CN107219782A - A kind of dust-proof control system of high-low pressure transformation cabinet precision - Google Patents
A kind of dust-proof control system of high-low pressure transformation cabinet precision Download PDFInfo
- Publication number
- CN107219782A CN107219782A CN201710334939.5A CN201710334939A CN107219782A CN 107219782 A CN107219782 A CN 107219782A CN 201710334939 A CN201710334939 A CN 201710334939A CN 107219782 A CN107219782 A CN 107219782A
- Authority
- CN
- China
- Prior art keywords
- image
- transformation cabinet
- dust
- similarity
- optimization
- 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
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of dust-proof control system of high-low pressure transformation cabinet precision, including：Image acquisition units, for gathering original image in transformation cabinet；Optimization processing unit, obtains optimizing image for optimizing original image processing；Dust removing units, are communicated to connect with control unit, for according to control unit instruction action, to carrying out dedusting in transformation cabinet；Control unit, is connected with image acquisition units, optimization processing unit communication；Control unit gathers original image in n transformation cabinets by image acquisition units, processing is optimized to n original images by optimization processing unit and obtains n optimization images, n optimization images are subjected to similarity-rough set with preset standard image respectively again, the similarity Q of n optimization images is obtained1…Qn, then to the similarity Q of n optimization images1…QnMean value calculation is carried out, target similarity Q is obtained；By similarity Q and default similarity Q0It is compared, according to comparative result instruction control dust removing units action.
Description
Technical field
The present invention relates to transformation cabinet dedusting technology field, more particularly to a kind of dust-proof control system of high-low pressure transformation cabinet precision
System.
Background technology
Transformation cabinet is to enter the casing that line translation, collection neutralize the place of distribution to the voltage and current of electric energy in power system,
Comprising many exposed components for being used to carry out voltage and current conversion in transformation cabinet, transformation cabinet is typically placed in roadside, field,
Or working site, and often these places can cause a large amount of dust metallic particles to enter transformation cabinet, after dust enters Electric Appliance Cabinet：
First is attached on the exposed component of electrical equipment due to dust, moisture in air is reabsorbed after dust covering, to partial denudation
Component can corrode, may cause for a long time insulativity reduction, short circuit, ground connection etc. failure, in some instances it may even be possible to cause get an electric shock
Danger.
, according to amount of dust size, dust in transformation cabinet can be purged by detecting amount of dust in transformation cabinet at present,
But be due to remove a dust need longer time and expense, if so improve amount of dust accuracy of detection, can be significantly
Reduce because the error of detection amount of dust causes increase time cost and financial cost, while during one-time dedusting, for
Amount of dust size, which carries out different degrees of removing, can also reduce cost.
The content of the invention
The technical problem existed based on background technology, the present invention proposes a kind of dust-proof control system of high-low pressure transformation cabinet precision
System；
A kind of dust-proof control system of high-low pressure transformation cabinet precision proposed by the present invention, including：
Image acquisition units, for gathering original image in transformation cabinet；
Optimization processing unit, obtains optimizing image for optimizing original image processing；
Dust removing units, are communicated to connect with control unit, for according to control unit instruction action, to being removed in transformation cabinet
Dirt；
Control unit, is connected with image acquisition units, optimization processing unit communication；
Control unit gathers original image in n transformation cabinets by image acquisition units, by optimization processing unit to n
Original image optimizes processing and obtains n optimization images, then n optimization images are similar to the progress of preset standard image respectively
Degree compares, and obtains the similarity Q of n optimization images1…Qn, then to the similarity Q of n optimization images1…QnCarry out average value meter
Calculate, obtain target similarity Q；By similarity Q and default similarity Q0It is compared, according to comparative result instruction control dedusting list
Metaaction.
Preferably, the dust removing units are removed including the first dedusting module, the second dedusting module, the 3rd dedusting module, the 4th
Dirt module, the first dedusting module, the second dedusting module, the 3rd dedusting module, the 4th dedusting module are respectively arranged on inside transformation cabinet
On four side walls；
Work as bQ0<Q<aQ0When, control unit instruction control dust removing units action, by the first dedusting module in preset time t
It is adjusted to working condition；
Work as cQ0<Q<bQ0When, control unit instruction control dust removing units action, by the first dedusting mould in preset time t 2
Block, the second dedusting module are adjusted to working condition；
Work as Q<cQ0When, control unit instruction control dust removing units action, in preset time t3 by the first dedusting module,
Second dedusting module, the 3rd dedusting module, the 4th dedusting module are adjusted to working condition；Wherein, c<b<a<1.
Preferably, the optimization processing unit, specifically for：
Size adjustment is carried out to original image by preset standard image size；
The transparency that the original image of size adjustment will be carried out is reduced to w, obtains optimizing image.
Preferably, described image collecting unit at least includes an image capture module.
Preferably, in addition to lighting unit, lighting unit is used for the original image in image acquisition units collection transformation cabinet
Transformation cabinet inside is illuminated before.
Preferably, in addition to clock unit, clock unit is communicated to connect with control unit and according to the instruction of control unit
Obtain current time.
The present invention optimizes processing to multiple original images and obtains multiple by gathering original image in multiple transformation cabinets
Optimize image, multiple optimization images are subjected to similarity-rough set with setting standard picture, then calculate multiple optimization image similarities
Target similarity is averagely worth to, then target similarity is compared with default similarity, according to comparative result specific size,
Different degrees of dedusting is carried out to transformation cabinet inside by the removing module of varying number.
In this way, by multiple optimization images and setting standard picture progress similarity-rough set, then calculate multiple optimization image phases
Target similarity is worth to like being averaged for degree, the precision of target similarity can be increased substantially, can be greatly reduced because detection ash
The error of dust quantity causes increase time cost and financial cost, while according to comparative result specific size, for amount of dust size
Different degrees of removing is carried out, amount of dust is less, amount of dust is more, under many 3 kinds of different situations of amount of dust, different numbers are selected
The cleaner of amount, it is also ensured that the quality of dedusting, it is to avoid dedusting does not cause the damage of each element in transformation cabinet totally, significantly
Reduce transformation cabinet and occur accident probability.
Brief description of the drawings
Fig. 1 is a kind of module diagram of the dust-proof control system of high-low pressure transformation cabinet precision.
Embodiment
Reference picture 1, the present invention proposes a kind of dust-proof control system of high-low pressure transformation cabinet precision, it is characterised in that including：
Image acquisition units, for gathering original image in transformation cabinet；
Image acquisition units at least include an image capture module.
In the present embodiment, original image in transformation cabinet is acquired by camera or camera.
Optimization processing unit, obtains optimizing image for optimizing original image processing；
Optimization processing unit, specifically for：
Size adjustment is carried out to original image by preset standard image size；
The transparency that the original image of size adjustment will be carried out is reduced to w, obtains optimizing image.
In the present embodiment, because the original image of collection is not onesize, so needing to enter original image
Row is sized processing, and original image contracting is adjusted by preset standard image size, facilitates the comparison of follow-up similarity, will
The transparency for carrying out the original image of size adjustment is reduced to w, it is therefore an objective to after carrying out the original image after transparency reduction conveniently
The comparison of continuous similarity.
Dust removing units, are communicated to connect with control unit, for according to control unit instruction action, to being removed in transformation cabinet
Dirt；
Dust removing units include the first dedusting module, the second dedusting module, the 3rd dedusting module, the 4th dedusting module, first
Dedusting module, the second dedusting module, the 3rd dedusting module, the 4th dedusting module are respectively arranged on inside transformation cabinet on four side walls；
In the present embodiment, dust removing units include multiple submodule, are separately positioned on inside transformation cabinet on four side walls,
So can the comprehensive dust to inside transformation cabinet targetedly removed, increase dust remove efficiency.
Also include lighting unit, lighting unit is used in image acquisition units collection transformation cabinet before original image to becoming
It is illuminated inside electric cabinet；
In the present embodiment, because transformation cabinet is closed for a long time, light is bad in transformation cabinet, needs to shine before collection image
Bright unit is illuminated to transformation cabinet inside.
Also include clock unit, clock unit communicates to connect with control unit and obtains current according to the instruction of control unit
Time.
In the present embodiment, control unit obtains current time by clock unit, so that it is determined that to being removed in transformation cabinet
The dirt time.
Control unit, is connected with image acquisition units, optimization processing unit communication；
Control unit gathers original image in n transformation cabinets by image acquisition units, by optimization processing unit to n
Original image optimizes processing and obtains n optimization images, then n optimization images are similar to the progress of preset standard image respectively
Degree compares, and obtains the similarity Q of n optimization images1…Qn, then to the similarity Q of n optimization images1…QnCarry out average value meter
Calculate, obtain target similarity Q；By similarity Q and default similarity Q0It is compared, according to comparative result instruction control dedusting list
Metaaction.
Work as bQ0<Q<aQ0When, control unit instruction control dust removing units action, by the first dedusting module in preset time t
It is adjusted to working condition；
Work as cQ0<Q<bQ0When, control unit instruction control dust removing units action, by the first dedusting mould in preset time t 2
Block, the second dedusting module are adjusted to working condition；
Work as Q<cQ0When, control unit instruction control dust removing units action, in preset time t3 by the first dedusting module,
Second dedusting module, the 3rd dedusting module, the 4th dedusting module are adjusted to working condition；Wherein, c<b<a<1；
In the present embodiment, mean value calculation is carried out to the images of multiple optimization processings and obtains target similarity, be for
The precision of optimization image is improved, works as bQ0<Q<aQ0When, illustrate that amount of dust is smaller in transformation cabinet, by first in preset time t
Dedusting module is adjusted to working condition and carries out dedusting to transformation cabinet, works as cQ0<Q<bQ0When, illustrate that amount of dust is more in transformation cabinet,
First dedusting module, the second dedusting module are adjusted to working condition in preset time t 2, work as Q<cQ0When, illustrate in transformation cabinet
Comprising a large amount of dusts, t3 is by the first dedusting module, the second dedusting module, the 3rd dedusting module, the 4th dedusting in preset time
Module is adjusted to working condition and carries out dedusting to transformation cabinet.
Present embodiment optimizes processing by gathering original image in multiple transformation cabinets, to multiple original images and obtained
Multiple optimization images, by multiple optimization images and set standard picture carry out similarity-rough set, then calculate multiple optimization images it is similar
Being averaged for degree is worth to target similarity, then target similarity is compared with default similarity, specific according to comparative result
Size, different degrees of dedusting is carried out to transformation cabinet inside by the removing module of varying number.
In this way, by multiple optimization images and setting standard picture progress similarity-rough set, then calculate multiple optimization image phases
Target similarity is worth to like being averaged for degree, the precision of target similarity can be increased substantially, can be greatly reduced because detection ash
The error of dust quantity causes increase time cost and financial cost, while according to comparative result specific size, for amount of dust size
Different degrees of removing is carried out, amount of dust is less, amount of dust is more, under many 3 kinds of different situations of amount of dust, different numbers are selected
The cleaner of amount, it is also ensured that the quality of dedusting, it is to avoid dedusting does not cause the damage of each element in transformation cabinet totally, significantly
Reduce transformation cabinet and occur accident probability.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (6)
1. a kind of dust-proof control system of high-low pressure transformation cabinet precision, it is characterised in that including：
Image acquisition units, for gathering original image in transformation cabinet；
Optimization processing unit, obtains optimizing image for optimizing original image processing；
Dust removing units, are communicated to connect with control unit, for according to control unit instruction action, to carrying out dedusting in transformation cabinet；
Control unit, is connected with image acquisition units, optimization processing unit communication；
Control unit gathers original image in n transformation cabinets by image acquisition units, original to n by optimization processing unit
Image optimizes processing and obtains n optimization images, then n optimization images are carried out into similarity ratio with preset standard image respectively
Compared with obtaining the similarity Q of n optimization image1…Qn, then to the similarity Q of n optimization images1…QnCarry out mean value calculation,
Obtain target similarity Q；By similarity Q and default similarity Q0It is compared, according to comparative result instruction control dust removing units
Action.
2. the dust-proof control system of high-low pressure transformation cabinet precision according to claim 1, it is characterised in that the dust removing units
Including the first dedusting module, the second dedusting module, the 3rd dedusting module, the 4th dedusting module, the first dedusting module, the second dedusting
Module, the 3rd dedusting module, the 4th dedusting module are respectively arranged on inside transformation cabinet on four side walls；
Work as bQ0<Q<aQ0When, control unit instruction control dust removing units action adjusts the first dedusting module in preset time t
For working condition；
Work as cQ0<Q<bQ0When, control unit instruction control dust removing units action, by the first dedusting module, the in the preset time t 2
Two dedusting modules are adjusted to working condition；
Work as Q<cQ0When, control unit instruction control dust removing units action, t3 removes the first dedusting module, second in preset time
Dirt module, the 3rd dedusting module, the 4th dedusting module are adjusted to working condition；Wherein, c<b<a<1.
3. the dust-proof control system of high-low pressure transformation cabinet precision according to claim 1, it is characterised in that the optimization processing
Unit, specifically for：
Size adjustment is carried out to original image by preset standard image size；
The transparency that the original image of size adjustment will be carried out is reduced to w, obtains optimizing image.
4. the dust-proof control system of high-low pressure transformation cabinet precision according to claim 1, it is characterised in that described image is gathered
Unit at least includes an image capture module.
5. the dust-proof control system of high-low pressure transformation cabinet precision according to claim 1, it is characterised in that also single including illumination
Member, lighting unit is used to be illuminated transformation cabinet inside before original image in image acquisition units collection transformation cabinet.
6. the dust-proof control system of high-low pressure transformation cabinet precision according to claim 1, it is characterised in that also including clock list
Member, clock unit communicates to connect with control unit and obtains current time according to the instruction of control unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710334939.5A CN107219782A (en) | 2017-05-12 | 2017-05-12 | A kind of dust-proof control system of high-low pressure transformation cabinet precision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710334939.5A CN107219782A (en) | 2017-05-12 | 2017-05-12 | A kind of dust-proof control system of high-low pressure transformation cabinet precision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107219782A true CN107219782A (en) | 2017-09-29 |
Family
ID=59943892
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710334939.5A Pending CN107219782A (en) | 2017-05-12 | 2017-05-12 | A kind of dust-proof control system of high-low pressure transformation cabinet precision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107219782A (en) |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1705347A (en) * | 2004-05-31 | 2005-12-07 | 松下电工株式会社 | Image processor and face detector using the same |
| CN1787201A (en) * | 2005-10-24 | 2006-06-14 | 中国电子科技集团公司第四十五研究所 | Apparatus for automatically distinguishing and aligning wafer of wafer cutter and method thereof |
| CN101403602A (en) * | 2008-11-17 | 2009-04-08 | 天津理工大学 | Embedded high-speed on-line machine vision detection method and device |
| CN201821892U (en) * | 2010-08-05 | 2011-05-11 | 葛宇 | Online cigarette detector |
| CN102322434A (en) * | 2011-08-26 | 2012-01-18 | 浙江大学 | Control method and control system for energy saving of dust removing fan for mains frequency melting furnace |
| CN202171575U (en) * | 2011-04-29 | 2012-03-21 | 惠州市钧悦科技有限公司 | Machine vision detection device for detecting optics lens appearance |
| CN202471615U (en) * | 2011-12-28 | 2012-10-03 | 四川省电力公司超高压运行检修公司 | Filth online measuring device capable of improving dust density measurement accuracy |
| CN103047165A (en) * | 2013-01-08 | 2013-04-17 | 浙江大学 | Control method and control system for dust removal fan of smelting furnace |
| CN103089291A (en) * | 2011-11-03 | 2013-05-08 | 中国矿业大学(北京) | Coal mine dust pollution evaluation and spraying dedusting linkage system based on images |
| CN103216891A (en) * | 2013-04-22 | 2013-07-24 | 四川长虹电器股份有限公司 | Dust removal system and dust removal method of air-conditioner outdoor unit |
| CN203076107U (en) * | 2013-03-14 | 2013-07-24 | 黑龙江东方学院 | Remote control dust removal system |
| CN103454946A (en) * | 2013-08-22 | 2013-12-18 | 苏州康华净化系统工程有限公司 | Dust-removal control system for workshop |
| CN103599907A (en) * | 2013-12-06 | 2014-02-26 | 邵俊松 | Self-navigation full-automatic cleaning device for photovoltaic cell panel |
| CN103815827A (en) * | 2014-03-04 | 2014-05-28 | 中国矿业大学 | DSP (Digital Signal Processor) based power self-adaptive dust collector |
| CN204093252U (en) * | 2014-09-15 | 2015-01-14 | 李书军 | Modular combination energy-saving dust remover |
| CN104777172A (en) * | 2015-04-30 | 2015-07-15 | 重庆理工大学 | Quick and intelligent defective optical lens detection device and method |
| CN104850854A (en) * | 2015-05-08 | 2015-08-19 | 广西师范大学 | Talc ore product sorting processing method and talc ore product sorting system |
| CN105785933A (en) * | 2014-12-24 | 2016-07-20 | 佛山市顺德区美的电热电器制造有限公司 | Garment nursing machine, control method and control system thereof |
| CN105827914A (en) * | 2016-04-20 | 2016-08-03 | 北京小米移动软件有限公司 | Lens cleaning prompting method and device |
-
2017
- 2017-05-12 CN CN201710334939.5A patent/CN107219782A/en active Pending
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1705347A (en) * | 2004-05-31 | 2005-12-07 | 松下电工株式会社 | Image processor and face detector using the same |
| CN1787201A (en) * | 2005-10-24 | 2006-06-14 | 中国电子科技集团公司第四十五研究所 | Apparatus for automatically distinguishing and aligning wafer of wafer cutter and method thereof |
| CN101403602A (en) * | 2008-11-17 | 2009-04-08 | 天津理工大学 | Embedded high-speed on-line machine vision detection method and device |
| CN201821892U (en) * | 2010-08-05 | 2011-05-11 | 葛宇 | Online cigarette detector |
| CN202171575U (en) * | 2011-04-29 | 2012-03-21 | 惠州市钧悦科技有限公司 | Machine vision detection device for detecting optics lens appearance |
| CN102322434A (en) * | 2011-08-26 | 2012-01-18 | 浙江大学 | Control method and control system for energy saving of dust removing fan for mains frequency melting furnace |
| CN103089291A (en) * | 2011-11-03 | 2013-05-08 | 中国矿业大学(北京) | Coal mine dust pollution evaluation and spraying dedusting linkage system based on images |
| CN202471615U (en) * | 2011-12-28 | 2012-10-03 | 四川省电力公司超高压运行检修公司 | Filth online measuring device capable of improving dust density measurement accuracy |
| CN103047165A (en) * | 2013-01-08 | 2013-04-17 | 浙江大学 | Control method and control system for dust removal fan of smelting furnace |
| CN203076107U (en) * | 2013-03-14 | 2013-07-24 | 黑龙江东方学院 | Remote control dust removal system |
| CN103216891A (en) * | 2013-04-22 | 2013-07-24 | 四川长虹电器股份有限公司 | Dust removal system and dust removal method of air-conditioner outdoor unit |
| CN103454946A (en) * | 2013-08-22 | 2013-12-18 | 苏州康华净化系统工程有限公司 | Dust-removal control system for workshop |
| CN103599907A (en) * | 2013-12-06 | 2014-02-26 | 邵俊松 | Self-navigation full-automatic cleaning device for photovoltaic cell panel |
| CN103815827A (en) * | 2014-03-04 | 2014-05-28 | 中国矿业大学 | DSP (Digital Signal Processor) based power self-adaptive dust collector |
| CN204093252U (en) * | 2014-09-15 | 2015-01-14 | 李书军 | Modular combination energy-saving dust remover |
| CN105785933A (en) * | 2014-12-24 | 2016-07-20 | 佛山市顺德区美的电热电器制造有限公司 | Garment nursing machine, control method and control system thereof |
| CN104777172A (en) * | 2015-04-30 | 2015-07-15 | 重庆理工大学 | Quick and intelligent defective optical lens detection device and method |
| CN104850854A (en) * | 2015-05-08 | 2015-08-19 | 广西师范大学 | Talc ore product sorting processing method and talc ore product sorting system |
| CN105827914A (en) * | 2016-04-20 | 2016-08-03 | 北京小米移动软件有限公司 | Lens cleaning prompting method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| DE60013102T2 (en) | FAST DETERMINISTIC APPROACH TO DETECT DEFECTIVE PIXELS IN AN IMAGE SENSOR | |
| WO2019076005A1 (en) | Edge positioning apparatus for solar panel cleaning robot, and positioning method thereof | |
| CN104202535A (en) | Automatic exposure method and device | |
| CN112492143B (en) | Based on antifog type network high definition digtal camera of road law violation snapshot | |
| CN113125996A (en) | Detection, regulation and control system of low-voltage electrical cabinet | |
| JP2014192528A (en) | Image capturing device, image processing system, image capturing system, image processing method, image processing program, and recording medium | |
| CN111008615A (en) | Video monitoring-based method for inspecting surface pollution condition of roof photovoltaic module | |
| WO2019076004A1 (en) | Straight-on determination apparatus for solar panel cleaning robot, and determination method thereof | |
| JP2017221010A (en) | Power generation output acquisition method for solar cell module, and power generation output acquisition device | |
| DE112017006039T5 (en) | ELECTRONIC DEVICE, IMAGE RECORDING DEVICE AND METHOD FOR CHANGING OR BZW. SWITCHING ON A POWER SOURCE | |
| CN107980094B (en) | Visual detection system and method | |
| CN107219782A (en) | A kind of dust-proof control system of high-low pressure transformation cabinet precision | |
| CN105547476A (en) | Airborne multispectral video image collection and processing method | |
| JP6611435B2 (en) | Abnormality detection system for photovoltaic power generation facilities | |
| CN111358359A (en) | Line avoiding method and device for robot, chip and sweeping robot | |
| CN115512290A (en) | Photovoltaic panel efficiency monitoring method and system based on image recognition technology | |
| CN101527793A (en) | Dynamic image picturing method for preventing environmental light interference and system thereof | |
| CN107102536A (en) | A kind of dust-proof automatic control system of transformation cabinet | |
| CN113031386B (en) | Abnormality detection method, device, equipment and medium for double-filter switcher | |
| CN209056772U (en) | A kind of low-voltage reactive compensator dust removal heat-dissipating casing | |
| CN111521222A (en) | Handcart-type cubical switchboard switch state monitoring devices | |
| CN102866165A (en) | Surface defect detecting device of hardware | |
| EP2187621A2 (en) | Apparatus and method for processing image | |
| CN111029930B (en) | Switch board convenient to control | |
| CN107196219B (en) | A kind of dust-proof control method of intelligence high-low pressure transformation cabinet and system |
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: 20170929 |
|
| RJ01 | Rejection of invention patent application after publication |