Building facade floodlighting intelligent control method and system

Abstract

The invention belongs to the technical field of illumination control, and particularly relates to an intelligent control method and system for floodlight illumination of a building facade, and the method comprises the following steps: S1, starting a floodlight illumination system of the building facade; s2, acquiring a low dynamic range image of the building facade; converting the low dynamic range image into a high dynamic range image; the ratio X of the average brightness value of the building facade area to the average brightness value of the background area is calculated; s3, when Xlt; when X is greater than or equal to 3.0 and less than or equal to 5.0, controlling a floodlight illumination system of the building facade to increase the brightness, when X is larger than or equal to 3.0 and smaller than or equal to 5.0, the brightness of the building facade floodlighting system is kept unchanged; when X is greater than 5.0, controlling the building facade floodlighting system to reduce the brightness, so that X is greater than or equal to 3.0 and less than or equal to 5.0; and S4, repeating the steps S2 to S3 at set intervals. The simple and reliable monitoring system is adopted to monitor the environment in real time, the lighting effect is adjusted in real time according to environment changes, energy consumption is reduced, and dazzle light is avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of lighting control, and in particular to an intelligent control method and system for floodlighting of building facades. Background Art

[0002] As the most important form of urban night lighting, the optimization and improvement of building facade floodlighting is of great significance to eliminating light pollution and reducing energy consumption.

[0003] The invention patent application number CN202311300956.9 provides a method and system for group control of floodlighting on building facades. The system includes at least one LED lamp connected by a data cable to form a collectively controlled dot matrix lighting group. The dot matrix lighting group control portion includes both hardware and software. At least one sensor is installed on the building facade. The central control data processing center can be remotely controlled or remotely controlled via a mobile terminal, and a pre-imaging simulation model is constructed in the central control data processing center. The central control data processing center controls the timing of the LED lamps. The total power control limit for the day is obtained, and based on the total power control limit, the power consumption plan for the LED lamps for the day is obtained. Real-time power statistics are performed on the LED lamps. By setting up an image processing module, a simulation imaging module, a power plan module, and a real-time power statistics module, the effects are displayed on the display screen, eliminating the need for on-site deployment of LED lamps and reducing energy consumption. By simulating the effects of LED lamps during the day and displaying them on a screen, the system eliminates the need for on-site deployment of LED lamps, reducing energy consumption and eliminating waiting times for commissioning. Furthermore, faulty LED lamps can be quickly identified, and electricity usage can be planned and monitored to prevent overspending. This patent primarily determines lighting effects through simulated imaging and does not allow for precise control and real-time adjustment of lighting brightness based on the surrounding environment.

[0004] The invention patent application with application number CN202410762823.1 discloses a method and intelligent control platform for coordinated floodlight control based on urban landscapes. It creates a regional dataset containing the locations and IDs of m floodlights, establishes communication with the lights, and installs sensors on each light. The sensors collect environmental data to construct influencing factors. These factors are adjusted according to user preferences, and an evaluation network is established to analyze the mutual influence between lights. Environmental adaptability and overall adaptability are calculated to optimize floodlight control. Finally, coordinated control of lights is performed based on the optimization results. This application can solve the problem that the existing technology lacks flexibility and intelligence, and is unable to dynamically adjust lighting strategies according to environmental changes and user needs, resulting in energy waste and light pollution. It responds to environmental changes in real time, intelligently adjusts light output, and improves light control efficiency. This technology requires the installation of sensors on each light to collect environmental data. The number of sensors required is large, and the implementation cost is very high.

[0005] The invention patent application number CN202410901729.X discloses a method and system for intelligent centralized control of outdoor landscape lighting and indoor lighting. The method includes: obtaining the current lighting scenario mode; determining the lighting parameters of each outdoor landscape lighting device and each indoor lighting device based on the current lighting scenario mode; controlling the outdoor landscape lighting device and the indoor lighting device to perform lighting according to the parameters of each outdoor landscape lighting device and each indoor lighting device; detecting the outdoor landscape lighting effect, the indoor lighting effect, and the overall landscape and indoor lighting effect; and adjusting the lighting parameters of the outdoor landscape lighting device and / or the indoor lighting device based on the outdoor landscape lighting effect, the indoor lighting effect, and the overall landscape and indoor lighting effect. The present invention can improve the overall lighting effect of indoor and outdoor landscape lighting in a building. This technology is mainly aimed at scenes with simultaneous indoor and outdoor lighting, has a narrow detection range, and buildings with floodlighting systems on the facades rarely have indoor lighting at night. Therefore, it is not suitable for floodlighting control of building facades. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide an intelligent control method and system for building facade floodlighting, which is specifically designed for intelligent control of building facade floodlighting systems. A simple and reliable monitoring system is used to monitor the environment in real time, and the lighting effect is adjusted in real time according to environmental changes, thereby reducing energy consumption and avoiding glare.

[0007] To solve the above problems, the technical solution adopted by the present invention is: an intelligent control method for building facade floodlighting, comprising the following steps: S1. Turn on the building facade floodlighting system at the set time; S2. Acquire a low dynamic range image of the building facade, where the low dynamic range image includes the entire building facade; Convert low dynamic range images to high dynamic range images; Determine a building facade area in the high dynamic range image, and an area surrounding the building facade area as a background area; Calculate the brightness value of each pixel in the building facade area and the background area, and calculate the average brightness value of the building facade area and the background area; Calculate the ratio X of the average brightness value of the building facade area and the background area; S3. When X < 3.0, control the building facade floodlighting system to increase the brightness so that 3.0 ≤ X ≤ 5.0; when 3.0 ≤ X ≤ 5.0, the brightness of the building facade floodlighting system remains unchanged; when 5.0 < X, control the building facade floodlighting system to reduce the brightness so that 3.0 ≤ X ≤ 5.0; Perform glare analysis on the building facade area. When the glare of a certain pixel exceeds the threshold, the brightness of the corresponding lighting will be reduced. S4. Repeat steps S2 to S3 at regular intervals.

[0008] Furthermore, after step S3 is executed, the flow of people Y in the building facade floodlighting viewing area is collected. When the Y value is less than S / 10, the brightness of the building facade floodlighting system is reduced. When the Y value ∈ [S / 10, S / 5), the brightness of the building facade floodlighting system remains unchanged; when the Y value is ≥ S / 5, the brightness of the building facade floodlighting system is increased; where S is the area value of the building facade floodlighting viewing area; when adjusting the brightness according to the flow of people, ensure that 3.0≤X≤5.0.

[0009] Furthermore, in step S3, the glare analysis includes: calculating a ratio Z of the brightness value of each pixel in the building facade area to the average brightness value of the building facade area, and taking pixels with Z≥3 as pixels generating glare.

[0010] Furthermore, in step S2, the physical brightness information in the low dynamic range image is restored using the brightness response function, thereby converting the low dynamic range image into a high dynamic range image, and the high dynamic range image is subjected to field of view halo correction, brightness calibration, and geometric calibration using Hdrscope software.

[0011] Furthermore, in step S2, the building facade area is determined in the Evalglare software, and then the brightness is extracted from the RGB channels of the high dynamic range image according to the lighting information of the high dynamic range image, and the brightness value of each pixel is calculated.

[0012] Furthermore, in step S1, the building facade floodlighting system is turned on at 18:00 in the afternoon; In step S2, if X obtained by the initial calculation is less than 1.2, the building facade floodlighting system is turned off; if X obtained by the initial calculation is greater than or equal to 1.2, the building facade floodlighting system remains on, and step S3 is executed; the building facade floodlighting system is turned off for a period of time and then turned on again, and the above process is repeated; each time the building facade floodlighting system is turned on, the brightness of the building facade floodlighting system is the same initial brightness.

[0013] Furthermore, starting from the first execution of step S3, the average brightness value of the background area calculated each time is recorded. After midnight, after each calculation of the average brightness value of the background area, the maximum average brightness value of the background area is found, and the ratio of the maximum average brightness value to the last calculated average brightness value is calculated. When the ratio is greater than or equal to 5, the building facade floodlighting system is turned off.

[0014] Furthermore, in step S2, a low dynamic range image of the building facade is acquired by shooting from above.

[0015] A system for the above method, comprising: Building facade floodlighting system, used for floodlighting of building facades; An image acquisition mechanism, configured to acquire a low dynamic range image of the building facade, wherein the low dynamic range image includes the entire building facade; Processing organizations that carry out the following processes: Convert low dynamic range images to high dynamic range images; Determine a building facade area in the high dynamic range image, and an area surrounding the building facade area as a background area; Calculate the brightness value of each pixel in the building facade area and the background area, and calculate the average brightness value of the building facade area and the background area; Calculate the ratio X of the average brightness value of the building facade area and the background area; When X<3.0, the building facade floodlighting system is controlled to increase the brightness so that 3.0≤X≤5.0; when 3.0≤X≤5.0, the brightness of the building facade floodlighting system remains unchanged; when 5.0<X, the building facade floodlighting system is controlled to reduce the brightness so that 3.0≤X≤5.0; Perform glare analysis on the building facade area. When the glare of a certain pixel exceeds the threshold, the brightness of the corresponding lighting is lowered.

[0016] Furthermore, it also includes a crowd flow collection mechanism for collecting the crowd flow Y in the floodlit viewing area of ​​the building facade; The processing mechanism also performs the following processes: When the Y value is less than S / 10, the brightness of the building facade floodlighting system will be reduced. When the Y value ∈ [S / 10, S / 5), the brightness of the building facade floodlighting system will remain unchanged. When the Y value is greater than or equal to S / 5, the brightness of the building facade floodlighting system will be increased. S is the area of ​​the building facade floodlighting viewing area. When adjusting the brightness according to the flow of people, ensure that 3.0≤X≤5.0.

[0017] The beneficial effects of the present invention are as follows: 1. Building facade floodlighting is primarily used to enhance the quality of urban nightscapes. The lighting effect is closely related to the brightness of the surrounding environment. By calculating the brightness of the building facade area and the background area and adjusting the brightness of the building facade floodlighting system based on the ratio of the two brightnesses, the present invention consistently controls the ratio of the average brightness values ​​of the building facade area to the background area between 3 and 5, thereby ensuring a good lighting landscape effect. When the brightness of the background area is low, the building facade area, even with a relatively low brightness, can still create a striking nightscape. Therefore, appropriately reducing the brightness of the building facade floodlighting system can reduce energy consumption.

[0018] 2. The present invention performs real-time monitoring of building facades by acquiring low-dynamic-range images. The monitoring element utilizes an existing high-dynamic-range image sensor equipped with a wide-angle fisheye lens. A single monitoring device is required to capture images of the entire building facade and the surrounding environment. This monitoring device is simple to install and maintain, resulting in low implementation costs. Furthermore, image processing can be directly imported into existing, mature software such as HDRscope and Evalglare for automatic and rapid processing, eliminating the need for developing additional processing programs and further reducing implementation costs.

[0019] Since the monitoring data and data processing are relatively simple, only a small amount of image data needs to be processed each time, and batch processing is not required. The data processing volume is small, and the test conditions and operating requirements are low. The entire system is simple, reliable, and can be adjusted quickly.

[0020] 3. The present invention can avoid light pollution caused by glare by performing glare analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic flow chart of the control method of the present invention; Figure 2 It is a system block diagram of the present invention; Figure 3 It is a schematic diagram of the implementation of the present invention; DETAILED DESCRIPTION

[0022] The present invention will be further described below with reference to the accompanying drawings and examples.

[0023] The intelligent control method of building facade floodlighting of the present invention is as follows: Figure 1 As shown, the following steps are included: S1. Turn on the building facade floodlighting system at a set time. The set time can be between 5:00 PM and 8:00 PM, depending on the local daylight hours and the season, and should be turned on before dark. This time can be flexibly adjusted to suit the season, for example, it can be turned on at 7:30 PM in the summer and 6:00 PM in the winter.

[0024] S2. Obtain a low dynamic range image of the building facade to provide original image support for extracting floodlighting environment parameters of the building facade. The low dynamic range image includes the entire building facade.

[0025] Specifically, a high dynamic range image sensor can be used to capture the building facade and its surrounding areas to obtain a low dynamic range image. The low dynamic range image includes the entire building facade and part of the surrounding area. The area around the building facade is the background area, which can include the sky, surrounding buildings, etc. The area of ​​the building facade accounts for approximately 50% of the entire image area. The building facade is usually located in the lower middle part of the low dynamic range image. The area above the building facade is the sky. The distances from the left and right edges of the building facade to the left and right edges of the image are as equal as possible, so that the building facade is located in the middle of the image as much as possible. In step S1, a low dynamic range image of the building facade can be obtained by shooting from above. Shooting from above means that the image capture device is in a lower position and shoots the entire building facade at an upward angle.

[0026] Multiple low dynamic range images are acquired each time, and the multiple low dynamic range images can be synthesized into a high dynamic range image.

[0027] In order to extract the brightness information of each pixel in the image, the low dynamic range image is converted into a high dynamic range image.

[0028] Specifically, a luminance response function is used to restore the physical luminance information in low-dynamic-range images, thereby converting them into high-dynamic-range images while reducing issues such as image alignment and artifacts. The luminance response function can be implemented using an existing function and can be automatically implemented in the HDRscope software. HDRscope software is then used to perform field-of-view vignetting correction, luminance calibration, and geometric calibration on the high-dynamic-range images to create a complete luminance map of the camera's field of view.

[0029] The building facade area is determined in the high dynamic range image, and the area surrounding the building facade area is used as the background area. The brightness value of each pixel in the building facade area and the background area is calculated, and the average brightness value of the building facade area and the background area is calculated.

[0030] Specifically, the high-dynamic-range image can be imported into Evalglare software. Within Evalglare, the building facade area can be identified and demarcated using dividing lines. Based on the illumination information of the high-dynamic-range image, the luminance is extracted from the image's RGB channels or specific light source information (such as luminance distribution, average luminance, and glare index). The luminance value of each pixel in the building facade and background areas is calculated. A visual luminance map can be generated based on the luminance values ​​of each pixel, showing the luminance intensity of different areas. This luminance map can be displayed on a display device, allowing managers to intuitively understand the luminance intensity of each area.

[0031] Calculate the ratio X of the average brightness of the building facade area and the background area to facilitate the adjustment of the brightness of the building facade floodlighting system. Calculate the average brightness of the building facade area and the background area separately, and then divide the calculated results to obtain the ratio X.

[0032] S3. When X<3.0, control the building facade floodlighting system to increase the brightness so that 3.0≤X≤5.0; when 3.0≤X≤5.0, the brightness of the building facade floodlighting system remains unchanged; when 5.0<X, control the building facade floodlighting system to reduce the brightness so that 3.0≤X≤5.0.

[0033] Building facade floodlighting is primarily used to enhance the quality of a city's nightscape. The lighting effect is closely related to the brightness of the surrounding environment (background area). When the background brightness is high, the building facade floodlighting is not conspicuous enough. When 3.0 ≤ X ≤ 5.0, the building facade floodlighting can achieve a better landscape effect. Therefore, when X < 3.0, the building facade floodlighting system is controlled to increase the brightness, making the building facade floodlighting light more prominent, thereby ensuring the nighttime landscape effect. When the background brightness is low, the building facade floodlighting light is prominent, but may result in energy waste. Therefore, when 5.0 < X, the building facade floodlighting system is controlled to reduce the brightness. Maintaining the X value within 3.0 ≤ X ≤ 5.0 ensures a good landscape effect while reducing the energy consumption of the building facade floodlighting system.

[0034] In order to prevent glare pollution, glare analysis is performed on the building facade area. When the glare of a certain pixel exceeds the threshold, the brightness of the corresponding lighting is lowered.

[0035] Specifically, glare analysis involves calculating the ratio (Z) of the brightness value of each pixel in the building facade area to the average brightness value for the building facade area. Pixels with a Z value ≥ 3 are considered glare-generating pixels. The brightness value data for each area can be imported into Evalglare software for glare analysis (GR glare value). After Evalglare reads the brightness map data for each area, pixels with brightness values ​​exceeding a certain threshold are identified as potential glare sources. The threshold brightness is defined as the average brightness of the building facade area multiplied by 3. This prevents over-detection of weaker light sources while ensuring that areas with stronger glare are not missed.

[0036] S4. Repeat steps S2 to S3 at regular intervals. Steps S2 to S3 may be repeated every 5 minutes, 10 minutes, 15 minutes, or 20 minutes to timely adjust the brightness of the building facade floodlighting according to changes in background brightness.

[0037] Since building facade floodlighting is primarily for residents and tourists, ensuring optimal lighting effects is crucial during holidays and peak periods, when the number of visitors is high. When the number of visitors is low, the brightness of the building facade floodlighting system can be appropriately reduced to save energy. Therefore, the present invention also flexibly adjusts the brightness of the building facade floodlighting based on the number of visitors.

[0038] Specifically, after step S3 and before step S4, the pedestrian flow Y within the building facade floodlighting viewing area is collected. The building facade floodlighting viewing area refers to the area where the building facade floodlighting can be viewed, and specifically can be the square or road area in front of the building. Crowd flow data within the building facade floodlighting viewing area can be collected using crowd flow monitoring technology based on channel state information (CSI).

[0039] Generally speaking, the comfortable and standard per capita area of ​​the square area in front of the building is 5 to 10.0 m 2 / person. Assuming the building square area is S, then the standard range of pedestrian flow is Y∈[S / 10,S / 5). Therefore, the specific method of adjusting the intensity of the building facade floodlighting system according to the pedestrian flow is: When the Y value is less than S / 10, indicating a low number of visitors or residents, the brightness of the building facade floodlighting system is reduced to reduce energy consumption. When the Y value ∈ [S / 10, S / 5), the brightness of the building facade floodlighting system remains unchanged. When the Y value ≥ S / 5, indicating a high number of visitors or residents, the brightness of the building facade floodlighting system is increased to enhance the landscape effect. Where S is the area of ​​the building facade floodlighting viewing area. When adjusting the brightness based on the number of visitors, ensure that 3.0 ≤ X ≤ 5.0.

[0040] In the evening, the brightness of the background area is affected by the weather. For example, on sunny days, the background area is brighter, while on rainy days, the background area is darker. If the building facade floodlighting system is turned on at a set time every night, when the background area is brighter, it will waste energy.

[0041] In order to reduce energy consumption and start the building facade floodlighting system more scientifically and flexibly, the present invention starts the building facade floodlighting system at 18:00 in the afternoon in step S1, and then executes step S2.

[0042] In step S2, if X obtained in the initial calculation (the first calculation after the building facade floodlighting system is turned on) is less than 1.2, it indicates that the background brightness is too high and the external light is relatively sufficient, making it unsuitable to view the building facade floodlighting. Therefore, the building facade floodlighting system is turned off to save energy. If X obtained in the initial calculation is greater than or equal to 1.2, it indicates that the external environment is relatively dark and the building facade floodlighting has a good landscape effect. The building facade floodlighting system meets the conditions for turning on, can remain on, and step S3 is executed.

[0043] If X is less than 1.2 and the building facade floodlighting system is turned off, the building facade floodlighting system remains off for a period of time and then turned on again. For example, the building facade floodlighting system is turned off for 15 minutes and then turned on again, and the above process is repeated. Each time the building facade floodlighting system is turned on, the brightness of the building facade floodlighting system is the same initial brightness, and the initial brightness value can be flexibly set according to different regions and climates.

[0044] After the building facade floodlighting is continuously illuminated, step S3 is executed. Starting from the first execution of step S3, the average brightness value of the background area calculated each time is recorded. After midnight, after each calculation of the average brightness value of the background area, the maximum average brightness value of the background area is found, and the ratio of the maximum average brightness value to the last calculated average brightness value is calculated. When the ratio is greater than or equal to 5, the building facade floodlighting system is turned off.

[0045] As time goes by, the brightness value of the background area usually decreases gradually, and after midnight, the flow of people in the surrounding area gradually decreases, and there is little point in maintaining lighting. Therefore, when the average brightness value of the background area drops to 1 / 5 of the maximum average brightness value, the building facade floodlighting system can be turned off to avoid wasting energy.

[0046] In addition, the color temperature of the building facade floodlighting system is adjusted in different seasons. For example, in winter (December to February), the lights are set to low color temperature and warm tones; in spring (March to May) and autumn (September to November), the lights are set to medium color temperature and neutral tones; and in summer (June to August), the lights are set to high color temperature and cool tones.

[0047] The system of the present invention, such as Figure 2 As shown, including: Building facade floodlighting system is used to floodlight the building facade.

[0048] An image acquisition mechanism, configured to acquire a low dynamic range image of the building facade, wherein the low dynamic range image includes the entire building facade; Processing organizations that carry out the following processes: Convert low dynamic range images to high dynamic range images; Determine a building facade area in the high dynamic range image, and an area surrounding the building facade area as a background area; Calculate the brightness value of each pixel in the building facade area and the background area, and calculate the average brightness value of the building facade area and the background area; Calculate the ratio X of the average brightness value of the building facade area and the background area; When X<3.0, the building facade floodlighting system is controlled to increase the brightness so that 3.0≤X≤5.0; when 3.0≤X≤5.0, the brightness of the building facade floodlighting system remains unchanged; when 5.0<X, the building facade floodlighting system is controlled to reduce the brightness so that 3.0≤X≤5.0; Perform glare analysis on the building facade area. When the glare of a certain pixel exceeds the threshold, the brightness of the corresponding lighting is lowered.

[0049] The building facade floodlighting system includes multiple lighting fixtures, each of which is connected to a processing mechanism that can control the switching and brightness changes of each lighting fixture individually, and can also control the switching and brightness changes of all lighting fixtures at the same time.

[0050] The image acquisition mechanism can use a high dynamic range image sensor equipped with a wide-angle fisheye lens, which can be installed on the ground at a height equal to that of the human eye. Figure 3As shown, the image acquisition mechanism's shooting angle approximates the angle at which the human body perceives light. The angle and range of the captured image approximate those seen by the human eye, ensuring a better viewing experience after adjusting the light. Specifically, the image acquisition mechanism can be installed at a height between 1.5 and 1.9 meters and can be directly mounted on existing advertising poles, surveillance mounting frames, streetlight poles, and other facilities, eliminating the need for high-altitude installation. This makes installation and maintenance easy and cost-effective.

[0051] The processing mechanism can adopt existing common processing equipment, such as computers, etc.

[0052] It also includes a crowd flow collection mechanism for collecting crowd flow Y in the floodlit viewing area of ​​the building facade; The processing mechanism also performs the following processes: When the Y value is less than S / 10, the brightness of the building facade floodlighting system will be reduced. When the Y value ∈ [S / 10, S / 5), the brightness of the building facade floodlighting system will remain unchanged. When the Y value is greater than or equal to S / 5, the brightness of the building facade floodlighting system will be increased. S is the area of ​​the building facade floodlighting viewing area. When adjusting the brightness according to the flow of people, ensure that 3.0≤X≤5.0.

[0053] The crowd flow collection mechanism uses WiFi devices to collect channel state information (CSI) corresponding to different number of people, monitoring the real-time flow of people in the venue. The crowd flow collection mechanism can be installed in the floodlit viewing area of ​​the building facade, such as the central area of ​​the building's front square.

[0054] In addition, the system may also include a memory and a display, the memory is used to store various data, and the display can display the brightness distribution of each area, etc.

[0055] In summary, the present invention calculates the brightness of the building facade and background areas and adjusts the brightness of the building facade floodlighting system based on the ratio of the two brightnesses, consistently controlling the ratio of the average brightness values ​​of the building facade and background areas between 3 and 5, thereby ensuring a good lighting landscape effect. When the brightness of the background area is low, the building facade area, even with relatively low brightness, can still create a striking night scene. Therefore, appropriately reducing the brightness of the building facade floodlighting system can reduce energy consumption.

[0056] The present invention performs real-time monitoring of building facades by acquiring low-dynamic-range images. The monitoring element utilizes an existing high-dynamic-range image sensor equipped with a wide-angle fisheye lens. A single monitoring device is required to capture images of the entire building facade and the surrounding environment. The monitoring device is installed on existing ground-based infrastructure, making installation and maintenance simple and low-cost. Furthermore, image processing can be directly imported into existing, mature software such as HDRscope and Evalglare for automatic and rapid processing, eliminating the need for developing additional processing programs and further reducing implementation costs.

[0057] In addition, the present invention can avoid light pollution caused by glare by performing glare analysis and timely reducing the brightness of corresponding lighting fixtures.

[0058] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An intelligent control method for building facade floodlighting, characterized in that: The following steps are involved: S1. Turn on the building facade floodlighting system at the set time; S2. Acquire a low dynamic range image of the building facade, where the low dynamic range image includes the entire building facade; Convert low dynamic range images to high dynamic range images; Determine a building facade area in the high dynamic range image, and an area surrounding the building facade area as a background area; Calculate the brightness value of each pixel in the building facade area and the background area, and calculate the average brightness value of the building facade area and the background area; Calculate the ratio X of the average brightness value of the building facade area and the background area; S3. When X < 3.0, control the building facade floodlighting system to increase the brightness so that 3.0 ≤ X ≤ 5.0; when 3.0 ≤ X ≤ 5.0, the brightness of the building facade floodlighting system remains unchanged; When 5.0<X, control the building facade floodlighting system to reduce the brightness so that 3.0≤X≤5.0; Perform glare analysis on the building facade area. When the glare of a certain pixel exceeds the threshold, the brightness of the corresponding lighting will be reduced. S4. Repeat steps S2 to S3 at regular intervals.

2. The intelligent control method for building facade floodlighting according to claim 1, characterized in that: After step S3 is executed, the flow of people Y in the building facade floodlighting viewing area is collected. When the value of Y is less than S / 10, the brightness of the building facade floodlighting system is reduced. When the value of Y∈[S / 10,S / 5), the brightness of the building facade floodlighting system remains unchanged; when the value of Y is greater than or equal to S / 5, the brightness of the building facade floodlighting system is increased; where S is the area value of the building facade floodlighting viewing area; when adjusting the brightness according to the flow of people, ensure that 3.0≤X≤5.

0.

3. The intelligent control method for building facade floodlighting according to claim 1, characterized in that: In step S3, the glare analysis includes: calculating the ratio Z of the brightness value of each pixel in the building facade area to the average brightness value of the building facade area, and taking pixels with Z≥3 as pixels generating glare.

4. The intelligent control method for building facade floodlighting according to claim 1, characterized in that: In step S2, the physical brightness information in the low dynamic range image is restored using the brightness response function, thereby converting the low dynamic range image into a high dynamic range image, and the high dynamic range image is subjected to field of view halo correction, brightness calibration, and geometric calibration using Hdrscope software.

5. The intelligent control method for building facade floodlighting according to claim 1, characterized in that: In step S2, the building facade area is determined in the Evalglare software, and then the brightness is extracted from the RGB channels of the high dynamic range image according to the lighting information of the high dynamic range image, and the brightness value of each pixel is calculated.

6. The intelligent control method for building facade floodlighting according to claim 1, characterized in that: In step S1, the building facade floodlighting system is turned on at 18:00 in the afternoon; In step S2, if X obtained by the initial calculation is less than 1.2, the building facade floodlighting system is turned off; if X obtained by the initial calculation is greater than or equal to 1.2, the building facade floodlighting system remains on, and step S3 is executed; The building facade floodlighting system is turned off for a period of time and then turned on again, and the above process is repeated; each time the building facade floodlighting system is turned on, the brightness of the building facade floodlighting system is the same initial brightness.

7. The intelligent control method for building facade floodlighting according to claim 1, characterized in that: Starting from the first execution of step S3, record the average brightness value of the background area calculated each time. After midnight, after each calculation of the average brightness value of the background area, find the maximum average brightness value of the background area and calculate the ratio of the maximum average brightness value to the last calculated average brightness value. When the ratio is greater than or equal to 5, turn off the building facade floodlighting system.

8. The intelligent control method for building facade floodlighting according to any one of claims 1 to 7, characterized in that: In step S2, a low dynamic range image of the building facade is acquired by shooting from above.

9. A system for use in the method according to any one of claims 1 to 8, characterized in that: include: Building facade floodlighting system, used for floodlighting of building facades; An image acquisition mechanism, configured to acquire a low dynamic range image of the building facade, wherein the low dynamic range image includes the entire building facade; Processing organizations that carry out the following processes: Convert low dynamic range images to high dynamic range images; Determine a building facade area in the high dynamic range image, and an area surrounding the building facade area as a background area; Calculate the brightness value of each pixel in the building facade area and the background area, and calculate the average brightness value of the building facade area and the background area; Calculate the ratio X of the average brightness value of the building facade area and the background area; When X<3.0, the building facade floodlighting system is controlled to increase the brightness so that 3.0≤X≤5.0; when 3.0≤X≤5.0, the brightness of the building facade floodlighting system remains unchanged; When 5.0<X, control the building facade floodlighting system to reduce the brightness so that 3.0≤X≤5.0; Perform glare analysis on the building facade area. When the glare of a certain pixel exceeds the threshold, the brightness of the corresponding lighting is lowered.

10. The system according to claim 9, wherein: It also includes a crowd flow collection mechanism for collecting crowd flow Y in the floodlit viewing area of ​​the building facade; The processing mechanism also performs the following processes: When the Y value is less than S / 10, the brightness of the building facade floodlighting system will be reduced. When the Y value ∈ [S / 10, S / 5), the brightness of the building facade floodlighting system will remain unchanged. When the Y value is greater than or equal to S / 5, the brightness of the building facade floodlighting system will be increased. S is the area of ​​the building facade floodlighting viewing area. When adjusting the brightness according to the flow of people, ensure that 3.0≤X≤5.0.

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