can approach the user's expected power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of an embodiment of the method of the present invention.

[0048] Figure 2 It is a schematic diagram of the structure of an embodiment of the system of the present invention. DETAILED DESCRIPTION

[0049] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0050] In the description of the embodiments of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0051] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, the meaning of "plurality" is two or more. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0052] like Figures 1-2 As shown, an air conditioning energy-saving control method comprises the following steps:

[0053] Step S1: obtaining the expected power consumption value and power consumption duration output by the user, and obtaining the power consumption of each hour according to the expected power consumption value and the power consumption duration, and marking it as the first power;

[0054] Step S2: after the indoor temperature reaches the specified temperature, obtain the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit every hour, calculate the current power of the air conditioner according to the first operating parameter and the second operating parameter, and mark it as the second power;

[0055] Step S3: Determine whether the first power is greater than the second power. If so, keep the current power of the air conditioner. If so, obtain the current time, confirm the adjustment time period according to the current time, and obtain the outdoor temperature change in the adjustment time period according to the pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between the time period and the temperature change;

[0056] Step S4: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change.

[0057] In order to adjust the air conditioning frequency according to the parameters set by the user, parameter input is provided in the present invention, wherein the input parameters are the expected power consumption value and the power consumption duration input by the user. For example, the user expects to turn on the air conditioning for 8 hours at night with 4 kWh of electricity and 26°C. At this time, we can obtain the first power by dividing the expected power value by the power consumption duration.

[0058] Since existing air conditioners are basically variable frequency air conditioners, which can change frequency according to the environment, it is impossible to judge whether the constant power in the air conditioner can meet the needs of users. Therefore, in the present invention, every hour is used as a detection unit, and the operating parameters of the indoor and outdoor units of the air conditioner are obtained every hour. The current power of the air conditioner is predicted according to the first operating parameter and the second operating parameter to obtain the second power. When the second power is less than the first power, it means that the electric energy consumed by the air conditioner in this hour is less than the expected value. At this time, the current power of the air conditioner can be maintained for operation. When the first power is less than the second power, it means that the current power of the air conditioner is high, and the power of the air conditioner needs to be reduced to meet the power needs of the user. However, in the basic logic, it is necessary to keep the indoor temperature at a specified temperature, so the frequency cannot be forcibly reduced to meet the power needs of the user. For this reason, in the present invention, the current time is also obtained, and the adjustment time period is confirmed according to the current time. When the time period is known, the outdoor temperature change can be obtained according to the first information mapping table. For example, if the current time is 2:30 and falls into the time period of 2:00-3:00, the temperature change in the time period of 2:00-3:00 is searched according to the first information mapping table, for example, the temperature change is reduced from 28° C. to 26° C. Specifically, the first information mapping table can be obtained according to external meteorological data.

[0059] At this time, since the outside temperature is close to the specified temperature, the power of the air conditioner can be reduced, and the air conditioner can be driven in a sweeping mode to ensure the user's comfort. At this time, the value of the second power is also reduced, so that the second power is close to the first power, and the effect of adjusting the air conditioner frequency by the parameters set by the user is achieved, so that the energy consumption of the air conditioner can be close to the user's expected power consumption.

[0060] It is worth noting that, since the energy consumption of the air conditioner is relatively difficult to calculate through the first operating parameter and the second operating parameter when the air conditioner is turned on in the early stage, the energy consumption when it is finally stabilized at the specified temperature can be used as the energy consumption when the air conditioner is turned on in the early stage.

[0061] Preferably, the steps of obtaining the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit in step S2 are as follows:

[0062] The steps of obtaining the first operating parameter are as follows:

[0063] Obtaining the speed of a fan in the current air conditioner outdoor unit, obtaining the energy consumption of the fan according to a preconfigured second information mapping table, and taking the energy consumption of the fan as the first operating parameter, wherein the second information mapping table is a mapping table of the relationship between the fan speed and the energy consumption;

[0064] Since the fan power in the air conditioner outdoor unit is a relatively stable component, the energy consumption is relatively fixed at a fixed speed. Therefore, a second information mapping table can be constructed in advance according to the fan parameters provided by the manufacturer. After detecting the speed of the fan, the energy consumption of the fan can be found through the second information mapping table, thereby obtaining the first operating parameter. It is worth noting that when there are multiple fans in the air conditioner outdoor unit, the energy consumption of the multiple fans needs to be obtained and then added to obtain the first operating parameter.

[0065] The steps for obtaining the second operating parameter are as follows:

[0066] The specified temperature and indoor space volume are input into the simulation model to obtain the energy consumption of the compressor, and the energy consumption of the compressor is used as the second operating parameter, wherein the simulation model is a model of the air-conditioning system established by using the principles of thermodynamics and electrical engineering.

[0067] Through the content of thermodynamics, we can know how much heat energy is needed to maintain a fixed temperature in a space of fixed size, and through the principle of electricity, we can find out how much energy the compressor needs to consume to adjust the above heat energy at the corresponding power. Therefore, a simulation model can be constructed based on the existing principles of thermodynamics and electricity. When the user inputs the expected power consumption and the duration of power consumption, he also needs to input the size of the room (indoor space volume). By setting the temperature and indoor space volume and inputting them into the simulation model, the energy consumption of the compressor can be immediately obtained.

[0068] Preferably, before calculating the second power, the following steps need to be performed:

[0069] Obtaining a first temperature in an outdoor unit of the air conditioner, determining whether the first temperature is higher than a first temperature threshold, and if so, using a trained neural network to modify a first operating parameter;

[0070] The formula for correcting the first operating parameter is as follows:

[0071]

[0072] f(X)=max(0,X);

[0073] Where P1 is the first operating parameter after correction, v j is the weight of the jth hidden layer, hj is the output of the jth hidden layer neuron, c is the bias of the output layer, f(X) is the activation function, ω 1j is the weight of the first temperature in the jth hidden layer, ω 2j is the weight of the first operating parameter in the jth hidden layer, x i is the input of the input layer, x1 is the first temperature, x2 is the first operating parameter, b j is the bias of the hidden layer neurons.

[0074] Since the air conditioner outdoor unit is a workpiece for heat dissipation, and the second information mapping table is based on the fan parameters given by the manufacturer, the ambient temperature of its operation is lower than the ambient temperature of the air conditioner outdoor unit. A high temperature environment will cause the resistance of the conductor inside the fan to increase, thereby increasing the energy consumption of the fan, resulting in the first operating parameter not being able to effectively reflect the actual energy consumption of the fan. For this reason, in the present invention, the first temperature inside the air conditioner outdoor unit is obtained to determine whether the first temperature is higher than the first temperature threshold, wherein the first temperature threshold can be the temperature when the manufacturer tests the fan parameters. When the first temperature is higher than the first temperature threshold, it means that the current ambient temperature will affect the acquisition of the fan energy consumption, and it needs to be corrected at this time. A neural network is provided in the present invention. After the first temperature is obtained, the first operating parameter is corrected by the neural network so that the first operating parameter conforms to the actual parameter value, so that the second power can be calculated more accurately.

[0075] Preferably, the formula for calculating the second power in step S2 is as follows:

[0076] P = α1*P1+α2*P2+α3*C;

[0077] Among them, α1, α2 and α3 are proportional coefficients respectively, P1 is the first operating parameter, P2 is the second operating parameter, and C is other conventional energy consumption.

[0078] The energy consumption of the air conditioner mainly consists of fixed energy consumption of the compressor, outdoor fan and some equipment. Therefore, the real-time second power can be predicted through corresponding proportional allocation, so as to adjust the air conditioner frequency according to the second power, so as to adjust the air conditioner according to the parameters set by the user.

[0079] Preferably, the specific steps of step S4 are as follows:

[0080] Obtain the difference between the outdoor temperature and the specified temperature as the first temperature difference, determine whether the first temperature difference is less than the second temperature threshold, if not, maintain the current power of the air conditioner, if less, obtain the required refrigerant flow of the air conditioner indoor unit through the first temperature difference;

[0081] adjusting the motor speed of the compressor according to the flow rate of the refrigerant;

[0082] The fan of the air conditioner outdoor unit is adjusted based on the motor speed of the adjusted compressor.

[0083] In the adjustment of step S4, the present invention will obtain the outdoor temperature as the direction of adjusting the air conditioner. When the outdoor temperature is greatly different from the indoor temperature, it is also necessary to maintain the power of the current air conditioner to ensure that the user is in a better experience. When the first temperature difference is less than the second temperature threshold, the outdoor temperature is small compared to the indoor temperature. At this time, the flow rate of the refrigerant can be adjusted by the first temperature difference, thereby realizing the motor frequency conversion of the compressor. Since the required amount of refrigerant changes, the heat dissipation required by the air conditioner outdoor unit will also change. Therefore, the present invention will also re-adjust the fan speed of the air conditioner outdoor unit according to the motor speed of the compressor, and finally achieve the effect of energy saving.

[0084] Preferably, the acquisition of the refrigerant flow rate is disclosed as follows:

[0085] W1(ΔT)=Kp1*ΔT+Ki1*Sum(T error )+Kd1*Delta(T error );

[0086] Where Kp1, Ki1, Kd1 are the gains of the first PID controller, ΔT is the first temperature difference, Sum(T error ) is the accumulation of temperature differences after all historical temperature adjustments, Delta (T error ) is the temperature difference existing after the last temperature adjustment;

[0087] The specific formula for adjusting the motor speed of the compressor is as follows:

[0088]

[0089] Where W1(ΔT) is the flow rate of the refrigerant, Kp2, Ki2, Kd2 are the gains of the second PID controller, t2 is the adjustment time, Sum(e error ) is the accumulation of error values ​​of the motor speed of the compressor when the temperature has not reached the adaptation temperature ± the second temperature threshold in the past;

[0090] The specific steps for adjusting the fan of the air conditioner outdoor unit based on the motor speed of the adjusted compressor are as follows:

[0091] Based on a preconfigured third information mapping table, the rotation speed of the fan of the air conditioner outdoor unit is obtained, wherein the third information mapping table is a mapping table of heat dissipation requirements of the compressor under different refrigerant flow rates.

[0092] An air-conditioning energy-saving control system, using the air-conditioning energy-saving control method, comprises an acquisition module, a calculation module, a judgment module and an adjustment module;

[0093] The acquisition module is used to acquire the expected power consumption value and power consumption duration output by the user, and acquire the power consumption of each hour according to the expected power consumption value and the power consumption duration, and mark it as the first power;

[0094] The calculation module is used to obtain the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit every hour after the indoor temperature reaches the specified temperature, and calculate the current power of the air conditioner according to the first operating parameter and the second operating parameter, which is marked as the second power;

[0095] The judgment module is used to judge whether the first power is greater than the second power. If so, the current power of the air conditioner is maintained. If so, the current time is obtained, the adjustment time period is confirmed according to the current time, and the outdoor temperature change in the adjustment time period is obtained according to the pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between the time period and the temperature change;

[0096] The regulating module is used to regulate the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the change of the outdoor temperature.

[0097] Preferably, the calculation module includes a first calculation submodule and a second calculation submodule;

[0098] The first calculation submodule obtains the speed of the fan in the current air conditioner outdoor unit, obtains the energy consumption of the fan according to a preconfigured second information mapping table, and uses the energy consumption of the fan as the first operating parameter, wherein the second information mapping table is a mapping table of the relationship between the fan speed and the energy consumption;

[0099] The second calculation submodule is used to input the specified temperature and indoor space volume into the simulation model, obtain the energy consumption of the compressor, and use the energy consumption of the compressor as the second operating parameter, wherein the simulation model uses the principles of thermodynamics and electrical engineering to establish a model of the air-conditioning system.

[0100] Preferably, it also includes a correction module;

[0101] The correction module is used to obtain a first temperature in the air conditioner outdoor unit, determine whether the first temperature is higher than a first temperature threshold, and if so, use a trained neural network to correct the first operating parameter.

[0102] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0103] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. An air conditioning energy-saving control method, characterized in that: The steps include: Step S1: obtaining the expected power consumption value and power consumption duration input by the user, and obtaining the power consumption of each hour according to the expected power consumption value and power consumption duration, and marking it as the first power; Step S2: After the indoor temperature reaches the specified temperature, obtain the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit every hour, calculate the current power of the air conditioner based on the first operating parameter and the second operating parameter, and mark it as the second power; Step S3: Determine whether the first power is greater than the second power. If so, maintain the current power of the air conditioner. If so, obtain the current time, confirm the adjustment time period based on the current time, and obtain the outdoor temperature change during the adjustment time period based on a preconfigured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and temperature change; Step S4: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change.

2. The air conditioning energy saving control method according to claim 1, characterized in that: The steps of obtaining the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit in step S2 are as follows: The steps for obtaining the first operating parameter are as follows: Obtaining the current speed of a fan in an outdoor unit of the air conditioner, obtaining the energy consumption of the fan according to a preconfigured second information mapping table, and using the energy consumption of the fan as a first operating parameter, wherein the second information mapping table is a mapping table of the relationship between the fan speed and the energy consumption; The steps for obtaining the second operating parameter are as follows: The specified temperature and indoor space volume are input into the simulation model to obtain the energy consumption of the compressor, which is used as the second operating parameter. The simulation model uses thermodynamics and electrical principles to establish a model of the air-conditioning system.

3. The air conditioning energy-saving control method according to claim 2, characterized in that: Before calculating the second power, the following steps need to be performed: Obtaining a first temperature in the air conditioner outdoor unit, determining whether the first temperature is higher than a first temperature threshold, and if so, modifying a first operating parameter using a trained neural network; The formula for correcting the first operating parameter is as follows: f(X)=max(0,X); Where P1 is the first operating parameter after correction, v j is the weight of the jth hidden layer, h j is the output of the jth hidden layer neuron, c is the bias of the output layer, f(X) is the activation function, ω 1j is the weight of the first temperature in the jth hidden layer, ω 2j is the weight of the first operating parameter in the jth hidden layer, x i is the input of the input layer, x1 is the first temperature, x2 is the first operating parameter, b j is the bias of the hidden layer neurons.

4. The air conditioning energy-saving control method according to claim 3, characterized in that: The formula for calculating the second power in step S2 is as follows: P=α1*P1+α2*P2+α3*C; Wherein α1, α2 and α3 are proportional coefficients respectively, P1 is the first operating parameter, P2 is the second operating parameter, and C is other conventional energy consumption.

5. The air conditioning energy-saving control method according to claim 1, characterized in that: The specific steps of step S4 are as follows: Obtaining the difference between the outdoor temperature and the specified temperature as a first temperature difference, and determining whether the first temperature difference is less than a second temperature threshold. If not, maintaining the current power of the air conditioner; if less, obtaining the required refrigerant flow rate of the air conditioner indoor unit based on the first temperature difference; adjusting the motor speed of the compressor according to the flow rate of the refrigerant; The fan of the air conditioner outdoor unit is adjusted based on the motor speed of the adjusted compressor.

6. The air conditioning energy-saving control method according to claim 5, characterized in that: The refrigerant flow rate is obtained as follows: W1(ΔT)=Kp1*ΔT+Ki1*Sum(T error )+Kd1*Delta(T error ); Where Kp1, Ki1, Kd1 are the gains of the first PID controller, ΔT is the first temperature difference, Sum(T error ) is the accumulation of temperature differences after all historical temperature adjustments, Delta (T error ) is the temperature difference existing after the last temperature adjustment; The specific formula for adjusting the motor speed of the compressor is as follows: Where W1(ΔT) is the flow rate of the refrigerant, Kp2, Ki2, Kd2 are the gains of the second PID controller, t2 is the adjustment time, Sum(e error ) is the accumulation of error values ​​of the motor speed of the compressor when the temperature has not reached the specified temperature ± the second temperature threshold in the past; The specific steps for adjusting the fan of the air conditioner outdoor unit based on the motor speed of the adjusted compressor are as follows: The rotation speed of the fan of the air conditioner outdoor unit is obtained based on a preconfigured third information mapping table, wherein the third information mapping table is a mapping table of heat dissipation requirements of the compressor under different refrigerant flow rates.

7. An air conditioning energy-saving control system, characterized in that: An air conditioning energy-saving control method according to any one of claims 1 to 6, comprising an acquisition module, a calculation module, a judgment module and an adjustment module; The acquisition module is used to obtain the expected power consumption value and power consumption duration input by the user, and obtain the power consumption of each hour according to the expected power consumption value and power consumption duration, and mark it as the first power; The calculation module is used to obtain the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit every hour after the indoor temperature reaches the specified temperature, and calculate the current power of the air conditioner based on the first operating parameter and the second operating parameter, which is marked as the second power; The judgment module is used to judge whether the first power is greater than the second power. If so, the current power of the air conditioner is maintained. If so, the current time is obtained, the adjustment time period is determined according to the current time, and the outdoor temperature change during the adjustment time period is obtained according to a preconfigured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between the time period and the temperature change; The regulating module is used to regulate the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the change of the outdoor temperature.

8. An air conditioning energy-saving control system according to claim 7, characterized in that: The calculation module includes a first calculation submodule and a second calculation submodule; The first calculation submodule obtains the current speed of the fan in the air conditioner outdoor unit, obtains the energy consumption of the fan according to a preconfigured second information mapping table, and uses the energy consumption of the fan as the first operating parameter, wherein the second information mapping table is a mapping table of the relationship between the fan speed and the energy consumption; The second calculation submodule is used to input the specified temperature and indoor space volume into the simulation model, obtain the energy consumption of the compressor, and use the energy consumption of the compressor as the second operating parameter, wherein the simulation model is a model of the air-conditioning system established using the principles of thermodynamics and electrical engineering.

9. An air conditioning energy-saving control system according to claim 7, characterized in that: Also includes correction modules; The correction module is used to obtain a first temperature in the air conditioner outdoor unit, determine whether the first temperature is higher than a first temperature threshold, and if so, use a trained neural network to correct the first operating parameter.

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