A method and system for adjusting illumination distribution of tunnel lamp cluster based on environmental perception
By establishing a three-dimensional model of the tunnel and a light propagation simulation model, combining environmental perception data, adjusting the light distribution of the tunnel, the problems of uneven light and glare in the existing technology are solved, and the driver's field of vision comfort and driving safety are improved.
Patent Information
- Application Number
- CN202410667973.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-28
- Publication Date
- 2025-04-29
- Estimated Expiration
- 2044-05-28
AI Technical Summary
The prior art is difficult to effectively adjust the distribution of tunnel lighting, and lacks real-time response to environmental changes, resulting in uneven light and glare problems, affecting the driver's field of vision and driving safety.
By obtaining the installation location information and basic parameters of the tunnel light cluster, a three-dimensional model of the tunnel is established, and a light propagation simulation model is constructed, light differences are analyzed, visual comfort is evaluated, and light distribution is adjusted based on environmental perception data.
It realizes real-time adjustment of tunnel lighting distribution according to environmental changes, reduce glare, and improves visual comfort and driving safety in the tunnel.
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Figure CN118470179B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of illumination regulation technology, and in particular to a method and system for adjusting illumination distribution of a tunnel lamp cluster based on environment perception. Background Art
[0002] Tunnel lighting distribution adjustment is of great significance in modern traffic management. However, traditional tunnel lighting adjustment methods often lack real-time response to environmental changes, which can easily cause problems such as uneven lighting and glare in the tunnel, affecting the driver's vision and driving safety.
[0003] Although some existing technologies can improve light distribution by adjusting the position and brightness of tunnel light sources, they lack the ability to perceive and respond to environmental changes. In addition, some technologies may ignore the visual comfort requirements of different locations inside the tunnel when adjusting light distribution, resulting in poor results.
[0004] The tunnel lighting distribution adjustment technology based on environmental perception has proposed a solution to these problems. This technology uses environmental perception data to monitor the changes in the environment inside and outside the tunnel in real time, and combines visual comfort assessment to adjust the tunnel lighting distribution according to environmental changes to reduce glare and improve the driver's visual comfort and driving safety.
[0005] However, there is currently a lack of a complete tunnel lighting distribution adjustment method based on environmental perception, which can comprehensively consider the lighting differences inside the tunnel, environmental changes, and the driver's visual comfort needs, realize intelligent adjustment of lighting distribution, and improve the safety and comfort of tunnel driving. Summary of the invention
[0006] In order to solve at least one of the above technical problems, the present invention proposes a method and system for adjusting the illumination distribution of a tunnel lamp cluster based on environment perception.
[0007] A first aspect of the present invention provides a method for adjusting illumination distribution of a tunnel lamp cluster based on environment perception, comprising:
[0008] Obtain the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights, perform modeling operations on the target tunnel, and obtain a three-dimensional model of the target tunnel;
[0009] Constructing a light propagation simulation model according to the target tunnel three-dimensional model, determining light intensity data of each position in the target tunnel according to the light propagation simulation model, performing light difference analysis according to the light intensity data, marking light areas with a difference greater than a preset value, and obtaining light areas to be optimized;
[0010] Performing visual comfort evaluation on the area to be optimized for illumination to obtain visual comfort data of the area to be optimized for illumination;
[0011] Obtain environmental perception data of the target tunnel and light intensity data of each lighting optimization area in the target tunnel that changes with environmental perception, determine the impact of environmental changes on light intensity changes and visual comfort in the target tunnel, and obtain impact data;
[0012] The illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain an illumination adjustment scheme for the tunnel light cluster.
[0013] In this solution, the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights are obtained, and a modeling operation is performed on the target tunnel to obtain a three-dimensional model of the target tunnel, specifically:
[0014] Acquire installation location information of a tunnel light cluster in a target tunnel based on a tunnel plane layout diagram, wherein the installation location information includes installation plane coordinates, installation height, and installation angle of each tunnel light;
[0015] Obtaining basic parameter information of tunnel lights, wherein the basic parameter information includes power, luminous flux, and color temperature;
[0016] Acquire three-dimensional point cloud data inside the tunnel by means of a laser scanning device, and perform a preprocessing operation on the three-dimensional point cloud data, wherein the preprocessing operation includes removing noise points and correcting scanning errors;
[0017] The geometrical features and structural feature data of the tunnel are obtained from the preprocessed three-dimensional point cloud data, the point cloud data are converted into a three-dimensional voxel grid based on the geometrical features and structural feature data, and a three-dimensional model of the target tunnel is constructed according to the three-dimensional voxel grid.
[0018] In this solution, a light propagation simulation model is constructed according to the three-dimensional model of the target tunnel, and the light intensity data of each position in the target tunnel is determined according to the light propagation simulation model. Light difference analysis is performed according to the light intensity data, and the light areas with differences greater than a preset value are marked to obtain the light optimization area, which is specifically:
[0019] Determine the initial illumination direction and intensity of the artificial light source according to the installation location information and the basic parameter information of the tunnel light, and determine the propagation path information of the artificial light source according to the three-dimensional model of the target tunnel, the initial illumination direction, and the reflection law of the illumination;
[0020] Obtaining information about the incident angle and intensity of a natural light source entering the target tunnel and air quality information in the target tunnel, and determining the influence of the light propagation medium on light propagation in the target tunnel according to the air quality information;
[0021] Obtain material information at each position in the three-dimensional model of each target tunnel, and obtain the absorbance of the material at each position;
[0022] Constructing a light propagation simulation model in a three-dimensional model of a target tunnel according to the initial light direction and intensity of the artificial light source, the incident angle and incident intensity information of the natural light source entering the tunnel, the influence on the light propagation, and the light absorption rate of the material at each position in the target tunnel;
[0023] Determine the light intensity data at each position in the target tunnel according to the light propagation simulation model, divide the target tunnel simulation model into N spatial regions, and calculate the average light intensity of each spatial region;
[0024] For each spatial area, calculate the standard deviation of the light intensity data of each spatial area and the spatial areas within the surrounding preset range, and calculate the coefficient of variation of the light intensity data in each spatial area according to the average value of the light intensity and the standard deviation of the light intensity data;
[0025] The illumination difference between spatial areas is evaluated according to the coefficient of variation, an illumination difference threshold of illumination intensity data is set based on the glare definition standard, and spatial areas with illumination difference greater than the illumination difference threshold are marked to obtain glare generating areas, which are used as illumination areas to be optimized.
[0026] In this solution, the visual comfort evaluation of the illumination to be optimized area is performed to obtain the visual comfort data of the illumination to be optimized area, specifically:
[0027] Acquire a traffic passage area in a target tunnel, and acquire a human visual range of traffic participants in the traffic passage area during the passage process;
[0028] A human body is simulated to pass through the target tunnel, and all the areas to be optimized for illumination that enter the human body's visual range during the simulated passage are marked according to the human body's visual range to obtain the analysis area;
[0029] During the simulated passage process, when the analysis area enters the human visual range and is at a preset distance from the human eye, the analysis area is photographed by a high-definition camera to obtain image data of the analysis area observed by the simulated human vision;
[0030] Performing glare brightness and background brightness analysis on the image data by image processing technology, calculating the ratio of the glare brightness to the background brightness, and obtaining the glare index of the artificial light source; if the ratio of the glare brightness to the background brightness is 1, identifying the glare light source in the analysis area as natural glare, obtaining the brightness value of the natural glare and the brightness value of the area at a preset distance from the tunnel entrance, calculating the ratio of the brightness value of the natural glare to the brightness value of the area at the preset distance, and obtaining the glare index of the natural light source;
[0031] The visual comfort of the analysis area is evaluated according to the glare index of the artificial light source and the glare index of the natural light source to obtain visual comfort data of the area to be optimized in terms of illumination.
[0032] In this solution, the environmental perception data of the target tunnel and the illumination intensity data of each illumination optimization area in the target tunnel that changes with environmental perception are obtained, and the impact of environmental changes on the illumination intensity change and visual comfort in the target tunnel are determined to obtain the impact data, which is specifically:
[0033] Acquire environmental perception data of the area where the target tunnel is located based on the environmental perception device, wherein the environmental perception data includes weather perception data and light intensity perception data;
[0034] Correlation analysis is performed between the environmental perception data and changes in illumination intensity of each illumination area to be optimized, to determine whether the illumination intensity of each illumination area to be optimized will change with changes in the environmental perception data, and to mark illumination areas to be optimized that will change with environmental perception to obtain affected areas;
[0035] The environmental perception data and the illumination intensity change area of the impact area are analyzed to determine the impact of environmental changes on the illumination intensity change in the target tunnel, and the change of visual comfort data is calculated according to the illumination intensity change to obtain the impact data.
[0036] In this solution, the illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the impact data to obtain the tunnel light cluster illumination adjustment solution, which is specifically:
[0037] Acquire real-time environmental perception data of the target tunnel, perform real-time visual comfort analysis on the affected area according to the real-time environmental perception data, obtain real-time visual comfort data of the affected area, and determine the adjustment priority of the tunnel light cluster lighting according to the real-time visual comfort data and the visual comfort data of the non-affected area;
[0038] The minimum standard value of light intensity in the tunnel is obtained, and the intensity value and light direction of the tunnel light cluster lighting are analyzed and adjusted according to the real-time comfort data, the visual comfort data of the non-affected area, and the minimum standard value of light intensity to obtain a tunnel light cluster lighting adjustment plan.
[0039] The second aspect of the present invention further provides a tunnel light cluster illumination distribution adjustment system based on environment perception, the system comprising: a memory, a processor, the memory comprising a tunnel light cluster illumination distribution adjustment method program based on environment perception, the tunnel light cluster illumination distribution adjustment method program based on environment perception when executed by the processor, implements the following steps:
[0040] Obtain the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights, perform modeling operations on the target tunnel, and obtain a three-dimensional model of the target tunnel;
[0041] Constructing a light propagation simulation model according to the target tunnel three-dimensional model, determining light intensity data of each position in the target tunnel according to the light propagation simulation model, performing light difference analysis according to the light intensity data, marking light areas with a difference greater than a preset value, and obtaining light areas to be optimized;
[0042] Performing visual comfort evaluation on the area to be optimized for illumination to obtain visual comfort data of the area to be optimized for illumination;
[0043] Obtain environmental perception data of the target tunnel and light intensity data of each lighting optimization area in the target tunnel that changes with environmental perception, determine the impact of environmental changes on light intensity changes and visual comfort in the target tunnel, and obtain impact data;
[0044] The illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain an illumination adjustment scheme for the tunnel light cluster.
[0045] In this solution, the visual comfort evaluation of the illumination to be optimized area is performed to obtain the visual comfort data of the illumination to be optimized area, specifically:
[0046] Acquire a traffic passage area in a target tunnel, and acquire a human visual range of traffic participants in the traffic passage area during the passage process;
[0047] A human body is simulated to pass through the target tunnel, and all the areas to be optimized for illumination that enter the human body's visual range during the simulated passage are marked according to the human body's visual range to obtain the analysis area;
[0048] During the simulated passage process, when the analysis area enters the human visual range and is at a preset distance from the human eye, the analysis area is photographed by a high-definition camera to obtain image data of the analysis area observed by the simulated human vision;
[0049] Performing glare brightness and background brightness analysis on the image data by image processing technology, calculating the ratio of the glare brightness to the background brightness, and obtaining the glare index of the artificial light source; if the ratio of the glare brightness to the background brightness is 1, identifying the glare light source in the analysis area as natural glare, obtaining the brightness value of the natural glare and the brightness value of the area at a preset distance from the tunnel entrance, calculating the ratio of the brightness value of the natural glare to the brightness value of the area at the preset distance, and obtaining the glare index of the natural light source;
[0050] The visual comfort of the analysis area is evaluated according to the glare index of the artificial light source and the glare index of the natural light source to obtain visual comfort data of the area to be optimized in terms of illumination.
[0051] In this solution, the environmental perception data of the target tunnel and the illumination intensity data of each illumination optimization area in the target tunnel that changes with environmental perception are obtained, and the impact of environmental changes on the illumination intensity change and visual comfort in the target tunnel are determined to obtain the impact data, which is specifically:
[0052] Acquire environmental perception data of the area where the target tunnel is located based on the environmental perception device, wherein the environmental perception data includes weather perception data and light intensity perception data;
[0053] Correlation analysis is performed between the environmental perception data and changes in illumination intensity of each illumination area to be optimized, to determine whether the illumination intensity of each illumination area to be optimized will change with changes in the environmental perception data, and to mark illumination areas to be optimized that will change with environmental perception to obtain affected areas;
[0054] The environmental perception data and the illumination intensity change area of the impact area are analyzed to determine the illumination intensity change in the target tunnel caused by the environmental change, and the change in visual comfort is determined according to the illumination intensity change to obtain the impact data.
[0055] In this solution, the illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the impact data to obtain the tunnel light cluster illumination adjustment solution, which is specifically:
[0056] Acquire real-time environmental perception data of the target tunnel, perform real-time visual comfort analysis on the affected area according to the real-time environmental perception data, obtain real-time visual comfort data of the affected area, and determine the adjustment priority of the tunnel light cluster lighting according to the real-time visual comfort data and the visual comfort data of the non-affected area;
[0057] The minimum standard value of light intensity in the tunnel is obtained, and the intensity value and light direction of the tunnel light cluster lighting are analyzed and adjusted according to the real-time comfort data, the visual comfort data of the non-affected area, and the minimum standard value of light intensity to obtain a tunnel light cluster lighting adjustment plan.
[0058] The present invention discloses a method and system for adjusting the lighting distribution of a tunnel light cluster based on environmental perception, which aims to reduce glare in the tunnel. First, a three-dimensional model is obtained by modeling the tunnel. Then, a light propagation simulation model is constructed based on the three-dimensional model, and a light difference analysis is performed to mark the lighting area to be optimized. Next, a visual comfort evaluation is performed on the lighting area to be optimized to obtain its visual comfort data. By obtaining environmental perception data and light intensity data of the area to be optimized, the impact of environmental changes on light intensity and visual comfort is determined. Finally, according to the visual comfort data and the impact data, the lighting distribution of the tunnel light cluster is adjusted to obtain a lighting adjustment scheme. The present invention can adjust the lighting distribution in real time according to environmental changes, reduce glare, improve the visual comfort in the tunnel, and provide a safer and more comfortable environment for tunnel driving. BRIEF DESCRIPTION OF THE DRAWINGS
[0059] Figure 1 A flow chart of a method for adjusting illumination distribution of a tunnel lamp cluster based on environment perception according to the present invention is shown;
[0060] Figure 2 A flow chart of obtaining influence data according to the present invention is shown;
[0061] Figure 3 A flow chart of the present invention for obtaining a tunnel lamp cluster illumination adjustment scheme is shown;
[0062] Figure 4 A block diagram of a tunnel lamp cluster illumination distribution adjustment system based on environment perception according to the present invention is shown. DETAILED DESCRIPTION
[0063] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.
[0064] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.
[0065] Figure 1A flow chart of a method for adjusting illumination distribution of a tunnel lamp cluster based on environment perception according to the present invention is shown.
[0066] like Figure 1 As shown, the first aspect of the present invention provides a method for adjusting illumination distribution of a tunnel lamp cluster based on environment perception, comprising:
[0067] S102, obtaining installation position information of a tunnel light cluster in a target tunnel and basic parameter information of the tunnel lights, performing a modeling operation on the target tunnel, and obtaining a three-dimensional model of the target tunnel;
[0068] S104, constructing a light propagation simulation model according to the target tunnel three-dimensional model, determining light intensity data of each position in the target tunnel according to the light propagation simulation model, performing light difference analysis according to the light intensity data, marking light areas with a difference greater than a preset value, and obtaining light areas to be optimized;
[0069] S106, performing visual comfort evaluation on the area to be optimized for illumination, and obtaining visual comfort data of the area to be optimized for illumination;
[0070] S108, obtaining environmental perception data of the target tunnel and illumination intensity data of each illumination optimization area in the target tunnel that changes with environmental perception, determining the impact of environmental changes on illumination intensity changes and visual comfort in the target tunnel, and obtaining impact data;
[0071] S110, adjusting the illumination distribution of the tunnel light cluster under different environmental conditions according to the visual comfort data and the influence data, and obtaining an illumination adjustment scheme for the tunnel light cluster.
[0072] It should be noted that by modeling the target tunnel and constructing a light propagation simulation model for the target tunnel, there is an uneven lighting problem inside the tunnel. Some areas may have too strong or too weak lighting, which will affect the driver's sight and safety. The propagation of light in the tunnel is simulated to determine the light intensity data for each position; then, a comparative analysis of the light intensity data is performed to mark the areas with large lighting differences; visual comfort is one of the important indicators for evaluating lighting quality. For drivers in the tunnel, a comfortable lighting environment can reduce driving pressure and improve driving safety. Therefore, the human eye's perception of different light intensities is used to evaluate the visual comfort of the area to be optimized, and the impact of environmental perception data on the light intensity in the target tunnel is determined. Finally, the lighting distribution of the tunnel light cluster under different environmental conditions is adjusted to achieve the best lighting effect, reduce the impact of glare on traffic participants, and ensure the safety of traffic participants in the target tunnel.
[0073] According to an embodiment of the present invention, the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights are obtained, and a modeling operation is performed on the target tunnel to obtain a three-dimensional model of the target tunnel, specifically:
[0074] Acquire installation location information of a tunnel light cluster in a target tunnel based on a tunnel plane layout diagram, wherein the installation location information includes installation plane coordinates, installation height, and installation angle of each tunnel light;
[0075] Obtaining basic parameter information of tunnel lights, wherein the basic parameter information includes power, luminous flux, and color temperature;
[0076] Acquire three-dimensional point cloud data inside the tunnel by means of a laser scanning device, and perform a preprocessing operation on the three-dimensional point cloud data, wherein the preprocessing operation includes removing noise points and correcting scanning errors;
[0077] The geometrical features and structural feature data of the tunnel are obtained from the preprocessed three-dimensional point cloud data, the point cloud data are converted into a three-dimensional voxel grid based on the geometrical features and structural feature data, and a three-dimensional model of the target tunnel is constructed according to the three-dimensional voxel grid.
[0078] It should be noted that by converting 3D point cloud data into 3D voxel grids, an efficient representation of the internal space of the tunnel is achieved. Voxel grids can divide continuous space into discrete voxels, which is helpful for subsequent light propagation simulation and analysis, and constructing a 3D model of the target tunnel. This model reflects the real form and structure of the tunnel and provides a reliable basis for light distribution adjustment.
[0079] According to an embodiment of the present invention, the illumination propagation simulation model is constructed according to the three-dimensional model of the target tunnel, the illumination intensity data of each position in the target tunnel is determined according to the illumination propagation simulation model, and the illumination difference analysis is performed according to the illumination intensity data, and the illumination area with a difference greater than a preset value is marked to obtain the illumination area to be optimized, specifically:
[0080] Determine the initial illumination direction and intensity of the artificial light source according to the installation location information and the basic parameter information of the tunnel light, and determine the propagation path information of the artificial light source according to the three-dimensional model of the target tunnel, the initial illumination direction, and the reflection law of the illumination;
[0081] Obtaining information about the incident angle and intensity of a natural light source entering the target tunnel and air quality information in the target tunnel, and determining the influence of the light propagation medium on light propagation in the target tunnel according to the air quality information;
[0082] Obtain material information at each position in the three-dimensional model of each target tunnel, and obtain the absorbance of the material at each position;
[0083] Constructing a light propagation simulation model in a three-dimensional model of a target tunnel according to the initial light direction and intensity of the artificial light source, the incident angle and incident intensity information of the natural light source entering the tunnel, the influence on the light propagation, and the light absorption rate of the material at each position in the target tunnel;
[0084] Determine the light intensity data at each position in the target tunnel according to the light propagation simulation model, divide the target tunnel simulation model into N spatial regions, and calculate the average light intensity of each spatial region;
[0085] For each spatial area, calculate the standard deviation of the light intensity data of each spatial area and the spatial areas within the surrounding preset range, and calculate the coefficient of variation of the light intensity data in each spatial area according to the average value of the light intensity and the standard deviation of the light intensity data;
[0086] The illumination difference between spatial areas is evaluated according to the coefficient of variation, an illumination difference threshold of illumination intensity data is set based on the glare definition standard, and spatial areas with illumination difference greater than the illumination difference threshold are marked to obtain glare generating areas, which are used as illumination areas to be optimized.
[0087] It should be noted that the sources of light in the tunnel include artificial light sources (such as tunnel lights) and natural light sources (such as sunlight entering the tunnel). The propagation of light from these light sources in the tunnel is affected by many factors, such as reflection, refraction, absorption, etc. Therefore, it is necessary to simulate the propagation of light from artificial light sources and natural light sources to understand the propagation path and intensity distribution of light in the tunnel; the air quality in the tunnel may be affected by factors such as vehicle exhaust and emissions, resulting in uneven concentration of particulate matter in the air. This uneven air quality will affect the propagation of light, such as changing the intensity and direction of light through scattering and absorption. Therefore, it is necessary to consider the impact of air quality on light propagation to more accurately simulate the distribution of light; the light intensity data may be different at different locations in the tunnel, and some areas may have glare problems, that is, the light intensity is too high, which may affect the driver's vision and safety. Therefore, it is necessary to perform a difference analysis on the light intensity data and identify the glare-generating area to determine the area where the light needs to be optimized, so as to further improve the driver's vision comfort and safety.
[0088] According to an embodiment of the present invention, the visual comfort evaluation of the illumination to be optimized area is performed to obtain visual comfort data of the illumination to be optimized area, specifically:
[0089] Acquire a traffic passage area in a target tunnel, and acquire a human visual range of traffic participants in the traffic passage area during the passage process;
[0090] A human body is simulated to pass through the target tunnel, and all the areas to be optimized for illumination that enter the human body's visual range during the simulated passage are marked according to the human body's visual range to obtain the analysis area;
[0091] During the simulated passage process, when the analysis area enters the human visual range and is at a preset distance from the human eye, the analysis area is photographed by a high-definition camera to obtain image data of the analysis area observed by the simulated human vision;
[0092] Performing glare brightness and background brightness analysis on the image data by image processing technology, calculating the ratio of the glare brightness to the background brightness, and obtaining the glare index of the artificial light source; if the ratio of the glare brightness to the background brightness is 1, identifying the glare light source in the analysis area as natural glare, obtaining the brightness value of the natural glare and the brightness value of the area at a preset distance from the tunnel entrance, calculating the ratio of the brightness value of the natural glare to the brightness value of the area at the preset distance, and obtaining the glare index of the natural light source;
[0093] The visual comfort of the analysis area is evaluated according to the glare index of the artificial light source and the glare index of the natural light source to obtain visual comfort data of the area to be optimized in terms of illumination.
[0094] It should be noted that by simulating human passage through the target tunnel, the analysis area that affects human vision is determined; by analyzing the glare index of the analysis area within a preset distance within the visual range during the simulated human passage, since there are natural light sources and artificial light sources in the target tunnel, the glare index is calculated for the analysis areas of different light sources, and finally the visual comfort is evaluated. The higher the glare index, the lower the visual comfort; the visual comfort data can help identify areas with glare problems, and provides indicators such as the glare index, making it possible to solve the glare problem in a targeted manner. By adjusting parameters such as the light source position and light source intensity, the glare phenomenon can be reduced and the driver's visual comfort and safety can be improved.
[0095] Figure 2 A flow chart of obtaining influence data according to the present invention is shown.
[0096] According to an embodiment of the present invention, the environmental perception data of the target tunnel and the illumination intensity data of each illumination to be optimized area in the target tunnel changing with environmental perception are obtained, and the influence of environmental changes on the illumination intensity change and visual comfort in the target tunnel are determined to obtain the influence data, specifically:
[0097] S202, acquiring environmental perception data of the area where the target tunnel is located based on the environmental perception device, where the environmental perception data includes weather perception data and light intensity perception data;
[0098] S204, performing correlation analysis between the environmental perception data and changes in illumination intensity of each illumination area to be optimized, determining whether the illumination intensity of each illumination area to be optimized will change with changes in the environmental perception data, marking the illumination area to be optimized that will change with environmental perception, and obtaining an affected area;
[0099] S206, analyzing the environmental perception data and the light intensity change area of the impact area, determining the impact of the environmental change on the light intensity change in the target tunnel, calculating the change of the visual comfort data according to the light intensity change, and obtaining the impact data.
[0100] It should be noted that since environmental changes in the area where the target tunnel is located will cause changes in the light intensity in some areas of the tunnel, the affected areas are marked, and the law of environmental changes in the light intensity in the affected areas is analyzed. By analyzing the changes in light in different areas of the tunnel, the tunnel light cluster can accurately and personalizedly control different areas, thereby maximizing the comfort of traffic passengers during travel and ensuring travel safety in the tunnel.
[0101] Figure 3 The flowchart of the present invention for obtaining the tunnel lamp cluster illumination adjustment scheme is shown.
[0102] According to an embodiment of the present invention, the illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain an illumination adjustment scheme for the tunnel light cluster, specifically:
[0103] S302, acquiring real-time environmental perception data of the target tunnel, performing real-time visual comfort analysis on the affected area according to the real-time environmental perception data, obtaining real-time visual comfort data of the affected area, and determining the adjustment priority of the tunnel light cluster illumination according to the real-time visual comfort data and the visual comfort data of the non-affected area;
[0104] S304, obtaining the minimum standard value of light intensity in the tunnel, analyzing and adjusting the intensity value and light direction of the tunnel light cluster lighting according to the real-time comfort data, the visual comfort data of the non-affected area, and the minimum standard value of light intensity, and obtaining a tunnel light cluster lighting adjustment plan.
[0105] It should be noted that, based on the real-time environmental perception data, real-time visual comfort analysis is performed to evaluate the visual comfort level of each area in the current tunnel and understand whether the lighting distribution in different areas meets people's comfort feeling; the real-time visual comfort data and the visual comfort data of the non-affected area are combined to determine the adjustment priority of the tunnel light cluster lighting, and those areas that have a greater impact on visual comfort can be adjusted first, so as to more effectively improve the visual comfort while ensuring the overall uniform distribution of lighting; according to the real-time comfort data, the visual comfort data of the non-affected area and the minimum standard value of the lighting intensity in the tunnel, the lighting intensity value and lighting direction of the tunnel light cluster are adjusted to ensure that the lighting in the tunnel is evenly distributed under different environmental conditions, improve the driver's comfort in the tunnel, reduce visual fatigue and discomfort, and improve traffic safety; the affected area plus the non-affected area is the lighting area to be optimized in the target tunnel; the lighting adjustment scheme of the tunnel light cluster makes the lighting in the target tunnel evenly distributed and improves the visual comfort of traffic passers-by.
[0106] According to an embodiment of the present invention, it also includes:
[0107] Obtaining actual light intensity change data and tunnel light intensity control parameter change data of each tunnel light in the tunnel light cluster in the target tunnel within a preset time period;
[0108] Aligning the actual light intensity change data with the tunnel light intensity control parameter change data in time series, and drawing a change curve graph of the actual light intensity change data and the tunnel light intensity control parameter change data;
[0109] Calculate the difference between the actual illumination intensity data at each time point and the tunnel light illumination intensity control parameter value according to the change curve diagram to obtain difference change data;
[0110] Determine the light decay degree of the tunnel lamp at different time points according to the difference change data, and obtain light decay degree change data;
[0111] Define a fixed-size window and a window moving step, place the window at the starting point of the light attenuation degree change data, move the window according to the window moving step, calculate the average value of the data in each moving window, and determine the data change trend according to the data average value;
[0112] Predicting the change in the degree of light decay in a future preset time period according to the change trend to obtain prediction data, and calculating the intensity compensation coefficient of the tunnel light intensity control parameter in the future preset time period according to the prediction data to obtain the light intensity control parameter compensation coefficient;
[0113] The tunnel light cluster within a future preset time period is controlled according to the light intensity control parameter compensation coefficient.
[0114] It should be noted that, since the tunnel light intensity will weaken over time during long-term operation, this is called light decay. In the process of tunnel light intensity control device controlling the tunnel light, for example, when the control device controls the tunnel light to output a light intensity of 100 lumens, the light intensity emitted by the tunnel light is lower than 100 lumens, and light decay occurs. By analyzing the change in the light decay degree of the tunnel light within a preset time period, the change trend of the light decay is determined, and then the change in the light decay degree in the future preset time period is predicted. By calculating the light intensity control parameter compensation coefficient for the light decay degree, the tunnel light cluster in the future preset time period is controlled according to the light intensity control parameter compensation coefficient. According to the compensation coefficient, when the control device controls the tunnel light to output a light intensity of 100 lumens, the tunnel light outputs less than 100 lumens of light. The compensation coefficient enables the control device to increase the control parameters so that the actual light intensity emitted by the tunnel light reaches 100 lumens. Through the embodiments of the present invention, the influence of the tunnel light decay phenomenon on the actual light can be avoided, and the ability to cope with light decay can be improved.
[0115] According to an embodiment of the present invention, it also includes:
[0116] Acquire real-time environmental perception data in a preset collection time period, and sort the real-time environmental perception data according to a time series to obtain time series environmental perception data;
[0117] Building an environmental perception prediction model based on the LSTM algorithm, determining the number of layers and the number of units in each layer of the prediction model, and building an input layer, an LSTM layer, and an output layer;
[0118] Importing the time series environmental perception data into the environmental perception prediction model, and optimizing the model parameters by a back propagation algorithm;
[0119] Obtain the environmental perception data of the target tunnel at the current time, predict the environmental perception data of the target tunnel within a certain period of time in the future, and obtain the environmental perception change prediction data;
[0120] Perform a change trend analysis on the environmental perception change prediction data, set an environmental perception data change threshold, and when the change trend in the environmental perception change prediction data is greater than the environmental perception data change threshold, dynamically update the impact area of the light intensity in the target tunnel as the environmental perception data changes.
[0121] It should be noted that the affected area is the area where the light intensity in the target tunnel changes with the change of environmental perception data. Due to the rapid and drastic changes in environmental perception data, for example, the target tunnel was sunny ten minutes ago with high light intensity, and ten minutes later it was overcast and the light intensity decreased. Such changes in environmental perception data will weaken the propagation of light due to the sudden weakening of light intensity, making the area affected by the change of environmental perception data smaller. Therefore, we can reduce the analysis of the affected area and ultimately reduce the number of tunnel lights in the tunnel light cluster that needs to be adjusted, thereby reducing resource consumption. The LSTM (long short-term memory network) algorithm is used to predict the changes in environmental perception data within a certain period of time in the future, and the affected area is dynamically updated according to the prediction results, so that the tunnel lights can be dynamically adjusted to improve the rationality and adaptability of tunnel light adjustment.
[0122] Figure 4 A block diagram of a tunnel lamp cluster illumination distribution adjustment system based on environment perception according to the present invention is shown.
[0123] The second aspect of the present invention further provides a tunnel light cluster illumination distribution adjustment system 4 based on environment perception, the system comprising: a memory 41, a processor 42, the memory comprising a tunnel light cluster illumination distribution adjustment method program based on environment perception, the tunnel light cluster illumination distribution adjustment method program based on environment perception when executed by the processor, implements the following steps:
[0124] Obtain the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights, perform modeling operations on the target tunnel, and obtain a three-dimensional model of the target tunnel;
[0125] Constructing a light propagation simulation model according to the target tunnel three-dimensional model, determining light intensity data of each position in the target tunnel according to the light propagation simulation model, performing light difference analysis according to the light intensity data, marking light areas with a difference greater than a preset value, and obtaining light areas to be optimized;
[0126] Performing visual comfort evaluation on the area to be optimized for illumination to obtain visual comfort data of the area to be optimized for illumination;
[0127] Obtain environmental perception data of the target tunnel and light intensity data of each lighting optimization area in the target tunnel that changes with environmental perception, determine the impact of environmental changes on light intensity changes and visual comfort in the target tunnel, and obtain impact data;
[0128] The illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain an illumination adjustment scheme for the tunnel light cluster.
[0129] According to an embodiment of the present invention, the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights are obtained, and a modeling operation is performed on the target tunnel to obtain a three-dimensional model of the target tunnel, specifically:
[0130] Acquire installation location information of a tunnel light cluster in a target tunnel based on a tunnel plane layout diagram, wherein the installation location information includes installation plane coordinates, installation height, and installation angle of each tunnel light;
[0131] Obtaining basic parameter information of tunnel lights, wherein the basic parameter information includes power, luminous flux, and color temperature;
[0132] Acquire three-dimensional point cloud data inside the tunnel by means of a laser scanning device, and perform a preprocessing operation on the three-dimensional point cloud data, wherein the preprocessing operation includes removing noise points and correcting scanning errors;
[0133] The geometrical features and structural feature data of the tunnel are obtained from the preprocessed three-dimensional point cloud data, the point cloud data are converted into a three-dimensional voxel grid based on the geometrical features and structural feature data, and a three-dimensional model of the target tunnel is constructed according to the three-dimensional voxel grid.
[0134] According to an embodiment of the present invention, the illumination propagation simulation model is constructed according to the three-dimensional model of the target tunnel, the illumination intensity data of each position in the target tunnel is determined according to the illumination propagation simulation model, and the illumination difference analysis is performed according to the illumination intensity data, and the illumination area with a difference greater than a preset value is marked to obtain the illumination area to be optimized, specifically:
[0135] Determine the initial illumination direction and intensity of the artificial light source according to the installation location information and the basic parameter information of the tunnel light, and determine the propagation path information of the artificial light source according to the three-dimensional model of the target tunnel, the initial illumination direction, and the reflection law of the illumination;
[0136] Obtaining information about the incident angle and intensity of a natural light source entering the target tunnel and air quality information in the target tunnel, and determining the influence of the light propagation medium on light propagation in the target tunnel according to the air quality information;
[0137] Obtain material information at each position in the three-dimensional model of each target tunnel, and obtain the absorbance of the material at each position;
[0138] Constructing a light propagation simulation model in a three-dimensional model of a target tunnel according to the initial light direction and intensity of the artificial light source, the incident angle and incident intensity information of the natural light source entering the tunnel, the influence on the light propagation, and the light absorption rate of the material at each position in the target tunnel;
[0139] Determine the light intensity data at each position in the target tunnel according to the light propagation simulation model, divide the target tunnel simulation model into N spatial regions, and calculate the average light intensity of each spatial region;
[0140] For each spatial area, calculate the standard deviation of the light intensity data of each spatial area and the spatial areas within the surrounding preset range, and calculate the coefficient of variation of the light intensity data in each spatial area according to the average value of the light intensity and the standard deviation of the light intensity data;
[0141] The illumination difference between spatial areas is evaluated according to the coefficient of variation, an illumination difference threshold of illumination intensity data is set based on the glare definition standard, and spatial areas with illumination difference greater than the illumination difference threshold are marked to obtain glare generating areas, which are used as illumination areas to be optimized.
[0142] According to an embodiment of the present invention, the visual comfort evaluation of the illumination to be optimized area is performed to obtain visual comfort data of the illumination to be optimized area, specifically:
[0143] Acquire a traffic passage area in a target tunnel, and acquire a human visual range of traffic participants in the traffic passage area during the passage process;
[0144] A human body is simulated to pass through the target tunnel, and all the areas to be optimized for illumination that enter the human body's visual range during the simulated passage are marked according to the human body's visual range to obtain the analysis area;
[0145] During the simulated passage process, when the analysis area enters the human visual range and is at a preset distance from the human eye, the analysis area is photographed by a high-definition camera to obtain image data of the analysis area observed by the simulated human vision;
[0146] Performing glare brightness and background brightness analysis on the image data by image processing technology, calculating the ratio of the glare brightness to the background brightness, and obtaining the glare index of the artificial light source; if the ratio of the glare brightness to the background brightness is 1, identifying the glare light source in the analysis area as natural glare, obtaining the brightness value of the natural glare and the brightness value of the area at a preset distance from the tunnel entrance, calculating the ratio of the brightness value of the natural glare to the brightness value of the area at the preset distance, and obtaining the glare index of the natural light source;
[0147] The visual comfort of the analysis area is evaluated according to the glare index of the artificial light source and the glare index of the natural light source to obtain visual comfort data of the area to be optimized in terms of illumination.
[0148] According to an embodiment of the present invention, the environmental perception data of the target tunnel and the illumination intensity data of each illumination to be optimized area in the target tunnel changing with environmental perception are obtained, and the influence of environmental changes on the illumination intensity change and visual comfort in the target tunnel are determined to obtain the influence data, specifically:
[0149] Acquire environmental perception data of the area where the target tunnel is located based on the environmental perception device, wherein the environmental perception data includes weather perception data and light intensity perception data;
[0150] Correlation analysis is performed between the environmental perception data and changes in illumination intensity of each illumination area to be optimized, to determine whether the illumination intensity of each illumination area to be optimized will change with changes in the environmental perception data, and to mark illumination areas to be optimized that will change with environmental perception to obtain affected areas;
[0151] The environmental perception data and the illumination intensity change area of the impact area are analyzed to determine the impact of environmental changes on the illumination intensity change in the target tunnel, and the change of visual comfort data is calculated according to the illumination intensity change to obtain the impact data.
[0152] According to an embodiment of the present invention, the illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain an illumination adjustment scheme for the tunnel light cluster, specifically:
[0153] Acquire real-time environmental perception data of the target tunnel, perform real-time visual comfort analysis on the affected area according to the real-time environmental perception data, obtain real-time visual comfort data of the affected area, and determine the adjustment priority of the tunnel light cluster lighting according to the real-time visual comfort data and the visual comfort data of the non-affected area;
[0154] The minimum standard value of light intensity in the tunnel is obtained, and the intensity value and light direction of the tunnel light cluster lighting are analyzed and adjusted according to the real-time comfort data, the visual comfort data of the non-affected area, and the minimum standard value of light intensity to obtain a tunnel light cluster lighting adjustment plan.
[0155] The present invention discloses a method and system for adjusting the lighting distribution of a tunnel light cluster based on environmental perception, which aims to reduce glare in the tunnel. First, a three-dimensional model is obtained by modeling the tunnel. Then, a light propagation simulation model is constructed based on the three-dimensional model, and a light difference analysis is performed to mark the lighting area to be optimized. Next, a visual comfort evaluation is performed on the lighting area to be optimized to obtain its visual comfort data. By obtaining environmental perception data and light intensity data of the area to be optimized, the impact of environmental changes on light intensity and visual comfort is determined. Finally, according to the visual comfort data and the impact data, the lighting distribution of the tunnel light cluster is adjusted to obtain a lighting adjustment scheme. The present invention can adjust the lighting distribution in real time according to environmental changes, reduce glare, improve the visual comfort in the tunnel, and provide a safer and more comfortable environment for tunnel driving.
[0156] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.
[0157] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0158] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.
[0159] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.
[0160] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.
[0161] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. A method for adjusting illumination distribution of a tunnel light cluster based on environment perception, characterized in that: The following steps are involved: Obtain the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights, perform modeling operations on the target tunnel, and obtain a three-dimensional model of the target tunnel; Constructing a light propagation simulation model according to the target tunnel three-dimensional model, determining light intensity data of each position in the target tunnel according to the light propagation simulation model, performing light difference analysis according to the light intensity data, marking light areas with a difference greater than a preset value, and obtaining light areas to be optimized; Performing visual comfort evaluation on the area to be optimized for illumination to obtain visual comfort data of the area to be optimized for illumination; Obtain environmental perception data of the target tunnel and light intensity data of each lighting optimization area in the target tunnel that changes with environmental perception, determine the impact of environmental changes on light intensity changes and visual comfort in the target tunnel, and obtain impact data; According to the visual comfort data and the impact data, the illumination distribution of the tunnel light cluster under different environmental conditions is adjusted to obtain an illumination adjustment scheme for the tunnel light cluster; The environmental perception data of the target tunnel and the illumination intensity data of each illumination to be optimized area in the target tunnel changing with environmental perception are obtained, and the influence of environmental changes on the illumination intensity change and visual comfort in the target tunnel are determined to obtain the influence data, specifically: Acquire environmental perception data of the area where the target tunnel is located based on the environmental perception device, wherein the environmental perception data includes weather perception data and light intensity perception data; Correlation analysis is performed between the environmental perception data and changes in illumination intensity of each illumination area to be optimized, to determine whether the illumination intensity of each illumination area to be optimized will change with changes in the environmental perception data, and to mark illumination areas to be optimized that will change with environmental perception to obtain affected areas; Analyze the environmental perception data and the light intensity change area of the affected area to determine the impact of the environmental change on the light intensity change in the target tunnel, calculate the change of visual comfort data according to the light intensity change, and obtain the impact data; The illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain the illumination adjustment scheme of the tunnel light cluster, which is specifically: Acquire real-time environmental perception data of the target tunnel, perform real-time visual comfort analysis on the affected area according to the real-time environmental perception data, obtain real-time visual comfort data of the affected area, and determine the adjustment priority of the tunnel light cluster lighting according to the real-time visual comfort data and the visual comfort data of the non-affected area; The minimum standard value of light intensity in the tunnel is obtained, and the intensity value and light direction of the tunnel light cluster lighting are analyzed and adjusted according to the real-time visual comfort data, the visual comfort data of the non-affected area, and the minimum standard value of light intensity to obtain a tunnel light cluster lighting adjustment plan.
2. According to the method for adjusting illumination distribution of a tunnel light cluster based on environment perception in claim 1, it is characterized in that: The installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights are obtained, and a modeling operation is performed on the target tunnel to obtain a three-dimensional model of the target tunnel, specifically: Acquire installation location information of a tunnel light cluster in a target tunnel based on a tunnel plane layout diagram, wherein the installation location information includes installation plane coordinates, installation height, and installation angle of each tunnel light; Obtaining basic parameter information of tunnel lights, wherein the basic parameter information includes power, luminous flux, and color temperature; Acquire three-dimensional point cloud data inside the tunnel by means of a laser scanning device, and perform a preprocessing operation on the three-dimensional point cloud data, wherein the preprocessing operation includes removing noise points and correcting scanning errors; The geometrical features and structural feature data of the tunnel are obtained from the preprocessed three-dimensional point cloud data, the point cloud data are converted into a three-dimensional voxel grid based on the geometrical features and structural feature data, and a three-dimensional model of the target tunnel is constructed according to the three-dimensional voxel grid.
3. The method for adjusting illumination distribution of a tunnel light cluster based on environment perception according to claim 1, characterized in that: The light propagation simulation model is constructed according to the target tunnel three-dimensional model, the light intensity data of each position in the target tunnel is determined according to the light propagation simulation model, and the light difference analysis is performed according to the light intensity data, and the light area with a difference greater than a preset value is marked to obtain the light optimization area, specifically: Determine the initial illumination direction and intensity of the artificial light source according to the installation location information and the basic parameter information of the tunnel light, and determine the propagation path information of the artificial light source according to the three-dimensional model of the target tunnel, the initial illumination direction, and the reflection law of the illumination; Obtaining information about the incident angle and intensity of a natural light source entering the target tunnel and air quality information in the target tunnel, and determining the influence of the light propagation medium on light propagation in the target tunnel according to the air quality information; Obtain material information at each position in the three-dimensional model of each target tunnel, and obtain the absorbance of the material at each position; Constructing a light propagation simulation model in a three-dimensional model of a target tunnel according to the initial light direction and intensity of the artificial light source, the incident angle and incident intensity information of the natural light source entering the tunnel, the influence on the light propagation, and the light absorption rate of the material at each position in the target tunnel; Determine the light intensity data at each position in the target tunnel according to the light propagation simulation model, divide the target tunnel simulation model into N spatial regions, and calculate the average light intensity of each spatial region; For each spatial area, calculate the standard deviation of the light intensity data of each spatial area and the spatial areas within the surrounding preset range, and calculate the coefficient of variation of the light intensity data in each spatial area according to the average value of the light intensity and the standard deviation of the light intensity data; The illumination difference between spatial areas is evaluated according to the coefficient of variation, an illumination difference threshold of illumination intensity data is set based on the glare definition standard, and spatial areas with illumination difference greater than the illumination difference threshold are marked to obtain glare generating areas, which are used as illumination areas to be optimized.
4. The method for adjusting illumination distribution of a tunnel light cluster based on environment perception according to claim 1, characterized in that: The visual comfort evaluation of the illumination to be optimized area is performed to obtain visual comfort data of the illumination to be optimized area, specifically: Acquire a traffic passage area in a target tunnel, and acquire a human visual range of traffic participants in the traffic passage area during the passage process; A human body is simulated to pass through the target tunnel, and all the areas to be optimized for illumination that enter the human body's visual range during the simulated passage are marked according to the human body's visual range to obtain the analysis area; During the simulated passage process, when the analysis area enters the human visual range and is at a preset distance from the human eye, the analysis area is photographed by a high-definition camera to obtain image data of the analysis area observed by the simulated human vision; Performing glare brightness and background brightness analysis on the image data by image processing technology, calculating the ratio of the glare brightness to the background brightness, and obtaining the glare index of the artificial light source; if the ratio of the glare brightness to the background brightness is 1, identifying the glare light source in the analysis area as natural glare, obtaining the brightness value of the natural glare and the brightness value of the area at a preset distance from the tunnel entrance, calculating the ratio of the brightness value of the natural glare to the brightness value of the area at the preset distance, and obtaining the glare index of the natural light source; The visual comfort of the analysis area is evaluated according to the glare index of the artificial light source and the glare index of the natural light source to obtain visual comfort data of the area to be optimized in terms of illumination.
5. A tunnel lamp cluster illumination distribution adjustment system based on environment perception, characterized in that: The tunnel light cluster illumination distribution adjustment system based on environment perception includes a storage and a processor, wherein the storage includes a tunnel light cluster illumination distribution adjustment method program based on environment perception, and when the tunnel light cluster illumination distribution adjustment method program based on environment perception is executed by the processor, the following steps are implemented: Obtain the installation location information of the tunnel light cluster in the target tunnel and the basic parameter information of the tunnel lights, perform modeling operations on the target tunnel, and obtain a three-dimensional model of the target tunnel; Constructing a light propagation simulation model according to the target tunnel three-dimensional model, determining light intensity data of each position in the target tunnel according to the light propagation simulation model, performing light difference analysis according to the light intensity data, marking light areas with a difference greater than a preset value, and obtaining light areas to be optimized; Performing visual comfort evaluation on the area to be optimized for illumination to obtain visual comfort data of the area to be optimized for illumination; Obtain environmental perception data of the target tunnel and light intensity data of each lighting optimization area in the target tunnel that changes with environmental perception, determine the impact of environmental changes on light intensity changes and visual comfort in the target tunnel, and obtain impact data; According to the visual comfort data and the impact data, the illumination distribution of the tunnel light cluster under different environmental conditions is adjusted to obtain an illumination adjustment scheme for the tunnel light cluster; The environmental perception data of the target tunnel and the illumination intensity data of each illumination to be optimized area in the target tunnel changing with environmental perception are obtained, and the influence of environmental changes on the illumination intensity change and visual comfort in the target tunnel are determined to obtain the influence data, specifically: Acquire environmental perception data of the area where the target tunnel is located based on the environmental perception device, wherein the environmental perception data includes weather perception data and light intensity perception data; Correlation analysis is performed between the environmental perception data and changes in illumination intensity of each illumination area to be optimized, to determine whether the illumination intensity of each illumination area to be optimized will change with changes in the environmental perception data, and to mark illumination areas to be optimized that will change with environmental perception to obtain affected areas; Analyze the environmental perception data and the light intensity change area of the affected area to determine the impact of the environmental change on the light intensity change in the target tunnel, calculate the change of visual comfort data according to the light intensity change, and obtain the impact data; The illumination distribution of the tunnel light cluster under different environmental conditions is adjusted according to the visual comfort data and the influence data to obtain the illumination adjustment scheme of the tunnel light cluster, which is specifically: Acquire real-time environmental perception data of the target tunnel, perform real-time visual comfort analysis on the affected area according to the real-time environmental perception data, obtain real-time visual comfort data of the affected area, and determine the adjustment priority of the tunnel light cluster lighting according to the real-time visual comfort data and the visual comfort data of the non-affected area; The minimum standard value of light intensity in the tunnel is obtained, and the intensity value and light direction of the tunnel light cluster lighting are analyzed and adjusted according to the real-time visual comfort data, the visual comfort data of the non-affected area, and the minimum standard value of light intensity to obtain a tunnel light cluster lighting adjustment plan.
6. The tunnel light cluster illumination distribution adjustment system based on environment perception according to claim 5 is characterized in that: The visual comfort evaluation of the illumination to be optimized area is performed to obtain visual comfort data of the illumination to be optimized area, specifically: Acquire a traffic passage area in a target tunnel, and acquire a human visual range of traffic participants in the traffic passage area during the passage process; A human body is simulated to pass through the target tunnel, and all the areas to be optimized for illumination that enter the human body's visual range during the simulated passage are marked according to the human body's visual range to obtain the analysis area; During the simulated passage process, when the analysis area enters the human visual range and is at a preset distance from the human eye, the analysis area is photographed by a high-definition camera to obtain image data of the analysis area observed by the simulated human vision; Performing glare brightness and background brightness analysis on the image data by image processing technology, calculating the ratio of the glare brightness to the background brightness, and obtaining the glare index of the artificial light source; if the ratio of the glare brightness to the background brightness is 1, identifying the glare light source in the analysis area as natural glare, obtaining the brightness value of the natural glare and the brightness value of the area at a preset distance from the tunnel entrance, calculating the ratio of the brightness value of the natural glare to the brightness value of the area at the preset distance, and obtaining the glare index of the natural light source; The visual comfort of the analysis area is evaluated according to the glare index of the artificial light source and the glare index of the natural light source to obtain visual comfort data of the area to be optimized in terms of illumination.
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