An energy-saving intelligent lighting method in a vehicle, a server, a medium and a program product

Abstract

This application provides an energy-saving intelligent in-vehicle lighting method, server, medium, and program product, relating to the field of intelligent control technology. The method includes: the server acquiring current time information, and then, in conjunction with multiple pre-set seat pressure sensors and cameras, accurately determining the situation of users inside the vehicle. Simultaneously, multiple light sensors collect the natural light intensity inside the vehicle in different user areas. Then, the time information and user information are input into a light preference model trained using machine learning based on historical data to calculate the preferred light intensity for each user. Based on this, and combined with the natural light intensity, the light intensity to be compensated is determined, and finally, the lighting equipment is controlled to provide light intensity compensation lighting as needed. This allows for automatic adjustment of light according to the personalized needs of different users at different times, while avoiding energy waste caused by excessively strong or dim lighting, achieving a dual improvement in energy saving and comfort.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology, and in particular to an energy-saving in-vehicle intelligent lighting method, server, medium and program product. Background Technology

[0002] With the continuous development of automotive technology, in-vehicle comfort features are receiving increasing attention. Interior lighting, as a crucial aspect, not only affects the visual experience of drivers and passengers but is also closely related to energy consumption. In today's trend of advocating energy conservation, emission reduction, and improving user experience, automakers are committed to developing more intelligent and efficient in-vehicle lighting systems.

[0003] Currently, the most common in-vehicle lighting technology is manual control of the light switch and brightness adjustment. Some vehicles are equipped with a simple automatic headlight function that can automatically turn the lighting equipment on or off according to the brightness of the ambient light outside the vehicle.

[0004] However, existing in-vehicle lighting technologies lack the ability to accurately identify and analyze the distribution of people inside the vehicle and their individual light preferences, making it difficult to provide suitable personalized lighting services for each user. Summary of the Invention

[0005] This application provides an energy-saving intelligent in-vehicle lighting method, server, medium, and program product for providing personalized in-vehicle lighting services to different users while achieving energy-saving effects.

[0006] In a first aspect, this application provides an energy-saving intelligent in-vehicle lighting method applied to a server. The method includes: acquiring current time information; determining in-vehicle user information by combining multiple pre-set seat pressure sensors and cameras; acquiring the in-vehicle natural light intensity in areas corresponding to different users through multiple light sensors; inputting the time information and the in-vehicle user information into a preset light preference model to obtain the preferred light intensity for each user, wherein the light preference model is obtained by machine learning training based on the preferences of different users for different light intensities in different historical time periods; determining the light intensity information to be compensated based on the in-vehicle natural light intensity and the preferred light intensity for multiple users; and controlling multiple lighting devices to perform light intensity compensation lighting based on the light intensity information to be compensated.

[0007] By adopting the above technical solution, the server first obtains the current time information, then uses seat pressure sensors and cameras to accurately locate the users inside the vehicle. A light sensor detects the natural light intensity in different areas, and this information is input into a light preference model trained by machine learning to determine the preferred light intensity for each user. This, in turn, determines the light intensity to be compensated for and controls the lighting equipment accordingly. In this way, the lighting can be automatically adjusted according to the personalized needs of different users at different times, satisfying both user visual comfort and avoiding energy waste caused by excessively strong or dim lighting, achieving a dual improvement in energy saving and comfort.

[0008] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of controlling multiple lighting devices to perform light intensity compensation lighting based on the light intensity information to be compensated, the method further includes: acquiring the user's pupil reaction information through a camera; if the pupil reaction information detects that the user's pupil is continuously constricting and the degree of constriction exceeds a preset constriction threshold, then controlling the lighting device to reduce the light intensity compensation intensity and continuously monitoring the pupil reaction until the pupil returns to a preset size range; if the pupil is detected to be gradually dilating and the dilation ratio exceeds a preset dilation threshold, then controlling the lighting device to increase the light intensity compensation intensity and continuously monitoring the pupil reaction until the pupil returns to a preset size range.

[0009] By adopting the above technical solution, this dynamic adjustment mechanism, based on human physiological feedback, accurately adapts to light, greatly improving user visual comfort, reducing visual fatigue caused by uncomfortable lighting, and making in-vehicle lighting more intelligent and considerate.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of controlling multiple lighting devices to perform light intensity compensation based on the light intensity information to be compensated, the method further includes: if the vehicle speed exceeds a set speed threshold, confirming that the vehicle is in a high-speed driving state; and increasing the light intensity and contrast in the driving area according to a set value.

[0011] By adopting the above technical solutions, when driving at high speeds, drivers need to concentrate highly. Sufficient and high-contrast lighting allows drivers to see key information such as the instrument panel and road conditions more clearly, reducing the risk of visual misjudgment and ensuring driving safety. At the same time, it also takes into account the basic lighting needs of other passengers in the vehicle, improving the overall riding experience.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of controlling multiple lighting devices to perform light intensity compensation based on the light intensity information to be compensated, the method further includes: obtaining the battery power information of the vehicle battery; if the battery power information is lower than a set battery power threshold, issuing a low battery reminder to the user through a voice module, and controlling multiple lighting devices in the vehicle to gradually reduce the light intensity in areas other than the driver.

[0013] By adopting the above technical solution, the driver's area maintains necessary lighting to ensure driving safety, while the other areas are appropriately dimmed. This allows users to know the battery status and extends the usable lighting time inside the vehicle by reasonably allocating the power, avoiding sudden interruption of lighting due to power depletion and ensuring the continuity of basic lighting functions inside the vehicle.

[0014] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of obtaining the power information of the vehicle battery, the method further includes: setting up an energy storage device connected to the in-vehicle lighting system; using a rectifier bridge to convert AC power into DC power, and charging the energy storage device after the voltage is stabilized by a voltage regulator chip; if the power information is lower than a set power threshold, controlling the energy storage device to provide temporary power to the in-vehicle lighting equipment.

[0015] By adopting the above technical solution, it is equivalent to creating a "backup power source" for the vehicle's interior lighting. Even if the vehicle's main battery is low on power, the energy storage device can seamlessly take over to maintain lighting in critical areas, prevent sudden light outages from affecting driving safety, and provide reliable redundancy for the vehicle's power consumption.

[0016] In conjunction with some embodiments of the first aspect, in some embodiments, after determining the light intensity information to be compensated based on the natural light intensity and preferred light intensity corresponding to multiple users in the vehicle, the method further includes: acquiring information on the interior trim material and color; determining the reflectivity and absorptivity data of light in the vehicle using a light sensor; and correcting the light intensity information to be compensated based on the reflectivity and absorptivity data.

[0017] By adopting the above technical solutions, different decorative materials and colors have different light reflection and absorption effects. For example, dark materials absorb light strongly, while light colors reflect more light. The corrected light intensity can perfectly match the interior environment, avoiding local over-brightness or under-brightness caused by interior reflection or light absorption, ensuring uniform and soft interior lighting, and improving the overall lighting quality and visual aesthetics.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, after the step of controlling multiple lighting devices to perform light intensity compensation based on the light intensity information to be compensated, the method further includes: if the vehicle is in motion and the change data of the natural light intensity inside the vehicle within a set time period exceeds a set change threshold; adjusting the light brightness of the in-vehicle lighting devices according to the change data and a preset brightness optimization rule.

[0019] By adopting the above technical solution, the lighting equipment can respond quickly to rapidly changing external light conditions, such as when a vehicle enters or exits a tunnel or a tree-shaded road. This mechanism prevents the interior light from becoming unbalanced due to sudden changes in natural light, ensuring that users are always in a comfortable and stable visual environment and improving the comfort and stability of the ride.

[0020] In a second aspect, this application provides a server comprising: one or more processors and a memory; the memory being coupled to the one or more processors, the memory being used to store computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the server to perform the methods described in the first aspect and any possible implementation thereof.

[0021] Thirdly, this application provides a computer-readable storage medium including instructions that, when executed on a server, cause the server to perform the method described in the first aspect and any possible implementation thereof.

[0022] Fourthly, this application provides a computer program product that, when run on a server, causes the server to perform the method described in the first aspect and any possible implementation thereof.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0024] 1. By employing a server-based approach that combines information collected from multiple sensors with a light preference model to control lighting, the system effectively solves the technical problem of existing technologies failing to simultaneously address the diverse lighting needs of different time periods and users, as well as energy conservation. This results in precise, on-demand lighting that ensures user visual comfort while avoiding energy waste, achieving a balance between energy saving and comfort.

[0025] 2. By employing a technology that dynamically adjusts the lighting intensity based on camera-captured pupil responses—that is, after initial light compensation lighting is completed, the camera monitors the user's pupils in real time and automatically adjusts the lighting equipment's compensation intensity based on whether pupil contraction or dilation exceeds a threshold—this effectively solves the technical problem of existing technologies that struggle to optimize in-vehicle lighting comfort based on real-time physiological feedback from the human body. This achieves precise adaptation to human visual perception, greatly reducing visual fatigue caused by uncomfortable lighting, and making the in-vehicle lighting system more intelligent and considerate.

[0026] 3. By employing a technical approach that combines the interior trim materials with the light reflection and absorption characteristics to correct the lighting intensity, specifically by determining the light intensity to be compensated, obtaining the interior trim material and color information, and combining it with the reflectivity and absorptivity data measured by the light sensor, the light intensity is precisely optimized. Therefore, it effectively solves the technical problem of existing technologies that ignore the influence of interior trim on light distribution, resulting in uneven and unsightly lighting. This achieves the technical effect of perfectly adapting the light to the interior environment, ensuring uniform and soft light, and improving the overall lighting quality and visual aesthetics. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating an energy-saving intelligent in-vehicle lighting method in an embodiment of this application;

[0028] Figure 2 This is another flowchart illustrating the energy-saving intelligent in-vehicle lighting method in this application embodiment;

[0029] Figure 3 This is a schematic diagram of the physical device structure of a server in an embodiment of this application. Detailed Implementation

[0030] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0031] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0032] For ease of understanding, the method provided in this implementation is described in process below. Please refer to [link / reference]. Figure 1 This is a flowchart illustrating an energy-saving intelligent in-vehicle lighting method in an embodiment of this application.

[0033] S101. Obtain the current time information;

[0034] During vehicle operation, the server accurately obtains the current time information by connecting to the vehicle's clock system or using a built-in timing module. The server can be the main control terminal for the equipment in the vehicle, used to control the operation of lighting equipment or other equipment that are connected to it in the vehicle.

[0035] Obtaining accurate time information is crucial for providing personalized lighting services to users at different times of day. For example, users' needs for interior light intensity typically differ significantly between day and night. During the day, when natural light is abundant, only low-intensity supplemental lighting may be needed; while at night, to ensure visibility and comfort, relatively strong lighting is often required. Furthermore, different time periods, such as early morning and late afternoon, will also lead to different lighting preferences due to variations in light patterns and the influence of the human body's biological clock. By acquiring accurate time information, the system can better integrate other factors to create a suitable interior lighting environment for users while simultaneously achieving energy-saving goals.

[0036] S102. Combine multiple pre-set seat pressure sensors and cameras to determine the user information inside the vehicle;

[0037] High-sensitivity seat pressure sensors can be pre-installed on each seat inside the vehicle. Based on pressure sensing technology, these sensors can detect changes in pressure on the seats in real time. When a passenger sits down, their weight is applied to the sensor, causing a change in the sensor's internal electrical parameters, which in turn generates an electrical signal that can be recognized by the server. This signal is then rapidly transmitted to the server via the vehicle's communication lines. Simultaneously, high-definition cameras equipped in the vehicle can be pre-positioned in key areas to ensure no blind spots. These cameras continuously capture images of the vehicle's interior at a certain frame rate and transmit this image data to the server via a high-speed data transmission channel. Upon receiving the image data, the server analyzes it using advanced image processing algorithms and artificial intelligence recognition technology. First, the server uses a target detection algorithm to quickly and accurately identify the outline and position of human figures in the images. Then, it further utilizes human posture recognition technology to analyze the passenger's specific posture, such as sitting upright, reclining, or bending over. By fusing and comparing the pressure signals from the seat pressure sensors with the results of the camera image analysis, the server can accurately determine whether a user is in each seat, as well as the user's specific location and posture information. This comprehensive judgment mechanism can effectively avoid misjudgments caused by passengers placing heavy objects on their seats or other interfering factors, thus providing a reliable user information basis for subsequent personalized lighting control.

[0038] S103. Obtain the intensity of natural light inside the vehicle in different user areas through multiple light sensors;

[0039] Multiple light sensors can be installed in different locations within the vehicle. These sensors utilize advanced photosensitive elements to sensitively perceive information such as the intensity, color, and direction of ambient light. The distribution of these light sensors is scientifically planned, including different areas on the roof, near windows, and above various functional areas within the vehicle. Each sensor has a specific monitoring range and angle to ensure comprehensive coverage of the interior space and accurate acquisition of lighting conditions in each area. When light shines on a light sensor, the photosensitive element generates a corresponding electrical signal change based on the light intensity. This changing electrical signal is processed and amplified by the sensor's internal circuitry before being transmitted to a server via the vehicle's electronic network.

[0040] After receiving signals from various light sensors, the server processes the data according to pre-set programs and algorithms. First, based on the installation location of the light sensor and its corresponding monitoring area, the light intensity data is associated with the corresponding user area. For example, data collected by the light sensor located above the driver's seat is labeled as the natural light intensity of the driver's seat area, while data from the light sensor above the rear seats corresponds to the rear passenger area.

[0041] Meanwhile, considering that external light conditions may change rapidly during vehicle operation, such as when the vehicle enters or exits tunnels, passes through shaded areas, or drives in different weather conditions, the server will continuously receive and update data from the light sensor to ensure that it can monitor the dynamic changes in natural light intensity in various areas of the vehicle in real time, providing accurate data support for subsequent precise calculation of light compensation intensity.

[0042] S104. Input the time information and the user information in the vehicle into the preset light preference model to obtain the preferred light intensity for each user. The light preference model is obtained by machine learning training based on the preference information of different users for different light intensities in different historical time periods.

[0043] The server collects a large amount of data on different users' preferences for in-car lighting intensity at different times. This dataset can come from actual user surveys or from detecting users manually adjusting the interior lights by installing light sensors inside the vehicle. After collecting enough data, it is preprocessed to extract each user's lighting intensity preferences for different time periods. Then, the server uses machine learning algorithms, with these datasets as training samples, to build a lighting preference model.

[0044] After obtaining the current time data and internal user information, the server prepares this data, converting it into a model-recognizable format as input. Time data may need to be categorized as "morning," "daytime," or "evening." User data includes features such as seating information and age group. The server feeds the pre-processed time and user input data into a pre-trained light preference model for prediction. The model automatically analyzes the input data, matching similar cases from historical datasets based on time periods and user characteristics, and calculates the preferred light intensity value for each user. After calculation, the model returns prediction results containing each user's preferred light intensity. The server receives this data, parses it, and saves it.

[0045] S105. Determine the light intensity information to be compensated based on the natural light intensity and preferred light intensity in the vehicle for multiple users respectively;

[0046] After obtaining the in-vehicle natural light intensity and preferred light intensity for each user, the server begins determining the light intensity information to be compensated. First, the server performs independent calculations for each user's location. For a specific user, the server extracts the in-vehicle natural light intensity value for their location from stored information, as well as the user's preferred light intensity value derived from a light preference model.

[0047] The server then uses a simple and efficient subtraction operation to calculate the light intensity to be compensated. Assume that the natural light intensity detected by the light sensor in the driver's seat where user A is located is 400 lux, and the light preference model determines that the user prefers a light intensity of 600 lux in this situation. Therefore, by calculating 600 - 400 = 200 lux, the light intensity to be compensated in user A's area is 200 lux. This means that the lighting equipment needs to be adjusted to increase the light output by 200 lux from the current natural light level to meet user A's visual needs.

[0048] Similarly, the server will repeat the above calculation process for other users in the car, such as users B and C in the back seats. If the natural light intensity in user B's area is 500 lux, and their preferred light intensity is 450 lux, the calculated light intensity to be compensated is 450 - 500 = -50 lux. This indicates that the light in this area is too strong, and the lighting equipment needs to be adjusted appropriately to reduce the light output by 50 lux to avoid glare affecting the user's comfort.

[0049] Throughout the calculation process, the server needs to efficiently process large amounts of data and ensure the accuracy and timeliness of the calculations. Because external lighting conditions can change constantly while the vehicle is in motion—for example, if the vehicle suddenly enters a shaded area or a directly sunny area—the intensity of natural light inside the vehicle will change. Therefore, the server must continuously acquire the latest light sensor data and quickly recalculate the light intensity information to be compensated for, adapting to the dynamic changes in the in-vehicle lighting environment.

[0050] S106. Control multiple lighting devices to perform light intensity compensation lighting based on the light intensity information to be compensated.

[0051] After determining the light intensity information to be compensated for each user, the server begins to precisely control the lighting equipment. The server works closely with the vehicle's electronic control system to convert the calculated light intensity information into specific control commands.

[0052] For areas requiring increased light intensity, such as the driver's seat where User A is located, the server sends control commands to increase the current or voltage output of the lighting equipment's drive circuit. If LED lighting is used, the increased current improves the luminous efficiency of the LED chips, resulting in stronger light output. During this process, the server precisely controls the increment of current or voltage to ensure that the increase in light intensity matches the light intensity information to be compensated. For areas requiring reduced light intensity, such as the rear seat where User B is located, the server sends commands to reduce the power supply to the corresponding lighting equipment's drive circuit. During the light intensity compensation process, the server also establishes a feedback mechanism. It continuously monitors the actual light intensity changes using light sensors and compares the monitored actual light intensity with the target compensated light intensity. If a deviation is found between the actual light intensity and the expected compensation effect, the server immediately adjusts the control commands, fine-tuning the light output of the lamps until the actual light intensity reaches the expected compensation effect.

[0053] In some embodiments, after completing the initial calculation of the light intensity to be compensated based on user and natural light, the system further collects information related to the vehicle interior decoration. Using a vehicle interior database pre-stored on the server, it obtains information on the decorative materials of various parts of the vehicle, such as whether the seat fabric is leather or fabric, and whether the center console material is plastic or metal, as well as their color information, such as black, beige, and gray. Simultaneously, light sensors distributed in different locations within the vehicle continue to operate. These light sensors not only sense the intensity of natural light but also monitor the interaction between light and the interior decorative surfaces. When light shines on surfaces of different decorative materials and colors, reflection and absorption occur. For example, black fabric may absorb light more strongly, resulting in less light reflection in that area; while white plastic may reflect more light, making the surrounding area relatively brighter. Based on their keen perception of light changes, combined with complex optical algorithms, the light sensors can determine the reflectivity and absorptivity data of light at different locations within the vehicle and transmit this data to the server.

[0054] After receiving the reflectivity and absorptivity data, the server uses a specialized correction algorithm to adjust the light intensity information to be compensated. If the reflectivity of the decorative material in a certain area is high, meaning that the area will appear brighter under the same lighting conditions, the server may appropriately reduce the light intensity to be compensated for in that area to avoid excessive light causing glare or uncomfortable visual effects. Conversely, if the material in a certain area has high absorptivity and is dimmer, the server will increase the light intensity to be compensated for in that area to ensure even light distribution. In this way, the final interior lighting is perfectly adapted to the vehicle's environment, avoiding localized overbrightness or underbrightness caused by interior reflections or light absorption, thereby improving the overall lighting quality and visual aesthetics, and creating a more comfortable and pleasant lighting atmosphere for vehicle occupants.

[0055] In some embodiments, the server maintains a high-frequency monitoring state of the natural light intensity inside the vehicle during the vehicle's movement. Light sensors rapidly and continuously collect light intensity data from different areas inside the vehicle at specific time intervals and transmit it to the server in real time. Once the server detects that the change in natural light intensity inside the vehicle exceeds a pre-set threshold within a set short period, this indicates a significant dynamic change in the vehicle's lighting environment. This change may stem from a change in the vehicle's path, such as the vehicle suddenly moving from direct sunlight into shade, or from a brightly lit tunnel into a tunnel. In this case, the server quickly initiates an adjustment program based on preset brightness optimization rules. These brightness optimization rules are formulated based on extensive real-world scene data and optical principles. The server first analyzes the direction and magnitude of the light intensity change. If the light intensity decreases sharply, such as dropping instantly from 800 lux to 400 lux, and the magnitude of the change exceeds the set threshold, the server calculates the required increase in light compensation according to the rules. It may send a command to the lighting fixtures to increase the brightness output by 300-400 lux to quickly improve the interior lighting brightness and ensure that the visibility inside the vehicle is not affected.

[0056] Conversely, if the light intensity increases significantly, such as rapidly increasing from 300 lux to 700 lux, the server will reduce the output power of the lighting fixtures according to the rules, decreasing the light intensity to prevent the interior light from becoming too bright and glaring. During the adjustment process, the server will also comprehensively consider the position of the users inside the vehicle and their current lighting preferences, ensuring that the adjusted light brightness not only meets the overall visibility needs but also takes into account the personalized comfort requirements of different users. This allows users to always be in a comfortable and stable visual environment, effectively improving the comfort and stability of the ride.

[0057] In this embodiment, by employing a comprehensive technical approach that combines multi-sensor fusion data acquisition, machine learning model analysis, and intelligent feedback control, it is possible to comprehensively and accurately acquire information about the in-vehicle environment and user needs, and thereby efficiently regulate the lighting equipment. This effectively solves the shortcomings of traditional in-vehicle lighting technology in terms of personalization, energy efficiency, and adaptability, and achieves the technical effect of intelligent, personalized, and energy-saving synergistic development of in-vehicle lighting. It creates a comfortable, safe, and energy-efficient in-vehicle lighting environment for users, greatly enhancing the user's riding experience.

[0058] In some embodiments, the system continuously monitors the vehicle's speed information during operation. Once the system detects that the vehicle speed exceeds a preset speed threshold, the server quickly determines that the vehicle is traveling at high speed. This determination is based on important considerations for vehicle safety, because at high speeds, the driver needs higher visual clarity to cope with rapidly changing road conditions and dashboard information.

[0059] Once the vehicle is confirmed to be traveling at high speed, the server sends specific control commands to the lighting fixtures in the driving area according to preset rules and parameters. These commands aim to increase the light intensity and contrast of the lighting fixtures. For increasing the light intensity, the server precisely calculates the required increase in brightness and converts it into a corresponding current or voltage adjustment signal, which is then sent to the lighting fixture driver circuit. For example, if the original light intensity in the driving area is 500 lux, it may be increased to 800 lux according to the set value to ensure that the driver can clearly see various indicators on the dashboard, vehicle control buttons, and detailed information about the road ahead, such as road markings, traffic signs, and the driving status of other vehicles.

[0060] To enhance contrast, the server adjusts the spectral distribution of the lights or employs special dimming algorithms. This strengthens the differences between different colors and brightness areas, making important information stand out more visually. For example, when displaying critical warning information on the dashboard (such as the engine malfunction indicator light and tire pressure warning light), higher contrast allows the driver to notice these abnormalities immediately and react promptly. This, in turn, improves the overall in-vehicle experience, ensuring safety and comfort during high-speed driving.

[0061] In some embodiments, during the continuous operation of the in-vehicle intelligent lighting system, the server periodically communicates with the vehicle's battery management system to obtain real-time battery power information. When the battery power information received by the server is lower than a preset power threshold, the system immediately activates the corresponding response mechanism. First, the server activates the voice module and issues a clear low battery reminder voice prompt to the user through the in-vehicle speakers, such as "Vehicle battery power is low, please charge it in time," allowing the user to understand the vehicle's battery status in a timely manner.

[0062] The server then adjusts the lighting control program. For the lighting in the driver's area, considering the paramount importance of driving safety, the light intensity is maintained at a basic level to ensure the driver can clearly see the dashboard, control area, and the road ahead. For the lighting in other areas of the vehicle, the server gradually reduces the light intensity according to a preset dimming strategy. For example, it may reduce the light output at certain time intervals (e.g., a 10% reduction every 5 seconds) or in brightness gradients (e.g., a 50 lux reduction each time) until a brightness level is reached that meets the passenger's basic visibility needs while maximizing energy savings.

[0063] Throughout the process, the server continuously monitors changes in battery power. If the power level drops further, the lighting strategy may be adjusted, such as further reducing the brightness of non-driving areas or shortening the lighting time. If the power level recovers and exceeds the set power threshold, the system will revert to normal lighting control mode, re-compensating for light intensity based on user needs and ambient light. This ensures basic vehicle lighting functions while effectively extending the duration of usable interior lighting, preventing sudden lighting interruptions due to depleted battery power, and improving the user's riding experience when the battery is low.

[0064] In some embodiments, an energy storage device closely connected to the in-vehicle lighting system is specifically incorporated into the vehicle's electrical architecture to enhance the stability of the power supply to the in-vehicle lighting system under special circumstances. When the vehicle is in operation, the alternating current (AC) from the vehicle's power supply is first directed to the rectifier bridge module. The rectifier bridge uses its internal diodes and other electronic components to convert the AC to direct current (DC) according to a specific circuit topology. This process is crucial because the in-vehicle energy storage device and most electronic components typically require DC to function properly. While the rectified DC has a certain degree of usability, its voltage may fluctuate, which can adversely affect the charging efficiency and lifespan of the energy storage device. Therefore, the DC further flows through a voltage regulator chip. The voltage regulator chip, through its internal feedback control circuit and voltage regulation mechanism, precisely adjusts and stabilizes the input DC voltage, ensuring that the voltage output to the energy storage device remains within a set safe and stable range, thereby achieving an efficient and safe charging process.

[0065] During vehicle operation, the server continuously acquires the vehicle's battery power information and compares it with a pre-set power threshold. If the power level falls below the threshold, indicating that the main battery may not be able to provide sufficient power to the interior lighting, the server quickly issues a control command to activate the power supply link between the energy storage device and the lighting. The energy storage device immediately begins supplying power to the lighting, ensuring continuous and stable operation. For example, during nighttime driving, if the main battery power drops below the threshold due to prolonged use or other reasons, the energy storage device seamlessly switches to maintain lighting in critical areas such as the driver's seat, dashboard, and passenger areas. This prevents sudden light outages that could obstruct the driver's vision or cause panic among passengers, providing reliable redundancy for in-vehicle power. This significantly improves the reliability and safety of the vehicle's lighting system, ensuring normal vehicle operation and passenger comfort.

[0066] Based on the above, the following is a more detailed description of the process provided in this implementation. Please refer to [link / reference]. Figure 2This is another flowchart illustrating the energy-saving intelligent in-vehicle lighting method in this application embodiment.

[0067] S201. Obtain the user's pupil response information through the camera;

[0068] During the operation of the vehicle's interior lighting system, the server continuously drives the pre-installed high-definition cameras inside the vehicle. These cameras possess high resolution and fast image acquisition capabilities, enabling them to capture images of various areas inside the vehicle at a stable frame rate, ensuring clear capture of the user's eyes. An efficient data transmission link is established between the server and the cameras, allowing the image data captured by the cameras to be transmitted to the server quickly and accurately. Upon receiving the image data, the server immediately initiates a dedicated image processing program. This program utilizes advanced image recognition algorithms and eye feature extraction technology to accurately locate and analyze the user's eyes in the image. By recognizing and tracking key components such as the eye contour, iris, and pupil, the server can accurately obtain real-time information about the user's pupil status, including pupil size, shape changes, and the rate of change. Throughout this process, the server needs to process a large amount of image data and quickly filter out effective information to ensure timely and accurate monitoring of the user's pupillary responses, providing crucial data for subsequent lighting adjustments.

[0069] S202. If the pupil reaction information detects that the user's pupil is continuously constricting and the degree of constriction exceeds a preset constriction threshold, the lighting device is controlled to reduce the light intensity compensation intensity and the pupil reaction is continuously monitored until the pupil returns to the preset size range.

[0070] After obtaining the user's pupil response information, the server compares it with a preset constriction threshold in real time. Once it detects that the user's pupils are continuously constricting and the degree of constriction exceeds the preset constriction threshold, the server will quickly activate the lighting equipment control program.

[0071] Based on the current light compensation intensity and preset adjustment strategies, the server generates corresponding control commands and sends these commands to the corresponding lighting equipment via the vehicle's electronic control system. For lighting equipment using digital dimming technology, the commands sent by the server precisely adjust the parameters of the drive circuit, reducing the output current or voltage, thereby reducing the light intensity of the lighting equipment. For example, if the current light intensity compensation value of the lighting equipment is 300 lux, the server may reduce the compensation value by 50 lux based on pupil constriction and preset adjustment rules, thus weakening the output light intensity of the lighting equipment and reducing the stimulation of the user's eyes.

[0072] After reducing the light intensity compensation level, the server does not stop working but continues to monitor the user's pupil response through the camera. The server re-analyzes and processes the pupil image at regular intervals (e.g., every 0.5 seconds) to observe the trend of pupil size changes. If the server finds that the pupil is still constricted and has not returned to the preset size range, it will further adjust the light intensity of the lighting equipment and continue to reduce the compensation level until the pupil gradually returns to normal.

[0073] When the pupil size returns to the preset range, the server will pause adjusting the light intensity of the lighting device, but will continue to monitor the pupil response. Because lighting conditions and user status may change again during vehicle operation, the server needs to be prepared to respond to new situations at any time, ensuring that the interior lighting is always within a comfortable range for the user, effectively avoiding visual fatigue and discomfort caused by excessive light, and improving the intelligence and humanization of the interior lighting.

[0074] S203. If the pupil is detected to be gradually dilating and the dilution ratio exceeds the preset dilution threshold, the lighting device is controlled to increase the light intensity compensation intensity and the pupil response is continuously monitored until the pupil returns to the preset size range.

[0075] Similarly, once the server detects through its sophisticated image analysis algorithm that the user's pupils are gradually dilating and the magnification exceeds a pre-set magnification threshold, it will immediately initiate a series of precise and efficient control operations.

[0076] The server first calculates the required increase in light intensity compensation based on the current operating parameters of the lighting equipment and its built-in intelligent adjustment logic. This calculation process comprehensively considers factors such as the degree of pupil dilation, the current basic lighting environment inside the vehicle, and the performance characteristics of the lighting equipment in that area. For example, if the current natural light intensity inside the vehicle is relatively low, and the user's pupil dilation exceeds the threshold by a significant margin, the server may determine a larger increase in light intensity compensation, such as 100 lux; if the natural light conditions are good and the degree of pupil dilation is mild, the increase will be relatively smaller, perhaps 30 lux.

[0077] Subsequently, the server sends the generated precise control commands to the corresponding lighting equipment via the vehicle's high-speed and stable electronic control system. For lighting equipment employing advanced dimming technology, such as intelligent LED lighting modules, the server's commands precisely adjust the operating parameters of the drive circuit, causing it to increase current or voltage output, thereby enhancing light intensity. During the process of increasing light intensity, the server closely monitors feedback information from the lighting equipment to ensure that the increase in light intensity closely matches the calculated compensation value, avoiding over-compensation or under-compensation.

[0078] After adjusting the light intensity of the lighting equipment, the server continuously monitors the user's pupil response via camera. The server re-acquires and analyzes the user's eye images at predetermined time intervals, extracts pupil size data, and compares it to a preset standard size range. If the pupil still hasn't returned to the preset size range and continues to show an abnormal trend of dilation or constriction, the server will recalculate and adjust the light intensity compensation value of the lighting equipment based on the new pupil state and trend, further optimizing the light intensity until the user's pupil stably returns to the preset size range.

[0079] In this embodiment, by employing camera-based pupil monitoring technology and intelligent feedback adjustment of lighting intensity, it is possible to capture real-time physiological changes in the user's pupils and dynamically adjust the light output of the lighting equipment accordingly. This effectively solves the problem that traditional in-vehicle lighting cannot optimize the lighting environment based on the user's real-time visual response, thereby achieving the technical effect of precise adaptation and dynamic maintenance of in-vehicle lighting to the user's visual comfort. This greatly enhances the user's visual experience in the vehicle and provides a more humanized and intelligent solution for the application of intelligent lighting in the vehicle field.

[0080] The server in the embodiments of this invention is described below from the perspective of hardware processing. Please refer to [link / reference]. Figure 3 This is a schematic diagram of the physical device structure of a server in an embodiment of this application.

[0081] It should be noted that, Figure 3 The server structure shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0082] like Figure 3As shown, the server includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes based on a program stored in Read-Only Memory (ROM) 302 or a program loaded from storage portion 308 into Random Access Memory (RAM) 303, such as performing the methods described in the above embodiments. The RAM 303 also stores various programs and data required for system operation. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0083] The following components are connected to I / O interface 305: input section 306 including audio input devices, push-button switches, etc.; output section 307 including a liquid crystal display (LCD) and audio output devices, indicator lights, etc.; storage section 308 including a hard disk, etc.; and communication section 309 including a network interface card such as a LAN (Local Area Network) card, modem, etc. Communication section 309 performs communication processing via a network such as the Internet. Drive 310 is also connected to I / O interface 305 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0084] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs the various functions defined in the present invention.

[0085] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0086] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those shown in the drawings.

[0087] Specifically, the server in this embodiment includes a processor and a memory. The memory stores a computer program, and when the computer program is executed by the processor, it implements the energy-saving in-vehicle intelligent lighting method provided in the above embodiment.

[0088] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the server described in the above embodiments; or it may exist independently and not assembled into the server. The storage medium carries one or more computer programs that, when executed by a processor of the server, cause the server to implement the energy-saving intelligent in-vehicle lighting method provided in the above embodiments.

[0089] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0090] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0091] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. An energy-saving intelligent in-vehicle lighting method, applied to a server, characterized in that, The method includes: Get the current time information; The system combines multiple pre-set seat pressure sensors and cameras to collaboratively determine in-vehicle user information. The intensity of natural light inside the vehicle is obtained by using multiple light sensors for different users in their respective areas; The time information and the in-vehicle user information are input into a preset light preference model to obtain the preferred light intensity for each user. The light preference model is obtained by machine learning training based on the preference information of different users for different light intensities in different historical time periods. The light intensity information to be compensated is determined based on the natural light intensity and preferred light intensity in the vehicle for multiple users; Based on the light intensity information to be compensated, control multiple lighting devices to perform light intensity compensation lighting; After the step of controlling multiple lighting devices to perform light intensity compensation lighting based on the light intensity information to be compensated, the method further includes: Acquire information about the user's pupil response through a camera; If the pupil response information detects that the user's pupil is continuously constricting and the degree of constriction exceeds a preset constriction threshold, the lighting device is controlled to reduce the light intensity compensation intensity and the pupil response is continuously monitored until the pupil returns to a preset size range. If the pupil is detected to be gradually dilating and the dilation ratio exceeds the preset dilation threshold, the lighting device is controlled to increase the light intensity compensation intensity and the pupil response is continuously monitored until the pupil returns to the preset size range.

2. The method according to claim 1, characterized in that, After the step of controlling multiple lighting devices to perform light intensity compensation based on the light intensity information to be compensated, the method further includes: If the vehicle speed exceeds the set speed threshold, it is confirmed that the vehicle is in a high-speed driving state. Increase the light intensity and contrast in the driving area according to the set values.

3. The method according to claim 1, characterized in that, After the step of controlling multiple lighting devices to perform light intensity compensation based on the light intensity information to be compensated, the method further includes: Obtain vehicle battery power information; If the battery level is lower than the set battery threshold, a low battery reminder will be sent to the user via the voice module, and multiple lighting devices in the vehicle will be controlled to gradually reduce the light intensity in areas other than the driver.

4. The method according to claim 3, characterized in that, Following the step of obtaining the vehicle battery's charge level information, the following steps are also included: Install an energy storage device connected to the vehicle's interior lighting system; The AC power is converted to DC power using a rectifier bridge, and the voltage is stabilized by a voltage regulator chip before being used to charge the energy storage device. If the power information is lower than the set power threshold, the energy storage device is controlled to provide temporary power to the vehicle's interior lighting equipment.

5. The method according to claim 1, characterized in that, After determining the light intensity information to be compensated based on the natural light intensity inside the vehicle and the preferred light intensity for multiple users, the method further includes: Obtain information on the materials and colors of the vehicle's interior trim; Combine light sensors to determine the reflectivity and absorptivity of light inside the vehicle; The intensity information of the light to be compensated is corrected based on the reflectivity data and the absorptivity data.

6. The method according to claim 1, characterized in that, After the step of controlling multiple lighting devices to perform light intensity compensation based on the light intensity information to be compensated, the method further includes: If the vehicle is in motion and the detected change in the intensity of natural light inside the vehicle exceeds a set change threshold within a set short period of time; The brightness of the in-vehicle lighting equipment is adjusted based on the change data and preset brightness optimization rules.

7. A server, characterized in that, The server includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code including computer instructions, and the one or more processors call the computer instructions to cause the server to perform the method as described in any one of claims 1-6.

8. A computer-readable storage medium comprising instructions, characterized in that, When the instruction is executed on the server, it causes the server to perform the method as described in any one of claims 1-6.

9. A computer program product, characterized in that, When the computer program product is run on the server, the server performs the method as described in any one of claims 1-6.

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