Organic electroluminescent film heat dissipation device

Abstract

The invention relates to the technical field of organic electroluminescence regulation. The invention provides an organic electroluminescent film heat dissipation device, which is also used for a data acquisition unit, a control parameter generation unit, a monitoring unit, a data processing unit and an optimization unit. The data of heat dissipation of the organic electroluminescent film is acquired by an integrated data acquisition unit. The control parameters are optimized according to the data obtained by the monitoring unit to achieve dynamic adjustment of the heat dissipation process. A random forest model is trained using historical operation data to generate heat dissipation control parameters, and operation data is acquired in real time through the monitoring unit. If a temperature error exceeds a set range, a genetic algorithm is used to optimize the heat dissipation control model until the heat dissipation demand is met. The invention improves the heat dissipation efficiency of the organic electroluminescent film heat dissipation device and prolongs the service life of the organic electroluminescent film.

Description

Technical Field

[0001] The invention relates to the technical field of organic electroluminescence regulation, and in particular to an organic electroluminescence film heat dissipation device. Background Art

[0002] Organic electroluminescent film is a thin film material that can emit light under the action of an electric field. When appropriate electrodes are plated on the surface of a film composed of a strong fluorescent organic substance and a certain voltage is applied, the organic electroluminescent film will emit light. The luminescence principle of organic electroluminescent film is that under the action of an electric field, holes injected from the positive electrode and electrons injected from the negative electrode meet in the light-emitting layer to form excitons and recombine to produce light. Organic electroluminescent film has broad application prospects in the fields of flat panel displays, smart phones, etc., adding more color and vitality to modern scientific and technological life.

[0003] In the heat dissipation process of the organic electroluminescent film, in order to effectively monitor and manage the heat dissipation process, it is necessary to collect the temperature, current, voltage and other parameters of the film in real time, and analyze and process them through a special data processing device. Through data analysis, we can timely discover abnormalities in the heat dissipation process of the organic electroluminescent film, and take corresponding measures to optimize the heat dissipation of the organic electroluminescent film, thereby improving the heat dissipation efficiency of the organic electroluminescent film, so that the organic electroluminescent film can maintain a stable temperature environment during normal operation, thereby extending its service life and improving its performance stability.

[0004] The following technical pain points exist in the heat dissipation process of the organic electroluminescent film. The organic electroluminescent film will generate a large amount of heat when working. The existing organic electroluminescent film heat dissipation device relies on a single heat dissipation control parameter for heat dissipation. The existing organic electroluminescent film heat dissipation device cannot be dynamically adjusted according to the actual heat dissipation requirements of the organic electroluminescent film. Therefore, the present invention provides an organic electroluminescent film heat dissipation device. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an organic electroluminescent film heat dissipation device to solve the problem that the existing organic electroluminescent film heat dissipation device relies on a single heat dissipation control parameter for heat dissipation and the existing organic electroluminescent film heat dissipation device cannot be dynamically adjusted according to the actual heat dissipation requirements of the organic electroluminescent film.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0007] The present invention provides an organic electroluminescent film heat dissipation device, comprising:

[0008] A data acquisition unit acquires historical organic electroluminescent film operation data, wherein the historical organic electroluminescent film operation data includes historical temperature data of the organic electroluminescent film, historical current data of the organic electroluminescent film, historical voltage data of the organic electroluminescent film, historical state data of the organic electroluminescent film heat dissipation device, and historical environmental data of the organic electroluminescent film, and uses the historical organic electroluminescent film operation data to train a random forest model to obtain an organic electroluminescent film heat dissipation control model;

[0009] A control parameter generating unit receives an organic electroluminescent film heat dissipation task, the organic electroluminescent film heat dissipation task includes an expected temperature of the organic electroluminescent film heat dissipation, organic electroluminescent film heat dissipation time data and a maximum error range of the organic electroluminescent film heat dissipation, substitutes the organic electroluminescent film heat dissipation task into an organic electroluminescent film heat dissipation control model, and outputs an organic electroluminescent film heat dissipation control parameter;

[0010] A monitoring unit, which substitutes the organic electroluminescent film heat dissipation control parameters into the organic electroluminescent film heat dissipation device, monitors the operation data of the organic electroluminescent film heat dissipation device after executing the organic electroluminescent film heat dissipation control parameters, and obtains first real-time organic electroluminescent film operation data, wherein the first real-time organic electroluminescent film operation data includes real-time temperature data of the first organic electroluminescent film, real-time current data of the first organic electroluminescent film, real-time voltage data of the first organic electroluminescent film, real-time status data of the first organic electroluminescent film heat dissipation device, and real-time environment data of the first organic electroluminescent film;

[0011] The data processing unit compares the first real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation to obtain the first organic electroluminescent film real-time temperature error, compares the first organic electroluminescent film real-time temperature error with the maximum error range of the organic electroluminescent film heat dissipation, and if the first organic electroluminescent film real-time temperature error exceeds the maximum error range of the organic electroluminescent film heat dissipation, stores and records the first organic electroluminescent film real-time temperature error;

[0012] The optimization unit uses a genetic algorithm to optimize the organic electroluminescent film heat dissipation control model based on the real-time temperature error of the first organic electroluminescent film, the organic electroluminescent film heat dissipation control parameters and the historical organic electroluminescent film operation data to obtain an optimized organic electroluminescent film heat dissipation control model, uses the optimized organic electroluminescent film heat dissipation control model to perform data processing on the organic electroluminescent film heat dissipation task to obtain optimized organic electroluminescent film heat dissipation control parameters, substitutes the optimized organic electroluminescent film heat dissipation control parameters into the organic electroluminescent film heat dissipation device to obtain second real-time organic electroluminescent film operation data, compares the second real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation, and obtains to the real-time temperature error of the second organic electroluminescent film, compare the real-time temperature error of the second organic electroluminescent film with the maximum error range of the organic electroluminescent film heat dissipation, and obtain the comparison result of the real-time temperature error of the second organic electroluminescent film. If the comparison result of the real-time temperature error of the second organic electroluminescent film still exceeds the maximum error range of the organic electroluminescent film heat dissipation, continue to use the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film until the organic electroluminescent film heat dissipation device executes the optimized organic electroluminescent film heat dissipation control parameters. When the real-time temperature error of the organic electroluminescent film does not exceed the maximum error range of the organic electroluminescent film heat dissipation, stop using the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film.

[0013] Furthermore, the organic electroluminescent thin film heat dissipation device of the present invention, the optimization unit further includes:

[0014] When the optimization of the heat dissipation control model of the organic electroluminescent film reaches a maximum number of optimization iterations, the use of the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film is stopped.

[0015] Furthermore, in the organic electroluminescent thin film heat dissipation device of the present invention, the control parameter generating unit is also used for:

[0016] The expected temperature of the organic electroluminescent film heat dissipation, the organic electroluminescent film heat dissipation time data and the maximum error range of the organic electroluminescent film heat dissipation are used as input parameters, substituted into the organic electroluminescent film heat dissipation control model trained by historical data, and the historical organic electroluminescent film operation data is used as training data;

[0017] The heat dissipation control model is built based on the random forest algorithm, which predicts the optimal heat dissipation control parameters based on the input parameters and training data;

[0018] After calculation by the heat dissipation control model, the heat dissipation control parameters of the organic electroluminescent film are output, and the heat dissipation control parameters of the organic electroluminescent film include the power of the heat dissipation device and the speed of the heat dissipation fan;

[0019] The output heat dissipation control parameters are applied to the organic electroluminescent film heat dissipation device, and the operation data of the heat dissipation device and the temperature change of the organic electroluminescent film are monitored in real time.

[0020] Furthermore, in the organic electroluminescent thin film heat dissipation device of the present invention, the monitoring unit is also used for:

[0021] According to the outputted heat dissipation control parameters of the organic electroluminescent film, the heat dissipation device is configured, and the configuration of the heat dissipation device includes setting the power of the heat dissipation device and the speed of the heat dissipation fan;

[0022] Applying the configured heat dissipation control parameters to the organic electroluminescent film heat dissipation device, starting the heat dissipation device, and monitoring the operation data of the heat dissipation device after executing the heat dissipation control parameters in real time to obtain first real-time organic electroluminescent film operation data;

[0023] The error between the real-time temperature data of the first organic electroluminescent film and the expected heat dissipation temperature of the organic electroluminescent film is compared to obtain the error value between the real-time temperature data of the first organic electroluminescent film and the expected heat dissipation temperature of the organic electroluminescent film.

[0024] Furthermore, in the organic electroluminescent thin film heat dissipation device of the present invention, the data processing unit is also used for:

[0025] Subtracting the first organic electroluminescent film real-time temperature data from the expected heat dissipation temperature to obtain the first organic electroluminescent film real-time temperature error, the first organic electroluminescent film real-time temperature error being equal to the first organic electroluminescent film real-time temperature data minus the expected heat dissipation temperature of the organic electroluminescent film;

[0026] Comparing the calculated real-time temperature error of the first organic electroluminescent film with the maximum error range of heat dissipation of the organic electroluminescent film to determine whether the error exceeds the set maximum error range;

[0027] If the real-time temperature error of the first organic electroluminescent film exceeds the maximum error range of heat dissipation of the organic electroluminescent film, the error value is recorded.

[0028] Furthermore, in the organic electroluminescent thin film heat dissipation device of the present invention, the optimization unit is also used for:

[0029] By comparing the temperature data in the second real-time organic electroluminescent film operation data with the expected heat dissipation temperature, the real-time temperature error of the second organic electroluminescent film is calculated;

[0030] Directly comparing the real-time temperature error of the second organic electroluminescent film with the maximum error range of heat dissipation to determine whether the real-time temperature error is less than or equal to the maximum error range;

[0031] If the real-time temperature error of the second organic electroluminescent film is less than or equal to the maximum error range of heat dissipation, the heat dissipation control parameters meet the heat dissipation requirements, and the optimization of the heat dissipation control model is stopped at this time;

[0032] If the real-time temperature error of the second organic electroluminescent film is greater than the maximum error range of heat dissipation, the current heat dissipation control parameters still need to be optimized to reduce the temperature error.

[0033] Furthermore, the organic electroluminescent film heat dissipation device of the present invention is also used for:

[0034] Generate an initial population, randomly generate a group of individuals as the initial population, each individual represents a heat dissipation control parameter;

[0035] receiving a minimized temperature error of heat dissipation of the organic electroluminescent film, and setting the minimized temperature error of heat dissipation of the organic electroluminescent film as a fitness function for evaluating the quality of each individual;

[0036] Selection operation, which evaluates the fitness of each individual according to the fitness function and selects individuals with higher fitness as parents to generate the next generation;

[0037] Crossover operation: perform crossover operation on the selected parent individuals to generate new offspring individuals;

[0038] Mutation operation, performing mutation operation on offspring individuals;

[0039] The selection, crossover and mutation operations are performed repeatedly to generate a new population and evaluate the fitness of the new population. According to the fitness evaluation results, the individuals in the population are continuously updated. When the maximum number of iterations or the minimized temperature error of the heat dissipation of the organic electroluminescent film is reached, the iteration is stopped and the optimal individual in the current population is output as the optimized heat dissipation control parameter.

[0040] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0041] The present invention generates heat dissipation control parameters according to real-time data to improve heat dissipation efficiency and flexibility. The heat dissipation process is monitored and optimized in real time to ensure temperature stability and extend the service life of the organic electroluminescent film. The present invention combines machine learning and genetic algorithms to achieve automated and intelligent heat dissipation control, effectively manage the heat dissipation of the organic electroluminescent film device, and improve the stability of the organic electroluminescent film device. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 A schematic diagram of the process of an organic electroluminescent film heat dissipation device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0045] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0046] The present invention provides an organic electroluminescent thin film heat dissipation device. The device described in the present invention is a virtual device, which is used to process and analyze data of the organic electroluminescent thin film heat dissipation device, and includes:

[0047] A data acquisition unit acquires historical organic electroluminescent film operation data, wherein the historical organic electroluminescent film operation data includes historical temperature data of the organic electroluminescent film, historical current data of the organic electroluminescent film, historical voltage data of the organic electroluminescent film, historical state data of the organic electroluminescent film heat dissipation device, and historical environmental data of the organic electroluminescent film, and uses the historical organic electroluminescent film operation data to train a random forest model to obtain an organic electroluminescent film heat dissipation control model;

[0048] When acquiring historical organic electroluminescent film operation data, the data acquisition unit acquires a variety of information including historical temperature data, historical current data, historical voltage data, historical state data of the heat sink, and historical environment data of the organic electroluminescent film.

[0049] The data acquisition unit is responsible for collecting various historical data from the operation process of the organic electroluminescent film, including:

[0050] Historical temperature data: records the temperature values ​​of the organic electroluminescent film at different time points to reflect its thermal state. Temperature data is an indicator for evaluating the heat dissipation effect and is also an important input feature when training the model.

[0051] Historical current data: records the current value passing through the organic electroluminescent film, reflecting its electrical characteristics during operation. Current data helps analyze the working status and heat dissipation requirements of the film.

[0052] Historical voltage data: records the voltage value across the organic electroluminescent film, and together with the current data describes its electrical behavior.

[0053] Voltage data is important for understanding the power dissipation and heat generation of the film.

[0054] Cooling device historical status data: records the working status of cooling devices (such as fans, heat sinks, etc.), such as speed, power, etc.

[0055] Historical environmental data: Records the ambient temperature, humidity and other external conditions when the organic electroluminescent film is running. Environmental data is very important for evaluating the factors affecting the heat dissipation effect and establishing a more accurate heat dissipation control model.

[0056] After obtaining the historical data, use this data to train the random forest model. Random forest is an integrated learning method that combines the prediction results of multiple decision trees to improve the accuracy and stability of the model. The training process includes the following steps:

[0057] The collected historical data is cleaned, denoised and normalized to improve the effect of model training. Features useful for the heat dissipation control model, such as temperature, current, voltage, etc., are extracted from the historical data. Through feature selection, the complexity of the model can be reduced and the accuracy of the prediction can be improved.

[0058] The heat dissipation control model is constructed using the random forest algorithm. During the construction process, the performance of the model is optimized by adjusting the parameters of the random forest (such as the number of decision trees, maximum depth, etc.).

[0059] The model is trained using historical data, and the model's predictive ability is evaluated through methods such as cross-validation. Based on the evaluation results, the model is adjusted and optimized until it meets the requirements of heat dissipation control.

[0060] The trained organic electroluminescent film heat dissipation control model can be applied to the actual heat dissipation control process. By real-time monitoring of the film's temperature, current, voltage and other parameters, and inputting these data into the model, the model can output optimized heat dissipation control parameters (such as the power of the heat sink, the speed of the fan, etc.). These control parameters can dynamically adjust the working state of the heat sink to meet the actual heat dissipation needs of the film, thereby extending its service life and improving performance stability.

[0061] To summarize, the data acquisition unit collects historical organic electroluminescent film operation data and uses these data to train the random forest model to obtain the organic electroluminescent film heat dissipation control model. The organic electroluminescent film heat dissipation control model can dynamically adjust the heat dissipation control parameters according to the actual operation data, which solves the problem that the existing heat dissipation device relies on a single control parameter for heat dissipation and improves the heat dissipation efficiency and accuracy.

[0062] A control parameter generating unit receives an organic electroluminescent film heat dissipation task, the organic electroluminescent film heat dissipation task includes an expected temperature of the organic electroluminescent film heat dissipation, organic electroluminescent film heat dissipation time data and a maximum error range of the organic electroluminescent film heat dissipation, substitutes the organic electroluminescent film heat dissipation task into an organic electroluminescent film heat dissipation control model, and outputs an organic electroluminescent film heat dissipation control parameter;

[0063] The control parameter generation unit receives heat dissipation tasks from the device in the organic electroluminescent thin film heat dissipation device, and generates optimized heat dissipation control parameters according to these tasks to ensure that the film can dissipate heat efficiently and stably. The following is a detailed description of this process:

[0064] The control parameter generation unit first receives the organic electroluminescent film heat dissipation tasks from the device. These tasks usually include the following key elements:

[0065] Expected temperature of organic electroluminescent film heat dissipation: refers to the target temperature that the device expects the film to reach during the heat dissipation process.

[0066] The setting of the expected temperature needs to take into account factors such as the working characteristics of the film, the ambient temperature, and the capacity of the heat dissipation device.

[0067] Organic electroluminescent film heat dissipation time data: refers to the time range or specific time point when the film needs to reach the expected temperature.

[0068] The setting of the heat dissipation time data should ensure that the film can reach a stable heat dissipation state within a reasonable time to avoid damage to the film caused by overheating or overcooling.

[0069] The maximum error range of heat dissipation of organic electroluminescent film refers to the maximum deviation between the actual temperature and the expected temperature allowed by the device.

[0070] The setting of the maximum error range needs to take into account factors such as measurement accuracy, fluctuations in the heat sink, and thermal stability of the film.

[0071] The control parameter generation unit substitutes the received heat dissipation task into the trained organic electroluminescent film heat dissipation control model. The organic electroluminescent film heat dissipation control model is built based on a large amount of historical operation data and advanced machine learning algorithms (such as random forests), which can accurately predict and calculate heat dissipation control parameters.

[0072] Through the calculation of the organic electroluminescent film heat dissipation control model, the control parameter generation unit outputs a set of optimized heat dissipation control parameters. These parameters usually include the power of the heat dissipation device, the speed of the fan, the size or number of the heat sink, etc., which together determine the heat dissipation capacity of the heat dissipation device.

[0073] The output heat dissipation control parameters are transmitted to the heat dissipation device to adjust its working state to meet the heat dissipation requirements of the film. Through real-time monitoring and feedback mechanism, the control parameter generation unit can also dynamically adjust the control parameters according to the actual heat dissipation of the film to ensure the stability and accuracy of the heat dissipation effect.

[0074] In summary, the control parameter generation unit realizes precise control of the heat dissipation process of the organic electroluminescent film by receiving the heat dissipation task, substituting it into the heat dissipation control model, and outputting the heat dissipation control parameters. This process not only improves the heat dissipation efficiency, but also extends the service life of the film, providing strong technical support for its wide application in the display field.

[0075] A monitoring unit, which substitutes the organic electroluminescent film heat dissipation control parameters into the organic electroluminescent film heat dissipation device, monitors the operation data of the organic electroluminescent film heat dissipation device after executing the organic electroluminescent film heat dissipation control parameters, and obtains first real-time organic electroluminescent film operation data, wherein the first real-time organic electroluminescent film operation data includes real-time temperature data of the first organic electroluminescent film, real-time current data of the first organic electroluminescent film, real-time voltage data of the first organic electroluminescent film, real-time status data of the first organic electroluminescent film heat dissipation device, and real-time environment data of the first organic electroluminescent film;

[0076] The monitoring unit is responsible for substituting the heat dissipation control parameters of the organic electroluminescent film into the heat dissipation device in the organic electroluminescent film heat dissipation device, and monitoring the operation data of the heat dissipation device after executing these control parameters in real time. The following is a detailed explanation of this process:

[0077] The monitoring unit first receives the heat dissipation control parameters of the organic electroluminescent film from the control parameter generation unit. These parameters are calculated based on the heat dissipation task (including expected temperature, heat dissipation time data and maximum error range) and the heat dissipation control model to ensure that the film can dissipate heat efficiently and stably.

[0078] After the heat dissipation device executes the heat dissipation control parameters, the monitoring unit starts to monitor its operation data in real time. These data include but are not limited to:

[0079] The first organic electroluminescent film real-time temperature data, the monitoring unit measures the temperature of the film in real time through components such as temperature sensors to evaluate whether the heat dissipation effect reaches the expected level.

[0080] The first organic electroluminescent film real-time current data monitors the current passing through the film in real time to analyze its impact on the heat dissipation effect and ensure that the current value is within a safe range.

[0081] The first organic electroluminescent film real-time voltage data measures the voltage across the film to monitor its electrical state and serves as an important reference for heat dissipation control.

[0082] The first organic electroluminescent film heat dissipation device real-time status data monitors the working status of the heat dissipation device (such as fans, heat sinks, etc.), and is also used for speed, power, etc. to ensure its normal operation and meet the heat dissipation requirements.

[0083] The first organic electroluminescent film real-time environmental data records the ambient temperature, humidity and other external conditions when the film is running to analyze their impact on the heat dissipation effect.

[0084] The monitoring unit processes and analyzes the collected first real-time organic electroluminescent film operation data. This includes pre-processing steps such as data cleaning, denoising, and normalization, as well as advanced processing steps such as feature extraction and statistical analysis. Through these processes, the monitoring unit can more accurately evaluate the heat dissipation effect and provide strong support for subsequent feedback and optimization.

[0085] Based on the real-time operation data monitored, the monitoring unit can determine whether the heat dissipation effect meets expectations. If it does, the current heat dissipation control parameters will continue to be maintained; if it does not, the real-time data will be fed back to the control parameter generation unit, and parameter optimization will be recommended. Through this feedback and optimization mechanism, the device can continuously adjust the heat dissipation control parameters to ensure that the film always maintains the best heat dissipation state.

[0086] In summary, the monitoring unit has achieved comprehensive monitoring and control of the heat dissipation process of the organic electroluminescent film by substituting heat dissipation control parameters, monitoring operation data, data processing and analysis, and feedback and optimization. This process not only improves the heat dissipation efficiency, but also improves the stability of the film, providing strong technical support for its wide application in display and other fields.

[0087] The data processing unit compares the first real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation to obtain the first organic electroluminescent film real-time temperature error, compares the first organic electroluminescent film real-time temperature error with the maximum error range of the organic electroluminescent film heat dissipation, and if the first organic electroluminescent film real-time temperature error exceeds the maximum error range of the organic electroluminescent film heat dissipation, stores and records the first organic electroluminescent film real-time temperature error;

[0088] The data processing unit undertakes the important tasks of comparison, analysis and judgment in the organic electroluminescent thin film heat dissipation device. The following is a detailed explanation of its workflow:

[0089] The data processing unit first receives the first real-time organic electroluminescent film operation data from the monitoring unit, including the first organic electroluminescent film real-time temperature data. Then, it compares the real-time temperature data with the expected temperature of the organic electroluminescent film heat dissipation, and obtains the first organic electroluminescent film real-time temperature error by calculation.

[0090] Next, the data processing unit compares the real-time temperature error of the first organic electroluminescent film with the maximum error range of the organic electroluminescent film heat dissipation. This step is the key to determining whether the current heat dissipation effect meets the requirements of the device. If the real-time temperature error of the first organic electroluminescent film is within the maximum error range of the organic electroluminescent film heat dissipation, this means that the current heat dissipation effect is satisfactory and the heat dissipation device is working as expected. The data processing unit will continue to monitor and record data, but will not trigger any alarms or optimization processes. If the real-time temperature error of the first organic electroluminescent film exceeds the maximum error range of the organic electroluminescent film heat dissipation: This indicates that the current heat dissipation effect does not meet the requirements of the device, and there may be a risk of insufficient heat dissipation or overheating. The data processing unit will immediately store and record this real-time temperature error as an important basis for subsequent analysis and optimization.

[0091] When the real-time temperature error of the first organic electroluminescent film exceeds the maximum error range, the data processing unit ensures that the error value is accurately stored and recorded. This usually involves writing the data into a database or log file of the device for subsequent detailed analysis and processing. After storing and recording the temperature error, the data processing unit may trigger a series of subsequent processing processes, which are also used for but not limited to:

[0092] Alarm mechanism: Sends alarm information to device administrators or operators to remind them of current heat dissipation problems.

[0093] Optimization suggestions: Based on the stored temperature error data, the data analysis unit (possibly working in conjunction with the control parameter generation unit) will make suggestions for optimizing the thermal control parameters.

[0094] Historical Data Analysis: Perform in-depth analysis of stored temperature error data to identify any potential trends or patterns, which can help prevent future thermal issues.

[0095] In summary, the data processing unit improves the stability of the organic electroluminescent thin film heat dissipation device by comparing the real-time temperature with the expected temperature, judging whether the temperature error is within the allowable range, and storing and recording the temperature error. When it is found that the heat dissipation effect does not meet the requirements, it can trigger the subsequent processing flow in time to solve the problem as soon as possible and restore the normal operation of the device.

[0096] The optimization unit uses a genetic algorithm to optimize the organic electroluminescent film heat dissipation control model based on the real-time temperature error of the first organic electroluminescent film, the organic electroluminescent film heat dissipation control parameters and the historical organic electroluminescent film operation data to obtain an optimized organic electroluminescent film heat dissipation control model, uses the optimized organic electroluminescent film heat dissipation control model to perform data processing on the organic electroluminescent film heat dissipation task to obtain optimized organic electroluminescent film heat dissipation control parameters, substitutes the optimized organic electroluminescent film heat dissipation control parameters into the organic electroluminescent film heat dissipation device to obtain second real-time organic electroluminescent film operation data, compares the second real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation, and obtains to the real-time temperature error of the second organic electroluminescent film, compare the real-time temperature error of the second organic electroluminescent film with the maximum error range of the organic electroluminescent film heat dissipation, and obtain the comparison result of the real-time temperature error of the second organic electroluminescent film. If the comparison result of the real-time temperature error of the second organic electroluminescent film still exceeds the maximum error range of the organic electroluminescent film heat dissipation, continue to use the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film until the organic electroluminescent film heat dissipation device executes the optimized organic electroluminescent film heat dissipation control parameters. When the real-time temperature error of the organic electroluminescent film does not exceed the maximum error range of the organic electroluminescent film heat dissipation, stop using the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film.

[0097] The optimization unit is responsible for optimizing the heat dissipation control model using genetic algorithms in the organic electroluminescent thin film heat dissipation device to ensure that the heat dissipation effect is optimal. The following is a detailed explanation of the optimization unit's workflow:

[0098] The optimization unit first collects the real-time temperature error of the first organic electroluminescent film, the heat dissipation control parameters of the organic electroluminescent film, and the historical operation data of the organic electroluminescent film.

[0099] The optimization unit inputs the collected data into the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film. The genetic algorithm simulates biological processes such as natural selection, genetic variation and crossover to find the optimal solution in the solution space, thereby obtaining the optimized heat dissipation control model of the organic electroluminescent film.

[0100] Using the optimized heat dissipation control model, the optimization unit generates new heat dissipation control parameters for the organic electroluminescent film.

[0101] The optimization unit substitutes the optimized heat dissipation control parameters into the organic electroluminescent thin film heat dissipation device. Subsequently, the monitoring unit starts to monitor the operation data of the heat dissipation device in real time to obtain second real-time organic electroluminescent thin film operation data.

[0102] The optimization unit compares the temperature data in the second real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation, and obtains the real-time temperature error of the second organic electroluminescent film by calculation.

[0103] The optimization unit compares the real-time temperature error of the second organic electroluminescent film with the maximum error range of the heat dissipation of the organic electroluminescent film. If the real-time temperature error of the second organic electroluminescent film does not exceed the maximum error range, it means that the optimization effect is good and the optimization can be stopped. If the real-time temperature error of the second organic electroluminescent film still exceeds the maximum error range, it means that the optimization effect is not good and optimization needs to be continued.

[0104] If the optimization effect is not good, the optimization unit will continue to use the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film. This process will be repeated until the heat dissipation control parameters that meet the requirements are found. When the organic electroluminescent film heat dissipation device implements the optimized heat dissipation control parameters, if the real-time temperature error does not exceed the maximum error range, the optimization unit will stop using the genetic algorithm to optimize the heat dissipation control model. At this point, it can be considered that the heat dissipation device has reached the optimal state and no further optimization is required.

[0105] In summary, the optimization unit ensures the stability of the organic electroluminescent film heat dissipation device by collecting data, applying genetic algorithms, verifying optimization effects, and continuous optimization. By continuously optimizing the heat dissipation control model and control parameters, the device can more accurately control the heat dissipation process and reduce temperature errors, thereby improving the service life and performance of the organic electroluminescent film.

[0106] Specifically, the organic electroluminescent thin film heat dissipation device of the present invention, the optimization unit further includes:

[0107] When the optimization of the heat dissipation control model of the organic electroluminescent film reaches a maximum number of optimization iterations, the use of the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film is stopped.

[0108] In the process of optimizing the heat dissipation control model of organic electroluminescent film using genetic algorithm in the optimization unit, in addition to the previously mentioned steps of collecting data, applying genetic algorithm, verifying optimization effect and continuous optimization, the number of optimization iterations also needs to be considered.

[0109] Set the maximum number of iterations. Before starting the optimization, the optimization unit will preset a maximum number of optimization iterations. This number is determined based on a combination of factors such as device requirements, computing resources, and optimization efficiency. The maximum number of iterations is set to prevent the optimization process from falling into an infinite loop and to ensure that the optimization process can be completed within a limited time.

[0110] During the optimization process, the optimization unit will record the current number of iterations and compare it with the preset maximum number of iterations.

[0111] When the number of iterations reaches or exceeds the maximum number of iterations, the optimization unit will stop using the genetic algorithm to optimize the heat dissipation control model regardless of whether the current optimization effect fully meets the requirements.

[0112] After stopping the optimization, the optimization unit will evaluate the final optimization effect. This includes comparing the temperature error before and after the optimization, analyzing the improvement of the heat dissipation efficiency, etc. If the optimization effect is still not ideal, you may need to consider adjusting the optimization strategy, increasing computing resources, or improving the genetic algorithm to further improve the optimization effect.

[0113] In summary, when the optimization unit uses the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film, it will consider setting the maximum number of optimization iterations as one of the stop conditions. When the number of iterations reaches or exceeds the maximum number of iterations, the optimization unit will stop the optimization process and evaluate the final optimization effect. This strategy ensures that the optimization process can be completed in a limited time and avoids the waste of resources.

[0114] Specifically, in the organic electroluminescent thin film heat dissipation device of the present invention, the control parameter generating unit is further used for:

[0115] The expected temperature of the organic electroluminescent film heat dissipation, the organic electroluminescent film heat dissipation time data and the maximum error range of the organic electroluminescent film heat dissipation are used as input parameters, substituted into the organic electroluminescent film heat dissipation control model trained by historical data, and the historical organic electroluminescent film operation data is used as training data;

[0116] The heat dissipation control model is built based on the random forest algorithm, which predicts the optimal heat dissipation control parameters based on the input parameters and training data;

[0117] After calculation by the heat dissipation control model, the heat dissipation control parameters of the organic electroluminescent film are output, and the heat dissipation control parameters of the organic electroluminescent film include the power of the heat dissipation device and the speed of the heat dissipation fan;

[0118] The output heat dissipation control parameters are applied to the organic electroluminescent film heat dissipation device, and the operation data of the heat dissipation device and the temperature change of the organic electroluminescent film are monitored in real time.

[0119] Input parameters: The control parameter generation unit first receives the expected temperature of the organic electroluminescent film heat dissipation, the organic electroluminescent film heat dissipation time data, and the maximum error range of the organic electroluminescent film heat dissipation as input parameters. These parameters are the basis of heat dissipation control and are used to guide the model to generate heat dissipation control parameters that meet the requirements.

[0120] Training data: At the same time, the unit inputs historical organic electroluminescent film operation data as training data into the heat dissipation control model. These data contain past heat dissipation control experience, which helps the model learn and predict better.

[0121] Model construction: The heat dissipation control model is constructed based on the random forest algorithm. Random forest is a powerful ensemble learning method that improves the accuracy and robustness of prediction by combining multiple decision trees. In the present invention, the random forest model is used to predict the optimal heat dissipation control parameters based on the input parameters and training data.

[0122] Prediction process: After receiving the input parameters and training data, the model predicts the optimal heat dissipation control parameters through a complex internal calculation process. These parameters include the power of the heat dissipation device and the speed of the cooling fan, which directly determine the heat dissipation effect.

[0123] Parameter output: After calculation by the heat dissipation control model, the control parameter generation unit outputs the heat dissipation control parameters of the organic electroluminescent film. These parameters are the optimal solutions predicted by the model based on the input parameters and training data, and are used to guide the operation of the heat dissipation device.

[0124] Parameter application: The output heat dissipation control parameters are applied to organic electroluminescent thin film heat dissipation devices. The heat dissipation device adjusts the power of the heat dissipation device and the speed of the heat dissipation fan according to these parameters to achieve precise heat dissipation control.

[0125] Real-time monitoring: After the heat dissipation control parameters are applied to the heat dissipation device, the control parameter generation unit monitors the operation data of the heat dissipation device and the temperature change of the organic electroluminescent film in real time. These data reflect the quality of the heat dissipation effect and the accuracy of the heat dissipation control parameters.

[0126] If the real-time monitored data indicates that the heat dissipation effect is not ideal or the temperature error exceeds the maximum error range, the control parameter generation unit may fine-tune the heat dissipation control model or re-predict the heat dissipation control parameters based on these data to achieve better heat dissipation effect.

[0127] The control parameter generation unit in the organic electroluminescent film heat dissipation device of the present invention receives input parameters and training data, uses a heat dissipation control model based on a random forest algorithm to predict the optimal heat dissipation control parameters, and applies these parameters to the heat dissipation device to achieve accurate heat dissipation control. At the same time, by real-time monitoring of the operating data of the heat dissipation device and the temperature change of the organic electroluminescent film, it provides strong support for subsequent optimization and adjustment. This design not only improves the heat dissipation efficiency, but also improves the stability of the organic electroluminescent film.

[0128] Specifically, in the organic electroluminescent thin film heat dissipation device of the present invention, the monitoring unit is also used for:

[0129] According to the outputted heat dissipation control parameters of the organic electroluminescent film, the heat dissipation device is configured, and the configuration of the heat dissipation device includes setting the power of the heat dissipation device and the speed of the heat dissipation fan;

[0130] Applying the configured heat dissipation control parameters to the organic electroluminescent film heat dissipation device, starting the heat dissipation device, and monitoring the operation data of the heat dissipation device after executing the heat dissipation control parameters in real time to obtain first real-time organic electroluminescent film operation data;

[0131] The error between the real-time temperature data of the first organic electroluminescent film and the expected heat dissipation temperature of the organic electroluminescent film is compared to obtain the error value between the real-time temperature data of the first organic electroluminescent film and the expected heat dissipation temperature of the organic electroluminescent film.

[0132] The organic electroluminescent film heat dissipation device is a dynamic heat dissipation device designed for organic electroluminescent films. It aims to solve the problem of organic electroluminescent films being affected in service life and display quality due to overheating under high-load usage environments. The heat dissipation device monitors the temperature changes of the panel in real time and automatically adjusts the heat dissipation effect as needed to ensure the optimal performance of the panel.

[0133] The monitoring unit functions include: heat dissipation device configuration, which configures the heat dissipation device according to the output organic electroluminescent film heat dissipation control parameters. This includes setting the power of the heat dissipation device and the speed of the heat dissipation fan to ensure that the heat dissipation effect matches the heat dissipation requirements of the panel. Apply the configured heat dissipation control parameters to the organic electroluminescent film heat dissipation device and start the heat dissipation device. Real-time monitoring of the operating data of the heat dissipation device after executing the heat dissipation control parameters to obtain the first real-time organic electroluminescent film operating data. These data include the real-time temperature of the panel, the working status of the heat dissipation device, etc.

[0134] Temperature error comparison: Compare the error between the real-time temperature data of the first organic electroluminescent film and the expected temperature of the organic electroluminescent film for heat dissipation to obtain the error value. This step is crucial for evaluating the heat dissipation effect and adjusting the heat dissipation strategy.

[0135] Receiving heat dissipation control parameters: The monitoring unit first receives heat dissipation control parameters from the control device or server, which are generated based on the real-time temperature data of the panel and the heat dissipation target information.

[0136] Configuring heat dissipation devices: Based on the received heat dissipation control parameters, the monitoring unit configures the heat dissipation devices and is also used to adjust the power of the heat dissipation device and the speed of the heat dissipation fan.

[0137] Apply and monitor: Apply the configured heat dissipation control parameters to the heat dissipation device and start the heat dissipation device. At the same time, the monitoring unit monitors the operating data of the heat dissipation device and the real-time temperature of the panel in real time.

[0138] The monitoring unit compares the error between the real-time temperature of the panel and the expected temperature of heat dissipation, and feeds back the error value to the control device or server. According to the error value, the control device or server can adjust the heat dissipation control parameters to optimize the heat dissipation effect.

[0139] Dynamic heat dissipation is achieved by real-time monitoring and adjusting the working status of the heat dissipation components to ensure the optimal performance of the panel under high-load usage environments.

[0140] High-precision monitoring uses advanced monitoring technology to monitor the temperature changes of the panel and the working status of the cooling components in real time, providing accurate data support for the adjustment of the cooling strategy.

[0141] Intelligent control realizes intelligent and automated heat dissipation control, improving heat dissipation efficiency and user experience.

[0142] In summary, the organic electroluminescent film heat dissipation device and its monitoring unit described in the present invention realize dynamic heat dissipation control of the organic electroluminescent film by real-time monitoring and adjusting the working status of the heat dissipation device. This technology not only improves the service life and display quality of the panel, but also provides a new direction for the development of intelligent display technology.

[0143] Specifically, in the organic electroluminescent thin film heat dissipation device of the present invention, the data processing unit is further used for:

[0144] Subtracting the first organic electroluminescent film real-time temperature data from the expected heat dissipation temperature to obtain the first organic electroluminescent film real-time temperature error, the first organic electroluminescent film real-time temperature error being equal to the first organic electroluminescent film real-time temperature data minus the expected heat dissipation temperature of the organic electroluminescent film;

[0145] Comparing the calculated real-time temperature error of the first organic electroluminescent film with the maximum error range of heat dissipation of the organic electroluminescent film to determine whether the error exceeds the set maximum error range;

[0146] If the real-time temperature error of the first organic electroluminescent film exceeds the maximum error range of heat dissipation of the organic electroluminescent film, the error value is recorded.

[0147] The data processing unit first receives the real-time temperature data of the first organic electroluminescent film from the monitoring unit, and subtracts the data from the expected heat dissipation temperature.

[0148] Formula: The real-time temperature error of the first organic electroluminescent film = the real-time temperature data of the first organic electroluminescent film - the expected temperature of the organic electroluminescent film for heat dissipation.

[0149] The data processing unit compares the calculated real-time temperature error of the first organic electroluminescent film with the maximum error range of the organic electroluminescent film heat dissipation, and determines whether the current temperature error exceeds the set maximum error range to evaluate whether the heat dissipation effect meets the requirements.

[0150] If the real-time temperature error of the first organic electroluminescent film exceeds the maximum error range of heat dissipation of the organic electroluminescent film.

[0151] The data processing unit will record the error value including the size of the error value, the time point of occurrence, etc. to provide data support for subsequent analysis, optimization or alarm.

[0152] When the temperature error exceeds the maximum error range, the data processing unit can trigger an alarm mechanism and send an alarm message to relevant personnel or devices so that timely measures can be taken to adjust the heat dissipation strategy. The recorded temperature error data can be used for subsequent data analysis to help optimize the heat dissipation control model or adjust the configuration of the heat dissipation device to improve the heat dissipation efficiency and accuracy. The data processing unit can be integrated with the control device of the heat dissipation device to achieve real-time temperature monitoring and error processing, forming a closed-loop heat dissipation control device.

[0153] The data processing unit in the organic electroluminescent thin film heat dissipation device of the present invention realizes accurate monitoring of the heat dissipation effect by calculating the real-time temperature error, comparing the maximum error range and recording the error value exceeding the range.

[0154] Specifically, in the organic electroluminescent thin film heat dissipation device of the present invention, the optimization unit is further used for:

[0155] By comparing the temperature data in the second real-time organic electroluminescent film operation data with the expected heat dissipation temperature, the real-time temperature error of the second organic electroluminescent film is calculated;

[0156] Directly comparing the real-time temperature error of the second organic electroluminescent film with the maximum error range of heat dissipation to determine whether the real-time temperature error is less than or equal to the maximum error range;

[0157] If the real-time temperature error of the second organic electroluminescent film is less than or equal to the maximum error range of heat dissipation, the heat dissipation control parameters meet the heat dissipation requirements, and the optimization of the heat dissipation control model is stopped at this time;

[0158] If the real-time temperature error of the second organic electroluminescent film is greater than the maximum error range of heat dissipation, the current heat dissipation control parameters still need to be optimized to reduce the temperature error.

[0159] The optimization unit first receives the second real-time organic electroluminescent film operation data from the monitoring unit, especially the temperature data, and then compares the temperature data with the expected heat dissipation temperature to obtain the second organic electroluminescent film real-time temperature error by calculation.

[0160] Calculation formula: second organic electroluminescent film real-time temperature error = second real-time organic electroluminescent film temperature data - expected heat dissipation temperature.

[0161] The optimization unit directly compares the calculated real-time temperature error of the second organic electroluminescent film with a preset maximum error range of heat dissipation, and determines whether the real-time temperature error is less than or equal to the maximum error range according to the comparison result.

[0162] If the real-time temperature error of the second organic electroluminescent film is less than or equal to the maximum error range of heat dissipation, it means that the current heat dissipation control parameters have met the heat dissipation requirements and the heat dissipation effect is good. Therefore, the optimization unit will stop further optimization of the heat dissipation control model. The current control parameters are recorded as the optimization result, or a signal of "optimization completed" is fed back to the control device.

[0163] If the real-time temperature error of the second organic electroluminescent film is greater than the maximum error range of heat dissipation, this indicates that the current heat dissipation control parameters still need to be optimized to further reduce the temperature error and improve the heat dissipation effect. The optimization unit will start the optimization procedure, which may include adjusting control parameters such as the power of the heat dissipation device and the speed of the heat dissipation fan, or fine-tuning the heat dissipation control model. Then, the new control parameters are applied to the heat dissipation device, and the temperature data is continuously monitored to evaluate the optimization effect.

[0164] The optimization unit in the organic electroluminescent film heat dissipation device can not only evaluate the heat dissipation effect in real time, but also automatically adjust the heat dissipation control parameters according to the evaluation results to ensure that the heat dissipation device always maintains the best working state. This dynamic optimization capability is of great significance for improving heat dissipation efficiency, extending the service life of the organic electroluminescent film, and improving the stability of the entire device.

[0165] In summary, the optimization unit in the organic electroluminescent thin film heat dissipation device of the present invention achieves precise control and continuous optimization of the heat dissipation effect by calculating the real-time temperature error, comparing the maximum error range and making optimization decisions.

[0166] Specifically, the organic electroluminescent film heat dissipation device of the present invention is also used for:

[0167] Generate an initial population, randomly generate a group of individuals as the initial population, each individual represents a heat dissipation control parameter;

[0168] receiving a minimized temperature error of heat dissipation of the organic electroluminescent film, and setting the minimized temperature error of heat dissipation of the organic electroluminescent film as a fitness function for evaluating the quality of each individual;

[0169] Selection operation, which evaluates the fitness of each individual according to the fitness function and selects individuals with higher fitness as parents to generate the next generation;

[0170] Crossover operation: perform crossover operation on the selected parent individuals to generate new offspring individuals;

[0171] Mutation operation, performing mutation operation on offspring individuals;

[0172] The selection, crossover and mutation operations are performed repeatedly to generate a new population and evaluate the fitness of the new population. According to the fitness evaluation results, the individuals in the population are continuously updated. When the maximum number of iterations or the minimized temperature error of the heat dissipation of the organic electroluminescent film is reached, the iteration is stopped and the optimal individual in the current population is output as the optimized heat dissipation control parameter.

[0173] The organic electroluminescent thin film heat dissipation device of the present invention adopts an optimization method based on a genetic algorithm to determine the best heat dissipation control parameters. The following are the detailed steps and explanations of the method:

[0174] Genetic algorithm optimizes the cooling control parameter process;

[0175] Generate an initial population;

[0176] Operation: Randomly generate a group of individuals as the initial population, each of which represents a heat dissipation control parameter.

[0177] Explanation: This is the beginning of the genetic algorithm, which provides a basis for the subsequent optimization process by randomly generating a set of possible solutions (i.e., thermal control parameters).

[0178] Set the fitness function;

[0179] Operation: Receive the minimized temperature error of the organic electroluminescent film heat dissipation and set it as the fitness function.

[0180] Explanation: The fitness function is used to evaluate the quality of each individual, that is, the effect of the heat dissipation control parameters. In the present invention, minimizing the temperature error is selected as the fitness function because the main goal of heat dissipation is to reduce and stabilize the temperature of the organic electroluminescent film.

[0181] Select an operation;

[0182] Operation: Evaluate the fitness of each individual according to the fitness function, and select individuals with higher fitness as parents to generate the next generation.

[0183] Explanation: This step is the "selection" process in the genetic algorithm. By evaluating the fitness of each individual, individuals with better performance are selected as the basis for subsequent optimization.

[0184] Crossover operation;

[0185] Operation: Perform a crossover operation on the selected parent individuals to generate new offspring individuals.

[0186] Explanation: The crossover operation is one of the core steps in the genetic algorithm. It generates new offspring individuals by combining the genes of the parent individuals (i.e., heat dissipation control parameters), thereby introducing new possibilities.

[0187] Mutation operation;

[0188] Operation: Perform mutation operations on offspring individuals.

[0189] Explanation: Mutation operation is another important step in genetic algorithms. It increases the diversity of the population by making small-scale random adjustments to the genes of offspring individuals, which helps to explore a wider solution space.

[0190] Repeat the selection, crossover and mutation operations;

[0191] Operation: Repeat the above selection, crossover and mutation operations to generate a new population and evaluate the fitness of the new population.

[0192] Explanation: By repeating these operations, the genetic algorithm can gradually optimize the individuals in the population, making them closer and closer to the optimal solution.

[0193] Stop iteration and output the optimal individual;

[0194] Operation: According to the fitness evaluation results, the individuals in the population are continuously updated. When the maximum number of iterations is reached or the minimum temperature error of the organic electroluminescent film heat dissipation meets the requirements, the iteration is stopped and the best individual in the current population is output as the optimized heat dissipation control parameter.

[0195] Explanation: This step is the termination condition of the genetic algorithm. When the preset number of iterations is reached or the temperature error meets the requirements, the algorithm stops running and outputs the current optimal heat dissipation control parameters.

[0196] The organic electroluminescent film heat dissipation device of the present invention optimizes the heat dissipation control parameters through a genetic algorithm, thereby realizing accurate control and optimization of the heat dissipation effect. The genetic algorithm can search and find a near-optimal solution in a wide solution space by simulating natural selection and genetic mechanisms. This method not only improves the heat dissipation efficiency, but also improves the stability of the organic electroluminescent film.

[0197] The technical solution of the present invention solves the problem that the existing organic electroluminescent film heat dissipation device relies on a single heat dissipation control parameter for heat dissipation and cannot be dynamically adjusted according to the actual heat dissipation requirements of the organic electroluminescent film in the following ways:

[0198] The data acquisition unit collects historical OLED thin film operation data, as well as temperature, current, voltage, heat dissipation device status and environmental data. These data are used to train the random forest model to obtain the OLED thin film heat dissipation control model, which provides a data basis for dynamically adjusting the heat dissipation control parameters.

[0199] The control parameter generation unit receives the cooling task, and also uses the expected temperature, cooling time data and the maximum error range. These cooling tasks are substituted into the cooling control model, and the cooling control parameters based on multiple parameters are output, such as the power of the cooling device and the speed of the cooling fan.

[0200] The monitoring unit continuously monitors the real-time operation data of the heat dissipation device after executing the heat dissipation control parameters. The data processing unit compares these real-time operation data with the expected temperature, calculates the real-time temperature error, and determines whether it exceeds the maximum error range.

[0201] When the real-time temperature error exceeds the maximum error range, the optimization unit uses a genetic algorithm to optimize the heat dissipation control model.

[0202] According to the real-time temperature error, heat dissipation control parameters and historical operation data, the optimization model is continuously iterated until the optimized heat dissipation control parameters that meet the heat dissipation requirements are obtained. When the optimization reaches the maximum number of iterations or the real-time temperature error does not exceed the maximum error range, the optimization process is stopped.

[0203] Through the above-mentioned continuous monitoring, feedback and optimization process, the present invention can dynamically adjust the heat dissipation control parameters according to the actual heat dissipation requirements of the organic electroluminescent film. Combining the random forest model and the genetic algorithm, the heat dissipation process is comprehensively controlled using historical data and real-time data, thereby improving the heat dissipation efficiency and accuracy.

[0204] In summary, the technical solution of the present invention realizes dynamic adjustment and comprehensive control of the heat dissipation process of organic electroluminescent film by integrating multiple links such as data acquisition, processing, control parameter generation, real-time monitoring, feedback and optimization, and effectively solves the limitations of single parameter control in the prior art.

Claims

1. An organic electroluminescent film heat dissipation device, characterized in that: include: A data acquisition unit acquires historical organic electroluminescent film operation data, wherein the historical organic electroluminescent film operation data includes historical temperature data of the organic electroluminescent film, historical current data of the organic electroluminescent film, historical voltage data of the organic electroluminescent film, historical state data of the organic electroluminescent film heat dissipation device, and historical environmental data of the organic electroluminescent film, and uses the historical organic electroluminescent film operation data to train a random forest model to obtain an organic electroluminescent film heat dissipation control model; A control parameter generating unit receives an organic electroluminescent film heat dissipation task, the organic electroluminescent film heat dissipation task includes an expected temperature of the organic electroluminescent film heat dissipation, organic electroluminescent film heat dissipation time data and a maximum error range of the organic electroluminescent film heat dissipation, substitutes the organic electroluminescent film heat dissipation task into an organic electroluminescent film heat dissipation control model, and outputs an organic electroluminescent film heat dissipation control parameter; A monitoring unit, which substitutes the organic electroluminescent film heat dissipation control parameters into the organic electroluminescent film heat dissipation device, monitors the operation data of the organic electroluminescent film heat dissipation device after executing the organic electroluminescent film heat dissipation control parameters, and obtains first real-time organic electroluminescent film operation data, wherein the first real-time organic electroluminescent film operation data includes real-time temperature data of the first organic electroluminescent film, real-time current data of the first organic electroluminescent film, real-time voltage data of the first organic electroluminescent film, real-time status data of the first organic electroluminescent film heat dissipation device, and real-time environment data of the first organic electroluminescent film; The data processing unit compares the first real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation to obtain the first organic electroluminescent film real-time temperature error, compares the first organic electroluminescent film real-time temperature error with the maximum error range of the organic electroluminescent film heat dissipation, and if the first organic electroluminescent film real-time temperature error exceeds the maximum error range of the organic electroluminescent film heat dissipation, stores and records the first organic electroluminescent film real-time temperature error; The optimization unit uses a genetic algorithm to optimize the organic electroluminescent film heat dissipation control model based on the real-time temperature error of the first organic electroluminescent film, the organic electroluminescent film heat dissipation control parameters and the historical organic electroluminescent film operation data to obtain an optimized organic electroluminescent film heat dissipation control model, uses the optimized organic electroluminescent film heat dissipation control model to perform data processing on the organic electroluminescent film heat dissipation task to obtain optimized organic electroluminescent film heat dissipation control parameters, substitutes the optimized organic electroluminescent film heat dissipation control parameters into the organic electroluminescent film heat dissipation device to obtain second real-time organic electroluminescent film operation data, compares the second real-time organic electroluminescent film operation data with the expected temperature of the organic electroluminescent film heat dissipation, and obtains to the real-time temperature error of the second organic electroluminescent film, compare the real-time temperature error of the second organic electroluminescent film with the maximum error range of the organic electroluminescent film heat dissipation, and obtain the comparison result of the real-time temperature error of the second organic electroluminescent film. If the comparison result of the real-time temperature error of the second organic electroluminescent film still exceeds the maximum error range of the organic electroluminescent film heat dissipation, continue to use the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film until the organic electroluminescent film heat dissipation device executes the optimized organic electroluminescent film heat dissipation control parameters. When the real-time temperature error of the organic electroluminescent film does not exceed the maximum error range of the organic electroluminescent film heat dissipation, stop using the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film.

2. The organic electroluminescent thin film heat dissipation device according to claim 1, characterized in that: The optimization unit further includes: When the optimization of the heat dissipation control model of the organic electroluminescent film reaches a maximum number of optimization iterations, the use of the genetic algorithm to optimize the heat dissipation control model of the organic electroluminescent film is stopped.

3. The organic electroluminescent thin film heat dissipation device according to claim 1, characterized in that: The control parameter generating unit is further used for: The expected temperature of the organic electroluminescent film heat dissipation, the organic electroluminescent film heat dissipation time data and the maximum error range of the organic electroluminescent film heat dissipation are used as input parameters, substituted into the organic electroluminescent film heat dissipation control model trained by historical data, and the historical organic electroluminescent film operation data is used as training data; The heat dissipation control model is built based on the random forest algorithm, which predicts the optimal heat dissipation control parameters based on the input parameters and training data; After calculation by the heat dissipation control model, the heat dissipation control parameters of the organic electroluminescent film are output, and the heat dissipation control parameters of the organic electroluminescent film include the power of the heat dissipation device and the speed of the heat dissipation fan; The output heat dissipation control parameters are applied to the organic electroluminescent film heat dissipation device, and the operation data of the heat dissipation device and the temperature change of the organic electroluminescent film are monitored in real time.

4. The organic electroluminescent thin film heat dissipation device according to claim 1, characterized in that: The monitoring unit is further used for: According to the outputted heat dissipation control parameters of the organic electroluminescent film, the heat dissipation device is configured, and the configuration of the heat dissipation device includes setting the power of the heat dissipation device and the speed of the heat dissipation fan; Applying the configured heat dissipation control parameters to the organic electroluminescent film heat dissipation device, starting the heat dissipation device, and monitoring the operation data of the heat dissipation device after executing the heat dissipation control parameters in real time to obtain first real-time organic electroluminescent film operation data; The error between the real-time temperature data of the first organic electroluminescent film and the expected heat dissipation temperature of the organic electroluminescent film is compared to obtain the error value between the real-time temperature data of the first organic electroluminescent film and the expected heat dissipation temperature of the organic electroluminescent film.

5. The organic electroluminescent thin film heat dissipation device according to claim 1, characterized in that: The data processing unit is further used for: Subtracting the real-time temperature data of the first organic electroluminescent film from the expected heat dissipation temperature to obtain a real-time temperature error of the first organic electroluminescent film; Comparing the calculated real-time temperature error of the first organic electroluminescent film with the maximum error range of heat dissipation of the organic electroluminescent film to determine whether the error exceeds the set maximum error range; If the real-time temperature error of the first organic electroluminescent film exceeds the maximum error range of heat dissipation of the organic electroluminescent film, the error value is recorded.

6. The organic electroluminescent thin film heat dissipation device according to claim 2, characterized in that: The optimization unit is further used for: By comparing the temperature data in the second real-time organic electroluminescent film operation data with the expected heat dissipation temperature, the real-time temperature error of the second organic electroluminescent film is calculated; Directly comparing the real-time temperature error of the second organic electroluminescent film with the maximum error range of heat dissipation to determine whether the real-time temperature error is less than or equal to the maximum error range; If the real-time temperature error of the second organic electroluminescent film is less than or equal to the maximum error range of heat dissipation, the heat dissipation control parameters meet the heat dissipation requirements, and the optimization of the heat dissipation control model is stopped at this time; If the real-time temperature error of the second organic electroluminescent film is greater than the maximum error range of heat dissipation, the current heat dissipation control parameters still need to be optimized to reduce the temperature error.

7. The organic electroluminescent thin film heat dissipation device according to claim 6, characterized in that: The optimization unit is further used for: Generate an initial population, randomly generate a group of individuals as the initial population, each individual represents a heat dissipation control parameter; receiving a minimized temperature error of heat dissipation of the organic electroluminescent film, and setting the minimized temperature error of heat dissipation of the organic electroluminescent film as a fitness function for evaluating the quality of each individual; Selection operation, which evaluates the fitness of each individual according to the fitness function and selects individuals with higher fitness as parents to generate the next generation; Crossover operation: perform crossover operation on the selected parent individuals to generate new offspring individuals; Mutation operation, performing mutation operation on offspring individuals; The selection, crossover and mutation operations are performed repeatedly to generate a new population and evaluate the fitness of the new population. According to the fitness evaluation results, the individuals in the population are continuously updated. When the maximum number of iterations or the minimized temperature error of the heat dissipation of the organic electroluminescent film is reached, the iteration is stopped and the optimal individual in the current population is output as the optimized heat dissipation control parameter.

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