CN115809187B - Method for processing waste products of frameless flat panel display based on big data screening - Google Patents
Method for processing waste products of frameless flat panel display based on big data screening Download PDFInfo
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Abstract
The invention provides a method for processing waste products of a frameless flat panel display based on big data screening, belongs to the field of displays, and solves the problem that the current detection method of the display cannot be applied to the frameless flat panel display, and the method comprises the following steps: the performance detection module detects the performance condition of the frameless flat panel display and detects and generates a normal performance signal or an abnormal performance signal; the display detection module detects the display condition of the frameless flat panel display to generate a display normal signal or a display abnormal signal; the intelligent comparison module compares the display conditions of the frameless flat-panel display before and after external force is applied to the frameless flat-panel display to generate a comparison normal signal or a comparison abnormal signal; the invention sets a detection method for matching the borderless flat-panel display by starting from factors such as display, performance, extrusion and the like.
Description
Technical Field
The invention relates to the technical field of displays, in particular to a waste treatment method of a frame-free flat panel display based on big data screening.
Background
The display is an I/O device, i.e., an input/output device, of the computer. It is a display tool that displays certain electronic files on a screen through a specific transmission device. It can be classified into a cathode ray tube display (CRT), a plasma display PDP, and a liquid crystal display LCD. The display receives signals from the computer and forms images that function as a television receiver. Some computer screens use liquid crystal displays. Computer screens are also known as visual displays.
With the increasing use proportion of the current frameless flat panel display, compared with a display with a frame, the damage rate of the frameless flat panel display in the transportation process is higher, the original detection method for the display with the frame cannot be applied to the frameless flat panel display, and therefore a method for processing waste products of the frameless flat panel display based on big data screening is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method for treating waste products of a frameless flat-panel display based on big data screening.
The technical problem to be solved by the invention is as follows:
how to set an adaptive detection method for a frameless flat panel display based on multiple factors.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a method for processing waste products of a frameless flat panel display based on big data screening comprises the following steps:
step S101, a user terminal inputs a product number of a frameless flat panel display, obtains preset performance parameters, preset display parameters and preset appearance parameters according to the product number, and collects real-time performance data;
step S102, a performance detection module detects the performance condition of the frameless flat panel display, detects and generates a normal performance signal or an abnormal performance signal, and induces the corresponding frameless flat panel display to a waste collection or a test collection with the same product number according to the signal;
step S103, the user terminal also inputs an external force application value, the data acquisition module acquires first real-time display data, the display detection module detects the display condition of the frameless flat panel display to generate a display normal signal or a display abnormal signal, and the corresponding frameless flat panel display in the test set is removed and summarized to a waste set according to the display abnormal signal;
step S104, if a display normal signal is generated, an external force applying module applies an external force to the frameless flat panel display in the test set, a data acquisition module acquires second real-time display data and real-time appearance data, and an intelligent comparison module compares display conditions before and after the external force is applied to the frameless flat panel display to generate a comparison normal signal or a comparison abnormal signal;
and S105, summarizing the corresponding frameless flat panel display to a waste product set or a qualified set with the same product number according to the signal, and processing the frameless flat panel display in the waste product set by using a waste product processing module.
Furthermore, the detection platform is connected with a data acquisition module, a performance detection module, a user terminal, a display detection module, an external force application module, a waste treatment module and an intelligent comparison module, a database is arranged in the detection platform, and the user terminal is used for inputting a product number of a frameless flat panel display test product and sending the product number to the detection platform; the database is used for storing preset appearance parameters, preset performance parameters and preset display parameters of the frameless flat panel display with different product numbers, the detection platform sends the corresponding preset performance parameters in the database to the performance monitoring module according to the product numbers, sends the corresponding preset display parameters in the database to the display detection module, and sends the corresponding preset appearance parameters in the database to the intelligent comparison module; the data acquisition module is used for acquiring real-time performance data of the frameless flat panel display and sending the real-time performance data to the detection platform, and the detection platform sends the real-time performance data to the performance detection module;
the performance detection module is used for detecting the performance condition of the frameless flat panel display, detecting and generating a normal performance signal or an abnormal performance signal and feeding the normal performance signal or the abnormal performance signal back to the server, if the server receives the abnormal performance signal, summarizing the corresponding frameless flat panel display to a waste collection with the same product number, and if the server receives the normal performance signal, summarizing the corresponding frameless flat panel display to a test collection with the same product number;
the user terminal is also used for inputting an external force application value for testing the concentrated frameless flat panel display and sending the external force application value to the detection platform, and the detection platform sends the external force application value to the external force application module; the data acquisition module is used for acquiring first real-time display data of the frameless flat panel display before external force is applied to the flat panel display and sending the first real-time display data to the detection platform, and the detection platform sends the first real-time display data to the display detection module;
the display detection module is used for detecting the display condition of the frameless flat panel display, detecting and generating a display normal signal or a display abnormal signal and feeding the display normal signal or the display abnormal signal back to the server, if the server receives the display abnormal signal, removing the corresponding frameless flat panel display in the test set and summarizing the frameless flat panel display to a waste set with the same product number, if the server receives the display normal signal, generating an external force application instruction and loading the external force application instruction to the external force application module, and after receiving the external force application instruction, the external force application module is used for applying external force to the frameless flat panel display in the test set with the same product number according to the external force application value;
the data acquisition module is also used for acquiring second real-time display data and real-time appearance data of the frameless flat panel display after external force is applied to the frameless flat panel display and sending the second real-time display data and the real-time appearance data to the detection platform, and the detection platform sends the second real-time display data and the real-time appearance data to the intelligent comparison module; the intelligent comparison module is used for comparing display conditions before and after external force is applied to the frameless flat panel display, comparing the display conditions to generate a comparison normal signal or a comparison abnormal signal and feeding the comparison normal signal or the comparison abnormal signal back to the server, if the server receives the comparison abnormal signal, eliminating a corresponding frameless flat panel display in the test set and summarizing the frameless flat panel display in the test set to a waste product set with the same product number, if the server receives the comparison normal signal, summarizing the frameless flat panel display in the test set to a qualified set, and sending the qualified set and the waste product set of the frameless flat panel display to the user terminal by the server;
the waste treatment module is used for treating the frameless flat panel display in the waste collection.
Further, the preset performance parameters are a standard temperature interval, a standard decibel interval and a standard amplitude interval of the frameless flat-panel display within a preset time length;
presetting display parameters as a standard display picture of the frameless flat panel display and the number of pixel points with different colors in the standard display picture;
presetting appearance parameters as a standard height value and a standard side curvature of the frameless flat panel display;
the real-time performance data is a real-time temperature value, a real-time decibel value and a real-time amplitude value of the frameless flat panel display;
the first real-time display data is a first real-time display picture of the frameless flat panel display, and the second real-time display data is a second real-time display picture of the frameless flat panel display;
the real-time appearance data is a real-time height value, a side real-time bending degree and the like of the frameless flat panel display.
Further, the detection process of the performance detection module is specifically as follows:
setting a performance detection time length equal to a preset time length, and setting a plurality of time points in the performance detection time length;
acquiring real-time performance data of the frameless flat-panel display at a plurality of time points to obtain a real-time temperature value, a real-time decibel value and a real-time amplitude value of the frameless flat-panel display at the plurality of time points;
adding and summing the real-time temperature values at a plurality of time points to obtain an average temperature value of the frameless flat-panel display in the performance detection time length, and calculating an average decibel value and an average amplitude value of the frameless flat-panel display in the performance detection time length in the same way;
if the real-time temperature values at all time points are in the standard temperature interval, the real-time decibel values are in the standard decibel interval and the real-time amplitude values are in the standard amplitude interval, generating a signal with normal performance;
if the real-time temperature value at any time point is not in the standard temperature interval, the real-time decibel value is not in the standard decibel interval or the real-time amplitude value is not in the standard amplitude interval, recording the time point when the real-time temperature value is not in the standard temperature interval as a temperature abnormal time point, counting the number of the temperature abnormal time points as temperature abnormal time points, and similarly, counting the number of the decibel abnormal time points and the amplitude abnormal time points, and calculating the performance abnormal value of the frameless flat-panel display within the performance detection time length;
and if the performance abnormal value does not exceed the performance abnormal threshold, generating a performance abnormal signal.
Further, the values of the temperature abnormal time point, the decibel abnormal time point and the amplitude abnormal time point are all in a direct proportion relation with the performance abnormal value, namely, the larger the values of the temperature abnormal time point, the decibel abnormal time point and the amplitude abnormal time point are, the larger the value of the performance abnormal value is.
Further, the detection process of the display detection module is specifically as follows:
acquiring a first real-time display picture and a standard display picture of a frameless flat-panel display;
then, a rectangular coordinate system is established by taking the upper right corner of the first real-time display picture and the standard display picture as an original point, four position coordinates are input at will, the four position coordinates are mutually connected to form a capturing line to capture a picture on the first real-time display picture to obtain a first real-time picture lattice of the frameless flat panel display, and similarly, the four position coordinates are mutually connected to form a capturing line to capture a picture on the standard display picture to obtain a standard picture lattice;
counting the number of all color pixel points on the first real-time image grid and the standard image grid, if the number of all color pixel points on the first real-time image grid and the standard image grid are the same, generating a normal display signal, and if the number of any color pixel points on the first real-time image grid and the standard image grid are different, generating an abnormal display signal.
Further, the comparison process of the intelligent comparison module is as follows:
inputting the same four position coordinates, and capturing a picture on a second real-time display picture through the four position coordinates to obtain a second real-time picture grid of the frameless flat panel display;
counting the number of pixel points of all colors on the second real-time picture grid, and if the number of the pixel points of any color on the second real-time picture grid is different from that on the first real-time picture grid, generating a comparison abnormal signal;
if the number of pixel points of all colors on the second real-time picture grid is the same as that of the pixel points of all colors on the first real-time picture grid, acquiring a real-time height value and a side real-time curvature of the frameless flat-panel display;
and if the real-time height value is equal to the standard height value and the side real-time curvature is equal to the side standard curvature, generating a comparison normal signal, and if the real-time height value is not equal to the standard height value or the side real-time curvature is not equal to the side standard curvature, generating a comparison abnormal signal.
Further, if a performance abnormal signal or a display abnormal signal is generated, the corresponding frameless flat panel display is marked as a defective product;
if the comparison abnormal signal is generated, the corresponding frameless flat panel display is marked as a defective product;
and returning the borderless flat-panel display calibrated as a defective product to the factory for destroying, and returning the borderless flat-panel display calibrated as a defective product to the factory for producing.
Compared with the prior art, the invention has the beneficial effects that:
the invention detects the performance condition of a frameless flat panel display through a performance detection module, detects and generates a performance normal signal or a performance abnormal signal, generalizes the corresponding frameless flat panel display to a waste product set or a test set with the same product number according to the signal, then detects the display condition of the frameless flat panel display through a display detection module, generates a display normal signal or a display abnormal signal, rejects the corresponding frameless flat panel display in the test set according to the display abnormal signal and generalizes the corresponding frameless flat panel display to the waste product set, if the display normal signal is generated, an external force application module applies external force to the frameless flat panel display in the test set, an intelligent comparison module compares the display conditions before and after the external force is applied to the frameless flat panel display to generate a comparison normal signal or a comparison abnormal signal, generalizes the corresponding frameless flat panel display to the waste product set or a qualified set with the same product number according to the signal, and processes the frameless flat panel display in the waste product set by utilizing a waste product processing module.
Advantages of additional aspects of the invention will be set forth in part in the description of the embodiments which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of the operation of the present invention;
fig. 2 is a block diagram of the system of the present invention.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
In an embodiment, please refer to fig. 1-2, the present invention provides a method for processing waste products of a frameless flat panel display based on big data screening, which is mainly used for factory inspection before the frameless flat panel display is put into use formally;
in this embodiment, please refer to fig. 2, the method includes a detection platform during processing, and the detection platform is connected to a data acquisition module, a performance detection module, a user terminal, a display detection module, an external force application module, a waste processing module, and an intelligent comparison module;
before the test platform is used, the user terminal is used for registering and logging in the test platform after a tester inputs personal information, and sending the personal information to the test platform, wherein the personal information comprises the name, the mobile phone number and the like of the tester;
the method specifically comprises the following steps:
step S101, a user terminal inputs a product number of a test product of a frameless flat panel display, obtains a preset performance parameter, a preset display parameter and a preset appearance parameter of the frameless flat panel display according to the product number, and simultaneously acquires real-time performance data of the frameless flat panel display by using a data acquisition module;
in step S101, the detection platform is configured to detect a test product of a frameless flat panel display, and first, the user terminal is configured to input a product number of the test product of the frameless flat panel display and send the product number to the detection platform;
the detection platform is internally provided with a database, the database is used for storing preset appearance parameters, preset performance parameters and preset display parameters of the frameless flat panel display with different product numbers, the detection platform sends the corresponding preset performance parameters in the database to the performance monitoring module according to the product numbers, the detection platform sends the corresponding preset display parameters in the database to the display detection module according to the product numbers, and the detection platform sends the corresponding preset appearance parameters in the database to the intelligent comparison module according to the product numbers;
specifically, the preset performance parameters are a standard temperature interval, a standard decibel interval and a standard amplitude interval of the frameless flat panel display within a preset time length; the preset display parameters are standard display pictures of the frameless flat-panel display and the number of pixel points with different colors in the standard display pictures, and the preset appearance parameters are standard height values and side surface standard bending degrees of the frameless flat-panel display;
the standard display picture is specifically that a unified video clip is uploaded to a frameless flat panel display and displayed and played, and a display picture on the frameless flat panel display is captured as the standard display picture according to a fixed timestamp;
the data acquisition module is used for acquiring real-time performance data of the frameless flat panel display and sending the real-time performance data to the detection platform, and the detection platform sends the real-time performance data to the performance detection module;
specifically, the real-time performance data is a real-time temperature value, a real-time decibel value, a real-time amplitude value, and the like of the frameless flat panel display;
step S102, a performance detection module detects the performance condition of the frameless flat panel display, detects and generates a normal performance signal or an abnormal performance signal, if the abnormal performance signal is generated, the corresponding frameless flat panel display is summarized to a waste collection with the same product number, and if the normal performance signal is generated, the corresponding frameless flat panel display is summarized to a test collection with the same product number;
in step S102, the performance detection module is configured to detect a performance condition of the frameless flat panel display, where the detection process specifically includes:
setting a performance detection time length equal to a preset time length, and setting a plurality of time points in the performance detection time length;
acquiring real-time performance data of the frameless flat-panel display at a plurality of time points to obtain a real-time temperature value, a real-time decibel value and a real-time amplitude value of the frameless flat-panel display at the plurality of time points;
adding and summing the real-time temperature values at a plurality of time points to obtain an average temperature value of the frameless flat-panel display in the performance detection time length, and calculating an average decibel value and an average amplitude value of the frameless flat-panel display in the performance detection time length in the same way;
if the real-time temperature values at all time points are in the standard temperature interval, the real-time decibel values are in the standard decibel interval and the real-time amplitude values are in the standard amplitude interval, generating a signal with normal performance;
if the real-time temperature value at any time point is not in the standard temperature interval, the real-time decibel value is not in the standard decibel interval or the real-time amplitude value is not in the standard amplitude interval, recording the time point when the real-time temperature value is not in the standard temperature interval as a temperature abnormal time point, counting the number of the temperature abnormal time points as temperature abnormal time point numbers WDS, and similarly, counting to obtain decibel abnormal time point numbers FBS and amplitude abnormal time point numbers ZFS, and calculating to obtain a performance abnormal value XY of the frameless flat panel display within the performance detection time length through a formula XY = WDS x a1+ FBS x a2+ ZFS x a 3; in the formula, a1, a2 and a3 are all weight coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
therefore, the values of the temperature abnormal time point, the decibel abnormal time point and the amplitude abnormal time point are in a direct proportion relation with the result value (performance abnormal value), namely, the larger the values of the temperature abnormal time point, the decibel abnormal time point and the amplitude abnormal time point are, the larger the value of the performance abnormal value is;
if the performance abnormal value exceeds the performance abnormal threshold, generating a performance abnormal signal, and if the performance abnormal value does not exceed the performance abnormal threshold, generating a performance normal signal;
the performance detection module feeds back a normal performance signal or an abnormal performance signal to the server, if the server receives the abnormal performance signal, the corresponding frameless flat panel display is summarized to a waste collection with the same product number, and if the server receives the normal performance signal, the corresponding frameless flat panel display is summarized to a test collection with the same product number;
step S103, the user terminal also inputs an external force application value of the frameless flat panel display in the test set, the data acquisition module acquires first real-time display data of the frameless flat panel display before the external force is applied, the display condition of the frameless flat panel display is detected through the display detection module, a display normal signal or a display abnormal signal is generated and fed back to the server, and if the display abnormal signal is generated, the corresponding frameless flat panel display in the test set is removed and summarized to a waste set with the same product number;
in a further aspect of this embodiment, in step S103, the user terminal is further configured to input an external force application value for testing the centralized frameless flat panel display, and send the external force application value to the detection platform, where the detection platform sends the external force application value to the external force application module;
the data acquisition module is used for acquiring first real-time display data of the frameless flat-panel display before external force is applied to the frameless flat-panel display and sending the first real-time display data to the detection platform, and the detection platform sends the first real-time display data to the display detection module;
specifically, the first real-time display data is a first real-time display picture of the frameless flat panel display, and the method for obtaining the first real-time display picture refers to the standard display picture;
in specific implementation, both the standard display picture and the first real-time display picture on the frameless flat panel display can be transmitted to the detection platform through the HDMI cable;
the display detection module is used for detecting the display condition of the frameless flat panel display, and the detection process specifically comprises the following steps:
acquiring a first real-time display picture and a standard display picture of a frameless flat-panel display; here we default that the first real-time display picture and the standard display picture are the same specification;
then, a rectangular coordinate system is established by taking the upper right corner of the first real-time display picture and the standard display picture as an original point, four position coordinates are input at will, the four position coordinates are mutually connected to form a capturing line to capture a picture on the first real-time display picture to obtain a first real-time picture lattice of the frameless flat panel display, and similarly, the four position coordinates are mutually connected to form a capturing line to capture a picture on the standard display picture to obtain a standard picture lattice;
counting the number of pixel points of all colors on the first real-time picture grid and the standard picture grid, if the number of the pixel points of all colors on the first real-time picture grid is the same as that of the pixel points of all colors on the standard picture grid, generating a normal display signal, and if the number of the pixel points of any color on the first real-time picture grid is different from that of the pixel points of any color on the standard picture grid, generating an abnormal display signal;
the display detection module feeds back a display normal signal or a display abnormal signal to the server, if the server receives the display abnormal signal, the server rejects the corresponding frameless flat panel display in the test set and summarizes the frameless flat panel display in the test set to a waste product set with the same product number, if the server receives the display normal signal, an external force application instruction is generated and loaded to the external force application module, and the external force application module receives the external force application instruction and then is used for applying external force to the frameless flat panel display in the test set with the same product number according to the external force application value;
the method comprises the following steps that a screen center point of a frameless flat panel display is found, an external force application value is given by taking the screen center point as a stress point, the external force application value is input according to a product number of the frameless flat panel display, for example, when a tester knows the product number of a certain frameless flat panel display, the tester can test the frameless flat panel display under the same product number as long as the input external force accords with the external force application value;
step S104, if a display normal signal is generated, an external force application instruction is generated and loaded to an external force application module, the external force application module applies external force to the frameless flat panel display in the test set with the same product number according to the external force application value, a data acquisition module acquires second real-time display data and real-time appearance data of the frameless flat panel display after the external force application, an intelligent comparison module is used for comparing display conditions before and after the external force application of the frameless flat panel display, a comparison normal signal or a comparison abnormal signal is generated, and if the comparison normal signal is generated, the frameless flat panel display in the test set is summarized to a qualified set;
meanwhile, in step S104, after a specified external force application value is applied to the frameless flat panel display, the data acquisition module is configured to acquire second real-time display data and real-time appearance data of the frameless flat panel display after the external force is applied, and send the second real-time display data and the real-time appearance data to the detection platform, and the detection platform sends the second real-time display data and the real-time appearance data to the intelligent comparison module, where the second real-time display data is a second real-time display picture of the frameless flat panel display, the standard display picture is referred to for the second real-time display picture obtaining method, and the real-time appearance data is a real-time height value, a side real-time bending degree, and the like of the frameless flat panel display;
the intelligent comparison module is used for comparing display conditions before and after external force is applied to the frameless flat-panel display, and the comparison process specifically comprises the following steps:
inputting the same four position coordinates, and capturing a picture on a second real-time display picture through the four position coordinates to obtain a second real-time picture grid of the frameless flat panel display;
counting the number of pixel points of all colors on the second real-time picture grid, and if the number of the pixel points of any color on the second real-time picture grid is different from that on the first real-time picture grid, generating a comparison abnormal signal;
if the number of pixel points of all colors on the second real-time picture grid is the same as that of the pixel points of all colors on the first real-time picture grid, acquiring a real-time height value and a side real-time curvature of the frameless flat-panel display;
if the real-time height value is equal to the standard height value and the side real-time curvature is equal to the side standard curvature, generating a comparison normal signal, and if the real-time height value is not equal to the standard height value or the side real-time curvature is not equal to the side standard curvature, generating a comparison abnormal signal;
the method for comparing the real-time curvature of the side surface with the standard curvature of the side surface can adopt a projection method, wherein projection white paper is arranged on one side of the frameless flat panel display, then a beam of light passes through the other side of the frameless flat panel display to project a side image of the frameless flat panel display onto the projection white paper, the side image is depicted on the projection white paper, and then the real-time curvature of the side surface of the frameless flat panel display can be obtained, and the process for obtaining the standard curvature of the side surface is also the same;
the intelligent comparison module feeds back a comparison normal signal or a comparison abnormal signal to the server, if the server receives the comparison abnormal signal, the server rejects the corresponding frameless flat panel display in the test set and summarizes the frameless flat panel display in the test set to a waste set with the same product number, if the server receives the comparison normal signal, the server summarizes the frameless flat panel display in the test set to a qualified set, and the server sends the qualified set and the waste set of the frameless flat panel display to the user terminal;
specifically, a tester at the user terminal divides the frameless flat panel display into a qualified product and a defective product according to the qualified product and the waste product set;
step S105, if the comparison abnormal signal is generated, eliminating the corresponding frameless flat panel display in the test set and inducing the frameless flat panel display to a waste set with the same product number, processing the frameless flat panel display in the waste set through a waste processing module, and marking the corresponding frameless flat panel display as a production defective product or a quality defective product;
in step S105, the waste processing module is configured to process a borderless flat panel display in the waste collection, and if a performance abnormal signal or a display abnormal signal is generated, mark the corresponding borderless flat panel display as a production defective product; if a comparison abnormal signal is generated, the corresponding frameless flat panel display is calibrated as a defective product; returning the frameless flat panel display calibrated as a defective product to a factory for destroying, and returning the frameless flat panel display calibrated as a defective product to the factory for producing;
the above formulas are all calculated by taking the numerical value of the dimensionless dimension, for example, the weight coefficient and the scale coefficient exist, the set size is a specific numerical value obtained by quantizing each parameter, and regarding the size of the weight coefficient and the scale coefficient, the method only needs to be used as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
In the embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
The above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (3)
1. A method for processing waste products of a frameless flat panel display based on big data screening is characterized by comprising the following steps:
step S101, a user terminal inputs a product number of a frameless flat panel display, obtains preset performance parameters, preset display parameters and preset appearance parameters according to the product number, and collects real-time performance data;
step S102, a performance detection module detects the performance condition of the frameless flat panel display, detects and generates a normal performance signal or an abnormal performance signal, and summarizes the corresponding frameless flat panel display to a waste collection or a test collection with the same product number according to the signal;
step S103, the user terminal also inputs an external force application value, the data acquisition module acquires first real-time display data, the display detection module detects the display condition of the frameless flat panel display to generate a display normal signal or a display abnormal signal, and the corresponding frameless flat panel display in the test set is removed and summarized to a waste set according to the display abnormal signal;
step S104, if a display normal signal is generated, an external force applying module applies an external force to the frameless flat panel display in the test set, a data acquisition module acquires second real-time display data and real-time appearance data, and an intelligent comparison module compares the display conditions before and after the external force is applied to the frameless flat panel display to generate a comparison normal signal or a comparison abnormal signal;
step S105, summarizing the corresponding frameless flat panel display to a waste product set or a qualified set with the same product number according to the signal, and processing the frameless flat panel display in the waste product set by using a waste product processing module;
the detection platform is connected with a data acquisition module, a performance detection module, a user terminal, a display detection module, an external force application module, a waste treatment module and an intelligent comparison module, a database is arranged in the detection platform, and the user terminal is used for inputting product numbers of test products of the frameless flat panel display and sending the product numbers to the detection platform; the database is used for storing preset appearance parameters, preset performance parameters and preset display parameters of the frameless flat panel display with different product numbers, the detection platform sends the corresponding preset performance parameters in the database to the performance monitoring module according to the product numbers, sends the corresponding preset display parameters in the database to the display detection module, and sends the corresponding preset appearance parameters in the database to the intelligent comparison module; the data acquisition module is used for acquiring real-time performance data of the frameless flat panel display and sending the real-time performance data to the detection platform, and the detection platform sends the real-time performance data to the performance detection module;
the performance detection module is used for detecting the performance condition of the frameless flat panel display, and the detection process specifically comprises the following steps:
setting a performance detection time length equal to a preset time length, and setting a plurality of time points in the performance detection time length;
acquiring real-time performance data of the frameless flat-panel display at a plurality of time points to obtain a real-time temperature value, a real-time decibel value and a real-time amplitude value of the frameless flat-panel display at the plurality of time points;
adding and summing the real-time temperature values at a plurality of time points to obtain an average temperature value of the frameless flat-panel display in the performance detection time length, and calculating an average decibel value and an average amplitude value of the frameless flat-panel display in the performance detection time length in the same way;
if the real-time temperature values at all time points are in the standard temperature interval, the real-time decibel values are in the standard decibel interval and the real-time amplitude values are in the standard amplitude interval, generating a signal with normal performance;
if the real-time temperature value at any time point is not in the standard temperature interval, the real-time decibel value is not in the standard decibel interval or the real-time amplitude value is not in the standard amplitude interval, recording the time point when the real-time temperature value is not in the standard temperature interval as a temperature abnormal time point, counting the number of the temperature abnormal time points as temperature abnormal time points, and similarly, counting the number of the decibel abnormal time points and the amplitude abnormal time points, and calculating the performance abnormal value of the frameless flat-panel display within the performance detection time length;
if the performance abnormal value exceeds the performance abnormal threshold, generating a performance abnormal signal, and if the performance abnormal value does not exceed the performance abnormal threshold, generating a performance normal signal;
the values of the temperature abnormal time point, the decibel abnormal time point and the amplitude abnormal time point are in a direct proportion relation with the performance abnormal value, namely the larger the values of the temperature abnormal time point, the decibel abnormal time point and the amplitude abnormal time point are, the larger the value of the performance abnormal value is;
the performance detection module feeds back a normal performance signal or an abnormal performance signal to the server, if the server receives the abnormal performance signal, the corresponding frameless flat panel display is summarized to a waste product set with the same product number, and if the server receives the normal performance signal, the corresponding frameless flat panel display is summarized to a test set with the same product number;
the user terminal is also used for inputting an external force application value for testing the concentrated frameless flat panel display and sending the external force application value to the detection platform, and the detection platform sends the external force application value to the external force application module; the data acquisition module is used for acquiring first real-time display data of the frameless flat panel display before external force is applied to the flat panel display and sending the first real-time display data to the detection platform, and the detection platform sends the first real-time display data to the display detection module;
the display detection module is used for detecting the display condition of the frameless flat panel display, and the detection process specifically comprises the following steps:
acquiring a first real-time display picture and a standard display picture of a frameless flat-panel display;
then, a rectangular coordinate system is established by taking the upper right corner of the first real-time display picture and the standard display picture as an original point, four position coordinates are input at will, the four position coordinates are mutually connected to form a capturing line to capture a picture on the first real-time display picture to obtain a first real-time picture lattice of the frameless flat panel display, and similarly, the four position coordinates are mutually connected to form a capturing line to capture a picture on the standard display picture to obtain a standard picture lattice;
counting the number of pixel points of all colors on the first real-time picture grid and the standard picture grid, if the number of the pixel points of all colors on the first real-time picture grid is the same as that of the pixel points of all colors on the standard picture grid, generating a normal display signal, and if the number of the pixel points of any color on the first real-time picture grid is different from that of the pixel points of any color on the standard picture grid, generating an abnormal display signal;
the display detection module feeds back a display normal signal or a display abnormal signal to the server, if the server receives the display abnormal signal, the server rejects the corresponding frameless flat panel display in the test set and summarizes the frameless flat panel display in the test set to a waste product set with the same product number, if the server receives the display normal signal, an external force application instruction is generated and loaded to the external force application module, and the external force application module receives the external force application instruction and then is used for applying external force to the frameless flat panel display in the test set with the same product number according to the external force application value;
the data acquisition module is also used for acquiring second real-time display data and real-time appearance data of the frameless flat panel display after external force is applied to the frameless flat panel display and sending the second real-time display data and the real-time appearance data to the detection platform, and the detection platform sends the second real-time display data and the real-time appearance data to the intelligent comparison module; the intelligent comparison module is used for comparing display conditions before and after external force is applied to the frameless flat-panel display, and the comparison process specifically comprises the following steps:
inputting the same four position coordinates, and capturing a picture on a second real-time display picture through the four position coordinates to obtain a second real-time picture grid of the frameless flat panel display;
counting the number of pixel points of all colors on the second real-time picture grid, and if the number of the pixel points of any color on the second real-time picture grid is different from that on the first real-time picture grid, generating a comparison abnormal signal;
if the number of pixel points of all colors on the second real-time picture grid is the same as that of the pixel points of all colors on the first real-time picture grid, acquiring a real-time height value and a side real-time curvature of the frameless flat-panel display;
if the real-time height value is equal to the standard height value and the side real-time curvature is equal to the side standard curvature, generating a comparison normal signal, and if the real-time height value is not equal to the standard height value or the side real-time curvature is not equal to the side standard curvature, generating a comparison abnormal signal;
the intelligent comparison module feeds back the comparison normal signal or the comparison abnormal signal to the server, if the server receives the comparison abnormal signal, the server rejects the corresponding frameless flat panel display in the test set and sums the frameless flat panel display to a waste set with the same product number, if the server receives the comparison normal signal, the server sums the frameless flat panel display in the test set to a qualified set, and the server sends the qualified set and the waste set of the frameless flat panel display to the user terminal;
the waste treatment module is used for treating the frameless flat panel display in the waste collection.
2. The method for processing the waste products of the frameless flat panel display based on the big data screening as claimed in claim 1, wherein the preset performance parameters are a standard temperature interval, a standard decibel interval and a standard amplitude interval of the frameless flat panel display within a preset time length;
presetting display parameters as a standard display picture of the frameless flat panel display and the number of pixel points with different colors in the standard display picture;
presetting appearance parameters as a standard height value and a side standard bending of a frameless flat-panel display;
the real-time performance data is a real-time temperature value, a real-time decibel value and a real-time amplitude value of the frameless flat panel display;
the first real-time display data is a first real-time display picture of the frameless flat panel display, and the second real-time display data is a second real-time display picture of the frameless flat panel display;
the real-time appearance data is a real-time height value and a real-time side curvature of the frameless flat-panel display.
3. The method for processing the waste products of the frameless flat panel display based on the big data screening as claimed in claim 1, wherein if the performance abnormal signal or the display abnormal signal is generated, the corresponding frameless flat panel display is marked as a defective product;
if the comparison abnormal signal is generated, the corresponding frameless flat panel display is marked as a defective product;
and returning the frameless flat panel display calibrated as a defective product to a factory for destroying, and returning the frameless flat panel display calibrated as a defective product to the factory for producing.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114819758A (en) * | 2022-06-27 | 2022-07-29 | 深圳市博硕科技股份有限公司 | Die-cutting machine product thickness abnormity detection system |
| CN115376437A (en) * | 2022-08-27 | 2022-11-22 | 亿慧云智能科技（深圳）股份有限公司 | Display method and system of display panel |
| CN115528329A (en) * | 2022-11-09 | 2022-12-27 | 智洋创新科技股份有限公司 | Storage battery real-time operation detection method and detection system |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103207697A (en) * | 2012-01-17 | 2013-07-17 | 冠捷投资有限公司 | Control method for narrow frame or frame-less monitor |
| CN103203325A (en) * | 2013-03-06 | 2013-07-17 | 厦门通士达新科技有限公司 | System and method of online vision detection |
| CN104807829B (en) * | 2015-04-17 | 2018-08-24 | 武汉易视维科技有限公司 | A kind of nozzle stick vision detection system and method |
| CN106775386B (en) * | 2016-11-30 | 2019-11-15 | 努比亚技术有限公司 | Rimless mobile terminal and its touch control method |
| CN109448227A (en) * | 2018-08-24 | 2019-03-08 | 上海久驻环保科技有限公司 | A kind of self-checking system of unmanned intelligent wastepaper recycling case |
| CN110220675B (en) * | 2019-06-11 | 2021-09-28 | 深圳创维－Rgb电子有限公司 | Display performance test system, method, terminal and storage medium |
| CN110263952B (en) * | 2019-06-25 | 2022-03-11 | 吴昶炜 | Intelligent electronic product recovery system |
| CN111722754A (en) * | 2020-06-19 | 2020-09-29 | 京东方科技集团股份有限公司 | Display panel, detection method thereof and display device |
| CN113608990B (en) * | 2021-10-08 | 2022-02-01 | 上海豪承信息技术有限公司 | Terminal performance detection method, device and storage medium |
| CN115412455B (en) * | 2022-07-28 | 2023-12-19 | 南京航空航天大学 | Method and device for detecting abnormality of multiple performance indexes of server based on time sequence |
| CN115456984A (en) * | 2022-09-06 | 2022-12-09 | 艾科芯（深圳）智能科技有限公司 | High-speed image recognition defect detection system based on two-dimensional code |
-
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- 2023-01-17 CN CN202310060100.2A patent/CN115809187B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114819758A (en) * | 2022-06-27 | 2022-07-29 | 深圳市博硕科技股份有限公司 | Die-cutting machine product thickness abnormity detection system |
| CN115376437A (en) * | 2022-08-27 | 2022-11-22 | 亿慧云智能科技（深圳）股份有限公司 | Display method and system of display panel |
| CN115528329A (en) * | 2022-11-09 | 2022-12-27 | 智洋创新科技股份有限公司 | Storage battery real-time operation detection method and detection system |
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