CN113313456A - Intelligent management/control/maintenance cloud platform architecture for sintering production process flow - Google Patents
Intelligent management/control/maintenance cloud platform architecture for sintering production process flow Download PDFInfo
- Publication number
- CN113313456A CN113313456A CN202010122639.2A CN202010122639A CN113313456A CN 113313456 A CN113313456 A CN 113313456A CN 202010122639 A CN202010122639 A CN 202010122639A CN 113313456 A CN113313456 A CN 113313456A
- Authority
- CN
- China
- Prior art keywords
- data
- intelligent
- sintering
- control
- layer
- 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
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 79
- 238000005245 sintering Methods 0.000 title claims abstract description 72
- 238000012423 maintenance Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 51
- 230000008569 process Effects 0.000 claims abstract description 51
- 238000007726 management method Methods 0.000 claims abstract description 36
- 238000005457 optimization Methods 0.000 claims abstract description 13
- 238000013500 data storage Methods 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 230000006870 function Effects 0.000 claims abstract description 4
- 238000007781 pre-processing Methods 0.000 claims abstract description 4
- 239000000446 fuel Substances 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000001311 chemical methods and process Methods 0.000 claims description 6
- 238000001816 cooling Methods 0.000 claims description 6
- 238000013135 deep learning Methods 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 6
- 230000007246 mechanism Effects 0.000 claims description 6
- 238000002156 mixing Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000000611 regression analysis Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000013523 data management Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000007418 data mining Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000004886 process control Methods 0.000 claims description 3
- 230000008447 perception Effects 0.000 claims description 2
- 238000010223 real-time analysis Methods 0.000 claims description 2
- 230000010365 information processing Effects 0.000 abstract 1
- 238000013386 optimize process Methods 0.000 abstract 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Economics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of intelligent informatization of sintering production, in particular to a cloud platform architecture for intelligent management/control/maintenance of a sintering production process flow, which can realize big data sharing and redundancy under the condition of information safety, improve the efficiency of information analysis and operation maintenance, and guide and optimize process operation and production management in real time; the system comprises a process equipment layer, a parameter interface layer, a data platform layer, a production application layer and an intelligent decision layer. The process equipment layer comprises production equipment and an information acquisition device; the parameter interface layer comprises an industrial gateway and a switch, and realizes data access and management functions; the data platform layer comprises a plurality of sub-layers of data preprocessing and data storage, data modeling and service; the production application layer comprises intelligent analysis, prediction and model sintering industrial intelligent control and application software and environment; the intelligent decision layer carries out intelligent information processing of process optimization and scientific decision, and intelligent optimal operation in the sintering production operation process is realized.
Description
Technical Field
The invention relates to the technical field of intelligent informatization technology and intelligent cloud platforms for sintering production, in particular to an intelligent management/control/maintenance cloud platform architecture for a sintering production process flow.
Background
The traditional mode of information management, control and maintenance in the sintering production process is that one server or computer runs one production application or one database, and the server shares information resources independently without interfering with other servers; the information isolated island structure which divides the whole sintering process information system into a plurality of independent subsystems leads to low data sharing efficiency, high information safety risk, high operation and maintenance cost, untimely information analysis, high labor cost and large process parameter fluctuation caused by that production operation is only based on experience and only aims at local processes, and further can not realize optimized production by optimizing the process parameters of the whole process.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent management/control/maintenance cloud platform architecture for sintering production process flow, which can solve the problems of low data sharing efficiency, high information safety risk, high operation and maintenance cost, untimely information analysis and incapability of guiding production in real time.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: a cloud platform architecture for intelligent management/control/maintenance of sintering production process flow comprises a process equipment layer, a parameter interface layer, a data platform layer, a production application layer and an intelligent decision layer, wherein the process equipment layer comprises material preparation, mixing, sintering, cooling, screening of process equipment, machinery or pipelines, valve supporting facilities and various pumps, compressors, fan power equipment and corresponding process information; the parameter interface layer comprises an industrial gateway and an industrial switch, and realizes data acquisition and data access management functions; the data platform layer comprises a plurality of sub-layers of data preprocessing, data storage, data service, data modeling, intelligent application development/operation environment, a public component library and unified data service; the production application layer comprises a material/fuel/water intelligent ratio control model, a sintering end point intelligent analysis, prediction and control model intelligent control software sintering industrial application software and corresponding development and configuration platform environments; the intelligent decision layer is based on a physical and chemical process mechanism of a sintering production process, and carries out intelligent informatization processing and calculation of process optimization and scientific decision through practical regression analysis, big data, artificial intelligence and deep learning, so that the optimal operation without manual intervention or with little manual intervention in the sintering production operation process is realized.
Preferably, the sintering production process flow intelligent management/control/maintenance cloud platform architecture integrates online data acquisition and transmission, data management and storage and data control application tasks of the whole sintering production information into a centralized shared, redundant and highly reliable data center efficiently and flexibly by using dispersed computing resources, and realizes stable control, parameter optimization and intelligent automation of a series of production process processes of fuel/water ratio and sintering air/temperature/machine speed.
Preferably, the process equipment layer is accessed by data communication with on-line real-time process parameters acquired by batching, mixing, sintering, cooling, screening, sintering production process equipment, basic power equipment and a basic automation system (including PLC/DCS), a sintering professional sensor, a detector instrument and a manual inspection (auxiliary) mode, so that heterogeneous compatibility of various bottom layer protocols is realized.
Preferably, the parameter interface layer interconnects process parameters, measurement and control parameters, operation parameters, maintenance parameter information and all connectable equipment and system parameter information in the sintering production flow, so that an information isolated island is thoroughly eliminated.
Preferably, the data platform layer obtains a highly integrated, open and shared data service platform through sintering industrial cloud (private/public) and intelligent data mining, can perform data acquisition, data storage, data analysis and data sharing across systems, platforms and devices, and connects a data source (process equipment layer) and a production application layer through the parameter interface layer to provide data integration, information management, real-time control and maintenance decision data service for intelligent production.
Preferably, the production application layer is a carrier for centralized control software, a process control system and an expert system model of each process unit to sinter production process parameter operation, modeling, tool making and data and experience knowledge of production management and operation management processes, creating a data closed loop of state perception, real-time analysis, scientific decision making and accurate execution, constructing an automatic flow rule of data and information, and aiming at the uncertainty of various external factors on people, machines and material loop sections, realizing the dynamic and efficient configuration of each process resource, and improving the sintering production management efficiency and the dynamic control accuracy.
Preferably, the intelligent decision layer is based on a physical and chemical process mechanism of a sintering production process, and performs intelligent informatization processing and calculation of process optimization and scientific decision through practical regression analysis, big data, artificial intelligence and deep learning, so as to realize optimal operation without manual intervention or with little manual intervention in the sintering production operation process.
(III) advantageous effects
Compared with the prior art, the invention provides an intelligent management/control/maintenance cloud platform architecture for a sintering production process flow, which has the following beneficial effects: by constructing an intelligent management/control/maintenance cloud platform architecture of the sintering production process flow, online data acquisition and transmission, data management and storage and data control application tasks of the whole sintering production information are integrated into a data center with intensive sharing, redundant configuration and high reliability, and intelligent automation and optimization of a series of sintering production processes of fuel/water ratio control optimization and temperature control sintering optimization are realized.
Drawings
FIG. 1 is a schematic diagram of the present 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an intelligent management/control/maintenance cloud platform architecture for a sintering production process flow includes a process equipment layer, a parameter interface layer, a data platform layer, a production application layer and an intelligent decision layer, wherein the process equipment layer includes batching, mixing, sintering, cooling, screening process equipment, machinery or pipelines, valve supporting facilities and various pumps, compressors, fan power equipment and corresponding process information; the parameter interface layer comprises an industrial gateway and an industrial switch, and realizes the functions of data acquisition and data access management; the data platform layer comprises a plurality of sub-layers of data preprocessing, data storage, data service, data modeling, intelligent application development/operation environment, a public component library and unified data service; the production application layer comprises a material/fuel/water intelligent ratio control model, a sintering end point intelligent analysis, prediction and control model intelligent control software, sintering industrial application software and corresponding development and configuration platform environments; the intelligent decision layer is used for carrying out intelligent informatization processing and calculation of process optimization and scientific decision through practical regression analysis, big data, artificial intelligence and deep learning on the basis of a physical and chemical process mechanism of a sintering production process, so that the optimal operation without manual intervention or with little manual intervention in the sintering production operation process is realized; the sintering production process flow intelligent management/control/maintenance cloud platform architecture efficiently and flexibly integrates the tasks of online data acquisition and transmission, data management and storage and data control application of the whole sintering production information into a centralized shared, redundant and highly reliable data center by using dispersed computing resources, and realizes the stable control, parameter optimization and intelligent automation of a series of production process processes of fuel/water ratio and sintering air/temperature/machine speed; the process equipment layer is used for realizing heterogeneous compatibility of various bottom layer protocols by accessing online real-time process parameters acquired by batching, mixing, sintering, cooling, screening, sintering and producing process equipment, basic power equipment, a basic automation system (comprising a PLC/DCS), a sintering professional sensor, a detector instrument and a manual inspection (auxiliary) mode through data communication; the parameter interface layer interconnects process parameters, measurement and control parameters, operation parameters, maintenance parameter information and all connectable equipment and system parameter information in the sintering production flow, and thoroughly eliminates the information island; the data platform layer is a highly integrated, open and shared data service platform obtained by sintering industrial cloud (private/public) and intelligent data mining, can perform data acquisition, data storage, data analysis and data sharing across systems, platforms and devices, is connected with a data source (process equipment layer) and a production application layer through a parameter interface layer, and provides data integration, information management, real-time control and maintenance decision data service for intelligent production; the production application layer is a carrier for modeling, tooling and data and experience knowledge of the sintering production process parameter operation, production management and operation management process of the centralized control software, the process control system and the expert system model of each process unit, creates a data closed loop of 'state perception-real-time analysis-scientific decision-accurate execution', constructs an automatic flow rule of data and information, and is required to save uncertainty of various external factors on people, machines and material rings, thereby realizing the dynamic efficient configuration of each process resource and improving the sintering production management efficiency and the dynamic control accuracy; the intelligent decision layer is based on a physical and chemical process mechanism of a sintering production process, carries out intelligent informatization processing and calculation of process optimization and scientific decision through practical regression analysis, big data, artificial intelligence and deep learning, and realizes the optimal operation without manual intervention or with little manual intervention in the sintering production operation process.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A cloud platform architecture for intelligent management/control/maintenance of sintering production process flow is characterized by comprising a process equipment layer, a parameter interface layer, a data platform layer, a production application layer and an intelligent decision layer, wherein the process equipment layer comprises batching, mixing, sintering, cooling, screening process equipment, machinery or pipelines, valve supporting facilities and various pumps, compressors, fan power equipment and corresponding process information; the parameter interface layer comprises an industrial gateway and an industrial switch, and realizes data acquisition and data access management functions; the data platform layer comprises a plurality of sub-layers of data preprocessing, data storage, data service, data modeling, intelligent application development/operation environment, a public component library and unified data service; the production application layer comprises a material/fuel/water intelligent ratio control model, a sintering end point intelligent analysis, prediction and control model intelligent control software sintering industrial application software and corresponding development and configuration platform environments; the intelligent decision layer is based on a physical and chemical process mechanism of a sintering production process, and carries out intelligent informatization processing and calculation of process optimization and scientific decision through practical regression analysis, big data, artificial intelligence and deep learning, so that the optimal operation without manual intervention or with little manual intervention in the sintering production operation process is realized.
2. The cloud platform architecture for intelligent management/control/maintenance of sintering production process flow according to claim 1, wherein: the intelligent management/control/maintenance cloud platform architecture integrates the tasks of online data acquisition and transmission, data management and storage and data control application of the whole sintering production information into a centralized shared, redundant and highly reliable data center efficiently and flexibly by using dispersed computing resources, and realizes the stable control, parameter optimization and intelligent automation of a series of production process processes of fuel/water ratio and sintering air/temperature/machine speed.
3. The cloud platform architecture for intelligent management/control/maintenance of sintering production process flow according to claim 1, wherein: the process equipment layer is used for realizing heterogeneous compatibility of various bottom layer protocols by accessing on-line real-time process parameters acquired by batching, mixing, sintering, cooling, screening, sintering production process equipment, basic power equipment, a basic automation system (comprising a PLC/DCS), a sintering professional sensor, a detector instrument and a manual inspection (auxiliary) mode through data communication.
4. The cloud platform architecture for intelligent management/control/maintenance of sintering production process flow according to claim 1, wherein: the parameter interface layer interconnects process parameters, measurement and control parameters, operation parameters, maintenance parameter information and all connectable equipment and system parameter information in the sintering production flow, and completely eliminates information isolated islands.
5. The cloud platform architecture for intelligent management/control/maintenance of sintering production process flow according to claim 1, wherein: the data platform layer is a highly integrated, open and shared data service platform obtained by sintering industrial cloud (private/public) and intelligent data mining, can perform data acquisition, data storage, data analysis and data sharing across systems, platforms and devices, and is connected with a data source (process equipment layer) and a production application layer through the parameter interface layer to provide data integration, information management, real-time control and maintenance decision data service for intelligent production.
6. The cloud platform architecture for intelligent management/control/maintenance of sintering production process flow according to claim 1, wherein: the production application layer is a carrier for modeling, tooling and data and experience knowledge of the sintering production process parameter operation, production management and operation management process of the centralized control software, the process control system and the expert system model of each process unit, creates a data closed loop of state perception, real-time analysis, scientific decision-accurate execution, constructs an automatic flow rule of data and information, and is required to be uncertain of various external factors on people, machines and material loops, thereby realizing the dynamic and efficient configuration of each process resource and improving the sintering production management efficiency and the dynamic control accuracy.
7. The cloud platform architecture for intelligent management/control/maintenance of sintering production process flow according to claim 1, wherein: the intelligent decision layer is based on a physical and chemical process mechanism of a sintering production process, and carries out intelligent informatization processing and calculation of process optimization and scientific decision through practical regression analysis, big data, artificial intelligence and deep learning, so that the optimal operation without manual intervention or with little manual intervention in the sintering production operation process is realized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010122639.2A CN113313456A (en) | 2020-02-27 | 2020-02-27 | Intelligent management/control/maintenance cloud platform architecture for sintering production process flow |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010122639.2A CN113313456A (en) | 2020-02-27 | 2020-02-27 | Intelligent management/control/maintenance cloud platform architecture for sintering production process flow |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113313456A true CN113313456A (en) | 2021-08-27 |
Family
ID=77370074
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010122639.2A Pending CN113313456A (en) | 2020-02-27 | 2020-02-27 | Intelligent management/control/maintenance cloud platform architecture for sintering production process flow |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113313456A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115022379A (en) * | 2022-08-04 | 2022-09-06 | 晋江新建兴机械设备有限公司 | Ceramic production management system based on 5G cloud platform |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127422A (en) * | 2016-08-23 | 2016-11-16 | 中国重型机械研究院股份公司 | A kind of conticaster intelligent control platform |
| CN106569453A (en) * | 2016-08-29 | 2017-04-19 | 湖南永清水务有限公司 | Sewage treatment plant intelligent management system |
| CN107426268A (en) * | 2017-03-17 | 2017-12-01 | 珠海城市职业技术学院 | A kind of solar energy intelligent control method and system based on cloud computing |
| CN108171422A (en) * | 2017-12-28 | 2018-06-15 | 鞍钢集团自动化有限公司 | A kind of platform construction method of steel intelligent plant |
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
| CN110362037A (en) * | 2019-07-05 | 2019-10-22 | 南京简睿捷软件开发有限公司 | A kind of integrated maintenance system platform for numerically-controlled machine tool |
-
2020
- 2020-02-27 CN CN202010122639.2A patent/CN113313456A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127422A (en) * | 2016-08-23 | 2016-11-16 | 中国重型机械研究院股份公司 | A kind of conticaster intelligent control platform |
| CN106569453A (en) * | 2016-08-29 | 2017-04-19 | 湖南永清水务有限公司 | Sewage treatment plant intelligent management system |
| CN107426268A (en) * | 2017-03-17 | 2017-12-01 | 珠海城市职业技术学院 | A kind of solar energy intelligent control method and system based on cloud computing |
| CN108171422A (en) * | 2017-12-28 | 2018-06-15 | 鞍钢集团自动化有限公司 | A kind of platform construction method of steel intelligent plant |
| CN110362037A (en) * | 2019-07-05 | 2019-10-22 | 南京简睿捷软件开发有限公司 | A kind of integrated maintenance system platform for numerically-controlled machine tool |
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115022379A (en) * | 2022-08-04 | 2022-09-06 | 晋江新建兴机械设备有限公司 | Ceramic production management system based on 5G cloud platform |
| CN115022379B (en) * | 2022-08-04 | 2022-10-11 | 晋江新建兴机械设备有限公司 | Ceramic production management system based on 5G cloud platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112073461B (en) | Industrial Internet system based on cloud edge cooperation | |
| CN112731887B (en) | Digital twin intelligent monitoring system and method for petrochemical unattended loading and unloading line | |
| CN110221567B (en) | Intelligent management and control system based on 5G internet of things technology | |
| CN111131480A (en) | Cloud edge cooperative service system for smart power plant | |
| US20140032169A1 (en) | Systems and methods for improving control system reliability | |
| CN113820993A (en) | Method, system, and non-transitory computer readable medium for generating industrial control programming | |
| CN113035376B (en) | Intelligent factory based on industrial Internet and construction method thereof | |
| CN104898573A (en) | Numerical control system data acquiring and processing method based on cloud computing | |
| CN105843203A (en) | Intelligent production line process monitoring system | |
| CN108418849A (en) | A kind of oil-gas pipeline SCADA system | |
| CN102917032A (en) | Safety production cloud service platform for industrial and mining enterprises | |
| Wang et al. | Task offloading in cloud-edge collaboration-based cyber physical machine tool | |
| CN114757516A (en) | Full life cycle cloud platform management system of tunnel boring machine | |
| CN102917031A (en) | Data computing system of safety production cloud service platform for industrial and mining enterprises | |
| Tao et al. | Advancements and challenges of digital twins in industry | |
| CN114428487A (en) | Automatic control device, system and method | |
| CN1928327A (en) | Digital electro-hydraulic regulating system for steam turbine | |
| Martinov et al. | Development of a platform for collecting information on the operation of technological equipment with the use of Industrial Internet of Things | |
| CN106022978A (en) | Intelligent power plant management system | |
| Zuo et al. | Research on remote state monitoring and intelligent maintenance system of CNC machine tools | |
| CN117075543A (en) | Virtual production line planning and self-adaptive scheduling method based on digital twin | |
| Yang et al. | Towards intuitive visualisation goals for the operation optimisation of automated container terminal based on digital twin technology | |
| CN113313456A (en) | Intelligent management/control/maintenance cloud platform architecture for sintering production process flow | |
| CN117331614A (en) | On-line detection configuration file management method for aviation manufacturing production site | |
| Tianshu et al. | Intelligent prognostic and health management based on IOT cloud platform |
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: 20210827 |
|
| RJ01 | Rejection of invention patent application after publication |