An intelligent lighting control method and system incorporating exhibit features

Abstract

The application relates to the technical field of lighting control, and particularly discloses an intelligent lighting control method and system combined with features of exhibits, which comprises the following steps: determining the ultraviolet light sensitivity level and lighting restriction condition of an exhibit based on the material of the exhibit; determining the lighting atmosphere parameter range of the exhibit based on the historical background of the exhibit; generating a brightness distribution scheme of an LED matrix based on the three-dimensional digital model and the core display area of the exhibit, and generating a color temperature distribution scheme of the LED matrix based on the color space database and the color temperature complementary strategy of the exhibit; generating a basic static lighting strategy of the exhibit based on the ultraviolet light sensitivity level, the lighting restriction condition, the lighting atmosphere parameter range, the brightness distribution scheme and the color temperature distribution scheme of the LED matrix of the exhibit, and generating a scene-based dynamic linkage lighting strategy of the exhibit in combination with real-time crowd dynamic information and scene time state near the exhibit; and performing intelligent lighting control based on the scene-based dynamic linkage lighting strategy, so that the optimized display effect of the exhibit is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lighting control, in particular to an intelligent lighting control method and system combined with exhibit features. BACKGROUND

[0002] In museums, exhibition halls and other display places, lighting design plays a key role in the presentation effect of exhibits. Proper lighting not only highlights the characteristics and value of the exhibits, but also creates a suitable viewing atmosphere and enhances the experience of visitors. With the increasing demand for cultural and artistic appreciation, traditional single and fixed lighting methods cannot meet the diversified needs of modern display. An intelligent lighting control method and system combined with exhibit features has emerged as the times require and is of great significance. It can tailor lighting solutions according to the unique features of exhibits such as material, historical background and color, and accurately showcase the charm of the exhibits. By simulating the optimal light projection angle, reasonably distributing brightness and color temperature, the exhibits can achieve the best visual presentation effect. At the same time, dynamic lighting is realized by combining with human flow dynamic information and scene time, which can bring visitors a more immersive and interactive experience. This technology conforms to the trend of intelligent and personalized development of the display industry, helps to enhance the attractiveness and cultural dissemination effect of display places, and has broad application prospects in the field of cultural display.

[0003] However, the existing lighting control technology has many shortcomings. It cannot develop lighting strategies to protect exhibits according to their materials. 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 and color characteristics of exhibits and the parts that need to be highlighted, but the existing lighting scheme generation does not comprehensively consider the above factors and is not perfect, and it cannot dynamically link with the scene, it is difficult to achieve precise and intelligent lighting control of exhibits, which affects the display effect of exhibits.

[0004] Therefore, the present application proposes an intelligent lighting control method and system combined with exhibit features. SUMMARY

[0005] The application provides a kind of intelligent lighting control method and system combined with exhibit features, and the method can effectively protect the exhibit by determining the ultraviolet sensitive level and lighting restriction condition based on the material of the exhibit.Meanwhile, the lighting atmosphere parameter range is determined according to the historical background of the exhibit, so that the lighting is consistent with the content of the exhibit in atmosphere.The display effect is optimized from the aspects of light projection angle, brightness and color temperature, the core display area of the exhibit is highlighted, and the details and characteristics of the exhibit are presented comprehensively through scientific use of light, making the exhibit more attractive in vision.The basic static lighting strategy is generated, which considers the characteristics of the exhibit in all aspects, to ensure that the lighting can achieve a balance between protecting the exhibit and good display effect in static state.According to the real-time crowd dynamic information and scene time state near the exhibit, the scene dynamic lighting strategy is generated, so that the lighting can be dynamically adjusted with the change of scene.The preset lighting scheme is accurately realized, the intelligent lighting control result is obtained, the efficiency and accuracy of lighting control are improved, manual intervention is not needed, the display effect is improved while the labor cost is reduced, and an intelligent, convenient and efficient lighting solution for exhibition is provided.

[0006] The application provides an intelligent lighting control method combined with exhibit features, comprising:

[0007] S1: determining the ultraviolet sensitive level and lighting restriction condition of the exhibit based on the material of the exhibit;

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

[0009] S3: simulating the optimal light projection angle based on the three-dimensional digital model and core display area of the exhibit to generate the brightness distribution scheme of the LED matrix, and simultaneously, generating the color temperature distribution scheme of the LED matrix based on the color space database and color temperature complementary strategy of the exhibit;

[0010] S4: generating the basic static lighting strategy of the exhibit based on the ultraviolet sensitive level, lighting restriction condition, lighting atmosphere parameter range, brightness distribution scheme and color temperature distribution scheme of the LED matrix of the exhibit;

[0011] S5: generating the scene dynamic lighting strategy of the exhibit based on the real-time crowd dynamic information and scene time state near the exhibit and the basic static lighting strategy;

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

[0013] Optionally, S1: determining the ultraviolet sensitive level and lighting restriction condition of the exhibit based on the material of the exhibit, comprising:

[0014] The surface of the exhibit is scanned by a fiber-optic spectrometer to obtain a reflectance spectrum curve, and the ultraviolet absorption distribution characteristics of the surface of the exhibit are determined based on the reflectance spectrum curve, wherein the ultraviolet absorption distribution characteristics include the positions and absorption intensities of ultraviolet absorption peaks in the reflectance spectrum curve at each location on the surface of the exhibit;

[0015] Color coordinate distribution data of the surface of the exhibit are obtained;

[0016] The ultraviolet absorption distribution characteristics and the color coordinate distribution data of the surface of the exhibit are input into an exhibit material sensitivity grade definition model to obtain all material types on the surface of the exhibit and the distribution coordinates, ultraviolet sensitivity grades, and core sensitive factors of each material type;

[0017] The ultraviolet sensitivity grade of the exhibit is determined based on the distribution coordinates and the ultraviolet sensitivity grades of all material types on the surface of the exhibit;

[0018] The multi-dimensional limiting parameter table is searched based on all material types on the surface of the exhibit and the ultraviolet sensitivity grades and core sensitive factors of each material type to determine the multi-dimensional limiting parameters of each material type;

[0019] The multi-dimensional limiting parameters of all material types on the surface of the exhibit are intersected to obtain the lighting limiting conditions of the exhibit.

[0020] Optionally, the ultraviolet sensitivity grade of the exhibit is determined based on the distribution coordinates and the ultraviolet sensitivity grades of all material types on the surface of the exhibit, including:

[0021] The distribution area of each material type is determined based on the distribution coordinates of each material type on the surface of the exhibit;

[0022] The ratio of the distribution area of each material type to the sum of the distribution areas of all material types is taken as the weight of each material type on the surface of the exhibit;

[0023] The ultraviolet sensitivity grades of all material types on the surface of the exhibit are added by weight based on the weights of all material types on the surface of the exhibit to obtain the ultraviolet sensitivity grade of the exhibit.

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

[0025] The profile of the exhibit is scanned by a 3D camera, the colorimetric distribution data of the surface of the exhibit are obtained by a color sensor, a three-dimensional digital model of the exhibit and a color space database are established, and the core display area is marked on the three-dimensional digital model of the exhibit;

[0026] determining, based on the coordinate representation of the contour of the core display area in the preset three-dimensional coordinate system, a coordinate representation in the preset three-dimensional coordinate system of at least one plane that is not intersected with all coordinate points in the core display area except the contour points and is intersected 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, marking 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, calculating the distance between each point in the core display area and each point in the intersection contour range of each plane, and screening the maximum distance in all distances of each plane as the reference distance of each plane;

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

[0030] taking 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, determining the optimal light projection position, and based on the optimal light projection position, determining 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 comprises:

[0033] marking the outermost protruding points of the surface of the exhibit in the three-dimensional digital model of the exhibit, and determining the connecting line between each two outermost protruding points in the core display area as the limit light projection reference line;

[0034] determining the intersection point of each two 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 point;

[0035] taking the point farthest from the reference plane in the core display area as the highest point of the core display area, and taking the straight line passing through the highest point and perpendicular to the reference plane as the simulated light source center line, and in all projection points of the limit light source line intersection points on the simulated light source center line, screening the projection point position 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, determining the optimal light projection position of the LED matrix.

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

[0038] Based on the optimal light projection position of the LED matrix, all intersection points between the limit light projection reference lines and the plane of the LED matrix are determined, and the LED matrix local area surrounded by all intersection points between the limit light projection reference lines and the plane of the LED matrix in the plane of the LED matrix is taken 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 light backlight area distribution ratio, the positive light area and the backlight area are marked in the three-dimensional digital model of the exhibit, and the brightness distribution scheme of the LED matrix is determined based on the coordinates 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 distribution scheme of the LED matrix is generated, including:

[0041] Based on the optimal light projection position 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 and the color space database of the exhibit and the color temperature complementary strategy, a color temperature distribution scheme of 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 and the color space database of the exhibit and the color temperature complementary strategy, a color temperature distribution scheme of the LED matrix is generated, including:

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

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

[0047] The complementary color temperature values of each non-boundary pixel point and the complementary color temperature values of each boundary pixel point in the distribution area of each primary color tone in the light projection range of each LED lamp in the LED matrix on the exhibit surface are calculated based on the complementary scale of all primary color tones in the local color space data of each LED lamp in the LED matrix in the light projection range of the exhibit surface, the cross-color softness of all adjacent distribution areas, and the local color space data of each LED lamp in the LED matrix in the light projection range of the exhibit surface.

[0048] The average value of the complementary color temperature values of all non-boundary pixel points and the complementary color temperature values of all boundary pixel points in the distribution area of all primary color tones in the light projection range of each LED lamp in the LED matrix on the exhibit surface is taken as the color temperature value of the corresponding LED lamp in the LED matrix, and a color temperature distribution scheme of the LED matrix is obtained.

[0049] Optionally, S5: based on the real-time crowd dynamic information and scene time state near the exhibit and the basic static lighting strategy, a scene-based dynamic linkage lighting strategy of the exhibit is generated, including:

[0050] Based on the real-time crowd dynamic information near the exhibit, the audience distribution characteristics of the exhibit are analyzed, wherein the audience distribution characteristics include audience distribution density, audience farthest distance and audience nearest distance;

[0051] Based on the audience distribution characteristics of the exhibit and the scene time state, scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix are generated;

[0052] Based on the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix and the basic static lighting strategy, a scene-based dynamic linkage lighting strategy of the exhibit is generated.

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

[0054] The material feature analysis module is used for determining the ultraviolet sensitivity level and the lighting restriction condition of the exhibit based on the material of the exhibit;

[0055] The historical background feature analysis module is used for searching a preset lighting style library based on the historical background of the exhibit, and determining the lighting atmosphere parameter range of the exhibit;

[0056] The appearance feature analysis module is used for simulating an optimal light projection angle based on the three-dimensional digital model and the core display area of the exhibit, generating a brightness distribution scheme of the LED matrix, and simultaneously generating a color temperature distribution scheme of the LED matrix based on the color space database and the color temperature complementary strategy of the exhibit;

[0057] A static lighting strategy generation module is configured to generate a basic static lighting strategy of the exhibit based on the UV sensitivity level of the exhibit, the lighting restriction condition, the lighting atmosphere parameter range, the brightness distribution scheme of the LED matrix, and the color temperature distribution scheme of the LED matrix;

[0058] A dynamic lighting strategy generation module is configured to generate a scenario-based dynamic linkage lighting strategy of the exhibit based on real-time human flow dynamic information and scene time state near the exhibit and the basic static lighting strategy;

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

[0060] The present application has the following beneficial effects over the prior art: the UV sensitivity level and the lighting restriction condition are determined based on the material of the exhibit, which can effectively protect the exhibit and avoid damage caused by improper UV or lighting, and ensure the long-term perfect display of the exhibit. The lighting atmosphere parameter range is determined according to the historical background of the exhibit, which makes the lighting match the content of the exhibit from the atmosphere, and enables the visitors to better feel the cultural information carried by the exhibit and improve the exhibition experience. The optimal light projection angle is simulated by using the three-dimensional digital model of the exhibit, and the brightness distribution scheme is generated, the color space database and the color temperature complementary strategy are used to generate the color temperature distribution scheme, the display effect is optimized from the light projection angle, brightness and color temperature, the core display area of the exhibit is highlighted, and the details and characteristics of the exhibit are presented in all directions through scientific use of light, so that the exhibit is more attractive in vision. The basic static lighting strategy is generated by comprehensively considering the UV sensitivity level, the lighting restriction condition, the lighting atmosphere parameter range, the brightness and the color temperature distribution scheme, which fully considers the characteristics of the exhibit, lays a solid foundation for the subsequent dynamic lighting strategy, and ensures that the lighting can achieve the balance between protecting the exhibit and good display effect in the static state. The scenario-based dynamic linkage lighting strategy is generated according to the real-time human flow dynamic information and the scene time state near the exhibit, and the basic static lighting strategy, so that the lighting can be dynamically adjusted according to the scene change. For example, the lighting is enhanced to highlight the exhibit when there are many people, and different lighting atmospheres are adopted in different time periods. Such dynamic changes not only can attract the attention of visitors, but also can create a unique visiting atmosphere and improve the interest and interactivity of the exhibition. The intelligent lighting control is performed on the LED matrix based on the scenario-based dynamic linkage lighting strategy, the preset lighting scheme is accurately implemented, the intelligent lighting control result is obtained, the efficiency and accuracy of the lighting control are improved, manual frequent intervention is not needed, the display effect is improved while the labor cost is reduced, and an intelligent, convenient and efficient lighting solution for the exhibition is provided.

[0061] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description and claims hereof.

[0062] The technical solutions of the present application are described in further detail below with reference to the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0063] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application together with the embodiments thereof, and explain the present application, but are not intended to limit the present application. In the drawings:

[0064] Figure 1 The flow chart of the intelligent lighting control method combined with the characteristics of exhibits in the embodiments of the present application;

[0065] Figure 2 The flow chart of the generation process of the brightness allocation scheme of the LED matrix in the embodiments of the present application. DETAILED DESCRIPTION

[0066] The preferred embodiments of the present application are described below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and are not intended to limit the present application.

[0067] Reference Figure 1 The present application provides an embodiment of an intelligent lighting control method combined with the characteristics of exhibits, comprising:

[0068] S1: determining the ultraviolet sensitivity level and lighting restriction condition of the exhibit based on the material of the exhibit;

[0069] The material of the exhibit refers to the material (metal / ceramics / fabric / painting, etc.) constituting the exhibit, and different materials have different sensitivity 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 refers to the level divided according to the sensitivity of the material of the exhibit to ultraviolet rays, which is used to measure the risk of the exhibit being affected by ultraviolet rays. The surface of the exhibit is scanned by a spectrum scanning method to determine the level, such as high, medium and low levels, and the high sensitivity level indicates that the exhibit is easily damaged by ultraviolet rays;

[0071] The lighting restriction condition refers to the restriction requirement for the lighting of the exhibit based on the characteristics of the material of the exhibit. For example, the ultraviolet radiation intensity and the lighting duration are limited, such as the ultraviolet radiation of oil painting should be ≤50 lux and the ultraviolet radiation of ancient books should be ≤20 lux, in order to protect the exhibit and avoid damage caused by improper lighting;

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

[0073] Among them, the historical background of the exhibits: including the era of the exhibits, cultural background, use and other information, these factors affect the lighting atmosphere suitable for the exhibits. For example, ancient paintings may be suitable for creating simple and soft lighting atmosphere;

[0074] Pre-set lighting style library: a pre-established database containing various lighting styles and related parameters, each style corresponds to a specific lighting atmosphere parameter. For example, there are different lighting parameter sets of classical style, modern style and other styles;

[0075] The lighting atmosphere parameter range of the exhibits: according to the historical background of the exhibits, the lighting parameter interval suitable for the exhibits is retrieved from the pre-set lighting style library, such as brightness range, color tone, etc., which is used to create an atmosphere that fits the historical connotation of the exhibits;

[0076] S3: Based on the three-dimensional digital model of the exhibits and the core display area, simulate the optimal light projection angle, generate the brightness distribution scheme of the LED matrix, and 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;

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

[0078] Core display area: the part of the exhibit that needs to be highlighted and displayed, such as the inscription area on cultural relics, the key figure part in the painting, etc. Determining the core display area helps to design the lighting specifically;

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

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

[0081] Color space database of exhibits: a database that stores color information of exhibits, including color types and color gamut range of each part of the exhibits, which provides a basis for color temperature distribution;

[0082] Color temperature complementary strategy: use the principle of complementary color temperature and exhibit color to make the exhibit color more vivid and real under light. For example, warm-toned exhibits are matched with relatively cool light to enhance the visual effect;

[0083] Color temperature distribution scheme of LED matrix: according to the color space database of the exhibits and the color temperature complementary strategy, the color temperature setting of each LED lamp in the LED matrix is determined to make the light and the color of the exhibits coordinated with each other.

[0084] S4: generating a basic static lighting strategy of the exhibits based on the ultraviolet sensitivity level of the exhibits, the lighting restriction conditions, the lighting atmosphere parameter range, the brightness distribution scheme and the color temperature distribution scheme of the LED matrix;

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

[0086] S5: generating a scene-based dynamic linkage lighting strategy of the exhibits based on the real-time human flow dynamic information near the exhibits and the scene time state and the basic static lighting strategy;

[0087] The real-time human flow dynamic information near the exhibits: refers to the real-time personnel flow situation around the exhibits, such as audience distribution density, the nearest and farthest distance between the audience and the exhibits, etc. For example, during the exhibition peak period, the audience distribution density is high; for example, using an infrared thermal imaging sensor to count the audience gathering density, when a certain area > 2 people / ㎡, the brightness of the key area of the exhibits is increased by 20%, and a dynamic light and shadow guide path is started.

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

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

[0090] S6: intelligent lighting control of the LED matrix based on the scene-based dynamic linkage lighting strategy, obtaining the intelligent lighting control result. That is, according to the generated scene-based dynamic linkage lighting strategy, the brightness, color temperature and other parameters of the LED matrix are intelligently adjusted, and finally the precise lighting of the exhibits is realized, achieving the ideal display effect.

[0091] In an alternative embodiment, S1: determining the ultraviolet sensitivity level and lighting restriction conditions of the exhibits based on the material of the exhibits, including:

[0092] Based on the optical fiber spectrometer, the surface of the exhibits is scanned to obtain a reflectance spectrum curve, and the ultraviolet absorption distribution characteristics of the surface of the exhibits are determined based on the reflectance spectrum curve, wherein the ultraviolet absorption distribution characteristics include the ultraviolet absorption peak position and the absorption intensity in the reflectance spectrum curve of each part of the surface of the exhibits:

[0093] The spectrometer collects the light information reflected by the surface of the exhibits and converts it into a reflectance spectrum curve. From the reflectance spectrum curve, the ultraviolet absorption distribution characteristics of the surface of the exhibits can be analyzed. The ultraviolet absorption peak position (such as the strong absorption peak at 300 nm indicating organic material) here is like a "hot spot" position of ultraviolet absorption, indicating where the surface of the exhibits is concentrated on ultraviolet absorption; the absorption intensity (A = log(1 / R), R is the reflectivity) reflects the strength of the ultraviolet absorption ability of these "hot spots". For example, if the absorption peak at a certain position is high, it indicates that the position has strong ultraviolet absorption ability.

[0094] Obtain the color coordinate distribution data of the surface of the exhibits; the color coordinate distribution data can describe the color information of different positions on the surface of the exhibits, which can help further understand the material characteristics of the exhibits. For example, through the color coordinates, it can be known that a certain area of the exhibits is red or blue, and different colors may indicate different material components.

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

[0096] The ultraviolet absorption distribution characteristics and the color coordinate distribution data obtained in the foregoing are input into the exhibit material sensitivity level definition model. After model processing, all the material types on the surface of the exhibits and the distribution coordinates of each material on the surface of the exhibits can be obtained, which is like "labeling the map" for each material on the surface of the exhibits. At the same time, the ultraviolet sensitivity level of each material and the core sensitive factors affecting the ultraviolet sensitivity of each material can also be known, for example, some materials may be sensitive to ultraviolet light because they contain special chemical components.

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

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

[0099] The material sensitivity level definition model of the exhibit is trained through a large amount of manual calibration of the ultraviolet light absorption distribution characteristics and color coordinate distribution data of the surface of the exhibit, and manual calibration of all material types on the surface of the exhibit and the distribution coordinates, ultraviolet light sensitivity levels and core sensitive factors of each material type.

[0100] The ultraviolet light sensitivity level of the exhibit is determined based on the distribution coordinates and ultraviolet light sensitivity levels of all material types on the surface of the exhibit.

[0101] The multi-dimensional restriction parameter table is retrieved based on all material types on the surface of the exhibit and the ultraviolet light sensitivity levels and core sensitive factors of each material type, and the multi-dimensional restriction parameters of each material type are determined.

[0102] According to all material types on the surface of the exhibit and the corresponding ultraviolet light sensitivity levels and core sensitive factors of each material type, the multi-dimensional restriction parameter table is retrieved. This table is like a "lighting rule book" that specifies a series of restriction parameters for different materials and different sensitive conditions. By retrieving, the multi-dimensional restriction parameters corresponding to each material type can be determined, which may include illumination intensity restriction, ultraviolet light content restriction, illumination duration restriction, etc.

[0103] The multi-dimensional restriction parameters of all material types on the surface of the exhibit are processed by intersection, and the lighting restriction conditions of the exhibit are obtained. Since the exhibit may be composed of multiple materials, the restriction parameters of all materials need to be considered comprehensively. Therefore, the multi-dimensional restriction parameters of all material types are processed by intersection, that is, the common part of all material restriction parameters is found. After this processing, the result obtained is the final lighting restriction condition of the exhibit, which ensures that the lighting will not cause damage to the exhibit.

[0104] In an alternative embodiment, the ultraviolet light sensitivity level of the exhibit is determined based on the distribution coordinates and ultraviolet light sensitivity levels of all material types on the surface of the exhibit, including:

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

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

[0107] The ultraviolet light sensitivity levels of all material types on the surface of the exhibit are weighted and added based on the weights of all material types on the surface of the exhibit, and the ultraviolet light sensitivity level of the exhibit is obtained.

[0108] According to the weight of all materials, the UV sensitivity level of each material is weighted and added to obtain the overall UV sensitivity level of the exhibit. For example, there are three materials, the weights are 0.3, 0.5 and 0.2, and the UV sensitivity levels are 3, 2 and 1 respectively. Then the overall UV 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 optimal light projection angle simulation of the core display area, the brightness distribution scheme of the LED matrix is generated, referring to Figure 2 , including:

[0110] The 3D camera is used to scan the contour of the exhibit, and the color sensor is used to obtain the color distribution data of the surface of the exhibit. A three-dimensional digital model of the exhibit and a color space database are established, and the core display area is marked in the three-dimensional digital model of the exhibit. The beneficial effect of this is that it can accurately focus on the key parts of the exhibit, so that visitors can more clearly understand the core content of the exhibit.

[0111] The color distribution data of the surface of the exhibit represents the color range covered by the color of the surface of the exhibit.

[0112] Based on the coordinate representation of the contour of the core display area in the preset three-dimensional coordinate system, the coordinate representation of at least one plane in the preset three-dimensional coordinate system is determined, which does not intersect with all coordinate points in the core display area except the contour points and intersects with at least two non-adjacent contour points of the core display area. That is, according to the coordinates of the contour of the core display area in the preset three-dimensional coordinate system, at least one plane is found which does not intersect with all coordinate points in the core display area except the contour points and intersects with at least two non-adjacent contour points of the core display area, and its coordinate representation in the preset three-dimensional coordinate system is determined.

[0113] The preset three-dimensional coordinate system is a three-dimensional space coordinate system set by humans, which is used to accurately determine the position and direction 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 positioning 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, the intersection contour of the exhibit and the plane is marked. The boundary that the plane contacts with the exhibit is the intersection contour. This intersection contour is very important, as it clearly shows the specific range on the exhibit that the light will directly illuminate when the light is projected from the direction of the plane. This makes us have a more intuitive understanding of the range of light, which facilitates subsequent analysis of the coverage of the light, so as to reasonably distribute 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, the distance between each point in the core display area and each point in the intersection contour range of each plane is calculated, and the maximum distance in all distances of each plane is selected as the reference distance of each plane. The plane with the minimum reference distance in all planes is selected as the reference plane of the core display area. In this way, the effect of projecting light to the core display area of each plane is quantitatively evaluated. Finally, the plane with the minimum reference distance in all planes is found as the reference plane of the core display area. This plane means that the distance between the points of the core display area and the light coverage boundary is relatively more uniform when the light is projected from this direction, which helps to avoid local over-brightness or over-darkness and makes the lighting more uniform.

[0116] The angle perpendicular to the participating plane is taken as the optimal light projection angle. Such angle setting can make the light more vertically illuminate the core display area, maximize the exhibition of the details of the exhibits, enhance the stereoscopic effect, avoid shadows or deformation caused by inclined light, and improve the visual effect of the exhibits.

[0117] Based on the three-dimensional digital model of the exhibits and the optimal light projection angle, the optimal light projection position is determined. According to the three-dimensional digital model of the exhibits and the determined optimal light projection angle, the position in the space that can make the light illuminate the core display area of the exhibits with the best effect is found. It is determined after considering various factors such as the shape of the exhibits, the position and direction of the core display area, and the optimal light projection angle. For example, for a sculpture with complex texture, 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 on the upper left of the sculpture, the light can follow the ups and downs of the texture and maximize the exhibition of the details and stereoscopic effect of the sculpture texture. This upper left position is the optimal light projection position. Determining the optimal light projection position is crucial to achieving the ideal display effect of the exhibits. It can make the light accurately illuminate the core display area, highlight the features of the exhibits, avoid problems such as shadow blocking key parts or uneven light distribution caused by improper light projection position, and thus improve the visual appeal and expressiveness of the exhibits.

[0118] Based on the optimal light projection position, the brightness distribution scheme of the LED matrix is determined. For example, in the display of a sculpture, the optimal light projection angle is calculated to find the most suitable position to place the light source in the exhibition hall space. Based on the optimal light projection position, the brightness distribution scheme of the LED matrix is determined, such as setting a higher brightness for the LED lights corresponding to the core display area and appropriately reducing the brightness in the surrounding area to highlight the key display area, achieve precise lighting of the exhibits, optimize the display effect of the exhibits, and attract the attention of visitors.

[0119] The whole process provides scientific basis for the lighting design of the exhibits from multiple angles through accurate modeling, calculation and analysis, so that the lighting scheme is more in line with the needs of the exhibits, the characteristics of the exhibits are highlighted to the greatest extent, and the viewing experience of visitors is improved.

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

[0121] In the three-dimensional digital model of the exhibits, the outermost protruding points of the exhibit surface are marked, which represent the boundary positions of the exhibits protruding outward in space, and they are the points farthest from the center or average position of the exhibit surface in various directions. For example, the fingertips of a statue, the edges of the ears, etc.

[0122] Then, the connecting lines between the two outermost protruding points in the core display area are determined as the limit light projection reference lines; these reference lines can be understood as the boundary lines around the core display area from different directions, which provide a reference for determining the limit range of light projection. For example, for a vase core display area, there may be multiple limit light projection reference lines connecting the protruding points such as the vase mouth and the bottle body. The purpose of this is to plan the light projection direction from various possible extreme angles to ensure that the core display area can be fully and reasonably illuminated.

[0123] The intersection of the light projection side of the reference plane of the two limit light projection reference lines in the core display area is determined as the intersection point 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, which is of great significance to 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 that the light ray passes through from the light source to the core display area of the exhibits. Imagine a transparent reference plane placed near the core display area of the exhibits. When the optimal light projection angle is determined, the light ray will pass through this plane from a certain direction to illuminate the exhibits. The side of the plane where the light ray propagates is the light projection side of the reference plane.

[0125] The point in the core display area farthest from the reference plane is taken as the highest point of the core display area, for example, in a core display area of a displayed hill model, the top of the hill is the highest point.

[0126] The straight line passing through the highest point and being perpendicular to the reference plane is taken as the center line of the simulated light source, which can be understood as a virtual light path perpendicular to the reference plane from the highest point.

[0127] Among the projection points of all the intersection points of the limit light source lines on the center line of the simulated light source, the projection point position farthest from the reference plane is selected as the lowest light projection position of the point light source. The projection point is a point obtained by vertically projecting the intersection point of the limit light source line onto the center line of the simulated light source. The reason for selecting 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, so that the point light source can cover all parts of the core display area to a certain extent when it projects light at the lowest light projection position, and can highlight the highest point, making the exhibit more visually layered. For example, in the core display area of a statue, a point light source projected from this lowest light projection position can better show the details of the head (assuming it is the highest point) of the statue, 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, the optimal light projection position of the LED matrix is determined. The exhibition space data of the exhibit includes various information related to the exhibition site, such as the size (length, width, and height) of the exhibition space, the shape (whether it is square, circular, or irregular), and the spatial layout (such as the location distribution of the exhibit in the exhibition hall, whether there are obstacles around, etc.). The size distribution data of the LED matrix, i.e., the size, shape, and arrangement of each LED light of the LED matrix; 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] 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 are input into the LED matrix optimal light projection position determination model to determine the optimal light projection position of the LED matrix. The model is trained using a large number of exhibition space data of exhibits, size distribution data of LED matrices, center lines of simulated light sources, and lowest light projection positions of point light sources, as well as the optimal light projection positions of LED matrices determined by artificial lighting simulation.

[0130] By comprehensive analysis and calculation of these factors, the optimal light projection position of the LED matrix in space (represented by the three-dimensional coordinates of each point in the LED matrix in the preset three-dimensional coordinate system) is finally determined. This position can ensure that the light emitted by the LED matrix effectively illuminates the core display area of the exhibit based on the optimal light projection angle, taking into account the limitations of the exhibition space and the characteristics of the LED matrix itself. For example, if the exhibition space is relatively narrow, the LED matrix may need to be placed closer to the exhibit, and when the size of the LED matrix is larger, the position may need to be adjusted according to its size to ensure that the light uniformly and fully covers the core display area. The optimal light projection position thus determined can achieve the best lighting effect for the core display area of the exhibit, highlighting the key points of the exhibit and improving the overall display quality.

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

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

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

[0134] And based on the coordinate representation of the front light area, the backlight area, and the main light area of the LED matrix in the preset three-dimensional coordinate system, the brightness distribution scheme of the LED matrix is determined. That is, the coordinate representation of the front light area, the backlight area, and the main light area of the LED matrix in the preset three-dimensional coordinate system is input into the brightness distribution model to obtain the brightness distribution scheme of the LED matrix.

[0135] The model is trained using the optimal LED matrix brightness distribution scheme determined by the coordinate of the front light area, the back light area, and the main light area of the LED matrix in the preset three-dimensional coordinate system, and the corresponding exhibition item.

[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 of the front of the exhibition item; while for the LED lights corresponding to the back light area, a lower brightness is set to create a sense of hierarchy and three-dimensionality. Through such brightness setting based on the coordinates of different areas and functional requirements, precise lighting of the exhibition item can be achieved, highlighting the core display area, making the exhibition item present a better display effect in vision, meeting the display needs of different exhibition items, and allowing visitors to observe the features of the exhibition items more clearly.

[0137] In an alternative embodiment, based on the color space database of the exhibition item and the color temperature complementary strategy, a color temperature distribution scheme of the LED matrix is generated, 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 exhibition item is determined; according to the principles of optics and spatial geometry, the area covered by the light emitted by each LED light in the matrix on the surface of the exhibition item, i.e. the light projection range, can be calculated. This is similar to projecting light from a specific position of a light source to a target object in a three-dimensional space, and the area formed on the surface of the object by the light.

[0139] Based on the light projection range of each LED light in the LED matrix on the surface of the exhibition item and the color space database of the exhibition item (which stores detailed color information of each area on the surface of the exhibition item, including color type, hue, saturation, etc. For example, for a painting, the database may record the specific color values of different parts of the painting, 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 (which is a strategy that utilizes the interaction between color temperature and exhibition item color. Different colors of exhibition items will exhibit different visual effects under the illumination of light of a certain color temperature. The color temperature complementary strategy aims to select appropriate color temperature to make the colors of the exhibition items more vivid and lively, achieving visual balance and harmony. For example, for warm-toned exhibition items, light with relatively cold color temperature can enhance the contrast of colors and make the colors of the exhibition items more prominent), a color temperature distribution scheme of the LED matrix is generated.

[0140] Based on the above information, for each LED light in the LED matrix, the specific color information of the exhibits in the light projection range of the LED light on the exhibit surface is obtained from the color space database of the exhibits. Then, according to the color temperature complementary strategy, the color temperature of each LED light is matched with the color of the exhibits in the light projection range of the LED light. For example, if the color of the exhibits in the light projection range of a certain LED light is mainly red, according to the color temperature complementary strategy, a cold color temperature such as 4000K-5000K can be assigned to the LED light to highlight the brightness and level of the red color. Through such operation on the light projection range of each LED light, the color temperature distribution scheme of the entire LED matrix is finally generated, ensuring that the exhibits in different areas can present the best display effect under the irradiation of light with appropriate color temperature, enhancing the visual appeal and performance of the exhibits.

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

[0142] Based on the color space database of the exhibits, the local color space data in the light projection range of each LED light in the LED matrix on the exhibit surface is determined.

[0143] Based on the types (such as red, blue, etc.) and distribution areas of all the dominant color tones in the local color space data in the light projection range of each LED light in the LED matrix on the exhibit surface, the complementary scale (used to measure the complementary degree between each dominant color tone and the lighting color temperature) of all the dominant color tones in the local color space data in the light projection range of each LED light in the LED matrix on the exhibit surface is determined. For example, the ratio of the distribution area of each dominant color tone to the total distribution area of all the dominant color tones in the local color space data is taken as the complementary scale. The dominant color tone with larger distribution area may have higher weight in determining the complementary scale. For example, if the red color tone has a larger distribution area in the light projection range, the lighting color temperature complementary to the red color temperature will be considered in the calculation of the complementary scale. This complementary scale will help us determine the color temperature matched with each dominant color tone to achieve better color display effect.

[0144] The color difference value between the adjacent distribution regions of all the primary hues in the local color space data of each LED lamp in the LED matrix within the light projection range on the exhibit surface, that is, the difference between the average chroma values of all the pixel points in the coverage range of the two adjacent primary hues, and the cross-color softness of the corresponding adjacent distribution region are determined based on the color difference value.

[0145] The complementary color temperature value of each non-boundary pixel point and the complementary color temperature value of each boundary pixel point of each primary hue in the distribution region of each LED lamp in the LED matrix within the light projection range on the exhibit surface are calculated based on the complementary scale of all the primary hues in the local color space data of each LED lamp in the LED matrix within the light projection range on the exhibit surface, the cross-color softness of all the adjacent distribution regions corresponding thereto, and the local color space data of each LED lamp in the LED matrix within the light projection range on the exhibit surface. The complementary color temperature value of the non-boundary pixel point is mainly calculated based on the complementary scale of the primary hue in which it is located, because the color environment around the non-boundary pixel point is relatively single. The complementary color temperature value of the boundary pixel point is calculated by simultaneously considering the complementary scale of the adjacent primary hue and the cross-color softness, because the boundary pixel point is located at the junction of two primary hue regions, so as to ensure that the light color temperature can be naturally connected at the transition of different color regions. For example, the complementary color temperature value of the boundary pixel point at the junction of the red primary hue and the yellow primary hue is calculated by comprehensively considering the complementary scale of red and yellow and the cross-color softness therebetween. Specifically, it includes:

[0146] The complementary scale = the primary hue distribution area ratio * the complementary degree of the primary hue and the corresponding illumination complementary color (the complementary degree of red and green is 1, the complementary degree of yellow and purple is 0.8, and the complementary degree of blue and orange is 0.9, which can be obtained by retrieving the complementary relationship between different colors).

[0147] The red hue complementary scale = 0.4 * 1 = 0.4.

[0148] The yellow hue complementary scale = 0.3 * 0.8 = 0.24.

[0149] The blue hue complementary scale = 0.3 * 0.9 = 0.27.

[0150] Assuming the color difference value of the red and yellow adjacent area is 10 (the color difference value range is assumed to be 0-100, 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 red and yellow adjacent area is 1-10 / 100 = 0.9; the color difference value of the yellow and blue adjacent area is 15, and the cross-color softness is 1-15 / 100 = 0.85; the red and blue are not adjacent, and are not considered for the time being.

[0151] The 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 red tone non-boundary pixel point = 0.4 * 5000 = 2000K.

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

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

[0154] Red and yellow boundary pixel points: when calculating, the complementary scales of red and yellow and the cross-color softness between them need to be considered:

[0155] The complementary color temperature value of the boundary pixel point = (red complementary scale * cross-color softness + yellow complementary scale * cross-color softness) * basic color temperature value / 2. Substituting the values can obtain:

[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 and blue boundary pixel point = (0.24 * 0.85 + 0.27 * 0.85) * 5000 / 2 = (0.204 + 0.2295) * 2500 = 1083.75K.

[0158] The average value of the complementary color temperature values of all non-boundary pixel points and all boundary pixel points in the distribution area of each LED light in the LED matrix in the light range of the exhibit surface is taken as the color temperature value of the corresponding LED light in the LED matrix, and the color temperature values of all LED lights are collected to obtain the color temperature distribution scheme of the LED matrix.

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

[0160] The audience distribution characteristics of the exhibits are analyzed based on real-time crowd dynamic information near the exhibits, wherein the audience distribution characteristics include audience distribution density, audience farthest distance, and audience closest distance.

[0161] The audience distribution density is an index for measuring the audience gathering degree around the exhibits. For example, in a popular art exhibition, a valuable painting may attract a large number of audiences to stop and appreciate, and at this time, the audience distribution density near the exhibit is high. In the cold area of the exhibition, the audience is sparse, and the audience distribution density near the corresponding exhibit is low. Through the camera or sensor installed in the exhibition hall, the number of audiences in a unit area is counted to determine the audience distribution density.

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

[0163] The audience closest distance is the minimum distance between the audience and the exhibit. In a museum, a certain safety distance is usually set to protect the exhibits, but some audiences may try to get as close as possible to observe the details, and the minimum distance at this time is the audience closest distance. It is important to ensure the safety of the exhibits and adjust the lighting to meet the needs of close observation by the audience, and it can also be obtained by position detection means.

[0164] By analyzing these real-time crowd dynamic information, the audience distribution characteristics can be obtained, which can understand the attention and spatial distribution of the audience to the exhibits, and provide a basis for subsequent lighting adjustment.

[0165] Based on the audience distribution characteristics of the exhibits and the scene time state, scene dynamic adjustment parameters of the lighting parameters of the LED matrix are generated.

[0166] The scene time state covers different times and stages of the exhibition. For example, during the day and at night, due to different environmental light, the lighting effect required by the exhibits will also be different; during the opening of the exhibition, regular exhibition, and closing, different lighting atmospheres may be needed.

[0167] The lighting parameter adjustment parameters of the LED matrix are generated in combination with the audience distribution characteristics and the scene time state. For example, when the audience distribution density is high and in the opening stage (scene time state) of the exhibition, in order to create a warm atmosphere and ensure that each audience can clearly appreciate the exhibits, the brightness of the LED matrix can be increased, and the color temperature is adjusted to make the light brighter and warmer. At this time, the generated lighting parameter adjustment parameters will indicate to increase the brightness value and appropriately reduce the color temperature value. For example, at night, there are fewer audiences (audience distribution characteristics), in order to create a quiet atmosphere, the brightness can be reduced, and the color temperature can be adjusted to a cooler tone, and the adjustment parameters of reducing the brightness and increasing the color temperature are generated accordingly. These adjustment parameters will determine how to dynamically change the basic static lighting strategy.

[0168] Based on the scene dynamic adjustment parameters of the lighting parameters of the LED matrix and the basic static lighting strategy, a scene dynamic linkage lighting strategy of the exhibits is generated.

[0169] The basic static lighting strategy is a lighting scheme prepared in advance based on various characteristics of the exhibits, such as material, historical background, color, etc., which provides basic stable lighting effects for the exhibits.

[0170] By applying the scene dynamic adjustment parameters of the lighting parameters of the LED matrix to the basic static lighting strategy, a scene dynamic linkage lighting strategy can be generated. For example, the brightness of the basic static lighting strategy is set to 50%, and the color temperature is set to 4000K. According to the scene dynamic adjustment parameters, if the brightness is required to be increased to 80% and the color temperature is required to be reduced to 3500K, then the newly generated scene dynamic linkage lighting strategy will control the LED matrix according to these adjusted parameters, so that the lighting of the exhibits can change in real time according to the audience situation and the scene time state, providing a lighting environment that better meets the actual needs of the audience, enhancing the audience's visiting experience, and also better displaying the characteristics of the exhibits.

[0171] The present application provides an embodiment of an intelligent lighting control method combined with exhibit characteristics, comprising:

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

[0173] The historical background feature analysis module is used to search a preset lighting style library based on the historical background of the exhibits to determine the lighting atmosphere parameter range of the exhibits.

[0174] The appearance feature analysis module is used to simulate the optimal light projection angle based on the three-dimensional digital model of the exhibits and the core display area, generate a brightness distribution scheme of the LED matrix, and simultaneously generate a color temperature distribution scheme of the LED matrix based on the color space database of the exhibits and the color temperature complementary strategy.

[0175] The static lighting strategy generation module is configured to generate a basic static lighting strategy for the exhibit based on the ultraviolet sensitivity level of the exhibit, the lighting restriction condition, the lighting atmosphere parameter range, the brightness distribution scheme of the LED matrix, and the color temperature distribution scheme of the LED matrix;

[0176] The dynamic lighting strategy generation module is configured to generate a scenario-based dynamic linkage lighting strategy for the exhibit based on real-time human flow dynamic information and scene time state near the exhibit and the basic static lighting strategy.

[0177] The intelligent lighting control module is configured to perform intelligent lighting control on the LED matrix based on the scenario-based dynamic linkage lighting strategy, and obtain an intelligent lighting control result.

[0178] The material feature analysis module in the system determines the ultraviolet sensitivity level and the lighting restriction condition based on the material of the exhibit, which can effectively protect the exhibit from damage caused by ultraviolet rays and improper lighting, and ensure that the exhibit is in good condition for long-term display. The historical background feature analysis module determines the lighting atmosphere parameter range based on the historical background of the exhibit, so that the lighting atmosphere matches the content of the exhibit and improves the perception of cultural information of the exhibit by visitors. The appearance feature analysis module generates the brightness and color temperature distribution scheme through a three-dimensional digital model, optimizes the visual display effect from multiple dimensions such as light projection angle, brightness, and color temperature, and highlights the characteristics of the exhibit. The static lighting strategy generation module generates a basic static lighting strategy by comprehensively considering multiple factors, and provides a comprehensive and balanced basic setting for lighting. The dynamic lighting strategy generation module generates a scenario-based dynamic linkage lighting strategy by combining real-time human flow dynamic information and scene time state and the basic static strategy, so that the lighting changes with the scene, and the interest and interactivity are enhanced. The intelligent lighting control module performs intelligent control on the LED matrix based on the dynamic strategy, efficiently and accurately realizes the preset lighting scheme, reduces labor costs, and provides an intelligent, convenient, and comprehensive lighting solution for the exhibition, and comprehensively improves the quality of the exhibition.

[0179] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A method of intelligent lighting control in conjunction with exhibit features, characterized by, Comprise: S1: based on the fiber spectrometer on the surface of the exhibits spectral scanning, obtain the reflectance spectrum curve, and extract the ultraviolet absorption distribution characteristics, combined with the color coordinate distribution data input to the exhibits material quality sensitive grade definition model, obtain all kinds of material on the surface of the exhibits and the distribution of each material, ultraviolet sensitive level, core sensitive factor; By weighted calculation on the distribution of all kinds of material on the surface of the exhibits and the ultraviolet sensitive level, determine the ultraviolet sensitive level of the exhibits; Based on all kinds of material on the surface of the exhibits and the ultraviolet sensitive level of each material, core sensitive factor retrieval multidimensional limit parameter table, determine the multidimensional limit parameter of each material; The intersection processing of multidimensional limit parameter of all kinds of material on the surface of the exhibits, obtain the lighting limit condition of the exhibits; S2: based on the exhibits historical background retrieval preset lighting style library, determine the lighting atmosphere parameter range of the exhibits; S3: use 3D camera and color sensor to establish the three-dimensional digital model of the exhibits and color space database, and mark the core display area in the three-dimensional digital model of the exhibits; Determine the optimal light angle by filtering the reference plane of the core display area, determine the optimal light position combined with the limit light reference line and the simulation light source center line, divide the main light area, the positive light area and the backlight area, generate the brightness distribution scheme of LED matrix, at the same time, based on the optimal light position of LED matrix, determine the light range of each LED lamp, extract the local color space data in the light range, calculate the complementary scale of the main color and the cross color softness, respectively determine the complementary color temperature value of the non boundary and boundary pixel points, take the average value as the color temperature value of each LED lamp, generate the color temperature distribution scheme; S4: based on the ultraviolet sensitive level of the exhibits, the illumination limit condition, the lighting atmosphere parameter range, the brightness distribution scheme and the color temperature distribution scheme of LED matrix, generate the basic static lighting strategy of the exhibits; S5: get the audience distribution characteristics including audience distribution density, audience farthest distance and audience nearest distance, combined with scene time to generate lighting parameter dynamic adjustment parameter, superimposed with the basic static lighting strategy to generate scene dynamic linkage lighting strategy; S6: based on the scene dynamic linkage lighting strategy, the intelligent lighting control is carried out on the LED matrix, and the intelligent lighting control result is obtained.

2. The method of intelligent lighting control in conjunction with exhibit features of claim 1, wherein, S1: based on the material of the exhibits to determine the ultraviolet sensitive level and the lighting limit condition of the exhibits, comprising: Based on the fiber spectrometer on the surface of the exhibits spectral scanning, obtain the reflectance spectrum curve, based on the reflectance spectrum curve to determine the ultraviolet absorption distribution characteristics on the surface of the exhibits, wherein the ultraviolet absorption distribution characteristics include the ultraviolet absorption peak position and absorption intensity in the reflectance spectrum curve of each place on the surface of the exhibits; Get the color coordinate distribution data of the surface of the exhibits; The ultraviolet absorption distribution characteristics and color coordinate distribution data on the surface of the exhibits are input into the exhibits material quality sensitive grade definition model to obtain all kinds of material on the surface of the exhibits and the distribution of each material, ultraviolet sensitive level, core sensitive factor; Based on the distribution of all kinds of material on the surface of the exhibits and the ultraviolet sensitive level, determine the ultraviolet sensitive level of the exhibits; Determine the multi-dimensional restriction parameters of each material based on the multi-dimensional restriction parameter table of all material types on the exhibit surface and the UV sensitivity level and core sensitive factor of each material type; Take the intersection of the multi-dimensional restriction parameters of all material types on the exhibit surface to obtain the lighting restriction conditions of the exhibit.

3. The method of intelligent lighting control in conjunction with exhibit features of claim 2, wherein, Determine the UV sensitivity level of the exhibit based on the distribution coordinates and UV sensitivity level of all material types on the exhibit surface, including: Determine the distribution area of each material based on the distribution coordinates of each material on the exhibit surface; 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; Add the UV sensitivity levels of all materials on the exhibit surface by weight based on the weights of all material types on the exhibit surface to obtain the UV sensitivity level of the exhibit.

4. The method of intelligent lighting control in conjunction with exhibit features of claim 1, wherein, Simulate 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: Scan the outline of the exhibit using a 3D camera, obtain the color distribution data of the exhibit surface using a color sensor, 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; Determine the coordinate representation of at least one plane in the preset three-dimensional coordinate system that does not intersect all coordinate points in the core display area except the outline points and intersects at least two non-adjacent outline points of the core display area; 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, mark the intersection outline 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 outline on each plane, and select the maximum distance as the reference distance of each plane from all distances on each plane; Select the plane with the smallest reference distance from all planes as the reference plane of the core display area; Take the angle perpendicular to the participating plane as the optimal light projection angle; Determine the optimal light projection position based on the three-dimensional digital model of the exhibit and the optimal light projection angle, and determine the brightness distribution scheme of the LED matrix based on the optimal light projection position.

5. The method of intelligent lighting control in conjunction with exhibit features of claim 4, wherein, Determine the optimal light projection position based on the three-dimensional digital model of the exhibit and the optimal light projection angle, including: Mark the outermost protruding points of the exhibit surface in the three-dimensional digital model of the exhibit, determine the connecting lines between each pair of outermost protruding points in the core display area as the limit light projection reference lines; Determine the intersection of the 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 point; Take the point farthest from the reference plane in the core display area as the highest point of the core display area, and take the straight line passing through the highest point and perpendicular to the reference plane as the simulation light source center line. In all projection points of the limit light source line intersection points on the simulation light source center line, select the projection point position farthest from the reference plane as the lowest light projection position of the point light source; Determine the optimal light projection position of the LED matrix based on the exhibition space data of the exhibits, 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.

6. The method of intelligent lighting control in conjunction with exhibit features of claim 4, wherein, Determine the brightness allocation scheme of the LED matrix based on the optimal light projection position, including: Determine all intersection points between the limit light projection reference lines and the LED matrix plane based on the optimal light projection position of the LED matrix, and regard the LED matrix local area surrounded by all intersection points between 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. Mark the positive light area and the backlight area in the three-dimensional digital model of the exhibits based on the lowest light projection position of the point light source and the preset positive light backlight area allocation ratio, and determine the brightness allocation scheme of the LED matrix based on the coordinates of the positive light area, the backlight area, and the main light area of the LED matrix in the preset three-dimensional coordinate system.

7. The method of intelligent lighting control in conjunction with exhibit features of claim 1, wherein, Generate the color temperature allocation scheme of the LED matrix based on the color space database of the exhibits and the color temperature complementary strategy, including: Determine the light projection range of each LED lamp in the LED matrix on the surface of the exhibits based on the optimal light projection position of the LED matrix. Generate the color temperature allocation scheme of the LED matrix based on the light projection range of each LED lamp in the LED matrix on the surface of the exhibits, the color space database of the exhibits, and the color temperature complementary strategy.

8. The method of intelligent lighting control in conjunction with exhibit features of claim 7, wherein, Generate the color temperature allocation scheme of the LED matrix based on the light projection range of each LED lamp in the LED matrix on the surface of the exhibits, the color space database of the exhibits, and the color temperature complementary strategy, including: Determine the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibits based on the color space database of the exhibits; Determine the complementary scale of all 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 exhibits based on the types and distribution areas of all 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 exhibits; Determine the cross-color softness of adjacent distribution areas based on the color difference value between the dominant hues of adjacent distribution areas in the distribution area of all 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 exhibits; 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 dominant hue within the light projection range of each LED lamp in the LED matrix on the surface of the exhibits based on the complementary scale of all dominant hues, the cross-color softness of all adjacent distribution areas, and the local color space data within the light projection range of each LED lamp in the LED matrix on the surface of the exhibits. Take the average value of the complementary color temperature values of all non-boundary pixel points and the complementary color temperature values of all boundary pixel points in the distribution area of all dominant hues within the light projection range of each LED lamp in the LED matrix on the surface of the exhibits 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.

9. The method of intelligent lighting control in conjunction with exhibit features of claim 1, wherein, S5: Based on the real-time crowd dynamic information near the exhibit and the scene time state and the basic static lighting strategy, a scene-based dynamic linkage lighting strategy of the exhibit is generated, including: Based on the real-time crowd dynamic information near the exhibit, the audience distribution characteristics of the exhibit are analyzed, wherein the audience distribution characteristics include audience distribution density, audience farthest distance, and audience nearest distance; Based on the audience distribution characteristics of the exhibit and the scene time state, scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix are generated; Based on the scene-based dynamic adjustment parameters of the lighting parameters of the LED matrix and the basic static lighting strategy, a scene-based dynamic linkage lighting strategy of the exhibit is generated.

10. An intelligent lighting control system incorporating exhibit features, characterized by, It includes: The material feature analysis module is used for spectral scanning of the exhibit surface based on the fiber spectrometer, obtaining the reflection spectrum curve, and extracting the ultraviolet absorption distribution feature, and inputting the color coordinate distribution data into the exhibit material sensitivity level definition model to obtain all material types on the exhibit surface and the distribution coordinates, ultraviolet sensitivity level, and core sensitive factors of each material; The ultraviolet sensitivity level of the exhibit is determined by weighted calculation of the distribution coordinates and ultraviolet sensitivity level of all material types on the exhibit surface; Based on all material types on the exhibit surface and the ultraviolet sensitivity level and core sensitive factors of each material, a multi-dimensional restriction parameter table is searched to determine the multi-dimensional restriction parameters of each material; The multi-dimensional restriction parameters of all material types on the exhibit surface are intersected to obtain the lighting restriction conditions of the exhibit; The historical background feature analysis module is used to search the preset lighting style library based on the exhibit historical background to determine the lighting atmosphere parameter range of the exhibit; The appearance feature analysis module is used to establish a three-dimensional digital model of the exhibit and a color space database using a 3D camera and a color sensor, and to mark the core display area in the three-dimensional digital model of the exhibit; The optimal light projection angle is determined by filtering the reference plane of the core display area, the optimal light projection position is determined by combining the extreme light projection reference line and the simulated light source center line, the main light area, the positive light area and the backlight area are divided, the brightness distribution scheme of the LED matrix is generated, at the same time, the light projection range of each LED lamp is determined based on the optimal light projection position of the LED matrix, the local color space data in the light projection range is extracted, the complementary scale of the dominant color and the cross-color softness are calculated, the complementary color temperature values of the non-boundary and boundary pixel points are determined respectively, and the average value is taken as the color temperature value of each LED lamp to generate the color temperature distribution scheme; The static lighting strategy generation module is used to generate the basic static lighting strategy of the exhibit 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; The dynamic lighting strategy generation module is used to obtain the audience distribution characteristics including audience distribution density, audience farthest distance, and audience nearest distance, and to generate lighting parameter dynamic adjustment parameters combined with the scene time state to generate a scene-based dynamic linkage lighting strategy with the basic static lighting strategy; The intelligent lighting control module is used to intelligently control the LED matrix based on the scene-based dynamic linkage lighting strategy to obtain the intelligent lighting control result.

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