CN114202922A - Public transport travel service big data acquisition and analysis platform - Google Patents
Public transport travel service big data acquisition and analysis platform Download PDFInfo
- Publication number
- CN114202922A CN114202922A CN202111501246.3A CN202111501246A CN114202922A CN 114202922 A CN114202922 A CN 114202922A CN 202111501246 A CN202111501246 A CN 202111501246A CN 114202922 A CN114202922 A CN 114202922A
- Authority
- CN
- China
- Prior art keywords
- module
- big data
- data
- unit
- analysis
- 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
- 238000004458 analytical method Methods 0.000 title claims abstract description 20
- 238000007405 data analysis Methods 0.000 claims abstract description 29
- 230000005540 biological transmission Effects 0.000 claims abstract description 23
- 238000007689 inspection Methods 0.000 claims abstract description 17
- 230000000694 effects Effects 0.000 claims abstract description 5
- 238000013480 data collection Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 6
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 238000004806 packaging method and process Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 claims 1
- 230000002265 prevention Effects 0.000 abstract description 6
- 238000007726 management method Methods 0.000 description 15
- 238000010586 diagram Methods 0.000 description 5
- 238000013500 data storage Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
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
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Emergency Management (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Radar, Positioning & Navigation (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Remote Sensing (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention belongs to the field of big data acquisition and analysis platforms, in particular to a public transportation travel service big data acquisition and analysis platform which comprises an acquisition module, a transmission module, a bus cloud service module, a data acquisition module, a big data analysis module, a storage module, an inspection module, a comparison module, a judgment module, a reminding module, a login module, a management module and a mobile phone terminal, wherein different figures can be analyzed according to bus dimensions and user dimensions, figure figures are customized on a bus side according to bus requirements, passenger flow of each station at different time periods and vehicle personnel conditions of each time period of a passenger travel track of each person are analyzed by analyzing figure travel data and combining epidemic prevention and control, scientific basis is provided for bus route adjustment, vehicle scheduling and epidemic prevention and control, thereby the operation cost of a bus company is saved, the user side can analyze user travel data, analyzing the activity rule of the user, and customizing the pushed bus information, the merchant information and various customized information.
Description
Technical Field
The invention relates to the technical field of big data acquisition and analysis platforms, in particular to a big data acquisition and analysis platform for public transportation travel service.
Background
Public transport means that in an area determined by urban people's government, public vehicles (including trams), urban rail transit systems and related facilities are utilized to operate according to approved lines, stations, time and ticket prices, basic travel service activities are provided for the public, and a public transport travel service big data acquisition and analysis platform is a platform for acquiring transport travel data.
In the prior art, scientific basis cannot be provided for bus route adjustment, vehicle scheduling and epidemic prevention and control, so a public transport travel service big data acquisition and analysis platform is provided for solving the problems.
Disclosure of Invention
The invention aims to provide a public transport travel service big data acquisition and analysis platform for solving the defect that the prior art cannot provide scientific basis for bus route adjustment, vehicle scheduling and epidemic prevention and control.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides a big data acquisition analysis platform of public transport trip service, is including acquireing module, transmission module, public transit cloud service module, data acquisition module, big data analysis module, storage module, inspection module, comparison module, judgment module, warning module, login module, management module, cell-phone terminal, the acquisition module is connected with transmission module, and transmission module and public transit cloud service module are connected, and public transit cloud service module and cell-phone terminal all are connected with data acquisition module, big data analysis module is connected with storage module, login module is connected with management module, management module is connected with storage module, and storage module and inspection module adopt two-way transmission, inspection module and comparison module are connected, and comparison module is connected with judgment module, and judgment module and warning module are connected.
Preferably, the big data analysis module is used for extracting data of the data acquisition flat module at regular time, performing classified statistics and summarization on the obtained data, outputting a chart, and transmitting the chart to the storage module.
Preferably, the graph comprises line station passenger flow, station time interval passenger flow, line passenger flow monthly analysis, customized data analysis and character behavior portrayal, wherein the character behavior portrayal comprises nearby merchant recommendation, merchant activity recommendation and bus line news recommendation.
Preferably, the big data analysis module comprises a timing unit, the timing unit is connected with an extraction unit, the extraction unit is connected with a classification statistics gathering unit, and the classification statistics gathering unit is connected with an output unit.
Preferably, the management module comprises a changing unit, the changing unit is connected with a transferring unit, the transferring unit is connected with a removing unit, the removing unit is connected with a feedback unit, the mobile phone terminal comprises a GPS acquiring unit, and the GPS acquiring unit is connected with a transmission unit.
Preferably, the acquisition module is used for acquiring user code scanning information and transmitting the user code scanning information to the public transportation cloud service module through the transmission module, the public transportation cloud service module is used for packaging and transmitting received user data to the data acquisition module, and the mobile phone terminal is used for acquiring user GPS information and transmitting the user GPS information to the data acquisition module.
Preferably, the storage module is used for classifying and storing the received data, the inspection module is used for inspecting various data storage contents, transmitting the inspection data to the comparison module, comparing the inspection data with the storage contents preset by the comparison module, and transmitting the comparison data to the judgment module.
Preferably, the judging module is used for judging the received data and judging whether early warning is needed or not, and the reminding module is used for reminding the manager.
Preferably, the login module is used for identity registration, authentication and login of management personnel, and the management module is used for changing, calling and removing data.
Preferably, the acquisition module is a vehicle-mounted terminal, and the vehicle-mounted terminal is a vehicle card swiping device.
Compared with the prior art, the invention has the beneficial effects that:
the invention can analyze different figures according to the dimension of the bus and the dimension of the user, customize figure figures at the bus side according to the bus requirement, analyze the passenger flow of each station at different time intervals and the vehicle and person conditions of each time interval of the riding track of the person by analyzing the travel data of the figures and combining epidemic prevention and control, and provide scientific basis for bus route adjustment, vehicle scheduling and epidemic prevention and control, thereby saving the operation cost for the bus company.
Drawings
FIG. 1 is a working schematic block diagram of a big data collecting and analyzing platform for public transportation travel service according to the present invention;
FIG. 2 is a block diagram of a big data analysis module of a big data collection and analysis platform for public transportation travel service according to the present invention;
FIG. 3 is a working schematic block diagram of a big data analysis module of a big data collection and analysis platform for public transportation travel service according to the present invention;
FIG. 4 is a block diagram of a management module of a big data collection and analysis platform for public transportation travel service according to the present invention;
fig. 5 is a block diagram of a mobile phone terminal of a public transportation travel service big data acquisition and analysis platform provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example one
Referring to fig. 1-5, a public transportation travel service big data acquisition and analysis platform comprises an acquisition module, a transmission module, a public transportation cloud service module, a data acquisition module, a big data analysis module, a storage module, an inspection module, a comparison module, a judgment module, a reminding module, a login module, a management module and a mobile phone terminal, wherein the acquisition module is connected with the transmission module, the transmission module is connected with the public transportation cloud service module, the public transportation cloud service module and the mobile phone terminal are both connected with the data acquisition module, the data acquisition module is connected with an encryption module, the encryption module is connected with the big data analysis module, the encryption module is used for encrypting acquired data, the big data analysis module is connected with the storage module, the login module is connected with the management module, the management module is connected with the storage module, the storage module and the inspection module adopt bidirectional transmission, the inspection module is connected with the comparison module, the comparison module is connected with the judgment module, and the judgment module is connected with the reminding module.
In this embodiment, the big data analysis module is used for extracting data of the data acquisition flat module at regular time, performing classified statistics and summarization on the obtained data, outputting a chart, and transmitting the chart to the storage module.
In this embodiment, the graph includes line station passenger flow, station time interval passenger flow, line passenger flow monthly analysis, customized data analysis, and a character behavior representation, where the character behavior representation includes nearby merchant recommendations, merchant activity recommendations, and bus line news recommendations.
In this embodiment, big data analysis module includes the timing unit, and the timing unit is connected with the extraction unit, and the extraction unit is connected with the categorised statistics and gathers the unit, and the categorised statistics gathers the unit connection and has output unit.
In this embodiment, the management module includes the change unit, and the change unit is connected with the unit of transferring, and the unit of transferring is connected with and removes the unit, removes the unit and is connected with the feedback unit, and mobile terminal includes GPS and acquires the unit, and GPS acquires the unit connection and has the transmission unit.
In the embodiment, an acquisition module acquires user code scanning information, the user code scanning information is transmitted to a public transportation cloud service module through a transmission module, the public transportation cloud service module packages and transmits received user data to a data acquisition module, a mobile phone terminal acquires user GPS information, the user GPS information is transmitted to the data acquisition module, the storage module classifies and stores the received data, an inspection module inspects various data storage amounts, the inspected data is transmitted to a comparison module, the inspected data is compared with the storage amount preset by the comparison module, the comparison data is transmitted to a judgment module, the judgment module judges the received data and judges whether early warning is needed or not, a reminding module reminds a manager, a login module manager performs identity registration, verification and login, the management module changes, calls and removes the data, and the acquisition module is a vehicle-mounted terminal, the vehicle-mounted terminal is a vehicle card swiping device.
Example two
The difference from the first embodiment is that: the system comprises an acquisition module, a transmission module, a bus cloud service module, a data acquisition module, a big data analysis module, a storage module, an inspection module, a comparison module, a judgment module, a reminding module, a login module, a management module, a mobile phone terminal and a backup module, wherein the acquisition module is connected with the transmission module, the transmission module is connected with the bus cloud service module, the bus cloud service module and the mobile phone terminal are both connected with the data acquisition module, the data acquisition module is connected with the big data analysis module, the big data analysis module is connected with the storage module, the login module is connected with the management module, the management module is connected with the storage module, the storage module and the inspection module adopt bidirectional transmission, the inspection module is connected with the comparison module, the comparison module is connected with the judgment module, the judgment module is connected with the reminding module, the backup module is connected with the storage module, and data stored in the storage module can be backed up through the backup module.
The rest is the same as the first embodiment.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. A public transport trip service big data acquisition and analysis platform comprises an acquisition module, a transmission module, a bus cloud service module, a data acquisition module, an encryption module, a big data analysis module, a storage module, an inspection module, a comparison module, a judgment module, a reminding module, a login module, a management module and a mobile phone terminal, and is characterized in that the acquisition module is connected with the transmission module, the transmission module is connected with the bus cloud service module, the bus cloud service module and the mobile phone terminal are both connected with the data acquisition module, the data acquisition module is connected with the encryption module, the encryption module is connected with the big data analysis module, the encryption module is used for encrypting acquired data, the big data analysis module is connected with the storage module, the login module is connected with the management module, the management module is connected with the storage module, and the storage module and the inspection module adopt bidirectional transmission, the monitoring module is connected with the comparison module, the comparison module is connected with the judgment module, and the judgment module is connected with the reminding module.
2. The mass transit travel service big data collection and analysis platform of claim 1, wherein the big data analysis module is configured to extract data of the data collection and analysis module at regular time, perform classified statistics and summarization on the obtained data, output a chart, and transmit the chart to the storage module.
3. The big data collecting and analyzing platform for public transportation travel service as claimed in claim 2, wherein the graph comprises line station passenger flow, station time interval passenger flow, line passenger flow month analysis, customized data analysis and figure behavior portrayal, and the figure behavior portrayal comprises nearby merchant recommendations, merchant activity recommendations and bus line news recommendations.
4. The mass transit travel service big data acquisition and analysis platform according to claim 1, wherein the big data analysis module comprises a timing unit, the timing unit is connected with an extraction unit, the extraction unit is connected with a classification statistics summarizing unit, and the classification statistics summarizing unit is connected with an output unit.
5. The mass transit travel service big data acquisition and analysis platform according to claim 1, wherein the management module comprises a change unit, the change unit is connected with a call unit, the call unit is connected with a removal unit, the removal unit is connected with a feedback unit, the mobile phone terminal comprises a GPS acquisition unit, and the GPS acquisition unit is connected with a transmission unit.
6. The mass transit travel service big data acquisition and analysis platform according to claim 1, wherein the acquisition module is used for acquiring user code scanning information, transmitting the user code scanning information to the public transit cloud service module through the transmission module, the public transit cloud service module is used for packaging and transmitting received user data to the data acquisition module, and the mobile phone terminal is used for acquiring user GPS information and transmitting the user GPS information to the data acquisition module.
7. The big data collecting and analyzing platform for public transportation travel service according to claim 1, wherein the storage module is used for classifying and storing the received data, the inspection module is used for inspecting the storage quantity of various types of data, transmitting the inspected data to the comparison module, comparing the inspected data with the storage quantity preset by the comparison module, and transmitting the compared data to the judgment module.
8. The mass transit travel service big data acquisition and analysis platform according to claim 1, wherein the judgment module is used for judging the received data and judging whether early warning is needed or not, and the reminding module is used for reminding managers.
9. The mass transit travel service big data collection and analysis platform of claim 1, wherein the login module is used for identity registration, authentication and login of management personnel, and the management module is used for changing, retrieving and removing data.
10. The big data collecting and analyzing platform for public transportation travel service according to claim 1, wherein the obtaining module is a vehicle-mounted terminal, and the vehicle-mounted terminal is a vehicle card swiping device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111501246.3A CN114202922A (en) | 2021-12-09 | 2021-12-09 | Public transport travel service big data acquisition and analysis platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111501246.3A CN114202922A (en) | 2021-12-09 | 2021-12-09 | Public transport travel service big data acquisition and analysis platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114202922A true CN114202922A (en) | 2022-03-18 |
Family
ID=80651752
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111501246.3A Pending CN114202922A (en) | 2021-12-09 | 2021-12-09 | Public transport travel service big data acquisition and analysis platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114202922A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114944020A (en) * | 2022-05-17 | 2022-08-26 | 海信集团控股股份有限公司 | Method and device for verifying riding information |
CN115424467A (en) * | 2022-08-19 | 2022-12-02 | 贵阳移动金融发展有限公司 | Information acquisition system based on public transport |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPWO2011046138A1 (en) * | 2009-10-14 | 2013-03-07 | 株式会社エヌ・ティ・ティ・ドコモ | POSITION INFORMATION ANALYSIS DEVICE AND POSITION INFORMATION ANALYSIS METHOD |
CN105320997A (en) * | 2015-09-22 | 2016-02-10 | 上海川昱信息科技有限公司 | Public transit passenger flow trajectory real-time tracking method based on big data |
CN108573604A (en) * | 2018-04-27 | 2018-09-25 | 深圳市交投科技有限公司 | Public transport OD data capture methods based on mobile terminal location and storage medium |
AU2018101352A4 (en) * | 2018-02-12 | 2018-10-18 | Chengdu University Of Information Technology | Multi-source Data Acquisition System and Real-Time Analysis System Based on Cloud Platform |
CN110555996A (en) * | 2019-10-15 | 2019-12-10 | 中国城市规划设计研究院 | bus operation analysis system |
CN110705747A (en) * | 2019-08-27 | 2020-01-17 | 广州交通信息化建设投资营运有限公司 | Intelligent public transport cloud brain system based on big data |
-
2021
- 2021-12-09 CN CN202111501246.3A patent/CN114202922A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPWO2011046138A1 (en) * | 2009-10-14 | 2013-03-07 | 株式会社エヌ・ティ・ティ・ドコモ | POSITION INFORMATION ANALYSIS DEVICE AND POSITION INFORMATION ANALYSIS METHOD |
CN105320997A (en) * | 2015-09-22 | 2016-02-10 | 上海川昱信息科技有限公司 | Public transit passenger flow trajectory real-time tracking method based on big data |
AU2018101352A4 (en) * | 2018-02-12 | 2018-10-18 | Chengdu University Of Information Technology | Multi-source Data Acquisition System and Real-Time Analysis System Based on Cloud Platform |
CN108573604A (en) * | 2018-04-27 | 2018-09-25 | 深圳市交投科技有限公司 | Public transport OD data capture methods based on mobile terminal location and storage medium |
CN110705747A (en) * | 2019-08-27 | 2020-01-17 | 广州交通信息化建设投资营运有限公司 | Intelligent public transport cloud brain system based on big data |
CN110555996A (en) * | 2019-10-15 | 2019-12-10 | 中国城市规划设计研究院 | bus operation analysis system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114944020A (en) * | 2022-05-17 | 2022-08-26 | 海信集团控股股份有限公司 | Method and device for verifying riding information |
CN115424467A (en) * | 2022-08-19 | 2022-12-02 | 贵阳移动金融发展有限公司 | Information acquisition system based on public transport |
CN115424467B (en) * | 2022-08-19 | 2023-10-24 | 贵阳移动金融发展有限公司 | Information acquisition system based on public transportation |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103886741B (en) | A kind of public transportation management system based on Intelligent bus card and method | |
Husnjak et al. | Telematics system in usage based motor insurance | |
CN102622798B (en) | Passenger flow statistical analysis system | |
CN114202922A (en) | Public transport travel service big data acquisition and analysis platform | |
CN105974861B (en) | Public transit vehicle based on RFID takes personnel safety monitoring system and method | |
CN202120326U (en) | Monitoring system for transportation management of city slag vehicles | |
CN101574977B (en) | Dynamic monitoring method for position of molten iron tranportation vehicle and monitoring system thereof | |
CN103854483A (en) | Vehicle dynamic information system based on GPS (global position system) satellite positioning and ECU (electronic control unit) | |
CN105259304B (en) | On-line monitoring system and method for pollutants in vehicle tail gas | |
CN103412556A (en) | On-line detection system for vehicle | |
CN109189019A (en) | A kind of engine drivers in locomotive depot value multiplies standardization monitoring system | |
CN205792728U (en) | Cab integrated radio communication dynamic monitoring system | |
CN106981191A (en) | A kind of car management system and method based on intelligent vehicle mounted terminal | |
CN204945122U (en) | A kind of Vehicular exhaust pollutant monitoring system | |
CN110677808A (en) | Taxi operation system | |
CN104464301A (en) | Real-time online mobile ultra-limit law enforcement system | |
CN111277668A (en) | System suitable for ITCS vehicle-mounted log intelligent analysis | |
CN111988351A (en) | Dynamic management system and method for engineering crew operation | |
CN211860170U (en) | System suitable for ITCS vehicle-mounted log analysis | |
CN111126835B (en) | Public vehicle management method based on Beidou satellite positioning | |
CN111833476A (en) | Bus driver performance attendance checking method based on mobile terminal fixed line operation | |
CN113469124B (en) | Highway passenger traffic flow collection and supervision platform and application method thereof | |
Badawy et al. | An iot based school bus tracking and monitoring system | |
CN202217383U (en) | Vehicle intelligent terminal of bus | |
Mrema et al. | A survey of road accident reporting and driver’s behavior awareness systems: the case of Tanzania |
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: 20220318 |
|
RJ01 | Rejection of invention patent application after publication |