CN111583172A - Layout uniformity analysis platform utilizing cloud computing - Google Patents
Layout uniformity analysis platform utilizing cloud computing Download PDFInfo
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- CN111583172A CN111583172A CN202010141705.0A CN202010141705A CN111583172A CN 111583172 A CN111583172 A CN 111583172A CN 202010141705 A CN202010141705 A CN 202010141705A CN 111583172 A CN111583172 A CN 111583172A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- H04B1/38—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T2207/30—Subject of image; Context of image processing
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Abstract
The invention relates to a layout uniformity analysis platform utilizing cloud computing, which comprises: the signal identification equipment is used for matching each component image area where each component target is respectively located from the received image based on the outline of each component; a content dividing device for dividing the received image into sub-images of equal size; the distribution identification equipment is used for identifying the number of the components in each sub-image as the corresponding target number; and the uniformity extraction equipment is used for receiving the target quantities respectively corresponding to the sub-images and executing mean square error calculation on the target quantities so as to determine whether to issue the signal with uneven distribution. The cloud computing based layout uniformity analysis platform is compact in structure and visual in data. Because the layout of the integrated circuit board is intelligently analyzed by adopting an electronic auxiliary judgment mechanism, valuable reference data is provided for the layout revision of the integrated circuit board.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a layout uniformity analysis platform utilizing cloud computing.
Background
For an enterprise, the computing power of a computer is far from meeting the data computing requirement, and then the company needs to purchase a computer with stronger computing power, namely a server. For an enterprise with a relatively large scale, the computing capability of one server is obviously still insufficient, and the enterprise needs to purchase a plurality of servers, and even evolves to be a data center with a plurality of servers, and the number of the servers directly affects the business processing capability of the data center. In addition to the high initial construction cost, the operation expenditure of the computer costs much more money on the electricity charge than the investment cost, and the maintenance expenditure of the computer and the network, the total cost is hard to bear by small and medium-sized enterprises, so the concept of cloud computing is produced.
In the prior art, although the cloud computing technology is relatively mature, the research on the cloud computing technology stays in a theoretical level and a non-application field for a long time, and various advantages of the cloud computing technology are used for various specific application fields, such as identification of reasonability of distribution of components of an integrated circuit board, and sufficient attention and effective research are not paid yet.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a layout uniformity analysis platform utilizing cloud computing, which can judge the reasonability of the distribution of components of the integrated circuit board analyzed at present on the basis of a mean square error value judgment mode and an image analysis mode, thereby providing important reference data for relevant workers to modify the component layout of the integrated circuit board.
Therefore, the invention needs to have the following key invention points:
(1) dividing the currently analyzed integrated circuit board into a plurality of areas, identifying the number of components in each area, and judging the distribution uniformity of the components based on the number of the components in each area;
(2) and realizing concreteness of judging the distribution uniformity of the components based on the mean square error numerical value judging mode and the image analyzing mode.
According to an aspect of the present invention, there is provided a layout uniformity analysis platform using cloud computing, the platform including:
the wireless transceiving equipment is used for sending the received unevenly distributed signals or the evenly distributed signals to the mobile terminal of the nearest worker through a wireless communication link;
the image sensing equipment is arranged above the flexible circuit board to be analyzed, is connected with the wireless transceiving equipment and is used for executing photoelectric sensing action on the flexible circuit board so as to obtain a corresponding field sensing image;
the data correction device is realized by a cloud computing node, is connected with the wireless transceiver device through a network, and is used for executing inclination correction processing on the received field sensing image so as to obtain a corresponding inclination correction image;
the sharpening processing device is realized by a cloud computing node, is connected with the wireless transceiving device through a network, and is used for executing sharpening processing operation based on a Prewitt operator on the received inclination correction image so as to obtain and output a corresponding sharpened processing image;
the signal identification device is connected with the sharpening processing device and used for receiving the sharpened processed image and matching each component image area where each component target is respectively located from the sharpened processed image based on the outline of each component;
the content segmentation device is connected with the signal identification device and is used for uniformly segmenting the received sharpening processing image into sub-images with the same size;
the distribution identification equipment is respectively connected with the signal identification merging equipment and the content segmentation equipment and is used for identifying the number of the components in each sub-image as the target number corresponding to the sub-image;
the uniformity extraction equipment is connected with the distribution identification equipment and used for receiving each target quantity corresponding to each sub-image, executing mean square error calculation on each target quantity and sending out a distribution non-uniformity signal when the obtained mean square error exceeds the limit;
and the uniformity extraction equipment is also used for sending a distribution uniformity signal when the obtained mean square error is not over-limit.
The cloud computing based layout uniformity analysis platform is compact in structure and visual in data. Because the layout of the integrated circuit board is intelligently analyzed by adopting an electronic auxiliary judgment mechanism, valuable reference data is provided for the layout revision of the integrated circuit board.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of a part layout of a layout uniformity analysis platform using cloud computing according to the present invention.
Fig. 2 is a block diagram illustrating a structure of a layout uniformity analysis platform using cloud computing according to an embodiment of the present invention.
Fig. 3 is a block diagram illustrating a structure of a layout uniformity analysis platform using cloud computing according to another embodiment of the present invention.
Detailed Description
An embodiment of a layout uniformity analysis platform using cloud computing according to the present invention will be described in detail with reference to the accompanying drawings.
At present, the ideal layout of the integrated circuit board is to divide the number of components with small difference in each area as much as possible on the premise of considering the mutual interference of the components, so as to avoid the condition that the resistance and the capacitance of a certain area are too dense due to empty or all lines in the area, and further effectively reduce the size and the cost of the integrated circuit board.
In order to overcome the defects, the invention builds a layout uniformity analysis platform by using cloud computing, and can effectively solve the corresponding technical problem.
In fig. 1, a schematic diagram of a component layout of a layout uniformity analysis platform using cloud computing according to the present invention is shown.
Next, specific embodiments of the present invention will be discussed and explained in detail by way of different embodiments.
Fig. 2 is a block diagram illustrating a structure of a layout uniformity analysis platform using cloud computing according to an embodiment of the present invention, the platform including:
the wireless transceiving equipment is used for sending the received unevenly distributed signals or the evenly distributed signals to the mobile terminal of the nearest worker through a wireless communication link;
the image sensing equipment is arranged above the flexible circuit board to be analyzed, is connected with the wireless transceiving equipment and is used for executing photoelectric sensing action on the flexible circuit board so as to obtain a corresponding field sensing image;
the data correction device is realized by a cloud computing node, is connected with the wireless transceiver device through a network, and is used for executing inclination correction processing on the received field sensing image so as to obtain a corresponding inclination correction image;
the sharpening processing device is realized by a cloud computing node, is connected with the wireless transceiving device through a network, and is used for executing sharpening processing operation based on a Prewitt operator on the received inclination correction image so as to obtain and output a corresponding sharpened processing image;
the signal identification device is connected with the sharpening processing device and used for receiving the sharpened processed image and matching each component image area where each component target is respectively located from the sharpened processed image based on the outline of each component;
the content segmentation device is connected with the signal identification device and is used for uniformly segmenting the received sharpening processing image into sub-images with the same size;
the distribution identification equipment is respectively connected with the signal identification merging equipment and the content segmentation equipment and is used for identifying the number of the components in each sub-image as the target number corresponding to the sub-image;
the uniformity extraction equipment is connected with the distribution identification equipment and used for receiving each target quantity corresponding to each sub-image, executing mean square error calculation on each target quantity and sending out a distribution non-uniformity signal when the obtained mean square error exceeds the limit;
and the uniformity extraction equipment is also used for sending a distribution uniformity signal when the obtained mean square error is not over-limit.
Fig. 3 is a block diagram illustrating a structure of a layout uniformity analysis platform using cloud computing according to another embodiment of the present invention, the platform including:
the GPS positioning device is arranged at one side of the signal identification device and is used for providing the current GPS position of the signal identification device;
the real-time display equipment is respectively connected with the signal identification equipment and the content segmentation equipment and is used for displaying various working parameters of the signal identification equipment and various working parameters of the content segmentation equipment;
the wireless transceiving equipment is used for sending the received unevenly distributed signals or the evenly distributed signals to the mobile terminal of the nearest worker through a wireless communication link;
the image sensing equipment is arranged above the flexible circuit board to be analyzed, is connected with the wireless transceiving equipment and is used for executing photoelectric sensing action on the flexible circuit board so as to obtain a corresponding field sensing image;
the data correction device is realized by a cloud computing node, is connected with the wireless transceiver device through a network, and is used for executing inclination correction processing on the received field sensing image so as to obtain a corresponding inclination correction image;
the sharpening processing device is realized by a cloud computing node, is connected with the wireless transceiving device through a network, and is used for executing sharpening processing operation based on a Prewitt operator on the received inclination correction image so as to obtain and output a corresponding sharpened processing image;
the signal identification device is connected with the sharpening processing device and used for receiving the sharpened processed image and matching each component image area where each component target is respectively located from the sharpened processed image based on the outline of each component;
the content segmentation device is connected with the signal identification device and is used for uniformly segmenting the received sharpening processing image into sub-images with the same size;
the distribution identification equipment is respectively connected with the signal identification merging equipment and the content segmentation equipment and is used for identifying the number of the components in each sub-image as the target number corresponding to the sub-image;
the uniformity extraction equipment is connected with the distribution identification equipment and used for receiving each target quantity corresponding to each sub-image, executing mean square error calculation on each target quantity and sending out a distribution non-uniformity signal when the obtained mean square error exceeds the limit;
and the uniformity extraction equipment is also used for sending a distribution uniformity signal when the obtained mean square error is not over-limit.
Next, a detailed structure of the layout uniformity analysis platform using cloud computing according to the present invention will be further described.
In the layout uniformity analysis platform using cloud computing: the signal identification device and the content segmentation device are respectively realized by adopting CPLD chips with different models, and are integrated on the same printed circuit board.
In the layout uniformity analysis platform using cloud computing, the platform further includes: and the temperature sensing equipment is respectively connected with the signal identification equipment and the content segmentation equipment and is used for respectively detecting the shell temperatures of the signal identification equipment and the content segmentation equipment.
In the layout uniformity analysis platform using cloud computing, the platform further includes: the flash lamp controller is positioned on one side of the image sensing equipment and is used for controlling the on-off of the flash lamp based on the real-time environment brightness; wherein controlling the flash to turn on and off based on the real-time ambient brightness comprises: and when the real-time environment brightness is less than or equal to the preset brightness threshold value, the flash lamp is turned on.
In the layout uniformity analysis platform using cloud computing, the platform further includes: the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is greater than the preset brightness threshold value, the flash lamp is turned off.
In the layout uniformity analysis platform using cloud computing, the platform further includes: the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is less than or equal to the preset brightness threshold, turning on the flash lamp and adjusting the flash brightness of the flash lamp according to the real-time environment brightness, wherein the lower the real-time environment brightness is, the higher the flash brightness of the flash lamp is.
In addition, the cpld (complex Programmable Logic device) complex Programmable Logic devices are developed from PAL and GAL devices, and are relatively large in scale and complex in structure, and belong to the field of large-scale integrated circuits. The digital integrated circuit is a digital integrated circuit which is used by a user to construct logic functions according to respective needs. The basic design method is to generate corresponding target files by means of an integrated development software platform and methods such as schematic diagrams, hardware description languages and the like, and to transmit codes to a target chip through a download cable (programming in the system) so as to realize the designed digital system.
CPLDs are mainly composed of programmable interconnected matrix cells surrounded by programmable logic Macro cells (MC, Macro cells). The MC structure is complex and has a complex I/O unit interconnection structure, and a user can generate a specific circuit structure according to the requirement to complete a certain function. Because the CPLD adopts metal wires with fixed length to interconnect each logic block, the designed logic circuit has time predictability, and the defect of incomplete time sequence prediction of a sectional type interconnection structure is avoided.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (9)
1. A layout uniformity resolution platform utilizing cloud computing, the platform comprising:
and the wireless transceiving equipment is used for sending the received unevenly distributed signals or the evenly distributed signals to the mobile terminal of the nearest worker through a wireless communication link.
2. The layout uniformity resolution platform utilizing cloud computing as claimed in claim 1, wherein said platform further comprises:
and the image sensing equipment is arranged above the flexible circuit board to be analyzed, is connected with the wireless transceiving equipment, and is used for executing photoelectric sensing action on the flexible circuit board so as to obtain a corresponding field sensing image.
3. The layout uniformity resolution platform utilizing cloud computing as claimed in claim 2, wherein said platform further comprises:
the data correction device is realized by a cloud computing node, is connected with the wireless transceiver device through a network, and is used for executing inclination correction processing on the received field sensing image so as to obtain a corresponding inclination correction image;
the sharpening processing device is realized by a cloud computing node, is connected with the wireless transceiving device through a network, and is used for executing sharpening processing operation based on a Prewitt operator on the received inclination correction image so as to obtain and output a corresponding sharpened processing image;
the signal identification device is connected with the sharpening processing device and used for receiving the sharpened processed image and matching each component image area where each component target is respectively located from the sharpened processed image based on the outline of each component;
the content segmentation device is connected with the signal identification device and is used for uniformly segmenting the received sharpening processing image into sub-images with the same size;
the distribution identification equipment is respectively connected with the signal identification merging equipment and the content segmentation equipment and is used for identifying the number of the components in each sub-image as the target number corresponding to the sub-image;
the uniformity extraction equipment is connected with the distribution identification equipment and used for receiving each target quantity corresponding to each sub-image, executing mean square error calculation on each target quantity and sending out a distribution non-uniformity signal when the obtained mean square error exceeds the limit;
and the uniformity extraction equipment is also used for sending a distribution uniformity signal when the obtained mean square error is not over-limit.
4. The layout uniformity analysis platform using cloud computing according to claim 3, wherein:
the signal identification device and the content segmentation device are respectively realized by adopting CPLD chips with different models, and are integrated on the same printed circuit board.
5. The layout uniformity resolution platform utilizing cloud computing as claimed in claim 4, wherein said platform further comprises:
and the temperature sensing equipment is respectively connected with the signal identification equipment and the content segmentation equipment and is used for respectively detecting the shell temperatures of the signal identification equipment and the content segmentation equipment.
6. The layout uniformity resolution platform utilizing cloud computing as claimed in claim 5, wherein said platform further comprises:
the flash lamp controller is positioned on one side of the image sensing equipment and is used for controlling the on-off of the flash lamp based on the real-time environment brightness;
wherein controlling the flash to turn on and off based on the real-time ambient brightness comprises: and when the real-time environment brightness is less than or equal to the preset brightness threshold value, the flash lamp is turned on.
7. The layout uniformity analysis platform using cloud computing according to claim 6, wherein:
the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is greater than the preset brightness threshold value, the flash lamp is turned off.
8. The layout uniformity analysis platform using cloud computing according to claim 7, wherein:
the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is less than or equal to the preset brightness threshold, turning on the flash lamp and adjusting the flash brightness of the flash lamp according to the real-time environment brightness, wherein the lower the real-time environment brightness is, the higher the flash brightness of the flash lamp is.
9. The layout uniformity resolution platform utilizing cloud computing as claimed in claim 8, wherein said platform further comprises:
the GPS positioning device is arranged at one side of the signal identification device and is used for providing the current GPS position of the signal identification device;
and the real-time display equipment is respectively connected with the signal identification equipment and the content segmentation equipment and is used for displaying various working parameters of the signal identification equipment and various working parameters of the content segmentation equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010141705.0A CN111583172A (en) | 2020-03-04 | 2020-03-04 | Layout uniformity analysis platform utilizing cloud computing |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010141705.0A CN111583172A (en) | 2020-03-04 | 2020-03-04 | Layout uniformity analysis platform utilizing cloud computing |
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| CN111583172A true CN111583172A (en) | 2020-08-25 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113052895A (en) * | 2020-11-20 | 2021-06-29 | 泰州市出彩网络科技有限公司 | Numerical value distribution judgment regulation and control platform and method |
| CN113688778A (en) * | 2021-09-05 | 2021-11-23 | 江阴市浩华新型复合材料有限公司 | Action triggering platform and method based on mean square error identification |
-
2020
- 2020-03-04 CN CN202010141705.0A patent/CN111583172A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113052895A (en) * | 2020-11-20 | 2021-06-29 | 泰州市出彩网络科技有限公司 | Numerical value distribution judgment regulation and control platform and method |
| CN113052895B (en) * | 2020-11-20 | 2021-11-30 | 南京水熊虫科技有限公司 | Numerical value distribution judgment regulation and control platform and method |
| CN113688778A (en) * | 2021-09-05 | 2021-11-23 | 江阴市浩华新型复合材料有限公司 | Action triggering platform and method based on mean square error identification |
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Address after: No.90, Hupan West Road, Science City, Tianfu New District, Shuangliu District, Chengdu, Sichuan 610213 Applicant after: Deng Guangbo Address before: No.17 Qianjiang Road, No.2 Industrial Park, Xuzhou high tech Industrial Development Zone, Xuzhou City, Jiangsu Province Applicant before: Deng Guangbo |
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