CN108877207A - A kind of road traffic situation Online Video judgement system - Google Patents
A kind of road traffic situation Online Video judgement system Download PDFInfo
- Publication number
- CN108877207A CN108877207A CN201710320156.1A CN201710320156A CN108877207A CN 108877207 A CN108877207 A CN 108877207A CN 201710320156 A CN201710320156 A CN 201710320156A CN 108877207 A CN108877207 A CN 108877207A
- Authority
- CN
- China
- Prior art keywords
- communication
- traffic
- online video
- control
- road traffic
- 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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/087—Override of traffic control, e.g. by signal transmitted by an emergency vehicle
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
Abstract
The invention discloses a kind of road traffic situation Online Video judgement systems, can traffic video be analyzed and be detected, to improve the flexibility and completeness of Video Remote monitoring.The system combines the cloud computing technology for possessing bulk information high treatment capacity, feature learning, the layered characteristic of the depth of investigation study extract highly effective algorithm, the real-time monitored using Online Video, according to the training of huge traffic data resource, input video treated picture sample again, the road traffic situation Online Video judgement system based on deep learning is designed, to realize the optimum management to urban traffic flow.
Description
Technical field
The present invention relates to video monitoring methods, are specifically related to a kind of road traffic situation Online Video judgement system.
Background technique
With generally existing, China city the phenomenon that vehicles number sharp increase and urban highway traffic Computer method
Road traffic safety situation sharply deteriorates, and traffic accident occurs again and again.Urban Road Traffic Accidents directly affect and restrict city
The development of city's Road Transportation seriously threatens the safety of life and property of the people.Therefore urban road traffic safety is improved
Performance reduces traffic accident, objectively should make corresponding assessment to urban highway traffic situation first, proposition is targetedly located
Reason scheme reinforces traffic control, and then improves urban highway traffic environment.China different regions and department hand in road at this stage
The method for having carried out certain research work in terms of on-state gesture, but artificial selection feature being usually taken, is all algorithm personnel at certain
Under the premise of kind is assumed, specific set of data is found in the expression of a certain level, this expression has serious uncertainty.
In recent years, deep learning speech recognition, image recognition, natural language processing etc. application in achieve it is significant at
Effect.But in security industry, deep learning is at the early-stage.The author notices that many security protection enterprises start to put into resource
Develop algorithm, product based on depth learning technology.Deep learning active influence security protection enterprise, affect intelligent video analysis skill
Art.
Vehicle detection mode based on Video Supervision Technique have developed rapidly in recent years, and since it has, detection zone is big, is
System setting flexibly waits prominent advantage, it has also become a research hotspot of intelligent transport system field.Video Supervision Technique is to hand over
Way system provides intuitive, convenient analysis means, therefore the video monitor based on video image processing, analysis, understanding
Technology increasingly attracts people's attention.
Summary of the invention
In view of the deficiencies of the prior art, differentiate the object of the present invention is to provide a kind of road traffic situation Online Video and be
System, can be analyzed and be detected to traffic video, to improve the flexibility and completeness of Video Remote monitoring.The system knot
The cloud computing technology for possessing bulk information high treatment capacity is closed, feature learning, the layered characteristic of the depth of investigation study extract high
Imitate algorithm, using Online Video monitor real-time, according to huge traffic data resource training, then input video treated figure
Piece sample designs the road traffic situation Online Video judgement system based on deep learning, to realize to urban traffic flow
Optimum management.
The purpose of the present invention is achieved through the following technical solutions:In order to solve the above technical problems, skill of the invention
Art scheme is:A kind of road traffic situation Online Video judgement system, the system comprises in cloud storage and calculating section, control
The heart and communication system;The control centre connect with cloud storage and calculating section and communication system respectively;The communication
System is connect with vehicle detection, crossing control, floor manager and video monitoring respectively.
The control centre includes Beidou communication, GSM/GPRS, control processing, cloud system;At the cloud system and control
Reason connection, the control processing are connect with Beidou communication, GSM/GPRS respectively.
The communication system includes Beidou communication, GSM/GPRS data communication, main control singlechip and ZigBee communication;Institute
It states ZigBee communication to connect with main control singlechip, the main control singlechip connection is logical with Beidou communication, GSM/GPRS data respectively
Letter connection.
The system is believed the magnanimity of City road traffic system by various means of communication in cloud storage and calculating section
Breath, including road network information, telecommunication flow information, traffic information, control information etc., in storage to network, just constitute traffic information
Cloud.Cloud computing has huge storage capacity, efficient computing capability, powerful equally loaded ability etc., can be unlimitedly
Realize the processing of mass traffic information, analysis, publication and shared, so for traffic management department and traveler provide it is real-time, can
The service leaned on.And additionally provide many algorithms support transport data processing, as deep learning, video detection, traffic guidance and
Signalized control etc..Deep learning module mainly realizes vehicle location function;Video detection mainly realizes that real-time monitoring tracks vehicle
, to obtain the key parameter of road traffic, road traffic situation is differentiated with this.It then mainly completes most traffic guidance part
Shortest path planning, comprehensively considers people, vehicle, road, realizes reasonable distribution of the traffic flow in road network;Signalized control is mainly
According to real-time road condition information, the time span of control signal lamp is adjusted, prevents or reduces vehicle in the residence time of road.
The software configuration of control centre includes four parts:Beidou data processing, GSM/GPRS data processing, information classification
Processing, cloud system data communication.Control centre is collected by Big Dipper short message or GMS/GPRS reception field control part
Data, the data after classification processing are sent to cloud server and carry out data storage and calculating.Cloud server is by calculated result
Control centre is returned to, control centre, which generates analysis result, to be ordered and be sent to field control part.Such as:Driver
Plan of travel is provided to control centre, user classifies according to the user demand in plan of travel in control centre, and will divide
Category information sends the path planning and control algolithm in cloud to.In the process of moving, control centre is in real time to path planning and control
Algorithm processed provides the information such as vehicle location.Control centre's RX path planning information and the vehicle drive for being supplied to control section
Member.
Communication part mainly completes the transformation task of information, mainly includes three parts.
(1)Based on the distinctive short message function of Beidou, which is the technology that GPS does not have.So-called short message
It can directly be carried out by satellite-signal before referring to satellite positioning-terminal and big-dipper satellite or Beidou ground support system two-way
Information transmitting, GPS can only unidirectional delivery(Terminal is from satellite reception position signal).Short message means more efficiency information biography
It passs, such as in the case where common mobile communication signal cannot cover(Such as communication base station is destroyed after earthquake disaster),
Beidou terminal can carry out emergency communication etc. by short message.In Beidou Navigation System, Big Dipper short message module ratio hand
Many advantages, such as writing short message has better instantaneity, is adapted to various environment, has simply, convenient, fast, true to nature, safe
Operation.
(2)GSM/GPRS as auxiliary communication channel is used for alternate channel.This is automatically gone to when satellite communication is obstructed
Mode transmits information.
(3)RFID communication realizes the identification to VIP/SVIP vehicle, serves the fast passing of special duty vehicle.
Field control part includes vehicle/VIP vehicle control, crossing control, auxiliary field control personnel, video acquisition four
Aspect.
Vehicle driver can send plan of travel, accident information by Big Dipper short message, receive planning path, neighbouring road
The traffic information etc. on road.VIP vehicle(Emergency tender, police car, bus etc.)Compared with there is higher right-of-way, road of holding sway goes out
When existing VIP vehicle, its surrounding vehicles is induced, its priority pass is made.SVIP vehicle has highest right-of-way,
Other vehicles should be induced in road, to guarantee its right-of-way.
The traffic lights timing revision of option trigger signal that traffic lights are provided according to communication part, traffic guiding board then exist
Crossing shows the degree of crowding of surrounding road, for driver's decision trip route.Traffic lights is controlled, with balanced traffic
Flow and avoid traffic congestion.In following traffic circulation, demand is sent to calculating section by Beidou platform by driver.Meter
It calculates part to classify to it according to user demand, is that user volume body formulates trip route according to type.This mode more human nature
Change, is easier to reach user demand, greatly promotes the driver's quantity for receiving path planning.The driver for receiving path planning gets over
More, traffic administration person is more comprehensive to the grasp of traffic condition, is more conducive to path planning and the control of traffic system, finally reaches
To the global optimum of traffic system.
For the congestion regions dredged at present by traffic police, control centre can be by radio station by current region
Traffic condition is sent to traffic police.Exchange of information includes the vehicle number of congestion, the jam situation at upper a crossing and next crossing, convenient
Traffic police, which takes, more reasonably dredges commander.
Video is handled video file compression by road monitoring equipment real-time monitoring condition of road surface, and by processing module
Later, cloud storage and calculating section are sent to by communication system, complete the real-time monitoring of Online Video and calculate analysis, finally
Realize that the situation of road traffic differentiates.
Beneficial effects of the present invention:A kind of road traffic situation Online Video judgement system provided by the invention, can be right
Traffic video is analyzed and is detected, to improve the flexibility and completeness of Video Remote monitoring.The system, which combines, possesses Pang
The cloud computing technology of big efficient information processing capacity, feature learning, the layered characteristic of the depth of investigation study extract highly effective algorithm, benefit
With the real-time of online video surveillance, according to the training of huge traffic data resource, then input video treated picture sample, if
The road traffic situation Online Video judgement system based on deep learning is counted, to realize the optimum management to urban traffic flow.
The present invention will be described in detail combined with specific embodiments below.Protection scope of the present invention is not with specific implementation
Mode is limited, but is defined in the claims.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of road traffic situation Online Video judgement system of the invention;
Fig. 2 is a kind of structural schematic diagram of the control centre of road traffic situation Online Video judgement system of the invention;
Fig. 3 is a kind of structural schematic diagram of the communication system of road traffic situation Online Video judgement system of the invention;
Specific embodiment
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
As shown in Figure 1, a kind of road traffic situation Online Video judgement system of the present embodiment,
The road traffic situation Online Video judgement system is in cloud storage and calculating section by various means of communication by city
Massive information of road traffic system, including road network information, telecommunication flow information, traffic information, control information etc., network is arrived in storage
On, just constitute traffic information cloud.Cloud computing has huge storage capacity, efficient computing capability, powerful equally loaded
Ability etc. can unlimitedly realize the processing of mass traffic information, analysis, publication and shared, and then be traffic management department
It provides with traveler and in real time, reliably services.And additionally provide many algorithms support transport data processing, as deep learning,
Video detection, traffic guidance and Signalized control etc..Deep learning module mainly realizes vehicle location function;Video detection is main
It realizes that real-time monitoring tracks vehicle, to obtain the key parameter of road traffic, road traffic situation is differentiated with this.Traffic lures
It leads part and then mainly completes optimum path planning, comprehensively consider people, vehicle, road, realize reasonable point of traffic flow in road network
Match;Signalized control mainly according to real-time road condition information, adjusts the time span of control signal lamp, prevents or reduces vehicle and exist
The residence time of road.
The software configuration of control centre includes four parts:Beidou data processing, GSM/GPRS data processing, information classification
Processing, cloud system data communication.Control centre is collected by Big Dipper short message or GMS/GPRS reception field control part
Data, the data after classification processing are sent to cloud server and carry out data storage and calculating.Cloud server is by calculated result
Control centre is returned to, control centre, which generates analysis result, to be ordered and be sent to field control part.Its architecture
For example such as Fig. 3:Driver provides plan of travel to control centre, and control centre will use according to the user demand in plan of travel
Family is classified, and classification information is sent to the path planning and control algolithm in cloud.In the process of moving, control centre is real
When to path planning and control algolithm provide the information such as vehicle location.Control centre's RX path planning information is simultaneously supplied to control
Partial vehicle driver.
Communication part mainly completes the transformation task of information, mainly includes three parts.
(1)Based on the distinctive short message function of Beidou, which is the technology that GPS does not have.So-called short message
It can directly be carried out by satellite-signal before referring to satellite positioning-terminal and big-dipper satellite or Beidou ground support system two-way
Information transmitting, GPS can only unidirectional delivery(Terminal is from satellite reception position signal).Short message means more efficiency information biography
It passs, such as in the case where common mobile communication signal cannot cover(Such as communication base station is destroyed after earthquake disaster),
Beidou terminal can carry out emergency communication etc. by short message.In Beidou Navigation System, Big Dipper short message module ratio hand
Many advantages, such as writing short message has better instantaneity, is adapted to various environment, has simply, convenient, fast, true to nature, safe
Operation.
(2)GSM/GPRS as auxiliary communication channel is used for alternate channel.This is automatically gone to when satellite communication is obstructed
Mode transmits information.
(3)RFID communication realizes the identification to VIP/SVIP vehicle, serves the fast passing of special duty vehicle.
Field control part includes vehicle/VIP vehicle control, crossing control, auxiliary field control personnel, video acquisition four
Aspect.
Vehicle driver can send plan of travel, accident information by Big Dipper short message, receive planning path, neighbouring road
The traffic information etc. on road.VIP vehicle(Emergency tender, police car, bus etc.)Compared with there is higher right-of-way, road of holding sway goes out
When existing VIP vehicle, its surrounding vehicles is induced, its priority pass is made.SVIP vehicle has highest right-of-way,
Other vehicles should be induced in road, to guarantee its right-of-way.
The traffic lights timing revision of option trigger signal that traffic lights are provided according to communication part, traffic guiding board then exist
Crossing shows the degree of crowding of surrounding road, for driver's decision trip route.Traffic lights is controlled, with balanced traffic
Flow and avoid traffic congestion.In following traffic circulation, demand is sent to calculating section by Beidou platform by driver.Meter
It calculates part to classify to it according to user demand, is that user volume body formulates trip route according to type.This mode more human nature
Change, is easier to reach user demand, greatly promotes the driver's quantity for receiving path planning.The driver for receiving path planning gets over
More, traffic administration person is more comprehensive to the grasp of traffic condition, is more conducive to path planning and the control of traffic system, finally reaches
To the global optimum of traffic system.
For the congestion regions dredged at present by traffic police, control centre can be by radio station by current region
Traffic condition is sent to traffic police.Exchange of information includes the vehicle number of congestion, the jam situation at upper a crossing and next crossing, convenient
Traffic police, which takes, more reasonably dredges commander.
Video is handled video file compression by road monitoring equipment real-time monitoring condition of road surface, and by processing module
Later, cloud storage and calculating section are sent to by communication system, complete the real-time monitoring of Online Video and calculate analysis, finally
Realize that the situation of road traffic differentiates.
Applicant's statement, the above embodiment of the present invention is merely to clearly illustrate examples made by the present invention, and be not
Restriction to embodiments of the present invention.
Claims (6)
1. a kind of road traffic situation Online Video judgement system, which is characterized in that the system comprises cloud storage and calculation parts
Point, control centre and communication system;The control centre connect with cloud storage and calculating section and communication system respectively;
The communication system is connect with vehicle detection, crossing control, floor manager and video monitoring respectively.
2. a kind of road traffic situation Online Video judgement system according to claim 1, which is characterized in that the control
Center includes Beidou communication, GSM/GPRS, control processing, cloud system;The cloud system and control processing connect, at the control
Reason is connect with Beidou communication, GSM/GPRS respectively.
3. a kind of road traffic situation Online Video judgement system according to claim 2, which is characterized in that the control
Center receives field control part data collected by Beidou communication or GMS/GPRS, and the data after classification processing are sent to
Cloud storage carries out data storage and calculating.
4. a kind of road traffic situation Online Video judgement system according to claim 1, which is characterized in that the communication
System includes Beidou communication, GSM/GPRS data communication, main control singlechip and ZigBee communication;The ZigBee communication and master
Single-chip microcontroller connection is controlled, the main control singlechip connection is connect with Beidou communication, GSM/GPRS data communication respectively.
5. a kind of road traffic situation Online Video judgement system according to claim 4, which is characterized in that the GSM/
GPRS data communication is used as spare communication channel.
6. a kind of road traffic situation Online Video judgement system according to claim 4, which is characterized in that the Beidou
Communication directly can carry out two-way information by satellite-signal and transmit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710320156.1A CN108877207A (en) | 2017-05-09 | 2017-05-09 | A kind of road traffic situation Online Video judgement system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710320156.1A CN108877207A (en) | 2017-05-09 | 2017-05-09 | A kind of road traffic situation Online Video judgement system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108877207A true CN108877207A (en) | 2018-11-23 |
Family
ID=64287484
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710320156.1A Pending CN108877207A (en) | 2017-05-09 | 2017-05-09 | A kind of road traffic situation Online Video judgement system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108877207A (en) |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101720026A (en) * | 2009-11-04 | 2010-06-02 | 厦门蓝斯通信有限公司 | Vehicle monitoring device |
CN102081848A (en) * | 2009-11-27 | 2011-06-01 | 西安费斯达自动化工程有限公司 | System for automatically monitoring illegally-parking vehicles and compressed transmission based on field programmable gate array (FPGA) |
CN202306832U (en) * | 2011-10-16 | 2012-07-04 | 陈连娣 | Traffic isolation system |
CN102663887A (en) * | 2012-04-13 | 2012-09-12 | 浙江工业大学 | Implementation system and method for cloud calculation and cloud service of road traffic information based on technology of internet of things |
CN103065459A (en) * | 2011-10-18 | 2013-04-24 | 上海宝康电子控制工程有限公司 | Intelligent transportation integration control platform system based on Web geographical information system technology |
CN103593973A (en) * | 2012-12-18 | 2014-02-19 | 北京科技大学 | Urban road traffic situation assessment system |
CN103745612A (en) * | 2014-01-13 | 2014-04-23 | 浙江宇视科技有限公司 | Vehicle-mounted terminal and intelligent traffic management device capable of realizing real-time interaction with same |
CN103854473A (en) * | 2013-12-18 | 2014-06-11 | 招商局重庆交通科研设计院有限公司 | Intelligent traffic system |
CN104240524A (en) * | 2014-10-17 | 2014-12-24 | 天津通翔智能交通系统有限公司 | Road traffic signal controller, control system and control method |
CN105225500A (en) * | 2015-08-20 | 2016-01-06 | 青岛海信网络科技股份有限公司 | A kind of traffic control aid decision-making method and device |
CN105894831A (en) * | 2016-05-12 | 2016-08-24 | 郑永春 | Intelligent traffic control device |
CN106412049A (en) * | 2016-09-26 | 2017-02-15 | 北京东土科技股份有限公司 | Intelligent traffic cloud control system |
-
2017
- 2017-05-09 CN CN201710320156.1A patent/CN108877207A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101720026A (en) * | 2009-11-04 | 2010-06-02 | 厦门蓝斯通信有限公司 | Vehicle monitoring device |
CN102081848A (en) * | 2009-11-27 | 2011-06-01 | 西安费斯达自动化工程有限公司 | System for automatically monitoring illegally-parking vehicles and compressed transmission based on field programmable gate array (FPGA) |
CN202306832U (en) * | 2011-10-16 | 2012-07-04 | 陈连娣 | Traffic isolation system |
CN103065459A (en) * | 2011-10-18 | 2013-04-24 | 上海宝康电子控制工程有限公司 | Intelligent transportation integration control platform system based on Web geographical information system technology |
CN102663887A (en) * | 2012-04-13 | 2012-09-12 | 浙江工业大学 | Implementation system and method for cloud calculation and cloud service of road traffic information based on technology of internet of things |
CN103593973A (en) * | 2012-12-18 | 2014-02-19 | 北京科技大学 | Urban road traffic situation assessment system |
CN103854473A (en) * | 2013-12-18 | 2014-06-11 | 招商局重庆交通科研设计院有限公司 | Intelligent traffic system |
CN103745612A (en) * | 2014-01-13 | 2014-04-23 | 浙江宇视科技有限公司 | Vehicle-mounted terminal and intelligent traffic management device capable of realizing real-time interaction with same |
CN104240524A (en) * | 2014-10-17 | 2014-12-24 | 天津通翔智能交通系统有限公司 | Road traffic signal controller, control system and control method |
CN105225500A (en) * | 2015-08-20 | 2016-01-06 | 青岛海信网络科技股份有限公司 | A kind of traffic control aid decision-making method and device |
CN105894831A (en) * | 2016-05-12 | 2016-08-24 | 郑永春 | Intelligent traffic control device |
CN106412049A (en) * | 2016-09-26 | 2017-02-15 | 北京东土科技股份有限公司 | Intelligent traffic cloud control system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Javaid et al. | Smart traffic management system using Internet of Things | |
CN107274667A (en) | Urban transportation intelligence managing and control system networking joint control framework and implementation | |
Liu et al. | Design of traffic emergency response system based on internet of things and data mining in emergencies | |
CN106993259A (en) | Data processing equipment and vehicular communication unit | |
US20230389065A1 (en) | Systems and methods for traffic priority systems | |
CN107665578A (en) | Management and control system and method is integrated based on the traffic that big data is studied and judged | |
CN111862606A (en) | Illegal operating vehicle identification method based on multi-source data | |
CN110060484A (en) | A kind of real-time early warning system and method violating the regulations of the highway passenger transportation based on block chain | |
Dubey et al. | Internet of Things based adaptive traffic management system as a part of Intelligent Transportation System (ITS) | |
CN107567005A (en) | Car networking vehicle abnormality behavioral value method and system based on artificial immune system | |
WO2022142753A1 (en) | Aggregation risk determination method and apparatus, computer-readable medium, and electronic device | |
CN103208194A (en) | Urban traffic signal cooperative control system | |
DE102019104309A1 (en) | TRAFFIC MANAGEMENT SYSTEM, COMPONENTS OF A DISTRIBUTED TRAFFIC MANAGEMENT SYSTEM, PRIORITY / LOAD DISTRIBUTION SYSTEM AND METHOD THEREFOR | |
CN108564791A (en) | Information processing method, device and computing device | |
CN105957370A (en) | QoE-based traffic scheduling big data system and method | |
CN106710209A (en) | Detecting and verifying method and system for traffic accidents during large-scale activities | |
CN104616236A (en) | Police handheld multifunctional device | |
Mahalakshmi et al. | Adaptive ambulance monitoring system using IOT | |
Divyaprabha et al. | A comparative study on road safety problems | |
CN108877207A (en) | A kind of road traffic situation Online Video judgement system | |
US20200357279A1 (en) | System and method of advanced traffic management | |
Saini et al. | Advancement of traffic management system using RFID | |
Radhika et al. | An intelligent IoT Enabled Traffic queue handling System Using Machine Learning Algorithm | |
CN208969841U (en) | A kind of mobile bayonet | |
Makhloga | IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181123 |