CN106777110B - 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
- CN106777110B CN106777110B CN201611160078.5A CN201611160078A CN106777110B CN 106777110 B CN106777110 B CN 106777110B CN 201611160078 A CN201611160078 A CN 201611160078A CN 106777110 B CN106777110 B CN 106777110B
- Authority
- CN
- China
- Prior art keywords
- data
- basic factors
- basic
- library
- sub
- 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
-
- 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 methods, this method comprises: accessing Various types of data source, and are buffered in data buffer area；The data increment in the Various types of data source of data buffer area is cleaned, mapped and converted according to preset unified reference format, normal data is obtained；By normal data classification, there are the different type storage regions of normal data resource pool；It is associated and integrates according to data of the smart city basic factors to normal data resource pool, construct basic factors library, and business special topic library is established according to business demand on the basis of basic factors library.The present invention uses the big data Integration Mode based on element, data in smart city are associated integration according to the element in city, realize the service of the big data based on element, it is easier to carry out data sharing between each department, big data analysis more easily can be carried out based on City factor simultaneously, and preferably carry out big data service for citizen, enterprise etc..
Description
Technical field
The present invention relates to smart cities, and in particular to a kind of smart city big data integration system and method.
Background technique
Smart city refers on the basis of information technology and internet combine, and by various intelligentized applications, mentions
The operational paradigm of urban infrastructure is risen, city operations management is promoted and public service is horizontal, improve people's lives quality.Greatly
Data are to support the important information resource of smart city development, and city operations sign is to carry out quantization by data to show
, data of each department in relation to city operations sign are collected by big data technology, city manager can be helped to carry out data remittance
Always, it analyzes, finally the quantization form (i.e. Various types of data) of city sign is managed；As it can be seen that in city data resource it is whole
Conjunction is that smart city construction primarily solves the problems, such as.
People in city, thing, object, the basic informations such as enterprise be the important big data basic information in each city, it is existing
Db Management Model and Information application mode be a kind of " barrier between different departments " formula management, each relevant departments are only from this department
Angle set out information be managed, achievement data establishes one's own system, and standard is different, and degree of share is poor, cannot assist each other
It adjusts, is shared.With the development of smart city, it is desirable that government allows for the full regional economy of comprehensive, accurate grasp, society's hair
Situation is opened up, strengthens the ability that government department controls information resources for decision making, Information Resources Integration is got over shared demand between government department
Come higher；The disadvantage of " barrier between different departments " formula, isolated information management and application model has shown clue, is on the one hand to cause perhaps
The mostly unnecessary duplication of labour, information cannot be shared between another aspect each department, cannot preferably service the common people.
This patent proposes the construction method of the integration and shared system of the big data based on element, solves big in smart city
The problem of integration of data, shared and service.
Summary of the invention
The technical problem to be solved by the present invention is to current " barrier between different departments " formula, isolated information managements and application model
There is a problem of that the duplication of labour is more, identical achievement data is inconsistent, inter-sectional information sharing is difficult.
In order to solve the above-mentioned technical problem, the technical scheme adopted by the invention is that provide a kind of smart city big data whole
Collaboration system, comprising:
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 temporarily storing the incremental data in Various types of data source in smart city；And to temporarily storing
Data are cleaned, are mapped, are converted, and normal data is obtained；
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 on the basic factors library according to city and each department
Needs construct corresponding application issue library；
Data sharing service bus carries out for externally service all data in basic factors data resource pond
Publication and calling.
In above system, the various data sources in the smart city include the perception data of resource environment, Ge Geguan
The operational data of reason department and the various data on network；
Various types of data source in the smart city enters the number with the batch real-time calculation of non real-time or flow data
According to buffer area.
In above system, the normal data resource pool includes:
Structural data memory block, the various structural datas of storage each department acquisition；
The unstructured data of various videos, audio, document class is stored in unstructured data memory block；
Various city maps and city plan spatial data are stored in space-time data memory block.
In above system,
Number is stored in the form of parallel database or distributed relation database in the structural data memory block
According to；
Unstructured data is stored by the way of file system in the unstructured data memory block；
The space-time data memory block uses the form storing data of space-time database.
The present invention also provides a kind of smart city big data integration methods, comprising the following steps:
The Various types of data source in smart city is accessed, and is buffered in data buffer area；
The data increment in the Various types of data source for being buffered in data buffer area is carried out according to preset unified reference format
Cleaning, mapping and conversion, obtain normal data；
By normal data classification, there are the different type storage regions of normal data resource pool；
On the basis of normal data resource pool, according to smart city basic factors to the data of normal data resource pool into
Row association and integration, construct basic factors library, and establish business special topic library according to business demand on the basis of basic factors library.
In the above-mentioned methods, the storage region type of normal data resource pool include structural data memory block, it is non-structural
Change data storage area and space-time data memory block.
In the above-mentioned methods, complete to the data creation stored in structural data memory block, unstructured data memory block
Text index, index file are stored in Full-text Database, externally provide 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 established to document class data, and index file is stored in Full-text Database, full article retrieval is externally provided；
Non-document class data will index text establishing full-text index in such a way that its structured message is plus filename
Part is stored in Full-text Database, externally provides full article retrieval.
In the above-mentioned methods, basic factors library include with people, thing, object, one-to-one five sons of enterprise's basic factors
Basic factors library；Each subbase plinth element library includes multiple sub- basic factors；Each subbase plinth element library is equipped with a basic letter
Cease table；Each Basic Information Table includes the essential information of all sub- basic factors in corresponding subbase plinth element library.
In the above-mentioned methods, basic factors library foundation specifically includes the following steps:
Step S10, basic factors related service table is found out from normal data resource pool；
Step S20, the Basic Information Table of each sub- basic factors is established；
Step S30, being associated with for Basic Information Table and traffic table is established by critical field；
Step S40, subbase plinth is established by intermediate contingency table between subbase plinth element library within subbase plinth element library
Association between the Basic Information Table of element and the Basic Information Table of other sub- basic factors.
In the above-mentioned methods,
The traffic table is used to save other information other than the essential information of sub- basic factors, and root table is essential information
Table, affiliated traffic table are associated by critical field and root table；
The intermediate contingency table is used to construct the sub- basic factors within subbase plinth element library between subbase plinth element library
Incidence relation；
The foundation of the intermediate contingency table specifically: each subbase plinth element library is with " people, thing, object, enterprise " respectively
Basic factors extract keyword as unit of the sub- basic factors of correspondence to separate sources, different types of basic factors data
Section, constructs the sub- basic factors and the subbase plinth in corresponding subbase plinth element library and other subbase plinth element libraries by critical field
The incidence relation of element forms intermediate contingency table.
The present invention use the big data Integration Mode based on element, by the data in smart city according to city element into
Row association integration, realizes the service of the big data based on element, it is easier to data sharing is carried out between each department, while can be more
Big data analysis is easily carried out based on City factor, and preferably carries out big data service for citizen, enterprise etc..
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of smart city big data integration system provided by the invention；
Fig. 2 is a kind of flow chart of smart city big data integration method provided by the invention.
Specific embodiment
For the business demand angle of smart city, on the one hand, smart city management needs depth integration, analysis number
According to；On the other hand, the smart city moving body under big data environment, which is levied and managed, manages, and needs to carry out city operations situation the receipts of information
Collection and integration；Therefore, it is necessary to beat from integrating existing information resource and providing the angle of unified support for following informatization
The status that each inter-sectional data cannot be shared is broken, the overall management of data information is realized, uniform service, shared shares.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 integration, forms using city basic factors as the city basic factors big data resource pool of core, so as to each management in city
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 specific embodiment with reference to the accompanying drawings of the specification.
As shown in Figure 1, a kind of smart city big data integration system provided by the invention, 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, the various data sources in smart city include the perception data of resource environment (including the structural data monitored
With unstructured data etc., such as data, the monitoring data of air pollution, water monitoring data of weather class etc.), each management
The operational data of department and the various data on network 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 for temporarily storing the incremental data (number of data buffer area in Various types of data source in smart city
It is consistent with data source according to structure)；And the data temporarily stored are cleaned, map, are converted, obtain normal data；It is clear in this way
Wash, map, conversion operation is just just for the data in data buffer area 20, without generating any influence to data source；Due to
What normal data resource pool 30 was stored is therefore to have data to same data according to the normal data of the smart city of standard formulation
Standard carries out data to mark, becomes normal data.
Normal data resource pool 30 stores all normal datas, integrates the basis with service 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；Store the various structural datas of each department's acquisition in structural data memory block；Unstructured data is deposited
Storage area stores the unstructured data of various videos, audio, document class；Space-time data memory block store 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 in library stores data；Unstructured data is stored by the way of file system in unstructured data memory block；Space-time number
The form storing data of space-time database is used according to memory block.
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, object, enterprise) data are associated and are integrated, basis of formation element library, and basic factors library it
On the needs that can be applied according to city and each department construct corresponding application issue library；That is basic factors library and all applications is special
Exam pool constitutes the basic factors data resource pond for externally servicing and sharing, then the data to basic factors library and application issue library
Unified resource inventory is carried out, externally shared and service basic factors data directory is formed.
It mainly stores based on the theme after high speed data processing platform data working process in the application issue library of various themes
Data, in the form of shared service or data access interface form externally services.
Publication and calling of the data sharing service bus 50 to service interface；It is right by providing service-oriented frame mode
The data in all basic factors data resources pond 40 are issued in the form of services and are registered on service bus, for each portion, each government
Door and other application are shared, and data sharing service bus 50 realizes that difference is answered by managing concentratedly to the pragmatic row of data kimonos
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
It is realized by service bus and the service abatement functions such as services publication, calls, registers, subscribes to and route；Basic factors data money
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 obtaining active service address by data sharing service bus 50, the service of service provider offer is called directly.
As shown in Fig. 2, a kind of smart city big data integration method provided by the invention, comprising the following steps:
Various types of data source access in the first step, access smart city, and it is buffered in data buffer area；
Second step, to the data increment in the Various types of data source for being buffered in data buffer area according to preset unified reticle
Formula carries out data cleansing, mapping and conversion, obtains the normal data for meeting unified call format；
Third step, by normal data classification, there are the different type storage regions of normal data resource pool；Normal data money
Store full dose data in source pond.The storage region type of normal data resource pool includes structural data memory block, unstructured number
According to memory block and space-time data memory block.
In the present invention, to the data creation full text stored in structural data memory block, unstructured data memory block
Index, index file are stored in Full-text Database, externally provide full article retrieval；Wherein, unstructured data memory block is non-structural
To change data and is divided into document class and non-document class (such as picture/video), these two types of data files, which are directly deposited in file, to be stored,
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 established by way of adding filename to its structured message, index file, which is stored in after Full-text Database, externally to be provided entirely
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, construct basic factors library, and industry established according to business demand on the basis of basic factors library
The thematic library of business.
In smart city, the basic factors in smart city are divided into " people, thing, object, enterprise " five classes by we, because
This needs to be integrated respectively according to this five basic factors in the Data Integration of smart city, and five big subbase plinth of building are wanted
Plain library, i.e., in the present invention, basic factors library include with people, the corresponding five sub- bases of thing, object, enterprise's basic factors want
Plain library, each subbase plinth element library include that 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 building of each subbase plinth element library needs to establish an essential information
Table, each Basic Information Table include most basic information (such as identity letter of all sub- basic factors in corresponding subbase plinth element library
Breath, background information, social information etc.), it is the root table of its other corresponding satellite information table, for example, the basic letter of a personnel
Cease 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 exists；Traffic table and auxiliary table are associated by critical field and root table.
Sub- basic factors within subbase plinth element library between subbase plinth element library pass through the building association of intermediate contingency table
Relationship, intermediate contingency table record the subbase within each subbase plinth element library between subbase plinth element library as a supplementary table
The incidence relation of plinth element；Foundation for intermediate contingency table, each subbase plinth element library respectively with " people, thing, object, enterprise
Industry " is basic element, to separate sources, different types of basic factors data, is extracted and is closed as unit of the sub- basic factors of correspondence
Key field, and by critical field establish the sub- basic factors in corresponding subbase plinth element library and other subbase plinth element libraries
The incidence relation of sub- basic factors, and be stored in intermediate contingency table.
It can be seen that the foundation in basic factors library specifically includes the following steps:
Step S10, basic factors related service table is found out from normal data resource pool；
Step S20, the Basic Information Table of each sub- basic factors is established；
Step S30, being associated with for Basic Information Table and traffic table is established by critical field；
Step S40, subbase plinth is established by intermediate contingency table between subbase plinth element library within subbase plinth element library
Association between the Basic Information Table of element and the Basic Information Table of other sub- basic factors.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of smart city big data integration system characterized by comprising
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 temporarily storing the incremental data in Various types of data source in smart city；And to the data temporarily stored
It cleaned, mapped, converted, 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 in city to data
It is associated and integrates, basis of formation element library, and the need applied on the basic factors library according to city and each department
Construct corresponding application issue library；
Data sharing service bus carries out for the hair externally serviced all data in basic factors data resource pond
Cloth and calling；
Wherein, basic factors library include with people, one-to-one five thing, object, enterprise's basic factors sub- basic factors libraries；
Each subbase plinth element library includes multiple sub- basic factors；Each subbase plinth element library is equipped with a Basic Information Table；Each base
This information table includes the essential information of all sub- basic factors in corresponding subbase plinth element library；
The foundation in basic factors library specifically:
Basic factors related service table is found out from normal data resource pool；
Establish the Basic Information Table of each sub- basic factors；
Being associated with for Basic Information Table and traffic table is established by critical field；
Within subbase plinth element library between subbase plinth element library, the basic letter of sub- basic factors is established by intermediate contingency table
Cease the association between table and the Basic Information Table of other sub- basic factors.
2. big data integration system in smart city as described in claim 1, which is characterized in that various in the smart city
Data source includes the perception data of resource environment, the operational data of each administrative department and the various data on network；
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 described in claim 1, which is characterized in that the normal data resource pool packet
It includes:
Structural data memory block, the various structural datas of storage each department acquisition；
The unstructured data of various videos, audio, document class is stored in unstructured data memory block；
Various city maps and city plan spatial data are stored in space-time data memory block.
4. big data integration system in smart city as claimed in claim 3, which is characterized in that
Data are stored in the form of parallel database or distributed relation database in the structural data memory block；
Unstructured data is stored by the way of file system in the unstructured data memory block；
The space-time data memory block uses the form storing data of space-time database.
5. a kind of smart city big data integration method, which comprises the following steps:
The Various types of data source in smart city is accessed, and is buffered in data buffer area；
The data increment in the Various types of data source for being buffered in data buffer area is cleaned according to preset unified reference format,
Mapping and conversion, obtain normal data；
By normal data classification, there are the different type storage regions of normal data resource pool；
On the basis of normal data resource pool, closed according to data of the smart city basic factors to normal data resource pool
Connection and integration, construct basic factors library, and establish business special topic library according to business demand on the basis of basic factors library；
All data in basic factors data resource pond are carried out for externally service by data sharing service bus
Publication and calling；
Wherein, basic factors library include with people, one-to-one five thing, object, enterprise's basic factors sub- basic factors libraries；
Each subbase plinth element library includes multiple sub- basic factors；Each subbase plinth element library is equipped with a Basic Information Table；Each base
This information table includes the essential information of all sub- basic factors in corresponding subbase plinth element library；
The foundation in basic factors library specifically includes the following steps:
Step S10, basic factors related service table is found out from normal data resource pool；
Step S20, the Basic Information Table of each sub- basic factors is established；
Step S30, being associated with for Basic Information Table and traffic table is established by critical field；
Step S40, sub- basic factors are established by intermediate contingency table between subbase plinth element library within subbase plinth element library
Basic Information Table and other sub- basic factors Basic Information Table between association.
6. method as claimed in claim 5, which is characterized 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, which is characterized in that structural data memory block, unstructured data memory block
The data creation full-text index of middle storage, index file are stored in Full-text Database, externally provide 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 established to document class data, and index file is stored in Full-text Database, full article retrieval is externally provided；
Non-document class data are deposited index file establishing full-text index in such a way that its structured message is plus filename
Enter Full-text Database, full article retrieval is externally provided.
8. method as claimed in claim 5, which is characterized in that
The traffic table is used to save other information other than the essential information of sub- basic factors, and root table is Basic Information Table, institute
Belong to traffic table to be associated by critical field and root table；
The intermediate contingency table is used to construct the pass of the sub- basic factors within subbase plinth element library between subbase plinth element library
Connection relationship；
The foundation of the intermediate contingency table specifically: each subbase plinth element library is respectively based on " people, thing, object, enterprise "
Element extracts critical field as unit of the sub- basic factors of correspondence to separate sources, different types of basic factors data, leads to
It crosses critical field and constructs the sub- basic factors and the sub- basic factors in corresponding subbase plinth element library and other subbase plinth element libraries
Incidence relation, form intermediate 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 CN106777110A (en) | 2017-05-31 |
| CN106777110B true 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) |
Families Citing this family (23)
| 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 |
| 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 |
| 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 |
| CN110458743B (en) * | 2019-08-12 | 2022-04-29 | 软通智慧信息技术有限公司 | Community management method, device, 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 |
| 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 |
| CN111813770B (en) * | 2020-09-03 | 2021-01-19 | 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 |
| CN112685385B (en) * | 2020-12-31 | 2021-11-16 | 广西中科曙光云计算有限公司 | Big data platform for smart city construction |
| 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 |
| 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 |
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 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 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106777110A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106777110B (en) | A kind of smart city big data integration system and method | |
| Pucci et al. | Mapping urban practices through mobile phone data | |
| Cheng et al. | Urban land administration and planning in China: Opportunities and constraints of spatial data models | |
| CN105976110A (en) | Method and system for managing smart city | |
| Wang et al. | Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China | |
| CN102567862A (en) | Gridding social management information service platform | |
| Piekut et al. | Segregation in the twenty first century: Processes, complexities and future directions | |
| CN111475545A (en) | City base database system for smart city | |
| Kang | Effects of the human and built environment on neighborhood vitality: Evidence from Seoul, Korea, using mobile phone data | |
| Zoppelletto et al. | Cultural and digital collaboration infrastructures as sustainability enhancing factors: A configurational approach | |
| Chen et al. | Using Weibo to track global mobility of Chinese visitors | |
| CN108121707B (en) | Intelligent monitoring system for urban and rural construction big data | |
| CN1787521B (en) | Method for registration of web covering service coordinate based on web map service | |
| CN106682168A (en) | Construction method of visual cross-region urban data query system | |
| CN111190953A (en) | Land resource information management system based on Internet of things | |
| Queirós et al. | Gender equality and the City: a methodological approach to mobility in space-time | |
| CN110728454A (en) | Individual trip analysis system | |
| Potesta | Smart Cities and Place Making: The “Sense of Place” in the Implementation of Smart Cities in the Arabian Gulf | |
| Tang | Design and research of intelligent community management system based on intelligent internet of things | |
| Dahmann | New approaches to delineating metropolitan and nonmetropolitan settlement: geographers drawing the line | |
| CN110659437A (en) | City wisdom advertisement design exchanges information system | |
| CN112948933A (en) | House model construction method, house model display method, house model management device, and storage medium | |
| CN112308369A (en) | Intelligent community management and employment service platform | |
| CN1787522B (en) | Method for registration of web key element service coordinate based on web map service | |
| Lin et al. | Design and Implementation of Lujiazui Land Management Information System Based on WebGIS |
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 |