CN113470564B - LED module loss intelligent processing method, system, computer equipment and storage medium - Google Patents
LED module loss intelligent processing method, system, computer equipment and storage medium Download PDFInfo
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- CN113470564B CN113470564B CN202110531789.3A CN202110531789A CN113470564B CN 113470564 B CN113470564 B CN 113470564B CN 202110531789 A CN202110531789 A CN 202110531789A CN 113470564 B CN113470564 B CN 113470564B
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- 238000004590 computer program Methods 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 4
- 230000002238 attenuated effect Effects 0.000 abstract description 9
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
- G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
- G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0233—Improving the luminance or brightness uniformity across the screen
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0242—Compensation of deficiencies in the appearance of colours
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/04—Maintaining the quality of display appearance
- G09G2320/043—Preventing or counteracting the effects of ageing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention discloses an intelligent processing method for LED module loss, which comprises the following steps: acquiring a target image acquired by a camera in real time; clipping the target image to clip an LED area image from the target image; carrying out noise reduction processing on the LED area image to generate a reference area image; extracting all LED modules from the reference area image and calculating RGB information of each LED module; generating a thermodynamic diagram in a target time period according to the RGB information; and generating a module exchange list according to a preset rule and a thermodynamic diagram. The invention also discloses an intelligent processing system for the LED module loss, computer equipment and a computer readable storage medium. By adopting the invention, the RGB information of each LED module in the target time period can be identified, and the thermodynamic diagram taking the LED module as a unit is constructed, so that the exchange scheme is determined to realize the rearrangement of the LED modules, and the loss of all the LED modules can be attenuated uniformly as much as possible.
Description
Technical Field
The present invention relates to the field of LED display technologies, and in particular, to an LED module loss intelligent processing method, an LED module loss intelligent processing system, a computer device, and a computer readable storage medium.
Background
Due to the characteristics of the LED screen body, the brightness and the service life of the LED screen body can be correspondingly attenuated in the long-time use process. In daily use, the played content is not fixed, so that the difference between the brightness attenuation degree of the frequently played content and the brightness attenuation degree of the less bright position and the service life of the end use is quite large.
At present, the purpose of ensuring the consistency of the whole screen can only be ensured by periodically replacing the LED module and correcting the color and the brightness under the condition; meanwhile, the service life problem treatment method can only be realized by replacing the damaged LED model. The result of the above solution is therefore frequent corrections, and the purchase of new LED modules also adds additional costs to the customer.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent processing method, an intelligent processing system, computer equipment and a computer readable storage medium for LED module loss, which can effectively determine the exchange scheme among LED modules to realize the rearrangement of the LED modules and uniformly attenuate the loss of the LED modules as much as possible.
In order to solve the technical problems, the invention provides an intelligent processing method for LED module loss, which comprises the following steps: acquiring a target image acquired by a camera in real time; clipping the target image to clip an LED area image from the target image; carrying out noise reduction processing on the LED area image to generate a reference area image; extracting all LED modules from the reference area image and calculating RGB information of each LED module; generating a thermodynamic diagram in a target time period according to the RGB information; and generating a module exchange list according to a preset rule and a thermodynamic diagram.
As an improvement of the above-described aspect, the step of extracting all LED modules from the reference area image and calculating RGB information of each LED module includes: extracting the minimum circumscribed quadrangle corresponding to each LED lamp from the reference area image to form a plurality of LED modules; constructing a reference coordinate of each LED module; and calculating RGB information of each LED module according to the reference coordinates.
As an improvement of the above scheme, the method for intelligently processing the LED module loss further includes: each LED module is assigned an identification number.
As an improvement of the above-described aspect, the step of generating the thermodynamic diagram in the target period of time from the RGB information includes: extracting all RGB information of each LED module in the target time period; performing thermal classification according to the RGB information, wherein each piece of RGB information corresponds to one thermal classification result; determining the thermal type of each LED module according to all the thermal classification results of each LED module in the target time period, wherein the thermal type comprises a low-power consumption type, a medium-high-power consumption type and a high-power consumption type; and constructing a thermodynamic diagram in the target time period according to the thermodynamic types of all the LED modules in the target time period.
As an improvement of the above solution, the preset rule includes: and exchanging the LED module corresponding to the high power consumption type with the LED module corresponding to the low power consumption type in the thermodynamic diagram.
Correspondingly, the invention also provides an intelligent LED module loss processing system, which comprises: the acquisition module is used for acquiring the target image acquired by the camera in real time; the clipping module is used for clipping the target image so as to clip the LED area image from the target image; the noise reduction module is used for carrying out noise reduction processing on the LED area image so as to generate a reference area image; the RGB module is used for extracting all the LED modules from the reference area image and calculating RGB information of each LED module; the thermodynamic diagram module is used for generating a thermodynamic diagram in a target time period according to the RGB information; and the exchange module is used for generating a module exchange list according to a preset rule and a thermodynamic diagram.
As an improvement of the above, the RGB module includes: the LED construction unit is used for extracting the minimum circumscribed quadrangle corresponding to each LED lamp from the reference area image so as to form a plurality of LED modules; the coordinate construction unit is used for constructing the reference coordinate of each LED module; and the RGB calculating unit is used for calculating RGB information of each LED module according to the reference coordinates.
As an improvement of the above solution, the thermodynamic diagram module includes: the RGB extraction unit is used for extracting all RGB information of each LED module in the target time period; the thermodynamic classification unit is used for carrying out thermodynamic classification according to the RGB information, wherein each piece of RGB information corresponds to one thermodynamic classification result; the type identification unit is used for determining the thermal type of each LED module according to all thermal classification results of each LED module in the target time period, wherein the thermal type comprises a low-power consumption type, a medium-high-power consumption type and a high-power consumption type; and the thermodynamic diagram construction unit is used for constructing thermodynamic diagrams in the target time period according to the thermodynamic types of all the LED modules in the target time period.
Correspondingly, the invention also provides computer equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the intelligent processing method for the LED module loss when executing the computer program.
Correspondingly, the invention further provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the steps of the intelligent LED module loss processing method when being executed by a processor.
The implementation of the invention has the following beneficial effects:
according to the invention, by combining the characteristics of the LED display screen, the content played by the LED display screen is sampled by the camera, so that RGB information of each LED module in a current playing picture in a target time period is effectively identified;
meanwhile, the invention establishes a judging method of the attenuation of the LED module, and the loss of the LED module in a target time period (month or year) is counted and analyzed to generate a thermodynamic diagram taking the LED module as a unit;
in addition, the LED modules are rearranged according to the attenuation degree recorded by the thermodynamic diagram so as to put the LED modules with less attenuation in a region with larger loss, so that the loss of all the modules can be uniformly attenuated as much as possible, the frequency of replacing the modules can be reduced, and the cost can be saved for customers economically.
Drawings
FIG. 1 is a flow chart of an embodiment of the LED module loss intelligent processing method of the invention;
FIG. 2 is a flow chart of an embodiment of the invention for extracting all LED modules from a reference area image and calculating RGB information for each LED module;
FIG. 3 is a flow chart of an embodiment of generating a thermodynamic diagram of a target time period from RGB information in the present invention;
FIG. 4 is a schematic diagram of a module exchange list in the present invention;
FIG. 5 is a schematic diagram of an LED module according to the present invention;
FIG. 6 is a schematic illustration of a thermodynamic diagram of the present invention;
FIG. 7 is a schematic diagram of the structure of the LED module loss intelligent processing system of the invention;
FIG. 8 is a schematic diagram of the RGB module according to the present invention;
fig. 9 is a schematic diagram of the thermodynamic diagram module of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present invention more apparent.
Referring to fig. 1, fig. 1 shows a flowchart of an embodiment of the method for intelligently processing LED module loss according to the present invention, which includes:
s101, acquiring a target image acquired by a camera in real time.
In practical application, after the network environment of the intelligent processing system and the camera is adjusted, the target image (snapshot file) can be continuously collected through the camera, wherein the target image comprises the display area of the LED display screen.
S102, clipping processing is carried out on the target image so as to clip the LED area image from the target image.
And cutting the acquired target picture into a rectangular display area which is as close to the LED display screen as possible according to the area shot by the camera, thereby realizing effective extraction of the LED area image.
S103, performing noise reduction processing on the LED area image to generate a reference area image.
Noise in the LED area image and irrelevant bright spots with larger brightness and smaller volume can be effectively removed by carrying out noise reduction treatment on the LED area image, so that a reference area image convenient to identify is formed.
S104, extracting all the LED modules from the reference area image and calculating RGB information of each LED module.
It should be noted that the reference area image is formed by a plurality of LED modules (i.e., LED lamps), so that according to the distribution characteristics and specific dimensions of the LED modules, all the LED modules can be divided from the reference area image, thereby identifying RGB information of each LED module.
S105, generating a thermodynamic diagram in the target time period according to the RGB information.
The invention adopts RGB information (namely RGB value) to represent the loss intensity of the LED module, wherein, the larger the RGB value is, the larger the loss of the LED module is, and the smaller the RGB value is, the smaller the loss of the LED module is; meanwhile, the magnitude of the RGB values can also be represented by thermodynamic diagrams. Therefore, the thermodynamic diagram in the target time period can be generated by counting the RGB information of all the LED modules in the target time period, so that the loss condition of the LED modules in the target time period can be determined.
S106, generating a module exchange list according to preset rules and thermodynamic diagrams.
It should be noted that the thermodynamic diagram records the thermal types of all LED modules, and specifically, the thermal types of the present invention include a low power consumption type, a medium-high power consumption type, and a high power consumption type.
Further, the preset rule includes: and exchanging the LED module corresponding to the high power consumption type with the LED module corresponding to the low power consumption type in the thermodynamic diagram. Therefore, by exchanging the LED modules corresponding to the high power consumption type with the LED modules corresponding to the low power consumption type, the LED modules with less attenuation can be exchanged to the area with larger loss, the attenuation degree is rearranged, and the loss of all the LED modules can be attenuated uniformly as much as possible.
As shown in fig. 4, the module exchange list is used for recording the exchange mode of the LED modules. In practical application, the LED modules can be combined with the identification numbers, and the LED modules are represented by the identification numbers, so that the exchange mode among the LED modules is represented in a form of a table, and the intuitiveness is high.
Therefore, the invention can effectively identify the RGB information of each LED module in the current playing picture in the target time period, and further obtain the thermodynamic diagram of the whole LED display screen in the target time period by taking the LED module as a unit, thereby determining the exchange scheme to realize the rearrangement of the LED modules, ensuring that the loss of all the LED modules can be uniformly attenuated as much as possible, not only reducing the frequency of replacing the LED modules, but also saving the cost for customers economically.
Referring to fig. 2, fig. 2 shows a flowchart of an embodiment of the present invention for extracting all LED modules from a reference area image and calculating RGB information of each LED module, including:
s201, extracting the minimum circumscribed quadrangle corresponding to each LED lamp from the reference area image to form a plurality of LED modules.
S202, the reference coordinates of each LED module are constructed (see fig. 5).
S203, calculating RGB information of each LED module according to the reference coordinates.
It should be noted that, according to the reference area image, the minimum circumscribed quadrangle of all the LED lamps can be obtained, then the reference coordinates of the LED lamps can be obtained by a scribing mode, and finally the RGB information of each reference coordinate is identified.
Further, the intelligent processing method for the LED module loss further comprises the following steps: each LED module is assigned an identification number. Therefore, the LED module can be effectively identified through the identification number, so that the identified RGB information can be conveniently associated with the LED module, and the subsequent thermodynamic diagram and the life and death of the module exchange list are also facilitated.
Accordingly, the RGB information of each LED module may be stored in the database, so that after the camera continuously collects the target image, the identified RGB information of each LED module may be marked with an identification number and recorded in the database.
Referring to fig. 3, fig. 3 shows a flowchart of an embodiment of generating a thermodynamic diagram within a target time period according to RGB information in the present invention, including:
s301, extracting all RGB information of each LED module in the target time period.
For example, if the target image acquired by the camera within one hour is 100, 100 sets of RGB information can be generated correspondingly.
S302, performing thermal classification according to RGB information.
It should be noted that, in the present invention, each RGB information corresponds to a thermal classification result.
The invention adopts RGB information (namely RGB value) to represent the loss intensity of the LED module, wherein, the larger the RGB value is, the larger the loss of the LED module is, and the smaller the RGB value is, the smaller the loss of the LED module is; accordingly, the thermodynamic type in the present invention includes a low power consumption type, a medium-high power consumption type, and a high power consumption type. Wherein, the RGB value is smaller than 505050 (16 system number), and the low power consumption type is defined; RGB values greater than 505050 (16-ary number) and less than 828282 (16-ary number), then defined as medium-low power consumption types; RGB values greater than 828282 (16-ary numbers) and less than B4 (16-ary numbers), then defined as medium-high power consumption types; RGB values greater than E6 (16-ary numbers), then defined as high power consumption types; however, the present invention is not limited thereto, and may be adjusted according to practical situations.
Therefore, the invention can determine the thermodynamic classification result (and thermodynamic type) of each RGB information at a certain moment according to the RGB information (namely RGB value), thereby determining the positions of the low-power-consumption LED module, the middle-high-power-consumption LED module and the high-power-consumption LED module in each target image.
S303, determining the thermal type of each LED module according to all the thermal classification results of each LED module in the target time period.
In general, the thermal type with the highest duty ratio may be used as the final thermal type of the LED module, and when the thermal type with the highest duty ratio is multiple, the determination may be performed according to a preset preference level.
For example, in 100 sets of RGB information, the LED module a is defined as a low power consumption type having a number of times of 10 times, a middle low power consumption type having a number of times of 20 times, a middle high power consumption type having a number of times of 40 times, and a high power consumption type having a number of times of 30 times, and the middle high power consumption type having the highest duty ratio is regarded as a thermal type of the LED module a.
For another example, in the 100 sets of RGB information, the LED module B is defined as a low power consumption type with a number of times of 30 times, a middle low power consumption type with a number of times of 20 times, a middle high power consumption type with a number of times of 20 times, and a high power consumption type with a number of times of 30 times, and if the priority of the high power consumption type is greater than that of the low power consumption type, the high power consumption type is regarded as the thermal type of the LED module B.
S304, constructing a thermodynamic diagram in the target time period according to the thermodynamic types of all the LED modules in the target time period.
As shown in fig. 6, an identification number may be assigned in conjunction with each LED module and different colors may be used to represent different heat types to construct a thermodynamic diagram. In practical application, the low power consumption type is represented by green, the medium and low power consumption type is represented by yellow, the medium and high power consumption type is represented by orange, and the high power consumption type is represented by red, but the method is not limited thereto, and can be adjusted according to practical conditions.
Therefore, the invention combines the characteristics of the LED display screen, samples the content played by the LED display screen through the camera, and prepares a judging method of the attenuation of the LED module, thereby statistically analyzing the loss of the LED module in a target time period (month or year) and generating a corresponding thermodynamic diagram, simultaneously calculating a swap scheme by taking the LED module as a unit of the LED display screen, and re-arranging the LED module according to the attenuation degree so as to put the LED module with less attenuation in a region with larger loss, so that the loss of all the modules can be attenuated uniformly as much as possible, the frequency of replacing the modules can be reduced, and the cost can be saved for customers economically.
Referring to fig. 7, fig. 7 shows a specific structure of the LED module loss intelligent processing system 100 of the present invention, which includes:
the acquisition module 1 is used for acquiring the target image acquired by the camera in real time. In practical application, after the network environment of the intelligent processing system and the camera is adjusted, the target image (snapshot file) can be continuously collected through the camera, wherein the target image comprises the display area of the LED display screen.
And the clipping module 2 is used for clipping the target image so as to clip the LED area image from the target image. Specifically, the collected target picture can be cut into a rectangular display area which is as close to the LED display screen as possible according to the area shot by the camera, so that the effective extraction of the LED area image is realized.
And the noise reduction module 3 is used for carrying out noise reduction processing on the LED area image so as to generate a reference area image. Noise in the LED area image and irrelevant bright spots with larger brightness and smaller volume can be effectively removed by carrying out noise reduction treatment on the LED area image, so that a reference area image convenient to identify is formed.
And an RGB module 4 for extracting all the LED modules from the reference area image and calculating RGB information of each LED module. It should be noted that the reference area image is formed by a plurality of LED modules (i.e., LED lamps), so that according to the distribution characteristics and specific dimensions of the LED modules, all the LED modules can be divided from the reference area image, thereby identifying RGB information of each LED module.
And the thermodynamic diagram module 5 is used for generating a thermodynamic diagram in the target time period according to the RGB information. The invention adopts RGB information (namely RGB value) to represent the loss intensity of the LED module, wherein, the larger the RGB value is, the larger the loss of the LED module is, and the smaller the RGB value is, the smaller the loss of the LED module is; meanwhile, the magnitude of the RGB values can also be represented by thermodynamic diagrams. Therefore, the thermodynamic diagram in the target time period can be generated by counting the RGB information of all the LED modules in the target time period, so that the loss condition of the LED modules in the target time period can be determined.
And the exchange module 6 is used for generating a module exchange list according to preset rules and thermodynamic diagrams. It should be noted that the thermodynamic diagram records the thermal types of all LED modules, wherein the thermal types of the present invention include a low power consumption type, a medium-high power consumption type, and a high power consumption type. Specifically, the corresponding preset rule includes: and exchanging the LED module corresponding to the high power consumption type with the LED module corresponding to the low power consumption type in the thermodynamic diagram. Therefore, by exchanging the LED modules corresponding to the high power consumption type with the LED modules corresponding to the low power consumption type, the LED modules with less attenuation can be exchanged to the area with larger loss, the attenuation degree is rearranged, and the loss of all the LED modules can be attenuated uniformly as much as possible.
As shown in fig. 4, the module exchange list is used for recording the exchange mode of the LED modules. In practical application, the LED modules can be combined with the identification numbers, and the LED modules are represented by the identification numbers, so that the exchange mode among the LED modules is represented in a form of a table, and the intuitiveness is high.
Therefore, the invention can effectively identify the RGB information of each LED module in the current playing picture in the target time period, and further obtain the thermodynamic diagram of the whole LED display screen in the target time period by taking the LED module as a unit, thereby determining the exchange scheme to realize the rearrangement of the LED modules, ensuring that the loss of all the LED modules can be uniformly attenuated as much as possible, not only reducing the frequency of replacing the LED modules, but also saving the cost for customers economically.
As shown in fig. 8, the RGB module 4 includes:
the LED construction unit 41 is configured to extract a minimum circumscribed quadrangle corresponding to each LED lamp from the reference area image, so as to form a plurality of LED modules.
A coordinate construction unit 42 for constructing reference coordinates (see fig. 5) of each LED module.
An RGB calculating unit 43 for calculating RGB information of each LED module according to the reference coordinates.
It should be noted that, according to the reference area image, the minimum circumscribed quadrangle of all the LED lamps can be obtained, then the reference coordinates of the LED lamps can be obtained by a scribing mode, and finally the RGB information of each reference coordinate is identified.
Further, the RGB module 4 further comprises an identification unit 44, the identification unit 44 being adapted to assign an identification number to each LED module. Therefore, the LED module can be effectively identified through the identification number, so that the identified RGB information can be conveniently associated with the LED module, and the subsequent thermodynamic diagram and the life and death of the module exchange list are also facilitated.
Accordingly, the RGB information of each LED module may be stored in the database, so that after the camera continuously collects the target image, the identified RGB information of each LED module may be marked with an identification number and recorded in the database.
As shown in fig. 9, thermodynamic diagram module 5 includes:
the RGB extracting unit 51 is configured to extract all RGB information of each LED module in the target period. For example, if the target image acquired by the camera within one hour is 100, 100 sets of RGB information can be generated correspondingly.
The thermal classification unit 52 is configured to perform thermal classification according to RGB information, where each RGB information corresponds to one thermal classification result. The invention adopts RGB information (namely RGB value) to represent the loss intensity of the LED module, wherein, the larger the RGB value is, the larger the loss of the LED module is, and the smaller the RGB value is, the smaller the loss of the LED module is; accordingly, the thermodynamic type in the present invention includes a low power consumption type, a medium-high power consumption type, and a high power consumption type. Wherein, the RGB value is smaller than 505050 (16 system number), and the low power consumption type is defined; RGB values greater than 505050 (16-ary number) and less than 828282 (16-ary number), then defined as medium-low power consumption types; RGB values greater than 828282 (16-ary numbers) and less than B4 (16-ary numbers), then defined as medium-high power consumption types; RGB values greater than E6 (16-ary numbers), then defined as high power consumption types; however, the present invention is not limited thereto, and may be adjusted according to practical situations. Therefore, the invention can determine the thermodynamic classification result (and thermodynamic type) of each RGB information at a certain moment according to the RGB information (namely RGB value), thereby determining the positions of the low-power-consumption LED module, the middle-high-power-consumption LED module and the high-power-consumption LED module in each target image.
The type identifying unit 53 is configured to determine a thermal type of each LED module according to all thermal classification results of each LED module in the target period, where the thermal type includes a low power consumption type, a medium-high power consumption type, and a high power consumption type. In general, the thermal type with the highest duty ratio may be used as the final thermal type of the LED module, and when the thermal type with the highest duty ratio is multiple, the determination may be performed according to a preset preference level.
And a thermodynamic diagram construction unit 54 for constructing a thermodynamic diagram in the target time period according to the thermodynamic types of all the LED modules in the target time period. As shown in fig. 6, an identification number may be assigned in conjunction with each LED module and different colors may be used to represent different heat types to construct a thermodynamic diagram. In practical application, the low power consumption type is represented by green, the medium and low power consumption type is represented by yellow, the medium and high power consumption type is represented by orange, and the high power consumption type is represented by red, but the method is not limited thereto, and can be adjusted according to practical conditions.
Therefore, the invention combines the characteristics of the LED display screen, samples the content played by the LED display screen through the camera, and prepares a judging method of the attenuation of the LED module, thereby statistically analyzing the loss of the LED module in a target time period (month or year) and generating a corresponding thermodynamic diagram, simultaneously calculating a swap scheme by taking the LED module as a unit of the LED display screen, and re-arranging the LED module according to the attenuation degree so as to put the LED module with less attenuation in a region with larger loss, so that the loss of all the modules can be attenuated uniformly as much as possible, the frequency of replacing the modules can be reduced, and the cost can be saved for customers economically.
Correspondingly, the invention also discloses a computer device which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the LED module loss intelligent processing method when executing the computer program. Meanwhile, the invention also discloses a computer readable storage medium, on which a computer program is stored, which realizes the steps of the intelligent processing method for LED module loss when being executed by a processor.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (10)
1. The intelligent processing method for the LED module loss is characterized by comprising the following steps of:
acquiring a target image acquired by a camera in real time;
clipping the target image to clip an LED area image from the target image;
carrying out noise reduction processing on the LED area image to generate a reference area image;
extracting all LED modules from the reference area image and calculating RGB information of each LED module;
generating a thermodynamic diagram in a target time period according to the RGB information;
and generating a module exchange list according to a preset rule and a thermodynamic diagram.
2. The LED module loss intelligent processing method according to claim 1, wherein the step of extracting all LED modules from the reference area image and calculating RGB information of each LED module comprises:
extracting the minimum circumscribed quadrangle corresponding to each LED lamp from the reference area image to form a plurality of LED modules;
constructing a reference coordinate of each LED module;
and calculating RGB information of each LED module according to the reference coordinates.
3. The LED module loss intelligent processing method of claim 2, further comprising: each LED module is assigned an identification number.
4. The LED module loss intelligent processing method of claim 1, wherein the step of generating a thermodynamic diagram for a target period of time from the RGB information comprises:
extracting all RGB information of each LED module in the target time period;
performing thermal classification according to the RGB information, wherein each piece of RGB information corresponds to one thermal classification result;
determining the thermal type of each LED module according to all the thermal classification results of each LED module in the target time period, wherein the thermal type comprises a low-power consumption type, a medium-high-power consumption type and a high-power consumption type;
and constructing a thermodynamic diagram in the target time period according to the thermodynamic types of all the LED modules in the target time period.
5. The method for intelligently processing LED module loss according to claim 4, wherein the preset rule comprises: and exchanging the LED module corresponding to the high power consumption type with the LED module corresponding to the low power consumption type in the thermodynamic diagram.
6. An intelligent processing system for LED module loss, comprising:
the acquisition module is used for acquiring the target image acquired by the camera in real time;
the clipping module is used for clipping the target image so as to clip the LED area image from the target image;
the noise reduction module is used for carrying out noise reduction processing on the LED area image so as to generate a reference area image;
the RGB module is used for extracting all the LED modules from the reference area image and calculating RGB information of each LED module;
the thermodynamic diagram module is used for generating a thermodynamic diagram in a target time period according to the RGB information;
and the exchange module is used for generating a module exchange list according to a preset rule and a thermodynamic diagram.
7. The LED module loss intelligent handling system of claim 6, wherein the RGB module comprises:
the LED construction unit is used for extracting the minimum circumscribed quadrangle corresponding to each LED lamp from the reference area image so as to form a plurality of LED modules;
the coordinate construction unit is used for constructing the reference coordinate of each LED module;
and the RGB calculating unit is used for calculating RGB information of each LED module according to the reference coordinates.
8. The LED module loss intelligent processing system of claim 6, wherein the thermodynamic diagram module comprises:
the RGB extraction unit is used for extracting all RGB information of each LED module in the target time period;
the thermodynamic classification unit is used for carrying out thermodynamic classification according to the RGB information, wherein each piece of RGB information corresponds to one thermodynamic classification result;
the type identification unit is used for determining the thermal type of each LED module according to all thermal classification results of each LED module in the target time period, wherein the thermal type comprises a low-power consumption type, a medium-high-power consumption type and a high-power consumption type;
and the thermodynamic diagram construction unit is used for constructing thermodynamic diagrams in the target time period according to the thermodynamic types of all the LED modules in the target time period.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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