An automatic compensation method and system based on RGB LED temperature characteristics

Abstract

The present invention relates to the field of RGB LED automatic compensation technology, specifically to an automatic compensation method and system based on RGB LED temperature characteristics; obtaining solar trajectory data within an adjustment period, constructing a screen area division model to identify the solar trajectory data to obtain illumination boundary data; dividing the shadow area, illumination area and change area according to the illumination boundary data; constructing a first compensation recognition model to identify the shadow area to obtain shadow control data; constructing a second compensation recognition model to identify the illumination area to obtain illumination control data; determining the time point at which the state of the RGB LED unit in the change area changes according to the illumination boundary data, and dividing it into a first state interval and a second state interval; selecting a compensation recognition model according to the actual state of the state interval, and identifying and obtaining control data. The present invention divides the RGB LED screen into regions according to the illumination boundary data, identifies each region to obtain corresponding control data, and realizes accurate control of the RGB LED screen.

Description

Technical Field

[0001] The present invention relates to the technical field of RGB LED automatic compensation, and in particular to an automatic compensation method and system based on RGB LED temperature characteristics. Background Art

[0002] RGB LED is a light-emitting diode composed of three basic colors, including red, green and blue; by precisely controlling the brightness of these three colors, color mixing can be achieved, and it can display rich colors and high-quality images. It is widely used in various large outdoor advertising screens, especially in city squares, commercial centers, stadiums and other places to display dynamic advertisements, shopping mall promotions, and product information.

[0003] As the sun rises in the east and sets in the west, light areas and shadow areas appear periodically on the RGB LED screen, resulting in areas with different temperature distributions on the RGB LED screen; because different colors of RGB LEDs respond differently to temperature, when the ambient temperature changes, their color and brightness may shift, affecting the overall projection effect.

[0004] Therefore, it is necessary to identify the temperature distribution of RGB LED large outdoor advertising screens to ensure the accuracy of RGB LED color and brightness.

[0005] In the process of identifying and adjusting the temperature characteristics of the large RGB LED outdoor advertising screen, if the entire screen is taken as a whole and the temperature characteristic color difference is identified, the different temperature distributions on the screen will be ignored, resulting in insufficient accuracy; if the temperature characteristics are identified for each LED unit, since the RGB LED screen contains more LED units, the data that needs to be monitored and measured is more complex, resulting in a lag in data identification and debugging, which also leads to insufficient accuracy.

[0006] Therefore, an automatic compensation method and system based on RGB LED temperature characteristics are proposed. Summary of the invention

[0007] The purpose of the present invention is to provide an automatic compensation method and system based on RGB LED temperature characteristics; set an adjustment cycle according to the working time of the RGB LED screen, obtain the sun track data within the adjustment cycle; construct a screen area division model to identify the sun track data, and obtain the illumination boundary data on the RGB LED screen; divide the shadow area, the illumination area and the change area according to the illumination boundary data; construct a first compensation recognition model to identify the shadow state parameters of the shadow area, obtain the shadow control data, construct a second compensation recognition model to identify the illumination state parameters of the illumination area, obtain the illumination control data, and identify the RGB LED unit in the change area; determine the time point when the RGB LED unit changes state according to the illumination boundary data, and divide the adjustment cycle of the RGB LED unit into a first state interval and a second state interval; select the compensation recognition model for the actual state of the state interval, and identify the control data. The present invention divides the RGB LED screen into regions according to the illumination boundary data, identifies each region to obtain the corresponding control data, and realizes accurate control of the RGB LED screen.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] An automatic compensation method based on RGB LED temperature characteristics, comprising:

[0010] S10. Setting an adjustment period according to the working time of the RGB LED screen; obtaining the sun trajectory data within the adjustment period, including azimuth data and altitude data;

[0011] S20. Construct a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; divide the illumination boundary data into shadow areas, illumination areas and change areas; the change area is the mobile coverage area of ​​the illumination boundary data;

[0012] S30. Obtain shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; construct a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and control the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit;

[0013] S40. Obtaining lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; constructing a second compensation recognition model to identify the lighting state parameters, obtain lighting control data, and control the lighting area;

[0014] S50. Identify the RGB LED unit in the changed area; determine the time point when the state of the RGB LED unit changes according to the illumination boundary data, and divide the adjustment period of the RGB LED unit into a first state interval and a second state interval; select a compensation recognition model according to the actual states of the first state interval and the second state interval, identify and obtain the first change control data and the second change control data, and control the changed area.

[0015] The screen area division model includes an initial boundary recognition layer, a boundary error recognition layer, a boundary motion recognition layer and a screen area division layer;

[0016] The initial boundary recognition layer recognizes the sun trajectory data at the start of the adjustment period to obtain the first boundary data;

[0017] A boundary error recognition layer, which recognizes and obtains the actual boundary data at the start time of the adjustment period, and obtains error data according to the data difference between the first boundary data and the actual boundary data;

[0018] The boundary motion recognition layer identifies the motion trajectory of the first boundary data within the adjustment period according to the solar trajectory data of the adjustment period; calibrates the motion trajectory according to the error data to obtain the illumination boundary data;

[0019] The screen area is divided into layers, and illumination boundary data is obtained. The shadow area, illumination area and change area are obtained according to the illumination boundary data; wherein the shadow area is the area on the screen that is always in the shadow state; the illumination area is the area on the screen that is always in the illumination state; the change area is the area where the state changes, that is, the area where the state changes due to the movement of the first boundary data, including the area where the illumination state changes to the shadow state and the area where the shadow state changes to the illumination state.

[0020] The training process of the initial boundary recognition layer in the screen area division model is as follows:

[0021] Obtaining structural distribution data of the display surface of the RGB LED screen, and constructing a coordinate system according to the structural distribution data; if the structural distribution data is two-dimensional data, constructing a two-dimensional coordinate system; if the structural distribution data is three-dimensional data, constructing a three-dimensional coordinate system;

[0022] Monitor the RGB LED screen and obtain the illumination boundary data in combination with the coordinate system; at the same time, obtain the corresponding sun trajectory data based on the time data of the illumination boundary data;

[0023] The initial boundary recognition layer is obtained by training according to the illumination boundary data and sun trajectory data.

[0024] The training process of the first compensation recognition model is:

[0025] Collecting data on the RGB LED screen in a shadow state to obtain first shadow projection data, first shadow standard data and first shadow temperature data;

[0026] Identify and obtain data similarity between the first shadow projection data and the first shadow standard data as an initial shadow label;

[0027] The RGB LED screen in the shadow state is regulated by the first regulation data to obtain the second shadow projection data; the shadow adjustment label is obtained according to the second shadow projection data and the first shadow standard data; wherein the first regulation data includes the current ratio data and the pulse width regulation data for adjusting each channel of the RGB LED unit;

[0028] Obtain shadow state experimental data according to the first shadow projection data, the first shadow standard data, the first shadow temperature data, the shadow initial label, the shadow adjustment label and the first control data;

[0029] The first compensation recognition model is obtained by training according to the shadow state experimental data.

[0030] The training process of the second compensation recognition model is:

[0031] Collecting data on the large screen in the illumination state; obtaining first illumination projection data, first illumination standard data, first illumination temperature data, first illumination intensity data and first illumination color temperature data;

[0032] Identify and obtain data similarity between the first illumination projection data and the first illumination standard data as an illumination initial label;

[0033] The RGB LED screen in the illumination state is regulated by the second regulation data to obtain the second illumination projection data; and the illumination regulation label is obtained according to the second illumination projection data and the first illumination standard data;

[0034] Obtaining lighting state experimental data according to the first lighting projection data, the first lighting standard data, the first lighting temperature data, the first lighting intensity data, the first lighting color temperature data, the lighting initial label, the lighting adjustment label, and the second control data;

[0035] The second compensation recognition model is obtained by training according to the experimental data of the lighting status.

[0036] The process of determining the first state interval and the second state interval of the RGB LED unit according to the illumination boundary data is as follows:

[0037] According to the coordinate system of the RGB LED screen, obtain the coordinate data of the RGB LED unit;

[0038] Identify boundary data of the coordinate data passing through the RGB LED unit in the illumination boundary data as target boundary data;

[0039] The time when the target boundary data exists is obtained to obtain the target time; the time interval from the start time of the adjustment period to the target time is used as the first state interval; and the time interval from the target time to the end time of the adjustment period is used as the second state interval.

[0040] The process of identifying the compensation identification model selected according to the actual state of the first state interval and the second state interval is as follows:

[0041] If the first state interval is a shadow state and the second state interval is an illumination state; then data is collected and identified for the first state interval according to the first compensation recognition model to obtain first change control data; and data is collected and identified for the second state interval according to the second compensation recognition model to obtain second change control data;

[0042] If the first state interval is an illuminated state and the second state interval is a shadow state, data is collected and identified for the first state interval according to the second compensation recognition model to obtain first change control data; data is collected and identified for the second state interval according to the first compensation recognition model to obtain second change control data.

[0043] An automatic compensation system based on RGB LED temperature characteristics, comprising:

[0044] The data acquisition module sets the adjustment period according to the working time of the RGB LED screen; obtains the sun track data within the adjustment period, including azimuth angle data and altitude angle data;

[0045] The area division module builds a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; the shadow area, illumination area and change area are obtained according to the illumination boundary data; the change area is the mobile coverage area of ​​the illumination boundary data;

[0046] The first control module obtains shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; constructs a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and controls the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit;

[0047] The second control module obtains the lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; constructs a second compensation recognition model to identify the lighting state parameters, obtains lighting control data, and controls the lighting area;

[0048] The third control module identifies the RGB LED unit in the changed area; determines the time point when the state of the RGB LED unit changes according to the illumination boundary data, and divides the adjustment period of the RGB LED unit into a first state interval and a second state interval; selects a compensation recognition model according to the actual states of the first state interval and the second state interval, identifies and obtains the first change control data and the second change control data, and controls the changed area.

[0049] In the area division module, the RGB LED screen is divided into areas by constructing a screen area division model; the screen area division model includes an initial boundary recognition layer, a boundary error recognition layer, a boundary motion recognition layer and a screen area division layer;

[0050] The initial boundary recognition layer recognizes the sun trajectory data at the start of the adjustment period to obtain the first boundary data;

[0051] A boundary error recognition layer, which recognizes and obtains the actual boundary data at the start time of the adjustment period, and obtains error data according to the data difference between the first boundary data and the actual boundary data;

[0052] The boundary motion recognition layer identifies the motion trajectory of the first boundary data within the adjustment period according to the solar trajectory data of the adjustment period; calibrates the motion trajectory according to the error data to obtain the illumination boundary data;

[0053] The screen area is divided into layers, and illumination boundary data is obtained. The shadow area, illumination area and change area are obtained according to the illumination boundary data; wherein the shadow area is the area on the screen that is always in the shadow state; the illumination area is the area on the screen that is always in the illumination state; the change area is the area where the state changes, that is, the area where the state changes due to the movement of the first boundary data, including the area where the illumination state changes to the shadow state and the area where the shadow state changes to the illumination state.

[0054] In the third control module, the process of dividing and identifying the states of the RGB LED units in the changed area is as follows:

[0055] According to the coordinate system of the RGB LED screen, obtain the coordinate data of the RGB LED unit;

[0056] Identify boundary data of the coordinate data passing through the RGB LED unit in the illumination boundary data as target boundary data;

[0057] Acquire the time when the target boundary data exists to obtain the target time; take the time interval from the start time of the adjustment period to the target time as the first state interval; take the time interval from the target time to the end time of the adjustment period as the second state interval;

[0058] If the first state interval is a shadow state and the second state interval is an illumination state; then data is collected and identified for the first state interval according to the first compensation recognition model to obtain first change control data; and data is collected and identified for the second state interval according to the second compensation recognition model to obtain second change control data;

[0059] If the first state interval is an illuminated state and the second state interval is a shadow state, data is collected and identified for the first state interval according to the second compensation recognition model to obtain first change control data; data is collected and identified for the second state interval according to the first compensation recognition model to obtain second change control data.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1. The present invention identifies the display surface of the RGB LED screen to obtain structural distribution data; constructs a coordinate system according to the structural distribution data; the coordinate system can accurately identify and analyze the illumination boundary on the RGB LED screen to obtain illumination boundary data; and then trains the illumination boundary data and sun track data to obtain an initial boundary recognition layer, thereby accurately identifying the illumination boundary data of the RGB LED screen according to the sun track data.

[0062] 2. The present invention identifies the sun track data at the start of the adjustment period to obtain the first boundary data; obtains the error data based on the data difference between the first boundary data and the actual boundary data; obtains the motion trajectory of the first boundary data within the adjustment period based on the sun track data of the adjustment period; calibrates the motion trajectory based on the error data to obtain the illumination boundary data; divides the RGB LED screen into regions based on the illumination boundary data to obtain the shadow region, the illumination region and the change region; and accurately distinguishes the RGB LED screen in different states within the adjustment period.

[0063] 3. The present invention conducts data collection and regulation experiments on the RGB LED screen in the shadow state, and uses the data similarity between the first shadow projection data and the first shadow standard data before regulation as the shadow initial label; obtains the shadow adjustment label according to the second shadow projection data after regulation and the first shadow standard data; measures the regulation effect through the shadow initial label and the shadow adjustment label, thereby training and obtaining the first compensation recognition model.

[0064] 4. The present invention conducts data collection and regulation experiments on the RGB LED screen under the lighting state, and uses the data similarity between the first lighting projection data and the first lighting standard data before regulation as the lighting initial label; obtains the lighting adjustment label according to the second lighting projection data after regulation and the first lighting standard data; measures the regulation effect through the lighting initial label and the lighting adjustment label, thereby training to obtain the second compensation recognition model.

[0065] 5. The present invention determines the time point when the state change occurs according to the coordinate data and the illumination boundary data of the RGB LED unit, and divides it into a first state interval and a second state interval; selects a compensation recognition model according to the actual states of the first state interval and the second state interval, and recognizes the first change control data and the second change control data; and can accurately control according to the actual states of the RGB LED units in the change area. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a flow chart of an automatic compensation method based on RGB LED temperature characteristics of the present invention;

[0067] Figure 2 It is a structural schematic diagram of the screen area division model of the present invention;

[0068] Figure 3 It is a structural schematic diagram of an automatic compensation system based on RGB LED temperature characteristics of the present invention;

[0069] Figure 4 This is a schematic diagram of the area division of the RGB LED screen of the present invention;

[0070] Figure 5 It is a schematic diagram of state identification of RGB LED units in the changing area of ​​the RGB LED screen of the present invention;

[0071] Figure 4 Middle: 101, border of the display surface of the RGB LED screen; 102, first border data; 103, border data at the end time; 104, shadow area; 105, illumination area; 106, change area; Figure 5 Middle: 107, target RGB LED unit; 108, target boundary data; 109, two-dimensional coordinate origin; 110, two-dimensional coordinate X axis; 111, two-dimensional coordinate Y axis. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] Embodiment 1

[0074] The present invention proposes an automatic compensation method based on RGB LED temperature characteristics, the process is as follows: Figure 1 As shown, including:

[0075] S10. Setting an adjustment period according to the working time of the RGB LED screen; obtaining the sun track data within the adjustment period, including azimuth angle data and altitude angle data.

[0076] The process of acquiring the sun track data is as follows: identifying the position coordinates of the RGB LED screen, identifying the movement track of the sun at the position coordinates, and obtaining the sun's azimuth angle data and altitude angle data.

[0077] S20. Construct a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; divide the illumination boundary data into shadow area, illumination area and change area; the change area is the moving coverage area of ​​the illumination boundary data.

[0078] The screen area division model includes an initial boundary recognition layer, a boundary error recognition layer, a boundary motion recognition layer and a screen area division layer, and its structure is as follows: Figure 2 As shown;

[0079] The initial boundary recognition layer recognizes the sun trajectory data at the start of the adjustment period to obtain the first boundary data;

[0080] A boundary error recognition layer, which recognizes and obtains the actual boundary data at the start time of the adjustment period, and obtains error data according to the data difference between the first boundary data and the actual boundary data;

[0081] The boundary motion recognition layer identifies the motion trajectory of the first boundary data within the adjustment period according to the solar trajectory data of the adjustment period; calibrates the motion trajectory according to the error data to obtain the illumination boundary data;

[0082] The screen area is divided into layers, and illumination boundary data is obtained. The shadow area, illumination area and change area are obtained according to the illumination boundary data; wherein the shadow area is the area on the screen that is always in the shadow state; the illumination area is the area on the screen that is always in the illumination state; the change area is the area where the state changes, that is, the area where the state changes due to the movement of the first boundary data, including the area where the illumination state changes to the shadow state and the area where the shadow state changes to the illumination state.

[0083] The present invention identifies the sun track data at the start time of the adjustment period to obtain the first boundary data; obtains the error data according to the data difference between the first boundary data and the actual boundary data; obtains the motion track of the first boundary data in the adjustment period according to the sun track data in the adjustment period; calibrates the motion track according to the error data to obtain the illumination boundary data; divides the RGB LED screen into regions according to the illumination boundary data to obtain the shadow region, the illumination region and the change region; and accurately distinguishes the RGB LED screen in different states in the adjustment period.

[0084] The training process of the initial boundary recognition layer in the screen area division model is as follows:

[0085] Obtaining structural distribution data of the display surface of the RGB LED screen, and constructing a coordinate system according to the structural distribution data; if the structural distribution data is two-dimensional data, constructing a two-dimensional coordinate system; if the structural distribution data is three-dimensional data, constructing a three-dimensional coordinate system;

[0086] Monitor the RGB LED screen and obtain the illumination boundary data in combination with the coordinate system; at the same time, obtain the corresponding sun trajectory data based on the time data of the illumination boundary data;

[0087] The initial boundary recognition layer is obtained by training according to the illumination boundary data and sun trajectory data.

[0088] The present invention identifies the display surface of an RGB LED screen to obtain structural distribution data; a coordinate system is constructed according to the structural distribution data; the illumination boundary on the RGB LED screen can be accurately identified and analyzed through the coordinate system to obtain illumination boundary data; an initial boundary recognition layer is obtained by training according to the illumination boundary data and sun track data, so as to accurately identify the illumination boundary data of the RGB LED screen according to the sun track data.

[0089] S30. Obtain shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; construct a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and control the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit.

[0090] The training process of the first compensation recognition model is:

[0091] Collecting data on the RGB LED screen in a shadow state to obtain first shadow projection data, first shadow standard data and first shadow temperature data;

[0092] Identify and obtain data similarity between the first shadow projection data and the first shadow standard data as an initial shadow label;

[0093] The RGB LED screen in the shadow state is regulated by the first regulation data to obtain the second shadow projection data; the shadow adjustment label is obtained according to the second shadow projection data and the first shadow standard data; wherein the first regulation data includes the current ratio data and the pulse width regulation data for adjusting each channel of the RGB LED unit;

[0094] Obtain shadow state experimental data according to the first shadow projection data, the first shadow standard data, the first shadow temperature data, the shadow initial label, the shadow adjustment label and the first control data;

[0095] The first compensation recognition model is obtained by training according to the shadow state experimental data.

[0096] Current ratio data refers to changing the brightness of different colors by controlling the current output and ratio of each color channel;

[0097] Pulse width control data refers to the periodic regulation of the current switch, usually a switching power supply or a switching element that controls the current, adjusting the ratio of the switch on and off in each cycle. A longer "on time" is equivalent to a higher current output, making the LED brighter; the first shadow temperature data is obtained by the average temperature of the shadow area.

[0098] The present invention conducts data collection and regulation experiments on an RGB LED screen in a shadow state, and uses the data similarity between the first shadow projection data before regulation and the first shadow standard data as an initial shadow label; obtains a shadow adjustment label according to the second shadow projection data after regulation and the first shadow standard data; and measures the regulation effect through the initial shadow label and the shadow adjustment label, thereby training and obtaining a first compensation recognition model.

[0099] S40. Obtain lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; construct a second compensation recognition model to identify the lighting state parameters, obtain lighting control data, and control the lighting area.

[0100] The training process of the second compensation recognition model is:

[0101] Collecting data on the large screen in the illumination state; obtaining first illumination projection data, first illumination standard data, first illumination temperature data, first illumination intensity data and first illumination color temperature data;

[0102] Identify and obtain data similarity between the first illumination projection data and the first illumination standard data as an illumination initial label;

[0103] The RGB LED screen in the illumination state is regulated by the second regulation data to obtain the second illumination projection data; and the illumination regulation label is obtained according to the second illumination projection data and the first illumination standard data;

[0104] Obtaining lighting state experimental data according to the first lighting projection data, the first lighting standard data, the first lighting temperature data, the first lighting intensity data, the first lighting color temperature data, the lighting initial label, the lighting adjustment label, and the second control data;

[0105] The second compensation recognition model is obtained by training according to the experimental data of the lighting status.

[0106] The present invention conducts data collection and regulation experiments on an RGB LED screen under illumination state, and uses the data similarity between the first illumination projection data and the first illumination standard data before regulation as an illumination initial label; obtains an illumination regulation label according to the second illumination projection data after regulation and the first illumination standard data; measures the regulation effect by using the illumination initial label and the illumination regulation label, and thereby trains and obtains a second compensation recognition model.

[0107] S50. Identify the RGB LED unit in the changed area; determine the time point when the state of the RGB LED unit changes according to the illumination boundary data, and divide the adjustment period of the RGB LED unit into a first state interval and a second state interval; select a compensation recognition model according to the actual states of the first state interval and the second state interval, identify and obtain the first change control data and the second change control data, and control the changed area.

[0108] The process of determining the first state interval and the second state interval of the RGB LED unit according to the illumination boundary data is as follows:

[0109] According to the coordinate system of the RGB LED screen, obtain the coordinate data of the RGB LED unit;

[0110] Identify boundary data of the coordinate data passing through the RGB LED unit in the illumination boundary data as target boundary data;

[0111] The time when the target boundary data exists is obtained to obtain the target time; the time interval from the start time of the adjustment period to the target time is used as the first state interval; and the time interval from the target time to the end time of the adjustment period is used as the second state interval.

[0112] The process of identifying the compensation identification model selected according to the actual state of the first state interval and the second state interval is as follows:

[0113] If the first state interval is a shadow state and the second state interval is an illumination state; then data is collected and identified for the first state interval according to the first compensation recognition model to obtain first change control data; and data is collected and identified for the second state interval according to the second compensation recognition model to obtain second change control data;

[0114] If the first state interval is an illuminated state and the second state interval is a shadow state, data is collected and identified for the first state interval according to the second compensation recognition model to obtain first change control data; data is collected and identified for the second state interval according to the first compensation recognition model to obtain second change control data.

[0115] Among them, the RGB LED unit is determined according to the RGB LED light emitting diode.

[0116] The present invention determines the time point when a state change occurs according to the coordinate data and the illumination boundary data of the RGB LED unit, and divides it into a first state interval and a second state interval; selects a compensation recognition model according to the actual states of the first state interval and the second state interval, and recognizes and obtains first change control data and second change control data; and can accurately control according to the actual states of the RGB LED unit in the change area.

[0117] In order to verify the actual effect of the automatic compensation method based on RGB LED temperature characteristics described in the present invention, the present invention conducts a verification experiment on it; the verification experiment includes four compensation methods; compensation method one is an automatic compensation method based on RGB LED temperature characteristics of the present invention; compensation method two is to take the RGB LED screen as a whole, obtain the average temperature for automatic compensation; compensation method three is to identify all RGB LED units of the RGB LED screen, and perform separate data acquisition and automatic compensation for each RGB LED unit; compensation method four is to not perform RGB LED screen compensation.

[0118] The data similarity between the actual projection data and the standard projection data of the RGB LED screen under different compensation methods is used as a measure of the compensation effect; the obtained data is shown in Table 1;

[0119] Table 1 Method effect verification data table

[0120]

[0121] It can be seen from the data in Table 1 that the automatic compensation method based on the temperature characteristics of RGB LEDs described in the present invention has the best compensation effect.

[0122] The present invention also proposes an automatic compensation system based on the temperature characteristics of RGB LEDs. The structure of the system is as follows: Figure 3 As shown, including:

[0123] The data acquisition module sets the adjustment period according to the working time of the RGB LED screen; obtains the sun track data within the adjustment period, including azimuth angle data and altitude angle data;

[0124] The area division module builds a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; the shadow area, illumination area and change area are obtained according to the illumination boundary data; the change area is the mobile coverage area of ​​the illumination boundary data;

[0125] The first control module obtains shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; constructs a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and controls the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit;

[0126] The second control module obtains the lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; constructs a second compensation recognition model to identify the lighting state parameters, obtains lighting control data, and controls the lighting area;

[0127] The third control module identifies the RGB LED unit in the changed area; determines the time point when the state of the RGB LED unit changes according to the illumination boundary data, and divides the adjustment period of the RGB LED unit into a first state interval and a second state interval; selects a compensation recognition model according to the actual states of the first state interval and the second state interval, identifies and obtains the first change control data and the second change control data, and controls the changed area.

[0128] The present invention sets an adjustment cycle according to the working time of the RGB LED screen, obtains the sun track data within the adjustment cycle; constructs a screen area division model to identify the sun track data, and obtains the illumination boundary data on the RGB LED screen; divides the shadow area, the illumination area and the change area according to the illumination boundary data; constructs a first compensation recognition model to identify the shadow state parameters of the shadow area, obtains the shadow control data, constructs a second compensation recognition model to identify the illumination state parameters of the illumination area, obtains the illumination control data, and identifies the RGB LED unit in the change area; determines the time point when the RGB LED unit changes state according to the illumination boundary data, and divides the adjustment cycle of the RGB LED unit into a first state interval and a second state interval; selects a compensation recognition model for the actual state of the state interval, and identifies the control data. The present invention divides the RGB LED screen into regions according to the illumination boundary data, identifies each region to obtain the corresponding control data, and realizes accurate control of the RGB LED screen.

[0129] Embodiment 2

[0130] Mall C installed multiple RGB LED screens on the exterior wall of the mall for displaying advertisements and related video images. However, as the sun rises in the east and sets in the west, the light and shadow on the RGB LED screens change periodically, dividing the RGB LED screen into a sunlight-exposed area and an unexposed area, resulting in a temperature difference between the two areas. Due to the temperature characteristics of the RGB LED screen, its brightness and color will shift at different temperatures, affecting the projection effect.

[0131] For this purpose, an automatic compensation method based on RGB LED temperature characteristics according to the present invention is adopted. The process of the method is as follows: Figure 1 As shown, including:

[0132] S10. Setting an adjustment period according to the working time of the RGB LED screen; obtaining the sun track data within the adjustment period, including azimuth angle data and altitude angle data.

[0133] Take the No. 1 RGB LED screen set up in shopping mall C as an example; the display surface of No. 1 RGB LED screen is a two-dimensional rectangle, the working hours are from 10 am to 10 pm, and it continuously displays for 12 hours a day; Shopping mall C sets the adjustment cycle to 10 minutes, and some data for dividing the adjustment cycle of No. 1 RGB LED screen are shown in Table 2.

[0134] Table 2 RGB LED screen adjustment cycle distribution data table

[0135]

[0136] Then, the solar trajectory data within the adjustment period is obtained; due to the revolution and rotation of the earth, the movement trajectory of the sun observed on RGBLED screen No. 1 shows periodic changes.

[0137] The sun's trajectory data can be identified by azimuth and altitude; the solar azimuth refers to the direction angle from due north clockwise to the intersection of the sun and the horizon, indicating the horizontal position of the sun on the horizon and describing the sun's direction from east to west; the solar altitude refers to the angle between the line from the observer's location to the sun and the horizon, indicating the sun's vertical position in the sky. The larger the solar altitude, the closer the sun is to the zenith.

[0138] The geographic coordinates of shopping mall C are obtained, and the No. 1 RGB LED screen of shopping mall C is used as the observation point to calculate the solar trajectory data within the adjustment period, as shown in Table 3.

[0139] Table 3 Sun trajectory data table

[0140]

[0141] S20. Construct a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; divide the illumination boundary data into shadow areas, illumination areas and change areas; the change area is the mobile coverage area of ​​the illumination boundary data;

[0142] The screen area division model includes an initial boundary recognition layer, a boundary error recognition layer, a boundary motion recognition layer and a screen area division layer;

[0143] The initial boundary recognition layer recognizes the sun trajectory data at the start of the adjustment period to obtain the first boundary data;

[0144] A boundary error recognition layer, which recognizes and obtains the actual boundary data at the start time of the adjustment period, and obtains error data according to the data difference between the first boundary data and the actual boundary data;

[0145] The boundary motion recognition layer identifies the motion trajectory of the first boundary data within the adjustment period according to the solar trajectory data of the adjustment period; calibrates the motion trajectory according to the error data to obtain the illumination boundary data;

[0146] The screen area is divided into layers, and illumination boundary data is obtained. The shadow area, illumination area and change area are obtained according to the illumination boundary data; wherein the shadow area is the area on the screen that is always in the shadow state; the illumination area is the area on the screen that is always in the illumination state; the change area is the area where the state changes, that is, the area where the state changes due to the movement of the first boundary data, including the area where the illumination state changes to the shadow state and the area where the shadow state changes to the illumination state.

[0147] The training process of the initial boundary recognition layer in the screen area division model is as follows:

[0148] Obtain the structural distribution data of the display surface of the RGB LED screen, and construct a coordinate system according to the structural distribution data; if the structural distribution data is two-dimensional data, construct a two-dimensional coordinate system; if the structural distribution data is three-dimensional data, construct a three-dimensional coordinate system; since the display surface of RGB LED screen No. 1 is a two-dimensional rectangle, a two-dimensional coordinate system is constructed;

[0149] Monitor the RGB LED screen and obtain the illumination boundary data in combination with the coordinate system; at the same time, obtain the corresponding sun trajectory data based on the time data of the illumination boundary data;

[0150] The initial boundary recognition layer is obtained by training according to the illumination boundary data and sun trajectory data.

[0151] The data of the third adjustment cycle of RGB LED screen No. 1 is selected to divide the screen area, wherein the start time of the third adjustment cycle of RGB LED screen No. 1 is 10:20, and the end time is 10:30; at the start time of the adjustment cycle, the sun track data of the corresponding adjustment cycle is identified and predicted; the sun track data is identified through the screen area division model to obtain the illumination boundary data, and the screen is divided into multiple areas.

[0152] The screen area is divided according to the data of the third adjustment cycle of the RGB LED screen No. 1, such as Figure 4 As shown;

[0153] Figure 4 In the figure, 101 represents the border of the display surface of RGB LED screen No. 1, and the enclosed area is the display surface of RGB LED screen No. 1; 102 is the first boundary data, which is obtained by identifying the sun track data at the beginning of the adjustment period according to the initial boundary recognition layer; 103 is the end time boundary data, which is predicted and calibrated according to the sun track data at the end of the adjustment period; the trajectory of the illumination boundary moving from 102 to 103 is the illumination boundary data; 104 represents the shadow area, which is always in the shadow state during the adjustment period; 105 represents the illumination area, which is always in the illumination state during the adjustment period; 106 is the change area, which changes from the illumination state to the shadow state during the adjustment period.

[0154] S30. Obtain shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; construct a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and control the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit;

[0155] The training process of the first compensation recognition model is:

[0156] Collecting data on the RGB LED screen in a shadow state to obtain first shadow projection data, first shadow standard data and first shadow temperature data;

[0157] Identify and obtain data similarity between the first shadow projection data and the first shadow standard data as an initial shadow label;

[0158] The RGB LED screen in the shadow state is regulated by the first regulation data to obtain the second shadow projection data; the shadow adjustment label is obtained according to the second shadow projection data and the first shadow standard data; wherein the first regulation data includes the current ratio data and the pulse width regulation data for adjusting each channel of the RGB LED unit;

[0159] Obtain shadow state experimental data according to the first shadow projection data, the first shadow standard data, the first shadow temperature data, the shadow initial label, the shadow adjustment label and the first control data;

[0160] The first compensation recognition model is obtained by training according to the shadow state experimental data.

[0161] S40. Obtaining lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; constructing a second compensation recognition model to identify the lighting state parameters, obtain lighting control data, and control the lighting area;

[0162] The training process of the second compensation recognition model is:

[0163] Collecting data on the large screen in the illumination state; obtaining first illumination projection data, first illumination standard data, first illumination temperature data, first illumination intensity data and first illumination color temperature data;

[0164] Identify and obtain data similarity between the first illumination projection data and the first illumination standard data as an illumination initial label;

[0165] The RGB LED screen in the illumination state is regulated by the second regulation data to obtain the second illumination projection data; and the illumination regulation label is obtained according to the second illumination projection data and the first illumination standard data;

[0166] Obtaining lighting state experimental data according to the first lighting projection data, the first lighting standard data, the first lighting temperature data, the first lighting intensity data, the first lighting color temperature data, the lighting initial label, the lighting adjustment label, and the second control data;

[0167] The second compensation recognition model is obtained by training according to the experimental data of the lighting status.

[0168] S50. Identify the RGB LED unit in the changed area; determine the time point when the state of the RGB LED unit changes according to the illumination boundary data, and divide the adjustment period of the RGB LED unit into a first state interval and a second state interval; select a compensation recognition model according to the actual states of the first state interval and the second state interval, identify and obtain the first change control data and the second change control data, and control the changed area.

[0169] The process of determining the first state interval and the second state interval of the RGB LED unit according to the illumination boundary data is as follows:

[0170] According to the coordinate system of the RGB LED screen, obtain the coordinate data of the RGB LED unit;

[0171] Identify boundary data of the coordinate data passing through the RGB LED unit in the illumination boundary data as target boundary data;

[0172] The time when the target boundary data exists is obtained to obtain the target time; the time interval from the start time of the adjustment period to the target time is used as the first state interval; and the time interval from the target time to the end time of the adjustment period is used as the second state interval.

[0173] The process of identifying the compensation identification model selected according to the actual state of the first state interval and the second state interval is as follows:

[0174] If the first state interval is a shadow state and the second state interval is an illumination state; then data is collected and identified for the first state interval according to the first compensation recognition model to obtain first change control data; and data is collected and identified for the second state interval according to the second compensation recognition model to obtain second change control data;

[0175] If the first state interval is an illuminated state and the second state interval is a shadow state, data is collected and identified for the first state interval according to the second compensation recognition model to obtain first change control data; data is collected and identified for the second state interval according to the first compensation recognition model to obtain second change control data.

[0176] Taking the division result of the screen area of ​​the 3rd adjustment cycle of the No. 1 RGB LED screen as an example, the status of the RGBLED unit in the changed area is identified. Figure 5 As shown, Figure 5 107 represents the selected target RGB LED unit; 108 represents the target boundary data, i.e., the boundary data of the coordinate data passing through the target RGB LED unit in the illumination boundary data; 109 represents the origin of the two-dimensional coordinate, which is selected at the lower left vertex of the RGB LED screen; 110 represents the X-axis of the two-dimensional coordinate, and 111 represents the Y-axis of the two-dimensional coordinate, which is constructed according to the border of the RGB LED screen.

[0177] Among them, the state change of the change area is from the illumination state to the shadow state. Therefore, for the target RGB LED unit in the change area, the first state interval is in the illumination state, and the second compensation recognition model is adopted; the second state interval is in the shadow state, and the first compensation recognition model is adopted.

[0178] By using the automatic compensation method based on the temperature characteristics of RGB LEDs described in the present invention, the RGBLED screen of shopping mall C can always maintain a good projection effect.

[0179] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic compensation method based on RGB LED temperature characteristics, characterized in that: include: S10. Setting an adjustment period according to the working time of the RGB LED screen; obtaining the sun trajectory data within the adjustment period, including azimuth data and altitude data; S20. Constructing a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; The shadow area, the illumination area and the change area are obtained according to the illumination boundary data; the change area is the moving coverage area of ​​the illumination boundary data; S30. Obtain shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; construct a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and control the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit; S40. Obtaining lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; Construct a second compensation recognition model to identify the illumination state parameters, obtain illumination control data, and control the illumination area; S50. Identify the RGB LED unit of the change area; The time point when the state of the RGB LED unit changes is determined according to the illumination boundary data, and the adjustment period of the RGB LED unit is divided into a first state interval and a second state interval; a compensation recognition model is selected according to the actual states of the first state interval and the second state interval, and the first change control data and the second change control data are obtained by recognition, so as to control the change area.

2. The automatic compensation method based on RGB LED temperature characteristics according to claim 1, characterized in that: The screen area division model includes an initial boundary recognition layer, a boundary error recognition layer, a boundary motion recognition layer and a screen area division layer; The initial boundary recognition layer recognizes the sun trajectory data at the start of the adjustment period to obtain the first boundary data; A boundary error recognition layer, which recognizes and obtains the actual boundary data at the start time of the adjustment period, and obtains error data according to the data difference between the first boundary data and the actual boundary data; The boundary motion recognition layer identifies the motion trajectory of the first boundary data within the adjustment period according to the solar trajectory data of the adjustment period; calibrates the motion trajectory according to the error data to obtain the illumination boundary data; The screen area is divided into layers, and illumination boundary data is obtained. The shadow area, illumination area and change area are obtained according to the illumination boundary data; wherein the shadow area is the area on the screen that is always in the shadow state; the illumination area is the area on the screen that is always in the illumination state; the change area is the area where the state changes, that is, the area where the state changes due to the movement of the first boundary data, including the area where the illumination state changes to the shadow state and the area where the shadow state changes to the illumination state.

3. The automatic compensation method based on RGB LED temperature characteristics according to claim 2, characterized in that: The training process of the initial boundary recognition layer in the screen area division model is as follows: Obtaining structural distribution data of the display surface of the RGB LED screen, and constructing a coordinate system according to the structural distribution data; if the structural distribution data is two-dimensional data, constructing a two-dimensional coordinate system; if the structural distribution data is three-dimensional data, constructing a three-dimensional coordinate system; Monitor the RGB LED screen and obtain the illumination boundary data in combination with the coordinate system; at the same time, obtain the corresponding sun trajectory data based on the time data of the illumination boundary data; The initial boundary recognition layer is obtained by training according to the illumination boundary data and sun trajectory data.

4. The automatic compensation method based on RGB LED temperature characteristics according to claim 1, characterized in that: The training process of the first compensation recognition model is: Collecting data on the RGB LED screen in a shadow state to obtain first shadow projection data, first shadow standard data and first shadow temperature data; Identify and obtain data similarity between the first shadow projection data and the first shadow standard data as an initial shadow label; The RGB LED screen in the shadow state is regulated by the first regulation data to obtain the second shadow projection data; the shadow adjustment label is obtained according to the second shadow projection data and the first shadow standard data; wherein the first regulation data includes the current ratio data and the pulse width regulation data for adjusting each channel of the RGB LED unit; Obtain shadow state experimental data according to the first shadow projection data, the first shadow standard data, the first shadow temperature data, the shadow initial label, the shadow adjustment label and the first control data; The first compensation recognition model is obtained by training according to the shadow state experimental data.

5. The automatic compensation method based on RGB LED temperature characteristics according to claim 1, characterized in that: The training process of the second compensation recognition model is: Collect data on the large screen under illumination; Obtaining first lighting projection data, first lighting standard data, first lighting temperature data, first lighting intensity data and first lighting color temperature data; Identify and obtain data similarity between the first illumination projection data and the first illumination standard data as an illumination initial label; The RGB LED screen in the illumination state is regulated by the second regulation data to obtain the second illumination projection data; Obtaining a lighting adjustment label according to the second lighting projection data and the first lighting standard data; Obtaining lighting state experimental data according to the first lighting projection data, the first lighting standard data, the first lighting temperature data, the first lighting intensity data, the first lighting color temperature data, the lighting initial label, the lighting adjustment label, and the second control data; The second compensation recognition model is obtained by training according to the experimental data of the lighting status.

6. The automatic compensation method based on RGB LED temperature characteristics according to claim 1, characterized in that: The process of determining the first state interval and the second state interval of the RGB LED unit according to the illumination boundary data is as follows: According to the coordinate system of the RGB LED screen, obtain the coordinate data of the RGB LED unit; Identify boundary data passing through the RGB LED unit coordinate data in the illumination boundary data as target boundary data; The time when the target boundary data exists is obtained to obtain the target time; the time interval from the start time of the adjustment period to the target time is used as the first state interval; and the time interval from the target time to the end time of the adjustment period is used as the second state interval.

7. The automatic compensation method based on RGB LED temperature characteristics according to claim 1, characterized in that: The process of identifying the compensation identification model selected according to the actual state of the first state interval and the second state interval is as follows: If the first state interval is a shadow state and the second state interval is an illumination state; then data is collected and identified for the first state interval according to the first compensation recognition model to obtain first change control data; and data is collected and identified for the second state interval according to the second compensation recognition model to obtain second change control data; If the first state interval is an illuminated state and the second state interval is a shadow state, data is collected and identified for the first state interval according to the second compensation recognition model to obtain first change control data; data is collected and identified for the second state interval according to the first compensation recognition model to obtain second change control data.

8. An automatic compensation system based on RGB LED temperature characteristics, characterized in that: include: The data acquisition module sets the adjustment period according to the working time of the RGB LED screen; obtains the sun track data within the adjustment period, including azimuth angle data and altitude angle data; The area division module builds a screen area division model to identify the sun trajectory data and obtain the illumination boundary data on the RGB LED screen; The shadow area, the illumination area and the change area are obtained according to the illumination boundary data; the change area is the moving coverage area of ​​the illumination boundary data; The first control module obtains shadow state parameters of the shadow area, including actual shadow projection data, standard shadow projection data and shadow temperature data; constructs a first compensation recognition model to identify the shadow state parameters to obtain shadow control data, and controls the shadow area; the shadow control data includes current ratio data and pulse width control data of each channel in the RGB LED unit; The second control module obtains the lighting state parameters of the lighting area, including actual lighting projection data, standard lighting projection data, lighting temperature data, lighting intensity data and lighting color temperature data; Construct a second compensation recognition model to identify the illumination state parameters, obtain illumination control data, and control the illumination area; The third control module identifies the RGB LED units in the changed area; The time point when the state of the RGB LED unit changes is determined according to the illumination boundary data, and the adjustment period of the RGB LED unit is divided into a first state interval and a second state interval; a compensation recognition model is selected according to the actual states of the first state interval and the second state interval, and the first change control data and the second change control data are obtained by recognition, so as to control the change area.

9. The automatic compensation system based on RGB LED temperature characteristics according to claim 8, characterized in that: In the area division module, the RGB LED screen is divided into areas by constructing a screen area division model; the screen area division model includes an initial boundary recognition layer, a boundary error recognition layer, a boundary motion recognition layer and a screen area division layer; The initial boundary recognition layer recognizes the sun trajectory data at the start of the adjustment period to obtain the first boundary data; A boundary error recognition layer, which recognizes and obtains the actual boundary data at the start time of the adjustment period, and obtains error data according to the data difference between the first boundary data and the actual boundary data; The boundary motion recognition layer identifies the motion trajectory of the first boundary data within the adjustment period according to the solar trajectory data of the adjustment period; calibrates the motion trajectory according to the error data to obtain the illumination boundary data; The screen area is divided into layers, and illumination boundary data is obtained. The shadow area, illumination area and change area are obtained according to the illumination boundary data; wherein the shadow area is the area on the screen that is always in the shadow state; the illumination area is the area on the screen that is always in the illumination state; the change area is the area where the state changes, that is, the area where the state changes due to the movement of the first boundary data, including the area where the illumination state changes to the shadow state and the area where the shadow state changes to the illumination state.

10. The automatic compensation system based on RGB LED temperature characteristics according to claim 8, characterized in that: In the third control module, the process of dividing and identifying the states of the RGB LED units in the changed area is as follows: According to the coordinate system of the RGB LED screen, obtain the coordinate data of the RGB LED unit; Identify boundary data of the coordinate data passing through the RGB LED unit in the illumination boundary data as target boundary data; Acquire the time when the target boundary data exists to obtain the target time; and take the time interval from the start time of the adjustment period to the target time as the first state interval; The time interval from the target time to the end time of the adjustment period is taken as the second state interval; If the first state interval is a shadow state and the second state interval is an illumination state; then data is collected and identified for the first state interval according to the first compensation recognition model to obtain first change control data; and data is collected and identified for the second state interval according to the second compensation recognition model to obtain second change control data; If the first state interval is an illuminated state and the second state interval is a shadow state, data is collected and identified for the first state interval according to the second compensation recognition model to obtain first change control data; data is collected and identified for the second state interval according to the first compensation recognition model to obtain second change control data.

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