CN110378302A - A kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents - Google Patents
A kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents Download PDFInfo
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- CN110378302A CN110378302A CN201910673669.XA CN201910673669A CN110378302A CN 110378302 A CN110378302 A CN 110378302A CN 201910673669 A CN201910673669 A CN 201910673669A CN 110378302 A CN110378302 A CN 110378302A
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- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G06V30/42—Document-oriented image-based pattern recognition based on the type of document
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Abstract
The present invention provides a kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents, including main processor unit, electric installation drawing feature identification unit, signal auditing rule decision unit；The customer engineering drawing intelligent identifying system based on PDF format Drawings and documents is mainly used for carrying out intelligent recognition to the PDF engineering drawing of client, realizes the automatic design identified in engineering drawing content lack of standardization or unreasonable；The present invention uses deep learning related algorithm, establishes relatively stable and mature algorithm model, artificial intelligence is combined with engineering design field, to achieve the purpose that improve production efficiency, save manual identified engineering drawing cost.
Description
Technical field
Intelligent identifying system technical field of the present invention more particularly to a kind of customer engineering based on PDF format Drawings and documents
Drawing intelligent identifying system.
Background technique
In the industrial production, it when carrying out product design for mechanical or electric product, needs soft using relevant design
Part is designed, such as CAD software of machinery field etc..After product design is completed, generally require to be converted into PDF format
Drawings and documents are for the standard as production.But there may be many devices during actual product design to use
Unreasonable, element is lack of standardization using position, the relevant issues such as electrical characteristic is unreasonable, if using going to reflect by the way of manually checking
Not She Ji in unreasonable problem, often expend a large amount of human cost.
Summary of the invention
In view of most of product design can all have structure identical with historical standard product or component units.In order to
Above-mentioned disadvantage and deficiency are solved, the present invention provides a kind of, and the customer engineering drawing based on PDF format Drawings and documents is intelligently known
Other system, normalization and reasonability for automatic identification customer engineering drawing.
In order to solve the above technical problems, the invention provides the following technical scheme:
A kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents, including main processor unit, electricity
Gas drawing feature identification unit, signal auditing rule decision unit；
The main processor unit connects with the electric installation drawing feature identification unit, signal auditing rule decision unit respectively
It connects.
Further, the main processor unit include object storage module, silhouette contrast module, convolutional calculation module and
Classification output module；
The object storage module is used to store the feature of the PDF format Drawings and documents of standard；
The silhouette contrast module is used for the PDF format Drawings and documents of PDF format Drawings and documents to be identified and standard
It is compared；
The convolutional calculation module is used to carry out complicated convolutional calculation；
The classification results that the classification output module is used for after the processing of object contrast module are exported.
Further, the electric installation drawing feature identification unit is used to extract the feature in PDF format Drawings and documents.
Further, the signal auditing rule decision unit be used for by main processor unit classification results and audit
Rule combines, and makes a policy.
Further, the signal auditing decision package includes decision-making module and display module.
The present invention have following advantages and the utility model has the advantages that
1) the customer engineering drawing intelligent recognition of the present invention based on PDF format Drawings and documents is able to achieve automatic identification
Unreasonable design in PDF format drawing, improves the efficiency of safety in production, saves the cost of artificial screening design drawing.；
2) the customer engineering drawing intelligent identifying system module of the present invention based on PDF format Drawings and documents divides bright
It shows, perfect in shape and function, scalability is strong；
3) present invention can carry out intelligent recognition for different types of PDF drawing, can extend to other and PDF drawing
It identifies in relevant application.；
4) the customer engineering drawing intelligent identifying system of the present invention based on PDF format Drawings and documents uses deep learning
Related algorithm can establish relatively stable identification model.
Detailed description of the invention
Fig. 1 is that the structure of the customer engineering drawing intelligent identifying system of the present invention based on PDF format Drawings and documents is shown
It is intended to；
Fig. 2 is that information is examined in the customer engineering drawing intelligent identifying system of the present invention based on PDF format Drawings and documents
Core rule decision cellular construction schematic diagram；
In figure: 1 main processor unit, 11 object storage modules, 12 silhouette contrast modules, 13 convolutional calculation modules, 14 points
Class output module, 2 electric installation drawing feature identification units, 3 signal auditing decision packages, 31 decision-making modules, 32 display modules.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
It mutually combines, the application is described in further detail in the following with reference to the drawings and specific embodiments.It should be appreciated that described implement
Example is only a part of the embodiment of the present invention, instead of all the embodiments.According to the present embodiment, related technical personnel are not having
Obtained other embodiments under the premise of creative work are made, the scope of the present invention is belonged to.
As shown in Figure 1 and Figure 2, the present invention provides a kind of customer engineering drawing intelligent recognition based on PDF format Drawings and documents
System, comprising:
Main processor unit 1, electric installation drawing feature extraction unit 2, signal auditing rule decision unit 3, the main process task
Device unit 1 includes object storage module 11, silhouette contrast module 12, convolutional calculation module 13 and classification output module 14.
The electric installation drawing feature extraction unit 2 be mainly used for extract electric installation drawing feature, and with main processor unit 1
It is connected.The signal auditing rule decision unit 3 includes decision-making module 31 and display module 32, and is connected with primary processor
It connects.
The object storage module (11) is used to store the feature of the PDF format Drawings and documents of standard；The silhouette contrast
PDF format Drawings and documents to be identified for being compared by module (12) with the PDF format Drawings and documents of standard；The convolution
Computing module (13) is used to carry out complicated convolutional calculation；The classification output module (14) is used for by object contrast module
Classification results after reason are exported.
Further, the electric installation drawing feature identification unit (2) is used to extract the feature in PDF format Drawings and documents.
The signal auditing rule decision unit (3) is used to combine the classification results in main processor unit with auditing rule, and
Make last decision.
Wherein, the signal auditing decision package (3) includes decision-making module (31) and display module (32).
The electric installation drawing feature extraction unit (2) is used to obtain the image data of PDF drawing, and described image data are turned
Drawing feature is turned to, and standard PDF drawing feature and PDF drawing to be identified are inputted into main processor unit respectively.
The Main Processor Unit (1) is used for by standard PDF drawing characteristic storage in object storage module (11), the wheel
Wide contrast module (12) is used to distinguish the standard PDF drawing and electric installation drawing feature extraction list in reading object memory module (11)
PDF drawing feature to be identified in first (2) simultaneously compares；The classification output module (14) is used for silhouette contrast module
(12) comparing result of centering is classified, and classification results are inputted signal auditing decision package (3).
Further, the silhouette contrast module (12) in the main processor unit (1) needs the side using deep learning
Method establishes contrast model.
Further, the classification output module (14) in the main processor unit (1) needs to establish stable classification mould
Type.
Convolutional calculation module (13) in the main processor unit (1) is respectively that silhouette contrast module (12) and classification are defeated
Module (14) provides convolutional calculation out.
Decision-making module (31) in the signal auditing decision package (3) carries out classification results and signal auditing rule
Match, obtains the last result of decision, and show the result of decision by display module (32).
In customer engineering drawing intelligent identifying system provided by the invention based on PDF format Drawings and documents, working principle
It is specific as follows:
When in use, electric installation drawing feature extraction unit 2 is for extracting the feature of PDF line drawing first, as main place
The input for managing device unit 1, by the object storage module in Main Processor Unit 1 to standard PDF drawing characteristic storage；When read to
It when the PDF drawing of identification, is compared in silhouette contrast module 12 with standard PDF drawing feature, passes through output module of classifying
14 obtain the classification results of PDF drawing.
Wherein silhouette contrast module 12 establishes contrast model using convolutional neural networks, and classification output module 14, which is then established, to be divided
Class model, convolutional calculation module 13 are respectively that silhouette contrast module 12 and classification output module 14 provide convolutional calculation.
The classification results and signal auditing rule that signal auditing decision package 3 is then exported according to main processor unit 1 obtain
Final decision result is simultaneously displayed on screen, to achieve the purpose that the intelligent recognition to client's PDF format engineering drawing.
Those skilled in the art can make various modifications to described specific embodiment
Or supplement or substituted using similar method, however, it does not deviate from the spirit of the invention or surmounts the appended claims determines
The range of justice.
Claims (5)
1. a kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents, which is characterized in that including main process task
Device unit (1), electric installation drawing feature identification unit (2), signal auditing rule decision unit (3)；
The main processor unit (1) respectively with the electric installation drawing feature identification unit (2), signal auditing rule decision unit
(3) it connects.
2. the customer engineering drawing intelligent identifying system according to claim 1 based on PDF format Drawings and documents, feature
It is, the main processor unit (1) includes object storage module (11), silhouette contrast module (12), convolutional calculation module
(13) and classify output module (14)；
The object storage module (11) is used to store the feature of the PDF format Drawings and documents of standard；
The silhouette contrast module (12) is used for the PDF format Drawings and documents of PDF format Drawings and documents to be identified and standard
It is compared；
The convolutional calculation module (13) is used to carry out complicated convolutional calculation；
The classification results that classification output module (14) is used for after the processing of object contrast module are exported.
3. the customer engineering drawing intelligent identifying system according to claim 1 based on PDF format Drawings and documents, feature
It is, the electric installation drawing feature identification unit (2) is used to extract the feature in PDF format Drawings and documents.
4. the customer engineering drawing intelligent identifying system according to claim 1 based on PDF format Drawings and documents, feature
It is, the signal auditing rule decision unit (3) is for mutually tying the classification results in main processor unit with auditing rule
It closes, and makes a policy.
5. the customer engineering drawing intelligent identifying system according to claim 1 based on PDF format Drawings and documents, feature
It is, the signal auditing decision package (3) includes decision-making module (31) and display module (32).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910673669.XA CN110378302A (en) | 2019-07-24 | 2019-07-24 | A kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents |
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| CN201910673669.XA CN110378302A (en) | 2019-07-24 | 2019-07-24 | A kind of customer engineering drawing intelligent identifying system based on PDF format Drawings and documents |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112183029A (en) * | 2020-09-25 | 2021-01-05 | 四川巧夺天工信息安全智能设备有限公司 | Digital conversion method for PDF drawing in sheet metal industry |
| CN115997215A (en) * | 2020-09-01 | 2023-04-21 | 三菱电机楼宇解决方案株式会社 | Electrical pattern management device, electrical pattern management system, and electrical pattern management method |
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Application publication date: 20191025 |