Burning device and burning method of liquid crystal display screen

Abstract

The invention relates to a burning system, in particular to a liquid crystal display burning device which comprises a control module, a storage module, a burning interface module, a verification module, a monitoring module and a communication module. The control module comprises an embedded microcontroller and is used for receiving and analyzing a burning instruction and distributing the instruction to the related modules; the storage module is composed of an EEPROM and a high-speed RAM and used for storing a burning program and temporary data. The burning interface module comprises a plurality of hardware driving circuits supporting I2C, SPI and UART interfaces and is used for being physically connected with the liquid crystal display screen and executing data burning; the verification module consists of a CRC (Cyclic Redundancy Check) processor and a logic control circuit and is used for verifying the integrity of burnt data in real time; the monitoring module integrates a plurality of state detection sensors and an exception handling unit, and is used for monitoring the working state in the burning process and providing an alarm signal; the communication module is composed of a wireless transmission chip and a wired communication interface and is used for remote monitoring and log uploading.

Description

Technical Field

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

[0002] With the widespread use of LCDs in consumer electronics, industrial equipment, and transportation displays, the quality and performance requirements for LCDs are increasing. As a key step in LCD production, firmware burning technology is responsible for writing the programs and parameters required for device operation into the screen controller's memory chip. However, existing LCD burning technology has the following shortcomings: Most existing programming technologies rely on fixed transmission priorities and simple serial transmission methods, making it difficult to dynamically adjust data block transmission strategies based on the LCD's operating status. During data transmission, transmission channel utilization is low, and bottlenecks can easily occur due to bus resource contention or signal interference. This is particularly true for programming high-resolution LCDs, where large amounts of firmware data must be transmitted at high frequencies. Existing technologies often suffer from low transmission efficiency, resulting in excessively long programming times and impacting production efficiency.

[0003] Current programming devices typically only check for errors after the task is completed, lacking real-time monitoring and dynamic response capabilities. This post-processing approach easily leads to the accumulation of faults. For example, hardware damage caused by unstable voltage or excessive temperature often cannot be detected and addressed in time. In addition, abnormal data transmission or hardware degradation can cause programming failures, increasing the defective screen rate and production costs.

[0004] In existing technologies, multi-task burning typically allocates tasks according to fixed rules, such as first-come, first-served (FIFO) or static priority allocation. This scheduling approach cannot flexibly adapt to load fluctuations or changes in task priorities in real-world workloads. For example, when burning multiple screens, prioritizing screens with higher complexity can cause other tasks to wait excessively, reducing overall production efficiency. More importantly, the lack of intelligent scheduling strategies makes it difficult for the system to adaptively optimize based on real-time performance metrics, making it impossible to achieve a comprehensive balance between efficiency and stability. Summary of the Invention

[0005] The object of the present invention is to provide a burning device and burning method for a liquid crystal display screen to solve the technical problems raised in the above background technology.

[0006] Based on the above ideas, the present invention provides the following technical solutions: A burning device for a liquid crystal display screen comprises: a control module, a storage module, a burning interface module, a verification module, a monitoring module and a communication module; the control module comprises an embedded microcontroller (MCU) for receiving and parsing burning instructions and distributing the instructions to relevant modules; the storage module comprises an EEPROM and a high-speed RAM for storing burning programs and temporary data; the burning interface module comprises a plurality of hardware drive circuits supporting I2C, SPI and UART interfaces for physically connecting to the liquid crystal display screen and performing data burning; the verification module comprises a CRC check processor and a logic control circuit for real-time verification of the burning program. The integrity of the recorded data; the monitoring module integrates multiple status detection sensors and abnormality handling units to monitor the working status during the programming process and provide alarm signals; the communication module is composed 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, transmits instructions and collects results; 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 abnormal situations; the verification module directly feeds back the verification results to the control module.

[0007] The modular design enables efficient and reliable operation of the LCD display programming device. The embedded microcontroller (MCU), serving as the core control module, coordinates the operations of various modules, automating and intelligently implementing the programming process. The storage module utilizes a combination of EEPROM and high-speed RAM, ensuring both long-term data storage and high-speed access, improving operational efficiency. The programming interface module supports multiple transmission protocols (I2C, SPI, and UART), enhancing the device's adaptability and compatibility with LCDs of varying specifications. A CRC checksum ensures data transmission integrity, significantly reducing errors during the programming process. The monitoring module utilizes multiple sensors for real-time status monitoring, providing timely feedback on abnormal conditions and ensuring device safety. Furthermore, the communication module supports remote monitoring and log upload, making device operation and maintenance more convenient. The collaboration between modules further optimizes data flow and command execution efficiency, significantly improving overall performance.

[0008] Preferably, the burning interface module performs the burning operation through a data transmission scheduling algorithm, and the steps include: S1, dynamically assigning data block transmission priority based on feedback from the LCD 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.

[0009] Through a data transmission scheduling algorithm, the programming interface module of the present invention dynamically adjusts transmission priority based on real-time feedback from the LCD display status, significantly improving data transmission efficiency and reliability. A built-in CRC checksum unit detects and corrects errors in real time during data transmission, reducing programming failures due to data corruption. Support for multiple interface protocols (I2C, SPI, and UART) enables parallel data transmission, fully utilizing bus resources and avoiding bottlenecks caused by interface limitations. A mechanism for dynamically adjusting operating frequency effectively reduces bus occupancy, ensuring smoother data transmission and meeting high-frequency, high-load programming requirements.

[0010] Preferably, the transmission priority is calculated by the following formula: P=W i ×(1−E i ); Where P represents the data block transmission priority; W i The weight assigned in real time according to the screen status; E i is the transmission bit error rate, provided by the sensor data after correction; 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.

[0011] Using a priority calculation formula, programming data blocks are weighted based on screen status and bit error rate, ensuring that critical data is transmitted first, improving data flow efficiency and task completion speed. A throughput optimization formula incorporates dynamic factors such as data block size, latency, and verification time to precisely quantify data transmission performance, enabling the system to adjust operational strategies based on real-time conditions. This algorithm not only improves the programming device's adaptability in complex scenarios but also ensures efficient and reliable data transmission, meeting the technical requirements for high-precision programming of LCD screens.

[0012] Preferably, the monitoring module adopts a real-time fault detection algorithm, comprising the following steps: S1, collects 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. Upload the detection data and logs to the remote server.

[0013] A monitoring module integrated with a real-time fault detection algorithm enables comprehensive status monitoring of the programming process. Voltage, current, and temperature sensors accurately capture changes in the operating environment, and a dynamic anomaly threshold calculation model adapts to different scenarios, improving the sensitivity and accuracy of fault detection. Independent hardware thread design ensures real-time capture and processing of abnormal signals, avoiding further failures 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 by equipment maintenance personnel, comprehensively enhancing the safety and reliability of the device.

[0014] Preferably, the calculation formula of the dynamic 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; is the standard deviation.

[0015] The dynamic threshold calculation formula integrates historical anomaly data, sample standard deviation, and correction coefficients to generate a more accurate anomaly detection standard applicable to various programming environments. This method can adjust parameters in real time based on historical data from different scenarios, making the threshold more adaptable and significantly reducing the possibility of false positives and false negatives. By incorporating standard deviation, the formula effectively reflects the volatility of fault data, helping the system accurately identify potential risks, thereby improving the stability and reliability of the programming device.

[0016] Preferably, a linkage optimization algorithm is also included, and the implementation steps of the linkage optimization algorithm include: S1. Calculate 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 programming task priority through the feedback mechanism to ensure a balance between stability and efficiency.

[0017] The step-by-step design of the linked optimization algorithm combines metrics such as data transmission efficiency and environmental stability to comprehensively evaluate the real-time performance of programming tasks. By dynamically adjusting the control module's task scheduling strategy, the algorithm achieves intelligent resource allocation for the programming device under high load. The introduction of a feedback mechanism enables the algorithm to continuously optimize task priority allocation based on actual performance, further improving efficiency while maintaining stability. This step-by-step design provides an important technical means for the global optimization of the LCD display programming process.

[0018] Preferably, 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; At is the real-time fault detection threshold; α and β are weight parameters, which are tuned based on experience.

[0019] The linkage optimization algorithm formula combines the two core indicators of data transmission efficiency and dynamic fault detection threshold to generate a comprehensive quality indicator Q for the burning task. This formula can flexibly adjust the optimization target through weight parameters according to the actual burning environment, so that the system can achieve the best balance between efficiency and stability. The dynamic characteristics in the formula enable the device to quickly adapt to changing working conditions, avoiding the limitations brought by the optimization of a single indicator. Through this comprehensive formula, the present invention further improves the intelligence level and multi-tasking processing capabilities of the burning device, providing a strong guarantee for the efficient and safe burning of LCD screens. A method for burning a liquid crystal display screen includes using the burning device for the liquid crystal display screen.

[0020] Compared with the prior art, the present invention has the following beneficial effects: The real-time fault detection algorithm collects multi-dimensional status data such as voltage, current, and temperature to construct a dynamic anomaly threshold model, significantly improving the real-time monitoring capabilities of the programming environment. The dynamic threshold formula, combined with historical anomaly data and standard deviation, can adapt to environmental changes under different programming conditions, providing a precise anomaly detection mechanism and reducing the possibility of false positives and missed negatives. The hardware thread design ensures real-time capture and automatic interrupt processing of anomaly signals, preventing further system failures due to processing delays. Furthermore, the algorithm uploads monitoring logs to a remote server in real time, providing rich historical data support for fault analysis and laying the foundation for remote maintenance and intelligent diagnosis of the equipment, significantly enhancing the safety and stability of equipment operation.

[0021] The real-time fault detection algorithm collects multi-dimensional status data such as voltage, current, and temperature to construct a dynamic anomaly threshold model, significantly improving the real-time monitoring capabilities of the programming environment. The dynamic threshold formula, combined with historical anomaly data and standard deviation, can adapt to environmental changes under different programming conditions, providing a precise anomaly detection mechanism and reducing the possibility of false positives and missed negatives. The hardware thread design ensures real-time capture and automatic interrupt processing of anomaly signals, preventing further system failures due to processing delays. Furthermore, the algorithm uploads monitoring logs to a remote server in real time, providing rich historical data support for fault analysis and laying the foundation for remote maintenance and intelligent diagnosis of the equipment, significantly enhancing the safety and stability of equipment operation.

[0022] The linked optimization algorithm combines the data transmission scheduling algorithm's transmission throughput metric with the fault detection algorithm's dynamic anomaly threshold to comprehensively analyze the efficiency and safety of the programming process. By dynamically adjusting the task scheduling strategy, the linked optimization algorithm achieves optimal resource allocation across multiple tasks, ensuring the optimal balance between high efficiency and high reliability for the programming task. Specifically, the introduction of a comprehensive formula enables the system to flexibly respond to sudden load fluctuations and environmental changes during the programming process, effectively avoiding the limitations of single-target optimization. The feedback mechanism further enhances the adaptability of the optimization strategy, enabling the programming device to continuously optimize task execution efficiency through self-adjustment, ensuring the intelligent and automated completion of LCD display programming tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The present invention is a schematic diagram of the module relationship of a burning device and burning method for a liquid crystal display screen. DETAILED DESCRIPTION

[0024] A burning device for a liquid crystal display screen comprises: a control module, a storage module, a burning interface module, a verification module, a monitoring module and a communication module; the control module comprises an embedded microcontroller (MCU) for receiving and parsing burning instructions and distributing the instructions to relevant modules; the storage module comprises an EEPROM and a high-speed RAM for storing burning programs and temporary data; the burning interface module comprises a plurality of hardware drive circuits supporting I2C, SPI and UART interfaces for physically connecting to the liquid crystal display screen and performing data burning; the verification module comprises a CRC check processor and a logic control circuit for real-time verification of the burning program. The integrity of the recorded data; the monitoring module integrates multiple status detection sensors and abnormality handling units to monitor the working status during the programming process and provide alarm signals; the communication module is composed 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, transmits instructions and collects results; 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 abnormal situations; the verification module directly feeds back the verification results to the control module.

[0025] The modular design enables efficient and reliable operation of the LCD display programming device. The embedded microcontroller (MCU), serving as the core control module, coordinates the operations of various modules, automating and intelligently implementing the programming process. The storage module utilizes a combination of EEPROM and high-speed RAM, ensuring both long-term data storage and high-speed access, improving operational efficiency. The programming interface module supports multiple transmission protocols (I2C, SPI, and UART), enhancing the device's adaptability and compatibility with LCDs of varying specifications. A CRC checksum ensures data transmission integrity, significantly reducing errors during the programming process. The monitoring module utilizes multiple sensors for real-time status monitoring, providing timely feedback on abnormal conditions and ensuring device safety. Furthermore, the communication module supports remote monitoring and log upload, making device operation and maintenance more convenient. The collaboration between modules further optimizes data flow and command execution efficiency, significantly improving overall performance.

[0026] Specifically, the burning interface module performs the burning operation through the data transmission scheduling algorithm, and the steps include: S1, dynamically assigning data block transmission priority based on feedback from the LCD 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.

[0027] Through a data transmission scheduling algorithm, the programming interface module of the present invention dynamically adjusts transmission priority based on real-time feedback from the LCD display status, significantly improving data transmission efficiency and reliability. A built-in CRC checksum unit detects and corrects errors in real time during data transmission, reducing programming failures due to data corruption. Support for multiple interface protocols (I2C, SPI, and UART) enables parallel data transmission, fully utilizing bus resources and avoiding bottlenecks caused by interface limitations. A mechanism for dynamically adjusting operating frequency effectively reduces bus occupancy, ensuring smoother data transmission and meeting high-frequency, high-load programming requirements.

[0028] Specifically, the transmission priority is calculated using the following formula: P=W i ×(1−E i ); Where P represents the data block transmission priority; W i The weight assigned in real time according to the screen status; E i is the transmission bit error rate, provided by the sensor data after correction; 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.

[0029] Using a priority calculation formula, programming data blocks are weighted based on screen status and bit error rate, ensuring that critical data is transmitted first, improving data flow efficiency and task completion speed. A throughput optimization formula incorporates dynamic factors such as data block size, latency, and verification time to precisely quantify data transmission performance, enabling the system to adjust operational strategies based on real-time conditions. This algorithm not only improves the programming device's adaptability in complex scenarios but also ensures efficient and reliable data transmission, meeting the technical requirements for high-precision programming of LCD screens.

[0030] The technical implementation steps are: The LCD's memory status sensor (e.g., an EEPROM-based read / write status detector) provides real-time feedback on the screen's free storage space. Based on this feedback, a priority allocation logic circuit dynamically assigns weights to data blocks.

[0031] The CRC check unit calculates the data integrity index based on real-time feedback of the bit error rate during data transmission. The bit error rate is provided by a signal integrity monitor on the data bus (such as a jitter detection module).

[0032] Multi-interface driver chips (such as hardware controllers that support I2C, SPI, and UART protocols) are responsible for the parallel transmission operations of actual data blocks.

[0033] Use the core frequency adjustment function of the embedded microcontroller (MCU) to adjust the operating frequency according to the current bus occupancy and optimize transmission efficiency.

[0034] W i Based on the screen status (such as the remaining space), the more free space, the higher the weight; E i The bit error rate is provided by data integrity detection. The lower the bit error rate, the higher the priority. T is the total throughput, which is used to evaluate transmission efficiency; S i is the size of the i-th data block, which is determined by the data block management module; t i Transmission delay, measured by the multi-interface transmission control unit; Δ i To verify the time, provided by the CRC verification module.

[0035] W i Used to guide priority allocation, E i Used to reduce the priority of the error data block, t i and Δ i It reflects the performance bottleneck of actual hardware transmission and verification.

[0036] Priority P directly controls the scheduling logic of the programming task, and throughput T is used to adjust the bus frequency and allocation of transmission resources, ultimately improving programming efficiency and reducing transmission error rate.

[0037] Specifically, the monitoring module adopts a real-time fault detection algorithm, including the following steps: S1, collects 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. Upload the detection data and logs to the remote server.

[0038] A monitoring module integrated with a real-time fault detection algorithm enables comprehensive status monitoring of the programming process. Voltage, current, and temperature sensors accurately capture changes in the operating environment, and a dynamic anomaly threshold calculation model adapts to different scenarios, improving the sensitivity and accuracy of fault detection. Independent hardware thread design ensures real-time capture and processing of abnormal signals, avoiding further failures 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 by equipment maintenance personnel, comprehensively enhancing the safety and reliability of the device.

[0039] Specifically, the calculation formula of the dynamic 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; is the standard deviation.

[0040] The technical implementation steps are: Voltage, current, and temperature sensors are collected in real time through the embedded ADC module, and the data is input into the MCU for analysis.

[0041] The dynamic abnormality threshold is calculated in real time by combining historical data with the MCU's built-in mathematical calculation library to generate fault detection standards.

[0042] The interrupt processing module designed with independent hardware thread will immediately trigger an interrupt when an abnormal signal is detected, stop burning and record the log.

[0043] The monitoring logs are uploaded to a remote server through a communication module (such as a Wi-Fi or Ethernet chip) for analysis by maintenance personnel.

[0044] D i It is historical abnormal data, stored by the log module; n is the number of historical data samples; is the standard deviation, reflecting the volatility of historical data; k is the correction coefficient, which is set according to the application scenario.

[0045] D i Provide abnormal reference benchmark, Reflects the fluctuation amplitude, and k adjusts the sensitivity.

[0046] The calculated threshold A t It is directly used for real-time status monitoring. If the current status exceeds the threshold, the interrupt protection mechanism is triggered to prevent hardware damage or data loss.

[0047] The dynamic threshold calculation formula integrates historical anomaly data, sample standard deviation, and correction coefficients to generate a more accurate anomaly detection standard applicable to various programming environments. This method can adjust parameters in real time based on historical data from different scenarios, making the threshold more adaptable and significantly reducing the possibility of false positives and false negatives. By incorporating standard deviation, the formula effectively reflects the volatility of fault data, helping the system accurately identify potential risks, thereby improving the stability and reliability of the programming device.

[0048] Specifically, it also includes a linkage optimization algorithm, and the implementation steps of the linkage optimization algorithm include: S1. Calculate 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 programming task priority through the feedback mechanism to ensure a balance between stability and efficiency.

[0049] The step-by-step design of the linked optimization algorithm combines metrics such as data transmission efficiency and environmental stability to comprehensively evaluate the real-time performance of programming tasks. By dynamically adjusting the control module's task scheduling strategy, the algorithm achieves intelligent resource allocation for the programming device under high load. The introduction of a feedback mechanism enables the algorithm to continuously optimize task priority allocation based on actual performance, further improving efficiency while maintaining stability. This step-by-step design provides an important technical means for the global optimization of the LCD display programming process.

[0050] Specifically, 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; At is the real-time fault detection threshold; α and β are weight parameters, which are tuned based on experience.

[0051] The linked optimization algorithm formula combines two core metrics: data transmission efficiency and dynamic fault detection threshold, to generate a comprehensive quality indicator, Q, for the programming task. This formula flexibly adjusts the optimization objective through weighting parameters based on the actual programming environment, achieving an optimal balance between efficiency and stability. The dynamic nature of the formula enables the device to quickly adapt to changing operating conditions, avoiding the limitations of optimizing a single metric. This comprehensive formula further enhances the programming device's intelligence and multitasking capabilities, providing a strong guarantee for efficient and secure programming of LCD screens.

[0052] The technical implementation steps are: The real-time transmission efficiency index is calculated using the throughput formula of the data transmission scheduling algorithm.

[0053] Combined with the dynamic threshold of the real-time fault detection algorithm, it analyzes whether the programming environment is within the safe range.

[0054] The execution order of the burning tasks is adjusted according to the comprehensive indicators through the task scheduling module of the embedded microcontroller.

[0055] After the task is completed, the scheduling strategy is adaptively optimized through the collected efficiency and stability data.

[0056] T is the data transmission efficiency index, which is calculated by the throughput formula; A t is the dynamic anomaly threshold, provided by the fault detection algorithm; α and β are weight parameters, reflecting the priority between efficiency and security.

[0057] T reflects the transmission speed, A t represents the safety margin, and α and β determine the priority optimization target.

[0058] Q is used as an input parameter of the scheduling algorithm to dynamically control the order in which tasks are executed. By prioritizing tasks with high overall quality, the burning device achieves a balance between efficiency and security.

[0059] A method for burning a liquid crystal display screen includes using the burning device for the liquid crystal display screen.

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 (MCU) 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 under abnormal circumstances; the verification module directly feeds back the verification results to the control module.

2. A burning device for a liquid crystal display according to claim 1, characterized in that: 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.

3. A burning device for a liquid crystal display screen according to claim 2, characterized in that: 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.

4. A burning device for a liquid crystal display screen according to claim 3, characterized in that: 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. Upload the detection data and logs to the remote server.

5. A burning device for a liquid crystal display screen according to claim 4, characterized in that: 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; is the standard deviation.

6. A burning device for a liquid crystal display screen according to claim 5, 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.

7. A burning device for a liquid crystal display screen according to claim 6, 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; At is the real-time fault detection threshold; α and β are weight parameters, which are tuned based on experience.

8. 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 1-7.

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