Method and system for detecting illumination uniformity of automobile atmosphere lamp

Abstract

The invention provides an automobile atmosphere lamp illumination uniformity detection method and system, detection points of a simulated automobile cabin are determined, detection parameters of the detection points are set, and simulated human eye light sensation visual detection in the automobile cabin is realized by setting the detection points; by means of illumination detection data of all detection points on atmosphere light, global illumination distribution of a vehicle cabin is constructed, a non-uniform illumination area in the global illumination distribution is determined, and non-uniform illumination space distribution formed under the current atmosphere light illumination condition is accurately positioned; a target atmosphere lamp suitable for eliminating the non-uniform illumination area is determined in combination with the spatial relationship between the non-uniform illumination area and the atmosphere lamp layout, illumination change information of the target atmosphere lamp is determined, it is ensured that global atmosphere lamp uniformity illumination detection is implemented for the specific cabin environment in the design stage, and by changing the light emitting illumination state of the atmosphere lamp, the uniformity of the atmosphere lamp is improved. The overall lighting quality of the cabin is improved.

Description

Technical Field

[0001] The present invention relates to the field of lighting detection, and in particular to a method and system for detecting the lighting uniformity of automobile atmosphere lamps. Background Art

[0002] With the continuous development of the automotive industry and the increasing penetration of automobiles, vehicle design is also moving towards personalization and intelligence. Interior cabin lighting, particularly ambient lighting, plays a crucial role in improving the visual experience of the cabin environment and nighttime driving safety. Ambient lighting is typically installed in locations such as the dashboard, center console, doors, and roof panel, providing reliable, soft illumination guidance for clear visual identification and accurate operation of functional components within the vehicle. Vehicle interiors have strict requirements for the illumination range and uniformity of ambient lighting. Therefore, the uniformity of ambient lighting within the cabin must be fully considered during the design phase. Therefore, determining the appropriate ambient lighting conditions during the design phase and improving the overall lighting quality of the cabin is crucial. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for detecting the uniformity of automobile atmosphere lamp lighting, determine the detection points of a simulated vehicle cabin and set their detection parameters, and realize visual detection of simulated human eye light perception in the vehicle cabin by setting the detection points; use the lighting detection data of the atmosphere lamp at all detection points to construct the global lighting distribution of the vehicle cabin, determine the non-uniform lighting area therein, and accurately locate the non-uniform lighting spatial distribution formed under the current atmosphere lamp lighting conditions; combine the spatial relationship between the non-uniform lighting area and the atmosphere lamp layout to determine the target atmosphere lamp suitable for eliminating the non-uniform lighting area, and determine the lighting change information of the target atmosphere lamp, so as to ensure that the global atmosphere lamp uniformity lighting detection is implemented for the specific vehicle cabin environment during the design stage, and improve the overall lighting quality of the vehicle cabin by changing the lighting state of the atmosphere lamp.

[0004] The present invention is achieved through the following technical solutions: The method for testing the uniformity of automotive atmosphere lighting includes: Determining detection points of the simulated vehicle cabin and setting detection parameters of the detection points; Obtaining illumination detection data of the atmosphere light at all detection points, constructing a global illumination distribution of the simulated vehicle cabin, and determining non-uniform illumination areas within the simulated vehicle cabin; According to the spatial relationship between the non-uniform lighting area and the layout of the atmosphere lights, a target atmosphere light suitable for eliminating the non-uniform lighting area is determined; and the lighting state of the target atmosphere light is analyzed to determine the lighting change information of the target atmosphere light.

[0005] Optionally, determining detection points of the simulated vehicle cabin and setting detection parameters of the detection points include: Acquire the layout of the atmosphere lights in the simulated vehicle cabin and the light emission range of the atmosphere lights; wherein the atmosphere light layout refers to the three-dimensional layout of the light emission surfaces of all the atmosphere lights in the simulated vehicle cabin; and the light emission range refers to the spatial angle of light emission of each of the atmosphere lights; estimating the atmosphere lighting overlap area and the illumination missing area in the simulated vehicle cabin based on the atmosphere lighting layout and the atmosphere lighting emission range, thereby determining the detection points in the simulated vehicle cabin; Obtaining the person's line of sight activity information corresponding to the detection point; wherein the person's line of sight activity information includes the range of the person's possible line of sight angle at the detection point in a preset cabin activity scene; The scanning detection action space angle range of the detection device at the detection point is set according to the personnel line of sight activity information.

[0006] Optionally, obtaining illumination detection data of the atmosphere light at all detection points, constructing a global illumination distribution of the simulated vehicle cabin, and determining a non-uniform illumination area in the simulated vehicle cabin includes: Acquire multiple sets of lighting brightness detection data for each detection point on the atmosphere light, remove abnormal data points and calculate the mean of the multiple sets of lighting brightness detection data, and obtain effective lighting brightness detection data for each detection point on the atmosphere light; Integrate and construct a global illumination distribution of the simulated vehicle cabin based on the spatial distribution of the effective illumination brightness detection data of all detection points within the simulated vehicle cabin; The global illumination distribution is meshed and average brightness is compared to determine the non-uniform illumination area in the simulated vehicle cabin.

[0007] Optionally, removing abnormal data points from the multiple sets of lighting brightness detection data includes: Extracting brightness data obtained from multiple sets of lighting brightness detection corresponding to each atmosphere light; Comparing the brightness data with a preset brightness data range; When the number of illuminations in which the brightness value is not within the preset brightness data range in the multiple sets of illumination brightness does not exceed the preset number threshold, the brightness value not within the preset brightness data range is removed as an abnormal data point; When the number of illuminations in which the brightness value is not within the preset brightness data range appears in the multiple groups of illumination brightnesses exceeds a preset number threshold, each brightness value not within the preset brightness data range is compared with its corresponding nearest brightness data range boundary value, and a difference between each brightness value not within the preset brightness data range and its corresponding nearest brightness data range boundary value is obtained; Compare the difference value with a preset difference threshold; Filtering difference values ​​exceeding a preset difference threshold as first difference data; Filtering difference values ​​that do not exceed a preset difference threshold as second difference data; Obtaining a brightness compensation coefficient using the first difference data and the second difference data; The brightness compensation coefficient is obtained by the following formula: Wherein, S represents the brightness compensation coefficient; n and m represent the first difference data and the second difference data; R 01i Represents the data value corresponding to the i-th first difference data; R 02i Represents the data value corresponding to the i-th second difference data; R 01z Represents the middle value of the data corresponding to the n first difference data; R 02z represents the middle value of the data corresponding to the m second difference data; Using the brightness compensation coefficient to compensate for brightness values ​​that are not within the preset brightness data range, and obtain the adjusted brightness values; The adjusted brightness value is obtained by the following formula: Among them, X t Indicates the brightness value after adjustment; X0 indicates the brightness value before adjustment; X up and X down Respectively represent the upper limit and lower limit of the preset brightness data range; X b Indicates the brightness standard deviation corresponding to multiple groups of lighting brightness; X p Indicates the average brightness value corresponding to multiple groups of lighting brightness; Compare the adjusted brightness value with the preset brightness data range; Among the adjusted brightness values, brightness values ​​that are not within the preset brightness data range are removed as abnormal data points.

[0008] Optionally, determining a target atmosphere lamp suitable for eliminating the non-uniform illumination area based on a spatial relationship between the non-uniform illumination area and the atmosphere lamp layout; and performing illumination state analysis on the target atmosphere lamp to determine illumination change information of the target atmosphere lamp includes: identifying, based on the layout of the atmosphere lights in the simulated vehicle cabin, all candidate atmosphere lights within a preset distance range from the non-uniform illumination area; and determining, based on the effective illumination projection areas of all candidate atmosphere lights on the non-uniform illumination area, a target atmosphere light suitable for eliminating the non-uniform illumination area; The allowable change range of the illumination light output angle of the target atmosphere lamp is obtained, and the action change information of the light output shaping component of the target atmosphere lamp is determined according to the area of ​​the non-uniform illumination region.

[0009] Automobile atmosphere lighting uniformity detection system, including: A detection point setting module, used to determine the detection points of the simulated vehicle cabin and set the detection parameters of the detection points; Lighting detection data acquisition module, used to obtain lighting detection data of atmosphere lights at all detection points; a non-uniform lighting region determination module, configured to construct a global lighting distribution of the simulated vehicle cabin and determine a non-uniform lighting region within the simulated vehicle cabin; An atmosphere light calibration module, configured to determine a target atmosphere light suitable for eliminating the non-uniform illumination area based on a spatial relationship between the non-uniform illumination area and the atmosphere light layout; The lighting change determination module is used to analyze the lighting status of the target atmosphere lamp and determine the lighting change information of the target atmosphere lamp.

[0010] Optionally, the detection point setting module is used to determine detection points of the simulated vehicle cabin and set detection parameters of the detection points, including: Acquire the layout of the atmosphere lights in the simulated vehicle cabin and the light emission range of the atmosphere lights; wherein the atmosphere light layout refers to the three-dimensional layout of the light emission surfaces of all the atmosphere lights in the simulated vehicle cabin; and the light emission range refers to the spatial angle of light emission of each of the atmosphere lights; estimating the atmosphere lighting overlap area and the illumination missing area in the simulated vehicle cabin based on the atmosphere lighting layout and the atmosphere lighting emission range, thereby determining the detection points in the simulated vehicle cabin; Obtaining the person's line of sight activity information corresponding to the detection point; wherein the person's line of sight activity information includes the range of the person's possible line of sight angle at the detection point in a preset cabin activity scene; The scanning detection action space angle range of the detection device at the detection point is set according to the personnel line of sight activity information.

[0011] Optionally, the lighting detection data acquisition module is used to acquire lighting detection data of the atmosphere light at all detection points, including: Acquire multiple sets of lighting brightness detection data for each detection point on the atmosphere light, remove abnormal data points and calculate the mean of the multiple sets of lighting brightness detection data, and obtain effective lighting brightness detection data for each detection point on the atmosphere light; The non-uniform illumination area determination module is used to construct the global illumination distribution of the simulated vehicle cabin and determine the non-uniform illumination area in the simulated vehicle cabin, including: Integrate and construct a global illumination distribution of the simulated vehicle cabin based on the spatial distribution of the effective illumination brightness detection data of all detection points within the simulated vehicle cabin; The global illumination distribution is meshed and average brightness is compared to determine the non-uniform illumination area in the simulated vehicle cabin.

[0012] Optionally, removing abnormal data points from the multiple sets of lighting brightness detection data includes: Extracting brightness data obtained from multiple sets of lighting brightness detection corresponding to each atmosphere light; Comparing the brightness data with a preset brightness data range; When the number of illuminations in which the brightness value is not within the preset brightness data range in the multiple sets of illumination brightness does not exceed the preset number threshold, the brightness value not within the preset brightness data range is removed as an abnormal data point; When the number of illuminations in which the brightness value is not within the preset brightness data range appears in the multiple groups of illumination brightnesses exceeds a preset number threshold, each brightness value not within the preset brightness data range is compared with its corresponding nearest brightness data range boundary value, and a difference between each brightness value not within the preset brightness data range and its corresponding nearest brightness data range boundary value is obtained; Compare the difference value with a preset difference threshold; Filtering difference values ​​exceeding a preset difference threshold as first difference data; Filtering difference values ​​that do not exceed a preset difference threshold as second difference data; Obtaining a brightness compensation coefficient using the first difference data and the second difference data; The brightness compensation coefficient is obtained by the following formula: Wherein, S represents the brightness compensation coefficient; n and m represent the first difference data and the second difference data; R 01i Represents the data value corresponding to the i-th first difference data; R 02i Represents the data value corresponding to the i-th second difference data; R 01z Represents the middle value of the data corresponding to the n first difference data; R 02z represents the middle value of the data corresponding to the m second difference data; Using the brightness compensation coefficient to compensate for brightness values ​​that are not within the preset brightness data range, and obtain the adjusted brightness values; The adjusted brightness value is obtained by the following formula: Among them, X t Indicates the brightness value after adjustment; X0 indicates the brightness value before adjustment; X up and X down Respectively represent the upper limit and lower limit of the preset brightness data range; X bIndicates the brightness standard deviation corresponding to multiple groups of lighting brightness; X p Indicates the average brightness value corresponding to multiple groups of lighting brightness; Compare the adjusted brightness value with the preset brightness data range; Among the adjusted brightness values, brightness values ​​that are not within the preset brightness data range are removed as abnormal data points.

[0013] Optionally, the atmosphere light calibration module is configured to determine a target atmosphere light suitable for eliminating the non-uniform illumination area according to a spatial relationship between the non-uniform illumination area and the atmosphere light layout, including: identifying, based on the layout of the atmosphere lights in the simulated vehicle cabin, all candidate atmosphere lights within a preset distance range from the non-uniform illumination area; and determining, based on the effective illumination projection areas of all candidate atmosphere lights on the non-uniform illumination area, a target atmosphere light suitable for eliminating the non-uniform illumination area; The lighting change determination module is used to analyze the lighting state of the target atmosphere lamp and determine the lighting change information of the target atmosphere lamp, including: The allowable change range of the illumination light output angle of the target atmosphere lamp is obtained, and the action change information of the light output shaping component of the target atmosphere lamp is determined according to the area of ​​the non-uniform illumination region.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The automotive atmosphere light illumination uniformity detection method and system provided in the present application determine the detection points of the simulated vehicle cabin and set their detection parameters, and realize the visual detection of the simulated human eye light perception in the vehicle cabin by setting the detection points; use the illumination detection data of the atmosphere light at all detection points to construct the global illumination distribution of the vehicle cabin, determine the non-uniform illumination area therein, and accurately locate the non-uniform illumination spatial distribution formed under the current atmosphere light lighting conditions; combine the spatial relationship between the non-uniform illumination area and the atmosphere light layout to determine the target atmosphere light suitable for eliminating the non-uniform illumination area, and determine the lighting change information of the target atmosphere light, to ensure that the global atmosphere light uniformity illumination detection is implemented for the specific vehicle cabin environment during the design stage, and improve the overall lighting quality of the vehicle cabin by changing the illumination state of the atmosphere light. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. Among them: Figure 1This is a flow chart of the method for detecting the uniformity of automobile atmosphere lamp lighting provided by the present invention.

[0016] Figure 2 To simulate the spatial layout of the atmosphere lights and detection points in the cabin.

[0017] Figure 3 This is to change the action of the light shaping component of the target ambient light.

[0018] Figure 4 This is a structural schematic diagram of the automobile atmosphere lamp lighting uniformity detection system provided by the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It will be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some, rather than all, structures related to the present application are shown in the accompanying drawings. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0020] As used herein, the terms "comprise," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0021] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] See also Figure 1 As shown, an embodiment of the present application provides a method for detecting the uniformity of automobile atmosphere lamp lighting. The method for detecting the uniformity of automobile atmosphere lamp lighting includes: Determine the test points of the simulated vehicle cabin and set the test parameters of the test points; Obtain lighting detection data for the ambient light at all detection points, construct the global lighting distribution of the simulated cabin, and determine the non-uniform lighting areas in the simulated cabin; According to the spatial relationship between the non-uniform lighting area and the layout of the atmosphere lights, a target atmosphere light suitable for eliminating the non-uniform lighting area is determined; the lighting state of the target atmosphere light is analyzed to determine the lighting change information of the target atmosphere light.

[0023] The beneficial effects of the above embodiments are as follows: the automobile atmosphere light lighting uniformity detection method determines the detection points of the simulated cabin and sets its detection parameters, and realizes the visual detection of the simulated human eye light perception in the cabin by setting the detection points; uses the lighting detection data of the atmosphere light at all detection points to construct the global lighting distribution of the cabin, determines the non-uniform lighting area therein, and accurately locates the non-uniform lighting space distribution formed under the current atmosphere light lighting conditions; combines the spatial relationship between the non-uniform lighting area and the atmosphere light layout to determine the target atmosphere light suitable for eliminating the non-uniform lighting area, and determines the lighting change information of the target atmosphere light, ensuring that the global atmosphere light uniformity lighting detection is implemented for the specific cabin environment during the design stage, and improves the overall lighting quality of the cabin by changing the lighting state of the atmosphere light.

[0024] In another embodiment, determining detection points of the simulated vehicle cabin and setting detection parameters of the detection points include: Acquire the simulated cabin atmosphere light layout and atmosphere light emission range; wherein the atmosphere light layout refers to the three-dimensional layout of the light emission surfaces of all the atmosphere lights in the simulated cabin; the atmosphere light emission range refers to the spatial angle of light emission of each atmosphere light; Based on the layout and range of the ambient lighting, the overlapping and missing areas of ambient lighting in the simulated vehicle cabin are estimated to determine the detection points in the simulated vehicle cabin. Obtaining the person's line of sight activity information corresponding to the detection point; wherein the person's line of sight activity information includes the range of the person's possible line of sight angle at the detection point in a preset cabin activity scenario; According to the personnel's visual activity information, the scanning detection action space angle range of the detection equipment at the detection point is set.

[0025] See also Figure 2 During the design phase of automotive ambient lighting, ambient lighting is installed on the dashboard, center console, doors, and roof panels of a simulated vehicle cabin. The simulated cabin can be, but is not limited to, a simulated testing environment identical to the interior of an actual vehicle. In order to address both large-area and soft lighting requirements, ambient lighting typically utilizes a combination of LED light sources and light guides (see Figure 3), specifically, an LED light source is provided on the light entrance surface at one end of the light guide. Light emitted by the LED light source enters the light guide and undergoes multiple total reflections within the light guide before exiting from a light exit surface extending along the length of the light guide, providing soft, ambient lighting over a large area within the vehicle cabin. Considering the numerous locations of ambient lights within the simulated cabin, some areas within the simulated cabin can be illuminated by light from the same ambient light, while other areas may be illuminated by edge light from different ambient lights simultaneously, and still other areas may not receive light from any ambient light at all. This results in uneven illumination within the simulated cabin due to the ambient lights. The areas that may be illuminated by edge light from different ambient lights simultaneously and the areas that are unable to receive light from any ambient light are most likely to experience uneven illumination.

[0026] To accurately and comprehensively test the lighting environment created by all ambient lights in the simulated vehicle cabin's initial illumination state, the three-dimensional layout of the light-emitting surfaces (i.e., the position, dimensions, and shape of the light-emitting surfaces in three-dimensional space) and the spatial angles of light emission (i.e., the divergence angles of light emitted from the light-emitting surfaces in three-dimensional space) of all ambient lights in the simulated vehicle cabin are first determined. Based on the ambient light layout and light-emitting range, the simulated vehicle cabin's interior lighting is modeled to determine the overlapping areas (i.e., areas illuminated by two or more ambient lights simultaneously) and the areas without illumination (i.e., areas not illuminated by any ambient light). Although these overlapping areas are illuminated by light from two or more ambient lights, this light originates from the edges of the ambient light's emitted light beams. This results in lower actual light intensity in the overlapping areas compared to other areas illuminated by only a single ambient light. Consequently, the actual light intensity in both the overlapping and the missing areas is lower than in other areas. Then, based on the overlapping areas of the atmosphere lighting and the areas of missing lighting, detection points are set in the simulated vehicle cabin, where the distance between the detection points and the overlapping areas of the atmosphere lighting or the areas of missing lighting is less than a preset distance threshold. In this way, by setting a visual sensor that can dynamically scan and detect at each detection point, detection data containing the lighting conditions corresponding to the above-mentioned overlapping areas of the atmosphere lighting or the areas of missing lighting can be obtained.

[0027] Considering that the cabin's ambient lighting provides visual illumination for the driver or passengers, to achieve visual detection consistent with human visual activity at the detection point, the team first sets the possible line-of-sight changes that would occur if a driver or passenger were present at each detection point within the simulated cabin. This determines the possible line-of-sight angle range at the detection point under the pre-set cabin activity scenario. Based on this line-of-sight angle range, the spatial angular range of the scanning detection action of the detection equipment (such as a visual sensor capable of detecting light intensity) installed at the detection point is then set, achieving human-like detection of the detection equipment.

[0028] In another embodiment, obtaining illumination detection data of the atmosphere light at all detection points, constructing a global illumination distribution of the simulated vehicle cabin, and determining non-uniform illumination areas in the simulated vehicle cabin include: Obtain multiple sets of lighting brightness detection data for the atmosphere light at each detection point, remove abnormal data points and calculate the mean of the multiple sets of lighting brightness detection data, and obtain the effective lighting brightness detection data for the atmosphere light at each detection point; Based on the spatial distribution of the effective lighting brightness detection data of all detection points in the simulated vehicle cabin, the global lighting distribution of the simulated vehicle cabin is constructed; The global illumination distribution is meshed and the average brightness is compared to identify areas of non-uniform illumination within the simulated cabin.

[0029] To ensure accurate detection of the lighting conditions within the simulated cabin generated by each ambient light, the detection equipment at each detection point performs multiple scans, generating a set of illumination brightness measurement data for each scan. Each set of illumination brightness measurement data contains a number of illumination brightness measurement values ​​corresponding to all detection time points during the entire scanning process. Abnormally large or small illumination values ​​within each set of illumination brightness measurement data are removed. The average of all illumination brightness measurement data sets is then calculated to obtain the effective illumination brightness measurement data for the ambient light at each detection point, enhancing the reliability of the effective illumination brightness measurement data. The effective illumination brightness measurement data for all detection points is then modeled based on the spatial distribution within the simulated cabin and integrated to obtain the global illumination distribution of the simulated cabin (i.e., the global illumination distribution within the simulated cabin at the visual level). This global illumination distribution is then gridded, and the average brightness value within each grid is obtained. If the average brightness value is less than a preset brightness threshold, the corresponding grid is determined to be part of a non-uniform illumination region. All grids with average brightness values ​​below the preset brightness threshold are then integrated as non-uniform illumination regions.

[0030] In another embodiment, removing abnormal data points from the multiple sets of lighting brightness detection data includes: Extracting brightness data obtained from multiple sets of lighting brightness detection corresponding to each atmosphere light; Comparing the brightness data with a preset brightness data range; When the number of illuminations in which the brightness value is not within the preset brightness data range in the multiple sets of illumination brightness does not exceed the preset number threshold, the brightness value not within the preset brightness data range is removed as an abnormal data point; When the number of illuminations in which the brightness value is not within the preset brightness data range appears in the multiple groups of illumination brightnesses exceeds a preset number threshold, each brightness value not within the preset brightness data range is compared with its corresponding nearest brightness data range boundary value, and a difference between each brightness value not within the preset brightness data range and its corresponding nearest brightness data range boundary value is obtained; Compare the difference value with a preset difference threshold; Filtering difference values ​​exceeding a preset difference threshold as first difference data; Filtering difference values ​​that do not exceed a preset difference threshold as second difference data; Obtaining a brightness compensation coefficient using the first difference data and the second difference data; The brightness compensation coefficient is obtained by the following formula: Wherein, S represents the brightness compensation coefficient; n and m represent the first difference data and the second difference data; R 01i Represents the data value corresponding to the i-th first difference data; R 02i Represents the data value corresponding to the i-th second difference data; R 01z Represents the middle value of the data corresponding to the n first difference data; R 02z represents the middle value of the data corresponding to the m second difference data; Using the brightness compensation coefficient to compensate for brightness values ​​that are not within the preset brightness data range, and obtain the adjusted brightness values; The adjusted brightness value is obtained by the following formula: Among them, X t Indicates the brightness value after adjustment; X0 indicates the brightness value before adjustment; X up and X down Respectively represent the upper limit and lower limit of the preset brightness data range; X b Indicates the brightness standard deviation corresponding to multiple groups of lighting brightness; X p Indicates the average brightness value corresponding to multiple groups of lighting brightness; Compare the adjusted brightness value with the preset brightness data range; Among the adjusted brightness values, brightness values ​​that are not within the preset brightness data range are removed as abnormal data points.

[0031] By presetting the brightness range and number threshold, occasional abnormal data points (such as sensor noise and transient interference) are eliminated to prevent them from affecting the overall detection results.

[0032] For data that exceeds the brightness range but does not exceed the threshold, the difference from the boundary value is calculated and adjusted with the compensation coefficient to make the data closer to the actual lighting level. The brightness standard deviation (X b ) and mean (X p ), so that the compensated value is more consistent with the overall lighting distribution law, and the interference of local anomalies on uniformity assessment is reduced. When the number of anomalies does not exceed the threshold, the anomaly points are directly eliminated to keep the data clean. When the number of anomalies is large, the compensation coefficient is dynamically adjusted to avoid a large amount of data being misjudged as anomalies and lost, thus balancing accuracy and data utilization. The brightness compensation coefficient (S) is dynamically calculated based on the difference distribution between the abnormal data and the boundary value, and can adapt to the abnormal characteristics (such as deviation size and distribution density) in different scenarios. The secondary verification after the compensation adjustment is to perform a range check on the compensated brightness value again to ensure that the data finally used for the evaluation meets the preset standards, further improving the reliability of the uniformity calculation. Through refined threshold comparison and compensation algorithms, the probability of misjudging repairable edge data as anomalies is reduced, making the system's identification of real lighting defects more accurate. Through compensation adjustment, the brightness value of each atmosphere lamp is more concentrated within the preset range, reducing brightness fluctuations and improving visual uniformity. Brightness standard deviation (X b ), a key indicator of uniformity, saw its value decrease after compensation, indicating a more even lighting distribution. After two range checks, the proportion of outliers in the final retained data was significantly reduced, improving the credibility of the test results. This solution can effectively handle brightness fluctuations caused by different lighting conditions, differences in sensor accuracy, or lamp aging, and is suitable for the detection of ambient lighting in different locations on the vehicle. By calculating the compensation coefficient in real time, the system can cope with individual differences between different batches of lamps on the production line, improving detection flexibility. This technical solution significantly improves the accuracy, robustness, and reliability of automotive ambient lighting uniformity detection through layered processing of abnormal data and a dynamic compensation mechanism, providing a more accurate quantitative evaluation method for automotive interior lighting quality control.

[0033] In another embodiment, based on the spatial relationship between the non-uniform lighting area and the layout of the atmosphere lights, a target atmosphere light suitable for eliminating the non-uniform lighting area is determined; and the lighting state of the target atmosphere light is analyzed to determine the lighting change information of the target atmosphere light, including: Based on the layout of the atmosphere lights in the simulated vehicle cabin, all candidate atmosphere lights within the simulated vehicle cabin that meet a preset distance range from the non-uniform lighting area are identified; based on the effective lighting projection areas of all candidate atmosphere lights on the non-uniform lighting area, a target atmosphere light suitable for eliminating the non-uniform lighting area is determined; The allowed range of change of the illumination light output angle of the target atmosphere lamp is obtained, and the action change information of the light output shaping component of the target atmosphere lamp is determined according to the area of ​​the non-uniform illumination region.

[0034] It is understandable that the non-uniform lighting area in the simulated cabin is caused by insufficient lighting, such as the small lighting coverage of the cabin atmosphere lights. In order to make the non-uniform lighting area have a wider range of light illumination, please refer to Figure 3 Each ambient light housing is equipped with a movable light-shaping component. This component can be, but is not limited to, an optical shaping element such as a Fresnel lens or a microlens array. Light emitted from the light guide's light-emitting surface passes through the optical shaping component, causing the beam's cross-section to change. Furthermore, the light-shaping component can adjust its distance from the light guide's light-emitting surface via a telescopic drive component (not shown). As this distance changes, the cross-sectional shape and size of the light beam emitted from the optical shaping component also change, thereby altering the ambient light's illumination angle and actual projection area for non-uniformly illuminated areas. In order to reduce the loss of light projected by atmosphere lamps on non-uniform lighting areas, first, based on the atmosphere lamp layout of the simulated vehicle cabin, all alternative atmosphere lamps that meet the preset distance range between the simulated vehicle cabin and the non-uniform lighting area are identified, that is, all alternative atmosphere lamps whose straight-line distance between the simulated vehicle cabin and the non-uniform lighting area is within the preset lighting distance range are selected; then, based on the effective lighting projection area of ​​all alternative atmosphere lamps on the non-uniform lighting area (that is, the sub-range area in the lighting range formed by the light beam projected by the alternative atmosphere lamp on the non-uniform lighting area, where the light intensity value exceeds the preset light intensity threshold), the alternative atmosphere lamp with the largest effective lighting projection area is selected as the target atmosphere lamp suitable for eliminating the non-uniform lighting area. The allowable range of change in the illumination light output angle that may be caused by the movement of the target atmosphere lamp's own light output shaping component is obtained, and the displacement amount of the light output shaping component of the target atmosphere lamp (i.e., the action change information) is determined in combination with the area of ​​the above-mentioned non-uniform illumination area. It is ensured that after the light output shaping component undergoes the above-mentioned displacement amount, the beam divergence range of the light emitted from the light guide after beam shaping by the above-mentioned light output shaping component can completely cover the area range of the above-mentioned non-uniform illumination area, thereby realizing supplementary illumination of the above-mentioned non-uniform illumination area.

[0035] See also Figure 4 As shown, an embodiment of the present application provides a vehicle atmosphere lamp lighting uniformity detection system. The vehicle atmosphere lamp lighting uniformity detection system includes: A detection point setting module is used to determine the detection points of the simulated vehicle cabin and set the detection parameters of the detection points; Lighting detection data acquisition module, used to obtain lighting detection data of atmosphere lights at all detection points; A non-uniform lighting area determination module is used to construct a global lighting distribution of the simulated vehicle cabin and determine the non-uniform lighting area in the simulated vehicle cabin; The atmosphere light calibration module is used to determine the target atmosphere light suitable for eliminating the non-uniform lighting area based on the spatial relationship between the non-uniform lighting area and the atmosphere light layout; The lighting change determination module is used to analyze the lighting status of the target atmosphere lamp and determine the lighting change information of the target atmosphere lamp.

[0036] In another embodiment, the detection point setting module is used to determine the detection points of the simulated vehicle cabin and set the detection parameters of the detection points, including: Acquire the simulated cabin atmosphere light layout and atmosphere light emission range; wherein the atmosphere light layout refers to the three-dimensional layout of the light emission surfaces of all the atmosphere lights in the simulated cabin; the atmosphere light emission range refers to the spatial angle of light emission of each atmosphere light; Based on the layout and range of the ambient lighting, the overlapping and missing areas of ambient lighting in the simulated vehicle cabin are estimated to determine the detection points in the simulated vehicle cabin. Obtaining the person's line of sight activity information corresponding to the detection point; wherein the person's line of sight activity information includes the range of the person's possible line of sight angle at the detection point in a preset cabin activity scenario; According to the personnel's visual activity information, the scanning detection action space angle range of the detection equipment at the detection point is set.

[0037] In another embodiment, the lighting detection data acquisition module is used to acquire lighting detection data of the atmosphere light at all detection points, including: Obtain multiple sets of lighting brightness detection data for the atmosphere light at each detection point, remove abnormal data points and calculate the mean of the multiple sets of lighting brightness detection data, and obtain the effective lighting brightness detection data for the atmosphere light at each detection point; The non-uniform lighting area determination module is used to construct the global lighting distribution of the simulated cabin and determine the non-uniform lighting areas in the simulated cabin, including: Based on the spatial distribution of the effective lighting brightness detection data of all detection points in the simulated vehicle cabin, the global lighting distribution of the simulated vehicle cabin is constructed; The global illumination distribution is meshed and the average brightness is compared to identify areas of non-uniform illumination within the simulated cabin.

[0038] In another embodiment, removing abnormal data points from the multiple sets of lighting brightness detection data includes: Extracting brightness data obtained from multiple sets of lighting brightness detection corresponding to each atmosphere light; Comparing the brightness data with a preset brightness data range; When the number of illuminations in which the brightness value is not within the preset brightness data range in the multiple sets of illumination brightness does not exceed the preset number threshold, the brightness value not within the preset brightness data range is removed as an abnormal data point; When the number of illuminations in which the brightness value is not within the preset brightness data range appears in the multiple groups of illumination brightnesses exceeds a preset number threshold, each brightness value not within the preset brightness data range is compared with its corresponding nearest brightness data range boundary value, and a difference between each brightness value not within the preset brightness data range and its corresponding nearest brightness data range boundary value is obtained; Compare the difference value with a preset difference threshold; Filtering difference values ​​exceeding a preset difference threshold as first difference data; Filtering difference values ​​that do not exceed a preset difference threshold as second difference data; Obtaining a brightness compensation coefficient using the first difference data and the second difference data; The brightness compensation coefficient is obtained by the following formula: Wherein, S represents the brightness compensation coefficient; n and m represent the first difference data and the second difference data; R 01i Represents the data value corresponding to the i-th first difference data; R 02i Represents the data value corresponding to the i-th second difference data; R 01z Represents the middle value of the data corresponding to the n first difference data; R 02z represents the middle value of the data corresponding to the m second difference data; Using the brightness compensation coefficient to compensate for brightness values ​​that are not within the preset brightness data range, and obtain the adjusted brightness values; The adjusted brightness value is obtained by the following formula: Among them, X t Indicates the brightness value after adjustment; X0 indicates the brightness value before adjustment; X up and X down Respectively represent the upper limit and lower limit of the preset brightness data range; X b Indicates the brightness standard deviation corresponding to multiple groups of lighting brightness; X p Indicates the average brightness value corresponding to multiple groups of lighting brightness; Compare the adjusted brightness value with the preset brightness data range; Among the adjusted brightness values, brightness values ​​that are not within the preset brightness data range are removed as abnormal data points.

[0039] By presetting the brightness range and number threshold, occasional abnormal data points (such as sensor noise and transient interference) are eliminated to prevent them from affecting the overall detection results.

[0040] For data that exceeds the brightness range but does not exceed the threshold, the difference from the boundary value is calculated and adjusted with the compensation coefficient to make the data closer to the actual lighting level. The brightness standard deviation (X b ) and mean (X p ), so that the compensated value is more consistent with the overall lighting distribution law, and the interference of local anomalies on uniformity assessment is reduced. When the number of anomalies does not exceed the threshold, the anomaly points are directly eliminated to keep the data clean. When the number of anomalies is large, the compensation coefficient is dynamically adjusted to avoid a large amount of data being misjudged as anomalies and lost, thus balancing accuracy and data utilization. The brightness compensation coefficient (S) is dynamically calculated based on the difference distribution between the abnormal data and the boundary value, and can adapt to the abnormal characteristics (such as deviation size and distribution density) in different scenarios. The secondary verification after the compensation adjustment is to perform a range check on the compensated brightness value again to ensure that the data finally used for the evaluation meets the preset standards, further improving the reliability of the uniformity calculation. Through refined threshold comparison and compensation algorithms, the probability of misjudging repairable edge data as anomalies is reduced, making the system's identification of real lighting defects more accurate. Through compensation adjustment, the brightness value of each atmosphere lamp is more concentrated within the preset range, reducing brightness fluctuations and improving visual uniformity. Brightness standard deviation (X b ), a key indicator of uniformity, saw its value decrease after compensation, indicating a more even lighting distribution. After two range checks, the proportion of outliers in the final retained data was significantly reduced, improving the credibility of the test results. This solution can effectively handle brightness fluctuations caused by different lighting conditions, differences in sensor accuracy, or lamp aging, and is suitable for the detection of ambient lighting in different locations on the vehicle. By calculating the compensation coefficient in real time, the system can cope with individual differences between different batches of lamps on the production line, improving detection flexibility. This technical solution significantly improves the accuracy, robustness, and reliability of automotive ambient lighting uniformity detection through layered processing of abnormal data and a dynamic compensation mechanism, providing a more accurate quantitative evaluation method for automotive interior lighting quality control.

[0041] In another embodiment, the atmosphere light calibration module is used to determine a target atmosphere light suitable for eliminating the non-uniform illumination area based on the spatial relationship between the non-uniform illumination area and the atmosphere light layout, including: Based on the layout of the atmosphere lights in the simulated vehicle cabin, all candidate atmosphere lights within the simulated vehicle cabin that meet a preset distance range from the non-uniform lighting area are identified; based on the effective lighting projection areas of all candidate atmosphere lights on the non-uniform lighting area, a target atmosphere light suitable for eliminating the non-uniform lighting area is determined; The lighting change determination module is used to analyze the lighting status of the target atmosphere lamp and determine the lighting change information of the target atmosphere lamp, including: The allowed range of change of the illumination light output angle of the target atmosphere lamp is obtained, and the action change information of the light output shaping component of the target atmosphere lamp is determined according to the area of ​​the non-uniform illumination region.

[0042] The operation and effects of the automobile atmosphere lamp lighting uniformity detection system of the present invention correspond to and are consistent with the above-mentioned automobile atmosphere lamp lighting uniformity detection method, and the automobile atmosphere lamp lighting uniformity detection system will not be described again here.

[0043] In general, the automotive atmosphere light lighting uniformity detection method and system determine the detection points of the simulated cabin and set their detection parameters, and realize the visual detection of the simulated human eye light perception in the cabin by setting the detection points; use the lighting detection data of the atmosphere light at all detection points to construct the global lighting distribution of the cabin, determine the non-uniform lighting area therein, and accurately locate the non-uniform lighting spatial distribution formed under the current atmosphere light lighting conditions; combine the spatial relationship between the non-uniform lighting area and the atmosphere light layout to determine the target atmosphere light suitable for eliminating the non-uniform lighting area, and determine the lighting change information of the target atmosphere light, to ensure that the global atmosphere light uniformity lighting detection is implemented for the specific cabin environment during the design stage, and improve the overall lighting quality of the cabin by changing the lighting state of the atmosphere light.

[0044] The above is only a specific embodiment of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the scope of protection of the present invention.

Claims

1. A method for detecting uniformity of automobile atmosphere lamp lighting, characterized in that: include: Determining detection points of the simulated vehicle cabin and setting detection parameters of the detection points; Obtaining illumination detection data of the atmosphere light at all detection points, constructing a global illumination distribution of the simulated vehicle cabin, and determining non-uniform illumination areas within the simulated vehicle cabin; Determining a target atmosphere light suitable for eliminating the non-uniform lighting area based on a spatial relationship between the non-uniform lighting area and the atmosphere light layout; Performing lighting status analysis on the target atmosphere lamp to determine lighting change information of the target atmosphere lamp.

2. The method for detecting uniformity of automotive atmosphere lighting according to claim 1, wherein: Determine the detection points of the simulated vehicle cabin and set the detection parameters of the detection points, including: Acquire the layout of the atmosphere lights in the simulated vehicle cabin and the light emission range of the atmosphere lights; wherein the atmosphere light layout refers to the three-dimensional layout of the light emission surfaces of all the atmosphere lights in the simulated vehicle cabin; and the light emission range refers to the spatial angle of light emission of each of the atmosphere lights; estimating the atmosphere lighting overlap area and the illumination missing area in the simulated vehicle cabin based on the atmosphere lighting layout and the atmosphere lighting emission range, thereby determining the detection points in the simulated vehicle cabin; Obtaining the person's line of sight activity information corresponding to the detection point; wherein the person's line of sight activity information includes the range of the person's possible line of sight angle at the detection point in a preset cabin activity scene; The scanning detection action space angle range of the detection device at the detection point is set according to the personnel line of sight activity information.

3. The method for detecting uniformity of automotive atmosphere lighting according to claim 1, wherein: Acquiring illumination detection data of the atmosphere light at all detection points, constructing a global illumination distribution of the simulated vehicle cabin, and determining non-uniform illumination areas within the simulated vehicle cabin, including: Acquire multiple sets of lighting brightness detection data for each detection point on the atmosphere light, remove abnormal data points and calculate the mean of the multiple sets of lighting brightness detection data, and obtain effective lighting brightness detection data for each detection point on the atmosphere light; Integrate and construct a global illumination distribution of the simulated vehicle cabin based on the spatial distribution of the effective illumination brightness detection data of all detection points within the simulated vehicle cabin; The global illumination distribution is meshed and average brightness is compared to determine the non-uniform illumination area in the simulated vehicle cabin.

4. The method for detecting uniformity of automotive atmosphere lighting according to claim 3, wherein: Eliminating abnormal data points from the multiple sets of lighting brightness detection data includes: Extracting brightness data obtained from multiple sets of lighting brightness detection corresponding to each atmosphere light; Comparing the brightness data with a preset brightness data range; When the number of illuminations in which the brightness value is not within the preset brightness data range in the multiple sets of illumination brightness does not exceed the preset number threshold, the brightness value not within the preset brightness data range is removed as an abnormal data point; When the number of illuminations in which the brightness value is not within the preset brightness data range appears in the multiple groups of illumination brightnesses exceeds a preset number threshold, each brightness value not within the preset brightness data range is compared with its corresponding nearest brightness data range boundary value, and a difference between each brightness value not within the preset brightness data range and its corresponding nearest brightness data range boundary value is obtained; Compare the difference value with a preset difference threshold; Filtering difference values ​​exceeding a preset difference threshold as first difference data; Filtering difference values ​​that do not exceed a preset difference threshold as second difference data; Obtaining a brightness compensation coefficient using the first difference data and the second difference data; The brightness compensation coefficient is obtained by the following formula: Wherein, S represents the brightness compensation coefficient; n and m represent the first difference data and the second difference data; R 01i Represents the data value corresponding to the i-th first difference data; R 02i Represents the data value corresponding to the i-th second difference data; R 01z Represents the middle value of the data corresponding to the n first difference data; R 02z represents the middle value of the data corresponding to the m second difference data; Using the brightness compensation coefficient to compensate for brightness values ​​that are not within the preset brightness data range, and obtain the adjusted brightness values; The adjusted brightness value is obtained by the following formula: Among them, X t Indicates the brightness value after adjustment; X0 indicates the brightness value before adjustment; X up and X down Respectively represent the upper limit and lower limit of the preset brightness data range; X b Indicates the brightness standard deviation corresponding to multiple groups of lighting brightness; X p Indicates the average brightness value corresponding to multiple groups of lighting brightness; Compare the adjusted brightness value with the preset brightness data range; Among the adjusted brightness values, brightness values ​​that are not within the preset brightness data range are removed as abnormal data points.

5. The method for detecting uniformity of automotive atmosphere lighting according to claim 1, wherein: Determining a target atmosphere light suitable for eliminating the non-uniform lighting area based on a spatial relationship between the non-uniform lighting area and the atmosphere light layout; Analyzing the lighting state of the target atmosphere lamp to determine the lighting change information of the target atmosphere lamp includes: identifying, based on the layout of the atmosphere lights in the simulated vehicle cabin, all candidate atmosphere lights within a preset distance range from the non-uniform illumination area; and determining, based on the effective illumination projection areas of all candidate atmosphere lights on the non-uniform illumination area, a target atmosphere light suitable for eliminating the non-uniform illumination area; The allowable change range of the illumination light output angle of the target atmosphere lamp is obtained, and the action change information of the light output shaping component of the target atmosphere lamp is determined according to the area of ​​the non-uniform illumination region.

6. Automobile atmosphere light uniformity detection system, characterized by: include: A detection point setting module, used to determine the detection points of the simulated vehicle cabin and set the detection parameters of the detection points; Lighting detection data acquisition module, used to obtain lighting detection data of atmosphere lights at all detection points; a non-uniform lighting region determination module, configured to construct a global lighting distribution of the simulated vehicle cabin and determine a non-uniform lighting region within the simulated vehicle cabin; An atmosphere light calibration module, configured to determine a target atmosphere light suitable for eliminating the non-uniform illumination area based on a spatial relationship between the non-uniform illumination area and the atmosphere light layout; The lighting change determination module is used to analyze the lighting status of the target atmosphere lamp and determine the lighting change information of the target atmosphere lamp.

7. The automotive atmosphere lamp illumination uniformity detection system according to claim 6, wherein: The detection point setting module is used to determine the detection points of the simulated vehicle cabin and set the detection parameters of the detection points, including: Acquire the layout of the atmosphere lights in the simulated vehicle cabin and the light emission range of the atmosphere lights; wherein the atmosphere light layout refers to the three-dimensional layout of the light emission surfaces of all the atmosphere lights in the simulated vehicle cabin; and the light emission range refers to the spatial angle of light emission of each of the atmosphere lights; estimating the atmosphere lighting overlap area and the illumination missing area in the simulated vehicle cabin based on the atmosphere lighting layout and the atmosphere lighting emission range, thereby determining the detection points in the simulated vehicle cabin; Obtaining the person's line of sight activity information corresponding to the detection point; wherein the person's line of sight activity information includes the range of the person's possible line of sight angle at the detection point in a preset cabin activity scene; The scanning detection action space angle range of the detection device at the detection point is set according to the personnel line of sight activity information.

8. The automotive atmosphere light uniformity detection system according to claim 6, wherein: The lighting detection data acquisition module is used to obtain lighting detection data of the atmosphere light at all detection points, including: Acquire multiple sets of lighting brightness detection data for each detection point on the atmosphere light, remove abnormal data points and calculate the mean of the multiple sets of lighting brightness detection data, and obtain effective lighting brightness detection data for each detection point on the atmosphere light; The non-uniform illumination area determination module is used to construct the global illumination distribution of the simulated vehicle cabin and determine the non-uniform illumination area in the simulated vehicle cabin, including: Integrate and construct a global illumination distribution of the simulated vehicle cabin based on the spatial distribution of the effective illumination brightness detection data of all detection points within the simulated vehicle cabin; The global illumination distribution is meshed and average brightness is compared to determine the non-uniform illumination area in the simulated vehicle cabin.

9. The automotive atmosphere lamp illumination uniformity detection system according to claim 8, wherein: Eliminating abnormal data points from the multiple sets of lighting brightness detection data includes: Extracting brightness data obtained from multiple sets of lighting brightness detection corresponding to each atmosphere light; Comparing the brightness data with a preset brightness data range; When the number of illuminations in which the brightness value is not within the preset brightness data range in the multiple sets of illumination brightness does not exceed the preset number threshold, the brightness value not within the preset brightness data range is removed as an abnormal data point; When the number of illuminations in which the brightness value is not within the preset brightness data range appears in the multiple groups of illumination brightnesses exceeds a preset number threshold, each brightness value not within the preset brightness data range is compared with its corresponding nearest brightness data range boundary value, and a difference between each brightness value not within the preset brightness data range and its corresponding nearest brightness data range boundary value is obtained; Compare the difference value with a preset difference threshold; Filtering difference values ​​exceeding a preset difference threshold as first difference data; Filtering difference values ​​that do not exceed a preset difference threshold as second difference data; Obtaining a brightness compensation coefficient using the first difference data and the second difference data; The brightness compensation coefficient is obtained by the following formula: Wherein, S represents the brightness compensation coefficient; n and m represent the first difference data and the second difference data; R 01i Represents the data value corresponding to the i-th first difference data; R 02i Represents the data value corresponding to the i-th second difference data; R 01z Represents the middle value of the data corresponding to the n first difference data; R 02z represents the middle value of the data corresponding to the m second difference data; Using the brightness compensation coefficient to compensate for brightness values ​​that are not within the preset brightness data range, and obtain the adjusted brightness values; The adjusted brightness value is obtained by the following formula: Among them, X t Indicates the brightness value after adjustment; X0 indicates the brightness value before adjustment; X up and X down Respectively represent the upper limit and lower limit of the preset brightness data range; X b Indicates the brightness standard deviation corresponding to multiple groups of lighting brightness; X p Indicates the average brightness value corresponding to multiple groups of lighting brightness; Compare the adjusted brightness value with the preset brightness data range; Among the adjusted brightness values, brightness values ​​that are not within the preset brightness data range are removed as abnormal data points.

10. The automotive atmosphere lamp illumination uniformity detection system according to claim 6, wherein: The atmosphere light calibration module is used to determine a target atmosphere light suitable for eliminating the non-uniform illumination area according to a spatial relationship between the non-uniform illumination area and the atmosphere light layout, including: identifying, based on the layout of the atmosphere lights in the simulated vehicle cabin, all candidate atmosphere lights within a preset distance range from the non-uniform illumination area; and determining, based on the effective illumination projection areas of all candidate atmosphere lights on the non-uniform illumination area, a target atmosphere light suitable for eliminating the non-uniform illumination area; The lighting change determination module is used to analyze the lighting state of the target atmosphere lamp and determine the lighting change information of the target atmosphere lamp, including: The allowable change range of the illumination light output angle of the target atmosphere lamp is obtained, and the action change information of the light output shaping component of the target atmosphere lamp is determined according to the area of ​​the non-uniform illumination region.

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