CN117274720A - Computer hardware anomaly detection method and system - Google Patents

Computer hardware anomaly detection method and system Download PDF

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Publication number
CN117274720A
CN117274720A CN202311529472.1A CN202311529472A CN117274720A CN 117274720 A CN117274720 A CN 117274720A CN 202311529472 A CN202311529472 A CN 202311529472A CN 117274720 A CN117274720 A CN 117274720A
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display
image
picture
wireless control
identified
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CN117274720B (en
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丁雪峰
万山
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Shenzhen Colorful Co ltd
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Shenzhen Colorful Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
    • G01M11/02—Testing optical properties
    • G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
    • G01M11/0278—Detecting defects of the object to be tested, e.g. scratches or dust
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30121—CRT, LCD or plasma display

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  • General Physics & Mathematics (AREA)
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Abstract

The invention is applicable to the technical field of equipment detection, and particularly relates to a method and a system for detecting abnormality of computer hardware, wherein the method comprises the following steps: establishing data connection with the wireless control equipment; identifying the model of the display, generating a product test image, and controlling the display to display the product test image through the wireless control equipment; image acquisition is carried out on a display on a conveyor belt according to a preset time step, a real-time acquisition image is obtained, picture area identification is carried out on the real-time acquisition image, and a picture sequence to be identified is constructed; and carrying out pixel information statistics on the picture to be identified, identifying the abnormal pixel position, generating a position abnormality mark image, and storing the position abnormality mark image. The method and the device determine the abnormal region of the display in an image recognition mode, mark the abnormal region through the preset pattern, realize automatic recognition of the display abnormality, enable the display abnormality to be integrated into a production line, and improve detection efficiency.

Description

Computer hardware anomaly detection method and system
Technical Field
The invention belongs to the technical field of equipment detection, and particularly relates to a method and a system for detecting computer hardware abnormality.
Background
The display is one of the important devices of the computer, and is required to be detected during production or recovery to ensure the quality of products, and common display anomalies comprise dead spots, strobes, black screens and the like.
In the current abnormality detection process, the display is usually detected manually to determine whether the display is abnormal in the display process, the process has great subjectivity, and the abnormal detection such as dead pixels needs to be carefully observed and can be seen only by continuously switching display pictures, so that the problem of low detection efficiency exists.
Disclosure of Invention
The invention aims to provide a computer hardware abnormality detection method, which aims to solve the problem of low efficiency caused by manually detecting abnormality.
The invention is realized in such a way that a computer hardware abnormality detection method comprises:
the method comprises the steps that data connection is established with wireless control equipment, a display to be detected is transported through a conveyor belt, the display is connected with the wireless control equipment arranged on the conveyor belt through a cable, equipment marks are arranged on the conveyor belt, and each equipment mark corresponds to a group of wireless control equipment;
Identifying the model of the display, generating a product test image, and controlling the display to display the product test image through the wireless control equipment;
image acquisition is carried out on a display on a conveyor belt according to a preset time step length to obtain a real-time acquired image, picture area identification is carried out on the real-time acquired image, a picture sequence to be identified is constructed, and the picture sequence to be identified comprises a plurality of groups of pictures to be identified;
and carrying out pixel information statistics on the picture to be identified, identifying the abnormal pixel position, generating a position abnormality mark image, and storing the position abnormality mark image.
Preferably, the step of identifying the model of the display, generating a product test image, and controlling the display to display the product test image by the wireless control device specifically includes:
extracting display hardware information through the wireless control equipment, and identifying the model and the number of the display based on the display hardware information;
determining a display resolution and a display fault type based on the display hardware information;
and generating a plurality of groups of product test images based on the fault types of the display and the resolution of the display, and controlling the display to display and switch the product test images according to a preset time interval by using the wireless control equipment.
Preferably, the step of performing image acquisition on a display on a driving belt according to a preset time step to obtain a real-time acquired image, performing picture area identification on the real-time acquired image, and constructing a picture sequence to be identified specifically includes:
image acquisition is carried out according to a preset time step, the acquired real-time acquisition images are stored according to a time sequence, and the time interval for image acquisition is smaller than the time interval for image switching of the product test images;
dividing a real-time acquired image into a plurality of image areas, identifying equipment marks, and determining the corresponding relation between the equipment marks and the image areas and between the equipment marks and a display;
and storing the picture areas corresponding to the same display together according to the acquisition sequence, and constructing a picture sequence to be identified for each display.
Preferably, the step of performing statistics on pixel information on a picture to be identified, identifying a pixel position at which an abnormality occurs, generating a position abnormality marker image, and storing the position abnormality marker image specifically includes:
color information identification is carried out on each pixel in the picture to be identified, each pixel is classified according to the color information, and the number of pixels corresponding to each color information is determined;
Determining color information corresponding to abnormal pixels according to the number of pixels corresponding to the color information, and determining coordinates of the abnormal pixels;
and determining a background color based on the color information of the abnormal pixels, generating a position abnormal mark image based on the background color, marking the abnormal pixels through a preset pattern, and storing the position abnormal mark image.
Preferably, the transmission belt is arranged on the base, a plurality of objective tables are arranged on the transmission belt, a plurality of clamps are fixedly arranged on the objective tables, wireless control equipment is fixedly arranged on the objective tables, at least two groups of cables are arranged on the wireless control equipment, one group of cables are used for supplying power to the display, one group of cables are used for providing picture signals for the display, a support is arranged on one side of the base, a control center and a camera are fixedly arranged on the support, and the control center is connected with all the wireless control equipment through wireless communication.
Another object of the present invention is to provide a computer hardware abnormality detection system, the system comprising:
the data connection module is used for establishing data connection with the wireless control equipment, transporting the display to be detected through a conveyor belt, connecting the display with the wireless control equipment arranged on the conveyor belt through a cable, and arranging equipment marks on the conveyor belt, wherein each equipment mark corresponds to a group of wireless control equipment;
The picture control module is used for identifying the model of the display, generating a product test image, and controlling the display to display the product test image through the wireless control equipment;
the image sequence construction module is used for acquiring images of a display on the conveyor belt according to a preset time step, acquiring real-time acquired images, carrying out image area identification on the real-time acquired images, and constructing a to-be-identified image sequence, wherein the to-be-identified image sequence comprises a plurality of groups of to-be-identified images;
the anomaly identification module is used for carrying out pixel information statistics on the picture to be identified, identifying the position of the abnormal pixel, generating a position anomaly marking image and storing the position anomaly marking image.
Preferably, the screen control module includes:
the device identification unit is used for extracting the hardware information of the display through the wireless control device and identifying the model and the number of the display based on the hardware information of the display;
the information query unit is used for determining the resolution of the display and the fault type of the display based on the display hardware information;
and the equipment control unit is used for generating a plurality of groups of product test images based on the fault type of the display and the resolution of the display, and controlling the display to display and switch the product test images according to a preset time interval through the wireless control equipment.
Preferably, the picture sequence construction module includes:
the image acquisition unit is used for acquiring images according to a preset time step, storing acquired real-time acquired images according to a time sequence, wherein the time interval for acquiring the images is smaller than the time interval for switching the images of the product test images;
the image dividing unit is used for dividing the real-time acquired image into a plurality of image areas, identifying equipment marks and determining the corresponding relation between the equipment marks and the image areas and the display;
the picture classifying unit is used for storing picture areas corresponding to the same display together according to the acquisition sequence, and constructing a picture sequence to be identified for each display.
Preferably, the abnormality recognition module includes:
the color information statistical unit is used for carrying out color information identification on each pixel in the picture to be identified, classifying each pixel according to the color information and determining the number of pixels corresponding to each color information;
the abnormal pixel positioning unit is used for determining color information corresponding to the abnormal pixels according to the number of the pixels corresponding to the color information and determining coordinates of the abnormal pixels;
And the mark image generating unit is used for determining a background color based on the color information of the abnormal pixels, generating a position abnormal mark image based on the background color, marking the abnormal pixels through a preset pattern and storing the position abnormal mark image.
According to the computer hardware abnormality detection method provided by the invention, the plurality of displays can be driven to move by arranging the transmission belt, in the moving process, the displays are controlled to carry out picture switching, the abnormal areas of the displays are determined in an image recognition mode, the abnormal areas of the displays are marked by the preset patterns, the automatic recognition of the display abnormality is realized, the display abnormality can be integrated into a production line, and the detection efficiency is improved.
Drawings
FIG. 1 is a flowchart of a method for detecting hardware anomalies in a computer according to an embodiment of the present invention;
FIG. 2 is a flowchart of the steps for identifying a model of a display, generating a product test image, and controlling the display to display the product test image by a wireless control device according to an embodiment of the present invention;
FIG. 3 is a flowchart of the steps for acquiring images of a display on a conveyor belt according to a preset time step, acquiring real-time acquired images, identifying picture areas of the real-time acquired images, and constructing a picture sequence to be identified, according to an embodiment of the present invention;
FIG. 4 is a flowchart of a step of performing pixel information statistics on a frame to be identified, identifying abnormal pixel positions, generating a position abnormality marker image, and storing the position abnormality marker image according to an embodiment of the present invention;
FIG. 5 is a block diagram of a hardware anomaly detection system according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a frame control module according to an embodiment of the present invention;
fig. 7 is a block diagram of a picture sequence building module according to an embodiment of the present invention;
FIG. 8 is a block diagram of an anomaly identification module according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a driving belt according to an embodiment of the present invention;
fig. 10 is a partial enlarged view at a in fig. 9.
In the accompanying drawings: 1. a base; 2. a transmission belt; 3. an objective table; 4. a clamp; 5. a wireless control device; 6. a bracket; 7 cameras.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 9 and 10, in one embodiment of the present invention, the driving belt 2 is mounted on the base 1, a plurality of object stages 3 are provided on the driving belt 2, a plurality of clamps 4 are fixedly provided on the object stages 3, a wireless control device 5 is also fixedly provided on the object stages 3, at least two sets of cables are provided on the wireless control device 5, one set of cables is used for supplying power to the display, one set of cables is used for providing picture signals to the display, a bracket 6 is mounted on one side of the base 1, a control center and a camera 7 are fixedly mounted on the bracket 6, and the control center is connected with all the wireless control devices 5 through wireless communication.
In this embodiment, when in use, the display base is fixed by the fixture 4, the cable is connected with the display, then the wireless control device 5 can control the display to switch the picture, the driving belt 2 can drive the display to move by the object stage 3, in the process, the camera 7 can collect images of the display, the control center analyzes the collected images, in the process of analysis, new images are continuously generated, the generated new images are sent to the corresponding wireless control device 5 in a wireless communication mode, the wireless control device 5 controls the display to display, then the camera 7 is used for collecting images, and in the process of circulation, diagnosis of the display is completed.
As shown in fig. 1, a flowchart of a method for detecting a hardware abnormality of a computer according to an embodiment of the present invention is provided, where the method includes:
s100, establishing data connection with the wireless control equipment 5, and transporting a display to be detected through a conveyor belt, wherein the display is connected with the wireless control equipment 5 arranged on the conveyor belt 2 through a cable, equipment marks are arranged on the conveyor belt 2, and each equipment mark corresponds to one group of wireless control equipment 5.
In this step, when the wireless control device 5 establishes a data connection with the display through the cable, the wireless control device 5 can read the hardware information of the display, so as to determine the model and the type of the display, for example, the wireless control device 5 with the corresponding number of "1" can determine the model or the code of the current display, for different displays, for example, the OLED display is easy to burn, the LCD has no problem of burn, therefore, for different displays, different detection schemes are provided, a plurality of device marks are provided on the driving belt 2, the device marks can be specific patterns, such as the number of the device marks is the number of "1", for example, the wireless control device 5 with the corresponding number of "1" can identify the model or the code of the current display, for example, the OLED display is easy to burn, the LCD has no problem of burn, therefore, for different displays, different detection schemes are provided, a plurality of device marks are provided on the driving belt 2, the device marks can be specific patterns, such as the device marks are the number of the wireless control device 5 is the number of the wireless control device 5, the wireless control device 5 is the number of the wireless control device with the number of "1", the wireless control device 5 is the model or the code of the current display is different, the current display is the model or the current display is different, the current display is the model, the current display is different, the number of the wireless control device is the wireless control device with the number of the 1, the wireless control device is the wireless control device, and the wireless control device is the wireless device.
S200, the model of the display is identified, a product test image is generated, and the display is controlled to display the product test image through the wireless control device 5.
In this step, the model of the display is identified, the test schemes of all types of displays are stored in the control center, after the display is fixed, a data connection is established between the wireless control device 5 and the wireless control device through a cable, at this time, the wireless control device 5 identifies the hardware data of the display, determines the type of the display, and sends the model to the control center, at this time, the control center generates a product test image based on the corresponding test step and sends the product test image to the wireless control device 5, the wireless control device 5 controls the display to display, and when the wireless control device 5 receives a new product test image, the display switches the picture.
S300, performing image acquisition on a display on the driving belt 2 according to a preset time step length to obtain a real-time acquired image, performing picture area identification on the real-time acquired image, and constructing a picture sequence to be identified, wherein the picture sequence to be identified comprises a plurality of groups of pictures to be identified.
In this step, the image is acquired according to a preset time step, the acquired image is a real-time acquired image, and when the camera 7 acquires the image, the acquired image not only includes a picture displayed by the display, but also includes content other than the display, so after each acquisition of the real-time acquired image, the position of the display in the picture needs to be identified by means of image identification, so as to extract the display picture contained in the picture, so as to obtain a picture area, the transmission speed of the conveyor belt 2 is fixed, and the display is driven to move, so that the same display can appear in a plurality of real-time acquired images, each identification can extract and obtain a group of picture areas of the display, and the picture areas are recorded according to a time sequence, so that a picture sequence to be identified is obtained.
S400, carrying out pixel information statistics on a picture to be identified, identifying the position of the abnormal pixel, generating a position abnormal mark image, and storing the position abnormal mark image.
In this step, the statistics of pixel information is performed on the frame to be identified, when the anomaly is identified, different frame display is performed according to different anomaly types, if the anomaly of the dead pixel is determined, three primary colors are respectively displayed through the display, so that the color information of each pixel under the three primary colors is determined, the number of pixels corresponding to the different color information is determined, the color information corresponding to the dead pixel is determined according to the number of pixels, different frames are required to be displayed on different anomaly detection processes, the frames are all generated by the control center and are sent to the wireless control device 5, the wireless control device 5 is used for controlling the display to perform frame display, after the anomaly is determined, a group of images are generated based on the data of the display, the region with the anomaly is marked in the images, namely, a position anomaly marked image is obtained, the position anomaly marked image is stored, the position anomaly marked image is bound with the corresponding product number, and a worker can review the display with the anomaly directly according to the position anomaly marked image.
As shown in fig. 2, as a preferred embodiment of the present invention, the steps of identifying the model of the display, generating a product test image, and controlling the display to display the product test image by the wireless control device 5 specifically include:
s201, the wireless control device 5 extracts the display hardware information, and identifies the model number and the number of the display based on the display hardware information.
In this step, the wireless control device 5 extracts the hardware information of the display, records the hardware information and the code of each display in the control center, such as the chip number, and then directly extracts the hardware information of the display after the wireless control device 5 connects the display, so as to determine the display number according to the hardware information, and in this process, the wireless control device 5 continuously performs data interaction with the control center according to the extracted hardware information to complete the identity confirmation of the display.
And S202, determining the resolution of the display and the fault type of the display based on the display hardware information.
In this step, the resolution of the display and the type of failure of the display are determined based on the display hardware information, and the common type of failure is different for different types of displays, so that different verification images need to be used, and different displays have different resolutions, and then matching is also needed according to the resolution when generating the verification images.
S203, generating a plurality of groups of product test images based on the display fault type and the display resolution, and controlling the display to display and switch the product test images according to a preset time interval through the wireless control device 5.
In this step, multiple groups of product test images are generated based on the display fault type and the display resolution, the image colors required to be used are determined based on the display fault type, then the product test images with the corresponding resolution are generated according to the corresponding display resolution, specifically, the switching time of the product test images is determined by a control center, for example, when the display detects, four groups of product test images need to be switched, and the control center sends a control instruction to the wireless control device 5 after completing at least one acquisition of the product test images so as to control the wireless control device to switch the product test images.
As shown in fig. 3, as a preferred embodiment of the present invention, the steps of performing image acquisition on the display on the driving belt 2 according to a preset time step to obtain a real-time acquired image, performing picture area identification on the real-time acquired image, and constructing a picture sequence to be identified specifically include:
s301, image acquisition is carried out according to a preset time step, the acquired real-time acquisition images are stored according to a time sequence, and the time interval for image acquisition is smaller than the time interval for image switching of the product test images.
In this step, image acquisition is performed according to a preset time step, so as to ensure that images can be acquired in time after the product test image is switched, so that the time interval for image acquisition is smaller than the time interval for image switching of the product test image, and then at least one group of real-time acquired images can be acquired within the time for displaying the product test image.
S302, performing picture segmentation on the real-time acquired image, dividing the real-time acquired image into a plurality of picture areas, identifying equipment marks, and determining the corresponding relation between the equipment marks and the picture areas and the display.
In this step, the real-time collected image is subjected to image segmentation, specifically, the real-time collected image is subjected to binarization processing and hough transformation, through the processing procedure, the real-time collected image can be converted into a line drawing, so that the position of the display image can be rapidly identified, after positioning is completed, the original real-time collected image can be cut according to the position of the display to obtain an image area, and the set device mark on the driving belt 2 is synchronously identified, so that the corresponding relationship between the display and the wireless control device 5 can be determined according to the device mark, and the corresponding relationship between the real-time collected image and the display can be determined.
S303, the picture areas corresponding to the same display are stored together according to the acquisition sequence, and a picture sequence to be identified is constructed for each display.
In the step, the picture areas corresponding to the same display are stored together according to the acquisition sequence, and when the picture areas are stored, the picture areas are stored according to the time sequence, so that a series of pictures to be identified, namely a picture sequence to be identified, are obtained.
As shown in fig. 4, as a preferred embodiment of the present invention, the steps of performing pixel information statistics on a picture to be identified, identifying a pixel position where an abnormality occurs, generating a position abnormality flag image, and storing the position abnormality flag image specifically include:
s401, carrying out color information identification on each pixel in the picture to be identified, classifying each pixel according to the color information, and determining the number of pixels corresponding to each color information.
In this step, color information identification is performed on each pixel in the frame to be identified, where the color information may be RGB color information, and then, when counting, the RGB color information corresponding to each pixel is counted, and the pixels belonging to the same color information range are classified into one type, if the RGB color of a certain pixel is R, G, B, then, the pixels in r±0.05R, g±0.05G, b±0.05B can be classified into the pixels corresponding to the same color information, and then, the number of pixels in the color information corresponding range is counted; in order to reduce the processing amount of data, binarization processing can be performed on the picture to be identified, so that color information is represented by gray values, and the gray value of a certain pixel is P, so that pixels in the gray value range of P+/-0.05P are classified into one type, and the number of pixels corresponding to different color information is determined.
S402, determining color information corresponding to abnormal pixels according to the number of pixels corresponding to the color information, and determining coordinates of the abnormal pixels.
In this step, color information corresponding to abnormal pixels is determined according to the number of pixels corresponding to the color information, and the types of the color information are counted, for example, five kinds of color information are present in total, and are distributed according to a distribution interval from left to right of the display, so that when a uniform picture is displayed on the display, the picture is considered to have picture change, global abnormality is considered to exist, the positions of the abnormal pixels do not need to be marked, when the color information contains two kinds, the number of pixels corresponding to one kind of color information is 99%, the pixels corresponding to the other kind of color information are abnormal pixels, namely pixels corresponding to bad points, and coordinates of the pixels are recorded.
S403, determining a background color based on the color information of the abnormal pixels, generating a position abnormal mark image based on the background color, marking the abnormal pixels through a preset pattern, and storing the position abnormal mark image.
In the step, a background color is determined based on color information of abnormal pixels, if a certain color is displayed, the color is taken as the background color at the most of the obtained dead pixels, specifically, if a product test image comprises three groups of pure color images such as red, green and blue, wherein the red image corresponds to three dead pixels, the green image corresponds to four dead pixels, the blue image corresponds to five dead pixels, if the dead pixels do not coincide, different dead pixels adopt corresponding colors, the dead pixels are obtained by recognition when the red image is identified, when a position abnormal mark image is determined, the red background color is displayed at a corresponding position, and similarly, the dead pixels detected by the different color images are displayed at the corresponding position, and the color of a blank area can be randomly filled by marking and reinforcing by a preset image; if the same dead pixel is identified under different colors, if the dead pixel can be identified under red and green backgrounds, the position abnormal mark image can be determined by adopting red or green background colors, and stored, and when rechecking is needed, the position of the dead pixel can be determined through the position abnormal mark image.
As shown in fig. 5, a system for detecting abnormality of computer hardware according to an embodiment of the present invention includes:
the data connection module 100 is configured to establish a data connection with the wireless control device 5, transport a display to be detected through a conveyor belt, connect the display with the wireless control device 5 installed on the conveyor belt 2 through a cable, and set device marks on the conveyor belt 2, where each device mark corresponds to a group of wireless control devices 5.
In the system, the data connection module 100 establishes data connection with the wireless control device 5, when the wireless control device 5 establishes data connection with the display through a cable, the wireless control device 5 can read the hardware information of the display, so that the model and the type of the display can be determined, if the display is a CRT display, an LCD display, an OLED display or a micro LED display, the fault type of the display is different for different displays, if the display is an OLED display, the phenomenon of screen burning easily occurs, the LCD is free of the problem of screen burning, therefore, for different displays, different detection schemes are arranged, a plurality of device marks are arranged on the driving belt 2, the device marks can be specific patterns, such as numbers, the corresponding relation between the device marks and the wireless control device 5 is determined, if the device marks are digital '1', the wireless control device 5 with the corresponding number of '1', the wireless control device 5 can identify the current display or the code, therefore, based on the fact that the communication between the wireless control device 5 and the control center is easy to occur, the current display is switched to the corresponding relation between the wireless control device and the control center, when the display is switched to the corresponding relation between the wireless control center, the display is determined, and the display is switched to be determined, and the corresponding relation between the display is recorded when the wireless control center is switched to the display is detected.
The picture control module 200 is configured to identify a model of the display, generate a product test image, and control the display to display the product test image through the wireless control device 5.
In the system, the picture control module 200 identifies the model of the display, the test schemes of all types of displays are stored in the control center, after the display is fixed, data connection is established between the wireless control device 5 and the wireless control device through a cable, at the moment, the wireless control device 5 identifies the hardware data of the display, determines the type of the display, sends the model to the control center, at the moment, the control center generates a product test image based on a corresponding test step and sends the product test image to the wireless control device 5, the wireless control device 5 controls the display to display, and when the wireless control device 5 receives a new product test image, the display switches pictures.
The frame sequence construction module 300 is configured to perform image acquisition on a display on the driving belt 2 according to a preset time step, obtain a real-time acquired image, perform frame region identification on the real-time acquired image, and construct a frame sequence to be identified, where the frame sequence to be identified includes multiple groups of frames to be identified.
In the system, the image sequence building module 300 performs image acquisition on the display on the driving belt 2 according to a preset time step, the acquired image is a real-time acquired image, the acquired image of the camera 7 not only comprises the image displayed by the display but also comprises the content beyond the display, therefore, after each acquisition of the real-time acquired image, the position of the display in the image is required to be identified in an image identification mode, so that the display image contained in the image is extracted to obtain an image area, the transmission speed of the driving belt 2 is fixed, the display is driven to move, therefore, the same display can appear in a plurality of real-time acquired images, each identification can extract and obtain a group of image areas of the display, the image areas are recorded according to a time sequence to obtain the image sequence to be identified, and the image area is the image to be identified.
The anomaly identification module 400 is configured to perform pixel information statistics on a frame to be identified, identify a pixel position where an anomaly occurs, generate a position anomaly marker image, and store the position anomaly marker image.
In the system, an anomaly identification module 400 performs pixel information statistics on a picture to be identified, performs different picture display according to different anomaly types when anomaly identification is performed, if anomaly of a dead pixel is determined, three primary colors are respectively displayed through a display, color information of each pixel under the three primary colors is determined, the number of pixels corresponding to the different color information is determined, color information corresponding to the dead pixel is determined according to the number of pixels, different pictures are required to be displayed on different anomaly detection processes, the pictures are all generated by a control center and are sent to a wireless control device 5, the wireless control device 5 is used for controlling the display to perform picture display, after anomaly determination is performed, a group of images are generated based on data of the display, an area with anomaly is marked in the images, namely a position anomaly marked image is obtained, the position anomaly marked image is stored, the position anomaly marked image and a corresponding product number is bound together during storage, and a worker can directly check the display with the anomaly according to the position anomaly marked image.
As shown in fig. 6, as a preferred embodiment of the present invention, the screen control module 200 includes:
the device identification unit 201 is configured to extract display hardware information by the wireless control device 5, and identify a model number and a number of the display based on the display hardware information.
In this module, the device identification unit 201 extracts the hardware information of the display through the wireless control device 5, records the hardware information and the code of each display in the control center, such as the chip number, and directly extracts the hardware information of the display after the wireless control device 5 connects the display, so as to determine the number of the display according to the hardware information, and in this process, the wireless control device 5 continuously performs data interaction with the control center according to the extracted hardware information to complete the identity confirmation of the display.
And an information query unit 202 for determining the resolution of the display and the type of display failure based on the display hardware information.
In this module, the information query unit 202 determines the resolution of the display and the fault type of the display based on the hardware information of the display, and the common fault type is different for different types of displays, so that different verification images need to be adopted, and the resolutions of different displays are different, so that matching is also required according to the resolutions of different displays when the verification images are generated.
And the device control unit 203 is configured to generate a plurality of groups of product test images based on the display fault type and the display resolution, and control the display to display and switch the product test images according to a preset time interval through the wireless control device 5.
In this module, the device control unit 203 generates multiple groups of product test images based on the display fault type and the display resolution, determines the image colors to be used based on the display fault type, and then generates the product test images with the corresponding resolution according to the corresponding display resolution, specifically, the switching time of the product test images is determined by the control center, for example, when the display detects, the control center needs to switch four groups of product test images, and after completing at least one acquisition of the product test images, the control center sends a control instruction to the wireless control device 5 to control the wireless control device to switch the product test images.
As shown in fig. 7, as a preferred embodiment of the present invention, the picture sequence construction module 300 includes:
the image acquisition unit 301 is configured to perform image acquisition according to a preset time step, store acquired real-time acquired images according to a time sequence, and perform image acquisition at a time interval smaller than a time interval of performing image switching on the product test image.
In this module, the image acquisition unit 301 performs image acquisition according to a preset time step, so as to ensure that images can be acquired in time after the product test image is switched, so that the time interval for performing image acquisition is smaller than the time interval for performing picture switching on the product test image, and at least one group of real-time acquired images can be acquired within the time for displaying the product test image.
The image dividing unit 302 is configured to divide the real-time acquired image into a plurality of image areas, identify the device mark, and determine the correspondence between the device mark and the image areas and the display.
In this module, the image segmentation unit 302 performs image segmentation on the real-time collected image, specifically, performs binarization processing on the real-time collected image and performs hough transform, through the above processing procedure, the real-time collected image can be converted into a line drawing, so that the position of the display image can be quickly identified, after positioning is completed, the original real-time collected image can be cut according to the position of the display, so as to obtain a picture area, and the set device mark on the driving belt 2 is synchronously identified, so that the corresponding relationship between the display and the wireless control device 5 can be determined according to the device mark, and the corresponding relationship between the real-time collected image and the display can be determined.
And the picture classifying unit 303 is configured to store picture areas corresponding to the same display together according to the acquisition order, and construct a picture sequence to be identified for each display.
In this module, the picture classifying unit 303 stores the picture areas corresponding to the same display together according to the acquisition sequence, and stores the picture areas according to the time sequence when storing the picture areas, so as to obtain a series of pictures to be identified, namely, a sequence of pictures to be identified.
As shown in fig. 8, as a preferred embodiment of the present invention, the abnormality recognition module 400 includes:
the color information statistics unit 401 is configured to identify color information of each pixel in the image to be identified, classify each pixel according to the color information, and determine the number of pixels corresponding to each color information.
In this module, the color information statistics unit 401 identifies color information of each pixel in the frame to be identified, where the color information may be RGB color information, and when counting, the RGB color information corresponding to each pixel is counted, and the pixels belonging to the same color information range are classified into one type, if the RGB color of a certain pixel is R, G, B, then the pixels in r±0.05R, g±0.05G, b±0.05B may be classified into pixels corresponding to the same color information, and then the number of pixels in the range corresponding to the color information is counted; in order to reduce the processing amount of data, binarization processing can be performed on the picture to be identified, so that color information is represented by gray values, and the gray value of a certain pixel is P, so that pixels in the gray value range of P+/-0.05P are classified into one type, and the number of pixels corresponding to different color information is determined.
An abnormal pixel positioning unit 402, configured to determine color information corresponding to the abnormal pixel according to the number of pixels corresponding to the color information, and determine coordinates of the abnormal pixel.
In this module, the abnormal pixel locating unit 402 determines color information corresponding to abnormal pixels according to the number of pixels corresponding to color information, counts the types of the color information, if five kinds of color information exist in total, and are distributed according to a left-to-right distribution interval of the display, then when the display displays a uniform picture, the image is considered to have picture change, then the image is considered to have global abnormality, the positions of the abnormal pixels do not need to be marked, when the color information contains two kinds, the number of pixels corresponding to one kind of color information is 99%, then the pixels corresponding to the other kind of color information are pixels with abnormality, namely pixels corresponding to bad pixels, and the coordinates of the pixels are recorded.
A marker image generating unit 403 for determining a background color based on the color information of the abnormal pixels, generating a positional abnormality marker image based on the background color, and marking the abnormal pixels by a preset pattern, and storing the positional abnormality marker image.
In this module, the marker image generating unit 403 determines a background color based on color information of an abnormal pixel, if a number of identified dead pixels is largest when a certain color is displayed, the color is taken as the background color, specifically, if a product test image includes three groups of pure color images such as red, green and blue, wherein the red image corresponds to three dead pixels, the green image corresponds to four dead pixels, the blue image corresponds to five dead pixels, if the dead pixels do not coincide, different dead pixels adopt corresponding colors, when the red image is identified to obtain the dead pixels, when the position abnormal marker image is determined, the red background color is displayed at a corresponding position, and similarly, when the dead pixels detected by the different color images are displayed at a corresponding position, and the color of a blank area can be filled at will by marking and enhancing by a preset image; if the same dead pixel is identified under different colors, if the dead pixel can be identified under red and green backgrounds, the position abnormal mark image can be determined by adopting red or green background colors, and stored, and when rechecking is needed, the position of the dead pixel can be determined through the position abnormal mark image.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (10)

1. A method for detecting a hardware anomaly of a computer, the method comprising:
the method comprises the steps that data connection is established with wireless control equipment (5), a display to be detected is transported through a conveyor belt, the display is connected with the wireless control equipment (5) arranged on the conveyor belt (2) through a cable, equipment marks are arranged on the conveyor belt (2), and each equipment mark corresponds to one group of wireless control equipment (5);
identifying the model of the display, generating a product test image, and controlling the display to display the product test image through the wireless control equipment (5);
image acquisition is carried out on a display on a driving belt (2) according to a preset time step length to obtain a real-time acquisition image, picture area identification is carried out on the real-time acquisition image, a picture sequence to be identified is constructed, and the picture sequence to be identified comprises a plurality of groups of pictures to be identified;
and carrying out pixel information statistics on the picture to be identified, identifying the abnormal pixel position, generating a position abnormality mark image, and storing the position abnormality mark image.
2. The method for detecting abnormal computer hardware according to claim 1, wherein the step of identifying the model of the display, generating a product test image, and controlling the display to display the product test image by the wireless control device (5) specifically comprises:
extracting display hardware information through the wireless control device (5), and identifying the model and the number of the display based on the display hardware information;
determining a display resolution and a display fault type based on the display hardware information;
and generating a plurality of groups of product test images based on the fault type of the display and the resolution of the display, and controlling the display to display and switch the product test images according to a preset time interval by using a wireless control device (5).
3. The method for detecting abnormal computer hardware according to claim 1, wherein the step of acquiring images of the display on the driving belt (2) according to a preset time step to obtain real-time acquired images, and performing picture area recognition on the real-time acquired images to construct a picture sequence to be recognized specifically comprises the steps of:
image acquisition is carried out according to a preset time step, the acquired real-time acquisition images are stored according to a time sequence, and the time interval for image acquisition is smaller than the time interval for image switching of the product test images;
Dividing a real-time acquired image into a plurality of image areas, identifying equipment marks, and determining the corresponding relation between the equipment marks and the image areas and between the equipment marks and a display;
and storing the picture areas corresponding to the same display together according to the acquisition sequence, and constructing a picture sequence to be identified for each display.
4. The method for detecting abnormal computer hardware according to claim 1, wherein the step of performing statistics of pixel information on a picture to be identified, identifying a pixel position where an abnormality occurs, generating a position abnormality flag image, and storing the position abnormality flag image specifically comprises:
color information identification is carried out on each pixel in the picture to be identified, each pixel is classified according to the color information, and the number of pixels corresponding to each color information is determined;
determining color information corresponding to abnormal pixels according to the number of pixels corresponding to the color information, and determining coordinates of the abnormal pixels;
and determining a background color based on the color information of the abnormal pixels, generating a position abnormal mark image based on the background color, marking the abnormal pixels through a preset pattern, and storing the position abnormal mark image.
5. The method for detecting the abnormality of the computer hardware according to claim 1, characterized in that the transmission belt (2) is installed on the base (1), a plurality of object stages (3) are arranged on the transmission belt (2), a plurality of clamps (4) are fixedly arranged on the object stages (3), a wireless control device (5) is fixedly arranged on the object stages (3), at least two groups of cables are arranged on the wireless control device (5), one group of cables is used for supplying power to the display, one group of cables is used for providing picture signals to the display, a bracket (6) is installed on one side of the base (1), a control center and a camera (7) are fixedly installed on the bracket (6), and the control center is connected with all the wireless control devices (5) through wireless communication.
6. A computer hardware anomaly detection system, the system comprising:
the data connection module is used for establishing data connection with the wireless control equipment (5), transporting a display to be detected through a conveyor belt, wherein the display is connected with the wireless control equipment (5) arranged on the conveyor belt (2) through a cable, equipment marks are arranged on the conveyor belt (2), and each equipment mark corresponds to one group of wireless control equipment (5);
The picture control module is used for identifying the model of the display, generating a product test image, and controlling the display to display the product test image through the wireless control equipment (5);
the image sequence construction module is used for acquiring images of a display on the driving belt (2) according to a preset time step, acquiring real-time acquired images, carrying out image region identification on the real-time acquired images, and constructing a to-be-identified image sequence, wherein the to-be-identified image sequence comprises a plurality of groups of to-be-identified images;
the anomaly identification module is used for carrying out pixel information statistics on the picture to be identified, identifying the position of the abnormal pixel, generating a position anomaly marking image and storing the position anomaly marking image.
7. The computer hardware anomaly detection system of claim 6, wherein the picture control module comprises:
the device identification unit is used for extracting the display hardware information through the wireless control device (5) and identifying the model and the number of the display based on the display hardware information;
the information query unit is used for determining the resolution of the display and the fault type of the display based on the display hardware information;
and the equipment control unit is used for generating a plurality of groups of product test images based on the fault type of the display and the resolution of the display, and controlling the display to display and switch the product test images according to a preset time interval through the wireless control equipment (5).
8. The computer hardware anomaly detection system of claim 6, wherein the picture sequence construction module comprises:
the image acquisition unit is used for acquiring images according to a preset time step, storing acquired real-time acquired images according to a time sequence, wherein the time interval for acquiring the images is smaller than the time interval for switching the images of the product test images;
the image dividing unit is used for dividing the real-time acquired image into a plurality of image areas, identifying equipment marks and determining the corresponding relation between the equipment marks and the image areas and the display;
the picture classifying unit is used for storing picture areas corresponding to the same display together according to the acquisition sequence, and constructing a picture sequence to be identified for each display.
9. The computer hardware anomaly detection system of claim 6, wherein the anomaly identification module comprises:
the color information statistical unit is used for carrying out color information identification on each pixel in the picture to be identified, classifying each pixel according to the color information and determining the number of pixels corresponding to each color information;
The abnormal pixel positioning unit is used for determining color information corresponding to the abnormal pixels according to the number of the pixels corresponding to the color information and determining coordinates of the abnormal pixels;
and the mark image generating unit is used for determining a background color based on the color information of the abnormal pixels, generating a position abnormal mark image based on the background color, marking the abnormal pixels through a preset pattern and storing the position abnormal mark image.
10. The computer hardware anomaly detection system according to claim 6, wherein the driving belt (2) is mounted on the base (1), a plurality of object stages (3) are arranged on the driving belt (2), a plurality of clamps (4) are fixedly arranged on the object stages (3), wireless control equipment (5) are fixedly arranged on the object stages (3), at least two groups of cables are arranged on the wireless control equipment (5), one group of cables is used for supplying power to the display, one group of cables is used for providing picture signals to the display, a bracket (6) is mounted on one side of the base (1), a control center and a camera (7) are fixedly mounted on the bracket (6), and the control center is connected with all the wireless control equipment (5) through wireless communication.
CN202311529472.1A 2023-11-16 Computer hardware anomaly detection method and system Active CN117274720B (en)

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