Air conditioner control method, system, electronic device, storage medium and vehicle

Abstract

An air conditioner control method, comprising: in response to a vehicle start signal, on the basis of acquired user image information, acquiring a first temperature control parameter corresponding to the user image information (S101); adjusting an air conditioner to a corresponding first temperature control parameter, and analyzing user state information on the basis of a pre-trained intention analysis model, to acquire user intention information (S102); confirming the user intention information on the basis of current user body temperature information, and generating a second temperature control parameter matching the user intention information on the basis of a confirmation result of the user intention information (S103); adjusting the air conditioner to the second temperature control parameter, monitoring user intention information in real time, and dynamically adjusting the second temperature control parameter (S104). By means of the described method, intelligent adjustment can be performed on the basis of the requirements and states of different passengers, and the temperature can be adjusted in a timely manner, improving the degree of comfort of passengers, and providing a more personalized temperature control experience. Also provided are an air conditioner control system, an electronic device, a storage medium, and a vehicle.

Description

Air conditioning control method, system, electronic device, storage medium and vehicle Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to an air-conditioning control method, system, electronic equipment, storage medium and vehicle. Background Art

[0002] With the rapid development of the automotive industry, people are increasingly demanding a more comfortable in-car environment. Temperature and the perceived environment are key factors affecting passenger comfort, leading to increasingly sophisticated demands for temperature control.

[0003] Traditional air conditioning systems primarily provide a comfortable passenger environment by regulating the overall temperature inside the vehicle. However, this one-size-fits-all approach to temperature control cannot meet the needs of all passengers, as different passengers have different temperature preferences and needs. For example, in cold winter weather, passengers may need to quickly increase the temperature after boarding the vehicle, and turning on the heated seats may make them feel too warm. Conversely, in hot summer weather, passengers may need to quickly lower the temperature inside the vehicle, and turning on the air conditioning may make them feel too cold.

[0004] To solve this problem, existing technologies mainly focus on how to adjust the temperature in the car more quickly. However, simply adjusting the temperature quickly cannot fully meet the personalized needs of passengers.

[0005] Therefore, the present application provides an air conditioning control method to solve the above technical problems.

[0006] Summary of the Invention

[0007] An object of the present invention is to provide an air conditioning control method, system, electronic device, storage medium and vehicle, which can solve at least one of the technical problems mentioned above.

[0008] In order to solve the above technical problems, the present invention provides an air conditioning control method, comprising:

[0009] In response to a vehicle start signal, based on the acquired user image information, acquiring a first temperature control parameter corresponding to the user image information, wherein the first temperature control parameter is determined according to a usage parameter of the user within a preset time period;

[0010] Adjusting the air conditioner to the corresponding first temperature control parameter, analyzing user status information based on a pre-trained intention analysis model to obtain user intention information, wherein the user status information includes user body temperature information;

[0011] Confirming the user intention information based on the current user body temperature information, and generating a second temperature control parameter that matches the user intention information according to a result of confirming the user intention information;

[0012] Adjust the air conditioner to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter.

[0013] In some specific embodiments, in response to a vehicle start signal, based on the acquired user image information, a first temperature control parameter corresponding to the user image information is acquired, wherein the first temperature control parameter is determined based on the user's usage parameters within a preset time period, specifically including:

[0014] When the vehicle is started, obtaining the user image information according to the vehicle start signal;

[0015] Identify the user image information, and match the corresponding user registration information based on the identification result of the user image information, wherein the identification result of the user image information includes the user's facial features, gender, and age;

[0016] Based on the user registration information, obtaining the user's usage parameters within the preset time period from a pre-established cloud database, wherein the usage parameters include the temperature parameter, wind speed parameter, and air outlet direction parameter of the air conditioner;

[0017] The usage parameters within the preset time period are analyzed to generate the first temperature control parameters.

[0018] In some specific embodiments, after identifying the user image information and matching the corresponding user registration information based on the identification result of the user image information, the method further includes:

[0019] When the recognition result of the user image information does not match the corresponding user registration information, marking the user's facial features;

[0020] Registering the user in the cloud database based on the marked facial features of the user in combination with the corresponding age and gender of the user;

[0021] Calling the cloud database to recommend the usage parameters of similar users based on the age and gender of the user;

[0022] The first temperature control parameter is generated based on the usage parameters of the similar users.

[0023] In some specific embodiments, the air conditioner is adjusted to the corresponding first temperature control parameter, and user status information is analyzed based on a pre-trained intention analysis model to obtain user intention information, wherein the user status information includes user body temperature information, specifically including:

[0024] adjusting the air conditioner based on the first temperature control parameter;

[0025] Acquiring user status information, wherein the user status information includes the user's body temperature information, user action information, and user expression information;

[0026] Based on the user's body temperature information, user's motion information, and user's facial expression information, the user's intention information is obtained according to the intention analysis model.

[0027] In some specific embodiments, based on the current user body temperature information, the user intention information is confirmed, and according to the confirmation result of the user intention information, a second temperature control parameter matching the user intention information is generated, specifically including:

[0028] Obtaining the current user's body temperature information;

[0029] Determining whether the user's body temperature information meets a preset temperature comfort value;

[0030] Based on the judgment result of whether the user body temperature information meets the preset temperature comfort value, combined with the user intention information, a second temperature control parameter matching the user intention information is generated, wherein the temperature comfort value includes the human body temperature comfort value.

[0031] In some specific embodiments, adjusting the air conditioner to the second temperature control parameter, monitoring the user intention information in real time, and dynamically adjusting the second temperature control parameter specifically include:

[0032] When the user's body temperature information does not meet the preset temperature comfort value and the user's intention information is repeated within a preset number of times, adjusting the air conditioner to the second temperature control parameter;

[0033] When the user's body temperature information meets the preset temperature comfort value, adjusting the air conditioner to the second temperature control parameter;

[0034] acquiring the user status information in real time, monitoring the intention information corresponding to the user status information, and dynamically adjusting the second temperature control parameter;

[0035] The dynamically adjusted second temperature control parameter and the corresponding intention information are uploaded.

[0036] Based on the same concept, the present invention also provides an air conditioning control system, comprising:

[0037] a first temperature control parameter acquisition module configured to, in response to a vehicle start signal and based on the acquired user image information, acquire a first temperature control parameter corresponding to the user image information, wherein the first temperature control parameter is determined according to a usage parameter of the user within a preset time period;

[0038] a user intention information acquisition module configured to adjust the air conditioner to the corresponding first temperature control parameter, analyze user status information based on a pre-trained intention analysis model, and acquire user intention information, wherein the user status information includes user body temperature information;

[0039] a second temperature control parameter acquisition module configured to confirm the user intention information based on the current user body temperature information, and generate a second temperature control parameter matching the user intention information according to the confirmation result of the user intention information;

[0040] The air conditioning control module is configured to adjust the air conditioning to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter.

[0041] Based on the same concept, the present invention also provides an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the air conditioning control method.

[0042] Based on the same concept, the present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the air conditioning control method.

[0043] Based on the same concept, the present invention also provides a vehicle, characterized in that the vehicle is provided with the air conditioning control system as described above.

[0044] Compared with the prior art, the beneficial effects are:

[0045] The present invention discloses an air-conditioning control method, system, electronic device, storage medium and vehicle, which can perform intelligent adjustment according to the needs and status of different passengers, provide a more personalized temperature control experience, and can adjust the temperature in time to improve the comfort of passengers by real-time analysis of the status and needs of passengers. It can perform intelligent adjustment according to actual needs, avoid unnecessary energy waste, comply with the concept of energy conservation and environmental protection, and passengers do not need to manually adjust the temperature, which simplifies the operation steps and improves convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] FIG1 is a flow chart of an air conditioning control method according to some specific embodiments of the present invention;

[0047] FIG2 is a schematic diagram of the architecture of an air conditioning control method of the present invention in some applications;

[0048] FIG3 is a flow chart of an air conditioning control method according to the present invention in some applications;

[0049] FIG4 is a schematic structural diagram of an air-conditioning control system according to some specific embodiments of the present invention;

[0050] FIG5 is a schematic structural diagram of an electronic device according to some specific embodiments of the present invention. DETAILED DESCRIPTION

[0051] To make the objectives, technical solutions, and advantages of this application more clear, this application will be further described in detail below with reference to the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0052] The terms used in the examples of this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a," "the," and "the" used in the examples of this application and the appended claims are also intended to include plural forms, and unless the context clearly indicates otherwise, "a plurality" generally includes at least two.

[0053] It should be understood that the term "and / or" as used herein is merely a description of the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0054] It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0055] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0056] It should also be noted that the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a product or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such product or device. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the product or device comprising the element.

[0057] It should be noted in particular that any symbols and / or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

[0058] 1 , an air conditioning control method includes:

[0059] S101, in response to a vehicle start signal, obtaining, based on acquired user image information, a first temperature control parameter corresponding to the user image information, wherein the first temperature control parameter is determined based on a usage parameter of the user within a preset time period;

[0060] It will be appreciated that in this step, based on the vehicle startup signal, user image information is captured by an image acquisition device (e.g., a camera), the user image information is recognized, and based on the recognition results, the user's air conditioning usage parameters for a preset time period, such as one month, are obtained. The first temperature control parameter is then determined based on the usage parameters. For example, based on the recognized user image information, the user's air conditioning usage parameters for the preset time period, such as one month, are further obtained. These parameters include, but are not limited to, the frequency with which the user activates the air conditioning, the temperature setting, and the duration of use. These air conditioning usage parameters are obtained by exchanging data with the vehicle's internal infotainment system or other communication module. Based on the obtained air conditioning usage parameters, the first temperature control parameter corresponding to the user image information is determined. These parameters are personalized based on the user's emotional state, body movements, and historical air conditioning usage habits. For example, if the user has frequently used the air conditioning and set the temperature low over the past month, the first temperature control parameter will be set to a lower value. Conversely, if the user has used the air conditioning less frequently and set the temperature high, the first temperature control parameter will be set to a higher value. Based on the first temperature control parameters, the vehicle's air conditioning system is automatically adjusted to achieve a personalized temperature environment. Users can enjoy a comfortable ride without any manual intervention. Furthermore, continuous optimization is performed based on real-time user feedback and environmental changes to further enhance the accuracy and adaptability of temperature control. For example, if a user reports that the temperature is too high or too low, the system automatically adjusts the primary temperature control parameters to better meet the user's personalized needs.

[0061] In some applications, in order to accurately generate the first temperature control parameter, in response to a vehicle start signal, based on the acquired user image information, the first temperature control parameter corresponding to the user image information is acquired, and the first temperature control parameter is determined based on the user's usage parameters within a preset time period. When the vehicle is started, the user image information is acquired according to the vehicle start signal; the user image information is recognized, and the corresponding user registration information is matched based on the recognition result of the user image information, the recognition result of the user image information including the user's facial features, gender and age; based on the user registration information, the user's usage parameters within a preset time period are acquired from a pre-established cloud database, the usage parameters including the temperature parameter, wind speed parameter and air outlet direction parameter of the air conditioner; the usage parameters within the preset time period are analyzed to generate the first temperature control parameter;

[0062] It will be appreciated that in this application, when the vehicle starts, user image information is captured via an internal camera or other image capture device. This image information includes, but is not limited to, the user's facial features, gender, and age. This captured user image information is analyzed using image recognition technology. First, the user's facial features, gender, and age are identified. These identification results are then matched with pre-registered user information. This matching process allows the user's identity to be determined. Based on the identified user identity, the user's usage parameters for a preset period, such as one month, are retrieved from a pre-established cloud database. These usage parameters include, but are not limited to, air conditioner temperature parameters, wind speed parameters, and air outlet direction parameters. By interacting with the cloud database, the user's personalized usage parameters can be retrieved in real time for subsequent temperature control. The captured usage parameters are analyzed to generate first temperature control parameters. Based on the user's historical usage habits and preferences, parameters such as the temperature range, wind speed, and air outlet direction that are appropriate for the user's needs are determined. For example, if the user's historical data indicates a preference for low temperatures and a gentle breeze, the first temperature control parameters may be set to a lower temperature and a lower wind speed.

[0063] In some embodiments, in order to provide a good experience even when a user uses the device for the first time, the user's image information is recognized, and after matching the corresponding user registration information based on the recognition result of the user's image information, if the recognition result of the user's image information does not match the corresponding user registration information, the user's facial features are marked; the user's facial features are combined with the corresponding user's age and gender and registered in a cloud database; the cloud database is called to recommend usage parameters for similar users based on the user's age and gender; and the first temperature control parameters are generated based on the usage parameters of the similar users;

[0064] It is understandable that if the recognition result does not match the corresponding user registration information, the user's facial features will be marked. Based on the marked user facial features, combined with the user's age and gender information, the user is registered in the cloud database. Through interaction with the cloud database, user information can be updated in real time and stored in the database. After completing the user registration, the cloud database is called to recommend usage parameters for similar users based on the user's age and gender information. These usage parameters include but are not limited to temperature parameters, wind speed parameters and outlet direction parameters of the air conditioner. By analyzing the usage habits and preferences of similar users, personalized temperature control parameters can be recommended to users. Based on the recommended usage parameters, the first temperature control parameters are generated. According to the user's age, gender and other characteristics, the usage parameters and personalized needs of similar users are comprehensively considered to generate temperature control parameters suitable for the user. For example, if the system finds that similar female users prefer low temperatures and like breezes, then the first temperature control parameters will be set to a lower temperature and a smaller wind speed.

[0065] S102: adjusting the air conditioner to the corresponding first temperature control parameter, analyzing user status information based on a pre-trained intention analysis model to obtain user intention information, wherein the user status information includes user body temperature information;

[0066] It is understandable that in this step, after the air conditioner is adjusted to the corresponding first temperature control parameter, the user's real-time status information is further obtained. This status information includes but is not limited to the user's body temperature information. The obtained user status information is analyzed by a pre-trained intent analysis model to obtain the user's intent information. For example, if the system detects that the user's body temperature is higher than the normal range, it can be inferred that the user feels overheated, and the air conditioner temperature is adjusted to lower the temperature. Based on the user's intent information, the settings of the air conditioning equipment are dynamically adjusted. For example, if the user feels overheated, the air conditioner is automatically set to a lower temperature and the wind speed is increased to provide a more comfortable temperature environment. This dynamic adjustment can respond to the user's status changes and needs in real time, providing more personalized temperature control. Throughout the temperature adjustment process, the intent analysis model is continuously optimized based on the user's actual experience and historical data to improve the accuracy and adaptability of intent recognition.

[0067] In some of these applications, in order to accurately obtain user intent information and adjust the air conditioner to a corresponding first temperature control parameter, user status information is analyzed based on a pre-trained intent analysis model to obtain user intent information, where the user status information includes user body temperature information, and the air conditioner is adjusted based on the first temperature control parameter; user status information is obtained, where the user status information includes user body temperature information, user motion information, and user expression information; user intent information is obtained based on the user body temperature information, user motion information, and user expression information according to the intent analysis model;

[0068] It is understandable that when the vehicle is started, the vehicle's air conditioning equipment is adjusted according to the first temperature control parameter to achieve a personalized temperature environment. These parameters can be set according to the user's personalized needs and historical usage habits. The user's body temperature information is monitored in real time by temperature sensors inside the vehicle. These sensors can be integrated in locations such as seats, dashboards, or doors to accurately measure the user's body temperature. The user's motion information is captured by motion recognition sensors or cameras inside the vehicle. This motion information includes but is not limited to gestures, body postures, and head movements. At the same time, through facial recognition, the user's facial expressions are captured in real time. The acquired user motion information and the corresponding user facial expressions are analyzed by the intent analysis model to further determine the user's comfort and needs. The intent analysis model extracts temperature change trends from the user's body temperature information, motion patterns and frequencies from the user's motion information, and emotional states from the user's facial expressions to infer the user's intentions.

[0069] The intent analysis model includes a temperature change trend extraction layer, an action pattern and frequency extraction layer, and an emotional state extraction layer:

[0070] The temperature trend extraction layer is used to extract temperature trends from user temperature information. The training process involves collecting a large amount of user temperature data and annotating the corresponding temperature trends, such as rising, falling, or stable. Features related to temperature trends, such as average temperature and fluctuation range, are extracted from the temperature data. The model is trained using this annotated dataset to learn the patterns and characteristics of temperature trends. For example, temperature data from 1,000 users over a week is collected and annotated as rising, falling, or stable. The average temperature extracted is 37.1°C with a fluctuation range of ±0.2°C. A linear regression model is then used for training to learn the patterns of temperature trends. User A's temperature data is: [37.2℃, 37.3℃, 37.4℃, 37.5℃, 37.6℃] (marked as an upward trend); user B's temperature data is: [37.0℃, 36.9℃, 36.8℃, 36.7℃, 36.6℃] (marked as a downward trend); user C's temperature data is: [37.2℃, 37.2℃, 37.2℃, 37.2℃, 37.2℃] (marked as a stable trend).

[0071] The motion pattern and frequency extraction layer extracts motion patterns and frequencies from user motion information. The training process involves collecting a large amount of user motion data and annotating the corresponding motion patterns and frequencies, such as trembling, wiping sweat, and stillness. Features related to these motion patterns and frequencies, such as force or amplitude, are then extracted from the motion data. The model is trained using this annotated dataset to learn the patterns and characteristics of these motion patterns and frequencies. For example, motion data from 1,000 users over a week is collected and annotated with categories such as trembling, wiping sweat, and stillness. The extracted force is 1.5 Newtons, and the amplitude is ±5 mm. A support vector machine model is used for training to learn the patterns and characteristics of these motion patterns and frequencies. User A's motion data is [trembling] (annotated as a trembling motion); user B's motion data is [wiping sweat] (annotated as a wiping motion); and user C's motion data is [stillness] (annotated as a stillness motion).

[0072] The emotional state extraction layer is used to extract emotional states from users' facial expressions. The training process involves collecting a large amount of user facial expression data and labeling the corresponding emotional states, such as happiness, sadness, and anger. Emotional state-related features, such as facial landmark locations and facial muscle movements, are then extracted from the facial expression data. The labeled dataset is used to train the model and learn the patterns and characteristics of emotional states. During training, the three model layers can be trained independently or integrated based on actual needs. For example, facial expression data from 1,000 users over a week is collected and labeled as happiness, sadness, and anger. The extracted facial landmark locations are (10, 20, 30), and the facial muscle movement amplitude is ±0.5 mm. A convolutional neural network model is trained to learn the patterns of emotional states. User A's facial expression data is [happy] (labeled as happiness); user B's facial expression data is [sad] (labeled as sadness); and user C's facial expression data is [angry] (labeled as anger).

[0073] Ultimately, by combining the outputs of the three model layers and using deep learning algorithms to fuse and process multimodal information, a comprehensive inference of user intent is made. For example, deep learning algorithms such as long short-term memory (LSTM) networks are used to fuse and process multimodal information, converting temperature trends, movement patterns and frequencies, and emotional state data into corresponding feature vectors. These three feature vectors are then merged into a single unified feature vector. This unified feature vector is then trained using an LSTM model to learn the inherent connections and patterns of multimodal information. Through training, the LSTM model comprehensively considers multimodal information and accurately infers user intent.

[0074] For example, if the user's body temperature is detected and they fan themselves, it can be inferred that they wish to lower the temperature. If their facial expression is relaxed, it can be inferred that they are satisfied with the current temperature. Based on the inferred intent, corresponding control instructions are generated to adjust the air conditioning settings. For example, if it is determined that the user wishes to lower the temperature, the air conditioner can be automatically set to cooling mode or lower the set point. If the user expresses satisfaction, the current temperature and fan speed remain unchanged.

[0075] S103, confirming the user intention information based on the current user body temperature information, and generating a second temperature control parameter that matches the user intention information according to the confirmation result of the user intention information;

[0076] It is understandable that this step finally confirms the user's intention information based on the user's body temperature information and other status information. Based on the confirmation result of the user's intention information, a second temperature control parameter is generated that matches the user's intention information. For example, if it is confirmed that the user feels overheated, the second temperature control parameter generated will tend to lower the temperature, increase the wind speed, or change the air outlet direction, etc., to provide a cooler environment. If it is confirmed that the user feels too cold, the second temperature control parameter generated will tend to increase the temperature, reduce the wind speed, or maintain the current air outlet direction, etc., to provide a warmer environment. If it is confirmed that the user is in a normal state, the second temperature control parameter generated will remain unchanged to maintain the current temperature and wind speed settings.

[0077] In some applications, in order to accurately generate a second temperature control parameter, the user's intention information is confirmed based on the current user's body temperature information, and the second temperature control parameter matching the user's intention information is generated based on the confirmation result of the user's intention information. The current user's body temperature information is obtained; whether the user's body temperature information meets a preset temperature comfort value is determined; based on the determination result of whether the user's body temperature information meets the preset temperature comfort value, the user's intention information is combined to generate a second temperature control parameter matching the user's intention information, where the temperature comfort value includes a human body temperature comfort value;

[0078] It will be appreciated that in this application, the preset temperature comfort range is set based on human comfort. This range can be adjusted to suit different populations and environmental conditions. The current body temperature is compared with the preset temperature comfort range, and the acquired user temperature information is compared with the preset temperature comfort range. If the user's temperature is above or below the comfort range, it can be determined that the user is overheating or undercooling. Based on whether the user's temperature meets the preset temperature comfort range and other user status information, such as movements and expressions, the user's intention is determined. For example, if the user's temperature is above the comfort range and they display fanning movements and a nervous expression, it can be determined that the user is overheating. Based on the determination of the user's intention, a second temperature control parameter is generated that matches the user's intention. If the user is overheating, the second temperature control parameter will tend to lower the temperature, increase the air speed, or change the airflow direction. If the user is undercooling, the second temperature control parameter will tend to increase the temperature, decrease the air speed, or maintain the current airflow direction. If the user is in a normal state, the generated second temperature control parameter remains unchanged.

[0079] S104: Adjust the air conditioner to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter.

[0080] It is understood that in this step, the vehicle's air conditioning equipment is automatically adjusted based on the generated second temperature control parameters to achieve a personalized temperature environment. This includes but is not limited to settings such as cooling, heating, wind speed, and airflow direction. During the adjustment process, the user's body temperature and intention information are monitored in real time to ensure that the air conditioning equipment settings match the user's actual needs. The user's intention information is continuously monitored to promptly respond to any status changes and needs. If a change in the user's intention or status is detected, the second temperature control parameters are adjusted accordingly to maintain a comfortable temperature environment.

[0081] In some applications, to further ensure user comfort, the air conditioner is adjusted to a second temperature control parameter, user intention information is monitored in real time, and the second temperature control parameter is dynamically adjusted. When the user's body temperature information does not meet the preset temperature comfort value and the user's intention information is repeated within a preset number of times, the air conditioner is adjusted to the second temperature control parameter; when the user's body temperature information meets the preset temperature comfort value, the air conditioner is adjusted to the second temperature control parameter; user status information is obtained in real time, the intention information corresponding to the user status information is monitored, and the second temperature control parameter is dynamically adjusted; the dynamically adjusted second temperature control parameter and the corresponding intention information are uploaded;

[0082] It is understood that in this application, based on the judgment result of the user's intention information, a second temperature control parameter is generated to match the user's intention information. When the user's body temperature information does not meet the preset temperature comfort value and the intention information is repeated within a preset number of times, for example, the user repeats the same intention information three times in a row, the air conditioning equipment is adjusted to the second temperature control parameter. When the user's body temperature information meets the preset temperature comfort value, the air conditioning equipment is directly adjusted to the second temperature control parameter based on the user's intention information. The dynamically adjusted second temperature control parameter and the corresponding intention information are uploaded to the server or cloud storage for subsequent analysis and optimization, thereby understanding the user's preferences and habits and further optimizing the temperature control system.

[0083] Through the above steps, intelligent adjustments can be made according to the needs and status of different passengers, providing a more personalized temperature control experience. By real-time analysis of the passenger's status and needs, the temperature can be adjusted in time to improve passenger comfort. Intelligent adjustments can be made according to actual needs, avoiding unnecessary energy waste and complying with the concept of energy conservation and environmental protection. Passengers do not need to manually adjust the temperature, which simplifies the operation steps and improves convenience.

[0084] The following describes embodiments of the air conditioning control method of the present invention in some applications with reference to FIG2 and FIG3 :

[0085] As shown in FIG2 , the implementation framework of this embodiment mainly includes three parts: vehicle-side application, cloud application, and cloud database.

[0086] Functional logic of each application:

[0087] Vehicle-side applications: 1. Equipped with a camera and infrared sensor; 2. Monitor the user's movements and expressions in real time through the camera and infrared sensor, and analyze the intention; 3. Intercept and report clips with movements, expressions, and body temperature changes; 4. Perform facial recognition and report facial registration information.

[0088] Cloud applications: 1. Perform data matching and send the matching results to the vehicle computer; 2. Equipped with a recommendation model, learn the movement information of people of different age groups and genders, and give recommended temperature control parameters; 3. Learn the personal behavior habits of each user and give recommended temperature control parameters.

[0089] Cloud database: 1. Stores users' personal registration information, temperature control preferences, action records, and driving air conditioning habits; 2. Categorizes and stores data.

[0090] As shown in Figure 3, when a user gets in the car, the car computer uses facial recognition to match the optimal temperature control parameters suitable for the user and automatically adjusts them;

[0091] When the user has action feedback, the car computer detects the user's current body temperature, matches the optimal temperature control parameters for the user, and sends them to adjust the air conditioner;

[0092] After the first adjustment based on the user's expression and actions, the system monitors the user's feedback in real time and gives a satisfaction rating. If the user is satisfied, the operation is recorded and uploaded to the cloud. If the user is not satisfied, the operation is repeated.

[0093] Passenger motion perception: Identify passenger movements based on in-car cameras.

[0094] Query the current in-car environment: Based on the in-car temperature sensor, query the current in-car temperature, compare it with the initial in-car temperature when the user first enters the car, and evaluate whether the current in-car temperature has dropped significantly compared to the initial temperature.

[0095] Example A: When the user first enters the car, the temperature inside the car is 30 degrees. When the camera detects the user hugging themselves or shivering, the current temperature inside the car is 24 degrees. The current temperature inside the car is significantly lower than the initial temperature.

[0096] Example B: When the user first enters the car, the temperature inside the car is 10 degrees. When the camera detects that the user is sweating or fanning himself, the current temperature inside the car is 28 degrees. This means that the current temperature inside the car has increased significantly compared to the initial temperature.

[0097] Passenger action intention confirmation:

[0098] Build an action database. Action A = passenger feels cold, Action B = passenger feels hot, Action C = passenger feels uncomfortable due to excessive wind speed, etc.

[0099] Based on the passengers' high-frequency actions, target action matches are screened in the action library to determine the user's intention.

[0100] Air conditioning operation confirmation:

[0101] Combining the above passenger actions and temperature changes in the car, the actual situation of the passenger's current state perception and the actual temperature changes are given, and the set temperature and wind speed of the passenger temperature zone are adjusted accordingly.

[0102] Information push:

[0103] The final decision change information is pushed to the air conditioner in the corresponding wind zone of the passenger.

[0104] Air conditioning action execution in target temperature zone:

[0105] The air conditioning in the car is adjusted accordingly to the corresponding temperature zone.

[0106] This embodiment dynamically adjusts the interior temperature based on passenger preferences, perceived temperature, and the external environment, creating a more pleasant and personalized driving environment. This comprehensive temperature management not only improves comfort but also creates a unique warmth experience for each passenger.

[0107] For the method steps disclosed in the above embodiments, for the purpose of simple description, the method steps are expressed as a series of action combinations. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0108] As shown in FIG4 , the present invention further provides an air conditioning control system, comprising:

[0109] A first temperature control parameter acquisition module 201 is configured to, in response to a vehicle start signal and based on the acquired user image information, acquire a first temperature control parameter corresponding to the user image information, wherein the first temperature control parameter is determined according to the user's usage parameters within a preset time period;

[0110] A user intention information acquisition module 202 is configured to adjust the air conditioner to the corresponding first temperature control parameter, analyze user status information based on a pre-trained intention analysis model, and acquire user intention information, wherein the user status information includes user body temperature information;

[0111] The second temperature control parameter acquisition module 203 is configured to confirm the user intention information based on the current user body temperature information, and generate a second temperature control parameter that matches the user intention information according to the confirmation result of the user intention information;

[0112] The air conditioning control module 204 is configured to adjust the air conditioning to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter.

[0113] It is worth noting that although only some basic functional modules are disclosed in the embodiment of the present invention, it does not mean that the composition of the present system is limited to the above basic functional modules. On the contrary, what this embodiment wants to express is that on the basis of the above basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with the existing technology to form an infinite number of embodiments or technical solutions. In other words, this system is open rather than closed. Just because this embodiment only discloses individual basic functional modules, it cannot be considered that the scope of protection of the claims of the present invention is limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above devices are described in terms of functions, which are divided into various units and modules. Of course, when implementing the present invention, the functions of each unit and module can be implemented in the same or one or more software and / or hardware.

[0114] As shown in Figure 5, the present invention also provides an electronic device, including: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the air conditioning control method.

[0115] Figure 5 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. As shown in Figure 5, the electronic device provided by an embodiment of the present invention includes: one or more processors 710 and a storage device 720. The electronic device may have one or more processors 710, with Figure 5 using one processor 710 as an example. The storage device 720 is used to store one or more programs. These one or more programs are executed by the one or more processors 710, enabling the one or more processors 710 to implement the air conditioning control method described in any of the embodiments of the present invention.

[0116] The electronic device may further include an input device 730 and an output device 740 .

[0117] The processor 710 , storage device 720 , input device 730 and output device 740 in the electronic device may be connected via a bus or other means. FIG5 takes the bus connection as an example.

[0118] The storage device 720 in the electronic device serves as a computer-readable storage medium and can be used to store one or more programs, which may be software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the air conditioning control method provided in the embodiments of the present invention. The processor 710 executes the software programs, instructions, and modules stored in the storage device 720 to execute various functional applications and data processing of the electronic device, thereby implementing the air conditioning control method in the above-mentioned method embodiment.

[0119] The storage device 720 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the electronic device, etc. In addition, the storage device 720 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 720 may further include a memory remotely located relative to the processor 710, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0120] The input device 730 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the electronic device. The output device 740 may include a display device such as a display screen.

[0121] The present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the air conditioning control method.

[0122] Specifically, the computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in combination with an instruction execution system, device or device.

[0123] The present invention also provides a vehicle, which is provided with the air-conditioning control system as described above.

[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An air conditioner control method, characterized in that, Including: In response to a vehicle start signal, based on the acquired user image information, obtain a first temperature control parameter corresponding to the user image information, wherein the first temperature control parameter is determined according to the user's usage parameters within a preset time period; Adjust the air conditioner to the corresponding first temperature control parameter, and based on a pre-trained intention analysis model, analyze the user status information to obtain user intention information, wherein the user status information includes user body temperature information; Based on the current user body temperature information, confirm the user intention information, and generate a second temperature control parameter that matches the user intention information according to the confirmation result of the user intention information; Adjust the air conditioner to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter.

2. The air conditioner control method according to claim 1, wherein In response to a vehicle start signal, based on the acquired user image information, obtain a first temperature control parameter corresponding to the user image information, wherein the first temperature control parameter is determined according to the user's usage parameters within a preset time period, specifically including: When the vehicle starts, obtain the user image information according to the vehicle start signal; Identify the user image information, and match the corresponding user registration information based on the recognition result of the user image information, wherein the recognition result of the user image information includes user facial features, gender, and age; Based on the user registration information, obtain the user's usage parameters within the preset time period in a pre-established cloud database, wherein the usage parameters include the temperature parameter, wind speed parameter, and air outlet orientation parameter of the air conditioner; Analyze the usage parameters within the preset time period to generate the first temperature control parameter.

3. The air conditioner control method according to claim 2, wherein After identifying the user image information and matching the corresponding user registration information based on the recognition result of the user image information, the method further includes: When the recognition result of the user image information does not match the corresponding user registration information, mark the user facial features; Register in the cloud database based on the marked user facial features combined with the corresponding user age and gender; Call the cloud database, and recommend the usage parameters of similar users based on the user age and gender; Generate the first temperature control parameter based on the usage parameters of the similar users.

4. The air conditioner control method according to claim 1, characterized in that, Adjust the air conditioner to the corresponding first temperature control parameter, and based on a pre-trained intention analysis model, analyze the user status information to obtain user intention information, wherein the user status information includes user body temperature information, specifically including: Adjust the air conditioner based on the first temperature control parameter; Obtain user status information, wherein the user status information includes the user body temperature information, user action information, and user expression information; Based on the user body temperature information, user action information, and user expression information, obtain the user intention information according to the intention analysis model.

5. The air conditioner control method according to claim 4, characterized in that Based on the current user body temperature information, confirm the user intention information, and generate a second temperature control parameter that matches the user intention information according to the confirmation result of the user intention information, specifically including: Obtain the current user body temperature information; Judge whether the user body temperature information meets the preset temperature comfort value; Based on the judgment result of whether the user body temperature information meets the preset temperature comfort value, combine the user intention information to generate a second temperature control parameter that matches the user intention information, where the temperature comfort value includes the human body temperature comfort value.

6. The air conditioner control method according to claim 5, characterized in that, Adjust the air conditioner to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter, specifically including: When the user body temperature information does not meet the preset temperature comfort value and the user intention information reappears within a preset number of times, adjust the air conditioner to the second temperature control parameter; When the user body temperature information meets the preset temperature comfort value, adjust the air conditioner to the second temperature control parameter; Obtain the user status information in real time, monitor the intention information corresponding to the user status information, and dynamically adjust the second temperature control parameter; Upload the dynamically adjusted second temperature control parameter and the corresponding intention information.

7. An air conditioner control system, characterized in that, Including: A first temperature control parameter acquisition module, configured to respond to a vehicle start signal, and based on the acquired user image information, acquire a first temperature control parameter corresponding to the user image information, where the first temperature control parameter is determined according to the user's usage parameters within a preset time period; A user intention information acquisition module, configured to adjust the air conditioner to the corresponding first temperature control parameter, analyze the user status information based on a pre-trained intention analysis model, and acquire user intention information, where the user status information includes user body temperature information; A second temperature control parameter acquisition module, configured to confirm the user intention information based on the current user body temperature information, and generate a second temperature control parameter that matches the user intention information according to the confirmation result of the user intention information; An air conditioner control module, configured to adjust the air conditioner to the second temperature control parameter, monitor the user intention information in real time, and dynamically adjust the second temperature control parameter.

8. An electronic device, characterized in that, Including: A processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that It stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the method according to any one of claims 1 to 6.

10. A vehicle, characterized in that, The vehicle is provided with the air conditioner control system according to claim 7.

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