CN110492615A - A kind of large size phase modifier intelligent warning system and method - Google Patents
A kind of large size phase modifier intelligent warning system and method Download PDFInfo
- Publication number
- CN110492615A CN110492615A CN201910812383.5A CN201910812383A CN110492615A CN 110492615 A CN110492615 A CN 110492615A CN 201910812383 A CN201910812383 A CN 201910812383A CN 110492615 A CN110492615 A CN 110492615A
- Authority
- CN
- China
- Prior art keywords
- intelligent
- alarm
- signal
- object model
- module
- 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.)
- Withdrawn
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
- H02J3/1885—Arrangements for adjusting, eliminating or compensating reactive power in networks using rotating means, e.g. synchronous generators
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Alarm Systems (AREA)
Abstract
The present invention discloses a kind of large-scale phase modifier intelligent warning system and method, firstly, intelligent signal collection module acquires production process original signal, and rejects the abnormal signal in original signal；Then, the signal data sent in intelligent signal collection module is converted to standard object model input data by logical operation and generates basis alarm example by signal pre-processing module；Fault reasoning module makes inferences basis alarm example according to standard object model and standard object model input data, association analysis, generates intelligent alarm example by screening, merging；Expert decision-making module is according to the corresponding expert's handling suggestion of intelligent alarm example classification identifier lookup and is added to intelligent alarm example；Finally, alarm release module is responsible for externally showing, stores intelligent alarm example.Such technical solution can mitigate operations staff's working strength, improve phase modifier monitoring system intelligent level, guarantee the safe and reliable operation of phase modifier system.
Description
Technical field
The invention belongs to thermal technology's unattended monitoring technical field of phase modifier, in particular to a kind of large-scale phase modifier intelligence
Warning system and method.
Background technique
With the development of the technologies such as extra-high voltage direct-current transmission, new energy, bulk power grid, exchange and direct current, sending end and receiving end phase
The problems such as mutually influencing, bringing the safe operation of voltage and frequency stabilization, power grid.For the idle and voltage problem for solving power grid, need
Reinforce reactive compensation and dynamic regulation ability.There is phase modifier reactive power, which to export, is influenced smaller, short-time overload by system voltage
The advantages such as ability is strong, transient response speed is fast, good operation stability, service life length, improving, extra-high voltage alternating current-direct current power grid is steady
It plays a significant role in qualitative.
Different from conventional electric power equipment, phase modifier is that slewing, unit itself and its auxiliary system monitoring and control are subordinate to
Belong to thermal control process field.In face of smart grid, unmanned development trend, in industry to phase modifier monitoring system nobody
Functional requirement on duty is urgent.Although unattended transforming has been achieved for centainly in the development of conventional electric power automatic field
Achievement, but Thermal Automation field still in its infancy；In addition, heat power engineering system field device is many kinds of, system structure
Complicated multiplicity, can not the system modeling method directly by electric system based on topological structure of electric directly apply and hot working supervisory system system
System.
Intelligent alarm is the important component of unattended transforming.The phase modifier warning system realized at present
Alarm mode is relatively single, and function is limited；Since phase modifier ancillary equipment start and stop are frequent, and many signals need to combine specific operating condition
It just can accurately reflect equipment health status, therefore operations staff's monitor task is heavier.More importantly, it is easy to it omits real
The fault-signal of generation and important alarm signal, once accident occurs, operations staff pass through alarm entry fault point
Difficulty is also larger.
Summary of the invention
The purpose of the present invention is to provide a kind of large-scale phase modifier intelligent warning system and method, to mitigate operations staff
Working strength improves phase modifier monitoring system intelligent level, guarantees the safe and reliable operation of phase modifier system.
In order to achieve the above objectives, solution of the invention is:
A kind of large size phase modifier intelligent warning system, including acquisition device and intelligent alarm server；
Acquisition device is deployed with intelligent signal collection module, and the intelligent signal collection module acquires the original letter of production process
Number, and reject the abnormal signal in original signal；
Intelligent alarm server disposition has signal pre-processing module, fault reasoning module, expert decision-making module, alarm publication
Module and model configuration module, in which:
The signal pre-processing module is converted to the signal data sent in intelligent signal collection module by logical operation
Standard object model input data simultaneously generates basis alarm example；
The fault reasoning module alerts example to basis according to standard object model and standard object model input data
It makes inferences, association analysis, generates intelligent alarm example by screening, merging；
The expert decision-making module is according to the corresponding expert's handling suggestion of intelligent alarm example classification identifier lookup and adds
To intelligent alarm example；
The alarm release module is responsible for externally showing, stores intelligent alarm example；
The model configuration module is used for configuration standard object model, object model example, intelligent alarm classification and correspondence
Expert's handling suggestion.
Above-mentioned intelligent alarm server is configured to the two server of redundancy.
Above-mentioned intelligent warning system further includes intelligent alarm work station, and intelligent alarm work station is deployed with the second alarm publication
Module, the supplement for intelligent alarm information are issued.
A kind of large size phase modifier intelligent alarm method, includes the following steps:
Step 1, production process original signal is acquired, and rejects the abnormal signal in original signal；
Step 2, the signal data that step 1 obtains is converted into standard object model input data and life by logical operation
Example is alerted at basis；
Step 3, basis alarm example made inferences according to standard object model and standard object model input data, closed
The analysis of connection property generates intelligent alarm example by screening, merging；
Step 4, according to the corresponding expert's handling suggestion of intelligent alarm example classification identifier lookup and it is added to intelligent alarm
Example；
Step 5, it externally shows, storage intelligent alarm example.
In above-mentioned steps 1, the abnormal signal in original signal is rejected by the means of filtering, stabilization.
In above-mentioned steps 2, standard object model uses Pyramid, from top to bottom includes unit grade, functional group grade, son
Functional group grade, device drives grade, basic data grade.
The Pyramid of corresponding standard object model, also design standard object model base class, and by standard object model
Base class derives unit model class, function group model class, subfunction group model class, device model class, basic data model class.
In above-mentioned steps 3, using fixed cycle polling technique monitoring standard mode input data and fault reasoning, and poll is all
Phase is settable.
In above-mentioned steps 2, basis alarm example includes: standard object model input signal ID, standard object model input
Signal condition variation and original signal state change associated with it.
In above-mentioned steps 3, intelligent alarm example includes: classification logotype, alarm description, alarm time, alerts grade, is affiliated
Equipment and device path, handling suggestion, original signal state change.
After adopting the above scheme, the invention has the benefit that using large-scale phase modifier intelligent warning system of the invention
And after method, the signal intensity that can exchange camera system in real time is summarized, analyzed and is handled, according to warning information, quickly
Positioning device is operating abnormally situation, and related personnel is instructed to formulate treatment measures in time, and alarm entry is greatly reduced, and reduces unrelated
The interference of the information caused by operations staff is alerted, mitigates the work load of operation operations staff significantly, guarantees phase modifier system peace
Full reliability service；In addition, each class model and expert decision-making library configuring maintenance of the invention is simple, scalability is strong.
Detailed description of the invention
Fig. 1 is the system architecture diagram of large-scale phase modifier intelligent warning system；
Fig. 2 is the hardware structure diagram of large-scale phase modifier intelligent warning system；
Fig. 3 is standard object model vertical structure figure；
Fig. 4 is standard object model class hierarchy figure；
Fig. 5 is basis alarm instance model figure；
Fig. 6 is intelligent alarm instance model figure；
Fig. 7 is model configuration flow chart；
Fig. 8 is intelligent alarm process flow diagram.
Specific embodiment
Below with reference to attached drawing, technical solution of the present invention and beneficial effect are described in detail.
As shown in Figure 1, the present invention provides a kind of large-scale phase modifier intelligent warning system, including intelligent signal collection module,
Signal pre-processing module, fault reasoning module, expert decision-making module, alarm release module, model configuration module, are situated between separately below
It continues.
The intelligent signal collection module acquires production process original signal, and rejects original by means such as filtering, stabilizations
Abnormal signal in beginning signal；
The signal pre-processing module is converted to the signal data sent in intelligent signal collection module by logical operation
Standard object model input data simultaneously generates basis alarm example；
The fault reasoning module alerts example to basis according to standard object model and standard object model input data
It makes inferences, association analysis, generates intelligent alarm example by screening, merging；This module is supervised using fixed cycle polling technique
Master pattern input data and fault reasoning are surveyed, wherein polling cycle is settable；
The expert decision-making module is according to the corresponding expert's handling suggestion of intelligent alarm example classification identifier lookup and adds
To intelligent alarm example；
The alarm release module is responsible for externally showing, stores intelligent alarm example；Specifically include following functions: alarm sieve
Choosing, alarm retrieval, the storage of customized alarm page, alarm history, alarm export；
The model configuration module is used for configuration standard object model, object model example, intelligent alarm classification and correspondence
Expert's handling suggestion.
As shown in Fig. 2, the hardware configuration of large-scale phase modifier intelligent warning system includes acquisition device, intelligent alarm server
With intelligent alarm work station；
Wherein, acquisition device disposes intelligent signal collection module；Intelligent alarm server is configured to double services of redundancy
Device, deployment signal preprocessing module, fault reasoning module, expert decision-making module, alarm release module, model configuration module；Intelligence
Work station deployment alarm release module can be alerted, the supplement as intelligent alarm information is issued.
As shown in figure 3, the standard object model use Pyramid, from top to bottom include unit grade, functional group grade,
Subfunction group grade, device drives grade, basic data grade；
Wherein, functional group grade include lubricating oil system, Stator Condense Water System, rotor cooling water system, outer chilled water system,
DW system demineralized water system, SFC system, excitation system, standard corresponding system；
Subfunction group grade includes stator cooling water pump group, rotor cooling water pump group, lubricating oil pump group, jacking oil pump group, follows
Ring water pump group, industry water pump group, cooling wind tower group, pure water convey pump group, a reverse osmosis feedwater pump group, secondary reverse osmosis feedwater
Pump group, SFC ontology, SFC switching subfunction group, main excitation, starting excitation, outlet breaker, transformer；
Device drives grade includes motor, valve, pitch, breaker, pump；
Basic data grade includes switching value, analog quantity.
As shown in figure 4, the Pyramid of the corresponding standard object model, design standard object model base class, and by
Standard object model base class derives unit model class, function group model class, subfunction group model class, device model class, basis
Data model class；
Wherein, function group model class derives ontology model class, oil system model class, water system model class again；
Subfunction group model class derives dual redundant model class, triplex level redundancy model class again；
Device model class derives valve model class, pitch model class, pump model class, electrical model class again；Pump model class
Straightway pump model class, ac pump model class are derived again；Electrical model class derive again breaker model class, every cutting die type class,
SFC model class, excitation model class；
Basic data model class derives analog quantity model class, switching value model class again.
As shown in figure 5, the basis alarm example includes: that standard object model input signal ID, standard object model are defeated
Enter signal condition variation and original signal state change associated with it.
As shown in fig. 6, the intelligent alarm example includes: classification logotype, alarm description, alarm time, alarm grade, institute
Belong to equipment and device path, handling suggestion, original signal state change.
Fig. 7 is model configuration flow chart, specific steps are as follows:
Step A1, original signal configuration, acquisition device built-in filtering, algorithm of signal-wobble elimination, can additionally be realized by configuration
Customized disappear trembles the functions such as time, 8 rank digital filterings, advanced and hysteresis filter, slow signal protection；
Step A2, model class belonging to judgement whether there is, and then be transferred to step A6 if it exists, otherwise be transferred to step A3；
Step A3, standard object model class configuration defines the input of standard object model class, output, alarm classification and inside
Inference logic；
Step A4, whether judgment criteria object model class alarm classification is existing, if existing, is transferred to step A6, no
Then it is transferred to step A5；
Step A5, it increases expert's handling suggestion newly, adds corresponding expert's handling suggestion for newly-increased alarm classification；
Step A6, Signal Pretreatment configuration, by by filtering, disappear tremble the original signal of processing by with or non-, simulation
Amount relatively waits logical operations, is merged into the input that standard object model class defines；
Step A7, standard object model instantiates, and standard object model is mapped as specific equipment or system, and and step
The standard object model class input signal being merged into A6 is associated.
Fig. 8 is intelligent alarm process flow diagram, the specific steps are as follows:
Step B1, basis alarm example is judged whether there is, is then transferred to step B2 if it exists, otherwise return step B1, etc.
Judge to next cycle polling；
Step B2, basis alarm example screened in conjunction with current working, merged, in conjunction with current device or system condition
The normal signal variation under current working is filtered out, such as the outlet pressure decline under water pump stoppage in transit operating condition, belongs to normal letter
Number reaction, in addition, merging for the basis alarm example for being subordinate to same equipment or system, generates a Xiang Zhi without alarm
Example can be alerted, and determines alarm classification, fills original signal state change attribute；
Step B3, new intelligent alarm example is judged whether there is, is then transferred to step B4 if it exists, otherwise return step
B1 waits next cycle polling to judge；
Step B4, layer-by-layer positioning device path then can navigate to its institute by water circulating pump if water circulating pump is alarmed
The recirculated water pump group of category can navigate to the outer chilled water system belonging to it by recirculated water pump group, and then navigate to synergic system, most
Entire path is filled into the intelligent alarm example being presently processing afterwards；
Step B5, fill the alarm description of intelligent alarm example, alarm time, alarm grade, wherein alarm grade be divided into it is general
It is logical, slight, serious, urgent；
Step B6, intelligent alarm instance processes opinion is filled, intelligent alarm example is transmitted to expert decision-making module, passes through announcement
Alert classification logotype, searches corresponding expert's handling suggestion and is filled into current intelligent alarm example, so far, intelligent alarm example is filled out
It charges complete；
Step B7, intelligent alarm example is issued, and intelligent alarm exemplary stream goes to alarm release module, carries out alarm example
Historical storage and externally displaying.
The above examples only illustrate the technical idea of the present invention, and this does not limit the scope of protection of the present invention, all
According to the technical idea provided by the invention, any changes made on the basis of the technical scheme each falls within the scope of the present invention
Within.
Claims (10)
1. a kind of large size phase modifier intelligent warning system, it is characterised in that: including acquisition device and intelligent alarm server；
Acquisition device is deployed with intelligent signal collection module, and the intelligent signal collection module acquires production process original signal,
And reject the abnormal signal in original signal；
Intelligent alarm server disposition has signal pre-processing module, fault reasoning module, expert decision-making module, alarm release module
With model configuration module, in which:
The signal data sent in intelligent signal collection module is converted to standard by logical operation by the signal pre-processing module
Object model input data simultaneously generates basis alarm example；
The fault reasoning module carries out basis alarm example according to standard object model and standard object model input data
Reasoning, association analysis generate intelligent alarm example by screening, merging；
The expert decision-making module is according to the corresponding expert's handling suggestion of intelligent alarm example classification identifier lookup and is added to intelligence
Example can be alerted；
The alarm release module is responsible for externally showing, stores intelligent alarm example；
The model configuration module for configuration standard object model, object model example, intelligent alarm classification and it is corresponding specially
Family's handling suggestion.
2. a kind of large-scale phase modifier intelligent warning system as described in claim 1, it is characterised in that: the intelligent alarm service
Device is configured to the two server of redundancy.
3. a kind of large-scale phase modifier intelligent warning system as described in claim 1, it is characterised in that: the intelligent warning system
It further include intelligent alarm work station, intelligent alarm work station is deployed with the second alarm release module, for intelligent alarm information
Supplement publication.
4. a kind of large size phase modifier intelligent alarm method, it is characterised in that include the following steps:
Step 1, production process original signal is acquired, and rejects the abnormal signal in original signal；
Step 2, the signal data that step 1 obtains is converted into standard object model input data by logical operation and generates base
Plinth alerts example；
Step 3, basis alarm example is made inferences according to standard object model and standard object model input data, relevance
Analysis generates intelligent alarm example by screening, merging；
Step 4, according to the corresponding expert's handling suggestion of intelligent alarm example classification identifier lookup and it is added to intelligent alarm example；
Step 5, it externally shows, storage intelligent alarm example.
5. a kind of large-scale phase modifier intelligent alarm method as claimed in claim 4, it is characterised in that: in the step 1, pass through
It filters, the abnormal signal in the means of stabilization rejecting original signal.
6. a kind of large-scale phase modifier intelligent alarm method as claimed in claim 4, it is characterised in that: in the step 2, standard
Object model uses Pyramid, from top to bottom includes unit grade, functional group grade, subfunction group grade, device drives grade, basis
Data level.
7. a kind of large-scale phase modifier intelligent alarm method as claimed in claim 6, it is characterised in that: corresponding standard object model
Pyramid, also design standard object model base class and derives unit model class, function by standard object model base class
Group model class, subfunction group model class, device model class, basic data model class.
8. a kind of large-scale phase modifier intelligent alarm method as claimed in claim 4, it is characterised in that: in the step 3, use
Fixed cycle polling technique monitoring standard mode input data and fault reasoning, and polling cycle is settable.
9. a kind of large-scale phase modifier intelligent alarm method as claimed in claim 4, it is characterised in that: in the step 2, basis
Alarm example include: standard object model input signal ID, standard object model status input signal variation and it is associated with it
Original signal state change.
10. a kind of large-scale phase modifier intelligent alarm method as claimed in claim 4, it is characterised in that: in the step 3, intelligence
It includes: classification logotype, alarm description, alarm time, alarm grade, corresponding device and device path, processing meaning that example, which can be alerted,
See, original signal state change.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910812383.5A CN110492615A (en) | 2019-08-30 | 2019-08-30 | A kind of large size phase modifier intelligent warning system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910812383.5A CN110492615A (en) | 2019-08-30 | 2019-08-30 | A kind of large size phase modifier intelligent warning system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110492615A true CN110492615A (en) | 2019-11-22 |
Family
ID=68555381
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910812383.5A Withdrawn CN110492615A (en) | 2019-08-30 | 2019-08-30 | A kind of large size phase modifier intelligent warning system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110492615A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110907732A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Phase modulator fault diagnosis method based on PCA-RBF neural network |
| CN110988547A (en) * | 2019-12-17 | 2020-04-10 | 国网江苏省电力有限公司检修分公司 | Power grid phase modulator state monitoring system |
-
2019
- 2019-08-30 CN CN201910812383.5A patent/CN110492615A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110907732A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Phase modulator fault diagnosis method based on PCA-RBF neural network |
| CN110988547A (en) * | 2019-12-17 | 2020-04-10 | 国网江苏省电力有限公司检修分公司 | Power grid phase modulator state monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103017818B (en) | System and method for fault diagnosis of intelligent switchgears | |
| Fu et al. | Predictive maintenance in intelligent-control-maintenance-management system for hydroelectric generating unit | |
| CN104020754B (en) | Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system | |
| CN102193555B (en) | Panoramic-state monitoring system for centralized control centers | |
| CN105737903A (en) | Intelligent pre-diagnosis and maintenance intelligent early warning method for faults of port machinery | |
| CN106786620B (en) | Emergency load control method under island network malfunction | |
| CN108345723A (en) | A kind of Diagnostic system of motor fault and method based on decision tree and Bayesian network | |
| CN107492952A (en) | A kind of regulation and control center alarm signal analysis method and the intelligent warning system based on it | |
| CN104330275B (en) | A kind of accident analysis of converter valve cooling system and diagnostic device and its implementation | |
| CN106773979B (en) | A kind of managing and control system and method suitable for shipping shore power system power supply and information | |
| CN110492615A (en) | A kind of large size phase modifier intelligent warning system and method | |
| CN107093928A (en) | Power distribution network scheduling aid decision and trouble analysis system | |
| CN103742358A (en) | Compound type wind generating set state monitoring system | |
| CN101885451A (en) | Tower crane intelligent early-warning system | |
| CN108710099A (en) | Capacitance type potential transformer monitoring alarm method and system | |
| CN202586500U (en) | Ship energy management system | |
| CN107861471A (en) | A kind of control system of remote monitoring machine tool net safe operation | |
| CN103368495B (en) | The control method of a kind of high voltage converter " one drag two " and control system | |
| CN102664457A (en) | Energy management system for ship | |
| CN110553821A (en) | Visualized diagnosis method and system for faults of steam turbine generator unit | |
| CN107463146A (en) | A kind of method that crane failure is diagnosed by MHCIMS | |
| CN110310009A (en) | A kind of alarm of dispatching of power netwoks operation risk and panorama appraisal procedure | |
| CN204719920U (en) | DCS system tripping alarm device | |
| CN108037387A (en) | The equipment fault analysis method and device collected based on cluster | |
| CN103899483A (en) | State monitoring system of wind turbine generator |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20191122 |