A method and system for controlling a comfortable sleeping curve based on power consumption

Abstract

The present invention relates to the technical field of air conditioning control, and in particular to a method and system for controlling a comfortable sleep curve based on power control, comprising the following steps: obtaining an expected power consumption value and sleep duration output by a user, obtaining the power consumption per hour based on the expected power consumption value and sleep duration, and marking the power consumption as a first power; setting an adaptive temperature for the air conditioner in different sleep cycles; obtaining biometric information of a smart device carried by the user, wherein the biometric information is used to determine the user's sleep cycle; and adjusting the output temperature of the air conditioner to an adaptive temperature based on the sleep cycle; the present invention reduces the power of an indoor unit of the air conditioner within an adjustment range, ensuring that the user sleeps in an adaptive temperature environment while also reducing the frequency of the air conditioner, thereby achieving the effect of adjusting the air conditioner frequency based on the parameters set by the user, so that the energy consumption of the air conditioner can approach the user's expected power consumption value.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning control, and in particular to a method and system for controlling a comfortable sleeping curve based on power consumption. Background Art

[0002] Air conditioning, also known as air conditioner, refers to equipment that manually adjusts and controls the temperature, humidity, flow rate, and other parameters of the ambient air within a building or structure. Generally speaking, air conditioning's main functions include cooling, heating, dehumidification, ventilation, and air supply, all designed to meet people's expectations for indoor comfort.

[0003] However, current air conditioners control compressor operation based on a set temperature, thereby maintaining the indoor temperature at that set temperature. However, the body's optimal sleeping temperature varies during sleep. A fixed set temperature cannot meet people's needs for improved sleep comfort. Therefore, an air conditioner control method that can improve user sleep comfort and energy efficiency is urgently needed. Summary of the Invention

[0004] In view of the above-mentioned defects, the purpose of the present invention is to propose a comfortable sleeping curve control method and system based on power control, so as to solve the problem of difficulty in balancing comfort and energy-saving efficiency in existing air conditioners.

[0005] To achieve this purpose, the present invention adopts the following technical solution: a method for controlling a comfortable sleep curve based on power control, comprising the following steps:

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

[0007] Step S2: setting the adaptive temperature of the air conditioner in different sleep cycles;

[0008] Step S3: Obtaining biometric information of the user's smart device, wherein the biometric information is used to determine the user's sleep cycle;

[0009] Step S4: adjusting the output temperature of the air conditioner to the adapted temperature according to the sleep cycle;

[0010] When the indoor temperature reaches the adaptation temperature, the first operating parameter of the outdoor unit of the air conditioner and the second operating parameter of the indoor unit of the air conditioner are obtained, and the current power of the air conditioner is calculated based on the first operating parameter and the second operating parameter, and marked as the second power;

[0011] Step S5: Determine whether the first power is greater than the second power. If so, maintain the current power of the air conditioner. If less than, determine whether the current sleep cycle falls within the adjustment range. If not, 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 pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and temperature change.

[0012] Step S6: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change.

[0013] Preferably, the step S2 is as follows:

[0014] The sleep cycle includes the falling asleep period, light sleep period, deep sleep period, deep sleep period and rapid eye movement period;

[0015] The suitable temperature for the sleeping period is: 24°C;

[0016] The suitable temperature for the light sleep period is: 24°C;

[0017] The suitable temperature for the deep sleep period is: 26°C;

[0018] The adapted temperature for the deep sleep period is: 28°C;

[0019] The adaptive temperature for the rapid eye movement period is 26°C.

[0020] 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 S4 are as follows:

[0021] The steps for obtaining the first operating parameter are as follows:

[0022] 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;

[0023] The steps for obtaining the second operating parameter are as follows:

[0024] 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.

[0025] Preferably, before calculating the second power, the following steps need to be performed:

[0026] 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;

[0027] The formula for correcting the first operating parameter is as follows:

[0028]

[0029] f(X)=max(0,X);

[0030] 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.

[0031] Preferably, in step S5, the adjustment range is: deep sleep period and deep sleep period.

[0032] Preferably, the specific steps of step S6 are as follows:

[0033] Obtaining the difference between the outdoor temperature and the adapted 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;

[0034] adjusting the motor speed of the compressor according to the flow rate of the refrigerant;

[0035] The fan of the air conditioner outdoor unit is adjusted based on the motor speed of the adjusted compressor.

[0036] Preferably, the refrigerant flow rate is obtained as follows:

[0037] W1(ΔT)=Kp1*ΔT+Ki1*Sum(T error )+Kd1*Delta(T error );

[0038] 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;

[0039] The specific formula for adjusting the motor speed of the compressor is as follows:

[0040]

[0041] 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;

[0042] 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:

[0043] 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.

[0044] A comfortable sleep curve control system based on power control, using a comfortable sleep curve control method based on power control, comprising:

[0045] Acquisition module, setting module, status confirmation module, calculation module, judgment module and adjustment module;

[0046] The acquisition module is used to obtain the expected power consumption value and sleep duration input by the user, and obtain the power consumption of each hour according to the expected power consumption value and sleep duration, and mark it as the first power;

[0047] The setting module is used to set the adaptive temperature of the air conditioner in different sleep cycles;

[0048] The status confirmation module is used to obtain biological information of the smart device carried by the user, wherein the biological information is used to determine the user's sleep cycle;

[0049] The calculation module is used to adjust the output temperature of the air conditioner to the adapted temperature according to the sleep cycle;

[0050] When the indoor temperature reaches the adaptation temperature, the first operating parameter of the outdoor unit of the air conditioner and the second operating parameter of the indoor unit of the air conditioner are obtained, and the current power of the air conditioner is calculated based on the first operating parameter and the second operating parameter, and marked as the second power;

[0051] The judgment module is used to judge whether the first power is greater than the second power, and if so, maintain the current power of the air conditioner; if less than, judge whether the current sleep cycle falls within the adjustment range; if not, maintain 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 during the adjustment time period according to a pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and temperature change;

[0052] 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.

[0053] Preferably, the calculation module includes a first calculation submodule and a second calculation submodule;

[0054] 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;

[0055] 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.

[0056] Preferably, it also includes a correction module;

[0057] 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.

[0058] One of the above technical solutions has the following advantages or beneficial effects: the present invention reduces the power of the indoor unit of the air conditioner within the adjustment range, while ensuring that the user sleeps in an adapted temperature environment, it can also reduce the frequency of the air conditioner, thereby achieving the effect of adjusting the air conditioner frequency according to the parameters set by the user, so that the energy consumption of the air conditioner can be close to the user's expected power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a flow chart of an embodiment of the method of the present invention.

[0060] Figure 2 It is a structural diagram of an embodiment of the system of the present invention. DETAILED DESCRIPTION

[0061] The embodiments of the present invention are described in detail below. 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 throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and are not to be construed as limiting the present invention.

[0062] In the description of the embodiments of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the described features. In the description of the embodiments of the present invention, "plurality" means two or more, unless otherwise specifically specified.

[0063] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0064] like Figures 1-2 As shown, a method for controlling a comfortable sleeping curve based on power consumption includes the following steps:

[0065] Step S1: obtaining the expected power consumption value and sleep duration input by the user, and obtaining the power consumption of each hour according to the expected power consumption value and sleep duration, and marking it as the first power;

[0066] Step S2: setting the adaptive temperature of the air conditioner in different sleep cycles;

[0067] Step S3: Obtaining biometric information of the user's smart device, wherein the biometric information is used to determine the user's sleep cycle;

[0068] Step S4: adjusting the output temperature of the air conditioner to the adapted temperature according to the sleep cycle;

[0069] When the indoor temperature reaches the adaptation temperature, the first operating parameter of the outdoor unit of the air conditioner and the second operating parameter of the indoor unit of the air conditioner are obtained, and the current power of the air conditioner is calculated based on the first operating parameter and the second operating parameter, and marked as the second power;

[0070] Step S5: Determine whether the first power is greater than the second power. If so, maintain the current power of the air conditioner. If less than, determine whether the current sleep cycle falls within the adjustment range. If not, 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 pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and temperature change.

[0071] Step S6: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change.

[0072] To improve the user's sleep quality, the present invention sets different sleep cycles based on the user's sleep curve. Based on these cycles, an adaptive temperature is set to suit the user's sleep. The user's sleep cycle is then acquired through a smart device carried by the user, which can be a smartwatch. When the user enters a sleep cycle, a corresponding adjustment command is sent to the air conditioner, which adjusts the air conditioner to the adaptive temperature, allowing the user to sleep at a comfortable temperature.

[0073] In addition, the present invention also obtains the user's expected power consumption and sleep duration. For example, if the user expects to sleep at night with 4 kWh of electricity and 8 hours of air conditioning, we can divide the expected power consumption by the power consumption duration to obtain the first power of 0.5 kWh / hour.

[0074] Since existing air conditioners are mostly variable-frequency air conditioners that can change frequency according to the environment, it is impossible to determine whether the air conditioner power is sufficient to meet user needs through monitoring. Therefore, the current power of the air conditioner is predicted based on the first and second operating parameters to obtain the second power. When the second power is less than the first power, it means that the amount of electricity consumed by the air conditioner in that hour is less than the expected value. In this case, the air conditioner can maintain its current power and operate. If the first power is less than the second power, it means that the current air conditioner power is too high and the power needs to be reduced to meet the user's electricity needs. However, according to basic logic, the indoor temperature needs to be maintained at the adaptive temperature, so forced frequency reduction cannot be used to meet the user's electricity needs.

[0075] For this reason, the present invention also detects whether the current sleep cycle falls within the adjustment range, wherein the adjustment range is the deep sleep period and the deep sleep period. In the adjustment range, people have a low sensitivity to the external temperature, so adjusting the temperature within the adjustment range to meet the user's electricity consumption will not affect the user's sleep. When it is necessary to reduce the temperature, the current time is taken, and the adjustment time period is confirmed based on 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 to 3:00, the temperature change of the time period of 2:00 to 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 based on external meteorological data.

[0076] At this time, since the external temperature is close to the adaptive temperature, the power of the air conditioner indoor unit can be reduced. The air conditioner can be driven in a sweeping mode or the frequency of the air conditioner can be reduced. While ensuring that the user sleeps in an adaptive temperature environment, the frequency of the air conditioner can also be reduced, achieving the effect of adjusting the air conditioner frequency according to the parameters set by the user, so that the energy consumption of the air conditioner can be close to the user's expected power consumption.

[0077] Preferably, the step S2 is as follows:

[0078] The sleep cycle includes the falling asleep period, light sleep period, deep sleep period, deep sleep period and rapid eye movement period;

[0079] The suitable temperature for the sleeping period is: 24°C;

[0080] The suitable temperature for the light sleep period is: 24°C;

[0081] The suitable temperature for the deep sleep period is: 26°C;

[0082] The adapted temperature for the deep sleep period is: 28°C;

[0083] The adaptive temperature for the rapid eye movement period is 26°C.

[0084] 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 S4 are as follows:

[0085] The steps for obtaining the first operating parameter are as follows:

[0086] 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;

[0087] Since the fan power in the air conditioner outdoor unit is relatively stable, its energy consumption is relatively fixed at a fixed speed. Therefore, a second information mapping table can be constructed in advance based on the fan parameters provided by the manufacturer. After detecting the speed of the fan, the energy consumption of this 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 multiple fans needs to be obtained and then added together to obtain the first operating parameter.

[0088] The steps for obtaining the second operating parameter are as follows:

[0089] 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.

[0090] Thermodynamics can reveal the amount of heat energy required to maintain a fixed temperature in a fixed-sized space. Electrical principles can then be used to determine the energy consumption of a compressor at a corresponding power level to regulate this heat. Therefore, a simulation model can be constructed using existing thermodynamic and electrical principles. In addition to inputting the expected power consumption and sleep duration, the user also needs to enter the room size (indoor space volume). By specifying the temperature and indoor space volume and inputting them into the simulation model, the energy consumption of the compressor is instantly determined.

[0091] Preferably, before calculating the second power, the following steps need to be performed:

[0092] 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;

[0093] The formula for correcting the first operating parameter is as follows:

[0094]

[0095] f(X)=max(0,X);

[0096] 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, bj is the bias of the hidden layer neurons.

[0097] Since the outdoor unit of the air conditioner is a workpiece for heat dissipation, and the second information mapping table is only the test parameters of the fan in the test environment by the manufacturer, the test environment temperature is lower than the ambient temperature of the outdoor unit of the air conditioner. 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 outdoor unit of the air conditioner is obtained, and it is determined 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 obtaining the first temperature, 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.

[0098] The formula for calculating the second power is as follows:

[0099] P=α1*P1+α2*P2+α3*C;

[0100] 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.

[0101] 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 the corresponding proportional distribution, so as to adjust the air conditioner frequency according to the second power, etc., so as to realize the adjustment of the air conditioner according to the parameters set by the user.

[0102] Preferably, in step S5, the adjustment range is: deep sleep period and deep sleep period.

[0103] Because neural activity decreases during deep and deep sleep, the body's response to temperature changes is significantly reduced. In other words, during this phase, changes in external temperature have less impact on sleep quality. Furthermore, since the comfortable temperature is higher during this phase, continuing to reduce the frequency of air conditioning during this phase can ensure a better sleep.

[0104] Preferably, the specific steps of step S6 are as follows:

[0105] Obtaining the difference between the outdoor temperature and the adapted 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;

[0106] adjusting the motor speed of the compressor according to the flow rate of the refrigerant;

[0107] The fan of the air conditioner outdoor unit is adjusted based on the motor speed of the adjusted compressor.

[0108] During the adjustment of step S4, the present invention will obtain the outdoor temperature as the direction for 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 environment. 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 reduced by the first temperature difference, and appropriately reducing the motor frequency of the compressor will not cause too much change in physical perception. Therefore, the motor frequency of the compressor can be appropriately reduced at this time. In addition, since the amount of refrigerant required is reduced, the heat dissipation required by the air conditioner outdoor unit will also be reduced. Therefore, the present invention will also readjust the fan speed of the air conditioner outdoor unit according to the motor speed of the compressor, and ultimately achieve energy saving.

[0109] Preferably, the refrigerant flow rate is obtained as follows:

[0110] W1(ΔT)=Kp1*ΔT+Ki1*Sum(T error )+Kd1*Delta(T error );

[0111] 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;

[0112] The specific formula for adjusting the motor speed of the compressor is as follows:

[0113]

[0114] 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;

[0115] 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:

[0116] 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.

[0117] A comfortable sleep curve control system based on power control, using a comfortable sleep curve control method based on power control, comprising:

[0118] Acquisition module, setting module, status confirmation module, calculation module, judgment module and adjustment module;

[0119] The acquisition module is used to obtain the expected power consumption value and sleep duration input by the user, and obtain the power consumption of each hour according to the expected power consumption value and sleep duration, and mark it as the first power;

[0120] The setting module is used to set the adaptive temperature of the air conditioner in different sleep cycles;

[0121] The status confirmation module is used to obtain biological information of the smart device carried by the user, wherein the biological information is used to determine the user's sleep cycle;

[0122] The calculation module is used to adjust the output temperature of the air conditioner to the adapted temperature according to the sleep cycle;

[0123] When the indoor temperature reaches the adaptation temperature, the first operating parameter of the outdoor unit of the air conditioner and the second operating parameter of the indoor unit of the air conditioner are obtained, and the current power of the air conditioner is calculated based on the first operating parameter and the second operating parameter, and marked as the second power;

[0124] The judgment module is used to judge whether the first power is greater than the second power, and if so, maintain the current power of the air conditioner; if less than, judge whether the current sleep cycle falls within the adjustment range; if not, maintain 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 during the adjustment time period according to a pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and temperature change;

[0125] 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.

[0126] Preferably, the calculation module includes a first calculation submodule and a second calculation submodule;

[0127] 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;

[0128] 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.

[0129] Preferably, it also includes a correction module;

[0130] 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.

[0131] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative uses of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0132] While 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 invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A method for controlling a comfortable sleeping curve based on power consumption, characterized in that: The steps include: Step S1: obtaining the expected power consumption value and sleep duration input by the user, and obtaining the power consumption of each hour according to the expected power consumption value and sleep duration, and marking it as the first power; Step S2: setting the adaptive temperature of the air conditioner in different sleep cycles; Step S3: Obtaining biometric information of the smart device carried by the user, wherein the biometric information is used to determine the user's sleep cycle; Step S4: adjusting the output temperature of the air conditioner to the adapted temperature according to the sleep cycle; When the indoor temperature reaches the adapted temperature, the first operating parameter of the outdoor unit of the air conditioner and the second operating parameter of the indoor unit of the air conditioner are obtained, and the current power of the air conditioner is calculated based on the first operating parameter and the second operating parameter, and marked as the second power; Step S5: Determine whether the first power is greater than the second power. If so, maintain the current power of the air conditioner. If less than, determine whether the current sleep cycle falls within the adjustment range. If not, 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 pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and temperature change. Step S6: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change; 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 S4 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: Inputting the specified temperature and indoor space volume into a simulation model to obtain the energy consumption of the compressor, and using the energy consumption of the compressor as a second operating parameter, wherein the simulation model is an air conditioning system model established using thermodynamic and electrical principles; 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: ； ； ； in is the first operating parameter after correction, is the weight of the jth hidden layer, is the output of the jth hidden layer neuron, c is the bias of the output layer, is the activation function, is the weight of the first temperature in the jth hidden layer, is the weight of the first operating parameter in the jth hidden layer, is the input layer's input, The first temperature, is the first operating parameter, is the bias of the hidden layer neurons.

2. The method for controlling a comfortable sleeping curve based on power consumption according to claim 1, characterized in that: The specific steps of step S2 are as follows: The sleep cycle includes the falling asleep period, light sleep period, deep sleep period, deep sleep period and rapid eye movement period; The suitable temperature for the sleeping period is: 24°C; The suitable temperature for the light sleep period is: 24°C; The suitable temperature for the deep sleep period is: 26°C; The adapted temperature for the deep sleep period is: 28°C; The adaptive temperature for the rapid eye movement period is 26°C.

3. The method for controlling a comfortable sleeping curve based on power consumption according to claim 2, wherein: In step S5, the adjustment range is: deep sleep period and deep sleep period.

4. The method for controlling a comfortable sleeping curve based on power consumption according to claim 1, wherein: The specific steps of step S6 are as follows: Obtaining the difference between the outdoor temperature and the adapted 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.

5. The method for controlling a comfortable sleeping curve based on power consumption according to claim 4, characterized in that: The refrigerant flow rate is obtained as follows: ； in 、 、 are the gains of the first PID controller, is the first temperature difference, is the accumulation of all temperature differences after adjusting the temperature in history, The temperature difference after the last temperature adjustment; The specific formula for adjusting the motor speed of the compressor is as follows: C ； in is the refrigerant flow rate, 、 、 are the gains of the second PID controller, To adjust the time, Because the temperature has not reached the suitable temperature in history The accumulation of error values ​​of the motor speed of the compressor at the second temperature threshold; 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.

6. A comfortable sleep curve control system based on power control, using the comfortable sleep curve control method based on power control according to any one of claims 1 to 5, characterized in that: include: Acquisition module, setting module, status confirmation module, calculation module, judgment module and adjustment module; The acquisition module is used to obtain the expected power consumption value and sleep duration input by the user, and obtain the power consumption of each hour according to the expected power consumption value and sleep duration, and mark it as the first power; The setting module is used to set the adaptive temperature of the air conditioner in different sleep cycles; The status confirmation module is used to obtain biological information of the smart device carried by the user, wherein the biological information is used to determine the user's sleep cycle; The calculation module is used to adjust the output temperature of the air conditioner to the adapted temperature according to the sleep cycle; When the indoor temperature reaches the adapted temperature, the first operating parameter of the outdoor unit of the air conditioner and the second operating parameter of the indoor unit of the air conditioner are obtained, and the current power of the air conditioner is calculated based on the first operating parameter and the second operating parameter, and marked as the second power; The judgment module is used to judge whether the first power is greater than the second power, and if so, maintain the current power of the air conditioner; if less than, judge whether the current sleep cycle falls within the adjustment range; if not, maintain 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 during the adjustment time period according to a pre-configured first information mapping table, wherein the first information mapping table is a mapping table of the relationship between time period and 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.

7. The comfortable sleep curve control system based on power control according to claim 6, 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.

8. The comfortable sleep curve control system based on power control according to claim 6, 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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