Frequency adjusting method and device, air conditioner and storage medium

Abstract

The invention relates to a frequency adjusting method and device, an air conditioner and a storage medium, and relates to the technical field of air conditioners. Comprising the steps that the temperature of the indoor environment is predicted, the indoor predicted temperature is obtained, and the indoor predicted temperature is the expected indoor environment temperature; the deviation between the indoor predicted temperature and the indoor real temperature of the indoor environment is determined; according to the deviation, the operation frequency on an operation frequency curve of a compressor of the air conditioner is corrected downwards to the target frequency with the frequency adjustment amplitude; wherein the air conditioner is used for adjusting the temperature of the indoor environment, and the deviation and the frequency adjustment amplitude are in positive correlation. By using the frequency adjusting method provided by the invention, the electric energy consumed by the air conditioner can be effectively saved under the condition of ensuring the use experience of a user.

Description

Technical Field

[0001] The present disclosure relates to the technical field of air conditioners, and particularly to a frequency adjustment method, device, air conditioner and storage medium. Background Art

[0002] Currently, an air conditioner includes a compressor. The higher the operating frequency of the compressor, the faster the cooling speed of the air conditioner will be promoted.

[0003] In the related art, when the air conditioner cools, it will first control the compressor to operate at a higher operating frequency so that the actual indoor temperature can reach the set temperature set by the user more quickly. However, when the compressor operates at a higher operating frequency, it will consume a large amount of electric energy, and the energy-saving effect of the air conditioner is poor. Summary of the Invention

[0004] To overcome the problems existing in the related art, the present disclosure provides a frequency adjustment method, device, air conditioner and storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a frequency adjustment method is provided, including:

[0006] Predict the temperature of the indoor environment to obtain an indoor predicted temperature, where the indoor predicted temperature is the temperature of the indoor environment that is expected to be reached;

[0007] Determine the deviation between the indoor predicted temperature and the actual indoor temperature of the indoor environment;

[0008] According to the deviation, the operating frequency on the operating frequency curve of the compressor of the air conditioner is downwardly corrected to a target frequency by a frequency adjustment amplitude; wherein, the air conditioner is used to adjust the temperature of the indoor environment, and there is a positive correlation between the deviation and the frequency adjustment amplitude.

[0009] Optionally, the step of downwardly correcting the operating frequency on the operating frequency curve of the compressor of the air conditioner to the target frequency according to the deviation includes:

[0010] According to the deviation and the indoor predicted temperature, the operating frequency is downwardly corrected to the target frequency by the frequency adjustment amplitude.

[0011] Optionally, the step of downwardly correcting the operating frequency to the target frequency by the frequency adjustment amplitude according to the deviation and the indoor predicted temperature includes:

[0012] According to the deviation interval where the deviation is located and the temperature interval where the indoor predicted temperature is located, the operating frequency is downwardly corrected to the target frequency by the frequency adjustment amplitude.

[0013] Optionally, the deviation range includes a first deviation range, a second deviation range, a third deviation range, and a fourth deviation range; the minimum value of the first deviation range is greater than the maximum value of the second deviation range; the minimum value of the third deviation range is greater than the maximum value of the first deviation range, and the minimum value of the second deviation range is greater than the maximum value of the fourth deviation range;

[0014] wherein, the frequency adjustment amplitude corresponding to the first deviation range is greater than or equal to the frequency adjustment amplitude corresponding to the second deviation range; the frequency adjustment amplitude corresponding to the third deviation range is greater than or equal to the frequency adjustment amplitude corresponding to the fourth deviation range.

[0015] Optionally, the temperature range includes a first temperature range, a second temperature range, a third temperature range, and a fourth temperature range, the minimum value of the first temperature range is greater than the maximum value of the second temperature range, the minimum value of the second temperature range is greater than the maximum value of the third temperature range, and the minimum value of the third temperature range is greater than the maximum value of the fourth temperature range;

[0016] wherein, within the same deviation range, the frequency adjustment amplitude corresponding to the first temperature range is greater than the frequency adjustment amplitude corresponding to the second temperature range, the frequency adjustment amplitude corresponding to the second temperature range is greater than the frequency adjustment amplitude corresponding to the third temperature range, and the frequency adjustment amplitude corresponding to the third temperature range is greater than the frequency adjustment amplitude corresponding to the fourth temperature range.

[0017] Optionally, the target frequencies include a first target frequency, a second target frequency, and a third target frequency; adjusting the operating frequency on the operating frequency curve of the compressor of the air conditioner downward to the target frequency according to the deviation by the frequency adjustment amplitude includes any one of the following:

[0018] When the predicted indoor temperature is within the first temperature range, adjusting the operating frequencies on the upper limit frequency curve and the first fast frequency curve of the compressor to the first target frequency by the frequency adjustment amplitude corresponding to the first temperature range;

[0019] When the predicted indoor temperature is within the second temperature range, adjusting the frequencies on the second fast frequency curve and the first conventional frequency curve of the compressor to the second target frequency by the operating frequency adjustment amplitude corresponding to the second temperature range;

[0020] When the predicted indoor temperature is within the third temperature range, adjusting the operating frequencies on the fourth fast frequency curve and the second conventional frequency curve of the compressor to the third target frequency by the operating frequency adjustment amplitude corresponding to the third temperature range.

[0021] Optionally, the method further includes:

[0022] When the predicted indoor temperature is within the fourth temperature range, do not downwardly correct the fifth fast frequency and the third conventional frequency of the compressor.

[0023] Optionally, according to the deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located, downwardly correct the operating frequency to the target frequency with the frequency adjustment amplitude, including:

[0024] Determine the first target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located;

[0025] According to the deviation and the correction function corresponding to the first target deviation range and the temperature range, obtain the frequency adjustment amplitude;

[0026] With the frequency adjustment amplitude, downwardly adjust the operating frequency to the target frequency.

[0027] Optionally, according to the deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located, downwardly correct the operating frequency to the target frequency with the frequency adjustment amplitude, including:

[0028] Determine the second target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located;

[0029] With the frequency adjustment amplitude corresponding to the second target deviation range and the temperature range, downwardly adjust the operating frequency to the target frequency.

[0030] Optionally, the determining the second target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located includes:

[0031] When the deviation is outside the deviation range, correct the indoor actual temperature with a target correction value to obtain the predicted indoor temperature;

[0032] Determine the second target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located.

[0033] Optionally, the predicting the temperature of the indoor environment to obtain the predicted indoor temperature includes:

[0034] Use multiple indoor actual temperatures within a preset duration before the air conditioner is started and / or the predicted indoor temperature obtained from the previous prediction of the temperature prediction model as input parameters of the temperature prediction model to obtain the predicted indoor temperature for this prediction.

[0035] Optionally, using the multiple indoor actual temperatures within a preset duration before the air conditioner is started and the indoor predicted temperature obtained by the previous prediction of the temperature prediction model as input parameters of the temperature prediction model to obtain the indoor predicted temperature for this prediction includes:

[0036] Removing the first input parameter among the multiple input parameters, and adding the indoor predicted temperature obtained by the previous prediction of the temperature prediction model at the tail of the multiple input parameters as the input parameter for this prediction of the temperature prediction model to obtain the indoor predicted temperature for this time.

[0037] According to a second aspect of the embodiments of the present disclosure, there is provided a frequency adjustment device, including:

[0038] A prediction module configured to predict the temperature of the indoor environment to obtain an indoor predicted temperature, where the indoor predicted temperature is the temperature of the indoor environment expected to be reached;

[0039] A deviation module configured to determine the deviation between the indoor predicted temperature and the indoor actual temperature of the indoor environment;

[0040] A correction module configured to, according to the deviation, correct the operating frequency on the operating frequency curve of the compressor of the air conditioner downward to a target frequency by a frequency adjustment amplitude; where the air conditioner is used to adjust the temperature of the indoor environment, and there is a positive correlation between the deviation and the frequency adjustment amplitude.

[0041] According to a third aspect of the embodiments of the present disclosure, there is provided an air conditioner, including:

[0042] A processor;

[0043] A memory for storing processor-executable instructions;

[0044] Wherein, the processor is configured to:

[0045] Execute the steps of the frequency adjustment method provided in the first aspect of the embodiments of the present disclosure.

[0046] According to a fourth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the frequency adjustment method provided in the first aspect of the present disclosure are implemented.

[0047] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0048] Through the above technical solution, when there is a deviation between the predicted indoor temperature that conforms to the user's body feeling change and the actual indoor temperature, the amplitude of frequency adjustment will be adjusted according to the magnitude of the deviation, that is, the larger the deviation, the larger the amplitude of frequency adjustment, and the smaller the deviation, the smaller the amplitude of frequency adjustment. When the deviation between the predicted indoor temperature and the actual indoor temperature is large, the actual operating frequency of the compressor will be lowered to the target frequency with a large amplitude of frequency adjustment, so that the actual operating frequency of the compressor decreases, and the refrigeration speed of the compressor slows down to be closer to the desired refrigeration speed. Only after the refrigeration speed slows down can it be closer to the expected predicted indoor temperature.

[0049] First, after the actual operating frequency of the compressor is lowered, the refrigeration speed of the air conditioner slows down, which can make the actual indoor temperature reach the user's set temperature more slowly, make the change curve of the actual indoor temperature closer to the change curve of the predicted indoor temperature that adapts to the user's body feeling change, and improve the user experience; Second, after the actual operating frequency of the compressor is lowered, the rotational speed of the compressor decreases, thus reducing the power consumption and improving the energy-saving level of the air conditioner; Third, the present disclosure improves the energy-saving level of the air conditioner from the software aspect without the need to additionally arrange hardware to improve the energy-saving level of the air conditioner from the hardware aspect, thereby reducing the production cost of the air conditioner.

[0050] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments in line with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0052] Figure 1 is a flowchart of a frequency adjustment method shown according to an exemplary embodiment.

[0053] Figure 2 is a comparison schematic diagram of a predicted indoor temperature and an actual indoor temperature shown according to an exemplary embodiment.

[0054] Figure 3 is a schematic diagram of different operating frequency curves shown according to an exemplary embodiment.

[0055] Figure 4 is a schematic diagram of a corrected frequency curve obtained by downward correction of an upper limit frequency curve shown according to an exemplary embodiment.

[0056] Figure 5 is a comparison schematic diagram of an actual operating frequency and a desired operating frequency shown according to an exemplary embodiment.

[0057] Figure 6 It is a schematic diagram of a first target deviation range shown according to an exemplary embodiment.

[0058] Figure 7 It is a schematic diagram of a second target deviation range shown according to an exemplary embodiment.

[0059] Figure 8 It is a block diagram of a frequency adjustment device shown according to an exemplary embodiment.

[0060] Figure 9 It is a block diagram of a frequency adjustment device shown according to an exemplary embodiment. Detailed implementation manners

[0061] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0062] It should be noted that all actions of obtaining signals, information, or data in the present disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located and obtaining the authorization given by the owner of the corresponding device.

[0063] The energy efficiency of a variable-frequency air conditioner can be divided into several levels according to the air purification factor (ADF). The energy-saving level of an air conditioner is usually determined by two aspects: the hardware and software of the air conditioner. The APF value reflects the energy-saving level of the air conditioner hardware, while the energy-saving level of the air conditioner software needs to be reflected by the control algorithm of the air conditioner.

[0064] Currently, most air conditioner enterprises improve the energy-saving level of air conditioners from the aspect of air conditioner hardware. However, the improvement of the energy-saving level of air conditioner hardware will inevitably lead to an increase in the production cost of air conditioners. Therefore, the present disclosure is committed to starting from the software aspect to improve the energy-saving level of air conditioners.

[0065] In the related art, please refer to Figure 2 as shown Figure 2The black curve at the bottom is the temperature change curve of the actual indoor temperature when the air conditioner is cooling. After the user sets the set temperature, the air conditioner will control the compressor to work at a relatively high operating frequency, so that the actual indoor temperature quickly reaches the set temperature. However, if the operating frequency of the compressor is too high, an overshoot phenomenon will occur. The overshoot phenomenon can be understood as that after the actual indoor temperature reaches the user's set temperature, the actual indoor temperature will continue to drop. At this time, the air conditioner will control the operating frequency of the compressor to slow down, so that the actual indoor temperature slowly rises back to the set temperature. For example, if the set temperature is 16°C, when the air conditioner is cooling, the actual indoor temperature will quickly reach 16°C, then drop below 16°C, and finally rise back to around 16°C and stabilize at around 16°C.

[0066] In this process, on the one hand, if the actual operating frequency of the compressor is too high, it will cause the air conditioner to consume a large amount of energy, with a low energy-saving level, and it will also cause the actual indoor temperature to drop below the set temperature, resulting in energy waste; on the other hand, the rapid decrease in the actual indoor temperature caused by the too high actual operating frequency of the compressor does not meet the needs of some people. For example, for people with relatively weak physical constitutions, what they expect is that the actual indoor temperature slowly drops to the set temperature, rather than the actual indoor temperature quickly drops to the set temperature. And quickly dropping the actual indoor temperature to the set temperature will reduce the user experience of this part of the people.

[0067] Based on this, the present disclosure proposes a frequency adjustment method. Figure 1 It is a flowchart of a frequency adjustment method shown according to an exemplary embodiment, as Figure 1 shown. The frequency adjustment method is used in a controller and includes the following steps.

[0068] In step S11, the temperature of the indoor environment is predicted to obtain the predicted indoor temperature, and the predicted indoor temperature is the temperature of the indoor environment that is expected to be reached.

[0069] The temperature of the indoor environment can be predicted using a temperature prediction model. The predicted indoor temperature obtained by the temperature prediction model is an ideal indoor temperature that meets the user's expectations. The temperature prediction model is based on the actual indoor temperature within a preset time period before the air conditioner is started to predict the predicted indoor temperature within a future time period after the air conditioner is started. For example, please refer to Figure 2 shown. Figure 2 The black dot curve shown is the temperature change curve of the ideal indoor temperature that meets the user's expectations predicted by the temperature prediction model. The predicted indoor temperature in this change curve slowly drops to the set temperature, rather than, like the change curve of the actual indoor temperature, quickly dropping below the set temperature and then rising back to near the set temperature. Therefore, the phenomenon that the predicted indoor temperature is lower than the set temperature will not occur.

[0070] In step S12, determine the deviation between the predicted indoor temperature and the actual indoor temperature of the indoor environment.

[0071] The actual indoor temperature of the indoor environment can be detected by a temperature sensor. The actual indoor temperature in the present disclosure can be the curve of the indoor temperature change after the compressor operates at the uncorrected actual operating frequency.

[0072] Determining the deviation between the predicted indoor temperature and the actual indoor temperature means determining the deviation between the predicted indoor temperature and the actual indoor temperature at the same moment. For example, the temperature prediction model predicts that the predicted indoor temperature at the moment 10 minutes after the air conditioner is turned on is 31°C, and the temperature sensor detects that the actual indoor temperature is 29°C 10 minutes after the air conditioner is turned on. Then the corresponding deviation at 10 minutes after the air conditioner is turned on is 3.

[0073] The deviation represents the difference between the actual indoor temperature and the predicted indoor temperature in the room. The greater the deviation, the greater the distance between the actual indoor temperature in the room and the predicted indoor temperature expected by the user.

[0074] In step S13, according to the deviation, downwardly correct the operating frequency on the operating frequency curve of the compressor of the air conditioner to the target frequency with a frequency adjustment amplitude; wherein, the air conditioner is used to adjust the temperature of the indoor environment, and there is a positive correlation between the deviation and the frequency adjustment amplitude.

[0075] Please refer to Figure 3 As shown, the operating frequency curve of the compressor includes an upper limit frequency curve, a fast frequency curve, and a conventional frequency curve. The operating frequency on the upper limit frequency curve is greater than the operating frequency on the fast frequency curve, and the operating frequency on the fast frequency curve is greater than the operating frequency on the conventional frequency curve. The fast frequency curve includes different fast frequency curves, and different fast frequency curves will be selected according to different temperature differences and actual indoor temperatures; the conventional frequency curve also includes different conventional frequency curves, and different conventional frequency curves will also be selected according to different temperature differences and actual indoor temperatures.

[0076]

[0077] Table 1

[0078] Please refer to Table 1 above. Table 1 shows the initial operating frequency curves of different types of air conditioners. When determining the operating frequency curve currently used by the compressor, the temperature difference between the actual indoor temperature and the actual outdoor temperature can be determined first; then the frequency curve uniquely corresponding to the temperature difference and the actual indoor temperature can be determined, and this frequency curve can be any one of the upper limit frequency curve, the fast frequency curve, and the conventional frequency curve.

[0079] It can be understood that the above-mentioned first fast frequency curve, second fast frequency curve, third fast frequency curve and fourth fast frequency curve can be the same or different, and the first conventional frequency curve, second conventional frequency curve and third conventional frequency curve can also be the same or different. These frequency curves can be pre-configured according to actual situations, and the present disclosure places no restrictions thereon.

[0080] When performing this step, although the indoor real temperature is determined by the temperature sensor, the outdoor real temperature is not known, so the temperature difference between the indoor real temperature and the outdoor real temperature cannot be known either. Therefore, when adjusting the operating frequency curve of the compressor based on the deviation, the operating frequencies on the multiple operating frequency curves corresponding to the indoor real temperature are uniformly corrected downward by the frequency adjustment amplitude. In the subsequent logical judgment process, after knowing the outdoor real temperature, the temperature difference can be determined, and then a unique operating frequency curve can be determined. Then, the corrected frequency curve after being corrected downward by the frequency adjustment amplitude is determined, and then the operating frequency corresponding to the outdoor real temperature is found on the corrected operating frequency curve, and the compressor is controlled to operate with this operating frequency.

[0081] For example, as shown in Table 1 above, if the indoor real temperature is 35°C, then the operating frequency curve of the compressor corresponding to the indoor real temperature includes the upper limit frequency curve and the first fast frequency curve. When making corrections, the operating frequencies of these two types of operating frequency curves, namely the upper limit frequency curve and the first fast frequency curve, are uniformly corrected downward by the frequency adjustment amplitude to obtain the corrected upper limit frequency curve and the corrected first fast frequency curve.

[0082] If in the subsequent logical judgment process, referring to Table 1 above, it is determined that the outdoor real temperature is 38°C, then the temperature difference is determined to be 2, and the corrected upper limit frequency curve will be used to control the operating frequency of the compressor. And, referring to Figure 4 the corrected upper limit frequency curve shown, Figure 4 where the abscissa is the outdoor real temperature and the ordinate is the operating frequency of the compressor, then the corrected operating frequency corresponding to the outdoor real temperature of 38°C will be found from Figure 4 the corrected upper limit frequency curve shown, and the compressor will be controlled to operate with this corrected operating frequency.

[0083] Please refer to Figure 2 shown. Since the greater the operating frequency of the compressor, the faster the refrigeration speed and the faster the temperature change speed, and the indoor predicted temperature is the temperature change curve that conforms to the user's personalization predicted by the temperature prediction model, the temperature change curve predicted by the temperature prediction model in the same house space is an ideal temperature curve and will not change with the change of the compressor frequency.

[0084] Then, when the predicted indoor temperature remains unchanged, if the actual operating frequency of the compressor is faster than the expected operating frequency of the user at this time, the actual cooling speed of the air conditioner will be faster than the expected cooling speed, which will lead to an increasing deviation between the actual indoor temperature and the predicted indoor temperature. It should be noted that the constant predicted indoor temperature on the temperature change curve here does not mean that the temperature on the temperature change curve is the same value, but that the indoor ambient temperature at different moments on the temperature change curve is a fixed expected temperature.

[0085] Please refer to Figure 5 As shown, at this time, the operating frequency curve of the compressor can be corrected downward, which can also be understood as reducing the actual operating frequency of the compressor to be closer to the expected operating frequency, making the cooling speed of the air conditioner slower, so that the actual cooling speed of the air conditioner approaches the expected cooling speed. It can be understood as adjusting the lower black curve shown Figure 2 upward to be closer to the upper black dot curve.

[0086] Moreover, when the deviation between the predicted indoor temperature and the actual indoor temperature is larger, it indicates that the actual operating frequency of the compressor exceeds the expected operating frequency more. At this time, a larger frequency adjustment amplitude can be used to correct the actual operating frequency of the compressor downward to be closer to the expected operating frequency; when the deviation between the predicted indoor temperature and the actual indoor temperature is smaller, it indicates that the actual operating frequency of the compressor exceeds the expected operating frequency less. At this time, a smaller frequency adjustment amplitude can be used to correct the actual operating frequency of the compressor downward to be closer to the expected operating frequency.

[0087] It can be understood that the frequency adjustment method in the present disclosure can be applied in the open-loop stage of the air conditioner. The open-loop stage refers to the stage when the air conditioner just starts and needs to cool quickly. At this time, the air conditioner will control the actual indoor temperature to drop rapidly.

[0088] The present disclosure aims to slow down the cooling speed of the actual indoor temperature to the set temperature, improve the energy-saving level of the air conditioner while enhancing the user's cooling experience. When there is a deviation between the predicted indoor temperature that conforms to the user's body feeling change and the actual indoor temperature, the frequency adjustment amplitude will be adjusted according to the size of the deviation, that is, the larger the deviation, the larger the frequency adjustment amplitude, and the smaller the deviation, the smaller the frequency adjustment amplitude. When the deviation between the predicted indoor temperature and the actual indoor temperature is large, the actual operating frequency of the compressor will be lowered to the target frequency with a larger frequency adjustment amplitude, so that the actual operating frequency of the compressor decreases, and the cooling speed of the compressor becomes slower to be closer to the expected cooling speed. Only after the cooling speed becomes slower can it be closer to the expected predicted indoor temperature.

[0089] In a first aspect, after the actual operating frequency of the compressor is lowered, the cooling speed of the air conditioner becomes slower, allowing the actual indoor temperature to reach the user's set temperature more slowly, making the change curve of the actual indoor temperature closer to the change curve of the indoor predicted temperature adapted to the user's body sensation change, and improving the user experience; in a second aspect, after the actual operating frequency of the compressor is lowered, the rotational speed of the compressor decreases, thereby reducing power consumption and improving the energy-saving level of the air conditioner; in a third aspect, the present disclosure improves the energy-saving level of the air conditioner in the open-loop stage of the air conditioner from a software aspect without the need to additionally arrange hardware to improve the energy-saving level from a hardware aspect, thereby reducing the production cost of the air conditioner.

[0090] The following introduces the specific embodiments related to the above step S13, which are used to explain how to calculate the frequency adjustment amplitude and how to use the frequency adjustment amplitude to downwardly correct the operating frequency of the compressor to the target frequency.

[0091] The operating frequency can be downwardly corrected to the target frequency with the frequency adjustment amplitude according to the deviation and the indoor predicted temperature. Exemplarily, the operating frequency can be downwardly corrected to the target frequency with the frequency adjustment amplitude according to the deviation range where the deviation is located and the temperature range where the indoor predicted temperature is located.

[0092] Please refer to Figure 6 and Figure 7 as shown Figure 6 shows a schematic diagram of the first target deviation range, Figure 7 shows a schematic diagram of the second target deviation range. The deviation range where the deviation is located includes the first target deviation range and the second target deviation range. There is a direct relationship between the frequency adjustment amplitude corresponding to the first target deviation range and the deviation, which can also be understood as the frequency adjustment amplitude corresponding to the first deviation range changes with the change of the deviation. The first target deviation range includes the first deviation range and the second deviation range. The frequency adjustment amplitude corresponding to the second target deviation range is a preset amplitude, and the preset amplitude has no direct relationship with the deviation itself. The second target deviation range includes the third deviation range and the fourth deviation range.

[0093] Among the above first deviation range, second deviation range, third deviation range and fourth deviation range, the minimum value of the first deviation range is greater than the maximum value of the second deviation range, the minimum value of the third deviation range is greater than the maximum value of the first deviation range, and the minimum value of the second deviation range is greater than the maximum value of the fourth deviation range. Exemplarily, the first deviation range can be [1, 1.5], the second deviation range can be [0, 1), the third deviation range can be (1.5, +∞), and the fourth deviation range can be (-∞, 0). It can be seen that the deviation within the third deviation range is greater than the deviation within the first deviation range, the deviation within the first deviation range is greater than the deviation within the second deviation range, and the deviation within the second deviation range is greater than the deviation within the third deviation range.

[0094] Please refer to Figure 6 and Figure 7 As shown, the interval where the indoor predicted temperature is located includes a first temperature interval, a second temperature interval, a third temperature interval, and a fourth temperature interval. The minimum value of the first temperature interval is greater than the maximum value of the second temperature interval, the minimum value of the second temperature interval is greater than the maximum value of the third temperature interval, and the minimum value of the third temperature interval is greater than the maximum value of the fourth temperature interval. Exemplarily, the first temperature interval can be [35, +∞), the second temperature interval can be [30, 35), the third temperature interval can be [20, 30), and the fourth temperature interval can be (-∞, 20). It can be seen that the indoor predicted temperature in the first temperature interval is greater than the indoor predicted temperature in the second temperature interval, the indoor predicted temperature in the second temperature interval is greater than the indoor predicted temperature in the third temperature interval, and the indoor predicted temperature in the third temperature interval is greater than the indoor predicted temperature in the fourth temperature interval.

[0095] After determining the deviation interval where the deviation is located and the temperature interval where the indoor predicted temperature is located, the present disclosure will elaborate from the following several solutions on how to design the frequency adjustment amplitude so as to improve the user experience while also improving the energy-saving level of the air conditioner.

[0096] Solution A: Determine the first target deviation interval where the deviation is located and the temperature interval where the indoor predicted temperature is located; obtain the frequency adjustment amplitude according to the deviation and the correction function corresponding to the first target deviation interval and the temperature interval; and lower the operating frequency to the target frequency with the frequency adjustment amplitude.

[0097] The present disclosure can set a deviation range. When the deviation is within the deviation range, it indicates that the deviation between the indoor predicted temperature and the indoor actual temperature is within a controllable range. At this time, a correction function relationship between the deviation and the frequency adjustment amplitude can be established, and the frequency adjustment amplitude can be changed with the change of the deviation. Please refer to Figure 6 As shown, the deviation range can be [0, 1.5]. The interval within the deviation range is the first target deviation interval, and the first target deviation interval includes a first deviation interval and a second deviation interval.

[0098] Solution A includes at least one of the following scenarios:

[0099] The first scenario: When the deviation is within the first deviation interval and the indoor predicted temperature is within the first temperature interval, determine the correction function corresponding to the first deviation interval and the first temperature interval; input the deviation into the correction function to obtain the frequency adjustment amplitude, and lower the operating frequencies on the upper limit frequency curve of the compressor and the first fast frequency curve to the first target frequency with the frequency adjustment amplitude.

[0100] When the predicted indoor temperature is within the first temperature range [35, +∞), the operating frequency curve corresponding to this predicted temperature includes an upper limit frequency curve and a first rapid frequency curve. Therefore, the operating frequencies on the upper limit frequency curve and the first rapid frequency curve will be uniformly adjusted downward by a frequency adjustment amplitude to the first target frequency.

[0101] It can be understood that when the deviation is within the first deviation range and the predicted indoor temperature is within the first temperature range, the correction function includes a first correction function and a second correction function. The first correction function is used to correct the upper limit frequency curve, and the second correction function is used to correct the first rapid frequency curve.

[0102] Exemplarily, taking the first deviation range as [1, 1.5] and the first temperature range as [35, +∞) as an example, when the deviation is within [1, 1.5] and the predicted indoor temperature is within [35, +∞), the corresponding first correction function is 10*ΔT 偏差 , and the second correction function is 5*ΔT 偏差 , where ΔT 偏差 is the deviation. Assuming the deviation is 1, the frequency adjustment amplitude used to correct the upper limit frequency curve is 10, and the operating frequency on the upper limit frequency curve will uniformly decrease by 10; the frequency adjustment amplitude used to correct the first rapid frequency curve is 5, and the operating frequency on the first rapid frequency curve will uniformly decrease by 5.

[0103] It can be understood that when the deviation is within [1, 1.5], the first correction function is 10*ΔT 偏差 , and the frequency adjustment amplitude for correcting the upper limit frequency curve can be limited within [10, 15]; the second correction function is 5*ΔT 偏差 , and the frequency adjustment amplitude for correcting the first rapid frequency curve can be limited within [5, 7.5]. It can be seen that when the deviation is within the first deviation range and the predicted indoor temperature is within the first temperature range, the frequency adjustment amplitude for correcting the upper limit frequency curve is greater than the frequency adjustment amplitude for correcting the first rapid frequency curve.

[0104] The reason for designing the frequency adjustment amplitude for correcting the upper limit frequency curve to be greater than that for correcting the first fast frequency curve is as follows: Since the operating frequency on the upper limit frequency curve is greater than the operating frequency on the first fast frequency curve, the difference between the air-conditioning cooling speed when the compressor operates at the upper limit frequency curve and the expected cooling speed is greater, and the difference between the air-conditioning cooling speed when the compressor operates at the first fast frequency curve and the expected cooling speed is smaller. At this time, the constant 10 in the first correction function can be set to be greater than the constant 5 in the second correction function, so that the frequency adjustment amplitude for downward correction of the operating frequency on the upper limit frequency curve is greater than the frequency adjustment amplitude for downward correction of the operating frequency on the first fast frequency curve. In this way, the cooling speed of the compressor after correcting the upper limit frequency curve with a larger frequency adjustment amplitude can be closer to the expected cooling speed, and the actual indoor temperature after correction can be closer to the predicted indoor temperature. Since the difference between the operating frequency on the first fast frequency curve and the expected operating frequency on the expected frequency curve is small, even if a smaller frequency adjustment amplitude is used, the operating frequency on the first fast frequency curve can be corrected to be close to the expected operating frequency, and the corrected first fast frequency curve can also be closer to the expected cooling speed.

[0105] In the second scenario, when the deviation is within the first deviation range and the predicted indoor temperature is within the second temperature range, determine the correction function corresponding to the first deviation range and the second temperature range; input the deviation into the correction function to obtain the frequency adjustment amplitude, and adjust the operating frequencies of the second fast frequency curve and the first normal frequency curve of the compressor to the second target frequency with the frequency adjustment amplitude.

[0106] When the predicted indoor temperature is within the second temperature range [30, 35), the operating frequency curves corresponding to the predicted indoor temperature include the second fast frequency curve and the first normal frequency curve. Therefore, the operating frequencies of the second fast frequency curve and the first normal frequency curve will be adjusted to the second target frequency.

[0107] It can be understood that when the deviation is within the first deviation range and the predicted indoor temperature is within the first temperature range, the correction function includes the first correction function and the second correction function. The first correction function is used to correct the second fast frequency curve, and the second correction function is used to correct the first normal frequency curve.

[0108] Exemplarily, taking the first deviation range as [1, 1.5] and the second temperature range as [30, 35) as an example, when the deviation is within [1, 1.5] and the predicted indoor temperature is within [30, 35), the corresponding first correction function is 10*ΔT 偏差 , and the second correction function is 5*ΔT 偏差 , ΔT 偏差It is the deviation. Assuming the deviation is 1, the frequency adjustment amplitude for correcting the second fast frequency curve is 10, and the operating frequency on the second fast frequency curve will uniformly decrease by 10; the frequency adjustment amplitude for correcting the first normal frequency curve is 5, and the operating frequency on the first normal frequency curve will uniformly decrease by 5.

[0109] It can be understood that when the deviation is in the range of [1, 1.5], the first correction function is 10*ΔT 偏差 , the frequency adjustment amplitude for correcting the second fast frequency curve can be limited within [10, 15]; the second correction function is 5*ΔT 偏差 , the frequency adjustment amplitude for correcting the first normal frequency curve can be limited within [5, 7.5]. It can be seen that when the deviation is in the first deviation interval and the indoor predicted temperature is in the second temperature interval, the frequency adjustment amplitude for correcting the second fast frequency curve is greater than that for correcting the first normal frequency curve.

[0110] The reason for setting the frequency adjustment amplitude for correcting the second fast frequency curve to be greater than that for correcting the first normal frequency curve is as follows: Since the operating frequency on the second fast frequency curve is greater than the operating frequency on the first normal frequency curve, the difference between the air-conditioning cooling speed when the compressor operates at the second fast frequency curve and the desired cooling speed is larger, and the difference between the air-conditioning cooling speed when the compressor operates at the first normal frequency curve and the desired cooling speed is smaller. At this time, the constant 10 in the first correction function can be set to be larger than the constant 5 in the second correction function, so that the frequency adjustment amplitude for downward correction of the operating frequency on the second fast frequency curve is larger than that for downward correction of the operating frequency on the first normal frequency curve. In this way, the cooling speed of the compressor after correcting the second fast frequency curve with a larger frequency adjustment amplitude can be closer to the desired cooling speed, and the corrected indoor actual temperature can be closer to the indoor predicted temperature. And since the difference between the operating frequency on the first fast frequency curve and the desired operating frequency on the desired frequency curve is relatively small, even if a smaller frequency adjustment amplitude is used, the operating frequency on the first fast frequency curve can be corrected to be close to the desired operating frequency, and the corrected first fast frequency curve can also be closer to the desired cooling speed, thereby making the corrected indoor actual temperature also close to the indoor predicted temperature.

[0111] In the third scenario, when the deviation is in the first deviation interval and the indoor predicted temperature is in the third temperature interval, determine the correction function corresponding to the first deviation interval and the third temperature interval; input the deviation into the correction function to obtain the frequency adjustment amplitude, and adjust the operating frequencies on the third fast frequency curve and the second normal frequency curve of the compressor to the third target frequency with the frequency adjustment amplitude.

[0112] When the predicted indoor temperature is within the third temperature range [20, 30), the operating frequency curve corresponding to the predicted indoor temperature includes a third fast frequency curve and a second normal frequency curve. Therefore, the operating frequencies on the third fast frequency curve and the second normal frequency curve will be adjusted to the third target frequency.

[0113] It can be understood that when the deviation is within the first deviation range and the predicted indoor temperature is within the third temperature range, the correction function is the second correction function, and the second correction function is used to correct the third fast frequency curve and the second normal frequency curve.

[0114] Exemplarily, taking the first deviation range as [1, 1.5] and the third temperature range as [20, 30) as an example, when the deviation is within [1, 1.5] and the predicted indoor temperature is within [20, 30), the corresponding second correction function is 5*ΔT 偏差 , ΔT 偏差 is the deviation. Assuming the deviation is 1, the frequency adjustment amplitude for correcting the third fast frequency curve and the second normal frequency curve is 5, and the operating frequencies on the third fast frequency curve and the second normal frequency curve will uniformly decrease by 5.

[0115] In the fourth scenario, when the deviation is within the first deviation range and the predicted indoor temperature is within the fourth temperature range, the fourth fast frequency curve and the third normal frequency curve are not corrected downward.

[0116] When the predicted indoor temperature is within the third temperature range (-∞, 20), the operating frequency curve corresponding to the predicted indoor temperature includes a fourth fast frequency curve and a third normal frequency curve. Therefore, the operating frequencies on the fourth fast frequency curve and the third normal frequency curve will not be corrected.

[0117] Please refer to Figure 2 As shown, when the air conditioner controls the indoor real temperature to be about to reach the set temperature, the air conditioner will control the compressor to work slackly at a lower operating frequency to control the indoor real temperature to slowly decrease to the set temperature. When the predicted indoor temperature is within the third temperature range, it means that the predicted indoor temperature is close to the set temperature and the predicted indoor temperature is about to reach the set temperature. At this time, the operating frequency of the compressor is low. If the fourth fast frequency curve and the third normal frequency curve are still corrected downward, the already low operating frequency will be even lower, which is manifested in the user experience that the user will feel that the indoor real temperature cannot reach the set temperature for a long time or the air conditioner stops cooling, resulting in a lower user experience.

[0118] Based on this, when the deviation is within the first deviation range and the predicted indoor temperature is within the fourth temperature range, it is determined that the compressor of the air conditioner is in a slack working state with a low operating frequency, and the operating frequency of the compressor is no longer corrected downward, thereby avoiding the problem of poor user experience caused by the reduction of the operating frequency.

[0119] In the fifth scenario, when the deviation is within the second deviation range and the predicted indoor temperature is within the first temperature range, a correction function corresponding to the second deviation range and the first temperature range is determined; the deviation is input into the correction function to obtain a frequency adjustment amplitude, and the operating frequencies on the upper limit frequency curve and the first rapid frequency curve of the compressor are adjusted downward to the first target frequency with the frequency adjustment amplitude.

[0120] When the deviation is within the first deviation range and the predicted indoor temperature is within the first temperature range, the correction function is the third correction function, and the third correction function is used to correct the upper limit frequency curve and the first rapid frequency curve.

[0121] Exemplarily, taking the second deviation range as [0, 1) and the first temperature range as [35, +∞) as an example, when the deviation is within [0, 1) and the predicted indoor temperature is within [35, +∞), the corresponding third correction function is 5 + 5 * ΔT 偏差 , ΔT 偏差 is the deviation. Assuming the deviation is 0.5, the frequency adjustment amplitude obtained for correcting the upper limit frequency curve and the first rapid frequency curve is 7.5, and the operating frequencies on the upper limit frequency curve and the first rapid frequency curve will uniformly decrease by 7.5.

[0122] It can be understood that when the deviation is within [0, 1), the third correction function is 5 + 5 * ΔT 偏差 , then the frequency adjustment amplitude for correcting the upper limit frequency curve and the first rapid frequency curve can be limited within [5, 10).

[0123] In the sixth scenario, when the deviation is within the second deviation range and the predicted indoor temperature is within the second temperature range, a correction function corresponding to the second deviation range and the second temperature range is determined; the deviation is input into the correction function to obtain a frequency adjustment amplitude, and the operating frequencies on the second rapid frequency curve and the first conventional frequency curve of the compressor are adjusted to the second target frequency with the frequency adjustment amplitude.

[0124] When the deviation is within the second deviation range and the predicted indoor temperature is within the second temperature range, the correction function is the third correction function, and the third correction function is used to correct the second rapid frequency curve and the first conventional frequency curve.

[0125] Exemplarily, taking the second deviation interval as [0, 1) and the second temperature interval as [30, 35) as an example, when the deviation is within [0, 1) and the predicted indoor temperature is within [30, 35), the corresponding third correction function is 5 + 5 * ΔT 偏差 , ΔT 偏差 is the deviation. Assuming the deviation is 0.5, the frequency adjustment amplitude used to correct the second fast frequency curve and the first conventional frequency curve is 7.5, and the operating frequencies on the second fast frequency curve and the first conventional frequency curve will uniformly decrease by 7.5.

[0126] It can be understood that when the deviation is within [0, 1), the third correction function is 5 + 5 * ΔT 偏差 , then the frequency adjustment amplitude for correcting the second fast frequency curve and the first conventional frequency curve can be restricted within [5, 10).

[0127] In the seventh scenario, when the deviation is within the second deviation interval and the predicted indoor temperature is within the third temperature interval, determine the correction function corresponding to the second deviation interval and the third temperature interval; input the deviation into the correction function to obtain the frequency adjustment amplitude, and adjust the operating frequencies on the third fast frequency curve and the second conventional frequency curve of the compressor to the second target frequency with the frequency adjustment amplitude.

[0128] When the deviation is within the second deviation interval and the predicted indoor temperature is within the third temperature interval, the correction function is the third correction function, and the third correction function is used to correct the third fast frequency curve and the second conventional frequency curve.

[0129] Exemplarily, taking the second deviation interval as [0, 1) and the third temperature interval as [20, 30) as an example, when the deviation is within [0, 1) and the predicted indoor temperature is within [20, 30), the corresponding third correction function is 5 + 5 * ΔT 偏差 , ΔT 偏差 is the deviation. Assuming the deviation is 0.5, the frequency adjustment amplitude used to correct the third fast frequency curve and the second conventional frequency curve is 7.5, and the operating frequencies on the third fast frequency curve and the second conventional frequency curve will uniformly decrease by 7.5.

[0130] It can be understood that when the deviation is within [0, 1), the third correction function is 5 + 5 * ΔT 偏差 , then the frequency adjustment amplitude for correcting the third fast frequency curve and the second conventional frequency curve can be restricted within [5, 10).

[0131] In the eighth scenario, when the deviation is within the second deviation interval and the predicted indoor temperature is within the fourth temperature interval, do not perform downward correction on the fourth fast frequency curve and the third conventional frequency curve.

[0132] The solution for the eighth scenario is similar to that of the fourth scenario above and will not be elaborated here.

[0133] Solution B: Determine the second target deviation range where the deviation is located and the temperature range where the indoor predicted temperature is located; adjust the amplitude according to the frequency corresponding to the second target deviation range and the temperature range, and lower the operating frequency to the target frequency.

[0134] The present disclosure can set a deviation range. When the deviation is outside the deviation range, it indicates that the deviation between the indoor predicted temperature and the indoor actual temperature is not within the controllable range, and the credibility of this deviation is relatively low. In this case, there is no need to establish a correction function relationship between the deviation and the frequency adjustment amplitude. Please refer to Figure 7 As shown, when the deviation is not within the first deviation range and not within the second deviation range, it indicates that the deviation is outside the deviation range. The range outside the deviation range is the second target deviation range, and the second target deviation range includes the third deviation range and the fourth deviation range.

[0135] Solution B includes at least one of the following scenarios:

[0136] In the first scenario, when the deviation is within the third deviation range and the indoor predicted temperature is within the first temperature range, determine the frequency adjustment amplitude corresponding to the third deviation range and the first temperature range; adjust the operating frequency on the upper limit frequency curve and the first fast frequency curve of the compressor downward to the first target frequency according to the frequency adjustment amplitude.

[0137] It can be understood that when the deviation is within the third deviation range and the indoor predicted temperature is within the first temperature range, the frequency adjustment amplitude includes a first amplitude and a second amplitude, the first amplitude is greater than the second amplitude, the first amplitude is used to correct the upper limit frequency curve, and the second amplitude is used to correct the first fast frequency curve.

[0138] Exemplarily, taking the third deviation range as (1.5, +∞) and the first temperature range as [35, +∞) as an example, the first amplitude is 15, the second amplitude is 10, the operating frequency on the upper limit frequency curve will be uniformly decreased by 15, and the operating frequency on the first fast frequency curve will be uniformly decreased by 10.

[0139] In this scenario, the reason for setting the first amplitude to be greater than the second amplitude is the same as the reason for designing the frequency adjustment amplitude for correcting the upper limit frequency curve to be greater than the frequency adjustment amplitude for correcting the first fast frequency curve in the first scenario of Solution A above, and will not be elaborated here.

[0140] In the second scenario, when the deviation is within the third deviation range and the predicted indoor temperature is within the second temperature range, determine the frequency adjustment amplitude corresponding to the third deviation range and the second temperature range; adjust the operating frequencies on the second fast frequency curve and the first conventional frequency curve of the compressor downward by the frequency adjustment amplitude to the second target frequency.

[0141] It can be understood that when the deviation is within the third deviation range and the predicted indoor temperature is within the second temperature range, the frequency adjustment amplitude includes a second amplitude and a third amplitude. The second amplitude is greater than the third amplitude. The second amplitude is used to correct the second fast frequency curve, and the third amplitude is used to correct the first conventional frequency curve.

[0142] Exemplarily, taking the third deviation range as (1.5, +∞) and the second temperature range as [30, 35) as an example, the second amplitude is 10 and the third amplitude is 5. The operating frequencies on the second fast frequency curve will be uniformly decreased by 10, and the operating frequencies on the first conventional frequency curve will be uniformly decreased by 5.

[0143] In this scenario, the reason for setting the second amplitude to be greater than the third amplitude is the same as the reason for designing the frequency adjustment amplitude for correcting the second fast frequency curve to be greater than the frequency adjustment amplitude for correcting the first conventional frequency curve in the second scenario of the above Scheme A, and will not be elaborated here.

[0144] In the third scenario, when the deviation is within the third deviation range and the predicted indoor temperature is within the third temperature range, determine the frequency adjustment amplitude corresponding to the third deviation range and the third temperature range; adjust the operating frequencies on the third fast frequency curve and the second conventional frequency curve of the compressor downward by the frequency adjustment amplitude to the third target frequency.

[0145] It can be understood that when the deviation is within the third deviation range and the predicted indoor temperature is within the third temperature range, the frequency adjustment amplitude is the third amplitude, and the third amplitude is used to correct the third fast frequency curve and the second conventional frequency curve.

[0146] Exemplarily, taking the third deviation range as (1.5, +∞) and the third temperature range as [20, 30) as an example, the third amplitude is 5. The operating frequencies on the third fast frequency curve and the second conventional frequency curve will be uniformly decreased by 5.

[0147] In the fourth scenario, when the deviation is within the third deviation range and the predicted indoor temperature is within the fourth temperature range, do not perform downward correction on the fourth fast frequency curve and the third conventional frequency curve.

[0148] In the first to fourth scenarios of the above-mentioned Solution B, when the deviation is outside the deviation range, the indoor predicted temperature is obtained by correcting the indoor actual temperature with the target correction value. Subsequently, the obtained indoor predicted temperature is compared with each different temperature range to determine their magnitudes.

[0149] For example, taking the deviation within the third deviation interval, where the third deviation interval is (1.5, +∞) and the target correction value is 1.5, 1.5 can be added to the indoor actual temperature to obtain the indoor predicted temperature.

[0150] The reason for such a design is that when the deviation between the indoor predicted temperature and the indoor actual temperature is greater than 1.5, it indicates that the indoor predicted temperature predicted by the temperature prediction model deviates significantly from the indoor actual temperature, and there is a problem with the authenticity of the indoor predicted temperature predicted by the temperature prediction model. In this case, instead of using the indoor predicted temperature predicted by the temperature prediction model, 1.5 can be added to the indoor actual temperature as the indoor predicted temperature, thereby ensuring the accuracy and practicality of the indoor predicted temperature.

[0151] In the fifth scenario, when the deviation is within the fourth deviation interval and the indoor predicted temperature is within the first temperature range, determine the frequency adjustment amplitude corresponding to the fourth deviation interval and the first temperature range; adjust the operating frequencies on the upper limit frequency curve and the first fast frequency curve of the compressor downward to the first target frequency using the frequency adjustment amplitude.

[0152] It can be understood that when the deviation is within the fourth deviation interval and the indoor predicted temperature is within the first temperature range, the frequency adjustment amplitude is the third amplitude, and the third amplitude is used to correct the operating frequencies on the upper limit frequency curve and the first fast frequency curve.

[0153] For example, taking the fourth deviation interval as (-∞, 0) and the first temperature range as [35, +∞), the third amplitude is 5, and the operating frequencies on the upper limit frequency curve and the first fast frequency curve will be uniformly decreased by 5.

[0154] In the sixth scenario, when the deviation is within the fourth deviation interval and the indoor predicted temperature is within the second temperature range, determine the frequency adjustment amplitude corresponding to the fourth deviation interval and the second temperature range; adjust the operating frequencies on the second fast frequency curve and the first normal frequency curve of the compressor downward to the second target frequency using the frequency adjustment amplitude.

[0155] It can be understood that when the deviation is within the fourth deviation interval and the indoor predicted temperature is within the second temperature range, the frequency adjustment amplitude is the third amplitude, and the third amplitude is used to correct the operating frequencies on the second fast frequency curve and the first normal frequency curve.

[0156] Exemplarily, taking the fourth deviation interval as (-∞, 0) and the second temperature interval as [30, 35) as an example, the third amplitude is 5, and the operating frequencies on the second fast frequency curve and the first conventional frequency curve will uniformly decrease by 5.

[0157] In the seventh scenario, when the deviation is within the fourth deviation interval and the predicted indoor temperature is within the third temperature interval, determine the frequency adjustment amplitude corresponding to the fourth deviation interval and the third temperature interval; use the frequency adjustment amplitude to downward adjust the operating frequencies on the third fast frequency curve and the second conventional frequency curve to three target frequencies.

[0158] It can be understood that when the deviation is within the fourth deviation interval and the predicted indoor temperature is within the third temperature interval, the frequency adjustment amplitude is the third amplitude, and the third amplitude is used to correct the operating frequencies on the third fast frequency curve and the second conventional frequency curve.

[0159] Exemplarily, taking the fourth deviation interval as (-∞, 0) and the third temperature interval as [20, 30) as an example, the third amplitude is 5, and the operating frequencies on the third fast frequency curve and the second conventional frequency curve will uniformly decrease by 5.

[0160] In the eighth scenario, when the deviation is within the fourth deviation interval and the predicted indoor temperature is within the fourth temperature interval, do not correct the fourth fast frequency curve and the third conventional frequency curve.

[0161] In the fifth to eighth scenarios of the above Scheme B, when the deviation is outside the deviation range, the target correction value will be used to correct the indoor real temperature to obtain the predicted indoor temperature. Subsequently, the obtained predicted indoor temperature will be compared with each different temperature interval to determine the size.

[0162] Exemplarily, taking the deviation within the fourth deviation interval, the fourth deviation interval as (-∞, 0), and the target correction value as 0.5 as an example, 0.5 can be added to the indoor real temperature to obtain the predicted indoor temperature.

[0163] The reason for this design is as follows: When the deviation between the predicted indoor temperature and the actual indoor temperature is less than 0, it indicates that the predicted indoor temperature obtained by the temperature prediction model is less than the actual indoor temperature. However, this disclosure can only correct and increase the actual indoor temperature to be close to the predicted indoor temperature on the basis of assuming that the predicted indoor temperature is greater than the actual indoor temperature. It can also be understood as correcting the operating frequency of the compressor downward to be close to the desired operating frequency. If the predicted indoor temperature is less than the actual indoor temperature, the downward correction scheme of the compressor operating frequency cannot be successfully implemented. Therefore, in this case, 0.5 can be added to the actual indoor temperature to make the predicted indoor temperature greater than the actual indoor temperature, so that the downward correction of the compressor operating frequency can continue, and the actual indoor temperature can rise to be close to the predicted indoor temperature. Moreover, adding a target correction value of 0.5 to the actual indoor temperature will not affect the user experience.

[0164] In the above Scheme A and Scheme B, by establishing a correction function relationship between the deviation and the frequency correction amplitude in the first target deviation interval, and establishing different preset amplitudes in the second target deviation interval, the ultimate goal is to achieve the following rules, so as to improve the user experience and the energy-saving level of the air conditioner.

[0165] The first rule: The frequency adjustment amplitude corresponding to the first deviation interval is greater than or equal to the frequency adjustment amplitude corresponding to the second deviation interval; The frequency adjustment amplitude corresponding to the third deviation interval is greater than or equal to the frequency adjustment amplitude corresponding to the fourth deviation interval.

[0166] Please refer to Figure 6 As shown, the frequency adjustment amplitude corresponding to the first deviation interval [1, 1.5] varies within the interval [5, 15], and the frequency adjustment amplitude corresponding to the second deviation interval [0, 1) varies within the interval [5, 10]. The reason for designing the frequency adjustment amplitude corresponding to the first deviation interval to be greater than or equal to the frequency adjustment amplitude corresponding to the second deviation interval is as follows: Since the deviation between the predicted indoor temperature and the actual indoor temperature in the first deviation interval is greater than the deviation between the predicted indoor temperature and the actual indoor temperature in the second deviation interval, assuming that the predicted indoor temperature remains unchanged, because the actual operating frequency of the compressor in the first deviation interval is greater than the actual operating frequency of the compressor in the second deviation interval, the deviation in the first deviation interval is greater than the deviation in the second deviation interval. Therefore, the frequency adjustment amplitude corresponding to the first deviation interval can be set larger, so that the actual operating frequency corresponding to the second deviation interval can be adjusted downward more, and the actual operating frequency corresponding to the second deviation interval can be adjusted downward less, so as to be closer to the desired operating frequency.

[0167] Similarly, the reason for the frequency adjustment amplitude corresponding to the third deviation interval being greater than or equal to the frequency adjustment amplitude of the fourth deviation interval is the same, and will not be elaborated here.

[0168] The second rule: within the same deviation range, the frequency adjustment amplitude corresponding to the first temperature range is greater than that corresponding to the second temperature range, the frequency adjustment amplitude corresponding to the second temperature range is greater than that corresponding to the third temperature range, and the frequency adjustment amplitude corresponding to the third temperature range is greater than that corresponding to the fourth temperature range.

[0169] Please refer to Figure 6 As shown, taking the second deviation range [0, 1) as an example, within the second deviation range, although the correction functions corresponding to the first temperature range [35, +∞), the second temperature range [30, 35), the third temperature range [20, 30), and the fourth temperature range (-∞, 20) are all 5 + 5 * 5 * ΔT 偏差 . However, please refer to Figure 2 As shown, as the predicted indoor temperature and the actual indoor temperature decrease, both the predicted indoor temperature and the actual indoor temperature gradually approach the user-set temperature, and the deviation between them gradually decreases. Therefore, the deviations within the first temperature range [35, +∞), the second temperature range [30, 35), the third temperature range [20, 30), and the fourth temperature range (-∞, 20) all gradually decrease. After substituting into the correction function, the obtained frequency adjustment amplitudes also gradually decrease. The reason for such a design is that since the predicted indoor temperature is the predicted actual indoor temperature and the predicted indoor temperature itself is close to the actual indoor temperature, when the predicted indoor temperature is relatively high, the actual indoor temperature is usually also relatively high. When the actual indoor temperature is relatively high, based on the refrigeration characteristics of the compressor, it will operate at a relatively high actual operating frequency to achieve rapid refrigeration.

[0170] Since the actual operating frequency of the compressor is relatively high, there is more room to lower the actual operating frequency of the compressor. And for some people with relatively weak physical constitutions, it is not necessary for the compressor to operate at a relatively high actual operating frequency. Therefore, when the actual operating frequency of the compressor is relatively high, a larger frequency adjustment amplitude will be used to downwardly adjust the actual operating frequency; when the actual operating frequency of the compressor is relatively low, a smaller frequency adjustment amplitude will be used to downwardly adjust the actual operating frequency. Eventually, the actual operating frequency of the compressor approaches the expected operating frequency, and further makes the actual indoor temperature closer to the predicted indoor temperature that conforms to the human skin feeling.

[0171] Next, specific embodiments related to the above step S11 will be introduced. This specific embodiment is used to illustrate how the temperature prediction model predicts the predicted indoor temperature.

[0172] First, the training process of the temperature prediction model is introduced. This training process includes: using the indoor historical temperature within a preset duration before the air conditioner is started as training samples, and using the indoor actual temperature detected by the temperature sensor after the air conditioner is started as labels to train the temperature prediction model; in the case where the error between the predicted indoor temperature predicted by the temperature prediction model and the indoor actual temperature does not meet the convergence condition, updating the network parameters of the temperature prediction model until the error between the predicted indoor temperature output by the temperature prediction model and the indoor actual temperature meets the convergence condition.

[0173] The temperature prediction model is an autoregressive integrated moving average model (ARIMA). The ARIMA model can infer the indoor actual temperature in the future for a period of time based on the indoor historical temperature.

[0174] The modeling process of the temperature prediction model includes:

[0175] (1) Air conditioner data preprocessing, which includes missing value filling processing and data normalization processing.

[0176] For missing value filling, the indoor historical temperature within a preset duration before the air conditioner is started can be obtained first. There may be cases of missing data in this time series of indoor historical temperature. For example, there may be a case where the indoor historical temperature at a certain time point is missing. Therefore, the average value can be obtained by averaging the multiple obtained indoor historical temperatures, and the missing indoor historical temperature can be replaced with the average value.

[0177] For data normalization processing, since the dimensions and magnitudes of each data are different, before model training, the indoor historical temperature in the time series can be normalized to data within the range of [0, 1], so as to ensure that the subsequent construction of the temperature prediction model can have a faster convergence speed.

[0178] (2) Data division.

[0179] A part of the obtained indoor historical temperature can be divided into training samples to train the temperature prediction model; another part of the indoor historical temperature can be divided into test samples to test the prediction performance of the temperature prediction model.

[0180] For example, 70% of the indoor historical temperature in the time series can be used as training samples, and 30% of the indoor historical temperature in the time series can be used as test samples.

[0181] (3) Stationarity check. Since the temperature prediction model is an ARIMA model, unit root test can be used. The purpose of unit root test is to determine whether the indoor historical temperature of the time series needs to be differenced to achieve stationarity. The unit root test methods include the following two methods.

[0182] Method A, Augmented Dickey-Fuller (ADF) test. The ADF test determines the stationarity of the time series by calculating the existence of unit roots. If the test result shows the existence of unit roots, it indicates that the indoor historical temperature of the time series is non-stationary.

[0183] Method B, Phillips-Perron (PP) test. The PP test is similar to the ADF test and determines the existence of unit roots by regressing the residual series.

[0184] These two unit root test methods can help determine the parameters in the temperature prediction model and whether differencing operations need to be performed on the indoor historical temperature of the time series. If the unit root test result indicates that the indoor historical temperature of the time series is non-stationary, it is usually differenced to eliminate non-stationarity and then applied to the temperature prediction model for modeling and prediction.

[0185] (4) Stationarity processing. If the indoor historical temperature of the time series is non-stationary, then the indoor historical temperature needs to be processed for stationarity. Usually, the differencing method is selected for stationarity processing.

[0186] The differencing method is applicable to time series data with obvious trends. For example, the indoor historical temperature of the time series can eliminate non-stationarity by performing first-order differencing or higher-order differencing on the indoor historical temperature of the time series.

[0187] First-order differencing refers to calculating the difference between adjacent indoor historical temperatures, that is, the difference between the next indoor historical temperature and the previous indoor historical temperature. If the difference series after first-order differencing no longer shows an obvious change trend, it can be considered that the indoor historical temperature of the time series is already a stationary series.

[0188] For higher-order differencing, similar operations can be performed, repeatedly differencing the indoor historical temperature of the differenced time series until a stationary series is obtained.

[0189] (5) Determination of the order of the temperature prediction model.

[0190] The model order can be determined based on the autocorrelation function (ACF) and the partial autocorrelation coefficient (PACF). In this solution, the order of the temperature prediction model can be determined based on the BIC criterion. The order at which the criterion function has the minimum value is the optimal order of the temperature prediction model. The expression of the BIC (Bayesian Information Criterion) is as follows:

[0191]

[0192] In the above formula, is the maximum likelihood estimation function of the residual variance, M is the total number of unknown parameters of the model, and N is the number of sample sequences.

[0193] (6) Parameter estimation. The maximum likelihood estimation method can be used to estimate the initial network parameters of the temperature prediction model, and the network parameters include weight coefficients, etc.

[0194] (7) Adaptability verification of the temperature prediction model.

[0195] The adaptability test of the model mainly checks whether the temperature prediction model extracts useful information from the indoor historical temperature of the time series, that is, to test whether the residual sequence is a white noise process.

[0196] In the modeling process of this solution, the test method used is the Ljung-Box test method. The Ljung-Box test method is used to test the residual autocorrelation coefficients in groups. If the P value of the Ljung-Box test statistic is greater than the significance level of 0.05, the original hypothesis that the residual sequence is white noise is accepted.

[0197] (8) The expression of the temperature prediction model is as follows:

[0198]

[0199] In the above formula, L(X t ) = X t - X t-1 , L d (X t ) = L(L d-1 (X t ))。

[0200] Among them, X t is the predicted indoor temperature predicted by the temperature prediction model; μ is the mean constant of the indoor historical temperature of the time series, ε t is the error of the indoor historical temperature, is the autoregressive coefficient, θ j is the moving average coefficient, and L d is the d-order difference operator.

[0201] After designing the temperature prediction model, training samples, and test samples, the indoor predicted temperature can be predicted iteratively, enabling the temperature prediction model to learn the correlation between multiple indoor historical temperatures within the preset duration before the air conditioner starts and the predicted indoor temperature. First, input multiple indoor historical temperatures within the preset duration before the air conditioner starts into the temperature prediction model to predict the indoor predicted temperature for the next second. Then, add this indoor predicted temperature to the training samples and remove the first indoor historical temperature from the training samples. This means that for each newly added indoor predicted temperature obtained from the previous prediction by the temperature prediction model in the training samples, the first indoor historical temperature in the training samples is removed, thereby keeping the data volume in the training samples unchanged, preventing overfitting of the temperature prediction model, and enhancing the generalization ability of the temperature prediction model.

[0202] Exemplarily, for the first prediction, the training samples are Tem1 = {X1, X2, …, X k}, and these training samples are used to predict the indoor predicted temperature value for the next second. Add to the training samples, and then remove the first indoor historical temperature from the training samples; for the second prediction, the training samples are And so on, the indoor predicted temperature for the next hour is: where n is the total prediction time, and in this solution, n can be 3600s.

[0203] (9) Evaluation of the temperature prediction model.

[0204] After the temperature prediction model is trained, the mean squared error (MSE) method can be used to evaluate the performance and accuracy of the temperature prediction model. The expression of the mean squared error is as follows:

[0205]

[0206] where MSE is the mean squared error, is the indoor actual temperature; is the indoor predicted temperature; n is the number of predicted indoor predicted temperatures.

[0207] As can be seen from the above formula, the smaller the mean squared error, the closer the indoor predicted temperature predicted by the temperature prediction model is to the indoor actual temperature, the better the accuracy and precision of the temperature prediction model, and the better the performance of the temperature prediction model.

[0208] Secondly, the application process of the temperature prediction model is introduced. The application process includes: using multiple indoor actual temperatures within the preset duration before the air conditioner starts and / or the indoor predicted temperature obtained from the previous prediction by the temperature prediction model as input parameters of the temperature prediction model to obtain the indoor predicted temperature for this prediction.

[0209] Exemplarily, remove the first input parameter among the multiple input parameters, and add the indoor predicted temperature obtained by the temperature prediction model in the previous prediction to the tail of the multiple input parameters as the input parameter for the current prediction of the temperature prediction model, so as to obtain the indoor predicted temperature for this time.

[0210] Taking the preset duration as 1 hour as an example, the indoor real temperatures before the air conditioner is started are A1, A2, A3, A4, A5, and A6. After inputting these six indoor real temperatures of A1, A2, A3, A4, A5, and A6 as input parameters into the temperature prediction model, the temperature prediction model can predict the indoor predicted temperature B1 at the 1st second after the air conditioner is turned on; then remove A1 and add B1 to obtain the input parameters of A2, A3, A4, A5, A6, and B1. After inputting these six input parameters of A2, A3, A4, A5, A6, and B1 into the temperature prediction model, the temperature prediction model can predict the indoor predicted temperature B2 at the 2nd second after the air conditioner is turned on… and so on until the temperature prediction model predicts the indoor predicted temperature within 1 hour after the air conditioner is turned on.

[0211] Since the different sizes of the house space will lead to different indoor real temperatures after the air conditioner cools down, during the training process of the temperature prediction model, the indoor historical temperature within the preset duration before the user turns on the air conditioner and the indoor real temperature after the air conditioner is turned on can be used as training samples to train the temperature prediction model, so that the temperature prediction model can learn the temperature change trend in houses with different spaces before and after the air conditioner is turned on.

[0212] When the temperature prediction model receives the indoor real temperature within the preset duration before the air conditioner is turned on again, the temperature prediction model can predict the indoor predicted temperature that is more in line with the current house space within a certain period of time in the future, and this indoor predicted temperature will change with the change of the size of the house space.

[0213] It can be understood that after the air conditioner is purchased by the user and leaves the factory, it will be installed in houses with different space sizes, and different users also have different usage habits of the air conditioner. Therefore, the correlation relationship learned by the temperature prediction model configured in the air conditioner between the indoor historical temperature before the air conditioner is turned on and the indoor real temperature after the air conditioner is turned on will also be different with the different usage habits of the user and the size of the indoor space, resulting in different finally trained temperature prediction models. When the temperature prediction model is actually applied, it will also predict the indoor predicted temperature that is more in line with the current house space and the user's usage habit based on the learned correlation relationship.

[0214] Through the above technical solution, the temperature prediction model will learn the temperature change trends before and after the air conditioners in houses in different spaces are turned on, so as to predict personalized indoor predicted temperatures for different houses, making the predicted indoor predicted temperatures more in line with user habits and the user's living environment, thereby providing support for adjusting the operating frequency of the compressor.

[0215] Figure 8 is a block diagram of a frequency adjustment device shown according to an exemplary embodiment. Refer to Figure 8 , the frequency adjustment device 800 includes: a prediction module 810, a deviation module 820, and a correction module 830.

[0216] The prediction module 810 is configured to predict the temperature of the indoor environment to obtain an indoor predicted temperature, where the indoor predicted temperature is the temperature of the indoor environment that is expected to be reached;

[0217] The deviation module 820 is configured to determine the deviation between the indoor predicted temperature and the indoor actual temperature of the indoor environment;

[0218] The correction module 830 is configured to, according to the deviation, downwardly correct the operating frequency on the operating frequency curve of the compressor of the air conditioner to a target frequency by a frequency adjustment amplitude; wherein, the air conditioner is used to adjust the temperature of the indoor environment, and there is a positive correlation between the deviation and the frequency adjustment amplitude.

[0219] Optionally, the correction module 830 includes:

[0220] The first correction sub-module is configured to downwardly correct the operating frequency to the target frequency by the frequency adjustment amplitude according to the deviation and the indoor predicted temperature.

[0221] Optionally, the first correction sub-module includes:

[0222] The second correction sub-module is configured to downwardly correct the operating frequency to the target frequency by the frequency adjustment amplitude according to the deviation interval where the deviation is located and the temperature interval where the indoor predicted temperature is located.

[0223] Optionally, the deviation interval includes a first deviation interval, a second deviation interval, a third deviation interval, and a fourth deviation interval; the minimum value of the first deviation interval is greater than the maximum value of the second deviation interval; the minimum value of the third deviation interval is greater than the maximum value of the first deviation interval, and the minimum value of the second deviation interval is greater than the maximum value of the fourth deviation interval; wherein, the frequency adjustment amplitude corresponding to the first deviation interval is greater than or equal to the frequency adjustment amplitude corresponding to the second deviation interval; the frequency adjustment amplitude corresponding to the third deviation interval is greater than or equal to the frequency adjustment amplitude corresponding to the fourth deviation interval.

[0224] Optionally, the temperature range includes a first temperature range, a second temperature range, a third temperature range, and a fourth temperature range. The minimum value of the first temperature range is greater than the maximum value of the second temperature range. The minimum value of the second temperature range is greater than the maximum value of the third temperature range. The minimum value of the third temperature range is greater than the maximum value of the fourth temperature range. Among them, within the same deviation range, the amplitude of frequency adjustment corresponding to the first temperature range is greater than the amplitude of frequency adjustment corresponding to the second temperature range. The amplitude of frequency adjustment corresponding to the second temperature range is greater than the amplitude of frequency adjustment corresponding to the third temperature range. The amplitude of frequency adjustment corresponding to the third temperature range is greater than the amplitude of frequency adjustment corresponding to the fourth temperature range.

[0225] Optionally, the target frequencies include a first target frequency, a second target frequency, and a third target frequency. Adjusting the operating frequency on the operating frequency curve of the compressor of the air conditioner downward to the target frequency according to the deviation includes any one of the following:

[0226] When the predicted indoor temperature is within the first temperature range, adjusting the operating frequencies on the upper limit frequency curve and the first fast frequency curve of the compressor to the first target frequency with the amplitude of frequency adjustment corresponding to the first temperature range;

[0227] When the predicted indoor temperature is within the second temperature range, adjusting the frequencies on the second fast frequency curve and the first normal frequency curve of the compressor to the second target frequency with the amplitude of operating frequency adjustment corresponding to the second temperature range;

[0228] When the predicted indoor temperature is within the third temperature range, adjusting the operating frequencies on the fourth fast frequency curve and the second normal frequency curve of the compressor to the third target frequency with the amplitude of operating frequency adjustment corresponding to the third temperature range.

[0229] Optionally, the frequency adjustment device 800 includes:

[0230] A non - correction module, configured to not correct the fifth fast frequency and the third normal frequency of the compressor downward when the predicted indoor temperature is within the fourth temperature range.

[0231] Optionally, the second correction sub - module includes:

[0232] A first interval sub - module, configured to determine the second target deviation interval where the deviation is located and the temperature range where the predicted indoor temperature is located;

[0233] A third correction sub-module, configured to adjust an amplitude at a frequency corresponding to the second target deviation interval and the temperature interval, and to lower the operating frequency to the target frequency.

[0234] Optionally, the first interval sub-module includes:

[0235] A fourth correction sub-module, configured to correct the indoor actual temperature with a target correction value when the deviation is outside the deviation range, to obtain the indoor predicted temperature;

[0236] A second interval sub-module, configured to determine the second target deviation interval in which the deviation is located and the temperature interval in which the indoor predicted temperature is located.

[0237] Optionally, the prediction module 810 includes:

[0238] A first prediction sub-module, configured to use a plurality of indoor actual temperatures within a preset duration before the air conditioner is started and / or the indoor predicted temperature predicted by the temperature prediction model last time as input parameters of the temperature prediction model, to obtain the indoor predicted temperature for this prediction.

[0239] Optionally, the first prediction sub-module includes:

[0240] A removal sub-module, configured to remove the first input parameter among the plurality of input parameters, and add, at the tail of the plurality of input parameters, the indoor predicted temperature predicted by the temperature prediction model last time as the input parameter for this prediction of the temperature prediction model, to obtain the indoor predicted temperature for this time.

[0241] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0242] The present disclosure also provides a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the frequency adjustment method provided by the present disclosure are implemented.

[0243] Figure 9 is a block diagram of a device 900 for frequency adjustment shown according to an exemplary embodiment. For example, the device 900 may be a refrigeration device such as an air conditioner.

[0244] Referring to Figure 9 , the device 900 may include one or more of the following components: a processing component 902, a memory 904, a power supply component 906, a multimedia component 908, an audio component 910, an input / output interface 912, a sensor component 914, and a communication component 916.

[0245] The processing component 902 generally controls the overall operation of the device 900, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The processing component 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the above frequency adjustment method. In addition, the processing component 902 may include one or more modules to facilitate the interaction between the processing component 902 and other components. For example, the processing component 902 may include a multimedia module to facilitate the interaction between the multimedia component 908 and the processing component 902.

[0246] The memory 904 is configured to store various types of data to support the operation of the device 900. Examples of such data include instructions for any application or method operating on the device 900, contact data, phone book data, messages, pictures, videos, etc. The memory 904 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0247] The power component 906 provides power to various components of the device 900. The power component 906 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 900.

[0248] The multimedia component 908 includes a screen that provides an output interface between the device 900 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe actions but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 908 includes a front camera and / or a rear camera. When the device 900 is in an operation mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each of the front camera and the rear camera may be a fixed optical lens system or have a focal length and optical zoom capabilities.

[0249] The audio component 910 is configured to output and / or input audio signals. For example, the audio component 910 includes a microphone (MIC), which is configured to receive external audio signals when the device 900 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.

[0250] The input / output interface 912 provides an interface between the processing component 902 and a peripheral interface module, and the peripheral interface module can be a keyboard, a click wheel, buttons, etc. These buttons can include but are not limited to: a home button, a volume button, a power button, and a lock button.

[0251] The sensor component 914 includes one or more sensors for providing an assessment of various aspects of the state of the device 900. For example, the sensor component 914 can detect the on / off state of the device 900, the relative positioning of components, such as the display and keypad of the device 900. The sensor component 914 can also detect a change in the position of the device 900 or a component of the device 900, the presence or absence of user contact with the device 900, the orientation or acceleration / deceleration of the device 900, and the temperature change of the device 900. The sensor component 914 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor component 914 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 914 can further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0252] The communication component 916 is configured to facilitate communication between the device 900 and other devices in a wired or wireless manner. The device 900 can access a wireless network based on communication standards, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 916 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 916 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0253] In an exemplary embodiment, the apparatus 900 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above frequency adjustment method.

[0254] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 904 including instructions, and the above instructions can be executed by a processor 920 of the apparatus 900 to complete the above frequency adjustment method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0255] In addition to being an independent electronic device, the above apparatus may also be a part of an independent electronic device. For example, in one embodiment, the apparatus may be an integrated circuit (IC) or a chip. The integrated circuit may be a single IC or a collection of multiple ICs; the chip may include, but is not limited to, the following types: GPU (Graphics Processing Unit), CPU (Central Processing Unit), FPGA (Field Programmable Gate Array), DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), SOC (System on Chip), etc. The above integrated circuit or chip may be used to execute executable instructions (or code) to implement the above frequency adjustment method. The executable instructions may be stored in the integrated circuit or chip, or obtained from other devices or equipment. For example, the integrated circuit or chip includes a processor, a memory, and an interface for communicating with other devices. The executable instructions may be stored in the memory, and when the executable instructions are executed by the processor, the above frequency adjustment method is implemented; or, the integrated circuit or chip may receive the executable instructions through the interface and transmit them to the processor for execution to implement the above frequency adjustment method.

[0256] In another exemplary embodiment, there is also provided a computer program product comprising a computer program executable by a programmable device, the computer program having code portions for performing the above frequency adjustment method when executed by the programmable device.

[0257] Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the present disclosure. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed by the present disclosure. The specification and embodiments are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0258] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A frequency adjustment method, characterized in that, Including: Predicting the temperature of the indoor environment to obtain a predicted indoor temperature, where the predicted indoor temperature is the temperature of the indoor environment that is expected to be achieved; Determining the deviation between the predicted indoor temperature and the actual indoor temperature of the indoor environment; According to the deviation, downwardly correcting the operating frequency on the operating frequency curve of the compressor of the air conditioner to a target frequency by a frequency adjustment amplitude; wherein, the air conditioner is used to adjust the temperature of the indoor environment, and there is a positive correlation between the deviation and the frequency adjustment amplitude.

2. The method according to claim 1, wherein The step of downwardly correcting the operating frequency on the operating frequency curve of the compressor of the air conditioner to a target frequency by a frequency adjustment amplitude according to the deviation includes: According to the deviation and the predicted indoor temperature, downwardly correcting the operating frequency to the target frequency by the frequency adjustment amplitude.

3. The method according to claim 2, characterized in that, The step of downwardly correcting the operating frequency to the target frequency by the frequency adjustment amplitude according to the deviation and the predicted indoor temperature includes: According to the deviation interval where the deviation is located and the temperature interval where the predicted indoor temperature is located, downwardly correcting the operating frequency to the target frequency by the frequency adjustment amplitude.

4. The method according to claim 3, characterized in that The deviation interval includes a first deviation interval, a second deviation interval, a third deviation interval and a fourth deviation interval; the minimum value of the first deviation interval is greater than the maximum value of the second deviation interval; the minimum value of the third deviation interval is greater than the maximum value of the first deviation interval, and the minimum value of the second deviation interval is greater than the maximum value of the fourth deviation interval; Wherein, the frequency adjustment amplitude corresponding to the first deviation interval is greater than or equal to the frequency adjustment amplitude corresponding to the second deviation interval; the frequency adjustment amplitude corresponding to the third deviation interval is greater than or equal to the frequency adjustment amplitude corresponding to the fourth deviation interval.

5. The method according to claim 3, characterized in that, The temperature interval includes a first temperature interval, a second temperature interval, a third temperature interval and a fourth temperature interval, the minimum value of the first temperature interval is greater than the maximum value of the second temperature interval, the minimum value of the second temperature interval is greater than the maximum value of the third temperature interval, and the minimum value of the third temperature interval is greater than the maximum value of the fourth temperature interval; Wherein, within the same deviation interval, the frequency adjustment amplitude corresponding to the first temperature interval is greater than the frequency adjustment amplitude corresponding to the second temperature interval, the frequency adjustment amplitude corresponding to the second temperature interval is greater than the frequency adjustment amplitude corresponding to the third temperature interval, and the frequency adjustment amplitude corresponding to the third temperature interval is greater than the frequency adjustment amplitude corresponding to the fourth temperature interval.

6. The method according to claim 5, wherein The target frequency includes a first target frequency, a second target frequency and a third target frequency; the step of downwardly correcting the operating frequency on the operating frequency curve of the compressor of the air conditioner to a target frequency by a frequency adjustment amplitude according to the deviation includes any one of the following: When the predicted indoor temperature is within the first temperature interval, adjusting the operating frequencies on the upper limit frequency curve and the first rapid frequency curve of the compressor to the first target frequency by the frequency adjustment amplitude corresponding to the first temperature interval; When the predicted indoor temperature is within the second temperature range, adjust the amplitude of the operating frequency corresponding to the second temperature range, and adjust the frequencies on the second fast frequency curve and the first conventional frequency curve of the compressor to the second target frequency; When the predicted indoor temperature is within the third temperature range, adjust the amplitude of the operating frequency corresponding to the third temperature range, and adjust the operating frequencies on the fourth fast frequency curve and the second conventional frequency curve of the compressor to the third target frequency.

7. The method according to claim 5, characterized in that, The method further includes: When the predicted indoor temperature is within the fourth temperature range, do not downwardly correct the fifth fast frequency and the third conventional frequency of the compressor.

8. The method according to claim 3, wherein The step of downwardly correcting the operating frequency to the target frequency according to the deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located, with the frequency adjustment amplitude, includes: Determine the first target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located; Obtain the frequency adjustment amplitude according to the deviation and the correction function corresponding to the first target deviation range and the temperature range; With the frequency adjustment amplitude, downwardly adjust the operating frequency to the target frequency.

9. The method according to claim 3, wherein The step of downwardly correcting the operating frequency to the target frequency according to the deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located, with the frequency adjustment amplitude, includes: Determine the second target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located; With the frequency adjustment amplitude corresponding to the second target deviation range and the temperature range, downwardly adjust the operating frequency to the target frequency.

10. The method according to claim 9, wherein The step of determining the second target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located includes: When the deviation is outside the deviation range, correct the indoor actual temperature with a target correction value to obtain the predicted indoor temperature; Determine the second target deviation range where the deviation is located and the temperature range where the predicted indoor temperature is located.

11. The method according to claim 1, characterized in that, The step of predicting the temperature of the indoor environment to obtain the predicted indoor temperature includes: Use multiple indoor actual temperatures within a preset time period before the air conditioner is started and / or the predicted indoor temperature obtained from the previous prediction of the temperature prediction model as input parameters of the temperature prediction model to obtain the predicted indoor temperature for this prediction.

12. The method according to claim 11, characterized in that, The step of using multiple indoor actual temperatures within a preset time period before the air conditioner is started and the predicted indoor temperature obtained from the previous prediction of the temperature prediction model as input parameters of the temperature prediction model to obtain the predicted indoor temperature for this prediction includes: Remove the first input parameter among the multiple input parameters, and add the predicted indoor temperature obtained from the previous prediction of the temperature prediction model at the end of the multiple input parameters as the input parameter for this prediction of the temperature prediction model to obtain the predicted indoor temperature for this time.

13. A frequency adjustment device, characterized in that, It includes: A prediction module configured to predict the temperature of the indoor environment to obtain the predicted indoor temperature, where the predicted indoor temperature is the temperature of the desired indoor environment; A deviation module, configured to determine a deviation between the indoor predicted temperature and the indoor actual temperature of the indoor environment; A correction module, configured to, according to the deviation, downwardly correct an operating frequency on an operating frequency curve of a compressor of an air conditioner to a target frequency by a frequency adjustment amplitude; wherein, the air conditioner is used to adjust the temperature of the indoor environment, and there is a positive correlation between the deviation and the frequency adjustment amplitude.

14. An air conditioner, characterized in that, Comprising: A processor; A memory for storing processor-executable instructions; Wherein, the processor is configured to: Execute the steps of the method according to any one of claims 1 to 12.

15. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the program instructions are executed by the processor, the steps of the method according to any one of claims 1 to 12 are implemented.

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