CN112396075A - Lamp panel classification method, device and system and computer readable storage medium - Google Patents

Lamp panel classification method, device and system and computer readable storage medium Download PDF

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CN112396075A
CN112396075A CN201910754622.6A CN201910754622A CN112396075A CN 112396075 A CN112396075 A CN 112396075A CN 201910754622 A CN201910754622 A CN 201910754622A CN 112396075 A CN112396075 A CN 112396075A
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lamp panel
interval
graded
brightness
classification
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殷雷
韦桂锋
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Xian Novastar Electronic Technology Co Ltd
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Abstract

The embodiment of the invention provides a lamp panel classification method which comprises the steps of obtaining a parameter detection value of a lamp panel to be graded, wherein the parameter detection value is used for representing the brightness and the chroma of the lamp panel to be graded; determining a brightness interval and a chromaticity interval where parameter detection values of the lamp panel to be graded are located; and obtaining the classification result of the lamp panel to be graded according to the brightness interval and the chromaticity interval. According to the embodiment of the invention, the grading treatment is carried out on the lamp panels to be graded through the color difference detection of the LED lamp panels, so that the better display effect is achieved after the lamp panels to be graded in each grade can be corrected by using normal correction software, the display effect of multiple batches of display screens is better, the value of the multiple batches of display screens is further improved, the correction difficulty of the color difference problem of LED finished products caused by the process is reduced, and the production cost of LED manufacturers is reduced.

Description

Lamp panel classification method, device and system and computer readable storage medium
Technical Field
The invention relates to the technical field of color detection, in particular to a lamp panel classification method, a lamp panel classification device, a lamp panel classification system and a computer-readable storage medium.
Background
In the LED display screen industry, an LED lamp is welded on a circuit board with a standard size and a black background, and a plurality of circuit boards are spliced into a large display lamp panel, namely a display screen; before the LED lamp is welded, in order not to influence the ornamental value, a manufacturer can spray ink color oil on one surface of the circuit board, on which the LED lamp is embedded, so that the background of the spliced LED display screen looks consistent under the condition that the lamp is not lighted. However, in actual production, due to process problems, such as inconsistent color of Printed Circuit Board (PCB) ink jet, batch difference of LED lamp beads, etc., or due to limitation of raw materials, display differences of self-luminous products may exist, so that it cannot be guaranteed that the color of the last batch of LED lamp panels after ink jet is completely consistent with that of the next batch, which makes a display screen spliced by a plurality of lamp panels look uneven in color, and a phenomenon of screen blooming exists. The visual phenomenon greatly influences the sale of the LED display screen. At present, LED display screen manufacturers classify LED lamp panels by adopting a method of manually observing and detecting color differences of the LED lamp panels, but human eyes are easy to fatigue, and the problems of large fluctuation of observation errors and inaccurate results exist.
Disclosure of Invention
Based on the above problems, embodiments of the present invention provide a lamp panel classification method, a lamp panel classification device, a lamp panel classification system, and a computer-readable storage medium, which effectively solve the above problems and improve the display effect of multiple batches of display screens, thereby improving the value of multiple batches of display screens, reducing the difficulty in correcting the chromatic aberration problem of LED finished products due to the process, and reducing the production cost of LED manufacturers.
Specifically, the lamp panel classification method provided by the embodiment of the present invention includes: acquiring a parameter detection value of a lamp panel to be graded, wherein the parameter detection value is used for representing the brightness and the chromaticity of the lamp panel to be graded; determining a brightness interval and a chromaticity interval where parameter detection values of the lamp panel to be graded are located; and obtaining the classification result of the lamp panel to be graded according to the brightness interval and the chromaticity interval.
Compared with the prior art, the embodiment ensures that the LED lamp panels in each grade can be corrected by using normal correction software to achieve a better display effect by grading the lamp panels to be graded according to the parameter detection values of the lamp panels to be graded.
In an embodiment of the present invention, the characterization manner of the luminance and the chromaticity includes a luminance value and a color coordinate value, or a luminance value and a wavelength, or a tristimulus value.
In an embodiment of the present invention, before determining the luminance interval and the chrominance interval where the parameter detection value of the lamp panel to be graded is located, the method further includes: and associating the corresponding classification result of the brightness interval and the chroma interval through a preset grading parameter table.
In an embodiment of the present invention, the lamp panel classification method further includes: and obtaining control information according to the classification result, and feeding the control information back to the feeding and discharging device.
On the other hand, the embodiment of the invention also provides a lamp panel classification device, which comprises: the device comprises a parameter acquisition module, a parameter detection module and a parameter display module, wherein the parameter acquisition module is used for acquiring a parameter detection value of the lamp panel to be graded, and the parameter detection value is used for representing the brightness and the chromaticity of the lamp panel to be graded; the grading determination module is used for determining a brightness interval and a chromaticity interval where a parameter detection value of the lamp panel to be graded is located; and the result acquisition module is used for acquiring the classification result of the lamp panel to be graded according to the brightness interval and the chromaticity interval.
Compared with the prior art, the embodiment determines the brightness interval and the chromaticity interval where the parameter detection values of the lamp panels to be graded are located through the grading determination module, and ensures that the LED lamp panels in each grade can achieve a better display effect after being corrected by using normal correction software.
In an embodiment of the present invention, the characterization manner of the luminance and the chromaticity includes a luminance value and a color coordinate value, or a luminance value and a wavelength, or a tristimulus value.
In an embodiment of the present invention, the lamp panel classification apparatus further includes a grading association module, configured to associate the classification result corresponding to the luminance interval and the chrominance interval with each other through a preset grading parameter table.
In an embodiment of the invention, the lamp panel classification device further includes a grading execution module, configured to obtain control information according to the classification result, and feed the control information back to the feeding and discharging device.
In another aspect, an embodiment of the present invention further provides a lamp panel classification system, including: the lamp panel classification method comprises a memory and a processor connected with the memory, wherein the memory stores a computer program, and the processor executes any one of the lamp panel classification methods when running the computer program.
In yet another aspect, an embodiment of the present invention further provides a computer-readable storage medium, which is a non-volatile memory and stores computer-executable instructions, where the computer-executable instructions are used to execute any one of the above lamp panel classification methods.
The technical scheme can have the following advantages or beneficial effects: this embodiment is through according to the parameter detection value of waiting to step the lamp plate of waiting to step is rateed and is handled the lamp plate that steps, guarantees that the LED lamp plate in each step can use normal correction software to rectify the back, reaches better display effect to make the display effect of many batches of display screens better, and then promote the value of many batches of display screens, reduce the correction degree of difficulty of the colour difference problem of LED finished product because technology leads to, and according to output the tired problem of observation when the manual observation can be solved to the classification result, can output to the manipulator even and carry out mechanized classification, reduction manufacturing cost and intensity of labour.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a lamp panel classification method according to a first embodiment of the present invention.
Fig. 2 is a schematic block diagram of a lamp panel classification device according to a second embodiment of the present invention.
Fig. 3 is a schematic block diagram of a lamp panel classification system according to a third embodiment of the present invention.
Fig. 4 is a block diagram of a computer-readable storage medium according to a fourth embodiment of the present invention. [ brief description of the drawings ]
S1-S3: classifying the lamp panels;
10: a lamp panel classification device; 11: a parameter acquisition module; 12: a grading determination module; 13: a result obtaining module;
20: a lamp panel classification system; 21: a processor; 22: a memory;
30: a computer-readable storage medium; 31: computer-executable instructions.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
[ first embodiment ] A method for manufacturing a semiconductor device
Referring to fig. 1, fig. 1 is a flowchart of a lamp panel classification method according to a first embodiment of the present invention. The lamp panel classification method comprises the following steps:
step S1, acquiring a parameter detection value of the lamp panel to be graded, wherein the parameter detection value is used for representing the brightness and the chromaticity of the lamp panel to be graded; specifically, parameter detection values of the lamp panel to be graded are collected through data collection equipment such as a colorimeter or equipment with a brightness and chroma value measurement function, and the representing modes of brightness and chroma include but are not limited to brightness values and color coordinate values, or brightness values and wavelengths, or tristimulus values;
step S2, determining a brightness interval and a chromaticity interval where the parameter detection values of the lamp panel to be graded are located; specifically, the classification results corresponding to the brightness interval and the chromaticity interval are associated through a preset grading parameter table, and parameter detection values of the lamp panel to be graded are compared one by one according to the brightness interval and the chromaticity interval of the preset grading parameter table; and
step S3, obtaining the classification result of the lamp panel to be graded according to the brightness interval and the chromaticity interval; specifically, when all parameter detection values of the lamp panel to be graded are located in the luminance interval and the chrominance interval, the classification result associated with the luminance interval and the chrominance interval is used as a classification result.
In a specific embodiment, the lamp panel classification method further includes obtaining control information according to the classification result, and feeding back the control information to a loading and unloading device such as a manipulator.
In order to more clearly understand the present embodiment, the lamp panel classification method of the present embodiment is briefly described below. The lamp panel classification method provided by the embodiment of the invention is characterized in that the software is used for grading the parameter detection values of the lamp panels to be graded according to the preset grading parameter table, so that the colors of the LED lamp panels belonging to the same grading in multiple batches are uniform after the LED lamp panels are spliced into the display screen. The preset grading parameter table here may be obtained by a user (user) by operating the software to perform setting, or may be obtained by the user by operating the software to import the preset grading parameter table, which is not limited herein. The following description will be given by taking an example in which the user (user) performs setting by operating the software to obtain the preset grading parameter table.
A user sets a plurality of graded brightness intervals and chromaticity intervals of a plurality of parameter detection values according to actual needs. And collecting the parameter detection value of the lamp panel to be graded through data collection equipment such as a colorimeter or equipment with a measured brightness and chroma value. The data acquisition method can adopt the existing method, and the details are not repeated here. The parameter detection value is used for representing the brightness and the chromaticity of the lamp panel to be graded, and the brightness and the chromaticity can be represented by a combination of brightness and color coordinates (Cx, Cy), a combination of brightness and wavelength, or other parameters capable of representing chromaticity such as XYZ tristimulus values. Each of the gradations includes the corresponding luminance interval and the chrominance interval, and the gradations can be seen in table 1 and table 2.
TABLE 1 luminance and chrominance intervals with luminance and color coordinates as multiple gradations
Figure BDA0002168341630000061
Figure BDA0002168341630000071
TABLE 2 luminance and chrominance intervals in multiple gradations of luminance and wavelength
Figure BDA0002168341630000072
In addition, the above-mentioned lamp panel to be graded may also be a self-luminous lamp panel, and the preset grading parameter table generally includes a plurality of graded luminance intervals and chromaticity intervals of different colors, for example, one grading interval may have a luminance interval and chromaticity interval corresponding to at least 1 (monochromatic) color to 3 (RGB three colors) or may be set by adding other composite colors (white, yellow, etc.).
And after data acquisition, classifying the parameter detection values according to a preset grading parameter table to obtain a classification result. For example, the parameter detection values are compared with the corresponding luminance intervals and the corresponding chrominance intervals of the plurality of grades one by one to judge which classification result the lamp panel to be graded belongs to. And when the parameter detection values are all located in the brightness interval and the chromaticity interval corresponding to the classification result, taking the corresponding classification result as the classification result of the lamp panel to be classified. For example, the acquired parameter detection values of the lamp panel to be graded include, for example, a red brightness value of 870, a Cx of 0.693, a Cy of 0.3, a green brightness value of 1750, a Cx of 0.17, a Cy of 0.738, a blue brightness value of 280, a Cx of 0.137, and a Cy of 0.078. Comparing the parameter detection value of the lamp panel to be graded with the brightness interval and the chromaticity interval in the table 1 one by one, and determining that the classification result of the lamp panel to be graded is the first grade. Therefore, the classification result of the lamp panel to be classified is the first grade. And finally, outputting the classification result of the graded lamp panel, for example, outputting the classification result on a display screen or in other modes, so that a user can learn the classification result of the lamp panel.
Further, lamp plate classification when the LED lamp plate is completed through an automatic production line and a manipulator, data collection is carried out on the LED lamp plate by data collection equipment after the LED lamp plate is fed, a parameter detection value is obtained, then the collected parameter detection value is transmitted to software for classification, after the LED lamp plate reaches a feed opening, the software outputs a classification result, for example, the classification result is displayed through a display or is sent to corresponding equipment, and finally, the LED lamp plate is placed in a placement area corresponding to grading according to the classification result through manual work or automatic equipment, so that the classification of the LED lamp plate can be completed.
In summary, in the present embodiment, the parameter detection values of the lamp panels to be graded are graded according to the preset grading parameter table, so that the LED lamp panels in each grade can be corrected by using normal correction software, and a better display effect is achieved, thereby achieving a better display effect of multiple batches of display screens, further improving the value of multiple batches of display screens, reducing the correction difficulty of chromatic aberration of LED finished products caused by processes, and solving the problem of fatigue observation during manual observation according to the output classification result, and even outputting the LED finished products to the manipulator for mechanical classification, thereby reducing the production cost and labor intensity.
[ second embodiment ]
Referring to fig. 2, fig. 2 is a schematic block diagram of a lamp panel classification apparatus according to a second embodiment of the present invention. Lamp plate sorter 10 includes as follows:
the parameter obtaining module 11 is configured to obtain a parameter detection value of the lamp panel to be graded, where the parameter detection value is used to represent brightness and chromaticity of the lamp panel to be graded; specifically, parameter detection values of the lamp panel to be graded are collected through data collection equipment such as a colorimeter or equipment with a brightness and chroma value measurement function, and the representing modes of brightness and chroma include but are not limited to brightness values and color coordinate values, or brightness values and wavelengths, or tristimulus values;
the grading determination module 12 is configured to determine a luminance interval and a chrominance interval where a parameter detection value of the lamp panel to be graded is located; specifically, the lamp panel classification device 10 further includes a grading association module, configured to associate the classification result corresponding to the luminance interval and the chromaticity interval through a preset grading parameter table, and the grading determination module 12 compares the parameter detection value of the lamp panel to be graded one by one according to the luminance interval and the chromaticity interval of the preset grading parameter table; and
the result obtaining module 13 is configured to obtain a classification result of the lamp panel to be graded according to the luminance interval and the chrominance interval; specifically, when all parameter detection values of the lamp panel to be graded are located in the luminance interval and the chrominance interval, the classification result associated with the luminance interval and the chrominance interval is used as a classification result.
In an embodiment, the light plate sorting apparatus 10 further includes a grading execution module, configured to obtain control information according to the sorting result, and feed the control information back to a feeding and discharging apparatus, such as a manipulator.
For the specific working process and technical effects among the modules in the lamp panel classification device 10 in this embodiment, reference is made to the description of the foregoing first embodiment, which is not repeated herein.
[ third embodiment ]
Referring to fig. 3, fig. 3 is a schematic block diagram of a lamp panel classification system according to a third embodiment of the present invention. The lamp panel classification system 20 comprises a processor 21 and a memory 22 connected with the processor 21; in which the memory 22 stores a computer program. The processor 21 executes the aforementioned lamp panel classification method when running the computer program.
[ fourth example ] A
Referring to fig. 4, fig. 4 is a block diagram of a computer-readable storage medium according to a fourth embodiment of the present invention. The computer-readable storage medium 30 is, for example, a nonvolatile memory, which is, for example: magnetic media (e.g., hard disks, floppy disks, and magnetic tape), optical media (e.g., CDROM disks and DVDs), magneto-optical media (e.g., optical disks), and hardware devices specially constructed for storing and executing computer-executable instructions (e.g., Read Only Memories (ROMs), Random Access Memories (RAMs), flash memories, etc.). Computer-readable storage medium 30 has stored thereon computer-executable instructions 31. The computer-readable storage medium 30 may execute the computer-executable instructions 31 by one or more processors or processing devices to implement the lamp panel classification method in the foregoing first embodiment.
In addition, it should be understood that the foregoing embodiments are merely exemplary illustrations of the present application, and technical solutions of the embodiments can be arbitrarily combined and used in combination without conflict, contradiction, or conflict with the purpose of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and the actual implementation may have another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A lamp panel classification method is characterized by comprising the following steps:
acquiring a parameter detection value of a lamp panel to be graded, wherein the parameter detection value is used for representing the brightness and the chromaticity of the lamp panel to be graded;
determining a brightness interval and a chromaticity interval where parameter detection values of the lamp panel to be graded are located; and
and obtaining the classification result of the lamp panel to be graded according to the brightness interval and the chromaticity interval.
2. The lamp panel classification method according to claim 1, wherein the representation modes of the brightness and the chromaticity comprise a brightness value and a color coordinate value, or a brightness value and a wavelength, or a tristimulus value.
3. The lamp panel classification method according to claim 1, wherein before determining the luminance section and the chrominance section where the parameter detection value of the lamp panel to be graded is located, the method further comprises:
and associating the corresponding classification result of the brightness interval and the chroma interval through a preset grading parameter table.
4. The lamp panel classification method according to claim 1, further comprising:
and obtaining control information according to the classification result, and feeding the control information back to the feeding and discharging device.
5. The utility model provides a lamp plate sorter which characterized in that includes:
the device comprises a parameter acquisition module, a parameter detection module and a parameter display module, wherein the parameter acquisition module is used for acquiring a parameter detection value of the lamp panel to be graded, and the parameter detection value is used for representing the brightness and the chromaticity of the lamp panel to be graded;
the grading determination module is used for determining a brightness interval and a chromaticity interval where a parameter detection value of the lamp panel to be graded is located; and
and the result acquisition module is used for acquiring the classification result of the lamp panel to be graded according to the brightness interval and the chromaticity interval.
6. The lamp panel classification device of claim 5, wherein the representation of the brightness and the chromaticity includes a brightness value and a color coordinate value, or a brightness value and a wavelength, or a tristimulus value.
7. The lamp panel classification device of claim 5, further comprising a grading association module configured to associate the classification result corresponding to the luminance interval and the chrominance interval with a preset grading parameter table.
8. The lamp panel classification device of claim 5, further comprising a grading execution module, configured to obtain control information according to the classification result, and feed the control information back to the feeding and discharging device.
9. The utility model provides a lamp plate classification system which characterized in that includes: the lamp panel classification method comprises a memory and a processor connected with the memory, wherein the memory stores a computer program, and the processor executes the computer program to execute the lamp panel classification method according to any one of claims 1 to 4.
10. A computer-readable storage medium, which is a non-volatile memory and stores computer-executable instructions for performing the lamp panel classification method according to any one of claims 1 to 4.
CN201910754622.6A 2019-08-15 2019-08-15 Lamp panel classification method, device and system and computer readable storage medium Pending CN112396075A (en)

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