A low-loss control system and display device for organic electroluminescent material

Abstract

The present invention discloses a low-loss control system and display device for organic electroluminescent materials, belonging to the field of display technology. The low-loss control system monitors the temperature of the organic electroluminescent material by setting a sensor module, and converts the monitored temperature of the organic electroluminescent material into a temperature electrical signal. The machine algorithm unit in the microcontrol module builds a temperature change model according to the real-time temperature electrical signal obtained. In addition, a microchannel heat dissipation module is also provided. The microchannel heat dissipation module includes a plurality of microchannels and a flowing medium arranged in the microchannel. The temperature of the organic electroluminescent material can be reduced by the flowing medium. The microcontrol module is combined with the temperature change model and the real-time temperature electrical signal obtained to control the microchannel heat dissipation module to cool the organic electroluminescent material, thereby realizing timely reduction of the temperature of the organic electroluminescent material, thereby reducing the loss of the organic electroluminescent material.

Description

Technical Field

[0001] The present invention relates to the field of display technology, and in particular to a low-loss control system and a display device of an organic electroluminescent material. Background Art

[0002] Organic electroluminescent materials are a type of organic material that can emit light under the action of an electric field. Organic electroluminescence means that under a certain electric field, electrons and holes in organic materials are injected and recombined inside the material, releasing energy and emitting light in the form of photons. Organic electroluminescent materials have broad application prospects in the field of flat panel displays. Organic electroluminescent displays have the advantages of self-luminescence, wide viewing angle, high contrast, fast response speed, and flexible display, and are considered to be a strong competitor for the next generation of display technology.

[0003] However, during the operation of existing organic electroluminescent materials, the organic electroluminescent materials will generate heat, causing the temperature to rise. In addition, excessively high current density will cause the organic electroluminescent materials to heat up, and high temperature will accelerate the aging and degradation of the organic electroluminescent materials, reduce the luminous efficiency, and increase losses. For example, after working for a long time, the organic electroluminescent display will experience brightness decay due to heat, thereby affecting the user experience. Summary of the invention

[0004] In view of the above technical problems, the purpose of the present invention is to provide a low-loss control system and a display device for organic electroluminescent materials, which can quickly reduce the temperature of the organic electroluminescent materials, thereby reducing the loss of the organic electroluminescent materials.

[0005] In order to achieve the above object, the present invention provides a low-loss control system for an organic electroluminescent material, comprising:

[0006] A sensor module, the sensor module is used to monitor the temperature of the organic electroluminescent material, and the sensor module converts the monitored temperature of the organic electroluminescent material into a temperature electrical signal;

[0007] A microchannel heat dissipation module, wherein at least a portion of the microchannel heat dissipation module is directly attached to the organic electroluminescent material, and the microchannel heat dissipation module is used to reduce the temperature of the organic electroluminescent material. The microchannel heat dissipation module includes a plurality of microchannels and a flow medium arranged in the microchannels, and adjacent microchannels are interconnected. The microchannels are directly arranged on the outer surface of the organic electroluminescent material, and the flow medium flows in the microchannels to reduce the temperature of the organic electroluminescent material;

[0008] A microcontrol module, wherein the microcontrol module is respectively communicatively connected with the sensor module and the microchannel heat dissipation module, the microcontrol module comprises a machine algorithm unit, the machine algorithm unit is used to construct a temperature change model according to the real-time temperature electrical signal acquired, and the microcontrol module controls the microchannel heat dissipation module to cool the organic electroluminescent material in combination with the temperature change model and the acquired temperature electrical signal.

[0009] In some preferred embodiments of the present invention, the sensor module includes a plurality of thermistor sensors and a Hall effect current sensor, wherein the plurality of thermistor sensors are distributedly arranged on the organic electroluminescent material for monitoring temperature changes in different areas of the organic electroluminescent material, and the Hall effect current sensor is arranged in a driving circuit of the organic electroluminescent material for monitoring current changes in real time, and when the monitored current value of the organic electroluminescent material exceeds a set threshold current value, the current is reduced in time to prevent the organic electroluminescent material from generating excessively high temperature.

[0010] In some preferred embodiments of the present invention, the sensor module also includes a circuit processing unit, which includes an amplifying circuit, a filtering circuit and an analog-to-digital conversion circuit, and the amplifying circuit, the filtering circuit and the analog-to-digital conversion circuit are electrically connected respectively. The amplifying circuit is used to amplify the monitored temperature electrical signal to generate a temperature amplified signal, and the temperature amplified signal is passed through the filtering circuit to remove noise and interference to generate a temperature analog electrical signal, and the temperature analog electrical signal is converted into a temperature digital electrical signal through the analog-to-digital conversion circuit.

[0011] In some preferred embodiments of the present invention, the microchannel is circular in shape with an inner diameter of 10 to 900 μm, and the microchannel is distributed on the back or side of the organic electroluminescent material through an etching process, and the flowing medium in the microchannel is gas.

[0012] In some preferred embodiments of the present invention, the microchannel heat dissipation module includes a cooling unit, one end of the cooling unit is connected to the air outlet of the microchannel, and the other end is connected to the air inlet of the microchannel. The cooling unit includes a heat pipe and a fluid storage unit. The heat pipe is used to cool the gas, and the cooled gas is stored in the fluid storage unit.

[0013] In some preferred embodiments of the present invention, the microchannel heat dissipation module includes a gas control unit, which includes an air pump and a pipeline. The air pump is connected to the microchannel through the pipeline, and the gas control unit receives instructions from the microcontrol module to control the air pump to adjust the flow rate of the gas in the microchannel.

[0014] In some preferred embodiments of the present invention, the machine algorithm unit includes a neural network model, and the temperature change model is constructed by the neural network model. The neural network model includes dividing the data set, dividing the collected data into a training set, a validation set and a test set, the training set is used to train the temperature change model, the validation set is used to adjust temperature-related parameters and evaluate the performance of the temperature change model during the training process, and the test set is used to ultimately evaluate the generalization ability of the temperature change model. The neural network model also includes selecting an optimization algorithm and a training model. During the training process, the weights and biases of the neural network are continuously adjusted by the optimization algorithm.

[0015] In some preferred embodiments of the present invention, the type of the neural network model includes a multilayer perceptron, the input of the multilayer perceptron is characteristic information that causes temperature changes, and the output is a predicted temperature value. The model training of the multilayer perceptron specifically includes inputting input data into the model of the multilayer perceptron, calculating the output through forward propagation, and then calculating the error between the predicted temperature value and the true value according to the loss function, and using the back propagation algorithm to calculate the gradient of the loss function to the model parameters to update the weights and biases of the multilayer perceptron model, and then repeating this process until the model of the multilayer perceptron converges or reaches a predetermined number of training rounds.

[0016] In some preferred embodiments of the present invention, the microcontrol module combines the temperature change model and the acquired temperature electrical signal to control the microchannel heat dissipation module to cool the organic electroluminescent material, specifically including: the microcontrol module analyzes the current temperature electrical signal of the organic electroluminescent material and predicts the future temperature change trend through the temperature change model; based on the future temperature change predicted by the temperature change model under different control strategies, the microcontrol module sends a control signal to the microchannel heat dissipation module to control the microchannel heat dissipation module to select a cooling method corresponding to the prediction result.

[0017] In some preferred embodiments of the present invention, an organic electroluminescent display device is further provided, comprising: the low-loss control system of the organic electroluminescent material.

[0018] Compared with the prior art, the low-loss control system and display device of organic electroluminescent material provided by the present invention have the following beneficial effects:

[0019] The present invention provides a low-loss control system for an organic electroluminescent material. The temperature of the organic electroluminescent material is monitored by a sensor module, and the monitored temperature of the organic electroluminescent material is converted into a temperature electrical signal. The microcontrol module receives the temperature electrical signal, and the machine algorithm unit in the microcontrol module constructs a temperature change model according to the real-time temperature electrical signal obtained. Since the microchannel heat dissipation module is directly attached to the organic electroluminescent material, and the microchannel heat dissipation module includes a plurality of microchannels and a flowing medium arranged in the microchannel, the temperature of the organic electroluminescent material can be reduced by the flowing medium. Then, the microcontrol module controls the microchannel heat dissipation module to cool the organic electroluminescent material in combination with the temperature change model and the real-time temperature electrical signal obtained, thereby realizing timely reduction of the temperature of the organic electroluminescent material. Since the temperature change model is combined with the real-time temperature electrical signal obtained, the effective prediction of the future temperature of the organic electroluminescent material is improved, and the organic electroluminescent material can be efficiently cooled in time, thereby reducing the loss of the organic electroluminescent material. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0021] Figure 1 It is a structural schematic diagram of a low-loss control system of an organic electroluminescent material according to a preferred embodiment of the present invention;

[0022] Figure 2 It is a structural schematic diagram of a microchannel heat dissipation module in a low-loss control system of an organic electroluminescent material in a preferred embodiment of the present invention;

[0023] Figure 3 It is a flow chart of the training process of the training model in the low-loss control system of the organic electroluminescent material according to the preferred embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0025] In order to simplify the drawings, only the parts related to the invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0026] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] In this document, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0028] In addition, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0029] The present invention provides a low-loss control system for an organic electroluminescent material, comprising: a sensor module, wherein the sensor module is used to monitor the temperature of the organic electroluminescent material, and the sensor module converts the monitored temperature of the organic electroluminescent material into a temperature electrical signal, wherein the sensor module comprises a plurality of thermistor sensors and a Hall effect current sensor, wherein the plurality of thermistor sensors are distributedly arranged on the organic electroluminescent material, and are used to monitor the temperature change of different regions of the organic electroluminescent material, and the Hall effect current sensor is arranged in a driving circuit of the organic electroluminescent material, and is used to monitor the change of current in real time, and when the monitored current value of the organic electroluminescent material exceeds a set threshold current value, the current is reduced in time to prevent the organic electroluminescent material from generating an excessively high temperature.

[0030] In addition, the sensor module also includes a circuit processing unit, which includes an amplifying circuit, a filtering circuit and an analog-to-digital conversion circuit. The amplifying circuit, the filtering circuit and the analog-to-digital conversion circuit are electrically connected respectively. The amplifying circuit is used to amplify the monitored temperature electrical signal to generate a temperature amplified signal. The temperature amplified signal is passed through the filtering circuit to remove noise and interference to generate a temperature analog electrical signal. The temperature analog electrical signal is converted into a temperature digital electrical signal through the analog-to-digital conversion circuit.

[0031] The low-loss control system of the organic electroluminescent material also includes a microchannel heat dissipation module, which is at least partially directly bonded to the organic electroluminescent material. The microchannel heat dissipation module is used to reduce the temperature of the organic electroluminescent material. The microchannel heat dissipation module includes a plurality of microchannels and a flowing medium arranged in the microchannels. Adjacent microchannels are interconnected, and the microchannels are directly arranged on the outer surface of the organic electroluminescent material. The flowing medium is used to flow in the microchannel to reduce the temperature of the organic electroluminescent material. The microchannel is circular in shape with an inner diameter between 10 and 900 μm, and the microchannels are distributed on the back or side of the organic electroluminescent material through an etching process, and the flowing medium in the microchannel is a gas.

[0032] Specifically, the microchannel heat dissipation module includes a cooling unit, one end of the cooling unit is connected to the air outlet of the microchannel, and the other end is connected to the air inlet of the microchannel. The cooling unit includes a heat pipe and a fluid storage unit. The heat pipe is used to cool the gas, and the cooled gas is stored in the fluid storage unit. In addition, the microchannel heat dissipation module also includes a gas control unit, which includes an air pump and a pipeline. The air pump is connected to the microchannel through the pipeline. The gas control unit receives instructions from the microcontrol module to control the air pump to adjust the flow rate of the gas in the microchannel.

[0033] The low-loss control system of the organic electroluminescent material is also provided with a microcontroller module, which is respectively connected to the sensor module and the microchannel heat dissipation module in communication, and includes a machine algorithm unit, which is used to construct a temperature change model according to the real-time temperature electrical signal obtained, and the microcontroller module controls the microchannel heat dissipation module to cool the organic electroluminescent material in combination with the temperature change model and the obtained temperature electrical signal. The temperature change model is constructed by a neural network model, which includes dividing the data set, dividing the collected data into a training set, a validation set and a test set, the training set is used to train the temperature change model, the validation set is used to adjust the temperature-related parameters and evaluate the performance of the temperature change model during the training process, and the test set is used to finally evaluate the generalization ability of the temperature change model, and the neural network model also includes selecting an optimization algorithm and a training model, and during the training process, the weights and biases of the neural network are continuously adjusted by the optimization algorithm.

[0034] Among them, the type of the neural network model includes a multilayer perceptron, the input of the multilayer perceptron is the characteristic information that causes the temperature change, and the output is the predicted temperature value. The model training of the multilayer perceptron specifically includes inputting the input data into the model of the multilayer perceptron, calculating the output through forward propagation, and then calculating the error between the predicted temperature value and the true value according to the loss function, and using the back propagation algorithm to calculate the gradient of the loss function to the model parameters to update the weights and biases of the multilayer perceptron model, and then repeating this process until the model of the multilayer perceptron converges or reaches a predetermined number of training rounds.

[0035] The microcontrol module controls the microchannel heat dissipation module to cool the organic electroluminescent material in combination with the temperature change model and the acquired temperature electrical signal, specifically comprising: the microcontrol module analyzes the current temperature electrical signal of the organic electroluminescent material, predicts the future temperature change trend according to the temperature change model, predicts the future temperature change under different control strategies through the temperature change model, and the microcontrol module sends a control signal to the microchannel heat dissipation module according to the prediction result of the temperature change model to control the microchannel heat dissipation module to select a cooling method corresponding to the prediction result.

[0036] The present invention also provides an organic electroluminescent display device, comprising: the low-loss control system of the organic electroluminescent material.

[0037] A low-loss control system and display device for organic electroluminescent materials provided by the present invention can timely reduce the temperature of the organic electroluminescent materials. By combining a temperature change model with a temperature electrical signal acquired in real time, the effective prediction of the future temperature of the organic electroluminescent materials is improved, and the organic electroluminescent materials can be efficiently cooled in time, thereby reducing the loss of the organic electroluminescent materials.

[0038] Specifically, in this embodiment, please refer to Figures 1 to 3 ,in, Figure 1 is a schematic structural diagram of a low-loss control system of an organic electroluminescent material according to a preferred embodiment of the present invention, Figure 2 is a structural schematic diagram of a microchannel heat dissipation module in a low-loss control system of an organic electroluminescent material according to a preferred embodiment of the present invention, and Figure 3 It is a flow chart of the training process of the training model in the low-loss control system of the organic electroluminescent material according to the preferred embodiment of the present invention.

[0039] In this embodiment, please refer to Figure 1 , Figure 2 and Figure 3The present invention provides a low-loss control system 1 for an organic electroluminescent material, comprising: a sensor module 10, wherein the sensor module 10 is used to monitor the temperature of the organic electroluminescent material, and the sensor module 10 converts the monitored temperature of the organic electroluminescent material into a temperature electrical signal. In this embodiment, the sensor module 10 comprises a plurality of thermistor sensors, and the plurality of thermistor sensors are distributedly arranged on the organic electroluminescent material to facilitate all-round monitoring of the temperature of different regions. By measuring the change in the resistance value of the thermistor sensor, the temperature information of the organic electroluminescent material can be indirectly obtained, which is used to monitor the temperature change of different regions of the organic electroluminescent material in real time, so that the control system can make corresponding adjustments according to the temperature change to reduce the influence of temperature on material performance and loss.

[0040] In this embodiment, the sensor module 10 includes a Hall effect current sensor, which is arranged in the driving circuit of the organic electroluminescent material for monitoring the change of current in real time. When the monitored current value of the organic electroluminescent material exceeds the set threshold current value, the microcontroller module 30 promptly controls the driving circuit to reduce the current to prevent the organic electroluminescent material from generating too high a temperature due to excessive current. It is also possible to determine whether the organic electroluminescent material is aging or faulty by analyzing the change trend of the current. In addition, the performance stability of the organic electroluminescent material can be evaluated by comparing the current data of different time periods.

[0041] In this embodiment, considering that in some special cases, the temperature electrical signal output by the thermistor sensor may be relatively weak, this problem is solved by setting a circuit processing unit in the sensor module 10. The circuit processing unit includes an amplifying circuit, a filtering circuit and an analog-to-digital conversion circuit. The amplifying circuit, the filtering circuit and the analog-to-digital conversion circuit are electrically connected respectively. The amplifying circuit is used to amplify the monitored temperature electrical signal to generate a temperature amplified signal, thereby improving the signal strength and signal-to-noise ratio for subsequent processing and analysis. The temperature amplified signal can more accurately reflect the characteristic changes of the organic electroluminescent material and provide a more reliable input signal.

[0042] Among them, the filtering circuit is used to remove noise and interference in the temperature amplified signal. In the working environment of the organic electroluminescent material, there may be various interference and noise signals, which will affect the measurement accuracy of the sensor module 10. In this embodiment, the filtering circuit includes capacitor and inductor elements. The filtering circuit filters the input temperature amplified signal to remove unnecessary frequency components, thereby improving the quality and reliability of the signal.

[0043] In addition, since the characteristics of the sensor may be affected by environmental factors (such as temperature, humidity, etc.), resulting in deviations in the measurement results, the sensor module 10 can also be provided with a compensation circuit to solve this problem. The compensation circuit can compensate the output signal of the sensor according to changes in environmental factors to improve the measurement accuracy. For example, in the temperature compensation circuit, a temperature sensor can be used to measure the ambient temperature, and then the output signal of the sensor can be corrected according to the relationship between the temperature and the characteristics of the sensor.

[0044] In this embodiment, the sensor module 10 includes an analog-to-digital conversion circuit, and the temperature analog electrical signal is converted into a temperature digital electrical signal through the analog-to-digital conversion circuit. The low-loss process of the organic electroluminescent material can be monitored and controlled more accurately, and the signal collected by the thermistor sensor can be converted into a digital signal in real time to respond to changes in the material in a timely manner. Of course, the sensor module 10 is provided with a power supply unit, which is used to provide a stable power supply for the sensor module 10. A DC power supply is usually used, such as a battery or a voltage-stabilized power supply module. The power supply unit needs to have good voltage stabilization performance and filtering function to ensure that the sensor module 10 can obtain a stable power supply under different working conditions to ensure its normal operation.

[0045] In this embodiment, please refer to Figure 2 The low-loss control system 1 of the organic electroluminescent material further comprises a microchannel heat dissipation module 20, wherein the microchannel heat dissipation module 20 is at least partially directly attached to the organic electroluminescent material, and the microchannel heat dissipation module 20 is used to reduce the temperature of the organic electroluminescent material. The microchannel heat dissipation module 20 comprises a plurality of microchannels 200 and a flow medium arranged in the microchannels 200, and the adjacent microchannels 200 are interconnected, and the microchannels 200 are directly arranged on the outer surface of the organic electroluminescent material, and the flow medium is used to flow in the microchannels 200 to reduce the temperature of the organic electroluminescent material. In this embodiment, the The microchannel 200 is integrally formed with the organic electroluminescent material and is directly arranged on the back side of the organic electroluminescent material. For example, the several microchannels 200 are directly etched on the back side of the organic electroluminescent material through an etching process. Of course, several microchannels 200 can also be etched on the side of the organic electroluminescent material. In other implementations, several microchannels 200 can also be etched on the back and side of the organic electroluminescent material. The shape of the microchannel 200 is circular, and the inner diameter is between 10 and 900 μm. The circular shape of the microchannel 200 has certain advantages in terms of uniformity of fluid flow and can reduce the generation of local eddy currents.

[0046] In this embodiment, the material of the inner wall of the microchannel 200 is silicon, and the flowing medium in the microchannel 200 is gas. Since the gas is chemically inactive under normal conditions, it is not easy to react chemically with the organic electroluminescent material, and will not cause chemical corrosion or pollution to the cooled organic electroluminescent material, thereby ensuring the safety of the cooling process. In addition, the gas has good fluidity and can flow quickly and be evenly distributed in the microchannel 200, so that the heat can be taken away more effectively and the uniform cooling of the organic electroluminescent material can be achieved. In this embodiment, the best gas is nitrogen.

[0047] In addition, in this embodiment, please refer to Figure 2 The microchannel heat dissipation module 20 includes a cooling unit 201, one end of the cooling unit 201 is connected to the air outlet of the microchannel 200, and the other end is connected to the air inlet of the microchannel 200. The cooling unit 201 includes a heat pipe 2010 and a fluid storage unit 2011. The heat pipe 2010 is used to cool the gas, and the cooled gas is stored in the fluid storage unit 2011. Specifically, the heat pipe 2010 includes a tube shell, a liquid wick and a working medium. When the gas in the microchannel 200 contacts one end of the heat pipe 2010, the working medium evaporates in the liquid wick, and the vapor flows to the other end under the action of the pressure difference, where it condenses and releases heat, and then the working medium flows back to the heated end through the capillary action of the liquid wick, completing a cycle. The cooled gas is stored in the fluid storage unit 2011. The heat pipe 2010 has an extremely high thermal conductivity and can effectively dissipate the heat generated by the organic electroluminescent material to achieve the purpose of cooling.

[0048] In order to achieve a better cooling effect, the microchannel heat dissipation module 20 also includes a gas control unit, which includes an air pump and a pipeline. The air pump is connected to the microchannel 200 through the pipeline. The gas control unit receives instructions from the microcontrol module 30 to control the air pump to adjust the flow rate of the gas in the microchannel 200. The material of the pipeline has good sealing and pressure resistance. For example, for compressed gas, a pressure-resistant rubber tube or metal tube can be used. Optimally, the air pump is initialized when it is just started. The initialization includes checking the working status of the air pump and setting the initial gas flow parameters. The air pump is electrically connected to the microcontrol module 30 for receiving control instructions. The microcontrol module 30 sends an initialization instruction to the air pump to make it enter a default working mode, such as running at a lower speed or stopping.

[0049] In this embodiment, the microcontrol module 30 in the low-loss control system 1 of the organic electroluminescent material is respectively communicated with the sensor module 10 and the microchannel heat dissipation module 20, and the microcontrol module 30 includes a machine algorithm unit, which is used to construct a temperature change model according to the real-time temperature electrical signal obtained. The microcontrol module 30 combines the temperature change model and the obtained temperature electrical signal to control the microchannel heat dissipation module 20 to cool the organic electroluminescent material.

[0050] In this embodiment, the machine algorithm unit includes a neural network model, and the temperature change model is constructed through the neural network model. The neural network model includes dividing the data set, dividing the collected data into a training set, a validation set and a test set. The training set is used to train the temperature change model, and the validation set is used to adjust temperature-related parameters and evaluate the performance of the temperature change model during the training process. The test set is used to ultimately evaluate the generalization ability of the temperature change model. The neural network model also includes selecting an optimization algorithm and a training model. During the training process, the weights and biases of the neural network model are continuously adjusted through the optimization algorithm.

[0051] In this embodiment, the acquired data set is usually divided into a training set, a validation set, and a test set in a certain ratio, such as 70% training set, 20% validation set, and 10% test set. Of course, this is not the only division ratio. The specific ratio can be adjusted according to the amount of data and actual needs. The division process is random to avoid systematic deviations of the data. For example, a random number generator can be used to determine which set each data point belongs to.

[0052] Among them, the training set is the main data set for learning the temperature change model. The training set contains a large number of temperature change samples and corresponding input features. Through iterative learning of the training set, the weights and biases of the neural network model are adjusted to minimize the prediction error. Of course, the larger the data volume of the training set, the richer the temperature change model can usually learn. In addition, the validation set is used to monitor the performance of the model, adjust temperature-related parameters, such as learning rate, network structure, and prevent overfitting. After each training cycle, the temperature change model is evaluated on the validation set. According to evaluation indicators, such as mean square error or mean absolute error, it is judged whether the model is improving. If the performance of the model on the validation set is no longer improved, it is necessary to adjust the hyperparameters of the temperature change model or stop training to avoid overfitting. In this embodiment, the test set is an independent data set used to finally evaluate the generalization ability of the model. The test set is not used in the model training process. Only after the model training is completed, the test set is used to evaluate the performance of the temperature change model on data that has never been seen. The evaluation result of the test set can reflect the performance of the model in practical applications and is an important basis for judging whether the model is effective.

[0053] In this embodiment, the training model includes initializing the neural network, specifically, randomly initializing the weights and biases of the neural network model. The initialization can affect the training speed and final performance of the model. In this embodiment, the initialization methods used are Xavier initialization and He initialization, which determine the distribution of initial weights according to the structure and activation function of the neural network model. The training model also includes forward propagation, specifically, inputting the input temperature data in the training set into the neural network model, and calculating through each layer of the neural network model to obtain a predicted temperature value. In the forward propagation process, the input temperature data is weighted and summed, and the output data of each neuron is obtained through activation function processing, wherein the activation function can be ReLU, which can effectively avoid the gradient disappearance problem and has a faster calculation speed. In this embodiment, the training model also includes calculating the loss function, specifically, calculating the loss function according to the predicted temperature value and the actual temperature data. The loss function is used to measure the prediction error of the model. The loss functions that can be used are mean square error (MSE) or mean absolute error (MAE). The smaller the value of the loss function, the more accurate the prediction of the model.

[0054] In this embodiment, the training model can also use back propagation, and the gradient of the loss function to the weights and biases of the neural network is calculated through the back propagation algorithm. The back propagation algorithm uses the chain rule, starting from the output layer, and calculates the gradient of each neuron in turn, and backpropagates the gradient to the previous layer. The gradient represents the rate of change of the loss function with the parameter. The direction and size of the parameter adjustment can be determined by the gradient. In the best implementation method, the training model also sets parameter updates, that is, using the selected optimization algorithm to update the weights and biases of the neural network model according to the calculated gradient. The optimization algorithm determines the step size and direction of the parameter update by adjusting the learning rate and using historical gradient information, and continuously repeats the process of forward propagation, calculating the loss function, back propagation and parameter update until the temperature change model converges or reaches a predetermined number of training rounds.

[0055] In this embodiment, please refer to Figure 3 , the specific method of the training model is as follows:

[0056] S1: Randomly initialize the weights and biases of the neural network model;

[0057] S2: Input the input temperature data in the training set into the neural network model, and obtain the predicted temperature value by calculating through each layer of the neural network model;

[0058] S3: Calculate the loss function based on the predicted temperature value and the actual temperature data, and use the loss function to measure the prediction error of the model;

[0059] S4: Calculate the gradient of the loss function with respect to the weights and biases of the neural network through the back-propagation algorithm. The back-propagation algorithm uses the chain rule to calculate the gradient of each neuron in turn starting from the output layer and propagating the gradient back to the previous layer.

[0060] S5: Use the selected optimization algorithm to update the weights and biases of the neural network model according to the calculated gradients, adjust the learning rate through the optimization algorithm and use the historical gradient information to determine the step size and direction of parameter updates;

[0061] S6: Repeat the process of S2, S3, S4 and S5 until the temperature change model converges or reaches a predetermined number of training rounds.

[0062] In this embodiment, in order to achieve better training results, the training model is set to monitor the training process. During the training process, the performance of the model is regularly evaluated on the validation set, and the changes in training loss and validation loss are recorded. The loss curve is drawn to observe the convergence of the model.

[0063] In addition, in this embodiment, the type of the neural network model includes a multilayer perceptron, the input of the multilayer perceptron is characteristic information that causes temperature changes, and the output is a predicted temperature value. The model training of the multilayer perceptron specifically includes inputting input data into the model of the multilayer perceptron, calculating the output through forward propagation, and then calculating the error between the predicted temperature value and the true value according to the loss function, and using the back propagation algorithm to calculate the gradient of the loss function to the model parameters to update the weights and biases of the multilayer perceptron model, and then repeating this process until the model of the multilayer perceptron converges or reaches a predetermined number of training rounds.

[0064] In this embodiment, the microcontrol module 30 combines the temperature change model and the acquired temperature electrical signal to control the microchannel heat dissipation module 20 to cool the organic electroluminescent material, specifically including: the microcontrol module 30 analyzes the current temperature electrical signal of the organic electroluminescent material, predicts the future temperature change trend according to the temperature change model, and predicts the future temperature change under different control strategies through the temperature change model. The microcontrol module 30 sends a control signal to the microchannel heat dissipation module 20 according to the prediction result of the temperature change model to control the microchannel heat dissipation module 20 to select a cooling method corresponding to the prediction result.

[0065] Specifically, in this embodiment, the microcontroller module 30 analyzes the prediction results of the temperature change model, compares the temperature changes under different control strategies, and selects the optimal control strategy according to the preset optimization goal. In addition, the prediction results can be further evaluated and verified, for example, whether the prediction results are within a reasonable range or whether they are consistent with actual experience. Then, according to the selected optimal control strategy, the microcontroller module 30 generates a corresponding control signal, wherein the control signal includes at least one of an instruction to adjust the cooling gas flow rate, an instruction to control the speed of the cooling fan, or an instruction to start a backup cooling device. The microcontroller module 30 sends the generated control signal to the microchannel heat dissipation module 20, wherein a wired communication method such as serial communication or I2C communication can be used, or a wireless communication method such as Bluetooth or Wi-Fi can be used to transmit the control signal. After receiving the control signal, the microchannel heat dissipation module 20 adjusts its own working state according to the content of the control signal to achieve cooling of the organic electroluminescent material.

[0066] The present invention also provides an organic electroluminescent display device, comprising: the low-loss control system 1 of the organic electroluminescent material, the organic electroluminescent display device adopts the low-loss control system 1 of the organic electroluminescent material to achieve the purpose of cooling, and the details can be referred to the above content and will not be repeated here.

[0067] In this embodiment, the temperature of the organic electroluminescent material is monitored by the sensor module 10, and the monitored temperature of the organic electroluminescent material is converted into a temperature electrical signal. The microcontrol module 30 receives the temperature electrical signal, and the machine algorithm unit in the microcontrol module 30 constructs a temperature change model according to the real-time temperature electrical signal obtained. Since the microchannel heat dissipation module 20 is directly attached to the organic electroluminescent material, and the microchannel heat dissipation module 20 includes a plurality of microchannels 200 and a flowing medium arranged in the microchannel 200, the temperature of the organic electroluminescent material can be reduced by the flowing medium. Then, the microcontrol module 30 combines the temperature change model and the real-time temperature electrical signal obtained to control the microchannel heat dissipation module 20 to cool the organic electroluminescent material, thereby realizing timely reduction of the temperature of the organic electroluminescent material. By combining the temperature change model with the real-time temperature electrical signal obtained, the effective prediction of the future temperature of the organic electroluminescent material is improved, and the organic electroluminescent material can be efficiently cooled in time, thereby reducing the loss of the organic electroluminescent material.

[0068] It should be noted that the above embodiments can be freely combined as needed. The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention.

[0069] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0070] In addition, the terms "system" and "network" are often used interchangeably in this article. The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0071] It should be understood that in the embodiment of the present invention, "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0072] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0073] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0074] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0075] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0076] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0077] Through the description of the above embodiments, it is clear to those skilled in the art that the present invention can be implemented in hardware, firmware, or a combination thereof. When implemented using software, the above functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein the communication media include any medium that facilitates the transmission of computer programs from one place to another. The storage medium can be any available medium that a computer can access. Taking this as an example but not limited to: a computer-readable medium can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer. In addition. Any connection can be appropriately a computer-readable medium. For example, if the software is transmitted from a website, server or other remote source using a coaxial cable, optical fiber cable, twisted pair, digital subscriber line (DSL) or wireless technologies such as infrared, radio and microwaves, then the coaxial cable, optical fiber cable, twisted pair, DSL or wireless technologies such as infrared, wireless and microwaves are included in the fixing of the medium. As used in the present invention, disk and disc include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blue-ray disc, wherein disk usually reproduces data magnetically, while disc uses laser to reproduce data optically. The above combination should also be included in the scope of protection of computer-readable media.

[0078] In short, the above is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A low-loss control system for an organic electroluminescent material, characterized in that: include: A sensor module, the sensor module is used to monitor the temperature of the organic electroluminescent material, and the sensor module converts the monitored temperature of the organic electroluminescent material into a temperature electrical signal, the sensor module includes a plurality of thermistor sensors and a Hall effect current sensor, the plurality of thermistor sensors are distributedly arranged on the organic electroluminescent material, and are used to monitor the temperature change of different areas of the organic electroluminescent material, the Hall effect current sensor is arranged in the driving circuit of the organic electroluminescent material, and is used to monitor the change of current in real time, when the monitored current value of the organic electroluminescent material exceeds a set threshold current value, the current is reduced in time to prevent the organic electroluminescent material from generating an excessively high temperature; A microchannel heat dissipation module, wherein at least a portion of the microchannel heat dissipation module is directly attached to the organic electroluminescent material, the microchannel heat dissipation module is used to reduce the temperature of the organic electroluminescent material, the microchannel heat dissipation module comprises a plurality of microchannels and a flowing medium arranged in the microchannels, adjacent microchannels are interconnected, and the microchannels are directly arranged on the outer surface of the organic electroluminescent material, the flowing medium flows in the microchannels to reduce the temperature of the organic electroluminescent material, the microchannel heat dissipation module comprises a cooling unit, one end of the cooling unit is connected to the outlet of the microchannel The gas inlet is connected to the microchannel, and the other end is connected to the gas inlet of the microchannel. The cooling unit includes a heat pipe and a fluid storage unit. The heat pipe is used to cool the gas, and the cooled gas is stored in the fluid storage unit. The heat pipe includes a tube shell, a liquid wick and a working medium. When the gas in the microchannel contacts one end of the heat pipe, the working medium evaporates in the liquid wick, and the vapor flows to the other end under the action of the pressure difference, where it condenses and releases heat. Then, the working medium flows back to the heated end through the capillary action of the liquid wick, completing a cycle. The cooled gas is stored in the fluid storage unit; A microcontrol module, wherein the microcontrol module is respectively connected to the sensor module and the microchannel heat dissipation module in communication, and the microcontrol module includes a machine algorithm unit, wherein the machine algorithm unit is used to construct a temperature change model according to the real-time temperature electrical signal acquired, and the microcontrol module controls the microchannel heat dissipation module to cool the organic electroluminescent material in combination with the temperature change model and the acquired temperature electrical signal, specifically comprising: the microcontrol module analyzes the current temperature electrical signal of the organic electroluminescent material and predicts the future temperature change trend through the temperature change model, and according to the future temperature change predicted by the temperature change model under different control strategies, the microcontrol module sends a control signal to the microchannel heat dissipation module to control the microchannel heat dissipation module to select a cooling method corresponding to the predicted result; The microchannel heat dissipation module includes a gas control unit, which includes an air pump and a pipeline. The air pump is connected to the microchannel through the pipeline. The gas control unit receives instructions from the microcontrol module to control the air pump to adjust the flow rate of the gas in the microchannel.

2. The low-loss control system of organic electroluminescent material according to claim 1, characterized in that: The sensor module also includes a circuit processing unit, which includes an amplifying circuit, a filtering circuit and an analog-to-digital conversion circuit. The amplifying circuit, the filtering circuit and the analog-to-digital conversion circuit are electrically connected respectively. The amplifying circuit is used to amplify the monitored temperature electrical signal to generate a temperature amplified signal. The temperature amplified signal is passed through the filtering circuit to remove noise and interference to generate a temperature analog electrical signal. The temperature analog electrical signal is converted into a temperature digital electrical signal through the analog-to-digital conversion circuit.

3. The low-loss control system of organic electroluminescent material according to claim 1, characterized in that: The microchannel is circular in shape, with an inner diameter between 10 and 900 μm, and is distributed on the back or side of the organic electroluminescent material through an etching process, and the flow medium in the microchannel is gas.

4. The low-loss control system of organic electroluminescent material according to claim 1, characterized in that: The machine algorithm unit includes a neural network model, and the temperature change model is constructed through the neural network model. The neural network model includes dividing the data set, dividing the collected data into a training set, a validation set and a test set. The training set is used to train the temperature change model, the validation set is used to adjust temperature-related parameters and evaluate the performance of the temperature change model during the training process, and the test set is used to ultimately evaluate the generalization ability of the temperature change model. The neural network model also includes selecting an optimization algorithm and a training model. During the training process, the weights and biases of the neural network are continuously adjusted through the optimization algorithm.

5. The low-loss control system of the organic electroluminescent material according to claim 4, characterized in that: The types of neural network models include multilayer perceptrons, the input of the multilayer perceptron is characteristic information that causes temperature changes, and the output is a predicted temperature value. The model training of the multilayer perceptron specifically includes inputting input data into the model of the multilayer perceptron, calculating the output through forward propagation, and then calculating the error between the predicted temperature value and the true value according to the loss function, and using the backpropagation algorithm to calculate the gradient of the loss function to the model parameters to update the weights and biases of the multilayer perceptron model, and then repeating this process until the model of the multilayer perceptron converges or reaches a predetermined number of training rounds.

6. An organic electroluminescent display device, characterized in that: include: A low-loss control system for an organic electroluminescent material according to at least one of claims 1 to 5.

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