CN111712021A - A kind of art museum lighting intelligent adjustment method, device and system - Google Patents

Abstract

The invention relates to an intelligent lighting adjustment device, method and system for an art gallery. The specific method includes: collecting the data of the size, position and content of a painting; analyzing the data of the size, position and content of the painting to obtain the illumination angle and beam angle of the lamp; Adjust the illumination angle and beam angle of the lamps; extract the eigenvalues of the painting images, compare the eigenvalue templates in the database, and determine the painting category; call the preset lighting mode parameters corresponding to the categories to perform input adjustment; accurately adjust the illumination angle and beam angle of the lamps . The painting identification and lighting adjustment method proposed in the application of the present invention can effectively realize lighting control, and has the beneficial effects of providing a good visual environment without damaging the painting and reducing complicated manual labor.

Description

A kind of art museum lighting intelligent adjustment method, device and system

technical field

The invention belongs to the technical field of lighting adjustment, and in particular relates to a method, device and system for intelligent adjustment of lighting in an art gallery.

Background technique

In art museums, the requirements for the light environment of works are extremely important. It is necessary to meet the good visual environment required by the audience, and to avoid the damage of light radiation to the exhibits, which makes the adjustment and control of lighting extremely cumbersome. At the same time, the museum exhibits more frequently, and different lighting needs to be adjusted for different exhibits.

The existing lighting adjustment control system mainly focuses on two aspects, one is only lighting adjustment, and the other is only able to control the position of the lamp body up, down, left and right. These two methods are relatively simple for the lighting control of art museums, and the adjustment methods It is more complicated and wastes manpower and material resources.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a method, device and system for intelligent adjustment of art gallery lights to solve the above technical problems.

In order to achieve the above object, the present invention adopts the following technical solutions:

In the first aspect, an embodiment of the present application provides a method for intelligently adjusting lighting in an art gallery, including:

Collect data on the size, location and content of paintings;

Analyzing the data of the size, position and content of the painting to obtain the illumination angle and beam angle of the lamp;

Adjust the illumination angle and beam angle of the lamps;

Extract the feature value of the painting image, compare the feature value template in the database, and determine the category of the painting;

Call the preset lighting mode parameters corresponding to the category to perform input adjustment;

Precisely adjust the illumination angle and beam angle of the lamps.

Preferably, the method for collecting the data of the size, position and content of the painting includes:

Data that identifies at least one painting at a time;

encoding the data;

transmitting the data to the lamp control module corresponding to each picture respectively;

The lamp control module performs decoding.

Preferably, the method for deriving the illumination angle and beam angle of the lamp by analyzing the data of the size, position and content of the painting includes:

According to the data of the size, position and content of the painting, determine the edge of the image, and find the extreme points of the upper, lower, left, and right edges;

Make horizontal and vertical lines for the boundary positioning of graphics;

Calculate the image size according to the boundary positioning, where x is the size in the horizontal direction, and y is the size in the vertical direction;

Determine the beam angle size of the luminaire and the adjustment angle of the luminaire.

Preferably, the determination of the beam angle of the lamp and the adjustment angle of the lamp is based on the following formula;

In the formula, θ represents the size of the beam angle; α is the adjustment angle of the lamp; l is the distance from the lamp to the wall, in m; h is the height of the lamp to the ground, in m; y is the vertical dimension of the painting, in m .

Preferably, the method of determining the edge of the image and finding the extreme points of the upper, lower, left, and right edges according to the data of the size, position and content of the painting includes:

The color image is processed in grayscale and segmented by Lab color space;

Edge detection by Sobel operator;

Preferably, after collecting the data of the size, position and content of the painting, the method further includes the steps:

Extract image features of paintings;

Summarize the types of paintings, correspondingly divided into paintings that are particularly sensitive to light, paintings that are sensitive to light, and paintings that are not sensitive to light;

Make a binary matrix feature template as a database;

Through feature extraction of images, the types of paintings displayed in the museum are summarized, and a binary matrix feature template is used as a database, which is divided into three categories: particularly sensitive to light, sensitive to light, and insensitive to light; after identifying the paintings through the camera , extract the feature value of the target painting and compare it with the database to determine the category of the target painting;

Preferably, the method for extracting the feature value of the painting image, comparing the feature value template in the database, and determining the category of the painting includes:

Perform image subtraction with the feature template matrix M of the painting to be identified and the feature template matrix N in the database, record the value X of the difference modulo and then summed with each feature template pixel subtraction; obtain the formula of the value X Yes:

Compare X with the set threshold Y, if X≤Y, the recognition result is the painting of the feature template, and the color temperature value of the corresponding painting type is called;

If X>Y, then re-extract the eigenvalue matrix M to obtain a new matrix template M1 and then perform formula calculation with the eigenvalue matrix N in the database to obtain X1;

X1 and Y are compared again, and the comparison is carried out 100 times. If X>Y is still established, then transform the feature template matrix N _n in another database; what type.

In a second aspect, an embodiment of the present application provides an intelligent lighting adjustment device for an art gallery, and the intelligent lighting adjustment device for an art gallery includes:

The acquisition unit is used to collect the data of the size, position and content of the painting; it is also used to collect the illuminance data, color temperature data, and ambient brightness data;

The control unit is used to analyze the data of the size, position and content to obtain the illumination angle and beam angle of the lamp; it is also used to extract the feature value of the painting image, compare the feature value template in the database, and determine the painting category; extract the painting image features; Summarize the types of paintings, correspondingly divided into paintings that are particularly sensitive to light, paintings that are sensitive to light, and paintings that are not sensitive to light; make a binary matrix feature template as a database;

The intelligent lighting adjustment unit is used to adjust the illumination angle and beam angle of the lamps; it is also used to call the preset lighting mode parameters corresponding to the categories for input adjustment; it is also used to accurately adjust the illumination angle and beam angle of the lamps, and further adjust the lighting accurately. The illuminance and color temperature value can be adjusted to adjust the illuminance of the work surface (painting) to meet the standard range corresponding to the painting.

Preferably, the control unit includes: a painting recognition module, a data processing module, and an image processing module;

The painting recognition module is used to recognize the data of at least one painting at a time;

The data processing module is used to analyze the data of the size, position and content to obtain the illumination angle and beam angle of the lamp; encode the data; transmit the data to the lamp control module corresponding to each picture; Describe the data of the size, position and content of the painting, determine the edge of the image, and find the extreme points of the upper, lower, left, and right edges; perform grayscale processing on the color image, and use the Lab color space for segmentation; use the Sobel operator for edge detection; Boundary positioning; calculate the image size according to the boundary positioning, x is the horizontal dimension, y is the vertical dimension; determine the beam angle size of the lamp and the adjustment angle of the lamp;

The image processing module is used to extract the feature value of the painting image, compare the illumination and color temperature standard values of the painting, and determine the painting category; it is also used to determine the image edge by using the edge detection Sobel operator according to the obtained image information, and find the extreme points of the upper, lower, left, and right edges. Make horizontal and vertical lines for the boundary positioning of graphics;

The intelligent lighting adjustment unit includes: an illuminance module, a color temperature module, an ambient brightness module, and an adjustment module;

The illuminance module is used to judge whether the average illuminance of the painting is within the standard range through the collected illuminance value of the light environment of the painting;

The color temperature module is used to judge whether the color temperature is within the standard range according to the color temperature of the light environment of the collected paintings;

The environmental brightness module is used to judge whether the environmental contrast is within the standard range through the ratio of the brightness value of the painting and the brightness value of the background through the collected paintings and the surrounding light environment brightness;

The adjustment module is used to adjust the illumination angle and beam angle of the lamps; it is also used to call the preset lighting mode parameters corresponding to the categories for input adjustment; it is also used to accurately adjust the illumination angle and beam angle of the lamps, and further accurately adjust the illuminance of the lamps and color temperature value, so as to adjust the illumination of the work surface (painting) to meet the standard range corresponding to the painting;

The acquisition unit further includes an illumination data acquisition module, a color temperature data acquisition module, and an ambient brightness data acquisition module;

The illuminance data acquisition module is used to collect the illuminance value of the light environment of the painting;

The color temperature data acquisition module is used to collect the color temperature value of the light environment of the painting;

The environment brightness data acquisition module is used to collect the brightness value of the painting and the surrounding light environment.

In the third aspect, an embodiment of the present application further provides an art museum lighting intelligent adjustment system, the art museum lighting intelligent adjustment system is used to implement any one of the art museum lighting intelligent adjustment methods of the present application.

Fourth aspect An embodiment of the present application further provides a storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements any of the art museum lighting intelligent adjustment methods of the present application .

The existing lighting adjustment control system mainly focuses on two aspects, one is only lighting adjustment, and the other is only able to control the position of the lamp body up, down, left and right. These two methods are relatively simple for the lighting control of art museums, and the adjustment methods It is more complicated and wastes manpower and material resources. The application of the present invention realizes the intelligent adjustment of the lighting of the art gallery by combining the painting recognition system, the control system and the intelligent lighting adjustment system, and improves the existing lighting adjustment method. Through painting identification and lighting intelligent adjustment, the entire lighting system is controlled in an all-round way; the painting identification and lighting adjustment method proposed in the present application can effectively realize lighting control, and has the advantages of providing a good visual environment without damaging the painting, and at the same time. The beneficial effect of reducing complicated manual labor.

The application of the present invention collects the size, position and content of the painting based on image processing technology, and obtains the size of the painting from the image processing, so as to calculate the lighting position, and then change the angle of the lamp. The paintings are classified, and then the color temperature value of the paintings under the standard is judged. The data is collected by the illumination module, the color temperature module and the ambient brightness module, and the lighting parameters are feedback adjusted, so it has the beneficial effect of ensuring a good lighting effect without causing damage to the painting. The design of the present invention greatly saves the workload of exhibitors, has the advantages of convenient and rapid adjustment of lights, saves time for exhibiting, can be applied to various environments, is easy to use and maintain, greatly improves the visual experience of visitors, and greatly improves the safety of electricity consumption in the art museum. beneficial effect.

Description of drawings

1 is a flowchart of a method for intelligently adjusting lighting in an art gallery according to an embodiment of the present invention;

2 is a flowchart of a method for collecting data of the size, position and content of a painting according to an embodiment of the present application;

3 is a flowchart of the steps of analyzing the data of the size, position and content of the painting to obtain the illumination angle and beam angle of the lamp according to an embodiment of the present application;

4 is a flowchart of a method for determining the edge of an image and finding the poles of the upper, lower, left, and right edges according to the data of the size, position and content of the painting according to an embodiment of the present invention;

FIG. 5 is a flow chart including steps after collecting the data of the size, position and content of the painting according to an embodiment of the present application;

6 is a table of standard values of illuminance and color temperature of a painting according to an embodiment of the present invention;

7 is a flowchart of a method for extracting feature values of a painting image, comparing feature value templates in a database, and determining a painting category according to an embodiment of the present application;

8 is a schematic diagram of an intelligent lighting adjustment device for an art gallery according to an embodiment of the present invention;

FIG. 9 is a schematic diagram of an apparatus for intelligently adjusting lighting in an art gallery according to another embodiment of the present invention.

Detailed ways

In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features of the embodiments may be combined with each other unless there is conflict. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention.

Please refer to FIG. 1. FIG. 1 is a flowchart of a method for intelligently adjusting lighting in an art museum according to an embodiment of the present invention; the method for intelligently adjusting lighting in an art museum; the method includes:

S110. Collect the data of the size, position and content of the painting;

S120. Analyze the data of the size, position and content of the painting to obtain the illumination angle and beam angle of the lamp;

S130. Adjust the illumination angle and beam angle of the lamps;

Specifically, the illumination angle and beam angle of the lamp are the illumination angle and beam angle of the lamp obtained according to S120;

S140. Extract the feature value of the painting image, compare the feature value template in the database, and determine the painting category;

Specifically, according to the content of the collected painting, extract the feature value of the painting image, compare the feature value template in the database, and determine the painting category;

S150. Invoke the preset lighting mode parameters corresponding to the category to perform input adjustment;

In some embodiments, the preset lighting mode parameters corresponding to the categories are called to adjust the lamps, for example, to adjust the illuminance and color temperature of the feedback input lights;

S160. Precisely adjust the illumination angle and beam angle of lamps.

Specifically, through the steps of S160, the illumination angle and beam angle of the lamps are accurately adjusted, and the illumination and color temperature values of the lamps are further adjusted accurately, so as to adjust the illumination of the work surface (painting) to meet the standard range corresponding to the painting;

In some embodiments, feedback adjustment is performed according to the data of the color temperature acquisition module, the ambient brightness module and the illuminance acquisition module to accurately adjust the illumination angle and beam angle of the lamp, as well as the illumination and color temperature parameters of the light.

In some embodiments, the collecting data of the content of the painting further includes collecting the illuminance value of the light environment of the painting; collecting the color temperature value of the light environment of the painting; and collecting the brightness value of the painting and the surrounding light environment. Judging whether the average illuminance of the painting is within the standard range through the collected light environment illuminance value of the painting; judge whether the color temperature is within the standard range through the collected light environment color temperature of the painting;

In some embodiments, the TCS3414 color sensor chip is used to collect the color temperature of the light environment, and the color temperature value of the light environment is obtained; the collected color value is converted into a digital signal through the internal analog-to-digital conversion of the chip, and the tristimulus value of each channel is obtained by using the formula. The x and y color temperatures are converted to obtain the detected color temperature value of the light environment: the formula is:

T=-437n ³ +360n ² -6861n+5514.31

n=(x-0.3320)/(y-0.1858)

In the formula, T represents: the obtained light environment color temperature value; Substitute the following formula n into the above formula to calculate and obtain T; n represents: the conversion process value of the conversion process; x represents: the color coordinate value (the color coordinate value of common sense) ); y represents: color coordinate value (color coordinate value of common sense);

According to the brightness of the collected paintings and the surrounding light environment, and through the ratio of the brightness value of the painting and the brightness value of the background, it is judged whether the environmental contrast is within the standard range; the illumination angle and beam angle of the lamps are adjusted by the adjustment module; it is also used to accurately adjust the lamps and lanterns Irradiation angle and beam angle, further accurately adjust the illuminance and color temperature value of the light, so as to adjust the illuminance of the work surface (painting) to meet the standard range corresponding to the painting.

The art museum lighting intelligent adjustment method proposed in the application of the present invention can effectively realize the intelligent lighting control, can provide a more excellent visual environment, does not damage the paintings, greatly reduces the labor burden caused by manual lighting adjustment, and greatly improves the lighting adjustment. Beneficial effects of precision.

Please refer to FIG. 2. FIG. 2 is a flowchart of a method for collecting data of the size, position and content of a painting according to an embodiment of the present application; the method includes:

S210. Identify the data of at least one painting at a time;

Specifically, the data of at least one painting can be identified at a time through the image acquisition device;

S220. Encode the data;

S230. Transmit the data to the lighting control module corresponding to each picture respectively;

S240. The lighting control module performs decoding.

Specifically, the image acquisition device includes a camera and a camera; in some embodiments, three pictures can be identified by one camera, and the data of the three pictures can be transmitted to the three pictures corresponding to the three pictures through wireless transmission respectively. The central processing module at the end of the luminaire. For example, during the image acquisition process, the camera sequentially collects the paintings P1, P2, and P3 that need to be illuminated from left to right, and the three different sets of data collected are assigned different identification codes for transmission. The paintings P1, P2, and P3 The corresponding lamps L1, L2, L3 can only decode the unique corresponding identification code. The method for intelligent adjustment of art museum lighting has the beneficial effects of ensuring the accuracy of data transmission, and has the beneficial effects of reducing the load load of the art museum lighting intelligent adjustment device and system, speeding up data interaction, and improving work efficiency.

Please refer to FIG. 3. FIG. 3 is a flowchart of the steps of analyzing the size, position and content of the painting to obtain the illumination angle and beam angle of the lamp according to an embodiment of the present application; the method includes:

S310. According to the data of the size, position and content of the painting, determine the edge of the image, and find the extreme points of the upper, lower, left, and right edges;

S320. Make horizontal lines and vertical lines to position the boundaries of graphics;

S330. Calculate the image size according to the boundary positioning, where x is the size in the horizontal direction, and y is the size in the vertical direction;

S340. Determine the beam angle of the lamp and the adjustment angle of the lamp.

The method for determining the beam angle of the lamp and the adjustment angle of the lamp is based on the following formulas (1) and (2);

In the formula, θ represents the size of the beam angle; α is the adjustment angle of the lamp; l is the distance from the lamp to the wall, in m; h is the height of the lamp to the ground, in m; y is the vertical dimension of the painting, in m .

In some embodiments, the height of the light fixture is equal to the height of the uppermost edge of the painting.

Through this method, it has the beneficial effect of ensuring that the art museum lighting intelligent adjustment device and system have highly intelligent characteristics, and has the real working environment that makes the art museum lighting intelligent adjustment device and system respond more timely and closer to the painting, and enhances the vision of visitors. felt beneficial effects.

Please refer to FIG. 4. FIG. 4 is a flowchart of a method for determining the edge of an image and finding the poles of the upper, lower, left, and right edges according to the data of the size, position and content of the painting according to an embodiment of the present invention; the method includes:

S410. Perform grayscale processing on the color image and use the Lab color space for segmentation;

S420. Perform edge detection through the Sobel operator.

Specifically, the Sobel operator mainly weights the influence of the position of the pixel, which can reduce the blurring degree of the edge and provide more accurate edge direction information; the operator contains two sets of 3*3 matrices, one is horizontal Matrix, one group is a vertical matrix, they are convolved with the image respectively, and then the approximation of the horizontal luminance difference and the approximation of the vertical luminance difference can be obtained respectively, and an appropriate threshold is selected to determine whether the gray value of the M pixel is greater than or equal to the threshold. is the image edge point. The image display results are calculated as formula (3), formula (4) and formula (5):

In the formula, I is the original image; Sx and Sy represent the horizontal and vertical edge detection images respectively; S is the final display result.

Through this method, it has the beneficial effect of ensuring that the art museum lighting intelligent adjustment device and system have highly intelligent characteristics, and has the real working environment that the response of the art museum lighting intelligent adjustment device and system is more timely and close to the painting, and the visitors are improved. Beneficial effects of visual perception.

Please refer to FIG. 5. FIG. 5 is a flowchart of steps after collecting the data of the size, position and content of the painting according to an embodiment of the present application; the steps include:

S510. Extract image features of paintings;

S520. Summarize the types of paintings, correspondingly divided into paintings that are particularly sensitive to light, paintings that are sensitive to light, and paintings that are not sensitive to light;

S530. Make a binary matrix feature template as a database.

Through the feature extraction of images, the types of paintings displayed in the museum are summarized, and a binary matrix feature template is used as a database, which is divided into three categories: particularly sensitive to light, sensitive to light and insensitive to light; the binary matrix , which is used to convert pixel values of 0-255 into pixel values with only 0 and 1. After identifying the painting through the camera, extract the feature value of the target painting and compare it with the database to determine the category of the target painting. Through the above steps, a binary matrix feature template can be made as a database. Through this method, it has the beneficial effect of ensuring that the art museum lighting intelligent adjustment device and system has the ability to respond quickly to changes in the environment where the painting is located, and the use of the database makes the device and system run more smoothly, thereby improving the visual experience of visitors. .

Please refer to FIG. 6 . FIG. 6 is a table of standard values of illuminance and color temperature for paintings according to an embodiment of the present invention; the table is the standard values of parameters for preset lighting modes of different types of paintings; the standard values of the parameters are shown in FIG. 6 . ;By extracting the feature value of the painting image, comparing the feature value template database, after determining the painting category, call the standard value of illuminance and color temperature of the corresponding category.

Please refer to FIG. 7 . FIG. 7 is a flowchart of a method for extracting feature values of a painting image according to an embodiment of the present invention, comparing feature value templates in a database, and determining a painting category; the method includes:

S710. Perform image subtraction with the feature template matrix M of the painting to be identified and the feature template matrix N in the database, and record the value X of the difference modulo subtracted from each feature template pixel and then summed; the formula is as follows:

S720. Compare X with the set threshold Y, if X≤Y, then the identification result is the painting of the feature template, and the color temperature value of the corresponding painting type is called;

S730. If X>Y, then re-extract the eigenvalue matrix M to obtain a new matrix template M1 and then perform formula calculation with the eigentemplate matrix N in the database to obtain X1;

S740.X1 is compared with Y again, and the comparison is carried out 100 times. If X>Y is still established, then transform the feature template matrix N _n in another database; if no difference smaller than the set threshold is found, it cannot be identified. What type of painting is it.

In some embodiments, X1 and Y are compared again, and the comparison is performed 100 times. If X>Y is still established, then the feature template matrix N _n in another database is transformed; in this way, the cycle is at most 3000 times; if the ratio is not found, set If the threshold is small, it is impossible to identify what type the painting belongs to.

In some embodiments, the method for extracting the feature values of the painting images, comparing the feature value templates in the database, and determining the painting category is to determine the painting category by comparing the standard values of the illuminance and color temperature of the painting.

The application of the present invention realizes the intelligent adjustment of lighting in art museums by combining painting recognition, image processing, data processing and intelligent lighting adjustment, which can provide a good visual environment without damaging the paintings, and at the same time reduce complicated manual labor. beneficial effect.

Please refer to FIG. 8. FIG. 8 is a schematic diagram of an art gallery lighting intelligent adjustment device according to an embodiment of the present application; the lighting intelligent adjustment device 2 includes:

The collection unit 3 is used to collect the data of the size, position and content of the painting; also used to collect illumination data, color temperature data, and ambient brightness data;

The control unit 4 is used to analyze the data of the size, position and content to obtain the illumination angle and beam angle of the lamp; it is also used to extract the feature value of the painting image, compare the feature value template in the database, and determine the painting category; extract the painting image feature ; Summarize the types of paintings, correspondingly divided into paintings that are particularly sensitive to light, paintings that are sensitive to light, and paintings that are not sensitive to light; make a binary matrix feature template as a database;

In some embodiments, the control unit 4 is also used to identify the size, position and content of the obtained painting; it is also used to process the data of the size, position and content of the painting from the acquisition unit; it is also used to process the illuminance data, color temperature data, Ambient brightness data;

The intelligent lighting adjustment unit 5 is used to adjust the illumination angle and beam angle of the lamps; it is also used to call the preset lighting mode parameters corresponding to the categories to perform input adjustment; it is also used to accurately adjust the illumination angle and beam angle of the lamps, and further accurately adjust The illuminance and color temperature value of the light, so as to adjust the illuminance of the work surface (painting) to meet the standard range corresponding to the painting.

In some embodiments, the intelligent lighting adjustment unit 5 further precisely adjusts the illuminance and color temperature values of the lighting by invoking the preset lighting mode parameters corresponding to the categories.

Please refer to FIG. 9. FIG. 9 is a schematic diagram of an art gallery lighting intelligent adjustment device according to another embodiment of the present application; the device includes, the control unit 11 includes: a painting recognition module 12, a data processing module 13, image processing module 14;

The painting identification module 12 is used to identify the data of at least one painting at a time;

Specifically, the image capturing device 50 performs data recognition for at least one painting at a time on the size, position and content of the captured painting;

The data processing module 13 is used to analyze the data of the size, position and content to obtain the illumination angle and beam angle of the lamp; encode the data; transmit the data to the lamp control module corresponding to each picture respectively; The data of the described painting size, position and content, determine the edge of the image, find the extreme points of the upper, lower, left and right edges; carry out grayscale processing to the color image, adopt Lab color space segmentation; carry out edge detection by Sobel operator; make horizontal lines and vertical lines to carry out The boundary positioning of the graphics; the image size is calculated according to the boundary positioning, x is the horizontal direction size, y is the vertical direction size; the beam angle size of the lamp and the adjustment angle of the lamp are determined.

Specifically, the data processing module 13 analyzes the data of the size, position and content of the painting through data processing and calculation; it is also used to process illuminance data, color temperature data, and ambient brightness data; call preset lighting mode parameters to compare , used to realize feedback adjustment and make lighting parameters more accurate;

The image processing module 14 is used to extract the characteristic value of the painting image, compare the standard value of the illuminance and the color temperature of the painting, and determine the classification of the painting; also use the edge detection Sobel operator to determine the edge of the image according to the obtained image information, and find the upper, lower, left, and right edges. The poles are used as horizontal and vertical lines to locate the boundary of the graph;

The intelligent lighting adjustment unit 15 includes: an illumination module 16, a color temperature module 17, an ambient brightness module 18, and an adjustment module 19;

The illuminance module 16 is used to judge whether the average illuminance of the painting is within the standard range through the collected illuminance value of the light environment of the painting;

The color temperature module 17 is used to judge whether the color temperature is within the standard range according to the color temperature of the light environment of the collected paintings;

The ambient brightness module 18 is used to judge whether the ambient contrast is within the standard range through the ratio of the brightness value of the painting and the brightness value of the background through the collected paintings and the surrounding light environment brightness; for example, less than or equal to 5:1;

The adjustment module 19 is used to adjust the illumination angle and beam angle of the lamp; it is also used to call the preset lighting mode parameters corresponding to the category to perform input adjustment; it is also used to accurately adjust the illumination angle and beam angle of the lamp, and further accurately adjust the lighting Illuminance and color temperature values, so as to adjust the illuminance of the work surface (painting) to meet the standard range corresponding to the painting.

Specifically, in some embodiments, the illuminance module 16 is used to collect the illuminance value of the light environment around the painting; for example, the BH1750 chip is used to collect the illuminance of the light environment to obtain the illuminance value of the light environment.

The color temperature module 17 is used to collect the color temperature of the light environment around the painting, and is connected to the scene calling module. The collected data is fed back to the image processing module through AD conversion of the scene calling module for fine adjustment of the light color temperature. For example, it includes the steps of: using the TCS3414 color sensor chip to collect the color temperature of the light environment to obtain the color temperature value of the light environment; the collected color values are output digital signals through analog-to-digital conversion inside the chip, and the tristimulus values of each channel are obtained by using the formula, and x , y color temperature is converted, and the detected light environment color temperature value is obtained:

T=-437n ³ +360n ² -6861n+5514.31

n=(x-0.3320)/(y-0.1858)

The environmental brightness module 18 is used to collect the brightness of the light environment around the painting, and is connected to the scene calling module, and the collected data is fed back to the image processing module through AD conversion of the scene calling module for fine adjustment of the light brightness. For example, the TCS3404 photosensitive unit is used to separately collect the content of the painting and the brightness of the surrounding light environment, and compare the two to determine whether they meet the requirements;

The collection unit 30 is used to collect data of the size, position and content of the painting; it is also used to collect illumination data, color temperature data, and ambient brightness data; the collection unit 30 also includes an illumination data collection module 31, a color temperature data collection module 32, Ambient brightness data acquisition module 33;

The illuminance data collection module 31 is used to collect the illuminance value of the light environment of the painting;

The color temperature data collection module 32 is used to collect the color temperature value of the light environment of the painting;

The environment brightness data collection module 33 is used to collect the brightness value of the painting and the surrounding light environment.

Specifically, the acquisition unit 30 is connected to the acquisition device 50 , and the acquisition device 50 includes a camera; 14 is compared with the preset lighting mode parameters corresponding to the categories called to achieve feedback input, and the lighting intelligent adjustment unit 15 can accurately adjust the illumination angle and beam angle of the lamps, and accurately adjust the lighting.

After the data processing module 13 of the control unit 11 analyzes and processes the size data obtained by the painting recognition module 12 of the control unit 11, the adjustment module 19 adjusts the illumination angle and beam angle of the lamps; the image processing module 14 calls the preset lighting Compared with the mode parameters, the feedback input is realized, and the illumination angle and beam angle of the lamps are further adjusted more accurately according to the lighting parameters.

The control unit 11 compares the ambient brightness value collected by the color temperature data collection module 32 with the ambient brightness value collected by the ambient brightness data collection module 33 and the preset standard lighting mode according to the illuminance of the surrounding environment collected by the illuminance data collection module 31 of the collection unit 30, That is, after recognizing the category of the painting, the control unit 11 immediately calls the basic lighting parameters that conform to the painting, and then according to the values fed back by the illuminance module 16, the color temperature module 17 and the ambient brightness module 18, the adjustment module of the intelligent lighting adjustment unit performs lighting localization. The parameters are fine-tuned to make the painting show better visual effects while meeting the range requirements in the table in Figure 6.

The embodiment of the present application further provides an art museum lighting intelligent adjustment system, and the art museum lighting intelligent adjustment system is used to execute the art museum lighting intelligent adjustment method described in any embodiment of the present application.

Embodiments of the present application further provide an electronic device, including a processor and a machine-readable storage medium, where the machine-readable storage medium stores machine-executable instructions that can be executed by the processor, and when called by the processor and When executed, the processor can execute the instructions to prompt the processor to: implement the method for intelligently adjusting the lighting in an art gallery according to any embodiment of the present application.

An embodiment of the present application further provides a storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements any one of the art museum lighting intelligent adjustment methods of the present application.

Matters not addressed in the present invention are known in the art.

The integrated components/modules/units of the system/computer device, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, and the like. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory) ), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable media Electric carrier signals and telecommunication signals are not included.

In the several specific embodiments provided by the present invention, it should be understood that the disclosed system and method may be implemented in other manners. For example, the system implementations described above are only illustrative. For example, the division of the components is only a logical function division, and there may be other division manners in actual implementation.

In addition, each functional module/component in each embodiment of the present invention may be integrated in the same processing module/component, or each module/component may exist physically alone, or two or more modules/components may be integrated in the same processing module/component. in the module/component. The above-mentioned integrated modules/components may be implemented in the form of hardware, or may be implemented in the form of hardware plus software function modules/components.

For those skilled in the art, it is obvious that the embodiments of the present invention are not limited to the details of the above-mentioned exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential features of the embodiments of the present invention example. Accordingly, the embodiments are to be considered in all respects as exemplary and not restrictive, the scope of the embodiments of the present invention being defined by the appended claims rather than the foregoing description, and are therefore intended to fall within the scope of All changes within the meaning and scope of equivalents of the claims are included in the embodiments of the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim. Furthermore, it is clear that the word "comprising" does not exclude other units or steps and the singular does not exclude the plural. Multiple units, modules or means recited in the system, device or terminal claims can also be implemented by the same unit, module or means by software or hardware. The terms first, second, etc. are used to denote names and do not denote any particular order.

The above-mentioned embodiments only represent several embodiments of the present invention, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can also be made, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the appended claims.

Claims (11)

1. An intelligent adjusting method for light of an art gallery is characterized by comprising the following steps:

collecting data of the size, the position and the content of the painting;

analyzing the data of the drawing size, the drawing position and the drawing content to obtain a lamp irradiation angle and a beam angle;

adjusting the irradiation angle and the beam angle of the lamp;

extracting the characteristic value of the painting image, comparing the characteristic value templates in the database, and determining the painting category;

calling preset lighting mode parameters corresponding to the categories to perform input adjustment;

the lamp irradiation angle and the beam angle are accurately adjusted.

2. The intelligent art gallery lighting adjustment method of claim 1, wherein the method for collecting data on the size, position and content of the painting comprises:

identifying data for at least one picture at a time;

encoding the data;

respectively transmitting the data to a lamp control module corresponding to each picture;

the lamp control module decodes.

3. The intelligent art gallery lighting adjustment method of claim 2, wherein the method for analyzing the drawing size, position and content data to obtain the lamp irradiation angle and the beam angle includes:

determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge;

making horizontal lines and vertical lines to position the boundary of the graph;

calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction;

and determining the size of the beam angle of the lamp and the lamp adjusting angle.

4. The intelligent art gallery lighting adjustment method of claim 3, wherein the beam angle of the lamp and the lamp adjustment angle are determined according to the following formula;

in the formula, theta represents the size of a beam angle; alpha is the angle of lamp adjustment; l is the distance between the lamp and the wall, and the unit is m; h is the height from the lamp to the ground, and the unit is m; y is the vertical dimension of the drawing in m.

5. The intelligent art gallery lighting adjustment method of claim 3, wherein the method for determining the edges of the image and finding the poles of the upper, lower, left and right edges according to the drawing size, position and content data includes:

carrying out gray level processing on the color image, and adopting Lab color space segmentation;

edge detection is performed by a Sobel operator.

6. The intelligent art gallery lighting adjustment method of claim 1, wherein after collecting the data of the size, position and content of the painting, the method further comprises the following steps:

extracting the characteristics of the painting image;

summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light;

and (5) making a binary matrix characteristic template as a database.

7. The intelligent art gallery lighting adjustment method of any one of claims 1 to 6, wherein the method for extracting the feature values of the painting images, comparing the feature value templates in the database and determining the painting types comprises:

carrying out image subtraction on a feature template matrix M of the painting to be identified and a feature template matrix N in a database, and recording a difference value subtracted from each feature template pixel, and carrying out modulo re-summation on a value X; the formula for obtaining the value X is:

comparing the X with a set threshold value Y, if the X is less than or equal to Y, identifying the picture of the characteristic template as a result, and calling a color temperature value corresponding to the picture type;

if X is greater than Y, re-extracting the characteristic value matrix M to obtain a new matrix template M1, and then performing formula calculation with a characteristic template matrix N in the database to obtain X1;

comparing X1 with Y for 100 times, if X is>If Y is still true, the feature template matrix N in another database is transformed_n(ii) a If no difference smaller than the set threshold is found, it is not possible to identify what type the drawing belongs to.

8. The utility model provides an art gallery light intelligent regulation device, its characterized in that, art gallery light intelligent regulation device includes:

the acquisition unit is used for acquiring data of the size, the position and the content of the painting; the system is also used for collecting illumination data, color temperature data and environment brightness data;

the control unit is used for analyzing the data of the size, the position and the content to obtain a lamp irradiation angle and a beam angle; the method is also used for extracting the characteristic value of the drawing image, comparing the characteristic value templates in the database and determining the drawing type; extracting the characteristics of the painting image; summarizing the types of the paintings, and correspondingly dividing the paintings into paintings which are particularly sensitive to light, paintings which are sensitive to light and paintings which are not sensitive to light; making a binary matrix characteristic template as a database;

the intelligent lighting adjusting unit is used for adjusting the irradiation angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp, and further accurately adjusting the illumination and the color temperature value of the lamp light.

9. The intelligent art gallery lighting adjustment device of claim 8, wherein the control unit includes: the picture drawing identification module, the data processing module and the image processing module;

the drawing identification module is used for identifying data of at least one drawing at a time;

the data processing module is used for analyzing the data of the size, the position and the content to obtain a lamp irradiation angle and a beam angle; encoding the data; respectively transmitting the data to a lamp control module corresponding to each picture; determining the image edge according to the data of the drawing size, the position and the content, and finding the poles of the upper edge, the lower edge, the left edge and the right edge; carrying out gray level processing on the color image, and adopting Lab color space segmentation; carrying out edge detection through a Sobel operator; making horizontal lines and vertical lines to position the boundary of the graph; calculating the size of the image according to the boundary positioning, wherein x is the size in the horizontal direction, and y is the size in the vertical direction; determining the size of a beam angle of a lamp and a lamp adjusting angle;

the image processing module is used for extracting the characteristic value of the painting image, comparing the standard values of the illumination and the color temperature of the painting and determining the painting category; the image edge is determined by adopting an edge detection Sobel operator according to the obtained image information, and poles of upper, lower, left and right edges are found to be used as horizontal lines and vertical lines for carrying out boundary positioning of the graph;

light intelligent regulation unit includes: the device comprises an illumination module, a color temperature module, an ambient brightness module and an adjusting module;

the illumination module is used for judging whether the average illumination of the painting is within a standard range or not according to the collected light environment illumination value of the painting;

the color temperature module is used for judging whether the color temperature is in a standard range or not through the collected light environment color temperature of the painting;

the environment brightness module is used for judging whether the environment contrast is in a standard range or not according to the collected painting and the ambient light environment brightness and the ratio of the painting brightness value to the background brightness value;

the adjusting module is used for adjusting the irradiation angle and the beam angle of the lamp; the preset lighting mode parameters corresponding to the categories are called for input adjustment; the device is also used for accurately adjusting the irradiation angle and the beam angle of the lamp, and further accurately adjusting the illumination and the color temperature value of the lamp light;

the acquisition unit also comprises an illumination data acquisition module, a color temperature data acquisition module and an environment brightness data acquisition module;

the illumination data acquisition module is used for acquiring a luminous environment illumination value of the picture;

the color temperature data acquisition module is used for acquiring the color temperature value of the light environment of the painting;

and the environment brightness data acquisition module is used for acquiring the light environment brightness values of the painting and the surroundings.

10. An intelligent art gallery light adjusting system, which is used for executing the intelligent art gallery light adjusting method as claimed in any one of claims 1 to 7.

11. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the intelligent art gallery light adjustment method of any one of claims 1-7.

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