Heat management and heat dissipation optimization method for glass-based small-spacing display screen

Abstract

The invention discloses a heat management and heat dissipation optimization method for a glass-based small-spacing display screen, and the method comprises the following steps: S100, carrying out the real-time heat source detection of the display screen, and providing data support for the adjustment of a heat dissipation management system; and S200, the heat dissipation management system predicts the temperature at a future moment through a temperature prediction model based on a heat source detection result, and dissipates heat in advance based on the predicted temperature at the future moment. The method has the following advantages and effects that a heat source can be accurately recognized, and meanwhile countermeasures can be taken in advance, so that efficient heat dissipation management is achieved; the response speed and precision of the heat dissipation system are remarkably improved, performance reduction or equipment damage caused by overheating is avoided, and even heat dissipation of the display screen can be achieved. A brand-new solution is provided for heat management of the display screen, and great technical value and commercial prospects are achieved.

Description

Technical Field

[0001] The present invention relates to the field of thermal management of display screens, and in particular to a thermal management and heat dissipation optimization method for a glass-based small-pitch display screen. Background Art

[0002] With the continuous development of modern display technology, especially in small-pitch LED displays, such as glass-based small-pitch displays are widely used in large-screen display systems. The size of the display screen continues to increase, and the display effect requirements are gradually increasing. However, this is also accompanied by the increasingly prominent problem of thermal management of the display screen. Especially in high-brightness, high-definition application environments, the power consumption of the display screen components is high, resulting in heat accumulation, which in turn affects the display effect, system stability and service life. Therefore, how to achieve efficient thermal management and heat dissipation optimization to ensure the stable operation of the display screen under different load and environmental conditions has become an urgent problem to be solved.

[0003] On the one hand, traditional display cooling methods mostly rely on simple passive cooling methods such as fans and heat sinks. Although this method can reduce the temperature of the display to a certain extent, it cannot accurately deal with complex situations such as uneven temperature distribution and workload changes. For example, the temperature distribution of the core area and edge area of ​​the display under different loads may be quite different. Simple cooling methods cannot be used for local adjustments in a targeted manner, which can easily lead to local overheating, affect display quality, and may even cause equipment failure. Therefore, how to accurately identify the heat source of the display, predict temperature changes in different areas, and make adjustments in advance according to actual needs has become a technical problem in the field of display thermal management.

[0004] On the other hand, traditional heat dissipation methods usually treat the display screen as overheated, resulting in a delayed heat dissipation response, which may affect the normal operation of the display screen or even cause damage.

[0005] In summary, existing thermal management methods still have the problem of uneven heat dissipation and delayed response. Summary of the invention

[0006] The purpose of the present invention is to provide a method for thermal management and heat dissipation optimization of a glass-based fine-pitch display screen to solve the problems raised in the background technology.

[0007] The above technical objectives of the present invention are achieved through the following technical solutions: A method for thermal management and heat dissipation optimization of a glass-based fine-pitch display screen comprises the following steps: S100, real-time heat source detection of the display screen to provide data support for the adjustment of the heat dissipation management system; S200, the heat dissipation management system predicts the temperature at a future time by using a temperature prediction model based on the result of the heat source detection, and dissipates heat in advance based on the predicted temperature at the future time; In the step S100, a temperature distribution map is generated, and the temperature distribution map consists of a high temperature area and a low temperature area; In step S200: The temperature prediction model divides the display screen into several display areas according to the rules, matches them with the high-temperature areas in the temperature distribution map, extracts the display areas that overlap with the high-temperature areas in the temperature distribution map and marks high-temperature hazards, and predicts the future temperature of each display area marked with high-temperature hazards; The heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with high temperature potential predicted by the temperature prediction model.

[0008] By adopting the above technical scheme, the present invention can achieve efficient and accurate heat dissipation management through the combination of real-time heat source detection and temperature prediction model; firstly, by performing real-time heat source detection on the display screen, the temperature distribution of the display screen can be dynamically monitored and potential heat sources can be discovered in time; these data provide accurate reference information for the heat dissipation management system, which can help the system make the best heat dissipation adjustment according to the actual temperature conditions; through the temperature prediction model constructed based on the heat source detection results, the temperature change trend of each area of ​​the display screen at future moments can be predicted in advance, thereby providing sufficient time for the adjustment of the heat dissipation system; this mechanism of advance prediction and heat dissipation can avoid various potential faults caused by excessive display screen temperature, such as display quality degradation, hardware damage and other problems, greatly improving the stability and reliability of the display screen; at the same time, the present invention forms targeted heat dissipation measures in high temperature areas, which can not only reduce the risk of system overheating, but also improve the uniformity of heat dissipation.

[0009] Further configuration is that the step S100 is specifically: S101, using a thermal imaging camera to collect real-time temperature of the display screen to obtain a thermal imaging image of the display screen; S102, deploying multiple temperature sensors in the core area of ​​the display screen to collect temperature data; S103, matching the thermal image with the temperature data collected by each temperature sensor to obtain a matched thermal image, and performing analysis.

[0010] By adopting the above technical solution, the steps of heat source detection are further refined. By using a thermal imaging camera to collect real-time temperature of the display screen, the temperature distribution of the display screen surface and internal components can be accurately obtained. Combined with the temperature sensor data, a more accurate temperature distribution map can be constructed, thereby providing more precise data support for subsequent temperature prediction and heat dissipation management. In addition, the matching of thermal imaging images with temperature sensor data can effectively improve the accuracy of temperature data and ensure the accurate operation of the heat dissipation management system.

[0011] Further configuration is that the step S103 is specifically: S1031, converting the temperature data collected by each temperature sensor into a form matching the thermal image through an interpolation method, to ensure that the temperature distribution of the temperature sensor data and the thermal image is consistent; S1032, according to the installation position of each temperature sensor, the temperature data collected by each temperature sensor is matched with the area corresponding to the thermal image, and the sensor data can be integrated into the thermal image through coordinate transformation or direct mapping to obtain a combined thermal image; S1033. Compare the thermal image and the temperature data collected by each temperature sensor in the same area to check whether the temperatures of the two are consistent; for areas where the difference is greater than the set value, data correction is required to ensure the accuracy of the temperature information.

[0012] By adopting the above technical solution, the temperature sensor data is matched with the thermal image through the interpolation method and corrected in the thermal image to ensure that the temperature data of the two are consistent; this measure effectively avoids the inaccuracy caused by the difference between the thermal image and the sensor data, and ensures that the thermal management system makes decisions based on the actual temperature distribution. This precise data matching and correction mechanism can improve the response accuracy of the cooling system to temperature changes, thereby better performing temperature control and cooling operations.

[0013] A further configuration is that after obtaining the combined thermal imaging image in step S103, the thermal imaging image is further processed; S1041. Based on bilateral filtering, a dynamic adjustment mechanism is added to better remove noise from thermal images, thereby improving image accuracy. The specific steps are as follows: Define the size of a window; Through the sliding window algorithm, starting from the upper left corner of the thermal image, the entire thermal image is gradually scanned, so that the window can traverse every area of ​​the thermal image; In each area after the window slides, calculate the local temperature statistics in the area, the local temperature statistics include the local temperature standard deviation and the local temperature average; According to the calculated local temperature standard deviation and local temperature average, the spatial standard deviation parameter and the intensity standard deviation parameter in the bilateral filter are dynamically adjusted; Assume that filtering is currently performed at pixel x:

[0014] Among them, I filtered (x) is the pixel value after bilateral filtering, Ω(x) is the neighborhood area centered on x, w(x,y) is the weight, adjusted according to the spatial standard deviation and intensity standard deviation; I(y) is the original value of pixel y in the neighborhood area Ω(x); S1042, performing heat source identification on the denoised thermal image; Set the hotspot threshold T threshold ; Traverse the entire thermal image and compare each pixel with the hotspot threshold T threshold Make comparisons;

[0015] Among them, Hotspot(x, y) represents the heat source state of pixel (x, y) on the thermal image, T(x, y) is the temperature at pixel (x, y), 1 represents the heat source area, and 0 represents the non-heat source area; S1043, color mapping is performed on the thermal image after heat source identification, different temperature values ​​correspond to different colors, and the color of each pixel is filled into the thermal image to generate a temperature distribution map, which consists of a high temperature area and a low temperature area.

[0016] By adopting the above technical solution, the noise of thermal images is removed through bilateral filtering combined with a dynamic adjustment mechanism. This technological innovation can not only remove the noise in the temperature distribution map and improve the image accuracy, but also make the filtering effect more flexible and accurate through dynamic adjustment of the algorithm; during the filtering process, the spatial and intensity standard deviations are adjusted according to the standard deviation and average value of the local temperature, so as to more effectively process the thermal image and avoid errors; this processing method can help accurately identify the hot spots of the display screen, ensure the authenticity and reliability of the temperature distribution map, and provide a more effective reference for subsequent heat dissipation decisions.

[0017] A further configuration is that the heat dissipation management system in step S200 includes a substrate-level heat dissipation module, an active heat dissipation module and a passive heat dissipation module; the substrate-level heat dissipation module includes a microchannel structure built into the substrate, and the microchannel is used for the flow of coolant; the active heat dissipation module includes an array of miniature silent fans arranged on the back of the display screen; and the passive heat dissipation module includes an additional phase change material.

[0018] By adopting the above technical solutions, the substrate-level heat dissipation module adopts a microchannel structure, which can efficiently guide the flow of coolant and take away heat; the active heat dissipation module realizes air flow through a micro silent fan array to further improve the heat dissipation efficiency; and the passive heat dissipation module adopts phase change material, which helps to slow down the temperature rise through phase change heat absorption when the temperature is too high; this multi-level heat dissipation module design enables the heat dissipation management system to flexibly adjust the heat dissipation method according to different heat dissipation requirements and the working status of the display screen, ensuring that the heat can be taken away quickly and efficiently, thereby maintaining the stable operation of the display screen.

[0019] Further configuration is that, in the step S200, the temperature prediction model divides the display screen into a plurality of display areas according to the rules, matches the display areas with the high temperature areas in the temperature distribution map, extracts the display areas that overlap with the high temperature areas in the temperature distribution map and marks the high temperature hazards, and predicts the future temperature of each display area marked with the high temperature hazard as follows: S201, calculating the impact of the load on each display area marked with a high temperature hazard; T L (t) = α i L i (t)+β i Among them, α i is the coefficient of load on temperature, L i (t) represents the load of the ith region; S202, calculating the influence of the ambient temperature on each display area marked with a high temperature hazard; T E (t) =γ i E(t)+δ i Among them, γ i is the coefficient of the influence of ambient temperature on temperature, E(t) is the ambient temperature, δ i is the bias term of ambient temperature; S203, calculating the impact of the display content on each display area marked with a high temperature hazard; , Among them, θ i and is the bias term of the displayed content, C(t) is the dynamic change of the displayed content; S204: Construct a temperature prediction model and predict the temperature T of each display area marked with high temperature potential at time t+Δt in the future total (t+Δt); T total (t+Δt)=T L (t+Δt)+T E(t+Δt)+T c (t+Δt).

[0020] By adopting the above technical solution, by dividing the display area of ​​the display screen and predicting and analyzing the high-temperature area in combination with the temperature distribution map, it is possible to accurately identify those display areas that may have high-temperature risks and perform targeted temperature predictions; this method can predict temperature changes in the future through detailed area division and temperature prediction models, and prepare for potential thermal problems in advance; at the same time, through targeted temperature predictions, the efficiency of the temperature prediction model can be improved.

[0021] Further configuration is that, in the step S200, the heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with a high temperature hazard predicted by the temperature prediction model, specifically: Each display area is independently bound to a micro silent fan and micro channel branch; When the future temperature T of each displayed area marked with high temperature potential total When (t+Δt) is lower than the safety threshold, each micro silent fan runs at the reference speed, and the coolant flow rate in the micro channel maintains the reference flow rate; If the future temperature T of a displayed area marked with high temperature hazard total When (t+Δt) exceeds the safety threshold, the speed of the micro silent fan in the corresponding display area is increased, and the flow rate of the coolant in the microchannel is increased through the boost pump; if the temperature continues to rise, the brightness of the display screen is reduced and the display ratio of high-heat colors is limited.

[0022] By adopting the above technical solution, precise heat dissipation control is achieved by independently binding micro-silent fans and micro-channel branches to each display area. This refined heat dissipation strategy can not only ensure that the display screen maintains the best temperature control effect under different usage conditions, but also reduce energy waste and equipment noise, improve heat dissipation efficiency and user experience.

[0023] In summary, the present invention has the following beneficial effects: The present invention can accurately identify the heat source and take countermeasures in advance, thereby achieving efficient heat dissipation management; it not only significantly improves the response speed and accuracy of the heat dissipation system, avoids performance degradation or equipment damage caused by overheating, but also achieves uniform heat dissipation of the display screen; it provides a new solution for display screen thermal management, which has great technical value and commercial prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Schematic diagram of the process of the embodiment. DETAILED DESCRIPTION

[0025] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0026] As attached Figure 1 As shown; This embodiment discloses a method for thermal management and heat dissipation optimization of a glass-based fine pitch display screen, comprising the following steps: S100, real-time heat source detection of the display screen to provide data support for the adjustment of the heat dissipation management system; S200, the heat dissipation management system predicts the temperature at a future time by using a temperature prediction model based on the result of the heat source detection, and dissipates heat in advance based on the predicted temperature at the future time; In step S100, a temperature distribution map is generated, and the temperature distribution map consists of a high temperature area and a low temperature area; In step S200: The temperature prediction model divides the display screen into several display areas according to the rules, matches them with the high-temperature areas in the temperature distribution map, extracts the display areas that overlap with the high-temperature areas in the temperature distribution map and marks high-temperature hazards, and predicts the future temperature of each display area marked with high-temperature hazards; The heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with high temperature potential predicted by the temperature prediction model.

[0027] Specifically, step S100 is as follows: S101. Use a thermal imaging camera to collect the real-time temperature of the display screen and obtain a thermal image of the display screen. For a small pitch display screen, resolution is a crucial parameter. This embodiment uses a high-resolution infrared camera, which can not only identify the temperature difference at the level of a single pixel, but also provide a high-precision thermal image to help detect temperature fluctuations in a small area of ​​the display screen.

[0028] S102. Deploy multiple temperature sensors in the core area of ​​the display screen to collect temperature data. In this embodiment, the core area of ​​the display screen and the number of temperature sensors arranged are as follows: ① 5 temperature sensors are arranged on the back of the display screen, covering the four corners; ② 2 temperature sensors are arranged in the display chip area, concentrated on the display chip and its surroundings; ③ 2 temperature sensors are arranged in the power module area, respectively arranged at the power input end and output end; ④ 1 temperature sensor is arranged at the wiring port of the display screen. These temperature sensors will collect and transmit temperature data in real time, provide accurate temperature curves, and dynamically reflect the intensity and distribution of heat sources under different display modes and workloads; the data of each temperature sensor is not only used for local heat source detection, but also can compare the overall working status to help analyze the temperature difference between different areas.

[0029] S103, matching the thermal image with the temperature data collected by each temperature sensor to obtain a matched thermal image, and performing analysis.

[0030] Specifically, step S103 is as follows: S1031, converting the temperature data collected by each temperature sensor into a form matching the thermal image through an interpolation method, to ensure that the temperature distribution of the temperature sensor data and the thermal image is consistent; S1032, according to the installation position of each temperature sensor, the temperature data collected by each temperature sensor is matched with the area corresponding to the thermal image, and the sensor data can be integrated into the thermal image through coordinate transformation or direct mapping to obtain a combined thermal image; S1033. Compare the thermal image with the temperature data collected by each temperature sensor in the same area to check whether the temperatures of the two are consistent; for areas where the difference is greater than the set value, data correction is required to ensure the accuracy of the temperature information. At this time, a signal of sensor failure or thermal image error can also be transmitted to the staff to remind the staff to further check and correct it.

[0031] The data from the temperature sensor can help provide temperature information in areas that thermal imaging cannot cover, such as certain hidden internal areas or corners, to ensure comprehensive temperature monitoring. The real-time temperature data from the temperature sensor can also be used to verify whether the temperature of the core area in the thermal imaging image is accurate.

[0032] Specifically, after obtaining the combined thermal imaging image in step S103, the thermal imaging image is further processed; S1041. Thermal images often have thermal noise or errors due to factors such as equipment accuracy and environmental interference. These noises will affect the accuracy of the temperature, and thus affect the identification and tracking of the heat source; therefore, it is necessary to use noise removal technology to improve the accuracy of the image. On the basis of bilateral filtering, a dynamic adjustment mechanism is added to better remove noise from thermal images, thereby improving image accuracy; traditional bilateral filtering smoothes images by considering spatial distance and pixel value differences while maintaining edge clarity, but cannot flexibly respond to changes in different noise types or image details, especially in high-resolution thermal images; the present invention has been improved so that it can dynamically adjust the parameters in the bilateral filtering according to the local characteristics of the thermal image, thereby obtaining better noise removal effects. The specific steps are as follows: Define the size of a window; Through the sliding window algorithm, starting from the upper left corner of the thermal image, the entire thermal image is gradually scanned, so that the window can traverse every area of ​​the thermal image; In each area after the window slides, calculate the local temperature statistics in the area, the local temperature statistics include the local temperature standard deviation and the local temperature average; The spatial standard deviation parameter and the intensity standard deviation parameter in the bilateral filter are dynamically adjusted according to the calculated local temperature standard deviation and the local temperature average value. In this embodiment, when the local standard deviation is less than the set value, it means that the temperature change in the area is small, and the spatial standard deviation will be increased to make the smoothing range wider. When the local standard is greater than the set value, it means that the temperature change in the area is large, and the spatial standard deviation will be reduced to more finely retain the edge of the hot spot area.

[0033] Assume that filtering is currently performed at pixel x:

[0034] Among them, I filtered (x) is the pixel value after bilateral filtering, Ω(x) is the neighborhood area centered on x, w(x,y) is the weight, adjusted according to the spatial standard deviation and intensity standard deviation; I(y) is the original value of pixel y in the neighborhood area Ω(x); S1042, performing heat source identification on the denoised thermal image; Set the hotspot threshold T threshold ; Traverse the entire thermal image and compare each pixel with the hotspot threshold T threshold Make comparisons;

[0035] Among them, Hotspot(x, y) represents the heat source state of pixel (x, y) on the thermal image, T(x, y) is the temperature at pixel (x, y), 1 represents the heat source area, and 0 represents the non-heat source area; S1043, color mapping is performed on the thermal image after heat source identification, different temperature values ​​correspond to different colors, and the color of each pixel is filled into the thermal image to generate a temperature distribution map, which consists of a high temperature area and a low temperature area. In this embodiment, the high temperature area is represented by red, and the low temperature area is represented by blue.

[0036] Specifically, the heat dissipation management system in step S200 includes a substrate-level heat dissipation module, an active heat dissipation module, and a passive heat dissipation module; the substrate-level heat dissipation module includes a microchannel structure built into the substrate, and the microchannel is used for the flow of coolant; the active heat dissipation module includes a micro silent fan array arranged on the back of the display screen; the passive heat dissipation module includes an additional phase change material. In this embodiment, a phase change material is added at the power module and the display chip. The phase change material uses paraffin-based PCM, and uses its heat absorption-release characteristics to buffer the instantaneous temperature rise and avoid local overheating.

[0037] Among them, in step S200, the temperature prediction model divides the display screen into several display areas according to the rules, and matches them with the high temperature areas in the temperature distribution map, extracts the display areas that overlap with the high temperature areas in the temperature distribution map and marks high temperature hazards, and predicts the future temperature of each display area marked with high temperature hazards as follows: S201. Calculate the impact of load on each display area marked with a high temperature hazard. Load describes the workload of the display screen. It is directly related to the tasks that the display screen needs to process and is a measure of power consumption.

[0038] T L (t) = α i L i (t)+β i Among them, α i is the coefficient of load on temperature, L i (t) represents the load of the ith region; S202, calculating the influence of the ambient temperature on each display area marked with a high temperature hazard; T E (t) =γ i E(t)+δ i Among them, γ i is the coefficient of the influence of ambient temperature on temperature, E(t) is the ambient temperature, δ i is the bias term of ambient temperature; S203, calculating the influence of the display content on each display area marked with a high temperature hazard; the display content is related to the temperature influence, especially the influence of color, brightness change and dynamic content.

[0039] , Among them, θ i and is the bias term of the displayed content, C(t) is the dynamic change of the displayed content; S204: Construct a temperature prediction model and predict the temperature T of each display area marked with high temperature potential at time t+Δt in the future total (t+Δt); T total (t+Δt)=T L (t+Δt)+T E (t+Δt)+T c (t+Δt).

[0040] In step S200, the heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with a high temperature hazard predicted by the temperature prediction model. Specifically, the heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with a high temperature hazard predicted by the temperature prediction model. Each display area is independently bound to a micro silent fan and micro channel branch; When the future temperature T of each displayed area marked with high temperature potential total When (t+Δt) is lower than the safety threshold, each micro silent fan runs at the reference speed, and the coolant flow rate in the micro channel maintains the reference flow rate; If the future temperature T of a displayed area marked with high temperature hazard total When (t+Δt) exceeds the safety threshold, the speed of the micro silent fan in the corresponding display area is increased, and the flow rate of the coolant in the microchannel is increased through the boost pump; if the temperature continues to rise, the brightness of the display screen is reduced and the display ratio of high-heat colors is limited.

[0041] In this embodiment, the high temperature area is first determined, and the high temperature area serves as a warning. Combined with subsequent predictions, it is determined whether the temperature continues to rise and exceeds the safety threshold. The heat dissipation management system can perform targeted heat dissipation in advance.

[0042] Application Examples

[0043] A glass-based small-pitch LED display was installed in the conference room with a resolution of 3840×2160 and a pixel pitch of P0.9. The ambient temperature was 25°C. The display continuously played static PPT content, which consisted of a 70% white background and 30% mixed graphics and text. The load power was 800W.

[0044] In step S101, a FLIR A615 thermal imaging camera with a resolution of 640×480 is used to collect the surface temperature of the display screen at a frequency of 10 Hz; the temperature sensor model is DS18B20.

[0045] In step S1041, when the window size is 15×15 pixels and the local temperature standard deviation is 3.2°C, the spatial standard deviation parameter is adjusted to 0.82 and the intensity standard deviation parameter is adjusted to 3.6, and the post-wave noise is reduced by 62%.

[0046] In step S1042, the hotspot threshold T is set threshold The temperature was 50℃, and three high temperature areas were identified, accounting for 12% of the area.

[0047] In step S1043 , the red high-temperature area is concentrated in the center, and the blue low-temperature area is distributed at the edge.

[0048] In step S200, the image is divided into 24×12 display areas.

[0049] In step S201, i is 0.05, the current load L i (t) is 35W, and T L (t) = 0.05 × 35 + 25 = 26.75 ° C; In step S202, i is 0.03, the ambient temperature E(t) is 25°C, and T E (t) = 0.03 × 25 + 20 = 20.75 ° C; In step S203, C(t) is 0.7, and T c (t)=5×exp(0.7)+15=25.05℃.

[0050] Predicted temperature in the future Δt=5 minutes: T total (t+Δt)=26.75+20.75+25.05=72.55℃, which exceeds the safety threshold of 65℃.

[0051] Next, the speed of the micro silent fan in the corresponding display area is increased from 2000 RPM to 3500 RPM, and the noise level is increased from 22dB to 28dB.

[0052] The flow velocity of the microchannel branch was increased from 0.1m / s to 0.25m / s, and the power of the booster pump was increased from 10W to 25W.

[0053] The temperature of one of the display areas was monitored in real time. After 5 minutes, the actual temperature of the display area was 63.2°C, with an error rate of 1.3%.

[0054] This embodiment can predict overtemperature 5 minutes in advance and reduce the temperature by 11.3°C, from 72.5°C to 61.2°C.

[0055] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. A method for thermal management and heat dissipation optimization of a glass-based small-pitch display screen, characterized in that: The following steps are included: S100, real-time heat source detection of the display screen to provide data support for the adjustment of the heat dissipation management system; S200, the heat dissipation management system predicts the temperature at a future time by using a temperature prediction model based on the result of the heat source detection, and dissipates heat in advance based on the predicted temperature at the future time; In the step S100, a temperature distribution map is generated, and the temperature distribution map consists of a high temperature area and a low temperature area; In step S200: The temperature prediction model divides the display screen into several display areas according to the rules, matches them with the high-temperature areas in the temperature distribution map, extracts the display areas that overlap with the high-temperature areas in the temperature distribution map and marks high-temperature hazards, and predicts the future temperature of each display area marked with high-temperature hazards; The heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with high temperature potential predicted by the temperature prediction model.

2. The method for thermal management and heat dissipation optimization of a glass-based fine pitch display screen according to claim 1, characterized in that: The step S100 is specifically as follows: S101, using a thermal imaging camera to collect real-time temperature of the display screen to obtain a thermal imaging image of the display screen; S102, deploying multiple temperature sensors in the core area of ​​the display screen to collect temperature data; S103, matching the thermal image with the temperature data collected by each temperature sensor to obtain a matched thermal image, and performing analysis.

3. The method for thermal management and heat dissipation optimization of a glass-based fine pitch display screen according to claim 2, characterized in that: The step S103 is specifically as follows: S1031, converting the temperature data collected by each temperature sensor into a form matching the thermal image through an interpolation method, to ensure that the temperature distribution of the temperature sensor data and the thermal image is consistent; S1032, according to the installation position of each temperature sensor, the temperature data collected by each temperature sensor is matched with the area corresponding to the thermal image, and the sensor data can be integrated into the thermal image through coordinate transformation or direct mapping to obtain a combined thermal image; S1033. Compare the thermal image and the temperature data collected by each temperature sensor in the same area to check whether the temperatures of the two are consistent; for areas where the difference is greater than the set value, data correction is required to ensure the accuracy of the temperature information.

4. The method for thermal management and heat dissipation optimization of a glass-based fine pitch display screen according to claim 3, characterized in that: After obtaining the combined thermal image in step S103, further processing is performed on the thermal image; S1041. Based on bilateral filtering, a dynamic adjustment mechanism is added to better remove noise from thermal images, thereby improving image accuracy. The specific steps are as follows: Define the size of a window; Through the sliding window algorithm, starting from the upper left corner of the thermal image, the entire thermal image is gradually scanned, so that the window can traverse every area of ​​the thermal image; In each area after the window slides, calculate the local temperature statistics in the area, the local temperature statistics include the local temperature standard deviation and the local temperature average; According to the calculated local temperature standard deviation and local temperature average, the spatial standard deviation parameter and the intensity standard deviation parameter in the bilateral filter are dynamically adjusted; Assume that filtering is currently performed at pixel x: ， Among them, I filtered (x) is the pixel value after bilateral filtering, Ω(x) is the neighborhood area centered on x, w(x,y) is the weight, adjusted according to the spatial standard deviation and intensity standard deviation; I(y) is the original value of pixel y in the neighborhood area Ω(x); S1042, performing heat source identification on the denoised thermal image; Set the hotspot threshold T threshold ; Traverse the entire thermal image and compare each pixel with the hotspot threshold T threshold Make comparisons; ， Among them, Hotspot(x, y) represents the heat source state of pixel (x, y) on the thermal image, T(x, y) is the temperature at pixel (x, y), 1 represents the heat source area, and 0 represents the non-heat source area; S1043, color mapping is performed on the thermal image after heat source identification, different temperature values ​​correspond to different colors, and the color of each pixel is filled into the thermal image to generate a temperature distribution map, which consists of a high temperature area and a low temperature area.

5. The method for optimizing thermal management and heat dissipation of a glass-based fine pitch display screen according to claim 4, characterized in that: The heat dissipation management system in step S200 includes a substrate-level heat dissipation module, an active heat dissipation module and a passive heat dissipation module; the substrate-level heat dissipation module includes a microchannel structure built into the substrate, and the microchannel is used for the flow of coolant; the active heat dissipation module includes an array of miniature silent fans arranged on the back of the display screen; the passive heat dissipation module includes an additional phase change material.

6. The method for thermal management and heat dissipation optimization of a glass-based fine pitch display screen according to claim 5, characterized in that: In step S200, the temperature prediction model divides the display screen into several display areas according to the rules, matches them with the high temperature areas in the temperature distribution map, extracts the display areas that overlap with the high temperature areas in the temperature distribution map and marks high temperature hazards, and predicts the future temperature of each display area marked with high temperature hazards as follows: S201, calculating the impact of the load on each display area marked with a high temperature hazard; T L (t)=a i L i (t)+β i Among them, α i is the coefficient of load on temperature, L i (t) represents the load of the ith region; S202, calculating the influence of the ambient temperature on each display area marked with a high temperature hazard; T E (t) =γ i E(t)+δ i Among them, γ i is the coefficient of the influence of ambient temperature on temperature, E(t) is the ambient temperature, δ i is the bias term of ambient temperature; S203, calculating the impact of the display content on each display area marked with a high temperature hazard; ， Among them, θ i and is the bias term of the displayed content, C(t) is the dynamic change of the displayed content; S204: Construct a temperature prediction model and predict the temperature T of each display area marked with high temperature potential at time t+Δt in the future total (t+Δt); T total (t+Δt)=T L (t+Δt)+T E (t+Δt)+T c (t+Δt)。 7. The method for optimizing thermal management and heat dissipation of a glass-based fine pitch display screen according to claim 6, characterized in that: In the step S200, the heat dissipation management system performs targeted early heat dissipation based on the future temperature of each display area marked with a high temperature hazard predicted by the temperature prediction model, specifically: Each display area is independently bound to a micro silent fan and micro channel branch; When the future temperature T of each displayed area marked with high temperature potential total When (t+Δt) is lower than the safety threshold, each micro silent fan runs at the reference speed, and the coolant flow rate in the micro channel maintains the reference flow rate; If the future temperature T of a displayed area marked with high temperature hazard total When (t+Δt) exceeds the safety threshold, the speed of the micro silent fan in the corresponding display area is increased, and the flow rate of the coolant in the microchannel is increased through the boost pump; if the temperature continues to rise, the brightness of the display screen is reduced and the display ratio of high-heat colors is limited.

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