A combined system for heating and cooling temperature of organic electroluminescent device

Abstract

The present invention relates to the field of organic electroluminescent operation and maintenance technology. The present invention provides a temperature heating and cooling combined system for an organic electroluminescent device. Through deep learning models and genetic algorithm optimization, precise control of the device temperature is achieved. The system includes a temperature control device detection unit, a temperature data acquisition unit, a temperature data correction unit, a temperature control device operating parameter correction unit and a temperature control unit. The units work together to collect and process temperature data in real time, and dynamically adjust the operating parameters of the heating and cooling elements according to the deviation between the real-time temperature and the expected temperature. Through a closed-loop temperature control process, the device is operated under optimal temperature conditions, thereby improving luminous efficiency, extending service life, and enhancing the stability and intelligence level of the system. The present invention significantly uses the temperature management capability of the organic electroluminescent device to meet the needs of the flat panel display and lighting fields for high-precision temperature control.

Description

Technical Field

[0001] The present invention relates to the field of organic electroluminescent operation and maintenance technology, and in particular to an organic electroluminescent device temperature heating and cooling combined system. Background Art

[0002] The temperature heating and cooling technology of organic electroluminescent devices is mainly used to improve the luminous efficiency of organic electroluminescent devices and extend the life of organic electroluminescent devices. However, with the use of organic electroluminescent devices in the field of flat panel display and lighting, it is necessary to manage the temperature of organic electroluminescent devices. For example, by combining thin-film thermoelectric devices with organic light-emitting elements, automatic temperature regulation is achieved. When the temperature in the packaging cavity exceeds the set range, the thermoelectric device will automatically power on, and the current will flow between the P-type thermoelectric material layer and the N-type thermoelectric material layer to achieve heating or cooling of the organic electroluminescent device, thereby more effectively managing temperature.

[0003] The temperature heating and cooling function of the organic electroluminescent device monitors and adjusts the operating temperature of the organic electroluminescent device in real time through the built-in temperature sensor and thermoelectric device, so that the organic electroluminescent device can operate at the best performance. In a cold environment, the organic electroluminescent device will not work properly due to the low temperature. At this time, the temperature of the organic electroluminescent device can be increased through the heating function to ensure its normal light emission. On the contrary, in a high temperature environment, in order to avoid the performance degradation and shortened life of the organic electroluminescent device due to overheating, the temperature can be lowered through the cooling function. Users can easily control the temperature of the organic electroluminescent device by selecting manual or automatic adjustment mode as needed through device settings or a dedicated temperature management application.

[0004] The temperature heating and cooling control system of organic electroluminescent devices has the following technical pain points during actual use. The heating electrical elements and cooling elements of organic electroluminescent devices are the core components of temperature heating and cooling, and their efficiency and stability directly affect the performance of the entire control system. However, when the heating electrical elements and cooling elements perform temperature control on organic electroluminescent devices, they are affected by factors such as electrical component aging and current fluctuations, resulting in reduced efficiency or poor stability. When the prior art performs temperature control on organic electroluminescent devices, it is impossible to perform temperature control correction according to the loss of heating and cooling elements and the real-time temperature of components in electrical equipment. In order to solve this technical problem, the present invention provides a combined temperature heating and cooling system for organic electroluminescent devices. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a combined temperature heating and cooling system for an organic electroluminescent device, which solves the problem that the prior art cannot perform temperature control correction according to the loss of heating and cooling elements and the real-time temperature of components in electrical equipment when performing temperature control on the organic electroluminescent device.

[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 a combined system for heating and cooling an organic electroluminescent device, comprising:

[0008] a temperature control device detection unit, for obtaining device information of a heating element, a cooling element, a heating element control switch, and a cooling element control switch, and sending a closing command to the heating element control switch and the cooling element control switch according to the device information of the heating element, the cooling element, the heating element control switch, and the cooling element control switch, sending a heating command to a temperature control heat auxiliary element installed on a side wall of the heating element and the cooling element, collecting resistance values ​​of the heating element and the cooling element under different temperature environments, training a deep learning model based on data generated during operation of the heating element and the cooling element under different temperature environments and actual temperature data of the heating element and the cooling element after receiving the temperature control command, obtaining a heating simulation model for the heating element and a cooling simulation model for the cooling element, receiving a heating task command and a cooling task command, sending the heating task command to the heating element, sending the cooling task command to the cooling element, simulating the heating task command through the heating element heating simulation model, obtaining an estimated temperature value for the heating task, and simulating the cooling task command through the cooling element cooling simulation model, obtaining an estimated temperature value for the cooling task;

[0009] The temperature data acquisition unit is used to collect the temperature values ​​of the electrical components inside the organic electroluminescent device during operation and store them in a database, and also collect the actual temperature of the heating component after executing the heating task command to obtain the actual temperature of the heating component, and the actual temperature of the cooling component after executing the cooling task command to obtain the actual temperature of the cooling component;

[0010] A temperature data correction unit is used to compare the actual temperature of the heating element with the expected temperature value of the heating task to obtain a first temperature comparison temperature difference, and to compare the actual temperature of the cooling element with the expected temperature value of the cooling task to obtain a second temperature comparison temperature difference. If the first temperature comparison temperature difference and the second temperature comparison temperature difference have a value exceeding a preset temperature error range, the operating parameters of the heating element and the cooling element are corrected to obtain corrected heating element operating parameters and corrected cooling element operating parameters.

[0011] The temperature control device operating parameter correction unit is used to retrieve the historical data of temperature values ​​of each electrical component in the organic electroluminescent device during operation from the database, obtain the historical user temperature control commands and the historical heating element and cooling element control parameters pre-stored in the database, train the deep learning model based on the historical data of temperature values ​​of each electrical component in the organic electroluminescent device during operation, the historical user temperature control commands and the historical heating element and cooling element control parameters in the database, obtain the simulation model of the temperature control parameters of each electrical component in the organic electroluminescent device during operation, obtain the historical user temperature control commands pre-stored in the database, retrieve the heating element parameters and cooling element operating parameters corresponding to the historical user temperature control commands, and compare the corrected heating element operating parameters with the historical user temperature control commands. The heating element parameters corresponding to the temperature control command are corrected to obtain the corrected heating element parameters corresponding to the user temperature control command, and the corrected cooling element parameters corresponding to the historical user temperature control command are corrected by the corrected cooling element operating parameters to obtain the corrected cooling element parameters corresponding to the user temperature control command, and the heating element parameters corresponding to the corrected user temperature control command, the cooling element parameters corresponding to the corrected user temperature control command, the historical user temperature control commands, and the historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation are used to optimize the temperature control parameter simulation model of the electrical components inside the organic electroluminescent device during operation through a genetic algorithm to obtain the optimized temperature control parameter simulation model of the electrical components inside the organic electroluminescent device during operation;

[0012] The temperature control unit is used to receive the temperature control requirements of the user, the temperature control requirements of the user include the target operating temperature of the organic electroluminescent device, the target operating temperature of the organic electroluminescent device is monitored, and real-time organic electroluminescent device temperature monitoring data is obtained. If the target operating temperature of the organic electroluminescent device exceeds the target temperature, the temperature control parameter simulation model of each electrical component in the organic electroluminescent device during operation is optimized to output the control parameters of the heating element and the cooling element according to the real-time organic electroluminescent device temperature monitoring data, and the control parameters of the heating element are sent to the heating device, and the control parameters of the cooling element are sent to the cooling element. When the heating device executes the control parameters of the heating element and when the cooling element executes the control parameters of the cooling element, the control parameters of the heating element and the cooling element are continuously corrected using the temperature control parameter simulation model of each electrical component in the organic electroluminescent device during operation until the real-time organic electroluminescent device temperature monitoring data meets the user's temperature control requirements.

[0013] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device detection unit is also used for:

[0014] Collect data of the heating element and the cooling element when they are running in different temperature environments. The data of the heating element and the cooling element when they are running in different temperature environments include current, voltage, power and corresponding temperature changes. Different temperature environments include low temperature, normal temperature and high temperature;

[0015] Monitor the actual temperature data of the heating element and the cooling element after receiving the temperature control command and pre-process the data;

[0016] Extracting data features from the preprocessed data includes heating power features, cooling power features, temperature change rate features, and ambient temperature features;

[0017] The extracted features are used as input and the corresponding actual temperature data as output to train the deep learning model, and the trained model is verified to obtain a heating simulation model for the heating element and a cooling simulation model for the cooling element.

[0018] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device detection unit is also used for:

[0019] The temperature control device detection unit receives a user's heating task command and a cooling task command, wherein the heating task command and the cooling task command include a target temperature parameter, a heating rate parameter, a cooling rate parameter, and a duration parameter;

[0020] According to the received heating task command, the temperature control device detection unit sends an opening command to the heating element control switch, and transmits the heating power parameter and the heating time parameter to the heating element;

[0021] For the cooling task command, the temperature control device detection unit sends an opening command to the cooling element control switch and transmits the corresponding cooling parameters;

[0022] After sending the heating task command, the temperature control device detection unit uses the trained heating element heating simulation model to simulate the heating process;

[0023] The simulation process includes the characteristics of the heating element, the ambient temperature and the heating power factor, and outputs the expected temperature value of the heating task;

[0024] For the refrigeration task command, the refrigeration process is simulated using the refrigeration simulation model of the refrigeration element, and the expected temperature value of the refrigeration task is output;

[0025] The temperature control device detection unit stores the expected temperature value of the heating task and the expected temperature value of the cooling task for temperature control strategy adjustment, fault detection and early warning.

[0026] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature data acquisition unit is also used for:

[0027] Sending a heating command to the heating element, and according to the received heating task command, the temperature data acquisition unit or the control system sends an opening command to the control switch of the heating element;

[0028] The target temperature and heating power in the heating task command are transmitted to the heating element. When the heating element performs the heating task, the temperature data acquisition unit monitors its actual temperature in real time through the temperature sensor arranged near the heating element.

[0029] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature data acquisition unit is also used for:

[0030] Send a cooling command to the cooling element, the cooling command includes the cooling target temperature parameter, cooling rate parameter and cooling time parameter

[0031] According to the received refrigeration task command, the temperature data acquisition unit or the control system sends an opening command to the control switch of the refrigeration element;

[0032] The target temperature and cooling power in the cooling task command are transmitted to the cooling element for cooling operation. When the cooling element performs the cooling task, the temperature data acquisition unit monitors the actual temperature of the cooling element in real time through the temperature sensor arranged near the cooling element.

[0033] The actual temperature data of the refrigeration components is collected for subsequent temperature control, fault detection and early warning.

[0034] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature data correction unit is also used for:

[0035] Acquire the actual temperature data of the heating element in real time, and compare it with the expected temperature value preset in the heating task, and calculate the first temperature comparison temperature difference;

[0036] Acquire the actual temperature data of the refrigeration element in real time, compare it with the expected temperature value preset in the refrigeration task, and calculate the second temperature comparison temperature difference;

[0037] Evaluate the first temperature comparison temperature difference and the second temperature comparison temperature difference to determine whether the first temperature comparison temperature difference and the second temperature comparison temperature difference exceed a preset temperature error range;

[0038] The preset temperature error range is set according to system requirements and control accuracy to measure the acceptable deviation between the actual temperature and the expected temperature;

[0039] If the first temperature comparison temperature difference exceeds the preset temperature error range or the second temperature comparison temperature difference exceeds the preset temperature error range, or the first temperature comparison temperature difference and the second temperature comparison temperature difference both exceed the preset temperature error range, the operating parameters of the heating element or the cooling element need to be adjusted;

[0040] Based on the first temperature comparison temperature difference or the second temperature comparison temperature difference, modifying the operating parameters of the heating element and the cooling element to reduce the deviation between the actual temperature and the expected temperature;

[0041] According to the temperature difference judgment and the operation parameter correction decision, the operation parameters of the heating element and the cooling element are corrected to obtain the corrected heating element operation parameters and the corrected cooling element operation parameters.

[0042] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device operating parameter correction unit is also used for:

[0043] Retrieving historical data of temperature values ​​of various electrical components in the organic electroluminescent device during operation from the database, including temperature records in different time periods and under different working conditions;

[0044] Acquire historical user temperature control commands pre-stored in a database, the historical user temperature control commands including instructions issued for regulating device temperature, the instructions issued for regulating device temperature including target temperature, heating and cooling modes;

[0045] Obtain historical control parameters of heating elements and cooling elements. The historical control parameters of heating elements and cooling elements are actual working parameters of heating elements and cooling elements when executing user temperature control commands, such as power and working time;

[0046] Preprocess the retrieved temperature value history data, user temperature control commands, and control parameters of heating elements and cooling elements, integrate the preprocessed data into a data set, and establish a corresponding relationship between the temperature value, user command, and control parameter at the same time point in the data set;

[0047] The input should include historical data of temperature values, user temperature control commands, control parameters of heating elements, and control parameters of cooling elements. The output should be simulated temperature control parameters.

[0048] Use the integrated data set to train the deep learning model, iteratively update the model parameters, minimize the loss function, and enable the model to gradually learn the mapping relationship between the temperature control parameters and the input data;

[0049] After training is complete, the model is validated using an independent test data set that includes historical temperature value data that was not used in training, user temperature control commands, heating element control parameters, and cooling element control parameters;

[0050] The model is evaluated, and if the model performance meets the expected requirements, it is saved as a simulation model of the temperature control parameters of each electrical component inside the organic electroluminescent device during operation.

[0051] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device operating parameter correction unit is also used for:

[0052] Integrate the heating element parameters and cooling element parameters corresponding to the corrected user temperature control command, as well as the historical user temperature control command and the historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation;

[0053] According to the objectives and outputs of the temperature control parameter simulation model, the optimization problem of the genetic algorithm is defined. The optimization problem of the genetic algorithm includes optimization objectives, decision variables and constraints. The optimization objectives include minimizing the temperature deviation to maximize the energy efficiency. The decision variables include the control parameters of the heating element and the control parameters of the cooling element. The constraints include the temperature range and the power limit.

[0054] Determine the fitness function of the genetic algorithm, which is used to evaluate the quality of each solution (i.e., a set of control parameters);

[0055] Initialize the population of the genetic algorithm, that is, generate a set of random control parameters as the initial solution;

[0056] Through genetic operations such as selection, crossover and mutation, the solutions in the population are continuously updated iteratively, and the fitness value of each solution is calculated;

[0057] Select excellent solutions according to the fitness value for retention and reproduction, and eliminate solutions with poor fitness;

[0058] Repeat the above process until the preset number of iterations is reached or the optimization target converges;

[0059] Obtaining optimized control parameters from the output of the genetic algorithm, that is, obtaining the heating element parameters and the cooling element parameters corresponding to the optimized user temperature control command;

[0060] The optimized parameters are updated to the temperature control parameter simulation model to obtain the optimized temperature control parameter simulation model of each electrical component inside the organic electroluminescent device during operation.

[0061] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control unit is also used for:

[0062] Real-time monitoring of the operating temperature of the organic electroluminescent device to obtain real-time temperature monitoring data;

[0063] Compare the real-time temperature monitoring data with the target temperature in the user's temperature control requirements;

[0064] If the real-time temperature exceeds the target temperature range, the subsequent temperature control process is triggered;

[0065] The real-time OLED temperature monitoring data is used as input to the optimized temperature control parameter simulation model;

[0066] The optimized temperature control parameter simulation model predicts the control parameters that should be used for the heating element and the cooling element to achieve the target temperature based on the input temperature data and the relationship between the temperature control parameters and the temperature learned in advance;

[0067] Obtaining predicted control parameters of the heating element and the cooling element from the optimized temperature control parameter simulation model;

[0068] The control parameters of the heating element and the cooling element include heating power, heating time, cooling power, and cooling time;

[0069] The predicted heating element control parameters are sent to the heating device, and the heating device performs a heating operation according to the predicted heating element control parameters;

[0070] The predicted refrigeration element control parameters are sent to the refrigeration element, and the refrigeration element performs a refrigeration operation according to the predicted refrigeration element control parameters.

[0071] Furthermore, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control unit is also used for:

[0072] The heating device starts to perform a heating operation according to the received heating element control parameters, and the cooling element starts to perform a cooling operation according to the received cooling element control parameters;

[0073] The initial control parameters are predicted based on the optimized temperature control parameter simulation model according to the real-time temperature monitoring data;

[0074] While the heating device and the cooling element execute the control parameters, the operating temperature of the organic electroluminescent device is continuously monitored in real time to obtain updated real-time temperature monitoring data;

[0075] Feedback the real-time temperature monitoring data to the temperature control unit for temperature control parameter correction;

[0076] Inputting updated real-time temperature monitoring data into the optimized temperature control parameter simulation model;

[0077] The optimized temperature control parameter simulation model corrects the control parameters of the heating element and the cooling element according to the deviation between the real-time temperature data and the target temperature, and outputs the corrected heating element control parameters and the cooling element control parameters;

[0078] The corrected control parameters are sent to the heating device and the cooling element again to replace the previous control parameters, and the heating or cooling operation is instructed to be performed according to the new parameters, and the temperature control process of forming a closed loop is repeated;

[0079] Until the real-time organic electroluminescent device temperature monitoring data meets the user's temperature control requirements, that is, the temperature deviation is within an acceptable range, the correction process is stopped to maintain the current control parameters running stably.

[0080] Beneficial effects of the present invention:

[0081] The present invention can more accurately simulate and predict the temperature control parameters of organic electroluminescent devices under different conditions through deep learning models and genetic algorithm optimization. By collecting the actual temperature data of the heating element and the cooling element in real time and comparing them with the expected temperature values, the operating parameters are dynamically adjusted, which significantly improves the accuracy of temperature control. The system can monitor the operating temperature of the organic electroluminescent device in real time, and dynamically correct the control parameters according to the real-time data, forming a closed-loop temperature control process. The closed-loop control effectively avoids temperature deviations caused by factors such as aging of electrical components and current fluctuations, and enhances the stability and reliability of the system. By accurately controlling the operating temperature of the organic electroluminescent device, the present invention can prevent the device from being damaged due to excessively high or low temperatures, thereby extending its service life. At the same time, the optimized temperature control parameters help reduce unnecessary heating and cooling operations, reducing energy consumption and device wear.

[0082] When operating under optimal temperature conditions, OLEDs can achieve optimal luminous efficiency, thereby improving the overall photoelectric conversion efficiency. By optimizing temperature control parameters through genetic algorithms, the system can maximize energy efficiency and reduce energy consumption while meeting temperature control requirements. Users can easily adjust the temperature of OLEDs manually or automatically through device settings or dedicated temperature management applications. The system can automatically adjust based on real-time temperature data without frequent user intervention, improving user experience and satisfaction.

[0083] The present invention significantly improves the intelligence level of the system by integrating advanced artificial intelligence technologies such as deep learning models and genetic algorithms. The system can autonomously learn and optimize temperature control strategies, adapt to different working conditions and usage environments, and reduce dependence on manual intervention.

[0084] In summary, the present invention effectively solves the shortcomings of the prior art in temperature control by integrating technical means such as deep learning models, real-time data acquisition and comparison, temperature data correction, genetic algorithm optimization, and closed-loop temperature control, and realizes accurate, dynamic and intelligent control of the temperature of organic electroluminescent devices, thereby significantly improving the performance, stability and user experience of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] 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 the drawings without paying any creative labor.

[0086] Figure 1 A schematic diagram of a combined system for heating and cooling an organic electroluminescent device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0087] 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.

[0088] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0089] The present invention provides a combined system for heating and cooling an organic electroluminescent device, comprising:

[0090] a temperature control device detection unit, for obtaining device information of a heating element, a cooling element, a heating element control switch, and a cooling element control switch, and sending a closing command to the heating element control switch and the cooling element control switch according to the device information of the heating element, the cooling element, the heating element control switch, and the cooling element control switch, sending a heating command to a temperature control heat auxiliary element installed on a side wall of the heating element and the cooling element, collecting resistance values ​​of the heating element and the cooling element under different temperature environments, training a deep learning model based on data generated during operation of the heating element and the cooling element under different temperature environments and actual temperature data of the heating element and the cooling element after receiving the temperature control command, obtaining a heating simulation model for the heating element and a cooling simulation model for the cooling element, receiving a heating task command and a cooling task command, sending the heating task command to the heating element, sending the cooling task command to the cooling element, simulating the heating task command through the heating element heating simulation model, obtaining an estimated temperature value for the heating task, and simulating the cooling task command through the cooling element cooling simulation model, obtaining an estimated temperature value for the cooling task;

[0091] The temperature control device detection unit is one of the core components of the temperature heating and cooling combined system of the organic electroluminescent device of the present invention. Its main functions and working process are as follows:

[0092] The temperature control device detection unit obtains the device information of the heating element, the cooling element, the heating element control switch and the cooling element control switch, including but not limited to the device status, current temperature, rated power, etc.

[0093] According to the collected equipment information, the temperature control device detection unit will send a shutdown command to the heating element control switch and the cooling element control switch so that the heating or cooling operation can be cut off when necessary. At the same time, in order to assist the heating or cooling process, the temperature control device detection unit will also send a heating command to the temperature control heat auxiliary element installed on the side wall of the heating element and the cooling element to improve the heating or cooling efficiency.

[0094] The temperature control device detection unit collects the resistance values ​​of the heating and cooling elements under different temperature environments. The changes in these resistance values ​​can reflect the performance changes of the elements under different temperatures. In addition, the unit also collects the actual temperature data of the heating and cooling elements during operation after receiving the temperature control command, and pre-processes these data, such as denoising and filtering, to improve data quality.

[0095] Based on the collected operating data of the heating element and the cooling element in different temperature environments and the actual temperature data, the temperature control device detection unit will train the deep learning model. Through training, the heating simulation model of the heating element and the cooling simulation model of the cooling element can be obtained. These two models can simulate the expected temperature values ​​under heating and cooling tasks, providing an important reference for temperature control.

[0096] The temperature control device detection unit receives heating task commands and cooling task commands sent by the user or the system. These commands usually include parameters such as target temperature, heating or cooling rate, and duration. After receiving the task command, the unit will send the heating task command to the heating element and the cooling task command to the cooling element. At the same time, the unit will also simulate the task command using the heating element heating simulation model and the cooling element cooling simulation model to obtain the expected temperature value of the heating task and the expected temperature value of the cooling task. These expected temperature values ​​can help the system evaluate the task execution effect and make necessary adjustments.

[0097] After the system is started, the temperature control device detection unit will first perform initialization operations and obtain the device information of the heating element, cooling element and its control switch. It will send a shutdown command to the relevant control switch as needed, and send a heating command to the temperature control auxiliary element, collect the resistance value and actual temperature data of the heating element and cooling element, and pre-process these data. Then, the processed data is used to train the deep learning model to obtain the heating and cooling simulation model.

[0098] After receiving the task command, the temperature control device detection unit sends the command to the corresponding component and simulates the task using the simulation model to obtain the expected temperature value.

[0099] During the task execution, the temperature control device detection unit continuously monitors the actual temperature of the heating element and the cooling element and compares it with the expected temperature value.

[0100] If deviations are found outside of the preset range, the unit makes the necessary adjustments to make the task perform as expected.

[0101] Through the above functions and work processes, the temperature control device detection unit can achieve precise control of the temperature of the organic electroluminescent device, thereby improving the luminous efficiency and life of the device.

[0102] The temperature data acquisition unit is used to collect the temperature values ​​of the electrical components inside the organic electroluminescent device during operation and store them in a database, and also collect the actual temperature of the heating component after executing the heating task command to obtain the actual temperature of the heating component, and the actual temperature of the cooling component after executing the cooling task command to obtain the actual temperature of the cooling component;

[0103] The temperature data acquisition unit is mainly responsible for collecting and processing temperature-related data in the organic electroluminescent device temperature heating and cooling joint system, providing accurate and real-time information support for the system's temperature control. The following are the main functions and workflow of the temperature data acquisition unit:

[0104] The temperature data acquisition unit will collect the temperature values ​​of each electrical component inside the organic electroluminescent device during operation in real time. The temperature value reflects the heat distribution state inside the device and is an important basis for evaluating device performance and predicting potential failures.

[0105] The collected temperature data will be stored in the database for subsequent data analysis and processing. The database design should ensure the security, integrity and accessibility of the data so that the system can call the required data at any time.

[0106] After the heating element executes the heating task command, the temperature data acquisition unit will collect the actual temperature of the heating element. Similarly, after the cooling element executes the cooling task command, the unit will also collect the actual temperature of the cooling element. These data are used to evaluate the heating and cooling effects so that the tasks are executed as expected.

[0107] The collected raw temperature data contains interference factors such as noise and outliers. The temperature data acquisition unit will pre-process these data, such as denoising, filtering, outlier detection and processing, to improve data quality and make subsequent analysis more accurate.

[0108] When the system receives a heating or cooling task command, the temperature data acquisition unit will be activated and start to perform the temperature data acquisition task. The temperature data acquisition unit will monitor the temperature values ​​of each electrical component inside the organic electroluminescent device in real time and obtain accurate data through hardware devices such as sensors.

[0109] The collected temperature data will be stored in the database in real time for subsequent call and analysis. At the same time, the database will record the metadata such as the data collection time and collection location for traceability and verification. During the execution of the heating or cooling task, the unit will focus on the actual temperature of the heating element and the cooling element to make them work as expected. The collected temperature data will also be stored in the database.

[0110] The collected raw temperature data will go through a preprocessing step to improve the data quality. The processed data will be uploaded to the system center or other designated location for subsequent analysis and use. Through the above functions and workflows, the temperature data acquisition unit can enable the organic electroluminescent device temperature heating and cooling joint system to obtain accurate and real-time temperature data support, providing a strong guarantee for the system's temperature control.

[0111] A temperature data correction unit is used to compare the actual temperature of the heating element with the expected temperature value of the heating task to obtain a first temperature comparison temperature difference, and to compare the actual temperature of the cooling element with the expected temperature value of the cooling task to obtain a second temperature comparison temperature difference. If the first temperature comparison temperature difference and the second temperature comparison temperature difference have a value exceeding a preset temperature error range, the operating parameters of the heating element and the cooling element are corrected to obtain corrected heating element operating parameters and corrected cooling element operating parameters.

[0112] The temperature data correction unit is responsible for making the actual temperature of the heating and cooling elements consistent with the expected temperature in the organic electroluminescent device temperature heating and cooling combined system, thereby improving the temperature control accuracy and stability of the system. The following are the main functions and workflow of the temperature data correction unit:

[0113] The temperature data correction unit compares the actual temperature of the heating element with the expected temperature value of the heating task to calculate a first temperature comparison temperature difference. Similarly, it also compares the actual temperature of the cooling element with the expected temperature value of the cooling task to obtain a second temperature comparison temperature difference.

[0114] According to the preset temperature error range, the temperature data correction unit determines whether the first temperature comparison temperature difference and the second temperature comparison temperature difference are within an acceptable range. This preset range is usually determined according to system requirements and control accuracy.

[0115] If the first temperature comparison temperature difference or the second temperature comparison temperature difference is found to exceed the preset temperature error range, it indicates that there is a problem with the current operating parameters of the heating element or the cooling element and correction is required. The temperature data correction unit will adjust the operating parameters of the heating element and the cooling element accordingly according to the size and direction of the temperature difference to reduce the deviation between the actual temperature and the expected temperature.

[0116] By continuously adjusting and optimizing the operating parameters of the heating elements and cooling elements, the temperature data correction unit can gradually approach the ideal temperature control effect and improve the overall performance of the system.

[0117] The temperature data correction unit receives data from the temperature data acquisition unit, including actual temperature values ​​of the heating element and the cooling element, and the heating task predicted temperature value and the cooling task predicted temperature value from the temperature control device detection unit.

[0118] The unit calculates the temperature difference between the actual temperature and the expected temperature of the heating element and the cooling element based on the received data, namely the first temperature comparison temperature difference and the second temperature comparison temperature difference.

[0119] The calculated temperature difference is compared with the preset temperature error range to determine whether there is an error that needs to be corrected.

[0120] If there is an error, the temperature data correction unit will adjust the operating parameters of the heating element and the cooling element according to a preset correction strategy, and the adjustment includes changing the power, time and other parameters of the heating or cooling.

[0121] The corrected operating parameters will be sent to the heating element and the cooling element, and the system will continue to monitor the actual temperature changes. The temperature data correction unit will make judgments and corrections again based on the new actual temperature data until the error between the actual temperature and the expected temperature is within an acceptable range.

[0122] Through the above functions and workflow, the temperature data correction unit can realize dynamic adjustment and optimization of the operating parameters of the heating element and the cooling element, so that the organic electroluminescent device can operate stably within the optimal temperature range.

[0123] The temperature control device operating parameter correction unit is used to retrieve the historical data of temperature values ​​of each electrical component in the organic electroluminescent device during operation from the database, obtain the historical user temperature control commands and the historical heating element and cooling element control parameters pre-stored in the database, train the deep learning model based on the historical data of temperature values ​​of each electrical component in the organic electroluminescent device during operation, the historical user temperature control commands and the historical heating element and cooling element control parameters in the database, obtain the simulation model of the temperature control parameters of each electrical component in the organic electroluminescent device during operation, obtain the historical user temperature control commands pre-stored in the database, retrieve the heating element parameters and cooling element operating parameters corresponding to the historical user temperature control commands, and compare the corrected heating element operating parameters with the historical user temperature control commands. The heating element parameters corresponding to the temperature control command are corrected to obtain the corrected heating element parameters corresponding to the user temperature control command, and the corrected cooling element parameters corresponding to the historical user temperature control command are corrected by the corrected cooling element operating parameters to obtain the corrected cooling element parameters corresponding to the user temperature control command, and the heating element parameters corresponding to the corrected user temperature control command, the cooling element parameters corresponding to the corrected user temperature control command, the historical user temperature control commands, and the historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation are used to optimize the temperature control parameter simulation model of the electrical components inside the organic electroluminescent device during operation through a genetic algorithm to obtain the optimized temperature control parameter simulation model of the electrical components inside the organic electroluminescent device during operation;

[0124] The temperature control device operating parameter correction unit is responsible for continuously optimizing the temperature control parameters based on historical data and real-time feedback in the organic electroluminescent device temperature heating and cooling combined system of the present invention to improve the accuracy and efficiency of the system. The following are the main functions and workflow of the unit:

[0125] The historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation are retrieved from the database, and the data covers the temperature records in different time periods and under different working conditions.

[0126] The historical user temperature control commands pre-stored in the database are obtained. The historical user temperature control commands include control instructions such as target temperature, heating and cooling modes, etc.

[0127] Get the historical control parameters of the heating and cooling elements. These parameters are the actual working parameters of the heating and cooling elements when executing the user's temperature control command, such as power, working time, etc.

[0128] Based on the retrieved temperature value history data, user temperature control commands, and the control parameters of the heating and cooling elements, a temperature control parameter simulation model is trained using a deep learning algorithm. The temperature control parameter simulation model trained using a deep learning algorithm can simulate and predict the control parameters of the heating and cooling elements required to achieve the target temperature under different working conditions.

[0129] When the temperature data correction unit finds that the actual temperature of the heating element or cooling element deviates from the expected temperature, it will correct the operating parameters of the heating element and cooling element. The temperature control device operating parameter correction unit replaces the corrected heating element and cooling element operating parameters with the original parameters corresponding to the historical user temperature control command to obtain the corrected heating element and cooling element parameters corresponding to the user temperature control command.

[0130] The temperature control parameter simulation model is optimized by genetic algorithm using the heating and cooling element parameters corresponding to the modified user temperature control command, historical user temperature control commands, and historical temperature value data. The genetic algorithm searches for the optimal control parameter combination to minimize temperature deviation and maximize energy efficiency by simulating natural selection and genetic mechanisms.

[0131] After genetic algorithm optimization, the optimized temperature control parameter simulation model of each electrical component in the organic electroluminescent device during operation was obtained. This model has higher prediction accuracy and better adaptability, and can more accurately guide the control of heating and cooling components.

[0132] The required historical data is retrieved from the database, including the historical data of temperature values, user temperature control commands, and the control parameters of the heating and cooling elements. The retrieved data is trained using a deep learning algorithm to obtain a preliminary simulation model of the temperature control parameters. Based on the feedback from the temperature data correction unit, the operating parameters of the heating and cooling elements are corrected, and the corrected parameters are integrated with the historical data.

[0133] The integrated data are optimized using a genetic algorithm to obtain an optimized temperature control parameter simulation model.

[0134] The optimized model is output to the temperature control unit to guide the real-time regulation of the heating and cooling elements. At the same time, the optimized model is stored back to the database for subsequent use and improvement.

[0135] Through the operation of the temperature control device operating parameter correction unit, the present invention can achieve continuous optimization and improvement of the temperature control parameters of the organic electroluminescent device, improve the accuracy and efficiency of the system, and extend the service life of the organic electroluminescent device.

[0136] The temperature control unit is used to receive the temperature control requirements of the user, the temperature control requirements of the user include the target operating temperature of the organic electroluminescent device, the target operating temperature of the organic electroluminescent device is monitored, and real-time organic electroluminescent device temperature monitoring data is obtained. If the target operating temperature of the organic electroluminescent device exceeds the target temperature, the temperature control parameter simulation model of each electrical component in the organic electroluminescent device during operation is optimized to output the control parameters of the heating element and the cooling element according to the real-time organic electroluminescent device temperature monitoring data, and the control parameters of the heating element are sent to the heating device, and the control parameters of the cooling element are sent to the cooling element. When the heating device executes the control parameters of the heating element and when the cooling element executes the control parameters of the cooling element, the control parameters of the heating element and the cooling element are continuously corrected using the temperature control parameter simulation model of each electrical component in the organic electroluminescent device during operation until the real-time organic electroluminescent device temperature monitoring data meets the user's temperature control requirements.

[0137] The temperature control unit is responsible for receiving the user's temperature control requirements in the organic electroluminescent device temperature heating and cooling joint system, and dynamically adjusts the control parameters of the heating element and the cooling element through the optimized temperature control parameter simulation model based on the real-time monitored device temperature data, so that the organic electroluminescent device can operate stably within the set target temperature range. The following are the main functions and workflow of the temperature control unit:

[0138] The temperature control unit first receives the user's temperature control requirements, which usually include the target operating temperature of the organic electroluminescent device, and obtains the temperature data of the organic electroluminescent device and its internal electrical components in real time through sensors or other monitoring means.

[0139] The real-time monitored device temperature is compared with the target temperature set by the user to determine whether the current temperature exceeds the target range. If the temperature exceeds the target range, the temperature control unit will call the optimized temperature control parameter simulation model and output the corresponding heating and cooling element control parameters based on the real-time temperature monitoring data.

[0140] The calculated heating element control parameters are sent to the heating device, and the cooling element control parameters are sent to the cooling element to perform heating or cooling operations. During the heating or cooling process, the temperature control unit will continuously monitor the device temperature, and dynamically modify the control parameters of the heating element and the cooling element through the temperature control parameter simulation model based on the real-time temperature data, so that the temperature gradually approaches the target range.

[0141] When the device temperature monitored in real time meets the user's temperature control requirements, the temperature control unit will stop adjusting the control parameters and maintain the current stable state.

[0142] Receive the user's temperature control requirements, initialize the temperature monitoring system and the control parameter model. Obtain the temperature data of the organic electroluminescent device in real time and compare it with the target temperature. If the temperature exceeds the target range, enter the control parameter output process; if the temperature meets the target range, maintain the current state. Call the optimized temperature control parameter simulation model to output the control parameters of the heating element and the cooling element according to the real-time temperature data. Send the control parameters to the heating device and the cooling element to perform the corresponding heating or cooling operations. Continuously monitor the device temperature during the control process, and dynamically correct the control parameters according to the real-time data. When the device temperature meets the target range set by the user, stop correcting the control parameters to keep the system running stably. Through the operation of the temperature control unit, the present invention can achieve precise control and dynamic adjustment of the temperature of the organic electroluminescent device, so that the device can operate under optimal temperature conditions, thereby improving its luminous efficiency and extending its service life.

[0143] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device detection unit is also used for:

[0144] Collect data of the heating element and the cooling element when they are running in different temperature environments. The data of the heating element and the cooling element when they are running in different temperature environments include current, voltage, power and corresponding temperature changes. Different temperature environments include low temperature, normal temperature and high temperature;

[0145] Monitor the actual temperature data of the heating element and the cooling element after receiving the temperature control command and pre-process the data;

[0146] Extracting data features from the preprocessed data includes heating power features, cooling power features, temperature change rate features, and ambient temperature features;

[0147] The extracted features are used as input and the corresponding actual temperature data as output to train the deep learning model, and the trained model is verified to obtain a heating simulation model for the heating element and a cooling simulation model for the cooling element.

[0148] In the organic electroluminescent device temperature heating and cooling combined system, the temperature control device detection unit is not only responsible for monitoring and adjusting the working status of the heating element and the cooling element, but also participates in model training and optimization to enable the system to control the temperature more accurately. The following are the specific functions and operation procedures of the temperature control device detection unit in this process:

[0149] Multi-environment data collection: The temperature control device detection unit collects detailed data of heating elements and cooling elements when they are running in different temperature environments (low temperature, normal temperature, and high temperature). These data include but are not limited to current, voltage, power, and corresponding temperature changes, which provide materials for subsequent model training.

[0150] After receiving the temperature control command, the unit will monitor the actual temperature data of the heating element and the cooling element in real time, and pre-process these data to improve the data quality and the accuracy of the model training.

[0151] From the preprocessed data, key data features are extracted, such as heating power features, cooling power features, temperature change rate features, and ambient temperature features. These features can reflect the working status and performance of heating and cooling components under different conditions.

[0152] The deep learning model is trained using the extracted features as input and the corresponding actual temperature data as output. After the training is completed, the model is verified to enable it to accurately simulate the temperature changes of the heating element and the cooling element, thereby obtaining a heating simulation model for the heating element and a cooling simulation model for the cooling element.

[0153] The temperature control device detection unit collects the operating data of the heating element and the cooling element under different temperature environments through sensors or other monitoring equipment. When the heating element or cooling element receives the temperature control command and starts working, the unit will monitor its temperature data in real time and perform preprocessing operations such as cleaning, denoising, and normalization on the data to improve the quality of the data. From the preprocessed data, the key features that can reflect the working status of the heating and cooling elements are extracted using feature engineering methods. The deep learning model is constructed and trained using the extracted features as input and the actual temperature data as output. The model parameters are iteratively optimized so that the model can accurately simulate the heating and cooling process.

[0154] The trained model is validated using an independent test data set to evaluate its prediction accuracy and generalization ability. If the model performance meets the expected requirements, it is saved as a heating element heating simulation model and a cooling element cooling simulation model.

[0155] Through this process, the temperature control device detection unit not only provides the system with real-time temperature monitoring and adjustment functions, but also improves the system's ability to predict and regulate temperature changes through the training and optimization of the deep learning model, thereby achieving precise control of the temperature of the organic electroluminescent device.

[0156] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device detection unit is also used for:

[0157] The temperature control device detection unit receives a user's heating task command and a cooling task command, wherein the heating task command and the cooling task command include a target temperature parameter, a heating rate parameter, a cooling rate parameter, and a duration parameter;

[0158] According to the received heating task command, the temperature control device detection unit sends an opening command to the heating element control switch, and transmits the heating power parameter and the heating time parameter to the heating element;

[0159] For the cooling task command, the temperature control device detection unit sends an opening command to the cooling element control switch and transmits the corresponding cooling parameters;

[0160] After sending the heating task command, the temperature control device detection unit uses the trained heating element heating simulation model to simulate the heating process;

[0161] The simulation process includes the characteristics of the heating element, the ambient temperature and the heating power factor, and outputs the expected temperature value of the heating task;

[0162] For the refrigeration task command, the refrigeration process is simulated using the refrigeration simulation model of the refrigeration element, and the expected temperature value of the refrigeration task is output;

[0163] The temperature control device detection unit stores the expected temperature value of the heating task and the expected temperature value of the cooling task for temperature control strategy adjustment, fault detection and early warning.

[0164] The temperature control device detection unit is responsible for receiving heating task commands and cooling task commands issued by the user through device settings or dedicated temperature management applications. These commands contain target temperature parameters, heating rate parameters, cooling rate parameters, and duration parameters, providing clear guidance for subsequent heating and cooling operations.

[0165] According to the received task command, the temperature control device detection unit will send an opening command to the corresponding heating element control switch or cooling element control switch, and pass the necessary heating or cooling parameters. For example, in a heating task, the unit will send heating power parameters and heating time parameters to the heating element; in a cooling task, it will pass the corresponding cooling parameters to the cooling element.

[0166] After sending the task command, the temperature control device detection unit will use the previously trained heating simulation model for the heating element and cooling simulation model for the cooling element to simulate the heating and cooling processes respectively. The simulation process will comprehensively consider the characteristics of the heating element or cooling element, the current ambient temperature, and the heating or cooling power specified in the task command to output the expected temperature value.

[0167] The temperature control device detection unit will store the expected temperature values ​​of the heating task and the expected temperature values ​​of the cooling task. These expected temperature values ​​have important reference value in the subsequent temperature control strategy adjustment, fault detection and early warning. For example, by comparing the difference between the actual temperature and the expected temperature, potential faults or abnormal conditions can be discovered and handled in a timely manner.

[0168] The temperature control device detection unit first receives the heating or cooling task command input by the user, parses the command, and extracts key parameters such as target temperature, heating / cooling rate, and duration.

[0169] According to the parsed task command, the unit will send an open command to the control switch of the corresponding heating element or cooling element, and pass the necessary heating or cooling parameters (such as power, time, etc.) to the element.

[0170] The unit will use the trained simulation model to simulate the heating or cooling process. The simulation process will take into account a variety of factors to output accurate predicted temperature values.

[0171] Finally, the unit stores the predicted temperature value obtained through simulation for subsequent use.

[0172] In the subsequent temperature control process, the temperature control device detection unit will use the stored predicted temperature values ​​to compare and analyze with the actual temperature, thereby achieving real-time adjustment and optimization of the temperature control strategy. At the same time, these predicted temperature values ​​can also be used for fault detection and early warning, improving the overall performance and reliability of the system.

[0173] Through this series of operation processes, the temperature control device detection unit can effectively respond to and process the user's heating and cooling task commands, providing strong support for the temperature control of the organic electroluminescent device.

[0174] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature data acquisition unit is also used for:

[0175] Sending a heating command to the heating element, and according to the received heating task command, the temperature data acquisition unit or the control system sends an opening command to the control switch of the heating element;

[0176] The target temperature and heating power in the heating task command are transmitted to the heating element. When the heating element performs the heating task, the temperature data acquisition unit monitors its actual temperature in real time through the temperature sensor arranged near the heating element.

[0177] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature data acquisition unit is also used for:

[0178] Send a cooling command to the cooling element, the cooling command includes the cooling target temperature parameter, cooling rate parameter and cooling time parameter

[0179] According to the received refrigeration task command, the temperature data acquisition unit or the control system sends an opening command to the control switch of the refrigeration element;

[0180] The target temperature and cooling power in the cooling task command are transmitted to the cooling element for cooling operation. When the cooling element performs the cooling task, the temperature data acquisition unit monitors the actual temperature of the cooling element in real time through the temperature sensor arranged near the cooling element.

[0181] The actual temperature data of the refrigeration components is collected for subsequent temperature control, fault detection and early warning.

[0182] In the organic electroluminescent device temperature heating and cooling joint system, the temperature data acquisition unit is responsible for real-time monitoring of the actual temperature of the heating element and the cooling element when performing the task, so that the system can accurately obtain key data for subsequent temperature control and fault detection. The following is a specific functional description of the temperature data acquisition unit in the heating and cooling process:

[0183] When receiving the heating task command, the temperature data acquisition unit or control system will send an on command to the control switch of the heating element to start the heating process. At the same time, the temperature data acquisition unit will pass the key parameters such as the target temperature and heating power in the heating task command to the heating element so that the heating process can proceed according to the predetermined requirements.

[0184] When the heating element performs the heating task, the temperature data acquisition unit will monitor its actual temperature in real time through the temperature sensor arranged near the heating element. These real-time temperature data are of great significance for evaluating the heating effect, adjusting the heating strategy and preventing overheating.

[0185] When receiving a cooling task command, the temperature data acquisition unit or control system will send an on command to the control switch of the cooling element to start the cooling process. Similar to the heating process, the temperature data acquisition unit will pass the target temperature, cooling power, cooling time and other parameters in the cooling task command to the cooling element, so that the cooling process can be carried out according to user requirements.

[0186] When the refrigeration element performs the refrigeration task, the temperature data acquisition unit will monitor its actual temperature in real time through the temperature sensor arranged near the refrigeration element. These real-time temperature data are also important for evaluating the refrigeration effect, adjusting the refrigeration strategy and preventing overcooling.

[0187] The actual temperature data of the heating and cooling elements collected will be used in the subsequent temperature control process. By comparing and analyzing with the preset target temperature, the system can dynamically adjust the heating or cooling power to keep the operating temperature of the organic electroluminescent device within the optimal range.

[0188] By monitoring and analyzing real-time temperature data, the temperature data acquisition unit can also detect and report potential faults or abnormal conditions in a timely manner. For example, if the actual temperature of a heating element or a cooling element deviates significantly from the expected value, the system will trigger a fault warning mechanism so that the user can take timely measures to deal with it.

[0189] In summary, the temperature data acquisition unit plays a vital role in the organic electroluminescent device temperature heating and cooling joint system. It provides accurate and reliable data support for the system by monitoring the actual temperature of the heating element and the cooling element in real time, thus achieving the accuracy and reliability of temperature control.

[0190] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature data correction unit is also used for:

[0191] Acquire the actual temperature data of the heating element in real time, and compare it with the expected temperature value preset in the heating task, and calculate the first temperature comparison temperature difference;

[0192] Acquire the actual temperature data of the refrigeration element in real time, compare it with the expected temperature value preset in the refrigeration task, and calculate the second temperature comparison temperature difference;

[0193] Evaluate the first temperature comparison temperature difference and the second temperature comparison temperature difference to determine whether the first temperature comparison temperature difference and the second temperature comparison temperature difference exceed a preset temperature error range;

[0194] The preset temperature error range is set according to system requirements and control accuracy to measure the acceptable deviation between the actual temperature and the expected temperature;

[0195] If the first temperature comparison temperature difference exceeds the preset temperature error range or the second temperature comparison temperature difference exceeds the preset temperature error range, or the first temperature comparison temperature difference and the second temperature comparison temperature difference both exceed the preset temperature error range, the operating parameters of the heating element or the cooling element need to be adjusted;

[0196] Based on the first temperature comparison temperature difference or the second temperature comparison temperature difference, modifying the operating parameters of the heating element and the cooling element to reduce the deviation between the actual temperature and the expected temperature;

[0197] According to the temperature difference judgment and the operation parameter correction decision, the operation parameters of the heating element and the cooling element are corrected to obtain the corrected heating element operation parameters and the corrected cooling element operation parameters.

[0198] In the organic electroluminescent device temperature heating and cooling joint system, it is responsible for comparing the actual temperature with the expected temperature, and adjusting the operating parameters of the heating element and the cooling element according to the temperature difference, so that the system can accurately control the temperature. The following is a specific functional description of the temperature data correction unit:

[0199] The temperature data correction unit obtains the actual temperature data of the heating element and the cooling element in real time. For the heating element, it compares the actual temperature with the expected temperature value preset in the heating task and calculates the first temperature comparison temperature difference.

[0200] For the cooling element, it also compares the actual temperature with the expected temperature value preset in the cooling task and calculates a second temperature comparison temperature difference.

[0201] The temperature data correction unit evaluates the calculated first temperature comparison temperature difference and second temperature comparison temperature difference, and compares the two temperature differences with a preset temperature error range to determine whether the deviation between the actual temperature and the expected temperature is within an acceptable range.

[0202] The preset temperature error range is set according to system requirements and control accuracy, and it represents the maximum allowable deviation between the actual temperature and the expected temperature.

[0203] If the first temperature comparison temperature difference or the second temperature comparison temperature difference, or both, exceed the preset temperature error range, the temperature data correction unit will determine that the operating parameters of the heating element or the cooling element need to be adjusted.

[0204] Based on the size and direction of the temperature difference, it will decide how to correct the operating parameters of the heating and cooling elements to reduce the deviation between the actual temperature and the expected temperature. Based on the temperature difference assessment and operating parameter correction decision, the temperature data correction unit will make actual corrections to the operating parameters of the heating and cooling elements. The corrected operating parameters will more accurately reflect the actual temperature requirements of the system, thereby improving the accuracy of temperature control.

[0205] Get real-time temperature data: Use temperature sensors and other devices to get the actual temperature of heating and cooling elements in real time.

[0206] Calculate the temperature difference, compare the actual temperature with the expected temperature, and calculate the temperature difference for the heating element and the cooling element respectively.

[0207] Temperature difference assessment compares the calculated temperature difference with the preset temperature error range to determine whether the operating parameters need to be adjusted.

[0208] Correct the decision to adjust the operating parameters of the heating and cooling elements based on the size and direction of the temperature difference.

[0209] Parameter correction. The operating parameters of the heating and cooling elements are actually corrected and sent to the corresponding control units.

[0210] After the parameters are corrected, the actual temperature is continuously monitored and the parameters are adjusted again as needed, forming a closed-loop control process. Through the above steps, the temperature data correction unit can keep the temperature of the organic electroluminescent device within the optimal range at all times, thereby improving the luminous efficiency of the device and extending its service life.

[0211] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device operating parameter correction unit is also used for:

[0212] Retrieving historical data of temperature values ​​of various electrical components in the organic electroluminescent device during operation from the database, including temperature records in different time periods and under different working conditions;

[0213] Acquire historical user temperature control commands pre-stored in a database, the historical user temperature control commands including instructions issued for regulating device temperature, the instructions issued for regulating device temperature including target temperature, heating and cooling modes;

[0214] Obtain historical control parameters of heating elements and cooling elements. The historical control parameters of heating elements and cooling elements are actual working parameters of heating elements and cooling elements when executing user temperature control commands, such as power and working time;

[0215] Preprocess the retrieved temperature value history data, user temperature control commands, and control parameters of heating elements and cooling elements, integrate the preprocessed data into a data set, and establish a corresponding relationship between the temperature value, user command, and control parameter at the same time point in the data set;

[0216] The input should include historical data of temperature values, user temperature control commands, control parameters of heating elements, and control parameters of cooling elements. The output should be simulated temperature control parameters.

[0217] Use the integrated data set to train the deep learning model, iteratively update the model parameters, minimize the loss function, and enable the model to gradually learn the mapping relationship between the temperature control parameters and the input data;

[0218] After training is complete, the model is validated using an independent test data set that includes historical temperature value data that was not used in training, user temperature control commands, heating element control parameters, and cooling element control parameters;

[0219] The model is evaluated, and if the model performance meets the expected requirements, it is saved as a simulation model of the temperature control parameters of each electrical component inside the organic electroluminescent device during operation.

[0220] In the organic electroluminescent device temperature heating and cooling joint system, it is responsible for simulating and optimizing the temperature control parameters using historical data to improve the temperature control accuracy and efficiency of the system. The following is a specific functional description of the temperature control device operating parameter correction unit:

[0221] Retrieve the historical temperature data of each electrical component in the organic electroluminescent device during operation from the database, including temperature records in different time periods and under different working conditions. Obtain the historical user temperature control commands pre-stored in the database, including instructions issued to control the device temperature, such as target temperature, heating and cooling modes, etc.

[0222] Get the historical control parameters of the heating and cooling elements. These parameters are the actual working parameters of the heating and cooling elements when executing the user's temperature control command, such as power, working time, etc.

[0223] The retrieved data is preprocessed, including data cleaning and format unification, and then the preprocessed data is integrated into a data set, and a corresponding relationship is established between the temperature values, user commands and control parameters at the same time point in the data set.

[0224] The deep learning model is trained using the integrated data set. The model input includes historical temperature value data, user temperature control commands, heating element control parameters, and cooling element control parameters, and the output is the simulated temperature control parameters.

[0225] By iteratively updating the model parameters and minimizing the loss function, the model can gradually learn the mapping relationship between the temperature control parameters and the input data. This process helps the model accurately predict the temperature control parameters that should be used under different conditions.

[0226] After training is complete, the model is validated using an independent test data set that includes historical temperature values, user temperature control commands, heating element control parameters, and cooling element control parameters that were not used in training.

[0227] The performance of the model is evaluated by comparing the model prediction results with the actual temperature control effect. If the model performance meets the expected requirements, it will be saved as a simulation model of the temperature control parameters of each electrical component inside the organic electroluminescent device during operation for subsequent use.

[0228] Retrieve the required temperature value history data, user temperature control commands, and control parameters of heating and cooling elements from the database. Perform preprocessing operations such as cleaning and formatting the retrieved data to ensure data quality and consistency. Integrate the preprocessed data into a data set and establish the corresponding relationship between the data points in the data set. Use the integrated data set to train the deep learning model and optimize the model's prediction performance by iteratively updating the model parameters. Use an independent test data set to verify the trained model and evaluate the model's prediction accuracy and generalization ability.

[0229] If the model performance meets the expected requirements, it is saved as a temperature control parameter simulation model for use in subsequent temperature control processes.

[0230] By realizing the function of the temperature control device operating parameter correction unit, the organic electroluminescent device temperature heating and cooling combined system can more accurately simulate and predict the temperature control parameters that should be adopted under different conditions, thereby improving the temperature control accuracy and efficiency of the system.

[0231] Specifically, in the organic electroluminescent device temperature heating and cooling combined system provided by the present invention, the temperature control device operating parameter correction unit is also used for:

[0232] Integrate the heating element parameters and cooling element parameters corresponding to the corrected user temperature control command, as well as the historical user temperature control command and the historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation;

[0233] According to the objectives and outputs of the temperature control parameter simulation model, the optimization problem of the genetic algorithm is defined. The optimization problem of the genetic algorithm includes optimization objectives, decision variables and constraints. The optimization objectives include minimizing the temperature deviation to maximize the energy efficiency. The decision variables include the control parameters of the heating element and the control parameters of the cooling element. The constraints include the temperature range and the power limit.

[0234] Determine the fitness function of the genetic algorithm, which is used to evaluate the quality of each solution (i.e., a set of control parameters);

[0235] Initialize the population of the genetic algorithm, that is, generate a set of random control parameters as the initial solution;

[0236] Through genetic operations such as selection, crossover and mutation, the solutions in the population are continuously updated iteratively, and the fitness value of each solution is calculated;

[0237] Select excellent solutions according to the fitness value for retention and reproduction, and eliminate solutions with poor fitness;

[0238] Repeat the above process until the preset number of iterations is reached or the optimization target converges;

[0239] Obtaining optimized control parameters from the output of the genetic algorithm, that is, obtaining the heating element parameters and the cooling element parameters corresponding to the optimized user temperature control command;

[0240] The optimized parameters are updated to the temperature control parameter simulation model to obtain the optimized temperature control parameter simulation model of each electrical component inside the organic electroluminescent device during operation.

[0241] In the organic electroluminescent device temperature heating and cooling joint system, the temperature control device operating parameter correction unit is not only responsible for using historical data to train the deep learning model to simulate the temperature control parameters, but also further optimizes these parameters through genetic algorithms to improve the overall performance and energy efficiency of the system. The following are the specific functions and implementation steps of the temperature control device operating parameter correction unit in genetic algorithm optimization:

[0242] Integrate the heating element parameters and cooling element parameters corresponding to the corrected user temperature control command. Obtain historical user temperature control commands and historical data of the temperature values ​​of each electrical component inside the organic electroluminescent device during operation. Define the optimization problem of the genetic algorithm based on the objectives and outputs of the temperature control parameter simulation model.

[0243] The optimization objective includes minimizing the temperature deviation to maximize the energy efficiency. The decision variables are the control parameters of the heating element and the control parameters of the cooling element. The constraints include the temperature range and power limit to make the optimization results feasible in actual operation.

[0244] Fitness function determination, determine the fitness function of the genetic algorithm, which is used to evaluate the quality of each solution (i.e., a set of control parameters). The fitness function is usually defined based on the deviation of the simulated temperature control effect from the expected target.

[0245] Population initialization, initializing the population of the genetic algorithm, that is, generating a set of random control parameters as initial solutions. These initial solutions constitute the search space of the genetic algorithm.

[0246] Genetic operations and iterative updates, through genetic operations such as selection, crossover and mutation, the solutions in the population are continuously iterated and updated.

[0247] In each iteration, the fitness value of each solution is calculated, and excellent solutions are selected for retention and reproduction based on the fitness value, and solutions with poor fitness are eliminated.

[0248] The optimization results are obtained and the model is updated, and the above genetic algorithm iteration process is repeated until the preset number of iterations is reached or the optimization target converges.

[0249] The optimized control parameters are obtained from the output of the genetic algorithm, that is, the heating element parameters and cooling element parameters corresponding to the optimized user temperature control command are obtained. The optimized parameters are updated to the temperature control parameter simulation model to obtain the optimized temperature control parameter simulation model of each electrical component inside the organic electroluminescent device during operation.

[0250] Specific implementation steps;

[0251] Collect and integrate all necessary data, including heating element and cooling element parameters corresponding to corrected user temperature control commands, historical user temperature control commands, and temperature value history data.

[0252] Clarify the optimization objectives, decision variables and constraints of the genetic algorithm to provide guidance for subsequent genetic algorithm operations.

[0253] Design a fitness function based on actual needs to evaluate the quality of each solution. The design of the fitness function should be able to accurately reflect the deviation between the temperature control effect and the expected target.

[0254] Generate a set of random control parameters as the initial solution to form the initial population of the genetic algorithm.

[0255] Genetic operations and iterations:

[0256] Selection: Select excellent solutions from the current population as parents based on the fitness value.

[0257] Crossover: Perform a crossover operation on the selected parent generation to generate a new child solution.

[0258] Mutation: Randomly mutate the offspring solutions to increase the diversity of the population.

[0259] Iterative update: Repeat the selection, crossover and mutation operations, continuously iteratively update the solutions in the population, and calculate the fitness value of each solution.

[0260] Optimization result acquisition: When the preset number of iterations is reached or the optimization target converges, the solution with the highest fitness is selected from the current population as the optimization result.

[0261] Model update: Update the optimized control parameters to the temperature control parameter simulation model to improve the prediction accuracy of the model and the overall performance of the system.

[0262] Through the genetic algorithm optimization function of the temperature control device operating parameter correction unit, the organic electroluminescent device temperature heating and cooling combined system can more accurately find the optimal temperature control parameter combination, thereby improving the energy efficiency and stability of the system while achieving precise temperature control.

[0263] Specifically, the temperature control unit of the organic electroluminescent device temperature heating and cooling combined system provided by the present invention is also used for:

[0264] Real-time monitoring of the operating temperature of the organic electroluminescent device to obtain real-time temperature monitoring data;

[0265] Compare the real-time temperature monitoring data with the target temperature in the user's temperature control requirements;

[0266] If the real-time temperature exceeds the target temperature range, the subsequent temperature control process is triggered;

[0267] The real-time OLED temperature monitoring data is used as input to the optimized temperature control parameter simulation model;

[0268] The optimized temperature control parameter simulation model predicts the control parameters that should be used for the heating element and the cooling element to achieve the target temperature based on the input temperature data and the relationship between the temperature control parameters and the temperature learned in advance;

[0269] Obtaining predicted control parameters of the heating element and the cooling element from the optimized temperature control parameter simulation model;

[0270] The control parameters of the heating element and the cooling element include heating power, heating time, cooling power, and cooling time;

[0271] The predicted heating element control parameters are sent to the heating device, and the heating device performs a heating operation according to the predicted heating element control parameters;

[0272] The predicted refrigeration element control parameters are sent to the refrigeration element, and the refrigeration element performs a refrigeration operation according to the predicted refrigeration element control parameters.

[0273] In the combined system of heating and cooling the organic electroluminescent device, the temperature control unit is responsible for real-time monitoring and adjusting the operating temperature of the device to keep it within the optimal working range. The following is a detailed description of the specific functions of the temperature control unit:

[0274] The temperature control unit monitors the operating temperature of the organic electroluminescent device in real time through the built-in temperature sensor or related equipment, and obtains real-time temperature monitoring data. The real-time temperature monitoring data is compared with the target temperature in the temperature control requirements set by the user. If the user requires the device to be kept within a specific temperature range, the system will compare the current temperature with the target temperature range.

[0275] If the real-time temperature exceeds the target temperature range set by the user, the temperature control unit will automatically trigger the subsequent temperature control process, including starting heating or cooling operations to adjust the device temperature back to the target range.

[0276] The real-time OLED temperature monitoring data is used as input to the optimized temperature control parameter simulation model. The model uses deep learning and other technologies, combined with the pre-learned relationship between temperature control parameters and temperature, to predict the control parameters that should be used by the heating and cooling elements to achieve the target temperature.

[0277] The predicted control parameters of the heating element and the cooling element are obtained from the optimized temperature control parameter simulation model. These parameters include heating power, heating time, cooling power, cooling time, etc. The predicted heating element control parameters are sent to the heating device, and the heating device performs heating operations according to these parameters; similarly, the predicted cooling element control parameters are sent to the cooling element, and the cooling element performs cooling operations according to these parameters.

[0278] During the heating or cooling operation, the temperature control unit continuously monitors the operating temperature of the organic electroluminescent device and dynamically adjusts the control parameters of the heating and cooling elements according to the deviation between the real-time temperature data and the target temperature. By continuously iterating and optimizing the control parameters, the temperature control unit can keep the device temperature within the target range, while improving the energy efficiency and stability of the system.

[0279] Specific implementation steps;

[0280] The temperature control unit is started to monitor the operating temperature of the organic electroluminescent device in real time.

[0281] Get real-time temperature monitoring data and compare it with the target temperature set by the user.

[0282] If the real-time temperature exceeds the target temperature range, it is determined that the temperature control process needs to be started.

[0283] The real-time temperature data is input into the optimized temperature control parameter simulation model to predict the control parameters of the heating element and the cooling element.

[0284] The predicted parameters are obtained from the model and are ready to be sent to the corresponding heating and cooling elements.

[0285] The predicted heating element control parameters are sent to the heating device, and the cooling element control parameters are sent to the cooling element.

[0286] The heating device and the cooling element perform corresponding heating or cooling operations according to the received control parameters.

[0287] The device temperature is continuously monitored during operation, and control parameters are adjusted as needed until the device temperature stabilizes within the target range.

[0288] Through the above steps, the temperature control unit can achieve precise control and dynamic adjustment of the temperature of the organic electroluminescent device, so that it can operate efficiently and stably.

[0289] Specifically, the temperature control unit of the organic electroluminescent device temperature heating and cooling combined system provided by the present invention is also used for:

[0290] The heating device starts to perform a heating operation according to the received heating element control parameters, and the cooling element starts to perform a cooling operation according to the received cooling element control parameters;

[0291] The initial control parameters are predicted based on the optimized temperature control parameter simulation model according to the real-time temperature monitoring data;

[0292] While the heating device and the cooling element execute the control parameters, the operating temperature of the organic electroluminescent device is continuously monitored in real time to obtain updated real-time temperature monitoring data;

[0293] Feedback the real-time temperature monitoring data to the temperature control unit for temperature control parameter correction;

[0294] Inputting updated real-time temperature monitoring data into the optimized temperature control parameter simulation model;

[0295] The optimized temperature control parameter simulation model corrects the control parameters of the heating element and the cooling element according to the deviation between the real-time temperature data and the target temperature, and outputs the corrected heating element control parameters and the cooling element control parameters;

[0296] The corrected control parameters are sent to the heating device and the cooling element again to replace the previous control parameters, and the heating or cooling operation is instructed to be performed according to the new parameters, and the temperature control process of forming a closed loop is repeated;

[0297] Until the real-time organic electroluminescent device temperature monitoring data meets the user's temperature control requirements, that is, the temperature deviation is within an acceptable range, the correction process is stopped to maintain the current control parameters running stably.

[0298] In the combined system of heating and cooling the organic electroluminescent device, the temperature control unit is not only responsible for the initial prediction and transmission of temperature control parameters, but also forms a closed-loop temperature control process to keep the device temperature within the target range set by the user. The following are the specific functions and steps of the temperature control unit in this process:

[0299] Closed-loop control process of the temperature control unit;

[0300] After receiving the heating element control parameters sent by the temperature control unit, the heating device starts to perform the heating operation; similarly, the cooling element performs the cooling operation according to the received cooling element control parameters. The initial control parameters are predicted based on the optimized temperature control parameter simulation model and the real-time organic electroluminescent device temperature monitoring data.

[0301] While the heating or cooling operation is being performed, the temperature control unit continuously monitors the operating temperature of the organic electroluminescent device in real time through a built-in temperature sensor or related equipment to obtain the latest real-time temperature monitoring data.

[0302] The temperature monitoring data acquired in real time is fed back to the temperature control unit to evaluate the deviation between the current temperature and the target temperature.

[0303] If there is a deviation, the updated real-time temperature monitoring data is input into the optimized temperature control parameter simulation model.

[0304] The model dynamically corrects the control parameters of the heating and cooling elements according to the deviation between the real-time temperature data and the target temperature to reduce or eliminate the deviation.

[0305] The temperature control unit receives the corrected heating element and cooling element control parameters output by the model.

[0306] These corrected control parameters are sent to the heating device and the cooling element again to replace the previous control parameters.

[0307] The heating device and the cooling element adjust the heating or cooling operation according to the new control parameters to further approach the target temperature.

[0308] The closed loop is repeated, and the above process (continuous temperature monitoring, data feedback, parameter correction, parameter update and execution) is continuously repeated to form a closed-loop temperature control process. Through this closed-loop process, the temperature control unit can continuously and dynamically adjust the heating and cooling operations to keep the temperature of the organic electroluminescent device within the target range set by the user. When the real-time organic electroluminescent device temperature monitoring data meets the user's temperature control requirements, that is, the temperature deviation is within an acceptable range, the temperature control unit will stop the correction process. At this time, the heating device and the cooling element will operate stably according to the current control parameters to maintain the device temperature within the target range.

[0309] The closed-loop control process of the temperature control unit achieves precise and stable control of the temperature of the organic electroluminescent device through continuous monitoring, dynamic correction and parameter update. This process not only improves the response speed and adjustment accuracy of the system, but also enables the device to operate under optimal temperature conditions, thereby extending its service life and improving luminous efficiency.

[0310] The present invention solves the problem that the prior art cannot perform temperature control correction according to the loss of heating and cooling components and the real-time temperature of components in electrical equipment when performing temperature control on electroluminescent devices through the following technical solutions:

[0311] The present invention is provided with a temperature control device detection unit, which can collect the resistance value and operation data of the heating element and the cooling element under different temperature environments. Based on the data, a heating simulation model of the heating element and a cooling simulation model of the cooling element are trained through a deep learning model. These models can simulate the expected temperature values ​​under heating and cooling tasks, providing a prediction basis for temperature control.

[0312] The temperature data acquisition unit collects the actual temperature of the heating element and the cooling element after performing the task in real time, and compares it with the expected temperature value obtained by the simulation model. The first temperature comparison temperature difference and the second temperature comparison temperature difference are obtained by comparison, and these temperature differences reflect the deviation between the actual temperature and the expected temperature.

[0313] If the first temperature comparison temperature difference or the second temperature comparison temperature difference exceeds the preset temperature error range, it indicates that the operating parameters of the current heating element or cooling element need to be adjusted. The temperature data correction unit will correct the operating parameters of the heating element and the cooling element according to the size and direction of the temperature difference to reduce the deviation between the actual temperature and the expected temperature.

[0314] The temperature control device operation parameter correction unit uses historical data to further train the deep learning model to obtain a simulation model of the temperature control parameters of each electrical component in the organic electroluminescent device during operation. This simulation model is optimized through a genetic algorithm to obtain more accurate temperature control parameters. When the real-time temperature monitoring data exceeds the target temperature range, the optimized model is used to output the corrected control parameters of the heating and cooling elements to achieve more accurate temperature control.

[0315] The temperature control unit continuously monitors the operating temperature of the organic electroluminescent device while the heating and cooling elements execute the control parameters, and corrects the control parameters according to the real-time temperature data. This closed-loop control process enables the system to make temperature control corrections in real time according to the loss of the heating and cooling elements and the real-time temperature of the components in the electrical equipment, thereby improving the accuracy and stability of temperature control.

[0316] In summary, the present invention effectively solves the shortcomings of the prior art in temperature control by integrating technical means such as deep learning models, real-time data acquisition and comparison, temperature data correction, genetic algorithm optimization, and closed-loop temperature control, and realizes accurate and dynamic control of the temperature of electroluminescent devices.

[0317] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if the modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include the modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A combined system for heating and cooling an organic electroluminescent device, characterized in that: include: The temperature control device detection unit is used to receive a heating task command and a cooling task command, send the heating task command to the heating element, send the cooling task command to the cooling element, and simulate the heating task command through the heating element heating simulation model to obtain the heating task expected temperature value, and also simulate the cooling task command through the cooling element cooling simulation model to obtain the cooling task expected temperature value; The temperature data acquisition unit is used to collect the temperature values ​​of the electrical components inside the organic electroluminescent device during operation, and also collects the actual temperature of the heating component after executing the heating task command to obtain the actual temperature of the heating component, and the actual temperature of the cooling component after executing the cooling task command to obtain the actual temperature of the cooling component; A temperature data correction unit is used to compare the actual temperature of the heating element with the expected temperature value of the heating task to obtain a first temperature comparison temperature difference, and to compare the actual temperature of the cooling element with the expected temperature value of the cooling task to obtain a second temperature comparison temperature difference. If the first temperature comparison temperature difference and the second temperature comparison temperature difference have a value exceeding a preset temperature error range, the operating parameters of the heating element and the cooling element are corrected to obtain corrected heating element operating parameters and corrected cooling element operating parameters. A temperature control device operating parameter correction unit is used to train a deep learning model based on the historical data of temperature values ​​of each electrical component in the organic electroluminescent device during operation, historical user temperature control commands, and historical heating component and cooling component control parameters in the database to obtain a simulation model of the temperature control parameters of each electrical component in the organic electroluminescent device during operation, and optimize the simulation model of the temperature control parameters of each electrical component in the organic electroluminescent device during operation by acquiring data information in the data processing process of the temperature control device operating parameter correction unit to obtain an optimized simulation model of the temperature control parameters of each electrical component in the organic electroluminescent device during operation; The temperature control unit and the optimized simulation model of the temperature control parameters of each electrical component inside the organic electroluminescent device during operation output the control parameters of the heating component and the cooling component according to the real-time temperature monitoring data of the organic electroluminescent device, and continuously use the optimized simulation model of the temperature control parameters of each electrical component inside the organic electroluminescent device during operation to correct the control parameters of the heating component and the cooling component until the real-time temperature monitoring data of the organic electroluminescent device meets the temperature control requirements of the user.

2. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 1, characterized in that: The temperature control device detection unit is also used for: Collect data of the heating element and the cooling element when they are running in different temperature environments. The data of the heating element and the cooling element when they are running in different temperature environments include current, voltage, power and corresponding temperature changes. Different temperature environments include low temperature, normal temperature and high temperature; Monitor the actual temperature data of the heating element and the cooling element after receiving the temperature control command and pre-process the data; Extracting data features from the preprocessed data includes heating power features, cooling power features, temperature change rate features, and ambient temperature features; The extracted features are used as input and the corresponding actual temperature data as output to train the deep learning model, and the trained model is verified to obtain a heating simulation model for the heating element and a cooling simulation model for the cooling element.

3. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 2, characterized in that: The temperature control device detection unit is also used for: The temperature control device detection unit receives a user's heating task command and a cooling task command, wherein the heating task command and the cooling task command include a target temperature parameter, a heating rate parameter, a cooling rate parameter, and a duration parameter; According to the received heating task command, the temperature control device detection unit sends an opening command to the heating element control switch, and transmits the heating power parameter and the heating time parameter to the heating element; For the cooling task command, the temperature control device detection unit sends an opening command to the cooling element control switch and transmits the corresponding cooling parameters; After sending the heating task command, the temperature control device detection unit uses the trained heating element heating simulation model to simulate the heating process; The simulation process includes the characteristics of the heating element, the ambient temperature and the heating power factor, and outputs the expected temperature value of the heating task; For the refrigeration task command, the refrigeration process is simulated using the refrigeration simulation model of the refrigeration element, and the expected temperature value of the refrigeration task is output; The temperature control device detection unit stores the expected temperature value of the heating task and the expected temperature value of the cooling task for temperature control strategy adjustment, fault detection and early warning.

4. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 1, characterized in that: The temperature data acquisition unit is also used for: Sending a heating command to the heating element, and according to the received heating task command, the temperature data acquisition unit or the control system sends an opening command to the control switch of the heating element; The target temperature and heating power in the heating task command are transmitted to the heating element. When the heating element performs the heating task, the temperature data acquisition unit monitors its actual temperature in real time through the temperature sensor arranged near the heating element.

5. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 4, characterized in that: The temperature data acquisition unit is also used for: Send a cooling command to the cooling element, the cooling command includes the cooling target temperature parameter, cooling rate parameter and cooling time parameter According to the received refrigeration task command, the temperature data acquisition unit or the control system sends an opening command to the control switch of the refrigeration element; The target temperature and cooling power in the cooling task command are transmitted to the cooling element for cooling operation. When the cooling element performs the cooling task, the temperature data acquisition unit monitors the actual temperature of the cooling element in real time through the temperature sensor arranged near the cooling element.

6. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 1, characterized in that: The temperature data correction unit is further used for: Acquire the actual temperature data of the heating element in real time, and compare it with the expected temperature value preset in the heating task, and calculate the first temperature comparison temperature difference; Acquire the actual temperature data of the refrigeration element in real time, compare it with the expected temperature value preset in the refrigeration task, and calculate the second temperature comparison temperature difference; Evaluate the first temperature comparison temperature difference and the second temperature comparison temperature difference to determine whether the first temperature comparison temperature difference and the second temperature comparison temperature difference exceed a preset temperature error range; The preset temperature error range is set according to system requirements and control accuracy to measure the acceptable deviation between the actual temperature and the expected temperature; If the first temperature comparison temperature difference exceeds the preset temperature error range or the second temperature comparison temperature difference exceeds the preset temperature error range, or the first temperature comparison temperature difference and the second temperature comparison temperature difference both exceed the preset temperature error range, the operating parameters of the heating element or the cooling element need to be adjusted; Based on the first temperature comparison temperature difference or the second temperature comparison temperature difference, modifying the operating parameters of the heating element and the cooling element to reduce the deviation between the actual temperature and the expected temperature; According to the temperature difference judgment and the operation parameter correction decision, the operation parameters of the heating element and the cooling element are corrected to obtain the corrected heating element operation parameters and the corrected cooling element operation parameters.

7. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 1, characterized in that: The temperature control device operating parameter correction unit is also used for: Retrieving historical data of temperature values ​​of various electrical components inside the organic electroluminescent device during operation from the database, including temperature records in different time periods and under different working conditions; Acquire historical user temperature control commands pre-stored in a database, the historical user temperature control commands including instructions issued for regulating device temperature, the instructions issued for regulating device temperature including target temperature, heating and cooling modes; Obtain historical control parameters of the heating element and the cooling element, where the historical control parameters of the heating element and the cooling element are actual working parameters of the heating element and the cooling element when executing the user temperature control command; Preprocess the retrieved temperature value history data, user temperature control commands, and control parameters of heating elements and cooling elements, integrate the preprocessed data into a data set, and establish a corresponding relationship between the temperature value, user command, and control parameter at the same time point in the data set; Use the integrated data set to train the deep learning model, iteratively update the model parameters, minimize the loss function, and enable the model to gradually learn the mapping relationship between the temperature control parameters and the input data; After training is complete, the model is validated using an independent test data set that includes historical temperature value data that was not used in training, user temperature control commands, heating element control parameters, and cooling element control parameters; The model is evaluated, and if the model performance meets the expected requirements, it is saved as a simulation model of the temperature control parameters of each electrical component inside the organic electroluminescent device during operation.

8. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 7, characterized in that: The temperature control device operating parameter correction unit is also used for: Obtain historical user temperature control commands pre-stored in a database, retrieve heating element parameters and cooling element operating parameters corresponding to the historical user temperature control commands, correct the heating element parameters corresponding to the historical user temperature control commands with the corrected heating element operating parameters to obtain the heating element parameters corresponding to the corrected user temperature control commands, correct the cooling element parameters corresponding to the historical user temperature control commands with the corrected cooling element operating parameters to obtain the cooling element parameters corresponding to the corrected user temperature control commands, and use the heating element parameters corresponding to the corrected user temperature control commands, the cooling element parameters corresponding to the corrected user temperature control commands, the historical user temperature control commands, and the historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation to optimize the temperature control parameter simulation model of the electrical components inside the organic electroluminescent device during operation through a genetic algorithm to obtain the optimized temperature control parameter simulation model of the electrical components inside the organic electroluminescent device during operation; The specific steps of optimizing the simulation model of temperature control parameters of each electrical component in the organic electroluminescent device during operation by using a genetic algorithm using the heating element parameters corresponding to the corrected user temperature control command, the cooling element parameters corresponding to the corrected user temperature control command, the historical user temperature control command, and the historical data of the temperature values ​​of each electrical component in the organic electroluminescent device during operation are as follows: Integrate the heating element parameters and cooling element parameters corresponding to the corrected user temperature control command, as well as the historical user temperature control command and the historical data of the temperature values ​​of the electrical components inside the organic electroluminescent device during operation; According to the objectives and outputs of the temperature control parameter simulation model, the optimization problem of the genetic algorithm is defined. The optimization problem of the genetic algorithm includes optimization objectives, decision variables and constraints. The optimization objectives include minimizing the temperature deviation to maximize the energy efficiency. The decision variables include the control parameters of the heating element and the control parameters of the cooling element. The constraints include the temperature range and the power limit. Determine the fitness function of the genetic algorithm, which is used to evaluate the quality of each solution, each solution is a set of control parameters; Initialize the population of the genetic algorithm, that is, generate a set of random control parameters as the initial solution; Through selection, crossover and mutation genetic operations, the solutions in the population are continuously updated iteratively, and the fitness value of each solution is calculated; Select excellent solutions according to the fitness value for retention and reproduction, and eliminate solutions with poor fitness; Repeat the above process until the preset number of iterations is reached or the optimization target converges; Obtaining optimized control parameters from the output of the genetic algorithm, that is, obtaining the heating element parameters and the cooling element parameters corresponding to the optimized user temperature control command; The optimized parameters are updated to the temperature control parameter simulation model to obtain the optimized temperature control parameter simulation model of each electrical component inside the organic electroluminescent device during operation.

9. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 1, characterized in that: The temperature control unit is also used for: Real-time monitoring of the operating temperature of the organic electroluminescent device to obtain real-time temperature monitoring data; Compare the real-time temperature monitoring data with the target temperature in the user's temperature control requirements; If the real-time temperature exceeds the target temperature range, the temperature control process is triggered, and the real-time organic electroluminescent device temperature monitoring data is used as input to the optimized temperature control parameter simulation model; The optimized temperature control parameter simulation model predicts the control parameters that should be used for the heating element and the cooling element to achieve the target temperature based on the input temperature data and the relationship between the temperature control parameters and the temperature learned in advance; Obtaining predicted control parameters of the heating element and the cooling element from the optimized temperature control parameter simulation model; The control parameters of the heating element and the cooling element include heating power, heating time, cooling power, and cooling time; The predicted heating element control parameters are sent to the heating device, and the heating device performs a heating operation according to the predicted heating element control parameters; The predicted refrigeration element control parameters are sent to the refrigeration element, and the refrigeration element performs a refrigeration operation according to the predicted refrigeration element control parameters.

10. The organic electroluminescent device temperature heating and cooling combined system as claimed in claim 9, characterized in that: The temperature control unit is also used for: The heating device starts to perform a heating operation according to the received heating element control parameters, and the cooling element starts to perform a cooling operation according to the received cooling element control parameters; The initial control parameters are predicted based on the optimized temperature control parameter simulation model according to the real-time temperature monitoring data; While the heating device and the cooling element execute the control parameters, the operating temperature of the organic electroluminescent device is continuously monitored in real time to obtain updated real-time temperature monitoring data; Feedback the real-time temperature monitoring data to the temperature control unit for temperature control parameter correction; Inputting updated real-time temperature monitoring data into the optimized temperature control parameter simulation model; The optimized temperature control parameter simulation model corrects the control parameters of the heating element and the cooling element according to the deviation between the real-time temperature data and the target temperature, and outputs the corrected heating element control parameters and the cooling element control parameters; The corrected control parameters are sent to the heating device and the cooling element again to replace the previous control parameters, and the heating or cooling operation is instructed to be performed according to the new parameters, and the temperature control process of forming a closed loop is repeated; The correction process is stopped until the real-time organic electroluminescent device temperature monitoring data meets the user's temperature control requirements, that is, the temperature deviation is within an acceptable range.

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