CN109359628A - A kind of exhibition big data collection analysis platform - Google Patents
A kind of exhibition big data collection analysis platform Download PDFInfo
- Publication number
- CN109359628A CN109359628A CN201811432857.5A CN201811432857A CN109359628A CN 109359628 A CN109359628 A CN 109359628A CN 201811432857 A CN201811432857 A CN 201811432857A CN 109359628 A CN109359628 A CN 109359628A
- Authority
- CN
- China
- Prior art keywords
- module
- analysis
- data
- exhibition
- line
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of exhibition big data collection analysis platforms, including acquisition system under acquisition system on line and line, acquisition system includes video acquisition module and audio collection module on line, video acquisition module side is connected with limb action identification module, Visitor Route analysis identification module, Analysis of age identification module, gender analysis identification module, residence time analysis identification module and human facial expression recognition module, audio collection module side in turn and is connected with speech recognition module.Thus platform can obtain human face expression, limb action, ages, in the residence time of each exhibition item, Visitor Route etc. data.Auxiliary can expand the covering surface for collecting data with conventional information acquiring pattern.Data more can precisely grab the sight exhibition track of user on line, provide the data reference in more exhibition later periods for exhibition and fair service quotient.It analyzes and excavates for later data and practical data foundation is provided, can really realize that precision marketing provides data and supports for sales department.
Description
Technical field
The present invention relates to technical field of computer information processing, it particularly relates to a kind of exhibition big data collection analysis
Platform.
Background technique
It is well-known with other that big data has become in recent years most of professional game rule, professional head, scholar
Stakeholder agree on this point, persistently penetrated into big data in our daily life, around the stir-fry of big data
Practice is being turned to embody its true value.Most of companies have been intended to several big data projects, the head of company
Wanting policy is that enhancing client knows from experience, but other policies include to reduce cost, make existing procedure more efficiently, the most fundamental purpose is
More targetedly market.In exhibition display industry, the application of big data unlike the big datas hot topic such as financial IT industry that
Sample is like a raging fire, and development is also in the primary stage, and the exhibition item that many is related to big data is also merely resting on data displaying level,
There are no the potentiality of the real big data for excavating display and demonstration industry.When industry is related to big data, it would be desirable to which solution is asked
Topic is in big data with the presence or absence of true value.
" other industry is compared, it is inadequate that exhibition industry with big data merges depth." deposited in New technical use, Internet application
In hysteresis, operation mode innovation is slow.
Firstly, the acquisition content of the big data of exhibition at present is single.The so-called big data of exhibitions industry is to pass through tracer technique
A spectators are recorded in the action trail of entire exhibition, serve commerce and trade pairing to carry out precision marketing, alternatively, by venue
A large amount of camera is installed on periphery, to discongest traffic, alleviate congestion.This is enough to illustrate that exhibitions big data precision marketing is still in
The primary stage of cognition and application.
Secondly, the technology and data abstraction techniques lag of data acquisition.The data acquired in exhibition are mostly simple prison
Video is controlled, data screening and refinement are not done to it, or obtain exhibitor to the anti-of exhibition item by traditional pattern register
Feedback, collecting efficiency and data are of low quality.
Finally, being based on the above two o'clock, exhibition big data rests on a quite primary level, can not mention for data analysis
For effectively supporting, so that the cleverest housewife can't cook a meal without rice, it is extremely limited to the application role of big data in the industry.
For the problems in the relevant technologies, currently no effective solution has been proposed.
Summary of the invention
The purpose of the present invention is to provide a kind of exhibition big data collection analysis platforms, to solve to mention in above-mentioned background technique
Out the problem of.
To achieve the above object, the invention provides the following technical scheme:
A kind of exhibition big data collection analysis platform, including acquisition system under acquisition system and line on line are adopted on the line
Collecting system includes video acquisition module and audio collection module, and the video acquisition module side is connected with limb action knowledge in turn
Other module, Visitor Route analysis identification module, Analysis of age identification module, gender analysis identification module, residence time analysis are known
Other module and human facial expression recognition module, the audio collection module side are connected with speech recognition module, the facial expression
Identification module is connected with the speech recognition module, and, the limb action identification module, Visitor Route analysis identification mould
Block, Analysis of age identification module, gender analysis identification module, residence time analysis identification module, human facial expression recognition module and
Speech recognition module is connected with monitoring central server, and the monitoring central server is equipped with audio playing module, institute
Monitoring central server is stated respectively with background data base and analysis system phase downlink connection, is adopted under the background data base and the line
Collecting system is connected, and acquisition system includes questionnaire survey module and visit logging modle, the questionnaire survey module under the line
It is connected with background data base with logging modle is visited, the analysis system is connected with private database and display.
Further, the analysis system integrates the data of acquisition system under acquisition system and line on line, to video acquisition
Module and the data of audio collection module acquisition carry out industry related interests point and extract screening, are handled by big data common
Four-dimensional analytic approach is analyzed.
Further, the video acquisition module is RGB industrial camera.
Further, the audio collection module is shotgun microphone.
Further, the questionnaire survey module can acquire visitor's occupation and hobby.
In conclusion the invention has the benefit that the present invention can be adopted accurately using artificial intelligence real-time detection technology
Collect real-time interactive data in addition to routine data and visitor to the feedback data of exhibition item, and data analysis is provided and shows one
Series matching system is quoted from excavating to showing for exhibition big data and provides platform:
The acquisition mode of exhibition big data collection analysis platform first is most important except picture in addition to conventional video
Be joined a variety of monitoring identification technologies based on artificial intelligence to above-mentioned initial data carry out " refining ", therefrom acquisition and industry
Relevant data of interest.Such as when visitor's viewing, participating in exhibition item, the gender of visitor can be obtained in real time, year age grade
Layer, real-time expression etc., thus platform can obtain human face expression, limb action, ages, in the residence time of each exhibition item,
Visitor Route etc. data.Auxiliary can expand the covering for collecting data with conventional information acquiring pattern (such as occupation etc.)
Face.
Secondly exhibition platform uses on-line off-line combination, and online and offline exhibition big data is combined, into
The potentiality of the excavation exhibition big data of one step.Data on line do not have region limitation, can industrial chain related with exhibitions, point
Category information is all included into, imagination here be it is unlimited, the data on line break through traditional restraint of trade, multiple industries
The superposition of data constitutes a part reference of Chinese Economy Development situation big data, and data more can precisely grab user's on line
Exhibition track is seen, provides the data reference in more exhibition later periods for exhibition and fair service quotient.
In addition, this platform also provides exhibition relevant analytic function, collected data are refined, are screened, statistics
Deng interested information being obtained, for example those exhibition items attract the visitor of those ages, in the unit time before those exhibition items
The personnel to stop are most, and the feedback data of visitor's expression what state etc. preciousness when interacting with those exhibition items is
Later data analysis and excavation provide practical data foundation, can really realize that precision marketing provides data branch for sales department
It holds.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of system diagram of exhibition big data collection analysis platform according to an embodiment of the present invention.
Appended drawing reference:
1, acquisition system on line;2, acquisition system under line;3, video acquisition module;4, audio collection module;5, limbs are dynamic
Make identification module;6, Visitor Route analyzes identification module;7, Analysis of age identification module;8, gender analysis identification module;9, stop
Identification module in time analysis;10, human facial expression recognition module;11, speech recognition module;12, monitoring central server;13,
Audio playing module;14, background data base;15, analysis system;16, questionnaire survey module;17, logging modle is visited;18, specially
Use database;19, display.
Specific embodiment
In the following, making further description to invention in conjunction with attached drawing and specific embodiment:
A kind of Fig. 1 exhibition big data collection analysis platform according to an embodiment of the present invention is please referred to, including acquires system on line
Acquisition system 2 under system 1 and line, acquisition system 1 includes video acquisition module 3 and audio collection module 4, the video on the line
3 side of acquisition module is connected with limb action identification module 5, Visitor Route analysis identification module 6, Analysis of age identification mould in turn
Block 7, gender analysis identification module 8, residence time analysis identification module 9 and human facial expression recognition module 10, the audio collection
4 side of module is connected with speech recognition module 11, and the human facial expression recognition module 10 is connected with the speech recognition module 11
It connects, and, the limb action identification module 5, Visitor Route analyze identification module 6, Analysis of age identification module 7, gender analysis
Identification module 8, residence time analysis identification module 9, human facial expression recognition module 10 and speech recognition module 11 are and in monitoring
Central server 12 is connected, and the monitoring central server 12 is equipped with audio playing module 13, the monitoring central server
12 respectively with 15 phase downlink connection of background data base 14 and analysis system, the background data base 14 and acquisition system 2 under the line
It is connected, acquisition system 2 includes questionnaire survey module 16 and visit logging modle 17, the questionnaire survey module 16 under the line
It is connected with background data base 14 with logging modle 17 is visited, the analysis system 15 and private database 18 and display 19
It is connected.
Above scheme through the invention, exhibition big data collection analysis platform are carried out by on-line off-line acquisition mode
Data acquisition, covers more field and aspect as far as possible;Using artificial intelligence to data on collected actual time line at
Reason, such as expression, limbs behavior are stopped time etc., and certain individuation datas are matched with visitor, save input
Background data base;The relevant data of industry are carried out using four-dimensional analytic approach using big data algorithm to collected data to extract,
Screening is excavated, statistics, and result is saved in private database;Result data is arranged and shown, output form packet
Include: real-time venue stream of people's thermodynamic chart, real-time expression of each exhibition item volume of the flow of passengers real-time statistics figure visitor when participating in exhibition item are anti-
Feedback, age, gender data distribution and later period are added the report etc. of visitor's occupation hobby statistics, and can by table,
Picture, and exported by forms such as the reports of customer requirement customization, associated mechanisms are provided or personnel use.
In a particular application, for analysis system 15, the analysis system 15 is integrated on line under acquisition system 1 and line
The data of acquisition system 2 carry out industry related interests point to the data that video acquisition module 3 and audio collection module 4 acquire and mention
Screening is taken, is analyzed by the common four-dimensional analytic approach that big data is handled.Wherein four-dimensional analytic approach:
1, describe type analysis: in business, this method provides the measurement of important indicator and business to Data Analyst
Method.Such as by the way that visitor, expression feedback data summarizes in exhibition item, it can be deduced that the feedback of " happiness " in the exhibition item
Data accounting;
2, diagnose type analysis: the next step of descriptive data analysis is exactly the analysis of diagnosis type data.By assessing description type
Data, diagnostic analysis tool can allow Data Analyst in depth to analyze data, get the core of data by drilling.It is obtained obtaining exhibition item
After " happiness " the feedback data accounting obtained, by the way that this is anti-with the data acquisitions such as Expression analysis while the gender acquired, age supposition
Participant's gender of feedback and the distribution of ages are further analysis exhibition item to the interest of the attraction of the group and the group
Foundation is provided;
3, predict type analysis: prediction type analysis is mainly used for being predicted.A possibility that event future occurs, prediction one
Quantifiable value.After obtaining the diagnostic result analyzed and analysed in depth to data, so that it may predict which type of is puted on display
Attraction of the project to different groups;
4, type analysis is instructed: the method that instruction type analysis is not single use, but all methods of front all complete it
Afterwards, the analysis method for finally needing to complete.Such as it can be according to above-mentioned analysis as a result, in conjunction with different exhibitions in this stage
Purpose targetedly screens exhibiter, and the data mining team data for profession carry out demand excavation and service is pre-
It surveys and foundation is provided, build two-win, even many-sided situation made a profit.
In addition, above data and analysis result are also the data accumulation of artificial intelligence big data analysis from now on, after being
Exhibition big data forms industrialization and prepares, and data analysis at present still uses based on traditional approach, supplemented by artificial intelligence analysis,
Mainly analyzed by Data Analyst, result by for the later period plan be added artificial intelligence analysis based on analysis system do
Data reserve;
For video acquisition module 3, the video acquisition module 3 is RGB industrial camera (1920x1080 EIA
30fps).For audio collection module 4, the audio collection module 4 is shotgun microphone (SR-M3).For questionnaire tune
It looks into for module 16, the questionnaire survey module 16 can acquire visitor's occupation and hobby.
In conclusion the present invention uses artificial intelligence real-time detection technology by means of above-mentioned technical proposal of the invention, it can
Accurately to acquire real-time interactive data in addition to routine data and visitor to the feedback data of exhibition item, and provide data analysis
With a series of corollary systems of displaying, is quoted from excavating to showing for exhibition big data and platform is provided:
The acquisition mode of exhibition big data collection analysis platform first is most important except picture in addition to conventional video
Be joined a variety of monitoring identification technologies based on artificial intelligence to above-mentioned initial data carry out " refining ", therefrom acquisition and industry
Relevant data of interest.Such as when visitor's viewing, participating in exhibition item, the gender of visitor can be obtained in real time, year age grade
Layer, real-time expression etc., thus platform can obtain human face expression, limb action, ages, in the residence time of each exhibition item,
Visitor Route etc. data.Auxiliary can expand the covering for collecting data with conventional information acquiring pattern (such as occupation etc.)
Face.
Secondly exhibition platform uses on-line off-line combination, and online and offline exhibition big data is combined, into
The potentiality of the excavation exhibition big data of one step.Data on line do not have region limitation, can industrial chain related with exhibitions, point
Category information is all included into, imagination here be it is unlimited, the data on line break through traditional restraint of trade, multiple industries
The superposition of data constitutes a part reference of Chinese Economy Development situation big data, and data more can precisely grab user's on line
Exhibition track is seen, provides the data reference in more exhibition later periods for exhibition and fair service quotient.
In addition, this platform also provides exhibition relevant analytic function, collected data are refined, are screened, statistics
Deng interested information being obtained, for example those exhibition items attract the visitor of those ages, in the unit time before those exhibition items
The personnel to stop are most, and the feedback data of visitor's expression what state etc. preciousness when interacting with those exhibition items is
Later data analysis and excavation provide practical data foundation, can really realize that precision marketing provides data branch for sales department
It holds.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (5)
1. a kind of exhibition big data collection analysis platform, which is characterized in that including acquisition system under acquisition system on line (1) and line
(2), acquisition system (1) includes video acquisition module (3) and audio collection module (4), the video acquisition module on the line
(3) side is connected with limb action identification module (5), Visitor Route analysis identification module (6), Analysis of age identification module in turn
(7), gender analysis identification module (8), residence time analysis identification module (9) and human facial expression recognition module (10), the sound
Frequency acquisition module (4) side is connected with speech recognition module (11), and the human facial expression recognition module (10) and the voice are known
Other module (11) is connected, and, the limb action identification module (5), Visitor Route analyze identification module (6), Analysis of age
Identification module (7), gender analysis identification module (8), residence time analyze identification module (9), human facial expression recognition module (10)
It is connected with monitoring central server (12) with speech recognition module (11), the monitoring central server (12) is equipped with sound
Frequency playing module (13), the monitoring central server (12) respectively with background data base (14) and analysis system (15) mutually repeatedly
It connects, the background data base (14) is connected with acquisition system (2) under the line, and acquisition system (2) includes questionnaire under the line
Inquiry module (16) and visit logging modle (17), the questionnaire survey module (16) and visit logging modle (17) and from the background
Database (14) is connected, and the analysis system (15) is connected with private database (18) and display (19).
2. a kind of exhibition big data collection analysis platform stated according to claim 1, which is characterized in that the analysis system (15)
The data for integrating acquisition system (2) under acquisition system on line (1) and line, to video acquisition module (3) and audio collection module (4)
The data of acquisition carry out industry related interests point and extract screening, are divided by the common four-dimensional analytic approach that big data is handled
Analysis.
3. a kind of exhibition big data collection analysis platform stated according to claim 1, which is characterized in that the video acquisition module
It (3) is RGB industrial camera.
4. a kind of exhibition big data collection analysis platform stated according to claim 1, which is characterized in that the audio collection module
It (4) is shotgun microphone.
5. a kind of exhibition big data collection analysis platform stated according to claim 1, which is characterized in that the questionnaire survey module
(16) visitor's occupation and hobby can be acquired.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811432857.5A CN109359628A (en) | 2018-11-28 | 2018-11-28 | A kind of exhibition big data collection analysis platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811432857.5A CN109359628A (en) | 2018-11-28 | 2018-11-28 | A kind of exhibition big data collection analysis platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109359628A true CN109359628A (en) | 2019-02-19 |
Family
ID=65343350
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811432857.5A Pending CN109359628A (en) | 2018-11-28 | 2018-11-28 | A kind of exhibition big data collection analysis platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109359628A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110517094A (en) * | 2019-08-30 | 2019-11-29 | 软通动力信息技术有限公司 | A kind of visitor's data analysing method, device, server and medium |
CN111144359A (en) * | 2019-12-31 | 2020-05-12 | 安徽智恒信科技股份有限公司 | Exhibit evaluation device and method and exhibit pushing method |
CN111369175A (en) * | 2020-03-25 | 2020-07-03 | 南京德实信息科技有限公司 | Enterprise product chain analysis, correction and feedback system based on big data |
CN112784240A (en) * | 2021-01-25 | 2021-05-11 | 温州大学 | Unified identity authentication platform and face identity recognition method thereof |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140203073A1 (en) * | 2013-01-18 | 2014-07-24 | Deetectee Microsystems Inc. | Method of mobile optical recognition |
CN107465656A (en) * | 2017-06-14 | 2017-12-12 | 广州宏和网络科技有限公司 | A kind of safety monitoring big data processing method and system based on cloud computing |
CN108304551A (en) * | 2018-02-01 | 2018-07-20 | 山东汇贸电子口岸有限公司 | A kind of enterprise's big data analysis system and method |
CN108875695A (en) * | 2018-07-05 | 2018-11-23 | 深圳勇艺达机器人有限公司 | Visit scene interest stream of people's statistical analysis technique based on machine vision |
-
2018
- 2018-11-28 CN CN201811432857.5A patent/CN109359628A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140203073A1 (en) * | 2013-01-18 | 2014-07-24 | Deetectee Microsystems Inc. | Method of mobile optical recognition |
CN107465656A (en) * | 2017-06-14 | 2017-12-12 | 广州宏和网络科技有限公司 | A kind of safety monitoring big data processing method and system based on cloud computing |
CN108304551A (en) * | 2018-02-01 | 2018-07-20 | 山东汇贸电子口岸有限公司 | A kind of enterprise's big data analysis system and method |
CN108875695A (en) * | 2018-07-05 | 2018-11-23 | 深圳勇艺达机器人有限公司 | Visit scene interest stream of people's statistical analysis technique based on machine vision |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110517094A (en) * | 2019-08-30 | 2019-11-29 | 软通动力信息技术有限公司 | A kind of visitor's data analysing method, device, server and medium |
CN111144359A (en) * | 2019-12-31 | 2020-05-12 | 安徽智恒信科技股份有限公司 | Exhibit evaluation device and method and exhibit pushing method |
CN111144359B (en) * | 2019-12-31 | 2023-06-30 | 安徽智恒信科技股份有限公司 | Exhibit evaluation device and method and exhibit pushing method |
CN111369175A (en) * | 2020-03-25 | 2020-07-03 | 南京德实信息科技有限公司 | Enterprise product chain analysis, correction and feedback system based on big data |
CN112784240A (en) * | 2021-01-25 | 2021-05-11 | 温州大学 | Unified identity authentication platform and face identity recognition method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109359628A (en) | A kind of exhibition big data collection analysis platform | |
Cabrera-Quiros et al. | The MatchNMingle dataset: a novel multi-sensor resource for the analysis of social interactions and group dynamics in-the-wild during free-standing conversations and speed dates | |
Reeve et al. | Influences on museum practice | |
Phelps et al. | Urban inter-referencing within and beyond a decentralized Indonesia | |
KR20100033525A (en) | System and method for generating time-slot samples to which content may be assigned for measuring effects of the assigned content | |
Goffi et al. | Components of destination competitiveness. The case of small tourism destinations in Italy | |
Williamson | Reassembling children as data doppelgangers: How databases are making education machine-readable | |
US20230394547A1 (en) | Prediction of business outcomes by analyzing music interests of users | |
CN110275915A (en) | Intelligent blood health knowledge Science Popularization System | |
Singh et al. | Influence of service quality on brand image and repeat patronage in hospitality industry: A content analysis | |
Angeloni et al. | Measuring and evaluating visitors' behaviors inside museums: the Co. ME. project | |
Rodríguez-Ibáñez et al. | Towards organization management using exploratory screening and big data tests: A case study of the spanish red cross | |
Gatica-Perez et al. | 25 Analysis of Small Groups | |
KR102308233B1 (en) | Method for analyzing relationship between personal factors and types of visiting places and a method for recommending personalized contents using the same | |
Vallet et al. | Designing a data visualisation and analysis tool for supporting decision-making with public transportation network | |
Wei et al. | Construction of an intelligent evaluation model of mental health based on big data | |
Askribagbani et al. | The double pressure of life, the main outcome of divorce on women: A qualitative study | |
CN111797291A (en) | Method, system and storage medium for social function mining by using trajectory data | |
Su et al. | Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances | |
Badar et al. | Addressing SDG 11.7: A Review of Literature on Urban Open Spaces in India | |
Nematollahi et al. | Remorph Is a Pedagogical Framework | |
Joshi et al. | Business Intelligence (BI) Dashboard Utility | |
Sukarman et al. | Application Model of Small-Scale Hotel Room Rates Prediction in South Jakarta Using Business Analytics | |
Ridley | A systematic literature review | |
Barker | Loud and Low: Public Problems of Noise and Justice Near Westchester County Airport |
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: 20190219 |