Self-adaptive adjustment method, vehicle-mounted system, vehicle and storage medium

Abstract

The invention provides a self-adaptive adjustment method, a vehicle-mounted system, a vehicle and a storage medium, and relates to the atmosphere lamp control technology, and the method comprises the steps that an information obtaining module obtains weather data of the environment where a target vehicle is located, and sends the weather data to a main control module; the main control module maps the weather data into a target adjustment state through a preset state mapping model; generating a state adjusting instruction according to the target adjusting state, and sending the state adjusting instruction to an execution module; and the execution module adjusts the light parameter and the audio parameter according to the state adjustment instruction, so that the in-vehicle state enters the target adjustment state. According to the method, the atmosphere lamp and the music in the vehicle are adaptively adjusted according to the current environment factor, personalized and collaborative sensory experience matched with the current environment factor is provided for a driver and passengers, and the driving experience feeling is improved.

Description

Technical Field

[0001] This application relates to the field of ambient lighting control technology, and more specifically, to an adaptive adjustment method, an in-vehicle system, a vehicle, and a storage medium. Background Technology

[0002] Intelligent electric vehicles are generally equipped with multi-color ambient lighting and music playback systems. In the current technology, the adjustment of ambient lighting and music in intelligent vehicles mostly rely on manual operation by the user, lacking intelligent linkage capabilities and unable to adaptively adjust according to current environmental factors. Summary of the Invention

[0003] In view of the above, the purpose of this application is to overcome the shortcomings of the prior art and provide an adaptive adjustment method, an in-vehicle system, a vehicle, and a storage medium. This application provides the following technical solution: In a first aspect, this application provides an adaptive adjustment method applied to an in-vehicle system, the in-vehicle system comprising: an information acquisition module, a main control module, and an execution module, the method comprising: The information acquisition module acquires weather data of the environment where the target vehicle is located and sends the weather data to the main control module; The main control module maps the weather data to a target adjustment state through a preset state mapping model; Based on the target adjustment state, a state adjustment instruction is generated and sent to the execution module; The execution module adjusts the lighting and audio parameters according to the state adjustment command so that the in-vehicle state enters the target adjustment state.

[0004] In one embodiment, the information acquisition module includes: an in-vehicle internet unit and an in-vehicle sensing unit; the weather data includes: global weather data and local weather data; the information acquisition module acquires weather data of the environment in which the target vehicle is located, including: The vehicle-mounted Internet unit sends a data acquisition request to the cloud-based weather service platform and receives the global weather data returned by the cloud-based weather service platform. The global weather data includes weather conditions, temperature, and humidity. The local weather data of the target vehicle is collected by the vehicle-mounted sensing unit, and the local weather data also includes: light intensity and rainfall.

[0005] In one embodiment, the main control module maps the weather data to a target adjustment state through a preset state mapping model, including: The weather conditions, temperature, humidity, light intensity, and rainfall are input into the preset state mapping model. The preset state mapping model contains a preset multidimensional lookup table, which defines the correspondence rules between different weather conditions, temperatures, humidity, light intensities, and rainfall and the adjustment states. The preset state model is used to retrieve at least one adjustment state from the preset multidimensional lookup table based on the weather conditions, temperature, humidity, light intensity, and rainfall. The adjustment states are sorted according to a preset priority, and the adjustment state with the highest priority is determined as the target adjustment state.

[0006] In one embodiment, the state adjustment command includes a light adjustment command. Generating the state adjustment command based on the target adjustment state includes: determining target light parameters based on the target adjustment state, the target light parameters including color temperature, brightness, and change frequency; and generating the light adjustment command based on the target light parameters.

[0007] In one embodiment, the execution module includes a lighting control unit, which adjusts lighting parameters according to the state adjustment command, including: the lighting control unit adjusting the lighting parameters to the target lighting parameters according to the state adjustment command.

[0008] In one embodiment, the state adjustment instruction further includes an audio adjustment instruction. Generating the state adjustment instruction based on the target adjustment state further includes: determining audio features and target audio parameters based on the target adjustment state; the audio features include audio style, emotion tag, and rhythm range; the target audio parameters include sound effects and volume; determining target audio content from the in-vehicle music library based on the audio style, emotion tag, and rhythm range; and generating the audio adjustment instruction based on the identification information corresponding to the target audio content, the sound effects, and the volume.

[0009] In one embodiment, the execution module further includes an audio playback unit, wherein the execution module adjusts the audio parameters according to the state adjustment instruction, including: the audio playback unit calls the target audio content from the in-vehicle music library according to the audio adjustment instruction, adjusts the audio parameters to the target audio parameters, and then plays the target audio content.

[0010] Secondly, this application provides an in-vehicle system, the system comprising: an information acquisition module, a main control module, and an execution module; The information acquisition module is used to acquire weather data of the environment where the target vehicle is located and send the weather data to the main control module; The main control module is used to map the weather data into a target adjustment state through a preset state mapping model; generate a state adjustment instruction based on the target adjustment state, and send the state adjustment instruction to the execution module. The execution module is used to adjust the lighting parameters and audio parameters according to the state adjustment command, so that the in-vehicle state enters the target adjustment state.

[0011] Thirdly, this application provides a vehicle, a vehicle body, and the vehicle-mounted system described in the second aspect.

[0012] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, represents the adaptive adjustment method described in the first aspect.

[0013] The adaptive adjustment method, vehicle system, vehicle, and storage medium provided in this application acquire weather data of the target vehicle's environment through the information acquisition module and send the weather data to the main control module. The main control module maps the weather data to a target adjustment state through a preset state mapping model. Based on the target adjustment state, a state adjustment command is generated and sent to the execution module. The execution module adjusts the lighting and audio parameters according to the state adjustment command to bring the in-vehicle state into the target adjustment state. This achieves adaptive adjustment of the in-vehicle ambient lighting and music based on current environmental factors, providing drivers and passengers with a personalized and coordinated sensory experience adapted to the current environmental factors and enhancing the driving experience.

[0014] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart of the adaptive adjustment method provided in an embodiment of this application is shown; Figure 2 A schematic diagram of the structure of the vehicle system provided in an embodiment of this application is shown; Figure 3 A structural schematic diagram of a vehicle provided in an embodiment of this application is shown.

[0017] Explanation of key component symbols: 200 - Vehicle system; 210 - Information acquisition module; 220 - Main control module; 230 - Execution module; 300 - Vehicle; 310 - Vehicle body. Detailed Implementation

[0018] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0019] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the template description is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0021] Example 1 Please see Figure 1 This application provides an adaptive adjustment method, applicable to, for example... Figure 2 The vehicle system 200 shown includes: an information acquisition module 210, a main control module 220 and an execution module 230. The method includes: steps S110 to S140.

[0022] In step S110, the information acquisition module 210 acquires the weather data of the environment where the target vehicle 300 is located and sends the weather data to the main control module 220.

[0023] In this embodiment, the information acquisition module 210 collects weather data through dual-channel collaborative acquisition. On the one hand, it establishes communication with the cloud weather service platform through the vehicle-mounted Internet unit, such as 4G or 5G, and sends a data acquisition request containing the current location information of the target vehicle, and receives the global weather data returned by the platform. On the other hand, it collects local weather data of a small area around the target vehicle through the vehicle-mounted sensor unit, and sends the global weather data and local weather data together to the main control module 220.

[0024] In one embodiment, the information acquisition module 210 includes an in-vehicle internet unit and an in-vehicle sensing unit. The weather data includes global weather data and local weather data. The information acquisition module 210 acquires weather data of the environment where the target vehicle is located, including: sending a data acquisition request to a cloud-based weather service platform through the in-vehicle internet unit and receiving the global weather data returned by the cloud-based weather service platform. The global weather data includes weather conditions, temperature, and humidity. The local weather data of the target vehicle is collected through the in-vehicle sensing unit. The local weather data also includes light intensity and rainfall.

[0025] In this embodiment, the global weather data includes weather conditions that reflect the overall weather situation of the region, such as sunny, rainy, snowy, foggy, etc., and also includes data such as the average temperature and average humidity of the region, which has macroscopic and holistic characteristics. The local weather data is collected by sensors deployed on the body of the target vehicle. The sensor acquisition unit includes a photosensitive sensor and a rain sensor. The photosensitive sensor is used to detect the real-time light intensity around the target vehicle, and the rain sensor is used to detect the instantaneous rainfall around the target vehicle, thus obtaining local weather data for a small area around the target vehicle, which has microscopic and timely characteristics.

[0026] It is understandable that global weather data provides the overall weather trend, while local data captures real-time environmental changes. The fusion of the two avoids the regional errors that exist in single global weather data and makes up for the limited coverage of single local weather data.

[0027] In step S120, the main control module 220 maps the weather data to a target adjustment state through a preset state mapping model.

[0028] In this embodiment, the preset state mapping model has a built-in preset multidimensional lookup table, which predefines the correspondence rules between multidimensional parameter combinations and adjustment states. The main control module 220 matches at least one adjustment state corresponding to the weather data based on the preset multidimensional lookup table, sorts them according to preset priority, and finally determines the adjustment state with the highest priority as the target adjustment state.

[0029] In one embodiment, the main control module 220 maps the weather data to a target adjustment state through a preset state mapping model, including: inputting the weather state, temperature, humidity, light intensity, and rainfall into the preset state mapping model, which pre-stores a preset multidimensional lookup table. The preset multidimensional lookup table defines the correspondence rules between different weather states, temperatures, humidity, light intensities, and rainfall and adjustment states. The preset state model is used to retrieve at least one adjustment state from the preset multidimensional lookup table based on the weather state, temperature, humidity, light intensity, and rainfall; sorting the adjustment states according to preset priorities, and determining the adjustment state with the highest priority as the target adjustment state.

[0030] In this embodiment, the main control module 220 extracts core parameters from the weather data: weather status (sunny, rainy, snowy, foggy, etc.), temperature, humidity, light intensity, and rainfall. These five types of parameters are input into a preset state mapping model. The core of the preset state mapping model is a pre-stored preset multi-dimensional lookup table. The table predefines precise correspondence rules between multi-dimensional parameter combinations and adjustment states. For example, "weather status = rain, temperature = 18℃, humidity = 75%, light intensity = weak, rainfall = moderate" corresponds to two adjustment states: "warm" and "soothing". "weather status = sunny, temperature = 28℃, humidity = 50%, light intensity = strong, rainfall = none" corresponds to two adjustment states: "bright" and "excited". The main control module 220 matches at least one adjustment state corresponding to the current input parameter combination according to the preset multi-dimensional lookup table. Finally, the main control module 220 sorts the matched adjustment states according to preset priority and determines the adjustment state with the highest priority as the target adjustment state. It should be noted that the priority is set according to the weight of the impact of different weather parameters on driving mood. For example, in rainy weather, the "relaxed" adjustment state has a higher priority than others.

[0031] Understandably, by using multi-dimensional parameter linkage and matching, deviations in the adjustment state caused by a single weather factor, such as only looking at temperature and ignoring rainfall, are avoided. This ensures that the adjustment state is highly adapted to the actual weather scenario, providing a clear basis for accurately generating ambient lighting and music adjustment commands. Ultimately, this ensures that drivers and passengers have an in-car sensory experience that is adapted to the current weather, alleviating negative emotions such as depression and drowsiness that may be caused by bad weather, and indirectly improving driving safety and comfort.

[0032] Step S130: Based on the target adjustment state, generate a state adjustment instruction and send the state adjustment instruction to the execution module 230.

[0033] In this embodiment, the main control module 220 generates executable state adjustment instructions based on the target adjustment state, such as warm, bright, or soothing, and transmits them to the execution module 230. Specifically, the main control module 220 parses the sensory requirements corresponding to the target adjustment state, such as warm color tone and low to medium brightness visual requirements, and bright color tone and high brightness visual requirements, as well as matching audio style requirements. It transforms the abstract adjustment state into specific, multi-dimensional control parameters, including color temperature, brightness, and frequency of change in the lighting dimension, and style, rhythm, and volume in the audio dimension. Subsequently, the main control module 220 encapsulates these parameters into structured state adjustment instructions according to a preset instruction format, and finally sends the instructions to the execution module 230 through the vehicle internal communication bus, such as the CAN bus or Ethernet.

[0034] By transforming abstract states into concrete parameters, the adjustment deviation caused by ambiguous instructions in the execution module 230 is avoided, ensuring that the adjustment actions are accurately implemented.

[0035] In one embodiment, the state adjustment command includes a light adjustment command. Generating the state adjustment command based on the target adjustment state includes: determining target light parameters based on the target adjustment state, the target light parameters including color temperature, brightness, and change frequency; and generating the light adjustment command based on the target light parameters.

[0036] In this embodiment, the main control module 220 calls a pre-stored target adjustment state-light parameter mapping table. For example, when the target adjustment state is "warm," the mapping table defines a color temperature range of 2700K-3000K (warm yellow), a brightness of 50%-60%, and a change frequency of 0.5Hz-1Hz (slow breathing effect); when the target adjustment state is "bright," the mapping table defines a color temperature range of 5000K-6500K (cool white), a brightness of 80%-90%, and a change frequency of 2Hz-3Hz (slight flickering effect). Based on the current target adjustment state, the main control module 220 matches and determines the specific target light parameters from the table, including the specific color temperature value, brightness percentage, and change frequency value. Subsequently, the main control module 220 encapsulates these parameters in a format recognizable by the execution module 230, such as binary instructions containing parameter type, parameter value, and checksum, to generate a unique corresponding light adjustment instruction. This avoids parameter deviations caused by subjective judgment and ensures that the light adjustment is highly consistent with the target adjustment state.

[0037] In one embodiment, the state adjustment instruction further includes an audio adjustment instruction. Generating the state adjustment instruction based on the target adjustment state further includes: determining audio features and target audio parameters based on the target adjustment state; the audio features include audio style, emotion tag, and rhythm range; the target audio parameters include sound effects and volume; determining target audio content from the in-vehicle music library based on the audio style, emotion tag, and rhythm range; and generating the audio adjustment instruction based on the identification information corresponding to the target audio content, the sound effects, and the volume.

[0038] In this embodiment, the main control module 220 calls the pre-stored target adjustment state-audio parameter mapping rules. For example, when the target adjustment state is "soothing", the mapping rule defines the audio style as light music or natural white noise, the emotional label as calm or relaxed, the tempo range as 70-100 BPM, and the target audio parameters as: sound effect mode = surround sound, volume = 50%-60%; when the target adjustment state is "excited", the mapping rule defines the audio style as pop music or electronic music, the emotional label as happy or energetic, the tempo range as 120-150 BPM, and the target audio parameters as: sound effect mode = rock, volume = 65%-75%. The corresponding audio features and target audio parameters are determined according to the current target adjustment state.

[0039] The main control module 220 establishes communication with the in-vehicle music library to obtain metadata for all audio content in the library, including style tags, emotional labels, and tempo values ​​for each audio track. It compares and filters preset audio features against the metadata; for example, it filters audio tracks with style = light music, emotional label = relaxing, and tempo = 85 BPM, identifying them as target audio content and extracting their unique identifier, such as the song ID. The main control module 220 encapsulates the target audio content's identifier and parameters according to a preset format, generating structured audio adjustment instructions to ensure accurate parsing by the execution module 230.

[0040] By using the mapping rules between target adjustment state and audio parameters, we ensure that the audio adjustment is highly consistent with the emotional needs of weather adaptation, allowing the in-car audio to work in conjunction with ambient lighting to create a sensory experience that is appropriate for the weather.

[0041] In step S140, the execution module 230 adjusts the lighting parameters and audio parameters according to the state adjustment command so that the in-vehicle state enters the target adjustment state.

[0042] In this embodiment, the execution module 230 includes a lighting control unit and an audio playback unit, both of which synchronously receive status adjustment commands (including lighting adjustment commands and audio adjustment commands) sent by the main control module 220. The lighting control unit first parses the lighting adjustment commands, extracts target lighting parameters such as color temperature, brightness, and frequency of change, and controls the in-vehicle LED ambient lights through a PWM drive circuit: for example, if the target parameters are "color temperature 2800K, brightness 50%, frequency of change 1Hz", the color wheel is adjusted to 2800K (warm yellow), the brightness is stabilized at 50% by adjusting the PWM duty cycle, and the lights are controlled with a 1Hz timing signal to achieve a slow breathing effect. At the same time, the audio playback unit parses the audio adjustment commands, extracts target audio content identification information, sound effects, volume, and other parameters, first calls the corresponding audio file from the in-vehicle music library based on the identification information and caches it locally, then switches to the target sound effect mode (such as surround sound) through the sound effect chip, gradually adjusts the volume to the target value (such as 60%) through the power amplifier, and finally drives the speaker to play the audio. Throughout the process, the execution module 230 will collect the current parameters of the lights and audio in real time, compare and calibrate them with the target parameters to ensure adjustment accuracy.

[0043] In one embodiment, the execution module 230 includes a lighting control unit, which adjusts lighting parameters according to the state adjustment command, including adjusting the lighting parameters to the target lighting parameters according to the state adjustment command.

[0044] In this embodiment, the lighting control unit receives the lighting adjustment command sent by the main control module 220 through the vehicle's internal communication interface. It then parses the command, extracting target lighting parameters such as color temperature, brightness, and frequency of change, as well as parameter verification information, to ensure the command has not been tampered with or damaged. Next, the lighting control unit compares the parsed target parameters with the real-time parameters of the ambient light, such as a current color temperature of 3500K, brightness of 40%, and frequency of change of 0Hz, to determine the parameter adjustment difference. For example, it may be necessary to reduce the color temperature from 3500K to 2800K, increase the brightness from 40% to 55%, and increase the frequency of change from 0Hz to 1Hz. Finally, the lighting control unit drives the driving circuit of the vehicle's LED ambient light through a pulse width modulation (PWM) signal or a CAN control signal, gradually adjusting the lighting parameters to the target values. For example, it controls the brightness by adjusting the PWM duty cycle, controls the color temperature by switching the color wheel, and controls the frequency of change through timing signals. After the adjustment is completed, it feeds back the adjustment result to the main control module 220.

[0045] In one embodiment, the execution module 230 further includes an audio playback unit, wherein the execution module 230 adjusts the audio parameters according to the state adjustment instruction, including: the audio playback unit calls the target audio content from the vehicle music library according to the audio adjustment instruction, adjusts the audio parameters to the target audio parameters, and then plays the target audio content.

[0046] In this embodiment, the audio playback unit receives audio adjustment commands sent by the main control module 220 via the vehicle's internal communication bus, such as Ethernet. It parses the commands, extracts the target audio content identification information and target audio parameters, and uses a verification algorithm, such as CRC, to check the integrity of the commands, preventing execution errors due to command corruption. Next, the audio playback unit sends a call request to the vehicle's music library based on the identification information. The music library locates the corresponding audio file based on the identification information, such as finding the corresponding audio data stream based on the song ID, and transmits the audio file to the audio playback unit's buffer. Subsequently, the audio playback unit activates the parameter adjustment module. Based on the parsed target audio parameters, it adjusts the operating mode of the sound effect chip through hardware drive circuitry, such as switching the sound effect chip to surround sound or rock mode. Simultaneously, it controls the audio power amplifier through PWM signals, gradually adjusting the volume from the current value, such as 30%, to the target value, such as 55%, avoiding sudden volume changes that could cause discomfort. Finally, after confirming that the audio file buffer is complete and the parameters are adjusted correctly, the audio playback unit starts the playback program, outputting an audio signal to the vehicle's speakers to play the target audio content. During playback, it monitors the parameter status in real time to ensure that the sound effect and volume are stably maintained at the target values.

[0047] The method further includes: obtaining user preference settings, and adjusting the preset state mapping model and music recommendation algorithm according to the user preference settings.

[0048] In this embodiment, user preference settings are obtained in the following ways: First, active collection, i.e., receiving manually input selection commands from the user through a preference selection interface popped up on the vehicle's central control screen; second, passive recording, i.e., after the user adaptively adjusts the vehicle's interior status, if the user manually modifies the lighting parameters, such as changing warm yellow to dark blue or changing the music, such as changing light music to jazz, the execution module 230 will record these operations, such as the modified items, parameters before and after modification, and corresponding weather scenarios, and upload them to the main control module 220. Next, the main control module 220 analyzes the user preference data: it statistically analyzes the user's frequently modified items under the same weather scenario, such as 80% of users changing the lights to dark blue on rainy days, and uses machine learning algorithms, such as collaborative filtering algorithms, to mine user preference patterns, such as the user's preference for the combination of rainy days, dark blue lights, and jazz music. Finally, based on the analysis results, the preset state mapping model is adjusted. For example, the warm yellow light originally mapped in the rainy scene is adjusted to dark blue light. At the same time, the music recommendation algorithm is optimized. For example, in the rainy scene, the jazz music library is recommended first instead of the original light music library. The adjusted model and algorithm are stored for the generation of adjustment instructions in subsequent weather scenes.

[0049] The adaptive adjustment method provided in this application embodiment acquires weather data of the target vehicle's environment through the information acquisition module 210 and sends the weather data to the main control module 220. The main control module 220 maps the weather data to a target adjustment state through a preset state mapping model. Based on the target adjustment state, a state adjustment command is generated and sent to the execution module 230. The execution module 230 adjusts the lighting and audio parameters according to the state adjustment command so that the in-vehicle state enters the target adjustment state. This achieves adaptive adjustment of the in-vehicle ambient lighting and music based on current environmental factors, providing drivers and passengers with a personalized and coordinated sensory experience adapted to the current environmental factors and enhancing the driving experience.

[0050] Example 2 In addition, please see Figure 2 This application provides an in-vehicle system 200, including: an information acquisition module 210, a main control module 220, and an execution module 230; The information acquisition module 210 is used to acquire weather data of the environment where the target vehicle is located and send the weather data to the main control module 220; The main control module 220 is used to map the weather data into a target adjustment state through a preset state mapping model; generate a state adjustment instruction based on the target adjustment state, and send the state adjustment instruction to the execution module 230. The execution module 230 is used to adjust the lighting parameters and audio parameters according to the state adjustment command, so that the in-vehicle state enters the target adjustment state.

[0051] The vehicle system 200 provided in this application embodiment can execute the adaptive adjustment method provided in the above method embodiment 1. To avoid repetition, it will not be described again here.

[0052] Example 3 In addition, please see Figure 3 This application also provides a vehicle 300, including: a vehicle body 310 and the vehicle system 200 described in embodiment 2, wherein the vehicle body 310 is provided with the vehicle system 200.

[0053] The vehicle 300 provided in this application embodiment can realize the functions of the vehicle system 200 provided in the above embodiment 2. To avoid repetition, it will not be described again here.

[0054] Example 4 Furthermore, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the adaptive adjustment method provided in Embodiment 1.

[0055] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0056] The computer-readable storage medium provided in this embodiment can implement the adaptive adjustment method provided in Embodiment 1. To avoid repetition, it will not be described again here.

[0057] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limitations; therefore, other examples of exemplary embodiments may have different values.

[0058] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0059] The above-described embodiments are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. An adaptive adjustment method, characterized in that, Applied to an in-vehicle system, the in-vehicle system includes: an information acquisition module, a main control module, and an execution module; the method includes: The information acquisition module acquires weather data of the environment where the target vehicle is located and sends the weather data to the main control module; The main control module maps the weather data to a target adjustment state through a preset state mapping model; Based on the target adjustment state, a state adjustment instruction is generated and sent to the execution module; The execution module adjusts the lighting and audio parameters according to the state adjustment command so that the in-vehicle state enters the target adjustment state.

2. The adaptive adjustment method according to claim 1, characterized in that, The information acquisition module includes: an in-vehicle internet unit and an in-vehicle sensing unit; the weather data includes: global weather data and local weather data; the information acquisition module acquires weather data of the target vehicle's environment, including: The vehicle-mounted Internet unit sends a data acquisition request to the cloud-based weather service platform and receives the global weather data returned by the cloud-based weather service platform. The global weather data includes weather conditions, temperature, and humidity. The local weather data of the target vehicle is collected by the vehicle-mounted sensing unit, and the local weather data also includes: light intensity and rainfall.

3. The adaptive adjustment method according to claim 2, characterized in that, The main control module maps the weather data to a target adjustment state through a preset state mapping model, including: The weather conditions, temperature, humidity, light intensity, and rainfall are input into the preset state mapping model. The preset state mapping model contains a preset multidimensional lookup table, which defines the correspondence rules between different weather conditions, temperatures, humidity, light intensities, and rainfall and the adjustment states. The preset state model is used to retrieve at least one adjustment state from the preset multidimensional lookup table based on the weather conditions, temperature, humidity, light intensity, and rainfall. The adjustment states are sorted according to a preset priority, and the adjustment state with the highest priority is determined as the target adjustment state.

4. The adaptive adjustment method according to claim 1, characterized in that, The state adjustment command includes: a light adjustment command, wherein generating the state adjustment command according to the target adjustment state includes: Based on the target adjustment state, the target light parameters are determined, including color temperature, brightness, and change frequency. The lighting adjustment command is generated based on the target lighting parameters.

5. The adaptive adjustment method according to claim 4, characterized in that, The execution module includes a lighting control unit, which adjusts lighting parameters according to the state adjustment command, including: The lighting control unit adjusts the lighting parameters to the target lighting parameters according to the status adjustment command.

6. The adaptive adjustment method according to claim 5, characterized in that, The state adjustment instruction further includes: an audio adjustment instruction; generating the state adjustment instruction based on the target adjustment state further includes: Based on the target adjustment state, audio features and target audio parameters are determined. The audio features include: audio style, emotional label, and rhythm range. The target audio parameters include: sound effects and volume. Based on the audio style, the emotional tag, and the rhythm range, the target audio content is determined from the in-vehicle music library, and the audio adjustment command is generated based on the identification information corresponding to the target audio content, the sound effect, and the volume.

7. The adaptive adjustment method according to claim 6, characterized in that, The execution module further includes: an audio playback unit, wherein the execution module adjusts audio parameters according to the state adjustment instruction, including: The audio playback unit retrieves the target audio content from the in-vehicle music library according to the audio adjustment command, adjusts the audio parameters to the target audio parameters, and then plays the target audio content.

8. A vehicle-mounted system, characterized in that, The system includes: an information acquisition module, a main control module, and an execution module; The information acquisition module is used to acquire weather data of the environment where the target vehicle is located and send the weather data to the main control module; The main control module is used to map the weather data into a target adjustment state through a preset state mapping model; generate a state adjustment instruction based on the target adjustment state, and send the state adjustment instruction to the execution module. The execution module is used to adjust the lighting parameters and audio parameters according to the state adjustment command, so that the in-vehicle state enters the target adjustment state.

9. A vehicle, characterized in that, The vehicle body and the vehicle-mounted system as described in claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the adaptive adjustment method according to any one of claims 1-7.

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