Air conditioner control method and device, air conditioner and storage medium

Abstract

The invention discloses a control method and device of an air conditioner, the air conditioner and a storage medium. The invention relates to the technical field of air conditioners, and the method comprises the steps that a user somatosensory state output by a somatosensory classification model is obtained, and the somatosensory classification model is a model constructed according to control behavior data of a user at night; determining an environment change trend according to the energy consumption value of the air conditioner and the current working mode; detecting whether an energy compensation condition is met or not according to the environment change trend, the current state of the user and the current compensation times; and if the energy compensation condition is met, the air conditioner is subjected to compensation adjustment according to the user somatosensory state. The energy of the air conditioner is automatically compensated based on the body feeling state of the user and the energy consumption value of the air conditioner, unnecessary late-night refrigerating or heating operation is reduced, the comfort of the air conditioner used at night is improved, the user is prevented from catching a cold, and energy waste is reduced.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of air conditioners, and in particular, to a control method, device, air conditioner and storage medium for an air conditioner. Background Art

[0002] With the continuous improvement of people's living standards, the standard of quality of life has also been increasing day by day, and air conditioners have become an essential household appliance in people's lives. Most of the existing air conditioner temperature control technologies rely on static temperature set values for control, and fail to fully consider the dynamic changes of the night ambient temperature and the differences in the human body's metabolic rhythms, resulting in problems such as excessive cooling or insufficient heating frequently occurring late at night. Excessive cooling or insufficient heating not only affects the user's sleep quality but also reduces the user's comfort. Moreover, it may also cause health risks such as colds, fatigue, and decreased immunity.

[0003] In addition, the temperature perception of traditional air conditioners depends on the internal temperature sensors of the device. Due to factors such as the installation location, air flow blockage, and heat source interference, it cannot accurately reflect the true body feeling temperature of the user's location. And the traditional temperature control methods mostly rely on the user's manual adjustment or preset programs, and it is difficult to achieve a dynamic balance between comfort and energy efficiency. Summary of the Invention

[0004] The embodiments of the present invention provide a control method, device, air conditioner and storage medium for an air conditioner, aiming to solve the problems of poor comfort and energy waste when the existing air conditioner is used at night.

[0005] In a first aspect, the embodiments of the present invention provide a control method for an air conditioner, which includes:

[0006] Obtaining the user's body feeling state output by the body feeling classification model, where the body feeling classification model is a model constructed based on the user's night operation behavior data;

[0007] Determining the environmental change trend according to the energy consumption value and the current working mode of the air conditioner;

[0008] Detecting whether the energy compensation condition is satisfied according to the environmental change trend, the user's current state, and the current compensation times;

[0009] If the energy compensation condition is satisfied, compensating and adjusting the air conditioner according to the user's body feeling state.

[0010] In a second aspect, the embodiments of the present invention further provide a control device for an air conditioner, including:

[0011] An obtaining unit, configured to obtain the user's body feeling state output by the body feeling classification model, where the body feeling classification model is a model constructed based on the user's night operation behavior data;

[0012] A determination unit, configured to determine an environmental change trend according to an energy consumption value of the air conditioner and a current working mode;

[0013] A detection unit, configured to detect whether an energy compensation condition is satisfied according to the environmental change trend, a current user state, and a current compensation times;

[0014] An adjustment unit, configured to perform a compensation adjustment on the air conditioner according to the user's body feeling state if the energy compensation condition is satisfied.

[0015] In a third aspect, an embodiment of the present invention further provides an air conditioner, including a memory and a processor, where a computer program is stored on the memory, and when the processor executes the computer program, the above method is implemented.

[0016] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the above method can be implemented.

[0017] An embodiment of the present invention provides a control method, a device, an air conditioner, and a storage medium for an air conditioner. The method includes: obtaining a user's body feeling state output by a body feeling classification model, where the body feeling classification model is a model constructed according to user's operation behavior data at night; determining an environmental change trend according to an energy consumption value of the air conditioner and a current working mode; detecting whether an energy compensation condition is satisfied according to the environmental change trend, a current user state, and a current compensation times; if the energy compensation condition is satisfied, performing a compensation adjustment on the air conditioner according to the user's body feeling state. The technical solution of the embodiment of the present invention automatically compensates the energy of the air conditioner based on the user's body feeling state and the energy consumption value of the air conditioner, reduces unnecessary late-night cooling or heating operations, not only improves the comfort of the air conditioner during nighttime use, prevents the user from catching a cold, but also reduces energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for description in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings according to these drawings without creative efforts.

[0019] Figure 1 It is a schematic flowchart of a control method for an air conditioner provided by an embodiment of the present invention;

[0020] Figure 2 It is a sub-flowchart of a control method for an air conditioner provided by an embodiment of the present invention;

[0021] Figure 3 Another sub - flow schematic diagram of a control method for an air conditioner provided by an embodiment of the present invention;

[0022] Figure 4 Flow schematic diagram of a control method for an air conditioner provided by another embodiment of the present invention;

[0023] Figure 5 System block diagram of a control method for an air conditioner provided by an embodiment of the present invention;

[0024] Figure 6 Flow sketch of a control method for an air conditioner provided by an embodiment of the present invention;

[0025] Figure 7 Schematic block diagram of a control device for an air conditioner provided by an embodiment of the present invention;

[0026] Figure 8 Schematic block diagram of an air conditioner provided by an embodiment of the present invention. Detailed implementation manners

[0027] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0029] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in this specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0030] It should be further understood that the term "and / or" used in this specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the related listed items, and includes these combinations.

[0031] As used in this specification and the appended claims, the term "if" may be construed, depending on the context, as "when" or "once" or "in response to determining" or "in response to detecting". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed, depending on the context, to mean "once determined" or "in response to determining" or "once [the described condition or event] is detected" or "in response to detecting [the described condition or event]".

[0032] Please refer to Figure 1 , Figure 1 is a schematic flowchart of a control method for an air conditioner provided by an embodiment of the present invention. The control method of the air conditioner will be described in detail below. As Figure 1 shown, the method includes the following steps S110 - S140.

[0033] S110. Obtain the user's body feeling state output by the body feeling classification model, where the body feeling classification model is a model constructed based on the user's manipulation behavior data at night.

[0034] In the embodiments of the present invention, the user's night control behavior data includes the temperature / wind speed set values before and after the operation, the operation time, the operation type, the parameter change value, the current working mode, the operation frequency, and the environmental state. Among them, the temperature / wind speed set values before and after the operation are used to reflect the target state of the user's environmental adjustment, and the operation time is used to record the specific time when each operation occurs for analyzing the time period characteristics; the operation type includes heating, cooling, adjusting the wind speed, turning on / off, switching modes, etc.; the parameter change value includes the temperature change and the wind speed gear change, such as the amplitude of the temperature increase / decrease, and the wind speed switching from low gear to high gear; the current working mode includes modes such as refrigeration, heating, dehumidification, and air supply; the operation frequency is the number of operations per unit time, which is used to evaluate the user's sensitivity to environmental changes; the environmental state is an optional item and can be recorded or not, such as the indoor temperature, humidity, and external air temperature during the operation. Understandably, all the user's night control behavior data will be saved in the database. Obtain the user's body feeling state output by the body feeling classification model, and the user's body feeling state includes being cold, being hot, and neutral. If the user increases the temperature or decreases the wind speed during use, it is determined that the user's body feeling is cold, indicating that the user expects to increase the environmental temperature or reduce the air flow. Understandably, the corresponding adjustment strategy for being cold is to increase the temperature or decrease the wind speed. Being hot: If the user decreases the temperature or increases the wind speed, it is determined that the user's body feeling is hot, indicating that the user expects to lower the environmental temperature or enhance the air flow. Understandably, the corresponding adjustment strategy for being hot is to decrease the temperature or increase the wind speed. Neutral: If the user has a low control frequency throughout the night and the temperature and wind speed settings are stable (such as the temperature is in the range of 24°C - 26°C and the wind speed is maintained at medium), it is considered that the user's current body feeling is close to neutral and in a comfortable state. Understandably, the corresponding adjustment strategy for neutral is to keep the temperature and wind speed unchanged.

[0035] Further, constructing the somatosensory classification model according to the user's manipulation behavior data at night includes: obtaining the recorded manipulation behavior data within a preset night time period; dividing the preset night time period into several night sub-time periods; for the manipulation behavior data within each night sub-time period, analyzing through a sliding time window and machine learning techniques to discover the relationship between the manipulation behavior data, the user's somatosensory state, and the adjustment strategy, and constructing the somatosensory classification model. It should be noted that in this embodiment, the preset night time period is, for example, 21:00 - 06:00. Dividing the preset night time period into several night sub-time periods, for example, 21:00–00:00, 00:00–03:00, 03:00–06:00. For the manipulation behavior data within the time periods of 21:00–00:00, 00:00–03:00, and 03:00–06:00, analyzing through a sliding time window (such as continuous 3 days or 7 days) and machine learning techniques (such as moving average algorithm, K-NN clustering algorithm, neural network algorithm) to discover the relationship between the manipulation behavior data, the user's somatosensory state, and the adjustment strategy, that is, analyzing the user's somatosensory preference and operation change trend, so as to construct the somatosensory classification model. The operation change trend refers to whether there is a stable operation behavior habit of the user within a similar time period. For example: tending to increase the temperature at 2 am every day is a "cold preference trend"; or continuously reducing the wind speed before going to bed is a "wind speed reduction preference trend". It should also be noted that in this embodiment, the manipulation behavior data is the user's long-term behavior data, and each time the user's somatosensory state and adjustment strategy are recorded in a structured behavior table. Moreover, the manipulation behavior data is also recorded in the structured behavior table to provide support for the training and optimization of the somatosensory classification model. Understandably, through the somatosensory classification model, the comfort requirements of the user at different times can be predicted, and the air conditioner can be intelligently controlled and adjusted without manual intervention.

[0036] S120 Determine the environmental change trend according to the energy consumption value and the current working mode of the air conditioner.

[0037] In the embodiment of the present invention, the energy consumption value of the air conditioner can be estimated through a neural network model combined with operation parameters (such as compressor speed, wind speed gear, valve state, etc.), or can be obtained by collecting through an energy consumption measurement module. Specifically, such as Figure 2As shown, step S120 may specifically include steps S121 - S122: S121. Collect the energy consumption value of the air conditioner, and calculate multiple energy consumption change amounts within a preset number of sampling periods based on the energy consumption value; S122. Obtain the current working mode of the air conditioner, and determine the environmental change trend based on the current working mode and the multiple energy consumption change amounts. It should be noted that in this embodiment, the environmental change trend includes the first environmental change trend, the second environmental change trend, and the third environmental change trend. Determining the environmental change trend based on the current working mode and the multiple energy consumption change amounts includes: If the multiple energy consumption change amounts are continuously negative and the current working mode is the cooling mode, then set the environmental change trend to the first environmental change trend; If the multiple energy consumption change amounts are continuously negative and the current working mode is the heating mode, then set the environmental change trend to the second environmental change trend; If the multiple energy consumption change amounts are continuously positive, then set the environmental change trend to the third environmental change trend. It should also be noted that in this embodiment, the control module of the air conditioner samples the energy consumption value of the air conditioner every T minutes. For ease of understanding, assume that the collected energy consumption values are P1, P2, P3, P4, ……, the preset number of sampling periods is N, N = 4 represents 4 sampling periods, the energy consumption change amount is ΔE, and ΔE is used to reflect the increase or decrease of energy consumption per unit time and is used as the basis for judging the load change. ΔE1 = P2 - P1, ΔE2 = P3 - P2, ΔE3 = P4 - P3, where ΔE1, ΔE2, and ΔE3 are the energy consumption change amounts within 4 sampling periods. If ΔE1, ΔE2, and ΔE3 are continuously positive and the values of ΔE1, ΔE2, and ΔE3 show an upward trend, and at the same time the working time or frequency of the air conditioner compressor increases, then it is determined that the current air conditioner load is increasing; The current working mode is the cooling mode: It is inferred that the indoor temperature has risen or the external temperature is relatively high, and the cooling intensity needs to be increased to maintain the set temperature. At this time, the environmental change trend is the third environmental change trend; The current working mode is the heating mode: It is inferred that the external air temperature has dropped or the indoor heat has been lost, and the air conditioner needs to increase the heating load to maintain the set temperature. At this time, the environmental change trend is also the third environmental change trend. If ΔE1, ΔE2, and ΔE3 are continuously negative and the values of ΔE1, ΔE2, and ΔE3 show a downward trend, then it is determined that the current load has decreased; The current working mode is the cooling mode: It means that the environmental temperature has decreased or the cooling demand has weakened, and the air conditioner can appropriately reduce the cooling power. At this time, the environmental change trend is the first environmental change trend; The current working mode is the heating mode: It means that the room temperature has risen or the heating load has been reduced, and the heating intensity can be appropriately reduced or the energy-saving state can be entered. At this time, the environmental change trend is the second environmental change trend.

[0038] S130. Detect whether the energy compensation condition is met according to the environmental change trend, the current user status, and the current compensation times.

[0039] In an embodiment of the present invention, as Figure 3 shown, step S130 may specifically include steps S131 - S132: S131. If the environmental change trend is the first environmental change trend, the current user state is a preset state, and no preset temperature adjustment instruction is received, it is determined that the initial energy compensation condition is satisfied; S132. If the initial energy compensation condition is satisfied and the current compensation times meet the compensation times condition, it is determined that the energy compensation condition is satisfied. It should be noted that in this embodiment, the environmental change trend being the first environmental change trend indicates that multiple energy consumption change amounts are continuously negative and the current working mode of the air conditioner is the cooling mode, that is, in the cooling mode, the energy consumption of the air conditioner continuously decreases in multiple sampling periods, and the compressor load gradually decreases; the preset state is that the user is detected to still be in the room and is in a sleeping or low - activity state; not receiving a preset temperature adjustment instruction indicates that the user does not manually adjust the temperature setting. Understandably, when the above - mentioned initial energy compensation condition is satisfied, it is common in the night when the environmental temperature drops and the room gradually cools down. Although the energy consumption decreases, it may cause the user to feel cold during sleep.

[0040] Furthermore, in this embodiment, the current compensation times meeting the compensation times condition includes: If the current compensation times is the first preset compensation times within a preset time period, it is determined that the current compensation times meet the compensation times condition; If the current compensation times is the second preset compensation times within a preset time period, the current time and the previous compensation adjustment time are obtained, and the difference between the current time and the compensation adjustment time is calculated to obtain a time difference; If the time difference is greater than the preset time difference, it is determined that the current compensation times meet the compensation times condition. It should be noted that in this embodiment, the preset time period refers to a preset time every night (for example, 21:00 - 06:00), the first preset compensation times is 1 time, the second preset compensation times is 2 times, and the preset time difference is 2 hours. That is, when the current compensation times is 1 time, it is directly determined that the current compensation times meet the compensation times condition; when the current compensation times is 2 times, there needs to be an interval of at least 1 hour between two consecutive compensations. Understandably, at most 2 automatic energy compensations are performed every night. Therefore, the setting of the compensation times condition is to ensure the compensation adjustment effect and avoid frequent interference.

[0041] S140 If the energy compensation condition is satisfied, the air conditioner is compensated and adjusted according to the user's body feeling state.

[0042] In an embodiment of the present invention, when the energy compensation condition is met, that is, when the energy consumption trend continues to decline and the environment gets colder, in order to weaken the refrigeration effect and prevent the temperature from being too low and affecting the user's sleep quality, the air conditioner is compensated and adjusted according to the user's body feeling state, that is, the refrigeration energy of the air conditioner is automatically adjusted according to the user's body feeling state to perform appropriate temperature compensation, improve the nighttime comfort, and prevent the user from catching a cold. Specifically, if the user's body feeling state is cold, more refrigeration energy is adjusted (for example, after adjusting the refrigeration energy, the indoor temperature rises by 1.5 °C, and the maximum does not exceed the original set temperature + 2 °C). If the user's body feeling state is hot, less refrigeration energy is adjusted (for example, after adjusting the refrigeration energy, the indoor temperature rises by 0.5 °C, default + 0.5 °C). If the user's body feeling state is neutral, the adjusted refrigeration energy is moderate (for example, after adjusting the refrigeration energy, the indoor temperature rises by 1 °C). It should be noted that in this embodiment, each compensation operation will automatically record the following information: trigger time point, energy consumption trend and air conditioner operation state, whether the user is in the room, temperature adjustment range, and environmental change inference result. Understandably, the personalized adjustment strategy is optimized through the recorded historical data to improve the nighttime comfort and intelligence of the air conditioner. It should also be noted that in other embodiments, when the environmental change trend is the second environmental change trend, when it is detected that the user is still in the room and is in a sleep or low-activity state, and the user has not manually adjusted the temperature setting, it may mean that the room temperature is too high, and the heating energy can be adjusted downward to prevent overheating from affecting the user's sleep.

[0043] Figure 4 The flowchart of the control method of the air conditioner provided by another embodiment of the present invention is as Figure 4 shown. In this embodiment, the method includes steps S110 - S170. That is, in this embodiment, after step S140 of the above embodiment, the method further includes steps S150 - S170.

[0044] S150. If a user reverse temperature adjustment instruction is received within the preset execution time, update the number of incorrect compensation times;

[0045] S160. If the number of incorrect compensation times is not less than the preset number of incorrect compensation times, adjust the compensation logic of the air conditioner;

[0046] S170. If the user reverse temperature adjustment instruction is not received within the preset execution time, increase the compensation strategy weight of the air conditioner.

[0047] In an embodiment of the present invention, the preset execution time is 15 minutes, and the preset number of incorrect compensation times is 3 times. If a user reverse temperature adjustment instruction is received within 15 minutes after the compensation is executed, that is, the user adjusts the temperature in the reverse direction, which is regarded as "incorrect compensation", the number of incorrect compensation times is updated. Among them, the user reverse temperature adjustment means that the compensation adjustment increases the indoor temperature, but after the compensation adjustment, the user performs a reverse temperature operation and lowers the temperature; after 3 or more incorrect compensations are accumulated, the compensation logic of the air conditioner is adjusted to correct the somatosensory classification model; it can be understood that if the user does not perform a reverse operation within 15 minutes after the compensation is executed, it indicates that the compensation strategy is appropriate, and the weight of the compensation strategy is increased to optimize the subsequent judgment logic.

[0048] Please refer to Figure 5 , Figure 5 which is a system block diagram of a control method for an air conditioner provided by an embodiment of the present invention. In Figure 5 it includes a somatosensory feature learning module, an energy consumption monitoring module, an environment inference and compensation engine, and a feedback correction module. Among them, the somatosensory feature learning module is used to construct a somatosensory classification model according to the user's nighttime operation behavior data. The energy consumption monitoring module is used to monitor the energy consumption value of the air conditioner, calculate the energy consumption change amount, and determine the environmental change trend according to the energy consumption change amount and the current working mode of the air conditioner. The environment inference and compensation engine performs compensation adjustment on the air conditioner according to the user somatosensory classification output by the somatosensory classification model and the energy consumption value of the air conditioner; the feedback correction module corrects the somatosensory classification model according to the compensation adjustment result.

[0049] Please refer to Figure 6 , Figure 6 which is a flow diagram of a control method for an air conditioner provided by an embodiment of the present invention. In Figure 6In it, a somatosensory classification model is constructed: all the user's nighttime temperature adjustment behaviors will be collected and stored in the database. For example, when the user adjusts the temperature from 24°C to 26°C at 03:10, the record is as follows: Timestamp: 03:10, Operation type: Temperature increase, Temperature change: +2°C, Ambient temperature: 20°C. By sliding the time window and using machine learning techniques, the temperature adjustment pattern is analyzed regularly to establish a somatosensory classification model, which is used to predict the tolerance range and preference of the user for temperature changes at different time periods, that is, the user's somatosensory state is obtained. The energy consumption value is collected to determine the environmental change trend: the energy consumption value is collected at a fixed interval (such as every 10 minutes), and the environmental change trend is judged within the set analysis window (such as 30 minutes). If the following phenomena are detected in the cooling mode, it will be inferred that the ambient temperature is decreasing and the load is decreasing: the energy consumption drops continuously three times within the sampling period; the running time of the compressor gradually shortens during the same period, indicating that the energy consumption required to maintain the set temperature per unit time becomes lower. To improve the accuracy, multi-source information is supported to assist in the inference, such as: the start-stop frequency and duty cycle changes of the air-conditioning compressor; indoor / outdoor temperature sensor data (if the device has it); historical comparison of power curves. Sleep state recognition and compensation timing judgment: To ensure that the compensation behavior takes effect when the user actually falls asleep, the nighttime sleep time period (such as 00:00–07:00) can be configured, and the following presence perception means can be combined to confirm that the user is in the room: pyroelectric infrared sensor, millimeter-wave radar detection, WiFi / Bluetooth MAC address positioning, and intelligent mattress pressure sensing technology. If the following three conditions are met, the compensation adjustment will be triggered: the current time is within the set sleep period; the user is actually in the room; the air conditioner is in the cooling mode; the user has not manually adjusted the temperature setting; the energy consumption has been continuously decreasing for multiple consecutive cycles, indicating that the compressor load is gradually decreasing, indicating that the outside temperature is decreasing, which may cause the user to feel cold. Compensation strategy execution: The compensation strategy adopts a step-by-step adjustment method. The first compensation amplitude is +0.3°C. If the user does not make a reverse adjustment, the subsequent compensation amplitude can be increased to +0.5°C or +1°C. To avoid mis-triggering and interference, the compensation mechanism introduces a restriction strategy: the compensation can be triggered at most 2 times per night; if the cumulative mis-compensation ≥ 3 times, the strategy credibility will be automatically reduced; after the compensation behavior is successful, the weight will be increased to improve the strategy credibility. Model iteration optimization and personalized adjustment: The model update process is executed once a week to analyze the user's behavior after the compensation operation, and the following optimization rules are adopted: Positive feedback (no reverse adjustment): Increase the compensation weight for the corresponding time period; Negative feedback (reverse lower): Lower the strategy amplitude or delay the trigger time; High-frequency manual adjustment behavior: Update the somatosensory classification model and introduce new samples to retrain the somatosensory classification model; Subjective feedback information: If the user manually marks "feeling cold / hot" through the App, it will be included in the training samples to improve the accuracy of the model.

[0050] In summary, in this embodiment, a somatosensory classification model is constructed based on the user's nighttime control behavior data, the environmental change trend is determined according to the energy consumption value and the current working mode of the air conditioner, and it is detected whether the energy compensation condition is met according to the environmental change trend. When the condition is met, the air conditioner is compensated and adjusted according to the user's somatosensory state, reducing the risk of "catching a cold in the second half of the night" caused by the static nighttime temperature control setting, making up for the environmental temperature perception error caused by the limitation of the built-in sensors of the air conditioner, and realizing temperature trend perception and intelligent compensation control without relying on additional hardware. On the basis of improving sleep comfort, energy waste is reduced.

[0051] Figure 7 FIG. 4 is a schematic block diagram of a control device 200 of an air conditioner provided by an embodiment of the present invention. As Figure 7 shown, corresponding to the above control method of the air conditioner, the present invention also provides a control device 200 of an air conditioner. The control device 200 of the air conditioner includes units for executing the above control method of the air conditioner, and the device can be configured in the air conditioner. Specifically, please refer to Figure 7 FIG. 4, the control device 200 of the air conditioner includes an acquisition unit 201, a determination unit 202, a detection unit 203, and an adjustment unit 204.

[0052] Among them, the acquisition unit 201 is used to acquire the user's somatosensory state output by the somatosensory classification model, where the somatosensory classification model is a model constructed based on the user's nighttime control behavior data; the determination unit 202 is used to determine the environmental change trend according to the energy consumption value and the current working mode of the air conditioner; the detection unit 203 is used to detect whether the energy compensation condition is met according to the environmental change trend, the user's current state, and the current compensation times; the adjustment unit 204 is used to, if the energy compensation condition is met, perform compensation adjustment on the air conditioner according to the user's somatosensory state.

[0053] In some embodiments, such as this embodiment, the determination unit 202 includes a collection calculation unit and an acquisition determination unit.

[0054] Among them, the collection calculation unit is used to collect the energy consumption value of the air conditioner and calculate a plurality of energy consumption change amounts within a preset number of sampling periods according to the energy consumption value; the acquisition determination unit is used to acquire the current working mode of the air conditioner and determine the environmental change trend according to the current working mode and the plurality of energy consumption change amounts.

[0055] In some embodiments, such as this embodiment, the obtaining and determining unit is further configured to: if multiple energy consumption change amounts are continuously negative and the current working mode is the cooling mode, set the environmental change trend to the first environmental change trend; if multiple energy consumption change amounts are continuously negative and the current working mode is the heating mode, set the environmental change trend to the second environmental change trend; if multiple energy consumption change amounts are continuously positive, set the environmental change trend to the third environmental change trend.

[0056] In some embodiments, such as this embodiment, the detection unit 203 includes a first determination unit and a second determination unit.

[0057] Wherein, the first determination unit is configured to determine that the initial energy compensation condition is met if the environmental change trend is the first environmental change trend, the current user state is a preset state, and no preset temperature adjustment instruction is received; the second determination unit is configured to determine that the energy compensation condition is met if the initial energy compensation condition is met and the current compensation times meet the compensation times condition.

[0058] In some embodiments, such as this embodiment, the second determination unit is further configured to: if the current compensation times is the first preset compensation times within a preset time period, determine that the current compensation times meet the compensation times condition; if the current compensation times is the second preset compensation times within a preset time period, obtain the current time and the previous compensation adjustment time, and calculate the difference between the current time and the compensation adjustment time to obtain a time difference; if the time difference is greater than a preset time difference, determine that the current compensation times meet the compensation times condition.

[0059] In some embodiments, such as this embodiment, the control device 200 of the air conditioner further includes an updating unit, an adjusting unit, and an increasing unit.

[0060] Wherein, the updating unit is configured to update the miscompensation times if a user reverse temperature adjustment instruction is received within a preset execution time; the adjusting unit is configured to adjust the compensation logic of the air conditioner if the miscompensation times is not less than a preset miscompensation times; the increasing unit is configured to increase the compensation strategy weight of the air conditioner if a user reverse temperature adjustment instruction is not received within the preset execution time.

[0061] The above control device of the air conditioner can be implemented in the form of a computer program, and the computer program can run on an air conditioner as shown in Figure 8 shown.

[0062] Please refer to Figure 8 , Figure 8It is a schematic block diagram of an air conditioner provided by an embodiment of the present invention. The air conditioner 300 is a device with a compensation adjustment function.

[0063] Referring to Figure 8 , the air conditioner 300 includes a processor 302, a memory, and a network interface 305 connected through a system bus 301. Among them, the memory may include a non-volatile storage medium 303 and an internal memory 304.

[0064] The non-volatile storage medium 303 can store an operating system 3031 and a computer program 3032. When the computer program 3032 is executed, it can cause the processor 302 to execute a control method for an air conditioner.

[0065] The processor 302 is used to provide computing and control capabilities to support the operation of the entire air conditioner 300.

[0066] The internal memory 304 provides an environment for the operation of the computer program 3032 in the non-volatile storage medium 303. When the computer program 3032 is executed by the processor 302, it can cause the processor 302 to execute a control method for an air conditioner.

[0067] The network interface 305 is used for network communication with other devices. Those skilled in the art can understand that Figure 8 the structure shown in

[0068] is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the air conditioner 300 to which the solution of the present invention is applied. The specific air conditioner 300 may include more or fewer components than those shown in the figure, or combine some components, or have a different component layout.

[0069] It should be understood that in the embodiment of the present invention, the processor 302 may be a central processing unit (CPU), and the processor 302 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0070] Those of ordinary skill in the art can understand that all or part of the processes in the methods of implementing the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a storage medium, and the storage medium is a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the process steps of the above method embodiments.

[0071] Therefore, the present invention also provides a storage medium. The storage medium can be a computer-readable storage medium. The storage medium stores a computer program. When the computer program is executed by a processor, the processor executes any of the embodiments of the control method of the above air conditioner.

[0072] The storage medium can be various computer-readable storage media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disc, etc., which can store program codes.

[0073] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0074] In several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0075] The steps in the method embodiments of the present invention can be adjusted, combined, and deleted according to actual needs. The units in the device embodiments of the present invention can be combined, divided, and deleted according to actual needs. In addition, the functional units in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0076] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing an air conditioner to execute all or part of the steps of the methods described in various embodiments of the present invention.

[0077] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0078] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications therein.

[0079] As described above, the above are only the specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A control method for an air conditioner, characterized in that, include: Acquiring a user's somatosensory state output by a somatosensory classification model, wherein the somatosensory classification model is a model constructed based on the user's nighttime manipulation behavior data; Determine the environmental change trend based on the energy consumption value and current working mode of the air conditioner; Detecting whether the energy compensation condition is met according to the environmental change trend, the user's current state, and the current compensation times; If the energy compensation condition is met, the air conditioner is compensated and adjusted according to the user's physical state.

2. The method according to claim 1, wherein Constructing the somatosensory classification model according to the manipulation behavior data of the user at night, including: Acquiring the recorded manipulation behavior data within a preset night time period; Dividing the preset night time period into a plurality of night sub-time periods; For the control behavior data in each of the nighttime sub-time periods, a sliding time window and machine learning technology are used to analyze the relationship between the control behavior data and the user's somatosensory state and the adjustment strategy, and the somatosensory classification model is constructed.

3. The method according to claim 1, wherein Determining the environmental change trend according to the energy consumption value and the current working mode of the air conditioner includes: Collecting the energy consumption value of the air conditioner, and calculating a plurality of energy consumption changes within a preset number of sampling periods according to the energy consumption value; The current operating mode of the air conditioner is acquired, and the environmental change trend is determined according to the current operating mode and the multiple energy consumption changes.

4. The method according to claim 3, wherein The environmental change trend includes a first environmental change trend, a second environmental change trend, and a third environmental change trend, and determining the environmental change trend according to the current working mode and the multiple energy consumption changes includes: If the plurality of energy consumption changes are continuously negative and the current working mode is the cooling mode, setting the environmental change trend as the first environmental change trend; If the plurality of energy consumption changes are continuously negative and the current working mode is a heating mode, setting the environmental change trend as the second environmental change trend; If a plurality of the energy consumption changes are continuously positive, the environment change trend is set as the third environment change trend.

5. The method according to claim 4, wherein The detecting whether the energy compensation condition is met according to the environmental change trend, the user's current state and the current compensation times includes: If the environmental change trend is the first environmental change trend, the current state of the user is a preset state, and no preset temperature adjustment instruction is received, it is determined that the initial energy compensation condition is met; If the initial energy compensation condition is met and the current number of compensations meets the number of compensations condition, it is determined that the energy compensation condition is met.

6. The method according to claim 5, characterized in that, The current number of compensations meets the compensation number condition, including: If the current number of compensation times is a first preset number of compensation times within the preset time period, determining that the current number of compensation times meets the compensation times condition; If the current number of compensation times is the second preset number of compensation times within the preset time period, the current time and the previous compensation adjustment time are obtained, and the difference between the current time and the compensation adjustment time is calculated to obtain a time difference; If the time difference is greater than the preset time difference, it is determined that the current compensation times meets the compensation times condition.

7. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: If a user reverse temperature adjustment instruction is received within the preset execution time, update the error compensation count; If the error compensation count is not less than the preset error compensation count, adjust the compensation logic of the air conditioner; If the user reverse temperature adjustment instruction is not received within the preset execution time, increase the compensation strategy weight of the air conditioner.

8. A control device for an air conditioner, characterized in that, It includes: An acquisition unit for acquiring the user's body sensation state output by the body sensation classification model, where the body sensation classification model is a model constructed based on the user's night control behavior data; A determination unit for determining the environmental change trend according to the energy consumption value and the current working mode of the air conditioner; A detection unit for detecting whether the energy compensation condition is satisfied according to the environmental change trend, the user's current state, and the current compensation count; An adjustment unit for, if the energy compensation condition is satisfied, performing compensation adjustment on the air conditioner according to the user's body sensation state.

9. An air conditioner, characterized in that, The air conditioner includes a memory and a processor, and a computer program is stored on the memory. When the processor executes the computer program, the method described in any one of claims 1-7 is implemented.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of claims 1-7 can be implemented.

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