Air conditioning control methods, devices and air conditioning systems

Abstract

This invention relates to the field of air conditioning technology, providing an air conditioning control method, device, and system. The method includes: acquiring historical temperature data, which includes predicted indoor temperature values ​​and corresponding measured indoor temperature values ​​at multiple sampling times; determining a temperature prediction error parameter based on the difference between the predicted indoor temperature value and the corresponding measured indoor temperature value; predicting the predicted indoor temperature value at the next time moment; and adjusting the compressor's operating frequency based on the predicted indoor temperature value at the next time moment, the temperature prediction error parameter, and the target indoor temperature. This invention, by acquiring predicted and measured indoor temperature values ​​at multiple sampling times from historical data and determining a temperature prediction error parameter based on the difference between the two, corrects the predicted temperature value at the next time moment. This reduces deviations caused by inherent biases in the temperature prediction model or environmental interference, avoids excessive compressor adjustment or adjustment lag, improves user comfort, and reduces overall energy consumption.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and in particular to an air conditioning control method, device and air conditioning system. Background Technology

[0002] Air conditioning, as an indispensable environmental control device in modern buildings, dynamically regulates environmental parameters such as indoor temperature by adjusting the operating frequency of the compressor. In traditional control methods, air conditioning mainly relies on sensors to collect indoor ambient temperature in real time, compare it with a preset target temperature, and drive the compressor to operate based on feedback control logic to make the indoor temperature approach and stabilize at the target value.

[0003] To overcome the lag in real-time feedback, existing technologies introduce temperature prediction control mechanisms. This involves establishing a predictive model to anticipate indoor temperature changes and thus adjust the compressor frequency accordingly. However, existing prediction models struggle to match real-world application scenarios, leading to deviations in predicted indoor temperatures. This can cause overcompensation or lag in compressor adjustments, resulting in frequent fluctuations in indoor temperature and reduced user comfort. Summary of the Invention

[0004] This invention provides an air conditioning control method, device, and air conditioning system to solve the defects in the prior art caused by temperature prediction deviation leading to compressor adjustment inaccuracy. By introducing historical prediction error parameters, the predicted value at the next moment is dynamically corrected, and the compressor frequency is adjusted based on the corrected temperature to suppress indoor temperature fluctuations, thereby improving user comfort.

[0005] This invention provides an air conditioning control method, comprising: Acquire historical temperature data, which includes predicted indoor temperature values ​​at multiple sampling times and corresponding measured indoor temperature values. Based on the difference between the predicted indoor temperature and the corresponding measured indoor temperature, a temperature prediction error parameter characterizing the prediction error is determined. Obtain the operating status parameters of the air conditioner at the current moment and predict the indoor temperature at the next moment; Based on the predicted indoor temperature at the next moment, the temperature prediction error parameter, and the target indoor temperature, the operating frequency of the compressor is adjusted.

[0006] According to an air conditioning control method provided by the present invention, determining the temperature prediction error parameter characterizing the prediction error includes: The difference between the predicted indoor temperature value and the corresponding measured indoor temperature value at each sampling time is determined to form a temperature prediction error sequence; Based on the temperature prediction error sequence, the temperature prediction deviation value and the temperature prediction uncertainty are determined; wherein, the temperature prediction deviation value is the mean of the temperature prediction error sequence, and the temperature prediction uncertainty is the standard deviation of the temperature prediction error sequence. Based on the temperature prediction deviation value and the temperature prediction uncertainty, the temperature prediction error parameter is determined.

[0007] According to an air conditioning control method provided by the present invention, determining the temperature prediction error parameter based on the temperature prediction deviation value and the temperature prediction uncertainty includes: The temperature prediction uncertainty is weighted based on the adjustment factor to obtain the weighted temperature prediction uncertainty. The sum of the temperature prediction deviation and the weighted temperature prediction uncertainty is determined as the temperature prediction error parameter.

[0008] An air conditioning control method according to the present invention further includes: Obtain the environmental load change rate at the current moment, which is determined based on the outdoor temperature change slope and / or the change in the number of people indoors at multiple sampling moments; The adjustment factor is adjusted based on the environmental load change rate; wherein the environmental load change rate is positively correlated with the adjustment factor.

[0009] According to an air conditioning control method provided by the present invention, adjusting the operating frequency of the compressor based on the predicted indoor temperature value at the next moment, the temperature prediction error parameter, and the target indoor temperature includes: The indoor temperature prediction value for the next moment is corrected based on the temperature prediction error parameter to obtain the corrected indoor temperature value for the next moment. If the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is greater than or equal to a preset threshold, the operating frequency of the compressor is adjusted.

[0010] According to an air conditioning control method provided by the present invention, when the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is greater than or equal to a preset threshold, adjusting the operating frequency of the compressor includes: If the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is greater than or equal to a preset threshold, and the compressor's operating time at the current frequency exceeds the target dwell time, the compressor's operating frequency is adjusted.

[0011] An air conditioning control method according to the present invention further includes: Obtain compressor frequency switching data within a historical preset time period; Based on the frequency switching data and the temperature prediction error parameter, the preset dwell time is adjusted to obtain the target dwell time.

[0012] An air conditioning control method according to the present invention further includes: If the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is less than a preset threshold, or if the compressor's operating time at the current frequency does not exceed the target dwell time, the compressor is controlled to maintain the current operating frequency.

[0013] The present invention also provides an air conditioning control device, comprising: The acquisition module is used to acquire historical temperature data, which includes predicted indoor temperature values ​​at multiple sampling times and corresponding measured indoor temperature values. The determination module is used to determine the temperature prediction error parameter, which characterizes the prediction error, based on the difference between the predicted indoor temperature value and the corresponding measured indoor temperature value. The prediction module is used to obtain the operating status parameters of the air conditioner at the current moment and predict the indoor temperature at the next moment. The adjustment module is used to adjust the operating frequency of the compressor based on the predicted indoor temperature value at the next moment, the temperature prediction error parameter, and the target indoor temperature.

[0014] The present invention also provides an air conditioning system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the air conditioning control method as described in any of the above.

[0015] The air conditioning control method provided by this invention acquires predicted and measured indoor temperatures at multiple sampling times from historical data. Based on the difference between the two values, a temperature prediction error parameter characterizing the prediction error is determined to quantify the deviation of the temperature prediction model. After predicting the indoor temperature at the next moment based on the current operating parameters, the compressor's operating frequency is adjusted jointly by combining the temperature prediction error parameter and the target indoor temperature. This method corrects the predicted temperature value at the next moment by introducing the temperature prediction error parameter, making the compressor's adjustment more closely reflect the actual trend of indoor temperature changes. This reduces control deviations caused by inherent biases in the temperature prediction model or environmental interference, avoids over-adjustment or lag in compressor adjustment, thereby improving user comfort and reducing overall energy consumption. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is one of the flowcharts illustrating the air conditioning control method provided by the present invention.

[0018] Figure 2 This is the second flowchart of the air conditioning control method provided by the present invention.

[0019] Figure 3 This is the third flowchart of the air conditioning control method provided by the present invention.

[0020] Figure 4 This is the fourth flowchart of the air conditioning control method provided by the present invention.

[0021] Figure 5 This is the fifth flowchart of the air conditioning control method provided by the present invention.

[0022] Figure 6 This is the sixth flowchart of the air conditioning control method provided by the present invention.

[0023] Figure 7 This is a schematic diagram of the air conditioning control device provided by the present invention.

[0024] Figure 8 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0026] The following is combined Figures 1 to 6 The air conditioning control method of the present invention is described.

[0027] An embodiment of the first aspect of the present invention provides an air conditioning control method, such as... Figure 1 As shown, the method includes the following steps: Step 100: Obtain historical temperature data, which includes predicted indoor temperature values ​​and corresponding measured indoor temperature values ​​at multiple sampling times.

[0028] The predicted indoor temperature at each sampling time is obtained based on the air conditioning operating parameters of the previous sampling time and using a pre-established temperature prediction model. Specifically, the air conditioning operating data can include key parameters that directly affect the heat exchange process, such as compressor operating frequency, indoor unit fan speed, set target indoor temperature, and electronic expansion valve opening. The corresponding measured indoor temperature is acquired in real time by temperature sensors deployed in the indoor environment to accurately reflect the actual thermodynamic state of the space.

[0029] Historical temperature data can be obtained from multiple consecutive sampling times to ensure the continuity of the acquired data and thus truly reflect the dynamic change of temperature prediction error over time.

[0030] Understandably, by obtaining comparative data between predicted and measured temperature values, a reliable data foundation can be provided for evaluating the accuracy of temperature prediction models, thereby effectively identifying the prediction biases of the temperature prediction models themselves.

[0031] Step 200: Based on the difference between the predicted indoor temperature and the corresponding measured indoor temperature, determine the temperature prediction error parameter that characterizes the prediction error.

[0032] Step 300: Obtain the operating status parameters of the air conditioner at the current moment and predict the indoor temperature at the next moment.

[0033] Step 400: Based on the predicted indoor temperature value, temperature prediction error parameter, and indoor target temperature at the next moment, adjust the operating frequency of the compressor.

[0034] Understandably, the process involves acquiring predicted indoor temperatures at multiple sampling times, along with the corresponding measured indoor temperatures at the same time. Based on the difference between the predicted and measured indoor temperatures at each time point, a temperature prediction error parameter is calculated and determined to characterize the deviation of the prediction model. The operating status parameters of the air conditioner at the current time are acquired, and the indoor temperature at the next time point is predicted based on a preset prediction model, resulting in a predicted indoor temperature value for the next time point. This predicted value is then combined with the temperature prediction error parameter to correct the predicted value. The corrected temperature value is compared with the target indoor temperature, and the compressor's operating frequency is adjusted based on the comparison result. This allows the compressor's output to be adjusted according to the error-compensated temperature prediction value, enabling the indoor temperature to more smoothly approach and remain within the set target range.

[0035] The air conditioning control method provided in this invention obtains predicted and measured indoor temperatures at multiple sampling times from historical data. Based on the difference between the two values, a temperature prediction error parameter characterizing the prediction error is determined to quantify the deviation of the temperature prediction model. After predicting the indoor temperature at the next moment based on the current operating parameters, the operating frequency of the compressor is adjusted jointly by combining the temperature prediction error parameter and the target indoor temperature. This method corrects the predicted temperature value at the next moment by introducing historical prediction errors (i.e., temperature prediction error parameters), making the compressor adjustment more closely reflect the actual trend of indoor temperature changes. This reduces control deviations caused by inherent biases in the temperature prediction model or environmental interference, avoids over-adjustment or lag in compressor adjustment, thereby improving user comfort and reducing overall energy consumption.

[0036] In one embodiment of the present invention, such as Figure 2 As shown, step 200 may specifically include the following steps: Step 210: Determine the difference between the predicted indoor temperature and the corresponding measured indoor temperature at each sampling time to form a temperature prediction error sequence.

[0037] Step 220: Based on the temperature prediction error sequence, determine the temperature prediction deviation and temperature prediction uncertainty; wherein, the temperature prediction deviation is the mean of the temperature prediction error sequence, and the temperature prediction uncertainty is the standard deviation of the temperature prediction error sequence.

[0038] Step 230: Determine the temperature prediction error parameters based on the temperature prediction deviation and temperature prediction uncertainty.

[0039] Understandably, for the acquired historical temperature data, the difference between the predicted indoor temperature and the corresponding measured indoor temperature at each sampling time is calculated one by one. The differences corresponding to all sampling times constitute a temperature prediction error sequence reflecting the historical distribution of the prediction deviation. Statistical calculations are performed on this temperature prediction error sequence to determine the temperature prediction deviation value and the temperature prediction uncertainty. The temperature prediction deviation value is set as the mean of the error sequence to characterize the systematic shift trend of the prediction model, and the temperature prediction uncertainty is set as the standard deviation of the error sequence to characterize the fluctuation range and dispersion of the prediction error. The calculated temperature prediction deviation value and the temperature prediction uncertainty are then fused to determine the temperature prediction error parameter used for subsequent correction. This parameter reflects both the average level of the prediction error and the fluctuation characteristics of the error, thus providing a basis for error compensation for the temperature prediction value at the next time point.

[0040] Optionally, such as Figure 3 As shown, step 230 may specifically include the following steps: Step 231: Weight the temperature prediction uncertainty based on the adjustment factor to obtain the weighted temperature prediction uncertainty.

[0041] Step 232: The sum of the temperature prediction deviation and the weighted temperature prediction uncertainty is determined as the temperature prediction error parameter.

[0042] Understandably, the calculated temperature prediction uncertainty is weighted by introducing an adjustment factor to obtain a weighted temperature prediction uncertainty. This adjustment factor is used to adjust the weight of uncertainty in the final error parameter according to actual control requirements. Subsequently, the temperature prediction deviation value is summed with the weighted temperature prediction uncertainty, and the sum is determined as the final temperature prediction error parameter. This parameter reflects both the systematic bias of the prediction model and the error fluctuation characteristics after weight adjustment, thus providing an accurate compensation benchmark for temperature prediction correction at the next time step.

[0043] Specifically, the temperature prediction error parameter can be calculated using the following formula (1): (1) in, This represents the temperature prediction error parameter. This indicates the temperature prediction deviation value. Indicates the uncertainty of temperature prediction. This indicates a regulatory factor.

[0044] Optionally, step 230 may also include a step of adjusting the adjustment factor.

[0045] Specifically, the environmental load change rate at the current moment is obtained, which is determined based on the slope of outdoor temperature change and / or the change in the number of people indoors at multiple sampling times; the adjustment factor is adjusted based on the environmental load change rate. The environmental load change rate is positively correlated with the adjustment factor.

[0046] Understandably, the environmental load change rate at the current moment is obtained. This rate characterizes the severity of indoor and outdoor thermal environmental disturbances, specifically determined based on the outdoor temperature change slope and / or changes in the number of people indoors at multiple sampling times. The outdoor temperature change slope refers to the change in outdoor ambient temperature per unit time, such as the degree increase or decrease per minute, reflecting the impact of outdoor climate fluctuations on indoor heat load. Changes in the number of people indoors can be obtained through infrared sensor detection, carbon dioxide concentration inversion, or personnel entry and exit counting, reflecting changes in heat sources such as heat dissipation from people indoors. The adjustment factor is adjusted based on the calculated environmental load change rate. The environmental load change rate and the adjustment factor are positively correlated; that is, when the environmental load change rate increases, the value of the adjustment factor is increased accordingly to enhance the weight of temperature prediction uncertainty in the error parameter, thus responding to environmental disturbances. Conversely, when the environmental load change rate decreases, the value of the adjustment factor is decreased, making the control more focused on maintaining stability.

[0047] In one embodiment of the present invention, such as Figure 4 As shown, step 400 may specifically include the following steps: Step 410: Correct the predicted indoor temperature value for the next moment based on the temperature prediction error parameter to obtain the corrected indoor temperature value for the next moment.

[0048] Step 420: If the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is greater than or equal to the preset threshold, adjust the operating frequency of the compressor.

[0049] Understandably, the calculated temperature prediction error parameter is combined with the predicted indoor temperature value for the next moment. Specifically, the temperature prediction error parameter is added as a compensation to the predicted indoor temperature value for the next moment to correct the error in the predicted value, resulting in the corrected indoor temperature value for the next moment. The temperature difference between this corrected indoor temperature value and the preset indoor target temperature is calculated and compared with a preset threshold. When the temperature difference is greater than or equal to the preset threshold, it indicates that the current predicted and corrected temperature deviates significantly from the target value, and the operation of the air conditioner needs to be adjusted. At this time, the operating frequency of the compressor is adjusted according to the magnitude and direction of the temperature difference so that the indoor temperature gradually approaches and stabilizes within the target temperature range.

[0050] Furthermore, step 420 may specifically include the following: If the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is greater than or equal to the preset threshold, and the compressor's running time at the current frequency exceeds the target dwell time, the compressor's operating frequency will be adjusted.

[0051] Understandably, after calculating the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment, it is first determined whether the temperature difference is greater than or equal to a preset threshold. If the temperature difference does not meet the threshold condition, the current control state is maintained. If the temperature difference is greater than or equal to the preset threshold, the continuous running time of the compressor at the current operating frequency is further detected and compared with the target dwell time. Only when the current running time of the compressor exceeds the target dwell time, the operating frequency of the compressor is adjusted according to the magnitude and direction of the temperature difference.

[0052] It should be noted that by introducing a residence time constraint for frequency regulation, the compressor is prevented from frequently starting and stopping or frequently changing speed near the temperature critical point due to small fluctuations, thereby reducing the mechanical loss and power fluctuation of the compressor.

[0053] In one embodiment of the present invention, such as Figure 5 As shown, before performing step 400, the method further includes the following steps: Step 500: Obtain compressor frequency switching data within a historical preset time period.

[0054] Understandably, the compressor frequency switching data records the number of times the compressor's frequency changed over a period of time, the time points, and the frequency values ​​before and after the switching.

[0055] Step 600: Based on the frequency switching data and temperature prediction error parameters, adjust the preset dwell time to obtain the target dwell time.

[0056] Understandably, the preset residence time is adjusted based on the acquired frequency switching data and the determined temperature prediction error parameters to obtain the target residence time for subsequent control.

[0057] The preset dwell time refers to the shortest duration for which the compressor maintains operation at the new frequency after each frequency adjustment. Its initial value can be preset according to the mechanical characteristics of the compressor, for example, set to 3 minutes, to prevent the compressor's lifespan from being affected by frequent start-stop or speed change. In step 600, if the frequency switching data analysis shows that the compressor has switched too frequently in the past period of time, or if the temperature prediction error parameter indicates that the current prediction deviation fluctuates greatly, the preset dwell time is extended accordingly, for example, from 3 minutes to 5 minutes, to obtain the updated target dwell time, so that the compressor can operate more smoothly when the temperature fluctuates greatly or the control is unstable, reducing unnecessary frequency adjustments.

[0058] It should be noted that the preset dwell time can be a fixed value set at the factory, such as the default duration pre-configured according to the compressor model and normal operating conditions; or it can be a dynamic value that is periodically updated based on historical control effects or environmental changes during actual operation. That is, the target dwell time obtained after each execution of step 600 can be used as the preset dwell time in the next control cycle so that the dwell time can be adaptively optimized according to the changes in the air conditioning operating conditions.

[0059] In one embodiment of the present invention, such as Figure 6 As shown, the method further includes the following steps: Step 700: If the temperature difference between the indoor temperature correction value and the indoor target temperature at the next moment is less than the preset threshold, or if the compressor's running time at the current frequency does not exceed the target dwell time, control the compressor to maintain the current operating frequency.

[0060] Understandably, the system determines whether the temperature difference between the corrected indoor temperature and the target indoor temperature is less than a preset threshold, or whether the compressor's operating time at the current frequency has not exceeded the target dwell time. If either of these conditions is met—meaning the temperature difference is within acceptable limits and no adjustment is needed, or if adjustment is required but the compressor's operating time at the current frequency has not yet reached the target dwell time requirement—then the compressor is controlled to maintain its current operating frequency, and no frequency adjustment is performed. In this way, by setting the frequency maintenance criteria, unnecessary adjustments are avoided when the temperature deviation is small or the compressor is in a stable period after frequency adjustment, thereby reducing frequent compressor starts and stops and frequency fluctuations, and lowering mechanical losses and operating energy consumption.

[0061] The air conditioning control device provided by the present invention is described below. The air conditioning control device described below can be referred to in correspondence with the air conditioning control method described above.

[0062] A second aspect of the present invention provides an air conditioning control device, such as... Figure 7 As shown, the device includes an acquisition module 710, a determination module 720, a prediction module 730, and an adjustment module 740; wherein: The acquisition module 710 is used to acquire historical temperature data, which includes predicted indoor temperature values ​​and corresponding measured indoor temperature values ​​at multiple sampling times.

[0063] The determination module 720 is used to determine the temperature prediction error parameter that characterizes the prediction error based on the difference between the predicted indoor temperature value and the corresponding measured indoor temperature value.

[0064] The prediction module 730 is used to obtain the operating status parameters of the air conditioner at the current moment and predict the indoor temperature forecast value at the next moment.

[0065] The adjustment module 740 is used to adjust the operating frequency of the compressor based on the predicted indoor temperature value, temperature prediction error parameters, and indoor target temperature at the next moment.

[0066] A second aspect of the present invention provides an air conditioning system, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the air conditioning control method provided in any of the above embodiments.

[0067] Figure 8 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 8 As shown, the electronic device may include: a processor 810, a communications interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communications interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call logic instructions in the memory 830 to execute an air conditioning control method, which includes: acquiring historical temperature data, including predicted indoor temperature values ​​and corresponding measured indoor temperature values ​​at multiple sampling times; determining a temperature prediction error parameter characterizing the prediction error based on the difference between the predicted indoor temperature value and the corresponding measured indoor temperature value; acquiring the air conditioner's operating status parameters at the current time and predicting the predicted indoor temperature value at the next time; and adjusting the compressor's operating frequency based on the predicted indoor temperature value at the next time, the temperature prediction error parameter, and the target indoor temperature.

[0068] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0069] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the air conditioning control method provided by the above methods. The method includes: acquiring historical temperature data, which includes indoor temperature prediction values ​​and corresponding measured indoor temperature values ​​at multiple sampling times; determining a temperature prediction error parameter characterizing the prediction error based on the difference between the indoor temperature prediction value and the corresponding measured indoor temperature value; acquiring the air conditioning operating status parameters at the current time and predicting the indoor temperature prediction value at the next time; and adjusting the compressor operating frequency based on the indoor temperature prediction value at the next time, the temperature prediction error parameter, and the indoor target temperature.

[0070] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the air conditioning control method provided by the above methods. The method includes: acquiring historical temperature data, the historical temperature data including indoor temperature prediction values ​​and corresponding measured indoor temperature values ​​at multiple sampling times; determining a temperature prediction error parameter characterizing the prediction error based on the difference between the indoor temperature prediction value and the corresponding measured indoor temperature value; acquiring the air conditioning operating status parameters at the current time and predicting the indoor temperature prediction value at the next time; and adjusting the compressor operating frequency based on the indoor temperature prediction value at the next time, the temperature prediction error parameter, and the indoor target temperature.

[0071] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0072] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An air conditioner control method characterized by comprising: The method comprises: obtaining historical temperature data, the historical temperature data comprising indoor temperature prediction values at a plurality of sampling times and corresponding indoor temperature measured values; determining a temperature prediction error parameter representing a prediction error characteristic based on a difference between the indoor temperature prediction values and the corresponding indoor temperature measured values; obtaining an operating state parameter of an air conditioner at a current time and predicting an indoor temperature prediction value at a next time; adjusting a running frequency of a compressor based on the indoor temperature prediction value at the next time, the temperature prediction error parameter and an indoor target temperature.

2. The air conditioner control method according to claim 1, characterized by, The determination of the temperature prediction error parameter representing the prediction error characteristic comprises: determining a difference between the indoor temperature prediction value at each sampling time and the corresponding indoor temperature measured value to form a temperature prediction error sequence; determining a temperature prediction bias value and a temperature prediction uncertainty based on the temperature prediction error sequence; wherein the temperature prediction bias value is a mean value of the temperature prediction error sequence, and the temperature prediction uncertainty is a standard deviation of the temperature prediction error sequence; determining the temperature prediction error parameter based on the temperature prediction bias value and the temperature prediction uncertainty.

3. The air conditioner control method according to claim 2, characterized by, The determination of the temperature prediction error parameter based on the temperature prediction bias value and the temperature prediction uncertainty comprises: weighting the temperature prediction uncertainty based on an adjustment factor to obtain a weighted temperature prediction uncertainty; determining a sum of the temperature prediction bias value and the weighted temperature prediction uncertainty as the temperature prediction error parameter.

4. The air conditioner control method according to claim 3, characterized by, The method further comprises: obtaining an environmental load change rate at the current time, the environmental load change rate being determined based on outdoor temperature change slopes and / or indoor personnel number changes at a plurality of sampling times; adjusting the adjustment factor based on the environmental load change rate; wherein the environmental load change rate and the adjustment factor are positively correlated.

5. The air conditioner control method according to any one of claims 1 to 4, characterized by, The adjustment of the running frequency of the compressor based on the indoor temperature prediction value at the next time, the temperature prediction error parameter and the indoor target temperature comprises: correcting the indoor temperature prediction value at the next time based on the temperature prediction error parameter to obtain an indoor temperature correction value at the next time; adjusting the running frequency of the compressor in a case where a temperature difference between the indoor temperature correction value at the next time and the indoor target temperature is greater than or equal to a preset threshold.

6. The air conditioner control method according to claim 5, characterized by, The adjustment of the running frequency of the compressor in the case where the temperature difference between the indoor temperature correction value at the next time and the indoor target temperature is greater than or equal to the preset threshold comprises: adjusting the running frequency of the compressor in a case where the temperature difference between the indoor temperature correction value at the next time and the indoor target temperature is greater than or equal to the preset threshold, and a running duration of the compressor at the current frequency exceeds a target residence time.

7. The air conditioner control method according to claim 6, characterized by, The method further comprises: obtaining frequency switching data of the compressor in a historical preset time period; adjusting a preset residence time based on the frequency switching data and the temperature prediction error parameter to obtain a target residence time.

8. The air conditioner control method according to claim 5, characterized by, The method further comprises: In a case that a temperature difference between the indoor temperature correction value at the next time and the indoor target temperature is less than a preset threshold, or a running time length of the compressor at the current frequency does not exceed the target residence time, the compressor is controlled to maintain the current running frequency.

9. An air conditioner control device characterized by comprising: The method comprises the following steps: An acquisition module is configured to acquire historical temperature data, the historical temperature data comprising indoor temperature prediction values at a plurality of sampling time points and corresponding indoor temperature measured values; A determination module is configured to determine a temperature prediction error parameter representing a prediction error feature based on a difference between the indoor temperature prediction value and the corresponding indoor temperature measured value; A prediction module is configured to acquire an operating state parameter of the air conditioner at a current time point, and predict an indoor temperature prediction value at a next time point; An adjustment module is configured to adjust a running frequency of the compressor based on the indoor temperature prediction value at the next time point, the temperature prediction error parameter, and an indoor target temperature.

10. An air conditioning system comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, The processor implements the air conditioner control method according to any one of claims 1 to 8 when executing the computer program.

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