Method and system for controlling LED backlight brightness by partition based on multiple sensors

Abstract

The invention discloses a method and system for controlling LED backlight brightness by partitions based on multiple sensors, and relates to the field of lighting technology. When the system is running, light information is collected and data processed by a light collection module and a data processing module to form an abnormal area information set. An abnormal area light model is established according to the abnormal area information set by an abnormal detection module, and after training and statistics, the following is obtained: a partition light anomaly coefficient Ycxs, so as to accurately quantify the degree of light anomaly of the abnormal area information set. A partition light anomaly adjustment threshold T preset by a dynamic adjustment module is matched to obtain a screen partition screen light anomaly adjustment scheme, so as to achieve dynamic light adjustment, ensure the consistency of display effects of each partition, and optimize the visual experience of the audience. Finally, a feedback monitoring module is used to ensure the implementation and effect of the adjustment measures, and a data closed loop is formed to continuously optimize the adjustment strategy and enhance the adaptive ability of the system.

Description

Technical Field

[0001] The present invention relates to the field of lighting technology, and in particular to a method and system for controlling LED backlight brightness by partitions based on multiple sensors. Background Art

[0002] As the design of modern shopping malls pays more and more attention to openness and transparency, many shopping malls have adopted glass domes and open layouts, bringing in a lot of natural light. Although these design elements enhance the visual appeal and overall beauty of the mall, they also cause some practical problems. The glass dome allows direct sunlight to come in, and the light intensity changes with the position of the sun throughout the day, resulting in an extremely unstable lighting environment inside the mall. At the same time, the shops and activity stages inside the mall are equipped with artificial lights of various intensities and colors. The number of these light sources is large and the arrangement is complex. In addition, the lighting of different activities and shops changes frequently, making the lighting environment of the entire mall more complex and changeable. Such a diverse lighting environment poses a huge challenge to the large-screen display effect in the mall.

[0003] Among them, traditional large-screen brightness control is usually global and difficult to adapt to the impact of local lighting changes. When natural light and artificial light are intertwined, causing lighting unevenness and intensity changes, some areas of the large screen may have problems with excessive or low brightness, which will not only affect the audience's viewing experience, but also may cause the content on the screen to not be displayed clearly. For example, the screen in the area of ​​strong light may become too bright and white, while the shadow part may appear too dim. This uneven brightness will distort the displayed content and make text and images difficult to recognize. Therefore, how to maintain clear and consistent display of the large screen in a complex lighting environment has become an urgent problem to be solved. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for controlling LED backlight brightness by partition based on multiple sensors, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-sensor based zone control LED backlight brightness system, including a light acquisition module, a data processing module, an abnormality detection module, a dynamic adjustment module and a feedback monitoring module;

[0006] The illumination acquisition module acquires ambient illumination information, information about the light directly incident on the screen, and angle information in real time through a number of sensors to form an ambient illumination information group;

[0007] The data processing module preprocesses and extracts the ambient light information group, the preprocessing includes data filtering, data cleaning and format conversion, the extraction includes extracting the abnormal light area by analyzing the light intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information, and synchronously marking the number of abnormal areas as: the total number of abnormal areas Yczs, forming an abnormal area information set;

[0008] The abnormality detection module establishes an abnormal area illumination model according to the abnormal area information set, and obtains after training and statistics: a partition illumination abnormality coefficient Ycxs;

[0009] The dynamic adjustment module matches the partition illumination anomaly coefficient Ycxs with the preset partition illumination anomaly adjustment threshold T, obtains the screen illumination anomaly adjustment scheme for the screen partitions, and modifies the screen illumination anomaly adjustment scheme for the screen partitions according to the total number of abnormal regions Yczs;

[0010] The feedback monitoring module is specifically executed according to the content of the screen partition screen illumination abnormality adjustment plan, and records the adjusted brightness data and display effect, and feeds back to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

[0011] Preferably, the illumination collection module includes a collection unit and a communication unit;

[0012] The acquisition unit collects ambient light information, light information directly incident on the screen and angle information through a plurality of sensors integrated on the screen, the sensors including ambient light sensors, photosensitive sensors and position sensors, forming an ambient light information group;

[0013] Among them, the ambient lighting information includes the ambient light intensity and the ambient light direction angle, the lighting information includes the direct light intensity, light source type and duration, and the angle information includes the ambient light entering the screen angle and the light entering the screen angle;

[0014] The communication unit transmits the real-time collected ambient light information group to the data processing module via a wireless network or a wired network.

[0015] Preferably, the data processing module includes a preprocessing unit and an extraction unit;

[0016] The preprocessing unit preprocesses the ambient lighting information group, and the preprocessing includes data filtering, data cleaning and format conversion;

[0017] The extraction unit extracts the processed ambient lighting information group, including identifying the abnormal lighting area by analyzing the lighting intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information, synchronously marking the number of abnormal areas as: the total number of abnormal areas Yczs, accumulating the lighting duration information of the current partition screen for the partition screen: the real-time cumulative lighting duration value Sc, marking the real-time lighting intensity of the ambient light, marking the maximum and minimum values ​​that appear as: the maximum ambient light intensity Hjgmax and the minimum ambient light intensity Hjgmin, forming an abnormal area information set;

[0018] The abnormal area information set includes the total number of abnormal areas Yczs, the real-time cumulative duration of lighting exposure Sc, the maximum ambient light intensity Hjgmax, the minimum ambient light intensity Hjgmin, the ambient light intensity value Hjg, the maximum light intensity Dgmax, the minimum light intensity Dgmin and the light exposure angle value Dgjd.

[0019] Preferably, the anomaly detection module comprises a modeling unit;

[0020] The modeling unit uses deep learning technology to establish an abnormal area illumination model according to the abnormal area information set, and obtains the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz after training and statistics, and then fits the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz to obtain the partition illumination abnormality coefficient Ycxs;

[0021] The partition illumination anomaly coefficient Ycxs is obtained by the following formula:

[0022] ;

[0023] Wherein, Ycxs represents the partition illumination anomaly coefficient, Dgyz represents the light fluctuation factor, and Hjyz represents the environment fluctuation factor. The light fluctuation factor Dgyz and the environment fluctuation factor Hjyz are used to perform fitting calculations to obtain the abnormal performance of screen partition illumination fluctuation: the partition illumination anomaly coefficient Ycxs.

[0024] Preferably, the light fluctuation factor Dgyz is obtained by the following calculation formula:

[0025] ;

[0026] ;

[0027] In the formula, Dgyz represents the light fluctuation factor, Sc represents the real-time cumulative duration of light exposure, Dgmax represents the maximum light intensity, Dgmin represents the minimum light intensity, Dgavg represents the average light intensity, and Dgjd represents the light exposure angle. Indicates that the partition screen affects the preset value of the light source angle, through the real-time cumulative duration of light exposure Sc, the maximum light intensity Dgmax, the minimum light intensity Dgmin, the light exposure angle value Dgjd and the partition screen affects the preset value of the light source angle Calculate and obtain the abnormal performance of lighting on the partition screen: the lighting fluctuation factor Dgyz.

[0028] Preferably, the environmental fluctuation factor Hjyz is obtained by the following calculation formula:

[0029] ;

[0030] ;

[0031] ;

[0032] In the formula, Hjyz represents the environmental fluctuation factor, Hjgmax represents the maximum value of the ambient light intensity, Hjgmin represents the minimum value of the ambient light intensity, and Hjgavg represents the average value of the ambient light intensity. represents the standard deviation of ambient light intensity, Hjg represents the ambient light intensity value; n represents the number of sampling points of ambient light intensity, i represents the i-th sampling of ambient light intensity; the maximum value of ambient light intensity Hjgmax, the minimum value of ambient light intensity Hjgmin, the average value of ambient light intensity Hjgavg, and the standard deviation of ambient light intensity are obtained. And the calculation of the ambient light intensity value Hjg, obtain the fluctuation of ambient light: the ambient fluctuation factor Hjyz.

[0033] Preferably, the dynamic adjustment module includes a matching unit and a correction unit;

[0034] The matching unit matches the preset relevant information with the required contrast value, including matching the preset partition illumination abnormality adjustment threshold T with the partition illumination abnormality coefficient Ycxs to obtain the screen partition illumination abnormality adjustment scheme;

[0035] The correction unit corrects the screen partition screen illumination anomaly adjustment scheme according to the total number of abnormal regions Yczs to obtain an illumination anomaly correction scheme.

[0036] Preferably, the screen partitioning and screen illumination abnormality adjustment scheme is obtained by the following matching method:

[0037] The partition illumination abnormality coefficient Ycxs is less than the partition illumination abnormality adjustment threshold T, and the screen partition illumination normal assessment scheme is obtained, and the backlight brightness of the partition screen is not adjusted;

[0038] Partition illumination anomaly coefficient Ycxs≥partition illumination anomaly adjustment threshold T, obtain the screen illumination anomaly assessment scheme for the partitioned screen, and adjust the backlight brightness of the partitioned screen;

[0039] The illumination anomaly correction scheme is obtained by the following matching method:

[0040] The total number of abnormal areas Yczs ≥ 10% of the total number of screen partitions. When the screen partition screen illumination abnormality adjustment plan result is: obtain the screen partition screen illumination abnormality assessment plan and adjust the backlight brightness to 110%;

[0041] The total number of abnormal areas Yczs ≥ 20% of the total number of screen partitions. When the screen partition screen illumination abnormality adjustment plan result is: obtain the screen partition screen illumination abnormality assessment plan and adjust the backlight brightness to 130%;

[0042] The total number of abnormal areas Yczs ≥ 40% of the total number of screen partitions. When the screen partition screen lighting abnormality adjustment plan result is: obtain the screen partition screen lighting abnormality assessment plan and adjust the backlight brightness to 150%.

[0043] Preferably, the feedback monitoring module includes an execution unit and a feedback unit;

[0044] The execution unit specifically performs backlight brightness adjustment according to the abnormal illumination adjustment plan, so that the backlight brightness and display parameters of the abnormal illumination partition screen are adjusted as planned, and the adjustment includes specific adjustment of the backlight brightness, contrast, color temperature and local dimming of the partition screen;

[0045] The feedback unit performs adjustments according to the content of the screen partition screen illumination abnormality adjustment plan, records and feeds back the adjusted brightness data and display effect, and provides them to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

[0046] The method for controlling the brightness of LED backlight by partition based on multiple sensors includes the following steps:

[0047] Step 1: The light collection module obtains the ambient light information, the light information directly hitting the screen and the angle information in real time through several sensors to form an ambient light information group;

[0048] Step 2: The data processing module preprocesses and extracts the ambient light information group. The preprocessing includes data filtering, data cleaning and format conversion. The extraction includes extracting the abnormal light area by analyzing the light intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information. The number of abnormal areas is synchronously marked as: the total number of abnormal areas Yczs, which constitutes the abnormal area information set;

[0049] Step 3: The anomaly detection module establishes an abnormal area illumination model based on the abnormal area information set, and obtains the partition illumination anomaly coefficient Ycxs after training and statistics;

[0050] Step 4: The dynamic adjustment module matches the partition illumination anomaly coefficient Ycxs with the preset partition illumination anomaly adjustment threshold T to obtain the screen illumination anomaly adjustment scheme for the screen partitions, and modifies the screen illumination anomaly adjustment scheme for the screen partitions according to the total number of abnormal areas Yczs;

[0051] Step 5: The feedback monitoring module performs specific execution according to the content of the screen partition screen illumination abnormality adjustment plan, and records the adjusted brightness data and display effect, and feeds back to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

[0052] The present invention provides a method and system for controlling LED backlight brightness by partition based on multiple sensors, which has the following beneficial effects:

[0053] (1) When the system is running, the light acquisition module and the data processing module are used to collect light information and process data to form an abnormal area information set. The abnormal detection module is used to accurately quantify the degree of light abnormality in the abnormal area information set. The dynamic adjustment module is used to perform adaptive adjustments to achieve dynamic light adjustment, ensure the consistency of the display effects of each partition, and optimize the audience's visual experience. Finally, the feedback monitoring module is used to ensure the implementation and effectiveness of the adjustment measures, form a data closed loop, continuously optimize the adjustment strategy, and enhance the system's adaptive ability. This partition control method not only improves the precision of brightness adjustment, but also maintains the consistency of display effects in a changing lighting environment.

[0054] (2) Through the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz, the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz are fitted to obtain: the partitioned lighting anomaly coefficient Ycxs, which realizes the accurate quantification of lighting anomalies, comprehensively considers various lighting factors, dynamically adapts to environmental changes, improves adjustment accuracy and effect, and enhances system stability and reliability.

[0055] (3) By obtaining the screen partitioning screen illumination abnormality adjustment plan and the illumination abnormality correction plan, accurate matching is achieved and a specific screen partitioning screen illumination abnormality adjustment plan is generated to ensure that the backlight brightness adjustment of each partition is more accurate and effectively solve the local illumination abnormality problem. The overall display effect is improved through the illumination abnormality correction plan content, so as to achieve a rapid response in the illumination abnormality area and ensure that the audience can get a clear and high-quality visual experience no matter from which angle they watch the big screen.

[0056] (4) Collect and process data through steps one and two, and perform information detection and dynamic adjustment through steps three and four to ensure the clarity and consistency of the screen under different lighting conditions, and to be able to respond to environmental changes in real time to maintain the best display effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a schematic diagram of the flowchart of the system for controlling the brightness of LED backlight by different zones based on multiple sensors of the present invention;

[0058] Figure 2 The figure is a schematic diagram of the steps of the method for controlling LED backlight brightness by partitions based on multiple sensors of the present invention. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0060] Example 1

[0061] The present invention provides a system for controlling the brightness of LED backlight based on multiple sensors. Figure 1 , including a light acquisition module, a data processing module, an anomaly detection module, a dynamic adjustment module and a feedback monitoring module;

[0062] The illumination acquisition module acquires ambient illumination information, information about the light directly incident on the screen, and angle information in real time through a number of sensors to form an ambient illumination information group;

[0063] The data processing module preprocesses and extracts the ambient light information group, the preprocessing includes data filtering, data cleaning and format conversion, the extraction includes extracting the abnormal light area by analyzing the light intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information, and synchronously marking the number of abnormal areas as: the total number of abnormal areas Yczs, forming an abnormal area information set;

[0064] The abnormality detection module establishes an abnormal area illumination model according to the abnormal area information set, and obtains after training and statistics: a partition illumination abnormality coefficient Ycxs;

[0065] The dynamic adjustment module matches the partition illumination anomaly coefficient Ycxs with the preset partition illumination anomaly adjustment threshold T, obtains the screen illumination anomaly adjustment scheme for the screen partitions, and modifies the screen illumination anomaly adjustment scheme for the screen partitions according to the total number of abnormal regions Yczs;

[0066] The feedback monitoring module is specifically executed according to the content of the screen partition screen illumination abnormality adjustment plan, and records the adjusted brightness data and display effect, and feeds back to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

[0067] In this embodiment, light information is collected and data is processed through the light collection module and the data processing module to form an abnormal area information set. The abnormal area information set is accurately quantified by the abnormal detection module to determine the degree of abnormal light. The dynamic adjustment module is used to perform adaptive adjustments to achieve dynamic light adjustment, thereby ensuring consistent display effects in each partition and optimizing the audience's visual experience. Finally, the feedback monitoring module is used to ensure the implementation and effectiveness of the adjustment measures, form a data closed loop, continuously optimize the adjustment strategy, and enhance the system's adaptive capabilities.

[0068] Example 2

[0069] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the light collection module includes a collection unit and a communication unit;

[0070] The acquisition unit collects ambient light information, light information directly incident on the screen and angle information through a plurality of sensors integrated on the screen, the sensors including ambient light sensors, photosensitive sensors and position sensors, forming an ambient light information group;

[0071] Among them, the ambient lighting information includes the ambient light intensity and the ambient light direction angle, the lighting information includes the direct light intensity, light source type and duration, and the angle information includes the ambient light entering the screen angle and the light entering the screen angle;

[0072] The communication unit transmits the real-time collected ambient light information group to the data processing module via a wireless network or a wired network.

[0073] The data processing module includes a preprocessing unit and an extraction unit;

[0074] The preprocessing unit preprocesses the ambient lighting information group, and the preprocessing includes data filtering, data cleaning and format conversion;

[0075] The extraction unit extracts the processed ambient lighting information group, including identifying the abnormal lighting area by analyzing the lighting intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information, synchronously marking the number of abnormal areas as: the total number of abnormal areas Yczs, accumulating the lighting duration information of the current partition screen for the partition screen: the real-time cumulative lighting duration value Sc, marking the real-time lighting intensity of the ambient light, marking the maximum and minimum values ​​that appear as: the maximum ambient light intensity Hjgmax and the minimum ambient light intensity Hjgmin, forming an abnormal area information set;

[0076] The abnormal area information set includes the total number of abnormal areas Yczs, the real-time cumulative duration of lighting exposure Sc, the maximum ambient light intensity Hjgmax, the minimum ambient light intensity Hjgmin, the ambient light intensity value Hjg, the maximum light intensity Dgmax, the minimum light intensity Dgmin and the light exposure angle value Dgjd.

[0077] Example 3

[0078] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the anomaly detection module includes a modeling unit;

[0079] The modeling unit uses deep learning technology to establish an abnormal area illumination model according to the abnormal area information set, and obtains the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz after training and statistics, and then fits the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz to obtain the partition illumination abnormality coefficient Ycxs;

[0080] The partition illumination anomaly coefficient Ycxs is obtained by the following formula:

[0081] ;

[0082] Wherein, Ycxs represents the partition illumination anomaly coefficient, Dgyz represents the light fluctuation factor, and Hjyz represents the environment fluctuation factor. The light fluctuation factor Dgyz and the environment fluctuation factor Hjyz are used to perform fitting calculations to obtain the abnormal performance of screen partition illumination fluctuation: the partition illumination anomaly coefficient Ycxs.

[0083] The light fluctuation factor Dgyz is obtained by the following calculation formula:

[0084] ;

[0085] ;

[0086] In the formula, Dgyz represents the light fluctuation factor, Sc represents the real-time cumulative duration of light exposure, Dgmax represents the maximum light intensity, Dgmin represents the minimum light intensity, Dgavg represents the average light intensity, and Dgjd represents the light exposure angle. Indicates that the partition screen affects the preset value of the light source angle, through the real-time cumulative duration of light exposure Sc, the maximum light intensity Dgmax, the minimum light intensity Dgmin, the light exposure angle value Dgjd and the partition screen affects the preset value of the light source angle Calculate and obtain the abnormal performance of lighting on the partition screen: the lighting fluctuation factor Dgyz.

[0087] The environmental fluctuation factor Hjyz is obtained by the following calculation formula:

[0088] ;

[0089] ;

[0090] ;

[0091] In the formula, Hjyz represents the environmental fluctuation factor, Hjgmax represents the maximum value of the ambient light intensity, Hjgmin represents the minimum value of the ambient light intensity, and Hjgavg represents the average value of the ambient light intensity. represents the standard deviation of ambient light intensity, Hjg represents the ambient light intensity value; n represents the number of sampling points of ambient light intensity, i represents the i-th sampling of ambient light intensity; the maximum value of ambient light intensity Hjgmax, the minimum value of ambient light intensity Hjgmin, the average value of ambient light intensity Hjgavg, and the standard deviation of ambient light intensity are obtained. And the calculation of the ambient light intensity value Hjg, obtain the fluctuation of ambient light: the ambient fluctuation factor Hjyz.

[0092] In this embodiment, the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz are used, and then the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz are fitted to obtain: the partitioned lighting anomaly coefficient Ycxs, which realizes accurate quantification of lighting anomalies, comprehensively considers various lighting factors, dynamically adapts to environmental changes, improves adjustment accuracy and effect, and enhances system stability and reliability.

[0093] Example 4

[0094] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the dynamic adjustment module includes a matching unit and a correction unit;

[0095] The matching unit matches the preset relevant information with the required contrast value, including matching the preset partition illumination abnormality adjustment threshold T with the partition illumination abnormality coefficient Ycxs to obtain the screen partition illumination abnormality adjustment scheme;

[0096] The correction unit corrects the screen partition screen illumination anomaly adjustment scheme according to the total number of abnormal regions Yczs to obtain an illumination anomaly correction scheme.

[0097] The screen partition screen illumination abnormality adjustment solution is obtained by the following matching method:

[0098] Partition illumination anomaly coefficient Ycxs<partition illumination anomaly adjustment threshold T, obtain the screen partition illumination normal assessment scheme, do not adjust the backlight brightness of the partition screen, and adjust the backlight brightness, contrast, color temperature and local dimming settings;

[0099] Partition illumination anomaly coefficient Ycxs ≥ partition illumination anomaly adjustment threshold T, obtain the partition illumination anomaly assessment scheme for the screen, adjust the backlight brightness of the partition screen, and adjust the backlight brightness, contrast, color temperature and local dimming settings;

[0100] The illumination anomaly correction scheme is obtained by the following matching method:

[0101] The total number of abnormal areas Yczs ≥ 10% of the total number of screen partitions. When the screen partition screen illumination abnormality adjustment plan result is: obtain the screen partition screen illumination abnormality assessment plan, adjust the backlight brightness to 110%, and process the contrast and color temperature simultaneously;

[0102] The total number of abnormal areas Yczs ≥ 20% of the total number of screen partitions. When the screen partition screen illumination abnormality adjustment plan result is: obtain the screen partition screen illumination abnormality assessment plan, adjust the backlight brightness to 130%, and process the contrast and color temperature simultaneously;

[0103] The total number of abnormal areas Yczs ≥ 40% of the total number of screen partitions. When the screen partition screen lighting abnormality adjustment plan result is: obtain the screen partition screen lighting abnormality evaluation plan, adjust the backlight brightness to 150%, and synchronously process the contrast and color temperature.

[0104] The feedback monitoring module includes an execution unit and a feedback unit;

[0105] The execution unit specifically performs backlight brightness adjustment according to the abnormal illumination adjustment plan, so that the backlight brightness and display parameters of the abnormal illumination partition screen are adjusted as planned, and the adjustment includes specific adjustment of the backlight brightness, contrast, color temperature and local dimming of the partition screen;

[0106] The feedback unit performs adjustments according to the content of the screen partition screen illumination abnormality adjustment plan, records and feeds back the adjusted brightness data and display effect, and provides them to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

[0107] In this embodiment, by obtaining the screen partition screen lighting abnormality adjustment plan and the lighting abnormality correction plan, accurate matching is achieved, and a specific screen partition screen lighting abnormality adjustment plan is generated to ensure that the backlight brightness adjustment of each partition is more accurate, effectively solve the local lighting abnormality problem, and improve the overall display effect through the lighting abnormality correction plan content.

[0108] Example 5

[0109] For a method of controlling LED backlight brightness based on multiple sensors, please refer to Figure 2 , specifically: including the following steps:

[0110] Step 1: The light collection module obtains the ambient light information, the light information directly hitting the screen and the angle information in real time through several sensors to form an ambient light information group;

[0111] Step 2: The data processing module preprocesses and extracts the ambient light information group. The preprocessing includes data filtering, data cleaning and format conversion. The extraction includes extracting the abnormal light area by analyzing the light intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information. The number of abnormal areas is synchronously marked as: the total number of abnormal areas Yczs, which constitutes the abnormal area information set;

[0112] Step 3: The anomaly detection module establishes an abnormal area illumination model based on the abnormal area information set, and obtains the partition illumination anomaly coefficient Ycxs after training and statistics;

[0113] Step 4: The dynamic adjustment module matches the partition illumination anomaly coefficient Ycxs with the preset partition illumination anomaly adjustment threshold T to obtain the screen illumination anomaly adjustment scheme for the screen partitions, and modifies the screen illumination anomaly adjustment scheme for the screen partitions according to the total number of abnormal areas Yczs;

[0114] Step 5: The feedback monitoring module performs specific execution according to the content of the screen partition screen illumination abnormality adjustment plan, and records the adjusted brightness data and display effect, and feeds back to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

[0115] In this embodiment, data is collected and processed through steps one and two, and information detection and dynamic adjustment are performed through steps three and four to ensure the clarity and consistency of the screen under different lighting conditions, and to be able to respond to environmental changes in real time to maintain the best display effect.

[0116] 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. A multi-sensor based zone control LED backlight brightness system, characterized by: It includes a light collection module, a data processing module, an anomaly detection module, a dynamic adjustment module and a feedback monitoring module; The illumination acquisition module acquires the ambient illumination information, the light information directly incident on the screen and the angle information in real time through a plurality of sensors to form an ambient illumination information group; The data processing module preprocesses and extracts the ambient light information group, the preprocessing includes data filtering, data cleaning and format conversion, the extraction includes extracting the abnormal light area by analyzing the light intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information, and synchronously marking the number of abnormal areas as: the total number of abnormal areas Yczs, forming an abnormal area information set; The abnormality detection module establishes an abnormal area illumination model according to the abnormal area information set, and obtains after training and statistics: a partition illumination abnormality coefficient Ycxs; The anomaly detection module includes a modeling unit; The modeling unit uses deep learning technology to establish an abnormal area illumination model according to the abnormal area information set, and obtains the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz after training and statistics, and then fits the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz to obtain the partition illumination abnormality coefficient Ycxs; The partition illumination anomaly coefficient Ycxs is obtained by the following formula: ； Wherein, Ycxs represents the partition illumination anomaly coefficient, Dgyz represents the light fluctuation factor, and Hjyz represents the environment fluctuation factor. Through the fitting calculation of the light fluctuation factor Dgyz and the environment fluctuation factor Hjyz, the abnormal performance of the screen partition illumination fluctuation is obtained: the partition illumination anomaly coefficient Ycxs; The light fluctuation factor Dgyz is obtained by the following calculation formula: ； ； In the formula, Dgyz represents the light fluctuation factor, Sc represents the real-time cumulative duration of light exposure, Dgmax represents the maximum light intensity, Dgmin represents the minimum light intensity, Dgavg represents the average light intensity, and Dgjd represents the light exposure angle. Indicates that the partition screen affects the preset value of the light source angle, through the real-time cumulative duration of light exposure Sc, the maximum light intensity Dgmax, the minimum light intensity Dgmin, the light exposure angle value Dgjd and the partition screen affects the preset value of the light source angle Calculate the abnormal performance of lighting on the partition screen: lighting fluctuation factor Dgyz; The environmental fluctuation factor Hjyz is obtained by the following calculation formula: ； ； ； In the formula, Hjyz represents the environmental fluctuation factor, Hjgmax represents the maximum value of the ambient light intensity, Hjgmin represents the minimum value of the ambient light intensity, and Hjgavg represents the average value of the ambient light intensity. represents the standard deviation of ambient light intensity, Hjg represents the ambient light intensity value; n represents the number of sampling points of ambient light intensity, i represents the i-th sampling of ambient light intensity; Through the maximum value of ambient light intensity Hjgmax, the minimum value of ambient light intensity Hjgmin, the average value of ambient light intensity Hjgavg, and the standard deviation of ambient light intensity And the calculation of the ambient light intensity value Hjg, obtain the fluctuation of ambient light: the ambient fluctuation factor Hjyz; The dynamic adjustment module matches the partition illumination anomaly coefficient Ycxs with the preset partition illumination anomaly adjustment threshold T, obtains the screen illumination anomaly adjustment scheme for the screen partitions, and modifies the screen illumination anomaly adjustment scheme for the screen partitions according to the total number of abnormal regions Yczs; The feedback monitoring module is specifically executed according to the content of the screen partition screen illumination abnormality adjustment plan, and records the adjusted brightness data and display effect, and feeds back to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

2. The multi-sensor based zoned control LED backlight brightness system according to claim 1 is characterized in that: The illumination collection module includes a collection unit and a communication unit; The acquisition unit collects ambient light information, light information directly incident on the screen and angle information through a plurality of sensors integrated on the screen, the sensors including ambient light sensors, photosensitive sensors and position sensors, forming an ambient light information group; Among them, the ambient lighting information includes the ambient light intensity and the ambient light direction angle, the lighting information includes the direct light intensity, light source type and duration, and the angle information includes the ambient light entering the screen angle and the light entering the screen angle; The communication unit transmits the real-time collected ambient light information group to the data processing module via a wireless network or a wired network.

3. The multi-sensor based zoned control LED backlight brightness system according to claim 1, characterized in that: The data processing module includes a preprocessing unit and an extraction unit; The preprocessing unit preprocesses the ambient lighting information group, and the preprocessing includes data filtering, data cleaning and format conversion; The extraction unit extracts the processed ambient lighting information group, including identifying the abnormal lighting area by analyzing the lighting intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information, synchronously marking the number of abnormal areas as: the total number of abnormal areas Yczs, accumulating the lighting duration information of the current partition screen for the partition screen: the real-time cumulative lighting duration value Sc, marking the real-time lighting intensity of the ambient light, marking the maximum and minimum values ​​that appear as: the maximum ambient light intensity Hjgmax and the minimum ambient light intensity Hjgmin, forming an abnormal area information set; The abnormal area information set includes the total number of abnormal areas Yczs, the real-time cumulative duration of lighting exposure Sc, the maximum ambient light intensity Hjgmax, the minimum ambient light intensity Hjgmin, the ambient light intensity value Hjg, the maximum light intensity Dgmax, the minimum light intensity Dgmin and the light exposure angle value Dgjd.

4. The multi-sensor based zoned control LED backlight brightness system according to claim 1, characterized in that: The dynamic adjustment module includes a matching unit and a correction unit; The matching unit matches the preset relevant information with the required contrast value, including matching the preset partition illumination abnormality adjustment threshold T with the partition illumination abnormality coefficient Ycxs to obtain the screen partition illumination abnormality adjustment scheme; The correction unit corrects the screen partition screen illumination anomaly adjustment scheme according to the total number of abnormal regions Yczs to obtain an illumination anomaly correction scheme.

5. The multi-sensor based zoned control LED backlight brightness system according to claim 4 is characterized in that: The screen partition screen illumination abnormality adjustment solution is obtained by the following matching method: The partition illumination abnormality coefficient Ycxs is less than the partition illumination abnormality adjustment threshold T, and the screen partition illumination normal assessment scheme is obtained, and the backlight brightness of the partition screen is not adjusted; Partition illumination anomaly coefficient Ycxs≥partition illumination anomaly adjustment threshold T, obtain the screen illumination anomaly assessment scheme for the partitioned screen, and adjust the backlight brightness of the partitioned screen; The illumination anomaly correction scheme is obtained by the following matching method: The total number of abnormal areas Yczs ≥ 10% of the total number of screen partitions. When the screen partition screen illumination abnormality adjustment plan result is: obtain the screen partition screen illumination abnormality assessment plan and adjust the backlight brightness to 110%; The total number of abnormal areas Yczs ≥ 20% of the total number of screen partitions. When the screen partition screen illumination abnormality adjustment plan result is: obtain the screen partition screen illumination abnormality assessment plan and adjust the backlight brightness to 130%; The total number of abnormal areas Yczs ≥ 40% of the total number of screen partitions. When the screen partition screen lighting abnormality adjustment plan result is: obtain the screen partition screen lighting abnormality assessment plan and adjust the backlight brightness to 150%.

6. The multi-sensor based zoned control LED backlight brightness system according to claim 1, characterized in that: The feedback monitoring module includes an execution unit and a feedback unit; The execution unit specifically performs backlight brightness adjustment according to the abnormal illumination adjustment plan, so that the backlight brightness and display parameters of the abnormal illumination partition screen are adjusted as planned, and the adjustment includes specific adjustment of the backlight brightness, contrast, color temperature and local dimming of the partition screen; The feedback unit performs adjustments according to the content of the screen partition screen illumination abnormality adjustment plan, records and feeds back the adjusted brightness data and display effect, and provides them to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

7. A method for controlling LED backlight brightness by partition based on multiple sensors, comprising a system for controlling LED backlight brightness by partition based on multiple sensors as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: The light collection module obtains the ambient light information, the light information directly hitting the screen and the angle information in real time through several sensors to form an ambient light information group; Step 2: The data processing module preprocesses and extracts the ambient light information group. The preprocessing includes data filtering, data cleaning and format conversion. The extraction includes extracting the abnormal light area by analyzing the light intensity comparison method and the dynamic marking method, and then identifying the abnormal partition coordinate information. The number of abnormal areas is synchronously marked as: the total number of abnormal areas Yczs, which constitutes the abnormal area information set; Step 3: The anomaly detection module establishes an abnormal area illumination model based on the abnormal area information set, and obtains the partition illumination anomaly coefficient Ycxs after training and statistics; Step 4: The dynamic adjustment module matches the partition illumination anomaly coefficient Ycxs with the preset partition illumination anomaly adjustment threshold T to obtain the screen illumination anomaly adjustment scheme for the screen partitions, and modifies the screen illumination anomaly adjustment scheme for the screen partitions according to the total number of abnormal areas Yczs; Step 5: The feedback monitoring module performs specific execution according to the content of the screen partition screen illumination abnormality adjustment plan, and records the adjusted brightness data and display effect, and feeds back to the data processing module and the dynamic adjustment module for dynamic adjustment and recording.

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