Air conditioner temperature adjustment control method, storage medium and electronic device

Abstract

The application discloses an air conditioner temperature regulation control method, a storage medium and an electronic device, relates to the technical field of intelligent air conditioners, and discloses the air conditioner temperature regulation control method, which comprises the following steps: acquiring a thermal imaging image of a detection area of an air conditioner; inputting the thermal imaging image into a preset regulation temperature prediction model to obtain a target set temperature output by the regulation temperature prediction model; and adjusting the running temperature of the air conditioner to the target set temperature; wherein the regulation temperature prediction model is obtained by training based on sample thermal imaging images and air conditioner set temperature labels corresponding to the sample thermal imaging images. The air conditioner temperature regulation control method provided by the application can effectively improve the air conditioner temperature regulation control effect and precision, avoids the tedious operation of manual air conditioner temperature adjustment by a user, and thus improves the comfort of an environment and the user experience.

Description

Technical Field

[0001] This application relates to the field of intelligent air conditioning technology, and in particular to an air conditioner temperature regulation and control method, storage medium and electronic device. Background Technology

[0002] In recent years, with the rapid development of the social economy, air conditioners have become increasingly widely used in people's daily lives. Air conditioners provide a comfortable environment by regulating indoor temperature. However, many problems also exist in their daily use. Currently, air conditioner temperature settings are usually manual, set via remote control or mobile phone. Once set, this temperature remains unchanged for a long time. Changes in human activity can alter the ambient temperature. For example, eating hot pot indoors, cooking in a kitchen next to the living room, or exercising indoors can all change the room temperature and cause heat loss, making the set temperature uncomfortable. Therefore, manually set temperatures are often unsuitable for the current environment. Thus, providing a more precise and efficient air conditioner temperature control solution has become an urgent problem to solve. Summary of the Invention

[0003] This application provides an air conditioner temperature regulation control method to solve the defects of poor actual temperature setting effect and accuracy in the existing air conditioner temperature regulation control scheme.

[0004] This application provides a method for temperature regulation and control of an air conditioner, including:

[0005] Acquire thermal imaging images of the detection area of ​​the air conditioner;

[0006] The thermal imaging image is input into a preset temperature prediction model to obtain the target set temperature output by the temperature prediction model; the operating temperature of the air conditioner is then adjusted to the target set temperature.

[0007] The temperature prediction model is trained based on sample thermal imaging images and the corresponding air conditioning set temperature labels.

[0008] Furthermore, the step of inputting the thermal imaging image into a preset temperature prediction model to obtain the target set temperature output by the temperature prediction model specifically includes:

[0009] The thermal imaging image is input into a preset temperature prediction model to extract attribute information of different object state regions in the thermal imaging image, and a probability prediction analysis of the air conditioner setting temperature is performed based on the attribute information to obtain probability values ​​corresponding to different air conditioner setting temperatures. The air conditioner setting temperature corresponding to the highest probability value among the probability values ​​is determined as the target setting temperature. The attribute information includes temperature value information of different object state regions in the thermal imaging image and area size information of different object state regions.

[0010] Furthermore, the air conditioner temperature regulation and control method, after acquiring the thermal imaging image of the detection area of ​​the air conditioner, further includes:

[0011] The temperature value of each pixel in the thermal imaging image is compared with a preset temperature threshold, and the distribution area corresponding to the target pixel whose temperature value is greater than or equal to the temperature threshold is marked as an abnormal high temperature area.

[0012] Based on the distribution area corresponding to the target pixel, the morphological features of the abnormal high temperature region in the thermal imaging image are determined, and based on the morphological features, different object state regions contained in the abnormal high temperature region are determined; wherein, the different object state regions include gas state regions, liquid state regions and solid state regions.

[0013] Furthermore, the air conditioner temperature regulation and control method further includes, after adjusting the operating temperature of the air conditioner to the target set temperature: identifying a human body region in the thermal imaging image and detecting the temperature of the human body region corresponding to the human body region; if the temperature of the human body region is higher than a preset human body region temperature threshold, adjusting the operating temperature of the air conditioner to the corresponding cooling set temperature based on the difference between the human body region temperature and the human body region temperature threshold; wherein the cooling set temperature is lower than the target set temperature.

[0014] Furthermore, the human body region is a connected region composed of each pixel point corresponding to the target human body in the thermal imaging image;

[0015] The detection of the temperature of the human body region corresponding to the human body region specifically includes:

[0016] The temperature value corresponding to each pixel in the connected region is obtained, and the temperature of the human body region is determined based on the temperature value corresponding to each pixel in the connected region.

[0017] Furthermore, the air conditioner temperature adjustment and control method, after comparing the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, further includes: if it is determined that there is no abnormally high temperature area in the thermal imaging image, obtaining the air conditioner setting temperature input by the client, and adjusting the operating temperature of the air conditioner to the air conditioner setting temperature.

[0018] Furthermore, the air conditioner is equipped with a thermal imaging sensor, which is connected to the indoor unit of the air conditioner.

[0019] The acquisition of thermal imaging images of the detection area of ​​the air conditioner specifically includes:

[0020] The thermal imaging sensor detects the indoor ambient temperature of the air conditioner, and obtains a thermal imaging image of the detected area in the indoor environment.

[0021] This application also provides an air conditioner temperature regulation and control device, including:

[0022] Thermal imaging acquisition unit, used to acquire thermal imaging images of the detection area of ​​the air conditioner;

[0023] A temperature control unit is used to input the thermal imaging image into a preset temperature prediction model to obtain the target set temperature output by the temperature prediction model; and to adjust the operating temperature of the air conditioner to the target set temperature; wherein the temperature prediction model is trained based on sample thermal imaging images and the air conditioner set temperature labels corresponding to the sample thermal imaging images.

[0024] Furthermore, the temperature regulation and control unit is specifically used for:

[0025] The thermal imaging image is input into a preset temperature prediction model to extract attribute information of different object state regions in the thermal imaging image, and a probability prediction analysis of the air conditioner setting temperature is performed based on the attribute information to obtain probability values ​​corresponding to different air conditioner setting temperatures. The air conditioner setting temperature corresponding to the highest probability value among the probability values ​​is determined as the target setting temperature. The attribute information includes temperature value information of different object state regions in the thermal imaging image and area size information of different object state regions.

[0026] Furthermore, the air conditioner temperature regulation and control method, after acquiring the thermal imaging image of the detection area of ​​the air conditioner, further includes:

[0027] An abnormal high temperature region determination unit is used to compare the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, and mark the distribution area corresponding to the target pixel whose temperature value is greater than or equal to the temperature threshold as an abnormal high temperature region.

[0028] The object state region recognition unit is used to determine the morphological features of the abnormal high temperature region in the thermal imaging image based on the distribution region corresponding to the target pixel, and to determine the different object state regions contained in the abnormal high temperature region based on the morphological features; wherein, the different object state regions include gas state regions, liquid state regions and solid state regions.

[0029] Furthermore, the air conditioner temperature regulation control method further includes, after adjusting the operating temperature of the air conditioner to the target set temperature: a cooling regulation unit, used to identify human body regions in the thermal imaging image and detect the temperature of the human body region corresponding to the human body region; if the temperature of the human body region is higher than a preset human body region temperature threshold, then based on the difference between the human body region temperature and the human body region temperature threshold, the operating temperature of the air conditioner is adjusted to the corresponding cooling set temperature; wherein, the cooling set temperature is lower than the target set temperature.

[0030] Furthermore, the human body region is a connected region composed of each pixel point corresponding to the target human body in the thermal imaging image;

[0031] The detection of the temperature of the human body region corresponding to the human body region specifically includes:

[0032] The temperature value corresponding to each pixel in the connected region is obtained, and the temperature of the human body region is determined based on the temperature value corresponding to each pixel in the connected region.

[0033] Furthermore, the air conditioner temperature adjustment control method, after comparing the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, further includes: a temperature adjustment unit, used to obtain the air conditioner set temperature input by the client and adjust the operating temperature of the air conditioner to the air conditioner set temperature when it is determined that there is no abnormally high temperature area in the thermal imaging image.

[0034] Furthermore, the air conditioner is equipped with a thermal imaging sensor, which is connected to the indoor unit of the air conditioner.

[0035] The thermal imaging acquisition unit is specifically used for:

[0036] The thermal imaging sensor detects the indoor ambient temperature of the air conditioner, and obtains a thermal imaging image of the detected area in the indoor environment.

[0037] This application also provides a computer-readable storage medium comprising a stored program, wherein the program, when executed, implements any of the above-described air conditioner temperature regulation and control methods.

[0038] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the air conditioner temperature regulation and control method described above.

[0039] The air conditioner temperature regulation control method provided in this application acquires a thermal imaging image of the detection area of ​​the air conditioner and inputs the thermal imaging image into a preset temperature regulation prediction model to obtain the target set temperature output by the temperature regulation prediction model. Then, the operating temperature of the air conditioner is adjusted to the target set temperature. This method can effectively improve the temperature regulation control effect and accuracy of the air conditioner, avoid the tedious operation of manually adjusting the air conditioner temperature, and thus improve the comfort of the environment and the user experience. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0041] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart illustrating the air conditioner temperature regulation and control method provided in this application;

[0043] Figure 2 This is a schematic diagram of the structure of the air conditioner temperature regulation and control device provided in this application;

[0044] Figure 3 This is a schematic diagram of the electronic device provided in this application. Detailed Implementation

[0045] 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.

[0046] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this application are used to distinguish similar users and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or 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.

[0047] The following is a detailed description of embodiments of the air conditioner temperature regulation and control method described in this application. Figure 1 The diagram shown is a flowchart of the air conditioner temperature regulation and control method provided in this application. The specific implementation process includes the following steps:

[0048] Step 101: Acquire a thermal imaging image of the detection area of ​​the air conditioner.

[0049] In this embodiment of the invention, a thermal imaging sensor can be installed on the air conditioner, and the thermal imaging sensor is connected to the indoor unit of the air conditioner. The thermal imaging sensor detects the indoor ambient temperature of the air conditioner to obtain a thermal image of the detected area in the indoor environment. The thermal imaging sensor can be a thermal imager.

[0050] Furthermore, after acquiring a thermal imaging image of the detection area of ​​the air conditioner, the temperature value of each pixel in the thermal imaging image can be compared with a preset temperature threshold, and the distribution area corresponding to the target pixel with a temperature value greater than or equal to the temperature threshold can be marked as an abnormal high-temperature area. Typically, objects in gaseous, solid, and liquid states have different distribution patterns in space. Based on the distribution area corresponding to the target pixel, the morphological characteristics of the abnormal high-temperature area in the thermal imaging image are determined, and based on the morphological characteristics, different object state regions contained within the abnormal high-temperature area are determined. These different object state regions include gaseous, liquid, and solid state regions. For example, if the morphological characteristics are irregular and exhibit rapid diffusion, it is a gaseous state region; if the morphological characteristics are irregular and exhibit slow diffusion, it is a liquid state region; and if the morphological characteristics are fixed and in a fixed form, it is a solid state region.

[0051] In addition, for tasks involving temperature determination in solid, liquid, gaseous, and human body regions, a pre-defined convolutional neural network capable of classifying objects from temperature images (i.e., thermal imaging images) can be used. This convolutional neural network can then be used for object recognition or target detection tasks; for example, object detection-based convolutional neural networks such as Faster R-CNN, YOLO, and SSD can be used, without specific limitations here.

[0052] These convolutional neural networks typically require pre-training and fine-tuning to classify objects in temperature images. For temperature images, training with a suitable dataset is necessary so that these convolutional neural networks can learn to distinguish between solid, liquid, and gaseous states within different temperature ranges. It's important to note that object classification using thermal imagers requires pre-processing of the temperature images to obtain better image quality. Different types of objects may overlap in temperature, necessitating classification according to a pre-defined strategy.

[0053] Step 102: Input the thermal imaging image into a preset temperature prediction model to obtain the target set temperature output by the temperature prediction model; adjust the operating temperature of the air conditioner to the target set temperature. The temperature prediction model is trained based on sample thermal imaging images and the corresponding air conditioner set temperature labels.

[0054] Specifically, the thermal imaging image can be input into a preset temperature prediction model to extract attribute information of different object state regions in the thermal imaging image. Based on this attribute information, a probability prediction analysis of the air conditioner's set temperature is performed to obtain probability values ​​corresponding to different air conditioner set temperatures. The air conditioner set temperature corresponding to the highest probability value is determined as the target set temperature. The attribute information includes, but is not limited to, temperature values ​​and area information of different object state regions in the thermal imaging image. The temperature prediction model is a preset convolutional neural network (CNN) model capable of processing image data. Specifically, the CNN model can be trained using a preset CNN architecture, such as LeNet, AlexNet, or VGG, and these CNN architectures can be modified and optimized. For example, appropriate filters can be added to capture temperature distribution, or activation functions more suitable for processing temperature data can be used to obtain the CNN model. Before training the model, a dataset needs to be prepared, which contains a series of sample thermal imaging images (i.e., temperature images) and corresponding air conditioner set temperature labels (i.e., outlet air temperature labels). Using this training data, a pre-defined convolutional neural network architecture can be trained and optimized to accurately predict the most comfortable target set temperature (i.e., air outlet temperature). In practical implementation, a suitable air conditioning set temperature for most people in different environments can be determined by surveying people of different ages and genders. This set temperature can then be used as an air outlet temperature label dataset for continuous training and parameter tuning to provide optimal comfort. In the probability prediction analysis of air conditioning set temperatures based on the aforementioned attribute information, and in obtaining the probabilities corresponding to different air conditioning set temperatures, calculations or matching can be performed based on the temperature values ​​and area sizes of different object states in the thermal imaging image. Higher temperature values ​​and larger areas correspond to a higher probability of a relatively lower air conditioning set temperature (e.g., 16℃, 19℃), while lower temperature values ​​and smaller areas correspond to a lower probability of a relatively higher air conditioning set temperature (e.g., 25℃, 26℃). The different air conditioning set temperatures can include temperatures between 16℃ and 27℃.

[0055] In addition, after comparing the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, the method further includes: if it is determined that there is no abnormally high temperature area in the thermal imaging image, obtaining the air conditioner setting temperature input by the client, and adjusting the operating temperature of the air conditioner to the air conditioner setting temperature.

[0056] Furthermore, after adjusting the operating temperature of the air conditioner to the target set temperature, the human body region in the thermal imaging image can be identified, and the temperature of the corresponding human body region can be detected. If the temperature of the human body region is higher than a preset human body region temperature threshold, the operating temperature of the air conditioner is adjusted to the corresponding cooling set temperature based on the difference between the human body region temperature and the human body region temperature threshold; wherein, the cooling set temperature is lower than the target set temperature. It should be noted that the human body region is a connected region composed of pixels corresponding to the target human body in the thermal imaging image. The specific implementation process of detecting the temperature of the human body region includes: obtaining the temperature value corresponding to each pixel in the connected region, and determining the temperature of the human body region based on the temperature value corresponding to each pixel in the connected region, for example, averaging the temperature values ​​corresponding to each pixel in the connected region, and determining the average temperature value as the temperature of the human body region.

[0057] In this embodiment of the invention, based on the area and shape of the high-temperature region in the thermal imaging image, it can be calculated whether it is a solid, liquid, or gaseous state region. When the high-temperature region is a gaseous state region, the set temperature will change. Further precise judgment is made based on the temperature, the area of ​​the high-temperature region, and the temperature value. The thermal imager is the core equipment for implementing this solution. A high-performance, high-resolution thermal imager needs to be selected, capable of meeting the requirements of real-time monitoring and analysis, thereby ensuring the feasibility and accuracy of the solution. Object classification and recognition require the use of computer vision technology to classify and identify different objects, thereby obtaining corresponding temperature information. Therefore, a suitable convolutional neural network model needs to be selected and trained and optimized to improve the accuracy and robustness of classification and recognition. Temperature analysis and adjustment can be based on the temperature information obtained by the thermal imager. Related data analysis and processing are required, and the air conditioning temperature is automatically adjusted through a preset intelligent algorithm. Therefore, a suitable data processing and algorithm design method needs to be selected and optimized and debugged to improve the system's performance and efficiency. Furthermore, this solution requires the integration of multiple technologies, including thermal imagers, computer vision technology, and intelligent algorithms. Therefore, ensuring the stability and reliability of the entire system is crucial. This necessitates selecting appropriate hardware and software platforms and conducting relevant system optimization and testing to guarantee the solution's reliability and stability. The solution presented in this invention needs to fully consider the synergistic effects of multiple technologies, such as thermal imagers, computer vision technology, and intelligent algorithms, and perform corresponding optimizations and debugging to ensure the feasibility, accuracy, and reliability of the solution.

[0058] The air conditioner temperature regulation control method provided in this application acquires a thermal imaging image of the detection area of ​​the air conditioner and inputs the thermal imaging image into a preset temperature regulation prediction model to obtain the target set temperature output by the temperature regulation prediction model. Then, the operating temperature of the air conditioner is adjusted to the target set temperature. This method can effectively improve the temperature regulation control effect and accuracy of the air conditioner, avoid the tedious operation of manually adjusting the air conditioner temperature, and thus improve the comfort of the environment and the user experience.

[0059] The air conditioner temperature regulation control device provided in this application is described below. The air conditioner temperature regulation control device described below can be referred to in correspondence with the air conditioner temperature regulation control method described above. References Figure 2 The diagram shown is a structural schematic of the air conditioner temperature regulation control device provided in this application. The air conditioner temperature regulation control device described in this application specifically includes the following parts:

[0060] Thermal imaging acquisition unit 201 is used to acquire thermal imaging images of the detection area of ​​the air conditioner;

[0061] The temperature regulation control unit 202 is used to input the thermal imaging image into a preset temperature regulation prediction model to obtain the target set temperature output by the temperature regulation prediction model; and to adjust the operating temperature of the air conditioner to the target set temperature; wherein the temperature regulation prediction model is trained based on the sample thermal imaging image and the air conditioner set temperature label corresponding to the sample thermal imaging image.

[0062] Furthermore, the temperature regulation and control unit is specifically used for:

[0063] The thermal imaging image is input into a preset temperature prediction model to extract attribute information of different object state regions in the thermal imaging image, and a probability prediction analysis of the air conditioner setting temperature is performed based on the attribute information to obtain probability values ​​corresponding to different air conditioner setting temperatures. The air conditioner setting temperature corresponding to the highest probability value among the probability values ​​is determined as the target setting temperature. The attribute information includes temperature value information of different object state regions in the thermal imaging image and area size information of different object state regions.

[0064] Furthermore, the air conditioner temperature regulation and control method, after acquiring the thermal imaging image of the detection area of ​​the air conditioner, further includes:

[0065] An abnormal high temperature region determination unit is used to compare the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, and mark the distribution area corresponding to the target pixel whose temperature value is greater than or equal to the temperature threshold as an abnormal high temperature region.

[0066] The object state region recognition unit is used to determine the morphological features of the abnormal high temperature region in the thermal imaging image based on the distribution region corresponding to the target pixel, and to determine the different object state regions contained in the abnormal high temperature region based on the morphological features; wherein, the different object state regions include gas state regions, liquid state regions and solid state regions.

[0067] Furthermore, the air conditioner temperature regulation control method further includes, after adjusting the operating temperature of the air conditioner to the target set temperature: a cooling regulation unit, used to identify human body regions in the thermal imaging image and detect the temperature of the human body region corresponding to the human body region; if the temperature of the human body region is higher than a preset human body region temperature threshold, then based on the difference between the human body region temperature and the human body region temperature threshold, the operating temperature of the air conditioner is adjusted to the corresponding cooling set temperature; wherein, the cooling set temperature is lower than the target set temperature.

[0068] Furthermore, the human body region is a connected region composed of each pixel point corresponding to the target human body in the thermal imaging image;

[0069] The detection of the temperature of the human body region corresponding to the human body region specifically includes:

[0070] The temperature value corresponding to each pixel in the connected region is obtained, and the temperature of the human body region is determined based on the temperature value corresponding to each pixel in the connected region.

[0071] Furthermore, the air conditioner temperature adjustment control method, after comparing the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, further includes: a temperature adjustment unit, used to obtain the air conditioner set temperature input by the client and adjust the operating temperature of the air conditioner to the air conditioner set temperature when it is determined that there is no abnormally high temperature area in the thermal imaging image.

[0072] Furthermore, the air conditioner is equipped with a thermal imaging sensor, which is connected to the indoor unit of the air conditioner.

[0073] The thermal imaging acquisition unit is specifically used for:

[0074] The thermal imaging sensor detects the indoor ambient temperature of the air conditioner, and obtains a thermal imaging image of the detected area in the indoor environment.

[0075] The air conditioner temperature regulation control device provided in this application acquires a thermal imaging image of the detection area of ​​the air conditioner and inputs the thermal imaging image into a preset temperature regulation prediction model to obtain the target set temperature output by the temperature regulation prediction model. Then, the operating temperature of the air conditioner is adjusted to the target set temperature. This can effectively improve the temperature regulation control effect and accuracy of the air conditioner, avoid the tedious operation of manually adjusting the air conditioner temperature, and thus improve the comfort of the environment and the user experience.

[0076] Figure 3 An example is a schematic diagram of the physical structure of an electronic device. For example... Figure 3 As shown, the electronic device may include a processor 301, a communication interface 304, a memory 302, and a communication bus 303. The processor 301, communication interface 304, and memory 302 communicate with each other via the communication bus 303. The processor 301 can call logic instructions in the memory 302 to execute an air conditioner temperature regulation control method. This method includes: acquiring a thermal imaging image of the air conditioner's detection area; inputting the thermal imaging image into a preset temperature regulation prediction model to obtain a target set temperature output by the temperature regulation prediction model; and adjusting the air conditioner's operating temperature to the target set temperature. The temperature regulation prediction model is trained based on sample thermal imaging images and corresponding air conditioner set temperature labels.

[0077] Furthermore, the logical instructions in the aforementioned memory 302 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0078] On the other hand, this application also provides a computer program product, which includes a computer program that can be stored on a computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the air conditioner temperature regulation control method provided by the above methods. The method includes: acquiring a thermal imaging image of the detection area of ​​the air conditioner; inputting the thermal imaging image into a preset temperature regulation prediction model to obtain a target set temperature output by the temperature regulation prediction model; and adjusting the operating temperature of the air conditioner to the target set temperature. The temperature regulation prediction model is trained based on sample thermal imaging images and the air conditioner set temperature label corresponding to the sample thermal imaging images.

[0079] In another aspect, this application also provides a computer-readable storage medium, the computer-readable storage medium including a stored program, wherein the program, when running, executes the air conditioner temperature regulation control method provided by the above methods, the method comprising: acquiring a thermal imaging image of a detection area of ​​the air conditioner; inputting the thermal imaging image into a preset temperature regulation prediction model to obtain a target set temperature output by the temperature regulation prediction model; and adjusting the operating temperature of the air conditioner to the target set temperature; wherein the temperature regulation prediction model is obtained by training based on sample thermal imaging images and air conditioner set temperature labels corresponding to the sample thermal imaging images.

[0080] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent modifications can be made to some of the technical features. These modifications or corresponding modifications do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for temperature regulation and control of an air conditioner, characterized in that, include: Acquire thermal imaging images of the detection area of ​​the air conditioner; The thermal imaging image is input into a preset temperature prediction model to obtain the target set temperature output by the temperature prediction model; the operating temperature of the air conditioner is then adjusted to the target set temperature. The temperature prediction model is trained based on sample thermal imaging images and the corresponding air conditioner set temperature labels. The step of inputting the thermal imaging image into a preset temperature regulation prediction model to obtain the target set temperature output by the temperature regulation prediction model specifically includes: The thermal imaging image is input into a preset temperature prediction model to extract attribute information of different object state regions in the thermal imaging image, and a probability prediction analysis of the air conditioner setting temperature is performed based on the attribute information to obtain probability values ​​corresponding to different air conditioner setting temperatures. The air conditioner setting temperature corresponding to the highest probability value among the probability values ​​is determined as the target setting temperature. The attribute information includes temperature value information of different object state regions in the thermal imaging image and area size information of different object state regions. After acquiring thermal imaging images of the detection area of ​​the air conditioner, the process also includes: The temperature value of each pixel in the thermal imaging image is compared with a preset temperature threshold, and the distribution area corresponding to the target pixel whose temperature value is greater than or equal to the temperature threshold is marked as an abnormal high temperature area. Based on the distribution area corresponding to the target pixel, the morphological features of the abnormal high temperature region in the thermal imaging image are determined, and based on the morphological features, different object state regions contained in the abnormal high temperature region are determined; wherein, the different object state regions include gas state regions, liquid state regions and solid state regions.

2. The air conditioner temperature regulation and control method according to claim 1, characterized in that, After adjusting the operating temperature of the air conditioner to the target set temperature, the method further includes: identifying a human body region in the thermal imaging image and detecting the temperature of the human body region corresponding to the human body region; if the temperature of the human body region is higher than a preset human body region temperature threshold, then adjusting the operating temperature of the air conditioner to the corresponding cooling set temperature based on the difference between the human body region temperature and the human body region temperature threshold; wherein the cooling set temperature is lower than the target set temperature.

3. The air conditioner temperature regulation and control method according to claim 2, characterized in that, The human body region is a connected region composed of each pixel point corresponding to the target human body in the thermal imaging image; The detection of the temperature of the human body region corresponding to the human body region specifically includes: The temperature value corresponding to each pixel in the connected region is obtained, and the temperature of the human body region is determined based on the temperature value corresponding to each pixel in the connected region.

4. The air conditioner temperature regulation and control method according to claim 1, characterized in that, After comparing the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, the method further includes: if it is determined that there is no abnormally high temperature area in the thermal imaging image, obtaining the air conditioner setting temperature input by the client, and adjusting the operating temperature of the air conditioner to the air conditioner setting temperature.

5. The air conditioner temperature regulation and control method according to claim 1, characterized in that, The air conditioner is equipped with a thermal imaging sensor, which is connected to the indoor unit of the air conditioner. The acquisition of thermal imaging images of the detection area of ​​the air conditioner specifically includes: The thermal imaging sensor detects the indoor ambient temperature of the air conditioner, and obtains a thermal imaging image of the detected area in the indoor environment.

6. A temperature regulation and control device for an air conditioner, characterized in that, include: Thermal imaging acquisition unit, used to acquire thermal imaging images of the detection area of ​​the air conditioner; A temperature control unit is used to input the thermal imaging image into a preset temperature prediction model to obtain the target set temperature output by the temperature prediction model; and to adjust the operating temperature of the air conditioner to the target set temperature; wherein the temperature prediction model is trained based on sample thermal imaging images and the air conditioner set temperature labels corresponding to the sample thermal imaging images. The temperature regulation and control unit is specifically used for: The thermal imaging image is input into a preset temperature prediction model to extract attribute information of different object state regions in the thermal imaging image, and a probability prediction analysis of the air conditioner setting temperature is performed based on the attribute information to obtain probability values ​​corresponding to different air conditioner setting temperatures. The air conditioner setting temperature corresponding to the highest probability value among the probability values ​​is determined as the target setting temperature. The attribute information includes temperature value information of different object state regions in the thermal imaging image and area size information of different object state regions. After acquiring a thermal imaging image of the detection area of ​​the air conditioner, the device further includes: The abnormal high temperature area determination unit compares the temperature value of each pixel in the thermal imaging image with a preset temperature threshold, and marks the distribution area corresponding to the target pixel whose temperature value is greater than or equal to the temperature threshold as an abnormal high temperature area. The object state region recognition unit determines the morphological features of the abnormal high temperature region in the thermal imaging image based on the distribution region corresponding to the target pixel, and determines the different object state regions contained in the abnormal high temperature region based on the morphological features; wherein, the different object state regions include gas state regions, liquid state regions and solid state regions.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein the program, when executed, performs the air conditioner temperature regulation control method according to any one of claims 1 to 5.

8. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the air conditioner temperature regulation control method according to any one of claims 1 to 5 through the computer program.

Images