Intelligent lighting effect adjusting method, system and equipment for LED motorcycle lamp and medium

Abstract

The invention discloses an intelligent lighting effect adjusting method, system and device for an LED motorcycle lamp and a medium, and relates to the technical field of lamp control. The method comprises the steps that overall lighting parameter information is determined according to obtained lighting condition information and lighting selection information; vehicle driving state data are obtained, light emitting parameters are determined according to the driving state data and the overall lighting parameter information, and the LED motorcycle lamps are installed at different parts of a motorcycle; generating a light control instruction according to the light emitting parameters and the overall lighting information; acquiring actual illumination monitoring data of each lamp, and comparing the actual illumination monitoring data with a preset ideal illumination model to obtain an illumination difference value; based on the illumination difference value and a preset illumination change threshold value, whether an illumination optimization instruction is generated or not is judged; according to the illumination optimization instruction, obtaining corresponding illumination adjustment parameter information, and adjusting light emitting parameters of each LED lamp; the stability and reliability of the LED motorcycle lamp system are improved.

Description

Technical Field

[0001] The present application relates to the field of lamp control technology, and in particular to a method, system, device and medium for intelligent light effect adjustment of LED motorcycle lamps. Background Art

[0002] At present, LED lamps are widely used in motorcycle lighting systems due to their good performance of high efficiency and long life.

[0003] The existing LED motorcycle lighting system has some obvious limitations. First, after long-term use, the LED light source may experience luminance drift, affecting the lighting effect of the lamp. The cheapest solution for wide range is usually manual calibration, which is inefficient. Second, the stability and reliability of the existing LED motorcycle lighting system are poor. When encountering complex weather conditions or sudden changes in lighting conditions, the lamp may not be able to make the best response in time, and cannot provide the driver with appropriate visual information in different environments and driving conditions to ensure driving safety. There is room for improvement. Summary of the invention

[0004] In order to improve the stability and reliability of an LED motorcycle lamp system, the present application provides an LED motorcycle lamp intelligent light effect adjustment method, system, device and medium.

[0005] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions: The intelligent light effect adjustment method of LED motorcycle lamps includes: Acquire ambient light data, and obtain lighting condition information according to the ambient light data; Acquire the user's lighting selection information, and determine the overall lighting parameter information according to the lighting condition information and the lighting selection information; Acquire vehicle driving state data, and determine light emitting parameters according to the driving state data and the overall lighting parameter information, wherein the LED motorcycle lamps are installed at different parts of the motorcycle; generating a lighting control instruction according to the lighting parameters and the overall lighting information; Acquire actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with a preset ideal illumination model, and obtain an illumination difference value; based on the illumination difference value and a preset illumination change threshold, determine whether to generate an illumination optimization instruction; According to the lighting optimization instruction, corresponding lighting adjustment parameter information is obtained, and the light-emitting parameters of each LED lamp are adjusted.

[0006] By adopting the above technical scheme, a smart light effect adjustment method with real-time light effect detection and closed-loop feedback control is provided. The light-emitting parameters of LEDs and the like are dynamically adjusted by the ambient light data obtained in real time, so as to improve the adaptability of motorcycle lamps to complex driving environments, and also improve the driving safety of the owner at night or in bad weather conditions. The light-emitting parameters of LED lamps are automatically adjusted based on the actual driving state and lighting conditions, so that the motorcycle lamps can optimize the energy utilization efficiency on the basis of improving sufficient lighting, which is beneficial to prolonging the service life of LED lamps and slowing down the aging process of LEDs. By comparing the range of the light difference value with the light change threshold value, the situation that the light parameters of motorcycle lamps are frequently changed due to slight changes in environmental conditions is reduced, which is beneficial to improving the user experience, and can also reduce the use loss of LED motorcycle lamps caused by frequent parameter switching, and effectively avoid unnecessary frequent operations. The light difference value of the present invention is obtained by comparative analysis in combination with a preset ideal lighting model, and can accurately judge whether the light source of the LED motorcycle lamp has experienced photometric drift in long-term use, and timely feedback and adjustment are made, so as to realize automatic and intelligent adjustment of the light-emitting parameters of the LED lamps. This process includes not only precise configuration during initial setup, but also continuous optimization based on actual conditions during long-term use. The complete closed-loop control system from environmental perception, user interaction to actuator feedback ensures accurate information transmission at each stage, thus improving the stability and reliability of the entire LED motorcycle lighting system.

[0007] In a preferred example of the present application, the step of obtaining the user's lighting selection information and determining the overall lighting parameter information according to the lighting condition information and the lighting selection information specifically includes: Extracting a lighting mode from the lighting selection information, and using the lighting mode as the overall lighting style; According to the lighting mode, obtaining default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters; The overall lighting style, default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters are associated to determine the overall lighting parameter information.

[0008] By adopting the above technical solution, a variety of lighting modes are provided to users, and the intelligent light effect adjustment system can identify the user's lighting selection information and extract the lighting mode, for example, select the "night vision enhancement mode" when driving at night, and select the "rain and fog penetration mode" under severe weather conditions; the present invention will also combine the overall lighting style with the default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters to ensure that each lighting mode has corresponding fine adjustment options, which not only simplifies the user's operation process, but also enables the system to automatically optimize the lighting settings in complex environments, improve the intelligence level, and can also adjust the brightness and color temperature in real time based on different lighting modes to adapt to changes in the surrounding environment and improve driving safety.

[0009] In a preferred example of the present application: the default lighting preset parameters include a reference brightness value and a reference color temperature curve, the lighting enhancement parameters include an enhanced brightness gain adjustment and an enhanced color temperature adjustment, and the lighting attenuation parameters include an attenuated brightness adjustment and an attenuated color temperature adjustment; The acquiring of default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters according to the lighting mode specifically includes: According to the lighting mode, the reference brightness value, the reference color temperature curve, the enhanced brightness gain adjustment, the enhanced color temperature adjustment, the attenuated brightness adjustment, and the attenuated color temperature adjustment are acquired.

[0010] By adopting the above technical solution, a benchmark brightness value and a benchmark color temperature curve are defined for each lighting mode, which ensures the basic lighting quality while providing a reference standard for subsequent enhancement and attenuation. The present application also introduces enhanced brightness gain adjustment and enhanced color temperature adjustment, allowing the system to increase the brightness or change the color temperature of a specific area when necessary to cope with special conditions (such as driving in a tunnel or meeting a vehicle at night); conversely, when high-intensity lighting is not required, unnecessary light pollution and energy consumption can be reduced by attenuating the brightness adjustment and attenuating the color temperature adjustment.

[0011] In a preferred example of the present application, the luminous parameters include a partition brightness gain and a partition color temperature response curve, and the obtaining of vehicle driving state data and determining the luminous parameters according to the driving state data and the overall lighting parameter information specifically include: According to the default lighting preset parameters and the driving state data, acquiring the partition brightness gain and the partition color temperature response curve; According to the lighting enhancement parameter, the lighting attenuation parameter and the driving status data, the partition brightness gain and the partition color temperature response curve are respectively enhanced and attenuated.

[0012] By adopting the above technical solution and defining the brightness gain and color temperature response curve of each area, the system can make fine adjustments for LED lamps in different positions. For example, the headlights may require higher brightness and different color temperatures to provide a longer lighting distance, while the taillights focus on warning effects; combined with the vehicle's driving status (such as speed, turn signals, braking action, etc.), the system can adjust the luminous parameters of each partition in real time to ensure the most suitable lighting in different driving scenarios; for example, increase the brightness to improve visibility when driving at high speeds, and adjust the illumination angle when turning or slowing down to improve local vision; this application is based on the default lighting preset parameters, the system will automatically load the basic settings, and apply the lighting enhancement or attenuation parameters according to actual needs, that is, it can be flexibly adjusted under different conditions, which not only ensures the basic lighting quality, but also can respond quickly in special circumstances and optimize the user experience.

[0013] In a preferred example of the present application, the corresponding lighting adjustment parameter information is obtained according to the lighting optimization instruction, and the light emission parameters of each LED lamp are adjusted, specifically including: According to the lighting optimization instruction, obtaining lighting optimization adjustment information; Obtain optimization completion information, and generate a light detection instruction according to the optimization completion information; Obtaining illumination detection result information, and obtaining current illumination state information according to the illumination detection result information and in combination with the illumination optimization adjustment information, wherein the illumination detection result information refers to actual illumination monitoring data of each partition lamp; Acquire lighting adjustment parameter information according to the current lighting state information and the overall lighting parameter information; According to the lighting adjustment parameter information, the light emission parameters of each LED lamp are adjusted.

[0014] By adopting the above technical solution, when the lighting detection results show that the current lighting effect does not meet expectations, the system will generate a lighting optimization instruction and start a closed-loop feedback process, so that each adjustment is based on actual monitoring data, thereby improving the stability and reliability of the system. According to the current lighting status information and overall lighting parameter information, the system calculates accurate lighting adjustment parameter information to ensure that each adjustment can achieve the best effect; in addition, by comparing the lighting detection result information with the ideal model, the system can gradually optimize its algorithm to further improve the adjustment accuracy.

[0015] In a preferred example of the present application: the method further includes: According to the lighting adjustment parameter information, obtaining subarea lighting adjustment information, wherein the subarea lighting adjustment information includes a subarea brightness gain adjustment value and a subarea color temperature adjustment curve; Compare the partition brightness gain adjustment value with a preset brightness gain adjustment threshold, and if the partition brightness gain adjustment value is less than the brightness gain adjustment threshold, adjust the corresponding light-emitting parameters of each LED lamp according to the partition lighting adjustment information; If the partition brightness gain adjustment value is greater than the brightness gain adjustment threshold, the lighting parameter secondary adjustment instruction is triggered, and secondary lighting adjustment parameter information is obtained according to the lighting parameter secondary adjustment instruction. According to the secondary lighting adjustment parameter information, the luminous parameters of each LED lamp are adjusted.

[0016] By adopting the above technical solution, the brightness value after the partition gain adjustment is compared with the preset brightness gain adjustment threshold, and it can be quickly determined whether the current adjustment is within a reasonable range. If the partition brightness gain adjustment value is less than the threshold, the system can directly apply the partition lighting adjustment information to adjust the luminous parameters to ensure rapid response to environmental changes and prevent adverse effects caused by excessive single adjustment, such as too bright or too dark problems. Through the closed-loop feedback detection mechanism of the secondary adjustment, the luminous parameters can be optimized at a finer level to ensure that the final effect is both in line with expectations and does not cause visual discomfort or safety hazards.

[0017] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions: The LED motorcycle lamp intelligent light effect adjustment system is applied to the LED motorcycle lamp intelligent light effect adjustment method as described above, and the system includes: An ambient light detection module is used to obtain ambient light data and obtain lighting condition information based on the ambient light data; A user lighting selection module, used to obtain the user's lighting selection information; A lighting parameter determination module, used to determine overall lighting parameter information according to the lighting condition information and the lighting selection information; A driving state monitoring module, used to obtain vehicle driving state data, and determine the lighting parameters according to the driving state data and the overall lighting parameter information; A control instruction generation module, used for generating a lighting control instruction according to the light emitting parameters and the overall lighting information; The actual operation monitoring module is used to obtain the actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with the preset ideal illumination model, and obtain the illumination difference value; based on the illumination difference value and the preset illumination change threshold, determine whether to generate the illumination optimization instruction; The optimization and adjustment module is used to obtain corresponding lighting adjustment parameter information according to the lighting optimization instruction and adjust the light-emitting parameters of each LED lamp.

[0018] In a preferred example of the present application: the user lighting selection module further includes: A lighting mode extraction unit, configured to extract a lighting mode from the lighting selection information and use the lighting mode as an overall lighting style; A default lighting parameter acquisition unit, used to acquire default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters according to the lighting mode; The overall parameter information determining unit is used to associate the overall lighting style, the default lighting preset parameters, the lighting enhancement parameters and the lighting attenuation parameters to determine the overall lighting parameter information.

[0019] In the third aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for intelligent light effect adjustment of LED motorcycle lamps are implemented.

[0020] In a fourth aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for intelligent light effect adjustment of LED motorcycle lamps.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: The intelligence and flexibility of the intelligent light effect adjustment system of LED motorcycle lamps have been significantly enhanced, achieving precise adaptation to different driving conditions and ensuring the most suitable lighting solution in various driving environments; by introducing a closed-loop feedback mechanism and refined adjustment strategies, the system can not only respond quickly to environmental changes, but also continuously optimize the lighting effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flow chart of a method for adjusting the intelligent light effect of an LED motorcycle lamp in an embodiment of the present application; Figure 2 This is a flow chart of step S2 in the method for adjusting the intelligent light effect of an LED motorcycle lamp in one embodiment of the present application; Figure 3 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The present application is further described in detail below in conjunction with the accompanying drawings.

[0024] In one embodiment, if Figure 1As shown, the present application discloses a method for adjusting the light effect of an LED motorcycle lamp, which specifically includes the following steps: S1: Acquire ambient light data, and obtain lighting condition information based on the ambient light data.

[0025] In this embodiment, the ambient light data refers to parameters such as light intensity and color temperature in the surrounding environment; the lighting condition information is information extracted from the ambient light data that can be used for lighting adjustment, such as whether it is day or night, whether there is fog or rain, etc.

[0026] Specifically, light sensors (such as brightness sensors and color sensors) installed on the motorcycle are used to collect ambient light data in real time, and the current lighting conditions are determined based on the analysis results, such as whether it is daytime, dusk or night, and whether there are special weather conditions (such as rainy days, foggy days, etc.).

[0027] S2: Obtain the user's lighting selection information, and determine the overall lighting parameter information according to the lighting condition information and the lighting selection information.

[0028] In this embodiment, the user's lighting selection information refers to different lighting modes (such as night mode, rain and fog penetration mode, etc.) selected by the user through the interface or settings; the overall lighting parameter information includes parameter settings in multiple dimensions such as brightness, color temperature, and illumination angle, which are used to guide the lighting output of the entire system.

[0029] Specifically, a user interface (such as a mobile phone application or a car display) is provided to allow the user to select the desired lighting mode.

[0030] S3: Acquire vehicle driving state data, and determine light-emitting parameters according to the driving state data and overall lighting parameter information, wherein LED motorcycle lamps are installed in different parts of the motorcycle.

[0031] In this embodiment, the driving status data includes vehicle speed, turn signals, braking actions, etc., reflecting the real-time operating status of the motorcycle; the luminous parameters specifically define the working parameters of each LED lamp, such as brightness, color temperature, irradiation angle, etc.

[0032] Specifically, the driving status data is obtained from the vehicle's ECU or other sensors; the specific luminous parameters of the LED lamps in each part are calculated in combination with the overall lighting parameter information determined by S2; for lamps in different positions (such as headlights, taillights, turn signals, etc.), the luminous parameters that are most suitable for the current driving status are set respectively.

[0033] S4: Generate lighting control instructions according to the luminous parameters and the overall lighting information.

[0034] In this embodiment, the lighting control instruction is a specific control command used to instruct the LED lamp to work according to predetermined parameters.

[0035] Specifically, the central control unit (CCU) generates precise lighting control instructions based on the lighting parameters and overall lighting information determined by S3, and sends the lighting control instructions to the corresponding driver, which then controls the corresponding LED lamp to perform specific lighting tasks.

[0036] S5: Acquire actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with a preset ideal illumination model, and obtain an illumination difference value; based on the illumination difference value and a preset illumination change threshold, determine whether to generate an illumination optimization instruction.

[0037] In this embodiment, the actual lighting monitoring data refers to the actual lighting output of each lamp after executing the control command; the ideal lighting model is a pre-set standard lighting mode used to evaluate the actual lighting effect; the lighting difference value indicates the degree of deviation between the actual lighting and the ideal lighting; the lighting change threshold is the maximum deviation range allowed by the system, and adjustment is required if it exceeds this range.

[0038] Specifically, the built-in sensors of each lamp continuously monitor its own light output and feed the data back to the central control unit (CCU); the CCU compares these actual light monitoring data with the preset ideal light model and calculates the light difference value; if the light difference value exceeds the preset light change threshold, a light optimization instruction is generated.

[0039] S6: According to the lighting optimization instruction, corresponding lighting adjustment parameter information is obtained, and the light emitting parameters of each LED lamp are adjusted.

[0040] In this embodiment, the lighting adjustment parameter information refers to the light emission parameters reset to correct the illumination difference. The adjustment of the light emission parameters involves multiple aspects such as brightness and color temperature.

[0041] Specifically, according to the illumination optimization instruction, new illumination adjustment parameter information is obtained, the new adjustment parameters are compared with the existing parameters, and the light emitting parameters of each LED lamp are gradually adjusted until the illumination difference value returns to within the preset range.

[0042] In one embodiment, if Figure 2 As shown, in step S2, the user's lighting selection information is obtained, and the overall lighting parameter information is determined according to the lighting condition information and the lighting selection information, specifically including: S21: extracting a lighting mode from the lighting selection information, and using the lighting mode as an overall lighting style.

[0043] S22: According to the lighting mode, obtaining default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters.

[0044] In this embodiment, the default lighting preset parameters include a reference brightness value and a reference color temperature curve, the lighting enhancement parameters include enhanced brightness gain adjustment and enhanced color temperature adjustment, and the lighting attenuation parameters include attenuated brightness adjustment and attenuated color temperature adjustment; the default lighting preset parameters are the basic settings in each lighting mode, the lighting enhancement parameters are used to enhance the brightness or change the color temperature in specific situations, such as driving in a tunnel or meeting other vehicles at night, and the lighting attenuation parameters are used to reduce unnecessary brightness or adjust the color temperature to save energy and avoid light pollution.

[0045] Specifically, in order to cope with the phenomenon that LED light sources may experience luminance drift after long-term use, this application will also perform brightness and color temperature enhancement, and attenuation color temperature adjustment when monitoring the lighting efficiency status. By defining the baseline brightness value and color temperature curve, it ensures basic lighting quality while maximizing energy savings. The introduction of enhancement and attenuation parameters allows the system to increase or decrease the brightness of specific areas or change the color temperature when necessary to cope with special situations.

[0046] For example, the user selects the lighting mode "Dusk Mode", and the lighting effect adjustment system retrieves the default parameters: According to the "Dusk Mode", the system retrieves a reference brightness value of 60% from the preset database (i.e. 60% of normal brightness, between day and night).

[0047] The system retrieves the benchmark color temperature curve for the dusk period and sets the color temperature to 4500K (between cool white light and warm white light) to simulate the light effect of natural dusk.

[0048] The process of retrieving the hardening parameters is: Enhanced brightness gain adjustment: When needed (such as when it is cloudy or entering a tunnel), the system can increase the brightness to 80%.

[0049] Enhanced color temperature adjustment: The system can adjust the color temperature to 5500K when necessary to provide brighter, cooler light to penetrate fog or improve visibility.

[0050] The process for retrieving the decay parameters is: Attenuated brightness adjustment: When ambient light is sufficient, the system can reduce brightness to 40% to save energy and reduce light pollution.

[0051] Attenuated color temperature adjustment: The system can adjust the color temperature to 4000K when high-intensity lighting is not required to avoid excessive brightness causing discomfort to the driver.

[0052] Step S22 also includes: S221: According to the lighting mode, obtain a reference brightness value, a reference color temperature curve, enhanced brightness gain adjustment, enhanced color temperature adjustment, attenuated brightness adjustment, and attenuated color temperature adjustment.

[0053] Specifically, the reference brightness value defines the basic brightness level of the LED lamp in a specific lighting mode. The default brightness setting in the current lighting mode, that is, different reference brightness values ​​can be defined for different lighting modes. For example, for "dusk mode", the system may set the reference brightness value to 60% to provide moderate lighting between day and night; the reference color temperature curve describes the basic color temperature change trend that LED lamps should maintain under different time and environmental conditions. The color temperature determines the color of the light and is usually expressed in Kelvin (K); for example, for "dusk mode", the system may set the reference color temperature to 4500K to simulate the light effect of natural dusk, which is neither too cold white nor too warm yellow; enhanced brightness gain adjustment means that when the brightness needs to be enhanced (such as at night or in bad weather), the system can apply this parameter to increase the brightness output. Gain adjustment refers to the incremental ratio of brightness relative to the reference brightness. According to the lighting mode, the corresponding enhanced brightness gain adjustment value is retrieved from the preset database. For example, for "night mode", the system may set the enhanced brightness gain adjustment to +40%, that is, to increase the brightness by 40% based on the baseline brightness to ensure sufficient visibility; enhanced color temperature adjustment is used to change the color temperature to adapt to special environmental needs. For example, in rainy and foggy weather, using cooler light to penetrate the fog helps improve visibility and reduce glare. According to the lighting mode, the corresponding enhanced color temperature adjustment value is retrieved from the preset database. For example, for "rain and fog mode", the system may set the enhanced color temperature adjustment to +1000K, that is, to adjust the color temperature from the baseline 4500K to 5500K to provide cooler and brighter light. Attenuated brightness adjustment refers to when high intensity is not required. During lighting (such as during the day or driving at low speed), the system can use this parameter to reduce the brightness, save energy and reduce light pollution. The attenuation brightness adjustment refers to the reduction ratio of the brightness relative to the baseline brightness; for example, for "day mode", the system may set the attenuation brightness adjustment to -20%, that is, reduce the brightness by 20% based on the baseline brightness to avoid excessive lighting; attenuation color temperature adjustment refers to the appropriate adjustment of the color temperature to avoid visual discomfort or glare problems caused by excessive brightness. For example, for "day mode", the system may set the attenuation color temperature adjustment to -500K, that is, adjust the color temperature from the baseline 4500K to 4000K to provide softer light and reduce glare.

[0054] S23: Associating the overall lighting style, the default lighting preset parameters, the lighting enhancement parameters, and the lighting attenuation parameters to determine overall lighting parameter information.

[0055] In this embodiment, the overall lighting parameter information is the final lighting configuration plan generated after comprehensive consideration of all relevant factors, guiding the lighting output of the entire system; the association process ensures that each parameter is reasonably adjusted according to the current lighting mode to form a complete lighting configuration mode.

[0056] In one embodiment, the luminous parameters include a partition brightness gain and a partition color temperature response curve. In step S3, the vehicle driving state data is obtained, and the luminous parameters are determined according to the driving state data and the overall lighting parameter information, specifically including: S31: Obtaining a partition brightness gain and a partition color temperature response curve according to default lighting preset parameters and driving status data.

[0057] Specifically, the zone brightness gain refers to the brightness adjustment coefficient of each LED lamp zone, which is used to control the brightness level of the area; the zone color temperature response curve is used to define the color temperature change trend of each zone lamp under different environmental conditions to ensure that the light color meets current needs. Through the zone brightness gain and color temperature response curve, the system can make fine adjustments to the LED lamps in different areas.

[0058] Specifically, since lamps in different positions (such as headlights, taillights, turn signals, etc.) have different functional requirements, the partitioned brightness gain can be used to make refined and targeted adjustments to the lamps in each part; the partitioned color temperature response curve is used to define the color temperature change trend of lamps in different positions under different environmental conditions.

[0059] S32: performing enhancement adjustment and attenuation adjustment on the partition brightness gain and the partition color temperature response curve respectively according to the lighting enhancement parameter, the lighting attenuation parameter and the driving state data.

[0060] In this embodiment, enhancement adjustment refers to parameter adjustment applied when it is necessary to enhance brightness or change color temperature to cope with special driving conditions; attenuation adjustment refers to parameter adjustment applied when high-intensity lighting is not required to save energy and reduce light pollution.

[0061] In one embodiment, in step S5, according to the illumination optimization instruction, corresponding illumination adjustment parameter information is obtained, and the luminous parameters of each LED lamp are adjusted, specifically including: S61: Obtaining lighting optimization adjustment information according to the lighting optimization instruction.

[0062] In this embodiment, the lighting optimization instruction refers to an instruction generated by the system when the actual lighting effect does not meet expectations, which is used to start the lighting optimization process; the lighting optimization adjustment information refers to the luminous parameter information reset to correct the lighting difference.

[0063] S62: Obtain optimization completion information, generate a light detection instruction according to the optimization completion information, and obtain light detection result information.

[0064] In this embodiment, the optimization end information refers to the information generated by the system after the lighting optimization process is completed, confirming that the optimization has been completed; the lighting detection instruction is used to re-detect the actual lighting output of each partition lamp; the lighting detection result information refers to the actual lighting monitoring data of each partition lamp after the optimization is executed.

[0065] Specifically, the central control unit receives the optimization end information and confirms that the lighting optimization process has been completed. According to the optimization end information, the central control unit generates a lighting detection instruction to instruct the built-in sensors of each lamp to perform a new round of lighting detection. The sensor feeds back the actual lighting monitoring data to the central control unit to form lighting detection result information.

[0066] S63: According to the illumination detection result information, combined with the illumination optimization adjustment information, the current illumination state information is obtained. The illumination detection result information refers to the actual illumination monitoring data of the lamps in each partition.

[0067] In this embodiment, the current lighting state information refers to a description of the actual lighting state of the current lamps in each partition obtained by integrating the lighting detection result information and the lighting optimization adjustment information.

[0068] S64: Obtain lighting adjustment parameter information according to the current lighting state information and the overall lighting parameter information.

[0069] Specifically, the lighting adjustment parameter information refers to the light emission parameters reset to correct the lighting difference, including brightness, color temperature and other aspects.

[0070] S65: Adjusting the light emitting parameters of each LED lamp according to the lighting adjustment parameter information.

[0071] Specifically, the central control unit generates a specific lighting control instruction according to the lighting adjustment parameter information, and sends it to the corresponding driver. The driver adjusts the lighting parameters of the corresponding LED lamp according to the control instruction.

[0072] In one embodiment, the LED motorcycle lamp intelligent light effect adjustment method further includes: S10: When the lighting optimization instruction is obtained, the subarea lighting adjustment information is obtained according to the lighting adjustment parameter information, wherein the subarea lighting adjustment information includes the brightness value after the subarea gain is adjusted.

[0073] In this embodiment, the lighting optimization instruction refers to the instruction generated by the system when the actual lighting effect does not meet the expectations, which is used to start the lighting optimization process. The zone lighting adjustment information refers to the specific luminous parameters of each zone lamp that are reset to correct the lighting differences, including the brightness value after the zone gain is adjusted.

[0074] S20: Compare the partition gain adjusted brightness value with a preset brightness gain adjustment threshold value. If the partition brightness gain adjustment value is less than the brightness gain adjustment threshold value, adjust the light emitting parameters of each LED lamp according to the partition lighting adjustment information.

[0075] Specifically, the brightness gain adjustment threshold is a preset maximum allowable brightness gain value, which is used to determine whether the current adjustment is within a reasonable range; the zone brightness gain adjustment value is the brightness gain value of the zone lamp after adjustment, which is used to compare with the threshold.

[0076] Specifically, the brightness value after the partition gain adjustment is compared with the preset brightness gain adjustment threshold; the rationality of the adjustment is judged: if the partition brightness gain adjustment value is less than the brightness gain adjustment threshold, it is considered that the adjustment is within a reasonable range; according to the partition lighting adjustment information, the luminous parameters of each LED lamp are directly adjusted.

[0077] S30: If the brightness value after the partition gain adjustment is greater than the brightness gain adjustment threshold, the lighting parameter secondary adjustment instruction is triggered, and according to the lighting parameter secondary adjustment instruction, secondary lighting adjustment parameter information is obtained, and according to the secondary lighting adjustment parameter information, the luminous parameters of each LED lamp are adjusted.

[0078] In this embodiment, the secondary adjustment instruction of the lighting parameters refers to a further adjustment instruction generated by the system when the primary adjustment exceeds a reasonable range, which is used to more finely optimize the lighting effect; the secondary lighting adjustment parameter information refers to the luminous parameter information that is reset to correct the over-threshold situation, and the specific parameter values ​​adjusted are more precise and gradual.

[0079] Specifically, if the partition brightness gain adjustment value is greater than the brightness gain adjustment threshold, the lighting parameter secondary adjustment instruction is triggered, and then according to the secondary adjustment instruction, the corresponding secondary lighting adjustment parameter information is retrieved from the preset database; then according to the secondary lighting adjustment parameter information, the luminous parameters of each LED lamp are gradually adjusted to ensure that the final effect meets expectations.

[0080] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0081] In one embodiment, a LED motorcycle lamp intelligent light effect adjustment system is provided, and the LED motorcycle lamp intelligent light effect adjustment system corresponds to the LED motorcycle lamp intelligent light effect adjustment method in the above embodiment.

[0082] The LED motorcycle lamp intelligent light effect adjustment system includes an ambient light detection module, a user lighting selection module, a lighting parameter determination module, a driving state monitoring module, a control instruction generation module, an actual operation monitoring module and an optimization adjustment module. The detailed description of each functional module is as follows: An ambient light detection module is used to obtain ambient light data and obtain lighting condition information based on the ambient light data; A user lighting selection module, used to obtain the user's lighting selection information; A lighting parameter determination module, used to determine overall lighting parameter information according to lighting condition information and lighting selection information; A driving state monitoring module is used to obtain the driving state data of the vehicle and determine the lighting parameters according to the driving state data and the overall lighting parameter information; A control instruction generation module is used to generate lighting control instructions according to lighting parameters and overall lighting information; The actual operation monitoring module is used to obtain the actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with the preset ideal illumination model, and obtain the illumination difference value; based on the illumination difference value and the preset illumination change threshold, determine whether to generate the illumination optimization instruction; The optimization and adjustment module is used to obtain corresponding lighting adjustment parameter information according to the lighting optimization instruction and adjust the light-emitting parameters of each LED lamp.

[0083] Optionally, the user lighting selection module further includes: A lighting mode extraction unit, used for extracting the lighting mode from the lighting selection information and taking the lighting mode as the overall lighting style; A default lighting parameter acquisition unit, used to acquire default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters according to the lighting mode; The overall parameter information determining unit is used to associate the overall lighting style, the default lighting preset parameters, the lighting enhancement parameters and the lighting attenuation parameters to determine the overall lighting parameter information.

[0084] For the specific limitations of the LED motorcycle lamp intelligent light effect adjustment system, please refer to the limitations of the LED motorcycle lamp intelligent light effect adjustment method above, which will not be repeated here; the various modules in the above-mentioned LED motorcycle lamp intelligent light effect adjustment system can be fully or partially implemented by software, hardware and their combination; the above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0085] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store lighting modes, default lighting preset parameters and lighting change thresholds, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the intelligent light effect adjustment method of LED motorcycle lamps is implemented.

[0086] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: S1: Acquire ambient light data, and obtain lighting condition information according to the ambient light data; S2: Obtain the user's lighting selection information, and determine the overall lighting parameter information according to the lighting condition information and the lighting selection information; S3: Acquire vehicle driving state data, and determine light emitting parameters according to the driving state data and overall lighting parameter information, wherein the LED motorcycle lamps are installed in different parts of the motorcycle; S4: Generate lighting control instructions according to the luminous parameters and the overall lighting information; S5: Acquire actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with a preset ideal illumination model, and obtain an illumination difference value; based on the illumination difference value and a preset illumination change threshold, determine whether to generate an illumination optimization instruction; S6: According to the lighting optimization instruction, corresponding lighting adjustment parameter information is obtained, and the light emitting parameters of each LED lamp are adjusted.

[0087] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: S1: Acquire ambient light data, and obtain lighting condition information according to the ambient light data; S2: Obtain the user's lighting selection information, and determine the overall lighting parameter information according to the lighting condition information and the lighting selection information; S3: Acquire vehicle driving state data, and determine light emitting parameters according to the driving state data and overall lighting parameter information, wherein the LED motorcycle lamps are installed in different parts of the motorcycle; S4: Generate lighting control instructions according to the luminous parameters and the overall lighting information; S5: Acquire actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with a preset ideal illumination model, and obtain an illumination difference value; based on the illumination difference value and a preset illumination change threshold, determine whether to generate an illumination optimization instruction; S6: According to the lighting optimization instruction, corresponding lighting adjustment parameter information is obtained, and the light emitting parameters of each LED lamp are adjusted.

[0088] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0089] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0090] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. The intelligent light effect adjustment method of LED motorcycle lamps is characterized by: include: Acquire ambient light data, and obtain lighting condition information according to the ambient light data; Acquire the user's lighting selection information, and determine the overall lighting parameter information according to the lighting condition information and the lighting selection information; Acquire vehicle driving state data, and determine light emitting parameters according to the driving state data and the overall lighting parameter information, wherein the LED motorcycle lamps are installed at different parts of the motorcycle; generating a lighting control instruction according to the lighting parameters and the overall lighting information; Acquire actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with a preset ideal illumination model, and obtain an illumination difference value; based on the illumination difference value and a preset illumination change threshold, determine whether to generate an illumination optimization instruction; According to the lighting optimization instruction, corresponding lighting adjustment parameter information is obtained, and the light-emitting parameters of each LED lamp are adjusted.

2. The LED motorcycle lamp intelligent light effect adjustment method according to claim 1, characterized in that: The acquiring the user's lighting selection information and determining the overall lighting parameter information according to the lighting condition information and the lighting selection information specifically includes: Extracting a lighting mode from the lighting selection information, and using the lighting mode as the overall lighting style; According to the lighting mode, obtaining default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters; The overall lighting style, default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters are associated to determine the overall lighting parameter information.

3. The LED motorcycle lamp intelligent light effect adjustment method according to claim 2 is characterized in that: The default lighting preset parameters include a reference brightness value and a reference color temperature curve, the lighting enhancement parameters include an enhanced brightness gain adjustment and an enhanced color temperature adjustment, and the lighting attenuation parameters include an attenuated brightness adjustment and an attenuated color temperature adjustment; The acquiring of default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters according to the lighting mode specifically includes: According to the lighting mode, the reference brightness value, the reference color temperature curve, the enhanced brightness gain adjustment, the enhanced color temperature adjustment, the attenuated brightness adjustment, and the attenuated color temperature adjustment are obtained.

4. The LED motorcycle lamp intelligent light effect adjustment method according to claim 2, characterized in that: The luminous parameters include a partition brightness gain and a partition color temperature response curve, and the obtaining of vehicle driving state data and determining the luminous parameters according to the driving state data and the overall lighting parameter information specifically include: According to the default lighting preset parameters and the driving state data, acquiring the partition brightness gain and the partition color temperature response curve; According to the lighting enhancement parameter, the lighting attenuation parameter and the driving status data, the partition brightness gain and the partition color temperature response curve are respectively enhanced and attenuated.

5. The LED motorcycle lamp intelligent light effect adjustment method according to claim 1 is characterized in that: The step of obtaining corresponding lighting adjustment parameter information according to the lighting optimization instruction and adjusting the light emission parameters of each LED lamp specifically includes: According to the lighting optimization instruction, obtaining lighting optimization adjustment information; Obtain optimization completion information, generate a light detection instruction based on the optimization completion information, and obtain light detection result information; According to the illumination detection result information, combined with the illumination optimization adjustment information, current illumination state information is obtained, wherein the illumination detection result information refers to actual illumination monitoring data of each partition lamp; Acquire lighting adjustment parameter information according to the current lighting state information and the overall lighting parameter information; The lighting parameters of each LED lamp are adjusted according to the lighting adjustment parameter information.

6. The LED motorcycle lamp intelligent light effect adjustment method according to claim 5, characterized in that: The method further comprises: When the lighting optimization instruction is obtained, subarea lighting adjustment information is obtained according to the lighting adjustment parameter information, wherein the subarea lighting adjustment information includes a brightness value after the subarea gain is adjusted; Compare the partition gain adjusted brightness value with a preset brightness gain adjustment threshold, and if the partition brightness gain adjustment value is less than the brightness gain adjustment threshold, adjust the light emitting parameters of each LED lamp according to the partition lighting adjustment information; If the brightness value after the partition gain adjustment is greater than the brightness gain adjustment threshold, the lighting parameter secondary adjustment instruction is triggered, and the secondary lighting adjustment parameter information is obtained according to the lighting parameter secondary adjustment instruction. According to the secondary lighting adjustment parameter information, the luminous parameters of each LED lamp are adjusted.

7. LED motorcycle lamp intelligent light effect adjustment system, characterized by: Applied to the LED motorcycle lamp intelligent light effect adjustment method according to any one of claims 1 to 6, the system comprises: An ambient light detection module is used to obtain ambient light data and obtain lighting condition information based on the ambient light data; A user lighting selection module, used to obtain the user's lighting selection information; A lighting parameter determination module, used to determine overall lighting parameter information according to the lighting condition information and the lighting selection information; A driving state monitoring module, used to obtain vehicle driving state data, and determine the lighting parameters according to the driving state data and the overall lighting parameter information; A control instruction generation module, used for generating a lighting control instruction according to the light emitting parameters and the overall lighting information; The actual operation monitoring module is used to obtain the actual illumination monitoring data of each lamp, compare the actual illumination monitoring data with the preset ideal illumination model, and obtain the illumination difference value; based on the illumination difference value and the preset illumination change threshold, determine whether to generate the illumination optimization instruction; The optimization and adjustment module is used to obtain corresponding lighting adjustment parameter information according to the lighting optimization instruction and adjust the light-emitting parameters of each LED lamp.

8. The LED motorcycle lamp intelligent light effect adjustment system according to claim 7 is characterized in that: The user lighting selection module also includes: A lighting mode extraction unit, configured to extract a lighting mode from the lighting selection information and use the lighting mode as an overall lighting style; A default lighting parameter acquisition unit, used to acquire default lighting preset parameters, lighting enhancement parameters and lighting attenuation parameters according to the lighting mode; The overall parameter information determining unit is used to associate the overall lighting style, the default lighting preset parameters, the lighting enhancement parameters and the lighting attenuation parameters to determine the overall lighting parameter information.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the LED motorcycle lamp intelligent light effect adjustment method as claimed in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the steps of the LED motorcycle lamp intelligent light effect adjustment method as claimed in any one of claims 1 to 6 are implemented.

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