LED backlight energy-saving system

Abstract

The invention discloses a light-emitting diode (LED) backlight energy-saving system, which relates to the technical field of LED backlight energy conservation and is characterized in that dimming response time of an existing backlight system during dimming of an LED backlight unit is acquired, a dimming response speed coefficient is calculated according to the dimming response time, brightness measurement is carried out on different areas of a screen, and the brightness value of each local area is acquired, so that the brightness of the LED backlight unit is calculated. A brightness uniformity coefficient is calculated according to the brightness value of each local area, a PWM signal and current and voltage data are obtained from a backlight driving circuit, a power consumption coefficient is calculated according to the PWM signal and the current and voltage data, and an early warning processing coefficient is calculated according to a dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient. And performing early warning maintenance on the existing backlight system through the early warning processing coefficient, so that the response speed, the brightness adjustment precision and the power consumption efficiency of the existing backlight system can be accurately evaluated, and early warning maintenance can be performed on potential faults or performance reduction.

Description

Technical Field

[0001] The invention relates to the technical field of LED backlight source energy saving, and in particular to an LED backlight source energy saving system. Background Art

[0002] With the continuous advancement of large-screen display technology, especially in the display of dynamic content such as advertisements, sports events, and movies, the precise adjustment and energy saving of backlight sources have become increasingly important. Large-screen displays usually require high-brightness and high-contrast display effects, and the brightness, color, and contrast of these contents change frequently, especially in fast-moving scenes. In order to ensure the visual effect of the displayed content, traditional LED backlight sources often need to provide high brightness evenly across the entire screen, which leads to high energy consumption. At present, common LED backlight energy-saving technologies include local dimming and intelligent brightness adjustment, in which local dimming technology adjusts the brightness of different areas of the screen according to the brightness requirements of the displayed content, thereby reducing unnecessary light source output in the background area and reducing overall energy consumption. However, in scenes with large screens and dynamic content display, traditional local dimming often faces problems such as insufficient accuracy and slow response speed. Therefore, an intelligent backlight source adjustment system that can respond to content changes in real time and accurately adjust the backlight brightness has become the key to improving display quality and energy efficiency. Summary of the invention

[0003] The purpose of the present invention is to solve the above-mentioned problems and provide an LED backlight source energy-saving system.

[0004] The present invention provides an LED backlight energy-saving system, the system comprising:

[0005] Response speed module: obtains the dimming response time when the existing backlight system dims the LED backlight unit, and calculates the dimming response speed coefficient according to the dimming response time;

[0006] Brightness adjustment accuracy module: measures the brightness of different areas of the screen, obtains the brightness value of each local area, and calculates the brightness uniformity coefficient based on the brightness value of each local area;

[0007] Power consumption module: obtains PWM signal, current and voltage data from the backlight driving circuit, and calculates the power consumption coefficient according to the PWM signal, current and voltage data;

[0008] Early warning processing module: calculates the early warning processing coefficient according to the dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient, and performs early warning maintenance on the existing backlight system according to the early warning processing coefficient.

[0009] Optionally, obtaining a dimming response time when an existing backlight system dims an LED backlight unit, and calculating a dimming response speed coefficient according to the dimming response time includes:

[0010] Obtain the dimming moment when the backlight system sends a dimming signal to the LED backlight unit and the moment when the brightness of the LED backlight unit changes, and calculate the brightness response time according to the dimming moment and the moment when the brightness of the LED backlight unit changes. The calculation formula is: ldx = Ttg-Tst, where ldx is the brightness response time, Tst is the dimming moment when the backlight system sends a dimming signal to the LED backlight unit, and Ttg is the moment when the brightness of the LED backlight unit changes;

[0011] Calculate the dimming response speed using the following formula:

[0012] Calculate the average of the dimming response speed using the following formula: where xys i represents the dimming response speed of the i-th LED backlight unit, i=1, 2, 3, 4, ..., I, and I is a positive integer;

[0013] Calculate the dimming response speed coefficient using the following formula: Wherein, Tgx is the dimming response speed coefficient.

[0014] Optionally, by measuring the brightness of different areas of the screen and obtaining the brightness value of each local area, calculating the brightness uniformity coefficient according to the brightness value of each local area includes:

[0015] The display screen is divided into M local areas, and a brightness test is performed on each local area of ​​the display screen to obtain a brightness value L1 of each local area. m , where Ll m is the brightness value of the mth local area, m=1, 2, 3, 4, ..., M, and M is a positive integer;

[0016] Calculate the average brightness Lavg of the entire display screen. The calculation formula is: M;

[0017] Calculate the brightness standard deviation of the entire display screen

[0018] Calculate the brightness uniformity coefficient, the calculation formula is Where Ljy is the brightness uniformity coefficient.

[0019] Optionally, obtaining a PWM signal and current and voltage data from a backlight driving circuit, and calculating a power consumption coefficient according to the PWM signal and the current and voltage data includes:

[0020] Connect the probe of the oscilloscope to the node that outputs the PWM signal in the LED backlight driver circuit to measure the complete PWM signal cycle, that is, the time from the start to the end of a complete waveform;

[0021] Extract the duration of the high level from the complete PWM signal cycle and calculate the PWM duty cycle. The calculation formula is: Where dzb is the PWM duty cycle, Thigh is the duration of the high level, and Tz is the complete PWM signal cycle;

[0022] Calculate the power consumption coefficient using the formula:

[0023] Glx=dzb×(α×Dy+β×Dl)

[0024] Wherein Glx is the power consumption coefficient, Dy and Dl are voltage and current respectively, α and β are preset proportional coefficients of Dy and Dl respectively, and α and β are both greater than 0.

[0025] Optionally, calculating the early warning processing coefficient according to the dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient includes:

[0026]

[0027] Wherein, YJX is the early warning processing coefficient, Tgx, Ljy, and Glx are the dimming response speed coefficient, brightness uniformity coefficient, and power consumption coefficient, respectively; a1, a2, and a3 are the preset proportional coefficients of Tgx, Ljy, and Glx, respectively, and a1, a2, and a3 are all greater than 0.

[0028] Optionally, the early warning processing coefficient is compared with a preset early warning processing coefficient threshold, and early warning maintenance is performed on the existing backlight system according to the comparison result, as follows:

[0029] If the warning processing coefficient is not less than the preset warning processing coefficient threshold, a warning maintenance signal is issued, and the backlight system is immediately controlled to stop working;

[0030] If the warning processing coefficient is less than the preset warning processing coefficient threshold, no warning maintenance signal is issued, and there is no need to perform excessive intervention on the backlight system.

[0031] Beneficial effects of the present invention:

[0032] The present invention proposes an LED backlight energy-saving system, which obtains the dimming response time of the existing backlight system when dimming the LED backlight unit, and calculates the dimming response speed coefficient according to the dimming response time, measures the brightness of different areas of the screen, and obtains the brightness value of each local area, calculates the brightness uniformity coefficient according to the brightness value of each local area, obtains PWM signals and current and voltage data from the backlight driving circuit, and calculates the power consumption coefficient according to the PWM signals and current and voltage data, calculates the early warning processing coefficient according to the dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient, and performs early warning maintenance on the existing backlight system according to the early warning processing coefficient. In this way, the response speed, brightness adjustment accuracy and power consumption efficiency of the existing backlight system can be accurately evaluated, and the system status can be monitored in real time through the early warning processing module to ensure the realization of energy-saving goals and the efficient operation of the system. In terms of backlight adjustment and energy management, the advantage of the system is that it can adjust and optimize energy use in real time, avoid excessive dimming or unnecessary power consumption, and perform early warning maintenance on potential faults or performance degradation. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] Figure 1 A framework diagram of an LED backlight energy-saving system. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0037] The embodiment of the present invention provides an LED backlight energy saving system. Figure 1 , Figure 1 A framework diagram of an LED backlight energy-saving system provided by an embodiment of the present invention, the system comprising:

[0038] Response speed module: obtains the dimming response time when the existing backlight system dims the LED backlight unit, and calculates the dimming response speed coefficient according to the dimming response time;

[0039] Brightness adjustment accuracy module: measures the brightness of different areas of the screen, obtains the brightness value of each local area, and calculates the brightness uniformity coefficient based on the brightness value of each local area;

[0040] Power consumption module: obtains PWM signal, current and voltage data from the backlight driving circuit, and calculates the power consumption coefficient according to the PWM signal, current and voltage data;

[0041] Early warning processing module: calculates the early warning processing coefficient according to the dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient, and performs early warning maintenance on the existing backlight system according to the early warning processing coefficient.

[0042] Based on an LED backlight energy-saving system provided in an embodiment of the present invention, the above-mentioned method can accurately evaluate the response speed, brightness adjustment accuracy and power consumption efficiency of the existing backlight system, and monitor the system status in real time through the early warning processing module to ensure the realization of energy-saving goals and efficient operation of the system. In terms of backlight adjustment and energy management, the advantage of this system is that it can adjust and optimize energy use in real time, avoid excessive dimming or unnecessary power consumption, and can perform early warning maintenance on potential failures or performance degradation.

[0043] In one embodiment, obtaining a dimming response time when an existing backlight system dims an LED backlight unit, and calculating a dimming response speed coefficient according to the dimming response time includes:

[0044] Obtain the dimming moment when the backlight system sends a dimming signal to the LED backlight unit and the moment when the brightness of the LED backlight unit changes, and calculate the brightness response time according to the dimming moment and the moment when the brightness of the LED backlight unit changes. The calculation formula is: ldx = Ttg-Tst, where ldx is the brightness response time, Tst is the dimming moment when the backlight system sends a dimming signal to the LED backlight unit, and Ttg is the moment when the brightness of the LED backlight unit changes;

[0045] Calculate the dimming response speed using the following formula:

[0046] Calculate the average of the dimming response speed using the following formula: where xys i represents the dimming response speed of the i-th LED backlight unit, i=1, 2, 3, 4, ..., I, and I is a positive integer;

[0047] Calculate the dimming response speed coefficient using the following formula: Wherein, Tgx is the dimming response speed coefficient;

[0048] It should be noted that the time coefficient refers to the response speed of the backlight system from receiving the dimming signal to the actual brightness change during the LED backlight dimming process. If the dimming response time is short, it means that the system can adjust the backlight brightness faster, thereby improving the flexibility and real-time performance of the dimming. Conversely, a long response time indicates that the system responds slowly, which may cause obvious delays or unevenness in dynamic scenes where the brightness needs to be adjusted quickly. The dimming response speed coefficient can provide an accurate feedback to the system to help identify delay bottlenecks in the dimming process. By monitoring the dimming response speed, the system can evaluate its adjustment capabilities in real time and predict whether it may not be able to respond to the needs in a timely manner in a specific scenario (for example, a dynamic scene or a sudden brightness change). Based on this, if the system response speed is detected to be reduced (that is, the response time increases), the early warning processing module can start an advance alarm to remind maintenance personnel to make adjustments or repairs. The fast response of the dimming response speed coefficient can ensure that the LED backlight unit adapts to content changes in a timely manner (such as brightness fluctuations in advertisements or sports events), avoiding energy waste caused by excessive adjustment or slow response. If the backlight system responds too slowly, it may lead to excessive power usage during brightness adjustment, wasting energy. By calculating the early warning processing coefficient based on the dimming response speed coefficient, the system can warn in advance and make timely adjustments, thereby improving the overall energy saving effect. When the dimming response speed decreases, the system's brightness adjustment may lag or become unstable, resulting in uneven display effects or abnormal power consumption. The system can automatically issue an alarm to avoid unnecessary brightness fluctuations and power waste during the display process. This early warning mechanism can capture potential faults in a timely manner and remind users to check and repair, thereby reducing the risk of system failures and effectively reducing unnecessary maintenance costs.

[0049] In one embodiment, by measuring the brightness of different areas of the screen and obtaining the brightness value of each local area, calculating the brightness uniformity coefficient according to the brightness value of each local area includes:

[0050] The display screen is divided into M local areas, and a brightness test is performed on each local area of ​​the display screen to obtain a brightness value L1 of each local area. m , where Ll m is the brightness value of the mth local area, m=1, 2, 3, 4, ..., M, and M is a positive integer;

[0051] Calculate the average brightness Lavg of the entire display screen. The calculation formula is:

[0052] Calculate the brightness standard deviation Lbzc of the entire display screen,

[0053] Calculate the brightness uniformity coefficient, the calculation formula is Where Ljy is the brightness uniformity coefficient;

[0054] It should be noted that the brightness uniformity coefficient refers to a quantitative indicator of whether the brightness distribution of each area of ​​the display screen is uniform, which reflects the brightness difference between different areas of the screen. If the brightness uniformity coefficient is small, it means that the brightness distribution of the screen is relatively uniform; if the brightness uniformity coefficient is large, it means that there are large differences in the brightness of different areas of the screen, which may affect the display effect. Calculating the early warning processing coefficient based on the brightness uniformity coefficient can effectively optimize the performance of the display system, ensure the stability and energy saving of the system, and improve the user experience. By calculating and monitoring the brightness uniformity coefficient, potential problems of the backlight system in the display process can be discovered in time, especially in large-screen display, advertising screen, TV and other display scenes that require high consistency. The problem of uneven brightness may seriously affect the display effect, cause energy waste, and even affect the service life of the equipment. By introducing the early warning processing coefficient, timely early warning can be issued when the brightness distribution is uneven, avoiding obvious brightness differences or over-adjustment, thereby improving the stability and reliability of the system. The larger the brightness uniformity coefficient, the more obvious the brightness difference of the screen, which may lead to inconsistent display effects or reduced image quality. In this case, calculating the early warning processing coefficient based on the brightness uniformity coefficient can issue an alarm in time when the brightness is uneven, reminding maintenance personnel to check and adjust the backlight system. This can avoid serious display defects in important occasions (such as advertising, demonstrations, etc.) and improve user experience. Backlight systems with uneven brightness often lead to excessive brightness adjustment in certain areas, wasting unnecessary energy and increasing the power consumption of the device. By calculating the early warning processing coefficient in combination with the brightness uniformity coefficient, the backlight brightness distribution can be detected in real time, and the dimming strategy can be optimized when unevenness is found. This helps to balance the accuracy and energy efficiency of brightness adjustment, avoid excessive backlight adjustment or response delay, and effectively save energy. In scenes where dynamic content is displayed, especially fast-changing pictures such as advertisements or movies, the backlight adjustment needs to adapt to content changes quickly and accurately. The early warning processing coefficient calculated based on the brightness uniformity coefficient can provide real-time feedback to the backlight adjustment system. When the system detects that there is uneven brightness distribution, the early warning processing module can quickly trigger the adjustment mechanism to optimize the response speed of the backlight brightness and avoid unclear images or uneven brightness. Long-term uneven brightness may cause a large burden on the backlight system and even accelerate the aging of the LED backlight unit. Through the early warning processing coefficient calculated based on the brightness uniformity coefficient, the problem of uneven brightness distribution can be discovered in advance and adjusted or maintained in time. This not only reduces the risk of equipment failure, but also extends the service life of the LED backlight system and reduces maintenance costs.

[0055] In one embodiment, obtaining a PWM signal and current and voltage data from a backlight driving circuit, and calculating a power consumption coefficient according to the PWM signal and the current and voltage data includes:

[0056] Connect the probe of the oscilloscope to the node that outputs the PWM signal in the LED backlight driver circuit to measure the complete PWM signal cycle, that is, the time from the start to the end of a complete waveform;

[0057] Extract the duration of the high level from the complete PWM signal cycle and calculate the PWM duty cycle. The calculation formula is: Where dzb is the PWM duty cycle, Thigh is the duration of the high level, and Tz is the complete PWM signal cycle;

[0058] Calculate the power consumption coefficient using the formula:

[0059] Glx=dzb×(α×Dy+β×Dl)

[0060] Wherein Glx is the power consumption coefficient, Dy and Dl are voltage and current respectively, α and β are preset proportional coefficients of Dy and Dl respectively, and α and β are both greater than 0.

[0061] It should be noted that α and β are set by professionals according to actual conditions. Generally, the sum of α and β is 1, and no specific limitation or elaboration is given.

[0062] It should be noted that the power consumption coefficient refers to the power consumption efficiency of the LED backlight system under different working conditions. The power consumption coefficient not only reflects the energy consumption of each screen area, but also reveals whether the backlight unit is in a state of excessive power consumption or insufficient power. If the power consumption in certain areas is abnormal, it may indicate that the backlight system is faulty, overloaded, or has decreased efficiency. By monitoring the changing trend of the power consumption coefficient, problems can be identified in advance, and timely measures can be taken to adjust or maintain it, thereby reducing the occurrence of system failures. By calculating the power consumption coefficient, the energy consumption characteristics of each backlight unit can be accurately understood, and the early warning processing coefficient can be calculated to determine which areas are at risk of energy waste. For these areas, unnecessary energy consumption can be avoided by local dimming, reducing brightness, or adopting more efficient power management strategies to achieve energy saving effects. Dynamically adjusting power consumption to avoid overload or continuous high power consumption can effectively improve the energy efficiency of the system. By real-time monitoring of the power consumption coefficient, the early warning processing coefficient can evaluate in real time whether the current power consumption exceeds the normal range and trigger an automatic adjustment or alarm mechanism. For example, when the power consumption of certain backlight areas exceeds a predetermined threshold, the system can respond quickly by adjusting parameters such as PWM duty cycle and brightness distribution to reduce power consumption and prevent overheating or damage. This can enhance the system's ability to respond to abnormal conditions and ensure its long-term stable operation. Long-term high power consumption not only leads to energy waste, but may also affect the service life of the LED backlight source, especially in the case of long-term overload operation, which may cause premature aging or damage of the LED unit. Early warning processing based on power consumption coefficient can help to promptly discover and solve the problem of excessive power consumption, thereby reducing unnecessary hardware losses and extending the overall service life of the system.

[0063] In one embodiment, calculating the early warning processing coefficient according to the dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient includes:

[0064]

[0065] Wherein, YJX is the early warning processing coefficient, Tgx, Ljy, and Glx are the dimming response speed coefficient, brightness uniformity coefficient, and power consumption coefficient, respectively; a1, a2, and a3 are the preset proportional coefficients of Tgx, Ljy, and Glx, respectively, and a1, a2, and a3 are all greater than 0.

[0066] It should be noted that a1, a2, and a3 are set by professionals according to actual conditions. Generally, the sum of a1, a2, and a3 is 1. For example, a1, a2, and a3 can be 0.4, 0.3, and 0.3, respectively, or other numbers, without specific limitation. In addition, before calculating the priority coefficient, the time coefficient, data deviation coefficient, and task progress coefficient need to be normalized. Commonly used normalization methods include Min-Max normalization, Z-Score standardization, etc. The specific method is selected by professionals according to actual conditions, and no specific limitation or elaboration is made.

[0067] In one embodiment, the early warning processing coefficient is compared with a preset early warning processing coefficient threshold, and early warning maintenance is performed on the existing backlight system according to the comparison result, as follows:

[0068] If the warning processing coefficient is not less than the preset warning processing coefficient threshold, a warning maintenance signal is issued, and the backlight system is immediately controlled to stop working;

[0069] If the warning processing coefficient is less than the preset warning processing coefficient threshold, no warning maintenance signal is issued, and there is no need to perform excessive intervention on the backlight system.

[0070] In one implementation, the above-mentioned preset warning processing coefficient threshold is set by professionals according to actual conditions, and the details are not repeated here.

[0071] In one implementation, the early warning processing coefficient calculated based on the dimming response speed coefficient, the brightness uniformity coefficient and the power consumption coefficient can provide important support for the maintenance and optimization of the existing backlight system. The early warning processing coefficient comprehensively considers the performance of the backlight system in terms of response speed, brightness uniformity and power consumption. It provides a comprehensive health status assessment for the system, helps identify potential operating problems of the system, and prompts optimization or maintenance measures to be taken in advance. By calculating the early warning processing coefficient, the system can timely detect potential faults or performance degradation, reduce unnecessary energy consumption, and improve the overall stability, energy utilization efficiency and service life of the backlight system. Specifically, the early warning processing coefficient can effectively reveal whether there is a performance bottleneck or operating risk in the backlight system by combining the effects of dimming response speed, brightness uniformity and power consumption. For example, if the dimming response speed coefficient is too high, it may indicate that the system lags in adjusting the brightness, resulting in inaccurate display effects; if the brightness uniformity coefficient is low, it means that the screen display has uneven brightness distribution, affecting the visual experience; if the power consumption coefficient is too high, it may cause energy waste or system overheating, reduce the efficiency of the system and shorten the service life. Through the early warning processing coefficient, the system can issue an early warning before the problem becomes serious and initiate necessary maintenance procedures in advance, such as adjusting brightness distribution, optimizing dimming response time, reducing power consumption, etc., to avoid equipment failure or display quality degradation.

[0072] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be used to artificially limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An LED backlight energy saving system, characterized in that: The system comprises: Response speed module: obtains the dimming response time when the existing backlight system dims the LED backlight unit, and calculates the dimming response speed coefficient according to the dimming response time; Brightness adjustment accuracy module: measures the brightness of different areas of the screen, obtains the brightness value of each local area, and calculates the brightness uniformity coefficient based on the brightness value of each local area; Power consumption module: obtains PWM signal, current and voltage data from the backlight driving circuit, and calculates the power consumption coefficient according to the PWM signal, current and voltage data; Early warning processing module: calculates the early warning processing coefficient according to the dimming response speed coefficient, brightness uniformity coefficient and power consumption coefficient, and performs early warning maintenance on the existing backlight system according to the early warning processing coefficient.

2. The LED backlight energy saving system according to claim 1, characterized in that: Obtaining the dimming response time when the existing backlight system dims the LED backlight unit, and calculating the dimming response speed coefficient according to the dimming response time includes: Obtain the dimming moment when the backlight system sends a dimming signal to the LED backlight unit and the moment when the brightness of the LED backlight unit changes, and calculate the brightness response time according to the dimming moment and the moment when the brightness of the LED backlight unit changes. The calculation formula is: ldx = Ttg-Tst, where ldx is the brightness response time, Tst is the dimming moment when the backlight system sends a dimming signal to the LED backlight unit, and Ttg is the moment when the brightness of the LED backlight unit changes; Calculate the dimming response speed using the following formula: Calculate the average of the dimming response speed using the following formula: where xys i represents the dimming response speed of the i-th LED backlight unit, i=1, 2, 3, 4, ..., I, and I is a positive integer; Calculate the dimming response speed coefficient using the following formula: Wherein, Tgx is the dimming response speed coefficient.

3. The LED backlight energy saving system according to claim 2, characterized in that: By measuring the brightness of different areas of the screen and obtaining the brightness value of each local area, the brightness uniformity coefficient is calculated according to the brightness value of each local area, including: The display screen is divided into M local areas, and a brightness test is performed on each local area of ​​the display screen to obtain a brightness value L1 of each local area. m , where Ll m is the brightness value of the mth local area, m=1, 2, 3, 4, ..., M, and M is a positive integer; Calculate the average brightness Lavg of the entire display screen. The calculation formula is: Calculate the brightness standard deviation Lbzc of the entire display screen, Calculate the brightness uniformity coefficient, the calculation formula is Where Ljy is the brightness uniformity coefficient.

4. The LED backlight energy saving system according to claim 1, characterized in that: By obtaining the PWM signal and current and voltage data from the backlight driving circuit, the power consumption coefficient is calculated according to the PWM signal and the current and voltage data, including: Connect the probe of the oscilloscope to the node that outputs the PWM signal in the LED backlight driver circuit to measure the complete PWM signal cycle, that is, the time from the start to the end of a complete waveform; Extract the duration of the high level from the complete PWM signal cycle and calculate the PWM duty cycle. The calculation formula is: Where dzb is the PWM duty cycle, Thigh is the duration of the high level, and Tz is the complete PWM signal cycle; Calculate the power consumption coefficient using the formula: Glx=dzb×(α×Dy+β×Dl) Wherein Glx is the power consumption coefficient, Dy and Dl are voltage and current respectively, α and β are preset proportional coefficients of Dy and Dl respectively, and α and β are both greater than 0.

5. The LED backlight energy saving system according to claim 1, characterized in that: The early warning processing coefficient is calculated based on the dimming response speed coefficient, brightness uniformity coefficient and power consumption coefficient, including: Wherein, YJX is the early warning processing coefficient, Tgx, Ljy, and Glx are the dimming response speed coefficient, brightness uniformity coefficient, and power consumption coefficient, respectively; a1, a2, and a3 are the preset proportional coefficients of Tgx, Ljy, and Glx, respectively, and a1, a2, and a3 are all greater than 0.

6. The LED backlight energy saving system according to claim 1, characterized in that: The early warning processing coefficient is compared with the preset early warning processing coefficient threshold, and early warning maintenance is performed on the existing backlight system according to the comparison result, as follows: If the warning processing coefficient is not less than the preset warning processing coefficient threshold, a warning maintenance signal is issued, and the backlight system is immediately controlled to stop working; If the warning processing coefficient is less than the preset warning processing coefficient threshold, no warning maintenance signal is issued, and there is no need to perform excessive intervention on the backlight system.

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