CN115565470A - Fault processing method applied to LED display screen and cloud platform - Google Patents
Fault processing method applied to LED display screen and cloud platform Download PDFInfo
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- CN115565470A CN115565470A CN202211188503.7A CN202211188503A CN115565470A CN 115565470 A CN115565470 A CN 115565470A CN 202211188503 A CN202211188503 A CN 202211188503A CN 115565470 A CN115565470 A CN 115565470A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
- G09G2330/12—Test circuits or failure detection circuits included in a display system, as permanent part thereof
Abstract
The method comprises the steps of acquiring a display screen image of a fault LED display screen and operation attribute parameters of the corresponding fault LED display screen, uploading the acquired display screen image and the operation attribute parameters to an LED display screen fault processing and analyzing platform, calculating and analyzing data, and obtaining a corresponding fault type according to a data analysis result; the method comprises the steps that the position of a fault is accurately found and timely adjusted by combining with related data calculation, the data result generated by the LED display screen with the fault is transmitted into a special database of the LED display screen, the database is also used as a database with a first priority, the special database of the LED display screen is stored and updated when the fault problem occurs in the fault LED display screen, and the relevance of the LED display screen with the fault type is found out; not only can save a large amount of detection time, but also can quickly locate the position where the fault occurs and solve the problem; repeated repairs to the fault type are avoided and the fault-related type can be detected for a target.
Description
Technical Field
The invention belongs to the technical field of LED display screen fault processing methods and cloud platforms, and particularly relates to an LED display screen fault processing method and a cloud platform.
Background
The LED display screen is frequently appeared in our daily life, and plays an important role in entertainment and life for people; once the LED display screen is abnormally operated, the appearance of the played content of the LED display screen is seriously influenced, and in a serious case, if the LED display screen is not processed in time, the potential danger of devices in the LED display screen is caused; therefore, in order to accurately find the fault occurrence position by combining with related data calculation and timely adjust the fault occurrence position after the LED display screen is abnormal, the further damage rate of the LED display screen is reduced; however, for the LED display screen, the LED display screen can be easily and blindly maintained under the condition that the fault type of the LED display screen is not determined; such blind repair of the LED display screen is very likely to result in serious dangerous accidents.
On one hand, in the existing maintenance of the LED display screen, the collected fault related data is less, the problem of the LED display screen fault and the position of the LED display screen fault cannot be accurately mastered, a large amount of detection time can be wasted, and the fault position and the solution cannot be quickly positioned; on the other hand, the relevance of the LED display screen with the fault type is not found, the fault type is repeatedly repaired, and the type related to the fault can not be detected.
Disclosure of Invention
Based on the technical problems, the invention provides a fault processing method applied to an LED display screen and a cloud platform aiming at the LED display screen fault processing method; the method not only can quickly locate the position and the solution of the fault, but also can find out the correlation of the LED display screen with the fault type in the database.
The invention is realized by the following steps:
the invention provides a fault processing method applied to an LED display screen and a cloud platform, wherein the method applies a data acquisition module, an LED display screen fault processing analysis platform, an image fault processing end module, a data fault processing end module, a personnel terminal receiving device and a special database of the LED display screen; characterized in that the method comprises the steps of:
step1, when an LED display screen has an operation fault, acquiring a display screen image of the fault LED display screen and an operation attribute parameter of the corresponding fault LED display screen;
step 2: the method comprises the following steps of automatically uploading display screen images and operation attribute parameters of the LED display screen to an LED display screen fault processing and analyzing platform for calculation and analysis, and determining a fault type corresponding to the fault LED display screen according to a calculation data result, wherein the operation method for determining the fault type comprises the following steps:
step 2.1: automatically uploading display screen images and operation attribute parameters of the LED display screen to an LED display screen fault processing and analyzing platform;
step 2.2: the LED display screen fault processing and analyzing platform is used for calculating, processing and analyzing a display screen image and an operation attribute parameter of the LED display screen;
step 2.3: determining the fault type corresponding to the fault LED display screen according to the calculation result;
and step 3: identifying and judging the fault type corresponding to the fault LED display screen, if the fault type is an image fault type, extracting a corresponding processing method from an LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step 4; if the type of the data fault is the data fault type, extracting a corresponding processing method from the LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step 5; if the type of the double faults is the double fault type, extracting a corresponding processing method from the LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step5 firstly and then executing the step 4;
and 4, step 4: according to a picture similarity algorithm for the image in the LED display screen fault processing and analyzing platform, directly retrieving a processing method corresponding to the fault LED display screen image; determining the range degree of the fault LED display screen for processing the image through the image fault processing end module by combining the acquired ratio of the abnormal area to the normal area of the image, and completely transmitting corresponding data to the personnel terminal receiving equipment;
and 5: calculating the collected operation attribute parameters according to the LED display screen fault processing and analyzing platform, and determining the specific fault position of the LED display screen; determining the range degree of the fault position processed by the fault LED display screen through the data fault processing terminal module, and completely transmitting corresponding data to the personnel terminal receiving equipment;
and 6: and transmitting a data result generated by the LED display screen with the fault into a special database of the LED display screen, wherein the database is also used as a database with a first priority, and the special database of the LED display screen is saved and updated when the fault problem occurs in the LED display screen with the fault.
According to an implementation manner of the aspect of the present invention, the specific operation method for acquiring the screen image and the operation attribute parameter in step1 includes:
the fault LED display screen acquires screen images including fault picture full-color images, namely pure black, pure white, pure red, pure green and pure blue; marking the acquired screen image of the fault LED display screen as Xa, wherein alpha =0,1,2,3,4 and 5; the operation of the fault LED display screen belongs to the parameters of substrate temperature, communication network data, circuit board data and the like; marking collected operation attribute parameter values of fault LED display screen
Wherein β =0,1,2, · n; and n is a positive integer and represents the maximum value of the values of the beta in the operation attribute parameters.
According to an implementation manner of the aspect of the present invention, the method for performing calculation processing and analysis operation on the display screen image and the operation attribute parameter of the LED display screen by the LED display screen fault processing and analyzing platform in step 2.2 includes:
according to the characteristic of the LED display screen fault screen image, comparing the variance of the preset LED display screen pixel points by a picture similarity algorithm to determine the fault type;
assuming that the width of the screen image pixel points is i, and the length of the screen image pixel points is j;
image fault type calculation step:
step1 zooming picture
The picture to be processed is placed to a specified size, and the size of the zoomed picture is determined by the information content and the complexity of the picture; flexible scaling, maintaining a balance between efficiency and accuracy;
step2 gray scale processing
Processing the collected screen image into a gray scale image;
step3 calculation of average value
Giving a specific value to each pixel point by a Hash algorithm, respectively calculating the average value of each row of pixel points of the image in sequence, and recording the average value of each row of pixel points; each average corresponds to a feature of a row;
according to an algorithm formula:
step4 calculating variance
Calculating the variance of all the obtained average values, wherein the obtained variance is the characteristic value of the image; the variance can well reflect the fluctuation of the pixel characteristics of each line, and the main information of the picture is recorded;
according to an algorithm formula:
m represents the average value of the average values of the pixel points in each row;
S 2 representing the variance value of a pixel point of a picture;
step5 comparison of variance
After the calculation, each image generates a characteristic value (variance), and the comparison image similarity is the closeness degree of the variance generated by the comparison image;
and a data operation attribute parameter calculation step:
and comparing the collected operation attribute parameters of the fault LED display screen with a preset standard range value of the LED display screen fault processing and analyzing platform, and determining the type of the data fault if the collected operation attribute parameter values are not in the preset standard range value.
According to an implementation manner of the aspect of the present invention, the operation method for determining the fault type corresponding to the faulty LED display screen in step 2.3 includes:
the LED display screen fault processing and analyzing platform carries out variance identification and comparison on the uploaded and collected display screen images, and if the variance calculated by the screen images is not in a preset normal screen image database, the image fault type is indicated; directly searching out a preset image processing method close to the variance of the image fault type; the stability can be judged according to the size of the data variance, and the proximity of the data variances can reflect the proximity of data fluctuation; not paying attention to the size of the variance, only paying attention to the size of the difference value of the two variances; the smaller the variance difference, the more similar the image;
the LED display screen fault processing and analyzing platform carries out numerical comparison on the uploaded and collected operation attribute parameters, if the operation attribute parameters are not in a preset normal attribute parameter database, the operation attribute parameters are indicated to be of a data fault type, a preset processing method which is similar to the numerical value of the data fault type is directly searched out, and the fault position of the LED display screen is directly determined according to the difference of data;
according to an implementation manner of the aspect of the present invention, the specific operation method for processing the image fault type in step4 includes:
determining the type of the image fault according to the LED display screen fault processing and analyzing platform, and directly searching a preset image processing method which is similar to the variance of the image fault type; determining the range degree of the fault LED display screen for processing the image by combining the percentage of the area formed by the abnormal pixel points and the area formed by the normal pixel points, which are acquired by the data acquisition module; corresponding data are all sent to a personnel terminal receiving device, so that maintenance personnel can know the LED display screen in the most detail; and if the LED display screen fault processing and analyzing platform does not have the image fault type corresponding to the LED display screen fault processing and analyzing platform, newly adding the image fault type on the platform.
According to an implementation manner of the aspect of the present invention, the specific operation method for the data failure type in step5 includes:
determining the data fault type according to the LED display screen fault processing analysis platform, and directly searching a preset image processing method similar to the data fault type; corresponding data are all sent to a personnel terminal receiving device, so that maintenance personnel can know the LED display screen in the most detail; and if the LED display screen fault processing and analyzing platform does not have the corresponding data fault type, newly adding the data fault type on the platform.
According to an implementation manner of the aspect of the present invention, the specific operation method of the LED display screen specific database in step 6 includes:
transmitting a data result generated by the LED display screen with the fault into a special database of the LED display screen, wherein the database is also used as a database with a first priority; the LED display screen with the double fault types is subjected to the relation finding through calculation, although no definite instruction relation exists on a physical device, the relation is strong under the integration of the LED display screen devices; marking a certain fault in the image fault types as A L L =1,2, ·, n; n is a positive integer and represents the maximum value of the values of L in the image fault type; marking a certain fault in the data fault types as B g G =1,2, ·, n; n is a positive integer and represents the maximum value of g dereferencing in the data fault type;
suppose that a certain fault flag is A in the image fault type L In the data failure type, a certain failure mark is B g Meanwhile, the repetition times of the image fault type and the data fault type are q, and q is a positive integer and represents the maximum value of the dereferencing of the repetition times q of the image fault type and the data fault type;
according to an algorithm formula:
Based on any one of the aspects, the invention has the beneficial effects that:
1. the method comprises the steps of acquiring a display screen image of a fault LED display screen and operation attribute parameters of the corresponding fault LED display screen, uploading the acquired display screen image and the operation attribute parameters to an LED display screen fault processing and analyzing platform, calculating and analyzing data, and obtaining a corresponding fault type according to a data analysis result; the fault occurrence position is accurately found by combining with the calculation of related data and is adjusted in time, so that the further damage rate of the LED display screen is reduced; for the LED display screen, the LED display screen can be easily maintained in a targeted manner under the condition that the fault type of the LED display screen is determined; the LED display screen is very easy to maintain, so that serious dangerous accidents are avoided; the method has the advantages that problems and positions of the LED display screen can be accurately mastered, a large amount of detection time can be saved, and the positions and solutions of the faults can be quickly located.
2. According to the method, a data result generated by the LED display screen with the fault is transmitted into the special database of the LED display screen, the database is also used as a database with a first priority, and the special database of the LED display screen is saved and updated when the fault problem occurs in the LED display screen with the fault; the relevance of the LED display screen with the fault type is found out, the repeated maintenance of the fault type is avoided, and the fault-related type can be detected in a targeted manner.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the method steps of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
With reference to fig. 1, a method for processing a fault of an LED display and a cloud platform are provided, in which a data acquisition module, a fault processing and analyzing platform of the LED display, an image fault processing end module, a data fault processing end module, a personnel terminal receiving device, and a unique database of the LED display are applied; the method comprises the following steps:
step1, when an LED display screen has an operation fault, acquiring a display screen image of the fault LED display screen and an operation attribute parameter of the corresponding fault LED display screen;
in a specific embodiment of the present invention, the specific operation method for acquiring the screen image and operating the attribute parameters in step1 includes:
the fault LED display screen acquires screen images including fault picture full-color images, namely pure black, pure white, pure red, pure green and pure blue; marking the acquired screen image of the fault LED display screen as Xa, wherein alpha =0,1,2,3,4 and 5; the operation of the fault LED display screen belongs to the parameters of substrate temperature, communication network data, circuit board data and the like; marking collected operation attribute parameter values of fault LED display screen
Wherein β =0,1,2, ·, n; and n is a positive integer and represents the maximum value of the values of the beta in the operation attribute parameters.
And 2, step: the method comprises the following steps of automatically uploading display screen images and operation attribute parameters of an LED display screen to an LED display screen fault processing and analyzing platform for calculation and analysis, and determining a fault type corresponding to the fault LED display screen according to a calculation data result, wherein the operation method for determining the fault type comprises the following steps:
step 2.1: automatically uploading display screen images and operation attribute parameters of the LED display screen to an LED display screen fault processing and analyzing platform;
step 2.2: the LED display screen fault processing and analyzing platform is used for calculating, processing and analyzing a display screen image and operation attribute parameters of the LED display screen;
in a specific embodiment of the present invention, the method for performing calculation processing and analysis operation on the display screen image and the operation attribute parameter of the LED display screen by the LED display screen fault processing and analyzing platform in step 2.2 includes:
according to the appearance characteristics of the fault screen image of the LED display screen, comparing the variance of the preset LED display screen pixel points through a picture similarity algorithm to determine the fault type;
assuming that the width of the screen image pixel points is i, and the length of the screen image pixel points is j;
image fault type calculation step:
step1 zooming picture
The picture to be processed is placed to a specified size, and the size of the zoomed picture is determined by the information content and the complexity of the picture; flexible scaling, maintaining a balance between efficiency and accuracy;
step2 gray scale processing
Processing the collected screen image into a gray scale image;
step3 calculation of the mean value
Giving a specific value to each pixel point by a Hash algorithm, respectively calculating the average value of each row of pixel points of the image in sequence, and recording the average value of each row of pixel points; each average corresponds to a feature of a row;
according to an algorithm formula:
step4 calculating variance
Calculating the variance of all the obtained average values, wherein the obtained variance is the characteristic value of the image; the variance can well reflect the fluctuation of the pixel characteristics of each row, and the main information of the picture is recorded;
according to an algorithm formula:
m represents the average value of the average values of the pixel points in each row;
S 2 representing the variance value of a pixel point of a picture;
step5 comparison of variance
After the calculation, each image generates a characteristic value (variance), and the comparison image similarity is the closeness degree of the variance generated by the comparison image;
calculating data operation attribute parameters:
and comparing the collected operation attribute parameters of the fault LED display screen with a standard range value preset by the LED display screen fault processing analysis platform, and if the collected operation attribute parameter values are not in the preset standard range value, determining the operation attribute parameters are of a data fault type.
Step 2.3: determining the fault type corresponding to the fault LED display screen according to the calculation result;
in a specific embodiment of the present invention, the operation method for determining the fault type corresponding to the faulty LED display screen in step 2.3 includes:
the LED display screen fault processing and analyzing platform carries out variance identification and comparison on the uploaded and collected display screen images, and if the variance calculated by the screen images is not in a preset normal screen image database, the image fault type is indicated; directly searching out a preset image processing method close to the variance of the image fault type; the stability can be judged according to the size of the data variance, and the proximity of the data variances can reflect the proximity of data fluctuation; not paying attention to the size of the variance, only paying attention to the size of the difference value of the two variances; the smaller the variance difference, the more similar the image;
the LED display screen fault processing and analyzing platform carries out numerical comparison on the uploaded and collected operation attribute parameters, if the operation attribute parameters are not in a preset normal attribute parameter database, the operation attribute parameters indicate a data fault type, a preset processing method similar to the data fault type numerical value is directly searched out, and the fault position of the LED display screen is directly determined according to the difference of data;
and step 3: identifying and judging the fault type corresponding to the fault LED display screen, if the fault type is an image fault type, extracting a corresponding processing method from an LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step 4; if the type of the data fault is the data fault type, extracting a corresponding processing method from the LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step 5; if the type of the double faults is the double fault type, extracting a corresponding processing method from the LED display screen fault processing analysis platform, further adjusting according to the processing method, and executing the step5 firstly and then executing the step 4;
and 4, step 4: according to a picture similarity algorithm for the image in the LED display screen fault processing and analyzing platform, directly retrieving a processing method corresponding to the fault LED display screen image; determining the range degree of the fault LED display screen for processing the image through the image fault processing end module by combining the acquired ratio of the abnormal area to the normal area of the image, and completely transmitting corresponding data to the personnel terminal receiving equipment;
in a specific embodiment of the present invention, the specific operation method for processing the image fault type in step4 includes:
determining the type of the image fault according to the LED display screen fault processing and analyzing platform, and directly searching a preset image processing method which is similar to the variance of the image fault type; determining the range degree of the fault LED display screen for processing the image by combining the percentage of the area formed by the abnormal pixel points and the area formed by the normal pixel points, which are acquired by the data acquisition module; corresponding data are all sent to a personnel terminal receiving device, so that maintenance personnel can know the LED display screen in the most detail; and if the LED display screen fault processing and analyzing platform does not have the image fault type corresponding to the LED display screen fault processing and analyzing platform, newly adding the image fault type on the platform.
And 5: calculating the collected operation attribute parameters according to the LED display screen fault processing and analyzing platform, and determining the specific fault position of the LED display screen; determining the range degree of the fault position processed by the fault LED display screen through the data fault processing end module, and transmitting all corresponding data to the personnel terminal receiving equipment;
in a specific embodiment of the present invention, the specific operation method for the data failure type in step5 includes:
determining a data fault type according to the LED display screen fault processing and analyzing platform, and directly searching a preset image processing method similar to the data fault type; corresponding data are all sent to a personnel terminal receiving device, so that maintenance personnel can know the LED display screen in the most detail; and if the LED display screen fault processing and analyzing platform does not have the corresponding data fault type, newly adding the data fault type on the platform.
Step 6: and transmitting a data result generated by the LED display screen with the fault into a special database of the LED display screen, wherein the database is also used as a database with a first priority, and the special database of the LED display screen is saved and updated when the fault problem of the LED display screen with the fault occurs.
In a specific embodiment of the present invention, the specific operation method of the LED display screen specific database in step 6 includes:
transmitting a data result generated by the LED display screen with the fault into a special database of the LED display screen, wherein the database is also used as a database with a first priority; the LED display screen with the double fault types is subjected to the relation finding through calculation, although no definite instruction relation exists on a physical device, the relation is strong under the integration of the LED display screen devices; marking a certain fault in the image fault type as A L L =1,2, · n; n is a positive integer and represents the maximum value of the value of L in the image fault type; marking a certain fault in the data fault types as B g G =1,2, · n; n is a positive integer and represents dataThe maximum value of g which can be taken as a value in the fault type;
suppose that a certain fault flag is A in the image fault type L In the data failure type, a failure is marked as B g Meanwhile, the repetition times of the image fault type and the data fault type are q, and q is a positive integer and represents the maximum value of the dereferencing of the repetition times q of the image fault type and the data fault type;
according to an algorithm formula:
The method comprises the steps of acquiring a display screen image of a fault LED display screen and operation attribute parameters of the corresponding fault LED display screen, uploading the acquired display screen image and the operation attribute parameters to an LED display screen fault processing and analyzing platform, calculating and analyzing data, and obtaining a corresponding fault type according to a data analysis result; the method comprises the steps that the position of a fault is accurately found and timely adjusted by combining with related data calculation, the data result generated by the LED display screen with the fault is transmitted into a special database of the LED display screen, the database is also used as a database with a first priority, and the special database of the LED display screen is saved and updated when the fault problem occurs in the fault LED display screen; finding out the correlation of the LED display screen with the fault type; the method has the advantages that problems and positions of faults of the LED display screen are accurately mastered, so that a large amount of detection time is saved, and the positions and solutions of the faults can be quickly positioned; repeated maintenance of the fault type is avoided and there can be targeted detection of fault-related types.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A fault processing method and cloud platform applied to an LED display screen are disclosed, wherein the method applies a data acquisition module, an LED display screen fault processing analysis platform, an image fault processing end module, a data fault processing end module, a personnel terminal receiving device and a special database of the LED display screen; characterized in that the method comprises the following steps:
step1, when an LED display screen has an operation fault, acquiring a display screen image of the fault LED display screen and an operation attribute parameter of the corresponding fault LED display screen;
step 2: the method comprises the following steps of automatically uploading display screen images and operation attribute parameters of an LED display screen to an LED display screen fault processing and analyzing platform for calculation and analysis, and determining a fault type corresponding to the fault LED display screen according to a calculation data result, wherein the operation method for determining the fault type comprises the following steps:
step 2.1: automatically uploading display screen images and operation attribute parameters of the LED display screen to an LED display screen fault processing and analyzing platform;
step 2.2: the LED display screen fault processing and analyzing platform is used for calculating, processing and analyzing a display screen image and operation attribute parameters of the LED display screen;
step 2.3: determining the fault type corresponding to the fault LED display screen according to the calculation result;
and 3, step 3: identifying and judging the fault type corresponding to the fault LED display screen, if the fault type is an image fault type, extracting a corresponding processing method from an LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step 4; if the type of the data fault is the data fault type, extracting a corresponding processing method from the LED display screen fault processing and analyzing platform, further adjusting according to the processing method, and executing the step 5; if the type of the double faults is the double fault type, extracting a corresponding processing method from the LED display screen fault processing analysis platform, further adjusting according to the processing method, and executing the step5 firstly and then executing the step 4;
and 4, step 4: according to a picture similarity algorithm for the image in the LED display screen fault processing and analyzing platform, directly retrieving a processing method corresponding to the fault LED display screen image; determining the range degree of the fault LED display screen for processing the image through the image fault processing end module by combining the acquired ratio of the abnormal area to the normal area of the image, and completely transmitting corresponding data to the personnel terminal receiving equipment;
and 5: calculating the collected operation attribute parameters according to the LED display screen fault processing and analyzing platform, and determining the specific fault position of the LED display screen; determining the range degree of the fault position processed by the fault LED display screen through the data fault processing terminal module, and completely transmitting corresponding data to the personnel terminal receiving equipment;
step 6: and transmitting a data result generated by the LED display screen with the fault into a special database of the LED display screen, wherein the database is also used as a database with a first priority, and the special database of the LED display screen is saved and updated when the fault problem of the LED display screen with the fault occurs.
2. The method for processing the fault of the LED display screen and the cloud platform according to claim 1, wherein the method comprises the following steps: the specific operation method for acquiring the screen image and operating the attribute parameters in the step1 comprises the following steps:
the fault LED display screen acquires screen images including fault picture full-color images, namely pure black, pure white, pure red, pure green and pure blue; marking the acquired screen image of the fault LED display screen as Xa, wherein alpha =0,1,2,3,4 and 5; the operation of the fault LED display screen belongs to the parameters of substrate temperature, communication network data, circuit board data and the like; marking collected operation attribute parameter values of fault LED display screen
Wherein β =0,1,2, ·, n; and n is a positive integer and represents the maximum value of the values of the beta in the operation attribute parameters.
3. The method for processing the LED display screen fault and the cloud platform according to claim 1, wherein the method comprises the following steps: the method for calculating, processing and analyzing the display screen image and the operation attribute parameters of the LED display screen by the LED display screen fault processing and analyzing platform in the step 2.2 comprises the following steps:
according to the appearance characteristics of the fault screen image of the LED display screen, comparing the variance of the preset LED display screen pixel points through a picture similarity algorithm to determine the fault type;
assuming that the width of the screen image pixel points is i, and the length of the screen image pixel points is j;
image fault type calculation step:
step1 zooming picture
The picture to be processed is placed to a specified size, and the size of the zoomed picture is determined by the information content and the complexity of the picture; flexible scaling, maintaining a balance between efficiency and accuracy;
step2 gray scale processing
Processing the collected screen image into a gray scale image;
step3 calculation of the mean value
Giving a specific value to each pixel point by a Hash algorithm, respectively calculating the average value of each row of pixel points of the image in sequence, and recording the average value of each row of pixel points; each average corresponds to a feature of a row;
according to an algorithm formula:
step4 calculating variance
Calculating the variance of all the obtained average values, wherein the obtained variance is the characteristic value of the image; the variance can well reflect the fluctuation of the pixel characteristics of each row, and the main information of the picture is recorded;
according to an algorithm formula:
m represents the average value of the average values of the pixel points in each row;
S 2 representing the variance value of a pixel point of a picture;
step5 comparison of variance
After the calculation, each image generates a characteristic value (variance), and the comparison image similarity is the closeness degree of the variance generated by the comparison image;
and a data operation attribute parameter calculation step:
and comparing the collected operation attribute parameters of the fault LED display screen with a preset standard range value of the LED display screen fault processing and analyzing platform, and determining the type of the data fault if the collected operation attribute parameter values are not in the preset standard range value.
4. The method for processing the fault of the LED display screen and the cloud platform according to claim 1, wherein the method comprises the following steps: the operation method for determining the fault type corresponding to the fault LED display screen in the step 2.3 comprises the following steps:
the LED display screen fault processing and analyzing platform carries out variance identification and comparison on the uploaded and collected display screen images, and if the variance calculated by the screen images is not in a preset normal screen image database, the image fault type is indicated; directly searching out a preset image processing method close to the variance of the image fault type; the stability can be judged according to the size of the data variance, and the proximity of the data variances can reflect the proximity of data fluctuation; not paying attention to the size of the variance, only paying attention to the size of the difference value of the two variances; the smaller the variance difference, the more similar the image;
and the LED display screen fault processing and analyzing platform carries out numerical comparison on the uploaded and collected operation attribute parameters, if the operation attribute parameters are not in a preset normal attribute parameter database, the operation attribute parameters indicate a data fault type, a preset processing method similar to the data fault type numerical value is directly searched, and the fault position of the LED display screen is directly determined according to the difference of data.
5. The method for processing the LED display screen fault and the cloud platform according to claim 1, wherein the method comprises the following steps: the specific operation method for processing the image fault type in the step4 comprises the following steps:
determining the type of the image fault according to the LED display screen fault processing and analyzing platform, and directly searching a preset image processing method which is similar to the variance of the image fault type; determining the range degree of the fault LED display screen for processing the image by combining the percentage of the area formed by the abnormal pixel points and the area formed by the normal pixel points, which are acquired by the data acquisition module; corresponding data are all sent to a personnel terminal receiving device, so that maintenance personnel can know the LED display screen in the most detail; if the LED display screen fault processing and analyzing platform does not have the image fault type corresponding to the LED display screen fault processing and analyzing platform, the image fault type is newly added on the platform.
6. The method for processing the fault of the LED display screen and the cloud platform according to claim 1, wherein the method comprises the following steps: the specific operation method of the data fault type in the step5 comprises the following steps:
determining a data fault type according to the LED display screen fault processing and analyzing platform, and directly searching a preset image processing method similar to the data fault type; all the corresponding data are sent to a personnel terminal receiving device, so that maintenance personnel can know about the maintenance of the LED display screen in the most detail; and if the LED display screen fault processing and analyzing platform does not have the corresponding data fault type, newly adding the data fault type on the platform.
7. The method for processing the LED display screen fault and the cloud platform according to claim 1, wherein the method comprises the following steps: the specific operation method of the LED display screen specific database in the step 6 comprises the following steps:
transmitting a data result generated by the LED display screen with the fault into a special database of the LED display screen, wherein the database is also used as a database with a first priority; the LED display screen with the double fault types is subjected to the relation finding through calculation, although no determined instruction relation exists on a physical device, the relation is strong under the integration of the LED display screen devices; marking a certain fault in the image fault type as A L L =1,2, ·, n; n is a positive integer and represents the maximum value of the value of L in the image fault type; marking a certain fault in the data fault types as B g G =1,2, ·, n; n is a positive integer and represents the maximum value of g dereferencing in the data fault type;
suppose that a certain fault flag is A in the image fault type L In the data failure type, a certain failure mark is B g Meanwhile, the repetition times of the image fault type and the data fault type are q, and q is a positive integer and represents the maximum value of the dereferencing of the repetition times q of the image fault type and the data fault type;
according to an algorithm formula:
8. A cloud system, characterized in that: calculating and processing screen images and operation attribute parameters of the corresponding fault LED display screen according to the LED display screen fault processing and analyzing platform, quickly determining fault types and processing fault conditions; the method for processing the LED display screen fault through the cloud software calculation and analysis is used for executing the method of any one of claims 1 to 7.
9. A cloud system, characterized in that: the method for processing the LED display screen fault by the cloud computing and analyzing service program is used for realizing the method of any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115791101A (en) * | 2023-02-03 | 2023-03-14 | 海的电子科技(苏州)有限公司 | Display screen blind detection method, point screen equipment and storage medium |
| CN116155627A (en) * | 2023-04-20 | 2023-05-23 | 深圳市黑金工业制造有限公司 | Internet-based display screen access data management system and method |
| CN117218983A (en) * | 2023-09-22 | 2023-12-12 | 信丰云创(深圳)信息有限公司 | Display screen inspection system and method |
| CN117238226A (en) * | 2023-11-13 | 2023-12-15 | 众显科技(深圳)有限公司 | LED display screen fault self-checking method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115791101A (en) * | 2023-02-03 | 2023-03-14 | 海的电子科技(苏州)有限公司 | Display screen blind detection method, point screen equipment and storage medium |
| CN115791101B (en) * | 2023-02-03 | 2023-05-09 | 海的电子科技(苏州)有限公司 | Display screen blind test detection method, point screen device and storage medium |
| CN116155627A (en) * | 2023-04-20 | 2023-05-23 | 深圳市黑金工业制造有限公司 | Internet-based display screen access data management system and method |
| CN116155627B (en) * | 2023-04-20 | 2023-11-03 | 深圳市黑金工业制造有限公司 | Internet-based display screen access data management system and method |
| CN117218983A (en) * | 2023-09-22 | 2023-12-12 | 信丰云创(深圳)信息有限公司 | Display screen inspection system and method |
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