CN117116200A - Method and system for adjusting resolution of LED display screen - Google Patents
Method and system for adjusting resolution of LED display screen Download PDFInfo
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Abstract
The application discloses a method and a system for adjusting resolution of an LED display screen, and particularly relates to the field of data processing, wherein when the resolution of a display is adjusted, a plurality of software graphic resource demand data are collected, a data set is constructed, and a resource management coefficient is calculated so as to evaluate the use condition of resources and find problems; comparing the resource management coefficient with a display quality threshold value, generating management signals of different levels, monitoring and evaluating the resource use in real time, and supporting adjustment feedback; meanwhile, the high-level and medium-level management signals are obtained, coordination information and soft and hard coordination difference indexes are recorded, adjustment effects are analyzed, data in multiple directions such as soft and hard coordination, resource management and control, coordination performance and the like are considered, the effect is definitely achieved through objective factors, finally, the coordination difference indexes and corresponding thresholds are compared, corresponding signals are generated, the hidden problem existing in adjustment is definitely extracted, resolution adjustment is optimized, and user experience, system performance and display service life are facilitated to be prolonged.
Description
Technical Field
The application relates to the field of data processing, in particular to a method and a system for adjusting resolution of an LED display screen.
Background
LED displays (Light Emitting Diode Display Screen) are a modern display technology widely used for displaying images, text and video. They use Light Emitting Diodes (LEDs) as light sources, which can produce bright, high contrast images. LED displays have a wide variety of applications including televisions, computer displays, outdoor billboards, large screens in stadiums, digital billboards in shops, traffic signals, and many other fields.
The resolution of an LED display screen is typically determined by the arrangement of its physical pixels, and thus adjustment of the resolution is typically required based on the hardware characteristics of the display screen itself. The resolution represents the number of pixels on the screen, typically in terms of horizontal and vertical pixel numbers (e.g., 1920x1080, representing 1920 pixels horizontally and 1080 pixels vertically).
Resolution adjustment of LED displays is typically done to accommodate different application requirements and signal sources. By adjusting the resolution, the user can ensure that the best image quality and visual effect are obtained in different situations. For example, adjusting resolution under different display content and video sources may provide clearer images, better compatibility, and ensure that the display screen is capable of presenting the best appearance of the content. Therefore, the LED display screen can be flexibly configured according to different occasions and requirements so as to meet specific requirements of users.
The existing LED display screen has some problems in resolution adjustment, and the existing method is generally insufficient for fully analyzing the operation conditions of software and hardware under different resolutions. Although display effects at some resolutions may be good, it is easy to cause excessive utilization of system display resources or display loads to continue to run high, and these hidden problems are not easily found in the conventional art. This may shorten the life of the LED display screen, as high loads may lead to premature wear of the LED elements, thereby reducing the sustainability and durability of the display screen; secondly, not every resolution can stably realize a good display effect, but satisfactory performance can be obtained only under certain specific resolutions, and the inconsistency is easy to mislead the decision of resolution adjustment, while the existing resolution adjustment is only aimed at certain specific commonly used resolution gears, and the unusual but used resolution adjustment gears are ignored, so that a user can meet good display effect under certain conditions, but similar experience cannot be obtained under other conditions, and user experience is affected.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present application provide for, when adjusting the resolution of a display, collecting a plurality of software graphic resource demand data, constructing a data set, and calculating a resource management coefficient to evaluate the use condition of resources and find problems; comparing the resource management coefficient with a display quality threshold value, generating management signals of different levels, monitoring and evaluating the resource use in real time, and supporting adjustment feedback; meanwhile, the high-level and medium-level management signals are obtained, coordination information and soft and hard coordination difference indexes are recorded, adjustment effects are analyzed, data in multiple directions such as soft and hard coordination, resource management and control, coordination performance and the like are considered, the effect is definitely achieved through objective factors, finally, the coordination difference indexes and corresponding thresholds are compared, corresponding signals are generated, the hidden problem existing in adjustment is definitely extracted, resolution adjustment is optimized, user experience and system performance are improved, the service life of a display is prolonged, and the problems in the background technology are solved.
In order to achieve the above purpose, the present application provides the following technical solutions:
step S100, acquiring resource parameters when the resolution of a display screen is regulated, acquiring software graphic resource requirements under the current resolution according to the resource parameters, and collecting the software graphic resource requirements under different resolutions to construct a data set;
step S200, analyzing the data set to obtain a resource management coefficient, and further analyzing the resource management coefficient to generate different levels of management signals, including high-level management signals, medium-level management signals and readjustment signals;
step S300, under the condition of obtaining high-level and medium-level management signals, coordination information under different resolutions is obtained, and the coordination information is comprehensively calculated to obtain a soft-hard coordination difference index;
and step S400, analyzing the soft-hard coordination difference index to generate a perfect signal and a readjusting signal.
In a preferred embodiment, step S100 specifically includes the steps of:
the resource parameters comprise a total video memory, a used video memory, graphic resource requirements of task processes and reserved graphic resources;
the graphic resource requirements of the general existing and used video memory and task processes and the reserved graphic resources are comprehensively calculated to obtain the software graphic resource requirements, wherein the calculation formula is as follows:；
in the method, in the process of the application,the method comprises the steps of respectively reserving graphics resources for software graphics resources, a total video memory, used video memory and graphics resources of task processes.
In a preferred embodiment, step S200 specifically includes the following:
recording software graphic resource demand data regulated to each resolution, and counting the data structure data sets;
sequentially sequencing the data in the data set from small to large according to the resolution ratio, and calculating a resource management coefficient, wherein the calculation formula is as follows:
；
in the method, in the process of the application,for resource management coefficients, ++>Representing +.>Data of->Mean value of logarithmic data>Represents the data sequence number->=1、2、……、/>，/>Is a positive integer>Representing the total number of data.
In a preferred embodiment, the resource management coefficients are compared with the first and second display quality thresholds, respectively, and if the resource management coefficients are less than the first display quality threshold, an advanced management signal is generated; when the resource management coefficient is greater than or equal to the display quality threshold, generating a readjustment signal; and if the resource management coefficient is larger than or equal to the first display quality threshold and smaller than the second display quality threshold, generating a medium-level management signal.
In a preferred embodiment, step S300 specifically includes the following:
step S311, under the condition of obtaining the advanced and intermediate management signals, recording coordination information when the display adjusts the resolution, where the coordination information includes a display frame rate, a resolution adjustment frequency, a data volume displayed by each frame, a software graphics demand resource rendered by each frame, a response time of the display screen, and a refresh period of the display, and calculating a soft and hard coordination index of the display by the coordination information, where a calculation formula is as follows:
；
wherein:
is a software and hardware coordination index;
for displaying the frame rate;
adjusting the frequency for resolution;
the amount of data displayed for each frame;
software graphics rendered for each frame require resources;
is a CPU performance factor;
response time of the display screen;
is the refresh period of the display.
In a preferred embodiment, step S312, during the running period of the display, collects data of a plurality of soft and hard coordination indexes, sorts the soft and hard coordination indexes from large to small, selects the maximum value, the middle value and the minimum value of the soft and hard coordination indexes as an initial cluster center, and creates three corresponding initial clusters;
step S313, for each soft and hard coordination index, calculating the distance between the soft and hard coordination index and each cluster center, and distributing the soft and hard coordination index to the cluster closest to the cluster center;
step S314, calculating the average value of all data points in each cluster, and taking the average value as a new cluster center;
step S315, repeatedly executing step S213 and step S214 until the clustering center is not changed, and distributing each software and hardware coordination index into the cluster of the final clustering center to form a final clustering result;
step S316, obtaining a soft-hard coordination difference index, wherein the calculation formula is as follows:
；
wherein:
is a soft-hard coordination difference index;
is the number of clusters;
index for a cluster;
is a cluster->Is the number of data points;
is a cluster->Data points>Software and hardware coordination index values of (a);
is a cluster->The mean of the hardware and software coordination index.
In a preferred embodiment, step S317, the soft-hard coordination difference index is compared with the coordination threshold, and if the soft-hard coordination difference index is smaller than the coordination threshold, a perfect signal is generated; and if the soft-hard coordination difference index is greater than or equal to the coordination consistency index, generating a readjusting signal.
In a preferred embodiment, a system for adjusting resolution of an LED display screen includes a resource data unit, a resource model unit, a resource presentation unit, a coordination data unit, an overall mashup unit, and an overall result unit;
the resource data unit is used for acquiring resource parameters when the resolution of the display screen is regulated, acquiring software graphic resource requirements under the current resolution according to the resource parameters, collecting the software graphic resource requirements under different resolutions to construct a data set, and transmitting the data set to the resource model unit;
the resource model unit is used for analyzing the data set to obtain a resource management coefficient, and transmitting the resource management coefficient to the resource display unit;
the resource display unit is used for further analyzing the resource management coefficient to generate different-level management signals, including a high-level management signal, a medium-level management signal and a readjustment signal, and sending the different-level management signals to the coordination data unit;
the coordination data unit is used for obtaining coordination information under different resolutions under the condition of obtaining high-level and medium-level management signals, and sending the coordination information to the integral mashup unit;
the integrated mashup unit is used for comprehensively calculating the coordination information to obtain a soft-hard coordination difference index, and sending the soft-hard coordination difference index to the integrated result unit;
the overall result unit is used for analyzing the soft-hard coordination difference index to generate a perfect signal and a readjustment signal.
The application discloses a method and a system for adjusting resolution of an LED display screen, which have the technical effects and advantages that:
1. and when the resolution of the display is adjusted, collecting a plurality of software graphic resource demand data, constructing a data set, and comprehensively analyzing the data set to calculate resource management coefficients. This factor helps analyze the resource management conditions during resolution adjustment to find potential operational problems. In addition, the resource management coefficient is compared with the first display quality threshold and the second display quality threshold respectively, and management signals of different levels are generated according to the comparison result. The method is beneficial to monitoring and evaluating the resource use condition under different resolutions in real time, and is used for defining the resource use degree level and providing support for better feedback adjustment effect;
2. under the condition of acquiring the high-level and medium-level management signals, the coordination information of the display when the resolution is adjusted is recorded, and the information is comprehensively analyzed to calculate the soft-hard coordination difference index. And simultaneously, recording the performance data of the display switched to different resolutions, and carrying out summary analysis. By adopting macroscopic integral modes such as cluster analysis and the like to evaluate the adjustment result, the data analysis in multiple directions such as the coordination of software and hardware under different resolutions, the resource management and control and the coordination performance and the like is considered, and the effect is explicitly adjusted based on objective factors. And finally, comparing the soft and hard coordination difference index with a coordination consistency threshold value to generate a perfected signal or a readjusted signal so as to more comprehensively feed back the adjustment effect, which is helpful for better optimizing and managing the resolution adjustment of the display, improving the user experience, optimizing the system performance, extracting the potential problem of clear display, ensuring more effective adjustment and helping to better improve the service life and the use effect of the display.
Drawings
FIG. 1 is a schematic flow chart of a method and a system for adjusting resolution of an LED display screen according to the present application;
fig. 2 is a schematic structural diagram of a method and a system for adjusting resolution of an LED display screen according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Fig. 1 shows a method for adjusting resolution of an LED display screen according to the present application, including the steps of:
step S100, acquiring resource parameters when the resolution of a display screen is regulated, acquiring software graphic resource requirements under the current resolution according to the resource parameters, and collecting the software graphic resource requirements under different resolutions to construct a data set;
step S200, analyzing the data set to obtain a resource management coefficient, and further analyzing the resource management coefficient to generate different levels of management signals, including high-level management signals, medium-level management signals and readjustment signals;
step S300, under the condition of obtaining high-level and medium-level management signals, coordination information under different resolutions is obtained, and the coordination information is comprehensively calculated to obtain a soft-hard coordination difference index;
and step S400, analyzing the soft-hard coordination difference index to generate a perfect signal and a readjusting signal.
The software and hardware resource requirements under different resolutions are greatly changed, including processor performance, display memory of a display card, bandwidth and the like, and if effective resource management and control are not available, resource waste or shortage can be caused, so that the system performance is affected. And secondly, the control capability of the software and hardware resources is related to the quality of the display effect. Reasonable resource allocation can ensure that clear and smooth images can be obtained under different resolutions without causing blurring, jamming or rendering problems. Furthermore, resource management also involves energy conservation and thermal management. More power and heat sink resources may be needed at high resolution, so effective resource management helps to reduce energy consumption, reduce heat generation, and extend hardware life. In summary, analyzing and recording software and hardware resource management capabilities is critical when the display adjusts to different resolutions. This helps optimize resource allocation, improves display effects, and ensures that the system operates efficiently and stably under a variety of conditions. Such analysis and recording is a critical step in ensuring display performance and reliability.
The step S100 specifically includes the following steps:
the resource parameters comprise a total video memory, a used video memory, graphic resource requirements of task processes and reserved graphic resources;
the graphic resource requirements of the general existing and used video memory and task processes and the reserved graphic resources are comprehensively calculated to obtain the software graphic resource requirements, wherein the calculation formula is as follows:；
in the method, in the process of the application,the method comprises the steps of respectively reserving graphics resources for software graphics resources, a total video memory, used video memory and graphics resources of task processes.
The software graphics resource requirements are used to evaluate the usability of the display for software and hardware resource management at the current resolution, especially in situations where graphics resources are limited.
The total video memory refers to all the available graphic memory capacity on the display card or the graphic adapter, and is the sum of the capacity of graphic resources such as graphic data, text textures and the like stored in the display card;
existing memory capacity is used to refer to memory capacity that has been allocated and used in the current computing or graphics task;
the graphic resource requirement of a task process refers to the graphic resource required by the running task or process and is used for measuring the requirement of one task or process on the graphic performance;
reserved graphics resources are one type of graphics resources that are provided to ensure system stability and performance. Typically, an operating system or application program reserves a portion of resources in the available memory to cope with sudden graphics demands or to ensure that the system is functioning properly. These resources are typically not used by tasks or processes, but can be used to provide additional performance or standby resources when needed.
The step S200 specifically includes the following:
the software graphic resource requirement data adjusted to each resolution is recorded, and the data structure data sets are counted.
Sequentially sequencing the data in the data set from small to large according to the resolution ratio, and calculating a resource management coefficient, wherein the calculation formula is as follows:
；
in the method, in the process of the application,for resource management coefficients, ++>Representing +.>Data of->Mean value of logarithmic data>Represents the data sequence number->=1、2、……、/>，/>Is a positive integer>Representing the total number of data.
The larger the value of the resource management coefficient, the worse the software and hardware resource management capability of the display screen under different resolutions, namely, insufficient resource allocation and management, resulting in performance degradation, image quality degradation or other problems. This means that at high resolution or different resolutions, the software and hardware of the display screen cannot effectively adapt or allocate the required resources, resulting in an insufficient resource situation; on the contrary, if the value of the resource management coefficient is lower, the software and hardware resource management capability of the display screen is better under different resolutions, and the resource can be effectively adapted and allocated so as to meet the requirements under different resolutions. Meaning that the display screen can accommodate different resolutions without degrading performance or image quality, providing a better user experience.
Comparing the resource management coefficient with the first display quality threshold and the second display quality threshold respectively, if the resource management coefficient is smaller than the first display quality threshold, indicating that the resource allocation and management regulation and control capability adjusted to each resolution is good, and generating an advanced management signal, wherein the display quality is stable and good under different resolutions;
when the resource management coefficient is larger than or equal to the display quality threshold, the resource allocation and management regulation and control capability adjusted to each resolution is poor, and a readjustment signal is generated;
if the resource management coefficient is greater than or equal to the first display quality threshold and less than the second display quality threshold, the resource allocation and management regulation and control capability under different resolutions are generally indicated, the improvement and lifting space is larger, and further analysis is needed to generate a medium-level management signal.
When the resolution of the display is adjusted, the application collects a plurality of software graphic resource demand data, constructs a data set, and comprehensively analyzes the data set to calculate resource management coefficients. This factor helps analyze the resource management conditions during resolution adjustment to find potential operational problems. In addition, the resource management coefficient is compared with the first display quality threshold and the second display quality threshold respectively, and management signals of different levels are generated according to the comparison result. The method is beneficial to real-time monitoring and evaluation of the resource use condition under different resolutions, the resource use degree grade is clear, and support is provided for better feedback adjustment effect.
The software and hardware resource requirements at different resolutions are greatly different, and the coordination of the software and the hardware can ensure that the resources are effectively allocated and managed. If the software and hardware are not coordinated, resource waste, performance degradation and even system breakdown can be caused. Second, software and hardware coordination is critical to the user experience. Resolution adjustment may affect image quality, response time, and fluency. By coordinating software and hardware, better display effect can be provided, the problems of blurring, blocking, delay and the like are avoided, and the user satisfaction is improved. In addition, software and hardware coordination may also help discover potential problems and bottlenecks. By recording the coordination information, the shortage, conflict or deficiency of resources can be timely identified, so that the optimization and improvement can be carried out in a targeted manner, and the stable operation of the system under various resolutions can be ensured. In summary, the coordination of analysis and recording software and hardware is important when the display adjusts different resolutions, which is helpful to optimize resource management and improve user experience, and ensures that the system can operate efficiently and stably under various conditions. Such analysis and recording is a critical step in ensuring display performance and reliability.
The step S300 specifically includes the following:
step S311, under the condition of obtaining the advanced and intermediate management signals, recording coordination information when the display adjusts the resolution, where the coordination information includes a display frame rate, a resolution adjustment frequency, a data volume displayed by each frame, a software graphics demand resource rendered by each frame, a response time of the display screen, and a refresh period of the display, and calculating a soft and hard coordination index of the display by the coordination information, where a calculation formula is as follows:
；
wherein:
is a software and hardware coordination index;
for displaying the frame rate;
adjusting the frequency for resolution;
the amount of data displayed for each frame;
software graphics rendered for each frame require resources;
is a CPU performance factor;
response time of the display screen;
a refresh period for the display;
the soft and hard coordination index is used for measuring the running pressure of the software and hardware at different resolutions in unit time, reflects the coordination ability of the software and hardware, and aims to measure whether the performance of the display can effectively meet the required graphics processing and rendering requirements under specific resolution and display setting so as to ensure that a user obtains good visual experience.
Step S312, collecting data of a plurality of soft and hard coordination indexes in the running period of the display, sequencing the soft and hard coordination indexes from large to small, selecting the maximum value, the middle value and the minimum value of the soft and hard coordination indexes as initial clustering centers, and creating three corresponding initial clusters;
step S313, for each soft and hard coordination index, calculating the distance between the soft and hard coordination index and each cluster center, and distributing the soft and hard coordination index to the cluster closest to the cluster center;
step S314, calculating the average value of all data points in each cluster, and taking the average value as a new cluster center;
step S315, repeatedly executing step S213 and step S214 until the clustering center is not changed, and distributing each software and hardware coordination index into the cluster of the final clustering center to form a final clustering result;
step S316, obtaining a soft-hard coordination difference index, wherein the calculation formula is as follows:
；
wherein:
is a soft-hard coordination difference index;
is the number of clusters;
index for a cluster;
is a cluster->Is the number of data points;
is a cluster->Data points>Software and hardware coordination index values of (a);
is a cluster->The mean value of the software and hardware coordination indexes;
the soft and hard coordination difference index is used for analyzing the overall soft and hard coordination capability trend when the resolution of the display is adjusted, and if the soft and hard coordination difference index is smaller, the soft and hard coordination overall effect is better, and the effect trend is more consistent.
Step S317, comparing the soft-hard coordination difference index with a coordination consistency threshold, if the soft-hard coordination difference index is smaller than the coordination consistency index, indicating that the display resolution adjustment effect is better, and generating a perfect signal; if the soft-hard coordination difference index is greater than or equal to the coordination consistency index, the fact that the soft-hard coordination difference index is larger indicates that the soft-hard coordination is inconsistent or different is existed between the soft-hard coordination, which means that after resolution adjustment, the cooperative work between the soft-hard coordination is subject to some problems or limitations, resulting in poor display effect, performance degradation or other problems, and a readjusting signal is generated.
Under the condition of acquiring high-level and medium-level management signals, the application records the coordination information of the display when the resolution is adjusted, and comprehensively analyzes the information to calculate the soft-hard coordination difference index. And simultaneously, recording the performance data of the display switched to different resolutions, and carrying out summary analysis. By adopting macroscopic integral modes such as cluster analysis and the like to evaluate the adjustment result, the data analysis in multiple directions such as the coordination of software and hardware under different resolutions, the resource management and control and the coordination performance and the like is considered, and the effect is explicitly adjusted based on objective factors. And finally, comparing the soft and hard coordination difference index with a coordination consistency threshold value to generate a perfected signal or a readjusted signal so as to more comprehensively feed back the adjustment effect. The resolution adjustment method is beneficial to better optimizing and managing the resolution adjustment of the display, improving user experience, optimizing system performance, extracting potential problems of clear display, guaranteeing more effective adjustment and helping better improve the service life and the use effect of the display.
FIG. 2 shows an adjustment system for resolution of an LED display screen, comprising a resource data unit, a resource model unit, a resource presentation unit, a coordination data unit, an overall mashup unit and an overall result unit;
the resource data unit is used for acquiring resource parameters when the resolution of the display screen is regulated, acquiring software graphic resource requirements under the current resolution according to the resource parameters, collecting the software graphic resource requirements under different resolutions to construct a data set, and transmitting the data set to the resource model unit;
the resource model unit is used for analyzing the data set to obtain a resource management coefficient, and transmitting the resource management coefficient to the resource display unit;
the resource display unit is used for further analyzing the resource management coefficient to generate different-level management signals, including a high-level management signal, a medium-level management signal and a readjustment signal, and sending the different-level management signals to the coordination data unit;
the coordination data unit is used for obtaining coordination information under different resolutions under the condition of obtaining high-level and medium-level management signals, and sending the coordination information to the integral mashup unit;
the integrated mashup unit is used for comprehensively calculating the coordination information to obtain a soft-hard coordination difference index, and sending the soft-hard coordination difference index to the integrated result unit;
the overall result unit is used for analyzing the soft-hard coordination difference index to generate a perfect signal and a readjustment signal.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (7)
1. The method for adjusting the resolution of the LED display screen is characterized by comprising the following steps of:
step S100, acquiring resource parameters when the resolution of a display screen is regulated, acquiring software graphic resource requirements under the current resolution according to the resource parameters, and collecting the software graphic resource requirements under different resolutions to construct a data set;
step S200, analyzing the data set to obtain a resource management coefficient, and further analyzing the resource management coefficient to generate different levels of management signals, including high-level management signals, medium-level management signals and readjustment signals;
step S300, under the condition of obtaining high-level and medium-level management signals, coordination information under different resolutions is obtained, and the coordination information is comprehensively calculated to obtain a soft-hard coordination difference index;
step S400, analyzing the soft-hard coordination difference index to generate a perfect signal and a readjustment signal;
the step S100 specifically includes the following steps:
the resource parameters comprise a total video memory, a used video memory, graphic resource requirements of task processes and reserved graphic resources;
the graphic resource requirements of the general existing and used video memory and task processes and the reserved graphic resources are comprehensively calculated to obtain the software graphic resource requirements, wherein the calculation formula is as follows:；
in the method, in the process of the application,respectively the software graphic resource requirement, the total video memory, the used video memory and any video memoryGraphical resource requirements for business processes and reserved graphical resources.
2. The method for adjusting resolution of an LED display screen according to claim 1, wherein:
the step S200 specifically includes the following:
recording software graphic resource demand data regulated to each resolution, and counting the data structure data sets;
sequentially sequencing the data in the data set from small to large according to the resolution ratio, and calculating a resource management coefficient, wherein the calculation formula is as follows:
；
in the method, in the process of the application,for resource management coefficients, ++>Representing +.>Data of->Mean value of logarithmic data>Represents the data sequence number->=1、2、……、/>，/>Is a positive integer>Representing the total number of data.
3. The method for adjusting resolution of an LED display screen according to claim 2, wherein:
comparing the resource management coefficient with the first display quality threshold and the second display quality threshold respectively, and generating an advanced management signal if the resource management coefficient is smaller than the first display quality threshold; when the resource management coefficient is greater than or equal to the display quality threshold, generating a readjustment signal; and if the resource management coefficient is larger than or equal to the first display quality threshold and smaller than the second display quality threshold, generating a medium-level management signal.
4. A method for adjusting resolution of an LED display according to claim 3, wherein:
the step S300 specifically includes the following:
step S311, under the condition of obtaining the advanced and intermediate management signals, recording coordination information when the display adjusts the resolution, where the coordination information includes a display frame rate, a resolution adjustment frequency, a data volume displayed by each frame, a software graphics demand resource rendered by each frame, a response time of the display screen, and a refresh period of the display, and calculating a soft and hard coordination index of the display by the coordination information, where a calculation formula is as follows:
；
wherein:
is a software and hardware coordination index;
for displaying the frame rate;
adjusting the frequency for resolution;
the amount of data displayed for each frame;
software graphics rendered for each frame require resources;
is a CPU performance factor;
response time of the display screen;
is the refresh period of the display.
5. The method for adjusting resolution of an LED display screen according to claim 4, wherein:
step S312, collecting data of a plurality of soft and hard coordination indexes in the running period of the display, sequencing the soft and hard coordination indexes from large to small, selecting the maximum value, the middle value and the minimum value of the soft and hard coordination indexes as initial clustering centers, and creating three corresponding initial clusters;
step S313, for each soft and hard coordination index, calculating the distance between the soft and hard coordination index and each cluster center, and distributing the soft and hard coordination index to the cluster closest to the cluster center;
step S314, calculating the average value of all data points in each cluster, and taking the average value as a new cluster center;
step S315, repeatedly executing step S213 and step S214 until the clustering center is not changed, and distributing each software and hardware coordination index into the cluster of the final clustering center to form a final clustering result;
step S316, obtaining a soft-hard coordination difference index, wherein the calculation formula is as follows:
；
wherein:
is a soft-hard coordination difference index;
is the number of clusters;
index for a cluster;
is a cluster->Is the number of data points;
is a cluster->Data points>Software and hardware coordination index values of (a);
is a cluster->The mean of the hardware and software coordination index.
6. The method for adjusting resolution of an LED display screen according to claim 5, wherein:
step S317, comparing the soft-hard coordination difference index with a coordination consistency threshold, and generating a perfect signal if the soft-hard coordination difference index is smaller than the coordination consistency index; and if the soft-hard coordination difference index is greater than or equal to the coordination consistency index, generating a readjusting signal.
7. An adjustment system for resolution of an LED display screen, configured to implement the adjustment method for resolution of an LED display screen according to any one of claims 1 to 6, including a resource data unit, a resource model unit, a resource presentation unit, a coordination data unit, an overall mashup unit, and an overall result unit;
the resource data unit is used for acquiring resource parameters when the resolution of the display screen is regulated, acquiring software graphic resource requirements under the current resolution according to the resource parameters, collecting the software graphic resource requirements under different resolutions to construct a data set, and transmitting the data set to the resource model unit;
the resource model unit is used for analyzing the data set to obtain a resource management coefficient, and transmitting the resource management coefficient to the resource display unit;
the resource display unit is used for further analyzing the resource management coefficient to generate different-level management signals, including a high-level management signal, a medium-level management signal and a readjustment signal, and sending the different-level management signals to the coordination data unit;
the coordination data unit is used for obtaining coordination information under different resolutions under the condition of obtaining high-level and medium-level management signals, and sending the coordination information to the integral mashup unit;
the integrated mashup unit is used for comprehensively calculating the coordination information to obtain a soft-hard coordination difference index, and sending the soft-hard coordination difference index to the integrated result unit;
the overall result unit is used for analyzing the soft-hard coordination difference index to generate a perfect signal and a readjustment signal.
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