A burning device and a burning method for a liquid crystal display screen

Abstract

The present invention relates to a programming system, specifically a programming device for a liquid crystal display screen, comprising: a control module, a storage module, a programming interface module, a verification module, a monitoring module, and a communication module; the control module includes an embedded microcontroller for receiving and parsing programming instructions and distributing the instructions to relevant modules; the storage module is composed of an EEPROM and a high-speed RAM for storing programming programs and temporary data; the programming interface module includes multiple hardware driver circuits supporting I2C, SPI, and UART interfaces for physically connecting to the liquid crystal display screen and performing data programming; the verification module consists of a CRC verification processor and a logic control circuit for verifying the integrity of the programmed data in real time; the monitoring module integrates multiple status detection sensors and an exception handling unit for monitoring the working status during the programming process and providing an alarm signal; the communication module is composed of a wireless transmission chip and a wired communication interface for remote monitoring and log uploading.

Description

Technical Field

[0001] The present invention relates to the field of programming systems, and particularly to a programming device and method for a liquid crystal display screen. Background Art

[0002] With the wide application of liquid crystal display screens in fields such as consumer electronics, industrial equipment, and traffic displays, the quality and performance requirements for liquid crystal display screens are increasing day by day. As one of the important links in the production of liquid crystal display screens, firmware programming technology is responsible for writing the programs and parameters required for device operation into the storage chip of the screen controller. However, the existing liquid crystal display screen programming technology has the following deficiencies:

[0003] Most of the existing programming technologies adopt a fixed transmission priority and a simple serial transmission method, and are unable to dynamically adjust the transmission strategy of data blocks according to the operating state of the liquid crystal display screen. During the data transmission process, the utilization rate of the transmission channel is low, and bottleneck problems are likely to occur in the case of bus resource contention or signal interference. Especially in the programming task of high-resolution liquid crystal display screens, a large amount of firmware data needs to be transmitted at a high frequency, and the existing technology often results in too long a programming time due to low transmission efficiency, affecting production efficiency.

[0004] During the operation of the current programming device, errors are usually only checked after the task is completed, lacking real-time monitoring and dynamic response capabilities. This post-processing mode is prone to the accumulation of faults. For example, hardware damage caused by unstable voltage or too high temperature often cannot be detected and processed in time when the problem occurs. In addition, abnormal data transmission or deterioration of the hardware state may lead to programming failure, increasing the defective rate of the screen and production costs.

[0005] In the existing technology, multi-task programming usually allocates tasks according to fixed rules, such as first-in-first-out (FIFO) or static priority allocation. Such scheduling methods cannot flexibly cope with load fluctuations or changes in task priorities in actual working scenarios. For example, when the programming task involves multiple screens, preferentially programming the screen with a higher task complexity may cause other tasks to wait too long, thereby reducing the overall production efficiency. More importantly, the lack of an intelligent scheduling strategy makes it difficult for the system to perform adaptive optimization according to real-time performance indicators and unable to achieve a comprehensive balance between efficiency and stability. Summary of the Invention

[0006] The purpose of the present invention is to provide a programming device and method for a liquid crystal display screen to solve the technical problems raised in the above background art.

[0007] Based on the above ideas, the present invention provides the following technical solutions:

[0008] A programming device for a liquid crystal display screen, comprising: a control module, a storage module, a programming interface module, a verification module, a monitoring module, and a communication module; the control module includes an embedded microcontroller (MCU) for receiving and parsing programming instructions and distributing the instructions to relevant modules; the storage module consists of an EEPROM and a high-speed RAM for storing programming programs and temporary data; the programming interface module includes multiple hardware driver circuits supporting I2C, SPI, and UART interfaces for physically connecting to the liquid crystal display screen and performing data programming; the verification module consists of a CRC verification processor and a logic control circuit for verifying the integrity of the programmed data in real time; the monitoring module integrates multiple status detection sensors and an exception handling unit for monitoring the working status during the programming process and providing an alarm signal; the communication module consists of a wireless transmission chip and a wired communication interface for remote monitoring and log uploading; the control module communicates and coordinates with all modules for instruction transmission and result collection; the storage module provides programs and data for the programming interface module and assists the verification module in completing data verification; the monitoring module provides real-time status data for the control module to make decisions and reports information through the communication module in case of an exception; the verification module directly feeds back the verification result to the control module.

[0009] Through modular design, the efficient and reliable operation of the programming device for the liquid crystal display screen is achieved. The embedded microcontroller (MCU) as the core control module can coordinate the work of each module to realize the automation and intelligence of the programming process. The storage module combines the EEPROM and the high-speed RAM, which can not only store data for a long time but also meet the high-speed reading requirements, improving the operation efficiency. The programming interface module supports multiple transmission protocols (I2C, SPI, UART), enhancing the adaptability of the device and enabling it to be compatible with liquid crystal display screens of different specifications. The CRC verification processor ensures the integrity of data transmission and greatly reduces errors during the programming process. The monitoring module can detect the status in real time through multiple sensors and can give timely feedback on abnormal conditions, ensuring the safety of the device. In addition, the communication module supports remote monitoring and log uploading, making the operation and maintenance management of the device more convenient. The cooperation between modules further optimizes the data flow and instruction execution efficiency, significantly improving the overall performance.

[0010] Preferably, the programming interface module performs the programming operation through a data transmission scheduling algorithm, and the steps include:

[0011] S1. Dynamically allocate the transmission priority of data blocks based on the feedback of the liquid crystal display screen status sensor;

[0012] S2. Invoke the embedded CRC processing unit to perform real-time data integrity verification;

[0013] S3. Implement parallel data transmission through a driver chip that supports multiple interface protocols;

[0014] S4. Dynamically adjust the working frequency according to the data transmission rate and bus occupancy to reduce transmission conflicts.

[0015] Through the data transmission scheduling algorithm, the programming interface module of the present invention can dynamically adjust the transmission priority according to the real-time feedback of the liquid crystal display screen state, greatly improving the efficiency and reliability of data transmission. The embedded CRC check unit can detect and correct errors in real time during data transmission, reducing programming failures caused by data corruption. Support for multiple interface protocols (I2C, SPI, UART) enables the device to transmit data in parallel, making full use of the bus resources and avoiding bottleneck problems caused by interface limitations. The mechanism of dynamically adjusting the working frequency effectively reduces the bus occupancy rate, making data transmission smoother, thus meeting the programming requirements of high frequency and high load.

[0016] Preferably, the transmission priority is calculated by the following formula:

[0017] P = W i ×(1 - E i )

[0018] where P represents the data block transmission priority; W i is the weight dynamically allocated according to the screen state; E i is the transmission error rate, provided after being corrected by sensor data;

[0019] The formula for the asynchronous parallel transmission throughput rate is:

[0020] ;

[0021] where T is the total throughput rate; Si is the data block size; t i is the transmission delay; Δ i is the check time.

[0022] Through the priority calculation formula, the programming data block can be weighted according to the screen state and the error rate, ensuring the priority transmission of key data, improving the utilization efficiency of the data stream and the task completion speed. The throughput rate optimization formula combines the dynamic factors of the data block size, delay time, and check time, accurately quantifying the data transmission performance, enabling the system to adjust the operation strategy according to real-time conditions. This algorithm not only improves the adaptability of the programming device in complex scenarios but also ensures efficient and highly reliable data transmission, meeting the technical requirements of high-precision programming for liquid crystal display screens.

[0023] Preferably, the monitoring module adopts a real-time fault detection algorithm, including the following steps:

[0024] S1. Collect real-time voltage, current, and temperature data from the status sensor;

[0025] S2. Calculate the dynamic anomaly threshold based on the embedded data model;

[0026] S3. Use an independent hardware thread to capture the anomaly signal and automatically trigger interrupt handling;

[0027] S4. Upload the detection data and logs to the remote server.

[0028] Through the monitoring module integrating the real-time fault detection algorithm, the full-range status monitoring of the burning process is realized. The voltage, current, and temperature sensors can accurately capture the changes in the operating environment, and the dynamic anomaly threshold calculation model can adapt to different scenarios, improving the sensitivity and accuracy of fault detection. The independent hardware thread design ensures the real-time capture and processing of anomaly signals, avoiding further faults caused by interrupt delays. The log upload function not only provides a basis for fault analysis and system debugging but also facilitates remote monitoring and maintenance for equipment maintenance personnel, comprehensively improving the safety and reliability of the device.

[0029] Preferably, the calculation formula of the dynamic threshold includes:

[0030] ;

[0031] where A t is the dynamic anomaly threshold; D i is the historical anomaly data; n is the number of samples; k is the correction coefficient; is the standard deviation.

[0032] The dynamic threshold calculation formula generates a more accurate anomaly detection standard by integrating historical anomaly data, sample standard deviation, and correction coefficient, and is applicable to various burning environments. This method can adjust parameters in real time according to historical data in different scenarios, making the threshold more adaptable and significantly reducing the possibility of false alarms and missed alarms. By introducing the standard deviation, this formula can effectively reflect the volatility of fault data, helping the system accurately identify potential risks, thereby improving the stability and reliability of the burning device.

[0033] Preferably, it further includes a linkage optimization algorithm, and the implementation steps of the linkage optimization algorithm include:

[0034] S1. Calculate the data transmission efficiency index based on the real-time transmission throughput rate of the data transmission scheduling algorithm;

[0035] S2. Analyze the stability of the current burning environment based on the dynamic threshold of the real-time fault detection algorithm;

[0036] S3. Adjust the task scheduling strategy of the control module by integrating the indexes of transmission throughput rate and dynamic threshold;

[0037] S4. Dynamically optimize the priority of the burning task through a feedback mechanism to ensure the balance between stability and efficiency.

[0038] The step design of the linkage optimization algorithm combines the data transmission efficiency index and the environmental stability index, and can comprehensively evaluate the real-time performance of the burning task. By dynamically adjusting the task scheduling strategy of the control module, this algorithm realizes the intelligent resource allocation of the burning device under high load. The introduction of the feedback mechanism enables the algorithm to continuously optimize the task priority allocation according to the actual effect, thereby further improving the efficiency while ensuring stability. This step design provides an important technical means for the global optimization of the liquid crystal display burning process.

[0039] Preferably, the linkage optimization algorithm combines the indexes of the comprehensive transmission throughput rate and the dynamic threshold through the following formula:

[0040] ;

[0041] where Q is the comprehensive quality of the burning task; T is the data transmission efficiency; At is the real-time fault detection threshold; α, β are weight parameters, and are tuned by combining empirical values.

[0042] The linkage optimization algorithm formula combines the two core indexes of data transmission efficiency and dynamic fault detection threshold to generate the comprehensive quality index Q of the burning task. This formula can flexibly adjust the optimization target through the weight parameters according to the actual burning environment, so that the system achieves the best balance between efficiency and stability. The dynamic characteristics in the formula enable the device to quickly adapt to the changing working conditions and avoid the limitations brought by the optimization of a single index. Through this comprehensive formula, the present invention further improves the intelligent level and multitasking processing ability of the burning device, and provides a strong guarantee for the efficient and safe burning of liquid crystal displays.

[0043] A method for burning a liquid crystal display, including using the burning device of the liquid crystal display.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] The real-time fault detection algorithm collects multi-dimensional status data such as voltage, current, and temperature, constructs a dynamic abnormal threshold model, and significantly improves the real-time monitoring ability of the burning environment. The dynamic threshold formula combines historical abnormal data and standard deviation, can adapt to environmental changes under different burning conditions, provides an accurate abnormal detection mechanism, and reduces the possibility of false alarms and missed alarms. The design of the hardware thread ensures the real-time capture of abnormal signals and automatic interrupt processing, avoiding further system failures caused by processing delays. In addition, the algorithm also uploads the monitoring logs to the remote server in real time, which not only provides rich historical data support for fault analysis, but also lays a foundation for the remote maintenance and intelligent diagnosis of the device, significantly enhancing the security and stability of the device operation.

[0046] The real-time fault detection algorithm collects multi-dimensional status data such as voltage, current, and temperature, constructs a dynamic abnormal threshold model, and significantly improves the real-time monitoring ability of the burning environment. The dynamic threshold formula combines historical abnormal data and standard deviation, can adapt to environmental changes under different burning conditions, provides an accurate abnormal detection mechanism, and reduces the possibility of false alarms and missed alarms. The design of the hardware thread ensures the real-time capture of abnormal signals and automatic interrupt processing, avoiding further system failures caused by processing delays. In addition, the algorithm also uploads the monitoring logs to the remote server in real time, which not only provides rich historical data support for fault analysis, but also lays a foundation for the remote maintenance and intelligent diagnosis of the device, significantly enhancing the security and stability of the device operation.

[0047] The linkage optimization algorithm combines the transmission throughput rate index of the data transmission scheduling algorithm and the dynamic abnormal threshold of the fault detection algorithm to comprehensively analyze the efficiency and security during the burning process. Through the dynamic adjustment of the task scheduling strategy, the linkage optimization algorithm realizes the reasonable resource allocation among multiple tasks, ensuring the best balance between high efficiency and high reliability in the burning task. Specifically, the introduction of the comprehensive formula enables the system to flexibly cope with sudden load fluctuations and environmental changes during the burning process, effectively avoiding the limitations brought by single-target optimization. The feedback mechanism further strengthens the adaptability of the optimization strategy, enabling the burning device to continuously optimize the task execution efficiency through self-adjustment, ensuring the intelligent and automatic completion of the liquid crystal display burning task. Brief Description of the Drawings

[0048] Figure 1 It is a schematic diagram of the module relationship of a burning device and a burning method for a liquid crystal display according to the present invention. Detailed Embodiments

[0049] A programming device for a liquid crystal display screen, comprising: a control module, a storage module, a programming interface module, a verification module, a monitoring module, and a communication module; the control module includes an embedded microcontroller (MCU) for receiving and parsing programming instructions and distributing the instructions to relevant modules; the storage module consists of an EEPROM and a high-speed RAM for storing programming programs and temporary data; the programming interface module includes multiple hardware driver circuits supporting I2C, SPI, and UART interfaces for physically connecting to the liquid crystal display screen and performing data programming; the verification module consists of a CRC verification processor and a logic control circuit for verifying the integrity of the programmed data in real time; the monitoring module integrates multiple status detection sensors and an exception handling unit for monitoring the working status during the programming process and providing an alarm signal; the communication module consists of a wireless transmission chip and a wired communication interface for remote monitoring and log uploading; the control module communicates and coordinates with all modules for instruction transmission and result collection; the storage module provides programs and data for the programming interface module and assists the verification module in completing data verification; the monitoring module provides real-time status data for the control module to make decisions and reports information through the communication module in case of an exception; the verification module directly feeds back the verification result to the control module.

[0050] Through modular design, the efficient and reliable operation of the programming device for the liquid crystal display screen is achieved. The embedded microcontroller (MCU) as the core control module can coordinate the work of each module to realize the automation and intelligence of the programming process. The storage module combines the EEPROM and the high-speed RAM, which can not only store data for a long time but also meet the high-speed reading requirements, improving the operation efficiency. The programming interface module supports multiple transmission protocols (I2C, SPI, UART), enhancing the adaptability of the device and enabling it to be compatible with liquid crystal display screens of different specifications. The CRC verification processor ensures the integrity of data transmission and significantly reduces errors during the programming process. The monitoring module can detect the status in real time through multiple sensors and provide timely feedback on abnormal conditions, ensuring the safety of the device. In addition, the communication module supports remote monitoring and log uploading, making the operation and maintenance management of the device more convenient. The cooperation between modules further optimizes the data flow and instruction execution efficiency, significantly improving the overall performance.

[0051] Specifically, the programming interface module performs programming operations through a data transmission scheduling algorithm, and the steps are as follows:

[0052] S1. Dynamically allocate the transmission priority of data blocks based on the feedback of the liquid crystal display screen status sensor;

[0053] S2. Call the embedded CRC processing unit to perform real-time data integrity verification;

[0054] S3. Implement parallel data transmission through a driver chip that supports multi-interface protocols;

[0055] S4. Dynamically adjust the working frequency according to the data transmission rate and bus occupancy to reduce transmission conflicts.

[0056] Through the data transmission scheduling algorithm, the programming interface module of the present invention can dynamically adjust the transmission priority according to the real-time feedback of the liquid crystal display screen state, greatly improving the efficiency and reliability of data transmission. The embedded CRC check unit can detect and correct errors in real time during data transmission, reducing programming failures caused by data corruption. Support for multi-interface protocols (I2C, SPI, UART) enables the device to transmit data in parallel, making full use of bus resources and avoiding bottleneck problems caused by interface limitations. The mechanism for dynamically adjusting the working frequency effectively reduces the bus occupancy rate, making data transmission smoother, thus meeting the high-frequency and high-load programming requirements.

[0057] Specifically, the transmission priority is calculated by the following formula:

[0058] P = W i ×(1 - E i )

[0059] where P represents the data block transmission priority; W i is the weight dynamically allocated according to the screen state; E i is the transmission error rate, provided after sensor data correction;

[0060] The formula for the asynchronous parallel transmission throughput is:

[0061] ;

[0062] where T is the total throughput; Si is the data block size; t i is the transmission delay; Δ i is the check time.

[0063] Through the priority calculation formula, the programming data block can be weighted according to the screen state and error rate, ensuring the priority transmission of key data, improving the utilization efficiency of the data stream and the task completion speed. The throughput optimization formula combines the dynamic factors of data block size, delay time, and check time, accurately quantifying the data transmission performance, enabling the system to adjust the operation strategy according to real-time conditions. This algorithm not only improves the adaptability of the programming device in complex scenarios but also ensures efficient and highly reliable data transmission, meeting the technical requirements for high-precision programming of liquid crystal display screens.

[0064] The technical implementation steps are as follows:

[0065] Utilize the memory status sensor of the liquid crystal display screen (such as an EEPROM-based read-write status detector) to provide real-time feedback on the free storage space of the screen. According to the feedback results, use a priority allocation logic circuit to dynamically assign weights to data blocks.

[0066] The CRC check unit calculates the data integrity index based on the real-time feedback of the bit error rate during data transmission. The bit error rate is provided by a signal integrity monitor (such as a jitter detection module) on the data bus.

[0067] A multi-interface driver chip (such as a hardware controller supporting I2C, SPI, and UART protocols) is responsible for the parallel transmission operation of actual data blocks.

[0068] Use the kernel frequency adjustment function of the embedded microcontroller (MCU) to adjust the working frequency according to the current bus occupancy rate to optimize the transmission efficiency.

[0069] W i Allocate according to the screen status (such as remaining space), the more free space, the higher the weight;

[0070] E i For the bit error rate, provided by data integrity detection, the lower the bit error rate, the higher the priority;

[0071] T is the total throughput rate, used to evaluate the transmission efficiency;

[0072] S i Is the size of the i-th data block, determined by the data block management module;

[0073] t i The transmission delay, measured by the multi-interface transmission control unit;

[0074] Δ i Is the check time, provided by the CRC check module.

[0075] W i Used to guide priority allocation, E i Used to reduce the priority of error data blocks, t i And Δ i Reflect the performance bottlenecks of actual hardware transmission and checking.

[0076] The priority P directly controls the scheduling logic of the programming task, and the throughput rate T is used to adjust the frequency of the bus and the allocation of transmission resources, ultimately improving the programming efficiency and reducing the transmission error rate.

[0077] Specifically, the monitoring module adopts a real-time fault detection algorithm, including the following steps:

[0078] S1. Collect real-time voltage, current, and temperature data from the status sensor;

[0079] S2. Calculate the dynamic anomaly threshold based on the embedded data model;

[0080] S3. Use an independent hardware thread to capture the anomaly signal and automatically trigger interrupt handling;

[0081] S4. Upload the detection data and logs to the remote server.

[0082] Through the monitoring module integrating the real-time fault detection algorithm, the full-range status monitoring of the burning process is realized. The voltage, current, and temperature sensors can accurately capture the changes in the operating environment, and the dynamic anomaly threshold calculation model can adapt to different scenarios, improving the sensitivity and accuracy of fault detection. The independent hardware thread design ensures the real-time capture and processing of the anomaly signal, avoiding further faults caused by interrupt latency. The log upload function not only provides a basis for fault analysis and system debugging but also facilitates the remote monitoring and maintenance of equipment maintenance personnel, comprehensively improving the safety and reliability of the device.

[0083] Specifically, the calculation formula of the dynamic threshold includes:

[0084] ;

[0085] where A t is the dynamic anomaly threshold; D i is the historical anomaly data; n is the number of samples; k is the correction coefficient; is the standard deviation.

[0086] The technical implementation steps are as follows:

[0087] The voltage, current, and temperature sensors perform real-time acquisition through the embedded ADC module, and the data is input into the MCU for analysis.

[0088] The dynamic anomaly threshold is calculated in real time through the built-in mathematical calculation library of the MCU in combination with historical data to generate the fault detection standard.

[0089] The interrupt handling module designed with an independent hardware thread triggers an interrupt immediately when an anomaly signal is detected, stops the burning, and records the log.

[0090] The monitoring log is uploaded to the remote server through the communication module (such as Wi-Fi or Ethernet chip) for maintenance personnel to analyze.

[0091] D i is the historical anomaly data, stored by the log module;

[0092] n is the number of historical data samples;

[0093] is the standard deviation, reflecting the volatility of historical data;

[0094] k is a correction coefficient, which is set according to the application scenario.

[0095] D i Provide an abnormal reference benchmark, reflect the fluctuation range, and k adjusts the sensitivity.

[0096] The calculated threshold A t is directly used for real-time status monitoring. If the current status exceeds the threshold, the interruption protection mechanism is triggered to prevent hardware damage or data loss.

[0097] The dynamic threshold calculation formula generates a more accurate abnormal detection standard by integrating historical abnormal data, sample standard deviation, and correction coefficient, and is applicable to various burning environments. This method can adjust parameters in real time according to historical data in different scenarios, making the threshold more adaptable, and significantly reducing the possibility of false alarms and missed alarms. By introducing the standard deviation, this formula can effectively reflect the volatility of fault data, help the system accurately identify potential risks, and thus improve the stability and reliability of the burning device.

[0098] Specifically, it also includes a linkage optimization algorithm. The implementation steps of the linkage optimization algorithm include:

[0099] S1. Calculate the data transmission efficiency index based on the real-time transmission throughput rate of the data transmission scheduling algorithm;

[0100] S2. Analyze the stability of the current burning environment based on the dynamic threshold of the real-time fault detection algorithm;

[0101] S3. Adjust the task scheduling strategy of the control module by integrating the indexes of transmission throughput rate and dynamic threshold;

[0102] S4. Dynamically optimize the priority of the burning task through a feedback mechanism to ensure the balance of stability and efficiency.

[0103] The step design of the linkage optimization algorithm combines the data transmission efficiency index and the environmental stability index, and can comprehensively evaluate the real-time performance of the burning task. By dynamically adjusting the task scheduling strategy of the control module, this algorithm realizes the intelligent resource allocation of the burning device under high load. The introduction of the feedback mechanism enables the algorithm to continuously optimize the task priority allocation according to the actual effect, thus further improving the efficiency while ensuring stability. This step design provides an important technical means for the global optimization of the liquid crystal display burning process.

[0104] Specifically, the linkage optimization algorithm integrates the indexes of transmission throughput rate and dynamic threshold through the following formula:

[0105] ;

[0106] Among them, Q is the comprehensive quality of the burning task; T is the data transmission efficiency; At is the real-time fault detection threshold; α and β are weight parameters, which are tuned by combining empirical values.

[0107] The linkage optimization algorithm formula combines two core indicators, the data transmission efficiency and the dynamic fault detection threshold, to generate the comprehensive quality index Q of the burning task. This formula can flexibly adjust the optimization goal through the weight parameters according to the actual burning environment, so that the system achieves the best balance between efficiency and stability. The dynamic characteristics in the formula enable the device to quickly adapt to changing working conditions and avoid the limitations brought by optimizing a single indicator. Through this comprehensive formula, the present invention further improves the intelligent level and multitasking processing ability of the burning device, providing a strong guarantee for the efficient and safe burning of liquid crystal displays.

[0108] The technical implementation steps are as follows:

[0109] Use the throughput formula of the data transmission scheduling algorithm to calculate the real-time transmission efficiency index.

[0110] Combine the dynamic threshold of the real-time fault detection algorithm to analyze whether the burning environment is within the safe range.

[0111] Through the task scheduling module of the embedded microcontroller, adjust the execution order of the burning tasks according to the comprehensive index.

[0112] After the task is completed, adaptively optimize the scheduling strategy through the collected efficiency and stability data.

[0113] T is the data transmission efficiency index, which is calculated by the throughput formula;

[0114] A t is the dynamic anomaly threshold, which is provided by the fault detection algorithm;

[0115] α and β are weight parameters, which reflect the priorities of efficiency and security.

[0116] T reflects the transmission speed, and A t represents the safety margin, and α and β determine the priority optimization goal.

[0117] Q, as an input parameter of the scheduling algorithm, dynamically controls the task execution order. By preferentially executing tasks with high comprehensive quality, the burning device achieves a balance between efficiency and security.

[0118] A method for burning a liquid crystal display includes using the burning device for the liquid crystal display.

Claims

1. A burning device for a liquid crystal display, characterized in that: include: Control module, storage module, burning interface module, verification module, monitoring module and communication module; The control module includes an embedded microcontroller for receiving and parsing programming instructions and distributing the instructions to the programming interface module; The storage module is composed of EEPROM and high-speed RAM, and is used to store burning programs and temporary data; The burning interface module includes a plurality of hardware driving circuits supporting I2C, SPI and UART interfaces, and is used for physically connecting with the liquid crystal display screen to perform data burning; The verification module is composed of a CRC verification processor and a logic control circuit to verify the integrity of the burning data in real time; The monitoring module integrates multiple status detection sensors and abnormality processing units to monitor the working status during the burning process and provide alarm signals; The communication module is composed of a wireless transmission chip and a wired communication interface, and is used for remote monitoring and log uploading; The control module communicates and coordinates with all modules, transmits instructions and collects results; the storage module provides programs and data for the burning interface module, and assists the verification module in completing data verification; The monitoring module provides real-time status data for the control module to make decisions and reports information through the communication module in abnormal situations; The verification module directly feeds back the verification result to the control module; The burning interface module performs burning operation through data transmission scheduling algorithm, and the steps include: S1, dynamically assigning data block transmission priority based on feedback from the LCD screen status sensor; S2, calling the embedded CRC processing unit to perform real-time data integrity check; S3, realize parallel data transmission through driver chip supporting multiple interface protocols; S4, dynamically adjust the operating frequency according to the data transmission rate and bus occupancy to reduce transmission conflicts; The asynchronous parallel transmission throughput formula is: ; Where, T is the total throughput; Si is the data block size; t i is the transmission delay; Δ i To verify the time; The monitoring module adopts a real-time fault detection algorithm, including the following steps: S1, collect real-time voltage, current and temperature data from status sensors; S2, calculate the dynamic anomaly threshold based on the embedded data model; S3, using independent hardware threads to capture abnormal signals and automatically trigger interrupt processing; S4, uploading the detection data and logs to the remote server; The calculation formula of the dynamic abnormal threshold includes: ; Among them, A t is the dynamic abnormal threshold; D i is the historical abnormal data; n is the number of samples; k is the correction coefficient; δ is the standard deviation.

2. A burning device for a liquid crystal display according to claim 1, characterized in that: It also includes a linkage optimization algorithm, and the implementation steps of the linkage optimization algorithm include: S1, calculating the data transmission efficiency index based on the real-time transmission throughput of the data transmission scheduling algorithm; S2. Analyze the stability of the current programming environment based on the dynamic threshold of the real-time fault detection algorithm; S3, adjusting the task scheduling strategy of the control module based on the comprehensive transmission throughput and dynamic threshold indicators; S4. Dynamically optimize the burning task priority through the feedback mechanism to ensure a balance between stability and efficiency.

3. A burning device for a liquid crystal display according to claim 2, characterized in that: The linkage optimization algorithm combines the transmission throughput and dynamic threshold indicators through the following formula: ; Among them, Q is the comprehensive quality of the burning task; T is the data transmission efficiency; A t is the real-time fault detection threshold; α, β are weight parameters, which are tuned based on experience.

4. A method for burning a liquid crystal display screen, characterized in that: It comprises a burning device using a liquid crystal display screen as described in any one of claims 1-3.

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