CN109471960A - The method and device of intelligent recognition PCB data tool layer name - Google Patents
The method and device of intelligent recognition PCB data tool layer name Download PDFInfo
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- CN109471960A CN109471960A CN201811345806.9A CN201811345806A CN109471960A CN 109471960 A CN109471960 A CN 109471960A CN 201811345806 A CN201811345806 A CN 201811345806A CN 109471960 A CN109471960 A CN 109471960A
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Abstract
The invention discloses a kind of method and devices of intelligent recognition PCB data tool layer name, wherein the method for intelligent recognition PCB data tool layer name includes: the PCB data packet to be identified for obtaining and uploading；The all elements that the original name of tool layers all in pcb board data packet is configured in the structure of arrays A, the structure of arrays A of perl are standard characters；All elements in structure of arrays A are matched with preset standard configuration file respectively, in successful match, the result typing transformation result of successful match is reported；The standard name of tool layer is corrected；Output display transformation result report is carried out in the form of editable interactive interface.Technical solution of the present invention can intelligent Matching implementation name, improve recognition efficiency and accuracy rate, the convenient management to PCB data tool layer.
Description
Technical field
The present invention relates to wiring board skill aided design techniques field more particularly to a kind of intelligent recognition PCB data tool layers
The method, apparatus and computer equipment and computer readable storage medium of name.
Background technique
In assist side, the PCB tool name that different clients provide has very big difference.Company has one to tool name
Set maturation, complete authority file, tool making personnel need to provide client the reference format that name is converted to company.It is existing
Have in technology, complete this work and mostly handled manually entirely by production person, or take system matches add the mode of manual inspection into
Row.
For the first using full production manually, heavy workload and efficiency is lower.
Specific customer data, the PCB data that this kind of client provides can only be also handled using system matches for second
The name of specific layer has certain regularity, and identity is very strong.The implementation name that conversion client provides often enters from client codes
Hand, the implementation name that same class client provides has the similitude of height, by observing, summarizing the client to the tool of different attribute
Nomenclature rule, write matching formula targetedly to be converted.Target string takes last sub- word after over-segmentation
The name of reference format can be obtained in symbol string.Such as certain client, definition rule is as follows: 1c, 2c, 3c, 4c ... are line layer, head and the tail
Digital representation is gtl/gbl, and sandwich digit is internal layer l2, l3 ... and so on；Sb and st layers is expressed as solder mask, and " T " is indicated
For the face TOP, " B " is expressed as the face BOT.
Above-mentioned conversion plan haves the shortcomings that two is big significant: 1, maintenance workload is big, needs independently to compile for every a kind of client
A set of matched is write, the matched for the newly-increased client that cannot timely update；2, matching way is single, the implementation name rule provided such as client
Rule has change, is easy error and efficiency is lower.3, each customer data is different, and the result of identification may be different, is unfavorable for client
The management of data.
In view of this, it is necessary to which the identification technology of current PCB data tool is further improved in proposition.
Summary of the invention
To solve an above-mentioned at least technical problem, the main object of the present invention is to provide a kind of intelligent recognition PCB data work
Has the method and device of layer name.
To achieve the above object, first technical solution that the present invention uses are as follows: a kind of intelligent recognition PCB data work is provided
Have the method for layer name, comprising:
Obtain the PCB data packet to be identified uploaded；
The original name of tool layers all in pcb board data packet is configured to the structure of arrays A of perl, the structure of arrays
All elements in A are standard characters；
All elements in structure of arrays A are matched with preset standard configuration file respectively, in successful match, general
It is reported with successful result typing transformation result；
The standard name of tool layer is corrected；
Output display transformation result report is carried out in the form of editable interactive interface.
Wherein, all elements by structure of arrays A are matched with preset standard configuration file respectively, further includes:
When it fails to match, by the element segments in structure of arrays A at several substrings；
The all elements that all substrings are configured in the structure of arrays B, the structure of arrays B of perl are standard
Character string；And
All elements in structure of arrays B are matched with preset systematic learning dictionary respectively, when the key of a certain element
When word is included, then the layer attribute of corresponding element and standard name in the corresponding tool layer of the keyword are obtained；And in layer category
Property and standard name it is unique when, will include successful result typing transformation result report, layer attribute and standard name it is not unique when,
Taking standard to name corresponding data maximum is standard value, and result typing transformation result is reported.
Wherein, described when it fails to match, by the element segments in structure of arrays A at several substrings, specifically include:
When it fails to match, the element in structure of arrays A is divided into several substrings in the form of connector.
It is wherein, described that output display transformation result report is carried out in the form of editable interactive interface, further includes:
Obtain the keyword of manual modification in transformation result report；
By keyword record into systematic learning dictionary；And
Systematic learning dictionary is updated.
It is wherein, described to obtain the layer attribute of corresponding element and standard name in the corresponding tool layer of the keyword, further includes:
When the layer attribute of corresponding element and standard name are more than 3 in the corresponding tool layer of keyword, which is sentenced
Break as junk data, and removes the keyword.
To achieve the above object, second technical solution that the present invention uses are as follows: a kind of intelligent recognition PCB data work is provided
Have the device of layer name, comprising:
Module is obtained, for obtaining the PCB data packet to be identified uploaded；
Preprocessing module, for the original name of tool layers all in pcb board data packet to be configured to the array knot of perl
All elements in structure A, the structure of arrays A are standard characters；
Matching module, for all elements in structure of arrays A to be matched with preset standard configuration file respectively,
When with success, the result typing transformation result of successful match is reported；
Correction module is corrected for the standard name to tool layer；
Output module, for carrying out output display transformation result report in the form of editable interactive interface.
Wherein, the matching module includes cutting unit, construction unit and processing unit；
The cutting unit is used for when it fails to match, by the element segments in structure of arrays A at several substrings；
The construction unit, for being configured to all substrings in the structure of arrays B, the structure of arrays B of perl
All elements be standard characters；And
The processing unit, for all elements in structure of arrays B to be matched with preset systematic learning dictionary respectively,
When the keyword of a certain element is included, then the layer attribute and standard of corresponding element in the corresponding tool layer of the keyword are obtained
Name；And in layer attribute and unique standard name, the report of successful result typing transformation result will be included, in layer attribute and mark
When quasi- name is not unique, taking standard to name corresponding data maximum is standard value, and result typing transformation result is reported.
Wherein, the cutting unit, is specifically used for:
When it fails to match, the element in structure of arrays A is divided into several substrings in the form of connector.
Wherein, further include acquiring unit, be used for:
Obtain the keyword of manual modification in transformation result report；
By keyword record into systematic learning dictionary；And
Systematic learning dictionary is updated.
Wherein, further include keyword cleaning modul, be used for:
When the layer attribute of corresponding element and standard name are more than 3 in the corresponding tool layer of keyword, which is sentenced
Break as junk data, and removes the keyword.
To achieve the above object, the third technical solution that the present invention uses are as follows: a kind of computer equipment is provided, including is deposited
Reservoir, processor and storage on a memory and the computer program that can run on a processor, described in the processor execution
The step of above method is realized when computer program.
To achieve the above object, the 4th technical solution that the present invention uses are as follows: a kind of computer-readable storage medium is provided
The step of matter is stored thereon with computer program, and the above method is realized when the computer program is executed by processor.
Technical solution of the present invention mainly passes through the PCB data packet to be identified for first obtaining upload, then by pcb board data
The original name of all tool layers is configured to the structure of arrays A of perl in packet, and all elements in structure of arrays A are distinguished
It matches with preset standard configuration file, in successful match, the result typing transformation result of successful match is reported, it is then right
The standard name of tool layer is corrected, and output display transformation result report is finally carried out in the form of editable interactive interface,
In this way, the intelligent recognition to PCB data tool layer may be implemented, the recognition efficiency and accuracy rate of tool layer can be improved, it is convenient
Management to PCB data tool layer.
Detailed description of the invention
Fig. 1 is the method flow diagram of one embodiment of method of intelligent recognition PCB data tool layer name of the present invention；
Fig. 2 is the flow chart of step S30 in Fig. 1；
Fig. 3 is the block diagram of one embodiment of device of intelligent recognition PCB data tool layer name of the present invention；
Fig. 4 is the block diagram of matching module of the present invention；
Fig. 5 is the internal structure chart of one embodiment of the invention computer equipment.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
His embodiment, shall fall within the protection scope of the present invention.
It is to be appreciated that the description of " first ", " second " involved in the present invention etc. is used for description purposes only, and should not be understood as
Its relative importance of indication or suggestion or the quantity for implicitly indicating indicated technical characteristic.Define as a result, " first ",
The feature of " second " can explicitly or implicitly include at least one of the features.In addition, the technical side between each embodiment
Case can be combined with each other, but must be based on can be realized by those of ordinary skill in the art, when the combination of technical solution
Conflicting or cannot achieve when occur will be understood that the combination of this technical solution is not present, also not the present invention claims guarantor
Within the scope of shield.
For the more convenient understanding to this programme, layer attribute, keyword and key-value pair are explained below, specifically such as
Under:
1, layer attribute: each tool layer has attribute, is subdivided into steel mesh sold_paste, character silk_screen, resistance
Weld sold_mask, route signal；
2, keyword: a character string of system identification is used in original name, such as: keyword to be in stt0744e.art
sst；
3, key-value pair: key-value pair is common a kind of data type in software development, Key Value (key-value pair), can be with
It is stored in Key Value, Value just can be inquired by Key.
Fig. 1 is please referred to, Fig. 1 is the method flow of one embodiment of method of intelligent recognition PCB data tool layer name of the present invention
Figure.In embodiments of the present invention, the method for intelligent recognition PCB data tool layer name, comprising:
Step S10, the PCB data packet to be identified uploaded is obtained；
Step S20, the original name of tool layers all in pcb board data packet is configured to the structure of arrays A of perl, it is described
All elements in structure of arrays A are standard characters；
Step S30, all elements in structure of arrays A are matched with preset standard configuration file respectively, matching at
When function, the result typing transformation result of successful match is reported；
Step S40, the standard name of tool layer is corrected；
Step S50, output display transformation result report is carried out in the form of editable interactive interface.
In the embodiment of the present invention, the method for intelligent recognition PCB data tool layer name is capable of handling program intelligently to know
Not, system needs to preset matches criteria file, systematic learning dictionary and rubbish dictionary before recognition.The structure of arrays
Element in A can be with the keyword match of matches criteria file, element in structure of arrays A, the member in structure of arrays B
Element can be with the keyword match of systematic learning dictionary, which can include, to be constantly updated in systematic learning dictionary,
It is generated during accumulation, for clearing up not applicable keyword.Preset each matches criteria file, systematic learning dictionary with
And after rubbish dictionary, the PCB data packet to be identified of available upload includes multiple works to be identified in PCB data packet
Has layer.Using processing routine read matches criteria file, by all elements in structure of arrays A respectively with matches criteria file
Keywords matching reports the result typing transformation result of successful match in successful match, then orders the standard of tool layer
Name is corrected.Above-mentioned matching way can only be converted from the angle of individual tool name, it is also necessary to enterprising in general levels
Row analysis correction.Correction principle is to name ectonexine to comb, and is allowed to meet conventional naming rule.Finally with editable interaction
The form at interface exports, and facilitates the recognition result of producer's check system, to there are the name manual modifications of error.
Wherein, above-mentioned matches criteria file is using original name as matching object, by the extremely strong original name of regularity
Arranged and include in the form of regular expression (such as mask_top.pho, the form of regular expression is /mask [_ |-
|] top/), data structure be key-value pair (Key herein corresponds to the regular expression form of original name, Value pairs
Answer standard name and layer attribute), corresponding, unique standard name and layer category can be derived that according to the original name being matched to
Property.Above-mentioned systematic learning dictionary is the setting that this system embodies its intelligence, when client mentions using keyword as matching object
The original tool name of confession can not matching criteria matching text, illustrate the implementation name be system for the first time contact, need the person of production manual
The name of typing standard, layer attribute, subsequent program parse implementation name, obtain keyword, together with standard name and layer combinations of attributes
For the identical data structure of matches criteria file, when the implementation name occurs again, program is by the number of cumulative appearance, the data
It is to discriminate between a keyword and corresponds to index in the case of the name of multiple standards.Above-mentioned processing routine can read matches criteria text
Part, clearing system learn dictionary and rubbish dictionary, execute conversion logic and export transformation result report.
The present invention mainly passes through the PCB data packet to be identified for first obtaining upload, then by works all in pcb board data packet
The original name of tool layer is configured to the structure of arrays A of perl, and by all elements in structure of arrays A respectively with preset mark
Quasi- configuration file matching is reported the result typing transformation result of successful match, in successful match then to the mark of tool layer
Quasi- name is corrected, and output display transformation result report is finally carried out in the form of editable interactive interface, in this way, can be real
Now to the intelligent recognition of PCB data tool layer, the recognition efficiency and accuracy rate of tool layer can be improved, it is convenient to PCB data work
Has the management of layer.
Referring to figure 2., Fig. 2 is the flow chart of step S30 in Fig. 1.In a specific embodiment, described by structure of arrays
All elements in A are matched with preset standard configuration file respectively, further includes:
Step S31, when it fails to match, by the element segments in structure of arrays A at several substrings；
Step S32, all elements being configured to all substrings in the structure of arrays B, the structure of arrays B of perl
It is standard characters；And
Step S33, all elements in structure of arrays B are matched with preset systematic learning dictionary respectively, when certain unitary
When the keyword of element is included, then the layer attribute of corresponding element and standard name in the corresponding tool layer of the keyword are obtained；With
And in layer attribute and unique standard name, the report of successful result typing transformation result will be included, is named in layer attribute and standard
When not unique, taking standard to name corresponding data maximum is standard value, and result typing transformation result is reported.
In the present embodiment, when it fails to match, by the element in structure of arrays A with connector '-', ' _ ', ' ' form
Segmentation, forms several substrings.If Ai be mask_top.pho, then Ai segmentation after formed substring be mask,
top,pho.Wherein, Ai is the element in A.All substrings are then configured to the structure of arrays B of perl.Recycle array knot
Structure B all elements Bj, judges whether keyword Bj is included into systematic learning dictionary, is such as included, and obtains layer corresponding to Bj
All standard lives corresponding to certain elements A i in original tool layer can be obtained after B completes circulation in attribute and name quantity
Name and layer attribute report result typing into transformation result if standard name, attribute are unique.Not such as standard name or layer attribute
Uniquely, taking standard to name corresponding data maximum is standard value, and result typing is reported into transformation result.
It is described that output display transformation result report is carried out in the form of editable interactive interface in a specific embodiment
It accuses, further includes:
Obtain the keyword of manual modification in transformation result report；
By keyword record into systematic learning dictionary；And
Systematic learning dictionary is updated.In the present embodiment, producer can be on editable interactive interface manually
Transformation result report is modified, to improve the accuracy rate of identification to there are the names of error to carry out manual modification.
In a specific embodiment, it is described obtain in the corresponding tool layer of the keyword layer attribute of corresponding element and
Standard name, further includes:
When the layer attribute of corresponding element and standard name are more than 3 in the corresponding tool layer of keyword, which is sentenced
Break as junk data, and removes the keyword.Then will in quantity whether more than 3 in crucial corresponding layer attribute and name
The keyword is judged as junk data, and the keyword can be removed by rubbish dictionary.
Referring to figure 3., Fig. 3 is the module box of one embodiment of device of intelligent recognition PCB data tool layer name of the present invention
Figure.In the embodiment of the present invention, the device of intelligent recognition PCB data tool layer name, comprising:
Module 10 is obtained, for obtaining the PCB data packet to be identified uploaded；
Preprocessing module 20, for the original name of tool layers all in pcb board data packet to be configured to the array of perl
All elements in structure A, the structure of arrays A are standard characters；
Matching module 30, for all elements in structure of arrays A to be matched with preset standard configuration file respectively,
When successful match, the result typing transformation result of successful match is reported；
Correction module 40 is corrected for the standard name to tool layer；
Output module 50, for carrying out output display transformation result report in the form of editable interactive interface.
In the embodiment of the present invention, the device of intelligent recognition PCB data tool layer name is capable of handling program intelligently to know
Not, the device needs to preset matches criteria file, systematic learning dictionary and rubbish dictionary before recognition.The array knot
Element in structure A can be with the keyword match of matches criteria file, element in structure of arrays A, in structure of arrays B
Element can be with the keyword match of systematic learning dictionary, which can include, with systematic learning dictionary constantly more
Newly, it is generated during accumulating, for clearing up not applicable keyword.Presetting each matches criteria file, systematic learning word
Behind library and rubbish dictionary, by obtaining module 10, the PCB data packet to be identified of upload is obtained, includes in PCB data packet
Multiple tool layers to be identified, can be by the original name structure of tool layers all in pcb board data packet by preprocessing module 20
Build the structure of arrays A for perl.Matches criteria file is read using processing routine and passes through matching module 30, by structure of arrays A
In all elements Keywords matching with matches criteria file respectively, in successful match, by the result typing of successful match
Then transformation result report is corrected the standard name of tool layer by correction module 40.Above-mentioned matching way can only be from
The angle of individual tool name is converted, it is also necessary to carry out analysis correction on general levels.Correction principle is to ectonexine
Name combing, is allowed to meet conventional naming rule.It is exported in the form of editable interactive interface finally by output module 50,
Facilitate the recognition result of producer's check system, to there are the name manual modifications of error.
Referring to figure 4., Fig. 4 is the block diagram of matching module 30 of the present invention.It is described in a specific embodiment
Matching module 30 includes cutting unit, construction unit and processing unit；
The cutting unit 31 is used for when it fails to match, by the element segments in structure of arrays A at several sub- characters
String；
The construction unit 32, for all substrings to be configured to the structure of arrays B, the structure of arrays B of perl
In all elements be standard characters；And
The processing unit 33, for by all elements in structure of arrays B respectively with preset systematic learning dictionary
Match, when the keyword of a certain element is included, then obtain in the corresponding tool layer of the keyword layer attribute of corresponding element and
Standard name；And in layer attribute and unique standard name, the report of successful result typing transformation result will be included, in layer attribute
And standard name it is not unique when, take standard to name corresponding data maximum for standard value, and by result typing transformation result report
It accuses.
In the present embodiment, when it fails to match, cutting unit 31 divides the element in structure of arrays A in the form of connector
It is cut into several substrings.Specifically, cutting unit 31 is by the element in structure of arrays A with connector when it fails to match
The form segmentation of '-', ' _ ', ' ', forms several substrings.If Ai is mask_top.pho, then formed after Ai segmentation
Substring is mask, top, pho.Wherein, Ai is the element in A.Then pass through construction unit 32 for all substring structures
Build the structure of arrays B for perl.Structure of arrays B all elements Bj is recycled, and 33 whether judges keyword Bj through the processing unit
It is included into systematic learning dictionary, is such as included, obtain layer attribute corresponding to Bj and name quantity, after B completes circulation, i.e.,
All standard names and layer attribute corresponding to certain elements A i in original tool layer can be obtained, if standard name, attribute are unique,
Result typing is reported into transformation result.If standard name or layer attribute be not unique, standard is taken to name corresponding data maximum
For standard value, result typing is reported into transformation result.
In a specific embodiment, further includes acquiring unit, is used for:
Obtain the keyword of manual modification in transformation result report；
By keyword record into systematic learning dictionary；And
Systematic learning dictionary is updated.
In the present embodiment, it can be repaired manually on editable interactive interface by obtaining the available producer of module 10
The keyword changed, to improve the accuracy rate of identification to there are the names of error to carry out manual modification.
In a specific embodiment, further includes keyword cleaning modul, is used for:
When the layer attribute of corresponding element and standard name are more than 3 in the corresponding tool layer of keyword, which is sentenced
Break as junk data, and removes the keyword.
In the present embodiment, which can be in quantity in crucial corresponding layer attribute and name
It is no more than 3, then the keyword is judged as junk data, and the keyword can be removed by rubbish dictionary.
Referring to figure 5., Fig. 5 is the internal structure chart of one embodiment of the invention computer equipment.In one embodiment, the meter
Calculating machine equipment includes processor, memory and the network interface connected by system bus.Wherein, the processing of the computer equipment
Device is for providing calculating and control ability.The memory of the computer equipment includes non-volatile memory medium, built-in storage.It should
Non-volatile memory medium is stored with operating system, computer program and database.The built-in storage is non-volatile memories Jie
The operation of operating system and computer program in matter provides environment.The network interface of the computer equipment is used for and external end
End passes through network connection communication.To realize a kind of intelligent recognition PCB data tool layer when the computer program is executed by processor
The method of name.
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor are realized when executing computer program in above each embodiment of the method
The step of.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
The step in above each embodiment of the method is realized when machine program is executed by processor.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in scope of patent protection of the invention.
Claims (10)
1. a kind of method of intelligent recognition PCB data tool layer name, which is characterized in that the intelligent recognition PCB data tool layer
Name method include:
Obtain the PCB data packet to be identified uploaded；
The original name of tool layers all in pcb board data packet is configured in the structure of arrays A, the structure of arrays A of perl
All elements be standard characters；
All elements in structure of arrays A are matched with preset standard configuration file respectively, in successful match, will matching at
The result typing transformation result of function is reported；
The standard name of tool layer is corrected；
Output display transformation result report is carried out in the form of editable interactive interface.
2. the method for intelligent recognition PCB data tool layer name as described in claim 1, which is characterized in that described by array knot
All elements in structure A are matched with preset standard configuration file respectively, further includes:
When it fails to match, by the element segments in structure of arrays A at several substrings；
The all elements that all substrings are configured in the structure of arrays B, the structure of arrays B of perl are standard character
String；And
All elements in structure of arrays B are matched with preset systematic learning dictionary respectively, when the keyword quilt of a certain element
When including, then the layer attribute of corresponding element and standard name in the corresponding tool layer of the keyword are obtained；And in layer attribute and
When standard name is unique, the report of successful result typing transformation result will be included and take mark in layer attribute and not unique standard name
It is standard value that standard, which names corresponding data maximum, and result typing transformation result is reported.
3. the method for intelligent recognition PCB data tool layer name as claimed in claim 2, which is characterized in that described to be lost in matching
When losing, by the element segments in structure of arrays A at several substrings, specifically include:
When it fails to match, the element in structure of arrays A is divided into several substrings in the form of connector.
4. the method for intelligent recognition PCB data tool layer name as claimed in claim 3, which is characterized in that described with editable
The form of interactive interface carries out output display transformation result report, further includes:
Obtain the keyword of manual modification in transformation result report；
By keyword record into systematic learning dictionary；And
Systematic learning dictionary is updated.
5. the method for intelligent recognition PCB data tool layer name as claimed in claim 4, which is characterized in that described acquisition pass
The layer attribute of corresponding element and standard name in the corresponding tool layer of key word, further includes:
When the layer attribute of corresponding element and standard name are more than 3 in the corresponding tool layer of keyword, which is judged as
Junk data, and remove the keyword.
6. a kind of device of intelligent recognition PCB data tool layer name, which is characterized in that the intelligent recognition PCB data tool layer
Name device include:
Module is obtained, for obtaining the PCB data packet to be identified uploaded；
Preprocessing module, for the original name of tool layers all in pcb board data packet to be configured to the structure of arrays A of perl,
All elements in the structure of arrays A are standard characters；
Matching module, for all elements in structure of arrays A to be matched with preset standard configuration file respectively, matching at
When function, the result typing transformation result of successful match is reported；
Correction module is corrected for the standard name to tool layer；
Output module, for carrying out output display transformation result report in the form of editable interactive interface.
7. the device of intelligent recognition PCB data tool layer name as claimed in claim 6, which is characterized in that the matching module
Including cutting unit, construction unit and processing unit；
The cutting unit is used for when it fails to match, by the element segments in structure of arrays A at several substrings；
The construction unit, the institute for being configured to all substrings in the structure of arrays B, the structure of arrays B of perl
Having element is standard characters；And
The processing unit, for matching all elements in structure of arrays B with preset systematic learning dictionary respectively, when certain
When the keyword of one element is included, then the layer attribute of corresponding element and standard life in the corresponding tool layer of the keyword are obtained
Name；And in layer attribute and unique standard name, the report of successful result typing transformation result will be included, in layer attribute and standard
When naming not unique, taking standard to name corresponding data maximum is standard value, and result typing transformation result is reported.
8. the device of intelligent recognition PCB data tool layer name as claimed in claim 7, which is characterized in that the cutting unit,
It is specifically used for:
When it fails to match, the element in structure of arrays A is divided into several substrings in the form of connector.
9. the device of intelligent recognition PCB data tool layer name as claimed in claim 8, which is characterized in that further include obtaining list
Member is used for:
Obtain the keyword of manual modification in transformation result report；
By keyword record into systematic learning dictionary；And
Systematic learning dictionary is updated.
10. the device of intelligent recognition PCB data tool layer name as claimed in claim 9, which is characterized in that further include keyword
Cleaning modul is used for:
When the layer attribute of corresponding element and standard name are more than 3 in the corresponding tool layer of keyword, which is judged as
Junk data, and remove the keyword.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811345806.9A CN109471960B (en) | 2018-11-13 | 2018-11-13 | Method and device for intelligently identifying tool layer names of PCB (printed circuit board) data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811345806.9A CN109471960B (en) | 2018-11-13 | 2018-11-13 | Method and device for intelligently identifying tool layer names of PCB (printed circuit board) data |
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| Publication Number | Publication Date |
|---|---|
| CN109471960A true CN109471960A (en) | 2019-03-15 |
| CN109471960B CN109471960B (en) | 2020-10-13 |
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| CN201811345806.9A Active CN109471960B (en) | 2018-11-13 | 2018-11-13 | Method and device for intelligently identifying tool layer names of PCB (printed circuit board) data |
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Cited By (1)
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| CN112668667A (en) * | 2021-01-22 | 2021-04-16 | 上海华虹宏力半导体制造有限公司 | Method for scanning layout file |
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| CN112668667A (en) * | 2021-01-22 | 2021-04-16 | 上海华虹宏力半导体制造有限公司 | Method for scanning layout file |
| CN112668667B (en) * | 2021-01-22 | 2024-05-14 | 上海华虹宏力半导体制造有限公司 | Layout file scanning method |
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| CN109471960B (en) | 2020-10-13 |
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