LED eye-protection illumination control method and system

Abstract

The invention relates to the technical field of illumination control, and discloses an LED eye-protection illumination control method and system, and the method comprises the steps: obtaining an indoor panoramic top view, and recognizing three types of illumination control regions: a display device region (ROI1), an operation plane region (ROI2) and an environment transition zone region (ROI3) through a pre-constructed illumination control region detection model; thirdly, performing state identification on the ROI1 and ROI2 areas, and generating a corresponding illumination control strategy according to an identification result so as to realize accurate illumination control on different areas; the problem of contradiction between illumination requirements of a display area and a working area in a traditional illumination scheme can be effectively solved, screen light reflection and uneven desktop illumination caused by ambient light change are avoided, and the visual comfort of a user in various scenes is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting control, and more specifically, to an LED eye protection lighting control method and system. Background Art

[0002] With the continuous improvement of people's requirements for visual health and lighting quality, the application of lighting control technology in various indoor scenarios has become increasingly crucial. Although existing lighting control systems can meet basic lighting needs to a certain extent, there are still many limitations when facing complex and changeable indoor environments and special lighting requirements of different functional areas.

[0003] Chinese Patent with the authorization announcement number CN103124454B proposed a lighting control device. Its core lies in the human body information detection unit judging whether there is someone in the lighting area and the movement speed of people based on the image data obtained by the camera device, and accordingly dividing the lighting area into an area with people staying and an area without people staying, and then implementing differential control on lighting fixtures in different areas. However, the judgment of human activities by this lighting control device is too simple, only based on the movement speed, and it is difficult to accurately identify the specific lighting requirement differences of different functional areas in the room (such as the display device area and the operation plane area), and it is difficult to meet the requirements of refined lighting control in the modern indoor environment.

[0004] Chinese Patent with the authorization announcement number CN117452834B disclosed an intelligent control system for LED lighting in museums. With the help of the museum detection and division module, strong supervision or weak supervision marks are made on the verification area, and intelligent control and cooperation status detection and evaluation of LED lighting in the museum are realized through the area lighting monitoring module and the cooperation degree evaluation module. However, the existing technology mainly focuses on the special display requirements of museums, emphasizes the monitoring of the operating status of lighting fixtures and the evaluation of the overall lighting cooperation effect, and pays insufficient attention to the personalized lighting needs of different functional areas in the room. It also does not involve the accurate identification and status perception of the display device area and the operation plane area, and it is difficult to be applicable to the fine regulation of display device and operation plane lighting in daily scenarios such as offices, homes, and study.

[0005] When the existing technology deals with the lighting requirements of different functional areas in the room, especially in the scenario where a display device and an operation plane coexist, there is generally a problem of inaccurate identification of the lighting requirement differences between areas, and it is difficult to provide comfortable and uniform operation plane lighting while ensuring the display effect. Summary of the Invention

[0006] The present invention is applicable to a variety of indoor scenarios, including but not limited to using a projector for meeting presentations in an office, watching movies and having entertainment with a laser TV or a projection device in a home scenario, and using an electronic display device for teaching or learning activities in a learning place, etc. In these scenarios, the display device and the operation plane often exist simultaneously and require different lighting conditions.

[0007] To overcome the above-mentioned defects of the prior art, the present invention provides an LED eye-protecting lighting control method and system. By obtaining a panoramic top view of the interior and using a pre-constructed lighting control area detection model, it accurately identifies the display device area (ROI1), the operation plane area (ROI2), and the environmental transition zone area (ROI3). It performs real-time status recognition on the ROI1 and ROI2 areas, and dynamically generates a lighting control strategy based on the recognition results. This method can effectively solve the problem of the contradiction in lighting requirements between the display area and the operation plane area in traditional lighting solutions, avoid screen reflection and uneven desktop illuminance caused by ambient light changes, significantly improve the visual comfort of users in various scenarios, and achieve an organic combination of eye protection, energy conservation, and comfortable lighting, providing an intelligent and efficient lighting solution for scenarios such as office, home, and learning.

[0008] To achieve the above object, the present invention provides the following technical solutions: An LED eye-protecting lighting control method, including: Obtaining a panoramic top view of the interior, and identifying three types of lighting control areas through the panoramic top view of the interior and a pre-constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; Performing status recognition on the ROI1 area and the ROI2 area, and generating a lighting control strategy according to the status recognition results of the ROI1 area and the ROI2 area.

[0009] Further, the lighting control area detection model adopts the YOLOv5 framework.

[0010] Further, the method for performing status recognition on the ROI1 area includes: real-time monitoring of the brightness LA of the ROI1 area, and when LA exceeds the first brightness threshold L tha it is determined that the ROI1 area is activated; otherwise, it is determined that the ROI1 area is not activated.

[0011] Further, the method for performing status recognition on the ROI2 area includes: detecting the human activity signal in the ROI2 area, and if no human activity signal is detected for a continuous time of Δt1, it is determined that the ROI2 area is in an idle state; otherwise, it is in a working state.

[0012] Further, the method for generating a lighting control strategy according to the status recognition results of the ROI1 area and the ROI2 area includes: When the ROI1 area is activated and the ROI2 area is in the working state, the sub-region light distribution strategy is started; When the ROI1 area is not activated but the ROI2 area is in the working state, the ROI2 supplementary lighting strategy is started; If the ROI2 area is in the idle state, the energy-saving mode is entered.

[0013] Furthermore, the sub-region light distribution strategy is to perform anti-glare control on the ROI1 area, perform supplementary lighting control on the ROI2 area, and perform gradient control on the ROI3 area.

[0014] Furthermore, the method for performing supplementary lighting control on the ROI2 area includes: Construct a material reflection characteristic table for the ROI2 area, obtain the material of the operation plane in the ROI2 area, query the material reflection characteristic table to obtain the critical reflection angle and half-height width reflection angle of the corresponding material; adjust the irradiation angle of the main light source in the ROI2 area according to the critical reflection angle and half-height width reflection angle of the corresponding material.

[0015] Furthermore, the method for performing supplementary lighting control on the ROI2 area further includes: classifying the working state of the ROI2 area, and performing supplementary lighting control according to the classification result of the working state of the ROI2 area.

[0016] Furthermore, the method for classifying the working state of the ROI2 area includes: Cut the ROI2 area image from the indoor panoramic top view, and identify the paper documents and electronic devices on the operation plane in the ROI2 area according to the ROI2 area image and the pre-constructed operation plane target detection model; If an electronic device is recognized, determine whether the electronic device is in a working state; Classify the working state of the ROI2 area according to the recognition results of the paper documents and electronic devices on the operation plane in the ROI2 area, and whether the electronic device is in a working state.

[0017] The LED eye protection lighting control system is used to implement the above-mentioned LED eye protection lighting control method, and the system includes: Lighting control area recognition module: used to obtain the indoor panoramic top view, and identify three types of lighting control areas through the indoor panoramic top view and the pre-constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; Light distribution strategy generation module: used to perform state recognition on the ROI1 area and the ROI2 area, and generate a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area.

[0018] Compared with the prior art, the beneficial effects of the present invention are: The present invention effectively solves the contradiction between the lighting requirements of the display area and the operation plane area in the traditional lighting scheme by intelligently identifying different functional areas in the room and dynamically adjusting the lighting strategy according to their states. This method can not only accurately adjust the illuminance according to the actual usage states of the display device and the operation plane, avoiding the problem of screen reflection caused by environmental light changes, but also optimize the light source angle and power according to the material characteristics, ensuring that the displayed content is clearly visible while providing a uniform and comfortable lighting environment for the operation plane. In addition, this method also takes into account energy efficiency, automatically switching to the energy-saving mode when not in use, reducing energy consumption. The entire solution realizes the organic combination of eye protection, energy saving and comfortable lighting, providing an intelligent and efficient lighting solution for various scenarios such as office, home and study, and significantly improving the user's visual experience and work / study efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0020] Figure 1 is the principle flow chart of the LED eye protection lighting control method in the present invention; Figure 2 is the method flow chart for constructing the material reflection characteristic table in the LED eye protection lighting control method of the present invention; Figure 3 is the method flow chart for determining the activation of the ROI1 area in the LED eye protection lighting control method of the present invention; Figure 4 is the method flow chart for detecting the human activity signal in the ROI2 area in the LED eye protection lighting control method of the present invention; Figure 5 is the functional module diagram of the LED eye protection lighting control system in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0022] Embodiment 1 Please refer to Figure 1As shown, this embodiment provides an LED eye - protection lighting control method, including: Step S1000, obtain an indoor panoramic top - view image, and identify three types of lighting control areas through the indoor panoramic top - view image and a pre - constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; perform state recognition on the ROI1 area and the ROI2 area, and generate a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area; Further, step S1000 includes: Step S1100, obtain an indoor panoramic top - view image, and identify three types of lighting control areas through the indoor panoramic top - view image and a pre - constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; The method for obtaining the indoor panoramic top - view image is: Collect indoor scene images through fisheye cameras installed at the four corners of the ceiling, perform distortion correction and image stitching on the indoor scene images to obtain the indoor panoramic top - view image.

[0023] Specifically, fish-eye cameras are installed at the four corners of the ceiling. The fish-eye cameras have a wide-angle view and can cover the entire indoor space. The reason for choosing fish-eye cameras is that they can provide a large range of views, enabling the capture of images of the entire indoor environment in a single device. The installation positions and angles of the fish-eye cameras are carefully designed to ensure that their views cover all key areas of the indoor space, including display devices, operating planes, and environmental transition zones. The fish-eye cameras capture images of the indoor scene at a set frame rate (e.g., 30 frames per second). The captured images include all areas of the indoor space, such as display devices (projector screens, TV screens, etc.), operating planes (desks, study tables, etc.), and environmental transition zones. During the image capture process, the parameters of the cameras (such as exposure time, gain, etc.) are dynamically adjusted according to the indoor lighting conditions to ensure image quality. Due to the wide-angle characteristics of the fish-eye cameras, the captured images have significant barrel distortion. The distortion correction processes the images through software algorithms, and the corrected images are closer to the geometric shape of the real scene. The specific implementation method is to use the distortion correction functions in image processing libraries such as OpenCV, input the distortion parameters (such as radial distortion coefficients and tangential distortion coefficients), and correct the images pixel by pixel. The distortion parameters are obtained in advance through the camera calibration process to ensure the accuracy of the correction. The images captured and corrected by the four fish-eye cameras are stitched together to generate a panoramic top view of the indoor space. The stitching process involves image registration and fusion to ensure seamless connection of the images captured by different cameras at the boundaries. The specific implementation method is to use image feature matching (such as SIFT or ORB algorithms) to find the common feature points between the images, and then align and fuse the images through projective transformation. The stitched panoramic top view has high resolution and complete indoor coverage.

[0024] The lighting control area detection model uses the YOLOv5 framework, which is a deep learning-based object detection model. YOLOv5 achieves a good balance between real-time performance and accuracy and is suitable for indoor lighting control scenarios. The structure of the YOLOv5 model includes a backbone network, an intermediate layer, and a detection head. The backbone network extracts image features, the intermediate layer performs feature fusion, and the detection head performs object detection. The input is an indoor panoramic top view, and the output is the coordinates and categories (ROI1, ROI2, ROI3) of the detected lighting control areas. The training data includes panoramic top views of various indoor environments, with each image annotated with the display device area (ROI1), the operation plane area (ROI2), and the environmental transition zone area (ROI3). The annotated data includes the bounding boxes and category labels of the areas. The training dataset covers a variety of indoor scenarios, such as offices, homes, schools, etc., to ensure the generalization ability of the model. During the training process, the annotated images are input into the model, and the loss functions (such as intersection over union loss and classification loss) between the model output and the ground truth labels are calculated. The model parameters are updated through backpropagation and optimization algorithms (such as the Adam optimizer) until the detection accuracy of the model reaches the expected goal. During the training process, the model improves its adaptability to different lighting conditions and environmental changes through data augmentation techniques (such as random cropping, rotation, color adjustment, etc.).

[0025] When traditional methods identify indoor lighting control areas, they often rely on manual annotation or simple image processing algorithms, which are prone to false detections and missed detections in complex indoor environments. By using the YOLOv5 model and combining it with indoor panoramic top views, the display device area, the operation plane area, and the environmental transition zone area can be automatically and accurately identified. The real-time performance and high-precision characteristics of the YOLOv5 model make it perform excellently in indoor lighting control scenarios.

[0026] In step S1100, an indoor panoramic top view is collected through a fisheye camera. Its wide-angle characteristics ensure the integrity of the indoor panoramic top view, and distortion correction and image stitching techniques guarantee the geometric accuracy and visual effect of the image, enabling the generation of a high-quality indoor panoramic top view. The YOLOv5 model extracts image features through deep learning methods and can adapt to changes in different indoor environments. The use of the YOLOv5 model significantly improves the detection accuracy and efficiency of the lighting control area, reducing the workload and errors of manual annotation. The high-quality indoor panoramic top view and accurate area detection results provide reliable basic data for subsequent construction of the material reflection characteristic table and state recognition. Step S1100 provides accurate area information for subsequent generation of the lighting distribution strategy by obtaining the indoor panoramic top view and identifying the lighting control area. Without this step, subsequent generation of the lighting distribution strategy will lack accurate area information, resulting in poor lighting distribution effects and inability to meet the lighting requirements of different areas.

[0027] Step S1200: Construct a material reflection characteristic table for ROI2 area; Furthermore, as Figure 2 shown, Step S1200 includes: Step S1210: Under a standard light source, collect the spectral reflectance R(θ) of typical materials in ROI2 area at different incident angles θ, and plot the θ-R(θ) curve; Step S1220: Analyze the θ-R(θ) curve, extract the key characteristic parameters of the spectral reflectance, and construct a material reflection characteristic table; the key characteristic parameters of the spectral reflectance include the critical specular reflection angle and the half-height width reflection angle; Specifically, first place the typical material samples in the ROI2 area in a standard light source environment to ensure the consistency and stability of the lighting conditions. The standard light source is selected according to relevant lighting standards, such as the CIE standard illuminant D65, to simulate a common indoor lighting environment. Use a high-precision spectrometer to measure the material samples. The resolution and wavelength range of the spectrometer need to meet the accurate analysis of the visible spectrum. During measurement, change the incident angle θ of the light, usually at intervals of 5° in the range of 0° to 60°, to obtain spectral reflectance data at multiple incident angles. In the range of 0° to 60°, the intensity change of the reflected light is relatively significant, which can effectively reflect the reflection characteristics of the material. After exceeding 60°, the intensity change of the reflected light tends to be flat, and even the measurement error may increase. Especially when approaching 90°, the light is almost parallel to the surface, and the intensity of the reflected light will increase sharply, resulting in instability and unreliability of the measurement results. According to the Fresnel's law, the intensity of the reflected light changes with the increase of the incident angle. In the range of 0° to 60°, the intensity change of the reflected light is relatively linear, which can provide more effective data points and help accurately extract the key characteristic parameters of the spectral reflectance. In a common indoor lighting environment, the incident angle of the light usually does not exceed 60°. For example, the lamps on the ceiling are usually designed to shine downward, and the incident angle of the light is generally between 0° and 60°. Incident angles exceeding 60° are relatively rare in practical applications and may cause the light to be too scattered or produce unnecessary shadows and reflections.

[0028] Analyze the collected θ-R(θ) curve to extract the key characteristic parameters of spectral reflectance, including the critical reflection angle and the full width at half maximum reflection angle. The critical reflection angle refers to the starting angle at which the reflected light intensity begins to increase significantly when the incident angle increases to a certain angle, which is closely related to the surface microstructure and optical properties of the material. The full width at half maximum reflection angle refers to the incident angle range corresponding to when the reflected light intensity reaches half of the maximum value, reflecting the light scattering ability of the material. These characteristic parameters are accurately extracted from the θ-R(θ) curve through curve fitting and mathematical analysis methods. When constructing the material reflection characteristic table, using the material type as the index, store the key parameters such as the extracted critical reflection angle and full width at half maximum reflection angle in the table. This reflection characteristic table provides important data support for subsequent supplementary light control, ensuring that the supplementary light strategy can be optimized and adjusted according to the material characteristics.

[0029] In the prior art, the supplementary light control for the operation plane area often fails to fully consider the reflection characteristics of the material, resulting in unsatisfactory supplementary light effects, such as problems like dark areas on the desktop or strong reflected light. The present invention constructs a material reflection characteristic table by collecting and analyzing in detail the spectral reflectance data of typical materials in the ROI2 area, providing accurate material parameters for supplementary light control. This technical solution solves the problems of uneven supplementary light, excessive or insufficient reflection caused by ignoring material differences in traditional methods. By precisely measuring and analyzing the spectral reflectance characteristics of typical materials in the ROI2 area, the constructed material reflection characteristic table can accurately reflect the reflection behaviors of different materials at various incident angles. This provides key data support for subsequent supplementary light control strategies, enabling the supplementary light control to be precisely adjusted according to the characteristics of different materials. For example, for high-reflection materials, the light source power can be appropriately reduced to avoid glare; while for low-reflection materials, the light source power can be increased to improve the illuminance. This supplementary light control based on the material reflection characteristics effectively improves the lighting uniformity and comfort of the operation plane area, reduces visual fatigue, and enhances the overall lighting quality. For example, in an office environment, the materials in the operation plane area (such as desks) are diverse, including paper documents, laptops, etc. Through the material reflection characteristic table constructed in step S1200, the reflection characteristic parameters of these materials can be accurately obtained. When performing supplementary light control, the light source parameters are adjusted according to the material reflection characteristic table to ensure uniform illuminance in the paper document area and avoid strong reflected light on the screens of electronic devices, improving work efficiency and visual comfort.

[0030] Step S1200 closely coordinates with the subsequent step S1412. In step S1412, when performing classification and supplementary lighting control according to the working state of ROI2, it is necessary to adjust the irradiation angle and power of the light source based on the parameters in the material reflection characteristic table. Without the material reflection characteristic table constructed in step S1200, the supplementary lighting control in step S1412 will lack key data support, unable to achieve optimized supplementary lighting for different materials, resulting in poor supplementary lighting effects and unable to meet the lighting requirements of the operation plane area. Without step S1200, subsequent supplementary lighting control (such as step S1412) will not be able to obtain accurate material reflection characteristic parameters, leading to the inability to optimize and adjust the supplementary lighting control strategy according to material characteristics. For example, after identifying paper documents and electronic devices on the operation plane in ROI2, it is necessary to query the material reflection characteristic table to obtain the critical reflection angle of the corresponding material to adjust the light source irradiation angle. Without this table, precise supplementary lighting control cannot be achieved, resulting in problems such as insufficient illuminance in the paper document area or excessive reflection on the electronic device screen. Step S1200 provides necessary data support for subsequent supplementary lighting control by constructing the material reflection characteristic table, ensuring that the supplementary lighting strategy can be optimized according to the actual material characteristics of the operation plane area, improving the intelligent level and user experience of the lighting system.

[0031] Step S1300, identify the states of ROI1 and ROI2; Furthermore, step S1300 includes: Step S1310, as Figure 3 shown, continuously monitor the brightness LA of ROI1. When LA exceeds the first brightness threshold L tha , determine that ROI1 is activated; otherwise, determine that ROI1 is not activated; Step S1320, detect the human activity signal in ROI2. If a human activity signal is detected, determine that ROI2 is in the working state; otherwise, it is in the idle state.

[0032] The method for detecting the human activity signal in ROI2 is as follows: Deploy a millimeter-wave radar in ROI2. If the radar echo amplitude is lower than the preset echo amplitude threshold and the duration is greater than t3, it is determined that there is a human activity signal; otherwise, it is determined that there is no human activity signal.

[0033] Specifically, in step S1310, LA does not only refer to the self-luminous brightness of the display device (such as a projection screen, a TV screen), but rather the overall received brightness on the screen surface, including ambient light reflection and device self-luminance. The monitoring of this parameter is to accurately judge the lighting conditions in the display device area, because ambient light has a great impact on the display effect of the display device. In actual application scenarios, for example, in a meeting room with large and unobstructed windows, when the sun shines directly, even if the self-luminous brightness of the projection screen remains unchanged, due to the enhanced ambient light reflection, the overall received brightness LA on the screen surface will increase significantly, which may lead to a deterioration in the display effect of the picture and the appearance of a "whitening" phenomenon. To achieve real-time monitoring of LA, a photosensitive sensor is arranged in the ROI1 area. The photosensitive sensor can convert the optical signal into an electrical signal, and by processing and analyzing the electrical signal, the brightness LA in the ROI1 area can be obtained in real time. When LA exceeds the first brightness threshold L tha When, it is determined that the ROI1 area is activated; otherwise, it is determined that the ROI1 area is not activated. The first brightness threshold L tha is determined according to factors such as the brightness range that is comfortable for the human eye to view the display device and the ambient brightness required for the normal display of the display device. In the prior art, some lighting control methods do not accurately distinguish the self-brightness of the display device and the overall brightness affected by ambient light, resulting in the inability to accurately control lighting when the ambient light changes, which affects the user viewing experience. And this step can timely detect abnormal lighting conditions in the display device area by accurately monitoring LA and comparing it with the threshold, providing a basis for subsequent anti-glare control and other operations, effectively avoiding the deterioration of the display device picture quality caused by too strong ambient light, and improving the visibility of the display device under different ambient lights.

[0034] In step S1320, a millimeter-wave radar is arranged in the ROI2 area to detect human activity signals. The millimeter-wave radar uses electromagnetic waves in the millimeter-wave band to detect targets. When a human body moves in the ROI2 area, it will reflect the electromagnetic waves emitted by the millimeter-wave radar, causing a change in the echo amplitude received by the radar. Such as Figure 4As shown, if the radar echo amplitude is lower than the preset echo amplitude threshold and the duration is greater than t3, it is determined that there is a human activity signal. Otherwise, it is determined that there is no human activity signal, and the radar echo amplitude is continuously acquired to continuously monitor the human activity signal in ROI2 area. The preset echo amplitude threshold and time t3 are determined according to the characteristics of the echo signal generated by human activities in the actual scenario. For example, in an office, when an employee is working at a desk, if a human activity signal is detected, it can be determined that the ROI2 area where the desk is located is in a working state. In the prior art, the judgment on whether the operation plane area is in use is often inaccurate or relies on complex equipment. In this step, millimeter-wave radar is used to detect human activity signals, which can accurately judge the usage status of the operation plane area and provide an accurate basis for subsequent lighting strategy adjustment. If the ROI2 area is in an idle state, it can enter the energy-saving mode in time to reduce lighting energy consumption; if it is in a working state, targeted supplementary lighting can be carried out according to specific situations to meet the lighting needs of users in different operation scenarios, improving the intelligence level and energy utilization efficiency of lighting.

[0035] Step S1300 can accurately determine the status of ROI1 and ROI2 by monitoring the brightness LA of ROI1 and detecting the human activity signal of ROI2. This solves the problem that the actual use status of the display device area and the operation plane area cannot be accurately known in the prior art, and avoids the situation where the original lighting status is maintained when lighting is not needed or the light is too strong, resulting in energy waste or affecting the visual experience. For example, when the conference room is unused during the day and there is plenty of sunlight, if there is no such step, the lighting of the display device area and the operation plane area may still remain on and the brightness is not adjusted, resulting in energy waste; with this step, the regional status can be determined in time, the lighting strategy can be adjusted, and energy consumption can be reduced. By identifying the status of different regions, the lighting system can better adapt to various application scenarios. Whether it is a conference room, office or home study, the lighting can be adjusted according to the actual regional status. This solves the problem of poor versatility of the existing lighting system, so that the lighting control method can be widely used in a variety of places to meet the needs of different users. For example, in a home study, when a user is using a computer (ROI1 is activated and ROI2 is in working state) and reading a book (ROI1 is not activated and ROI2 is in working state), the lighting system can make corresponding light distribution adjustments according to the different regional states to provide a suitable lighting environment. Without step S1300, the entire lighting control solution will not be able to accurately determine the states of ROI1 and ROI2, resulting in a lack of basis for the regional light distribution strategy and the inability to achieve precise lighting control. It may happen that the display device area is still not anti-glare treated under strong light, and the operating plane area is still illuminated at high brightness when no one is using it, which not only affects the visual effect but also wastes energy. At the same time, subsequent energy-saving modes, strong light interference warnings, and dynamic compensation mechanisms cannot be effectively triggered and executed, which reduces the intelligence and functionality of the entire lighting system and cannot meet the user's needs for eye protection, energy saving, and comfortable lighting.

[0036] Step S1400, generating a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area; Further, step S1400 includes: Step S1410, when the ROI1 area is activated and the ROI2 area is in working state, the regional light distribution strategy is started; the regional light distribution strategy is to perform anti-glare control on the ROI1 area, fill light control on the ROI2 area, and gradient control on the ROI3 area; Further, step S1410 includes: Step S1411, perform anti-glare control on the ROI1 area: according to the size and installation height of the display device in the ROI1 area, set the initial light output angle to the preset anti-glare angle to ensure that the main optical axis of the light source avoids the mirror reflection direction of the display device surface; when LA exceeds the preset second brightness threshold L tha2automatically reduce the output power of the ambient light source around the ROI1 area, where L tha2 > L tha . Surrounding low-glare light sources are added to the edge of the ROI1 area, and the light-emitting angle is directed towards the ceiling or wall, and the ambient light is supplemented through diffuse reflection, so as to avoid strong contrast between the edge of the display device and the dark environment, resulting in visual fatigue.

[0037] Specifically, step S1411 mainly performs anti-glare control on the ROI1 area (display device area), aiming to solve the problem that glare is generated on the screen of the display device due to ambient light reflection, which affects the user's visual experience. The "preset anti-glare angle" is determined according to the vertical viewing angle range of the display device. Different types of display devices, such as projector screens, TV screens, electronic whiteboards, etc., have different vertical viewing angle ranges. Taking a common projector screen as an example, assuming that its vertical viewing angle range is measured to be 120°-160°, through analyzing this range and comprehensively considering the human eye viewing habit and the principle of light reflection, a suitable angle is determined as the preset anti-glare angle. The purpose of such setting is to ensure that the main optical axis of the light source avoids the specular reflection direction on the surface of the display device and prevent light from directly irradiating the center of the screen, reducing the possibility of glare generation from the source. For example, in a meeting room, if the light source directly irradiates the center of the projection screen, a strong reflection will be formed on the screen, making it difficult for the participants to see the screen content clearly. By setting the preset anti-glare angle and adjusting the light source position and light-emitting direction, this situation can be effectively improved.

[0038] The second brightness threshold L tha2 is set based on a large amount of experimental data and research on the visual comfort of the human eye. When the brightness LA of the ROI1 area exceeds L tha2 , it indicates that the ambient light reflection is too strong, which has a negative impact on the screen display effect and the human eye viewing experience, and it is necessary to automatically control and reduce the output power of the ambient light source around the ROI1 area. Taking a TV screen used in an office as an example of a display device, when the overall received brightness LA on the screen surface exceeds L tha2 due to direct sunlight outside the window, the lighting system will automatically reduce the output power of the LED lights on the ceiling, reduce the reflection of the ambient light on the screen, thereby reducing the intensity of the screen reflected light, making LA match the ambient brightness, and alleviating problems such as frequent pupil contraction and decreased contrast between the screen content and the background caused by too strong screen reflected light, reducing the visual fatigue of the human eye, and improving the visual comfort. The setting of L tha2 is higher than the first brightness threshold L tha to ensure that more stringent anti-glare control is triggered when the ambient light is too strong.

[0039] A surround - type low - glare light source is added at the edge of ROI1, and the light - emitting angle faces the ceiling or the wall. The ambient light is supplemented using the principle of diffuse reflection. This is because the strong contrast formed between the edge of the display device and the dark environment can cause visual fatigue and affect the viewing effect. After the light from the surround - type low - glare light source shines on the ceiling or the wall, it is evenly dispersed in the surrounding environment through diffuse reflection, avoiding the direct light irradiation on the screen to produce additional glare, and at the same time, appropriately increasing the ambient brightness of the edge area of the display device and reducing the brightness difference between the edge and the dark environment. For example, in the scenario of using an electronic whiteboard at home, when the surrounding environment is relatively dark, the edge of the electronic whiteboard will appear particularly prominent, and long - term viewing is likely to cause visual fatigue. After adding the surround - type low - glare light source, the ambient brightness of the edge area of the electronic whiteboard is increased, and the visual effect is significantly improved.

[0040] Exemplarily, when the projector in the meeting room is in use, step S1411 sets the initial light - emitting angle according to the size and installation height of the display device to avoid direct light irradiation on the projection screen. At the same time, the ambient light brightness is monitored in real - time. When the ambient light is too strong, the power of the surrounding ambient light sources is automatically reduced to ensure that the projection content is clearly visible. The added surround - type low - glare light source supplements the ambient light through diffuse reflection, making the brightness of the edge of the projection screen more coordinated with the surrounding environment and reducing the visual fatigue of the participants.

[0041] In the prior art, anti - glare control often only focuses on the light - emitting parameters of the display device itself, while ignoring the influence of ambient light. This results in too strong reflected light on the surface of the display device when the ambient light is too strong, causing glare problems. The present invention effectively solves this problem by comprehensively considering the size, installation height of the display device and ambient light conditions, setting the initial light - emitting angle and dynamically adjusting the power of the ambient light source. At the same time, the added surround - type low - glare light source supplements the ambient light through diffuse reflection, further reducing the brightness contrast between the edge of the display device and the surrounding environment. By accurately setting the initial light - emitting angle and dynamically adjusting the power of the ambient light source, step S1411 effectively avoids the direct reflection of light into the human eye and reduces the glare phenomenon. This not only improves the visibility of the display device but also reduces the visual fatigue caused by strong light reflection. For example, when using a projection screen in a meeting room with direct sunlight, reducing the power of the surrounding ambient light sources can prevent the screen from "turning white" due to too strong ambient light and improve the clarity of the projection content. The added surround - type low - glare light source supplements the ambient light through diffuse reflection, making the brightness of the edge of the display device more coordinated with the surrounding environment, further reducing the visual fatigue and improving the comfort of the overall lighting.

[0042] Step S1412, perform supplementary light control on ROI2; Furthermore, step S1412 includes: Step S14121: Obtain the material of the operation plane in ROI2, query the material reflection characteristic table to obtain the critical reflection angle and the half-height full-width reflection angle of the corresponding material; adjust the irradiation angle of the main light source in ROI2 according to the critical reflection angle and the half-height full-width reflection angle of the corresponding material. Specifically, step S14121 aims to solve the problem that the reflection of the operation plane affects the visual experience and improve the lighting quality in this area by adjusting the irradiation angle of the main light source in ROI2 (operation plane area) according to the material reflection characteristics. The "critical reflection angle" refers to the angle at which the intensity of the reflected light on the material surface will increase significantly, which is likely to interfere with vision; the "half-height full-width reflection angle" is used to describe the characteristics of the reflected light intensity distribution, and the two together reflect the reflection characteristics of the material.

[0043] The material type of the operation plane in ROI2 can be achieved by pre-marking the material of the operation plane or by using image recognition technology combined with a material feature database. For example, in an office environment, the material information of different desks can be entered into the system in advance. When the material type needs to be obtained, it can be learned by querying the system; if image recognition technology is used, the camera is used to collect the image of the operation plane, analyze the texture, color and other features in the image, and compare them with the samples in the material feature database to determine the material type.

[0044] After determining the material type, query the material reflection characteristic table to obtain the critical reflection angle and the half-height full-width reflection angle of the corresponding material. Taking a wooden tabletop as an example, assume that its critical reflection angle is 40° and the half-height full-width reflection angle is 30°. Adjust the irradiation angle of the main light source in ROI2 according to these parameters. The principle is based on the law of reflection of light. When the incident angle of light is equal to the critical reflection angle, the reflected light is the strongest, which will produce obvious reflection and affect the visual effect. Therefore, by adjusting the irradiation angle of the main light source to deviate from the critical reflection angle, the reflection can be effectively reduced. The specific adjustment method is to set the irradiation angle of the main light source to a value deviating from the critical reflection angle within a certain range according to the actual situation. For the above-mentioned wooden tabletop, the irradiation angle of the main light source can be adjusted to 25° or 55° and other values far from 40°. At the same time, the half-height full-width reflection angle also provides a reference for adjustment. If the half-height full-width reflection angle is small, it means that the reflected light is concentrated in a small angle range, and the critical reflection angle nearby area needs to be avoided more precisely when adjusting the angle; if the half-height full-width reflection angle is large, the adjustment range can be relatively more flexible.

[0045] In the prior art, when adjusting the irradiation angle of the light source, the fine consideration of the material reflection characteristics is often lacking, resulting in strong reflection of light at certain angles, which affects the visual comfort. The present invention accurately obtains the critical reflection angle and the half-height full-width reflection angle of different materials by querying the material reflection characteristic table, and adjusts the irradiation angle of the light source accordingly, effectively avoiding the strong reflection phenomenon.

[0046] Step S14122: Classify the working state of ROI2 area, and perform fill light control according to the classification result of the working state of ROI2 area. Furthermore, step S14122 includes: Step S141221: Cut out the ROI2 area image from the indoor panoramic top view, and identify the paper documents and electronic devices on the operation plane of ROI2 area according to the ROI2 area image and the pre-constructed operation plane target detection model. Specifically, the indoor panoramic top view is obtained by collecting indoor scene images with fisheye cameras installed at the four corners of the ceiling, and after distortion correction and image stitching, it covers the visual information of the entire indoor space. The process of cutting the ROI2 area image is based on the pre-determined coordinate range of ROI2 area in the indoor panoramic top view. An image cropping algorithm can be used to separate the image part containing the operation plane area from the panoramic view according to the boundary coordinates of ROI2 area. For example, in an office scene, through the layout analysis of the office area in advance, the position information of the ROI2 area where the desk is located in the panoramic view is determined, and input into the cropping algorithm, then the ROI2 area image only containing the desk area can be obtained. The purpose of this is to avoid detecting electronic devices in other irrelevant areas in the room, improve the detection accuracy, and ensure that the subsequent identification of paper documents and electronic devices on the operation plane is more targeted. Subsequently, the operation plane target detection model based on the YOLOv5 framework is used to analyze the cut ROI2 area image. This model is trained on a custom dataset, which contains image samples of various common office paper documents (such as A4 paper, notebooks, etc.) and electronic devices (such as laptops, tablets, mobile phones, etc.). During the training process, the model learns the features of these samples, including shape, color, texture, etc., so as to have the ability to identify different items. When identifying, the model processes and analyzes the pixel information in the ROI2 area image, compares it with the features of the training samples, and then judges whether there are paper documents and electronic devices in the image, and determines their positions and categories.

[0047] Step S141222: If an electronic device is identified, determine whether the electronic device is in a working state. The method for determining whether the electronic device is in a working state is: identify the display screen area of the electronic device, and extract the image features of the display screen area; input the extracted image features into the pre-trained electronic device working state classification model to judge whether the electronic device is in a working state. Specifically, when identifying the display screen area of an electronic device, first, a preliminary positioning is performed based on the overall contour and morphological characteristics of the electronic device. For example, for an electronic device with a common rectangular appearance, the area range where the display screen is located is roughly determined by detecting the edge features and geometric shapes in the image. Then, image segmentation technology is used to further accurately divide the display screen area. Image segmentation can distinguish the display screen from other parts of the electronic device based on feature differences such as color and brightness. When extracting the image features of the display screen area, the main focus is on aspects such as brightness, color distribution, and the texture of the image content. The brightness feature reflects the luminous intensity of the display screen, the color distribution reflects its color mode, and the texture feature contains the detailed information of the screen display content. These features are extracted through specific image feature extraction algorithms. For example, the gray-level co-occurrence matrix can be used to extract texture features, and the color histogram can be used to obtain color distribution information. The extracted image features are input into a pre-trained classification model for the working state of the electronic device, which is constructed based on convolutional neural networks (such as Mobile Net, Efficient Net, etc.) and trained on a dataset containing image samples of the display screens of various electronic devices in the on and off states. During the training process, the model learns the differences in the image features of the display screen in the on and off states, so that when receiving new display screen image features, it can accurately determine whether the electronic device is in a working state.

[0048] Step S141223: Classify the working state of the ROI2 area according to the recognition results of the paper document and the electronic device on the operation plane of the ROI2 area, and whether the electronic device is in a working state. Step S141224: Perform fill light control according to the classification result of the working state of the ROI2 area.

[0049] Specifically, if there are only paper documents in ROI2 and no electronic devices, it is defined as the paper document working state. At this time, the main requirement is to provide an illumination environment suitable for reading and writing on paper documents. Increase the light-emitting angle and light-emitting power of the main light source in ROI2 to make the light cover the paper surface more evenly and increase the paper surface illuminance. By reasonably adjusting the position and angle of the light source, avoid generating shadows and improve the reflection uniformity of the paper surface. Adjust the color temperature to neutral light to reduce the stimulation of blue light to the eyes, making the user's eyes more comfortable when reading and writing on paper documents and enhancing the reading and writing experience. If there are only electronic devices in the working state, it is the electronic device working state, and the focus is on reducing screen reflection and ensuring appropriate color rendition. Reduce the light-emitting angle of the main light source to prevent direct light from shining on the electronic screen, reduce screen reflection, and improve the visibility of the screen content. Appropriately reduce the light-emitting power to avoid excessive ambient light intensifying screen reflection. Increase the color temperature of the light source to improve the color rendition of the screen display, allowing the user to see more realistic image colors. Arrange auxiliary light sources around the electronic device to provide local fill light, reduce the brightness contrast between the electronic screen and the surrounding environment, and relieve eye fatigue. For example, when using a computer in the office, such a supplementary lighting setting can enable employees to view the screen content more clearly and improve work efficiency.

[0050] When there are only electronic devices in the non-working state, it is the electronic device idle state. Further reduce the light-emitting angle and light-emitting power of the main light source to provide only basic lighting, and turn off the auxiliary light sources around the electronic device to avoid energy waste and meet the energy-saving requirements. When there are both paper documents and electronic devices in the working state, it belongs to the mixed working state, and the lighting requirements for reading paper documents and using electronic devices need to be considered. For the paper document area, supplement light according to the paper document working state, and for the electronic device area, supplement light according to the electronic device working state, comprehensively balance the lighting requirements of both, and at the same time control the reflection of paper documents and the reflection of the electronic screen to meet the lighting requirements of different tasks. When there are both paper documents and electronic devices in the non-working state, it is the mixed idle state, and it is necessary to balance the illuminance required for paper documents and the energy-saving requirements when the electronic device is idle. Ensure the paper surface illuminance for the paper document area and reduce the light-emitting power for the electronic device area to avoid energy consumption waste. When there are neither paper documents nor electronic devices, it is the idle state. Greatly reduce the light-emitting angle and light-emitting power of the main light source to a comfortable basic lighting level to meet the minimum illuminance requirements in the non-working state, adjust the color temperature to warm light to create a relaxing atmosphere, which can not only meet the basic lighting but also make people feel comfortable. Compared with full-power lighting, the energy consumption is significantly reduced.

[0051] When classifying the working states of the operation plane area, the existing technologies can often only simply distinguish between the presence or absence of people, and cannot accurately identify different object types and their states, resulting in a single supplementary lighting strategy that cannot meet diverse needs. For example, in a school classroom, students use both paper textbooks and electronic devices for learning, and traditional lighting cannot simultaneously meet the best lighting requirements for both. However, this step effectively solves this problem through the precise classification of the working states in the ROI2 area and targeted supplementary lighting control. For the working state of paper documents, it provides suitable lighting for reading and writing; for the working state of electronic devices, it reduces screen reflection and optimizes color restoration. This enables users to obtain a comfortable visual experience in various operation scenarios, improves learning and work efficiency, and meets the diverse lighting requirements of the operation plane area. In different working states, step S14122 reasonably adjusts the parameters of the lighting source to avoid energy waste. In the idle state and standby state of the electronic device, it reduces the lighting intensity and turns off unnecessary auxiliary light sources, reducing power consumption. Compared with the traditional lighting system that still maintains high-brightness lighting during non-working hours or when the device is idle, this solution achieves a balance between energy conservation and lighting effects, reduces long-term usage costs, and improves energy utilization efficiency. Based on the recognition and classification of the working states of items and electronic devices on the operation plane, the lighting system can automatically adjust the lighting strategy, with stronger intelligence and adaptability. Whether in an office, school, home study, or other scenarios, it can adjust the lighting in real time according to the actual situation to meet the changing needs of users.

[0052] Step S14122 collaborates with step S1320 in detecting the human activity signals in the ROI2 area. When it detects that the area is in the working state, it starts the working state classification and supplementary lighting control of this step; when the area is in the idle state, it enters the energy-saving mode, making the entire lighting control scheme form an organic whole. This collaborative effect can more accurately adjust the lighting according to the environment and user needs compared to each step operating independently, realizing the dynamic intelligent control of the lighting system, greatly enhancing the performance and practicality of the lighting system, ensuring the effective implementation of the entire lighting control scheme, and achieving the goals of eye protection, energy conservation, and comfortable lighting. Without step S14122, the entire lighting control scheme will not be able to effectively distinguish different working scenarios in the ROI2 area and provide targeted supplementary lighting. This will result in serious screen reflection affecting vision when using electronic devices, insufficient or uneven lighting when reading paper documents, reducing learning and work efficiency. At the same time, it cannot adjust the lighting energy consumption according to the working state, causing energy waste.

[0053] Step S1413 performs a gradual change control on the ROI3 area: the edge illuminance of the ROI1 area is the starting gradual change illuminance E start , the edge illuminance of the ROI2 area is the ending gradual change illuminance E end , and a gradual change from E is formed in the ROI3 area (the transition zone between the ROI1 area and the ROI2 area)start to E end The linear or non-linear illuminance gradient to E avoids sudden changes in brightness in adjacent areas, which can cause a burden on the eyes' light adaptation. Based on the illuminance value E of ROI3 area monitored in real time by the ambient light sensor C , the upper limit E of the gradient illuminance is set C,max and the lower limit E C,min . By adjusting the power or angle of the light source in ROI3 area, E C always smoothly transitions within the gradient range.

[0054] Specifically, the gradient control is applied to ROI3 area (the environmental transition zone), aiming to avoid sudden changes in brightness at the adjacent areas of ROI1 area (the display device area) and ROI2 area (the operation plane area), reduce the burden on the eyes' light adaptation, and optimize the transition effect of the overall indoor lighting environment. "The starting gradient illuminance E start " is the illuminance value at the edge of ROI1 area, and "the ending gradient illuminance E end " is the illuminance value at the edge of ROI2 area. The determination of these two values is based on the illuminance requirements of ROI1 area and ROI2 area during their respective normal operations, as well as the adaptation range of the human eyes to brightness changes. For example, when the display device in ROI1 area is in normal use, the appropriate illuminance is X lux. Considering the transition requirements between the edge of the display device and the surrounding environment, the illuminance E start at the edge of ROI1 area is determined as X - Y lux (Y is the illuminance difference determined according to the actual situation); the appropriate illuminance of ROI2 area varies under different working states. Assuming that the appropriate illuminance during the paper document working state is Z lux, similarly considering the transition with ROI3 area, the illuminance E end at the edge of ROI2 area is determined as Z - W lux (W is the corresponding illuminance difference). "Linear or non-linear illuminance gradient" refers to the illuminance change mode in ROI3 area from E start to E end . Linear gradient means that the illuminance changes from E start to E end at a uniform rate; non-linear gradient can adopt change modes such as exponential and logarithmic according to actual requirements, such as simulating the natural light change law, etc., to achieve a more eye-friendly illuminance transition effect.

[0055] The implementation process is as follows: First, an ambient light sensor is deployed in ROI3 area to monitor the illuminance value E C of ROI3 area in real time. The ambient light sensor converts the received light intensity into an electrical signal or a digital signal and transmits it to the lighting control system. The lighting control system sets the upper limit E C and the lower limit E C,max of the gradient illuminance according to the real-time monitored E C,min value, combined with environmental factors (such as the change of ambient light at different time periods like day and night).. For example, during the day, the ambient light is strong. To make the transition between indoor and outdoor lighting more natural, E C,max is set higher; at night, the ambient light is weak, and E C,min is set lower. Then, the lighting control system adjusts the power or angle of the light source in the ROI3 area according to the relationship between the E C value and E C,max , E C,min to make E C always smoothly transition within the gradient range. When E C is close to E C,max , the lighting control system reduces the power of the light source or adjusts the angle of the light source to reduce the illumination intensity in the ROI3 area; when E C is close to E C,min , the power of the light source is appropriately increased or the angle is adjusted to increase the illumination intensity.

[0056] In the prior art, many lighting systems have poor lighting transition processing between different functional areas, and the brightness difference between adjacent areas is too large. When the human eye switches the line of sight between different areas, it needs to frequently adapt to the brightness change, which easily causes visual fatigue. For example, in some conference rooms, the brightness difference between the projection screen area and the surrounding office area is obvious. When the participants watch the projection and take notes, their eyes need to constantly adapt to the brightness change, affecting the meeting experience and work efficiency; in the home environment, the sudden change in brightness between the living room TV area and the sofa reading area also brings discomfort to users. This step effectively solves these problems by performing illuminance gradient control in the ROI3 area. By setting an illuminance gradient in the ROI3 area, the sudden change in brightness between adjacent areas is avoided. When the human eye switches the line of sight between different areas, it does not need to quickly adapt to a large amplitude of brightness change, effectively reducing the burden of light adaptation on the eyes. The illuminance gradient makes the indoor lighting softer and more natural, improving the lighting comfort of the entire indoor environment. Whether in the office, study, or living scenario, users can feel a more comfortable lighting atmosphere, increasing their satisfaction with the environment. The gradient control in the ROI3 area organically combines the lighting effects of the ROI1 area and the ROI2 area, making the entire lighting system more complete and coordinated. The lighting transition between different areas is natural, avoiding a sense of abruptness and improving the quality of the lighting system.

[0057] Step S1420, when the ROI1 area is not activated but the ROI2 area is in the working state, start the ROI2 supplementary lighting strategy, where the ROI2 supplementary lighting strategy is to perform supplementary lighting control on the ROI2 area, and the ROI3 area maintains uniform basic lighting; Specifically, step S1420 mainly targets the scenario where the ROI1 area is not activated but the ROI2 area is in the working state, and starts the ROI2 supplementary lighting strategy, aiming to provide appropriate lighting for the operation plane area while ensuring a stable basic lighting in the environmental transition zone area.

[0058] “ROI1 area is not activated” means that the brightness LA of the display device area does not exceed the first brightness threshold L tha , indicating that the display device may not be used or the ambient light has little effect on it. "ROI2 area is in working state" means that someone is using the operation plane area. At this time, the ROI2 fill light strategy is started. The ROI2 fill light strategy is to control the fill light of the ROI2 area, and the ROI3 area maintains uniform basic lighting, wherein the fill light control of the ROI2 area is consistent with the "fill light control of the ROI2 area" method in the regional light distribution strategy described in step S1412. For the ROI3 area, uniform basic lighting is maintained. This is because in this scenario, the ROI1 area is not activated, and the requirements for the light transition in the environmental transition zone are relatively low. It is only necessary to maintain a stable basic lighting level to ensure that the light transition between the ROI2 area and the surrounding environment is natural, and to avoid sudden changes in brightness causing discomfort to the human eye. For example, in a classroom, when the projection equipment is not in use (ROI1 area is not activated) and students are studying at their desks (ROI2 area is in working state), the lights in the ROI3 area of ​​the classroom are maintained at an appropriate basic brightness, so that when students focus on the desktop learning content, their eyes will not be fatigued due to changes in the surrounding environment light. The prior art often lacks pertinence when dealing with lighting scenes with different combinations of activation states of different regions. For example, in some places, regardless of whether the display device is in use, the lighting system adopts a unified lighting mode, resulting in insufficient or excessive lighting in the ROI2 area, as well as uncoordinated lighting in the environmental transition zone when the ROI1 area is not activated and the ROI2 area is working, which affects the user's visual experience and work and study efficiency. This step effectively solves these problems by starting the ROI2 fill light strategy and stabilizing the lighting in the ROI3 area. If there is no step S1420, in the scenario where the ROI1 area is not activated but the ROI2 area is in working state, the lighting system cannot provide appropriate lighting for the ROI2 area in a targeted manner, which may lead to insufficient lighting in the operating plane area, affecting the user's work and study efficiency. At the same time, the lighting in the ROI3 area cannot be reasonably adjusted according to this scenario, and the lighting may be too strong or too weak, destroying the coordination of the entire indoor lighting.

[0059] Step S1430: If the ROI2 area is in an idle state, enter the energy saving mode.

[0060] Specifically, when the ROI2 area (operation plane area) is in the idle state, the energy-saving mode is entered by adjusting the lighting parameters of each area. The specific implementation process is as follows: First, reduce the light-emitting angle of the lighting source in the ROI1 area (display device area) to provide only basic lighting. This is because when the ROI2 area is not in use, the lighting demand for the display device area is also correspondingly reduced. For example, after work in the office, the ROI1 area where the projection screen in the meeting room is located usually does not require high-brightness lighting. Reducing the light-emitting angle can reduce light energy waste while ensuring a certain basic brightness to meet basic safety and visual needs. Second, turn off the supplementary lighting in the ROI2 area and reduce the illuminance in the ROI2 area. The idle state of the ROI2 area means that there are no people performing activities such as reading, writing, or operating electronic devices in this area. At this time, supplementary lighting is no longer necessary. Turning off the supplementary lighting and reducing the illuminance can directly reduce energy consumption. Taking a school classroom as an example, if the lighting on the desks during the break continues to maintain the brightness during class, it will cause energy waste. Turning off the supplementary lighting and reducing the illuminance can avoid this situation. Finally, narrow the gradient range of the ROI3 area (environmental transition zone area) and reduce the upper limit of the gradient illuminance in the ROI3 area. Since the lighting intensities of the ROI1 area and the ROI2 area have both been reduced, the ROI3 area, as a transition area, also does not need to maintain a large gradient range and a high illuminance upper limit. This can further reduce energy consumption while ensuring that the lighting transition between areas is still relatively natural.

[0061] Existing technologies often cannot adjust lighting in a timely manner when an area is idle, resulting in serious energy waste. For example, in a traditional office lighting system, even when some areas are not in use after work, the lighting equipment remains fully on, causing a large amount of electrical energy waste. This step effectively solves this problem by accurately detecting the idle state of the ROI2 area and timely adjusting the lighting parameters of each area. By turning off the supplementary lighting in the ROI2 area and reducing the lighting intensities of the ROI1 area and the ROI3 area, the electrical energy consumption is directly reduced. Reducing the light-emitting angle and power of the lighting source reduces the workload of the lighting equipment and helps to extend the service life of the lighting equipment.

[0062] Step S1500, determine whether there is strong light interference. If there is strong light interference, trigger the strong light interference warning and dynamic compensation mechanism; Furthermore, step S1500 includes: Step S1510, if the illuminance value E C is greater than the preset illuminance threshold E th , and the duration exceeds t2 seconds, then determine that there is strong light interference; Step S1520, if there is strong light interference, trigger the strong light interference warning and dynamic compensation mechanism.

[0063] The dynamic compensation mechanism is as follows: increase the light output angle of the illumination light source in ROI1 area, and at the same time increase the upper limit of the gradient illuminance in ROI3 area; continuously monitor the illuminance value E in ROI3 area C , if the illuminance value E C is less than or equal to the illuminance threshold E th , and the duration exceeds t2 seconds, then restore the original light output angle of ROI1 area and the original upper limit of the gradient illuminance in ROI3 area.

[0064] Specifically, the illuminance value E C is obtained by real-time monitoring with ambient light sensors deployed in the ROI3 area (environmental transition zone). The preset illuminance threshold E th is determined according to the adaptation range of the human eye to different light intensities and the lighting requirements during the normal use of the display device. For example, in a normal office environment, through a large number of experiments and actual tests, it is determined that when the illuminance value in the ROI3 area exceeds a certain specific value for a long time, it will have a negative impact on the viewing effect of the display device and the comfort of the human eye, and this specific value is E th . The duration of t2 seconds is to avoid misjudging strong light interference due to short-term light fluctuations and ensure the accuracy of judgment. For example, in a meeting room, when sunlight suddenly shines directly through the window, the ambient light sensor detects that the illuminance value E in the ROI3 area C rapidly rises and exceeds E th , and the duration exceeds t2 seconds, it is determined that there is strong light interference.

[0065] If there is strong light interference, then trigger the strong light interference warning and the dynamic compensation mechanism; the warning can be triggered in various ways, such as emitting an alarm sound at the control terminal, displaying a prompt message on the display screen, etc., to remind the user that there is strong light interference currently, which may affect the visual effect. The specific implementation of the dynamic compensation mechanism is: increase the light output angle of the illumination light source in the ROI1 area (display device area) to expand the anti-glare protection range of the ROI1 area. This is because strong light interference may increase the reflected light on the surface of the display device, and increasing the light output angle can make the light of the light source more evenly distributed, reducing the impact of the reflected light on the human eye. At the same time, increase the upper limit of the gradient illuminance in the ROI3 area to accelerate the light adaptation transition and reduce the eye adjustment burden. Under strong light interference, when the human eye suddenly enters a strong light environment from a normal light environment, it needs to perform light adaptation adjustment. Increasing the upper limit of the gradient illuminance can make the eyes adapt to the light change faster and reduce discomfort. Continuously monitor the illuminance value E in the ROI3 area C , if the illuminance value E C is less than or equal to the illuminance threshold E th , and the duration exceeds t2 seconds, then restore the original light output angle of ROI1 area and the original upper limit of the gradient illuminance in ROI3 area to avoid energy consumption waste caused by overcompensation. For example, in the above-mentioned meeting room, when the sunlight is blocked by the curtain, the illuminance value E in the ROI3 areaC Reduce to E th or below and last for t2 seconds, then automatically resume to the normal lighting parameter settings.

[0066] In the face of strong light interference, existing technologies often fail to respond effectively in a timely manner, resulting in a decline in the user's visual experience and easy eye fatigue. For example, in some classrooms, when sunlight shines directly, there will be a reflection phenomenon when students watch the electronic whiteboard or projection screen, which affects the learning effect, and the traditional lighting system cannot automatically adjust the lighting to solve this problem. This step effectively solves the impact of strong light interference on vision through real-time monitoring and dynamic compensation mechanisms. Without step S1500, when encountering strong light interference, the lighting system cannot respond in a timely manner, resulting in serious reflection on the surface of the display device, making it difficult for users to see the screen content clearly, affecting work and learning efficiency. At the same time, the human eye is in an uncomfortable state for a long time under strong light interference, which is likely to cause visual fatigue and damage eyesight. In the whole solution, the previous lighting optimization work will be ineffective due to strong light interference, and the lighting control in each area cannot effectively cope with sudden strong light situations, and the goal of improving visual comfort and protecting human eye health cannot be achieved.

[0067] Embodiment 2 On the basis of Embodiment 1, this embodiment provides an LED eye protection lighting control system, as Figure 5 shown, including: Lighting control area recognition module: used to obtain the indoor panoramic top view, and identify three types of lighting control areas through the indoor panoramic top view and a pre-constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; Light distribution strategy generation module: used to identify the states of the ROI1 area and the ROI2 area, and generate a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area.

[0068] In the lighting control area recognition module, the method for obtaining the indoor panoramic top view is: collect indoor scene images through fisheye cameras installed at the four corners of the ceiling, perform distortion correction and image stitching on the indoor scene images, and obtain the indoor panoramic top view.

[0069] In the light distribution strategy generation module, the method for identifying the states of the ROI1 area and the ROI2 area includes: Step S1310, continuously monitor the brightness LA of the ROI1 area. When LA exceeds the first brightness threshold L tha , determine that the ROI1 area is activated; otherwise, determine that the ROI1 area is not activated; Step S1320: Detect the human activity signal in ROI2 area. If a human activity signal is detected, determine that ROI2 area is in the working state; otherwise, it is in the idle state.

[0070] In the light distribution strategy generation module, the method for generating an illumination control strategy according to the status recognition results of ROI1 area and ROI2 area includes: Step S1410: When ROI1 area is activated and ROI2 area is in the working state, start the sub - area light distribution strategy; the sub - area light distribution strategy means performing anti - glare control on ROI1 area, performing supplementary light control on ROI2 area, and performing gradient control on ROI3 area; Step S1420: When ROI1 area is not activated but ROI2 area is in the working state, start the ROI2 supplementary light strategy. The ROI2 supplementary light strategy is to perform supplementary light control on ROI2 area, and ROI3 area maintains uniform basic illumination; Step S1430: If ROI2 area is in the idle state, enter the energy - saving mode.

[0071] The methods and systems of the present application can be implemented in many ways. For example, the methods and systems of the present application can be implemented through software, hardware, firmware, or any combination of software, hardware, and firmware. The above - mentioned order of steps for the method is only for illustration. The steps of the method of the present application are not limited to the above - specifically described order unless otherwise specifically stated.

[0072] In addition, parts of the above - mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive elaboration.

[0073] As described in the above - mentioned specific embodiments, the purpose, technical solutions, and beneficial effects of the present invention are further described in detail. It should be understood that the above - mentioned are only specific embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. LED eye protection lighting control method, characterized in that, The method includes: Obtain an indoor panoramic top view, and identify three types of lighting control areas through the indoor panoramic top view and a pre-constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; Perform state recognition on the ROI1 area and the ROI2 area, and generate a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area.

2. The LED eye protection lighting control method according to claim 1, wherein The lighting control area detection model uses the YOLOv5 framework.

3. The LED eye protection lighting control method according to claim 2, wherein The method for identifying the state of ROI1 area includes: real-time monitoring of the brightness LA of ROI1 area, and when LA exceeds the first brightness threshold L tha , it is determined that ROI1 area is activated; otherwise, it is determined that ROI1 area is not activated.

4. The LED eye protection lighting control method according to claim 3, wherein The method for performing state recognition on the ROI2 area includes: detecting the human activity signal in the ROI2 area, and if no human activity signal is detected for a continuous time of Δt1, determine that the ROI2 area is in the idle state, otherwise it is in the working state.

5. The LED eye protection lighting control method according to claim 4, wherein The method for generating a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area includes: When the ROI1 area is activated and the ROI2 area is in the working state, start the sub-area light distribution strategy; When the ROI1 area is not activated but the ROI2 area is in the working state, start the ROI2 supplementary light strategy; If the ROI2 area is in the idle state, enter the energy-saving mode.

6. The LED eye protection lighting control method according to claim 5, wherein The sub-area light distribution strategy is to perform anti-glare control on the ROI1 area, perform supplementary light control on the ROI2 area, and perform gradient control on the ROI3 area.

7. The LED eye protection lighting control method according to claim 6, characterized in that, The method for performing supplementary light control on the ROI2 area includes: Construct a material reflection characteristic table for the ROI2 area, obtain the material of the operation plane in the ROI2 area, query the material reflection characteristic table to obtain the critical reflection angle and the half-height width reflection angle of the corresponding material; adjust the irradiation angle of the main light source in the ROI2 area according to the critical reflection angle and the half-height width reflection angle of the corresponding material.

8. The LED eye protection lighting control method according to claim 6, wherein The method for performing supplementary light control on the ROI2 area also includes: classifying the working state of the ROI2 area, and performing supplementary light control according to the classification result of the working state of the ROI2 area.

9. The LED eye protection lighting control method according to claim 8, wherein, The method for classifying the working state of the ROI2 area includes: Cut the ROI2 area image from the indoor panoramic top view, and identify the paper documents and electronic devices on the operation plane in the ROI2 area according to the ROI2 area image and a pre-constructed operation plane target detection model; If an electronic device is identified, determine whether the electronic device is in the working state; Classify the working state of the ROI2 area according to the recognition results of the paper documents and electronic devices on the operation plane in the ROI2 area, and whether the electronic device is in the working state.

10. The LED eye protection lighting control system is used to implement the LED eye protection lighting control method described in any one of claims 1-9, and is characterized in that, The system includes: A lighting control area recognition module: used to obtain an indoor panoramic top view, and identify three types of lighting control areas through the indoor panoramic top view and a pre-constructed lighting control area detection model; the three types of lighting control areas refer to the display device area ROI1, the operation plane area ROI2, and the environmental transition zone area ROI3; A light distribution strategy generation module: used to perform state recognition on the ROI1 area and the ROI2 area, and generate a lighting control strategy according to the state recognition results of the ROI1 area and the ROI2 area.

Images