CN106777110A - A kind of smart city big data integration system and method - Google Patents
A kind of smart city big data integration system and method Download PDFInfo
- Publication number
- CN106777110A CN106777110A CN201611160078.5A CN201611160078A CN106777110A CN 106777110 A CN106777110 A CN 106777110A CN 201611160078 A CN201611160078 A CN 201611160078A CN 106777110 A CN106777110 A CN 106777110A
- Authority
- CN
- China
- Prior art keywords
- data
- basic factors
- basic
- smart city
- city
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
- G06F16/134—Distributed indices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of smart city big data integration system and method, the method includes：Various types of data source is accessed, and is buffered in data buffer area；Data increment to the Various types of data source of data buffer area is cleaned, mapped and changed according to default unified reference format, obtains normal data；Normal data classification is existed the different type storage region of normal data resource pool；The data of normal data resource pool are associated and integrated according to smart city basic factors, basic factors storehouse is built, and business special topic storehouse is set up according to business demand on the basis of basic factors storehouse.The present invention is using the big data Integration Mode based on key element, data in smart city are associated integration according to the key element in city, realize the service of the big data based on key element, it is easier to carry out data sharing between all departments, big data analysis more easily can be carried out based on City factor simultaneously, and preferably for citizen, enterprise etc. carry out big data service.
Description
Technical field
The present invention relates to smart city, and in particular to a kind of smart city big data integration system and method.
Background technology
Smart city refers on the basis of information technology and internet are combined, by various intelligentized applications, to carry
The operational paradigm of urban infrastructure is risen, city operations management and public service level is lifted, the quality of life of people is improved.Greatly
Data are the important information resources for supporting smart city development, and city operations sign is to carry out quantization by data to show
, all departments are collected about the data of city operations sign by big data technology, city manager can be helped to carry out data remittance
Always, analyze, finally the quantization form (i.e. Various types of data) to city sign is managed；It can be seen that, data resource is whole in city
Conjunction is that the primary problem for solving is built in smart city.
People in city, thing, thing, the Back ground Information such as enterprise be the important big data Back ground Information in each city, it is existing
Db Management Model and Information application pattern be a kind of management of " barrier between different departments " formula, each relevant departments is from this department
Angle is set out information is managed, achievement data establishes one's own system, and standard differs, and degree of share is poor, can not assist each other
Adjust, share.With the development of smart city, it is desirable to which government allows for comprehensive, the accurate full regional economy, society grasped and sends out
Exhibition situation, reinforcing government department controls Information Resources Integration between the ability of information resources for decision making, government department and is got over shared demand
Come higher；" barrier between different departments " formula, isolated information management and the disadvantage of application model have shown clue, are on the one hand to cause perhaps
Information can not be shared between the more unnecessary duplication of labour, another aspect all departments, it is impossible to preferably service the common people.
This patent proposes the construction method of big data integration and shared system based on key element, big in solution smart city
The integration of data, shared and service problem.
The content of the invention
The technical problems to be solved by the invention are current " barrier between different departments " formula, isolated information management and application model
There is a problem of that the duplication of labour is more, identical achievement data is inconsistent, inter-sectional information sharing difficult.
In order to solve the above-mentioned technical problem, to be to provide a kind of smart city big data whole for the technical solution adopted in the present invention
Syzygy is united, including：
Data access area, it is each in smart city for accessing on the operation system front end processor of each service management department
Class data source；
Data buffer area, for the incremental data in Various types of data source in interim storage smart city；And to interim storage
Data are cleaned, mapped, changed, and obtain normal data；
Normal data resource pool, stores classifiedly all normal datas；
Basic factors data resource pond, on the basis of the normal data resource pool, according to the basic factors pair in city
Data are associated and integrate, basis of formation element library, and are applied according to city and all departments on the basic factors storehouse
The need for build corresponding application issue storehouse；
All data in the basic factors data resource pond are carried out for externally service by data sharing service bus
Issue with call.
In said system, the various data sources in the smart city include the perception data of resource environment, each pipe
Various data in the operational data and network of reason department；
Various types of data source in the smart city enters the number with the real-time calculation of the non real-time or flow data of batch
According to buffer area.
In said system, the normal data resource pool includes：
Structural data memory block, the various structural datas of storage all departments collection；
Unstructured data memory block, deposits various videos, audio, the unstructured data of document class；
Space-time data memory block, deposits various city maps and city plan spatial data.
In said system,
Number is deposited in the form of parallel database or distributed relation database in the structural data memory block
According to；
Unstructured data is deposited by the way of file system in the unstructured data memory block；
Space-time data memory block data storage in the form of space-time database.
Present invention also offers a kind of smart city big data integration method, comprise the following steps：
The Various types of data source in smart city is accessed, and is buffered in data buffer area；
Data increment to being buffered in the Various types of data source of data buffer area is carried out according to default unified reference format
Cleaning, mapping and conversion, obtain normal data；
Normal data classification is existed the different type storage region of normal data resource pool；
On the basis of normal data resource pool, the data of normal data resource pool are entered according to smart city basic factors
Row association and integration, build basic factors storehouse, and set up business special topic storehouse according to business demand on the basis of basic factors storehouse.
In the above-mentioned methods, the storage region type of normal data resource pool includes structural data memory block, non-structural
Change data storage area and space-time data memory block.
In the above-mentioned methods, it is complete to the data creation stored in structural data memory block, unstructured data memory block
Text index, index file is stored in Full-text Database, externally provides full article retrieval；
Wherein, the unstructured data of unstructured data memory block is divided into document class and non-document class；
Full-text index is set up to document class data, and index file is stored in Full-text Database, full article retrieval is externally provided；
Non-document class data set up full-text index by way of adding filename in its structured message, and will index text
Part is stored in Full-text Database, externally provides full article retrieval.
In the above-mentioned methods, basic factors storehouse include with people, thing, thing, one-to-one five sons of enterprise's basic factors
Basic factors storehouse；Each subbase plinth element library includes multiple sub- basic factors；Each subbase plinth element library is provided with a basic letter
Breath table；Each Basic Information Table includes the essential information of all sub- basic factors in correspondence subbase plinth element library.
In the above-mentioned methods, the foundation in basic factors storehouse specifically includes following steps：
Step S10, basic factors related service table is found out from normal data resource pool；
Step S20, the Basic Information Table for setting up each sub- basic factors；
Step S30, associating for Basic Information Table and traffic table is set up by critical field；
Step S40, within subbase plinth element library and subbase plinth element library between, subbase plinth is set up by middle contingency table
Association between the Basic Information Table of the Basic Information Table of key element and other sub- basic factors.
In the above-mentioned methods,
For other information beyond the essential information for preserving sub- basic factors, its root table is essential information to the traffic table
Table, affiliated traffic table is associated by critical field with root table；
The middle contingency table is used to build the sub- basic factors within subbase plinth element library and between subbase plinth element library
Incidence relation；
The foundation of the middle contingency table is specially：Each subbase plinth element library respectively with " people, thing, thing, enterprise " be
Basic factors, to separate sources, different types of basic factors data, keyword are extracted in units of the sub- basic factors of correspondence
Section, the sub- basic factors are built with the subbase plinth in corresponding subbase plinth element library and other subbase plinth element libraries by critical field
The incidence relation of key element, forms middle contingency table.
The present invention is entered the data in smart city according to the key element in city using the big data Integration Mode based on key element
Row association is integrated, and realizes the service of the big data based on key element, it is easier to data sharing is carried out between all departments, while can be more
It is convenient that big data analysis is carried out based on City factor, and preferably for citizen, enterprise etc. carry out big data service.
Brief description of the drawings
A kind of structural representation of smart city big data integration system that Fig. 1 is provided for the present invention；
A kind of flow chart of smart city big data integration method that Fig. 2 is provided for the present invention.
Specific embodiment
From for the business demand angle of smart city, on the one hand, smart city management needs depth to integrate, analysis number
According to；On the other hand, the smart city moving body expropriation and management reason under big data environment is, it is necessary to enter the receipts of row information to city operations situation
Collection and integration；Accordingly, it would be desirable to provide the angle of unified support from integration existing information resource and for following informatization, beat
The present situation that can not share of each inter-sectional data is broken, the overall management of data message, uniform service is realized, shared is shared.This hair
It is bright to use the data integration method based on city basic factors, the data in smart city are closed according to city basic factors
Connection is integrated, and forms city basic factors big data resource pool with city basic factors as core, so as to city in each management
The shared of data is carried out between department, is the service that enterprise, citizen in city etc. carry out data.
The present invention is described in detail with reference to Figure of description and specific embodiment.
As shown in figure 1, a kind of smart city big data integration system that the present invention is provided, including data access area 10, number
According to buffer area 20, normal data resource pool 30, basic factors data resource pond 40 and data sharing service bus 50.
Data access area 10 is located on the operation system front end processor of each service management department, each in smart city for accessing
Class data source, various data sources in smart city include perception data (including the structural data for monitoring of resource environment
With unstructured data etc., such as the data of weather class, the Monitoring Data of air pollution, water monitoring data etc.), each management
Various data in the operational data and network of department etc., the Various types of data in smart city is by data access area with batch
The real-time calculation of non real-time or flow data enters data buffer area 20.
Data buffer area 20 is used for the incremental data (number of data buffer area in Various types of data source in interim storage smart city
It is consistent with data source according to structure)；And the data of interim storage are cleaned, map, changed, obtain normal data；It is so clear
Wash, map, conversion operation just just for the data in data buffer area 20, without producing any influence to data source；Due to
What normal data resource pool 30 was deposited is the normal data according to the smart city of standard formulation, therefore has data to same data
Standard carries out data to mark, becomes normal data.
Normal data resource pool 30 deposits all normal datas, and the basis with service is integrated as follow-up data.
In the present invention, normal data resource pool 30 include structural data memory block, unstructured data memory block and
Space-time data memory block；The various structural datas of structural data memory block storage all departments collection；Unstructured data is deposited
Storage area deposits various videos, audio, the unstructured data of document class；Space-time data memory block deposit various city maps and
The spatial datas such as city plan；Wherein, structural data memory block uses parallel database or Distributed Relational type data
The form storage data in storehouse；Unstructured data is deposited by the way of file system in unstructured data memory block；Space-time number
According to memory block in the form of space-time database data storage.
Basic factors data resource pond 40 on the basis of normal data resource pool 30, according to city basic factors (people,
The key elements such as ground, thing, thing, enterprise) data are associated and integrated, basis of formation element library, and basic factors storehouse it
On can be applied according to city and all departments the need for build corresponding application issue storehouse；That is basic factors storehouse and all applications is special
Exam pool constitutes externally service and shared basic factors data resource pond, then to basic factors storehouse and the data in application issue storehouse
Unified resource inventory is carried out, externally shared and service basic factors data directory is formed.
Mainly deposit based on the theme after high speed data processing platform data working process in the application issue storehouse of various themes
Data, are externally serviced with shared service form or data access interface form.
Data sharing service bus 50 to the issue of service interface with call；It is right by providing service-oriented frame mode
The data in all basic factors data resource ponds 40 are issued and are registered on service bus in the form of services, for each portion of each government
Door and other application are shared, and data sharing service bus 50 is managed concentratedly by the pragmatic row of data kimonos, realizes that difference should
Communication and integration between.
In the present invention, data sharing service bus 50 can give full play to the Service Management effect of bus, and all data are all
Realize that service issue, calls, registers, subscribes to and route etc. by service bus and service abatement functions；Basic factors data are provided
Source pond 40 is in the form of services packaged data, then address of service is published in service bus 50, service call side
After data sharing service bus 50 obtains active service address, the service of service provider offer is directly invoked.
As shown in Fig. 2 a kind of smart city big data integration method that the present invention is provided, comprises the following steps：
The first step, the Various types of data source accessed in smart city are accessed, and are buffered in data buffer area；
Second step, the data increment in Various types of data source to being buffered in data buffer area are according to default unified reticle
Formula carries out data cleansing, mapping and changes, and obtains meeting consolidation form required standard data；
3rd step, the different type storage region that normal data classification is existed normal data resource pool；Normal data is provided
Deposit full dose data in source pond.The storage region type of normal data resource pool includes structural data memory block, destructuring number
According to memory block and space-time data memory block.
In the present invention, in structural data memory block, unstructured data memory block store data creation in full
Index, index file is stored in Full-text Database, externally provides full article retrieval；Wherein, the non-structural of unstructured data memory block
Change data and be divided into document class and non-document class (such as picture/video), this two class data file is stored in directly depositing in file,
Document class data can be established full-text index, and index file is stored in Full-text Database, externally provides full article retrieval；Non-document class is then
Full-text index is set up by way of adding filename to its structured message, index file externally provides complete after being stored in Full-text Database
Literary retrieval service.
4th step, on the basis of normal data resource pool, according to smart city basic factors to normal data resource pool
Data be associated and integrate, build basic factors storehouses, and industry is set up according to business demand on the basis of basic factors storehouse
The thematic storehouse of business.
In smart city, we the basic factors in smart city are divided into " people, thing, thing, enterprise " five classes, because
This is in the Data Integration of smart city, it is necessary to be integrated respectively according to this five basic factors, building five big subbase plinth will
Plain storehouse, i.e., in the present invention, basic factors storehouse include with people, the corresponding five sons basis of thing, thing, enterprise's basic factors will
Plain storehouse, each subbase plinth element library includes that the multiple sub- basic factors of such basic factors (such as people) are (this kind of relative to " people "
The sub- basic factors of basic factors are " each personnel ")；The structure of each subbase plinth element library needs to set up an essential information
Table, most basic information of each Basic Information Table comprising all sub- basic factors in correspondence subbase plinth element library (such as believe by identity
Breath, background information, social information etc.), it is the root table of its corresponding other satellite information table, for example, the basic letter of personnel
Breath table, the just basic identity information comprising the personnel, background information and social information etc., and other information then with traffic table with
The form of auxiliary table is present；Traffic table and auxiliary table are associated by critical field with root table.
Sub- basic factors within subbase plinth element library and between subbase plinth element library pass through middle contingency table and build association
Relation, middle contingency table is recorded within each subbase plinth element library and the subbase between subbase plinth element library as a supplementary table
The incidence relation of plinth key element；For the foundation of middle contingency table, each subbase plinth element library respectively with " people, thing, thing, enterprise
Key element based on industry ", to separate sources, different types of basic factors data, is extracted in units of the sub- basic factors of correspondence and closed
Key field, and by critical field set up the sub- basic factors with corresponding subbase plinth element library and other subbase plinth element libraries
The incidence relation of sub- basic factors, and be stored in middle contingency table.
As can be seen here, the foundation in basic factors storehouse specifically includes following steps：
Step S10, basic factors related service table is found out from normal data resource pool；
Step S20, the Basic Information Table for setting up each sub- basic factors；
Step S30, associating for Basic Information Table and traffic table is set up by critical field；
Step S40, within subbase plinth element library and subbase plinth element library between, subbase plinth is set up by middle contingency table
Association between the Basic Information Table of the Basic Information Table of key element and other sub- basic factors.
Obviously, those skilled in the art can carry out various changes and modification without deviating from essence of the invention to the present invention
God and scope.So, if these modifications of the invention and modification belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising these changes and modification.
Claims (10)
1. a kind of smart city big data integration system, it is characterised in that including：
Data access area, on the operation system front end processor of each service management department, for accessing all kinds of numbers in smart city
According to source；
Data buffer area, for the incremental data in Various types of data source in interim storage smart city；And to the data of interim storage
Cleaned, mapped, changed, obtained normal data；
Normal data resource pool, stores classifiedly all normal datas；
Basic factors data resource pond, on the basis of the normal data resource pool, according to the basic factors in city to data
It is associated and integrates, basis of formation element library, and the need applied according to city and all departments on the basic factors storehouse
Build corresponding application issue storehouse；
All data in the basic factors data resource pond are carried out the hair for externally service by data sharing service bus
Cloth with call.
2. big data integration system in smart city as claimed in claim 1, it is characterised in that various in the smart city
Data source includes the various data on perception data, the operational data of each administrative department and the network of resource environment；
Various types of data source in the smart city is slow into the data with the batch real-time calculation of non real-time or flow data
Deposit area.
3. big data integration system in smart city as claimed in claim 1, it is characterised in that the normal data resource pool bag
Include：
Structural data memory block, the various structural datas of storage all departments collection；
Unstructured data memory block, deposits various videos, audio, the unstructured data of document class；
Space-time data memory block, deposits various city maps and city plan spatial data.
4. big data integration system in smart city as claimed in claim 3, it is characterised in that
Data are deposited in the form of parallel database or distributed relation database in the structural data memory block；
Unstructured data is deposited by the way of file system in the unstructured data memory block；
Space-time data memory block data storage in the form of space-time database.
5. a kind of smart city big data integration method, it is characterised in that comprise the following steps：
The Various types of data source in smart city is accessed, and is buffered in data buffer area；
Data increment to being buffered in the Various types of data source of data buffer area cleaned according to default unified reference format,
Mapping and conversion, obtain normal data；
Normal data classification is existed the different type storage region of normal data resource pool；
On the basis of normal data resource pool, the data of normal data resource pool are closed according to smart city basic factors
Connection and integration, build basic factors storehouse, and set up business special topic storehouse according to business demand on the basis of basic factors storehouse.
6. method as claimed in claim 5, it is characterised in that the storage region type of normal data resource pool includes structuring
Data storage area, unstructured data memory block and space-time data memory block.
7. method as claimed in claim 6, it is characterised in that to structural data memory block, unstructured data memory block
The data creation full-text index of middle storage, index file is stored in Full-text Database, externally provides full article retrieval；
Wherein, the unstructured data of unstructured data memory block is divided into document class and non-document class；
Full-text index is set up to document class data, and index file is stored in Full-text Database, full article retrieval is externally provided；
Non-document class data set up full-text index by way of adding filename in its structured message, and index file is deposited
Enter Full-text Database, full article retrieval is externally provided.
8. method as claimed in claim 5, it is characterised in that basic factors storehouse include with people, thing, thing, enterprise basis will
The one-to-one five sub- basic factors storehouses of element；Each subbase plinth element library includes multiple sub- basic factors；Each subbase plinth will
Plain storehouse is provided with a Basic Information Table；Each Basic Information Table includes the base of all sub- basic factors in correspondence subbase plinth element library
This information.
9. method as claimed in claim 8, it is characterised in that the foundation in basic factors storehouse specifically includes following steps：
Step S10, basic factors related service table is found out from normal data resource pool；
Step S20, the Basic Information Table for setting up each sub- basic factors；
Step S30, associating for Basic Information Table and traffic table is set up by critical field；
Step S40, within subbase plinth element library and subbase plinth element library between, sub- basic factors are set up by middle contingency table
Basic Information Table and the Basic Information Table of other sub- basic factors between association.
10. method as claimed in claim 9, it is characterised in that
For other information beyond the essential information for preserving sub- basic factors, its root table is Basic Information Table to the traffic table, institute
Category traffic table is associated by critical field with root table；
The middle contingency table is used to build the pass of the sub- basic factors within subbase plinth element library and between subbase plinth element library
Connection relation；
The foundation of the middle contingency table is specially：Each subbase plinth element library respectively by " people, thing, thing, enterprise " based on
Key element, to separate sources, different types of basic factors data, critical field is extracted in units of the sub- basic factors of correspondence, is led to
Cross critical field and build the sub- basic factors with the sub- basic factors in corresponding subbase plinth element library and other subbase plinth element libraries
Incidence relation, formed in the middle of contingency table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611160078.5A CN106777110B (en) | 2016-12-15 | 2016-12-15 | A kind of smart city big data integration system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611160078.5A CN106777110B (en) | 2016-12-15 | 2016-12-15 | A kind of smart city big data integration system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106777110A true CN106777110A (en) | 2017-05-31 |
| CN106777110B CN106777110B (en) | 2019-07-16 |
Family
ID=58887430
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611160078.5A Active CN106777110B (en) | 2016-12-15 | 2016-12-15 | A kind of smart city big data integration system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106777110B (en) |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107506155A (en) * | 2017-09-28 | 2017-12-22 | 深圳市华傲数据技术有限公司 | Date storage method and device based on block number evidence |
| CN107862098A (en) * | 2017-12-21 | 2018-03-30 | 中通服公众信息产业股份有限公司 | A kind of affiliated partner search method based on full-text search |
| CN107945086A (en) * | 2017-11-17 | 2018-04-20 | 广州葵翼信息科技有限公司 | A kind of big data resource management system applied to smart city |
| CN107945081A (en) * | 2017-10-09 | 2018-04-20 | 中国电子科技集团公司第二十八研究所 | City operations show and monitoring and warning system |
| CN108415854A (en) * | 2018-02-11 | 2018-08-17 | 中国神华能源股份有限公司 | Data collecting system based on shared buffer memory and method |
| CN108959367A (en) * | 2018-05-22 | 2018-12-07 | 泰康保险集团股份有限公司 | Management method, system, platform, medium and the electronic equipment of room basis data |
| CN109189760A (en) * | 2018-08-16 | 2019-01-11 | 北京易华录信息技术股份有限公司 | A kind of building of traffic element portrait and analysis method based on big data technology |
| CN109299088A (en) * | 2018-08-22 | 2019-02-01 | 中国平安人寿保险股份有限公司 | Mass data storage means, device, storage medium and electronic equipment |
| CN109754219A (en) * | 2018-12-24 | 2019-05-14 | 广东科源智能科技股份有限公司 | A kind of big data management and analysis platform system based on city management |
| CN110458743A (en) * | 2019-08-12 | 2019-11-15 | 软通动力信息技术有限公司 | Community governance method, apparatus, equipment and storage medium based on big data analysis |
| CN110633297A (en) * | 2019-09-12 | 2019-12-31 | 苏州百宝箱科技有限公司 | Smart city data sharing system |
| CN110826096A (en) * | 2019-10-29 | 2020-02-21 | 杭州趣链科技有限公司 | Data source sharing method based on block chain |
| CN111813770A (en) * | 2020-09-03 | 2020-10-23 | 平安国际智慧城市科技股份有限公司 | Data model construction method and device and computer readable storage medium |
| CN111858796A (en) * | 2020-06-22 | 2020-10-30 | 北京百度网讯科技有限公司 | Geographic information system engine system, implementation method, device and storage medium |
| CN112115221A (en) * | 2020-09-08 | 2020-12-22 | 浙江嘉兴数字城市实验室有限公司 | Multi-factor matching fusion method for block data |
| CN112364003A (en) * | 2020-11-09 | 2021-02-12 | 南威软件股份有限公司 | Big data management method, device, equipment and medium for different industries |
| CN112527882A (en) * | 2020-12-17 | 2021-03-19 | 上海数依数据科技有限公司 | Data acquisition method and device for Internet of things equipment |
| CN112685385A (en) * | 2020-12-31 | 2021-04-20 | 广西中科曙光云计算有限公司 | Big data platform for smart city construction |
| CN112948483A (en) * | 2021-04-30 | 2021-06-11 | 重庆天智慧启科技有限公司 | City big data visualization system |
| CN113660338A (en) * | 2021-08-17 | 2021-11-16 | 中国农业银行股份有限公司 | Data interaction method, device and system and server |
| CN113810272A (en) * | 2021-09-29 | 2021-12-17 | 周明升 | Wisdom garden data access gateway |
| US11379615B2 (en) | 2018-11-08 | 2022-07-05 | At&T Intellectual Property I, L.P. | Event-based community creation for data sharing platform |
| CN114925324A (en) * | 2022-05-25 | 2022-08-19 | 北京航空航天大学 | Smart city incomplete data processing system and method based on SCNBMF |
| CN115017251A (en) * | 2022-08-05 | 2022-09-06 | 山东省计算中心（国家超级计算济南中心） | Standard mapping map establishing method and system for smart city |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105023086A (en) * | 2015-01-07 | 2015-11-04 | 泰华智慧产业集团股份有限公司 | Digital city management data sharing system based on cloud calculation |
| CN105069025A (en) * | 2015-07-17 | 2015-11-18 | 浪潮通信信息系统有限公司 | Intelligent aggregation visualization and management and control system for big data |
| CN105183834A (en) * | 2015-08-31 | 2015-12-23 | 上海电科智能系统股份有限公司 | Ontology library based transportation big data semantic application service method |
| CN105554070A (en) * | 2015-12-09 | 2016-05-04 | 北京中科云集科技有限公司 | Method based on police affair big data center service construction |
| CN105868395A (en) * | 2016-04-19 | 2016-08-17 | 武汉邮电科学研究院 | Event driven based smart city big data system and processing method |
-
2016
- 2016-12-15 CN CN201611160078.5A patent/CN106777110B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105023086A (en) * | 2015-01-07 | 2015-11-04 | 泰华智慧产业集团股份有限公司 | Digital city management data sharing system based on cloud calculation |
| CN105069025A (en) * | 2015-07-17 | 2015-11-18 | 浪潮通信信息系统有限公司 | Intelligent aggregation visualization and management and control system for big data |
| CN105183834A (en) * | 2015-08-31 | 2015-12-23 | 上海电科智能系统股份有限公司 | Ontology library based transportation big data semantic application service method |
| CN105554070A (en) * | 2015-12-09 | 2016-05-04 | 北京中科云集科技有限公司 | Method based on police affair big data center service construction |
| CN105868395A (en) * | 2016-04-19 | 2016-08-17 | 武汉邮电科学研究院 | Event driven based smart city big data system and processing method |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107506155A (en) * | 2017-09-28 | 2017-12-22 | 深圳市华傲数据技术有限公司 | Date storage method and device based on block number evidence |
| CN107945081B (en) * | 2017-10-09 | 2020-12-11 | 中国电子科技集团公司第二十八研究所 | Urban operation display and monitoring early warning system |
| CN107945081A (en) * | 2017-10-09 | 2018-04-20 | 中国电子科技集团公司第二十八研究所 | City operations show and monitoring and warning system |
| CN107945086A (en) * | 2017-11-17 | 2018-04-20 | 广州葵翼信息科技有限公司 | A kind of big data resource management system applied to smart city |
| CN107862098A (en) * | 2017-12-21 | 2018-03-30 | 中通服公众信息产业股份有限公司 | A kind of affiliated partner search method based on full-text search |
| CN108415854A (en) * | 2018-02-11 | 2018-08-17 | 中国神华能源股份有限公司 | Data collecting system based on shared buffer memory and method |
| CN108959367A (en) * | 2018-05-22 | 2018-12-07 | 泰康保险集团股份有限公司 | Management method, system, platform, medium and the electronic equipment of room basis data |
| CN109189760A (en) * | 2018-08-16 | 2019-01-11 | 北京易华录信息技术股份有限公司 | A kind of building of traffic element portrait and analysis method based on big data technology |
| CN109299088A (en) * | 2018-08-22 | 2019-02-01 | 中国平安人寿保险股份有限公司 | Mass data storage means, device, storage medium and electronic equipment |
| US11379615B2 (en) | 2018-11-08 | 2022-07-05 | At&T Intellectual Property I, L.P. | Event-based community creation for data sharing platform |
| US11995213B2 (en) | 2018-11-08 | 2024-05-28 | AT&T Intellect ual Property I, L.P. | Event-based community creation for data sharing platform |
| CN109754219A (en) * | 2018-12-24 | 2019-05-14 | 广东科源智能科技股份有限公司 | A kind of big data management and analysis platform system based on city management |
| CN110458743A (en) * | 2019-08-12 | 2019-11-15 | 软通动力信息技术有限公司 | Community governance method, apparatus, equipment and storage medium based on big data analysis |
| CN110633297A (en) * | 2019-09-12 | 2019-12-31 | 苏州百宝箱科技有限公司 | Smart city data sharing system |
| CN110826096A (en) * | 2019-10-29 | 2020-02-21 | 杭州趣链科技有限公司 | Data source sharing method based on block chain |
| CN111858796A (en) * | 2020-06-22 | 2020-10-30 | 北京百度网讯科技有限公司 | Geographic information system engine system, implementation method, device and storage medium |
| CN111858796B (en) * | 2020-06-22 | 2023-08-18 | 北京百度网讯科技有限公司 | Geographic information system engine system, implementation method and device and storage medium |
| CN111813770A (en) * | 2020-09-03 | 2020-10-23 | 平安国际智慧城市科技股份有限公司 | Data model construction method and device and computer readable storage medium |
| CN112115221A (en) * | 2020-09-08 | 2020-12-22 | 浙江嘉兴数字城市实验室有限公司 | Multi-factor matching fusion method for block data |
| CN112364003A (en) * | 2020-11-09 | 2021-02-12 | 南威软件股份有限公司 | Big data management method, device, equipment and medium for different industries |
| CN112527882A (en) * | 2020-12-17 | 2021-03-19 | 上海数依数据科技有限公司 | Data acquisition method and device for Internet of things equipment |
| CN112685385A (en) * | 2020-12-31 | 2021-04-20 | 广西中科曙光云计算有限公司 | Big data platform for smart city construction |
| CN112948483A (en) * | 2021-04-30 | 2021-06-11 | 重庆天智慧启科技有限公司 | City big data visualization system |
| CN112948483B (en) * | 2021-04-30 | 2023-09-29 | 重庆天智慧启科技有限公司 | City big data visualization system |
| CN113660338A (en) * | 2021-08-17 | 2021-11-16 | 中国农业银行股份有限公司 | Data interaction method, device and system and server |
| CN113810272A (en) * | 2021-09-29 | 2021-12-17 | 周明升 | Wisdom garden data access gateway |
| CN114925324A (en) * | 2022-05-25 | 2022-08-19 | 北京航空航天大学 | Smart city incomplete data processing system and method based on SCNBMF |
| CN114925324B (en) * | 2022-05-25 | 2024-06-28 | 北京航空航天大学 | SCNBMF-based processing system and SCNBMF-based processing method for incomplete data of smart city |
| CN115017251A (en) * | 2022-08-05 | 2022-09-06 | 山东省计算中心（国家超级计算济南中心） | Standard mapping map establishing method and system for smart city |
| CN115017251B (en) * | 2022-08-05 | 2022-10-25 | 山东省计算中心（国家超级计算济南中心） | Standard mapping map establishing method and system for smart city |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106777110B (en) | 2019-07-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106777110A (en) | A kind of smart city big data integration system and method | |
| Engwicht | Street reclaiming: creating livable streets and vibrant communities | |
| CN101593209B (en) | Alternating type online statistical map generation and releasing device and method thereof | |
| Cheng et al. | Urban land administration and planning in China: Opportunities and constraints of spatial data models | |
| Calafati et al. | Re-defining the boundaries of major Italian cities | |
| CN107894990A (en) | A kind of city general utility functions platform | |
| CN106657260A (en) | Smart community management system | |
| CN104732351A (en) | Province-city-county three-level distributed digital tourism information parallel management system | |
| CN111737393A (en) | Vector data self-adaptive management method and system under web environment | |
| CN104156792A (en) | Land resource data information system | |
| Swanstrom | The nonprofitization of United States housing policy: Dilemmas of community development | |
| Stępniak et al. | Possibilities of using GIS technology for dynamic planning of investment processes in cities | |
| CN106897856A (en) | A kind of department information Top-layer Design Method whole process management system | |
| Pirker et al. | From palimpsest to me-moiré: Exploring urban memorial landscapes of political violence | |
| CN115017244A (en) | Geographic information big data and population data fusion service community management method | |
| Lawrence et al. | Melbourne: the archaeology of a world city | |
| CN1787521A (en) | Method for registration of web covering service coordinate based on web map service | |
| Potesta | Smart Cities and Place Making: The “Sense of Place” in the Implementation of Smart Cities in the Arabian Gulf | |
| Hudson | The multiple temporalities of informal spaces | |
| CN113468146A (en) | Construction method for figuring out basic governing base number based on all elements and all abilities | |
| Dahmann | New approaches to delineating metropolitan and nonmetropolitan settlement: geographers drawing the line | |
| Tsuda | Modern perspectives on ancient migrations | |
| Oakes | The National New Area as an Infrastructure Space: Urbanization and the New Regime of Circulation in China | |
| Kurniati et al. | Strategies for Sustainable Urban Tourism in Kampoeng Batik, Semarang, Indonesia | |
| Scott et al. | Industry mix and 3D urban heterogeneity: Insights into innovation districts |
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 |