CN108614928A - The artificial intelligence generation method and device of figure in digital aircraft simulation report - Google Patents
The artificial intelligence generation method and device of figure in digital aircraft simulation report Download PDFInfo
- Publication number
- CN108614928A CN108614928A CN201810339579.2A CN201810339579A CN108614928A CN 108614928 A CN108614928 A CN 108614928A CN 201810339579 A CN201810339579 A CN 201810339579A CN 108614928 A CN108614928 A CN 108614928A
- Authority
- CN
- China
- Prior art keywords
- attribute information
- simulation report
- digital aircraft
- aircraft simulation
- library
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Abstract
The invention discloses the artificial intelligence generation methods and device of figure in a kind of digital aircraft simulation report, wherein the method includes：Knowledge base is established, the common template of figure and the attribute information of corresponding figure in digital aircraft simulation report are included wherein in knowledge base；Method for building up library is wherein stored with the corresponding selection rule of attribute information of common figure in method base；Knowledge based library and method base according to the attribute information of research contents and pending data determination insertion figure in digital aircraft simulation report, and are stored in database；The attribute information for being inserted into figure is read from database, and figure is generated based on the attribute information for being inserted into figure.The artificial intelligence generation method of figure in digital aircraft simulation report provided by the invention, realize automatically generating for figure in simulation report, the trouble for solving insertion and the design of figure during traditional manual reports digital aerial vehicle simulation writes work for digital aircraft simulation report and saves the plenty of time.
Description
Technical field
The present invention relates to digital aircraft technical field, in more particularly to a kind of digital aircraft simulation report
The artificial intelligence generation method and device of figure.
Background technology
With the continuous development of science and technology and artificial intelligence, physical type work is substantially substituted by machine.Have benefited from
Computer technology, machine learning and natural user interface and automatic technology development, partial knowledge type work in the future also may be used
To be completed by machine.
But still to rely on the knowledge work of people in complicated analysis, accurate judgement and Innovation Decision etc..In number
The work in word aircraft field, the picture that digital aircraft simulation report is write still needs to be accomplished manually, and the degree of automation is low,
It wastes time.
Therefore, how to provide a kind of drafting method of high degree of automation is asking for those skilled in the art's urgent need to resolve
Topic.
Invention content
In view of this, the present invention provides the artificial intelligence generation methods and dress of figure in a kind of digital aircraft simulation report
It sets, realizes automatically generating for figure in simulation report, solve the insertion of figure during traditional manual reports digital aerial vehicle simulation
With the trouble of design, writes work for digital aircraft simulation report and save the plenty of time.
To achieve the goals above, the present invention adopts the following technical scheme that：
The artificial intelligence generation method of figure in a kind of digital aircraft simulation report, including：
Knowledge base is established, wherein comprising the template of common figure in digital aircraft simulation report and right in the knowledge base
The attribute information for the figure answered；
Method for building up library is wherein stored with the corresponding selection rule of attribute information of common figure in the method library；
The research contents according to digital aircraft simulation report and pending number based on the knowledge base and the method library
It is inserted into the attribute information of figure according to determining, and is stored in database；
The attribute information of the insertion figure is read from the database, and is generated based on the attribute information for being inserted into figure
Figure.
Preferably, the attribute information that the insertion figure is read from database, and believed based on the insertion figure attribute
Breath generation figure specific steps include：
Read the attribute information of the insertion figure stored in the database；
Corresponding configuration file is generated according to the attribute information for being inserted into figure；
Corresponding execution file is generated based on the configuration file；
The execution file is run, corresponding figure is generated.
Preferably, the attribute information includes but not limited to：The characteristics of classification of figure, figure, figure height sum width, figure
Title, abscissa title, ordinate title, abscissa initial data, ordinate initial data, lines title, line color,
Lines are linear, background color and font size.
Preferably, the knowledge base of establishing includes：Knowledge base is established using Prolog methods.
Preferably, the method for building up library includes：Utilize Prolog method method for building up library.
The artificial intelligence generating means of figure in a kind of digital aircraft simulation report, including：
First establishes base module, for establishing knowledge base, wherein being emulated comprising digital aircraft in the knowledge base
The attribute information of the template of common figure and corresponding figure in report；
Second method for building up library module is used for method for building up library, the category of common figure is wherein stored in the method library
Property information corresponding selection rule；
Database writes module, is used for based on the knowledge base and the method library according to digital aircraft simulation report
Research contents and pending data determine the attribute information for being inserted into figure, and are stored in database；
Image generating module, the attribute information for reading the insertion figure from the database, and inserted based on described
Enter the attribute information generation figure of figure.
Preferably, the generation module includes：
Database reading unit, the attribute information for reading the insertion figure stored in the database；
Configuration file generation unit, for generating corresponding configuration file according to the attribute information for being inserted into figure；
File generating unit is executed, file is executed accordingly for being generated based on the configuration file；
Picture generation unit for running the execution file, and generates corresponding figure.
Preferably, the attribute information includes but not limited to：The characteristics of classification of figure, figure, figure height sum width, figure
Title, abscissa title, ordinate title, abscissa initial data, ordinate initial data, lines title, line color,
Lines are linear, background color and font size.
Preferably, described first module is established specifically for establishing knowledge base using Prolog methods, wherein the knowledge
Include the attribute information of common figure in library.
Preferably, described second module is established specifically for utilizing Prolog method method for building up library, wherein wherein described
The corresponding selection rule of attribute information of common figure is stored in method base.
It can be seen via above technical scheme that compared with prior art, the present disclosure provides a kind of digital aircrafts
The artificial intelligence generation method of figure in simulation report realizes automatically generating for figure in simulation report, solves traditional manual pair
The trouble of insertion and the design of figure in digital aircraft simulation report is write work for digital aircraft simulation report and is saved greatly
Measure the time.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 attached drawings are the flow of the artificial intelligence generation method of figure in digital aircraft simulation report provided by the invention
Figure；
Fig. 2 attached drawings are the attribute information provided by the invention for reading figure from database and generate figure based on attribute information
Specific steps flow chart；
Fig. 3 attached drawings are the signal of the artificial intelligence generating means of figure in digital aircraft simulation report provided by the invention
Figure；
Fig. 4 attached drawings are the schematic diagram of generation module provided by the invention.
Specific implementation mode
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 describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a kind of artificial intelligence generation methods of figure in digital aircraft simulation report, realize
Figure automatically generates in simulation report, solves the fiber crops of insertion and the design of figure during traditional manual reports digital aerial vehicle simulation
It is tired, it writes work for digital aircraft simulation report and saves the plenty of time.
Referring to attached drawing 1, the present invention provides a kind of artificial intelligence generation method of figure in digital aircraft simulation report, packet
It includes：
S1：Knowledge base is established, the attribute information of common figure in digital aircraft simulation report is included wherein in knowledge base；
S2：Method for building up library is wherein stored with the template of common figure and the attribute letter of corresponding figure in the method library
Cease corresponding selection rule；
S3：Based on the knowledge base and the method library, according to the research contents of digital aircraft simulation report and wait locating
The data of reason determine the attribute information for being inserted into figure, and are stored in database；
S4：The attribute information for being inserted into figure is read from database, and figure is generated based on the attribute information for being inserted into figure.
In order to advanced optimize technical scheme of the present invention, referring to attached drawing 2, S4：The category for being inserted into figure is read from database
Property information, and the specific steps based on insertion figure attribute information generation figure include：
S41：The attribute information of the insertion figure stored in reading database；
S42：Corresponding configuration file is generated according to the attribute information for being inserted into figure；
S43：Corresponding execution file is generated based on configuration file；
S44：Operation executes file, generates corresponding figure.
In order to advanced optimize technical scheme of the present invention, attribute information includes but not limited to：The classification of figure, the spy of figure
Point, the width of height sum of figure, the title of figure, abscissa title, ordinate title, abscissa initial data, ordinate starting
Data, lines title, line color, lines are linear, background color and font size.
In order to advanced optimize technical scheme of the present invention, establishing knowledge base includes：Knowledge is established using Prolog methods
Library.
In order to advanced optimize technical scheme of the present invention, method for building up library includes：Utilize Prolog method method for building up
Library.
The artificial intelligence generating means of figure in a kind of digital aircraft simulation report, including：
Knowledge base establishes module 10, for establishing knowledge base, wherein including digital aircraft emulation report in the knowledge base
The attribute information of the template of common figure and corresponding figure in announcement；
Method base establishes module 20, is used for method for building up library, the attribute of common figure is wherein stored in the method library
The corresponding selection rule of information；
Database writes module 30, for being based on the knowledge base and the method library according to digital aircraft simulation report
Research contents and pending data determine the attribute information for being inserted into figure, and be stored in database；
Image generating module 40 for reading the attribute information for being inserted into figure from the database, and is based on the insertion
The attribute information of figure generates figure.
In order to advanced optimize technical scheme of the present invention, the generation module 40 includes：
Database reading unit 401, the attribute information for reading the insertion figure stored in the database；
Configuration file generation unit 402, for generating corresponding configuration file according to the attribute information for being inserted into figure；
File generating unit 403 is executed, file is executed accordingly for being generated based on the configuration file；
Picture generation unit 404 for running the execution file, and generates corresponding figure.
In order to advanced optimize technical scheme of the present invention, the attribute information includes but not limited to：The classification of figure, figure
Feature, the width of height sum of figure, the title of figure, abscissa title, ordinate title, abscissa initial data, ordinate rise
Beginning data, lines title, line color, lines are linear, background color and font size.
In order to advanced optimize technical scheme of the present invention, described first, which establishes module 10, is specifically used for utilizing the side Prolog
Method establishes knowledge base, wherein including the attribute information of common figure in the knowledge base.
In order to advanced optimize technical scheme of the present invention, described second, which establishes module 20, is specifically used for utilizing the side Prolog
Method method for building up library is wherein stored with the corresponding selection rule of attribute information of common figure in method base.
In view of the emulation of current digital aircraft is complicated and the big problem of data volume, the present invention provides a kind of digital flights
The artificial intelligence generation method of figure in device simulation report.
In specific implementation, the artificial intelligence generation method packet of figure in digital aircraft simulation report provided by the invention
It includes：
Knowledge base and method base are established using Prolog methods, wherein it is stored with the attribute and corresponding selection rule of figure,
According to the research contents and data involved in simulation report, automated reasoning goes out the attribute information of figure, and is deposited into database.Root
According to the attribute of the good figure of decision, digital aircraft emulation report is realized using the attribute information in C# design language reading databases
The intelligence of figure generates in announcement.
Map generalization program in simulation report is generated using C# programming languages, and step includes：Read path
Under database in figure attribute information；Corresponding configuration file is generated according to attribute information；It is generated by reading configuration file
Corresponding .m files；" operation matlab programs " instruction is executed .m files is executed, it is corresponding that .m files is generated in the case where determining path
Figure.
Compared with prior art, artificial intelligence proposed by the present invention fully examines the map generalization strategy in simulation report
Digital aircraft subsystem, component emulation are considered in detail, the feature of data complexity, then data involved in simulation report are more, right
The processing of data just seems particularly significant, and required figure also differs when data difference rule, in order to meet number
Rapidity, the accuracy demand that the report of word aerial vehicle simulation is write, on the basis of the realization of C# program languages automatically generates figure
It introduces reasoning language Prolog and realizes and the artificial intelligence of figure in simulation report is generated, it is time saving and energy saving and to accuracy to meet
Demand.To the difference of data processing needs, intelligence generates different types of figure, eliminates artificial decision subjectivity that may be present
Error keeps the processing of digital aircraft simulated digital more scientific, accurate；It is provided simultaneously for the Intelligent generation of figure in other documents
Basis and technical solution.
Illustrate the realization process of the present invention with reference to specific example：
Knowledge base and method base are established, according to the difference of digital aircraft simulation report particular content, realizes figure attribute letter
The intelligent inference of breath.
Step 1：Establish knowledge base：Wherein include the type of all frequently-used data statistical charts and the statistics of its logarithm evidence
Feature, relevant keyword etc..Example：Broken line graph：It is usually used in studying the rule that variable changes over time；
Step 2：Method for building up library, when needing research three axis angular rates of digital aircraft to change over time, for body
The rule that existing variable changes over time, it is known that entitled " three axis angular rates change over time figure " of figure.Then by knowledge base and side
The type that Faku County's automated reasoning goes out figure is broken line graph；For common digital aircraft simulation report, it is specified that the height of figure
It is 160, the width of figure is 240, and figure ground is unified for white；According to the title " three axis angular rates change over time figure " of figure,
It is entitled " simulation time " to infer abscissa, ordinate is entitled " three axis angular rates "；According to rule：Transverse and longitudinal coordinate title word
When number is within the scope of for 1-6, font 20, when<When 10, font 15,<Font is 12 when 15, therefore
The font for inferring transverse and longitudinal coordinate title is 20；For broken line graph, it is specified that being linearly unified for straight line, size 1.0, lines
Color be ordered as it is red, blue, green, yellow, black, purple, according to variables reordering be followed successively by its distribute line color；It reads and needs for drawing
The data of analysis determine algorithm by max min, determine the maximum value and minimum value of simulation time data, true constant angular velocity
Maximum, the minimum value of degree, the range of each variable is determined according to the maximum of variable, minimum value, determine transverse and longitudinal axis value step-length from
And determine the scale value of transverse and longitudinal axis.
Using C# programming languages, realize that the intelligence of figure generates.
Step 1：Reading database determines the corresponding configuration text of the figure of required generation according to the attribute information in database
Part；
Step 2：According to the configuration file that step 1 generates, corresponding .m files are generated, and be stored under specified path.With folding
For line statistical chart, wherein claiming comprising the map title, pattern height and width, abscissa title, ordinate title, transverse and longitudinal coordinate starting
Data, line properties (title of lines representative amount, line color, lines are linear), figure ground color, font size etc.；
Step 4：It checks whether and generates .m files, if generated, start matlab programs, and execute the .m of step 3
File generates the corresponding picture of file, and is stored to specified path.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with other
The difference of embodiment, just to refer each other for identical similar portion between each embodiment.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (10)
1. the artificial intelligence generation method of figure in a kind of digital aircraft simulation report, which is characterized in that including：
Knowledge base is established, wherein comprising the template of common figure in digital aircraft simulation report and corresponding in the knowledge base
The attribute information of figure；
Method for building up library is wherein stored with the corresponding selection rule of attribute information of the common figure in the method library；
Based on the knowledge base and the method library, according to the research contents of digital aircraft simulation report and pending data
It determines the attribute information for being inserted into figure, and is stored in database；
The attribute information of the insertion figure is read from the database, and figure is generated based on the attribute information for being inserted into figure.
2. the artificial intelligence generation method of figure in digital aircraft simulation report according to claim 1, which is characterized in that
The attribute information that the insertion figure is read from database, and based on the specific step of the insertion figure attribute information generation figure
Suddenly include：
Read the attribute information of the insertion figure stored in the database；
Corresponding configuration file is generated according to the attribute information for being inserted into figure；
Corresponding execution file is generated based on the configuration file；
The execution file is run, corresponding figure is generated.
3. the artificial intelligence generation method of figure in digital aircraft simulation report according to claim 1, which is characterized in that
The attribute information includes but not limited to：The characteristics of classification of figure, figure, the width of height sum of figure, the title of figure, abscissa name
Title, ordinate title, abscissa initial data, ordinate initial data, lines title, line color, lines are linear, background face
Color and font size.
4. the artificial intelligence generation method of figure in digital aircraft simulation report according to claim 1, which is characterized in that
The knowledge base of establishing includes：Knowledge base is established using Prolog methods.
5. the artificial intelligence generation method of figure in digital aircraft simulation report according to claim 1, which is characterized in that
The method for building up library includes：Utilize Prolog method method for building up library.
6. the artificial intelligence generating means of figure in a kind of digital aircraft simulation report, which is characterized in that including：
First establishes base module, for establishing knowledge base, wherein including digital aircraft simulation report in the knowledge base
In the common template of figure and the attribute information of corresponding figure；
Second method for building up library module is used for method for building up library, the category of the common figure is wherein stored in the method library
Property information corresponding selection rule；
Database writes module, for the research based on the knowledge base and the method library according to digital aircraft simulation report
Content and pending data determine the attribute information for being inserted into figure, and are stored in database；
Image generating module, the attribute information for reading the insertion figure from the database, and schemed based on the insertion
Attribute information generate figure.
7. the artificial intelligence generating means of figure in digital aircraft simulation report according to claim 6, which is characterized in that
The generation module includes：
Database reading unit, the attribute information for reading the insertion figure stored in the database；
Configuration file generation unit, for generating corresponding configuration file according to the attribute information for being inserted into figure；
File generating unit is executed, file is executed accordingly for being generated based on the configuration file；
Picture generation unit generates corresponding figure for running the execution file.
8. the artificial intelligence generating means of figure in digital aircraft simulation report according to claim 6, which is characterized in that
The attribute information includes but not limited to：The characteristics of classification of figure, figure, the width of height sum of figure, the title of figure, abscissa name
Title, ordinate title, abscissa initial data, ordinate initial data, lines title, line color, lines are linear, background face
Color and font size.
9. the artificial intelligence generating means of figure in digital aircraft simulation report according to claim 6, which is characterized in that
Described first, which establishes module, is specifically used for establishing knowledge base using Prolog methods, wherein including common figure in the knowledge base
Attribute information.
10. the artificial intelligence generating means of figure, feature exist in digital aircraft simulation report according to claim 6
In described second, which establishes module, is specifically used for utilizing Prolog method method for building up library, is wherein stored in the method library
State the corresponding selection rule of attribute information of common figure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810339579.2A CN108614928A (en) | 2018-04-16 | 2018-04-16 | The artificial intelligence generation method and device of figure in digital aircraft simulation report |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810339579.2A CN108614928A (en) | 2018-04-16 | 2018-04-16 | The artificial intelligence generation method and device of figure in digital aircraft simulation report |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108614928A true CN108614928A (en) | 2018-10-02 |
Family
ID=63660361
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810339579.2A Pending CN108614928A (en) | 2018-04-16 | 2018-04-16 | The artificial intelligence generation method and device of figure in digital aircraft simulation report |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108614928A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080071467A1 (en) * | 2006-09-19 | 2008-03-20 | Johnson Christopher S | Collection, monitoring, analyzing and reporting of traffic data via vehicle sensor devices placed at multiple remote locations |
| CN101208694A (en) * | 2005-04-25 | 2008-06-25 | 株式会社Ipb | Device for automatically creating information analysis report, program for automatically creating information analysis report, and method for automatically creating information analysis report |
| CN102222124A (en) * | 2011-03-22 | 2011-10-19 | 北京航空航天大学 | Platform and method for automatically generating design schematic diagram of automatic test system |
| CN103460212A (en) * | 2011-03-25 | 2013-12-18 | 皇家飞利浦有限公司 | Generating a report based on image data |
| CN105608065A (en) * | 2015-12-16 | 2016-05-25 | 北京奇虎科技有限公司 | Chart generation method and apparatus |
| CN105868310A (en) * | 2016-03-25 | 2016-08-17 | 联想(北京)有限公司 | Data processing method and device and electronic device |
-
2018
- 2018-04-16 CN CN201810339579.2A patent/CN108614928A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101208694A (en) * | 2005-04-25 | 2008-06-25 | 株式会社Ipb | Device for automatically creating information analysis report, program for automatically creating information analysis report, and method for automatically creating information analysis report |
| US20080071467A1 (en) * | 2006-09-19 | 2008-03-20 | Johnson Christopher S | Collection, monitoring, analyzing and reporting of traffic data via vehicle sensor devices placed at multiple remote locations |
| CN102222124A (en) * | 2011-03-22 | 2011-10-19 | 北京航空航天大学 | Platform and method for automatically generating design schematic diagram of automatic test system |
| CN103460212A (en) * | 2011-03-25 | 2013-12-18 | 皇家飞利浦有限公司 | Generating a report based on image data |
| CN105608065A (en) * | 2015-12-16 | 2016-05-25 | 北京奇虎科技有限公司 | Chart generation method and apparatus |
| CN105868310A (en) * | 2016-03-25 | 2016-08-17 | 联想(北京)有限公司 | Data processing method and device and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200319856A1 (en) | Visual virtual programming machine for real-time interactive creation, playback, execution, inspection and manipulation of programming elements | |
| EP4322009A1 (en) | Test case generation method, apparatus and device | |
| CN110457260A (en) | Document handling method, device, equipment and computer readable storage medium | |
| CN112199477A (en) | Dialogue management scheme and dialogue management corpus construction method | |
| CN113901231A (en) | Method, device and medium for evolution analysis of knowledge graph | |
| Goguen Jr | On homomorphisms, correctness, termination, unfoldments, equivalence of flow diagram programs | |
| US20130191809A1 (en) | Graphical representation of an order of operations | |
| CN108614928A (en) | The artificial intelligence generation method and device of figure in digital aircraft simulation report | |
| CN111753554A (en) | Method and device for generating intention knowledge base | |
| CN116226487A (en) | Data large screen visualization method and system based on pattern recognition | |
| CN116822462A (en) | Method and device for generating simulation report of power system | |
| RU2679383C1 (en) | Self-corrective method and recognizer for recognition device of valuable documents | |
| CN109800147A (en) | A kind of test cases generation method and terminal device | |
| CN104794236B (en) | A kind of map making rule structure and its structured organization method and system | |
| Ramanujan et al. | A human information processing perspective on software maintenance | |
| US20210319150A1 (en) | Instruction authoring tool | |
| Tanaka et al. | A method for collecting learners’ thinking process in ER modeling exercises and its application experiment | |
| CN109918286A (en) | A kind of processing method and processing device of static code analysis | |
| CN103699740B (en) | Sketch semantic recognition method and system for on-line capture of design intent | |
| Milovanovic et al. | Python Data Visualization Cookbook | |
| CN113869516B (en) | Knowledge graph embedded model training method and device, electronic equipment and medium | |
| Walter et al. | Calculational Proofs in ACL2s | |
| CN113591484B (en) | Expert system rule base establishment method based on semantic analysis | |
| Gavanelli | SLDNF-Draw: Visualization of Prolog operational semantics in LaTeX | |
| Jeremić et al. | Student modeling in design pattern ITS |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181002 |
|
| RJ01 | Rejection of invention patent application after publication |