Air conditioning system and control method thereof
By extracting edge information from infrared images in an air conditioning system and performing guided filtering, and optimizing regularization parameters, the problem of low infrared image resolution was solved, achieving high-resolution and clear infrared images and improving the working efficiency of the air conditioning system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- QINGDAO HISENSE HITACHI AIR CONDITIONING SYST
- Filing Date
- 2022-12-12
- Publication Date
- 2026-06-09
Smart Images
Figure CN115937054B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of air conditioning technology, and in particular to an air conditioning system and its control method. Background Technology
[0002] Currently, infrared sensors are widely used in home appliances, and many existing air conditioning products already utilize infrared sensors for related applications. For example, by collecting images of the environment using infrared sensors, the air conditioner's airflow direction can be adjusted based on the location of people in the image to achieve the most comfortable effect. It can also control the air conditioner's start or stop based on the presence of people in the environment, thus saving energy.
[0003] However, infrared imaging works by receiving thermal radiation signals, making it susceptible to environmental factors that can lead to low contrast and blurred details in infrared images. Furthermore, the small array size of infrared sensors results in low resolution, further affecting image detail and hindering target identification and detection.
[0004] Therefore, how to provide an air conditioning system with high infrared image resolution is a technical problem that needs to be solved. Summary of the Invention
[0005] This application provides an air conditioning system and its control method, which is used to obtain an infrared enhanced image by enhancing the edge information of the guide image and optimizing the guide filtering process of the original infrared image and the enhanced guide image.
[0006] To achieve the above objectives, the embodiments of this application adopt the following technical solutions:
[0007] In a first aspect, an air conditioning system is provided, the air conditioning system comprising:
[0008] Indoor unit, including indoor heat exchanger;
[0009] Outdoor unit, including compressor and outdoor heat exchanger;
[0010] An infrared imaging module is installed on the surface of the indoor unit to acquire images of the room.
[0011] The infrared imaging module is configured as follows:
[0012] The system receives thermal radiation signals and performs imaging based on these signals to obtain the original infrared image.
[0013] Edge information is extracted from the original infrared image and superimposed onto the original infrared image to obtain an edge-enhanced guide image;
[0014] Based on the edge-enhanced guide image and the original infrared image, the regularization parameter used for guide filtering is modified. The modified regularization parameter is negatively correlated with the richness of edge information.
[0015] By using the corrected regularization parameters and the edge-enhanced guide image, the original infrared image is subjected to guided filtering to obtain the detail layer information of the original infrared image;
[0016] The detail layer information is superimposed on the original infrared image to obtain an infrared-enhanced image.
[0017] The technical solution provided in this application provides at least the following beneficial effects: By superimposing the edge information extracted from the original infrared image with the original infrared image, an edge-enhanced guide image can be obtained. The regularization parameters are then optimized based on the richness of the edge information to obtain corrected regularization parameters. Furthermore, by applying guided filtering to the original infrared image and the edge-enhanced guide image using the corrected regularization parameters, more detailed detail layer information can be obtained. Thus, after superimposing this detail layer information onto the original infrared image, a higher resolution and clearer detail infrared-enhanced image can be obtained. This results in clearer infrared images acquired by the air conditioning system through the infrared imaging module, improving the operating efficiency of the air conditioning system.
[0018] In some embodiments, the infrared imaging module described above performs the extraction of edge information from the original infrared image, which is further configured to: perform a dilation operation on the original infrared image to obtain a dilated image; perform an erosion operation on the dilated image to obtain an eroded image; and subtract the eroded image from the dilated image to obtain the edge information of the original infrared image.
[0019] As can be seen from the above embodiments, by performing dilation and erosion operations sequentially on the original infrared image, a dilated image and an eroded image can be obtained. Subtracting the eroded image from the dilated image yields the edge information of the original infrared image.
[0020] In some embodiments, the modified regularization parameter described above is expressed as:
[0021]
[0022] Where ε is the regularization parameter, ε ′ Here are the corrected regularization parameters, I is the original infrared image, and p is the edge-enhanced guide image.
[0023] As can be seen from the above embodiments, when enhancing the details of the edge information of the original infrared image, the covariance between the original infrared image and the enhanced guide image will increase. That is, the richer the edge information of the original infrared image, the smaller the corrected regularization parameter.
[0024] In some embodiments, the infrared imaging module performs guided filtering on the original infrared image using a modified regularization parameter and an edge-enhanced guide image to obtain detail layer information of the original infrared image. It is further configured to obtain base layer information of the original infrared image according to the following guided filtering formula:
[0025] q = a k I+b k
[0026] In the formula, b k =p k -a k μ k ; q is the basic layer information, ε ′ Here are the corrected regularization parameters, where I is the original infrared image, p is the edge-enhanced guide image, and p... k μ is the mean value within the guide image window for edge enhancement. k The mean value within the original infrared image window. The variance of pixel grayscale values in the original infrared image window is represented by 1. The base layer information in the original infrared image is removed to obtain the detail layer information of the original infrared image.
[0027] Because the filtering effect of guided filtering is affected by the original image, the filtering radius, and the regularization parameter, and because the regularization parameter is usually a fixed value in related technologies, windows with prominent details and rich edges in infrared images will appear blurred to varying degrees. The modified regularization parameter in this embodiment can be adjusted according to the edge information of the window. For windows with prominent details and rich edge information in the original image, a smaller regularization parameter is used, thereby allowing the original infrared image to retain more detail information during guided filtering and further improving the image layering effect.
[0028] In some embodiments, the infrared imaging module performs the process of superimposing detail layer information onto the original infrared image to obtain an infrared enhanced image. It is further configured to: use a first preset value as a weighting coefficient of the original infrared image and a second preset value as a weighting coefficient of the detail layer information to perform weighted summation processing on the original infrared image and the detail layer information to obtain the infrared enhanced image; wherein, the first preset value is 1 and the second preset value is a positive number less than 1.
[0029] As can be seen from the above embodiments, by setting the first preset value and the second preset value, the processing of the original infrared image and detail layer information is more detailed, thereby obtaining a clearer infrared enhanced image.
[0030] Secondly, embodiments of this application provide a control method for an air conditioning system including an infrared imaging module, the method comprising:
[0031] The system receives thermal radiation signals and performs imaging based on these signals to obtain the original infrared image.
[0032] Edge information is extracted from the original infrared image and superimposed onto the original infrared image to obtain an edge-enhanced guide image;
[0033] Based on the edge-enhanced guide image and the original infrared image, the regularization parameter used for guide filtering is modified. The modified regularization parameter is negatively correlated with the richness of edge information.
[0034] By using the corrected regularization parameters and the edge-enhanced guide image, the original infrared image is subjected to guided filtering to obtain the detail layer information of the original infrared image;
[0035] The detail layer information is superimposed on the original infrared image to obtain an infrared-enhanced image.
[0036] Thirdly, embodiments of this application provide a controller, including: one or more processors; one or more memories; wherein the one or more memories are used to store computer program code, the computer program code including computer instructions, and when the one or more processors execute the computer instructions, the controller executes the control method provided in the second aspect.
[0037] Fourthly, embodiments of this application provide a computer-readable storage medium including computer instructions that, when controlled on a computer, cause the computer to perform the methods provided in the second aspect and possible implementations.
[0038] Fifthly, embodiments of the present invention provide a computer program product that can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program product can implement the methods provided in the second aspect and possible implementations.
[0039] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the controller's processor or may be packaged separately from the controller's processor; this application does not impose any limitations on this.
[0040] The beneficial effects described in aspects two through five of this application can be referred to the analysis of the beneficial effects of aspect one, and will not be repeated here. Attached Figure Description
[0041] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of the present invention and do not constitute a limitation on the technical solutions of the present invention.
[0042] Figure 1 This is a schematic diagram of the structure of an air conditioning system provided in an embodiment of this application;
[0043] Figure 2 This is a schematic diagram of the installation position of an infrared imaging module provided in an embodiment of this application;
[0044] Figure 3 This is a schematic diagram of the hardware structure of an infrared imaging module provided in an embodiment of this application;
[0045] Figure 4 A circuit structure diagram of an infrared imaging module controller provided in an embodiment of this application;
[0046] Figure 5 A circuit structure diagram of an air conditioner controller provided in an embodiment of this application;
[0047] Figure 6 A flowchart of a control method for an air conditioning system provided in this application embodiment;
[0048] Figure 7 This is a schematic diagram of an infrared imaging module provided in an embodiment of this application;
[0049] Figure 8 This is a schematic diagram illustrating the effect of a control method for an air conditioning system provided in an embodiment of this application;
[0050] Figure 9 A flowchart illustrating another air conditioning system control method provided in this application embodiment;
[0051] Figure 10 This is a schematic diagram of the hardware structure of an air conditioner controller provided in an embodiment of this application. Detailed Implementation
[0052] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0053] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.
[0054] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0055] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.
[0056] In the description of the embodiments of this application, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "connected" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, when describing pipelines, the terms "connected" and "connected" as used in this application have the meaning of establishing electrical conductivity. The specific meaning needs to be understood in conjunction with the context.
[0057] The terms “comprising” and “having”, and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.
[0058] Furthermore, in the embodiments of this application, the words "exemplary" or "for example" are used to indicate that they are examples, illustrations, or descriptions. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.
[0059] As described in the background section, infrared imaging works by receiving thermal radiation signals, which is easily affected by environmental factors, resulting in low contrast and blurred details in infrared images. Furthermore, the small array size of infrared sensors leads to low resolution, further affecting the detail information and hindering target recognition and detection.
[0060] In related technologies, infrared image enhancement processing can be broadly categorized into frequency domain processing and spatial domain processing. Frequency processing involves transforming image information to the frequency domain, correcting the correlation coefficients, and then obtaining the processed image through an inverse transform. Examples of such image enhancement algorithms include Fourier transform and wavelet transform. The disadvantage of frequency processing is its large computational load, making it unsuitable for high-speed, real-time processing of infrared images. Spatial domain processing directly performs data operations on the pixels in the image. Examples of such image enhancement algorithms include grayscale transformation and histogram equalization. Their advantages include simple concepts, simple mathematical methods, and convenient transformations. However, these methods lack selectivity for the enhanced objects, and the enhancement effect is uncontrollable.
[0061] In view of this, embodiments of this application provide an enhancement algorithm for optimizing and filtering infrared images acquired by an infrared imaging module of an air conditioning system. Specifically, embodiments of this application obtain an edge-enhanced guiding image by superimposing edge information extracted from the original infrared image with the original infrared image. The regularization parameters are then optimized based on the richness of the edge information to obtain corrected regularization parameters. Furthermore, guided filtering processing is performed on the original infrared image and the edge-enhanced guiding image using the corrected regularization parameters to obtain more detailed detail layer information. Thus, after superimposing this detail layer information onto the original infrared image, a higher resolution and clearer detail infrared enhanced image can be obtained.
[0062] The air conditioning system provided in this application embodiment can be a cabinet air conditioner, a wall-mounted air conditioner, a water-cooled air conditioner, a window air conditioner, a central air conditioner, or a multi-split air conditioner. This application embodiment does not impose any restrictions on this.
[0063] To further describe the technical solutions of the embodiments of this application, as follows: Figure 1 The diagram shown is a structural diagram of an air conditioning system provided in an embodiment of this application.
[0064] Reference Figure 1 The air conditioning system 1 includes: an indoor unit 10, an outdoor unit 20, connecting pipes 30, an air conditioning controller 40 (not shown in the figure), and an infrared imaging module 50.
[0065] In some embodiments, the indoor unit 10 can be a wall-mounted unit or a floor-standing unit. Taking a wall-mounted unit as an example... Figure 1For example, indoor wall-mounted air conditioners are usually installed on indoor walls.
[0066] In some embodiments, the indoor unit 10 includes an indoor heat exchanger 101 for exchanging heat with indoor air, thereby cooling or heating the indoor air.
[0067] In some embodiments, such as Figure 2 As shown, the infrared imaging module 50 is disposed on the surface of the indoor unit 10 and is used to acquire infrared images of the room. For example, the infrared imaging module 50 can be an uncooled infrared focal plane detector, an infrared camera, or an infrared thermal imager.
[0068] For example, an infrared thermal imager can receive thermal radiation signals from an indoor environment and obtain a raw infrared image of the environment based on these signals. Its working principle is that the infrared thermal imager uses photoelectric devices to detect and measure radiation, establishing a correlation between radiation and surface temperature. All objects above absolute zero (-273°C) emit infrared radiation. The infrared thermal imager uses an infrared detector and an optical imaging lens to receive the infrared radiation energy distribution pattern of the target object and reflects it onto the photosensitive element of the infrared detector, thus obtaining an infrared thermal image. This thermal image corresponds to the heat distribution field of the object's surface. In simple terms, an infrared thermal imager converts the invisible infrared energy emitted by an object into a visible thermal image. Different colors in the thermal image represent different temperatures of the object. By viewing the thermal image, the overall temperature distribution of the target can be observed, the heating status of the target can be studied, and further decisions can be made.
[0069] In some embodiments, such as Figure 3 As shown, the infrared imaging module 50 may include an infrared lens 501, an infrared detector 502, a display 503, and an infrared imaging module controller 504.
[0070] In some embodiments, the infrared lens 501 is used to receive and aggregate thermal radiation signals emitted by objects in an indoor environment.
[0071] In some embodiments, the infrared detector 502 is used to convert the received thermal radiation signal into an electrical signal.
[0072] In some embodiments, the display 503 is used to convert electrical signals into a visible light image. In this embodiment, the original infrared image is a visible light image.
[0073] In some embodiments, such as Figure 4As shown, the infrared imaging module controller 504 is electrically connected to the infrared detector 502 and the display 503. It is used to generate operation control signals according to the instruction operation code and timing signal, instructing the infrared imaging module 50 to execute control commands. For example, the infrared imaging module controller 504 can extract the edge information of the original infrared image and superimpose the extracted edge information onto the original infrared image to obtain an edge-enhanced guide image.
[0074] For example, the infrared imaging module controller 504 can be a central processing unit (CPU), a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The infrared imaging module controller 504 can also be other devices with processing functions, such as circuits, devices, or software modules; this application embodiment does not impose any limitations on this.
[0075] In some embodiments, the infrared imaging module controller 504 can be a microcontroller unit (MCU). An MCU, also known as a single-chip microcomputer, is a chip-level computer that integrates a central processing unit (CPU) with appropriately reduced frequency and specifications, along with peripheral interfaces such as memory, timer, USB, A / D converter, UART, PLC, DMA, and even LCD driver circuitry, all onto a single chip. This allows for different combinations of control for various applications.
[0076] In addition, the infrared imaging module controller 504 can be used to control the operation of each component in the infrared imaging module 50, so that each component of the infrared imaging module 50 can operate to realize each predetermined function of the infrared imaging module 50.
[0077] In some embodiments, the outdoor unit 20 is typically installed outdoors to assist in heat exchange within the indoor environment. Additionally, in Figure 1 In the diagram, outdoor unit 20 is shown as a dashed line because it is located on the opposite side of indoor unit 10, separated by a wall.
[0078] In some embodiments, the outdoor unit 20 includes a compressor 201, a gas-liquid separator 202, an outdoor heat exchanger 203, a throttling device 204, and a four-way reversing valve 205.
[0079] In some embodiments, the compressor 201 is located inside the outdoor unit 20 and is used to power the refrigerant circulation.
[0080] In some embodiments, the gas-liquid separator 202 is connected to the suction port of the compressor 201 to contain the refrigerant in the refrigerant return section of the refrigerant passage, thereby preventing liquid slugging of the compressor 201.
[0081] In some embodiments, the outdoor heat exchanger 203 is connected to the exhaust port of the compressor 201 via a four-way reversing valve 205, for heat exchange between the refrigerant flowing in the heat transfer tubes of the outdoor heat exchanger 203 and the outdoor air.
[0082] In some embodiments, the throttling device 204 is disposed between the outdoor heat exchanger 203 and the indoor heat exchanger 101, and has the effect of expanding the refrigerant flowing through the throttling device 204 to achieve pressure reduction, thereby regulating the refrigerant flow rate in the refrigerant passage. Optionally, the throttling device 204 can be an electronic expansion valve.
[0083] In some embodiments, the connecting pipe 30 is disposed between the indoor unit 10 and the outdoor unit 20 to connect the indoor unit 10 and the outdoor unit 20 to form a refrigerant circulation loop for refrigerant circulation.
[0084] In some embodiments, such as Figure 5 As shown, the air conditioning controller 40 is electrically connected to the indoor heat exchanger 101, compressor 201, gas-liquid separator 202, outdoor heat exchanger 203, throttling device 204, four-way reversing valve 205, and infrared imaging module 50. It is used to generate operation control signals based on instruction operation codes and timing signals, instructing the air conditioning system 1 to execute control commands. For example, the air conditioning controller 40 can acquire enhanced infrared images generated by the infrared imaging module 50. Using information from these enhanced infrared images, the air conditioning controller 40 can control the air conditioning's operating mode or set the temperature, etc.
[0085] For example, the air conditioning controller 40 can be a central processing unit (CPU), a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The air conditioning controller 40 can also be other devices with processing functions, such as circuits, devices, or software modules; this application embodiment does not impose any limitations on this.
[0086] In some embodiments, the air conditioner controller 40 can be a microcontroller unit (MCU). An MCU, also known as a single-chip microcomputer, is a chip-level computer that integrates a central processing unit (CPU) with appropriately reduced frequency and specifications, along with peripheral interfaces such as memory, timer, USB, A / D converter, UART, PLC, DMA, and even LCD driver circuitry, all onto a single chip. This allows for different control combinations for various applications.
[0087] In addition, the air conditioner controller 40 can be used to control the operation of each component in the air conditioning system 1 so that each component of the air conditioning system 1 can operate to achieve each predetermined function of the air conditioning system 1.
[0088] It is understood that the structures illustrated in the embodiments of the present invention do not constitute a specific limitation on the air conditioning system. In other embodiments of this application, the air conditioning system may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
[0089] The embodiments of this application will now be described in detail with reference to the accompanying drawings.
[0090] like Figure 6 As shown in the figure, this application provides a control method for an air conditioning system, applied to the controller of an infrared imaging module. The method includes the following steps:
[0091] S101: Receive thermal radiation signals and perform imaging based on the thermal radiation signals to obtain the original infrared image.
[0092] For example, such as Figure 7 As shown, objects in the indoor environment emit thermal radiation signals. An infrared lens receives and summarizes the thermal radiation signals emitted by objects in the indoor environment. The controller of the infrared imaging module controls the infrared detector to convert the thermal radiation signals into electrical signals. The controller of the infrared module controls the display to convert the electrical signals into visible light images.
[0093] S102. Extract the edge information of the original infrared image and superimpose the extracted edge information onto the original infrared image to obtain an edge-enhanced guide image.
[0094] In some embodiments, S102 may include the following steps:
[0095] S1021. Perform a dilation operation on the original infrared image to obtain a dilated image.
[0096] As one possible approach, dilution of the original infrared image can be achieved by creating a 3x3 structuring element SE, covering each pixel of the original image with the origin of structuring element B, and assigning a value of 1 to any overlapping structuring element B, thus obtaining the dilated image BW.
[0097] S1022. Perform an erosion operation on the dilated image to obtain an eroded image.
[0098] As one possible approach, the erosion operation on the dilated image BW can be implemented by creating a 5x5 diagonal structuring element C, covering each pixel of the dilated image BW with the origin of structuring element C, and ensuring that the value of the overlap with the origin is 0 as long as structuring element 0 and structuring element 1 overlap, thus obtaining the eroded image BW2.
[0099] S1023. Subtract the erosion image from the dilated image to obtain the edge information of the original infrared image.
[0100] As can be seen from the above embodiments, by performing dilation and erosion operations sequentially on the original infrared image, a dilated image and an eroded image can be obtained. Subtracting the eroded image from the dilated image yields the edge information of the original infrared image.
[0101] S1024. The extracted edge information is superimposed on the original infrared image to obtain an edge-enhanced guide image.
[0102] As one possible approach, the extracted edge information is superimposed onto the original infrared image in a weighted manner to obtain an edge-enhanced guided image, thereby enhancing the original infrared image.
[0103] S103. Based on the edge-enhanced guide image and the original infrared image, the regularization parameters used for guide filtering are corrected.
[0104] Among them, the modified regularization parameter is negatively correlated with the richness of edge information.
[0105] As one possible implementation, the modified regularization parameters are expressed as:
[0106]
[0107] Where ε is the regularization parameter, ε ′ Here are the corrected regularization parameters, I is the original infrared image, and p is the edge-enhanced guide image.
[0108] As can be seen from the above embodiments, when enhancing the details of the edge information of the original infrared image, the covariance between the original infrared image and the enhanced guide image will increase. That is, the richer the edge information of the original infrared image, the smaller the corrected regularization parameter.
[0109] S104. Using the corrected regularization parameters and the edge-enhanced guiding image, guide filtering is performed on the original infrared image to obtain the detail layer information of the original infrared image.
[0110] In some embodiments, S104 may include the following steps:
[0111] S1041. Based on the following guided filtering formula, the base layer information of the original infrared image is obtained:
[0112] q = a k I+b k
[0113] In the formula, b k =p k -a k μ k ; q is the basic layer information, ε ′ Here are the corrected regularization parameters, where I is the original infrared image, p is the edge-enhanced guide image, and p... k μ is the mean value within the guide image window for edge enhancement. k The mean value within the original infrared image window. This represents the variance of the pixel grayscale values in the original infrared image window.
[0114] Because the filtering effect of guided filtering is affected by the original image, the filtering radius, and the regularization parameter, and because the regularization parameter is usually a fixed value in related technologies, windows with prominent details and rich edges in infrared images will appear blurred to varying degrees. The modified regularization parameter in this embodiment can be adjusted according to the edge information of the window. For windows with prominent details and rich edge information in the original image, a smaller regularization parameter is used, thereby allowing the original infrared image to retain more detail information during guided filtering and further improving the image layering effect.
[0115] S1042. Remove the base layer information from the original infrared image to obtain the detail layer information of the original infrared image.
[0116] S105. Superimpose the detail layer information onto the original infrared image to obtain an infrared enhanced image.
[0117] As one possible approach, the original infrared image and the detail layer information are weighted and summed using a first preset value as the weighting coefficient and a second preset value as the weighting coefficient, respectively, to obtain an infrared enhanced image; wherein, the first preset value is 1 and the second preset value is a positive number less than 1.
[0118] For example, the second preset value is 0.4.
[0119] As can be seen from the above embodiments, by setting the first preset value and the second preset value, the processing of the original infrared image and detail layer information is more detailed, thereby obtaining a clearer infrared enhanced image.
[0120] Figure 6 The illustrated embodiments offer at least the following beneficial effects: By superimposing the edge information extracted from the original infrared image with the original infrared image, an edge-enhanced guide image can be obtained. Furthermore, the regularization parameters are optimized based on the richness of the edge information to obtain modified regularization parameters. Further, by applying the modified regularization parameters to guide filtering of the original infrared image and the edge-enhanced guide image, more detailed detail layer information can be obtained. Thus, as... Figure 8 As shown, by overlaying this detail layer information onto the original infrared image, a higher resolution and clearer detail infrared enhanced image can be obtained. This makes the infrared images acquired by the air conditioning system through the infrared imaging module clearer, thereby improving the operating efficiency of the air conditioning system.
[0121] The following is combined Figure 9 This application describes a control method for an air conditioning system provided in an embodiment.
[0122] The infrared imaging module acquires data and generates raw infrared images.
[0123] The controller of the infrared imaging module dilates the original infrared image to obtain an inflated image.
[0124] The controller of the infrared imaging module erodes the dilatation image to obtain an eroded image.
[0125] The controller of the infrared imaging module obtains edge information by subtracting the erosion image from the dilated image.
[0126] The controller of the infrared imaging module weights the edge information with the original infrared image to obtain an edge-enhanced guide image.
[0127] The controller of the infrared imaging module uses the corrected regularization parameters and the edge-enhanced guide image to perform guided filtering on the original infrared image to obtain the base layer information of the original infrared image.
[0128] The controller of the infrared imaging module removes the base layer information from the original infrared image to obtain the detail layer information.
[0129] The controller of the infrared imaging module weights the original infrared image with detail layer information to obtain an infrared enhanced image.
[0130] As can be seen, the above mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, the embodiments of this application provide corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the modules and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software-driven hardware manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention.
[0131] This application embodiment can divide the controller into functional modules according to the above method example. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. Optionally, the module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.
[0132] This application also provides a hardware structure diagram of an air conditioner controller, as shown in the embodiment. Figure 10 As shown, the air conditioner controller 40 also includes a processor 401, and optionally, a memory 402 and a communication interface 403 connected to the processor 401. The processor 401, memory 402 and communication interface 403 are connected via a bus 404.
[0133] Processor 401 may be a central processing unit (CPU), a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. Processor 401 may also be any other device with processing capabilities, such as a circuit, device, or software module. Processor 401 may also include multiple CPUs, and processor 401 may be a single-core processor or a multi-core processor. Here, "processor" can refer to one or more devices, circuits, or processing cores used to process data (e.g., computer program instructions).
[0134] The memory 402 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or it may be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. This application embodiment does not impose any limitations on this. The memory 402 may exist independently or may be integrated with the processor 401. The memory 402 may contain computer program code. The processor 401 is used to execute the computer program code stored in the memory 402, thereby implementing the control method provided in this application embodiment.
[0135] The communication interface 403 can be used to communicate with other devices or communication networks (such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.). The communication interface 403 can be a module, circuit, transceiver, or any device capable of communication.
[0136] Bus 404 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Bus 404 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 10 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0137] This application also provides a computer-readable storage medium including computer-executable instructions that, when run on a computer, cause the computer to execute any of the air conditioning system control methods provided in the above embodiments.
[0138] This application also provides a computer program product containing computer execution instructions, which, when run on a computer, causes the computer to execute any of the air conditioning system control methods provided in the above embodiments.
[0139] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer-executable instructions. When these computer-executable instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer-executable instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer-executable instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks, SSDs).
[0140] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.
[0141] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely illustrative descriptions of the application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.
[0142] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. An air conditioning system, characterized in that, include: Indoor unit, including indoor heat exchanger; Outdoor unit, including compressor and outdoor heat exchanger; An infrared imaging module is installed on the surface of the indoor unit to collect infrared images of the room. The infrared imaging module is configured as follows: The system receives thermal radiation signals and performs imaging based on these signals to obtain a raw infrared image. The edge information of the original infrared image is extracted and superimposed onto the original infrared image to obtain an edge-enhanced guide image; Based on the edge-enhanced guiding image and the original infrared image, the regularization parameter used for guiding filtering is corrected. The corrected regularization parameter is negatively correlated with the richness of the edge information. The corrected regularization parameter is expressed as follows: Where ε is the regularization parameter, ε^' is the corrected regularization parameter, I is the original infrared image, and p is the edge enhancement guide image; Using the corrected regularization parameters and the edge-enhanced guiding image, the original infrared image is subjected to guided filtering to obtain the detail layer information of the original infrared image; The detail layer information is superimposed onto the original infrared image to obtain an infrared-enhanced image.
2. The air conditioning system according to claim 1, characterized in that, The infrared imaging module, which performs the extraction of edge information from the original infrared image, is further configured to: The original infrared image is dilated to obtain a dilated image; The dilated image is subjected to an erosion operation to obtain an eroded image; The edge information of the original infrared image is obtained by subtracting the erosion image from the dilated image.
3. The air conditioning system according to claim 1, characterized in that, The infrared imaging module performs guided filtering on the original infrared image using the corrected regularization parameters and the edge-enhanced guide image to obtain the detail layer information of the original infrared image, and is further configured as follows: The base layer information of the original infrared image is obtained according to the following guided filtering formula: In the formula, ， ； For the aforementioned base layer information, The modified regularization parameter is... The original infrared image, The guide image for edge enhancement. The mean value within the guide image window for edge enhancement. The mean value within the original infrared image window. The variance of the pixel grayscale values in the original infrared image window; The base layer information in the original infrared image is removed to obtain the detail layer information of the original infrared image.
4. The air conditioning system according to claim 1, characterized in that, The infrared imaging module performs the process of superimposing the detail layer information onto the original infrared image to obtain an infrared enhanced image, and is further configured to: The original infrared image and the detail layer information are weighted and summed using a first preset value as the weighting coefficient and a second preset value as the weighting coefficient, respectively, to obtain the infrared enhanced image. The first preset value is 1, and the second preset value is a positive number less than 1.
5. A control method for an air conditioning system, applied to an air conditioning system including an infrared imaging module, characterized in that, The infrared imaging module is configured as follows: The system receives thermal radiation signals and performs imaging based on these signals to obtain a raw infrared image. The edge information of the original infrared image is extracted and superimposed onto the original infrared image to obtain an edge-enhanced guide image; Based on the edge-enhanced guiding image and the original infrared image, the regularization parameter used for guiding filtering is corrected. The corrected regularization parameter is negatively correlated with the richness of the edge information. The corrected regularization parameter is expressed as follows: Where ε is the regularization parameter, ε^' is the corrected regularization parameter, I is the original infrared image, and p is the edge enhancement guide image; Using the corrected regularization parameters and the edge-enhanced guiding image, the original infrared image is subjected to guided filtering to obtain the detail layer information of the original infrared image; The detail layer information is superimposed onto the original infrared image to obtain an infrared-enhanced image.
6. The control method according to claim 5, characterized in that, The infrared imaging module, which performs the extraction of edge information from the original infrared image, is further configured to: The original infrared image is dilated to obtain a dilated image; The dilated image is subjected to an erosion operation to obtain an eroded image; The edge information of the original infrared image is obtained by subtracting the erosion image from the dilated image.
7. The control method according to claim 5, characterized in that, The infrared imaging module performs guided filtering on the original infrared image using the corrected regularization parameters and the edge-enhanced guide image to obtain the detail layer information of the original infrared image, and is further configured as follows: The base layer information of the original infrared image is obtained according to the following guided filtering formula: In the formula, ， ； For the aforementioned base layer information, The modified regularization parameter is... The original infrared image, The guide image for edge enhancement. The mean value within the guide image window for edge enhancement. The mean value within the original infrared image window. The variance of the pixel grayscale values in the original infrared image window; The base layer information in the original infrared image is removed to obtain the detail layer information of the original infrared image.
8. The control method according to claim 5, characterized in that, The infrared imaging module performs the process of superimposing the detail layer information onto the original infrared image to obtain an infrared enhanced image, and is further configured to: The original infrared image and the detail layer information are weighted and summed using a first preset value as the weighting coefficient and a second preset value as the weighting coefficient, respectively, to obtain the infrared enhanced image. The first preset value is 1, and the second preset value is a positive number less than 1.