CN111767181B - Large-scale cluster management system for LED display screen - Google Patents
Large-scale cluster management system for LED display screen Download PDFInfo
- Publication number
- CN111767181B CN111767181B CN202010604933.7A CN202010604933A CN111767181B CN 111767181 B CN111767181 B CN 111767181B CN 202010604933 A CN202010604933 A CN 202010604933A CN 111767181 B CN111767181 B CN 111767181B
- Authority
- CN
- China
- Prior art keywords
- led display
- display screen
- error
- component
- classification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
- G06F11/2221—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test input/output devices or peripheral units
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2289—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by configuration test
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2294—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by remote test
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3604—Software analysis for verifying properties of programs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3664—Environments for testing or debugging software
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
- G06F3/147—Digital output to display device ; Cooperation and interconnection of the display device with other functional units using display panels
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Computer Hardware Design (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Human Computer Interaction (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Devices For Indicating Variable Information By Combining Individual Elements (AREA)
Abstract
The invention discloses a large-scale cluster management system for LED display screens, which relates to the technical field of LED display screen management and comprises a plurality of LED display screens and an error checking assembly which are connected in sequence, the LED display screen comprises a classification marking component and a classification and rating component, wherein the error checking component is used for detecting errors generated by the LED display screen, the classification marking component is used for classifying all the errors and selecting the errors generated by the quality reasons of the LED display screen for marking, the classification and rating component is used for classifying the marking contents, recording the occurrence times of the same error and grading the same error in real time, the classification and rating component is connected with a production quality inspection component and a maintenance and repair component, the production quality inspection component is used for performing additional safety quality inspection with different weights on a newly produced LED display screen according to the error grading condition, and the maintenance and repair component is used for performing additional safety maintenance with different weights on the LED display screen according to the error grading condition. The invention has the advantages of high efficiency, reliability and high cost performance and improves the safety level.
Description
Technical Field
The invention relates to the technical field of LED display screen management, in particular to a large-scale cluster management system for an LED display screen.
Background
The LED display screen integrates the microelectronic technology, the computer technology and the information processing, and has the advantages of bright color, wide dynamic range, high brightness, long service life, stable and reliable work and the like. With the continuous progress of living standards, more and more LED display screens are visible for people, and are widely applied to commercial media, cultural performance markets, stadiums, information dissemination, news distribution, stock exchange and the like, and can meet the requirements of different environments, so that the LED display screens play a very important role, and the LED display screens can be operated safely and stably, when the existing large-scale LED display screens are operated and maintained, the operation and maintenance are carried out only through a business party, an integral management system is not provided, large-scale parallel processing and comparison are not carried out, similar problem records cannot be formed, safety problems occurring in the use process of the LED display screens cannot be processed in a targeted and efficient manner, the potential safety hazards cannot be solved fundamentally and rapidly, the progress of safety performance cannot be promoted or rapidly, and therefore how to more efficiently and reliably improve the safety level of the large-scale LED display screens, this is the direction of investigation by those skilled in the art.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a large-scale cluster management system for LED display screens, which is used for rapidly improving the safety level of all LED display screens in a mode of extremely high cost performance by performing overall multi-aspect inspection, marking, rating and cloud recording on errors of the large-scale LED display screens and determining the weight of an extra detection inspection direction from operation, maintenance and production.
The utility model provides a LED is extensive cluster management system for display screen, is including a plurality of LED display screens, error check subassembly, categorised mark subassembly and the classification rating subassembly that connects gradually, the error check subassembly is used for detecting the error that the LED display screen takes place, the categorised mark subassembly is used for all error classifications and chooses the mistake that is produced by LED display screen quality reason to mark, the classification rating subassembly is used for categorizing mark content, recording same mistake number of times and grading in real time to it, the production quality inspection subassembly and maintenance subassembly are connected to the classification rating subassembly, the production quality inspection subassembly is used for carrying out the safety inspection of extra different weights to the new production LED display screen according to the mistake classification condition, maintenance subassembly is used for carrying out the safety maintenance of extra different weights to the LED display screen according to the mistake classification condition. The method comprises the steps of firstly, carrying out detection and analysis on specific errors of a plurality of LED display screens through an error detection assembly, determining the type of each error after detection, and then further analyzing the errors through the error types, so that the detection efficiency of all the errors of the LED display screens can be improved, and the accuracy of error analysis can be effectively improved; screening all errors by a classification marking assembly, screening errors generated by the quality reasons of the LED display screen, and respectively marking the screened errors, wherein the rest errors except the errors generated by the quality reasons of the LED display screen are not marked; and classifying all the marks through a classification and rating component, counting the real-time accumulated times of each mark, and grading the marks in real time according to the accumulated times, wherein the object for which the whole counted times are the marks, so that the error is not required to be counted, the counting time is greatly saved, and meanwhile, the counting result is not easy to make an error.
Preferably, a plurality of the LED display screens form an LED display screen group, and the plurality of the LED display screen groups are connected with the error checking assembly. All the LED display screens can be grouped, and it needs to be explained that all the LED display screens are divided into LED display screen groups according to preset requirements, wherein the preset requirements can be grouping standards according to functions (different types of LED display screens have different functions), installation environments (media centers, elevators, cultural performance markets, stadiums, stock exchanges), models (LED display screens have various models) and regions (XX streets, XX cities, XX countries and the like).
Preferably, the error checking component comprises a hardware error online checking module and a software error online checking module, and is used for performing online checking on the LED display screen in the using process in terms of both software problems and hardware problems. All errors can be simply divided into hardware errors and software errors, and self-checking operation is carried out through aspects such as online self-checking programs of the Internet of things, networking self-checking of internal programs of the LED display screen, automatic error reporting of internal circuits of the LED display screen and the like.
Preferably, the hardware error check module comprises a port self-check unit, an installation connection error unit and a network error unit, and the software error check module comprises an operating system error unit, a dependent environment error unit, a parameter configuration error unit and a self BUG unit. The hardware error check is mainly realized by the following units: the method comprises the following steps of carrying out self-checking on line port errors of the LED display screen through a port self-checking unit, carrying out self-checking on structural installation or line installation of the LED display screen through an installation connection error unit, and carrying out self-checking on network connection of the LED display screen through a network error unit; the software error check is mainly realized by the following units: the operating system of the LED display screen is self-checked through the operating system error unit, the program dependence environment of the LED display screen is self-checked through the dependence environment error unit, the parameter setting aspect of the LED display screen is self-checked through the parameter configuration error unit, and the program BUG of the LED display screen is self-checked through the self BUG error unit.
Preferably, the error checking component further comprises a service side reporting module, and the service side reporting module is used for recording all software errors and hardware errors recorded offline by the service side. Because all errors can not be detected by online detection, errors found by a service party in the specific operation and maintenance process of the LED display screen in the using process need to be recorded, so that the collection integrity of the errors is effectively improved, and the scientificity and reliability of the subsequent marking and grading results are improved.
Preferably, the classification marking assembly comprises a classification module and a marking module, the classification module is used for sorting errors caused by the quality reasons of the LED display screen from all the errors, the marking module is used for marking the errors sorted by the classification module, and the same mark is adopted for the same errors. Errors caused by the quality reasons of the LED display screen can be directly selected from all errors through the classification marking assembly and marked, and the marking process is carried out in a mode of one or more of numbers, letters and symbols.
Preferably, the classification module comprises a hardware problem unit, a software problem unit and a service provider problem unit. Errors such as port connection damage, mounting structure damage, man-machine interaction structure damage and the like can be selected through the hardware problem unit, errors such as operating system faults, kernel data packet loss, power module storage faults and the like can be selected through the software problem unit, and errors reported by a service provider and related to the LED display screen can be selected through the service provider problem unit.
Preferably, the classification and rating unit comprises a mark classification module and a mark frequency priority rating module, the mark classification module is used for corresponding and grouping all marks and the LED display screen group, and the mark frequency priority rating module performs classification according to the statistical frequency of each mark. The mark classification module is used for corresponding to the LED display screen group, and a plurality of errors on different LED display screens in the same LED display screen group can be classified with the LED display screen group standard.
Preferably, the mark number priority module includes a primary unit, a medium unit and a high unit for rating the plurality of marks as a primary priority, a medium priority or a high priority, respectively. According to the statistical times of each mark, all marks are sorted by a mark time priority rating module, and the primary priority, the middle priority or the high priority of all marks in the sorting is rated by preset standards in a primary unit, a middle unit and a high unit, wherein the preset standards can be the following modes: (1) weight proportion mode: of all the number of flags, the number of primary priorities: number of medium priority: the number of high-level priorities is X1: X2: X3; (2) the mode of a time line: the primary priority is the number of times that the same marker is repeated less than Y1 times, the medium priority is the number of times that the same marker is repeated equal to or more than Y1 times and less than Y2 times, and the high priority is the number of times that the same marker is repeated equal to or more than Y2 times. The statistical times of all the marks are real-time, so that the whole priority assessment is also real-time, and the reliability of the whole management system can be effectively improved.
Preferably, the classification and rating component is connected with the internet of things component and is used for uploading the rating content formed by the classification and rating component to the cloud platform. All data in the management system can be uploaded to the cloud platform through the Internet of things component, when each module in the management system completes the function of the management system, wrong associated information can be downloaded through the Internet of things, and comparison is performed through a previous processing mode, so that the processing efficiency and the processing effect of each module are effectively improved, and the reliability of the whole management system is effectively improved.
The invention has the beneficial effects that:
1. according to the invention, errors of large-scale LED display screens are inspected and marked in multiple aspects in the whole process, and the proportion weight of each mark is derived according to the repetition times of all marks according to the preset standard, so that errors with more times are screened out, and the additional detection and inspection directions of producing quality inspection components and maintaining and repairing components are determined according to the errors, so that the safety performance of all used and newly added LED display screens in the whole management system is improved in a targeted manner on the basis of high cost performance operation and maintenance cost and quality inspection cost, and the safety level of all LED display screens is further improved efficiently.
2. According to the invention, specific errors of the plurality of LED display screens are detected and analyzed through the error detection component, the type of each error can be confirmed after detection, and then the errors are further analyzed through the error types, so that the detection efficiency of all the errors of the LED display screens can be improved, and the accuracy of error analysis can be effectively improved.
3. In the invention, all the marks are classified by the classification and rating component, the real-time accumulated times of each mark are counted at the same time, and then the marks are classified in real time according to the accumulated times, the object of the whole counting times is the mark number, the error per se is not needed to be counted, the counting time is greatly saved, and meanwhile, the counting result is not easy to make an error.
4. In the invention, all errors can not be detected by online detection, so that errors found in the specific operation and maintenance process of the LED display screen in the using process by a service party need to be recorded, thereby effectively improving the collection integrity of the errors and further improving the scientificity and reliability of the subsequent marking and grading results.
5. In the invention, all error checks are increased in real time, and the statistical times of the marks are changed in real time, so that the whole priority assessment is also changed in real time, and the reliability of the whole management system can be effectively improved.
6. According to the invention, all data in the management system can be uploaded to the cloud platform through the Internet of things component, when each module in the management system completes the function of the management system, wrong associated information can be downloaded through the Internet of things, and the information is compared with the previous processing mode, so that the processing efficiency and the processing effect of each module are effectively improved, and the reliability of the whole management system is effectively improved.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a schematic connection diagram of a large-scale cluster management system for an LED display screen according to an embodiment of the present invention;
FIG. 2 is a schematic connection diagram of an error checking component of a large-scale cluster management system for an LED display screen according to an embodiment of the present invention;
fig. 3 is a schematic connection diagram of a classification and marking component of a large-scale cluster management system for an LED display screen according to an embodiment of the present invention;
fig. 4 is a schematic connection diagram of a classification and rating component of a large-scale cluster management system for an LED display screen according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
In the description of the embodiments of the present invention, it should be noted that the terms "inside", "outside", "upper", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally arranged when products of the present invention are used, and are only used for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the devices or elements indicated must have specific orientations, be constructed in specific orientations, and operated, and thus, cannot be construed as limiting the present invention.
As shown in fig. 1 to 4, a large-scale cluster management system for LED display screens includes a plurality of LED display screens, an error checking component, a classification marking component, and a classification rating component connected in sequence, the error checking component is used for detecting errors generated by the LED display screen, the classification marking component is used for classifying all errors and selecting errors generated by the quality reasons of the LED display screen for marking, the classification rating component is used for classifying the marked contents, recording the occurrence times of the same errors and grading the same in real time, the classification and rating component is connected with the production quality inspection component and the maintenance and repair component, the production quality inspection component is used for carrying out additional safety quality inspection with different weights on the newly produced LED display screen according to error classification conditions, and the maintenance and repair assembly is used for carrying out additional safety maintenance with different weights on the LED display screen according to the error grading condition.
In the embodiment, specific errors of the plurality of LED display screens are detected and analyzed through the error detection assembly, the type of each error can be confirmed after detection, and then the errors are further analyzed through the error types, so that the detection efficiency of all the errors of the LED display screens can be improved, and the accuracy of error analysis can be effectively improved; screening all errors by a classification marking assembly, screening errors generated by the quality reasons of the LED display screen, and respectively marking the screened errors, wherein the rest errors except the errors generated by the quality reasons of the LED display screen are not marked; classifying all the marks through a classification and rating component, simultaneously counting the real-time accumulated times of each mark, and grading the marks in real time according to the accumulated times, wherein the object for which the whole counted times are the marks, so that the error per se is not needed to be counted, the counting time is greatly saved, and meanwhile, the counting result is not easy to make an error; the whole management system aims to manage all the LED display screens, and derive the proportion weight of each mark according to the repetition times of all the marks according to a preset standard, so that errors with more times are screened out, and the extra detection and inspection directions of a quality inspection assembly and a maintenance and repair assembly are determined according to the errors, so that the safety performance of all the used and newly added LED display screens in the whole management system is improved in a targeted manner on the basis of high cost performance operation and maintenance cost and quality inspection cost, and the safety level of all the LED display screens is further improved efficiently.
Specifically, a plurality of LED display screens form an LED display screen group, and the plurality of LED display screen groups are all connected with the error checking assembly.
In this embodiment, all the LED display screens may be grouped, and it should be noted that all the LED display screens are divided into LED display screen groups according to preset requirements, where the preset requirements may be grouping standards according to functions (different types of LED display screens have different functions), installation environments (media centers, elevators, cultural performance markets, stadiums, stock exchanges), models (LED display screens have various models), and regions (XX streets, XX cities, XX countries, etc.).
Specifically, the error checking assembly comprises a hardware error online checking module and a software error online checking module, and is used for performing online checking on the software problem and the hardware problem of the LED display screen in the using process.
In this embodiment, it should be noted that all errors can be simply divided into hardware errors and software errors, and the self-checking operation is performed through the online self-checking program of the internet of things, the networking self-checking of the internal program of the LED display screen, the automatic error reporting of the internal circuit of the LED display screen, and the like.
Specifically, the hardware error check module comprises a port self-check unit, an installation connection error unit and a network error unit, and the software error check module comprises an operating system error unit, a dependent environment error unit, a parameter configuration error unit and a self BUG error unit.
In this embodiment, it should be noted that the hardware error check is mainly implemented by the following units: the method comprises the following steps of carrying out self-checking on line port errors of the LED display screen through a port self-checking unit, carrying out self-checking on structural installation or line installation of the LED display screen through an installation connection error unit, and carrying out self-checking on network connection of the LED display screen through a network error unit; the software error check is mainly realized by the following units: the operating system of the LED display screen is self-checked through the operating system error unit, the program dependence environment of the LED display screen is self-checked through the dependence environment error unit, the parameter setting aspect of the LED display screen is self-checked through the parameter configuration error unit, and the program BUG of the LED display screen is self-checked through the self BUG error unit.
Specifically, the error checking component further comprises a service side reporting module, and the service side reporting module is used for recording all software errors and hardware errors recorded offline by the service side.
In this embodiment, since all errors cannot be detected by online detection, it is necessary to record the errors found by the service party in the specific operation and maintenance process of the LED display screen in the using process, so as to effectively improve the collection integrity of the errors, and further improve the scientificity and reliability of the results of subsequent marking and grading.
Specifically, the classification marking assembly comprises a classification module and a marking module, wherein the classification module is used for sorting errors caused by the quality reasons of the LED display screen from all the errors, the marking module is used for marking the errors sorted by the classification module, and the same mark is adopted for the same errors.
In this embodiment, it should be noted that, the classification and marking component can directly select errors caused by the quality reasons of the LED display screen from all errors and mark the errors, and the marking process is performed by using one or more combinations of numbers, letters and symbols.
Specifically, the classification module comprises a hardware problem unit, a software problem unit and a service provider problem unit.
In this embodiment, it should be noted that errors such as port connection damage, mounting structure damage, and human-computer interaction structure damage can be selected by the hardware problem unit, errors such as operating system failure, kernel data packet loss, and power module storage failure can be selected by the software problem unit, and errors reported by the service provider and related to the LED display screen itself can be selected by the service provider problem unit.
Specifically, the classification and rating unit comprises a mark classification module and a mark frequency priority rating module, the mark classification module is used for corresponding and grouping all marks and the LED display screen group, and the mark frequency priority rating module performs classification according to the statistical frequency of each mark.
In this embodiment, it should be noted that the mark classifying module is used to correspond to the LED display screen group, and a plurality of errors on different LED display screens in the same LED display screen group can be classified according to the LED display screen group standard.
Specifically, the mark number priority evaluation module comprises a primary unit, a medium unit and a high unit, and is used for evaluating a plurality of marks as a primary priority, a medium priority or a high priority respectively.
In this embodiment, all tags are sorted according to the statistical number of each tag and by the tag number priority rating module, and the primary priority, the medium priority or the high priority is rated for all tags in the sort by the preset criteria in the primary unit, the medium unit and the high unit.
TABLE 1
| Preset standard | Primary priority | Intermediate priority | High priority |
| Weight ratio | X1 | X2 | X3 |
TABLE 2
| Preset standard | Primary priority | Intermediate priority | High priority |
| Number line | ＜Y1 | ≥Y1，＜Y2 | ≥Y2 |
The preset standard can be the following mode:
(1) weight ratio mode. Of all the number of flags, the number of primary priorities: number of medium priority: the number of high priority levels, X1: X2: X3, is shown in table 1.
(2) A line-by-line approach. The primary priority is the number of repetitions of the same label less than Y1, the medium priority is the number of repetitions of the same label equal to or greater than Y1 and less than Y2, and the high priority is the number of repetitions of the same label equal to or greater than Y2, as shown in table 2.
The statistical times of all the marks are real-time, so that the whole priority assessment is also real-time, and the reliability of the whole management system can be effectively improved.
Specifically, the classification and rating component is connected with the Internet of things component and used for uploading the rating content formed by the classification and rating component to the cloud platform.
In this embodiment, all data in the management system can be uploaded to the cloud platform through the internet of things component, and when each module in the management system completes the function thereof, the relevant information of error can be downloaded through the internet of things, and the comparison is performed through the processing mode before, so that the processing efficiency and the processing effect of each module are effectively improved, and the reliability of the whole management system is effectively improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A large-scale cluster management system for LED display screens is characterized by comprising a plurality of LED display screens, an error checking component, a classification marking component and a classification rating component which are connected in sequence, the error checking component is used for detecting errors generated by the LED display screen, the classification marking component is used for classifying all errors and selecting errors generated by the quality reasons of the LED display screen for marking, the classification rating component is used for classifying the marked contents, recording the occurrence times of the same errors and grading the same in real time, the classification and rating component is connected with a production quality inspection component and a maintenance and repair component, the production quality inspection component is used for carrying out additional safety quality inspection with different weights on the newly produced LED display screen according to the error classification condition, and the maintenance and repair assembly is used for carrying out additional safety maintenance with different weights on the LED display screen according to the error grading condition.
2. The large-scale cluster management system for the LED display screens as claimed in claim 1, wherein a plurality of the LED display screens form a LED display screen group, and the plurality of the LED display screen groups are connected with the error checking assembly.
3. The large-scale cluster management system for the LED display screens as claimed in claim 2, wherein the error checking component comprises a hardware error on-line checking module and a software error on-line checking module, and is used for performing on-line checking on the LED display screens in use in terms of both software problems and hardware problems.
4. The large-scale cluster management system for the LED display screen, according to claim 3, wherein the hardware error check module comprises a port self-check unit, an installation connection error unit and a network error unit, and the software error check module comprises an operating system error unit, a dependent environment error unit, a parameter configuration error unit and a self BUG error unit.
5. The large-scale cluster management system for the LED display screen, according to claim 4, wherein the error checking component further comprises a service side reporting module, and the service side reporting module is used for recording all software errors and hardware errors recorded under a service side line.
6. The large-scale cluster management system for the LED display screen, according to claim 5, wherein the classification marking component comprises a classification module and a marking module, the classification module is used for sorting the errors caused by the quality reasons of the LED display screen from all the errors, the marking module is used for marking the errors sorted by the classification module, and the same mark is adopted for the same errors.
7. The large-scale cluster management system for the LED display screen, according to claim 6, wherein the classification module comprises a hardware problem unit, a software problem unit and a service provider problem unit.
8. The large-scale cluster management system for the LED display screens according to claim 7, wherein the classification and rating unit comprises a mark classification module and a mark frequency priority module, the mark classification module is used for corresponding and grouping all marks with the LED display screen groups, and the mark frequency priority module is used for grading according to the statistical frequency of each mark.
9. The large-scale cluster management system for the LED display screen, according to claim 8, wherein the mark number priority rating module comprises a primary unit, a medium unit and a high unit, and is used for rating a plurality of marks as a primary priority, a medium priority or a high priority respectively.
10. The large-scale cluster management system for the LED display screens according to any one of claims 1 to 9, wherein the classification and rating component is connected with an Internet of things component and is used for uploading the rating content formed by the classification and rating component to a cloud platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010604933.7A CN111767181B (en) | 2020-06-29 | 2020-06-29 | Large-scale cluster management system for LED display screen |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010604933.7A CN111767181B (en) | 2020-06-29 | 2020-06-29 | Large-scale cluster management system for LED display screen |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111767181A CN111767181A (en) | 2020-10-13 |
| CN111767181B true CN111767181B (en) | 2021-11-02 |
Family
ID=72724390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010604933.7A Active CN111767181B (en) | 2020-06-29 | 2020-06-29 | Large-scale cluster management system for LED display screen |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111767181B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116698376B (en) * | 2023-08-08 | 2023-11-07 | 徐州隆运好信息科技有限公司 | Intelligent testing method for quality uniformity of outdoor spliced display screen based on scene simulation |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105261329A (en) * | 2015-11-26 | 2016-01-20 | 西安诺瓦电子科技有限公司 | Multi-LED display module management method |
| CN105894214A (en) * | 2016-05-03 | 2016-08-24 | 叶江鹏 | Method, device and system for intelligent management of assembly line |
| CN106326024A (en) * | 2016-08-16 | 2017-01-11 | 国家超级计算深圳中心(深圳云计算中心) | Cluster management system error check method and device based on LSF (Load Sharing Facility) platform |
| CN107122321A (en) * | 2016-02-24 | 2017-09-01 | 广达电脑股份有限公司 | Hardware restorative procedure, hardware repair system and embodied on computer readable storage device |
| CN107729252A (en) * | 2013-07-09 | 2018-02-23 | 甲骨文国际公司 | Method and system for reducing instability when upgrading software |
| CN110728936A (en) * | 2019-10-31 | 2020-01-24 | 重庆唐码传媒有限公司 | LED display screen fault monitoring management system |
| CN110825578A (en) * | 2018-08-13 | 2020-02-21 | 广达电脑股份有限公司 | Method for automatically managing hardware error events occurring in a data center system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7797060B2 (en) * | 2007-02-27 | 2010-09-14 | Rockwell Automation Technologies, Inc. | Prioritization associated with controller engine instances |
| US10868742B2 (en) * | 2017-03-29 | 2020-12-15 | Juniper Networks, Inc. | Multi-cluster dashboard for distributed virtualization infrastructure element monitoring and policy control |
-
2020
- 2020-06-29 CN CN202010604933.7A patent/CN111767181B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107729252A (en) * | 2013-07-09 | 2018-02-23 | 甲骨文国际公司 | Method and system for reducing instability when upgrading software |
| CN105261329A (en) * | 2015-11-26 | 2016-01-20 | 西安诺瓦电子科技有限公司 | Multi-LED display module management method |
| CN107122321A (en) * | 2016-02-24 | 2017-09-01 | 广达电脑股份有限公司 | Hardware restorative procedure, hardware repair system and embodied on computer readable storage device |
| CN105894214A (en) * | 2016-05-03 | 2016-08-24 | 叶江鹏 | Method, device and system for intelligent management of assembly line |
| CN106326024A (en) * | 2016-08-16 | 2017-01-11 | 国家超级计算深圳中心(深圳云计算中心) | Cluster management system error check method and device based on LSF (Load Sharing Facility) platform |
| CN110825578A (en) * | 2018-08-13 | 2020-02-21 | 广达电脑股份有限公司 | Method for automatically managing hardware error events occurring in a data center system |
| CN110728936A (en) * | 2019-10-31 | 2020-01-24 | 重庆唐码传媒有限公司 | LED display screen fault monitoring management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111767181A (en) | 2020-10-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109255041B (en) | Intelligent identification method for electrical drawing | |
| CN110021005A (en) | Circuit board flaw screening technique and its device and computer-readable recording medium | |
| US20120185818A1 (en) | Method for smart defect screen and sample | |
| CN114219799A (en) | Intelligent manufacturing defective product analysis method and system | |
| CN114519524A (en) | Enterprise risk early warning method and device based on knowledge graph and storage medium | |
| CN111767181B (en) | Large-scale cluster management system for LED display screen | |
| CN111984442A (en) | Method and device for detecting abnormality of computer cluster system, and storage medium | |
| CN114493619A (en) | Enterprise credit investigation label construction method based on electric power data | |
| CN110703183A (en) | Intelligent electric energy meter fault data analysis method and system | |
| CN111274056B (en) | Self-learning method and device for fault library of intelligent electric energy meter | |
| CN101706898A (en) | Europe-exported consumer goods security risk assessment early warning system and method for inspection and quarantine | |
| CN114785710A (en) | Method and system for evaluating service capability of industrial internet identification analysis secondary node | |
| CN113901667A (en) | Method for evaluating building collapse risk in fire | |
| CN115314424B (en) | Method and device for rapidly detecting network signals | |
| CN115292969B (en) | Equipment outfield reliability assessment method and system based on factory and repair data | |
| CN111737993A (en) | Method for extracting health state of equipment from fault defect text of power distribution network equipment | |
| CN112732773B (en) | Method and system for checking uniqueness of relay protection defect data | |
| CN117635905A (en) | Intelligent monitoring method for electric energy meter attachment quality based on image recognition algorithm | |
| CN112184004B (en) | Elevator maintenance quality analysis method based on K-Means | |
| CN116955071A (en) | Fault classification method, device, equipment and storage medium | |
| CN115473740A (en) | Anomaly detection method and system based on heterogeneous process | |
| CN115841263A (en) | Incoming material mobile inspection quality management system | |
| CN112967066A (en) | Distribution automation equipment detects overall process management and control analytic system | |
| CN113919799B (en) | Method and system for auditing controller cluster data by cloud management platform | |
| CN111767018A (en) | Large-scale cluster management method and system for LED display screen and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |