LED display screen color adjusting system and method based on ambient light perception

Abstract

The invention provides an LED display screen color adjusting system and method based on ambient light perception. The system comprises a signal acquisition module, a color matching module and an illumination feedback module. The method comprises the steps that the light intensity of the surrounding environment of the display screen is detected through a light perception sensor, an analog signal of the light intensity is obtained, the analog signal is converted into a digital signal through an analog-to-digital converter, and then a light intensity value corresponding to the analog signal is obtained; on the basis of the light intensity value, brightness values of three basic colors of red, green and blue matched with the light intensity value are calculated according to a preset color adjustment strategy; adjusting the color in the display screen according to the brightness value; and according to the light intensity acquisition period, re-detecting the light intensity of the surrounding environment in real time, and adjusting according to a new light intensity value. According to the invention, color adjustment based on ambient light perception can be realized, so that the display effect is more adaptive and optimized under different illumination conditions; and better visual experience can be provided.

Description

Technical Field

[0001] The present invention relates to the technical field of color adjustment, and in particular to a system and method for adjusting the color of an LED display screen based on ambient light perception. Background Art

[0002] As an important display device, LED display has many advantages in display effect and use. The color of LED display is produced by different brightness combinations of three basic colors: red (R), green (G) and blue (B). This color combination is called RGB color mode. The color of LED display is adjusted by controlling the brightness of the three basic colors of red, green and blue to achieve the desired color effect. By adjusting the brightness of these three colors, almost all colors and color changes can be achieved, which is very important for displaying real images and video content. However, the color adjustment of existing LED display is half adjusted by the operator according to his own situation through buttons, which is not only time-consuming and labor-intensive, but also the color effect cannot adapt to the surrounding environment, which directly affects the color display effect of LED display.

[0003] Prior art 1, application number: CN202310545374.0 discloses a display screen brightness adjustment method, device, computer equipment and storage medium, the display screen brightness adjustment method includes: obtaining a task screen, analyzing the task screen, and determining the brightness information and color information corresponding to the task screen; determining the number of tasks for the task, and dividing the display area of ​​the display screen according to the number of tasks to form a partitioned display area; based on the color information, optimally sorting the tasks, and displaying each task in the corresponding partitioned display area; based on the color information and the partitioned display area, adjusting the brightness information of the partitioned display area corresponding to the task screen. Although it solves or improves the problem of poor user experience of the display screen. However, its function is relatively simple, and the color adjustment is adjusted according to the task, which makes it impossible to adjust according to the ambient light conditions, resulting in a poor user experience.

[0004] Prior art 2, application number: CN202310077515.0 discloses a display screen correction method, device and non-volatile storage medium in color gamut adjustment, wherein the method comprises: determining the target correction data before correction of the RGB three primary colors of the target color gamut of the display screen under the ideal luminous state, the ideal luminous state is the state in which the luminous state of the RGB three primary colors of the display screen conforms to the ideal change law as the correction data of the display screen changes; according to the correction data interval corresponding to the target correction data before correction, obtaining the compensation parameter corresponding to the correction data interval; compensating the target correction data before correction according to the compensation parameter to obtain the corrected target correction data, wherein the luminous state of the RGB three primary colors of the display screen reaches the ideal luminous state when the corrected target correction data is adopted; writing the corrected target correction data to the display screen. Although the technical problem that the color correction of the display screen has a large error caused by the inability of the correction data to ideally adjust the color of the lamp beads is solved. However, only the function of the display screen itself is improved, and the surrounding light conditions are not used as adjustment factors, which cannot bring excellent visual effects to users.

[0005] Prior art three, application number: CN202310716659.6 discloses a color correction method and system for an LED display screen, including: an information collection unit for detecting environmental impact information of a target screen usage scenario; a data analysis unit for determining the screen color temperature of the target screen according to the degree of change of the light source color temperature, and determining the environmental impact period according to the area of ​​the illumination impact region of the target screen usage scenario; a simulation detection unit, which is connected to the data analysis unit, and is used to perform illumination detection and temperature detection on the target screen according to the instruction information of the data analysis unit; a correction strategy generation unit, which is used to determine the target screen working parameter adjustment amount of the corresponding environmental impact period according to the display effect parameters of the target screen, so as to generate an illumination control strategy, and generate a target screen temperature compensation strategy according to the brightness of the target screen at different detection temperatures; although the accuracy and practicality of the color correction strategy are improved. However, the color cannot match the ambient light, which reduces the accuracy of the color correction strategy.

[0006] At present, the existing technologies 1, 2 and 3 lack monitoring means for the ambient light conditions around the display screen, and lack technical means for analyzing the light conditions to achieve color matching with the light conditions, which reduces the user experience on the one hand, and increases energy consumption and shortens the service life of the display screen on the other hand. Therefore, the present invention provides a color adjustment system and method for an LED display screen based on ambient light perception, which obtains color parameters matching the light conditions by sensing the light conditions, realizes automatic adjustment of the color parameters of the LED display screen, and greatly improves the user experience. Summary of the invention

[0007] In order to solve the above technical problems, the present invention provides a LED display screen color adjustment system based on ambient light perception, comprising: The signal acquisition module is responsible for detecting the light intensity of the environment around the display screen through the light sensing sensor, obtaining an analog signal of the light intensity, and converting the analog signal into a digital signal through an analog-to-digital converter, that is, obtaining the light intensity value corresponding to the analog signal; The color matching module is responsible for calculating the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value based on the light intensity value and in accordance with the preset color adjustment strategy; and adjusting the color on the display screen according to the brightness value; The light feedback module is responsible for re-detecting the light intensity of the surrounding environment in real time according to the light intensity collection cycle, and making adjustments based on the new light intensity value.

[0008] Optional, signal acquisition module, including: The state judgment submodule is responsible for obtaining the function program of the analog-to-digital converter to call the analog signal, and at the same time issuing instructions to establish normal communication with the light sensing sensor to determine whether the communication status is normal. If normal, the analog signal collected by the light sensor is called through the function program. If abnormal, a warning is issued; The trigger execution submodule is responsible for starting the light perception sensor to collect the light intensity of the environment around the display screen according to the set collection cycle, obtaining multiple light intensity analog signals in the same collection cycle, and judging whether the multiple light intensity analog signals can trigger the color adjustment strategy. When more than 70% of the multiple analog signals can trigger the color adjustment strategy, the analog signals exceeding 70% are screened out and sent to the analog-to-digital converter; otherwise, in the next collection cycle, the light perception sensor is started to collect the light intensity of the environment around the display screen; The signal sorting submodule is responsible for receiving the filtered analog signals, sorting them from the maximum to the minimum according to their amplitudes, screening out 2 / 3 of the analog signals from the sorted analog signals, and converting the analog signals into corresponding light intensity values ​​through an analog-to-digital converter.

[0009] Optional, color matching module, including: The graph construction submodule is responsible for constructing the knowledge graph of light intensity values ​​and basic color values. The knowledge graph uses the loss function to train the loss function item parameters and complete the path mining in the knowledge graph, thereby completing the alignment task of light intensity values ​​and basic color values. The value acquisition submodule is responsible for obtaining the light intensity value, inputting it into the color adjustment strategy, and finding the brightness value that aligns with the light intensity value through path mining of the constructed knowledge graph; The matching execution submodule is responsible for replacing the basic color values ​​in the original brightness value with the basic color values ​​in the brightness value to obtain a display screen matching image corresponding to the brightness value.

[0010] Optional, graph construction submodule, including: The first construction unit is responsible for mapping the light intensity values ​​and basic color values ​​in the knowledge graph to the vector space, obtaining the light intensity values ​​and the basic color values, obtaining the corresponding vector of the intermediate relationship between the light intensity values ​​and the basic color values, and constructing the first loss function term of the intrinsic structural information of the knowledge graph; The second construction unit is responsible for obtaining the loss function item corresponding to the aligned light intensity value in the knowledge graph by using the linear mapping function; the alignment degree of the two knowledge graphs is measured by calculating the distance between the light intensity values ​​of the two knowledge graphs and the known alignment relationship in the basic color values, and the second loss function item corresponding to the aligned light intensity value in the knowledge graph is calculated; The third construction unit is responsible for obtaining the third loss function term of the corresponding knowledge graph internal relationship by aligning nodes and intermediate relationships; combining the first loss function term, the second loss function term and the third loss function term to obtain the overall loss function of the knowledge graph.

[0011] Optionally, the third building block comprises: The coefficient definition subunit is responsible for defining the weight coefficient of each loss function item. The larger the weight coefficient, the higher the importance of the corresponding loss function item. For each loss function item, the corresponding loss value is calculated. The loss value is obtained through the output or intermediate results of each construction unit. The weighted summation subunit is responsible for multiplying the loss value of each loss function item by its corresponding weight coefficient to obtain the weighted loss item value; The item value addition subunit is responsible for adding the weighted loss item values ​​to obtain the overall loss function, which reflects the combined impact of each loss function item.

[0012] Optional, value acquisition submodule, including: The path confirmation unit is responsible for determining the starting point and end point of path mining. The starting point is the light intensity value node, and the end point is the brightness value node. The depth-first search starts from the starting point and the path exploration is carried out according to the search strategy. In each step, the next node to be explored is selected according to the current node and the traversed path. The search execution unit is responsible for determining whether the end point has been reached during the search process. If the current node is a brightness value node, a path from the light intensity value to the brightness value is found; the traversed paths are recorded and the path information is stored in a list; if there are still unexplored nodes, the search continues according to the search strategy until all paths are found or the termination condition is reached; The result output unit is responsible for outputting the found path as the result after the search is completed. The path describes the alignment relationship between the light intensity value and the brightness value.

[0013] Optionally, a path confirmation unit includes: The node marking subunit is responsible for marking the light intensity value node as visited; The node selection subunit is responsible for selecting an adjacent unvisited node as the next node to be explored; if there is an unvisited adjacent node, it goes to that node and marks it as visited, and then recursively performs a depth-first search; if all adjacent nodes have been visited, it backtracks to the previous node and continues to select the next unvisited node for exploration; The node traversal subunit is responsible for repeatedly visiting unvisited nodes until the brightness value node is found or all possible paths are traversed.

[0014] Optionally, match execution submodules, including: The matching execution unit is responsible for obtaining the corresponding basic color value based on the brightness value aligned with the light intensity value found by path mining; The value removal unit is responsible for traversing each pixel of the brightness value for each basic color, and according to the matching color value, removing its value from the brightness value and replacing it with the matching basic color value; The image generation unit is responsible for obtaining a display screen matching image corresponding to the matched brightness value after completing the replacement operation; the display screen matching image retains the structure of the original brightness value, but the color information has been adjusted according to the results of path mining to achieve the goal of color matching.

[0015] Optional, light feedback module, including: The cycle confirmation submodule is responsible for obtaining the previous collection cycle and the next collection cycle at the same time. When the next collection cycle arrives, the light sensing sensor is started to collect the light intensity of the environment around the display screen. The intensity comparison submodule is responsible for comparing the new light intensity with the light intensity of the previous acquisition cycle. When the comparison result exceeds the acquisition threshold, the light intensity analog signal processing program is started; otherwise, it continues to wait for the arrival of the next acquisition cycle. The adjustment execution submodule is responsible for starting the processing program of the analog signal of the light intensity, processing the analog signal, and adjusting the color of the display screen according to the processing result.

[0016] The present invention provides a method for adjusting the color of an LED display screen based on ambient light perception, comprising the following steps: The light intensity of the environment around the display screen is detected by a light sensing sensor to obtain an analog signal of the light intensity, and the analog signal is converted into a digital signal by an analog-to-digital converter, that is, a light intensity value corresponding to the analog signal is obtained; Based on the light intensity value, according to the preset color adjustment strategy, the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value are calculated; and the color in the display screen is adjusted according to the brightness value; According to the light intensity collection cycle, the light intensity of the surrounding environment is re-detected in real time and adjusted according to the new light intensity value.

[0017] The signal acquisition module of the present invention converts the ambient light intensity into a processable digital signal for subsequent processing and control. The color matching module dynamically adjusts the color of the display screen according to the ambient light intensity to adapt it to different lighting conditions; it provides more accurate and realistic color representation, making the displayed content more clearly visible in different environments. The lighting feedback module continuously monitors changes in ambient light and adjusts the color of the display screen in a timely manner to maintain the best visual effect; it automatically adjusts the display screen when the ambient light changes, provides consistent color representation, and reduces user operation and intervention.

[0018] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0019] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a block diagram of a LED display screen color adjustment system based on ambient light perception in Example 1 of the present invention; Figure 2 This is a block diagram of a signal acquisition module in Embodiment 2 of the present invention; Figure 3 This is a block diagram of a color matching module in Embodiment 3 of the present invention; Figure 4 This is a block diagram of a submodule for constructing a graph in Example 4 of the present invention; Figure 5 This is a block diagram of the third building unit in Embodiment 5 of the present invention; Figure 6 This is a block diagram of a value acquisition submodule in Embodiment 6 of the present invention; Figure 7 This is a block diagram of a path confirmation unit in Embodiment 7 of the present invention; Figure 8 This is a block diagram of a matching execution submodule in Embodiment 8 of the present invention; Fig. 9 This is a block diagram of a light feedback module in Embodiment 9 of the present invention; Fig.10 This is a flow chart of the method for adjusting the color of an LED display screen based on ambient light perception in Example 10 of the present invention. DETAILED DESCRIPTION

[0021] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0022] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms of "a", "said" and "the" used in the embodiments of the present application are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0023] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as described in detail. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not have to be used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0024] Example 1: Figure 1 As shown, an embodiment of the present invention provides a LED display screen color adjustment system based on ambient light perception, comprising: The signal acquisition module is responsible for detecting the light intensity of the environment around the display screen through the light sensing sensor, obtaining an analog signal of the light intensity, and converting the analog signal into a digital signal through an analog-to-digital converter, that is, obtaining the light intensity value corresponding to the analog signal; The color matching module is responsible for calculating the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value based on the light intensity value and in accordance with the preset color adjustment strategy; and adjusting the color on the display screen according to the brightness value; The light feedback module is responsible for re-detecting the light intensity of the surrounding environment in real time according to the light intensity collection cycle, and making adjustments based on the new light intensity value.

[0025] The working principle and beneficial effects of the above technical solution are as follows: the signal acquisition module of this embodiment detects the light intensity of the environment around the display screen through a light sensing sensor to obtain an analog signal of the light intensity, and converts the analog signal into a digital signal through an analog-to-digital converter, that is, obtains a light intensity value corresponding to the analog signal; the color matching module calculates the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value based on the light intensity value according to the preset color adjustment strategy; adjusts the color in the display screen according to the brightness value; the light feedback module re-detects the light intensity of the surrounding environment in real time according to the light intensity acquisition cycle, and adjusts it according to the new light intensity value. The signal acquisition module of the above solution converts the ambient light intensity into a processable digital signal for subsequent processing and control. The color matching module dynamically adjusts the color of the display screen according to the ambient light intensity to adapt it to different lighting conditions; provides more accurate and realistic color performance, so that the displayed content is clearer and more visible in different environments. The light feedback module continuously monitors changes in ambient light and adjusts the color of the display screen in a timely manner to maintain the best visual effect; automatically adjusts the display screen when the ambient light changes, provides consistent color performance, and reduces user operation and intervention.

[0026] In summary, the LED display screen color adjustment system based on ambient light perception in this embodiment can dynamically adjust the color of the display screen according to the lighting conditions of different environments by collecting ambient light intensity, matching colors and adjusting in real-time feedback; it can provide more accurate and realistic color performance, enhance the viewing experience, reduce user operations and interventions, and maintain consistent visual effects. The LED display screen can achieve color adjustment based on ambient light perception, making the display effect more adaptable and optimized under different lighting conditions; it can provide a better visual experience, reduce eye fatigue, and ensure clear visibility of the displayed content.

[0027] Example 2: Figure 2 As shown, based on Example 1, the signal acquisition module provided by the embodiment of the present invention includes: The state judgment submodule is responsible for obtaining the function program of the analog-to-digital converter to call the analog signal, and at the same time issuing instructions to establish normal communication with the light sensing sensor to determine whether the communication status is normal. If normal, the analog signal collected by the light sensor is called through the function program. If abnormal, a warning is issued; The trigger execution submodule is responsible for starting the light perception sensor to collect the light intensity of the environment around the display screen according to the set collection cycle, obtaining multiple light intensity analog signals in the same collection cycle, and judging whether the multiple light intensity analog signals can trigger the color adjustment strategy. When more than 70% of the multiple analog signals can trigger the color adjustment strategy, the analog signals exceeding 70% are screened out and sent to the analog-to-digital converter; otherwise, in the next collection cycle, the light perception sensor is started to collect the light intensity of the environment around the display screen; The signal sorting submodule is responsible for receiving the filtered analog signals, sorting them from the maximum to the minimum according to their amplitudes, screening out 2 / 3 of the analog signals from the sorted analog signals, and converting the analog signals into corresponding light intensity values ​​through an analog-to-digital converter.

[0028] The working principle and beneficial effects of the above technical solution are as follows: the state judgment submodule of this embodiment obtains the function program of the analog-to-digital converter to call the analog signal, and at the same time issues an instruction to establish normal communication with the light perception sensor to judge whether the communication state is normal. If normal, the analog signal collected by the light sensor is called through the function program. If abnormal, a warning is issued; the trigger execution submodule starts the light perception sensor to collect the light intensity of the surrounding environment of the display screen according to the set collection cycle, obtains multiple light intensity analog signals in the same collection cycle, and judges whether the multiple light intensity analog signals can trigger the color adjustment strategy. When more than 70% of the multiple analog signals can trigger the color adjustment strategy, the analog signals exceeding 70% are screened out and sent to the analog-to-digital converter; otherwise, in the next collection cycle, the light perception sensor is started to collect the light intensity of the surrounding environment of the display screen; the signal sorting submodule receives the screened analog signals, sorts them from the maximum value to the minimum value according to the amplitude of the analog signals, screens out 2 / 3 of the analog signals from the sorted analog signals, and converts the analog signals into corresponding light intensity values ​​through the analog-to-digital converter. The state judgment submodule of the above scheme ensures the normal communication between the light sensing sensor and the analog-to-digital converter by judging the communication state, so as to ensure the accuracy and reliability of subsequent acquisition and processing. The trigger execution submodule determines whether to adopt the color adjustment strategy by judging the trigger conditions in multiple analog signals; judges whether color adjustment is required based on multiple light intensity analog signals within the acquisition cycle; through the processing of the trigger execution submodule, it can flexibly decide whether to perform color adjustment according to the actual ambient lighting conditions, providing more accurate and adaptive color performance. The signal sorting submodule converts the analog signal into the corresponding light intensity value through the analog-to-digital converter; sorts and converts the screened analog signals to obtain the corresponding light intensity value; through the processing of the signal sorting submodule, the light intensity can be sorted and organized to provide more orderly and accurate data for subsequent color adjustment, thereby improving the accuracy and stability of color adjustment.

[0029] To sum up, the specific processing of the state judgment submodule, trigger execution submodule and signal sorting submodule in the signal acquisition module of this embodiment can provide accurate, reliable and orderly light intensity values ​​by judging the communication status, triggering acquisition and screening, sorting and converting analog signals, and providing basic data for subsequent color adjustment to achieve more accurate and realistic color performance.

[0030] Example 3: Figure 3 As shown, based on Example 1, the color matching module provided in this embodiment of the present invention includes: The graph construction submodule is responsible for constructing the knowledge graph of light intensity values ​​and basic color values. The knowledge graph uses the loss function to train the loss function item parameters and complete the path mining in the knowledge graph, thereby completing the alignment task of light intensity values ​​and basic color values. The value acquisition submodule is responsible for obtaining the light intensity value, inputting it into the color adjustment strategy, and finding the brightness value that aligns with the light intensity value through path mining of the constructed knowledge graph; The matching execution submodule is responsible for replacing the basic color values ​​in the original brightness value with the basic color values ​​in the brightness value to obtain a display screen matching image corresponding to the brightness value.

[0031] The working principle and beneficial effects of the above technical solution are as follows: the graph construction submodule of this embodiment constructs a knowledge graph of light intensity values ​​and basic color values. The knowledge graph uses a loss function to train the parameters of the loss function term, and constructs a path mining in the knowledge graph, thereby completing the alignment task of the light intensity value and the basic color value; the value acquisition submodule obtains the light intensity value, inputs it into the color adjustment strategy, and finds the brightness value aligned with the light intensity value through the path mining of the constructed knowledge graph; the matching execution submodule replaces the basic color value in the original brightness value with the basic color value in the brightness value, and obtains the display screen matching image corresponding to the brightness value. The graph construction submodule of the above scheme can establish an alignment relationship between the light intensity value and the basic color value by constructing a knowledge graph, and can provide accurate path mining, providing a basis for subsequent color adjustment, thereby achieving more precise and accurate color matching. The value acquisition submodule accurately finds the corresponding brightness value based on the light intensity value obtained in real time, and provides an accurate brightness value for subsequent color adjustment, thereby achieving accurate color matching and adjustment. The matching execution submodule realizes an image matching the display screen by replacing the basic color values ​​in the brightness value; according to the preset color adjustment strategy, it adjusts the brightness of the color in the display screen to achieve the desired color effect and provide a more accurate and realistic visual performance.

[0032] To sum up, the specific processing of the graph construction submodule, the value acquisition submodule and the matching execution submodule in the color matching module of this embodiment can achieve the alignment and matching of light intensity values ​​with basic color values ​​through the construction of knowledge graphs, path mining and value replacement, thereby providing accurate brightness values ​​and matching images for color adjustment, and achieving more precise and realistic color performance.

[0033] Example 4: Figure 4 As shown, based on Example 3, the graph construction submodule of the embodiment of the present invention includes: The first construction unit is responsible for mapping the light intensity values ​​and basic color values ​​in the knowledge graph to the vector space, obtaining the light intensity values ​​and the basic color values, obtaining the corresponding vector of the intermediate relationship between the light intensity values ​​and the basic color values, and constructing the first loss function term of the intrinsic structural information of the knowledge graph; The second construction unit is responsible for obtaining the loss function item corresponding to the aligned light intensity value in the knowledge graph by using the linear mapping function; the alignment degree of the two knowledge graphs is measured by calculating the distance between the light intensity values ​​of the two knowledge graphs and the known alignment relationship in the basic color values, and the second loss function item corresponding to the aligned light intensity value in the knowledge graph is calculated; The third construction unit is responsible for obtaining the third loss function term of the corresponding knowledge graph internal relationship by aligning nodes and intermediate relationships; combining the first loss function term, the second loss function term and the third loss function term to obtain the overall loss function of the knowledge graph.

[0034] The working principle and beneficial effects of the above technical solution are as follows: the first construction unit of this embodiment maps the light intensity values ​​and basic color values ​​in the knowledge graph to the vector space, obtains the light intensity values ​​and basic color values, obtains the corresponding vector of the intermediate relationship between the light intensity values ​​and the basic color values, and constructs the first loss function item of the intrinsic structural information of the knowledge graph; the second construction unit uses a linear mapping function to obtain the loss function item corresponding to the aligned light intensity values ​​in the knowledge graph; by calculating the distance between the known aligned relationships between the light intensity values ​​and the basic color values ​​of the two knowledge graphs, the alignment degree of the two knowledge graphs is measured, and the second loss function item corresponding to the aligned light intensity values ​​in the knowledge graph is calculated; the third construction unit uses the alignment nodes and the intermediate relationships to obtain the third loss function item of the corresponding knowledge graph intrinsic relationship; the first loss function item, the second loss function item and the third loss function item are combined to obtain the overall loss function of the knowledge graph. The first construction unit of the above scheme can calculate and compare the light intensity values ​​and the basic color values ​​in the vector space by mapping them to the vector space; the intrinsic relationship between the light intensity values ​​and the basic color values ​​is obtained, providing a basis for subsequent graph construction. The second construction unit can obtain the loss function item corresponding to the alignment light intensity value in the knowledge graph through the linear mapping function; by calculating the distance, the degree of alignment between the two knowledge graphs can be measured, thereby evaluating the accuracy and consistency of the graphs. The third construction unit can comprehensively consider the accuracy and consistency of the alignment nodes and intermediate relationships by obtaining the loss function item of the corresponding knowledge graph internal relationship; combining the first, second and third loss function items can obtain a more comprehensive and accurate knowledge graph loss function, providing guidance for subsequent training and optimization.

[0035] Among them, the first loss function term: the first loss function term is to map the light intensity values ​​and basic color values ​​in the knowledge graph to the vector space, obtain their corresponding vectors, and calculate the difference between these vectors. Specifically, the first loss function term measures the degree of alignment of the intermediate relationship between the light intensity values ​​and the basic color values ​​in the knowledge graph. The second loss function term: the second loss function term is to map the aligned light intensity values ​​in the knowledge graph to the target knowledge graph by using a linear mapping function, and calculate the distance between the known aligned light intensity values ​​in the two knowledge graphs. The second loss function term measures the degree of alignment between the two knowledge graphs in terms of light intensity values. The third loss function term: the third loss function term is to obtain the corresponding knowledge graph internal relationship by aligning the nodes and the intermediate relationship, and calculate the difference between these relationships. The third loss function term measures the degree of alignment between the nodes in the knowledge graph and the consistency of the relationship. These three loss function terms respectively measure the degree of alignment and consistency of different aspects in the knowledge graph. By combining these loss function terms, the overall knowledge graph loss function can be obtained.

[0036] To summarize, the first, second, and third construction units in the graph construction submodule of this embodiment are respectively responsible for mapping light intensity values ​​and basic color values ​​to the vector space, obtaining the loss function terms corresponding to the aligned light intensity values, and obtaining the corresponding loss function terms of the intrinsic relationship of the knowledge graph; through the cooperation of these units, an accurate and consistent knowledge graph can be constructed, and guidance can be provided for subsequent training and optimization, thereby achieving the task of aligning light intensity values ​​with basic color values.

[0037] Example 5: Figure 5 As shown, based on Example 4, the third building unit provided in this embodiment of the present invention includes: The coefficient definition subunit is responsible for defining the weight coefficient of each loss function item. The larger the weight coefficient, the higher the importance of the corresponding loss function item. For each loss function item, the corresponding loss value is calculated. The loss value is obtained through the output or intermediate results of each construction unit. The weighted summation subunit is responsible for multiplying the loss value of each loss function item by its corresponding weight coefficient to obtain the weighted loss item value; The item value addition subunit is responsible for adding the weighted loss item values ​​to obtain the overall loss function, which reflects the combined impact of each loss function item.

[0038] The working principle and beneficial effects of the above technical solution are as follows: the coefficient definition subunit of this embodiment defines the weight coefficient of each loss function item, and the larger the weight coefficient is, the higher the importance of the corresponding loss function item is; for each loss function item, the corresponding loss value is calculated; the loss value is obtained through the output or intermediate result of each construction unit; the weighted summation subunit multiplies the loss value of each loss function item by its corresponding weight coefficient to obtain the weighted loss item value; the item value addition subunit adds the weighted loss item values ​​to obtain the overall loss function, and the overall loss function reflects the comprehensive influence of each loss function item. The coefficient definition subunit of the above scheme can flexibly adjust the importance of different loss function items by defining the weight coefficient, so as to more accurately reflect the relative importance of each loss function item in the overall loss function; according to the needs of the problem and the optimization goal, the training and optimization process of the model can be better guided. The loss value calculation subunit can obtain the specific value of each loss function item in the current model by calculating the loss value, and the loss value can be used for subsequent weighted summation and calculation of the overall loss function. The weighted summation subunit can adjust the importance of each loss function item according to the weight coefficient through weighted summation, and further integrate the contribution of each loss function item to obtain a comprehensive loss function item; it can more accurately reflect the influence of each loss function item on the model and guide the training and optimization of the model. The item value addition subunit can summarize the weighted loss item values ​​into an overall loss function by adding item values. This function can comprehensively consider the contribution of each loss function item and provide a unified objective function for model training and optimization.

[0039] Example 6: Figure 6 As shown, based on Example 3, the numerical value acquisition submodule provided in this embodiment of the present invention includes: The path confirmation unit is responsible for determining the starting point and end point of path mining. The starting point is the light intensity value node, and the end point is the brightness value node. The depth-first search starts from the starting point and the path exploration is carried out according to the search strategy. In each step, the next node to be explored is selected according to the current node and the traversed path. The search execution unit is responsible for determining whether the end point has been reached during the search process. If the current node is a brightness value node, a path from the light intensity value to the brightness value is found; the traversed paths are recorded and the path information is stored in a list; if there are still unexplored nodes, the search continues according to the search strategy until all paths are found or the termination condition is reached; The result output unit is responsible for outputting the found path as the result after the search is completed. The path describes the alignment relationship between the light intensity value and the brightness value.

[0040] The working principle and beneficial effects of the above technical solution are as follows: the path confirmation unit of this embodiment determines the starting point and end point of path mining, the starting point is the light intensity value node, and the end point is the brightness value node; depth-first search is used to start from the starting point and perform path exploration according to the search strategy; in each step, the next node to be explored is selected according to the current node and the path that has been traversed; the search execution unit determines whether the end point has been reached during the search process. If the current node is a brightness value node, a path from the light intensity value to the brightness value is found; the traversed path is recorded and the path information is stored in a list; if there are still unexplored nodes, the search continues according to the search strategy until all paths are found or the termination condition is reached; the result output unit outputs the found path as a result after the search is completed, and the path describes the alignment relationship between the light intensity value and the brightness value. The path confirmation unit of the above scheme ensures that the path mining starts from the correct starting point and ends at the correct end point, and selects a suitable search strategy according to the problem requirements to ensure the accuracy and efficiency of the path mining. The search execution unit monitors the progress of the path mining in real time during the search process to ensure that the path to the end point is discovered and recorded in time, and continues to explore according to the specified search strategy to ensure the comprehensiveness and efficiency of the search. The result output unit provides the final path result, associates the light intensity value with the corresponding brightness value, provides accurate matching information for subsequent color matching tasks, and ensures the reliability and practicality of the matching results.

[0041] In summary, each unit of this embodiment is to ensure that the entire value acquisition submodule can successfully complete the alignment task between the light intensity value and the basic color value; by accurately determining the path, effectively performing the search, and accurately outputting the results, this submodule can provide the color matching module with an accurate correspondence between light intensity and color, thereby achieving the goal of color matching. Through the above process, path mining can be performed from the knowledge graph to find the brightness value aligned with the light intensity value; path mining can be adjusted and optimized according to specific search strategies and problem requirements to obtain more accurate path results.

[0042] Example 7: Figure 7 As shown, based on Example 6, the path confirmation unit provided in this embodiment of the present invention includes: The node marking subunit is responsible for marking the light intensity value node as visited; The node selection subunit is responsible for selecting an adjacent unvisited node as the next node to be explored; if there is an unvisited adjacent node, it goes to that node and marks it as visited, and then recursively performs a depth-first search; if all adjacent nodes have been visited, it backtracks to the previous node and continues to select the next unvisited node for exploration; The node traversal subunit is responsible for repeatedly visiting unvisited nodes until the brightness value node is found or all possible paths are traversed.

[0043] The working principle and beneficial effects of the above technical solution are as follows: the node marking subunit of this embodiment starts from the light intensity value node and marks it as visited; the node selection subunit selects an adjacent unvisited node as the next node to be explored; if there is an unvisited adjacent node, go to the node and mark it as visited, and then recursively perform a depth-first search; if all adjacent nodes have been visited, backtrack to the previous node and continue to select the next unvisited node for exploration; the node traversal subunit repeatedly visits unvisited nodes until the brightness value node is found or all possible paths are traversed. The node marking subunit of the above scheme ensures that each node is visited only once to avoid repeated exploration, and records the nodes that have been visited so as to make judgments and backtracking in the subsequent search process. The node selection subunit selects appropriate nodes to continue exploring according to the depth-first search strategy to ensure the comprehensiveness and depth of path mining; at the same time, the visited nodes are marked to avoid repeated visits. The node traversal subunit ensures the comprehensiveness of the search by continuously traversing the nodes, ensuring that the brightness value node that aligns with the light intensity value is found; during the traversal process, judgment and backtracking are performed to find all possible paths.

[0044] To sum up, the technical effects and significance of these sub-units in this embodiment are to ensure that the path confirmation unit can perform path exploration according to the depth-first search strategy and find the brightness value node that is aligned with the light intensity value; through the combination of node marking, node selection and node traversal, the accuracy and efficiency of the search can be ensured, and accurate path information can be provided for the subsequent result output unit.

[0045] Example 8: Figure 8 As shown, based on Example 3, the matching execution submodule provided in this embodiment of the present invention includes: The matching execution unit is responsible for obtaining the corresponding basic color value based on the brightness value aligned with the light intensity value found by path mining; The value removal unit is responsible for traversing each pixel of the brightness value for each basic color, and according to the matching color value, removing its value from the brightness value and replacing it with the matching basic color value; The image generation unit is responsible for obtaining a display screen matching image corresponding to the matched brightness value after completing the replacement operation; the display screen matching image retains the structure of the original brightness value, but the color information has been adjusted according to the results of path mining to achieve the goal of color matching.

[0046] The working principle and beneficial effects of the above technical solution are as follows: the matching execution unit of this embodiment can align the light intensity value with the basic color value, and provide accurate matching information for subsequent value removal and image generation. The value removal unit applies the matched basic color value to the brightness value to achieve color matching. Through the removal and replacement operations, the color information in the brightness value can be updated to correspond to the matched basic color value. The image generation unit obtains the final display screen matching image, which can show the basic color value aligned with the light intensity value; it is crucial for the color matching task because it can ensure that the color on the display screen matches the input light intensity value and provide accurate color display.

[0047] In summary, this embodiment can achieve the goal of replacing the values ​​of the basic colors in the original brightness values ​​with the values ​​of the basic colors in the brightness values ​​through the combination of the matching execution unit, the value removal unit and the image generation unit; a visual matching image will be provided to display accurate color information aligned with the light intensity values, providing accurate results for color matching and display tasks.

[0048] Example 9: Fig. 9 As shown, based on Example 1, the illumination feedback module provided by the embodiment of the present invention includes: The cycle confirmation submodule is responsible for obtaining the previous collection cycle and the next collection cycle at the same time. When the next collection cycle arrives, the light sensing sensor is started to collect the light intensity of the environment around the display screen. The intensity comparison submodule is responsible for comparing the new light intensity with the light intensity of the previous acquisition cycle. When the comparison result exceeds the acquisition threshold, the light intensity analog signal processing program is started; otherwise, it continues to wait for the arrival of the next acquisition cycle. The adjustment execution submodule is responsible for starting the processing program of the analog signal of the light intensity, processing the analog signal, and adjusting the color of the display screen according to the processing result.

[0049] The working principle and beneficial effects of the above technical solution are as follows: the cycle confirmation submodule of this embodiment obtains the previous acquisition cycle and the next acquisition cycle at the same time, and when the next acquisition cycle arrives, the light sensing sensor is started to collect the light intensity of the environment around the display screen; the intensity comparison submodule compares the new light intensity with the light intensity of the previous acquisition cycle, and when the comparison result exceeds the acquisition threshold, the light intensity analog signal processing program is started; otherwise, it continues to wait for the arrival of the next acquisition cycle; the adjustment execution submodule starts the light intensity analog signal processing program to process the analog signal; and adjusts the color of the display screen according to the processing result. The cycle confirmation submodule of the above scheme ensures that the light intensity is collected according to the preset cycle to maintain the accuracy and stability of the light intensity detection. The intensity comparison submodule is used to judge the change of the ambient light intensity. If the change exceeds the threshold, the light intensity analog signal processing program is started to adjust the light; otherwise, it continues to wait for the arrival of the next acquisition cycle to avoid frequent adjustment operations. The adjustment execution submodule performs actual color adjustment operations according to changes in light intensity. By processing the analog signal of light intensity, it adjusts the brightness and color of the display screen to match it with the ambient light and provide the best visual effect.

[0050] In summary, in this embodiment, through the combination of the periodic confirmation submodule, the intensity comparison submodule and the adjustment execution submodule, the illumination feedback module can obtain the change of the ambient light intensity in real time, and make corresponding color adjustments according to the changes; it can ensure that the LED display always presents the color that matches the ambient light intensity, providing a better visual experience. At the same time, through a reasonable adjustment strategy, energy can be saved and the service life of the display can be extended. Through the above, the light intensity of the surrounding environment can be re-detected in real time and adjusted according to the new light intensity value; the color of the LED display can always match the ambient light, providing the best visual effect.

[0051] Example 10: Fig.10 As shown, based on Embodiments 1 to 9, the color adjustment method of an LED display screen based on ambient light perception provided by the embodiment of the present invention comprises the following steps: S100: Detecting the light intensity of the environment around the display screen through a light sensing sensor to obtain an analog signal of the light intensity, and converting the analog signal into a digital signal through an analog-to-digital converter, that is, obtaining a light intensity value corresponding to the analog signal; S200: Based on the light intensity value, according to a preset color adjustment strategy, calculate the brightness values ​​of three basic colors of red, green and blue that match the light intensity value; and adjust the color on the display screen according to the brightness value; S300: Re-detect the light intensity of the surrounding environment in real time according to the light intensity collection cycle, and make adjustments according to the new light intensity value.

[0052] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the light intensity of the environment around the display screen is first detected by a light sensing sensor to obtain an analog signal of the light intensity, and the analog signal is converted into a digital signal by an analog-to-digital converter, that is, a light intensity value corresponding to the analog signal is obtained; secondly, based on the light intensity value, according to the preset color adjustment strategy, the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value are calculated; according to the brightness value, the color in the display screen is adjusted; finally, according to the light intensity acquisition cycle, the light intensity of the surrounding environment is re-detected in real time, and adjusted according to the new light intensity value. Step S100 of the above scheme obtains the light intensity information of the environment to provide basic data for subsequent color adjustment; by obtaining accurate light intensity values, reasonable color adjustment can be performed according to the ambient lighting conditions to provide better visual effects. Step S200 performs color matching and adjustment according to the light intensity value to match the color of the display screen with the ambient lighting; by accurately calculating and adjusting the brightness value, accurate color presentation can be achieved to provide a more realistic, vivid and comfortable visual experience. Step S300 adjusts the color of the display screen in real time according to the change of ambient light. By periodically re-detecting the light intensity and adjusting it in time, it can ensure that the color of the display screen keeps matching with the change of ambient light, providing the best visual effect and comfort.

[0053] In summary, through the combination of the above steps, the color adjustment method of the LED display screen based on ambient light perception in this embodiment can adjust the color of the display screen in real time according to the change of ambient light, so that it matches the surrounding environment. This can provide a more accurate, realistic and comfortable color display and enhance the user's visual experience. At the same time, through reasonable color adjustment, energy can be saved and the service life of the display screen can be extended.

[0054] Embodiment 11: Based on Embodiment 10, the process of obtaining the light intensity value provided by the embodiment of the present invention comprises the following steps: S101: obtaining a function program for the analog-to-digital converter to call an analog signal, and at the same time issuing an instruction to establish normal communication with the light sensing sensor, and determining whether the communication status is normal. If normal, the analog signal collected by the light sensor is called through the function program, and if abnormal, a warning is issued; S102: according to the set collection cycle, start the light perception sensor to collect the light intensity of the environment around the display screen, obtain multiple light intensity analog signals in the same collection cycle, and judge whether the multiple light intensity analog signals can trigger the color adjustment strategy. When more than 70% of the multiple analog signals can trigger the color adjustment strategy, the analog signals exceeding 70% are screened out and sent to the analog-to-digital converter; otherwise, in the next collection cycle, start the light perception sensor to collect the light intensity of the environment around the display screen; S103: receiving the filtered analog signals, sorting the analog signals from the maximum value to the minimum value according to their amplitudes, screening out 2 / 3 of the analog signals from the sorted analog signals, and converting the analog signals into corresponding light intensity values ​​through an analog-to-digital converter.

[0055] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the function program of the analog-to-digital converter calling the analog signal is first obtained, and at the same time, an instruction to establish normal communication with the light sensing sensor is issued to determine whether the communication status is normal. If normal, the analog signal collected by the light sensor is called through the function program. If abnormal, a warning is issued; secondly, according to the set collection cycle, the light sensing sensor is started to collect the light intensity of the environment around the display screen, and multiple analog signals of light intensity in the same collection cycle are obtained. The multiple light intensity analog signals are judged whether they can trigger the color adjustment strategy. When more than 70% of the multiple analog signals can trigger the color adjustment strategy, more than 70% of the analog signals are screened out and sent to the analog-to-digital converter; otherwise, in the next collection cycle, the light sensing sensor is started to collect the light intensity of the environment around the display screen; finally, the screened analog signals are received, and the analog signals are sorted from the maximum value to the minimum value according to the amplitude of the analog signals, 2 / 3 of the analog signals are screened out from the sorted analog signals, and the analog signals are converted into corresponding light intensity values ​​through the analog-to-digital converter. Step S101 of the above scheme ensures normal communication with the light sensing sensor to obtain the correct analog signal; if the communication status is abnormal, a warning can be issued to remind the system operation and maintenance personnel to perform repairs and adjustments to ensure the accurate acquisition of the light intensity value. Step S102 obtains multiple light intensity analog signals and determines whether color adjustment is required; by determining the number of analog signals that can trigger the color adjustment strategy, it can be determined whether color adjustment is required, avoiding frequent adjustment operations and improving the efficiency and stability of the system. Step S103 converts the screened analog signals into light intensity values; by sorting and screening the analog signals, a relatively accurate light intensity value can be obtained and provided for subsequent color adjustment operations to ensure the accuracy and stability of color adjustment.

[0056] In summary, this embodiment can ensure accurate acquisition of light intensity values ​​through the combination of the above steps. Accurate light intensity values ​​can be used for color calculation and adjustment based on a preset color adjustment strategy, so that the color of the display screen matches the surrounding environment; it can provide a more realistic, comfortable and high-quality visual experience, and through reasonable color adjustment, it can also save energy and extend the service life of the display screen.

[0057] Embodiment 12: Based on Embodiment 10, the process of adjusting the color in the display screen provided in the embodiment of the present invention comprises the following steps: S201: construct a knowledge graph of light intensity values ​​and basic color values. The knowledge graph uses a loss function to train the parameters of the loss function items, and completes the path mining in the knowledge graph, thereby completing the alignment task of the light intensity values ​​and the basic color values. S202: Obtain a light intensity value, input it into a color adjustment strategy, and find a brightness value aligned with the light intensity value through path mining of the constructed knowledge graph; S203: replacing the values ​​of the basic colors in the original brightness values ​​with the values ​​of the basic colors in the brightness values, to obtain a display screen matching image corresponding to the brightness values.

[0058] The working principle and beneficial effects of the above technical solution are as follows: the present embodiment first constructs a knowledge graph of light intensity values ​​and basic color values, and the knowledge graph uses a loss function to train the loss function item parameters, and constructs a path mining in the knowledge graph, thereby completing the alignment task of the light intensity values ​​and the basic color values; secondly, the light intensity value is obtained and input into the color adjustment strategy, and the brightness value aligned with the light intensity value is found through the path mining of the constructed knowledge graph; finally, the basic color value in the brightness value is replaced by the basic color value in the original brightness value, and the display screen matching image corresponding to the brightness value is obtained. Step S201 of the above scheme establishes a corresponding relationship between the light intensity value and the basic color value, so that the system can accurately infer the corresponding basic color value according to the light intensity value; by training the loss function item parameters and path mining, the matching precision and accuracy of the light intensity value and the basic color value can be improved. Step S202 finds the corresponding brightness value according to the light intensity value; through path mining, the system can accurately infer the brightness value matching the light intensity value, and provide accurate basic data for subsequent color adjustment. Step S203 adjusts the color in the display screen according to the basic color values ​​in the brightness value so that it matches the display screen image corresponding to the brightness value; by replacing the basic color values ​​in the brightness value, accurate color adjustment can be achieved so that the color of the display screen matches the ambient light intensity, providing a more realistic, vivid and comfortable visual experience.

[0059] In summary, this embodiment can accurately adjust the color of the display screen through the combination of the above steps; by constructing and training the knowledge graph, the corresponding relationship between the light intensity value and the basic color value can be established; through path mining, the brightness value aligned with the light intensity value can be found; through color adjustment, the color of the display screen can be adjusted according to the brightness value to match the ambient light intensity; it can provide a more accurate, realistic, and comfortable color display to enhance the user's visual experience. At the same time, through reasonable color adjustment, energy can be saved and the service life of the display screen can be extended.

[0060] Embodiment 13: Based on Embodiment 10, the process of re-detecting the light intensity of the surrounding environment in real time provided by the embodiment of the present invention comprises the following steps: S301: Obtain the previous collection cycle and the next collection cycle at the same time, and when the next collection cycle arrives, start the light sensing sensor to collect the light intensity of the environment around the display screen; S302: Compare the new light intensity with the light intensity of the previous acquisition cycle. When the comparison result exceeds the acquisition threshold, start the light intensity analog signal processing program; otherwise, continue to wait for the arrival of the next acquisition cycle; S303: a processing procedure for the analog signal of the dynamic light intensity, processing the analog signal; and adjusting the color of the display screen according to the processing result.

[0061] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first obtains the previous collection cycle and the next collection cycle at the same time. When the next collection cycle arrives, the light sensing sensor is started to collect the light intensity of the environment around the display screen; secondly, the new light intensity is compared with the light intensity of the previous collection cycle. When the comparison result exceeds the collection threshold, the light intensity analog signal processing program is started; otherwise, continue to wait for the arrival of the next collection cycle; finally, the light intensity analog signal processing program is started to process the analog signal; and the color of the display screen is adjusted according to the processing result. Step S301 of the above scheme ensures that the light intensity is collected according to the preset cycle to maintain the accuracy and stability of the light intensity detection; by starting the collection operation on time, the timeliness and reliability of the ambient light intensity data are ensured. Step S302 light intensity comparison and threshold judgment are used to detect the change of ambient light intensity; when the change of light intensity exceeds the preset threshold, the light intensity analog signal processing program is started to perform corresponding color adjustment to keep the visual effect of the display screen stable. Step S303 light intensity analog signal processing and color adjustment is used to adjust the color of the display screen in real time according to the change of light intensity to keep it matching the surrounding environment; by processing the analog signal and adjusting the color, the best visual effect and comfort are provided.

[0062] In summary, this embodiment realizes real-time detection and adjustment of the ambient light intensity through the combination of the above steps, thereby ensuring the accuracy and stability of the display color and improving the user's visual experience. At the same time, a reasonable adjustment strategy also helps save energy and extend the service life of the display.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of equivalent technologies of the present invention, the present invention is also intended to include these modifications and variations.

Claims

1. A LED display screen color adjustment system based on ambient light perception, characterized in that: Include: The signal acquisition module is responsible for detecting the light intensity of the environment around the display screen through the light sensing sensor, obtaining an analog signal of the light intensity, and converting the analog signal into a digital signal through an analog-to-digital converter, that is, obtaining the light intensity value corresponding to the analog signal; The color matching module is responsible for calculating the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value based on the light intensity value and according to the preset color adjustment strategy; Adjust the color on the display screen according to the brightness value; The light feedback module is responsible for re-detecting the light intensity of the surrounding environment in real time according to the light intensity collection cycle, and making adjustments based on the new light intensity value.

2. The LED display screen color adjustment system based on ambient light perception according to claim 1, characterized in that: Signal acquisition module, including: The state judgment submodule is responsible for obtaining the function program of the analog-to-digital converter to call the analog signal, and at the same time issuing instructions to establish normal communication with the light sensing sensor to determine whether the communication status is normal. If normal, the analog signal collected by the light sensor is called through the function program. If abnormal, a warning is issued; The trigger execution submodule is responsible for starting the light sensing sensor to collect the light intensity of the environment around the display screen according to the set collection cycle, obtaining multiple light intensity analog signals in the same collection cycle, and judging whether the multiple light intensity analog signals can trigger the color adjustment strategy. When more than 70% of the multiple analog signals can trigger the color adjustment strategy, the analog signals exceeding 70% are screened out and sent to the analog-to-digital converter; Otherwise, in the next collection cycle, the light sensing sensor is started to collect the light intensity of the environment around the display screen; The signal sorting submodule is responsible for receiving the filtered analog signals, sorting them from the maximum to the minimum according to their amplitudes, screening out 2 / 3 of the analog signals from the sorted analog signals, and converting the analog signals into corresponding light intensity values ​​through an analog-to-digital converter.

3. The LED display screen color adjustment system based on ambient light perception according to claim 1, characterized in that: Color matching module, including: The graph construction submodule is responsible for constructing the knowledge graph of light intensity values ​​and basic color values. The knowledge graph uses the loss function to train the loss function item parameters and complete the path mining in the knowledge graph, thereby completing the alignment task of light intensity values ​​and basic color values. The value acquisition submodule is responsible for obtaining the light intensity value and inputting it into the color adjustment strategy. Through path mining of the constructed knowledge graph, the brightness value aligned with the light intensity value is found. The matching execution submodule is responsible for replacing the basic color values ​​in the original brightness value with the basic color values ​​in the brightness value to obtain a display screen matching image corresponding to the brightness value.

4. The LED display screen color adjustment system based on ambient light perception as claimed in claim 3, characterized in that: The graph construction submodule includes: The first construction unit is responsible for mapping the light intensity values ​​and basic color values ​​in the knowledge graph to the vector space, obtaining the light intensity values ​​and the basic color values, obtaining the corresponding vector of the intermediate relationship between the light intensity values ​​and the basic color values, and constructing the first loss function term of the intrinsic structural information of the knowledge graph; The second construction unit is responsible for obtaining the loss function item corresponding to the aligned light intensity value in the knowledge graph by using the linear mapping function; the alignment degree of the two knowledge graphs is measured by calculating the distance between the light intensity values ​​of the two knowledge graphs and the known alignment relationship in the basic color values, and the second loss function item corresponding to the aligned light intensity value in the knowledge graph is calculated; The third construction unit is responsible for obtaining the third loss function term of the corresponding knowledge graph internal relationship by aligning nodes and intermediate relationships; combining the first loss function term, the second loss function term and the third loss function term to obtain the overall loss function of the knowledge graph.

5. The LED display screen color adjustment system based on ambient light perception as claimed in claim 4, characterized in that: The third building block comprises: The coefficient definition subunit is responsible for defining the weight coefficient of each loss function item. The larger the weight coefficient, the higher the importance of the corresponding loss function item. For each loss function item, the corresponding loss value is calculated. The loss value is obtained through the output or intermediate results of each construction unit. The weighted summation subunit is responsible for multiplying the loss value of each loss function item by its corresponding weight coefficient to obtain the weighted loss item value; The item value addition subunit is responsible for adding the weighted loss item values ​​to obtain the overall loss function, which reflects the combined impact of each loss function item.

6. The LED display screen color adjustment system based on ambient light perception as claimed in claim 3, characterized in that: The value acquisition submodule includes: The path confirmation unit is responsible for determining the starting point and end point of path mining. The starting point is the light intensity value node, and the end point is the brightness value node. The depth-first search starts from the starting point and the path exploration is carried out according to the search strategy. In each step, the next node to be explored is selected according to the current node and the traversed path. The search execution unit is responsible for determining whether the end point has been reached during the search process. If the current node is a brightness value node, a path from the light intensity value to the brightness value is found; the traversed paths are recorded and the path information is stored in a list; if there are still unexplored nodes, the search continues according to the search strategy until all paths are found or the termination condition is reached; The result output unit is responsible for outputting the found path as the result after the search is completed. The path describes the alignment relationship between the light intensity value and the brightness value.

7. The LED display screen color adjustment system based on ambient light perception as claimed in claim 6, characterized in that: Path confirmation unit, including: The node marking subunit is responsible for marking the light intensity value node as visited; The node selection subunit is responsible for selecting an adjacent unvisited node as the next node to be explored; if there is an unvisited adjacent node, it goes to that node and marks it as visited, and then recursively performs a depth-first search; if all adjacent nodes have been visited, it backtracks to the previous node and continues to select the next unvisited node for exploration; The node traversal subunit is responsible for repeatedly visiting unvisited nodes until the brightness value node is found or all possible paths are traversed.

8. The LED display screen color adjustment system based on ambient light perception as claimed in claim 3, characterized in that: Match execution submodule, including: The matching execution unit is responsible for obtaining the corresponding basic color value based on the brightness value aligned with the light intensity value found by path mining; The value removal unit is responsible for traversing each pixel of the brightness value for each basic color, and according to the matching color value, removing its value from the brightness value and replacing it with the matching basic color value; The image generation unit is responsible for obtaining a display screen matching image corresponding to the matched brightness value after completing the replacement operation; the display screen matching image retains the structure of the original brightness value, but the color information has been adjusted according to the results of path mining to achieve the goal of color matching.

9. The LED display screen color adjustment system based on ambient light perception as claimed in claim 1, characterized in that: Lighting feedback module, including: The cycle confirmation submodule is responsible for obtaining the previous collection cycle and the next collection cycle at the same time. When the next collection cycle arrives, the light sensing sensor is started to collect the light intensity of the environment around the display screen. The intensity comparison submodule is responsible for comparing the new light intensity with the light intensity of the previous acquisition cycle. When the comparison result exceeds the acquisition threshold, the light intensity analog signal processing program is started; Otherwise, continue to wait for the arrival of the next collection cycle; The regulation execution submodule is responsible for starting the processing program of the analog signal of the light intensity and processing the analog signal; And adjust the color of the display screen according to the processing results.

10. A method for adjusting the color of an LED display screen based on ambient light perception, characterized in that: The following steps are involved: The light intensity of the environment around the display screen is detected by a light sensing sensor to obtain an analog signal of the light intensity, and the analog signal is converted into a digital signal by an analog-to-digital converter, that is, a light intensity value corresponding to the analog signal is obtained; Based on the light intensity value, according to the preset color adjustment strategy, the brightness values ​​of the three basic colors of red, green and blue that match the light intensity value are calculated; and the color in the display screen is adjusted according to the brightness value; According to the light intensity collection cycle, the light intensity of the surrounding environment is re-detected in real time and adjusted according to the new light intensity value.

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