Air conditioner control method and device, air conditioner and computer readable storage medium
By acquiring air pressure data and using an air pressure fluctuation model to determine the status of doors and windows, the operating status of the air conditioner can be dynamically adjusted, solving the problem of energy waste when the air conditioner is open for ventilation and improving the energy efficiency and usage efficiency of the air conditioner.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TCL AIR CONDITIONER ZHONGSHAN CO LTD
- Filing Date
- 2026-02-10
- Publication Date
- 2026-05-12
AI Technical Summary
The air conditioner cannot detect when the user opens the window for ventilation and continues to run at full load, resulting in energy waste and increased electricity consumption, and failing to achieve the temperature control target.
By acquiring current air pressure data and using an air pressure fluctuation model to determine the status of doors and windows, the system dynamically adjusts the air conditioning operation and enters energy-saving mode to reduce energy consumption.
This reduces the ineffective energy consumption of air conditioners when windows are open for ventilation, improves the energy efficiency of air conditioners, and reduces operating costs.
Smart Images
Figure CN122015236A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of air conditioning control technology, specifically to an air conditioning control method, device, air conditioner, and computer-readable storage medium. Background Technology
[0002] When users open windows for ventilation, the air conditioning system cannot detect this behavior and continues to operate according to its original settings. This causes the air conditioner's compressor, fan, and other core components to continue working at their original power without interruption, continuously consuming electricity for ineffective temperature control. This not only fails to achieve the intended temperature control target but also results in energy loss and waste. Over time, this increases the user's operating costs. This problem is particularly prominent in scenarios involving daily ventilation in homes and frequent window opening in commercial spaces, becoming a pain point that urgently needs to be addressed in air conditioning use. Summary of the Invention
[0003] This application provides an air conditioning control method, device, air conditioner, and computer-readable storage medium. By dynamically adjusting the operating state of the air conditioner according to the status of doors and windows, the situation where the air conditioner continuously operates at full load for cooling or heating when windows are open for ventilation is reduced, thereby reducing ineffective energy consumption and improving the energy efficiency of the air conditioner.
[0004] In a first aspect, embodiments of this application provide an air conditioning control method, the air conditioning control method comprising: acquiring current air pressure data; determining door and window status information based on the current air pressure data and an air pressure fluctuation model under closed door and window conditions; and controlling the operating state of the air conditioner based on the door and window status information.
[0005] In some embodiments, the air pressure fluctuation model includes at least one of historical average data, historical standard deviation data, and frequency reference data. The air pressure fluctuation model is obtained based on the following steps: acquiring historical air pressure data; the historical air pressure data includes multiple historical air pressure values and the time point corresponding to each historical air pressure value; averaging the multiple historical air pressure values to obtain the historical average data; calculating based on the multiple historical air pressure values and the historical average data to obtain the historical standard deviation data; and analyzing the multiple historical air pressure values and the time point corresponding to each historical air pressure value to obtain the frequency reference data.
[0006] In some embodiments, the step of analyzing and processing the plurality of historical air pressure values and the time points corresponding to each historical air pressure value to obtain the frequency reference data includes: obtaining a first quantity; the first quantity being the number of air pressure peaks present in the plurality of historical air pressure values; obtaining the total time interval of the plurality of historical air pressure values based on the time points corresponding to the plurality of historical air pressure values; and dividing the first quantity by the total time interval to obtain the frequency reference data.
[0007] In some embodiments, determining the door and window status information based on the current air pressure data and the air pressure fluctuation model under closed door and window conditions includes: extracting features from the current air pressure data to obtain fluctuation feature data; and determining the door and window status information based on the fluctuation feature data and the air pressure fluctuation model.
[0008] In some embodiments, the current air pressure data includes multiple current air pressure values and a time point corresponding to each current air pressure value; the fluctuation feature data includes the current fluctuation amplitude and the current maximum frequency; and the step of extracting features from the current air pressure data to obtain the fluctuation feature data includes: averaging the multiple current air pressure values to obtain current average data; calculating the current fluctuation amplitude based on the multiple current air pressure values and the current average data; and determining the current maximum frequency based on the multiple current air pressure values and the time point corresponding to each current air pressure value.
[0009] In some embodiments, the air pressure fluctuation model includes historical standard deviation data and frequency reference data. Determining the door and window status information based on the fluctuation characteristic data and the air pressure fluctuation model includes: when the current fluctuation amplitude is greater than the historical standard deviation data, and the current maximum frequency is less than the frequency reference data, and the duration reaches a time threshold, the door and window status information is determined to be an open door / window status; when the current fluctuation amplitude is less than or equal to the historical standard deviation data, or the current maximum frequency is greater than or equal to the frequency reference data, or the duration does not reach the time threshold, the door and window status information is determined to be a closed door / window status.
[0010] In some embodiments, controlling the operating state of the air conditioner based on the door and window status information includes: controlling the air conditioner to enter energy-saving mode when the door and window status information indicates that the doors and windows are open; and controlling the air conditioner to exit the energy-saving mode when the door and window status information changes from the open state to the closed state.
[0011] Secondly, embodiments of this application provide an air conditioning control device, which includes: an air pressure data acquisition module for acquiring current air pressure data; a door and window status determination module for determining door and window status information based on the current air pressure data and an air pressure fluctuation model under closed door and window conditions; and an air conditioning operation control module for controlling the operation status of the air conditioner based on the door and window status information.
[0012] Thirdly, embodiments of this application provide an air conditioner, the air conditioner including: one or more processors; a memory; and one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the air conditioning control method described in any of the above embodiments.
[0013] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to execute the steps of the air conditioning control method described in any of the above embodiments.
[0014] This application provides an air conditioning control method, device, air conditioner, and computer-readable storage medium. By first acquiring the current air pressure data, then determining the door and window status information based on the current air pressure data and an air pressure fluctuation model under closed door and window conditions, and finally controlling the operation of the air conditioner based on the door and window status information, the air conditioner's operating mode can be dynamically adjusted according to the door and window status. This reduces the situation where the air conditioner continuously operates at full load for cooling or heating when windows are open for ventilation, reduces ineffective energy consumption, and improves the energy efficiency of the air conditioner. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of the present 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 only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 This is a schematic flowchart of an air conditioning control method provided in an embodiment of the present invention;
[0017] Figure 2 This is a flowchart illustrating a method for obtaining a pressure fluctuation model according to an embodiment of the present invention. Figure 3 This is a schematic diagram of air pressure fluctuation characteristics provided in an embodiment of the present invention; Figure 4 This is a flowchart illustrating the specific method of step S2 provided in an embodiment of the present invention; Figure 5 This is a structural block diagram of an air conditioning control device provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0019] In the description of this application, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first," "second," "third," etc., may explicitly or implicitly include one or more features.
[0020] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.
[0021] It should be noted that since the method in this application embodiment is executed in a computer device, the processing objects of each computer device exist in the form of data or information, such as time, which is essentially time information. It is understood that if size, quantity, position, etc. are mentioned in subsequent embodiments, they are all corresponding data that exist so that the computer device can process them. Specific details will not be elaborated here.
[0022] This application provides an air conditioning control method, such as... Figure 1 As shown, the air conditioning control method includes the following steps S1 to S3: Step S1: Obtain the current air pressure data.
[0023] The current air pressure data refers to the ambient air pressure value collected in real time by a barometer. Current air pressure data is usually presented as a time series, including multiple current air pressure values and the corresponding time point for each current air pressure value.
[0024] Specifically, obtaining current air pressure data can be achieved by installing a pressure sensor in the indoor environment or within an air conditioner. This pressure sensor is configured to periodically collect ambient air pressure values; for example, it can be set to collect air pressure values every few seconds or minutes and record these air pressure values along with the time of collection.
[0025] Step S2: Determine the status information of doors and windows based on the current air pressure data and the air pressure fluctuation model under closed door and window conditions.
[0026] Among them, the air pressure fluctuation model is a mathematical model or data set that shows the characteristics of indoor air pressure changes over time when doors and windows are closed.
[0027] Door and window status information refers to the judgment result of whether the interior doors and windows are open or closed. Door and window status information includes the open status and closed status of doors and windows.
[0028] Specifically, the air pressure fluctuation model under closed door and window conditions can be a pre-set static air pressure reference value or a fixed air pressure range. For example, during air conditioner installation or calibration, an average air pressure value is recorded as a static air pressure reference value in a stable environment with doors and windows completely closed, or an air pressure fluctuation range is recorded as a fixed air pressure range, serving as the benchmark under closed door and window conditions. After obtaining the current air pressure data, this current air pressure data is directly compared with the static air pressure reference value or the fixed air pressure range. For example, if the current air pressure data is greater than the static air pressure reference value or exceeds the fixed air pressure range, it can be determined that the current condition is that the doors and windows are open; otherwise, it can be determined that the current condition is that the doors and windows are closed.
[0029] In some embodiments, the pressure fluctuation model includes at least one of historical average data, historical standard deviation data, and frequency reference data, and the pressure fluctuation model is obtained based on the following steps: Figure 2 As shown, the specific steps include S41 to S44: Step S41: Obtain historical air pressure data; historical air pressure data includes multiple historical air pressure values and the time point corresponding to each historical air pressure value.
[0030] Historical air pressure data refers to the ambient air pressure values collected in real time by air pressure sensors when doors and windows are closed. Historical air pressure data is usually in the form of a time series, including historical air pressure values and the time point corresponding to each historical air pressure value.
[0031] Step S42: Average multiple historical air pressure values to obtain historical average data.
[0032] Historical average data is used to characterize the long-term average level of air pressure when doors and windows are closed, providing a reference for the benchmark value of air pressure.
[0033] Specifically, step S42, averaging multiple historical air pressure values to obtain historical average data, can be expressed as: Avg1 = (1 / N) Σdata[i]; where (i ranges from 1 to N). Here, Avg1 represents the historical average data, N represents the number of historical air pressure values, Σ is the summation operation, and data[i] represents the i-th historical air pressure value.
[0034] Step S43: Calculate based on multiple historical air pressure values and historical average data to obtain historical standard deviation data.
[0035] Among them, historical standard deviation data is used to quantify the dispersion or amplitude of air pressure fluctuations when doors and windows are closed, reflecting the range of air pressure fluctuations when doors and windows are closed.
[0036] Specifically, step S43, which calculates historical standard deviation data based on multiple historical air pressure values and historical average data, can be expressed as: o = sqrt((1 / N) Σ(data[i]-Avg1)^2). Where o represents the historical standard deviation data, sqrt represents the square root operation, N represents the number of historical air pressure values, data[i] represents the i-th historical air pressure value, and Avg1 represents the historical average data.
[0037] Step S44: Analyze and process multiple historical air pressure values and the time points corresponding to each historical air pressure value to obtain frequency reference data.
[0038] The frequency reference data is used to characterize the frequency characteristics of air pressure fluctuations when doors and windows are closed. For example, it can indicate the number of air pressure fluctuations or the periodicity of air pressure per unit time.
[0039] In some embodiments, step S44 above, analyzing and processing multiple historical air pressure values and the time points corresponding to each historical air pressure value to obtain frequency reference data, includes: obtaining a first quantity; the first quantity is the number of air pressure peaks present in the multiple historical air pressure values; obtaining the total time interval of the multiple historical air pressure values according to the time points corresponding to the multiple historical air pressure values; dividing the first quantity and the total time interval to obtain the frequency reference data.
[0040] Here, the first quantity represents the number of pressure peaks detected among multiple historical pressure values. A pressure peak refers to a point where the pressure value reaches a local maximum over a period of time, reflecting a significant change in pressure fluctuations. Various signal processing methods can be used to accurately identify pressure peaks. For example, peaks can be detected by comparing adjacent data points or using a sliding window algorithm. A data point is typically identified as a peak if its value is higher than the average of a certain number of data points before and after it, or higher than a preset threshold.
[0041] The total time interval refers to the total duration spanning from the earliest to the latest time point among multiple historical air pressure values.
[0042] Specifically, the average frequency of air pressure fluctuations when doors and windows are closed is quantified by dividing the number of detected air pressure peaks by the total time interval. For example, if 10 air pressure peaks are detected within 10 minutes (600 seconds), the frequency reference data is 10 times / 600 seconds = 0.0167 times / second.
[0043] In practical applications, such as Figure 3 As shown, experiments revealed that the air pressure waveform is located when doors and windows are closed. Figure 3 The air pressure waveform is located in the stable fluctuation range when the doors and windows are open. Figure 3 The diagram shows the characteristic fluctuation region. As can be seen from the diagram, the frequency of air pressure changes in the stable fluctuation region is greater than that in the characteristic fluctuation region. The amplitude of fluctuations in the stable fluctuation region is smaller than that in the characteristic fluctuation region. Therefore, the open and closed states of doors and windows can be distinguished by the amplitude and frequency of air pressure fluctuations.
[0044] In some embodiments, such as Figure 4 As shown, step S2 above, based on the current air pressure data and the air pressure fluctuation model under closed door and window conditions, determines the door and window status information, including: Step S21: Extract features from the current air pressure data to obtain fluctuation feature data.
[0045] Among them, the fluctuation feature data is the feature data obtained after extracting features from the current air pressure data.
[0046] Specifically, feature extraction may include preprocessing the current air pressure data (e.g., filtering, detrending), then calculating its statistical characteristics (e.g., mean), or performing time-domain or frequency-domain analysis to obtain features such as the amplitude and frequency of air pressure fluctuations.
[0047] In some embodiments, the current air pressure data includes multiple current air pressure values and the time point corresponding to each current air pressure value, and the fluctuation feature data includes the current fluctuation amplitude and the current maximum frequency. Step S21 above, extracting features from the current air pressure data to obtain the fluctuation feature data, includes: averaging multiple current air pressure values to obtain current average data; calculating the current fluctuation amplitude based on the multiple current air pressure values and the current average data; and determining the current maximum frequency based on the multiple current air pressure values and the time point corresponding to each current air pressure value.
[0048] The current average data is used to characterize the average air pressure level of the current air pressure data.
[0049] Specifically, the method of averaging multiple current air pressure values to obtain the current average data can be expressed as: Avg2 = (1 / N) ΣP[i]; where (i ranges from 1 to N). Here, Avg2 represents the current average data, N represents the number of current average data points, Σ is the summation operation, and P[i] represents the i-th current air pressure value.
[0050] The current fluctuation amplitude is used to quantify the dispersion or amplitude of the current air pressure fluctuation data, reflecting the fluctuation range of the current air pressure data.
[0051] Specifically, the method for calculating the current fluctuation range based on multiple current air pressure values and current average data can be expressed as: A = sqrt((1 / 60) Σ(P[i] -Avg2)^2). Where A represents the current fluctuation range, sqrt represents the square root operation, N represents the number of current air pressure values, P[i] represents the i-th current air pressure value, and Avg2 represents the current average data.
[0052] The current maximum frequency refers to the frequency value with the most significant fluctuation in the current air pressure data.
[0053] Specifically, based on multiple current air pressure values and the corresponding time points for each current air pressure value, the maximum current frequency can be determined. By analyzing the frequency components of the air pressure data, these characteristics can be identified more accurately. For example, signal processing techniques such as Fourier transform (e.g., Fast Fourier Transform, FFT) or wavelet analysis can be used to convert the time-domain air pressure data to the frequency domain, and then the frequency component with the largest energy or amplitude can be identified as the maximum current frequency.
[0054] Step S22: Determine the status information of doors and windows based on the fluctuation characteristic data and air pressure fluctuation model.
[0055] Specifically, air pressure fluctuation models typically include typical characteristics or thresholds of air pressure fluctuations when doors and windows are closed, such as historical average data, historical standard deviation data, or frequency reference data. Information about the status of doors and windows is determined by comparing the currently extracted fluctuation feature data with these parameters in the model.
[0056] In some embodiments, the air pressure fluctuation model includes historical standard deviation data and frequency reference data. Step S22 above, determining the door and window status information based on the fluctuation characteristic data and the air pressure fluctuation model, includes: when the current fluctuation amplitude is greater than the historical standard deviation data, and the current maximum frequency is less than the frequency reference data, and the duration reaches a time threshold, the door and window status information is determined to be the open state; when the current fluctuation amplitude is less than or equal to the historical standard deviation data, or the current maximum frequency is greater than or equal to the frequency reference data, or the duration does not reach the time threshold, the door and window status information is determined to be the closed state.
[0057] The duration refers to the length of time during which the current fluctuation amplitude is greater than the historical standard deviation data and the current maximum frequency is less than the frequency reference data.
[0058] The time threshold is a preset duration reference value. It is used to determine that the aforementioned conditions, such as the current fluctuation amplitude and maximum current frequency, are not brief, instantaneous fluctuations, but rather a sustained, stable state. The time threshold value can be set according to actual needs; for example, it can be set to 30 seconds.
[0059] like Figure 3 It can be seen that when the doors and windows are open, the corresponding Figure 3 The characteristic fluctuation zone in the air pressure is typically characterized by increased air pressure fluctuation amplitude (greater than historical standard deviation data), and its main fluctuation frequency is lower than the average frequency when doors and windows are closed (the current maximum frequency is less than the frequency reference data), and this state persists for a period of time (reaching a time threshold). This embodiment uses a multi-condition judgment mechanism to reduce misjudgments that may be caused by a single indicator, making the determination of door and window status information more accurate and reliable.
[0060] Step S3: Control the operation status of the air conditioner based on the door and window status information.
[0061] The operating status of an air conditioner refers to its current working mode or power output level. This can include various states such as cooling, heating, fan operation, standby, and energy-saving mode.
[0062] In some embodiments, step S3, controlling the operating state of the air conditioner based on the door and window status information, includes: controlling the air conditioner to enter the energy-saving mode when the door and window status information indicates that the door and window are open; and controlling the air conditioner to exit the energy-saving mode when the door and window status information changes from the open state to the closed state.
[0063] The energy-saving mode is a working mode designed to reduce the energy consumption of the air conditioner. This mode can be implemented in various ways. For example, the air conditioner's operating power can be automatically reduced, the compressor's operating frequency or duration can be limited, or the target temperature setpoint can be adjusted to a wider range, such as raising the target temperature by 2-4 degrees Celsius during cooling and lowering it by 2-4 degrees Celsius during heating. Furthermore, energy consumption can be further reduced by lowering the fan speed or closing some air vents. These specific energy-saving strategies can be dynamically adjusted based on factors such as the type of air conditioner, the indoor-outdoor temperature difference, and user preferences.
[0064] Specifically, when the door / window status information indicates that the door / window is open, a command can be sent to the air conditioning control module to immediately stop the air conditioner from cooling or heating, or to switch its operating mode to a preset low-power mode, such as only providing ventilation. When the door / window status information changes from open to closed, the air conditioner is controlled to exit energy-saving mode and can be restored to the operating mode and parameters previously set by the user.
[0065] This application provides an air conditioning control method. First, it acquires the current air pressure data, then determines the door and window status information based on the current air pressure data and the air pressure fluctuation model when the doors and windows are closed, and finally controls the operation of the air conditioner based on the door and window status information. This achieves dynamic adjustment of the air conditioner's working mode according to the door and window status, reduces the situation where the air conditioner continuously operates at full load for cooling or heating when the windows are open for ventilation, reduces ineffective energy consumption, and improves the energy efficiency of the air conditioner.
[0066] This application embodiment also provides an air conditioning control device 400, such as... Figure 5 As shown, the air conditioning control device 400 includes: The air pressure data acquisition module 401 is used to acquire the current air pressure data; The door and window status determination module 402 is used to determine the door and window status information based on the current air pressure data and the air pressure fluctuation model under the closed state of the doors and windows; The air conditioning operation control module 403 is used to control the operation status of the air conditioner based on the door and window status information.
[0067] In some embodiments, the air pressure fluctuation model includes at least one of historical average data, historical standard deviation data, and frequency reference data. The air conditioning control device 400 further includes an air pressure model acquisition module, which is used to: acquire historical air pressure data; the historical air pressure data includes multiple historical air pressure values and the time point corresponding to each historical air pressure value; perform an average calculation on the multiple historical air pressure values to obtain historical average data; perform calculations based on the multiple historical air pressure values and the historical average data to obtain historical standard deviation data; and analyze and process the multiple historical air pressure values and the time point corresponding to each historical air pressure value to obtain frequency reference data.
[0068] In some embodiments, the air pressure model acquisition module is further configured to: acquire a first quantity; the first quantity is the number of air pressure peaks present in multiple historical air pressure values; obtain the total time interval of multiple historical air pressure values based on the time points corresponding to the multiple historical air pressure values; divide the first quantity and the total time interval to obtain frequency reference data.
[0069] In some embodiments, the door and window status determination module 402 is further configured to: extract features from the current air pressure data to obtain fluctuation feature data; and determine the door and window status information based on the fluctuation feature data and the air pressure fluctuation model.
[0070] In some embodiments, the current air pressure data includes multiple current air pressure values and the time point corresponding to each current air pressure value, and the fluctuation characteristic data includes the current fluctuation amplitude and the current maximum frequency. The door and window status determination module 402 is further configured to: perform an average calculation on the multiple current air pressure values to obtain current average data; perform calculations based on the multiple current air pressure values and the current average data to obtain the current fluctuation amplitude; and determine the current maximum frequency based on the multiple current air pressure values and the time point corresponding to each current air pressure value.
[0071] In some embodiments, the door and window status determination module 402 further includes: when the current fluctuation amplitude is greater than the historical standard deviation data, and the current maximum frequency is less than the frequency reference data, and the duration reaches the time threshold, the door and window status information is determined to be the door and window open state; when the current fluctuation amplitude is less than or equal to the historical standard deviation data, or the current maximum frequency is greater than or equal to the frequency reference data, or the duration does not reach the time threshold, the door and window status information is determined to be the door and window closed state.
[0072] In some embodiments, the air conditioning operation control module 403 is further configured to: control the air conditioner to enter the energy-saving mode when the door and window status information is in the open state; and control the air conditioner to exit the energy-saving mode when the door and window status information changes from the open state to the closed state.
[0073] This application also provides an air conditioner, which includes one or more processors, a memory, and one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the air conditioning control method in any of the above embodiments.
[0074] This application also provides an electronic device that integrates any of the air conditioning control devices provided in this application. For example... Figure 6 As shown, it illustrates a structural schematic diagram of the electronic device involved in the embodiments of this application, specifically: The electronic device may include components such as a processor 801 with one or more processing cores, a memory 802 with one or more computer-readable storage media, a power supply 803, and an input unit 804. Those skilled in the art will understand that... Figure 6 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 801 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 802, and by calling data stored in the memory 802, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Optionally, the processor 801 may include one or more processing cores; preferably, the processor 801 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 801.
[0075] The memory 802 can be used to store software programs and modules. The processor 801 executes various functional applications and data processing by running the software programs and modules stored in the memory 802. The memory 802 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 802 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 802 may also include a memory controller to provide the processor 801 with access to the memory 802.
[0076] The electronic device also includes a power supply 803 that supplies power to the various components. Preferably, the power supply 803 can be logically connected to the processor 801 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 803 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.
[0077] The electronic device may also include an input unit 804, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
[0078] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 801 in the electronic device loads the executable files corresponding to the processes of one or more application programs into the memory 802 according to the following instructions, and the processor 801 runs the application programs stored in the memory 802 to realize various functions, such as: Get the current air pressure data; Based on the current air pressure data and the air pressure fluctuation model with doors and windows closed, determine the status information of doors and windows; The air conditioner's operating status is controlled based on the status information of doors and windows.
[0079] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.
[0080] Therefore, embodiments of this application provide a computer-readable storage medium, which may include: read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk, etc. A computer program is stored thereon, and the computer program is loaded by a processor to execute the steps in any of the air conditioning control methods provided in embodiments of this application. For example, the computer program loaded by the processor can execute the following steps: Get the current air pressure data; Based on the current air pressure data and the air pressure fluctuation model with doors and windows closed, determine the status information of doors and windows; The air conditioner's operating status is controlled based on the status information of doors and windows.
[0081] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the detailed descriptions of other embodiments above, which will not be repeated here.
[0082] In practice, each of the above units or structures can be implemented as an independent entity or can be arbitrarily combined to be implemented as the same or several entities. For the specific implementation of each of the above units or structures, please refer to the previous method embodiments, which will not be repeated here.
[0083] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.
[0084] The above provides a detailed description of an air conditioning control method, apparatus, air conditioner, and computer-readable storage medium provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.
Claims
1. An air conditioning control method, characterized in that, The air conditioning control method includes: Get the current air pressure data; Based on the current air pressure data and the air pressure fluctuation model under closed door and window conditions, determine the door and window status information; Based on the door and window status information, the operating status of the air conditioner is controlled.
2. The air conditioning control method according to claim 1, characterized in that, The pressure fluctuation model includes at least one of historical average data, historical standard deviation data, and frequency reference data, and is obtained based on the following steps: Acquire historical air pressure data; the historical air pressure data includes multiple historical air pressure values and the time point corresponding to each historical air pressure value; The historical air pressure values are averaged to obtain the historical average data. The historical standard deviation data is obtained by calculating based on the multiple historical air pressure values and the historical average data; The frequency reference data is obtained by analyzing and processing the multiple historical air pressure values and the time points corresponding to each historical air pressure value.
3. The air conditioning control method according to claim 2, characterized in that, The process of analyzing and processing the multiple historical air pressure values and the time points corresponding to each historical air pressure value to obtain the frequency reference data includes: Obtain a first quantity; the first quantity is the number of pressure peaks present among the plurality of historical pressure values; Based on the time points corresponding to the multiple historical air pressure values, the total time interval of the multiple historical air pressure values is obtained; The frequency reference data is obtained by dividing the first quantity by the total time interval.
4. The air conditioning control method according to claim 1, characterized in that, The determination of door and window status information based on the current air pressure data and the air pressure fluctuation model with doors and windows closed includes: Feature extraction is performed on the current air pressure data to obtain fluctuation feature data; Based on the fluctuation characteristic data and the air pressure fluctuation model, the status information of doors and windows is determined.
5. The air conditioning control method according to claim 4, characterized in that, The current air pressure data includes multiple current air pressure values and the time point corresponding to each current air pressure value. The fluctuation feature data includes the current fluctuation amplitude and the current maximum frequency. The feature extraction of the current air pressure data to obtain the fluctuation feature data includes: The average of the multiple current air pressure values is calculated to obtain the current average data; The current fluctuation range is obtained by calculating based on the multiple current air pressure values and the current average data; The maximum value of the current frequency is determined based on the multiple current air pressure values and the time point corresponding to each current air pressure value.
6. The air conditioning control method according to claim 5, characterized in that, The air pressure fluctuation model includes historical standard deviation data and frequency reference data. Determining the door and window status information based on the fluctuation characteristic data and the air pressure fluctuation model includes: When the current fluctuation amplitude is greater than the historical standard deviation data, the current maximum frequency is less than the frequency reference data, and the duration reaches a time threshold, the door and window status information is determined to be the door and window open state. When the current fluctuation amplitude is less than or equal to the historical standard deviation data, or the current maximum frequency value is greater than or equal to the frequency reference data, or the duration does not reach the time threshold, the door and window status information is determined to be in a closed state.
7. The air conditioning control method according to claim 1, characterized in that, The step of controlling the air conditioner's operating status based on the door and window status information includes: When the door and window status information indicates that the doors and windows are open, control the air conditioner to enter energy-saving mode; When the door and window status information changes from the open state to the closed state, the air conditioner is controlled to exit the energy-saving mode.
8. An air conditioning control device, characterized in that, The air conditioning control device includes: The air pressure data acquisition module is used to acquire the current air pressure data; The door and window status determination module is used to determine the door and window status information based on the current air pressure data and the air pressure fluctuation model under the closed state of the doors and windows; An air conditioning operation control module is used to control the operation status of the air conditioner based on the door and window status information.
9. An air conditioner, characterized in that, The air conditioner includes: one or more processors; a memory; and one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the air conditioning control method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, It stores a computer program, which is loaded by a processor to execute the steps of the air conditioning control method according to any one of claims 1 to 7.