CN107257292B - A kind of cross-domain distributed big data communication system design planning method - Google Patents
A kind of cross-domain distributed big data communication system design planning method Download PDFInfo
- Publication number
- CN107257292B CN107257292B CN201710385779.7A CN201710385779A CN107257292B CN 107257292 B CN107257292 B CN 107257292B CN 201710385779 A CN201710385779 A CN 201710385779A CN 107257292 B CN107257292 B CN 107257292B
- Authority
- CN
- China
- Prior art keywords
- data
- communication
- domain
- network
- cross
- 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.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer And Data Communications (AREA)
Abstract
The present invention relates to a kind of cross-domain distributed big data communication system design planning methods, including distribution data field, are equipped with data schema hardware platform, set data communication protocol, distribute data source, building squeezes out six step such as data model and data.One aspect of the present invention can effectively simplify network structure, to the occupancy of Internet resources when reduction Data Communication in Computer Networks, to reach while reducing communication network operating cost, improve data communication processing speed, simultaneously, it can also be according to the frequency of cross-domain rhetorical question data, the information such as wide-style, cross-domain data is accessed and carries out degree of belief management by synchronization, to further improve the safety and reliability managed when data cross-domain communication, it helps further increase the data communication efficiency of cross-domain data access operation.
Description
Technical field
The present invention relates to a kind of cross-domain distributed big data communication system design planning methods, belong to computer communication technology neck
Domain.
Background technique
At present in the process of data communication such as computer internet and Internet of Things, different data are often stored in respectively respectively
From in the data server of different domain names, therefore lead to the data currently when carrying out data access, between different name servers
It is relatively poor to communicate interaction capabilities, data frequent transmission between different name servers is needed, due in different name servers
And when communication network progress data transmitting, data need to frequently replace type of data structure, replacement data starting point identification coding
It is encoded with replacement end of data section identification, while needing for the data between different name servers to be overlapped mutually toward contact,
Relatively low, data communication speed difference, the network system of occupancy to cause data-handling capacity of the data in cross-domain access
Resource of uniting is relatively more, while further resulting in data communication network structure is complicated, and the cost is relatively high for network operation, therefore sternly
The reliability and stability of Data Communication in Computer Networks are constrained again, therefore are directed to this problem, completely new there is an urgent need to develop one kind
The cross-domain data means of communication, to meet the needs of actual use.
Summary of the invention
The object of the invention, which is that, overcomes above-mentioned deficiency, provides a kind of cross-domain distributed big data communication system design planning
Method.
To achieve the above object, the present invention is to be achieved through the following technical solutions:
A kind of cross-domain distributed big data communication system design planning method, comprising the following steps:
The first step distributes data field, according to design object needs, it is first determined meets the Various types of data of design object requirement
Type, data communication and calculation process amount, then according to determining data type, to each number that can currently meet using needs
It is divided according to place data field, and by ready-portioned each data field distribution specific data communication initiation identification code and terminates to mark
Know code, data communication network structure type and data Communication processing operation are finally determined according to data communication and calculation process amount
Ability;
Second step is equipped with data schema hardware platform, and according to the data domain information that the first step is distributed, building one is based on cloud
The data processing server of data processing service platform constructs at least one cross-domain degree of belief calculation server, the inspection of several data
Rope server, authentication server, data modeling computer platform and data acquire communication platform, wherein being based on cloud data
The data processing server for handling service platform is calculated with each cross-domain degree of belief respectively by least one data communication network to be taken
It is mutual that device, data retrieval server, authentication server, data modeling computer platform and the data of being engaged in acquire communication platform
Connection, wherein the described data processing server based on cloud data processing service platform and cross-domain degree of belief calculation server,
Data retrieval server, authentication server, data modeling computer platform constitute level one data and handle network, data inspection
Rope server, authentication server and data acquisition communication platform constitute secondary data and handle network, and several data acquire
Communication platform is evenly arranged on respectively in each data field institute coverage area;
Third step sets data communication protocol, the data domain information distributed according to the first step, it is first determined at level one data
It manages network, secondary data processing network and level one data processing network and secondary data handles inter-network data communications protocol, and
By communications protocol be stored in data processing server based on cloud data processing service platform, cross-domain degree of belief calculation server,
Then data retrieval server and authentication server set the corresponding data retrieval range of each data retrieval server, most
User in authentication server is set afterwards and carries out the Computation function model of degree of belief when each data domain browsing, and by degree of belief
Computation function model backed up respectively based on the data processing server of cloud data processing service platform and cross-domain degree of belief
It calculates in server, the data manipulation extent of competence of each data acquisition communication platform is set finally by authentication server, and
Data manipulation extent of competence is stored in authentication server and data acquisition communication platform;
4th step distributes data source, after completing third step operation, according to data source flat type and data type, really
Determine Various types of data provide data acquisition communication platform structure type and the type of data acquisition terminal equipment, type, data and
Distributing position in data source unit range;
5th step, building squeeze out data model, after completing FOUR EASY STEPS, pass through data to each data source unit first
It acquires communication platform and carries out raw data acquisition, and the initial data of collected each data source unit is passed through into two series
According to processing transmission of network to level one data processing network in, by level one data processing network in based on cloud data processing service
The data processing server of platform handles the data of acquisition, then by data after treatment in data modeling meter
It calculates machine platform and establishes each data source unit original data model, and the data model of foundation is saved respectively;
6th step, data simulation, after completing the 5th step, then each hardware device of starting third step setting randomly chooses
Any 2-3 in each data acquisition communication platform, communication platform then is acquired by the data of selection and carries out user identity
Certification and new data typing, to level one data processing network, the speed of secondary data network data communication, data operation
Data communication and access ability when processing capacity, users to trust degree operational precision and user's cross-domain data access are verified,
Complete design is planned if being verified rear each equipment and system normal operation, if data processing is not normally carried out, returns to the
Two steps are adjusted, until being verified.
Further, in the first step, data field is carried out when being divided, the network platform being distributed according to data
It is divided, and carries out data field division according to the region both of which that data are distributed.
Further, the data communication network structure determined in the first step is that at least one internet data is logical
Net and at least one internet of things data communication network are interrogated, internet data communication network and internet of things data communication network include at least one
A online communication network and at least one wireless communication networks.
Further, the data retrieval server of the second step, authentication server quantity and data acquisition are logical
Interrogate platform quantity it is consistent, each data acquire communication platform respectively with a data retrieval server and an authentication
Server connection.
Further, the secondary data handles network at least two, and between each secondary data processing network mutually simultaneously
Connection, and be connected with each other respectively with level one data processing network.
Further, in the second step, it is personal computer, industrial computer, movement that data, which acquire communication platform,
Any one or a few in intelligent terminal, monitoring camera, internet of things net controller and sensor group is used in mixed way.
Further, the sensor group includes online transmission sensor and radio transmission transducing device.
One aspect of the present invention can effectively simplify network structure, to the occupancy of Internet resources when reducing Data Communication in Computer Networks
Rate, to reach while reducing communication network operating cost, improving data communication processing speed simultaneously can also root
According to the frequency of cross-domain access data, the information such as wide-style access cross-domain data and carry out degree of belief management by synchronization, thus into one
The safety and reliability managed when the raising data cross-domain communication of step, it helps further increase cross-domain data access operation
Data communication efficiency.
Detailed description of the invention
Fig. 1 is flow diagram of the present invention;
Fig. 2 is to be equipped with data schema hardware platform structure.
Specific embodiment
As illustrated in fig. 1 and 2, a kind of cross-domain distributed big data communication system design planning method, comprising the following steps:
The first step distributes data field, according to design object needs, it is first determined meets the Various types of data of design object requirement
Type, data communication and calculation process amount, then according to determining data type, to each number that can currently meet using needs
It is divided according to place data field, and by ready-portioned each data field distribution specific data communication initiation identification code and terminates to mark
Know code, data communication network structure type and data Communication processing operation are finally determined according to data communication and calculation process amount
Ability;
Second step is equipped with data schema hardware platform, and according to the data domain information that the first step is distributed, building one is based on cloud
The data processing server of data processing service platform constructs at least one cross-domain degree of belief calculation server, the inspection of several data
Rope server, authentication server, data modeling computer platform and data acquire communication platform, wherein being based on cloud data
The data processing server for handling service platform is calculated with each cross-domain degree of belief respectively by least one data communication network to be taken
It is mutual that device, data retrieval server, authentication server, data modeling computer platform and the data of being engaged in acquire communication platform
Connection, wherein the described data processing server based on cloud data processing service platform and cross-domain degree of belief calculation server,
Data retrieval server, authentication server, data modeling computer platform constitute level one data and handle network, data inspection
Rope server, authentication server and data acquisition communication platform constitute secondary data and handle network, and several data acquire
Communication platform is evenly arranged on respectively in each data field institute coverage area;
Third step sets data communication protocol, the data domain information distributed according to the first step, it is first determined at level one data
It manages network, secondary data processing network and level one data processing network and secondary data handles inter-network data communications protocol, and
By communications protocol be stored in data processing server based on cloud data processing service platform, cross-domain degree of belief calculation server,
Then data retrieval server and authentication server set the corresponding data retrieval range of each data retrieval server, most
User in authentication server is set afterwards and carries out the Computation function model of degree of belief when each data domain browsing, and by degree of belief
Computation function model backed up respectively based on the data processing server of cloud data processing service platform and cross-domain degree of belief
It calculates in server, the data manipulation extent of competence of each data acquisition communication platform is set finally by authentication server, and
Data manipulation extent of competence is stored in authentication server and data acquisition communication platform;
4th step distributes data source, after completing third step operation, according to data source flat type and data type, really
Determine Various types of data provide data acquisition communication platform structure type and the type of data acquisition terminal equipment, type, data and
Distributing position in data source unit range;
5th step, building squeeze out data model, after completing FOUR EASY STEPS, pass through data to each data source unit first
It acquires communication platform and carries out raw data acquisition, and the initial data of collected each data source unit is passed through into two series
According to processing transmission of network to level one data processing network in, by level one data processing network in based on cloud data processing service
The data processing server of platform handles the data of acquisition, then by data after treatment in data modeling meter
It calculates machine platform and establishes each data source unit original data model, and the data model of foundation is saved respectively;
6th step, data simulation, after completing the 5th step, then each hardware device of starting third step setting randomly chooses
Any 2-3 in each data acquisition communication platform, communication platform then is acquired by the data of selection and carries out user identity
Certification and new data typing, to level one data processing network, the speed of secondary data network data communication, data operation
Data communication and access ability when processing capacity, users to trust degree operational precision and user's cross-domain data access are verified,
Complete design is planned if being verified rear each equipment and system normal operation, if data processing is not normally carried out, returns to the
Two steps are adjusted, until being verified.
In the present embodiment, in the first step, when progress data field is divided, the network being distributed according to data is flat
Platform is divided, and carries out data field division according to the region both of which that data are distributed.
In the present embodiment, the data communication network structure determined in the first step is at least one internet data
Communication network and at least one internet of things data communication network, internet data communication network and internet of things data communication network include at least
One online communication network and at least one wireless communication networks.
In the present embodiment, data retrieval server, authentication server quantity and the data of the second step are acquired
Communication platform quantity is consistent, each data acquisition communication platform is recognized with a data retrieval server and an identity respectively
Demonstrate,prove server connection.
In the present embodiment, the secondary data handles network at least two, and between each secondary data processing network mutually
Parallel connection, and be connected with each other respectively with level one data processing network.
In the present embodiment, in the second step, it is personal computer, industrial computer, shifting that data, which acquire communication platform,
Any one or a few in dynamic intelligent terminal, monitoring camera, internet of things net controller and sensor group is used in mixed way.
In the present embodiment, the sensor group includes online transmission sensor and radio transmission transducing device.
One aspect of the present invention can effectively simplify network structure, to the occupancy of Internet resources when reducing Data Communication in Computer Networks
Rate, to reach while reducing communication network operating cost, improving data communication processing speed simultaneously can also root
According to the frequency of cross-domain rhetorical question data, the information such as wide-style access cross-domain data and carry out degree of belief management by synchronization, thus into one
The safety and reliability managed when the raising data cross-domain communication of step, it helps further increase cross-domain data access operation
Data communication efficiency.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (7)
1. a kind of cross-domain distributed big data communication system design planning method, it is characterised in that: described is cross-domain distributed big
Data communication system design planning method the following steps are included:
The first step distributes data field, according to design object needs, it is first determined meets the Various types of data class of design object requirement
Type, data communication and calculation process amount, then according to determining data type, to each data institute that can currently meet using needs
It is divided in data field, and distributes ready-portioned each data field to specific data communication initiation identification code and end of identification code,
Data communication network structure type and data Communication processing operational capability are finally determined according to data communication and calculation process amount;
Second step is equipped with data schema hardware platform, and according to the data domain information that the first step is distributed, building one is based on cloud data
It handles the data processing server of service platform, construct at least one cross-domain degree of belief calculation server, several data retrievals clothes
Device, authentication server, data modeling computer platform and the data of being engaged in acquire communication platform, wherein being taken based on cloud data processing
Be engaged in platform data processing server by least one data communication network respectively with each cross-domain degree of belief calculation server, number
It is connected with each other according to retrieval server, authentication server, data modeling computer platform and data acquisition communication platform, wherein
The data processing server and cross-domain degree of belief calculation server, data retrieval clothes based on cloud data processing service platform
Business device, authentication server, data modeling computer platform constitute level one data and handle network, data retrieval server, body
Part certificate server and data acquisition communication platform constitute secondary data and handle network, and several data acquire communication platform, divide
It is not evenly arranged in each data field institute coverage area;
Third step sets data communication protocol, the data domain information distributed according to the first step, it is first determined level one data handles net
Network, secondary data processing network and level one data processing network and secondary data handle inter-network data communications protocol, and will lead to
News agreement is stored in data processing server, cross-domain degree of belief calculation server, data based on cloud data processing service platform
Then retrieval server and authentication server set the corresponding data retrieval range of each data retrieval server, finally set
Determine the Computation function model that user in authentication server carries out degree of belief when each data domain browsing, and by the calculating of degree of belief
Function model back up respectively based on cloud data processing service platform data processing server and cross-domain degree of belief calculate service
In device, the data manipulation extent of competence of each data acquisition communication platform is set finally by authentication server, and by data
Operating right range is stored in authentication server and data acquisition communication platform;
4th step distributes data source, after completing third step operation, according to data source flat type and data type, determines each
Class data provide the structure type and the type of data acquisition terminal equipment, type, data and in number of data acquisition communication platform
According to the distributing position in the unit range of source;
5th step, building squeeze out data model, after completing FOUR EASY STEPS, are acquired first to each data source unit by data
Communication platform carries out raw data acquisition, and the initial data of collected each data source unit is handled by secondary data
Transmission of network is into level one data processing network, by the number based on cloud data processing service platform in level one data processing network
It handles according to data of the processing server to acquisition, then builds data after treatment in data modeling computer platform
Each data source unit original data model is found, and the data model of foundation is saved respectively;
6th step, data simulation, after completing the 5th step, then each hardware device of starting third step setting randomly chooses each number
According to any 2-3 in acquisition communication platform, then by the data of selection acquire communication platform carry out user identity authentication and
New data typing handles energy to level one data processing network, the speed of secondary data network data communication, data operation
Data communication and access ability when power, users to trust degree operational precision and user's cross-domain data access are verified, if verifying
By rear each equipment and system normal operation, then complete design is planned, if data processing is not normally carried out, returns to the second stepping
Row adjustment, until being verified.
2. according to the cross-domain distributed big data communication system design planning method of one kind described in claim 1, it is characterised in that: institute
In the first step stated, when progress data field is divided, divided according to the network platform that data are distributed, and according to data
The region both of which being distributed carries out data field division.
3. the cross-domain distributed big data communication system design planning method of one kind according to claim 1, it is characterised in that:
The data communication network structure determined in the first step is at least one internet data communication network and at least one Internet of Things
Network data communication network, internet data communication network and internet of things data communication network include at least one online communication network and extremely
Few wireless communication networks.
4. the cross-domain distributed big data communication system design planning method of one kind according to claim 1, it is characterised in that:
The data retrieval server of the second step, authentication server quantity are consistent with data acquisition communication platform quantity, often
One data acquisition communication platform is connect with a data retrieval server and an authentication server respectively.
5. the cross-domain distributed big data communication system design planning method of one kind according to claim 1, it is characterised in that:
The secondary data handles network at least two, and parallel with one another between each secondary data processing network, and respectively with a series
It is connected with each other according to processing network.
6. the cross-domain distributed big data communication system design planning method of one kind according to claim 1, it is characterised in that:
In the second step, it is personal computer, industrial computer, mobile intelligent terminal, monitoring camera that data, which acquire communication platform,
Any one or a few in head, internet of things net controller and sensor group is used in mixed way.
7. the cross-domain distributed big data communication system design planning method of one kind according to claim 6, it is characterised in that:
The sensor group includes online transmission sensor and radio transmission transducing device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710385779.7A CN107257292B (en) | 2017-05-26 | 2017-05-26 | A kind of cross-domain distributed big data communication system design planning method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710385779.7A CN107257292B (en) | 2017-05-26 | 2017-05-26 | A kind of cross-domain distributed big data communication system design planning method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107257292A CN107257292A (en) | 2017-10-17 |
CN107257292B true CN107257292B (en) | 2019-11-19 |
Family
ID=60028187
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710385779.7A Active CN107257292B (en) | 2017-05-26 | 2017-05-26 | A kind of cross-domain distributed big data communication system design planning method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107257292B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108173830B (en) * | 2017-12-22 | 2019-01-25 | 北京明朝万达科技股份有限公司 | A kind of data safety between net is shared with management method and system |
CN108416145B (en) * | 2018-03-09 | 2021-08-24 | 商丘医学高等专科学校 | Mathematical model modeling method based on data analysis operation processing |
CN109257364B (en) * | 2018-10-12 | 2019-12-24 | 成都信息工程大学 | Multi-core mesh type multi-level cross-domain access control method based on cloud platform |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102055769A (en) * | 2010-12-29 | 2011-05-11 | 北京理工大学 | Multi- trust domain authentication system under lattice-based grid environment |
CN102104550A (en) * | 2011-03-10 | 2011-06-22 | 中国人民解放军信息工程大学 | Method for building and maintaining trust relation between autonomy systems in inter-domain routing system |
CN105468676A (en) * | 2015-11-13 | 2016-04-06 | 四川九成信息技术有限公司 | Big data processing method |
CN105792110A (en) * | 2016-03-30 | 2016-07-20 | 上海申腾信息技术有限公司 | Data fusion and intelligent searching processing method for multiple data sources |
CN106534199A (en) * | 2016-12-26 | 2017-03-22 | 盐城工学院 | Distributed system authentication and permission management platform based on XACML and SAML under big data environment |
CN104735055B (en) * | 2015-02-12 | 2018-09-21 | 河南理工大学 | A kind of cross-domain safety access control method based on degree of belief |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130091207A1 (en) * | 2011-10-08 | 2013-04-11 | Broadcom Corporation | Advanced content hosting |
-
2017
- 2017-05-26 CN CN201710385779.7A patent/CN107257292B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102055769A (en) * | 2010-12-29 | 2011-05-11 | 北京理工大学 | Multi- trust domain authentication system under lattice-based grid environment |
CN102104550A (en) * | 2011-03-10 | 2011-06-22 | 中国人民解放军信息工程大学 | Method for building and maintaining trust relation between autonomy systems in inter-domain routing system |
CN104735055B (en) * | 2015-02-12 | 2018-09-21 | 河南理工大学 | A kind of cross-domain safety access control method based on degree of belief |
CN105468676A (en) * | 2015-11-13 | 2016-04-06 | 四川九成信息技术有限公司 | Big data processing method |
CN105792110A (en) * | 2016-03-30 | 2016-07-20 | 上海申腾信息技术有限公司 | Data fusion and intelligent searching processing method for multiple data sources |
CN106534199A (en) * | 2016-12-26 | 2017-03-22 | 盐城工学院 | Distributed system authentication and permission management platform based on XACML and SAML under big data environment |
Non-Patent Citations (1)
Title |
---|
基于信任计算的跨域访问控制研究;徐学东等;《电子制作》;20161015;第2016卷;第49-50页 * |
Also Published As
Publication number | Publication date |
---|---|
CN107257292A (en) | 2017-10-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106230973B (en) | A kind of file sharing method based on social networks | |
CN101973031B (en) | Cloud robot system and implementation method | |
Ling et al. | Blockchain radio access network beyond 5G | |
CN104811433B (en) | The distributed Internet of things system and implementation method of a kind of C/S frameworks | |
CN107257292B (en) | A kind of cross-domain distributed big data communication system design planning method | |
CN107196974A (en) | Spatial crowdsourcing worker position privacy protection method based on differential privacy | |
CN106790034A (en) | A kind of internet of things equipment certification and the method for secure accessing | |
CN103327121A (en) | P2P (Peer-to-Peer Network) network resource transmission method and device for same | |
CN107135149A (en) | A kind of method and apparatus for being used to recommend social user | |
CN105491085A (en) | Method and device for on-line requesting for queuing | |
CN108563697A (en) | A kind of data processing method, device and storage medium | |
CN107690795A (en) | Intelligent terminal establishes method, intelligent terminal and the server of connection with body-building apparatus | |
CN103457802A (en) | Information transmission system and method | |
CN110620820A (en) | Ubiquitous power Internet of things intelligent management system | |
CN101478773B (en) | MANET routing protocol synthetic evaluation method based on credibility | |
CN105450646A (en) | Local area network connection realization method for network refrigerator and user information security authentication method | |
CN110289971A (en) | Shared service management method and system | |
CN101986608B (en) | Method for evaluating heterogeneous overlay network load balance degree | |
CN109729016A (en) | A kind of file transmitting method, equipment and computer readable storage medium | |
CN105656709A (en) | Method and apparatus for predicting capacity of packet domain network | |
CN107249192A (en) | A kind of method for monitoring state and device of shared network section | |
CN116629599A (en) | Cloud management evaluation method and device, electronic equipment and storage medium | |
CN110266711A (en) | Data cochain method, apparatus, system and the block chain node of block chain node | |
CN109195139A (en) | Data transmission method, device, platform and the medium of M2M management platform and eSIM card | |
CN111680996B (en) | Block chain-based life payment data processing method, device and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |