A multi-sensor adaptive light and shadow interactive system for digital exhibition spaces

Abstract

This invention discloses a multi-sensor adaptive light and shadow interaction system for digital exhibition spaces, belonging to the field of digital exhibition space environmental control technology. It solves the technical problems of insufficient response and poor adjustment stability of existing light and shadow control systems to environmental and audience behavior changes. The system includes a multi-sensor acquisition unit, a data fusion unit, an adaptive light and shadow control unit, a light and shadow execution unit, and a feedback adjustment unit. Through the fusion processing of multi-source sensor data, it achieves accurate identification of the exhibition space's operating status. Combined with closed-loop feedback adjustment, it achieves adaptive updates of light and shadow parameters, enabling coordinated output of light sources and projections and fine-grained control of different zones. This invention effectively improves the response accuracy and operational stability of light and shadow control, and is suitable for light and shadow environment control in various types of digital exhibition spaces.

Description

Technical Field

[0001] This invention relates to the field of digital exhibition space environment control technology, specifically to a multi-sensor adaptive light and shadow interaction system for digital exhibition spaces. Background Technology

[0002] In digital exhibition spaces, lighting and projection equipment are typically used together to create the exhibition environment, thereby achieving the creation of spatial atmosphere and the expression of exhibition content. As the core exhibition carrier in scenarios such as museums, science and technology museums, and commercial exhibition halls, the lighting system is the core that determines the exhibition effect and audience experience. It needs to adapt to environmental fluctuations and audience behavior characteristics, and the industry has put forward higher requirements for its adaptability, interactive response accuracy, and operational stability.

[0003] In the existing technology, a digital exhibition hall lighting intelligent central control method and system with patent publication number "CN202111033808.6" collects images of the exhibition hall environment through cameras, identifies the age distribution of visitors in the exhibition hall, calculates weight coefficients based on the proportion of people in each age group, and comprehensively calculates light intensity and chromaticity parameters in combination with the light environment characteristics required by the exhibits, and finally controls the exhibition hall lighting equipment. However, this technology has a single sensing dimension, only obtaining audience age information through image acquisition, and lacks a multi-source sensor data dynamic fusion mechanism, which cannot comprehensively and accurately identify the operating status of the exhibition space; it has not established a lighting and projection coordinated control system, lacks a complete closed-loop feedback link, and has insufficient light and shadow adjustment accuracy and anti-interference ability. Another patent, with the publication number "CN202511841009.X", describes a method and system for optimizing and controlling the lighting environment parameters of an exhibition space based on illuminance perception. This patent constructs a three-dimensional model by acquiring semantic information of the exhibition and spatial constraints, divides the illuminance control area, and determines the target light parameter control range by integrating the light-sensitive damage rate and importance of exhibits. It solves for the optimal light parameters for each time period through a multi-objective optimization function to achieve adaptive control of the lighting equipment in the exhibition space. However, this technical solution only focuses on illuminance perception, does not incorporate the sensing and acquisition of audience behavior information and interactive adaptation, lacks a multi-source data fusion processing mechanism, does not achieve coordinated output of lighting and projection, and lacks a stable light and shadow control mechanism. Its light and shadow adaptability and interactivity are seriously insufficient.

[0004] Existing lighting control systems for digital exhibition spaces typically employ preset program control or single sensor-triggered control. Some solutions use cameras to capture video of the exhibition space and employ simple image recognition to identify the number of visitors or their behavior, thereby controlling the operation of the lighting equipment. However, these systems generally only process single types of data or use simple threshold judgments to generate control commands. There is a lack of a unified fusion mechanism between various types of sensor data. Furthermore, due to the uncertainty of visitor density, dwelling positions, and changes in natural lighting in the exhibition space, relying solely on single sensor information or fixed control rules can easily lead to delayed lighting control response, unstable adjustment, uneven brightness in local areas, and discontinuous lighting changes. In addition, the lack of a coordinated control mechanism between lighting and projection equipment, as well as a complete closed-loop feedback adjustment chain, makes it difficult to meet the needs of high-quality digital exhibitions. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art, the present invention provides a multi-sensor adaptive light and shadow interaction system for digital exhibition spaces, so as to solve the technical problems of insufficient response and poor adjustment stability of existing light and shadow control systems to environmental changes and audience behavior changes.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A multi-sensor adaptive light and shadow interaction system for digital exhibition spaces includes a multi-sensor acquisition unit and a light and shadow execution unit, as well as a data fusion unit, an adaptive light and shadow control unit, and a feedback adjustment unit.

[0008] The multi-sensor acquisition unit is used to collect environmental information and visitor behavior information in the digital exhibition space, and send the acquisition results to the data fusion unit.

[0009] The data fusion unit is used to perform time synchronization, noise filtering, feature extraction and fusion processing on the received environmental information and audience behavior information to generate fused feature data that characterizes the operating status of the exhibition space, and send it to the adaptive light and shadow control unit.

[0010] The adaptive light and shadow control unit is used to identify the operating status of the exhibition space based on the received fusion feature data and generate corresponding light and shadow control parameters.

[0011] The light and shadow execution unit is used to control the light source component and the projection component to perform coordinated light and shadow output according to the received light and shadow control parameters;

[0012] The feedback adjustment unit is used to collect the actual light and shadow presentation results after the output of the light and shadow execution unit, and update the light and shadow control parameters according to the deviation between the actual light and shadow presentation results and the target light and shadow parameters, thus forming a closed loop of light and shadow adjustment.

[0013] Preferably, the multi-sensor acquisition unit includes at least three of the following: a light sensor, an infrared sensor, a depth camera, an environmental noise sensor, and a temperature and humidity sensor.

[0014] The light sensor is used to collect light intensity data of the exhibition space, and the infrared sensor is used to detect the behavior of visitors entering and approaching the area.

[0015] The depth camera is used to acquire the audience's three-dimensional posture, movement trajectory and dwelling behavior information, and the environmental noise sensor is used to collect spatial noise fluctuation information;

[0016] The temperature and humidity sensor is used to collect temperature and humidity parameters of the exhibition space.

[0017] Preferably, the data fusion unit includes a preprocessing module, a feature extraction module, and a weight fusion module;

[0018] The preprocessing module is used to perform timestamp alignment, noise filtering, and validity detection on multi-source sensor data.

[0019] The feature extraction module is used to extract brightness gradient, audience density, regional activity and environmental disturbance coefficient features from the preprocessed sensor data.

[0020] The weighted fusion module is used to perform weighted fusion processing on the extracted features.

[0021] Preferably, the weight fusion module determines the weights corresponding to each feature quantity based on sensor reliability and scene change rate, according to the formula: Generate fused feature vectors.

[0022] in, This represents the i-th feature quantity. F* represents the weight corresponding to the i-th feature, and F* represents the final generated fused feature vector.

[0023] The weights satisfy a dynamic update relationship: ,

[0024] in, For weight preservation coefficients, The characteristic weights of the previous period, The normalized characteristic change. These are the updated feature weights.

[0025] Preferably, the adaptive light and shadow control unit includes a spatial state recognition module, a light and shadow pattern generation module, and a command output module;

[0026] The spatial status recognition module is used to identify the current operating status of the exhibition space based on the fused feature data;

[0027] The light and shadow mode generation module is used to generate a corresponding light and shadow parameter set based on the identified operating status of the exhibition space.

[0028] The instruction output module is used to convert the light and shadow parameter group into control instructions and send them to the light and shadow execution unit.

[0029] Preferably, the light and shadow parameter group includes brightness parameter B, color temperature parameter T, gradient speed parameter R, and projection contrast parameter C;

[0030] The rate of change of brightness satisfies the following constraint: The rate of color temperature change satisfies the following constraint: In the formula, For adjustment coefficients, This is the time constant for the transition between light and shadow.

[0031] Preferably, the multi-sensor adaptive light and shadow interaction system for digital exhibition spaces also includes a parameter dynamic update module and a light and shadow stabilization control module;

[0032] The parameter dynamic update module is used to trigger parameter updates when the brightness change rate, audience density change rate, or area activity change rate reaches a preset threshold.

[0033] The light and shadow stabilization control module is used to suppress brightness jumps, correct color temperature deviations, and balance local brightness during the light and shadow adjustment process.

[0034] Preferably, the system also includes a region hierarchical processing module, which is used to divide the exhibition space into regions based on the point cloud data acquired by the depth camera, determine and execute region merging or region splitting operations based on the region behavior correlation, and output partition lighting control commands.

[0035] The correlation between the regional behaviors satisfies the following calculation relationship: ,in, Let the degree of behavioral correlation between region i and region j be denoted as . Let i be the regional activity of the i-th region. Let the activity level of region j be denoted as . Let be the center distance between region i and region j.

[0036] A multi-sensor adaptive light and shadow control method for digital exhibition spaces includes the following steps:

[0037] S1. Collect environmental information and visitor behavior information in the exhibition space through a combination of multiple sensors;

[0038] S2. Perform time synchronization, noise filtering, and validity detection on the collected environmental information and audience behavior information, and extract the brightness gradient, audience density, regional activity and environmental disturbance coefficient features.

[0039] S3. Based on sensor reliability and scene change rate, weighted fusion of each feature quantity is performed to generate fused feature data characterizing the operating status of the exhibition space;

[0040] S4. Identify the current operating status of the exhibition space based on the fused feature data, and generate corresponding light and shadow control parameters;

[0041] S5. According to the light and shadow control parameters, control the light source component and the projection component to perform coordinated light and shadow output;

[0042] S6. Collect the actual rendering result after the light and shadow output, and calculate the output deviation between the actual light and shadow rendering result and the target light and shadow parameters;

[0043] S7. When the output deviation exceeds the preset threshold, the light and shadow control parameters are updated to form a closed-loop adjustment.

[0044] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is used to implement the above-described multi-sensor adaptive light and shadow control method for digital exhibition spaces.

[0045] The beneficial effects of this invention are as follows:

[0046] 1. This invention comprehensively collects environmental and audience behavior information within the exhibition space from multiple dimensions through a multi-sensor acquisition unit. A data fusion unit performs time synchronization, noise filtering, feature extraction, and weighted fusion processing on the multi-source sensor data, enabling comprehensive and accurate identification of the real-time operating status of the exhibition space. This effectively solves the problems of inaccurate status identification and delayed light and shadow control response caused by existing technologies relying on single sensor information or fixed control rules. Combined with a complete closed-loop adjustment link constructed by a feedback adjustment unit, this significantly improves the adaptability and operational stability of the light and shadow control system to changes in the environment and audience behavior.

[0047] 2. This invention achieves coordinated control of the light source component and the projection component through an adaptive light and shadow control unit. Combined with the synergistic effect of the parameter dynamic update module, the regional hierarchical processing module, and the light and shadow stabilization control module, it can dynamically update the light and shadow control parameters based on the changes in the working conditions of the exhibition space, realize refined light and shadow control of the exhibition space in different zones, and suppress and correct brightness jumps and color temperature deviations during the light and shadow adjustment process, thereby ensuring the continuity and uniformity of light and shadow output, effectively improving the light and shadow display effect of the digital exhibition space and the audience's viewing experience. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0049] Figure 1 This is a schematic diagram of the overall system architecture of the present invention;

[0050] Figure 2 This is a schematic diagram of the data fusion unit structure and workflow of the present invention;

[0051] Figure 3 This is a schematic diagram of the adaptive light and shadow control unit structure of the present invention;

[0052] Figure 4 This is a schematic diagram of the closed-loop control process of the feedback adjustment unit of the present invention;

[0053] Figure 5 This is a schematic diagram of the workflow of the regional hierarchical processing module of the present invention. Detailed Implementation

[0054] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0055] Reference Figures 1 to 5 The present invention provides a multi-sensor adaptive light and shadow interaction system for digital exhibition spaces, comprising a multi-sensor acquisition unit, a data fusion unit, an adaptive light and shadow control unit, a light and shadow execution unit, and a feedback adjustment unit. The units are interconnected via wired or wireless communication, forming a continuous chain of perception, analysis, control, and feedback adjustment, thereby achieving adaptive adjustment and closed-loop control of the light and shadow effects in the exhibition space.

[0056] Example 1

[0057] The multi-sensor acquisition unit is deployed at a preset location in the digital exhibition space to collect environmental information and visitor behavior information in the digital exhibition space, and sends the collection results to the data fusion unit in real time.

[0058] Environmental information includes parameters that reflect the state of the space environment, such as light intensity, ambient noise, temperature, and humidity. Visitor behavior information includes parameters that reflect visitor behavior, such as visitor density, dwelling areas, and movement trajectories.

[0059] Understandably, the multi-sensor acquisition unit is the foundation for the system to perceive the state of the exhibition space, and the multi-dimensional data it collects is the core basis for subsequent adaptive adjustment of light and shadow.

[0060] The data fusion unit receives multi-source data sent by the multi-sensor acquisition unit and performs time synchronization, noise filtering, feature extraction and fusion processing on the received environmental information and audience behavior information to generate fused feature data that characterizes the operating status of the exhibition space. The fused feature data is then sent to the adaptive light and shadow control unit.

[0061] Multi-source sensor data comes from different types of sensors and has inherent differences in acquisition frequency and acquisition time. At the same time, it is susceptible to noise data caused by interference from the exhibition space environment. Through the standardization processing of the data fusion unit, the temporal differences and interference errors of multi-source data can be eliminated, the core features that can reflect the real operating status of the space can be extracted, and unified fusion feature data can be generated to improve the accuracy and stability of subsequent space status identification.

[0062] The adaptive light and shadow control unit receives fusion feature data sent by the data fusion unit, and uses this data to identify the operating status of the exhibition space and generate corresponding light and shadow control parameters.

[0063] The exhibition space operates under various conditions, including no visitors, low visitor flow, high visitor flow, and significant fluctuations in ambient lighting. Each operating condition has a corresponding preset lighting and shadow control strategy. The adaptive lighting and shadow control unit determines the current operating condition of the exhibition space by matching feature data with preset conditions, and then generates lighting and shadow control parameters that are adapted to the current conditions, thereby achieving dynamic adaptation between lighting and shadow effects and the spatial state.

[0064] The light and shadow execution unit receives light and shadow control parameters sent by the adaptive light and shadow control unit, and uses these parameters to control the light source component and projection component to perform coordinated light and shadow output.

[0065] The coordinated output of the light source and projection components can achieve visual matching between the basic lighting atmosphere of the exhibition space and the projected content, avoiding the problem of the lighting environment and the projected image being out of sync, ensuring the consistency of the visual effect of the exhibition space, and enhancing the audience's immersive experience.

[0066] The feedback adjustment unit is deployed in the exhibition space to collect the actual light and shadow presentation results after the output of the light and shadow execution unit. It updates the light and shadow control parameters based on the deviation between the actual light and shadow presentation results and the target light and shadow parameters, forming a closed loop of light and shadow adjustment.

[0067] The feedback adjustment unit can collect the actual brightness and color parameters after the light and shadow output in real time, compare them with the target light and shadow parameters to calculate the output deviation, and when the deviation exceeds the preset acceptable range, it will correct the light and shadow control parameters in real time to ensure the consistency between the light and shadow output effect and the design target, and improve the stability of the system in long-term operation.

[0068] Example 2

[0069] This embodiment, based on the scheme of Embodiment 1, provides a detailed description of the specific implementation of the multi-sensor acquisition unit and the data fusion unit.

[0070] In some alternative implementations, the multi-sensor acquisition unit includes at least three of the following: a light sensor, an infrared sensor, a depth camera, an ambient noise sensor, and a temperature and humidity sensor.

[0071] Specifically, light sensors are evenly distributed at the top and walls of the exhibition space to collect light intensity data in different areas, providing a basic lighting reference for light and shadow adjustment. Infrared sensors are placed at the entrances of each exhibit and in front of the exhibits to detect visitors' entry and approach behavior, enabling an initial perception of visitor viewing behavior.

[0072] Depth cameras are deployed at the top of the exhibition space in an unobstructed position, with the shooting direction facing the viewing area of ​​the exhibition space. They are used to obtain information on the three-dimensional posture, movement trajectory and dwelling behavior of the audience, so as to achieve accurate identification of the spatial distribution and viewing behavior of the audience.

[0073] Environmental noise sensors are deployed on the side walls of the exhibition space to collect information on spatial noise fluctuations, thereby helping to determine the level of pedestrian activity in the exhibition space.

[0074] Temperature and humidity sensors are placed at the corners of the exhibition space to collect temperature and humidity parameters and help determine the environmental conditions of the space.

[0075] The data fusion unit includes a preprocessing module, a feature extraction module, and a weight fusion module. The preprocessing module performs timestamp alignment, noise filtering, and validity checks on multi-source sensor data to improve the accuracy of subsequent feature calculations.

[0076] Timestamp alignment is based on the unified system clock. A linear interpolation method is used to unify sensor data with different sampling frequencies to the same time node, thereby achieving time alignment of all multi-source data and eliminating analysis errors caused by different acquisition times of different sensors.

[0077] Noise filtering employs a moving average filtering method to remove abrupt interference values ​​in the acquired data, improving the smoothness and stability of the sensor data. Validity detection uses a three-standard-deviation method to eliminate invalid data that exceeds three standard deviations from the sensor's acquisition range and mean, ensuring the validity of the data for subsequent feature extraction and fusion processing.

[0078] The feature extraction module is used to extract features such as brightness gradient, audience density, regional activity, and environmental disturbance coefficient from the preprocessed sensor data, thereby forming a feature set. The brightness gradient is the ratio of the difference in illumination intensity between adjacent areas in the exhibition space to the distance between areas, and is used to characterize the uniformity and variation trend of spatial illumination.

[0079] Audience density is the number of visitors per unit viewing area, used to characterize the scale of foot traffic in the exhibition space. Area activity is the weighted sum of the dwell time and movement frequency of visitors within the corresponding area, used to characterize the audience attention to the corresponding exhibit.

[0080] The environmental disturbance coefficient is the normalized variation of natural light and environmental noise, used to characterize the degree of fluctuation in the space environment.

[0081] The weighted fusion module is used to perform weighted fusion processing on each feature quantity based on sensor reliability and scene change rate, and generate a fused feature vector according to the following formula: in, This represents the i-th feature quantity. F* represents the weight corresponding to the i-th feature, and F* represents the final generated fused feature vector.

[0082] Sensor reliability is determined based on the acquisition accuracy and anti-interference capability of the corresponding sensor, and scene change rate is determined based on the change amplitude and frequency of the corresponding feature quantity. Based on this, different weights are assigned so that the fused feature data can better fit the actual operating state of the exhibition space.

[0083] The weights satisfy a dynamic update relationship, specifically updated according to the following formula: , where α is the weight preservation coefficient, which ranges from 0 to 1 and is used to balance the impact of historical weights and current feature changes on the updated weights.

[0084] The characteristic weights of the previous period, The normalized characteristic change. These are the updated feature weights.

[0085] The normalized feature change is obtained by normalizing the difference between the feature values ​​of the current period and the previous period by applying maximum and minimum values. This eliminates the dimensional differences between different feature values ​​and ensures the rationality of the weight update.

[0086] Example 3

[0087] This embodiment, based on the scheme of Embodiment 1, provides a detailed explanation of the specific implementation methods of the adaptive light and shadow control unit, the parameter dynamic update module, and the light and shadow stabilization control module.

[0088] The adaptive lighting and shadow control unit includes a spatial state recognition module, a lighting and shadow pattern generation module, and a command output module.

[0089] The spatial status identification module is used to identify the current operating status of the exhibition space based on the fused feature data. The spatial status identification module pre-stores feature threshold ranges corresponding to different operating states, and matches the received fused feature data with the pre-stored threshold ranges to determine the current operating status of the exhibition space.

[0090] The light and shadow mode generation module is used to generate corresponding light and shadow parameter sets based on the identified operating status of the exhibition space.

[0091] The lighting parameters include brightness parameters, color temperature parameters, gradient speed parameters, and projection contrast parameters.

[0092] Brightness parameters are used to control the output brightness of the light source component, color temperature parameters are used to control the output color temperature of the light source component, gradient speed parameters are used to control the transition time of light and shadow parameter switching, and projection contrast parameters are used to control the image contrast of the projection component.

[0093] To avoid visual abrupt changes and perceptible flickering caused by rapid switching of lighting parameters, the system sets constraints on the rate of change of lighting parameters.

[0094] The rate of change of brightness satisfies the following constraint: The rate of color temperature change satisfies the following constraint: In the formula, B is the brightness parameter, T is the color temperature parameter, k is the adjustment coefficient, and is the maximum allowable adjustment range of the corresponding parameter, used to control the maximum change range of the light and shadow parameters.

[0095] τ is the light and shadow transition time constant, used to control the shortest transition time of changes in light and shadow parameters, ensuring the smoothness of light and shadow changes and avoiding visual discomfort for the audience.

[0096] The instruction output module is used to convert the lighting and shadow parameter set into control instructions and send them to the lighting and shadow execution unit.

[0097] The instruction output module converts the light and shadow parameter set into standard communication protocol instructions that can be recognized by the light source component and the projection component, so as to achieve precise and synchronous control of each device.

[0098] The system also includes a parameter dynamic update module and a light and shadow stabilization control module.

[0099] The parameter dynamic update module includes an update trigger unit, a parameter caching unit, and a weight reconstruction unit.

[0100] The update trigger unit is used to determine whether to trigger the parameter update process based on the rate of change of brightness, the rate of change of audience density, and the rate of change of regional activity. When any feature change reaches a preset threshold, the parameter update process is started.

[0101] The parameter caching unit is used to cache the lighting parameter set of the previous cycle, providing historical data reference for parameter updates.

[0102] The weight reconstruction unit is used to update the weights of each feature based on the change in the feature, so as to achieve dynamic adaptation of the weights to the scene changes.

[0103] The light and shadow stabilization control module includes a flicker suppression unit, a color temperature drift correction unit, and a brightness equalization unit.

[0104] The flicker suppression unit is used to suppress brightness jumps by constraining the rate of brightness change, thereby preventing perceptible flicker from occurring during rapid adjustment of the light source matrix.

[0105] The color temperature drift correction unit is used to correct color temperature deviations in the light and shadow output process in real time, ensuring the accuracy of color temperature output.

[0106] The brightness equalization unit is used to equalize the local brightness of the exhibition space, eliminate the problem of excessively high or low brightness in local areas, and ensure the uniformity of lighting in the exhibition space.

[0107] Example 4

[0108] This embodiment, based on the scheme of Embodiment 1, provides a detailed explanation of the specific implementation method of the regional hierarchical processing module.

[0109] The multi-sensor adaptive light and shadow interaction system for digital exhibition spaces also includes a regional hierarchical processing module. This module is used to divide the exhibition space into regions based on point cloud data acquired by depth cameras, determine and execute region merging or region splitting operations based on the correlation of regional behaviors, and output partitioned light and shadow control commands.

[0110] The regional hierarchical processing module includes a regional division unit, a boundary identification unit, and a block fusion unit.

[0111] The area division unit is used to divide the exhibition space into areas based on point cloud data acquired by depth cameras. Combined with the placement of exhibits, the exhibition space is divided into multiple independent viewing sub-areas, each with an independent light and shadow control channel.

[0112] The boundary recognition unit is used to identify the dynamic changes in the boundaries of the divided areas, ensuring the consistency between the area division and the actual physical boundaries of the exhibition space.

[0113] The block fusion unit is used to determine and execute region merging or region splitting operations based on the correlation of regional behavior, and output partition lighting control instructions.

[0114] The correlation between regional behaviors satisfies the following calculation relationship: in, Let the degree of behavioral correlation between region i and region j be denoted as . Let i be the regional activity of the i-th region. Let the activity level of region j be denoted as . Let be the center distance between region i and region j. It can be understood that a higher regional behavior correlation value indicates a stronger correlation between the audience viewing behaviors of the two regions, allowing them to be merged into a single control zone and subject to a unified lighting and shadow control strategy. Conversely, a lower regional behavior correlation value indicates a greater difference in audience viewing behaviors between the two regions, allowing them to be separated into independent control zones and each zone to implement its own appropriate lighting and shadow control strategy. This achieves refined and adaptive lighting and shadow control within each zone.

[0115] Example 5

[0116] This embodiment provides a multi-sensor adaptive light and shadow control method for digital exhibition spaces, including the following steps:

[0117] S1. Collect environmental information and visitor behavior information in the exhibition space through a combination of multiple sensors. By deploying a combination of multiple types of sensors, comprehensively collect environmental information such as lighting, temperature, humidity, and ambient noise in the exhibition space, as well as visitor behavior information such as visitor density, dwelling areas, and movement trajectories.

[0118] S2. Preprocessing is performed on the collected environmental and audience behavior information, including time synchronization, noise filtering, and validity detection. Brightness gradient, audience density, regional activity, and environmental disturbance coefficient features are extracted. Preprocessing achieves temporal alignment and noise removal of multi-source data, and feature extraction yields core features reflecting the spatial operational status.

[0119] S3. Based on sensor reliability and scene change rate, weighted fusion of various feature quantities is performed to generate fused feature data representing the operational status of the exhibition space. Appropriate weights are assigned to different feature quantities, and unified feature data that comprehensively reflects the operational status of the space is obtained through weighted fusion.

[0120] S4. Identify the current operating status of the exhibition space based on the fused feature data and generate corresponding lighting and shadow control parameters. Determine the current operating conditions of the space through fused feature data matching and generate lighting and shadow control parameters adapted to the current operating conditions.

[0121] S5. Based on the light and shadow control parameters, control the light source component and the projection component to output light and shadow in a coordinated manner. Convert the light and shadow control parameters into control commands that the device can recognize, drive the light source component and the projection component to work together, and output the appropriate light and shadow effects.

[0122] S6. Acquire the actual rendering result after light and shadow output, and calculate the output deviation between the actual light and shadow rendering result and the target light and shadow parameters. Obtain the actual light and shadow output data through the acquisition device, and calculate the output deviation by comparing it with the target parameters.

[0123] S7. When the output deviation exceeds the preset threshold, the lighting control parameters are updated to form a closed-loop adjustment. When the output deviation exceeds the preset acceptable range, the lighting control parameters are corrected in real time to ensure the consistency of the lighting output effect.

[0124] Example 6

[0125] This embodiment provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program is used to implement the aforementioned multi-sensor adaptive light and shadow control method for digital exhibition spaces. The computer-readable storage medium includes a hard disk, flash memory, USB flash drive, read-only memory, random access memory, and optical disk.

[0126] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A multi-sensor adaptive light and shadow interaction system for digital exhibition spaces, comprising a multi-sensor acquisition unit and a light and shadow execution unit, characterized in that, It also includes a data fusion unit, an adaptive light and shadow control unit, and a feedback adjustment unit; The multi-sensor acquisition unit is used to collect environmental information and visitor behavior information in the digital exhibition space, and send the acquisition results to the data fusion unit. The data fusion unit is used to perform time synchronization, noise filtering, feature extraction and fusion processing on the received environmental information and audience behavior information to generate fused feature data that characterizes the operating status of the exhibition space, and send it to the adaptive light and shadow control unit. The adaptive light and shadow control unit is used to identify the operating status of the exhibition space based on the received fusion feature data and generate corresponding light and shadow control parameters. The light and shadow execution unit is used to control the light source component and the projection component to perform coordinated light and shadow output according to the received light and shadow control parameters; The feedback adjustment unit is used to collect the actual light and shadow presentation results after the output of the light and shadow execution unit, and update the light and shadow control parameters according to the deviation between the actual light and shadow presentation results and the target light and shadow parameters, thus forming a closed loop of light and shadow adjustment.

2. The multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 1, characterized in that, The multi-sensor acquisition unit includes at least three of the following: a light sensor, an infrared sensor, a depth camera, an environmental noise sensor, and a temperature and humidity sensor. The light sensor is used to collect light intensity data of the exhibition space, and the infrared sensor is used to detect the behavior of visitors entering and approaching the area. The depth camera is used to acquire the audience's three-dimensional posture, movement trajectory and dwelling behavior information, and the environmental noise sensor is used to collect spatial noise fluctuation information; The temperature and humidity sensor is used to collect temperature and humidity parameters of the exhibition space.

3. The multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 1, characterized in that, The data fusion unit includes a preprocessing module, a feature extraction module, and a weight fusion module; The preprocessing module is used to perform timestamp alignment, noise filtering, and validity detection on multi-source sensor data. The feature extraction module is used to extract brightness gradient, audience density, regional activity and environmental disturbance coefficient features from the preprocessed sensor data. The weighted fusion module is used to perform weighted fusion processing on the extracted features.

4. A multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 3, characterized in that, The weight fusion module determines the weights corresponding to each feature quantity based on sensor reliability and scene change rate, according to the formula: Generate fused feature vectors. in, This represents the i-th feature quantity. F* represents the weight corresponding to the i-th feature, and F* represents the final generated fused feature vector. The weights satisfy a dynamic update relationship: , in, For weight preservation coefficients, The characteristic weights of the previous period, The normalized characteristic change. These are the updated feature weights.

5. A multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 1, characterized in that, The adaptive light and shadow control unit includes a spatial state recognition module, a light and shadow pattern generation module, and a command output module; The spatial status recognition module is used to identify the current operating status of the exhibition space based on the fused feature data; The light and shadow mode generation module is used to generate a corresponding light and shadow parameter set based on the identified operating status of the exhibition space. The instruction output module is used to convert the light and shadow parameter group into control instructions and send them to the light and shadow execution unit.

6. A multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 5, characterized in that, The light and shadow parameter group includes brightness parameter B, color temperature parameter T, gradient speed parameter R, and projection contrast parameter C. The rate of change of brightness satisfies the following constraint: The rate of color temperature change satisfies the following constraint: In the formula, For adjustment coefficients, This is the time constant for the transition between light and shadow.

7. A multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 1, characterized in that, The multi-sensor adaptive light and shadow interaction system for digital exhibition spaces also includes a parameter dynamic update module and a light and shadow stabilization control module. The parameter dynamic update module is used to trigger parameter updates when the rate of change in brightness, the rate of change in audience density, or the rate of change in regional activity reaches a preset threshold. The light and shadow stabilization control module is used to suppress brightness jumps, correct color temperature deviations, and balance local brightness during the light and shadow adjustment process.

8. A multi-sensor adaptive light and shadow interactive system for digital exhibition spaces according to claim 1, characterized in that, The system also includes a region hierarchical processing module, which is used to divide the exhibition space into regions based on point cloud data acquired by the depth camera, determine and execute region merging or region splitting operations based on the region behavior correlation, and output partition lighting control commands. The correlation between the regional behaviors satisfies the following calculation relationship: ,in, Let the degree of behavioral correlation between region i and region j be denoted as . Let i be the regional activity of the i-th region. Let the activity level of region j be denoted as . Let be the center distance between region i and region j.

9. A multi-sensor adaptive light and shadow control method for digital exhibition spaces, characterized in that, Includes the following steps: S1. Collect environmental information and visitor behavior information in the exhibition space through a combination of multiple sensors; S2. Perform time synchronization, noise filtering, and validity detection on the collected environmental information and audience behavior information, and extract the brightness gradient, audience density, regional activity and environmental disturbance coefficient features. S3. Based on sensor reliability and scene change rate, weighted fusion of each feature quantity is performed to generate fused feature data characterizing the operating status of the exhibition space; S4. Identify the current operating status of the exhibition space based on the fused feature data, and generate corresponding light and shadow control parameters; S5. According to the light and shadow control parameters, control the light source component and the projection component to perform coordinated light and shadow output; S6. Collect the actual rendering result after the light and shadow output, and calculate the output deviation between the actual light and shadow rendering result and the target light and shadow parameters; S7. When the output deviation exceeds the preset threshold, the light and shadow control parameters are updated to form a closed-loop adjustment.

10. A computer-readable storage medium according to claim 1, wherein a computer program is stored thereon, characterized in that, When the computer program is executed by the processor, it is used to implement the multi-sensor adaptive light and shadow control method for digital exhibition spaces as described in claim 9.

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