Vehicle cabin environment control method and related device

Abstract

The application discloses a vehicle cabin environment control method and related equipment, relates to automobile electronics and intelligent cabin environment control, and mainly aims at solving the problem that traditional automobile cabin environment control can only independently detect and adjust a single environment parameter and lacks cooperative control. The method comprises the following steps: obtaining target environment data of a vehicle cabin, wherein the target environment data is composed of at least three parameters that affect the comfort of the vehicle cabin environment; calculating a comprehensive environment comfort score based on the target environment data, wherein the comprehensive environment comfort score is used for evaluating the comfort of the vehicle cabin environment; and generating a vehicle cabin environment control instruction based on the comprehensive environment comfort score. The application is used for a vehicle cabin environment control process.

Description

Technical Field

[0001] This invention relates to automotive electronics and intelligent cockpit environment control, and more particularly to a vehicle cockpit environment control method and related equipment. Background Technology

[0002] With the rapid development of automotive intelligence and electrification technologies, users are placing increasingly higher demands on the comfort, health, and safety of the cabin environment. However, traditional automotive cabin environmental control systems are inadequate in meeting these demands. Their core technology typically relies on a single or a few types of environmental sensors, such as only temperature and humidity sensors or PM2.5 sensors. This architecture means that the system can only detect and control a specific environmental parameter (such as temperature or particulate matter concentration) in isolation, and cannot simultaneously acquire and comprehensively consider other key environmental factors that affect occupant comfort, thus exposing significant limitations. Therefore, the fundamental problem with traditional automotive cabin environmental control technology is that it can only independently detect and adjust a single environmental parameter, and seriously lacks a mechanism for synchronously monitoring and coordinating the control of multiple environmental factors. Summary of the Invention

[0003] In view of the above problems, the present invention provides a vehicle cabin environment control method and related equipment, the main purpose of which is to solve the problem that traditional automotive cabin environment control can only perform independent detection and adjustment of a single environmental parameter and lacks coordinated control.

[0004] To solve at least one of the above-mentioned technical problems, in a first aspect, the present invention provides a vehicle cabin environment control method, the method comprising: Acquire target environmental data of the vehicle cabin, wherein the target environmental data is based on at least three parameters that affect the comfort of the vehicle cabin environment; A comprehensive environmental comfort score is calculated based on the target environmental data, wherein the comprehensive environmental comfort score is used to evaluate the comfort level of the vehicle cabin environment; Vehicle cabin environment control commands are generated based on the comprehensive environmental comfort score.

[0005] Optionally, the environmental data includes temperature data, humidity data, harmful gas concentration data, particulate matter concentration data, light intensity data, and noise data. Acquiring the target environmental data for the vehicle cabin includes: Collect raw environmental data of the vehicle cabin; The raw environmental data is cleaned, denoised, and normalized to obtain the target environmental data. The data cleaning process is used to correct outliers and fill in missing values. The data denoising is used to eliminate data noise. The data normalization is used to convert the data into dimensionless numerical values.

[0006] Optionally, calculating the comprehensive environmental comfort score based on the target environmental data includes: Each target environment data point is compared with its respective preset comfort range to obtain the degree to which each target environment data point deviates from its respective preset comfort range; A single comfort score is determined based on the degree to which each of the target environment data deviates from its respective preset comfort range; The comprehensive environmental comfort score is calculated based on the individual comfort score of each target environment data and its corresponding weighting coefficient.

[0007] Optionally, the step of calculating the comprehensive environmental comfort score based on the individual comfort scores of each of the target environment data and their corresponding weighting coefficients includes: The comprehensive environmental comfort score is calculated based on the following formula:

[0008] in, Weighting coefficients for temperature data, Weighting coefficients for humidity data Weighting coefficients for harmful gas concentration data, Weighting coefficients for particulate matter concentration data, Weighting coefficients for light intensity data, These are the weighting coefficients for the noisy data. , This is the comfort function corresponding to each target environment data.

[0009] Optionally, the method further includes: Construct the judgment matrix:

[0010] in, Indicates parameters Relative to parameters The importance of , , ; Calculate the largest eigenvalue of the judgment matrix. and the corresponding feature vector ; The feature vector After normalization, the weight values ​​of each target environment data are obtained, wherein the normalization formula is:

[0011] in, These are the weight values ​​of the original feature vector. The number of data points in the target environment.

[0012] Optionally, generating vehicle cabin environment control commands based on the comprehensive environmental comfort score includes: If the overall environmental comfort score is lower than the preset score, obtain the data in the target environment data whose values ​​deviate from their respective preset comfort ranges; Vehicle cabin environment control commands are generated based on the target environmental data where the values ​​deviate from their respective preset comfort ranges.

[0013] Optionally, generating vehicle cabin environment control commands based on target environmental data whose values ​​deviate from their respective preset comfort ranges includes: If the temperature data is not within its preset comfort range, an air conditioning control command is generated; If the humidity data is not within its preset comfort range, a humidity control command is generated; When the concentration of harmful gases or particulate matter exceeds the preset comfort range, an air purification control command is generated. When the light intensity data is not within its preset comfort range, a light control command is generated; When the noise data exceeds its preset comfort range, a noise reduction control command is generated.

[0014] Secondly, embodiments of the present invention also provide a vehicle cabin environment control device, comprising: An acquisition unit is used to acquire target environmental data of the vehicle cabin, wherein the target environmental data is based on at least three parameters that affect the comfort of the vehicle cabin environment; A calculation unit is used to calculate a comprehensive environmental comfort score based on the target environmental data, wherein the comprehensive environmental comfort score is used to evaluate the comfort level of the vehicle cabin environment. The generation unit is used to generate vehicle cabin environment control commands based on the comprehensive environmental comfort score.

[0015] To achieve the above objectives, according to a third aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium comprising a stored program, wherein, when the program is executed by a processor, the steps of the above-described vehicle cabin environment control method are implemented.

[0016] To achieve the above objectives, according to a fourth aspect of the present invention, an electronic device is provided, comprising at least one processor and at least one memory connected to the processor; wherein the processor is configured to invoke program instructions in the memory to execute the steps of the vehicle cabin environment control method described above.

[0017] By employing the above technical solution, the vehicle cabin environment control method and related equipment provided by this invention address the problem that traditional automotive cabin environment control can only independently detect and adjust a single environmental parameter, lacking coordinated control. This invention acquires target environmental data of the vehicle cabin, which is based on at least three parameters affecting the comfort of the vehicle cabin environment; calculates a comprehensive environmental comfort score based on the target environmental data, which is used to evaluate the comfort level of the vehicle cabin environment; and generates vehicle cabin environment control commands based on the comprehensive environmental comfort score. In this solution, by simultaneously collecting data on at least three parameters affecting cabin comfort, the perception dimension is expanded, enabling the acquisition of more comprehensive environmental state information than traditional single-parameter detection. Next, a comprehensive evaluation mechanism is introduced, which transforms the acquired multi-dimensional environmental data into a unified, quantified comprehensive environmental comfort score. This score, as a single indicator characterizing the overall environmental comfort level, replaces the independent and potentially contradictory judgment criteria of multiple parameters in traditional systems, thus providing a global decision-making basis for the system. Ultimately, the system makes decisions and generates control commands based on this comprehensive score. This means that the triggering of control actions no longer depends on whether a certain isolated parameter exceeds the limit, but on whether the overall environment is comfortable. This guides the system to make coordinated and holistic adjustments to the environment, rather than responding locally to a single problem.

[0018] Correspondingly, the vehicle cabin environment control device, equipment, and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0019] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0020] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1A flowchart illustrating a vehicle cabin environment control method provided by an embodiment of the present invention is shown. Figure 2 This diagram illustrates the composition of a vehicle cabin environment control device according to an embodiment of the present invention. Figure 3 This diagram illustrates the composition of a vehicle cabin environment control electronic device according to an embodiment of the present invention. Detailed Implementation

[0021] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0022] To address the problem that traditional automotive cabin environment control can only independently detect and adjust single environmental parameters, lacking coordinated control, this invention provides a vehicle cabin environment control method, such as... Figure 1 As shown, the method includes: S101. Obtain target environmental data of the vehicle cabin, wherein the target environmental data is based on at least three parameters that affect the comfort of the vehicle cabin environment; In this application, target environmental data for the vehicle cabin is obtained by simultaneously collecting raw environmental data for at least three of the aforementioned parameters through the deployment of various types of environmental sensors within the cabin. These sensors are positioned at specific locations within the cabin based on their detection characteristics. For example, temperature sensors are located at the front and rear of the cabin to capture regional temperature differences; humidity sensors are installed in the middle of the cabin near the occupants' usual seating positions to accurately detect humidity; air quality sensors are placed near the vents to effectively monitor the concentration of harmful gases and particulate matter; light intensity sensors are installed at the top of the cabin near the windshield to capture changes in natural light; and noise level sensors are distributed at multiple points within the cabin to comprehensively assess noise distribution. The collected raw environmental data undergoes a series of preprocessing operations, including data cleaning to identify and correct outliers or supplement missing data points, data denoising to smooth random fluctuations and interference signals, and data normalization to convert parameter values ​​of different dimensions to a uniform numerical range, thereby obtaining high-quality and comparable target environmental data.

[0023] By employing the aforementioned technical solution, and simultaneously collecting multiple environmental parameters and converting them into standardized target environmental data, the system can obtain more comprehensive cabin environmental status information than traditional single-parameter detection. This lays a multi-dimensional data foundation for subsequent environmental comfort assessment, enabling environmental control to move beyond independent adjustments of individual parameters and make decisions based on the overall environmental conditions. This reduces the possibility of control conflicts or comfort imbalances caused by incomplete parameter detection, thereby improving the integrity and adaptability of cabin environmental control.

[0024] In one embodiment, the environmental data includes temperature data, humidity data, harmful gas concentration data, particulate matter concentration data, light intensity data, and noise data. Acquiring the target environmental data for the vehicle cabin includes: Collect raw environmental data of the vehicle cabin; The raw environmental data is cleaned, denoised, and normalized to obtain the target environmental data. The data cleaning process is used to correct outliers and fill in missing values. The data denoising is used to eliminate data noise. The data normalization is used to convert the data into dimensionless numerical values.

[0025] For example, the parameters affecting the comfort of the vehicle cabin environment include temperature data, humidity data, harmful gas concentration data, particulate matter concentration data, light intensity data, and noise data. Temperature data reflects the thermal environment conditions inside the cabin, humidity data reflects the degree of air humidity, harmful gas concentration data reflects the pollution level of gases such as carbon dioxide or formaldehyde, particulate matter concentration data reflects the content of fine particulate matter in the air, light intensity data reflects the brightness of light inside the cabin, and noise data reflects the sound intensity level inside the cabin.

[0026] For example, the data cleaning, data denoising, and data normalization described above are key steps in preprocessing raw environmental data. Data cleaning aims to identify and correct outliers in the raw data, such as sudden jumps caused by sensor malfunctions, and to supplement missing data points in a reasonable manner to ensure data continuity. Data denoising smooths the data through filtering algorithms, reducing the impact of random fluctuations or interference signals. Data normalization transforms environmental parameter values ​​of different dimensions into a uniform numerical range, making heterogeneous parameters such as temperature data, humidity data, harmful gas concentration data, particulate matter concentration data, light intensity data, and noise data comparable.

[0027] The above data normalization operation is specifically as follows:

[0028] in, This is the original environmental data. The minimum value in the dataset. The maximum value in the dataset. This refers to the normalized target environment data.

[0029] In this embodiment, the process of acquiring target environmental data first involves collecting raw environmental data through various sensors deployed within the cockpit. This data may contain inaccurate information due to sensor errors or external interference. Subsequently, the system performs data cleaning. For example, when temperature data is detected to exceed a reasonable range, it is considered an outlier and interpolated based on data from preceding and following times. For temporarily missing humidity data, the average or median over the time period is used to fill in the gaps. Data denoising employs filtering techniques, such as mean filtering, to eliminate high-frequency noise and preserve the true trend of environmental changes. Finally, data normalization linearly transforms each parameter value to the range of zero to one. By subtracting the minimum value from the dataset and dividing by the range, all parameters are brought to the same scale, facilitating subsequent comprehensive processing.

[0030] By employing the aforementioned technical solutions, through data cleaning, denoising, and normalization, errors and interference in the original environmental data are reduced, and data quality is improved, providing a stable and consistent input for subsequent calculations of the comprehensive environmental comfort score. This preprocessing step ensures a more reasonable weighting of different environmental parameters in the comprehensive assessment, avoiding assessment biases caused by inconsistent data dimensions or quality defects, thereby supporting the system in generating more reliable environmental control instructions.

[0031] S102. Calculate a comprehensive environmental comfort score based on the target environmental data, wherein the comprehensive environmental comfort score is used to evaluate the comfort level of the vehicle cabin environment. In one embodiment, calculating the comprehensive environmental comfort score based on the target environment data includes: Each target environment data point is compared with its respective preset comfort range to obtain the degree to which each target environment data point deviates from its respective preset comfort range; A single comfort score is determined based on the degree to which each of the target environment data deviates from its respective preset comfort range; The comprehensive environmental comfort score is calculated based on the individual comfort score of each target environment data and its corresponding weighting coefficient.

[0032] For example, the aforementioned preset comfort range is a range of parameters representing human comfort based on various target environmental data such as temperature and humidity. The degree of deviation from the preset comfort range is used to quantify the difference between the actual value of each parameter and its comfort range boundary. The individual comfort score is a score value calculated based on the aforementioned deviation degree, used to reflect the comfort level of a single environmental parameter. The weighting coefficient represents the difference in relative importance of different environmental parameters, such as temperature data and noise data, in the overall comfort assessment.

[0033] In this embodiment, the process of calculating the comprehensive environmental comfort score first compares the preprocessed target environmental data with preset comfort ranges for each parameter to determine the degree of deviation. For example, when the temperature data exceeds the maximum value of the preset comfort range, it is considered to have deviated, and the degree increases with the value exceeding the preset range. Then, based on the degree of deviation of each parameter, a standardized scoring interval is mapped to generate a corresponding individual comfort score, which reflects the contribution level of that single parameter to comfort. Finally, the system assigns a weight coefficient corresponding to the importance of each individual comfort score. Factors with a more critical impact on overall comfort, such as temperature and humidity data, are given higher weights, while factors with a relatively minor impact are given lower weights. Through a weighted calculation, the products of the individual comfort scores of all parameters and their weight coefficients are summed to obtain a comprehensive environmental comfort score that fully characterizes the overall environmental comfort level of the cabin.

[0034] By employing the aforementioned technical solution, the independent states of multiple environmental parameters are integrated into a unified score, providing the system with a global and quantitative basis for decision-making. This allows the system to move beyond isolated judgments based on a single parameter exceeding its limit, and instead consider the overall comfort level by coordinating the impact of various environmental factors. Consequently, the generated control commands are guided to focus more on restoring the overall comfort of the cabin environment, reducing the risk of one-sided control strategies or secondary environmental problems that may result from responding only to changes in individual parameters. This enhances the systematic nature of environmental regulation and the overall comfort experience of the occupants.

[0035] In one embodiment, calculating the comprehensive environmental comfort score based on the individual comfort scores of each of the target environment data and their corresponding weighting coefficients includes: The comprehensive environmental comfort score is calculated based on the following formula:

[0036] in, Weighting coefficients for temperature data, Weighting coefficients for humidity data Weighting coefficients for harmful gas concentration data, Weighting coefficients for particulate matter concentration data, Weighting coefficients for light intensity data, These are the weighting coefficients for the noisy data. , This is the comfort function corresponding to each target environment data.

[0037] For example, the aforementioned weighting coefficients are proportional factors used to measure the proportion of different environmental parameters in the overall comfort assessment, and the sum of the weighting coefficients of all parameters is one. The comfort function is a mapping rule that converts the actual value of each target environmental data into a score representing its comfort level.

[0038] For example, This is used to map parameter values ​​to comfort rating ranges, for example, it can be defined as: when (Within the comfortable temperature range) ;when hour, ;when hour, Other parameters The function is defined similarly.

[0039] In this application, the calculation of the comprehensive environmental comfort score is achieved through a weighted summation mathematical process. First, each target environmental data point is processed using a comfort function to obtain a corresponding individual comfort score, which reflects the comfort level of that parameter. Then, each individual comfort score is multiplied by its pre-set weighting coefficient; this step amplifies the influence of parameters with a greater impact on overall comfort. Finally, all weighted scores are summed to obtain a single comprehensive environmental comfort score. For example, the weighting coefficient for temperature data is typically set higher than that for noise data, indicating that the temperature parameter contributes more to the final score than the noise parameter, thus more accurately reflecting the key influence of temperature on human comfort.

[0040] By employing the aforementioned technical solution, and through weighted calculations of each environmental parameter, the comprehensive environmental comfort score can more reasonably reflect the differentiated impact of various parameters on occupant comfort. This method ensures that the final score not only considers all environmental factors but also highlights the dominant role of key parameters. This guides the system to prioritize and adjust the environmental factors that have the most significant impact on comfort when generating control commands, reducing the excessive influence of fluctuations in individual parameters on the overall evaluation, and improving the accuracy of environmental control and its alignment with actual human sensations.

[0041] In one embodiment, the method further includes: Construct the judgment matrix:

[0042] in, Indicates parameters Relative to parameters The importance of , , ; Calculate the largest eigenvalue of the judgment matrix. and the corresponding feature vector ; The feature vector After normalization, the weight values ​​of each target environment data are obtained, wherein the normalization formula is:

[0043] in, These are the weight values ​​of the original feature vector. The number of data points in the target environment.

[0044] For example, the judgment matrix described above is a square matrix whose elements quantitatively represent the relative importance of pairwise comparisons between different environmental parameters. The largest eigenvalue is an eigenvalue of the judgment matrix, and the eigenvector is a vector corresponding to that eigenvalue, whose components reflect the initial weighting of each parameter. Normalization is a mathematical process that adjusts the components of the vector so that their sum equals 1.

[0045] In this embodiment, the process of determining the weight values ​​of each target environmental data point begins with constructing a judgment matrix. Experts or based on experience compare parameters such as temperature and humidity data pairwise, assigning specific values ​​to matrix elements according to their relative importance. For example, if temperature data is considered significantly more important than noise data, the corresponding element can be assigned a value of five. Subsequently, the largest eigenvalue of the judgment matrix and its corresponding eigenvector are calculated. Each component of this eigenvector initially expresses the weight tendency of each parameter. Finally, the eigenvector is normalized by dividing each component by the sum of all components, resulting in a set of final weight values ​​that sum to one. For example, after normalization, the weight coefficient for temperature data might be 0.3, and the weight coefficient for noise data might be 0.05.

[0046] By employing the aforementioned technical solution, weights are determined through the construction of a judgment matrix and the calculation of eigenvectors. This ensures that the allocation of weight coefficients is based on a systematic comparison between parameters, reducing the subjective arbitrariness that might arise from direct assignment based solely on experience. This method can capture the complex relative importance relationships between parameters, resulting in more objective and reasonable weight values. This contributes to improving the accuracy and reliability of the comprehensive environmental comfort score, providing a more solid basis for environmental control decisions.

[0047] S103. Generate vehicle cabin environment control commands based on the comprehensive environmental comfort score.

[0048] In one embodiment, generating vehicle cabin environment control commands based on the comprehensive environmental comfort score includes: If the overall environmental comfort score is lower than the preset score, obtain the data in the target environment data whose values ​​deviate from their respective preset comfort ranges; Vehicle cabin environment control commands are generated based on the target environmental data where the values ​​deviate from their respective preset comfort ranges.

[0049] For example, the aforementioned preset score is a benchmark value used to determine whether the overall environmental comfort score meets the standard; data whose values ​​deviate from their respective preset comfort ranges refer to the data corresponding to parameters in the target environment data whose actual measured values ​​are not within their set comfort ranges.

[0050] In this embodiment, the process of generating vehicle cabin environment control commands based on a comprehensive environmental comfort score begins by comparing the score with a preset score. When the comprehensive environmental comfort score is lower than the preset score, it indicates that the current cabin environment is not generally comfortable. The system then filters out specific parameter data from the target environmental data whose values ​​deviate from their respective preset comfort ranges. For example, if the temperature data is higher than its maximum comfort range or the humidity data is lower than its minimum comfort range, these parameters will be identified as deviation data. The system then generates corresponding control commands based on these identified deviation data. The specificity of the commands stems from the analysis of specific substandard parameters, rather than an independent judgment of a single parameter.

[0051] By employing the aforementioned technical solution, and by generating control commands based on a comprehensive score and focusing on specific deviation parameters, the system can coordinate the actions of multiple environmental control devices from the perspective of overall comfort. This method reduces the possibility of fragmented control commands or regulatory conflicts caused by responding only to changes in individual parameters, ensuring that environmental control measures more comprehensively address the actual root causes of discomfort, and improving the systematic nature of cabin environmental control and the efficiency of overall comfort restoration.

[0052] In one embodiment, generating vehicle cabin environment control commands based on target environmental data whose values ​​deviate from their respective preset comfort ranges includes: If the temperature data is not within its preset comfort range, an air conditioning control command is generated; If the humidity data is not within its preset comfort range, a humidity control command is generated; When the concentration of harmful gases or particulate matter exceeds the preset comfort range, an air purification control command is generated. When the light intensity data is not within its preset comfort range, a light control command is generated; When the noise data exceeds its preset comfort range, a noise reduction control command is generated.

[0053] For example, the aforementioned air conditioning control command is used to adjust the cabin temperature to bring it back to a comfortable range, the humidity control command is used to adjust the cabin humidity, the air purification control command is used to start or adjust the air purification equipment to reduce the concentration of harmful gases or particulate matter, the lighting control command is used to adjust the cabin lighting intensity, and the noise reduction control command is used to reduce the cabin noise level.

[0054] When temperature At that time, the air conditioner will be turned on and adjusted to a suitable temperature. Control commands, air conditioning cooling power The calculation can be based on the heat load formula:

[0055] in, The formula for calculating the cabin heat load is as follows:

[0056] in, For cabin air quality, The specific heat capacity of air, Due to the temperature difference between the inside and outside of the cabin, For solar radiation heat load, For the heat load generated by other heat sources, For air conditioning cooling efficiency, the value range is: ; When temperature At that time, the air conditioner will be turned on for heating and adjusted to a suitable temperature. Control commands, air conditioner heating power The calculation can be based on the heat load formula:

[0057] in, The formula for calculating heat loss within the cabin is as follows:

[0058] in, The heat transfer coefficient of the cabin enclosure structure. The area of ​​the cabin enclosure structure. The value range for air conditioner heating efficiency is [value range missing]. .

[0059] When humidity At that time, a control command is generated to activate the dehumidification function, and the dehumidification capacity is set. .

[0060] in, For cabin volume, This represents the amount of humidity reduction. air density; When humidity At that time, a control command is generated to activate the humidification function, and the humidification amount is set. ;in, This represents the increase in humidity.

[0061] When the air quality does not meet the standards, control commands are generated to turn on the air purifier and select the corresponding purification mode based on the type and concentration of harmful gases and particulate matter. When the light intensity When the light intensity is high, control commands are generated to adjust the sunshade or reduce the brightness of the interior lights; when the light intensity is high... At that time, control commands are generated to turn on or enhance the interior lights; When noise level At that time, a control command is generated to reduce the audio volume or take soundproofing measures, and the amount of audio volume reduction is specified. .

[0062] In this application, vehicle cabin environment control commands are generated based on target environmental data whose values ​​deviate from their respective preset comfort ranges. This is achieved by precisely triggering corresponding equipment actions according to which specific parameters are not met and in what direction. For example, when the temperature data exceeds the maximum value of its preset comfort range, the system generates a command to activate the air conditioning cooling function; when the temperature data is below the minimum value of its preset comfort range, it generates a command to activate the air conditioning heating function. For humidity data, if it is too high, a dehumidification command is generated; if it is too low, a humidification command is generated. When the concentration of harmful gases or particulate matter is detected to be above its preset comfort range, the system generates a command to activate the air purifier and select the corresponding purification mode. For light intensity data, if it is too strong, a command is generated to adjust the sunshade or reduce the brightness of the interior lights; if it is too weak, a command is generated to turn on or increase the interior lights. For noise data, if its level is above the preset comfort range, a command is generated to reduce the audio volume or activate other sound insulation measures.

[0063] By employing the aforementioned technical solution, the system can achieve targeted adjustment of the cabin environment by mapping substandard environmental parameters to precise control commands for specific environmental control equipment. This direct correlation ensures the accuracy and efficiency of environmental control, avoids wasting resources on parameters that do not require adjustment, and enables multiple devices to work collaboratively to address their respective environmental problems. This reduces the possibility of adjustment delays or poor results due to mismatches between control commands and actual problems, thereby improving the accuracy and response speed of cabin environmental control.

[0064] Furthermore, as a response to the above Figure 1 In addition to the implementation of the method shown, this embodiment of the invention also provides a vehicle cabin environment control device for controlling the above-mentioned... Figure 1 The method shown is implemented accordingly. This device embodiment corresponds to the foregoing method embodiment. For ease of reading, this device embodiment will not repeat the details of the foregoing method embodiment, but it should be clear that the device in this embodiment can implement all the contents of the foregoing method embodiment. Figure 2 As shown, the device includes: an acquisition unit 21, a calculation unit 22, and a generation unit 23, wherein... Acquisition unit 21 is used to acquire target environmental data of the vehicle cabin, wherein the target environmental data is based on at least three parameters that affect the comfort of the vehicle cabin environment; The calculation unit 22 is used to calculate a comprehensive environmental comfort score based on the target environmental data, wherein the comprehensive environmental comfort score is used to evaluate the comfort level of the vehicle cabin environment. The generation unit 23 is used to generate vehicle cabin environment control commands based on the comprehensive environmental comfort score.

[0065] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and by adjusting kernel parameters, a vehicle cabin environment control method can be implemented. This solves the problem that traditional automotive cabin environment control can only independently detect and adjust single environmental parameters, lacking coordinated control.

[0066] This invention provides a computer-readable storage medium including a stored program that, when executed by a processor, implements the vehicle cabin environment control method.

[0067] This invention provides a processor for running a program, wherein the program executes the vehicle cabin environment control method during runtime.

[0068] This invention provides an electronic device, which includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the vehicle cabin environment control method described above. This invention provides an electronic device 30, such as... Figure 3 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and bus 303 connected to the processor; wherein, the processor 301 and the memory 302 communicate with each other through the bus 303; the processor 301 is used to call program instructions in the memory to execute the above-mentioned vehicle cabin environment control method.

[0069] The smart electronic devices mentioned in this article can be PCs, tablets, mobile phones, etc.

[0070] This application also provides a computer program product that, when executed on a process management electronic device, is suitable for executing a program that initializes the steps of the above-described vehicle cabin environment control method.

[0071] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0072] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0073] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0074] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform actions such as... Figure 1 The control flow of the memory in the corresponding embodiment.

[0077] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0078] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0079] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0080] 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 units can be selected to achieve the purpose of this embodiment according to actual needs.

[0081] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0082] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it 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 all or 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 of 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.

[0083] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. 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 substitutions can be made to some of the technical features. Such modifications or substitutions 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 controlling the environment of a vehicle cabin, characterized in that, include: Acquire target environmental data of the vehicle cabin, wherein the target environmental data is based on at least three parameters that affect the comfort of the vehicle cabin environment; A comprehensive environmental comfort score is calculated based on the target environmental data, wherein the comprehensive environmental comfort score is used to evaluate the comfort level of the vehicle cabin environment; Vehicle cabin environment control commands are generated based on the comprehensive environmental comfort score.

2. The method according to claim 1, characterized in that, The environmental data includes temperature data, humidity data, harmful gas concentration data, particulate matter concentration data, light intensity data, and noise data. The acquisition of target environmental data for the vehicle cabin includes: Collect raw environmental data of the vehicle cabin; The raw environmental data is cleaned, denoised, and normalized to obtain the target environmental data. The data cleaning process is used to correct outliers and fill in missing values. The data denoising is used to eliminate data noise. The data normalization is used to convert the data into dimensionless numerical values.

3. The method according to claim 1, characterized in that, The calculation of the comprehensive environmental comfort score based on the target environment data includes: Each target environment data point is compared with its respective preset comfort range to obtain the degree to which each target environment data point deviates from its respective preset comfort range; A single comfort score is determined based on the degree to which each of the target environment data deviates from its respective preset comfort range; The comprehensive environmental comfort score is calculated based on the individual comfort score of each target environment data and its corresponding weighting coefficient.

4. The method according to claim 3, characterized in that, The calculation of the comprehensive environmental comfort score based on the individual comfort scores and corresponding weighting coefficients for each of the target environment data includes: The comprehensive environmental comfort score is calculated based on the following formula: in, Weighting coefficients for temperature data, Weighting coefficients for humidity data Weighting coefficients for harmful gas concentration data, Weighting coefficients for particulate matter concentration data, Weighting coefficients for light intensity data These are the weighting coefficients for the noisy data. , This is the comfort function corresponding to each target environment data.

5. The method according to claim 4, characterized in that, Also includes: Construct the judgment matrix: in, Indicates parameters Relative to parameters The importance of , , ; Calculate the largest eigenvalue of the judgment matrix. and the corresponding feature vector ; The feature vector After normalization, the weight values ​​of each target environment data are obtained, wherein the normalization formula is: in, These are the weight values ​​of the original feature vector. The number of data points in the target environment.

6. The method according to claim 1, characterized in that, The generation of vehicle cabin environment control commands based on the comprehensive environmental comfort score includes: If the overall environmental comfort score is lower than the preset score, obtain the data in the target environment data whose values ​​deviate from their respective preset comfort ranges; Vehicle cabin environment control commands are generated based on the target environmental data where the values ​​deviate from their respective preset comfort ranges.

7. The method according to claim 6, characterized in that, The generation of vehicle cabin environment control commands based on target environmental data whose values ​​deviate from their respective preset comfort ranges includes: If the temperature data is not within its preset comfort range, an air conditioning control command is generated; If the humidity data is not within its preset comfort range, a humidity control command is generated; When the concentration of harmful gases or particulate matter exceeds the preset comfort range, an air purification control command is generated. When the light intensity data is not within its preset comfort range, a light control command is generated; When the noise data exceeds its preset comfort range, a noise reduction control command is generated.

8. A vehicle cabin environment control device, characterized in that, Also includes: An acquisition unit is used to acquire target environmental data of the vehicle cabin, wherein the target environmental data is based on at least three parameters that affect the comfort of the vehicle cabin environment; A calculation unit is used to calculate a comprehensive environmental comfort score based on the target environmental data, wherein the comprehensive environmental comfort score is used to evaluate the comfort level of the vehicle cabin environment. The generation unit is used to generate vehicle cabin environment control commands based on the comprehensive environmental comfort score.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed by a processor, it implements the steps of the vehicle cabin environment control method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is configured to invoke program instructions in the memory to execute the steps of the vehicle cabin environment control method as described in any one of claims 1 to 7.

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