A refreshing method and system for explosion-proof display screen

Abstract

The present invention relates to the technical field of explosion-proof display screens, and in particular to a refresh method and system for explosion-proof display screens. The method comprises the following steps: collecting state parameters and basic parameters of the explosion-proof display screen, performing state feature extraction and screen feature analysis, obtaining a state feature set, self-luminous characteristic data, and a pixel unit group set, performing simulated screen reconstruction on the pixel group based on the self-luminous characteristic data, generating a simulated explosion-proof display screen model, simulating the regional thermal accumulation effect on the simulation model, obtaining simulated thermal accumulation data, and calculating the screen thermal accumulation safety threshold, evaluating the block buffer demand based on the thermal accumulation threshold and the simulation data, generating partition buffer demand data, and formulating a buffer refresh plan accordingly, obtaining a time zone buffer strategy, generating refresh timing data using the time zone buffer strategy, and performing segmented refresh control on the pixel group. The present invention realizes a safer and more reliable method for refreshing an explosion-proof display screen.

Description

Technical Field

[0001] The present invention relates to the technical field of explosion-proof display screens, and in particular to a refreshing method and system for explosion-proof display screens. Background Art

[0002] In modern industrial environments, the application of explosion-proof display screens is becoming increasingly popular, especially in flammable and explosive places such as petroleum and chemical industries. Such equipment not only needs to have stable display performance, but also needs to ensure safety in extreme environments. With the complexity of the use environment, explosion-proof display screens face many challenges, such as high temperature, humidity and electromagnetic interference, which lead to decreased display performance and shortened equipment life. Traditional display technology is often difficult to adapt to these harsh conditions. A new solution is urgently needed to improve the reliability and safety of explosion-proof display screens. When existing explosion-proof display screens are in operation, status monitoring and thermal management often rely on simple temperature sensors and empirical evaluations, lacking systematic status parameter collection and feature analysis, which leads to insufficient recognition of the operating status and potential faults of the display screen, and the display parameters cannot be adjusted in real time to adapt to environmental changes. It is difficult to effectively extract the status characteristics of the display screen, which in turn affects the management and optimization of self-luminous pixel units, resulting in unstable display effects and increased energy consumption. Summary of the invention

[0003] Based on this, it is necessary to provide a refreshing method and system for an explosion-proof display screen to solve at least one of the above technical problems.

[0004] To achieve the above object, a refreshing method for an explosion-proof display screen comprises the following steps:

[0005] Step S1: collecting state parameters of the explosion-proof display screen; extracting state features of the state parameters of the explosion-proof display screen to obtain a state feature set; analyzing the state feature set by self-luminous pixel units to generate a pixel unit group set;

[0006] Step S2: obtaining basic parameters of the explosion-proof display screen; performing screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; performing simulated screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model;

[0007] Step S3: simulating the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain simulated display screen heat accumulation data; calculating the safety threshold of the pixel unit group set based on the simulated display screen heat accumulation data to generate the screen heat accumulation safety threshold;

[0008] Step S4: evaluating the block buffering requirement of the simulated explosion-proof display screen model according to the screen heat accumulation safety threshold and the simulated display screen heat accumulation data, and obtaining the partitioned screen buffering requirement data; performing buffer refresh planning on the pixel unit group set based on the partitioned screen buffering requirement data, and generating a time zone buffering strategy;

[0009] Step S5: using the time zone buffering strategy to perform buffer refresh sorting on the pixel unit group set to generate buffer refresh timing data; performing segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

[0010] The present invention can monitor the operating status of the display screen in real time, improve the efficiency of fault prediction and maintenance, ensure the stability and safety of the equipment, and reduce the risk of unexpected downtime by collecting and analyzing the status parameters of the explosion-proof display screen. The extraction of the status feature set and the analysis of the self-luminous pixel unit provide a scientific basis for the subsequent pixel management, which can optimize the use efficiency of the pixel unit and reduce energy consumption. At the same time, it can improve the uniformity and clarity of the display effect. The simulated screen reconstruction is performed in combination with the self-luminous characteristic data. The generated simulated explosion-proof display screen model can accurately reflect the actual display effect, provide a reference for the subsequent thermal management and performance optimization, and ensure that the display screen can still maintain good display performance in a complex environment. The simulation analysis of the regional thermal accumulation effect makes it possible to identify the heat concentration area, take mitigation measures in time, and prevent the potential safety hazards caused by overheating of the equipment. The safety and reliability of high explosion-proof display screens, the calculation of safety thresholds and the assessment of partitioned screen buffering requirements can provide a scientific decision-making basis for the thermal management of display screens, ensuring that the temperature can still be effectively controlled in high temperature environments and extending the service life of the equipment. The formulation and implementation of time zone buffering strategies can optimize the refresh sequence of pixel units, reduce unnecessary energy consumption, and improve refresh efficiency, thereby realizing intelligent display control and improving user experience and visual effects. Segmented refresh control technology can be dynamically adjusted according to real-time status, improve the response speed of the display screen, ensure that information can be quickly updated in emergency situations, and enhance the practicality and flexibility of explosion-proof display screens. The systematic design of the entire refresh method improves the adaptability of explosion-proof display screens under extreme conditions, ensuring that the equipment can operate stably in various environments and effectively support the needs of industrial applications.

[0011] Preferably, step S1 comprises the following steps:

[0012] Step S11: collect the real-time status of the explosion-proof display screen to obtain the status parameters of the explosion-proof display screen; and timestamp the status parameters of the explosion-proof display screen to obtain time series status data;

[0013] Step S12: classify the state parameters of the time series state data to generate state group data; divide the state group data into value ranges to obtain state value intervals;

[0014] Step S13: extracting interval state features of the time series state data based on the state value interval to obtain a state feature set;

[0015] Step S14: locating pixels of the state feature set to obtain a pixel coordinate matrix; performing brightness distribution analysis on the pixel coordinate matrix to generate a brightness distribution map;

[0016] Step S15: performing adjacent pixel association identification on the brightness distribution map to obtain a pixel association network; performing pixel unit group construction on the pixel association network set to generate a pixel unit group set.

[0017] The present invention combines real-time state acquisition with timestamp marking to ensure that the state parameters of the explosion-proof display screen can be accurately recorded and analyzed, providing a reliable basis for subsequent data processing and fault diagnosis. The state grouping data generated by state parameter classification effectively organizes different types of state information, facilitates subsequent analysis and processing, and improves data utilization efficiency. The implementation of value range division ensures the accuracy of the state value interval, facilitates subsequent feature extraction and analysis, and improves the scientificity and effectiveness of data processing. The interval state feature extraction based on the state value interval can extract key feature information, help identify the operating status and potential problems of the explosion-proof display screen, and improve the fault warning capability. The accurate implementation of pixel positioning ensures that the coordinate information of each pixel can be accurately obtained, providing the necessary data support for the subsequent brightness analysis and display quality evaluation. The completion of the brightness distribution analysis and the generated brightness distribution map can intuitively reflect the brightness uniformity of the display screen, help identify areas with uneven brightness, and facilitate targeted adjustments and optimizations. The implementation of adjacent pixel association recognition enables the effective capture of the relationship between pixels and the formation of a pixel association network, providing a scientific basis for subsequent group construction and management. The construction of pixel unit group sets can improve the efficiency of pixel management, facilitate coordination and optimization during display, and ensure that the explosion-proof display screen can still maintain a stable display effect in complex environments.

[0018] Preferably, step S15 comprises the following steps:

[0019] Step S151: performing adjacent pixel identification on the brightness distribution map to obtain an adjacent pixel set; performing inter-group association identification on the adjacent pixel set to generate an adjacent pixel group relationship;

[0020] Step S152: performing association network connection on the relationship between adjacent pixel groups to obtain a pixel association network;

[0021] Step S153: identifying pixel unit boundaries of the brightness distribution map according to the pixel association network to obtain pixel unit boundary data;

[0022] Step S154: performing region division on the pixel unit boundary data to obtain region grouping data; performing brightness feature clustering on the region grouping data to generate brightness feature groups;

[0023] Step S155: Calculate the brightness power consumption of the brightness feature group to obtain power consumption distribution data; and integrate the pixel association network into groups based on the power consumption distribution data to generate a pixel unit group set.

[0024] The present invention can effectively determine the relationship between adjacent pixels in the brightness distribution map through the implementation of adjacent pixel recognition, lay the foundation for subsequent pixel association analysis, and improve the accuracy and effectiveness of data processing. The completion of inter-group association recognition and the generated inter-group relationship of adjacent pixels provide detailed information for the mutual influence between pixels, which is convenient for understanding the laws and characteristics of brightness distribution. The realization of association network connection and the formed pixel association network can intuitively reflect the relationship between pixels, which is convenient for subsequent analysis and optimization and improves the stability of display effect. The pixel unit boundary recognition performed according to the pixel association network ensures that the boundary of each pixel unit can be accurately identified, which is convenient for subsequent area division and feature analysis. The feature analysis provides key data. The implementation of regional division effectively divides the display screen into multiple areas, which is convenient for targeted brightness feature analysis and optimization, and improves the uniformity of the overall display effect. The completion of brightness feature clustering, the generated brightness feature group can identify areas with similar brightness, and provides a scientific basis for the brightness adjustment and management of the display screen. The accurate implementation of brightness power consumption calculation, the power consumption distribution data obtained provides an important reference for subsequent energy efficiency optimization, and ensures the energy consumption control of the explosion-proof display screen during operation. The pixel association network group integration based on power consumption distribution data can improve the efficiency of pixel management, optimize the power consumption distribution of the display screen, and realize intelligent energy efficiency management.

[0025] Preferably, step S2 comprises the following steps:

[0026] Step S21: acquiring basic parameters of the explosion-proof display screen; performing brightness response simulation on the basic parameters of the explosion-proof display screen to obtain brightness response simulation data;

[0027] Step S22: performing response curve fitting on the brightness response simulation data to obtain a brightness characteristic curve; performing characteristic extraction on the brightness characteristic curve to generate brightness characteristic data;

[0028] Step S23: Analyze the power consumption characteristics of the basic parameters of the explosion-proof display screen to obtain power consumption distribution data; perform fusion modeling on the brightness characteristic data and the power consumption distribution data to generate a comprehensive characteristic model;

[0029] Step S24: Calculate the pixel luminous efficiency of the comprehensive characteristic model to obtain self-luminous efficiency data; divide the self-luminous efficiency data into brightness gradients to obtain brightness level data;

[0030] Step S25: analyzing the self-luminous characteristics of the comprehensive characteristic model based on the brightness level data to obtain self-luminous characteristic data;

[0031] Step S26: Perform spatial distribution mapping on the pixel unit group set to obtain pixel layout data; perform simulated screen reconstruction on the pixel layout data based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model.

[0032] The present invention can provide brightness performance data of explosion-proof display screens in various environments through the combination of basic parameter acquisition and brightness response simulation, ensuring that actual needs can be met during design and application. The implementation of response curve fitting ensures the accuracy of the brightness characteristic curve, facilitates subsequent analysis and optimization, and improves the accuracy and consistency of brightness adjustment. The brightness characteristic data generated by characteristic extraction provides a key indicator for the brightness management and adjustment of the display screen, which helps to achieve more efficient brightness control. The effective implementation of power consumption characteristic analysis can identify the energy consumption of explosion-proof display screens under different working conditions, providing an important basis for energy efficiency optimization. The fusion modeling of brightness characteristic data and power consumption distribution data forms a comprehensive characteristic model that can fully reflect the performance of the display screen and provide support for subsequent optimization design. To provide support, the completion of the pixel luminous efficiency calculation, the obtained self-luminous efficiency data provides a quantitative indicator for the energy efficiency improvement of the display screen, which helps to reduce energy consumption in practical applications. The implementation of brightness gradient division ensures the accuracy of brightness level data, and provides a scientific basis for subsequent brightness adjustment and display effect optimization. The completion of self-luminous characteristic analysis can provide an in-depth understanding of the adaptability of the display screen in complex environments, ensuring good performance in actual use. The implementation of spatial distribution mapping ensures the accuracy of pixel layout data, which provides a necessary foundation for the design and optimization of the display screen. The simulated screen reconstruction based on the self-luminous characteristic data and the generated simulated explosion-proof display screen model can effectively predict the actual display effect and provide a reliable reference for the application and improvement of the equipment.

[0033] Preferably, step S3 comprises the following steps:

[0034] Step S31: dividing the simulated explosion-proof display screen model into blocks to obtain a regional distribution map; locating the heat source on the regional distribution map to generate heat source position data;

[0035] Step S32: performing heat diffusion calculation on the simulated explosion-proof display screen model based on the heat source position data to generate a heat diffusion pattern diagram; extending the heat diffusion pattern diagram in the time dimension to obtain time series thermal data;

[0036] Step S33: performing regional superposition calculation on the time series thermal data to obtain cumulative heat data; performing temperature distribution mapping on the simulated explosion-proof display screen model based on the cumulative heat data to generate a temperature distribution diagram;

[0037] Step S34: identifying critical points of the temperature distribution diagram to obtain critical temperature data; calculating safety margins of the critical temperature data to obtain safety boundary values;

[0038] Step S35: performing regional risk assessment on the pixel unit group set according to the safety boundary value to obtain risk level data; performing thermal accumulation safety value mapping on the accumulated heat data based on the risk level data to generate a screen thermal accumulation safety threshold.

[0039] The present invention simulates the block division of the explosion-proof display screen model, and the generated regional distribution map can accurately reflect the thermal characteristics of each area of ​​the display screen, providing basic data for subsequent heat source positioning. The implementation of heat source positioning and the generated heat source position data help identify the heat source inside the display screen, which is conducive to targeted thermal management and heat dissipation design. The effective execution of heat diffusion calculation and the generated heat diffusion pattern diagram can intuitively display the heat propagation path in the display screen, providing a reference for optimizing heat dissipation design. The generation of time-series thermal data facilitates the analysis of the trend of heat changes over time, which helps to predict the temperature changes of the display screen under different working conditions. The superposition calculation of accumulated heat data ensures that the heat load of each area of ​​the display screen can be fully evaluated, providing a scientific basis for the formulation of temperature control strategies. The implementation of temperature distribution mapping, the generated temperature distribution map can intuitively display the temperature conditions of each area of ​​the display screen, and provide necessary data support for subsequent safety assessments. The accuracy of critical point identification, the critical temperature data obtained provides an important indicator for the safe operation of the explosion-proof display screen, and helps to warn of potential overheating risks in advance. The completion of the safety margin calculation, the generated safety boundary value provides a safety guarantee for the operation of the display screen, ensuring that it can remain stable under high temperature conditions. The implementation of regional risk assessment, the generated risk level data can effectively identify high-risk areas and provide guidance for maintenance and management. The accuracy of thermal accumulation safety value mapping enables the operation of explosion-proof display screens to provide a clear safety threshold, ensuring the safety and reliability of equipment in complex environments.

[0040] Preferably, step S4 comprises the following steps:

[0041] Step S41: performing a difference comparison process on the screen thermal accumulation safety threshold and the simulated display screen thermal accumulation data to obtain thermal accumulation comparison difference data; performing a block buffer requirement calculation on the simulated explosion-proof display screen model based on the thermal accumulation comparison difference data to generate buffer requirement data;

[0042] Step S42: Based on the buffer demand data, the heat accumulation data of the simulated display screen is evaluated for heat level to obtain heat level data; and the simulated explosion-proof display screen model is marked for block classification according to the heat level data to obtain block classification data;

[0043] Step S43: sorting the buffer requirement data in a hierarchical time sequence based on the block hierarchical data to generate partitioned screen buffer requirement data;

[0044] Step S44: performing time window allocation on the partition screen buffering demand data to obtain buffering time allocation data; performing cooling cycle calculation on the buffering time allocation data to obtain cooling cycle data;

[0045] Step S45: Associating and fusing the buffer time allocation data and the cooling cycle data to obtain refresh time data; performing buffer refresh planning for the pixel unit group set based on the refresh time data to generate a time zone buffer strategy.

[0046] The present invention compares the difference between the thermal accumulation safety threshold of the screen and the thermal accumulation data of the simulated display screen, and the generated thermal accumulation comparison difference data can clearly identify the area where the heat exceeds the standard, providing an accurate basis for the subsequent buffer demand calculation. The block buffer demand calculation based on the thermal accumulation comparison difference data can effectively evaluate the heat treatment requirements of different areas, ensuring the safe operation of the display screen under high temperature conditions. The implementation of thermal grade assessment and the obtained thermal grade data provide a clear classification of the heat load of each area of ​​the display screen, which is helpful to optimize the thermal management strategy. The execution of block hierarchical marking ensures that high-risk areas that need to be focused on can be accurately identified, providing guidance for subsequent maintenance and management. The implementation of hierarchical time sequence sorting makes the buffer demand data The data can be sorted by priority to ensure that the areas that need cooling the most can be processed first under high temperature conditions. The time window allocation is effectively executed to allocate a reasonable cooling time for each buffer demand to ensure that heat can be effectively released to prevent equipment overheating. The completion of the cooling cycle calculation ensures that heat is effectively managed within the specified time, reduces operational risks, and improves equipment safety and stability. The association and fusion of buffer time allocation data and cooling cycle data, and the generated refresh time data can optimize the refresh strategy of pixel units and improve the response speed and display effect of the display. The buffer refresh planning based on the refresh time data and the generated time zone buffer strategy can realize intelligent thermal management and refresh control, and improve the operating efficiency and safety of the display in complex environments.

[0047] Preferably, step S44 includes the following steps:

[0048] Step S441: setting a time base for the partition screen buffer demand data to generate base time data; allocating block durations for the base time data to generate duration allocation data;

[0049] Step S442: dividing the partition screen buffering demand data into window boundaries based on the duration allocation data to obtain buffering time allocation data;

[0050] Step S443: performing heat dissipation rate analysis on the buffer time allocation data to obtain heat dissipation rate parameters; performing cooling time estimation on the heat dissipation rate parameters to generate cooling time data;

[0051] Step S444: dividing the buffer time allocation data into periods based on the cooling time data to obtain a preliminary periodic scheme; performing safety margin evaluation on the preliminary periodic scheme to obtain margin data;

[0052] Step S445: Optimize and adjust the preliminary cycle plan according to the margin data to generate cooling cycle data.

[0053] The present invention sets the time base of the buffer demand data of the partitioned screen, and the generated base time data provides a clear reference framework for the subsequent duration allocation, ensuring the scientificity and rationality of the buffer operation. The implementation of the block duration allocation ensures that each buffer block can obtain appropriate cooling time according to actual needs, thereby improving the heat dissipation efficiency. The determined buffer time allocation data is divided by the window boundary, which helps to optimize the cooling process of each buffer and ensure that the heat can be effectively released. The heat dissipation rate analysis is carried out, and the generated heat dissipation rate parameters provide key data for the subsequent cooling time estimation, which helps to accurately predict the cooling effect. The implementation of the cooling time estimation and the generated cooling time data can ensure that each area can be cooled down in time when needed, reducing the risks caused by overheating. The period division of the preliminary cycle plan ensures the systematic nature of the cooling process, facilitates management and adjustment, and improves the efficiency of thermal management. The execution of the safety margin assessment and the obtained margin data provide a guarantee for the safety of the cooling cycle plan, ensuring that the stability of the equipment can be maintained under extreme conditions. The optimization and adjustment of the preliminary cycle plan and the generated cooling cycle data can better adapt to the actual operation needs and improve the overall cooling effect and the safety of the display screen.

[0054] Preferably, step S45 includes the following steps:

[0055] Step S451: matching and comparing the buffer time allocation data and the cooling cycle data to generate time matching data; performing conflict detection and analysis on the time matching data to obtain conflict point data;

[0056] Step S452: performing conflict avoidance adjustment on the buffer time allocation data based on the conflict point data to obtain a coordination time plan;

[0057] Step S453: merging time periods of the coordinated time plan to obtain merged time series data; removing overlapping areas of the merged time series data to generate non-overlapping time series data;

[0058] Step S454: performing time series fusion on the merged time series data according to the non-overlapping time series data to obtain refresh time data; performing pixel group mapping on the refresh time data and the pixel unit group set to obtain pixel mapping data;

[0059] Step S455: Designing refresh rules for the pixel mapping data to obtain a refresh rule set; arranging the execution order of the pixel unit group set based on the refresh rule set to generate a time zone buffer strategy.

[0060] The present invention generates time matching data by matching and contrasting buffer time allocation data with cooling cycle data, which can effectively identify the adaptability of each time period and provide a basis for subsequent conflict detection. The implementation of conflict detection analysis and the obtained conflict point data provide clear guidance for optimizing cooling and buffering strategies, ensuring the coordination between each time period and the execution of conflict avoidance adjustment. The generated coordination time scheme can effectively avoid time conflicts between different buffering requirements and improve the operating efficiency of the system. The implementation of time period merging and the obtained merged time series data can simplify time management, reduce complexity, and facilitate subsequent processing and execution. The effective implementation of overlapping area elimination and the generated non-overlapping time series data ensure that each The independence of each time period can avoid resource conflicts and improve the stability of the system. The completion of timing fusion enables the refresh time data to comprehensively consider the needs of each time period, optimize the refresh strategy, improve the uniformity of the display effect, and generate pixel mapping data to ensure that the refresh strategy can be accurately applied to specific pixel units, thereby improving the flexibility and efficiency of refresh control. The implementation of refresh rule design and the obtained refresh rule set provide clear operational guidance for subsequent execution, ensuring that each pixel unit can be refreshed in the optimal order. The completion of execution sequence arrangement and the generated time zone buffer strategy can achieve efficient pixel refresh and improve the response speed and display quality of explosion-proof display screens in complex environments.

[0061] Preferably, step S5 comprises the following steps:

[0062] Step S51: Decomposing the time zone buffer strategy into time nodes to obtain time nodes; associating the time nodes and pixel unit group sets into pixel groups to obtain pixel group timing data;

[0063] Step S52: sequentially optimizing the pixel unit group set based on the pixel group timing data to obtain buffer refresh timing data; segmenting the buffer refresh timing data into tasks to generate task segmentation data;

[0064] Step S53: performing instruction conversion on the task segment data to obtain a basic instruction set; performing timing synchronization processing on the basic instruction set to generate a timing synchronization instruction;

[0065] Step S54: performing segmented refresh control on the pixel unit group set according to the timing synchronization instruction to implement an intelligent refresh method for the explosion-proof display screen.

[0066] The present invention decomposes the time nodes of the time zone buffer strategy, and the generated time nodes can provide a clear time frame for subsequent refresh tasks, ensuring the coordination and efficiency of various operations. The implementation of pixel group association, the obtained pixel group timing data can effectively identify the relationship between different pixels, and provide a basis for subsequent sequence optimization. The execution of sequence optimization, the generated buffer refresh timing data can ensure that the pixel units are refreshed in the optimal order, and improve the fluency and consistency of the display effect. The implementation of task segmentation ensures that the tasks can be reasonably divided, which is convenient for management and scheduling, and improves the processing efficiency of the system. The effective implementation of instruction conversion, the obtained basic instruction set provides necessary operation instructions for subsequent execution, ensuring that the system can work according to the predetermined logic. The completion of timing synchronization processing, the generated timing synchronization instructions can ensure the coordination between various operations, improve the synchronization and stability of the refresh process, and the application of segmented refresh control can realize accurate control of each pixel unit, ensuring the stable performance of the explosion-proof display screen in various environments. The intelligent design of the overall refresh strategy improves the response speed and display quality of the explosion-proof display screen, and ensures that it can still maintain a good operating state under extreme conditions.

[0067] The present invention also provides a refreshing system for an explosion-proof display screen, which is used to execute the refreshing method for an explosion-proof display screen as described above. The refreshing system for an explosion-proof display screen comprises:

[0068] The pixel unit analysis module is used to collect the state parameters of the explosion-proof display screen; extract the state characteristics of the state parameters of the explosion-proof display screen to obtain a state characteristic set; analyze the state characteristic set by self-luminous pixel units to generate a pixel unit group set;

[0069] The simulation screen reconstruction module is used to obtain the basic parameters of the explosion-proof display screen; perform screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; perform simulation screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulation explosion-proof display screen model;

[0070] The safety threshold calculation module is used to simulate the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain the heat accumulation data of the simulated display screen; based on the heat accumulation data of the simulated display screen, the safety threshold of the pixel unit group set is calculated to generate the screen heat accumulation safety threshold;

[0071] The buffer refresh planning module is used to evaluate the block buffer demand of the simulated explosion-proof display model according to the screen thermal accumulation safety threshold and the simulated display thermal accumulation data, and obtain the partition screen buffer demand data; based on the partition screen buffer demand data, the buffer refresh planning is performed on the pixel unit group set to generate the time zone buffer strategy;

[0072] The buffer refresh control module is used to perform buffer refresh sorting on the pixel unit group set using the time zone buffer strategy to generate buffer refresh timing data; and perform segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

[0073] Through the implementation of the pixel unit analysis module, the present invention can effectively collect and analyze the state parameters of the explosion-proof display screen, and provide basic data for subsequent state feature extraction and pixel management. The generation of the state feature set ensures a comprehensive understanding of the working state of the display screen, which helps to timely identify potential faults and improve the maintenance efficiency of the equipment. The implementation of the self-luminous pixel unit analysis and the generated pixel unit group set can realize the refined management of the display screen and improve the uniformity and stability of the display effect. The application of the simulation screen reconstruction module enables the generation of accurate self-luminous characteristic data based on basic parameter analysis, which provides an important basis for the optimal design of the display screen. The analysis of the simulated display screen thermal accumulation effect can identify the heat distribution of the display screen and provide a scientific basis for the subsequent safety threshold calculation. The calculation of the curtain heat accumulation safety threshold makes it possible to clarify the safe operating range of the display screen in different working environments, ensuring the safety and reliability of the equipment. The effective implementation of the buffer refresh planning module can make scientific evaluations based on the heat accumulation data, optimize the operation strategy of the display screen, and improve its adaptability in high temperature environments. The generation of the time zone buffer strategy ensures that the refresh sequence of pixel units can be reasonably arranged in different time periods, improving the response speed and display quality of the display screen. The execution of the buffer refresh control module ensures that the refresh process of the pixel unit can be accurately controlled, reducing the risks caused by overheating and improving the overall stability of the equipment. The intelligent design of the entire refresh system can achieve efficient and accurate display control, ensuring that the explosion-proof display screen can still operate stably in various complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A schematic diagram of a step flow of a refreshing method for an explosion-proof display screen;

[0075] Figure 2 for Figure 1 Detailed implementation steps of step S2 in the flowchart;

[0076] Figure 3 for Figure 1Detailed implementation steps of step S3 in FIG.

[0077] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0078] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0079] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0080] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0081] To achieve this, please refer to Figures 1 to 3 , a refreshing method for an explosion-proof display screen, comprising the following steps:

[0082] Step S1: collecting state parameters of the explosion-proof display screen; extracting state features of the state parameters of the explosion-proof display screen to obtain a state feature set; analyzing the state feature set by self-luminous pixel units to generate a pixel unit group set;

[0083] Step S2: obtaining basic parameters of the explosion-proof display screen; performing screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; performing simulated screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model;

[0084] Step S3: simulating the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain simulated display screen heat accumulation data; calculating the safety threshold of the pixel unit group set based on the simulated display screen heat accumulation data to generate the screen heat accumulation safety threshold;

[0085] Step S4: evaluating the block buffering requirement of the simulated explosion-proof display screen model according to the screen heat accumulation safety threshold and the simulated display screen heat accumulation data, and obtaining the partitioned screen buffering requirement data; performing buffer refresh planning on the pixel unit group set based on the partitioned screen buffering requirement data, and generating a time zone buffering strategy;

[0086] Step S5: using the time zone buffering strategy to perform buffer refresh sorting on the pixel unit group set to generate buffer refresh timing data; performing segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

[0087] The present invention can monitor the operating status of the display screen in real time, improve the efficiency of fault prediction and maintenance, ensure the stability and safety of the equipment, and reduce the risk of unexpected downtime by collecting and analyzing the status parameters of the explosion-proof display screen. The extraction of the status feature set and the analysis of the self-luminous pixel unit provide a scientific basis for the subsequent pixel management, which can optimize the use efficiency of the pixel unit and reduce energy consumption. At the same time, it can improve the uniformity and clarity of the display effect. The simulated screen reconstruction is performed in combination with the self-luminous characteristic data. The generated simulated explosion-proof display screen model can accurately reflect the actual display effect, provide a reference for the subsequent thermal management and performance optimization, and ensure that the display screen can still maintain good display performance in a complex environment. The simulation analysis of the regional thermal accumulation effect makes it possible to identify the heat concentration area, take mitigation measures in time, and prevent the potential safety hazards caused by overheating of the equipment. The safety and reliability of high explosion-proof display screens, the calculation of safety thresholds and the assessment of partitioned screen buffering requirements can provide a scientific decision-making basis for the thermal management of display screens, ensuring that the temperature can still be effectively controlled in high temperature environments and extending the service life of the equipment. The formulation and implementation of time zone buffering strategies can optimize the refresh sequence of pixel units, reduce unnecessary energy consumption, and improve refresh efficiency, thereby realizing intelligent display control and improving user experience and visual effects. Segmented refresh control technology can be dynamically adjusted according to real-time status, improve the response speed of the display screen, ensure that information can be quickly updated in emergency situations, and enhance the practicality and flexibility of explosion-proof display screens. The systematic design of the entire refresh method improves the adaptability of explosion-proof display screens under extreme conditions, ensuring that the equipment can operate stably in various environments and effectively support the needs of industrial applications.

[0088] In the embodiment of the present invention, refer to Figure 1, is a schematic flow chart of a refreshing method for an explosion-proof display screen of the present invention. In this example, the refreshing method for an explosion-proof display screen includes the following steps:

[0089] Step S1: collecting state parameters of the explosion-proof display screen; extracting state features of the state parameters of the explosion-proof display screen to obtain a state feature set; analyzing the state feature set by self-luminous pixel units to generate a pixel unit group set;

[0090] In this embodiment, the state parameters of the explosion-proof display screen are collected using a high-precision sensor that can monitor key indicators such as temperature, humidity, current, and brightness in real time. Through the data acquisition module, the state parameters acquired by the sensor are transmitted to the data processing unit for preliminary data cleaning and filtering to ensure the accuracy and reliability of the data. State feature extraction analyzes the cleaned data by applying feature extraction algorithms, such as principal component analysis (PCA), to identify the main state features, including but not limited to the temperature change rate and brightness fluctuation amplitude. These features are then stored as a state feature set. Next, the self-luminous pixel unit analysis uses image processing technology to analyze the state feature set, identify the state of each pixel unit, and group them according to their light emission characteristics to form a pixel unit group set. This process ensures the structuring and operability of the data, facilitating the implementation of subsequent analysis and decision-making.

[0091] Step S2: obtaining basic parameters of the explosion-proof display screen; performing screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; performing simulated screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model;

[0092] In this embodiment, the basic parameters of the explosion-proof display screen are obtained through special measuring instruments, such as spectrometers and colorimeters, to comprehensively evaluate the physical size, resolution and color performance of the display screen. The screen characteristics analysis uses computer simulation software to input basic parameters to analyze the self-luminous characteristic data, including indicators such as luminous efficiency, color gamut and brightness uniformity. The software uses finite element analysis methods to simulate the screen characteristics under different working conditions and output detailed self-luminous characteristic data. Subsequently, based on this data, the simulation modeling tool is used to reconstruct the pixel unit group set to generate a simulated explosion-proof display screen model. This model accurately reflects the performance of the actual display screen in various environments and provides a basis for subsequent thermal management and performance optimization.

[0093] Step S3: simulating the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain simulated display screen heat accumulation data; calculating the safety threshold of the pixel unit group set based on the simulated display screen heat accumulation data to generate the screen heat accumulation safety threshold;

[0094] In this embodiment, the regional heat accumulation effect simulation of the explosion-proof display screen model uses heat conduction analysis software, inputs the geometric parameters and working conditions of the model, and simulates the heat distribution in each area. The software generates heat accumulation data of the simulated display screen by solving the heat conduction equation, including the temperature change and heat distribution diagram of each area. Based on this data, the safety threshold is calculated to determine the safe temperature limit of each pixel unit under different operating conditions, and the risk assessment model is used to generate the screen heat accumulation safety threshold. This process ensures the safety of the display screen in a high temperature environment and provides a scientific basis for the subsequent buffer demand assessment.

[0095] Step S4: evaluating the block buffering requirement of the simulated explosion-proof display screen model according to the screen heat accumulation safety threshold and the simulated display screen heat accumulation data, and obtaining the partitioned screen buffering requirement data; performing buffer refresh planning on the pixel unit group set based on the partitioned screen buffering requirement data, and generating a time zone buffering strategy;

[0096] In this embodiment, the block buffer demand assessment is performed based on the screen heat accumulation safety threshold and the simulated display screen heat accumulation data. The simulated explosion-proof display screen model is divided into multiple areas by the partition analysis method, and the heat accumulation of each area is evaluated. Through the algorithm model, the buffer demand of each area is determined, and the partition screen buffer demand data is generated. Based on this data, the optimization algorithm is used to plan the buffer refresh of the pixel unit group set to form a time zone buffer strategy. This strategy dynamically adjusts the refresh frequency according to the heat load of different areas to ensure that the normal operation of the display screen can be maintained under high temperature conditions and optimize the thermal management efficiency.

[0097] Step S5: using the time zone buffering strategy to perform buffer refresh sorting on the pixel unit group set to generate buffer refresh timing data; performing segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

[0098] In this embodiment, the buffer refresh sorting of the pixel unit group set is performed using the time zone buffer strategy. The buffer demand data is combined with the time zone strategy through the data processing system to generate buffer refresh timing data. The data lists the refresh order and time interval of each pixel unit in detail to ensure that the necessary buffer refresh operations are completed in each time period. Subsequently, based on the buffer refresh timing data, the pixel unit group set is subject to segmented refresh control, and a control algorithm is used to ensure that each pixel completes the refresh task within the specified time. This intelligent refresh method improves the response speed and display quality of the display screen, while effectively reducing the risk of failure caused by overheating, ensuring the stability and safety of the explosion-proof display screen in various application scenarios.

[0099] Preferably, step S1 comprises the following steps:

[0100] Step S11: collect the real-time status of the explosion-proof display screen to obtain the status parameters of the explosion-proof display screen; and timestamp the status parameters of the explosion-proof display screen to obtain time series status data;

[0101] Step S12: classify the state parameters of the time series state data to generate state group data; divide the state group data into value ranges to obtain state value intervals;

[0102] Step S13: extracting interval state features of the time series state data based on the state value interval to obtain a state feature set;

[0103] Step S14: locating pixels of the state feature set to obtain a pixel coordinate matrix; performing brightness distribution analysis on the pixel coordinate matrix to generate a brightness distribution map;

[0104] Step S15: performing adjacent pixel association identification on the brightness distribution map to obtain a pixel association network; performing pixel unit group construction on the pixel association network set to generate a pixel unit group set.

[0105] In this embodiment, a high-precision sensor network is used for real-time state acquisition of the explosion-proof display screen, and the network includes a temperature sensor, a humidity sensor, a current sensor, and a light intensity sensor. These sensors can monitor the state parameters of the screen in real time under different environmental conditions. The data acquisition module is responsible for transmitting the data collected by the sensor to the data processing unit through a wireless or wired connection, and the data processing unit performs preliminary processing on the received state parameters to eliminate noise and abnormal values. The timestamp tag generates time series state data by adding the current system time when each state parameter is recorded. The classification of the time series state data adopts a data classification algorithm to divide the state parameters into different categories, such as temperature, brightness, current, etc. This classification process can effectively identify different types of state information. The generated state grouping data provides a structured representation for the state parameters of each category, which is convenient for further analysis. The value range division divides the state parameters into multiple intervals by setting a threshold. For example, the temperature parameter is divided into a low temperature interval, a medium temperature interval, and a high temperature interval. This process ensures that the value interval of each state parameter is clear, which is convenient for subsequent feature extraction and analysis. The interval state feature extraction of the time series state data is performed based on the state value interval, and the interval feature extraction algorithm is used to extract the change characteristics of each state parameter in different time periods. This process includes calculating statistical features such as the mean, variance, and extreme value in each interval to form a state feature set. The state feature set not only reflects the overall performance of each state parameter, but also reveals potential abnormal changes, providing data support for subsequent pixel location and brightness analysis. The state feature set is pixel-located, and each pixel of the display screen is identified using a coordinate system to generate a pixel coordinate matrix. The matrix records the specific location and related state features of each pixel. Through the data processing algorithm, the state features can be associated with the corresponding pixel position. The brightness distribution analysis uses image processing technology to analyze the brightness information in the pixel coordinate matrix and generate a brightness distribution map. The brightness distribution map intuitively displays the brightness level of each area on the display screen, providing an important basis for the subsequent adjacent pixel association identification. After the adjacent pixel association identification, the brightness distribution map uses the adjacency matrix method in graph theory to identify the association relationship between adjacent pixels and generate a pixel association network. The network shows the relationship between each pixel and its adjacent pixels, which can effectively capture the mutual influence of brightness changes. Pixel unit groups are constructed based on the pixel association network, and the mutually associated pixel units are divided into several groups through the clustering algorithm to generate a pixel unit group set. This group set provides structured data support for subsequent brightness adjustment and fault detection, ensuring efficiency and accuracy in the management and optimization of the display.

[0106] Preferably, step S15 comprises the following steps:

[0107] Step S151: performing adjacent pixel identification on the brightness distribution map to obtain an adjacent pixel set; performing inter-group association identification on the adjacent pixel set to generate an adjacent pixel group relationship;

[0108] Step S152: performing association network connection on the relationship between adjacent pixel groups to obtain a pixel association network;

[0109] Step S153: identifying pixel unit boundaries of the brightness distribution map according to the pixel association network to obtain pixel unit boundary data;

[0110] Step S154: performing region division on the pixel unit boundary data to obtain region grouping data; performing brightness feature clustering on the region grouping data to generate brightness feature groups;

[0111] Step S155: Calculate the brightness power consumption of the brightness feature group to obtain power consumption distribution data; and integrate the pixel association network into groups based on the power consumption distribution data to generate a pixel unit group set.

[0112] In this embodiment, the image processing algorithm is used to identify adjacent pixels in the brightness distribution map, and the edge detection technology, such as the Canny algorithm, is specifically used to identify pixels with obvious brightness changes. By defining the standards of adjacent pixels, such as pixels that are not more than a certain threshold in a two-dimensional space, a set of adjacent pixels is generated. After the adjacent pixel set is identified through inter-group association, a clustering algorithm (such as K-means) is applied to classify adjacent pixels into different groups, identify the relationship between these groups, and generate the relationship between adjacent pixel groups. This process ensures that the brightness change trend of adjacent areas can be accurately captured in the brightness distribution of the display screen, and provides basic data for the subsequent construction of the pixel association network. The relationship between adjacent pixel groups is connected through the graph structure in graph theory. Each pixel group is defined as a node in the network. There are edge connections between the nodes, indicating the brightness association between the groups. The connection relationship between pixel groups is represented by the adjacency matrix, and the depth-first search or breadth-first search algorithm is used to traverse the entire network to ensure that the connection relationship between all groups is identified and recorded. The generated pixel association network provides structured data for subsequent brightness boundary identification, which can clearly show the mutual influence and dependency between pixel groups, and ensure the accuracy and efficiency of subsequent processing. The pixel unit boundary of the brightness distribution map is identified according to the pixel association network. The watershed algorithm is used to identify the convergence point of water flow by treating the brightness map as a topographic map to determine the boundary. The algorithm first preprocesses the brightness distribution map, removes noise and performs smoothing, then obtains preliminary regions through threshold segmentation, and finally uses the watershed transform to extract the boundary of each pixel unit and generate pixel unit boundary data. This process ensures that the boundary of each pixel unit is clear and discernible, providing a reliable basis for subsequent regional division. The pixel unit boundary data is divided into regions, and the division algorithm based on the region growing method is used to merge adjacent pixel units into logical regions to ensure that the brightness characteristics in each region are similar. The generated regional grouping data is further used for brightness feature clustering. Hierarchical clustering or K-means clustering algorithm is applied to group according to the average brightness, variance and other characteristics of each region to generate brightness feature groups. This process can effectively identify the brightness mode on the display screen and lay the foundation for subsequent power consumption calculation. The brightness power consumption of the brightness feature group is calculated. The power consumption model is used to calculate the power consumption of each pixel unit according to the brightness data of each region and the working characteristics of the display screen. This calculation process needs to consider the relationship between brightness and power consumption, which is usually fitted through a linear regression model to generate power consumption distribution data. Based on the power consumption distribution data, the pixel association network is grouped and the graph aggregation algorithm is applied to aggregate pixel units with similar power consumption into groups to generate the final pixel unit group set. This step ensures that the power consumption can be effectively managed and controlled in the refresh strategy of the display screen, thereby improving the energy efficiency and stability of the explosion-proof display screen.

[0113] Preferably, step S2 comprises the following steps:

[0114] Step S21: acquiring basic parameters of the explosion-proof display screen; performing brightness response simulation on the basic parameters of the explosion-proof display screen to obtain brightness response simulation data;

[0115] Step S22: performing response curve fitting on the brightness response simulation data to obtain a brightness characteristic curve; performing characteristic extraction on the brightness characteristic curve to generate brightness characteristic data;

[0116] Step S23: Analyze the power consumption characteristics of the basic parameters of the explosion-proof display screen to obtain power consumption distribution data; perform fusion modeling on the brightness characteristic data and the power consumption distribution data to generate a comprehensive characteristic model;

[0117] Step S24: Calculate the pixel luminous efficiency of the comprehensive characteristic model to obtain self-luminous efficiency data; divide the self-luminous efficiency data into brightness gradients to obtain brightness level data;

[0118] Step S25: analyzing the self-luminous characteristics of the comprehensive characteristic model based on the brightness level data to obtain self-luminous characteristic data;

[0119] Step S26: Perform spatial distribution mapping on the pixel unit group set to obtain pixel layout data; perform simulated screen reconstruction on the pixel layout data based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model.

[0120] As an example of the present invention, see Figure 2 In this example, step S2 includes:

[0121] Step S2 includes the following steps:

[0122] Step S21: acquiring basic parameters of the explosion-proof display screen; performing brightness response simulation on the basic parameters of the explosion-proof display screen to obtain brightness response simulation data;

[0123] In this embodiment, the basic parameters of the explosion-proof display screen are obtained through professional measuring equipment, including a spectrometer and a brightness meter, which can accurately measure the brightness response of the display screen under different working conditions. During the measurement process, the display screen is gradually adjusted to different input currents and voltages, and the corresponding brightness values ​​are recorded to ensure that the acquired data is extensive and representative. On this basis, a brightness response simulation is performed, and a numerical simulation method is used to establish a brightness response model based on the measured basic parameters, and the brightness response simulation data is calculated and generated. This data reflects the brightness performance of the display screen under different input conditions, and provides the necessary basis for subsequent characteristic analysis.

[0124] Step S22: performing response curve fitting on the brightness response simulation data to obtain a brightness characteristic curve; performing characteristic extraction on the brightness characteristic curve to generate brightness characteristic data;

[0125] In this embodiment, the response curve fitting of the brightness response simulation data adopts a polynomial regression analysis method, and a brightness characteristic curve is generated by a fitting algorithm based on the relationship between signal strength and brightness. In specific implementation, the response simulation data is input into the regression analysis tool, the order of the fitting function is set, the best fitting curve is obtained, and its correlation coefficient is calculated to ensure the fitting accuracy. The generation process of the brightness characteristic curve involves extracting key points, such as maximum brightness, minimum brightness and their corresponding input signals, to form brightness characteristic data. These characteristic data include response time and stability at different brightness values, which provide important references for subsequent power consumption analysis.

[0126] Step S23: Analyze the power consumption characteristics of the basic parameters of the explosion-proof display screen to obtain power consumption distribution data; perform fusion modeling on the brightness characteristic data and the power consumption distribution data to generate a comprehensive characteristic model;

[0127] In this embodiment, the power consumption characteristics of the basic parameters of the explosion-proof display screen are analyzed, and the power consumption of the display screen is measured at different brightness settings using a power consumption measuring instrument, and the power consumption data is collected and recorded. The power consumption characteristics analysis process involves statistical analysis of the power consumption under different input currents and voltages, calculating the average power consumption value for each brightness level, and generating power consumption distribution data. Based on the brightness characteristic data and the power consumption distribution data, a fusion model is performed, and a multivariate linear regression model is applied to combine the brightness characteristics with the power consumption characteristics to generate a comprehensive characteristic model. This model provides the relationship between brightness and power consumption, which is helpful for subsequent optimization and adjustment.

[0128] Step S24: Calculate the pixel luminous efficiency of the comprehensive characteristic model to obtain self-luminous efficiency data; divide the self-luminous efficiency data into brightness gradients to obtain brightness level data;

[0129] In this embodiment, the pixel luminous efficiency calculation of the comprehensive characteristic model combines the brightness characteristic data with the power consumption data to calculate the luminous efficiency of each pixel unit under specific brightness conditions. In the specific implementation process, the efficiency formula (luminous efficiency = brightness / power consumption) is used to perform pixel-by-pixel calculations to generate self-luminous efficiency data. The self-luminous efficiency data is further divided into brightness gradients, and the brightness interval is set. The area with high luminous efficiency is marked as a high-efficiency area, and the area with low luminous efficiency is marked as a low-efficiency area to form brightness level data. This process ensures that the luminous efficiency at different brightness levels is accurately identified, providing a basis for subsequent self-luminous characteristic analysis.

[0130] Step S25: analyzing the self-luminous characteristics of the comprehensive characteristic model based on the brightness level data to obtain self-luminous characteristic data;

[0131] In this embodiment, the self-luminous characteristics of the comprehensive characteristic model are analyzed based on the brightness level data, and the data mining technology is used to analyze the luminous characteristics at different brightness levels to identify the relationship and change rules between the levels. This process includes statistical analysis of the luminous efficiency, response time and stability of each brightness level to extract the self-luminous characteristic data. The self-luminous characteristic data contains the characteristic values ​​of each brightness level, which can provide data support for the subsequent display optimization and ensure stability and performance in complex environments.

[0132] Step S26: Perform spatial distribution mapping on the pixel unit group set to obtain pixel layout data; perform simulated screen reconstruction on the pixel layout data based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model.

[0133] In this embodiment, the spatial distribution mapping of the pixel unit group set is performed, and the spatial analysis technology is used to generate pixel layout data by associating the pixel coordinates with their corresponding brightness characteristic data. This process uses data visualization tools to present the mapping results in a graphical manner, clearly showing the distribution of each pixel unit in the physical space. The pixel layout data is simulated screen reconstructed based on the self-luminous characteristic data, and the mapping and characteristic data are combined using three-dimensional modeling software to generate a simulated explosion-proof display screen model. This model can accurately reflect the performance of the display screen in actual operation and provide an important reference for subsequent performance evaluation and optimization.

[0134] Preferably, step S3 comprises the following steps:

[0135] Step S31: dividing the simulated explosion-proof display screen model into blocks to obtain a regional distribution map; locating the heat source on the regional distribution map to generate heat source position data;

[0136] Step S32: performing heat diffusion calculation on the simulated explosion-proof display screen model based on the heat source position data to generate a heat diffusion pattern diagram; extending the heat diffusion pattern diagram in the time dimension to obtain time series thermal data;

[0137] Step S33: performing regional superposition calculation on the time series thermal data to obtain cumulative heat data; performing temperature distribution mapping on the simulated explosion-proof display screen model based on the cumulative heat data to generate a temperature distribution diagram;

[0138] Step S34: identifying critical points of the temperature distribution diagram to obtain critical temperature data; calculating safety margins of the critical temperature data to obtain safety boundary values;

[0139] Step S35: performing regional risk assessment on the pixel unit group set according to the safety boundary value to obtain risk level data; performing thermal accumulation safety value mapping on the accumulated heat data based on the risk level data to generate a screen thermal accumulation safety threshold.

[0140] As an example of the present invention, see Figure 3 In this example, step S3 includes:

[0141] Step S3 includes the following steps:

[0142] Step S31: dividing the simulated explosion-proof display screen model into blocks to obtain a regional distribution map; locating the heat source on the regional distribution map to generate heat source position data;

[0143] In this embodiment, the simulated explosion-proof display screen model is divided into blocks, and the surface of the display screen is divided into multiple small areas using a grid division algorithm to form a regional distribution map. The division of each area is based on the physical characteristics and functional requirements of the display screen to ensure that each block can effectively reflect its thermal characteristics. After the block division is completed, the heat source is located, and the regional distribution map is detected using thermal imaging technology to generate heat source location data. Through an infrared thermal imaging instrument, the temperature distribution of each area is recorded in real time, and the hot spot area is identified to ensure the accuracy of heat source positioning. This process provides basic data for subsequent heat diffusion calculations to ensure the effectiveness of thermal management.

[0144] Step S32: performing heat diffusion calculation on the simulated explosion-proof display screen model based on the heat source position data to generate a heat diffusion pattern diagram; extending the heat diffusion pattern diagram in the time dimension to obtain time series thermal data;

[0145] In this embodiment, the heat diffusion calculation of the simulated explosion-proof display screen model is performed based on the heat source position data, and the finite element analysis method is applied to construct a heat diffusion model. By inputting the heat source position data, the heat flow distribution in each area is calculated, and a heat diffusion pattern diagram is generated. This pattern diagram shows the diffusion path and distribution of heat in the display screen model, and can clearly show the areas where heat is concentrated and dispersed. Furthermore, the heat diffusion pattern diagram is extended in time dimension, and time series thermal data is generated through time series analysis technology to reflect the heat changes at different time points. This process ensures a comprehensive understanding of the thermal behavior of the display screen during operation, providing guidance for subsequent heat management.

[0146] Step S33: performing regional superposition calculation on the time series thermal data to obtain cumulative heat data; performing temperature distribution mapping on the simulated explosion-proof display screen model based on the cumulative heat data to generate a temperature distribution diagram;

[0147] In this embodiment, the time series thermal data is subjected to regional superposition calculation, and the thermal data at different time points are accumulated to obtain the cumulative thermal data. This process adopts the regional statistical analysis method to weightedly superimpose the thermal data in the same area to ensure that the heat changes in each area can be accurately reflected. Based on the cumulative heat data, the simulated explosion-proof display model is mapped for temperature distribution, and the cumulative heat is converted into temperature distribution using thermal analysis software to generate a temperature distribution map. This mapping process combines the thermal physics model to ensure that the temperature changes in each area of ​​the display can be reasonably presented, providing a basis for the subsequent critical point identification.

[0148] Step S34: identifying critical points of the temperature distribution diagram to obtain critical temperature data; calculating safety margins of the critical temperature data to obtain safety boundary values;

[0149] In this embodiment, the critical point of the temperature distribution map is identified, and the threshold segmentation technology is used to set the temperature threshold, identify the area exceeding the critical temperature, and obtain the critical temperature data. This process determines the key point where the temperature reaches the safety boundary by analyzing the extreme values ​​in the temperature distribution map, ensuring that potential overheating areas can be effectively identified. The safety margin is calculated for the critical temperature data, and the gap between each identified critical point and the set safety temperature is analyzed to generate a safety boundary value. This calculation process ensures the safe operation of the display screen in a high temperature environment and provides an important reference for risk assessment.

[0150] Step S35: performing regional risk assessment on the pixel unit group set according to the safety boundary value to obtain risk level data; performing thermal accumulation safety value mapping on the accumulated heat data based on the risk level data to generate a screen thermal accumulation safety threshold.

[0151] In this embodiment, a regional risk assessment is performed on the pixel unit group set according to the safety boundary value, and a risk assessment model is used to evaluate the risk level of each area in combination with the critical temperature data and the accumulated heat data. The generation of risk level data involves comparing the safety margin of each area with its working state to identify high-risk areas and low-risk areas. Based on the risk level data, the accumulated heat data is mapped to a thermal accumulation safety value, and a heat distribution model is applied to combine the risk level with the safety threshold to generate a screen thermal accumulation safety threshold. This process ensures the safety and reliability of explosion-proof display screens in complex environments and provides necessary safety guarantees for practical applications.

[0152] Preferably, step S4 comprises the following steps:

[0153] Step S41: performing a difference comparison process on the screen thermal accumulation safety threshold and the simulated display screen thermal accumulation data to obtain thermal accumulation comparison difference data; performing a block buffer requirement calculation on the simulated explosion-proof display screen model based on the thermal accumulation comparison difference data to generate buffer requirement data;

[0154] Step S42: Based on the buffer demand data, the heat accumulation data of the simulated display screen is evaluated for heat level to obtain heat level data; and the simulated explosion-proof display screen model is marked for block classification according to the heat level data to obtain block classification data;

[0155] Step S43: sorting the buffer requirement data in a hierarchical time sequence based on the block hierarchical data to generate partitioned screen buffer requirement data;

[0156] Step S44: performing time window allocation on the partition screen buffering demand data to obtain buffering time allocation data; performing cooling cycle calculation on the buffering time allocation data to obtain cooling cycle data;

[0157] Step S45: Associating and fusing the buffer time allocation data and the cooling cycle data to obtain refresh time data; performing buffer refresh planning for the pixel unit group set based on the refresh time data to generate a time zone buffer strategy.

[0158] In this embodiment, the screen heat accumulation safety threshold and the simulated display screen heat accumulation data are subjected to difference comparison processing, and the heat difference of each area is calculated using a statistical analysis method. In the specific implementation, the safety threshold is compared with the heat accumulation data one by one using a data processing tool to generate heat accumulation comparison difference data. This data can clearly reflect the heat exceeding the standard in each area and provide a basis for the subsequent buffer demand calculation. Based on the heat accumulation comparison difference data, the block buffer demand calculation of the simulated explosion-proof display model is performed, and a weighted algorithm is adopted to consider the severity of the heat difference to generate buffer demand data. Based on the buffer demand data, the simulated display screen heat accumulation data is evaluated for heat level, and a hierarchical evaluation model is adopted to divide the heat accumulation data into multiple levels, such as low, medium, high, and extremely high. During the implementation process, the threshold of each level is set, and the accumulated heat data is used for classification to generate heat level data. According to the heat level data, the simulated explosion-proof display model is marked for block classification, and each area is marked in combination with the heat level to generate block classification data. The buffer demand data is sorted in a hierarchical time series based on the block classification data, and a priority sorting algorithm is adopted to give priority to areas with higher buffer demand. In the specific implementation, the buffer demand data and its corresponding block classification data are input, and the data is processed using a sorting algorithm (such as quick sort) to generate partition screen buffer demand data. This data is arranged in a time series to ensure that when performing buffer refresh, the area with higher heat can be processed first, thereby improving the overall heat dissipation effect and display stability of the display screen. The partition screen buffer demand data is allocated a time window, and the time management model is used to convert the buffer demand of each area into a specific time allocation. During the implementation process, the corresponding time window is determined according to the buffer demand level and priority of each area, and the buffer time allocation data is generated. The buffer time allocation data is calculated for the cooling cycle, and the thermodynamic model is applied to consider the rate of heat loss to calculate the cooling cycle data of each area to ensure that the cooling time of each area after buffering can meet the safety requirements. The buffer time allocation data and the cooling cycle data are associated and fused, and the data fusion technology is used to combine the two to generate refresh time data. In the specific implementation, the buffer time and cooling cycle are comprehensively evaluated by the weighted average method to obtain the best refresh time. The pixel unit group set is buffer refreshed based on the refresh time data to generate a time zone buffer strategy. This strategy formulates a reasonable refresh plan based on the refresh requirements and safety of each area to ensure the normal operation of the explosion-proof display screen in a high temperature environment and improve the display effect and safety.

[0159] Preferably, step S44 includes the following steps:

[0160] Step S441: setting a time base for the partition screen buffer demand data to generate base time data; allocating block durations for the base time data to generate duration allocation data;

[0161] Step S442: dividing the partition screen buffering demand data into window boundaries based on the duration allocation data to obtain buffering time allocation data;

[0162] Step S443: performing heat dissipation rate analysis on the buffer time allocation data to obtain heat dissipation rate parameters; performing cooling time estimation on the heat dissipation rate parameters to generate cooling time data;

[0163] Step S444: dividing the buffer time allocation data into periods based on the cooling time data to obtain a preliminary periodic scheme; performing safety margin evaluation on the preliminary periodic scheme to obtain margin data;

[0164] Step S445: Optimize and adjust the preliminary cycle plan according to the margin data to generate cooling cycle data.

[0165] In this embodiment, the time base is set for the partition screen buffer demand data, and a standardized time management model is used to set the base time of each area. During the implementation process, the timestamp of the partition screen buffer demand data is analyzed to determine a unified base time point as the reference time for all buffer operations. After the base time data is generated, the block duration is allocated, and the specific duration is allocated by a weighted method based on the buffer demand level of each area to ensure that the high-demand area obtains a longer buffer time. This time duration allocation data takes into account the heat release characteristics of each area to ensure that the heat dissipation requirements can be met in actual operation, providing a basis for subsequent time window division. The partition screen buffer demand data is divided into window boundaries based on the duration allocation data. During the implementation process, the specific time period in the duration allocation data is used to set the start and end time of the buffer window of each area. The time series analysis method is used to ensure that the window division of each area is continuous and consistent, and time overlap or gaps are avoided. In this way, the buffer time allocation data obtained can clearly show the specific time interval required for each area during the buffering process, providing the necessary time frame for the subsequent heat dissipation rate analysis. The heat dissipation rate analysis is performed on the buffer time allocation data, and the heat conduction theory and experimental data are used to evaluate the heat dissipation rate parameters of each area. In the specific implementation process, the temperature change of each area is monitored in real time by thermal imaging technology, and the heat loss per unit time is calculated to generate the heat dissipation rate parameters. After determining the heat dissipation rate, the cooling time is estimated, and the cooling time of each area is calculated using the formula (cooling time = heat / heat dissipation rate) to generate cooling time data. This step ensures that the heat management in the cooling process can be scientifically supported and provides a basis for subsequent cycle division. The buffer time allocation data is divided into cycles based on the cooling time data, and the buffer time is combined with the cooling time using a periodic analysis method to form a preliminary cycle plan. During the implementation process, the buffer time and the corresponding cooling time of each area are superimposed to generate a preliminary work cycle arrangement to ensure that each area can get a reasonable time allocation during the buffering and cooling processes. The safety margin is evaluated for the preliminary cycle plan, and the safety margin in each cycle is evaluated in combination with the previously generated safety boundary value to obtain margin data to ensure that all cycle arrangements can meet safety requirements and avoid overheating. The preliminary cycle plan is optimized and adjusted according to the margin data, and the preliminary cycle plan is iteratively adjusted using an optimization algorithm (such as genetic algorithm or particle swarm optimization). During the implementation process, the margin data is analyzed, the risk areas are identified, and their buffer and cooling cycles are adjusted accordingly to ensure that the safety margin is improved. The generated cooling cycle data takes into account the actual needs and safety characteristics of each area, ensuring the stability and safety of the display screen under high load conditions, and finally forming a reasonable cooling cycle plan to provide efficient support for the overall thermal management of the explosion-proof display screen.

[0166] Preferably, step S45 includes the following steps:

[0167] Step S451: matching and comparing the buffer time allocation data and the cooling cycle data to generate time matching data; performing conflict detection and analysis on the time matching data to obtain conflict point data;

[0168] Step S452: performing conflict avoidance adjustment on the buffer time allocation data based on the conflict point data to obtain a coordination time plan;

[0169] Step S453: merging time periods of the coordinated time plan to obtain merged time series data; removing overlapping areas of the merged time series data to generate non-overlapping time series data;

[0170] Step S454: performing time series fusion on the merged time series data according to the non-overlapping time series data to obtain refresh time data; performing pixel group mapping on the refresh time data and the pixel unit group set to obtain pixel mapping data;

[0171] Step S455: Designing refresh rules for the pixel mapping data to obtain a refresh rule set; arranging the execution order of the pixel unit group set based on the refresh rule set to generate a time zone buffer strategy.

[0172] In this embodiment, the buffer time allocation data and the cooling cycle data are matched and compared, and the data comparison algorithm is used to compare the two data sets item by item to generate time matching data. In the specific implementation process, the time window is set to ensure that the data of each buffer time and cooling cycle can be aligned on the time axis. Through this process, the existing time conflicts can be clearly identified. The time matching data is subjected to conflict detection analysis, and the conflict detection algorithm is used to identify multiple buffer and cooling requests existing in the same time period, and the conflict point data is obtained. Based on the conflict point data, the buffer time allocation data is adjusted for conflict avoidance, and the priority adjustment algorithm is used to reallocate the buffer time of the conflicting area. In the implementation process, each conflict point is analyzed to determine its priority, and is usually sorted according to heat demand and safety margin. The buffer time of the high priority area will be reserved first, while the time of the low priority area will be adjusted or postponed accordingly, so as to generate a coordination time plan. The coordination time plan is merged for time periods, and the time period aggregation algorithm is used to merge the adjacent and non-conflicting buffer times in time to obtain the merged time series data. This process ensures that the number of time segments is minimized during the processing process to improve execution efficiency. The overlapping areas of the merged time series data are eliminated, and the overlapping time segments are identified and eliminated through the detection algorithm to generate non-overlapping time series data. The merged time series data is time-series fused according to the non-overlapping time series data, and the non-overlapping time periods are integrated by the fusion algorithm to generate the final refresh time data. During the implementation process, the buffering requirements and cooling characteristics of different regions are considered to ensure that the thermal management will not be imbalanced during the fusion. The refresh time data and the pixel unit group set are pixel group mapped, and the refresh time is associated with the corresponding pixel unit group using the mapping algorithm to obtain pixel mapping data. Refresh rules are designed for the pixel mapping data, and a rule engine is used to formulate specific refresh strategies and rules to obtain a refresh rule set. During the implementation process, the refresh frequency, refresh order and related conditions are set according to the characteristics and requirements of each pixel group to ensure the efficiency and safety of the refresh process. The execution order of the pixel unit group set is arranged based on the refresh rule set, and the scheduling algorithm is applied to generate a time zone buffer strategy.

[0173] Preferably, step S5 comprises the following steps:

[0174] Step S51: Decomposing the time zone buffer strategy into time nodes to obtain time nodes; associating the time nodes and pixel unit group sets into pixel groups to obtain pixel group timing data;

[0175] Step S52: sequentially optimizing the pixel unit group set based on the pixel group timing data to obtain buffer refresh timing data; segmenting the buffer refresh timing data into tasks to generate task segmentation data;

[0176] Step S53: performing instruction conversion on the task segment data to obtain a basic instruction set; performing timing synchronization processing on the basic instruction set to generate a timing synchronization instruction;

[0177] Step S54: performing segmented refresh control on the pixel unit group set according to the timing synchronization instruction to implement an intelligent refresh method for the explosion-proof display screen.

[0178] In this embodiment, the time zone buffer strategy is decomposed into time nodes, and the time axis division technology is used to decompose the overall buffer strategy into specific time nodes. During the implementation process, the start and end time of each buffer period is set according to the previously generated buffer time allocation data, and each key time point is recorded to ensure that each time node can reflect the actual execution requirements. The time nodes and pixel unit group sets are pixel group associated, and the time nodes are matched with the corresponding pixel unit groups using the association analysis tool to generate pixel group timing data. The pixel unit group set is sequentially optimized based on the pixel group timing data, and the refresh order of each pixel unit group is adjusted using an optimization algorithm (such as a genetic algorithm or a particle swarm optimization). This process takes into account the heat generation and heat dissipation requirements of each area, ensuring that after the order is optimized, local overheating or display delay will not be caused during the refresh process. The obtained buffer refresh timing data will be the optimized execution order, which can improve the refresh efficiency of the entire display screen. The buffer refresh timing data is segmented and divided into tasks according to the time period of the refresh timing data, and task segmentation data is generated. The task segment data is converted into instructions, and an instruction generator is used to convert each task into a specific control instruction to obtain a basic instruction set. The instruction set contains the refresh commands and parameters of each pixel unit group to ensure that the instructions can adapt to the refresh requirements of different areas. The basic instruction set is processed by timing synchronization, and the instructions are sorted according to the time nodes using the synchronization algorithm to generate timing synchronization instructions. The pixel unit group set is segmented refresh controlled according to the timing synchronization instructions, and the instructions are executed in real time using a controller. During the implementation process, the controller will issue refresh commands to each pixel unit group one by one according to the arrangement of the timing synchronization instructions to ensure the implementation of an accurate intelligent refresh method on the explosion-proof display screen. Each segmented refresh operation will take into account the temperature status and power consumption of each area to ensure that no additional heat burden is caused during the refresh process.

[0179] The present invention also provides a refreshing system for an explosion-proof display screen, which is used to execute the refreshing method for an explosion-proof display screen as described above. The refreshing system for an explosion-proof display screen comprises:

[0180] The pixel unit analysis module is used to collect the state parameters of the explosion-proof display screen; extract the state characteristics of the state parameters of the explosion-proof display screen to obtain a state characteristic set; analyze the state characteristic set by self-luminous pixel units to generate a pixel unit group set;

[0181] The simulation screen reconstruction module is used to obtain the basic parameters of the explosion-proof display screen; perform screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; perform simulation screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulation explosion-proof display screen model;

[0182] The safety threshold calculation module is used to simulate the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain the heat accumulation data of the simulated display screen; based on the heat accumulation data of the simulated display screen, the safety threshold of the pixel unit group set is calculated to generate the screen heat accumulation safety threshold;

[0183] The buffer refresh planning module is used to evaluate the block buffer demand of the simulated explosion-proof display model according to the screen thermal accumulation safety threshold and the simulated display thermal accumulation data, and obtain the partition screen buffer demand data; based on the partition screen buffer demand data, the buffer refresh planning is performed on the pixel unit group set to generate the time zone buffer strategy;

[0184] The buffer refresh control module is used to perform buffer refresh sorting on the pixel unit group set using the time zone buffer strategy to generate buffer refresh timing data; and perform segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

[0185] Through the implementation of the pixel unit analysis module, the present invention can effectively collect and analyze the state parameters of the explosion-proof display screen, and provide basic data for subsequent state feature extraction and pixel management. The generation of the state feature set ensures a comprehensive understanding of the working state of the display screen, which helps to timely identify potential faults and improve the maintenance efficiency of the equipment. The implementation of the self-luminous pixel unit analysis and the generated pixel unit group set can realize the refined management of the display screen and improve the uniformity and stability of the display effect. The application of the simulation screen reconstruction module enables the generation of accurate self-luminous characteristic data based on basic parameter analysis, which provides an important basis for the optimal design of the display screen. The analysis of the simulated display screen thermal accumulation effect can identify the heat distribution of the display screen and provide a scientific basis for the subsequent safety threshold calculation. The calculation of the curtain heat accumulation safety threshold makes it possible to clarify the safe operating range of the display screen in different working environments, ensuring the safety and reliability of the equipment. The effective implementation of the buffer refresh planning module can make scientific evaluations based on the heat accumulation data, optimize the operation strategy of the display screen, and improve its adaptability in high temperature environments. The generation of the time zone buffer strategy ensures that the refresh sequence of pixel units can be reasonably arranged in different time periods, improving the response speed and display quality of the display screen. The execution of the buffer refresh control module ensures that the refresh process of the pixel unit can be accurately controlled, reducing the risks caused by overheating and improving the overall stability of the equipment. The intelligent design of the entire refresh system can achieve efficient and accurate display control, ensuring that the explosion-proof display screen can still operate stably in various complex environments.

[0186] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0187] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A refreshing method for an explosion-proof display screen, characterized in that: The following steps are involved: Step S1: collecting state parameters of the explosion-proof display screen; extracting state features of the state parameters of the explosion-proof display screen to obtain a state feature set; Performing self-luminous pixel unit analysis on the state feature set to generate a pixel unit group set; Step S2: Obtaining basic parameters of explosion-proof display screen; Perform screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; perform simulated screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model; Step S3: simulating the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain the simulated display screen heat accumulation data; Based on the simulated display screen thermal accumulation data, a safety threshold value is calculated for the pixel unit group set to generate a screen thermal accumulation safety threshold value; wherein step S3 includes the following steps: Step S31: dividing the simulated explosion-proof display screen model into blocks to obtain a regional distribution map; locating the heat source on the regional distribution map to generate heat source position data; Step S32: performing heat diffusion calculation on the simulated explosion-proof display screen model based on the heat source position data to generate a heat diffusion pattern diagram; extending the heat diffusion pattern diagram in the time dimension to obtain time series thermal data; Step S33: performing regional superposition calculation on the time series thermal data to obtain cumulative heat data; performing temperature distribution mapping on the simulated explosion-proof display screen model based on the cumulative heat data to generate a temperature distribution diagram; Step S34: identifying critical points of the temperature distribution diagram to obtain critical temperature data; calculating safety margins of the critical temperature data to obtain safety boundary values; Step S35: performing regional risk assessment on the pixel unit group set according to the safety boundary value to obtain risk level data; performing thermal accumulation safety value mapping on the accumulated heat data based on the risk level data to generate a screen thermal accumulation safety threshold; Step S4: evaluating the block buffering requirement of the simulated explosion-proof display screen model according to the screen heat accumulation safety threshold and the simulated display screen heat accumulation data, and obtaining the partition screen buffering requirement data; performing buffer refresh planning for the pixel unit group set based on the partition screen buffering requirement data, and generating a time zone buffering strategy; wherein step S4 includes the following steps: Step S41: performing a difference comparison process on the screen thermal accumulation safety threshold and the simulated display screen thermal accumulation data to obtain thermal accumulation comparison difference data; performing a block buffer requirement calculation on the simulated explosion-proof display screen model based on the thermal accumulation comparison difference data to generate buffer requirement data; Step S42: Based on the buffer demand data, the heat accumulation data of the simulated display screen is evaluated for heat level to obtain heat level data; and the simulated explosion-proof display screen model is marked for block classification according to the heat level data to obtain block classification data; Step S43: sorting the buffer requirement data in a hierarchical time sequence based on the block hierarchical data to generate partitioned screen buffer requirement data; Step S44: performing time window allocation on the partition screen buffering demand data to obtain buffering time allocation data; performing cooling cycle calculation on the buffering time allocation data to obtain cooling cycle data; Step S45: associating and fusing the buffer time allocation data and the cooling cycle data to obtain refresh time data; performing buffer refresh planning for the pixel unit group set based on the refresh time data to generate a time zone buffer strategy; Step S5: using the time zone buffering strategy to perform buffer refresh sorting on the pixel unit group set to generate buffer refresh timing data; performing segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

2. The refreshing method for explosion-proof display screen according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: collect the real-time status of the explosion-proof display screen to obtain the status parameters of the explosion-proof display screen; and timestamp the status parameters of the explosion-proof display screen to obtain time series status data; Step S12: classify the state parameters of the time series state data to generate state group data; divide the state group data into value ranges to obtain state value intervals; Step S13: extracting interval state features of the time series state data based on the state value interval to obtain a state feature set; Step S14: locating pixels of the state feature set to obtain a pixel coordinate matrix; performing brightness distribution analysis on the pixel coordinate matrix to generate a brightness distribution map; Step S15: performing adjacent pixel association identification on the brightness distribution map to obtain a pixel association network; performing pixel unit group construction on the pixel association network to generate a pixel unit group set.

3. The refreshing method for explosion-proof display screen according to claim 2, characterized in that: Step S15 includes the following steps: Step S151: performing adjacent pixel identification on the brightness distribution map to obtain an adjacent pixel set; performing inter-group association identification on the adjacent pixel set to generate an adjacent pixel group relationship; Step S152: performing association network connection on the relationship between adjacent pixel groups to obtain a pixel association network; Step S153: identifying pixel unit boundaries of the brightness distribution map according to the pixel association network to obtain pixel unit boundary data; Step S154: performing region division on the pixel unit boundary data to obtain region grouping data; performing brightness feature clustering on the region grouping data to generate brightness feature groups; Step S155: Calculate the brightness power consumption of the brightness feature group to obtain power consumption distribution data; and integrate the pixel association network into groups based on the power consumption distribution data to generate a pixel unit group set.

4. The refreshing method for explosion-proof display screen according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: acquiring basic parameters of the explosion-proof display screen; performing brightness response simulation on the basic parameters of the explosion-proof display screen to obtain brightness response simulation data; Step S22: performing response curve fitting on the brightness response simulation data to obtain a brightness characteristic curve; performing characteristic extraction on the brightness characteristic curve to generate brightness characteristic data; Step S23: Analyze the power consumption characteristics of the basic parameters of the explosion-proof display screen to obtain power consumption distribution data; perform fusion modeling on the brightness characteristic data and the power consumption distribution data to generate a comprehensive characteristic model; Step S24: Calculate the pixel luminous efficiency of the comprehensive characteristic model to obtain self-luminous efficiency data; divide the self-luminous efficiency data into brightness gradients to obtain brightness level data; Step S25: analyzing the self-luminous characteristics of the comprehensive characteristic model based on the brightness level data to obtain self-luminous characteristic data; Step S26: Perform spatial distribution mapping on the pixel unit group set to obtain pixel layout data; perform simulated screen reconstruction on the pixel layout data based on the self-luminous characteristic data to generate a simulated explosion-proof display screen model.

5. The refreshing method for explosion-proof display screen according to claim 1, characterized in that: Step S44 includes the following steps: Step S441: setting a time base for the partition screen buffer demand data to generate base time data; allocating block durations for the base time data to generate duration allocation data; Step S442: dividing the partition screen buffering demand data into window boundaries based on the duration allocation data to obtain buffering time allocation data; Step S443: performing heat dissipation rate analysis on the buffer time allocation data to obtain heat dissipation rate parameters; performing cooling time estimation on the heat dissipation rate parameters to generate cooling time data; Step S444: dividing the buffer time allocation data into periods based on the cooling time data to obtain a preliminary periodic scheme; performing safety margin evaluation on the preliminary periodic scheme to obtain margin data; Step S445: Optimize and adjust the preliminary cycle plan according to the margin data to generate cooling cycle data.

6. The refreshing method for explosion-proof display screen according to claim 1, characterized in that: Step S45 includes the following steps: Step S451: matching and comparing the buffer time allocation data and the cooling cycle data to generate time matching data; performing conflict detection and analysis on the time matching data to obtain conflict point data; Step S452: performing conflict avoidance adjustment on the buffer time allocation data based on the conflict point data to obtain a coordination time plan; Step S453: merging time periods of the coordinated time plan to obtain merged time series data; removing overlapping areas of the merged time series data to generate non-overlapping time series data; Step S454: performing time series fusion on the merged time series data according to the non-overlapping time series data to obtain refresh time data; performing pixel group mapping on the refresh time data and the pixel unit group set to obtain pixel mapping data; Step S455: Designing refresh rules for the pixel mapping data to obtain a refresh rule set; arranging the execution order of the pixel unit group set based on the refresh rule set to generate a time zone buffer strategy.

7. The refreshing method for explosion-proof display screen according to claim 1, characterized in that: Step S5 includes the following steps: Step S51: Decomposing the time zone buffer strategy into time nodes to obtain time nodes; associating the time nodes and pixel unit group sets into pixel groups to obtain pixel group timing data; Step S52: sequentially optimizing the pixel unit group set based on the pixel group timing data to obtain buffer refresh timing data; segmenting the buffer refresh timing data into tasks to generate task segmentation data; Step S53: performing instruction conversion on the task segment data to obtain a basic instruction set; performing timing synchronization processing on the basic instruction set to generate a timing synchronization instruction; Step S54: performing segmented refresh control on the pixel unit group set according to the timing synchronization instruction to implement an intelligent refresh method for the explosion-proof display screen.

8. A refreshing system for explosion-proof display screen, characterized in that: Used to execute the refreshing method for explosion-proof display screen according to claim 1, the refreshing system for explosion-proof display screen comprises: The pixel unit analysis module is used to collect the state parameters of the explosion-proof display screen; extract the state characteristics of the state parameters of the explosion-proof display screen to obtain a state characteristic set; analyze the state characteristic set by self-luminous pixel units to generate a pixel unit group set; The simulation screen reconstruction module is used to obtain the basic parameters of the explosion-proof display screen; perform screen characteristic analysis on the basic parameters of the explosion-proof display screen to obtain self-luminous characteristic data; perform simulation screen reconstruction on the pixel unit group set based on the self-luminous characteristic data to generate a simulation explosion-proof display screen model; The safety threshold calculation module is used to simulate the regional heat accumulation effect of the simulated explosion-proof display screen model to obtain the heat accumulation data of the simulated display screen; based on the heat accumulation data of the simulated display screen, the safety threshold of the pixel unit group set is calculated to generate the screen heat accumulation safety threshold; The buffer refresh planning module is used to evaluate the block buffer demand of the simulated explosion-proof display model according to the screen thermal accumulation safety threshold and the simulated display thermal accumulation data, and obtain the partition screen buffer demand data; based on the partition screen buffer demand data, the buffer refresh planning is performed on the pixel unit group set to generate the time zone buffer strategy; The buffer refresh control module is used to perform buffer refresh sorting on the pixel unit group set using the time zone buffer strategy to generate buffer refresh timing data; and perform segmented refresh control on the pixel unit group set according to the buffer refresh timing data to realize an intelligent refresh method for explosion-proof display screens.

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