A rotating light ring brightness control system and method based on data analysis

Abstract

The present invention discloses a rotating light ring brightness control system and method based on data analysis, which relates to the technical field of rotating light ring control. The method comprises the following steps: determining the basic brightness of the rotating light ring according to the lighting requirements of the working area; dividing the working area into sub-areas; analyzing the influence of the rotation speed of the rotating light ring on the contrast of the sub-areas, analyzing the influence of the brightness of the rotating light ring on the brightness of the sub-areas, and determining the rotation speed and brightness of the rotating light ring; generating a visibility evaluation model of the sub-areas according to the brightness and contrast of the sub-areas, and controlling the rotating light ring; utilizing the dynamic lighting effect of the rotating light ring, continuously changing the direction of the light through rotation, and evenly distributing the light to all corners of the working area, thereby reducing shadows that may be caused by fixed light sources; the reduced shadows can improve the visibility of the working area, reduce safety hazards caused by unclear vision, and improve overall production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of rotating light ring control, and in particular to a rotating light ring brightness control system and method based on data analysis. Background Art

[0002] A rotating light ring is a decorative and lighting device. It is a ring-shaped device composed of multiple LED lights and has a rotating function. It can produce dazzling visual effects and is often used in scenes that require enhanced visual effects. Due to its rotation function, the rotating light ring can provide dynamic lighting effects and can be integrated into the factory's intelligent control system to achieve automated lighting management. In traditional workshops or factory environments, fixed-position lamps are used to provide lighting, so that light is emitted from a fixed point. In this case, machines or workers may block the light emitted by the lamps, forming shadows and affecting the lighting quality of the work area. The higher the brightness of the lamp, the stronger the light intensity in the illuminated area, while the light intensity in the shadowed area is relatively weaker. This strong contrast makes the shadowed area appear dimmer, increasing the visual difference between the shadow and illuminated areas, making the shadowed area more difficult to see. Therefore, how to use the rotating light ring to provide dynamic lighting effects and apply it to workshops or factory environments to improve the lighting quality of work areas has become an urgent problem that needs to be solved. Summary of the Invention

[0003] The object of the present invention is to provide a rotating light ring brightness control system and method based on data analysis to solve the problems raised in the prior art.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a rotating light ring brightness control system based on data analysis, comprising a data acquisition module, a rotating light ring control module, a data storage module and an analysis module; the output end of the data acquisition module is connected to the input end of the data storage module, for acquiring environmental data and image data of the working area; the output end of the data storage module is connected to the input end of the analysis module, for storing historical environmental data of the working area, the brightness, speed and energy consumption data of the rotating light ring during operation; the output end of the analysis module is connected to the input end of the rotating light ring control module, for analyzing the influence of the speed of the rotating light ring on the contrast of the sub-area, analyzing the influence of the brightness of the rotating light ring on the brightness of the sub-area, and determining the speed and brightness of the rotating light ring; the rotating light ring control module, the user controls the speed and brightness of the rotating light ring.

[0005] Specifically, the data acquisition module further includes an image acquisition unit and a sensor unit; the image acquisition unit is used to acquire image data of the working area; and the sensor unit is used to acquire environmental data within the working area.

[0006] Specifically, the analysis module also includes a brightness extraction unit, an area division unit, a visibility evaluation unit and a brightness contrast analysis unit; the brightness extraction unit is used to convert the image data of the working area into a color space and obtain brightness data based on color characteristics; the area division unit is used to divide the working area into sub-areas and determine the sub-areas where fixed shadows are blocked; the brightness contrast analysis unit is used to analyze the relationship between brightness and the speed and brightness of the rotating light ring; the visibility evaluation unit determines the visibility of the sub-areas where fixed shadows are blocked based on the brightness and contrast of the sub-areas where fixed shadows are blocked.

[0007] Specifically, the rotating light ring control module also includes a brightness control unit, a speed control unit and a brightness switching unit; the brightness control unit is used to control the lighting brightness of the rotating light ring; the speed control unit is used to control the speed of the rotating light ring; the brightness switching unit allows the user to control the rotating light ring to switch between different lighting brightnesses.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling the brightness of a rotating light ring based on data analysis, comprising the following steps:

[0009] S11, obtaining lighting requirements for the working area and parameter data of the rotating light ring; determining a base brightness of the rotating light ring according to the lighting requirements of the working area; and dividing the working area into sub-areas based on contrast data of the working area when the rotating light ring is not rotating;

[0010] S12, analyzing the effect of the rotation speed of the rotating light ring on the contrast of the sub-regions, analyzing the effect of the brightness of the rotating light ring on the brightness of the sub-regions, and determining the rotation speed and brightness of the rotating light ring;

[0011] S13, generate a visibility assessment model for the sub-area based on the brightness and contrast of the sub-area, and determine whether the visibility of the sub-area meets the requirements. If not, return to step S12 to re-control the speed and brightness of the rotating light ring; if it meets the requirements, control the rotating light ring according to the speed and brightness in step S12.

[0012] Specifically, determining the basic brightness of the rotating light ring according to the lighting requirements of the work area further includes the following steps:

[0013] The ambient light intensity of the working area is obtained, converted into an electrical signal, and sent to the computer of the rotating light ring control module. The built-in algorithm in the computer analyzes the ambient light intensity and the lighting requirements of the working area to determine the basic brightness of the rotating light ring.

[0014] Specifically, the working area is divided into sub-areas according to the contrast data of the working area when the rotating light ring is not rotating, and the following steps are also included:

[0015] Step 1: Obtain image data within the working area when the rotating light ring is not rotating at a base brightness, convert the image data into a color space, and extract the color features of the working area; divide the working area into sub-areas based on the color features of the working area: obtain the color features of all pixels in the working area, obtain the brightness values ​​of the pixels based on the color features, obtain the contrast of the pixels based on the brightness values ​​of the pixels, perform unsupervised classification on the contrast of the pixels, obtain the color features and classification clusters of the class centers, and obtain the critical error of the contrast between the pixels in the classification cluster and the class center based on the color features of the classification cluster and the class center;

[0016] Step 2: Create a set and randomly select a pixel i outside the set to add to the set; calculate the contrast error between the pixels around pixel i and pixel i. If the error is not greater than the critical error, then add the pixels around pixel i to the set; for the pixels added to the set, continue processing the surrounding pixels until no new pixels can be added to the set; adjacent means that the distance between pixels is equal to one pixel spacing;

[0017] Step 3: Return to step 2 to create a new set until all pixels are in the set; pixels in the same set form a sub-region; obtain contrast data of the sub-region, and determine the sub-region with fixed shadow occlusion based on the contrast data of the sub-region.

[0018] Specifically, analyzing the effect of the rotation speed of the rotating light ring on the contrast of the sub-regions further includes the following steps:

[0019] Establish the brightness model L of the sub-region: , where L, is the brightness of the sub-area, T is the rotation period of the rotating light ring, T=2π / w, where w is the rotation speed of the rotating light ring, L0 is the nominal brightness provided by the rotating light ring, and is related to the brightness of the rotating light ring, θ t is the rotation angle of the rotating light ring, x(θ t ) is the light source visibility function, which is related to the angle of the rotating light ring;

[0020] Simplify L, , where is a constant; obtain the brightness of the sub-area under known brightness and speed, and solve it according to the brightness of the sub-area, the known brightness and speed of the rotating light ring ;according to The brightness of the sub-area of ​​any rotating light ring under any combination of speed and brightness is obtained. The maximum brightness Lmax and minimum brightness Lmin of the sub-area are obtained according to the brightness model of the sub-area. The contrast C is obtained based on the maximum brightness Lmax and minimum brightness Lmin of the sub-area, C = (Lmax-Lmin) / (Lmax-Lmin), and the contrast of the sub-area with fixed shadow occlusion is determined from it.

[0021] Specifically, generating a visibility assessment model for the sub-region according to the brightness and contrast of the sub-region further includes the following steps:

[0022] B=m×L+n×C+b, where B represents the visibility of the sub-area, m and n represent fitting coefficients, and b represents the bias; m, n, and b are solved using the least squares method; the tester observes the sub-area with fixed shadow occlusion under different brightness and contrast conditions, and makes several level annotations based on the observation results. The annotation results are divided into intervals, and each interval corresponds to a level annotation; the annotation results under different brightness and contrast conditions are obtained, and the brightness and contrast during the test are used as input and the level annotation is used as output, and m, n, and b are solved using the least squares method.

[0023] Specifically, determining the rotation speed and brightness combination of the rotating light ring further includes the following steps:

[0024] Get the energy consumption function f(w,L0) of the rotating light ring and establish the objective function: min{f(w,L0)}, with the constraints as follows: And whether the visibility meets the requirements, where thr is the lighting requirement of the working area. When the constraints are met, the objective function is solved to obtain the rotation speed and brightness combination of the rotating light ring.

[0025] Compared with the prior art, the beneficial effects of the present invention are: utilizing the dynamic lighting effect of the rotating light ring, the direction of the light is continuously changed through rotation, and the light is evenly distributed to all corners of the working area, reducing the shadows that may be caused by fixed light sources; the reduced shadows can improve the visibility of the working area, reduce safety hazards caused by unclear vision, and improve overall production efficiency; by establishing a model between the energy consumption of the rotating light ring and the rotation speed and brightness, the optimal energy efficiency can be achieved under the premise of ensuring the lighting quality of the working area; when the brightness of the light source is high, the light intensity of the illuminated area is very strong, while the light intensity of the shadow area is relatively weak. This strong contrast makes the shadow area appear dimmer, increasing the visual difference between the shadow and illuminated areas. The visual difference between the shadow and illuminated areas is reduced by rotating the light ring, and the visual effect of the working area is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1The figure is a structural diagram of a rotating light ring brightness control system based on data analysis according to the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] Example: Figure 1 As shown, the present invention provides a technical solution, a rotating light ring brightness control system based on data analysis, including a data acquisition module, a rotating light ring control module, a data storage module and an analysis module; the output end of the data acquisition module is connected to the input end of the data storage module, for acquiring environmental data and image data of the working area; the output end of the data storage module is connected to the input end of the analysis module, for storing historical environmental data of the working area, brightness, speed and energy consumption data of the rotating light ring during operation; the output end of the analysis module is connected to the input end of the rotating light ring control module, for analyzing the influence of the speed of the rotating light ring on the contrast of the sub-area, analyzing the influence of the brightness of the rotating light ring on the brightness of the sub-area, and determining the speed and brightness of the rotating light ring; the rotating light ring control module, the user controls the speed and brightness of the rotating light ring.

[0029] Specifically, the data acquisition module further includes an image acquisition unit and a sensor unit; the image acquisition unit is used to acquire image data of the working area; and the sensor unit is used to acquire environmental data within the working area.

[0030] Specifically, the analysis module also includes a brightness extraction unit, an area division unit, a visibility evaluation unit and a brightness contrast analysis unit; the brightness extraction unit is used to convert the image data of the working area into a color space and obtain brightness data based on color characteristics; the area division unit is used to divide the working area into sub-areas and determine the sub-areas where fixed shadows are blocked; the brightness contrast analysis unit is used to analyze the relationship between brightness and the speed and brightness of the rotating light ring; the visibility evaluation unit determines the visibility of the sub-areas where fixed shadows are blocked based on the brightness and contrast of the sub-areas where fixed shadows are blocked.

[0031] Specifically, the rotating light ring control module also includes a brightness control unit, a speed control unit and a brightness switching unit; the brightness control unit is used to control the lighting brightness of the rotating light ring; the speed control unit is used to control the speed of the rotating light ring; the brightness switching unit allows the user to control the rotating light ring to switch between different lighting brightnesses.

[0032] Embodiment: The present invention provides a technical solution, a method for controlling the brightness of a rotating light ring based on data analysis, comprising the following steps:

[0033] S11, obtaining lighting requirements for the working area and parameter data of the rotating light ring; determining a base brightness of the rotating light ring according to the lighting requirements of the working area; and dividing the working area into sub-areas based on contrast data of the working area when the rotating light ring is not rotating;

[0034] S12, analyzing the effect of the rotation speed of the rotating light ring on the contrast of the sub-regions, analyzing the effect of the brightness of the rotating light ring on the brightness of the sub-regions, and determining the rotation speed and brightness of the rotating light ring;

[0035] S13, generate a visibility assessment model for the sub-area based on the brightness and contrast of the sub-area, and determine whether the visibility of the sub-area meets the requirements. If not, return to step S12 to re-control the speed and brightness of the rotating light ring; if it meets the requirements, control the rotating light ring according to the speed and brightness in step S12.

[0036] Specifically, determining the basic brightness of the rotating light ring according to the lighting requirements of the work area further includes the following steps:

[0037] The ambient light intensity of the working area is obtained, converted into an electrical signal, and sent to the computer of the rotating light ring control module. The built-in algorithm in the computer analyzes the ambient light intensity and the lighting requirements of the working area to determine the basic brightness of the rotating light ring.

[0038] The basic projection brightness is the brightness when the rotating light ring is not rotating. At this time, the rotating light ring is equivalent to an ordinary fixed lighting device, which can only provide a light source in a fixed position and a fixed direction. At this time, the obstruction of the object will produce a shadow with a clear boundary between light and dark. The shadow can only be illuminated by the light that penetrates the obstruction. In order to make the brightness of the shadow part of the working area meet the requirements, the brightness of the lighting equipment needs to be increased. At this time, the brightness of the shadow part will barely meet the requirements, while the brightness of other parts will be too high, resulting in energy waste.

[0039] The lighting effect of the rotating light ring will be affected by environmental factors, including but not limited to ambient light intensity, temperature, and humidity. Ambient light intensity is the most important factor, directly affecting the brightness of the work area. Temperature and humidity affect the brightness of the work area by affecting the lighting effect of the rotating light ring. High humidity may cause light scattering, affecting the lighting effect. Temperature also affects the performance of the rotating light ring. High temperatures may cause the lamp to overheat, while low temperatures may affect the brightness of the rotating light ring. The computer generates the basic brightness of the rotating light ring based on the current ambient light intensity, taking temperature and humidity into consideration.

[0040] Specifically, the working area is divided into sub-areas according to the contrast data of the working area when the rotating light ring is not rotating, and the following steps are also included:

[0041] Step 1: Obtain image data within the working area when the rotating light ring is not rotating at a base brightness, convert the image data into a color space, and extract the color features of the working area; divide the working area into sub-areas based on the color features of the working area: obtain the color features of all pixels in the working area, obtain the brightness values ​​of the pixels based on the color features, obtain the contrast of the pixels based on the brightness values ​​of the pixels, perform unsupervised classification on the contrast of the pixels, obtain the color features and classification clusters of the class centers, and obtain the critical error of the contrast between the pixels in the classification cluster and the class center based on the color features of the classification cluster and the class center;

[0042] Step 2: Create a set and randomly select a pixel i outside the set to add to the set; calculate the contrast error between the pixels around pixel i and pixel i. If the error is not greater than the critical error, then add the pixels around pixel i to the set; for the pixels added to the set, continue processing the surrounding pixels until no new pixels can be added to the set; adjacent means that the distance between pixels is equal to one pixel spacing;

[0043] Step 3: Return to step 2 to create a new set until all pixels are in the set; pixels in the same set form a sub-region; obtain contrast data of the sub-region, and determine the sub-region with fixed shadow occlusion based on the contrast data of the sub-region.

[0044] The purpose of these steps is to determine the areas obscured by fixed shadows and improve the lighting conditions of these areas obscured by fixed shadows by utilizing the dynamic lighting effect of the rotating light ring; optionally, the image data is converted into RGB color space, at which time the R, G, and B channel values ​​of the pixels in the image data can be obtained, and the brightness value y of the pixel can be obtained according to the R, G, and B channel values ​​of the pixel, y=0.2126R+0.7152G+0.0722B; the contrast of each pixel can be obtained according to the brightness value of each pixel; the contrast data of the sub-region can be determined by calculating the average value of the contrast of all pixels in the sub-region, and the sub-region is divided into sub-regions with fixed shadows and other sub-regions by statistical methods; optionally, the upper and lower lines of the sub-region contrast are obtained by the box plot method, and the sub-region obscured by fixed shadows is determined by the upper and lower lines.

[0045] Specifically, analyzing the effect of the rotation speed of the rotating light ring on the contrast of the sub-regions further includes the following steps:

[0046] Establish the brightness model L of the sub-region: , where L, is the brightness of the sub-area, T is the rotation period of the rotating light ring, T=2π / w, where w is the rotation speed of the rotating light ring, L0 is the nominal brightness provided by the rotating light ring, and is related to the brightness of the rotating light ring, θ t is the rotation angle of the rotating light ring, x(θ t ) is the light source visibility function, which is related to the angle of the rotating light ring;

[0047] Simplify L, , where is a constant; obtain the brightness of the sub-area under known brightness and speed, and solve it according to the brightness of the sub-area, the known brightness and speed of the rotating light ring ;according to The brightness of the sub-area of ​​any rotating light ring under any combination of speed and brightness is obtained. The maximum brightness Lmax and minimum brightness Lmin of the sub-area are obtained according to the brightness model of the sub-area. The contrast C is obtained based on the maximum brightness Lmax and minimum brightness Lmin of the sub-area, C = (Lmax-Lmin) / (Lmax-Lmin), and the contrast of the sub-area with fixed shadow occlusion is determined from it.

[0048] First, since the rotating light ring rotates according to a fixed period, the rotation angle θ of the rotating light ring is t shows periodic changes, and the light source visibility function x(θ t ) also changes with the angle θ t The periodic change of the periodic change shows periodic change, so for the integration within one cycle For example, the result is a fixed value and is not affected by the rotation speed; because the influence of the rotating light ring angle has been passed through x(θ t ) is shown, so the nominal brightness L0 provided by the rotating light ring is a fixed value, which is only related to the brightness of the rotating light ring. The brightness is determined by the computer according to environmental factors.

[0049] get The brightness of the sub-area at any speed w and nominal brightness L0 provided by the rotating light ring can then be determined, avoiding repeated testing and measurement. Only one set of data is needed. The lighting effect can be evaluated based on the brightness and contrast of the sub-area.

[0050] Specifically, generating a visibility assessment model for the sub-region according to the brightness and contrast of the sub-region further includes the following steps:

[0051] B=m×L+n×C+b, where B represents the visibility of the sub-area, m and n represent fitting coefficients, and b represents the bias; m, n, and b are solved using the least squares method; the tester observes the sub-area with fixed shadow occlusion under different brightness and contrast conditions, and makes several level annotations based on the observation results. The annotation results are divided into intervals, and each interval corresponds to a level annotation; the annotation results under different brightness and contrast conditions are obtained, and the brightness and contrast during the test are used as input and the level annotation is used as output, and m, n, and b are solved using the least squares method.

[0052] Specifically, it can be divided into three levels according to the observation effect of the personnel: easy to ignore, normal observation and small impact. Easy to ignore means that due to the influence of brightness and contrast, personnel need to concentrate their attention to observe. Usually, the sub-area with fixed shadow obstruction is difficult for personnel to observe, and personnel tend to ignore the sub-area with fixed shadow obstruction; normal observation means that personnel will be affected by brightness and contrast, but can observe the sub-area with fixed shadow obstruction normally; and small impact means that personnel can observe the information of the sub-area with fixed shadow obstruction like observing other sub-areas; assign values ​​of 2, 1, and 0 respectively. When B is greater than or equal to 2, it is judged to be easy to ignore. When B is between 2 and 1, it is judged to be normally observed. When B is between 1 and 0, it is judged to have little impact. Preferably, it is only necessary to judge the relationship between 2 and B, because in other cases, the sub-area with fixed shadow obstruction meets the observation requirements of personnel.

[0053] Specifically, determining the rotation speed and brightness combination of the rotating light ring further includes the following steps:

[0054] Get the energy consumption function f(w,L0) of the rotating light ring and establish the objective function: min{f(w,L0)}, with the constraints as follows: And whether the visibility meets the requirements, where thr is the lighting requirement of the working area. When the constraints are met, the objective function is solved to obtain the rotation speed and brightness combination of the rotating light ring.

[0055] The energy consumption of a rotating light ring consists of three components: the energy consumption of the LED light (P1), the energy consumption of the motor (P2), and the energy consumption of the rotating light ring control system (P3). P3 is typically a fixed value. The energy consumption of the LED light (P1) is positively correlated with the brightness of the rotating light ring, while the energy consumption of the motor (P2) is positively correlated with the speed of the rotating light ring. The speed-energy consumption curve and brightness-energy consumption curve for the rotating light ring can be obtained using the control variable method. This means that the energy consumption of the rotating light ring at different brightness levels is tested while maintaining the same speed, and vice versa. Based on these speed-energy consumption curves and brightness-energy consumption curves, the energy consumption function f(w, L0) for the rotating light ring is derived.

[0056] The goal is to get the lowest energy consumption of the rotating light ring when the brightness of the working area meets the requirements and the contrast of the sub-area with fixed shadow occlusion meets the requirements; first, according to the constraints , which is simplified to , which is a hyperbolic paraboloid function about w and L0, which can restrict the domain of w and L0; then f(w,L0) is taken as the partial derivative with respect to w and L0 to obtain the minimum point of f(w,L0) within the domain of w and L0. According to w and L0 at this time, it is judged whether the visibility of the sub-area with fixed shadow occlusion meets the requirements. If so, the speed and brightness setting with the lowest energy consumption are obtained. If not, since the illumination of the rotating light ring received by the sub-area with fixed shadow occlusion is attenuated, while other sub-areas can fully receive the illumination of the rotating light ring, reducing the brightness of the rotating light ring can reduce the difference in illumination intensity between the sub-area with fixed shadow occlusion and other sub-areas; since increasing the speed can increase the brightness of the sub-area with fixed shadow occlusion, w and L0 are moved from the minimum point in the direction of increasing the speed and reducing the brightness. By setting a certain step size, the speed and brightness when the visibility of the sub-area with fixed shadow occlusion meets the requirements are obtained in a cross-validation manner, which is also the final goal.

[0057] When the ambient lighting conditions change significantly, the basic brightness determined by the built-in algorithm in the computer changes significantly, and the above steps are repeated to obtain new speed and brightness targets.

[0058] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A method for controlling the brightness of a rotating light ring based on data analysis, characterized in that: The following steps are involved: S11, obtaining lighting requirements for the working area and parameter data of the rotating light ring; determining a base brightness of the rotating light ring according to the lighting requirements of the working area; and dividing the working area into sub-areas based on contrast data of the working area when the rotating light ring is not rotating; S12, analyzing the effect of the rotation speed of the rotating light ring on the contrast of the sub-regions, analyzing the effect of the brightness of the rotating light ring on the brightness of the sub-regions, and determining the rotation speed and brightness of the rotating light ring; S13, generating a visibility assessment model for the sub-region based on the brightness and contrast of the sub-region, and determining whether the visibility of the sub-region meets the requirements. If not, returning to step S12 to re-control the speed and brightness of the rotating light ring; if it meets the requirements, controlling the rotating light ring according to the speed and brightness in step S12; The analysis of the influence of the rotation speed of the rotating light ring on the contrast of the sub-regions further includes the following steps: Establish the brightness model L of the sub-region: Where L is the brightness of the sub-area, T is the rotation period of the rotating light ring, T = 2π / w, where w is the rotation speed of the rotating light ring, L0 is the nominal brightness provided by the rotating light ring, which is related to the brightness of the rotating light ring, θ t is the rotation angle of the rotating light ring, x(θ t ) is the light source visibility function, which is related to the angle of the rotating light ring; Simplify L, In the formula is a constant; obtain the brightness of the sub-area under known brightness and speed, and solve it according to the brightness of the sub-area, the known brightness and speed of the rotating light ring according to The brightness of the sub-area of ​​any rotating light ring under the combination of rotation speed and brightness is obtained; the maximum brightness Lmax and minimum brightness Lmin of the sub-area are obtained according to the brightness model of the sub-area; the contrast C is obtained according to the maximum brightness Lmax and minimum brightness Lmin of the sub-area, C = (Lmax-Lmin) / (Lmax-Lmin), and the contrast of the sub-area with fixed shadow occlusion is determined from it.

2. The method for controlling brightness of a rotating light ring based on data analysis according to claim 1, characterized in that: Determining the basic brightness of the rotating light ring according to the lighting requirements of the working area also includes the following steps: The ambient light intensity of the working area is obtained, converted into an electrical signal, and sent to the computer of the rotating light ring control module. The built-in algorithm in the computer analyzes the ambient light intensity and the lighting requirements of the working area to determine the basic brightness of the rotating light ring.

3. The method for controlling brightness of a rotating light ring based on data analysis according to claim 2, characterized in that: The method of dividing the working area into sub-areas according to the contrast data of the working area when the rotating light ring is not rotating further includes the following steps: Step 1: Obtain image data within the working area when the rotating light ring is not rotating at a base brightness, convert the image data into a color space, and extract the color features of the working area; divide the working area into sub-areas based on the color features of the working area: obtain the color features of all pixels in the working area, obtain the brightness values ​​of the pixels based on the color features, obtain the contrast of the pixels based on the brightness values ​​of the pixels, perform unsupervised classification on the contrast of the pixels, obtain the color features and classification clusters of the class centers, and obtain the critical error of the contrast between the pixels in the classification cluster and the class center based on the color features of the classification cluster and the class center; Step 2: Create a set and randomly select a pixel i outside the set to add to the set; calculate the contrast error between the pixels around pixel i and pixel i. If the error is not greater than the critical error, then add the pixels around pixel i to the set; for the pixels added to the set, continue processing the surrounding pixels until no new pixels can be added to the set; adjacent means that the distance between pixels is equal to one pixel spacing; Step 3: Return to step 2 to create a new set until all pixels are in the set; pixels in the same set form a sub-region; obtain contrast data of the sub-region, and determine the sub-region with fixed shadow occlusion based on the contrast data of the sub-region.

4. The method for controlling brightness of a rotating light ring based on data analysis according to claim 3, characterized in that: Generating a visibility assessment model of a sub-region according to the brightness and contrast of the sub-region further comprises the following steps: B = m × L + n × C + b, where B represents the visibility of the sub-area, m and n represent fitting coefficients, and b represents the bias; m, n, and b are solved using the least squares method; the tester observes the sub-area with fixed shadow occlusion under different brightness and contrast conditions, and makes several level annotations based on the observation results. The intervals are divided according to the annotation results, and each interval corresponds to a level annotation; the annotation results under different brightness and contrast conditions are obtained, and the brightness and contrast during the test are used as input and the level annotation is used as output, and m, n, and b are solved using the least squares method.

5. The method for controlling brightness of a rotating light ring based on data analysis according to claim 4, characterized in that: Determining the rotation speed and brightness combination of the rotating light ring further includes the following steps: Get the energy consumption function f(w,L0) of the rotating light ring and establish the objective function: min{f(w,L0)}, with the constraints as follows: And whether the visibility meets the requirements, where thr is the lighting requirement of the working area. When the constraints are met, the objective function is solved to obtain the rotation speed and brightness combination of the rotating light ring.

6. A rotating light ring brightness control system based on data analysis, used to implement the rotating light ring brightness control method based on data analysis as claimed in claim 1, characterized in that: It includes a data acquisition module, a rotating light ring control module, a data storage module and an analysis module; the output end of the data acquisition module is connected to the input end of the data storage module, and is used to obtain environmental data and image data of the working area; the output end of the data storage module is connected to the input end of the analysis module, and is used to store historical environmental data of the working area, the brightness, speed and energy consumption data of the rotating light ring during operation; the output end of the analysis module is connected to the input end of the rotating light ring control module, and is used to analyze the influence of the speed of the rotating light ring on the contrast of the sub-area, analyze the influence of the brightness of the rotating light ring on the brightness of the sub-area, and determine the speed and brightness of the rotating light ring; the rotating light ring control module allows the user to control the speed and brightness of the rotating light ring.

7. The data analysis-based rotating light ring brightness control system according to claim 6, characterized in that: The data acquisition module further includes an image acquisition unit and a sensor unit; the image acquisition unit is used to acquire image data of the working area; and the sensor unit is used to acquire environmental data within the working area.

8. The data analysis-based rotating light ring brightness control system according to claim 7, characterized in that: The analysis module also includes a brightness extraction unit, a region division unit, a visibility assessment unit, and a brightness contrast analysis unit; the brightness extraction unit is used to convert the image data of the working area into a color space and obtain brightness data based on color features; the region division unit is used to divide the working area into sub-areas and determine the sub-areas where fixed shadows are blocked; the brightness contrast analysis unit is used to analyze the relationship between brightness and the rotation speed and brightness of the rotating light ring; and the visibility assessment unit determines the visibility of the sub-areas where fixed shadows are blocked based on the brightness and contrast of the sub-areas where fixed shadows are blocked.

9. The data analysis-based rotating light ring brightness control system according to claim 8, characterized in that: The rotating light ring control module also includes a brightness control unit, a speed control unit and a brightness switching unit; the brightness control unit is used to control the lighting brightness of the rotating light ring; the speed control unit is used to control the speed of the rotating light ring; the brightness switching unit is used to control the rotating light ring to switch between different lighting brightnesses.

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