Control method and control device of air conditioner and air conditioner

Abstract

The application provides a control method and device of an air conditioner and the air conditioner. The method comprises: obtaining a set temperature value and an actual temperature value; obtaining environmental information when the temperature is rising and the actual temperature value is greater than the set temperature value or when the temperature is falling and the actual temperature value is less than the set temperature value; establishing a first temperature field model and a second temperature field model according to the actual temperature value, the set temperature value and the environmental information; comparing the color brightness of the first temperature field model and the second temperature field model, and adjusting the operation parameters of the air conditioner according to the comparison result, so that the temperature in a predetermined space reaches the set temperature value after a predetermined time period. Through the application, the problem that the air conditioner cannot be adjusted according to the actual indoor environmental information in the prior art is solved.

Description

Technical Field

[0001] This application relates to the field of intelligent control of air conditioners, and more specifically, to a control method, control device, computer-readable storage medium, and air conditioner for an air conditioner. Background Technology

[0002] With the continuous development of air conditioning control technology, the comfort control technology of air conditioning systems is also gradually improving. Comfort is the human body's response to and understanding of the environment, and the main influencing factor on indoor comfort is the indoor temperature distribution. Due to differences in building structure, air conditioner installation location, and the layout of objects in an air-conditioned environment, manually adjusting the air conditioner's airflow direction and temperature only provides a broad, coarse adjustment and cannot intelligently adjust to specific indoor environmental conditions and characteristics. For example, it cannot automatically adjust the angle of the air guide vane based on the user's location, and after the air conditioner has been running at the user's set temperature for a period of time, the temperature may become too high or too low. Existing air conditioning control methods cannot intelligently regulate these issues, thus failing to better meet users' needs for environmental comfort.

[0003] Therefore, there is a need for a method that can automatically adjust the operation of the air conditioner to meet the user's needs when the indoor temperature is lower or higher than the set temperature. Summary of the Invention

[0004] The main objective of this application is to provide an air conditioning control method, control device, computer-readable storage medium, and air conditioner, so as to at least solve the problem in the prior art that the air conditioner is difficult to automatically adjust to meet the user's needs when the indoor temperature is lower or higher than the set temperature.

[0005] To achieve the above objectives, according to one aspect of this application, an air conditioning control method is provided, comprising: acquiring a set temperature value and an actual temperature value, wherein the set temperature value is a set air conditioning temperature value, and the actual temperature value is the temperature value within a predetermined space after the air conditioning operates at the set temperature value, the predetermined space being the space where a user is located; acquiring environmental information when the temperature rises and the actual temperature value is greater than the set temperature value, or when the temperature drops and the actual temperature value is less than the set temperature value, wherein the environmental information is the size information of the predetermined space; establishing a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value, and the environmental information, wherein the first temperature field model is used to represent the actual temperature distribution within the predetermined space, and the second temperature field model is used to simulate the temperature distribution within the predetermined space under the set temperature value, and the color brightness of the temperature field model represents the temperature level; comparing the color brightness of the first temperature field model and the second temperature field model, and adjusting the air conditioning operating parameters according to the comparison result, such that after a predetermined time period, the temperature within the predetermined space reaches the set temperature value, wherein the air conditioning operating parameters include at least temperature.

[0006] Optionally, the environmental information includes multiple types, including the user's location information, the size information of objects within the predetermined space, the location information of the objects within the predetermined space, and the user's size information. Adjusting the air conditioning operating parameters based on the comparison results includes: obtaining adjustment parameters, wherein the adjustment parameters are used to adjust weight coefficients, and the weight coefficients represent the importance of each piece of environmental information in adjusting the air conditioning operating parameters; adjusting the adjustment parameters based on the comparison results, and calculating the weight coefficients based on the adjusted adjustment parameters to obtain a target weight coefficient; and determining the target operating parameters based on the target weight coefficients.

[0007] Optionally, adjusting the adjustment parameter according to the comparison result and calculating the weight coefficient according to the adjusted adjustment parameter to obtain the target weight coefficient includes: obtaining the adjustment coefficient corresponding to each weight coefficient, wherein the adjustment coefficient represents the adjustment degree of each weight coefficient, and the sum of all the adjustment coefficients is 0; when the comparison result indicates that the actual temperature value is greater than the set temperature value, increasing the adjustment parameter to obtain a first adjustment parameter, calculating the product of the first adjustment parameter and each adjustment coefficient to obtain a first product coefficient corresponding to each weight coefficient, and adding each weight coefficient to the corresponding first product coefficient to obtain the target weight coefficient; when the comparison result indicates that the actual temperature value is less than the set temperature value, decreasing the adjustment parameter to obtain a second adjustment parameter, calculating the product of the second adjustment parameter and each adjustment coefficient to obtain a second product coefficient corresponding to each weight coefficient, and adding each weight coefficient to the corresponding second product coefficient to obtain the target weight coefficient.

[0008] Optionally, determining the target operating parameters based on the target weight coefficient includes: performing similarity matching between each piece of environmental information and the corresponding preset environmental information in each group of preset environmental information to obtain the similarity of each piece of preset environmental information; adding the similarities of all the preset environmental information in each group of preset environmental information to obtain the total similarity of each group of preset environmental information, wherein the preset environmental information corresponds one-to-one with the air conditioning operating parameters; comparing the magnitudes of multiple total similarities, and determining the air conditioning operating parameters corresponding to the group of preset environmental information with the largest total similarity as the target operating parameters.

[0009] Optionally, performing similarity matching between each piece of environmental information and the corresponding preset environmental information in each group of preset environmental information to obtain the similarity of each preset environmental information includes: normalizing each piece of environmental information to obtain normalized environmental information; calculating the Euclidean distance between each normalized piece of environmental information and the corresponding preset environmental information in each group of preset environmental information to obtain the similarity of each preset environmental information.

[0010] Optionally, obtaining environmental information includes: obtaining three-dimensional point cloud data of the predetermined space; generating a three-dimensional reconstruction model of the predetermined space using the three-dimensional point cloud data, and at least labeling the user in the three-dimensional reconstruction model to obtain labeling information; and calculating at least the user's location information based on the labeling information to obtain at least one piece of environmental information.

[0011] Optionally, establishing a first temperature field model based on the actual temperature value and the environmental information, and establishing a second temperature field model based on the set temperature value and the environmental information, includes: inputting the actual temperature value and the environmental information into a simulation model to generate a three-dimensional temperature field model with color brightness corresponding to the actual temperature value, thus obtaining the first temperature field model, wherein the simulation model is used to simulate the temperature and airflow distribution within the predetermined space; and inputting the set temperature value and the environmental information into the simulation model to generate a three-dimensional temperature field model with color brightness corresponding to the set temperature value, thus obtaining the second temperature field model.

[0012] According to another aspect of this application, an air conditioner control device is provided, comprising: a measuring unit for acquiring a set temperature value and an actual temperature value, wherein the set temperature value is a set air conditioner temperature value, and the actual temperature value is the temperature value within a predetermined space after the air conditioner operates at the set temperature value, the predetermined space being the space where a user is located; an acquiring unit for acquiring environmental information when the actual temperature value is greater than the set temperature value or when the actual temperature value is less than the set temperature value, wherein the environmental information is the size information of the predetermined space; a building unit for building a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value, and the environmental information, wherein the first temperature field model represents the actual temperature distribution within the predetermined space, the second temperature field model simulates the temperature distribution within the predetermined space at the set temperature value, and the color brightness of the temperature field model represents the temperature level; and an adjusting unit for comparing the color brightness of the first temperature field model and the second temperature field model, and adjusting the air conditioner operating parameters according to the comparison result, such that the temperature within the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioner operating parameters include at least temperature.

[0013] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the control methods described above.

[0014] According to another aspect of this application, an air conditioner is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including methods for performing any of the control methods described above.

[0015] By applying the technical solution of this application, a set temperature value and an actual temperature value are obtained. When the user's demand is to increase the temperature and the actual temperature value is greater than the set temperature value, or when the user's demand is to decrease the temperature and the actual temperature value is less than the set temperature value, environmental information such as the size information of the predetermined space is obtained. A first temperature field model is established based on the actual temperature value and the environmental information, and a second temperature field model is established based on the set temperature value and the environmental information. The color brightness of the first temperature field model and the second temperature field model is compared. The temperature of the first temperature field model and the second temperature field model can be determined by the color brightness. The operating parameters of the air conditioner are automatically adjusted according to the temperature comparison results so that the temperature in the predetermined space can be maintained at the set temperature value. In contrast to existing technologies, after an air conditioner operates according to the user's set temperature, it cannot adjust its operating parameters based on the actual indoor temperature and environmental information, potentially leading to excessively high or low temperatures. This application addresses this by adjusting the air conditioner's operating parameters based on the set temperature, actual temperature, and environmental information. Since the impact of different dimensions on temperature adjustment varies across different spaces, this application can determine the most suitable air conditioner operating parameters for the dimensions of the space, taking into account environmental information such as the dimensions of the space. This makes the air conditioner's adjustment more targeted, improves its accuracy, and ultimately enhances the user experience. Therefore, it solves the problem in existing technologies where automatic adjustment is not possible when the indoor temperature is below or above the set temperature, achieving the goal of automatic air conditioner control. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for performing an air conditioning control method according to an embodiment of this application is shown;

[0018] Figure 2 A schematic flowchart of an air conditioner control method provided in an embodiment of this application is shown;

[0019] Figure 3 A flowchart illustrating a specific air conditioning control method provided in an embodiment of this application is shown.

[0020] Figure 4 This illustration shows a schematic diagram of environmental information matching in a specific air conditioning control method provided by an embodiment of this application;

[0021] Figure 5 A schematic diagram of a temperature field simulation model in a specific air conditioning control method provided by an embodiment of this application is shown.

[0022] Figure 6 A schematic diagram of a gas flow field simulation model in a specific air conditioning control method provided by an embodiment of this application is shown;

[0023] Figure 7 A structural block diagram of an air conditioner control device provided in an embodiment of this application is shown.

[0024] The above figures include the following reference numerals:

[0025] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. Detailed Implementation

[0026] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] As described in the background section, existing technologies have problems with air conditioners automatically adjusting to meet user needs when the indoor temperature is lower or higher than the set temperature. Embodiments of this application provide an air conditioner control method, control device, computer-readable storage medium, and air conditioner.

[0030] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0031] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for an air conditioner control method according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0032] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the air conditioner control method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0033] This embodiment provides a method for controlling an air conditioner that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0034] Figure 2 This is a flowchart of an air conditioner control method according to an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0035] Step S201: Obtain the set temperature value and the actual temperature value, wherein the set temperature value is the set air conditioner temperature value, and the actual temperature value is the temperature value in the predetermined space after the air conditioner operates according to the set temperature value, and the predetermined space is the space where the user is located.

[0036] Specifically, when a user turns on the air conditioner in their space, they usually set a temperature. Assuming the space where the user is located is a predetermined space, the temperature set by the user is taken as the set temperature value. After the air conditioner runs according to the set temperature value, the indoor temperature value will obviously change. Temperature sensors are placed in different locations in the room, and the actual temperature value is measured in real time by the temperature sensors at different locations. In the specific implementation process, the multiple temperature values ​​measured by the temperature sensors at different locations at the same time can be averaged to obtain an actual temperature value.

[0037] Step S202: When the temperature rises and the actual temperature value is greater than the set temperature value, or when the temperature drops and the actual temperature value is less than the set temperature value, environmental information is obtained, wherein the environmental information is the size information of the predetermined space.

[0038] Specifically, when heating (i.e., when the user needs to raise the temperature), the actual temperature in the designated space rises. If the actual temperature exceeds the set temperature, it indicates that the actual temperature is higher than the user's desired temperature. Conversely, when cooling (i.e., when the user needs to lower the temperature), the actual temperature in the designated space decreases. If the actual temperature falls below the set temperature, it indicates that the actual temperature is lower than the user's desired temperature. In both cases, if the air conditioner continues to operate at the set temperature, the actual temperature will gradually deviate from the user's desired temperature, requiring adjustment.

[0039] Step S203: Establish a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value and the environmental information. The first temperature field model is used to represent the actual temperature distribution in the predetermined space, and the second temperature field model is used to simulate the temperature distribution in the predetermined space under the set temperature value. The color brightness of the temperature field model represents the temperature level.

[0040] Specifically, after obtaining environmental information, a first temperature field model is established based on the actual temperature values ​​and environmental information. The actual temperature values ​​are measured by temperature sensors placed at different locations within a predetermined space. This first temperature field model, reflecting the actual temperature distribution within the predetermined space, is built based on the actual temperature values ​​at different locations combined with environmental information. Similarly, a second temperature field model is established based on a set temperature value and environmental information. This second temperature field model reflects the indoor temperature distribution under a set temperature condition. The temperature distribution within the predetermined space at the set temperature value is the temperature distribution corresponding to that set temperature value. In the temperature field model, temperature can be represented by color brightness, i.e., the lightness or darkness of a color. For example, lower color brightness (darker color) indicates a lower temperature at that location, while higher color brightness (lighter color) indicates a higher temperature. Of course, in different ways of expressing the temperature field model, higher color brightness (lighter color) can also indicate a lower temperature at that location, and lower color brightness (darker color) can indicate a higher temperature at that location.

[0041] Step S204: Compare the color brightness of the first temperature field model and the second temperature field model, and adjust the air conditioning operating parameters according to the comparison results, so that the temperature in the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioning operating parameters include at least temperature.

[0042] Specifically, after establishing the first temperature field model and the second temperature field model, the color brightness of the temperature field model is different due to the different temperatures. Therefore, the color brightness of the first temperature field model and the second temperature field model are compared, and the operating parameters of the air conditioner are adjusted according to the comparison results of the above temperatures, so that after adjusting the operating parameters, the actual temperature value of the predetermined space can be maintained at the set temperature value.

[0043] In this embodiment, a set temperature value and an actual temperature value are obtained. When the user's demand is to increase the temperature and the actual temperature value is greater than the set temperature value, or when the user's demand is to decrease the temperature and the actual temperature value is less than the set temperature value, environmental information such as the size information of the predetermined space is obtained. A first temperature field model is established based on the actual temperature value and the environmental information, and a second temperature field model is established based on the set temperature value and the environmental information. The color brightness of the first temperature field model and the second temperature field model is compared. The temperature of the first temperature field model and the second temperature field model can be determined by the color brightness. The operating parameters of the air conditioner are automatically adjusted according to the temperature comparison results so that the temperature in the predetermined space can be maintained at the set temperature value. In contrast to existing technologies, after an air conditioner operates according to the user's set temperature, it cannot adjust its operating parameters based on the actual indoor temperature and environmental information, potentially leading to excessively high or low temperatures. This application addresses this by adjusting the air conditioner's operating parameters based on the set temperature, actual temperature, and environmental information. Since the impact of different dimensions on temperature adjustment varies across different spaces, this application can determine the most suitable air conditioner operating parameters for the dimensions of the space, taking into account environmental information such as the dimensions of the space. This makes the air conditioner's adjustment more targeted, improves its accuracy, and ultimately enhances the user experience. Therefore, it solves the problem in existing technologies where automatic adjustment is not possible when the indoor temperature is below or above the set temperature, achieving the goal of automatic air conditioner control.

[0044] In the specific implementation process, there are multiple pieces of environmental information, including the user's location information, the size information of objects within the predetermined space, the location information of the objects within the predetermined space, and the user's size information. The air conditioning operating parameters are adjusted based on the comparison results. Step S204 can be achieved through the following steps: obtaining adjustment parameters, wherein the adjustment parameters are used to adjust weight coefficients, and the weight coefficients represent the importance of each piece of environmental information in adjusting the air conditioning operating parameters; adjusting the adjustment parameters according to the comparison results, and calculating the weight coefficients based on the adjusted adjustment parameters to obtain a target weight coefficient; and determining the target operating parameters based on the target weight coefficients. This method adjusts the weight coefficients by changing the size of the adjustment parameters, and determines the target operating parameters, i.e., the air conditioning operating parameters, based on the adjusted weight coefficients. This allows the target operating parameters to be determined based on the importance of different environmental information to the air conditioning operating parameters, i.e., the weight coefficients, making the adjustment of the target operating parameters more reasonable. Furthermore, when the air conditioning operates according to the adjusted target operating parameters, the user's comfort is improved.

[0045] In some optional implementations, the environmental information includes not only the size information of the predetermined space, but also the user's location information, the size information of objects within the predetermined space, and the user's size information. Different environmental information has varying degrees of impact on the comfort adjustment of the air conditioner. For example, the size of the predetermined space has the greatest impact on temperature adjustment; that is, when the predetermined space is small, a small adjustment to the temperature is sufficient, while when the predetermined space is large, a large adjustment is required to achieve the desired effect. The same applies to other environmental information. Therefore, it is necessary to assign corresponding weights to different environmental information. For example, the weight coefficients for the size information of the predetermined space, the size information of objects within the predetermined space, the user's size information, the location information of objects within the predetermined space, and the user's location information are 0.35, 0.15, 0.1, 0.25, and 0.15, respectively. Of course, the weight coefficients can also be other reasonable values ​​in practical applications, but it is necessary to ensure that the sum of the weight coefficients for all environmental information is 1. That is, this application does not impose specific limitations on the values ​​of the above weight coefficients. Since environmental information also includes user location information, the air conditioner's operating parameters related to airflow direction, such as the air deflector angle, can be adjusted based on this information. For example, if the user is an elderly person or a child, the air deflector can be controlled to prevent direct airflow towards them; if the user is a young person, the air deflector can be controlled to blow directly towards them. Of course, the air deflector control method can be set according to actual conditions. By controlling the air conditioner's temperature and air deflector angle, comprehensive automatic regulation of the air conditioning parameters can be achieved.

[0046] To calculate the target weight coefficient, step S204 of the present application can also be implemented through the following steps: Obtain the adjustment coefficient corresponding to each of the above weight coefficients, where the above adjustment coefficient represents the adjustment degree of each of the above weight coefficients, and the sum of all the above adjustment coefficients is 0; When the comparison result indicates that the actual temperature value is greater than the set temperature value, increase the above adjustment parameter to obtain a first adjustment parameter, calculate the product of the first adjustment parameter and each of the above adjustment coefficients to obtain the first product coefficient corresponding to each of the above weight coefficients, and add each of the above weight coefficients to the corresponding first product coefficient to obtain the above target weight coefficient; When the comparison result indicates that the actual temperature value is less than the set temperature value, decrease the above adjustment parameter to obtain a second adjustment parameter, calculate the product of the second adjustment parameter and each of the above adjustment coefficients to obtain the second product coefficient corresponding to each of the above weight coefficients, and add each of the above weight coefficients to the corresponding second product coefficient to obtain the above target weight coefficient. This method obtains the adjustment coefficient of each weight coefficient, calculates the product of the adjustment coefficient of each weight coefficient and the adjustment parameter, and adds the weight coefficient and the above product to obtain the target weight coefficient, so that different weight coefficients can be adjusted to different degrees according to different adjustment coefficients to obtain a more accurate target weight coefficient.

[0047] Specifically, the above weight coefficients represent different degrees of influence of different environmental information on the adjustment of air conditioner parameters, while the adjustment coefficient represents the magnitude of the adjustment degree of each weight coefficient. For example: The adjustment degree of the weight coefficient corresponding to the user's location information is the largest, and the adjustment degree of the weight coefficient corresponding to the location information of the object in the predetermined space is the smallest. The weight coefficients of the above five environmental information are θ1, θ2, θ3, θ4, and θ5 respectively, and the adjustment coefficients are represented by a, b, c, d, and e respectively. The adjustment parameter is x, and the initial adjustment parameter is x = 0.025. Then the target weight coefficients are respectively represented as (θ1 + ax), (θ2 + bx), (θ3 + cx), (θ4 + dx), (θ5 + ex). Since the sum of the weight coefficients needs to be 1, therefore, the adjustment coefficients need to satisfy a + b + c + d + e = 0, and the magnitude of the adjustment coefficient corresponding to each weight coefficient is assumed to satisfy b < c < e < a < d, that is, some adjustment coefficient values are negative and some are positive. When the comparison result indicates that the actual temperature value is greater than the set temperature value, at this time, increase the adjustment parameter, and the product coefficients are the products ax, bx, cx, dx, and ex of the adjustment parameter and the adjustment coefficients, and calculate the target weight coefficient according to the above calculation method of the target weight coefficient; When the comparison result indicates that the actual temperature value is less than the set temperature value, at this time, decrease the adjustment parameter, and calculate the target weight coefficient according to the above calculation method of the target weight coefficient.

[0048] Step S204 above can also be implemented in other ways, such as: performing similarity matching between each piece of environmental information and the corresponding preset environmental information in each group of preset environmental information to obtain the similarity of each piece of preset environmental information; adding the similarities of all the preset environmental information in each group of preset environmental information to obtain the total similarity of each group of preset environmental information, wherein the preset environmental information corresponds one-to-one with the air conditioning operating parameters; comparing the magnitudes of multiple total similarities, and determining the air conditioning operating parameters corresponding to the group of preset environmental information with the largest total similarity as the target operating parameters. This method determines the target operating parameters by performing similarity matching between environmental information and preset environmental information. In this way, a set of the most suitable target operating parameters for the air conditioner can be obtained based on the pre-set environmental information, so as to obtain the target operating parameters that best match the environmental information, and achieve the best control effect of the air conditioner.

[0049] In the specific implementation process, multiple preset environmental information sets are established in advance. Each preset environmental information set corresponds one-to-one with a set of air conditioning operating parameters, which is equivalent to establishing a mapping library with a one-to-one mapping relationship between preset environmental information and air conditioning operating parameters. After obtaining the environmental information of the user's reserved space, each of the above environmental information sets is matched with each preset environmental information set in each group of preset environmental information sets for similarity. For example, the user's location information in the environmental information set is matched with the user's location information in the preset environmental information set to obtain the similarity score corresponding to the user's location information. Similarly, the object's location information in the environmental information set is matched with the object's location information in the preset environmental information set to obtain the similarity score corresponding to the object's location information. Similarly, each sub-information is matched for similarity to obtain the similarity score of each preset environmental information set. Finally, the similarity scores corresponding to each preset environmental information set in each group of preset environmental information sets are added together to obtain the total similarity score corresponding to the preset environmental information set. The formula is expressed as: S = θ1S FW +θ2S Wt +θ3S pn +θ4S Wc +θ5S pc Where S represents the total similarity of a preset environmental information, and θ1, θ2, θ3, θ4, and θ5 represent the weight coefficients of the size information of the predetermined space, the size information of the objects within the predetermined space, the size information of the user, the position information of the objects within the predetermined space, and the position information of the user, respectively. FW S represents the size information of the reserved space. Wt S represents the size information of objects within a predetermined space. pn This indicates the user's size information, S Wc S represents the position information of the aforementioned objects within the predetermined space. pcThis represents the user's location information. Since there are multiple sets of preset environmental information, the total similarity of each set of preset environmental information can be calculated. By comparing the magnitudes of multiple total similarities, the air conditioning operating parameters corresponding to the set of preset environmental information with the highest total similarity are the target operating parameters.

[0050] To calculate the total similarity of each set of preset environmental information, step S204 of this application can be implemented through the following steps: normalizing each set of environmental information to obtain normalized environmental information; calculating the Euclidean distance between each normalized environmental information and each corresponding preset environmental information in each set of preset environmental information to obtain the similarity corresponding to each preset environmental information. This method normalizes the environmental information and then calculates the similarity using Euclidean distance, thus making the calculated similarity more accurate.

[0051] Specifically, to unify the preset environmental information and the dimensions of its calculation, the environmental information is first normalized. Assume the dimensions of the predetermined space are represented as FW = [L1, W1, H1], the dimensions of objects within the predetermined space are represented as Wt = [L2, W2, H2], the user's dimensions are represented as Pn = [L3, W3, H3], the positions of the aforementioned objects within the predetermined space are represented as Wc = [X1, Y1, Z1], and the user's position is represented as Pc = [X2, Y2, Z2]. Each of these environmental information is then normalized using the following formula: Where z represents the normalized environmental information, x represents the unnormalized environmental information, μ represents the mean of each sub-environmental information in the preset environmental information, and σ represents the variance of each sub-environmental information in the preset environmental information; then, the Euclidean distance between the normalized environmental information and each preset environmental information is calculated using the following formula: x i Let y represent the i-th environmental information. i This represents the i-th preset environmental information; the corresponding similarity is obtained from the Euclidean distance. The value of S ranges from [0,1]. The larger the Euclidean distance between the two, the lower their similarity; the smaller the distance, the greater their similarity.

[0052] To accurately obtain environmental information, step S201 can be implemented in the following ways: for example, acquiring 3D point cloud data of the predetermined space; generating a 3D reconstruction model of the predetermined space using the 3D point cloud data, and at least labeling the user in the 3D reconstruction model to obtain labeling information; calculating at least the user's position information based on the labeling information to obtain at least one piece of environmental information. This method, by acquiring 3D point cloud data, constructing a 3D reconstruction model, and further calculating environmental information, can accurately obtain environmental information.

[0053] In the specific implementation process, data acquisition equipment is used to convert the environmental information of the predetermined space into 3D point cloud data. Then, the desired environmental information is obtained through a 3D reconstruction model. Specifically, a handheld depth sensor is moved back and forth in the user's air-conditioned environment, i.e., the predetermined space, until the scanning is completed. The generated 3D point cloud data is transmitted to the air-conditioning processing system. The air-conditioning processing system inputs the 3D point cloud data into the 3D reconstruction model, and then performs annotations for objects and the user, etc., and calculates the size information of the predetermined space, the size information of objects in the predetermined space, the size information of the user, the position information of objects in the predetermined space, and the position information of the user, thereby obtaining the environmental information.

[0054] Step S202 above can be implemented as follows: The actual temperature value and environmental information are input into the simulation model to generate a three-dimensional temperature field model with the corresponding color brightness of the actual temperature value, resulting in the first temperature field model. The simulation model is used to simulate the temperature and airflow distribution within the predetermined space. The set temperature value and environmental information are then input into the simulation model to generate a three-dimensional temperature field model with the corresponding color brightness of the set temperature value, resulting in the second temperature field model. This method establishes the first and second temperature field models through the simulation model, thus accurately establishing temperature field models that represent both the actual and set temperature values.

[0055] Specifically, the simulation model can be a CFD simulation model (Computational Fluid Dynamics). Inputting the actual or set temperature values ​​and environmental information into the CFD simulation model yields either a first temperature field model or a second temperature field model. In some optional implementations, a gas flow field model can also be established. Since the gas flow distribution in a predetermined space differs under different temperature distributions, and although the temperature field model and the gas flow field model express different things—the temperature field model representing the temperature distribution and the gas flow field model representing the airflow distribution—the airflow direction can be determined from the gas flow field distribution. Higher wind speeds correspond to darker colors (lower brightness) and denser airflow, while lower wind speeds correspond to sparser airflow. However, both serve the same purpose in adjusting air conditioning parameters. Therefore, in the specific implementation process, the air conditioning parameters can be adjusted by comparing the established temperature field model and the gas flow field model, or the temperature field model can be used for comparison and adjustment, while the gas flow field model is used to verify the adjustment effect.

[0056] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the air conditioner control method of this application will be described in detail below with reference to specific embodiments.

[0057] This embodiment relates to a specific air conditioner control method, such as... Figure 3 As shown, it includes the following steps:

[0058] Step S1: A handheld depth sensor scans the user's home's air conditioning environment to obtain environmental information. This environmental information is then used to perform 3D reconstruction. The 3D reconstruction result is shown below. Figure 4 As shown, it includes house dimensions (size information of the reserved space), object dimensions (size information of objects within the reserved space), human dimensions (size information of the user mentioned above), object positions (position information of the objects mentioned above within the reserved space), and human positions (position information of the user).

[0059] Step S2: Send the obtained air conditioning environment information to the remote server and perform similarity calculation (matching) with the air conditioning environment parameter information (preset environment information) in the mapping table;

[0060] Step S3: Match the most similar set of mapping records from the mapping table (maximum total similarity), and use the corresponding air conditioning control parameters (target operating parameters) to adjust the air conditioning for comfort. The air conditioning control parameters (target operating parameters) are as follows: Figure 4 As shown, the system controls the air conditioning by including the angle of the air guide plate, the angle of the air sweeping plate, air conditioning control parameters, and the user-set temperature.

[0061] Step S4: Determine whether the temperature field of the user-specified area (first temperature field model) is consistent with the CFD simulation temperature field (second temperature field model) (color brightness). The temperature field simulation model is as follows: Figure 5 As shown, in the temperature field simulation model of this Contourwindow, temperature corresponds one-to-one with color depth, i.e., color brightness, as follows. Figure 5 As shown in the color bar on the left, the unit of temperature is K (thermodynamic temperature). Color brightness indicates the temperature; the higher the temperature, the greater the brightness (lighter the color), and the lower the temperature, the lower the brightness (darker the color). For example, the color corresponding to a temperature of 3.057e+002K is lighter, and the color corresponding to a temperature of 3.026e+002K is darker. The gas flow field simulation model is as follows: Figure 6 As shown, the higher the air conditioner's velocity, the darker the color (i.e., the lower the color brightness), and the denser the airflow (streamline fluent); conversely, the lower the velocity, the sparser the airflow. Figure 6 The color bar on the left indicates a wind speed of 8.278e+000ms. -1 At that time, the color was lighter, meaning the color brightness was higher, and the wind speed was 2.069e+000ms. -1 When the color is darker, it means the color brightness is lower; if the above judgment is yes, the process ends; if no, proceed to step S6, or as follows. Figure 4 The system determines whether the area with the lowest / highest room temperature (first temperature field model) matches the indoor CFD simulation results (second temperature field model). If not, proceed to step S5; if yes, proceed to step S6. The user's desired temperature (set temperature) generally involves both heating and cooling. In the case of heating... Figure 3 The user-specified temperature field in the data represents Figure 4 In the case of the room with the highest temperature, when the temperature is lowered... Figure 3 The user-specified temperature field in the region is Figure 4 The lowest room temperature in the room;

[0062] Step S5: Readjust the weight coefficients corresponding to each feature (each of the above environmental information), perform matching (similarity matching) again, and repeat step S2;

[0063] Step S6: End.

[0064] This application also provides an air conditioner control device. It should be noted that the air conditioner control device of this application embodiment can be used to execute the air conditioner control method provided in this application embodiment. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0065] The control device for an air conditioner provided in the embodiments of this application will be described below.

[0066] Figure 7 This is a schematic diagram of an air conditioner control device according to an embodiment of this application. Figure 7 As shown, the device includes:

[0067] The measuring unit 10 is used to acquire a set temperature value and an actual temperature value, wherein the set temperature value is the set air conditioning temperature value, and the actual temperature value is the temperature value in a predetermined space after the air conditioner operates according to the set temperature value, and the predetermined space is the space where the user is located.

[0068] Specifically, when a user turns on the air conditioner in their space, they usually set a temperature. Assuming the space where the user is located is a predetermined space, the temperature set by the user is taken as the set temperature value. After the air conditioner runs according to the set temperature value, the indoor temperature value will obviously change. Temperature sensors are placed in different locations in the room, and the actual temperature value is measured in real time by the temperature sensors at different locations. In the specific implementation process, the multiple temperature values ​​measured by the temperature sensors at different locations at the same time can be averaged to obtain an actual temperature value.

[0069] The acquisition unit 20 is used to acquire environmental information when the temperature rises and the actual temperature value is greater than the set temperature value or when the temperature drops and the actual temperature value is less than the set temperature value, wherein the environmental information is the size information of the predetermined space.

[0070] Specifically, when heating (i.e., when the user needs to raise the temperature), the actual temperature in the designated space rises. If the actual temperature exceeds the set temperature, it indicates that the actual temperature is higher than the user's desired temperature. Conversely, when cooling (i.e., when the user needs to lower the temperature), the actual temperature in the designated space decreases. If the actual temperature falls below the set temperature, it indicates that the actual temperature is lower than the user's desired temperature. In both cases, if the air conditioner continues to operate at the set temperature, the actual temperature will gradually deviate from the user's desired temperature, requiring adjustment.

[0071] Establishment unit 30 is used to establish a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value and the environmental information. The first temperature field model is used to represent the actual temperature distribution in the predetermined space, and the second temperature field model is used to simulate the temperature distribution in the predetermined space under the set temperature value. The color brightness of the temperature field model indicates the temperature level.

[0072] Specifically, after obtaining environmental information, a first temperature field model is established based on the actual temperature values ​​and environmental information. The actual temperature values ​​are measured by temperature sensors placed at different locations within a predetermined space. This first temperature field model, reflecting the actual temperature distribution within the predetermined space, is built based on the actual temperature values ​​at different locations combined with environmental information. Similarly, a second temperature field model is established based on a set temperature value and environmental information. This second temperature field model reflects the indoor temperature distribution under a set temperature condition. The temperature distribution within the predetermined space at the set temperature value is the temperature distribution corresponding to that set temperature value. In the temperature field model, temperature can be represented by color brightness, i.e., the lightness or darkness of a color. For example, lower color brightness (darker color) indicates a lower temperature at that location, while higher color brightness (lighter color) indicates a higher temperature. Of course, in different ways of expressing the temperature field model, higher color brightness (lighter color) can also indicate a lower temperature at that location, and lower color brightness (darker color) can indicate a higher temperature at that location.

[0073] The adjustment unit 40 is used to compare the color brightness of the first temperature field model and the second temperature field model, and adjust the air conditioning operating parameters according to the comparison result, so that the temperature in the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioning operating parameters include at least temperature.

[0074] Specifically, after establishing the first temperature field model and the second temperature field model, the color brightness of the temperature field model is different due to the different temperatures. Therefore, the color brightness of the first temperature field model and the second temperature field model are compared, and the operating parameters of the air conditioner are adjusted according to the comparison results of the above temperatures, so that after adjusting the operating parameters, the actual temperature value of the predetermined space can be maintained at the set temperature value.

[0075] In this embodiment, a set temperature value and an actual temperature value are obtained. When the user's demand is to increase the temperature and the actual temperature value is greater than the set temperature value, or when the user's demand is to decrease the temperature and the actual temperature value is less than the set temperature value, environmental information such as the size information of the predetermined space is obtained. A first temperature field model is established based on the actual temperature value and the environmental information, and a second temperature field model is established based on the set temperature value and the environmental information. The color brightness of the first temperature field model and the second temperature field model is compared. The temperature of the first temperature field model and the second temperature field model can be determined by the color brightness. The operating parameters of the air conditioner are automatically adjusted according to the temperature comparison results so that the temperature in the predetermined space can be maintained at the set temperature value. In contrast to existing technologies, after an air conditioner operates according to the user's set temperature, it cannot adjust its operating parameters based on the actual indoor temperature and environmental information, potentially leading to excessively high or low temperatures. This application addresses this by adjusting the air conditioner's operating parameters based on the set temperature, actual temperature, and environmental information. Since the impact of different dimensions on temperature adjustment varies across different spaces, this application can determine the most suitable air conditioner operating parameters for the dimensions of the space, taking into account environmental information such as the dimensions of the space. This makes the air conditioner's adjustment more targeted, improves its accuracy, and ultimately enhances the user experience. Therefore, it solves the problem in existing technologies where automatic adjustment is not possible when the indoor temperature is below or above the set temperature, achieving the goal of automatic air conditioner control.

[0076] In the specific implementation process, there are multiple pieces of environmental information, including the user's location information, the size information of objects within the predetermined space, the location information of the objects within the predetermined space, and the user's size information. The air conditioning operating parameters are adjusted based on the comparison results. The adjustment unit includes a first acquisition module, a first calculation module, and a determination module. The first acquisition module acquires adjustment parameters, which are used to adjust weight coefficients. These weight coefficients represent the importance of each piece of environmental information in adjusting the air conditioning operating parameters. The first calculation module adjusts the adjustment parameters based on the comparison results and calculates the weight coefficients based on the adjusted adjustment parameters to obtain a target weight coefficient. The determination module determines the target operating parameters based on the target weight coefficient. This device adjusts the weight coefficients by changing the size of the adjustment parameters and determines the target operating parameters (i.e., the air conditioning operating parameters) based on the adjusted weight coefficients. This allows the target operating parameters to be determined based on the importance of different environmental information to the air conditioning operating parameters (i.e., the weight coefficients), making the adjustment of the target operating parameters more reasonable. Furthermore, when the air conditioning operates according to the adjusted target operating parameters, the user's comfort is improved.

[0077] In some optional implementations, the environmental information includes not only the size information of the predetermined space, but also the user's location information, the size information of objects within the predetermined space, and the user's size information. Different environmental information has varying degrees of impact on the comfort adjustment of the air conditioner. For example, the size of the predetermined space has the greatest impact on temperature adjustment; that is, when the predetermined space is small, a small adjustment to the temperature is sufficient, while when the predetermined space is large, a large adjustment is required to achieve the desired effect. The same applies to other environmental information. Therefore, it is necessary to assign corresponding weights to different environmental information. For example, the weight coefficients for the size information of the predetermined space, the size information of objects within the predetermined space, the user's size information, the location information of objects within the predetermined space, and the user's location information are 0.35, 0.15, 0.1, 0.25, and 0.15, respectively. Of course, the weight coefficients can also be other reasonable values ​​in practical applications, but it is necessary to ensure that the sum of the weight coefficients for all environmental information is 1. That is, this application does not impose specific limitations on the values ​​of the above weight coefficients. Since environmental information also includes user location information, the air conditioner's operating parameters related to airflow direction, such as the air deflector angle, can be adjusted based on this information. For example, if the user is an elderly person or a child, the air deflector can be controlled to prevent direct airflow towards them; if the user is a young person, the air deflector can be controlled to blow directly towards them. Of course, the air deflector control method can be set according to actual conditions. By controlling the air conditioner's temperature and air deflector angle, comprehensive automatic regulation of the air conditioning parameters can be achieved.

[0078] To calculate the target weight coefficient, the first calculation module includes an acquisition submodule, a first addition submodule, and a second addition submodule. The acquisition submodule acquires the adjustment coefficient corresponding to each of the weight coefficients, where each adjustment coefficient represents the degree of adjustment for each weight coefficient, and the sum of all adjustment coefficients is 0. The first addition submodule increases the adjustment parameter when the comparison result indicates that the actual temperature value is greater than the set temperature value, obtaining a first adjustment parameter. It then calculates the product of the first adjustment parameter and each adjustment coefficient to obtain a first product coefficient corresponding to each weight coefficient, and adds each weight coefficient to its corresponding first product coefficient to obtain the target weight coefficient. The second addition submodule decreases the adjustment parameter when the comparison result indicates that the actual temperature value is less than the set temperature value, obtaining a second adjustment parameter. It then calculates the product of the second adjustment parameter and each adjustment coefficient to obtain a second product coefficient corresponding to each weight coefficient, and adds each weight coefficient to its corresponding second product coefficient to obtain the target weight coefficient. The device acquires the adjustment coefficient of each weight coefficient and calculates the product of the adjustment coefficient and the adjustment parameter for each weight coefficient. The weight coefficient is then added to the product to obtain the target weight coefficient. In this way, different weight coefficients can be adjusted to different degrees according to different adjustment coefficients to obtain a more accurate target weight coefficient.

[0079] Specifically, the above weight coefficients represent the different degrees of influence of different environmental information on the adjustment of air conditioner parameters, and the adjustment coefficients represent the magnitudes of the adjustment degrees of each weight coefficient. For example, the adjustment degree of the weight coefficient corresponding to the user's location information is the largest, and the adjustment degree of the weight coefficient corresponding to the position information of the objects in the predetermined space is the smallest. The weight coefficients of the above five environmental information are θ1, θ2, θ3, θ4, and θ5 respectively, and the adjustment coefficients are represented by a, b, c, d, and e respectively. The adjustment parameter is x, and the initial adjustment parameter is x = 0.025. Then the target weight coefficients are respectively expressed as (θ1 + ax), (θ2 + bx), (θ3 + cx), (θ4 + dx), and (θ5 + ex). Since the sum of the weight coefficients needs to be 1, therefore, the adjustment coefficients need to satisfy a + b + c + d + e = 0, and the magnitudes of the adjustment coefficients corresponding to each weight coefficient are assumed to satisfy b < c < e < a < d, that is, some of the adjustment coefficient values are negative and some are positive. When the comparison result shows that the actual temperature value is greater than the set temperature value, the adjustment parameter is increased at this time, and the product coefficients are the products ax, bx, cx, dx, and ex of the adjustment parameter and the adjustment coefficients, and the target weight coefficients are calculated according to the above calculation method of the target weight coefficients; when the comparison result shows that the actual temperature value is less than the set temperature value, the adjustment parameter is decreased at this time, and the target weight coefficients are calculated according to the above calculation method of the target weight coefficients.

[0080] The determination module includes a third addition sub-module and a determination sub-module. Among them, the third addition sub-module is used to perform similarity matching between each of the above environmental information and the corresponding preset environmental information in each group of preset environmental information to obtain the similarity of each of the above preset environmental information, and add up the similarities corresponding to all the above preset environmental information in each group of the above preset environmental information to obtain the total similarity corresponding to each group of the above preset environmental information. Among them, the above preset environmental information corresponds to the air conditioner operation parameters one by one; the determination sub-module is used to compare the magnitudes of the multiple above total similarities, and determine the above air conditioner operation parameters corresponding to the group of the above preset environmental information with the largest above total similarity as the above target operation parameters. The device determines the target operation parameters by performing similarity matching between the environmental information and the preset environmental information, so that a set of the most suitable target operation parameters of the air conditioner can be obtained according to the pre-established environmental information matching, in order to obtain the target operation parameters that are most matched with the environmental information and make the control effect of the air conditioner reach the best.

[0081] In the specific implementation process, multiple preset environmental information sets are established in advance. Each preset environmental information set corresponds one-to-one with a set of air conditioning operating parameters, which is equivalent to establishing a mapping library with a one-to-one mapping relationship between preset environmental information and air conditioning operating parameters. After obtaining the environmental information of the user's reserved space, each of the above environmental information sets is matched with each preset environmental information set in each group of preset environmental information sets for similarity. For example, the user's location information in the environmental information set is matched with the user's location information in the preset environmental information set to obtain the similarity score corresponding to the user's location information. Similarly, the object's location information in the environmental information set is matched with the object's location information in the preset environmental information set to obtain the similarity score corresponding to the object's location information. Similarly, each sub-information is matched for similarity to obtain the similarity score of each preset environmental information set. Finally, the similarity scores corresponding to each preset environmental information set in each group of preset environmental information sets are added together to obtain the total similarity score corresponding to the preset environmental information set. The formula is expressed as: S = θ1S FW +θ2S Wt +θ3S pn +θ4S Wc +θ5S, where S represents the total similarity of a preset environmental information, θ1, θ2, θ3, θ4, and θ5 represent the weight coefficients of the size information of the predetermined space, the size information of the objects within the predetermined space, the size information of the user, the position information of the objects within the predetermined space, and the position information of the user, respectively. FW S represents the size information of the reserved space. Wt S represents the size information of objects within a predetermined space. pn This indicates the user's size information, S Wc S represents the position information of the aforementioned objects within the predetermined space. pc This represents the user's location information. Since there are multiple sets of preset environmental information, the total similarity of each set of preset environmental information can be calculated. By comparing the magnitudes of multiple total similarities, the air conditioning operating parameters corresponding to the set of preset environmental information with the highest total similarity are the target operating parameters.

[0082] To calculate the total similarity for each set of preset environmental information, the third addition submodule includes a normalization submodule and a calculation submodule. The normalization submodule normalizes each piece of environmental information to obtain normalized environmental information. The calculation submodule calculates the Euclidean distance between each normalized piece of environmental information and each corresponding piece of preset environmental information in each set, thus obtaining the similarity for each piece of preset environmental information. This device normalizes the environmental information and then calculates the similarity using Euclidean distance, making the calculated similarity more accurate.

[0083] Specifically, to unify the preset environmental information and the dimensions of its calculation, the environmental information is first normalized. Assume the dimensions of the predetermined space are represented as FW = [L1, W1, H1], the dimensions of objects within the predetermined space are represented as Wt = [L2, W2, H2], the user's dimensions are represented as Pn = [L3, W3, H3], the positions of the aforementioned objects within the predetermined space are represented as Wc = [X1, Y1, Z1], and the user's position is represented as Pc = [X2, Y2, Z2]. Each of these environmental information is then normalized using the following formula: Where z represents the normalized environmental information, x represents the unnormalized environmental information, μ represents the mean of each sub-environmental information in the preset environmental information, and σ represents the variance of each sub-environmental information in the preset environmental information; then, the Euclidean distance between the normalized environmental information and each preset environmental information is calculated using the following formula: x i Let yi represent the i-th environmental information and yi represent the i-th preset environmental information; the corresponding similarity is obtained by Euclidean distance. The value of S ranges from [0,1]. The larger the Euclidean distance between the two, the lower their similarity; the smaller the distance, the greater their similarity.

[0084] To accurately obtain environmental information, the acquisition unit includes a second acquisition module, an annotation module, and a first calculation module. The second acquisition module acquires 3D point cloud data of the predetermined space. The annotation module uses the 3D point cloud data to generate a 3D reconstruction model of the predetermined space and annotates at least the user within the 3D reconstruction model to obtain annotation information. The first calculation module calculates at least the user's location information based on the annotation information to obtain at least one piece of environmental information. This device acquires 3D point cloud data, constructs a 3D reconstruction model, and further calculates environmental information, thus accurately obtaining the environmental information.

[0085] In the specific implementation process, data acquisition equipment is used to convert the environmental information of the predetermined space into 3D point cloud data. Then, the desired environmental information is obtained through a 3D reconstruction model. Specifically, a handheld depth sensor is moved back and forth in the user's air-conditioned environment, i.e., the predetermined space, until the scanning is completed. The generated 3D point cloud data is transmitted to the air-conditioning processing system. The air-conditioning processing system inputs the 3D point cloud data into the 3D reconstruction model, and then performs annotations for objects and the user, etc., and calculates the size information of the predetermined space, the size information of objects in the predetermined space, the size information of the user, the position information of objects in the predetermined space, and the position information of the user, thereby obtaining the environmental information.

[0086] The device includes a first generation module and a second generation module. The first generation module inputs the actual temperature value and the environmental information into the simulation model to generate a three-dimensional temperature field model with color brightness corresponding to the actual temperature value, thus obtaining the first temperature field model. This simulation model is used to simulate the temperature and airflow distribution within the predetermined space. The second generation module inputs the set temperature value and the environmental information into the simulation model to generate a three-dimensional temperature field model with color brightness corresponding to the set temperature value, thus obtaining the second temperature field model. This device establishes the first and second temperature field models through the simulation model, thereby accurately creating temperature field models that represent both the actual and set temperature values.

[0087] Specifically, the simulation model can be a CFD simulation model (Computational Fluid Dynamics). Inputting the actual or set temperature values ​​and environmental information into the CFD simulation model yields either a first temperature field model or a second temperature field model. In some optional implementations, a gas flow field model can also be established. Since the gas flow distribution in a predetermined space differs under different temperature distributions, and although the temperature field model and the gas flow field model express different things—the temperature field model representing the temperature distribution and the gas flow field model representing the airflow distribution—the airflow direction can be determined from the gas flow field distribution. Higher wind speeds correspond to darker colors (lower brightness) and denser airflow, while lower wind speeds correspond to sparser airflow. However, both serve the same purpose in adjusting air conditioning parameters. Therefore, in the specific implementation process, the air conditioning parameters can be adjusted by comparing the established temperature field model and the gas flow field model, or the temperature field model can be used for comparison and adjustment, while the gas flow field model is used to verify the adjustment effect.

[0088] The control device for the aforementioned air conditioner includes a processor and a memory. The measurement unit, acquisition unit, setup unit, and adjustment unit are all stored as program units in the memory, and the processor executes these program units to achieve the corresponding functions. All of the above modules reside in the same processor; alternatively, the modules may be located in different processors in any combination.

[0089] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and the automatic control of the air conditioner can be achieved by adjusting the kernel parameters.

[0090] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0091] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the air conditioner control method.

[0092] Specifically, the control methods for air conditioning include:

[0093] Step S201: Obtain the set temperature value and the actual temperature value, wherein the set temperature value is the set air conditioner temperature value, and the actual temperature value is the temperature value in the predetermined space after the air conditioner operates according to the set temperature value, and the predetermined space is the space where the user is located.

[0094] Specifically, when a user turns on the air conditioner in their space, they usually set a temperature. Assuming the space where the user is located is a predetermined space, the temperature set by the user is taken as the set temperature value. After the air conditioner runs according to the set temperature value, the indoor temperature value will obviously change. Temperature sensors are placed in different locations in the room, and the actual temperature value is measured in real time by the temperature sensors at different locations. In the specific implementation process, the multiple temperature values ​​measured by the temperature sensors at different locations at the same time can be averaged to obtain an actual temperature value.

[0095] Step S202: When the temperature rises and the actual temperature value is greater than the set temperature value, or when the temperature drops and the actual temperature value is less than the set temperature value, environmental information is obtained, wherein the environmental information is the size information of the predetermined space.

[0096] Specifically, when heating (i.e., when the user needs to raise the temperature), the actual temperature in the designated space rises. If the actual temperature exceeds the set temperature, it indicates that the actual temperature is higher than the user's desired temperature. Conversely, when cooling (i.e., when the user needs to lower the temperature), the actual temperature in the designated space decreases. If the actual temperature falls below the set temperature, it indicates that the actual temperature is lower than the user's desired temperature. In both cases, if the air conditioner continues to operate at the set temperature, the actual temperature will gradually deviate from the user's desired temperature, requiring adjustment.

[0097] Step S203: Establish a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value and the environmental information. The first temperature field model is used to represent the actual temperature distribution in the predetermined space, and the second temperature field model is used to simulate the temperature distribution in the predetermined space under the set temperature value. The color brightness of the temperature field model represents the temperature level.

[0098] Specifically, after obtaining environmental information, a first temperature field model is established based on the actual temperature values ​​and environmental information. The actual temperature values ​​are measured by temperature sensors placed at different locations within a predetermined space. This first temperature field model, reflecting the actual temperature distribution within the predetermined space, is built based on the actual temperature values ​​at different locations combined with environmental information. Similarly, a second temperature field model is established based on a set temperature value and environmental information. This second temperature field model reflects the indoor temperature distribution under a set temperature condition. The temperature distribution within the predetermined space at the set temperature value is the temperature distribution corresponding to that set temperature value. In the temperature field model, temperature can be represented by color brightness, i.e., the lightness or darkness of a color. For example, lower color brightness (darker color) indicates a lower temperature at that location, while higher color brightness (lighter color) indicates a higher temperature. Of course, in different ways of expressing the temperature field model, higher color brightness (lighter color) can also indicate a lower temperature at that location, and lower color brightness (darker color) can indicate a higher temperature at that location.

[0099] Step S204: Compare the color brightness of the first temperature field model and the second temperature field model, and adjust the air conditioning operating parameters according to the comparison results, so that the temperature in the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioning operating parameters include at least temperature.

[0100] Specifically, after establishing the first temperature field model and the second temperature field model, the color brightness of the temperature field model is different due to the different temperatures. Therefore, the color brightness of the first temperature field model and the second temperature field model are compared, and the operating parameters of the air conditioner are adjusted according to the comparison results of the above temperatures, so that after adjusting the operating parameters, the actual temperature value of the predetermined space can be maintained at the set temperature value.

[0101] This invention provides an air conditioner, including: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include control methods for performing any one of them.

[0102] Specifically, the control methods for air conditioning include:

[0103] Step S201: Obtain the set temperature value and the actual temperature value, wherein the set temperature value is the set air conditioner temperature value, and the actual temperature value is the temperature value in the predetermined space after the air conditioner operates according to the set temperature value, and the predetermined space is the space where the user is located.

[0104] Specifically, when a user turns on the air conditioner in their space, they usually set a temperature. Assuming the space where the user is located is a predetermined space, the temperature set by the user is taken as the set temperature value. After the air conditioner runs according to the set temperature value, the indoor temperature value will obviously change. Temperature sensors are placed in different locations in the room, and the actual temperature value is measured in real time by the temperature sensors at different locations. In the specific implementation process, the multiple temperature values ​​measured by the temperature sensors at different locations at the same time can be averaged to obtain an actual temperature value.

[0105] Step S202: When the temperature rises and the actual temperature value is greater than the set temperature value, or when the temperature drops and the actual temperature value is less than the set temperature value, environmental information is obtained, wherein the environmental information is the size information of the predetermined space.

[0106] Specifically, when heating (i.e., when the user needs to raise the temperature), the actual temperature in the designated space rises. If the actual temperature exceeds the set temperature, it indicates that the actual temperature is higher than the user's desired temperature. Conversely, when cooling (i.e., when the user needs to lower the temperature), the actual temperature in the designated space decreases. If the actual temperature falls below the set temperature, it indicates that the actual temperature is lower than the user's desired temperature. In both cases, if the air conditioner continues to operate at the set temperature, the actual temperature will gradually deviate from the user's desired temperature, requiring adjustment.

[0107] Step S203: Establish a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value and the environmental information. The first temperature field model is used to represent the actual temperature distribution in the predetermined space, and the second temperature field model is used to simulate the temperature distribution in the predetermined space under the set temperature value. The color brightness of the temperature field model represents the temperature level.

[0108] Specifically, after obtaining environmental information, a first temperature field model is established based on the actual temperature values ​​and environmental information. The actual temperature values ​​are measured by temperature sensors placed at different locations within a predetermined space. This first temperature field model, reflecting the actual temperature distribution within the predetermined space, is built based on the actual temperature values ​​at different locations combined with environmental information. Similarly, a second temperature field model is established based on a set temperature value and environmental information. This second temperature field model reflects the indoor temperature distribution under a set temperature condition. The temperature distribution within the predetermined space at the set temperature value is the temperature distribution corresponding to that set temperature value. In the temperature field model, temperature can be represented by color brightness, i.e., the lightness or darkness of a color. For example, lower color brightness (darker color) indicates a lower temperature at that location, while higher color brightness (lighter color) indicates a higher temperature. Of course, in different ways of expressing the temperature field model, higher color brightness (lighter color) can also indicate a lower temperature at that location, and lower color brightness (darker color) can indicate a higher temperature at that location.

[0109] Step S204: Compare the color brightness of the first temperature field model and the second temperature field model, and adjust the air conditioning operating parameters according to the comparison results, so that the temperature in the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioning operating parameters include at least temperature.

[0110] Specifically, after establishing the first temperature field model and the second temperature field model, the color brightness of the temperature field model is different due to the different temperatures. Therefore, the color brightness of the first temperature field model and the second temperature field model are compared, and the operating parameters of the air conditioner are adjusted according to the comparison results of the above temperatures, so that after adjusting the operating parameters, the actual temperature value of the predetermined space can be maintained at the set temperature value.

[0111] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0112] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0113] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0114] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0115] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0116] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0117] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0118] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0119] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0120] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0121] 1) In the air conditioning control method of this application, a set temperature value and an actual temperature value are obtained. When the user's demand is to increase the temperature and the actual temperature value is greater than the set temperature value, or when the user's demand is to decrease the temperature and the actual temperature value is less than the set temperature value, environmental information such as the size information of the predetermined space is obtained. A first temperature field model is established based on the actual temperature value and the environmental information, and a second temperature field model is established based on the set temperature value and the environmental information. The color brightness of the first temperature field model and the second temperature field model is compared. The temperature of the first temperature field model and the second temperature field model can be determined by the color brightness. The operating parameters of the air conditioner are automatically adjusted according to the temperature comparison result so that the temperature in the predetermined space can be maintained at the set temperature value. In contrast to existing technologies, after an air conditioner operates according to the user's set temperature, it cannot adjust its operating parameters based on the actual indoor temperature and environmental information, potentially leading to excessively high or low temperatures. This application addresses this by adjusting the air conditioner's operating parameters based on the set temperature, actual temperature, and environmental information. Since the impact of different dimensions on temperature adjustment varies across different spaces, this application can determine the most suitable air conditioner operating parameters for the dimensions of the space, taking into account environmental information such as the dimensions of the space. This makes the air conditioner's adjustment more targeted, improves its accuracy, and ultimately enhances the user experience. Therefore, it solves the problem in existing technologies where automatic adjustment is not possible when the indoor temperature is below or above the set temperature, achieving the goal of automatic air conditioner control.

[0122] 2) In the air conditioner control device of this application, a set temperature value and an actual temperature value are obtained. When the user's demand is to increase the temperature and the actual temperature value is greater than the set temperature value, or when the user's demand is to decrease the temperature and the actual temperature value is less than the set temperature value, environmental information such as the size information of the predetermined space is obtained. A first temperature field model is established based on the actual temperature value and the environmental information, and a second temperature field model is established based on the set temperature value and the environmental information. The color brightness of the first temperature field model and the second temperature field model is compared. The temperature of the first temperature field model and the second temperature field model can be determined by the color brightness. The operating parameters of the air conditioner are automatically adjusted according to the temperature comparison results so that the temperature in the predetermined space can be maintained at the set temperature value. In contrast to existing technologies, after an air conditioner operates according to the user's set temperature, it cannot adjust its operating parameters based on the actual indoor temperature and environmental information, potentially leading to excessively high or low temperatures. This application addresses this by adjusting the air conditioner's operating parameters based on the set temperature, actual temperature, and environmental information. Since the impact of different dimensions on temperature adjustment varies across different spaces, this application can determine the most suitable air conditioner operating parameters for the dimensions of the space, taking into account environmental information such as the dimensions of the space. This makes the air conditioner's adjustment more targeted, improves its accuracy, and ultimately enhances the user experience. Therefore, it solves the problem in existing technologies where automatic adjustment is not possible when the indoor temperature is below or above the set temperature, achieving the goal of automatic air conditioner control.

[0123] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for controlling an air conditioner, characterized in that, include: The system obtains a set temperature value and an actual temperature value, wherein the set temperature value is the set air conditioner temperature value, and the actual temperature value is the temperature value in a predetermined space after the air conditioner operates according to the set temperature value, and the predetermined space is the space where the user is located. When the temperature rises and the actual temperature value is greater than the set temperature value, or when the temperature drops and the actual temperature value is less than the set temperature value, environmental information is obtained, wherein the environmental information is the size information of the predetermined space; A first temperature field model and a second temperature field model are established based on the actual temperature value, the set temperature value, and the environmental information. The first temperature field model is used to represent the actual temperature distribution within the predetermined space, and the second temperature field model is used to simulate the temperature distribution within the predetermined space under the set temperature value. The color brightness of the temperature field model indicates the temperature level. The color brightness of the first temperature field model and the second temperature field model are compared, and the air conditioning operating parameters are adjusted according to the comparison results so that the temperature in the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioning operating parameters include at least temperature.

2. The control method according to claim 1, characterized in that, The environmental information includes multiple parameters, including the user's location information, the size information of objects within the predetermined space, the location information of the objects within the predetermined space, and the user's size information. Adjusting the air conditioning operating parameters based on the comparison results includes: Obtain adjustment parameters, wherein the adjustment parameters are used to adjust weighting coefficients, and the weighting coefficients represent the importance of each piece of environmental information to adjusting the air conditioning operating parameters; The adjustment parameters are adjusted based on the comparison results, and the weight coefficients are calculated based on the adjusted adjustment parameters to obtain the target weight coefficients. The target operating parameters are determined based on the target weight coefficient.

3. The control method according to claim 2, characterized in that, The adjustment parameters are adjusted based on the comparison results, and the weight coefficients are calculated based on the adjusted adjustment parameters to obtain the target weight coefficients, including: Obtain the adjustment coefficient corresponding to each of the weight coefficients, wherein the adjustment coefficient represents the degree of adjustment of each of the weight coefficients, and the sum of all the adjustment coefficients is 0; If the comparison result indicates that the actual temperature value is greater than the set temperature value, the adjustment parameter is increased to obtain a first adjustment parameter. The product of the first adjustment parameter and each adjustment coefficient is calculated to obtain the first product coefficient corresponding to each weight coefficient. Each weight coefficient is added to the corresponding first product coefficient to obtain the target weight coefficient. If the comparison result indicates that the actual temperature value is less than the set temperature value, the adjustment parameter is reduced to obtain a second adjustment parameter. The product of the second adjustment parameter and each adjustment coefficient is calculated to obtain the second product coefficient corresponding to each weight coefficient. Each weight coefficient is then added to the corresponding second product coefficient to obtain the target weight coefficient.

4. The control method according to claim 2, characterized in that, Determining the target operating parameters based on the target weight coefficients includes: Each piece of environmental information is matched with the corresponding preset environmental information in each group of preset environmental information to obtain the similarity of each piece of preset environmental information. The similarities of all the preset environmental information in each group of preset environmental information are added together to obtain the total similarity of each group of preset environmental information. The preset environmental information corresponds one-to-one with the air conditioning operating parameters. By comparing the magnitudes of multiple total similarities, the air conditioning operating parameters corresponding to the set of preset environmental information with the largest total similarity are determined as the target operating parameters.

5. The control method according to claim 4, characterized in that, Each piece of environmental information is matched with the corresponding preset environmental information in each set of preset environmental information to obtain the similarity of each piece of preset environmental information, including: Each piece of environmental information is normalized to obtain the normalized environmental information; Calculate the Euclidean distance between each normalized environmental information and each corresponding preset environmental information in each group of preset environmental information to obtain the similarity corresponding to each preset environmental information.

6. The control method according to claim 1, characterized in that, Obtain environmental information, including: Obtain the three-dimensional point cloud data of the predetermined space; A three-dimensional reconstruction model of the predetermined space is generated using the three-dimensional point cloud data, and at least the user in the three-dimensional reconstruction model is labeled to obtain labeling information; Based on the annotation information, at least the user's location information is calculated to obtain at least one piece of environmental information.

7. The control method according to claim 1, characterized in that, A first temperature field model is established based on the actual temperature value and the environmental information, and a second temperature field model is established based on the set temperature value and the environmental information, including: The actual temperature value and the environmental information are input into the simulation model to generate a three-dimensional temperature field model with color brightness corresponding to the actual temperature value, thus obtaining the first temperature field model. The simulation model is used to simulate the temperature and airflow distribution within the predetermined space. The set temperature value and the environmental information are input into the simulation model to generate a three-dimensional temperature field model with color brightness corresponding to the set temperature value, thus obtaining the second temperature field model.

8. A control device for an air conditioner, characterized in that, include: A measuring unit is used to acquire a set temperature value and an actual temperature value, wherein the set temperature value is the set air conditioning temperature value, and the actual temperature value is the temperature value in a predetermined space after the air conditioner operates according to the set temperature value, and the predetermined space is the space where the user is located. The acquisition unit is used to acquire environmental information when the actual temperature value is greater than the set temperature value during heating or when the actual temperature value is less than the set temperature value during cooling, wherein the environmental information is the size information of the predetermined space. A modeling unit is used to establish a first temperature field model and a second temperature field model based on the actual temperature value, the set temperature value and the environmental information. The first temperature field model is used to represent the actual temperature distribution within the predetermined space, and the second temperature field model is used to simulate the temperature distribution within the predetermined space under the set temperature value. The color brightness of the temperature field model indicates the temperature level. An adjustment unit is used to compare the color brightness of the first temperature field model and the second temperature field model, and adjust the air conditioning operating parameters according to the comparison result, so that the temperature in the predetermined space reaches the set temperature value after a predetermined time period, wherein the air conditioning operating parameters include at least temperature.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the control method according to any one of claims 1 to 7.

10. An air conditioner, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a control method for performing any one of claims 1 to 7.

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