Comfortable sleep curve control method and system controlled according to electric quantity

Abstract

The invention relates to the technical field of air conditioner control, in particular to a comfortable sleep curve control method and system controlled according to electric quantity, and the method comprises the following steps: obtaining an expected electric quantity value and sleep duration output by a user, obtaining electric power per hour according to the expected electric quantity value and the sleep duration, and marking the electric power as first power; setting adaptive temperatures of the air conditioner in different sleep cycles; acquiring biological information of intelligent equipment carried by a user, wherein the biological information is used for judging a sleep cycle of the user; adjusting the output temperature of the air conditioner to an adaptive temperature according to the sleep cycle; the power in the indoor unit of the air conditioner is reduced within the adjusting range, the frequency of the air conditioner can be reduced while it is ensured that the user sleeps in the adaptive temperature environment, the effect that the frequency of the air conditioner is adjusted according to the parameters set by the user is achieved, and the energy consumption of the air conditioner can be close to the electricity consumption expected value of the user.

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 control. Background Art

[0002] Air conditioning, also known as air conditioner, is a device that uses artificial means to adjust and control the temperature, humidity, flow rate and other parameters of the ambient air in a building or structure. Generally speaking, the main functions of air conditioning include cooling, heating, dehumidification, ventilation, air supply, etc., to meet people's requirements for indoor environmental comfort.

[0003] However, currently air conditioners all control the compressor to operate at the adapted temperature, so that the indoor temperature can be maintained at the adapted temperature. However, when people sleep, the optimal sleeping temperature adapted to the human body will change. The fixed adapted temperature cannot meet people's requirements for improving sleep comfort. Therefore, an air conditioning control method that can improve the user's sleep comfort and improve energy saving 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 that it is difficult to balance 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 the 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: acquiring biological information of the smart device carried by the user, wherein the biological information is used to determine the sleep cycle of the user;

[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 air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit are obtained, and the current power of the air conditioner is calculated according to the first operating parameter and the second operating parameter, and marked as the second power;

[0011] Step S5: determining whether the first power is greater than the second power, if so, maintaining the current power of the air conditioner, if less than, determining whether the current sleep cycle falls within the adjustment range, if not, maintaining the current power of the air conditioner, if within, obtaining the current time, confirming the adjustment time period according to the current time, and obtaining 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;

[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 falling asleep, light sleep, deep sleep, deep sleep and rapid eye movement;

[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 adaptation 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 of obtaining the first operating parameter are as follows:

[0022] 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;

[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, 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.

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

[0026] 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;

[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] Obtain the difference between the outdoor temperature and the adaptation value as the first temperature difference value, and determine whether the first temperature difference value is less than the second temperature threshold value. 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 value;

[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 acquisition of the refrigerant flow rate is disclosed 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] 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.

[0044] A comfortable sleep curve control system based on power control, using the 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 acquire the expected power consumption value and the sleep duration input by the user, and acquire the power consumption of each hour according to the expected power consumption value and the 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 state 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 sleep cycle of the user;

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

[0050] When the indoor temperature reaches the adaptation temperature, the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit are obtained, and the current power of the air conditioner is calculated according to 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. If so, the current power of the air conditioner is maintained. If so, whether the current sleep cycle falls within the adjustment range is determined. If not, 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;

[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 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;

[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 uses the principles of thermodynamics and electrical engineering to establish a model of the air-conditioning system.

[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 schematic diagram of the structure of an embodiment of the system of the present invention. DETAILED DESCRIPTION

[0061] 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.

[0062] 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.

[0063] 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.

[0064] like Figures 1-2 As shown, a method for controlling a comfortable sleeping curve based on power control 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 the 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: acquiring biological information of the smart device carried by the user, wherein the biological information is used to determine the sleep cycle of the user;

[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 air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit are obtained, and the current power of the air conditioner is calculated according to the first operating parameter and the second operating parameter, and marked as the second power;

[0070] Step S5: determining whether the first power is greater than the second power, if so, maintaining the current power of the air conditioner, if less than, determining whether the current sleep cycle falls within the adjustment range, if not, maintaining the current power of the air conditioner, if within, obtaining the current time, confirming the adjustment time period according to the current time, and obtaining 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;

[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] In order to improve the user's sleep quality, in the present invention, different sleep cycles are set according to the human sleep curve process, and then the adaptive temperature suitable for the user's sleep is set according to the different sleep cycles, and then the user's sleep cycle is obtained according to the smart device carried by the user, wherein the smart device can be a smart watch. When it is detected that the user enters a certain sleep cycle, a corresponding adjustment instruction will be sent to the air conditioner, and the adjustment instruction will adjust the air conditioner to the adaptive temperature, so that the user can sleep at a suitable temperature.

[0073] In addition, in the present invention, the user's expected power consumption and sleep duration are also obtained. 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 basically variable frequency air conditioners, which can change frequency according to the environment, it is impossible to determine whether the air conditioner power is sufficient to meet the needs of users through monitoring. Therefore, the current power of the air conditioner is predicted based on 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 that 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 user's electricity needs. However, in basic logic, the indoor temperature needs to be maintained at the adaptive temperature, so the frequency cannot be forcibly reduced to meet the user's electricity needs.

[0075] For this reason, the present invention will also detect whether the current sleep cycle falls within the adjustment range, wherein the adjustment range is a deep sleep period and a 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 will be taken, and the adjustment time period will be 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, the current time is 2:30, which falls into the time period of 2:00-3:00. At this time, the temperature change of the time period of 2:00-3:00 is searched according to the first information mapping table, for example, the temperature changes 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 adaptation temperature, the power of the air conditioner indoor unit can be reduced. The air conditioner can be driven in sweeping mode or the frequency of the air conditioner can be reduced. While ensuring that the user sleeps in an adapted temperature environment, the frequency of the air conditioner can also be reduced, 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.

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

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

[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 adaptation 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 of obtaining the first operating parameter are as follows:

[0086] 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;

[0087] 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.

[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, 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.

[0090] 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 sleep duration, 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.

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

[0092] 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;

[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 air conditioner outdoor unit is a workpiece for heat dissipation, and the second information mapping table is only the test parameters of the fan by the manufacturer in the test environment, the test environment temperature is lower than the environment temperature of the air conditioner outdoor unit. The 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.

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

[0099] P = α1*P1+α2*P2+α3*C;

[0100] 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.

[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 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.

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

[0103] Since the nervous system activity in the deep sleep stage is reduced during deep sleep, the body's response to changes in external temperature will be significantly reduced. In other words, during this stage, changes in external temperature have less impact on sleep quality. Moreover, the comfortable temperature at this time is higher. If the air conditioning frequency is further reduced during this stage, the user's sleep quality can be ensured.

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

[0105] Obtain the difference between the outdoor temperature and the adaptation value as the first temperature difference value, and determine whether the first temperature difference value is less than the second temperature threshold value. 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 value;

[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] 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 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 the motor frequency of the compressor can be appropriately reduced without causing too much physical change. 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 finally achieve the effect of energy saving.

[0109] Preferably, the acquisition of the refrigerant flow rate is disclosed 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] 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.

[0117] A comfortable sleep curve control system based on power control, using the 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 acquire the expected power consumption value and the sleep duration input by the user, and acquire the power consumption of each hour according to the expected power consumption value and the 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 state 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 sleep cycle of the user;

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

[0123] When the indoor temperature reaches the adaptation temperature, the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit are obtained, and the current power of the air conditioner is calculated according to 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. If so, the current power of the air conditioner is maintained. If so, whether the current sleep cycle falls within the adjustment range is determined. If not, 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;

[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 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;

[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 uses the principles of thermodynamics and electrical engineering to establish a model of the air-conditioning system.

[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] 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.

[0132] 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. A comfortable sleep curve control method based on power control, It is 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 the 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: acquiring biological information of the smart device carried by the user, wherein the biological information is used to determine the sleep cycle of the user; 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 adaptation temperature, the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit are obtained, and the current power of the air conditioner is calculated according to the first operating parameter and the second operating parameter, and marked as the second power; Step S5: determining whether the first power is greater than the second power, if so, maintaining the current power of the air conditioner, if less than, determining whether the current sleep cycle falls within the adjustment range, if not, maintaining the current power of the air conditioner, if within, obtaining the current time, confirming the adjustment time period according to the current time, and obtaining 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; Step S6: adjusting the power of the air conditioner outdoor unit or the air conditioner indoor unit according to the outdoor temperature change.

2. A comfortable sleep curve control method based on power control according to claim 1, It is characterized in that The specific steps of step S2 are as follows: The sleep cycle includes falling asleep, light sleep, deep sleep, deep sleep and rapid eye movement; 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 adaptation temperature for the rapid eye movement period is: 26°C.

3. A comfortable sleep curve control method based on power control according to claim 1, It is 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 S4 are as follows: The steps of obtaining the first operating parameter are as follows: 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; 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, 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.

4. A comfortable sleep curve control method based on power control according to claim 3, It is characterized in that Before calculating the second power, the following steps need to be performed: 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; The formula for correcting the first operating parameter is as follows: f(X)=max(0,X); Where P 1 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 layer’s input, x 1 is the first temperature, x 2 is the first operating parameter, b j is the bias of the hidden layer neurons.

5. A comfortable sleep curve control method based on power control according to claim 2, It is characterized in that In the step S5, the adjustment range is: deep sleep period and deep sleep period.

6. A comfortable sleep curve control method based on power control according to claim 1, It is characterized in that The specific steps of step S6 are as follows: Obtain the difference between the outdoor temperature and the adaptation value as the first temperature difference value, and determine whether the first temperature difference value is less than the second temperature threshold value. If not, maintain the current power of the air conditioner; if less, obtain the required refrigerant flow of the indoor unit of the air conditioner through the first temperature difference value; 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.

7. A comfortable sleep curve control method based on power control according to claim 6, It is characterized in that The acquisition of the refrigerant flow rate is shown as follows: W1(ΔT)=Kp 1 *ΔT+Ki 1 *Sum(T error )+Kd 1 *Delta(T error ); where Kp 1 、Ki 1 , Kd 1 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, Kp 2 、Ki 2 , Kd 2 are the gains of the second PID controller, t 2 To adjust the 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; 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: 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.

8. 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 7, It is characterized in that include: Acquisition module, setting module, status confirmation module, calculation module, judgment module and adjustment module; The acquisition module is used to acquire the expected power consumption value and the sleep duration input by the user, and acquire the power consumption of each hour according to the expected power consumption value and the 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 state 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 sleep cycle of the user; The calculation module is used to adjust the output temperature of the air conditioner to the adaptation temperature according to the sleep cycle; When the indoor temperature reaches the adaptation temperature, the first operating parameter of the air conditioner outdoor unit and the second operating parameter of the air conditioner indoor unit are obtained, and the current power of the air conditioner is calculated according to 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. If so, the current power of the air conditioner is maintained. If so, whether the current sleep cycle falls within the adjustment range is determined. If not, 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; 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.

9. A comfortable sleeping curve control system based on power control according to claim 8, It is characterized in that The calculation module includes a first calculation submodule and a second calculation submodule; 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; 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.

10. A comfortable sleeping curve control system based on power control according to claim 8, It is 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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