An adaptive control method for organic electroluminescent device

Abstract

The invention provides an adaptive control method for an organic electroluminescent device, belonging to the field of adaptive control technology. The method comprises: capturing environmental information of an environment in which the organic electroluminescent device is located in real time, obtaining an environmental information set, and obtaining a device information set of the organic electroluminescent device, fusing the environmental information set with the device information set, and obtaining a comprehensive information set; inputting the comprehensive information set into a fuzzy control algorithm, obtaining a device adjustment plan, and adjusting the device operating parameters of the organic electroluminescent device; subsequently performing expected verification, obtaining a detailed fine-tuning plan according to the verification result, and performing detailed fine-tuning on the device operating parameters; analyzing the change trend of device performance based on the detailed fine-tuning result, predicting maintenance requirements according to the change trend, and updating the device adjustment plan according to the maintenance requirements, thereby realizing intelligent and flexible parameter adjustment and maintenance, and optimizing device parameters to ensure that the best performance is maintained under various environmental conditions.

Description

Technical Field

[0001] The invention relates to the technical field of adaptive control, and in particular to an adaptive control method for an organic electroluminescent device. Background Art

[0002] Organic electroluminescent devices have been widely used in display technology and lighting due to their excellent color performance and low power consumption. However, environmental factors (such as temperature, humidity, light, etc.) have a significant impact on their performance. Therefore, their operating parameters need to be monitored and adjusted in real time to maintain optimal performance. Traditional methods do not respond to environmental changes in a timely manner, which may lead to performance degradation, and often rely on fixed adjustment strategies, lacking flexibility and adaptability.

[0003] Therefore, the present invention provides an adaptive control method for an organic electroluminescent device. Summary of the invention

[0004] The present invention provides an adaptive control method for an organic electroluminescent device. The method generates an environmental information set and a device information set by real-time monitoring of environmental information and device status, performs data fusion to form a comprehensive information set, generates a device adjustment plan by using a fuzzy control algorithm, dynamically adjusts the working parameters of the organic electroluminescent device, optimizes device performance by expected verification and detail fine-tuning, and predicts maintenance requirements based on performance change trends, thereby achieving intelligent and flexible parameter adjustment and maintenance. At the same time, the device parameters are optimized to ensure optimal performance under various environmental conditions.

[0005] The present invention provides an adaptive control method for an organic electroluminescent device, comprising:

[0006] Step 1: Real-time capture of environmental information of the environment in which the organic electroluminescent device is located to obtain an environmental information set, and at the same time, obtain a device information set of the organic electroluminescent device, perform data fusion on the environmental information set and the device information set to obtain a comprehensive information set;

[0007] Step 2: inputting the comprehensive information set into the fuzzy control algorithm to obtain a device adjustment plan, and adjusting the device operating parameters of the organic electroluminescent device according to the device adjustment plan;

[0008] Step 3: perform expected verification on the adjusted device operating parameters, derive a detailed fine-tuning plan based on the verification results, and perform detailed fine-tuning on the device operating parameters according to the detailed fine-tuning plan;

[0009] Step 4: Analyze the change trend of the device performance of the organic electroluminescent device based on the detail fine-tuning result, predict the maintenance demand according to the change trend, and update the device adjustment plan according to the maintenance demand.

[0010] The present invention provides an adaptive control method for an organic electroluminescent device, which captures the environmental information of the environment in which the organic electroluminescent device is located in real time, obtains an environmental information set, and simultaneously obtains a device information set of the organic electroluminescent device, including:

[0011] Using multiple sensors to capture the environmental information of the environment in which the organic electroluminescent device is located in real time, extracting the useful environmental features corresponding to the organic electroluminescent device from the environmental information according to the device-environmental feature table, and collecting the corresponding environmental information based on the useful environmental features to obtain an environmental information set;

[0012] The device information of the organic electroluminescent device is obtained, the useful device features are extracted from the device information of the organic electroluminescent device according to the device-operation feature table, and the device information set is obtained based on the device information corresponding to the useful device features.

[0013] The present invention provides an adaptive control method for an organic electroluminescent device, which performs data fusion on an environmental information set and a device information set to obtain a comprehensive information set, including:

[0014] Use event stamps to align data of the environment information set and the device information set, and fuse the aligned environment information set and the device information set according to the event window to obtain a comprehensive information set;

[0015] ,in, R represents a comprehensive set of information; Represents the weighted average of the environmental information data after time decay; Indicates the environment information set i Dynamic weight of environmental information data; Indicates i Time decay factor of environmental information data; Indicates the first i Class environmental information data; n Indicates the total number of categories of environmental information data in the environmental information set; Represents the weighted average value of device information data after time decay; Indicates j Dynamic weight of individual device information data; Indicates j The time decay factor of the device information data; Indicates the first j Device information data; m Indicates the total number of device information data in the device information set; A function representing the relationship between environmental characteristics and device characteristics; Indicates the standard deviation of environmental information data; Indicates the first i Volatility impact function of environmental information data; Indicates the first j The volatility impact function of individual device information data; represents the standard deviation of device information; t represents the time point when the current event occurs; Indicates i An event window corresponding to the class environment information data; No. j An event window for device information data.

[0016] The present invention provides an adaptive control method for an organic electroluminescent device, which inputs a comprehensive information set into a fuzzy control algorithm to obtain a device adjustment scheme, and adjusts the device operating parameters of the organic electroluminescent device according to the device adjustment scheme, including:

[0017] Clarify the specific requirements for organic electroluminescent devices, obtain market trends and establish evaluation standards based on the specific requirements, evaluate each specific requirement according to the evaluation standards, and obtain the requirement evaluation results;

[0018] Input the comprehensive information set into the fuzzy control algorithm to obtain the fuzzy evaluation results, and convert the fuzzy evaluation results into specific indicators according to the required evaluation results;

[0019] The specific indicators are prioritized, specific indicators with high priorities are used as device adjustment points, characteristics analysis is performed on the device adjustment points, corresponding technical paths are formulated according to the characteristics analysis results of each device adjustment point, a device adjustment plan is formulated by integrating all technical paths, and the device adjustment plan is executed on the organic electroluminescent device to adjust the device operating parameters of the organic electroluminescent device.

[0020] The present invention provides an adaptive control method for an organic electroluminescent device, which performs expected verification on adjusted device operating parameters, obtains a detail fine-tuning scheme according to the verification result, and performs detail fine-tuning on the device operating parameters according to the detail fine-tuning scheme, including:

[0021] According to the application requirements of the organic electroluminescent device, determine the indicators to be verified, and match the expected value for each of the indicators to be verified from the indicator-standard table;

[0022] According to the expected value, the adjusted device operating parameters are expected to be verified to obtain verification results, and corresponding detail fine-tuning targets are formulated for each device operating parameter according to the verification results. A detail fine-tuning plan is determined by combining all detail fine-tuning targets to perform detail fine-tuning on the device operating parameters.

[0023] The present invention provides an adaptive control method for an organic electroluminescent device, which formulates a corresponding detail fine-tuning target for each device operating parameter according to a verification result, and determines a detail fine-tuning scheme by integrating all detail fine-tuning targets, including:

[0024] Evaluate the impact of each verification result on the overall performance of the organic electroluminescent device, and determine the fine-tuning sequence based on the impact evaluation results;

[0025] Classify the verification results. For device operating parameters whose verification results are higher than expected values, set reduction targets, and determine the adjustment range of the reduction targets based on the historical parameter adjustment table. For device operating parameters whose verification results are lower than expected values, set increase targets, and determine the adjustment range of the increase targets from the historical parameter adjustment table, thereby determining the detailed fine-tuning targets for each device operating parameter.

[0026] Determine the detail fine-tuning plan based on the fine-tuning order and detail fine-tuning goals.

[0027] The present invention provides an adaptive control method for an organic electroluminescent device, which analyzes the change trend of the device performance of the organic electroluminescent device based on the result of detailed fine-tuning, predicts the maintenance demand according to the change trend, and updates the device adjustment plan according to the maintenance demand, including:

[0028] Screening performance data related to device performance of the organic electroluminescent device from the detail fine-tuning results, calculating the coefficient of variation of each time period based on the performance data, analyzing the change of the coefficient of variation, and identifying the change trend of the device performance of the organic electroluminescent device;

[0029] Collecting historical maintenance conditions of the organic electroluminescent device, analyzing a maintenance relationship between the historical maintenance conditions and the change trend, and determining maintenance requirements from a change-maintenance table according to the maintenance relationship combined with the change trend;

[0030] According to the maintenance requirement, corresponding technical operations are retrieved from a maintenance technology library, and the device adjustment plan is updated according to the technical operations.

[0031] The present invention provides an adaptive control method for an organic electroluminescent device, which collects historical maintenance conditions of the organic electroluminescent device and analyzes the maintenance relationship between the historical maintenance conditions and the change trend, including:

[0032] Collecting historical maintenance conditions of organic electroluminescent devices, matching the historical maintenance conditions with device performance one by one, marking the corresponding device performance, and segmenting the change trend of the device performance according to the marking results, and determining the segmentation trend corresponding to each marking result;

[0033] The potential impact of each maintenance record on the next maintenance is determined according to the segmentation trend, and the maintenance relationship between the historical maintenance situation and the change trend is determined by combining all segmentation trends and the potential impact of the maintenance record on the next maintenance.

[0034] Compared with the prior art, the beneficial effects of the present application are as follows: by real-time monitoring of environmental information and device status, generating environmental information sets and device information sets, and performing data fusion to form a comprehensive information set, using fuzzy control algorithms to generate device adjustment plans, dynamically adjusting the working parameters of organic electroluminescent devices, optimizing device performance through expected verification and detail fine-tuning, and predicting maintenance needs based on performance change trends, thereby achieving intelligent and flexible parameter adjustment and maintenance. At the same time, device parameters are optimized to ensure optimal performance under various environmental conditions.

[0035] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0036] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0038] Figure 1 It is a flow chart of an adaptive control method for an organic electroluminescent device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0040] Embodiment 1:

[0041] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, such as Figure 1 As shown, including:

[0042] Step 1: Real-time capture of environmental information of the environment in which the organic electroluminescent device is located to obtain an environmental information set, and at the same time, obtain a device information set of the organic electroluminescent device, perform data fusion on the environmental information set and the device information set to obtain a comprehensive information set;

[0043] Step 2: inputting the comprehensive information set into the fuzzy control algorithm to obtain a device adjustment plan, and adjusting the device operating parameters of the organic electroluminescent device according to the device adjustment plan;

[0044] Step 3: perform expected verification on the adjusted device operating parameters, derive a detailed fine-tuning plan based on the verification results, and perform detailed fine-tuning on the device operating parameters according to the detailed fine-tuning plan;

[0045] Step 4: Analyze the change trend of the device performance of the organic electroluminescent device based on the detail fine-tuning result, predict the maintenance demand according to the change trend, and update the device adjustment plan according to the maintenance demand.

[0046] In this embodiment, environmental information refers to data about environmental conditions collected by sensors, including temperature, humidity, light intensity, air pressure and other information; the environmental information set is a set of processed and collected environmental data, containing all relevant useful environmental features to form a comprehensive description of the environmental conditions.

[0047] In this embodiment, device information refers to the working status data of the organic electroluminescent device, including parameters such as current, voltage, brightness, color, etc.; the device information set is a set of device status data that has been processed and collected, including all relevant useful device features to form a comprehensive device status description.

[0048] In this embodiment, the device adjustment scheme is a specific adjustment plan based on priority sorting and characteristic analysis, for example, energy efficiency optimization, adjusting the driving voltage and current to improve energy efficiency, and luminous intensity regulation, automatically adjusting the luminous intensity according to the ambient light intensity.

[0049] In this embodiment, the process of adjusting the device operating parameters may include using sensors to monitor environmental changes in real time, automatically or manually adjusting parameters such as current and voltage based on the monitoring results, evaluating the adjusted performance, and ensuring that the expected indicators are achieved. The device operating parameters include operating mode, environmental adaptability settings, aging compensation, temperature, brightness, color temperature, etc.

[0050] In this embodiment, by clarifying the specific requirements of the organic electroluminescent device, obtaining market trends and establishing evaluation standards, evaluating each requirement, obtaining evaluation results, inputting the comprehensive information set into the fuzzy control algorithm, generating fuzzy evaluation results, and converting them into specific indicators. Prioritize the indicators, select the indicators with high priority as adjustment points, perform characteristic analysis, formulate corresponding technical paths, and finally implement the device adjustment plan.

[0051] In this embodiment, the expected verification process is to verify the adjusted working parameters by determining the indicators to be verified of the organic electroluminescent device and matching the expected values ​​from the indicator-standard table.

[0052] In this embodiment, the detailed fine-tuning plan is formulated by evaluating the impact of the verification results, determining the fine-tuning order, classifying the verification results, setting reduction targets for working parameters that are higher than expected values, setting increase targets for working parameters that are lower than expected values, and determining the adjustment range based on the historical parameter adjustment table, combining the fine-tuning order with the detailed fine-tuning targets.

[0053] In this embodiment, the change trend refers to the direction in which the performance data changes over time. For example, if the brightness gradually decreases and the coefficient of variation increases, it may indicate that the performance of the device is gradually deteriorating.

[0054] In this embodiment, the maintenance requirement is a maintenance activity that needs to be performed based on the change trend and the maintenance relationship. For example, if the coefficient of variation increases and the brightness decreases, cleaning or parameter adjustment may be required.

[0055] The working principle and beneficial effects of the above technical solution are: by real-time monitoring of environmental information and device status, generating environmental information sets and device information sets, and performing data fusion to form a comprehensive information set, using fuzzy control algorithms to generate device adjustment plans, dynamically adjusting the working parameters of organic electroluminescent devices, optimizing device performance through expected verification and detail fine-tuning, and predicting maintenance needs based on performance change trends, thereby achieving intelligent and flexible parameter adjustment and maintenance. At the same time, optimizing device parameters to ensure optimal performance under various environmental conditions.

[0056] Embodiment 2:

[0057] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, which captures the environmental information of the environment in which the organic electroluminescent device is located in real time, obtains an environmental information set, and simultaneously obtains a device information set of the organic electroluminescent device, including:

[0058] Using multiple sensors to capture the environmental information of the environment in which the organic electroluminescent device is located in real time, extracting the useful environmental features corresponding to the organic electroluminescent device from the environmental information according to the device-environmental feature table, and collecting the corresponding environmental information based on the useful environmental features to obtain an environmental information set;

[0059] The device information of the organic electroluminescent device is obtained, the useful device features are extracted from the device information of the organic electroluminescent device according to the device-operation feature table, and the device information set is obtained based on the device information corresponding to the useful device features.

[0060] In this embodiment, the various sensors include temperature sensors, humidity sensors, light sensors, air pressure sensors, vibration sensors, and the like.

[0061] In this embodiment, the device-environment characteristic table is a mapping table that lists the characteristics of the impact of different environmental conditions (such as temperature and humidity) on the performance of organic electroluminescent devices, for example, the impact of temperature on brightness and the impact of humidity on color performance; the environmental useful characteristics are characteristics related to device performance extracted from environmental information, for example, the optimal operating temperature within the temperature range and the impact of humidity on brightness and color.

[0062] In this embodiment, the device-operation characteristic table is a mapping table that describes the impact characteristics of different operating states (such as current and voltage) on device performance, helping to analyze the performance of the device under different operating conditions, for example, the impact of current changes on brightness and the impact of voltage changes on color performance; the device useful features are performance-related features extracted from the device information, for example, the optimal operating current, brightness and color change characteristics.

[0063] The working principle and beneficial effects of the above technical solution are: using multiple sensors to monitor environmental information (such as temperature, humidity and light) in real time, and using the device-environmental feature table to extract useful environmental features related to the performance of the organic electroluminescent device to form an environmental information set. At the same time, the operating status information of the device is obtained, and the useful device features are extracted in combination with the device-operation feature table, and summarized into a device information set, thereby realizing adaptive control of the organic electroluminescent device, ensuring that it always maintains the best performance under different environmental conditions, and extending the service life of the organic electroluminescent device.

[0064] Embodiment 3:

[0065] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, which performs data fusion on an environment information set and a device information set to obtain a comprehensive information set, including:

[0066] Use event stamps to align data of the environment information set and the device information set, and fuse the aligned environment information set and the device information set according to the event window to obtain a comprehensive information set;

[0067] ,in, R represents a comprehensive set of information; Represents the weighted average of the environmental information data after time decay; Indicates the environment information set i Dynamic weight of environmental information data; Indicates i Time decay factor of environmental information data; Indicates the first i Class environmental information data; n Indicates the total number of categories of environmental information data in the environmental information set; Represents the weighted average value of device information data after time decay; Indicates j Dynamic weight of individual device information data; Indicates j The time decay factor of the device information data; Indicates the first j Device information data; m Indicates the total number of device information data in the device information set; A function representing the relationship between environmental characteristics and device characteristics; Indicates the standard deviation of environmental information data; Indicates the first i Volatility impact function of environmental information data; Indicates the first j The volatility impact function of individual device information data; represents the standard deviation of device information; t represents the time point when the current event occurs; Indicates i An event window corresponding to the class environment information data; No. j An event window for device information data.

[0068] In this embodiment, the event stamp refers to a data identifier recorded at a specific time point, which is used to mark the specific data collection moment of the environment information set and the device information set, ensuring that the environment conditions and device states can be accurately matched during the data alignment process.

[0069] In this embodiment, the event window refers to a set of data within a specific time range, which is used to analyze and process environmental information and device information within the time period, helping to determine which data is relevant at the current moment, thereby performing effective data fusion. For example, based on the real-time ambient light intensity (such as using sensors to monitor light changes), the current light data is obtained through event stamps, and the brightness of the device is adjusted within the event window to maintain the best display effect.

[0070] The working principle and beneficial effects of the above technical solution are: aligning the environment information set and the device information set through event stamps, performing data fusion according to the event window, and thus generating a comprehensive information set in real time, and comprehensively considering the influence of the environment and device data through dynamic weights and time attenuation factors, optimizing the working parameters of the device, and improving its performance and adaptability.

[0071] Embodiment 4:

[0072] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, inputting a comprehensive information set into a fuzzy control algorithm to obtain a device adjustment scheme, and adjusting the device operating parameters of the organic electroluminescent device according to the device adjustment scheme, including:

[0073] Clarify the specific requirements for organic electroluminescent devices, obtain market trends and establish evaluation standards based on the specific requirements, evaluate each specific requirement according to the evaluation standards, and obtain the requirement evaluation results;

[0074] Input the comprehensive information set into the fuzzy control algorithm to obtain the fuzzy evaluation results, and convert the fuzzy evaluation results into specific indicators according to the required evaluation results;

[0075] The specific indicators are prioritized, specific indicators with high priorities are used as device adjustment points, characteristics analysis is performed on the device adjustment points, corresponding technical paths are formulated according to the characteristics analysis results of each device adjustment point, a device adjustment plan is formulated by integrating all technical paths, and the device adjustment plan is executed on the organic electroluminescent device to adjust the device operating parameters of the organic electroluminescent device.

[0076] In this embodiment, specific requirements include high brightness, maintaining sufficient luminous intensity under different ambient light conditions; color accuracy, ensuring the accuracy and consistency of color reproduction; energy efficiency, maintaining low energy consumption while providing the required brightness and color; long life, under normal use conditions, the device should have a long service life; stability, the performance should remain stable under different temperature and humidity conditions.

[0077] In this embodiment, the evaluation standard is used to measure and judge whether a certain performance indicator meets the expected requirements, including industry standards, international standards or standards for specific application fields. For example, the luminous intensity should comply with the International Electrotechnical Commission (IEC) standard, and the color accuracy should comply with the sRGB color gamut standard.

[0078] In this embodiment, current market trends include environmental protection requirements, with higher requirements for energy efficiency and environmental friendliness of materials; intelligent control, with more and more organic electroluminescent device products integrating intelligent control functions to achieve adaptive adjustment; high-resolution and large-screen requirements, with the market demand for high-resolution and large-screen displays continuing to grow; and wearable devices, with the application of organic electroluminescent devices in wearable devices increasing.

[0079] In this embodiment, the evaluation result is required to be the result obtained after actual measurement of each indicator to be verified and compared with the expected value, including the evaluation result corresponding to the luminous intensity being required to meet the evaluation standard.

[0080] In this embodiment, the fuzzy control algorithm is a control method based on fuzzy logic, which can handle uncertainty and ambiguity, for example, a fuzzy controller generates outputs (such as current adjustment) based on inputs (such as temperature, humidity, brightness) to optimize the performance of organic electroluminescent devices.

[0081] In this embodiment, the fuzzy evaluation result is a result obtained after processing based on the fuzzy control algorithm, for example, a comprehensive evaluation score, based on the fuzzy scoring of different indicators, the comprehensive score is 85 points (out of 100 points).

[0082] In this embodiment, the specific indicators are quantifiable parameters set for the performance requirements of the organic electroluminescent device. For example, the specific indicators include luminous intensity, color accuracy, energy efficiency, service life, and stability.

[0083] In this embodiment, the priority ranking can be based on the comprehensive score and market demand, for example, energy efficiency (priority 1), luminous intensity (priority 2).

[0084] In this embodiment, the process of characteristic analysis includes collecting performance data of the device under different conditions, analyzing the performance of various indicators, such as luminous intensity and energy efficiency, and determining the main factors affecting the performance, such as temperature and humidity.

[0085] In this embodiment, the technical path is the specific steps to implement the adjustment plan, such as hardware upgrade, replacement of more efficient drive circuits, software optimization, and development of new control algorithms to monitor and adjust parameters in real time.

[0086] The working principle and beneficial effects of the above technical solution are: by clarifying the specific requirements of organic electroluminescent devices, obtaining market trends and establishing evaluation standards, evaluating each requirement, obtaining evaluation results, inputting the comprehensive information set into the fuzzy control algorithm, generating fuzzy evaluation results, and converting them into specific indicators. Prioritize the indicators, select the indicators with high priority as adjustment points, conduct characteristic analysis, formulate corresponding technical paths, and finally implement the device adjustment plan, which enhances adaptability and reduces the risk of performance degradation caused by environmental factors.

[0087] Embodiment 5:

[0088] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, which performs expected verification on the adjusted device operating parameters, obtains a detail fine-tuning scheme according to the verification result, and performs detail fine-tuning on the device operating parameters according to the detail fine-tuning scheme, including:

[0089] According to the application requirements of the organic electroluminescent device, determine the indicators to be verified, and match the expected value for each of the indicators to be verified from the indicator-standard table;

[0090] According to the expected value, the adjusted device operating parameters are expected to be verified to obtain verification results, and corresponding detail fine-tuning targets are formulated for each device operating parameter according to the verification results. A detail fine-tuning plan is determined by combining all detail fine-tuning targets to perform detail fine-tuning on the device operating parameters.

[0091] In this embodiment, the application requirements mainly include providing high-quality display effects, having excellent color performance and high brightness, achieving low power consumption to extend the battery life of the device, and maintaining stable performance under changing environmental conditions (such as temperature, humidity, and light).

[0092] In this embodiment, the difference between application requirements and specific requirements is that application requirements are intended to clarify user expectations and application scenarios, guide product design and development direction, and may change with market changes, technological advances or user feedback, and have a certain degree of flexibility; specific requirements are intended to provide specific standards and technical details for implementation to ensure that the final product meets application requirements, and are usually determined at the beginning of the project, change less frequently, and rely more on technical specifications and standards.

[0093] In this embodiment, the indicators to be verified may include luminous intensity, which indicates the brightness of the screen, color saturation, which indicates the vividness of the color, color temperature, which indicates the hue of the light source, usually expressed in Kelvin (K), energy efficiency, which is the light output per unit power consumption, and service life, which is the continuous use time of the device under normal working conditions.

[0094] In this embodiment, the indicator-standard table includes the standard value or range of each indicator to be verified; the expected value is the ideal or target value set for each indicator to be verified, for example, luminous intensity, 200 cd / m², color saturation, 90%, color temperature, 4000K, etc.

[0095] In this embodiment, the detail fine-tuning targets include lowering the target and raising the target. For example, if the actual brightness value in the verification result is 10% higher than the expected value, the new target can be set to 90% of the original target. If the actual brightness value in the verification result is 10% lower than the expected value, the new target can be set to 110% of the original target.

[0096] In this embodiment, the verification results are evaluated for their impact, the fine-tuning sequence is determined, the verification results are classified, lowering targets are set for working parameters that are higher than expected values, and raising targets are set for working parameters that are lower than expected values. The adjustment range is determined based on the historical parameter adjustment table, and a detailed fine-tuning plan is formulated in combination with the fine-tuning sequence and detailed fine-tuning targets.

[0097] The working principle and beneficial effect of the above technical solution are: by determining the indicators to be verified of the organic electroluminescent device and matching the expected values ​​from the indicator-standard table, the adjusted working parameters are verified. According to the verification results, detailed fine-tuning targets are set for each parameter, and a detailed fine-tuning plan is formed by integrating all targets. Finally, the device working parameters are finely adjusted to achieve the best performance, reduce performance fluctuations caused by environmental factors, and enhance the reliability and service life of the equipment.

[0098] Embodiment 6:

[0099] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, which formulates a corresponding detail fine-tuning target for each device operating parameter according to the verification result, and determines a detail fine-tuning scheme by integrating all detail fine-tuning targets, including:

[0100] Evaluate the impact of each verification result on the overall performance of the organic electroluminescent device, and determine the fine-tuning sequence based on the impact evaluation results;

[0101] Classify the verification results. For device operating parameters whose verification results are higher than expected values, set reduction targets, and determine the adjustment range of the reduction targets based on the historical parameter adjustment table. For device operating parameters whose verification results are lower than expected values, set increase targets, and determine the adjustment range of the increase targets from the historical parameter adjustment table, thereby determining the detailed fine-tuning targets for each device operating parameter.

[0102] Determine the detail fine-tuning plan based on the fine-tuning order and detail fine-tuning goals.

[0103] In this embodiment, the process of impact assessment is to collect verification results of various devices, including actual values ​​and expected values ​​of working parameters, calculate the difference between the actual value and the expected value of each working parameter, and evaluate according to the size of the difference and the degree of impact on the overall performance. Usually, a combination of quantitative and qualitative methods is used. According to the evaluation results, an impact score is assigned to each working parameter, and the parameters are sorted from high to low to determine the fine-tuning order. For example, the actual value of a current parameter is 100mA, and the expected value is 90mA. The difference is 10mA, and the impact is high.

[0104] In this embodiment, the result of the impact assessment is a priority list reflecting the impact of each operating parameter on the device performance, and parameters with high impact need to be adjusted first; the fine-tuning order is sorted according to the impact assessment result, and the operating parameters with the greatest impact on performance are adjusted first, for example, current parameter>color temperature parameter>brightness parameter.

[0105] In this embodiment, for working parameters whose verification results are higher than expected values, the target is lowered by setting a new target value that is lower than the current actual value but higher than the expected value to optimize performance; the target adjustment range is determined based on the historical parameter adjustment table, and is usually a specific range, such as "reduce by 5% to 10%", to ensure the rationality of the adjustment; for working parameters whose verification results are lower than expected values, the target is increased by setting a new target value that is higher than the current actual value but lower than the expected value to improve performance; the target adjustment range is also determined based on the historical parameter adjustment table, and is usually a specific range, such as "increase by 3% to 7%".

[0106] In this embodiment, the historical parameter adjustment table is a database that records past adjustments and their effects, including the historical values ​​of each working parameter, the adjustment range and its impact on performance, such as current adjustment, date, September 15, 2024, parameter, current, before adjustment, 100mA, after adjustment, 95mA, performance change, brightness increased from 80cd / m² to 85cd / m².

[0107] The working principle and beneficial effects of the above technical solution are as follows: by evaluating the impact degree of the verification results, determining the fine-tuning sequence, classifying the verification results, setting reduction targets for working parameters that are higher than expected values, setting increase targets for working parameters that are lower than expected values, and determining the adjustment range based on the historical parameter adjustment table, combining the fine-tuning sequence with the detailed fine-tuning targets, and formulating a detailed fine-tuning plan, which improves the stability and reliability of its performance, reduces performance fluctuations caused by environmental factors, enhances the flexibility and adaptability of the equipment, and thus extends its service life.

[0108] Embodiment 7:

[0109] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, which analyzes the change trend of the device performance of the organic electroluminescent device based on the result of detail fine-tuning, predicts the maintenance demand according to the change trend, and updates the device adjustment plan according to the maintenance demand, including:

[0110] Screening performance data related to device performance of the organic electroluminescent device from the detail fine-tuning results, calculating the coefficient of variation of each time period based on the performance data, analyzing the change of the coefficient of variation, and identifying the change trend of the device performance of the organic electroluminescent device;

[0111] Collecting historical maintenance conditions of the organic electroluminescent device, analyzing a maintenance relationship between the historical maintenance conditions and the change trend, and determining maintenance requirements from a change-maintenance table according to the maintenance relationship combined with the change trend;

[0112] According to the maintenance requirement, corresponding technical operations are retrieved from a maintenance technology library, and the device adjustment plan is updated according to the technical operations.

[0113] In this embodiment, the performance data includes brightness, color temperature, luminous efficiency, current and service life.

[0114] In this embodiment, the difference between performance data and indicators to be verified is that performance data is dynamic, changes with time and environment, reflects real-time status, and is used to describe and monitor the actual performance of the device to help technicians understand the operating status of the device. The indicators to be verified are usually static, do not change with time after being set, and are used for specific evaluation and comparison to evaluate and verify whether the device meets the design requirements or performance standards, and are usually used for quality control and performance testing.

[0115] In this example, the coefficient of variation is ,in CV represents the coefficient of variation; Indicates the standard deviation of performance data; Represents the mean of the performance data. For example, if the brightness data collected in a week is [78, 80, 82, 79, 81], then the mean =80, standard deviation ≈1.58, so CV ≈1.975%.

[0116] In this embodiment, the change refers to the numerical fluctuation of the coefficient of variation in different time periods. For example, if the coefficient of variation increases significantly in a certain period of time, it may indicate that the instability of the device performance increases.

[0117] In this embodiment, the historical maintenance status refers to the record of all maintenance activities performed on the device in the past, including information such as maintenance date, maintenance content, and maintenance effect.

[0118] In this embodiment, the maintenance relationship refers to the association between the historical maintenance situation and the performance change trend of the device. For example, a certain maintenance operation may be frequently recorded when the performance is degraded, indicating that it is associated with the performance change.

[0119] In this embodiment, the change-maintenance table includes the following contents: change type, such as brightness drop, color temperature shift, etc., corresponding maintenance operations, such as cleaning, component replacement, parameter adjustment, etc., maintenance effect, and whether the performance is improved after maintenance.

[0120] In this embodiment, the maintenance technology library is a database containing various maintenance techniques and operation steps for technicians to consult and refer to in order to perform effective maintenance; technical operations refer to specific maintenance or adjustment steps, such as cleaning the light source and removing surface dirt.

[0121] The working principle and beneficial effects of the above technical solution are: by real-time monitoring of the performance data of organic electroluminescent devices, calculating the coefficient of variation to identify performance change trends, combining historical maintenance records, analyzing maintenance needs, and retrieving corresponding operations in the maintenance technology library, updating and adjusting plans to ensure the best performance of the equipment under different environmental conditions, with higher flexibility and adaptability, improving the accuracy and efficiency of maintenance, and saving resources.

[0122] Embodiment 8:

[0123] The embodiment of the present invention provides an adaptive control method for an organic electroluminescent device, which collects historical maintenance conditions of the organic electroluminescent device and analyzes the maintenance relationship between the historical maintenance conditions and the change trend, including:

[0124] Collecting historical maintenance conditions of organic electroluminescent devices, matching the historical maintenance conditions with device performance one by one, marking the corresponding device performance, and segmenting the change trend of the device performance according to the marking results, and determining the segmentation trend corresponding to each marking result;

[0125] The potential impact of each maintenance record on the next maintenance is determined according to the segmentation trend, and the maintenance relationship between the historical maintenance situation and the change trend is determined by combining all segmentation trends and the potential impact of the maintenance record on the next maintenance.

[0126] In this embodiment, segmentation trend means that when analyzing device performance data, performance data is divided into different intervals or stages according to specific marking results (such as maintenance records, fault events, etc.), and these intervals or stages reflect the performance changes before and after the specific maintenance event.

[0127] In this embodiment, the method for trend segmentation is to mark the performance data according to the maintenance records. For example, the time point of each maintenance can be marked in the performance data, and the performance data can be plotted as a time series graph to observe the changing trend of the data. According to the marked maintenance events, the data can be segmented into multiple intervals, the performance changes in each interval can be analyzed, and the statistical indicators such as the mean and standard deviation of each interval can be calculated to identify the changing trend of the performance and then perform segmentation.

[0128] In this embodiment, the potential impact refers to the possible impact of each maintenance record on subsequent device performance. For example, a maintenance may result in performance improvement, reduction, or stability.

[0129] In this embodiment, the maintenance relationship refers to the correlation between historical maintenance conditions and the performance change trend of the device. By analyzing the correspondence between maintenance records and performance data, the impact pattern can be determined to identify the impact pattern of different types of maintenance on performance. For example, a certain maintenance measure is more effective under specific conditions; optimization strategy, based on the maintenance relationship, an optimized maintenance strategy is formulated to improve device performance and extend service life; prediction capability, a model between maintenance records and performance changes is established to predict the potential impact of future maintenance on performance.

[0130] The working principle and beneficial effects of the above technical solution are: by collecting historical maintenance records of organic electroluminescent devices and corresponding them one by one with device performance data, marking the impact of each maintenance on performance, analyzing the marking results, segmenting performance change trends, and identifying the potential impact of each maintenance on subsequent performance, thereby comprehensively determining the relationship between maintenance and performance changes, achieving targeted maintenance, and improving the stability and service life of the device.

[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An adaptive control method for an organic electroluminescent device, characterized in that: include: Step 1: Real-time capture of environmental information of the environment in which the organic electroluminescent device is located to obtain an environmental information set, and at the same time, obtain a device information set of the organic electroluminescent device, perform data fusion on the environmental information set and the device information set to obtain a comprehensive information set; Step 2: inputting the comprehensive information set into the fuzzy control algorithm to obtain a device adjustment plan, and adjusting the device operating parameters of the organic electroluminescent device according to the device adjustment plan; Step 3: perform expected verification on the adjusted device operating parameters, derive a detailed fine-tuning plan based on the verification results, and perform detailed fine-tuning on the device operating parameters based on the detailed fine-tuning plan; Step 4: analyzing the change trend of the device performance of the organic electroluminescent device based on the detail fine-tuning result, predicting the maintenance demand according to the change trend, and updating the device adjustment plan according to the maintenance demand; The environmental information of the environment in which the organic electroluminescent device is located is captured in real time to obtain an environmental information set. At the same time, the device information set of the organic electroluminescent device is obtained, including: Using multiple sensors to capture the environmental information of the environment in which the organic electroluminescent device is located in real time, extracting the useful environmental features corresponding to the organic electroluminescent device from the environmental information according to the device-environmental feature table, and collecting the corresponding environmental information based on the useful environmental features to obtain an environmental information set; Acquire device information of the organic electroluminescent device, extract useful device features from the device information of the organic electroluminescent device according to the device-operation feature table, and obtain a device information set based on the device information corresponding to the useful device features; Among them, the environmental information set and the device information set are fused to obtain a comprehensive information set, including: Use event stamps to align data of the environment information set and the device information set, and fuse the aligned environment information set and the device information set according to the event window to obtain a comprehensive information set; ,in, R represents a comprehensive set of information; Represents the weighted average of the environmental information data after time decay; Indicates the environment information set i Dynamic weight of environmental information data; Indicates i Time decay factor of environmental information data; Indicates the first i Class environmental information data; n Indicates the total number of categories of environmental information data in the environmental information set; Represents the weighted average value of device information data after time decay; Indicates j Dynamic weight of individual device information data; Indicates j The time decay factor of the device information data; Indicates the first j Device information data; m Indicates the total number of device information data in the device information set; A function representing the relationship between environmental characteristics and device characteristics; Indicates the standard deviation of environmental information data; Indicates the first i Volatility impact function of environmental information data; Indicates the first j The impact function of the volatility of device information data; represents the standard deviation of device information; t represents the time point when the current event occurs; Indicates i An event window corresponding to the class environment information data; No. j An event window for device information data.

2. The adaptive control method for an organic electroluminescent device according to claim 1, characterized in that: Inputting the comprehensive information set into the fuzzy control algorithm to obtain a device adjustment plan, and adjusting the device operating parameters of the organic electroluminescent device according to the device adjustment plan, including: Clarify the specific requirements for organic electroluminescent devices, obtain market trends and establish evaluation standards based on the specific requirements, evaluate each specific requirement according to the evaluation standards, and obtain the requirement evaluation results; Input the comprehensive information set into the fuzzy control algorithm to obtain the fuzzy evaluation results, and convert the fuzzy evaluation results into specific indicators according to the required evaluation results; The specific indicators are prioritized, specific indicators with high priorities are used as device adjustment points, characteristics analysis is performed on the device adjustment points, corresponding technical paths are formulated according to the characteristics analysis results of each device adjustment point, a device adjustment plan is formulated by integrating all technical paths, and the device adjustment plan is executed on the organic electroluminescent device to adjust the device operating parameters of the organic electroluminescent device.

3. The adaptive control method for an organic electroluminescent device according to claim 1, characterized in that: Performing expected verification on the adjusted device operating parameters, obtaining a detailed fine-tuning plan based on the verification results, and fine-tuning the device operating parameters in detail according to the detailed fine-tuning plan, including: According to the application requirements of the organic electroluminescent device, determine the indicators to be verified, and match the expected value for each of the indicators to be verified from the indicator-standard table; According to the expected value, the adjusted device operating parameters are expected to be verified to obtain verification results, and corresponding detail fine-tuning targets are formulated for each device operating parameter according to the verification results. A detail fine-tuning plan is determined by combining all detail fine-tuning targets to perform detail fine-tuning on the device operating parameters.

4. The adaptive control method for an organic electroluminescent device according to claim 3, characterized in that: According to the verification results, the corresponding detailed fine-tuning targets are set for each device operating parameter. The detailed fine-tuning plan is determined by combining all the detailed fine-tuning targets, including: Evaluate the impact of each verification result on the overall performance of the organic electroluminescent device, and determine the fine-tuning sequence based on the impact evaluation results; Classify the verification results. For device operating parameters whose verification results are higher than expected values, set reduction targets, and determine the adjustment range of the reduction targets based on the historical parameter adjustment table. For device operating parameters whose verification results are lower than expected values, set increase targets, and determine the adjustment range of the increase targets from the historical parameter adjustment table, thereby determining the detailed fine-tuning targets for each device operating parameter. Determine the detail fine-tuning plan based on the fine-tuning order and detail fine-tuning goals.

5. The adaptive control method for an organic electroluminescent device according to claim 1, characterized in that: Analyze the change trend of the device performance of the organic electroluminescent device based on the detail fine-tuning result, predict the maintenance demand according to the change trend, and update the device adjustment plan according to the maintenance demand, including: Screening performance data related to device performance of the organic electroluminescent device from the detail fine-tuning results, calculating the coefficient of variation of each time period based on the performance data, analyzing the change of the coefficient of variation, and identifying the change trend of the device performance of the organic electroluminescent device; Collecting historical maintenance conditions of the organic electroluminescent device, analyzing a maintenance relationship between the historical maintenance conditions and the change trend, and determining maintenance requirements from a change-maintenance table according to the maintenance relationship combined with the change trend; According to the maintenance requirement, corresponding technical operations are retrieved from a maintenance technology library, and the device adjustment plan is updated according to the technical operations.

6. The adaptive control method for an organic electroluminescent device according to claim 5, characterized in that: Collecting historical maintenance conditions of the organic electroluminescent device and analyzing the maintenance relationship between the historical maintenance conditions and the change trend, including: Collecting historical maintenance conditions of organic electroluminescent devices, matching the historical maintenance conditions with device performance one by one, marking the corresponding device performance, and segmenting the change trend of the device performance according to the marking results, and determining the segmentation trend corresponding to each marking result; The potential impact of each maintenance record on the next maintenance is determined according to the segmentation trend, and the maintenance relationship between the historical maintenance situation and the change trend is determined by combining all segmentation trends and the potential impact of the maintenance record on the next maintenance.

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