Intelligent illumination control method and system combined with exhibit characteristics

Abstract

The invention relates to the technical field of illumination control, and particularly discloses an intelligent illumination control method and system in combination with exhibit characteristics, and the method comprises the steps: determining the ultraviolet sensitivity level and illumination limiting conditions of an exhibit based on the material of the exhibit; determining a lighting atmosphere parameter range of the exhibit based on the historical background of the exhibit; generating a brightness distribution scheme of the LED matrix based on the three-dimensional digital model of the exhibit and the core display area, and generating a color temperature distribution scheme of the LED matrix based on the color space database of the exhibit and a color temperature complementation strategy; generating a basic static illumination strategy of the exhibit based on the ultraviolet sensitivity grade, the illumination limiting condition and the illumination atmosphere parameter range of the exhibit, and the brightness distribution scheme and the color temperature distribution scheme of the LED matrix, and generating a scenarized dynamic linkage illumination strategy of the exhibit in combination with the real-time people flow dynamic information and the scene tense near the exhibit; and intelligent illumination control is carried out based on a scenarized dynamic linkage illumination strategy, so that the display effect of the exhibit is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting control, and particularly to an intelligent lighting control method and system combined with the characteristics of exhibits. Background Art

[0002] In exhibition places such as museums and exhibition halls, lighting design plays a crucial role in the presentation effect of exhibits. Appropriate lighting can not only highlight the characteristics and value of exhibits, but also create a suitable viewing atmosphere and enhance the experience of visitors. With the improvement of people's demand for cultural and artistic appreciation, the traditional single and fixed lighting method can no longer meet the diverse needs of modern exhibitions. The intelligent lighting control method and system combined with the characteristics of exhibits emerge as the times require and are of great significance. It can customize lighting solutions according to the unique characteristics of exhibits, such as the material, historical background, color, etc., and precisely display the charm of exhibits. By simulating the optimal light projection angle, reasonably distributing the brightness and color temperature, the exhibits can achieve the best visual presentation effect. At the same time, by combining the dynamic information of people flow and the scene time state to achieve dynamic linkage lighting, it can bring a more immersive and interactive experience to visitors. This technology conforms to the trend of intelligent and personalized development in the exhibition industry, helps to enhance the attractiveness of exhibition places and the effect of cultural dissemination, and has broad application prospects in the field of cultural exhibitions.

[0003] However, the existing lighting control technologies have many deficiencies. They cannot formulate lighting strategies according to the material of exhibits to protect the exhibits. Since the historical background of exhibits is related to the lighting atmosphere and reasonable lighting brightness and color temperature distribution can better display the three-dimensional appearance, color characteristics and the parts to be highlighted of exhibits, but the existing lighting schemes are not comprehensive enough when generated and are not perfect, and they cannot be dynamically linked with the scene, and finally it is difficult to achieve precise and intelligent lighting control of exhibits, affecting the display effect of exhibits.

[0004] Therefore, the present invention proposes an intelligent lighting control method and system combined with the characteristics of exhibits. Summary of the Invention

[0005] The present invention provides an intelligent lighting control method and system combined with the characteristics of exhibits. The method can effectively protect the exhibits by determining the ultraviolet sensitivity level and lighting restriction conditions based on the exhibit materials. At the same time, the lighting atmosphere parameter range is determined according to the historical background of the exhibits, so that the lighting conforms to the connotation of the exhibits in terms of atmosphere. The display effect is optimized from multiple aspects such as the light projection angle, brightness and color temperature, highlighting the core display area of the exhibits. Through scientific light application, the details and characteristics of the exhibits are presented in all directions, making the exhibits more visually attractive. The generation of the basic static lighting strategy comprehensively considers various characteristics of the exhibits, ensuring that the lighting can achieve a balance between protecting the exhibits and good display effects in the static state. According to the real-time pedestrian flow dynamic information and scene time state near the exhibits, a scene-based dynamic linkage lighting strategy is generated, enabling the lighting to be dynamically adjusted according to the scene changes. The preset lighting scheme is accurately implemented to obtain the intelligent lighting control result, improving the efficiency and accuracy of lighting control, without frequent manual intervention, reducing labor costs while enhancing the display effect, and providing an intelligent, convenient and efficient lighting solution for the exhibition.

[0006] The present invention provides an intelligent lighting control method combined with the characteristics of exhibits, including:

[0007] S1: Determine the ultraviolet sensitivity level and lighting restriction conditions of the exhibits based on the exhibit materials;

[0008] S2: Retrieve the preset lighting style library based on the historical background of the exhibits to determine the lighting atmosphere parameter range of the exhibits;

[0009] S3: Simulate the optimal light projection angle based on the three-dimensional digital model and core display area of the exhibits to generate the brightness distribution scheme of the LED matrix. At the same time, based on the color space database of the exhibits and the color temperature complementary strategy, generate the color temperature distribution scheme of the LED matrix;

[0010] S4: Generate the basic static lighting strategy of the exhibits based on the ultraviolet sensitivity level, lighting restriction conditions, lighting atmosphere parameter range, brightness distribution scheme and color temperature distribution scheme of the LED matrix of the exhibits;

[0011] S5: Generate the scene-based dynamic linkage lighting strategy of the exhibits based on the real-time pedestrian flow dynamic information and scene time state near the exhibits and the basic static lighting strategy;

[0012] S6: Perform intelligent lighting control on the LED matrix based on the scene-based dynamic linkage lighting strategy to obtain the intelligent lighting control result.

[0013] Optionally, S1: Determine the ultraviolet sensitivity level and lighting restriction conditions of the exhibits based on the exhibit materials, including:

[0014] Perform spectral scanning on the surface of the exhibit using an optical fiber spectrometer to obtain the reflection spectral curve, and determine the ultraviolet absorption distribution characteristics of the exhibit surface based on the reflection spectral curve, where the ultraviolet absorption distribution characteristics include the positions and absorption intensities of the ultraviolet absorption peaks in the reflection spectral curves at various locations on the exhibit surface;

[0015] Obtain the color coordinate distribution data of the exhibit surface;

[0016] Input the ultraviolet absorption distribution characteristics and color coordinate distribution data of the exhibit surface into the exhibit material sensitivity level definition model to obtain all the material types on the exhibit surface, the distribution coordinates, ultraviolet sensitivity levels, and core sensitive factors of each material;

[0017] Determine the ultraviolet sensitivity level of the exhibit based on the distribution coordinates and ultraviolet sensitivity levels of all the material types on the exhibit surface;

[0018] Retrieve the multi-dimensional limit parameter table based on all the material types on the exhibit surface and the ultraviolet sensitivity levels and core sensitive factors of each material to determine the multi-dimensional limit parameters of each material;

[0019] Perform an intersection operation on the multi-dimensional limit parameters of all the material types on the exhibit surface to obtain the lighting limit conditions of the exhibit.

[0020] Optionally, determining the ultraviolet sensitivity level of the exhibit based on the distribution coordinates and ultraviolet sensitivity levels of all the material types on the exhibit surface includes:

[0021] Determine the distribution area of each material based on the distribution coordinates of each material on the exhibit surface;

[0022] Take the ratio of the distribution area of each material to the sum of the distribution areas of all materials as the weight of each material on the exhibit surface;

[0023] Perform weighted summation of the ultraviolet sensitivity levels of all the material types on the exhibit surface based on the weights of all the material types on the exhibit surface to obtain the ultraviolet sensitivity level of the exhibit.

[0024] Optionally, simulating the optimal light projection angle based on the three-dimensional digital model of the exhibit and the core display area to generate the brightness distribution scheme of the LED matrix, including:

[0025] Use a 3D camera to scan the contour of the exhibit, combine with a color sensor to obtain the chromaticity distribution data of the exhibit surface, establish the three-dimensional digital model of the exhibit and the color space database, and mark the core display area in the three-dimensional digital model of the exhibit;

[0026] Based on the coordinate representation of the contour of the core display area in the preset three-dimensional coordinate system, determine the coordinate representation in the preset three-dimensional coordinate system of at least one plane that does not intersect with all the coordinate points except the contour points in the core display area and intersects with at least two non-adjacent contour points of the core display area;

[0027] Based on the coordinate representation of the exhibit in the preset coordinate system and the coordinate representation of each plane in the preset three-dimensional coordinate system, mark the intersection contour of the exhibit and the plane;

[0028] Based on the coordinate representation of the core display area in the preset three-dimensional coordinate system and the coordinate representation of each plane in the preset three-dimensional coordinate system, calculate the distance between each point in the core display area and each point within the intersection contour range on each plane, and select the maximum distance among all the distances of each plane as the reference distance for each plane;

[0029] Select the plane with the minimum reference distance among all the planes as the reference plane of the core display area;

[0030] Regard the angle perpendicular to the participating plane as the optimal light projection angle;

[0031] Based on the three-dimensional digital model of the exhibit and the optimal light projection angle, determine the optimal light projection position, and based on the optimal light projection position, determine the brightness distribution scheme of the LED matrix.

[0032] Optionally, based on the three-dimensional digital model of the exhibit and the optimal light projection angle, determining the optimal light projection position includes:

[0033] Mark the outermost protruding points on the surface of the exhibit in the three-dimensional digital model of the exhibit, and determine the connection lines between the pairwise outermost protruding points within the core display area as the limit light projection reference lines;

[0034] Determine the intersection points of the pairwise limit light projection reference lines on the light projection side of the reference plane of the core display area as the limit light source line intersection points;

[0035] Regard the point in the core display area that is farthest from the reference plane as the highest point of the core display area, and regard the straight line passing through the highest point and perpendicular to the reference plane as the simulated light source center line. Among the projection points of all the limit light source line intersection points on the simulated light source center line, select the projection point position that is farthest from the reference plane as the lowest light projection position of the point light source;

[0036] Based on the exhibition space data of the exhibit, the size distribution data of the LED matrix, the simulated light source center line, and the lowest light projection position of the point light source, determine the optimal light projection position of the LED matrix.

[0037] Optionally, determining the brightness distribution scheme of the LED matrix based on the optimal light projection position includes:

[0038] Based on the optimal light projection positions of the LED matrix, all the intersection points between all the limit light projection reference lines and the LED matrix plane are determined, and the local area of the LED matrix enclosed by all the intersection points between all the limit light projection reference lines and the LED matrix plane in the LED matrix plane is regarded as the main light area of the LED matrix;

[0039] Based on the lowest light projection position of the point light source and the preset positive and backlight area allocation ratio, the positive light area and the backlight area are marked in the three-dimensional digital model of the exhibit, and a brightness allocation scheme for the LED matrix is determined based on the coordinate representations of the positive light area, the backlight area, and the main light area of the LED matrix in the preset three-dimensional coordinate system.

[0040] Optionally, based on the color space database of the exhibit and the color temperature complementary strategy, a color temperature allocation scheme for the LED matrix is generated, including:

[0041] Based on the optimal light projection positions of the LED matrix, the light projection range of each LED lamp in the LED matrix on the surface of the exhibit is determined;

[0042] Based on the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, the color space database of the exhibit, and the color temperature complementary strategy, a color temperature allocation scheme for the LED matrix is generated.

[0043] Optionally, based on the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, the color space database of the exhibit, and the color temperature complementary strategy, a color temperature allocation scheme for the LED matrix is generated, including:

[0044] Based on the color space database of the exhibit, the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit is determined;

[0045] Based on the types and distribution areas of all the main color tones in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, the complementary scales of all the main color tones in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit are determined;

[0046] Based on the color difference between the main color tones of adjacent distribution areas in the distribution areas of all the main color tones in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, and based on the color difference, the cross-color softness of the corresponding adjacent distribution areas is determined;

[0047] Based on the complementary scale of all the main color tones in the local color space data within the light projection range of each LED lamp in the LED matrix on the exhibit surface, the cross-color softness with all corresponding adjacent distribution regions, and the local color space data within the light projection range of each LED lamp in the LED matrix on the exhibit surface, calculate the complementary color temperature value of each non-boundary pixel point and the complementary color temperature value of each boundary pixel point within the distribution region of each main color tone within the light projection range of each LED lamp in the LED matrix on the exhibit surface;

[0048] Take the average value of the complementary color temperature values of all non-boundary pixel points and all boundary pixel points within the distribution regions of all the main color tones within the light projection range of each LED lamp in the LED matrix as the color temperature value of the corresponding LED lamp in the LED matrix, and obtain the color temperature allocation scheme of the LED matrix.

[0049] Optionally, S5: Generate a scene-based dynamic linkage lighting strategy for the exhibit based on the real-time human flow dynamic information, scene time state, and basic static lighting strategy near the exhibit, including:

[0050] Analyze the audience distribution characteristics of the exhibit based on the real-time human flow dynamic information near the exhibit, where the audience distribution characteristics include audience distribution density, maximum audience distance, and minimum audience distance;

[0051] Generate scene-based dynamic adjustment parameters for the lighting parameters of the LED matrix based on the audience distribution characteristics and scene time state of the exhibit;

[0052] Generate a scene-based dynamic linkage lighting strategy for the exhibit based on the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix and the basic static lighting strategy.

[0053] The present invention provides an intelligent lighting control system combined with exhibit characteristics, including:

[0054] A material characteristic analysis module for determining the UV sensitivity level and lighting limit conditions of the exhibit based on the exhibit material;

[0055] A historical background characteristic analysis module for retrieving a preset lighting style library based on the exhibit historical background and determining the range of lighting atmosphere parameters of the exhibit;

[0056] An appearance characteristic analysis module for simulating the optimal light projection angle based on the three-dimensional digital model and core display area of the exhibit to generate a brightness allocation scheme for the LED matrix, and at the same time, generating a color temperature allocation scheme for the LED matrix based on the color space database and color temperature complementary strategy of the exhibit;

[0057] A static lighting strategy generation module, which is used to generate a basic static lighting strategy for the exhibit based on the ultraviolet sensitivity level of the exhibit, lighting restriction conditions, lighting atmosphere parameter range, brightness allocation scheme and color temperature allocation scheme of the LED matrix;

[0058] A dynamic lighting strategy generation module, which is used to generate a scene-based dynamic linkage lighting strategy for the exhibit based on the real-time human flow dynamic information and scene tense near the exhibit and the basic static lighting strategy;

[0059] An intelligent lighting control module, which is used to perform intelligent lighting control on the LED matrix based on the scene-based dynamic linkage lighting strategy to obtain an intelligent lighting control result.

[0060] The beneficial effects of the present invention compared with the prior art are as follows: By determining the ultraviolet sensitivity level and lighting restriction conditions based on the exhibit material, it can effectively protect the exhibit, avoid damage caused by improper ultraviolet rays or lighting, and ensure the long-term intact display of the exhibit. At the same time, the lighting atmosphere parameter range is determined based on the historical background of the exhibit, so that the lighting conforms to the connotation of the exhibit in terms of atmosphere, enabling visitors to better feel the cultural information carried by the exhibit and enhancing the exhibition experience. The optimal light projection angle is simulated using the three-dimensional digital model of the exhibit and a brightness allocation scheme is generated. Combining with the color space database and the color temperature complementary strategy, a color temperature allocation scheme is generated to optimize the display effect from multiple aspects such as light projection angle, brightness and color temperature, highlighting the core display area of the exhibit. Through scientific light application, the details and characteristics of the exhibit are presented in all directions, making the exhibit more visually attractive. A basic static lighting strategy is generated by integrating the ultraviolet sensitivity level, lighting restriction conditions, lighting atmosphere parameter range, brightness and color temperature allocation scheme. This strategy comprehensively considers various characteristics of the exhibit and lays a solid foundation for the subsequent dynamic lighting strategy, ensuring that the lighting can achieve a balance between protecting the exhibit and good display effect when static. According to the real-time human flow dynamic information and scene tense near the exhibit, a scene-based dynamic linkage lighting strategy is generated in combination with the basic static lighting strategy, enabling the lighting to be dynamically adjusted according to the scene changes. For example, when there are many people, the lighting is enhanced to highlight the exhibit, and different lighting atmospheres are adopted at different times. This dynamic change can not only attract the attention of visitors, but also create a unique visiting atmosphere, enhancing the interest and interactivity of the exhibition. Intelligent lighting control is performed on the LED matrix based on the scene-based dynamic linkage lighting strategy to accurately implement the preset lighting scheme and obtain an intelligent lighting control result, improving the efficiency and accuracy of lighting control, without frequent manual intervention, reducing labor costs while enhancing the display effect, and providing an intelligent, convenient and efficient lighting solution for the exhibition.

[0061] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0062] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0063] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, but do not constitute a limitation to the present invention. In the accompanying drawings:

[0064] Figure 1 is a flowchart of the intelligent lighting control method combining exhibit features in an embodiment of the present invention;

[0065] Figure 2 is a flowchart of the generation process of the brightness allocation scheme of the LED matrix in an embodiment of the present invention. Detailed Embodiments

[0066] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0067] Reference Figure 1 , the present invention provides an implementation manner of an intelligent lighting control method combining exhibit features, including:

[0068] S1: Determine the ultraviolet sensitivity level and lighting limit conditions of the exhibit based on the exhibit material;

[0069] Among them, the exhibit material: refers to the material that constitutes the exhibit (metal / ceramic / fabric / painting, etc.). Different materials have different sensitivities to ultraviolet rays and suitable lighting conditions. For example, paper exhibits may be more sensitive to ultraviolet rays than metal exhibits;

[0070] The ultraviolet sensitivity level of the exhibit: The level divided according to the sensitivity of the exhibit material to ultraviolet rays, used to measure the risk of the exhibit being affected by ultraviolet rays. It is determined by means of spectral scanning of the exhibit surface, etc. For example, it is divided into three levels: high, medium, and low. The high sensitivity level indicates that the exhibit is easily damaged by ultraviolet rays;

[0071] The lighting limit conditions: The limit requirements for the lighting of the exhibit determined based on the characteristics of the exhibit material. For example, restricting the ultraviolet irradiation intensity, lighting duration, etc. For example, the ultraviolet rays of oil paintings need to be ≤50 lux, and the ultraviolet rays of ancient books need to be ≤20 lux to protect the exhibits and avoid damage caused by improper lighting;

[0072] S2: Retrieve the preset lighting style library based on the exhibit historical background to determine the range of lighting atmosphere parameters of the exhibit;

[0073] Among them, the historical background of the exhibit: includes information such as the era, cultural background, and uses of the exhibit, and these factors affect the suitable lighting atmosphere for the exhibit. For example, ancient calligraphy and paintings may be suitable for creating a simple and gentle lighting atmosphere;

[0074] Preset lighting style library: A pre-established database containing various lighting styles and related parameters, and each style corresponds to specific lighting atmosphere parameters. For example, there are different lighting parameter sets for classical style, modern style, etc.;

[0075] The lighting atmosphere parameter range of the exhibit: Retrieve the lighting parameter interval suitable for the exhibit from the preset lighting style library according to the historical background of the exhibit, such as the brightness range, color tone, etc., for creating an atmosphere that fits the historical connotation of the exhibit;

[0076] S3: Based on the three-dimensional digital model of the exhibit and the core display area, simulate the optimal light projection angle, generate the brightness distribution plan of the LED matrix, and at the same time, based on the color space database of the exhibit and the color temperature complementary strategy, generate the color temperature distribution plan of the LED matrix;

[0077] Among them, the three-dimensional digital model of the exhibit: A digital three-dimensional model of the exhibit constructed by means of scanning the outline of the exhibit with a 3D camera, etc., which can accurately present the shape and structure of the exhibit and provide a basis for simulating the light projection angle;

[0078] Core display area: The part on the exhibit that needs to be highlighted for display, such as the inscription area on cultural relics, the key figure part in a painting, etc. Determining the core display area helps to conduct targeted lighting design;

[0079] Optimal light projection angle: Obtained by analyzing and simulating the core display area, it is the light projection angle that can make the core display area of the exhibit achieve the best visual effect, and it is represented by a preset three-dimensional coordinate system. For example, for a sculpture, projecting light from a certain angle can better show its three-dimensional sense and details;

[0080] Brightness distribution plan of the LED matrix: According to the optimal light projection angle and the characteristics of the exhibit, determine the brightness settings of each LED lamp in the LED matrix to achieve the appropriate light intensity for different areas of the exhibit and highlight the core display area. For example, the brightness of the core display area is high, and the brightness of the surrounding area is relatively low;

[0081] Color space database of the exhibit: A database storing the color information of the exhibit, including the color types and color gamut ranges of each part of the exhibit, providing a basis for color temperature distribution;

[0082] Color temperature complementary strategy: Using the principle that color temperature and the color of the exhibit complement each other to make the color of the exhibit more vivid and real under light. For example, warm-toned exhibits are paired with relatively cold color temperature light to enhance the visual effect;

[0083] Color temperature distribution scheme of the LED matrix: According to the exhibit color space database and the color temperature complementary strategy, determine the color temperature settings of each LED lamp in the LED matrix to make the light coordinate with the color of the exhibit.

[0084] S4: Based on the ultraviolet sensitivity level of the exhibit, the lighting restriction conditions, the lighting atmosphere parameter range, the brightness distribution scheme and the color temperature distribution scheme of the LED matrix, generate the basic static lighting strategy for the exhibit;

[0085] Among them, the basic static lighting strategy for the exhibit: The basic lighting scheme formulated by comprehensively considering factors such as the sensitivity of the exhibit to ultraviolet rays, lighting restrictions, suitable lighting atmosphere, and brightness and color temperature distribution, which does not change in real time with time or external factors, and provides stable basic lighting for the exhibit.

[0086] S5: Based on the real-time human flow dynamic information, the scene time state near the exhibit and the basic static lighting strategy, generate the scene-based dynamic linkage lighting strategy for the exhibit;

[0087] Among them, the real-time human flow dynamic information near the exhibit: Refers to the real-time personnel flow situation around the exhibit, such as the density of audience distribution, the nearest and farthest distances between the audience and the exhibit, etc. For example, during the peak exhibition period, the density of audience distribution is high; if an infrared thermal imaging sensor is used to count the density of audience aggregation, when the density in a certain area > 2 people / ㎡, the brightness of the key area of the exhibit is increased by 20%, and the dynamic light and shadow guiding path is activated.

[0088] Scene time state: Different time states during the exhibition, such as day, night, or different stages of the exhibition, etc. Different time states may require different lighting effects;

[0089] The scene-based dynamic linkage lighting strategy for the exhibit: The lighting scheme generated by combining the real-time human flow dynamic information, the scene time state and the basic static lighting strategy, which can dynamically adjust the lighting according to the on-site situation. For example, when the audience approaches the exhibit, the brightness is appropriately increased; at night, a more atmospheric lighting effect is created.

[0090] S6: Based on the scene-based dynamic linkage lighting strategy, perform intelligent lighting control on the LED matrix to obtain the intelligent lighting control result. That is, according to the generated scene-based dynamic linkage lighting strategy, intelligently adjust parameters such as the brightness and color temperature of the LED matrix, and finally achieve precise lighting of the exhibit and reach the ideal display effect.

[0091] In an alternative implementation, S1: Based on the exhibit material, determine the ultraviolet sensitivity level and lighting restriction conditions of the exhibit, including:

[0092] Perform spectral scanning on the surface of the exhibit using an optical fiber spectrometer to obtain the reflection spectral curve, and determine the ultraviolet absorption distribution characteristics of the exhibit surface based on the reflection spectral curve. The ultraviolet absorption distribution characteristics include the positions and absorption intensities of the ultraviolet absorption peaks in the reflection spectral curves at various locations on the exhibit surface:

[0093] The spectrometer will collect the light information reflected from the surface of the exhibit and convert it into a reflection spectral curve. From this reflection spectral curve, the ultraviolet absorption distribution characteristics of the exhibit surface can be analyzed. The position of the ultraviolet absorption peak here (for example, a strong absorption peak at 300 nm indicates an organic material) is like the "hot spot" position of ultraviolet absorption, indicating where on the exhibit surface the ultraviolet absorption is more concentrated; the absorption intensity (A = log(1 / R), where R is the reflectance) reflects the strength of the ability of these "hot spots" to absorb ultraviolet light. For example, if the absorption peak at a certain position is very high, it means that the ultraviolet absorption ability at that position is very strong.

[0094] Obtain the chromaticity coordinate distribution data of the exhibit surface; the chromaticity coordinate distribution data can describe the color information at different positions on the exhibit surface, and it can help to further understand the material characteristics of the exhibit. For example, through the chromaticity coordinates, it can be known whether a certain area of the exhibit is more red or more blue, and different colors may imply different material compositions.

[0095] Input the ultraviolet absorption distribution characteristics and chromaticity coordinate distribution data of the exhibit surface into the exhibit material sensitivity level definition model to obtain all the material types on the exhibit surface, the distribution coordinates of each material, the ultraviolet sensitivity level, and the core sensitive factors of each material:

[0096] Input the previously obtained ultraviolet absorption distribution characteristics and chromaticity coordinate distribution data into the exhibit material sensitivity level definition model together. After being processed by the model, all the material types on the exhibit surface can be obtained, as well as the distribution coordinates of each material on the exhibit surface, just like "marking a map" for each material on the exhibit surface. At the same time, the ultraviolet sensitivity level of each material can also be known, as well as the core sensitive factors that affect its sensitivity to ultraviolet light. For example, some materials may be sensitive to ultraviolet light because they contain special chemical components.

[0097] The ultraviolet sensitivity levels include: high sensitivity (Level I), medium sensitivity (Level II), low sensitivity (Level III), and extra-high sensitivity (Level I+);

[0098] The core sensitive factors are, for example: pigment fading, adhesive aging, fiber degradation, dye decomposition, glaze / plating oxidation (long-term accumulation), paper yellowing, cellulose breakage.

[0099] The material sensitivity level definition model of this exhibit is trained with the ultraviolet absorption distribution characteristics and color coordinate distribution data of the exhibit surface calibrated manually in large quantities, as well as all the material types on the exhibit surface calibrated manually, the distribution coordinates of each material, the ultraviolet sensitivity level, and the core sensitive factors.

[0100] Determine the ultraviolet sensitivity level of the exhibit based on the distribution coordinates and ultraviolet sensitivity levels of all the material types on the exhibit surface;

[0101] Retrieve the multi-dimensional limit parameter table based on all the material types on the exhibit surface, the ultraviolet sensitivity levels of each material, and the core sensitive factors, and determine the multi-dimensional limit parameters of each material:

[0102] According to all the material types on the exhibit surface, as well as the ultraviolet sensitivity levels and core sensitive factors corresponding to each material, retrieve the multi-dimensional limit parameter table. This table is like a "lighting rule manual" that stipulates a series of limit parameters for different materials, different sensitivity situations, etc. Through retrieval, the multi-dimensional limit parameters corresponding to each material can be determined, and these parameters may include lighting intensity limits, ultraviolet content limits, lighting duration limits, etc.;

[0103] Perform an intersection operation on the multi-dimensional limit parameters of all the material types on the exhibit surface to obtain the lighting limit conditions of the exhibit. Since the exhibit may be composed of multiple materials, it is necessary to comprehensively consider the limit parameters of all materials. Therefore, perform an intersection operation on the multi-dimensional limit parameters of all material types, that is, find the common part of all material limit parameters. After this processing, the result obtained is the final lighting limit condition of the exhibit, so as to ensure that the lighting will not damage the exhibit.

[0104] In an alternative implementation, determining the ultraviolet sensitivity level of the exhibit based on the distribution coordinates and ultraviolet sensitivity levels of all the material types on the exhibit surface includes:

[0105] Determine the distribution area of each material on the exhibit surface based on the distribution coordinates of each material on the exhibit surface: Based on the distribution coordinates of each material on the exhibit surface, the distribution area of each material can be determined through a certain calculation method. For example, assuming the exhibit is a flat object, the area occupied by each material can be calculated through the coordinates.

[0106] Take the ratio of the distribution area of each material to the sum of the distribution areas of all materials as the weight of each material on the exhibit surface; for example, if the area of a certain material accounts for 20% of the total area, then its weight is 0.2.

[0107] Perform weighted summation on the ultraviolet sensitivity levels of all the material types on the exhibit surface based on the weights of all the material types on the exhibit surface to obtain the ultraviolet sensitivity level of the exhibit:

[0108] According to the weights of all materials, the ultraviolet sensitivity levels of each material are weighted and summed to obtain the overall ultraviolet sensitivity level of the exhibit. For example, there are three materials with weights of 0.3, 0.5, and 0.2 respectively, and ultraviolet sensitivity levels of 3, 2, and 1 respectively. Then the overall ultraviolet sensitivity level of the exhibit is 0.3×3 + 0.5×2 + 0.2×1 = 2.1 (rounded to the nearest integer).

[0109] In an alternative embodiment, based on the three-dimensional digital model of the exhibit and the core display area, the optimal light projection angle is simulated to generate a brightness distribution plan for the LED matrix. Refer to Figure 2 , including:

[0110] Use a 3D camera to scan the outline of the exhibit, and combine with a color sensor to obtain the chromaticity distribution data on the surface of the exhibit, establish a three-dimensional digital model of the exhibit and a color space database, and mark the core display area in the three-dimensional digital model of the exhibit; the beneficial effect of doing this is that it can accurately focus on the key parts of the exhibit and enable visitors to understand the core content of the exhibit more clearly.

[0111] Among them, the chromaticity distribution data on the surface of the exhibit represents the color range covered by the surface color of the exhibit.

[0112] Based on the coordinate representation of the outline of the core display area in the preset three-dimensional coordinate system, determine the coordinate representation of at least one plane in the preset three-dimensional coordinate system that does not intersect with all coordinate points other than the outline points in the core display area and intersects at least two non-adjacent outline points in the core display area; that is, according to the coordinates of the outline of the core display area in the preset three-dimensional coordinate system, find at least one plane that does not intersect with all coordinate points other than the outline points in the core display area and is intersected by at least two non-adjacent outline points in the core display area, and determine its coordinate representation in the preset three-dimensional coordinate system.

[0113] Among them, the preset three-dimensional coordinate system is a three-dimensional space coordinate system set artificially, which is used to accurately determine the positions and directions of the exhibit, the core display area, and related planes in space. Each element involved in the exhibit and subsequent analysis can have a clear coordinate position in this framework.

[0114] Based on the coordinate representation of the exhibit in the preset coordinate system and the coordinate representation of each plane in the preset three-dimensional coordinate system, mark the intersection contour of the exhibit and the plane; the boundary where the plane contacts the exhibit is the intersection contour. This intersection contour is very crucial, as it clarifies the specific range where the light will directly shine on the exhibit when projected from the direction of this plane. It enables us to have a more intuitive understanding of the light action range, facilitating subsequent analysis of the light coverage situation, and thus reasonably distributing the light intensity.

[0115] Based on the coordinate representation of the core display area in the preset three-dimensional coordinate system and the coordinate representation of each plane in the preset three-dimensional coordinate system, calculate the distances between each point in the core display area and each point within the intersection contour range on each plane, and filter out the maximum distance among all the distances on each plane as the reference distance for each plane; among all the planes, filter out the plane with the minimum reference distance as the reference plane of the core display area; in this way, quantitatively evaluate the effect of projecting light from each plane onto the core display area. Finally, find the plane with the minimum reference distance among all the planes as the reference plane of the core display area. This plane means that projecting light from this direction can make the distances between each point in the core display area and the light coverage boundary relatively more uniform, helping to avoid local over-brightness or over-darkness and making the illumination more uniform.

[0116] Regard the angle perpendicular to the participating plane as the optimal light projection angle; such an angle setting can make the light shine more perpendicularly onto the core display area, can maximize the display of exhibit details, enhance the three-dimensional sense, avoid shadows or deformations caused by inclined light, and improve the visual effect of the exhibit.

[0117] Based on the three-dimensional digital model of the exhibit and the optimal light projection angle, determine the optimal light projection position, which is the position in space that can make the light shine onto the core display area of the exhibit with the best effect according to the three-dimensional digital model of the exhibit and the determined optimal light projection angle. It is determined after considering various factors such as the shape of the exhibit, the position and orientation of the core display area, and the optimal light projection angle. For example, for a sculpture with complex textures, by analyzing the three-dimensional digital model and the optimal light projection angle, it may be found that when the light source is placed at a certain height position in the upper left of the sculpture, the light can shine along the undulations of the texture, maximizing the display of the details and three-dimensional sense of the sculpture texture. This upper left position is the optimal light projection position. Determining the optimal light projection position is crucial for achieving the ideal display effect of the exhibit. It can make the light accurately illuminate the core display area, highlight the characteristics of the exhibit, and avoid problems such as shadows blocking key parts or uneven light distribution caused by inappropriate light projection positions, thereby enhancing the visual attraction and expressiveness of the exhibit.

[0118] And determine the brightness distribution scheme of the LED matrix based on the optimal light projection position. For example, in the display of a sculpture, according to the calculated optimal light projection angle, find the most suitable position to place the light source in the exhibition hall space. Determine the brightness distribution scheme of the LED matrix based on the optimal light projection position. For example, set a higher brightness for the LED lights corresponding to the core display area and appropriately reduce the brightness in the surrounding areas to highlight the key display area, achieve precise lighting of the exhibit, optimize the exhibit display effect, and attract the attention of visitors.

[0119] The entire process provides a scientific basis for the lighting design of exhibits from multiple perspectives through precise modeling, calculation, and analysis, making the lighting scheme more in line with the exhibition needs of the exhibits, highlighting the characteristics of the exhibits to the greatest extent, and enhancing the viewing experience of visitors.

[0120] In an alternative embodiment, based on the three-dimensional digital model of the exhibit and the optimal light projection angle, the optimal light projection position is determined, with reference to Figure 2 , including:

[0121] Mark the outermost protruding points on the surface of the exhibit in the three-dimensional digital model of the exhibit. These points represent the boundary positions where the exhibit protrudes outward in space, and they are the points on the surface of the exhibit that are farthest from the center or average position of the exhibit in all directions. For example, the fingertips and ear edges of a statue.

[0122] Next, determine the connection lines between the outermost protruding points in pairs within the core display area as the limit light projection reference lines; these reference lines can be understood as the boundary lines surrounding the core display area from different directions, and they provide a reference for determining the limit range of light projection subsequently. For example, for the core display area of a vase, there may be multiple such limit light projection reference lines connecting the protruding points such as the mouth edge and the raised part of the bottle body. The purpose of doing this is to plan the light projection directions from all possible extreme angles to ensure that the core display area can be fully and reasonably illuminated.

[0123] Determine the intersection points of the limit light projection reference lines in pairs on the light projection side of the reference plane in the core display area as the intersection points of the limit light source lines; these intersection points are like the convergence points of different light projection directions. By determining them, the concentrated area of the light projection direction can be further clarified. For example, multiple limit light projection reference lines may converge at several points on the light projection side of the reference plane, and these points are of great significance for determining the approximate position range of the light source. This step helps to narrow the range of finding the optimal light projection position and improve the accuracy of determining the optimal light projection position.

[0124] Among them, the reference plane divides the space into two sides, and the light projection side is the side through which the light travels from the light source to the core display area of the exhibit. It can be imagined that a transparent reference plane is placed near the core display area of the exhibit. When the optimal light projection angle is determined, the light will pass through this plane from a specific direction to illuminate the exhibit, and the side of the plane where the light propagates is the light projection side of the reference plane.

[0125] Regard the point in the core display area that is farthest from the reference plane as the highest point of the core display area. For example, in the core display area of a displayed hill model, the top of the hill is this highest point.

[0126] And take the straight line passing through the highest point and perpendicular to the reference plane as the center line of the simulated light source. This line can be understood as a virtual light path perpendicular to the reference plane from the highest point.

[0127] Among the projection points of the intersection points of all the limit light source lines on the center line of the simulated light source, screen out the projection point position farthest from the reference plane as the lowest light projection position of the point light source; the projection point is the point obtained by vertically projecting the intersection point of the limit light source lines onto the center line of the simulated light source. The reason for choosing the projection point position farthest from the reference plane is that it comprehensively considers the highest point of the core display area and the intersection of the limit light projection reference lines. When the point light source projects light on the exhibit at the lowest light projection position, it can, to a certain extent, ensure that the light can cover all parts of the core display area and highlight the highest point, making the exhibit more visually hierarchical. For example, in the core display area of a statue of a person, projecting a point light source from this lowest light projection position can better display the details of the statue's head (assumed to be the highest point) while taking into account the lighting of other parts of the body.

[0128] Based on the exhibition space data of the exhibit, the size distribution data of the LED matrix, the center line of the simulated light source, and the lowest light projection position of the point light source, determine the optimal light projection position of the LED matrix. The exhibition space data of the exhibit includes various information related to the exhibition venue, such as the size (length, width, and height dimensions) of the exhibition space, the shape (square, circular, or irregular shape), and the space layout (such as the position distribution of the exhibits in the exhibition hall, whether there are obstacles around, etc.). The size distribution data of the LED matrix, that is, the size, shape of the LED matrix itself, and the arrangement of each LED lamp, etc.; the center line of the simulated light source, which provides a central direction for light projection; and the lowest light projection position of the point light source.

[0129] Input the exhibition space data of the exhibit, the size distribution data of the LED matrix, the center line of the simulated light source, and the lowest light projection position of the point light source into the LED matrix optimal light projection position determination model to determine the optimal light projection position of the LED matrix. This model is trained using the exhibition space data of a large number of exhibits, the size distribution data of the LED matrix, the center line of the simulated light source, the lowest light projection position of the point light source, and the optimal light projection position of the LED matrix determined by artificial lighting test simulation as training samples.

[0130] Through comprehensive analysis and calculation of these factors, the optimal light projection position of the LED matrix in space is finally determined (using the three-dimensional coordinates of each point in the LED matrix under the preset three-dimensional coordinate system). This position can ensure that the light emitted by the LED matrix, considering the exhibition space limitations and the characteristics of the LED matrix itself, is based on the optimal light projection angle and can most effectively illuminate the core display area of the exhibit. For example, if the exhibition space is relatively narrow, the LED matrix may need to be placed closer to the exhibit. When the size of the LED matrix is large, the position may need to be adjusted according to its size to ensure that the light evenly and fully covers the core display area. The optimal light projection position determined in this way can achieve the best lighting effect for the core display area of the exhibit, highlight the key points of the exhibit, and improve the overall display quality.

[0131] In an alternative embodiment, a brightness distribution scheme for the LED matrix is determined based on the optimal light projection position, referring to Figure 2 , including:

[0132] Based on the optimal light projection position of the LED matrix, all the intersection points between all the limit light projection reference lines and the LED matrix plane are determined, and the local area of the LED matrix surrounded by all the intersection points between all the limit light projection reference lines and the LED matrix plane in the LED matrix plane is regarded as the main light area of the LED matrix; these limit light projection reference lines are like the light paths emitted from the edges of the core display area in all directions, and the area formed by their intersection with the LED matrix plane is the part of the LED matrix mainly responsible for illuminating the core display area. For example, for a circular LED matrix, after multiple limit light projection reference lines intersect with it, a polygonal area will be formed on the matrix plane, and this area is the main light area. Determining the main light area helps to centrally control the key light source part for illuminating the core display area and provides a clear area range for reasonable brightness distribution.

[0133] Based on the lowest light projection position of the point light source and the preset front-back light area distribution ratio (a parameter preset for dividing the ratio of the front-lighted area and the back-lighted area of the exhibit), the front-lighted area and the back-lighted area are marked in the three-dimensional digital model of the exhibit. For example, if the preset front-back light area distribution ratio is 3:1, with the lowest light projection position of the point light source as a reference, according to the light propagation direction and the shape of the exhibit, approximately three-quarters is divided as the front-lighted area and one-quarter as the back-lighted area on the three-dimensional digital model.

[0134] And a brightness distribution scheme for the LED matrix is determined based on the coordinate representations of the front-lighted area, the back-lighted area, and the main light area of the LED matrix in the preset three-dimensional coordinate system respectively. That is, the coordinate representations of the front-lighted area, the back-lighted area, and the main light area of the LED matrix in the preset three-dimensional coordinate system are input into the brightness distribution model to obtain the brightness distribution scheme of the LED matrix.

[0135] The model is trained with the optimal LED matrix brightness allocation scheme determined through experiments on setting the brightness of the LED matrix for corresponding exhibits by using the coordinates of the front light area, backlight area, and main light area of the LED matrix of a large number of exhibits in a preset three-dimensional coordinate system simultaneously as training samples.

[0136] For example, for the LED lights in the main light area corresponding to the front light area, a relatively high brightness can be set to highlight the details on the front of the exhibit; while for the LED lights corresponding to the backlight area, a lower brightness is set to create a sense of hierarchy and three-dimensionality. Through this brightness setting based on different area coordinates and functional requirements, precise lighting of the exhibit can be achieved, highlighting the core display area, making the exhibit present a better display effect visually, meeting the display requirements of different exhibits, and enabling visitors to observe the characteristics of the exhibit more clearly.

[0137] In an alternative embodiment, a color temperature allocation scheme for the LED matrix is generated based on the color space database of the exhibit and the color temperature complementary strategy, including:

[0138] Based on the optimal light projection position of the LED matrix, the light projection range of each LED light in the LED matrix on the surface of the exhibit is determined; according to the optical principle and spatial geometric relationship, the area covered by the light emitted by each LED light in the matrix on the surface of the exhibit, that is, the light projection range, can be calculated. This is similar to projecting light from a light source at a specific position onto a target object in a three-dimensional space, and the area formed by the light hitting the surface of the object.

[0139] Based on the light projection range of each LED light in the LED matrix on the surface of the exhibit, the color space database of the exhibit (which stores detailed color information of each area on the surface of the exhibit, including data such as color types, hues, saturations, etc. For example, for a painting, the database may record the specific color values of different parts of the picture, such as the blue hue and saturation of the sky part, and the colors of the characters' costumes, etc.) and the color temperature complementary strategy (this is a strategy that utilizes the interaction relationship between color temperature and the color of the exhibit. Under the illumination of light with a specific color temperature, different colored exhibits will present different visual effects. The color temperature complementary strategy aims to select an appropriate color temperature to make the color of the exhibit more vivid and achieve visual balance and coordination. For example, for warm-toned exhibits, a relatively cold color temperature light can be paired to enhance the color contrast and make the color of the exhibit more prominent), a color temperature allocation scheme for the LED matrix is generated.

[0140] Based on the above information, for the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, specific color information of the exhibit within this range is obtained from the color space database. Then, according to the color temperature complementary strategy, a corresponding color temperature is matched for the color of the exhibit within each light projection range. For example, if the color of the exhibit within the light projection range of a certain LED lamp is mainly red, according to the color temperature complementary strategy, a relatively cold color temperature, such as 4000K - 5000K, may be assigned to this LED lamp to highlight the vividness and layering of the red color. By performing such operations on the light projection range of each LED lamp, a color temperature allocation scheme for the entire LED matrix is finally generated, ensuring that the exhibit can present the best display effect under the illumination of appropriate color temperature in different areas, enhancing the visual attraction and expressiveness of the exhibit.

[0141] In an alternative embodiment, based on the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, the color space database of the exhibit, and the color temperature complementary strategy, a color temperature allocation scheme for the LED matrix is generated, including:

[0142] Determine the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit based on the color space database of the exhibit;

[0143] Based on the types (such as red tone, blue tone, etc.) and distribution areas of all the main color tones in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, determine the complementary scale of all the main color tones in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit (used to measure the complementary degree between each main color tone and the illumination color temperature); for example, take the ratio of the distribution area of each main color tone to the distribution area of all the main color tones in the local color space data as the complementary scale; the main color tone with a larger distribution area may have a higher weight when determining the complementary scale. For example, if the distribution area of the red tone within the light projection range is relatively large, then when calculating the complementary scale, the illumination color temperature complementary to the red color temperature will be considered more importantly. This complementary scale will help us determine the color temperature matching each main color tone to achieve a better color display effect.

[0144] Based on the color difference between the dominant hues in the distribution regions of all the dominant hues in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit (i.e., the difference in the average chromaticity values of all pixel points covered by two adjacent dominant hues), and determining the cross-color softness corresponding to the adjacent distribution regions based on the color difference; determined by retrieving from a preset color difference-cross-color softness list. Generally speaking, the smaller the color difference, the higher the cross-color softness, indicating that the transition between two adjacent colors is more natural; the larger the color difference, the lower the cross-color softness, and the more abrupt the color transition. Determining the cross-color softness is to make the transition between different dominant hue regions more natural under illumination and avoid the visual effect of color mutation.

[0145] Based on the complementary scale of all the dominant hues in the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, the cross-color softness of all the corresponding adjacent distribution regions, and the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit, calculate the complementary color temperature value of each non-boundary pixel point and the complementary color temperature value of each boundary pixel point within the distribution region of each dominant hue within the light projection range of each LED lamp in the LED matrix on the surface of the exhibit; since the surrounding color environment of non-boundary pixel points is relatively single, the calculation of their complementary color temperature values is mainly based on the complementary scale of the dominant hue where they are located; while boundary pixel points are at the junction of two dominant hue regions, and when calculating, it is necessary to consider the complementary scales of adjacent dominant hues and the cross-color softness at the same time to ensure that the color temperature of the light can be naturally connected at the transition of different color regions. For example, at the junction of the red dominant hue and the yellow dominant hue, the complementary color temperature value of the boundary pixel point will be calculated by comprehensively considering the complementary scales of red and yellow and the cross-color softness between them. Specifically, it includes:

[0146] Complementary scale = proportion of the dominant hue distribution area * degree of complementarity between the dominant hue and the corresponding illumination complementary color (the degree of complementarity between red and green is 1, the degree of complementarity between yellow and purple is 0.8, and the degree of complementarity between blue and orange is 0.9, which can be retrieved according to the complementary relationship between different color representations).

[0147] Complementary scale of red hue = 0.4 * 1 = 0.4;

[0148] Complementary scale of yellow hue = 0.3 * 0.8 = 0.24;

[0149] Complementary scale of blue hue = 0.3 * 0.9 = 0.27;

[0150] Assume that the color difference value between the adjacent red and yellow regions is 10 (the color difference value range is assumed to be 0 - 100, and the smaller the value, the smaller the color difference). According to the empirical formula (cross - color softness = 1 - color difference value / 100), the cross - color softness of the adjacent red and yellow regions can be obtained as 1 - 10 / 100 = 0.9; the color difference value between the adjacent yellow and blue regions is 15, and the cross - color softness is 1 - 15 / 100 = 0.85; red and blue are not adjacent, so it is not considered for the time being.

[0151] Its complementary color temperature value is mainly calculated based on the complementary scale of the red tone: Complementary color temperature value = Complementary scale * a basic color temperature value (assuming the basic color temperature value is 5000K). Therefore, the complementary color temperature value of the non - boundary pixel points of the red tone = 0.4 * 5000 = 2000K.

[0152] Similarly, the complementary color temperature value of the non - boundary pixel points of the yellow tone = 0.24 * 5000 = 1200K.

[0153] The complementary color temperature value of the non - boundary pixel points of the blue tone = 0.27 * 5000 = 1350K.

[0154] For the red - yellow boundary pixel points: When calculating, it is necessary to consider the complementary scales of both red and yellow and the cross - color softness between them:

[0155] The complementary color temperature value of the boundary pixel points = (Red complementary scale * Cross - color softness + Yellow complementary scale * Cross - color softness) * Basic color temperature value / 2. Substituting the values, we get:

[0156] (0.4 * 0.9 + 0.24 * 0.9) * 5000 / 2 = (0.36 + 0.216) * 2500 = 1440K.

[0157] According to the same formula, the complementary color temperature value of the yellow - blue boundary pixel points = (0.24 * 0.85 + 0.27 * 0.85) * 5000 / 2 = (0.204 + 0.2295) * 2500 = 1083.75K.

[0158] Take the average value of the complementary color temperature values of all non - boundary pixel points and all boundary pixel points in the distribution regions of all main color tones within the light projection range of each LED lamp on the exhibit surface in the LED matrix as the color temperature value of the corresponding LED lamp in the LED matrix, and summarize the color temperature values of all LED lamps to obtain the color temperature distribution scheme of the LED matrix.

[0159] In an alternative embodiment, S5: Generate a scene - based dynamic linkage lighting strategy for the exhibit based on the real - time human flow dynamic information, scene time state, and basic static lighting strategy near the exhibit, including:

[0160] Analyze the audience distribution characteristics of exhibits based on the real-time pedestrian flow dynamic information near the exhibits. Among them, the audience distribution characteristics include audience distribution density, maximum distance of the audience, and minimum distance of the audience.

[0161] Among them, the audience distribution density: This is an indicator to measure the degree of audience aggregation around the exhibits. For example, in a popular art exhibition, a large number of audiences may stop to admire a precious painting, and at this time, the audience distribution density near this exhibit is high; while in the unpopular area of the exhibition, there are few audiences, and the audience distribution density near the corresponding exhibit is low. Collect real-time data through cameras or sensors installed in the exhibition hall, and count the number of audiences per unit area to determine the audience distribution density.

[0162] The maximum distance of the audience: It refers to the maximum distance between the audience and the exhibit. For example, in a spacious exhibition hall, some audiences may stand at a relatively far position to watch the exhibit, and this farthest distance is the maximum distance of the audience. This data can reflect the radiation range of the influence of the exhibit, and this data is obtained by detecting the position information of the audience.

[0163] The minimum distance of the audience: That is, the minimum distance between the audience and the exhibit. In the museum, in order to protect the exhibits, a certain safety distance is usually set, but there are still audiences who will get as close as possible to the exhibits to observe the details. At this time, the minimum distance is the minimum distance of the audience. It is very important for ensuring the safety of the exhibits and adjusting the lighting to meet the needs of the audience for close observation, and it can also be obtained through position detection means.

[0164] By analyzing these real-time pedestrian flow dynamic information to obtain the audience distribution characteristics, it is possible to understand the attention situation and spatial distribution of the audience to the exhibits, providing a basis for subsequent lighting adjustment.

[0165] Generate the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix based on the audience distribution characteristics and scene time states of the exhibits;

[0166] Among them, the scene time state covers factors such as different times and stages of the exhibition. For example, during the day and at night, due to different ambient light, the required lighting effects for the exhibits will also be different; different stages such as the opening, regular exhibition, and closing of the exhibition may also require different lighting atmospheres.

[0167] Generate the lighting parameter adjustment parameters for the LED matrix by combining the audience distribution characteristics and the scene tense. For example, when the audience distribution density is high and it is in the opening stage of the exhibition (scene tense), in order to create a lively atmosphere and ensure that each audience can clearly view the exhibits, the brightness of the LED matrix may be increased, and at the same time, the color temperature is adjusted to make the light brighter and warmer. The generated lighting parameter adjustment parameters will then indicate an increase in the brightness value and an appropriate decrease in the color temperature value. Another example is at night when there are fewer audiences (audience distribution characteristics). To create a quiet atmosphere, the brightness may be reduced and the color temperature adjusted to a cooler tone, and accordingly, the adjustment parameters for reducing the brightness and increasing the color temperature are generated. These adjustment parameters will determine how to dynamically change the basic static lighting strategy.

[0168] Generate the scene-based dynamic linkage lighting strategy for the exhibits based on the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix and the basic static lighting strategy.

[0169] Among them, the basic static lighting strategy: is a lighting plan formulated in advance based on various characteristics of the exhibit itself, such as material, historical background, color, etc., to provide a basic and stable lighting effect for the exhibit.

[0170] Applying the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix to the basic static lighting strategy can generate the scene-based dynamic linkage lighting strategy. For example, the brightness set by the basic static lighting strategy is 50% and the color temperature is 4000K. According to the scene-based dynamic adjustment parameters, if it is required to increase the brightness to 80% and decrease the color temperature to 3500K, then the newly generated scene-based dynamic linkage lighting strategy will control the LED matrix according to these adjusted parameters, enabling the lighting of the exhibit to change in real time according to the audience situation and the scene tense, providing a lighting environment that better meets the actual needs of the audience, enhancing the audience's visiting experience, and at the same time better displaying the characteristics of the exhibit.

[0171] An embodiment of the intelligent lighting control method combining the characteristics of the exhibit provided by the present invention includes:

[0172] The material feature analysis module is used to determine the ultraviolet sensitivity level and lighting restriction conditions of the exhibit based on the exhibit material;

[0173] The historical background feature analysis module is used to retrieve the preset lighting style library based on the historical background of the exhibit and determine the range of lighting atmosphere parameters of the exhibit;

[0174] The appearance feature analysis module is used to simulate the optimal light projection angle based on the three-dimensional digital model of the exhibit and the core display area, generate the brightness distribution plan of the LED matrix, and at the same time, generate the color temperature distribution plan of the LED matrix based on the color space database of the exhibit and the color temperature complementary strategy;

[0175] A static lighting strategy generation module is used to generate a basic static lighting strategy for an exhibit based on the exhibit's UV sensitivity level, lighting restrictions, lighting atmosphere parameter range, and the LED matrix's brightness and color temperature distribution schemes.

[0176] Dynamic lighting strategy generation module, used to generate scene-based dynamic linkage lighting strategies for exhibits based on real-time crowd flow dynamic information near the exhibits, scene temporal state, and basic static lighting strategies;

[0177] The intelligent lighting control module is used to perform intelligent lighting control on the LED matrix based on the scenario-based dynamic linkage lighting strategy to obtain intelligent lighting control results.

[0178] The system's material feature analysis module determines UV sensitivity levels and lighting restrictions based on the exhibit's material, effectively protecting exhibits from UV damage and improper lighting, ensuring their long-term display. The historical background feature analysis module determines the lighting atmosphere parameter range based on the exhibit's historical background, ensuring the lighting atmosphere aligns with the exhibit's content and enhances visitors' perception of the exhibit's cultural message. The appearance feature analysis module generates brightness and color temperature distribution schemes based on three-dimensional digital models, optimizing the visual display effect from multiple dimensions, including projection angle, brightness, and color temperature, to highlight the exhibit's unique characteristics. The static lighting strategy generation module integrates multiple factors to generate basic static lighting strategies, providing a comprehensive and balanced foundation for lighting. The dynamic lighting strategy generation module combines real-time crowd flow information, scene temporal information, and basic static strategies to generate scenario-specific dynamic lighting strategies. This allows lighting to adapt to the scene, enhancing interest and interactivity. The intelligent lighting control module intelligently controls the LED matrix based on dynamic strategies, efficiently and accurately implementing pre-set lighting schemes, reducing labor costs and providing intelligent, convenient, and comprehensive lighting solutions for exhibitions, comprehensively improving exhibition quality.

[0179] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalents, the present invention is intended to include these modifications and variations.

Claims

1. An intelligent lighting control method combined with the characteristics of exhibits, characterized in that, Including: S1: Determine the UV sensitivity level and lighting limit conditions of the exhibit based on the exhibit material; S2: Retrieve the preset lighting style library based on the exhibit's historical background and determine the range of lighting atmosphere parameters for the exhibit; S3: Simulate the optimal light projection angle based on the 3D digital model of the exhibit and the core display area to generate the brightness distribution plan of the LED matrix. At the same time, generate the color temperature distribution plan of the LED matrix based on the color space database of the exhibit and the color temperature complementary strategy; S4: Generate the basic static lighting strategy of the exhibit based on the UV sensitivity level, light restriction conditions, lighting atmosphere parameter range, brightness distribution plan, and color temperature distribution plan of the LED matrix of the exhibit; S5: Generate the scene-based dynamic linkage lighting strategy of the exhibit based on the real-time human flow dynamic information, scene time state, and basic static lighting strategy near the exhibit; S6: Perform intelligent lighting control on the LED matrix based on the scene-based dynamic linkage lighting strategy to obtain the intelligent lighting control result.

2. The intelligent lighting control method combining the characteristics of the exhibits according to claim 1, characterized in that, S1: Determine the UV sensitivity level and lighting limit conditions of the exhibit based on the exhibit material, including: Perform spectral scanning on the surface of the exhibit using an optical fiber spectrometer to obtain the reflection spectral curve, and determine the UV absorption distribution characteristics on the surface of the exhibit based on the reflection spectral curve. The UV absorption distribution characteristics include the positions and absorption intensities of the UV absorption peaks in the reflection spectral curves at various locations on the surface of the exhibit; Obtain the color coordinate distribution data on the surface of the exhibit; Input the UV absorption distribution characteristics and color coordinate distribution data on the surface of the exhibit into the exhibit material sensitivity level definition model to obtain all the material types on the surface of the exhibit, the distribution coordinates of each material, the UV sensitivity level, and the core sensitive factors; Determine the UV sensitivity level of the exhibit based on the distribution coordinates and UV sensitivity levels of all the material types on the surface of the exhibit; Retrieve the multi-dimensional restriction parameter table based on all the material types on the surface of the exhibit, the UV sensitivity level of each material, and the core sensitive factors to determine the multi-dimensional restriction parameters of each material; Perform an intersection operation on the multi-dimensional restriction parameters of all the material types on the surface of the exhibit to obtain the lighting limit conditions of the exhibit.

3. The intelligent lighting control method combining exhibit features according to claim 2, wherein Determine the UV sensitivity level of the exhibit based on the distribution coordinates and UV sensitivity levels of all the material types on the surface of the exhibit, including: Determine the distribution area of each material based on the distribution coordinates of each material on the surface of the exhibit; Take the ratio of the distribution area of each material to the sum of the distribution areas of all materials as the weight of each material on the surface of the exhibit; Perform weighted summation of the UV sensitivity levels of all the material types on the surface of the exhibit based on the weights of all the material types on the surface of the exhibit to obtain the UV sensitivity level of the exhibit.

4. The intelligent lighting control method combining exhibit features according to claim 1, wherein Simulate the optimal light projection angle based on the 3D digital model of the exhibit and the core display area to generate the brightness distribution plan of the LED matrix, including: Use a 3D camera to scan the contour of the exhibit, combine with a color sensor to obtain the chromaticity distribution data on the surface of the exhibit, establish the 3D digital model of the exhibit and the color space database, and mark the core display area in the 3D digital model of the exhibit; Based on the coordinate representation of the contour of the core display area in the preset three-dimensional coordinate system, determine the coordinate representation in the preset three-dimensional coordinate system of at least one plane that does not intersect with all the coordinate points except the contour points in the core display area and intersects with at least two non-adjacent contour points of the core display area; Based on the coordinate representation of the exhibit in the preset coordinate system and the coordinate representation of each plane in the preset three-dimensional coordinate system, mark the intersection contours of the exhibit and the plane; Based on the coordinate representation of the core display area in the preset three-dimensional coordinate system and the coordinate representation of each plane in the preset three-dimensional coordinate system, calculate the distance between each point in the core display area and each point within the intersection contour range on each plane, and select the maximum distance among all the distances of each plane as the reference distance of each plane; Select the plane with the minimum reference distance among all the planes as the reference plane of the core display area; Regard the angle perpendicular to the participating plane as the optimal light projection angle; Based on the three-dimensional digital model of the exhibit and the optimal light projection angle, determine the optimal light projection position, and based on the optimal light projection position, determine the brightness distribution scheme of the LED matrix.

5. The intelligent lighting control method combining exhibit features according to claim 4, wherein Based on the three-dimensional digital model of the exhibit and the optimal light projection angle, determine the optimal light projection position, including: Mark the outermost protruding points on the surface of the exhibit in the three-dimensional digital model of the exhibit, and determine the connection lines between the pairwise outermost protruding points within the core display area as the limit light projection reference lines; Determine the intersection points of the pairwise limit light projection reference lines on the light projection side of the reference plane of the core display area as the limit light source line intersection points; Regard the point in the core display area that is farthest from the reference plane as the highest point of the core display area, and regard the straight line passing through the highest point and perpendicular to the reference plane as the simulated light source center line. Among the projection points of all the limit light source line intersection points on the simulated light source center line, select the projection point position that is farthest from the reference plane as the lowest light projection position of the point light source; Based on the exhibition space data of the exhibit, the size distribution data of the LED matrix, the simulated light source center line, and the lowest light projection position of the point light source, determine the optimal light projection position of the LED matrix.

6. The intelligent lighting control method combining the characteristics of the exhibit according to claim 4, characterized in that, Based on the optimal light projection position, determine the brightness distribution scheme of the LED matrix, including: Based on the optimal light projection position of the LED matrix, determine all the intersection points between all the limit light projection reference lines and the LED matrix plane, and regard the local area of the LED matrix enclosed by all the intersection points between all the limit light projection reference lines and the LED matrix plane in the LED matrix plane as the main light area of the LED matrix; Based on the lowest light projection position of the point light source and the preset positive light and backlight area allocation ratio, mark the positive light area and the backlight area in the three-dimensional digital model of the exhibit, and based on the coordinate representations of the positive light area, the backlight area, and the main light area of the LED matrix in the preset three-dimensional coordinate system, determine the brightness distribution scheme of the LED matrix.

7. The intelligent lighting control method combining the characteristics of the exhibit according to claim 1, characterized in that, Based on the color space database of the exhibit and the color temperature complementary strategy, generate the color temperature distribution scheme of the LED matrix, including: Based on the optimal light projection position of the LED matrix, determine the light projection range of each LED lamp in the LED matrix on the surface of the exhibit; Generate a color temperature allocation scheme for the LED matrix based on the light projection range of each LED in the LED matrix on the surface of the exhibit, the color space database of the exhibit, and the color temperature complementary strategy.

8. The intelligent lighting control method combining the characteristics of exhibits according to claim 7, wherein Generate a color temperature allocation scheme for the LED matrix based on the light projection range of each LED in the LED matrix on the surface of the exhibit, the color space database of the exhibit, and the color temperature complementary strategy, including: Determine the local color space data of each LED in the LED matrix within the light projection range on the surface of the exhibit based on the color space database of the exhibit; Determine the complementary scale of all the main color tones in the local color space data of each LED in the LED matrix within the light projection range on the surface of the exhibit based on the types and distribution areas of all the main color tones in the local color space data of each LED in the LED matrix within the light projection range on the surface of the exhibit; Based on the color difference between the main color tones of adjacent distribution areas in the distribution areas of all the main color tones in the local color space data of each LED in the LED matrix within the light projection range on the surface of the exhibit, and determine the cross-color softness of the corresponding adjacent distribution areas based on the color difference; Based on the complementary scale of all the main color tones in the local color space data of each LED in the LED matrix within the light projection range on the surface of the exhibit, the cross-color softness of all the corresponding adjacent distribution areas, and the local color space data of each LED in the LED matrix within the light projection range on the surface of the exhibit, calculate the complementary color temperature value of each non-boundary pixel point and the complementary color temperature value of each boundary pixel point in the distribution area of each main color tone within the light projection range of each LED in the LED matrix on the surface of the exhibit; Take the average value of the complementary color temperature values of all the non-boundary pixel points and the complementary color temperature values of all the boundary pixel points in the distribution areas of all the main color tones within the light projection range of each LED in the LED matrix as the color temperature value of the corresponding LED in the LED matrix, and obtain the color temperature allocation scheme of the LED matrix.

9. The intelligent lighting control method combining exhibit features according to claim 1, wherein S5: Generate a scene-based dynamic linkage lighting strategy for the exhibit based on the real-time human flow dynamic information near the exhibit, the scene time state, and the basic static lighting strategy, including: Analyze the audience distribution characteristics of the exhibit based on the real-time human flow dynamic information near the exhibit, where the audience distribution characteristics include audience distribution density, the farthest distance of the audience, and the nearest distance of the audience; Generate the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix based on the audience distribution characteristics of the exhibit and the scene time state; Generate the scene-based dynamic linkage lighting strategy for the exhibit based on the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix and the basic static lighting strategy.

10. An intelligent lighting control system combined with exhibit features, characterized in that, Including: A material feature analysis module for determining the UV sensitivity level and lighting limitation conditions of the exhibit based on the exhibit material; A historical background feature analysis module for retrieving a preset lighting style library based on the historical background of the exhibit and determining the range of lighting atmosphere parameters of the exhibit; Appearance feature analysis module, which is used to simulate the optimal light projection angle based on the three-dimensional digital model of the exhibit and the core display area, generate the brightness allocation scheme of the LED matrix, and at the same time, generate the color temperature allocation scheme of the LED matrix based on the color space database of the exhibit and the color temperature complementary strategy; Static lighting strategy generation module, which is used to generate the basic static lighting strategy of the exhibit based on the ultraviolet sensitivity level of the exhibit, the lighting limit conditions, the lighting atmosphere parameter range, the brightness allocation scheme and the color temperature allocation scheme of the LED matrix; Dynamic lighting strategy generation module, which is used to generate the scene-based dynamic linkage lighting strategy of the exhibit based on the real-time human flow dynamic information and scene time state near the exhibit and the basic static lighting strategy; Intelligent lighting control module, which is used to perform intelligent lighting control on the LED matrix based on the scene-based dynamic linkage lighting strategy to obtain the intelligent lighting control result.

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