CN115098610A - Block data management system - Google Patents
Block data management system Download PDFInfo
- Publication number
- CN115098610A CN115098610A CN202210738742.9A CN202210738742A CN115098610A CN 115098610 A CN115098610 A CN 115098610A CN 202210738742 A CN202210738742 A CN 202210738742A CN 115098610 A CN115098610 A CN 115098610A
- Authority
- CN
- China
- Prior art keywords
- block
- data
- service
- map
- space
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013523 data management Methods 0.000 title claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 46
- 238000010276 construction Methods 0.000 claims abstract description 26
- 230000006870 function Effects 0.000 claims abstract description 14
- 238000007781 pre-processing Methods 0.000 claims abstract description 10
- 238000013507 mapping Methods 0.000 claims abstract description 5
- 238000007726 management method Methods 0.000 claims description 43
- 238000012423 maintenance Methods 0.000 claims description 17
- 238000001514 detection method Methods 0.000 claims description 14
- 230000002776 aggregation Effects 0.000 claims description 13
- 238000004220 aggregation Methods 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000004140 cleaning Methods 0.000 claims description 5
- 230000000903 blocking effect Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 3
- 230000002123 temporal effect Effects 0.000 claims description 2
- 230000004927 fusion Effects 0.000 abstract description 4
- 238000000034 method Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 4
- 230000006872 improvement Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000013075 data extraction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 241001461113 Protoneuridae Species 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000004141 dimensional analysis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000004441 surface measurement Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
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
- G06F16/29—Geographical information databases
-
- 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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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)
- Computational Linguistics (AREA)
- Remote Sensing (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a block data management system, comprising: the preprocessing module is used for associating the space-time grid data based on the preset relation of the spatial block data and updating the associated space-time grid data to the geographic entity block; the data block construction module is used for constructing a basic block based on the normalized data to obtain the basic block, constructing a business block based on the acquired business type and business data, and mapping the basic block and the business block to a geographical entity block; the block data management and service module is used for managing block data, providing corresponding data block application and service based on the block data, and providing corresponding output block data based on user selection, wherein the block data comprises space blocks, basic blocks and/or business block data; and the block map module is used for providing the functions of block data display, query, analysis and statistics and map. And carrying and fusion display of multi-source data are realized.
Description
Technical Field
The invention relates to the field of data management, in particular to a block data management system.
Background
The block data is the synthesis of various data related to people, affairs, objects and the like formed in a physical space or an administrative region, and is equivalent to deconstructing, intersecting and fusing various 'data'. By applying the block data, the data can be mined to have higher and more values. For example, the strip data from each data resource is cleaned and processed according to the address information of the strip data, and then the aggregation and fusion of the strip data are realized through space blocks such as units, buildings, communities and the like.
The space-time block data is widely considered as a mark of the real arrival of a big data era, the space-time block data construction is used as a guide, a trans-regional, trans-department and trans-hierarchy information sharing and linkage mode is constructed, the data flow drives the business flow and the service flow, so that government affair services and related business processes are optimized and reproduced, the traditional collection mode depending on data exchange sharing is changed, and a city-wide social governance data resource overall utilization and co-construction sharing system is formed.
The most advantage of the block data management is that the advantages of a space-time platform are exerted, and city management and social governance working units are refined. The social management refinement and the information construction are inseparable, huge data resources are fused, blocked and refined by fully playing the roles of information technologies such as geographic spatial information and cloud computing in the social management refinement, and fall to units, buildings, cells and communities, so that maps, grids, data in the grids and related personnel are automatically associated through blocks, and the grid data and a department professional business system are shared.
The inventor finds that the space-time definition of the block data in the prior art has no uniform standard and specification, is different from person to person and depends on projects, the block data cannot be commonly used among the projects, and time and labor are wasted in increasing, deleting and checking.
The data in the space-time grid block data is various in types, the services such as sharing, exchanging and distributing of the data are inconvenient, the data query and retrieval efficiency is low, and the development, application and management difficulty for the space-time grid block data is high.
Disclosure of Invention
The invention provides a block data management system, which at least partially solves the problems of inconvenient services such as data sharing, data exchange, data distribution and the like and low data query and retrieval efficiency caused by various data types.
The invention provides a block data management system, comprising:
the system comprises a preprocessing module, a data block construction module, a block data management and service module and a block map module;
the preprocessing module is used for associating the space-time grid data based on the preset relation of the spatial block data and updating the associated space-time grid data to the geographic entity block;
the preprocessing module comprises: a space block relation maintenance submodule and a geographic entity block management submodule;
the space block relation maintenance submodule is used for associating the space-time grid data according to the preset relation among the space block data, establishing the association relation of the space-time grid data, generating a grid index large table comprising space grid codes and maintaining the space information and the attribute information of the data;
the data block construction module is used for constructing a basic block based on the normalized data to obtain a basic block, constructing a business block based on the obtained business type and business data, and mapping the basic block and the business block to a geographical real block;
the block data management and service module is used for managing block data, providing corresponding data block application and service based on the block data, and providing corresponding output block data based on user selection, wherein the block data comprises space blocks, basic blocks and/or business block data;
and the block map module is used for providing the functions of block data display, query, analysis and statistics and map.
Optionally, the geographic entity block management submodule is configured to maintain geographic entity vector data, and call the space block relationship maintenance submodule to update the association relationship of the space block in the geographic entity.
Optionally, the preset relationship is generated in advance according to spatial position information of the component of the article or the object itself, or is preset according to different types of data.
Optionally, the data block building module includes: a drop map block submodule and a data block construction submodule;
the map-falling and block-entering submodule is used for establishing association between data and block data, identifying association information, initially establishing a database of a data storage centralized block falling and block data, providing a query selection service of a unified address, and realizing address information standardization of service data, wherein the association information comprises a unified address code;
the data block construction submodule is used for constructing a basic block and a service block, the basic block construction comprises the steps of completing unified address coding and code assigning of space-time grid data by using an address cleaning and matching tool provided by a unified address coding library, associating the unified address coding with a grid index large table, and establishing a coding association index, wherein the service block construction comprises service type maintenance and service data block entering.
Optionally, the service data entering block includes:
detecting service data to be blocked by using collision detection, wherein the service data comprises address information or geographic coordinates;
selecting an incoming block service type;
automatically establishing a service data coding association index based on the detected service data and the type of the incoming block service;
and detecting abnormal data information in the service data code association index.
Optionally, the drop map block submodule includes: manual block placement and block map positioning;
the manual block dropping selects related data on a map for the service data block dropping with failed address matching to complete the address matching of the service data;
and positioning the block map, and providing map positioning for the service data completing address matching.
Optionally, the drop map block submodule is further configured to perform data check, where the data check includes collision detection and abnormal feedback; before data is subjected to block entry, completing building of a spatial database, completing data warehousing and collision detection in batches, and providing a standard address matching service interface; and the abnormal feedback is to sum according to the service types of the data so as to count the service data which cannot be subjected to batch block falling, and feed back the service data which cannot be subjected to batch block falling.
Optionally, the block data management and service module includes a block data service module and a data output module;
the block data service comprises block data query, block data display, block data distribution, data perspective service, calculation model service, multidimensional analysis data service, social relation network service, Web slice map service, Web element service, thematic map service, three-dimensional model service, path analysis service space processing service, block service interface information table construction, block data writing and outputting service interface information management interface and/or start-stop service on the block service interface information management interface;
and after the data output block is the data input block, selecting a space block, a service block and a basic block to form output block data.
Optionally, the data extraction block includes a block extraction service, and the block extraction service includes a data perspective service, a multidimensional analysis data service, a social relationship network service, a Web element service, a block aggregation analysis service, and/or a block relationship graph service;
the block aggregation analysis service is space-oriented block, basic block and business block data, focuses on a setting object, and provides aggregation analysis of social management element data including space data and attribute data based on a document type object with a multi-dimensional nested incidence relation established.
Optionally, the block map module provides two-dimensional and three-dimensional integrated block data display, query, analysis statistics, map plotting, map preview, block map browsing, block map query, block map analysis and block map layer management,
wherein the map preview comprises presentation and analysis of temporal data.
According to the block data management system provided by the invention, the space-time grid data is associated based on the preset relation of the space block data, the base block is constructed based on the normalized data, the grid is drawn on the basis of the map system, the grid model is established, and the space-time grid block data with various data types is normalized, so that the problems of inconvenient services such as data sharing, exchange and distribution and the like caused by various data types and low data query and retrieval efficiency are solved, and the bearing and fusion display of multi-source data are realized.
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the disclosure, nor is it intended to be used to limit the scope of the disclosure.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the disclosure.
FIG. 1 illustrates a functional block diagram of a block data management system provided by an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a block data usage reference provided in an embodiment of the present invention.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The term "include" and variations thereof as used herein is meant to be inclusive in an open-ended manner, i.e., "including but not limited to". Unless specifically stated otherwise, the term "or" means "and/or". The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first," "second," and the like may refer to different or the same object. Other explicit and implicit definitions are also possible below.
Description of the terms: the buffer area query is to form a buffer area polygon according to a point, line and surface buffer distance given by a user, and then to retrieve the space entity in the buffer area according to the polygon retrieval principle.
The improvement of the association capability means that the intelligent association capability is urgently required to be improved among the existing databases, including population, objects, components, basic geographic information and the like. The improvement of the communication capacity means that the community committee, the owner committee and the property do not form intelligent interaction, and the intelligent linking capacity is urgently required to be improved among the community committee, the owner committee and the property. The interactive capability improvement means that the intelligent interactive capability of systems such as grid member system, basic party member system, volunteer system and the like is required to be improved urgently.
In the embodiment of the invention, the grid division and coding are specified by referring to the national standard ' Earth space grid coding rule (GB/T40087-2021) ' and the Beidou grid position code (GB/T39409-2020) '. According to Beidou grid position codes, grids are drawn on the basis of the existing map system, and a seamless nested, multi-level dynamic and three-dimensional grid model is formed. The grid codes represent position information of geographic elements, each grid is a data bearing unit, and bearing and fusion display of multi-source data can be achieved. When the external data changes, the grid properties also change.
The block data management system of the embodiment provides visual display and management of block data with time and space characteristics, provides support for development of block data visualization applications by departments, and improves visual presentation capacity of data analysis.
As shown in fig. 1, a block data management system includes:
the system comprises a preprocessing module, a data block construction module, a block data management and service module and a block map module;
the preprocessing module is used for associating the space-time grid data based on the preset relation of the space block data and updating the associated space-time grid data to the geographic entity block;
a pre-processing module comprising: the system comprises a space block relation maintenance submodule and a geographic entity block management submodule;
the space block relation maintenance submodule is used for associating the space-time grid data according to the preset relation among the space block data, establishing the association relation of the space-time grid data, generating a grid index large table comprising space grid codes and maintaining the space information and the attribute information of the data; the attribute information includes attribute information such as a name and a code.
And the space block relation maintenance submodule is used for associating the space-time grid data and establishing a relation according to the preset relation among various types and/or all levels of data of the space block, generating a grid index large table comprising space grid codes, and maintaining the space information and the related attribute information of various types and/or all levels of data. In a specific application scenario, the method may include: city boundary data management, which is to maintain spatial information of city boundaries, and attribute information such as names and codes by associating space-time grid data; managing zone boundary data, maintaining spatial information of zone boundaries, name, code and other attribute information by associating space-time grid data, and establishing a relation with city boundary data upwards; managing street boundary data, maintaining spatial data of street boundaries and attribute information such as names and codes by associating space-time grid data, and establishing a relation with region boundary data upwards; managing community boundary data, maintaining spatial data of community boundaries and attribute information such as names and codes by associating space-time grid data, and establishing a relationship with street boundary data upwards; basic grid data management, namely, maintaining spatial data of a basic grid, name, code and other attribute information by associating space-time grid data, and meanwhile, upwards establishing a relation with community boundary data; building data management, namely maintaining spatial data of a building and attribute information such as names and codes by associating the spatial-temporal grid data, and simultaneously establishing a relation with basic grid data upwards; building data management, namely maintaining the name, floor, code and other attribute information of the building data by associating space-time grid data, and simultaneously establishing a relationship with the building data upwards; and (3) house data management, namely, maintaining attribute information such as names, codes and the like of the house data by associating the space-time grid data, and simultaneously upwards establishing a relation with the building data.
The preset relationship is generated in advance according to spatial position information of the self component of the object or object, or is preset according to different types of data.
That is, the preset relationship may be generated in advance based on spatial position information of the component of the object or object itself, or may be set in advance according to different types of data, such as city/district, street, community, building, and the like. The preset relationship in this embodiment is only an example, and is not limited to the two types of preset relationships, the association relationship of the spatio-temporal grid at this position is only one association relationship among various types of data, and the association relationship may also be a more complex, multi-source, data modeling-based association relationship, and may be set according to a specific application scenario.
And the geographic entity block management submodule is used for maintaining the geographic entity vector data and calling the space block relationship maintenance submodule to update the association relationship of the space blocks in the geographic entity.
The management of the geographic entity block is to maintain geographic entity vector data consisting of points, lines and planes, issue the maintained geographic entity, call a spatial block relationship maintenance module and update the spatial block unit relationship. Maintenance of the geographically solid blocks is performed by capturing thread ends, thread middles, thread tails, etc.
The data block construction module is used for constructing a basic block based on the normalized data to obtain a basic block, constructing a business block based on the obtained business type and business data, and mapping the basic block and the business block to a geographical entity block.
A data block building module comprising: a drop block submodule and a data block building submodule.
The map-falling and block-entering submodule is used for establishing association between data and block data and identifying association information, is used for initially establishing a database of a data storage data set falling block and block data, provides a query selection service of a unified address, and realizes address information standardization of service data, wherein the association information comprises a unified address code.
The data falling map entering block is mainly used for establishing association between various data and block units, identifying associated information such as unified address codes and the like, is used for initially establishing a database of falling blocks and block databases in a stock data set, simultaneously provides a unified address query selection service for a business system, realizes address information standardization of business data from a source, and realizes source entering block, and a falling map entering sub-module comprises address retrieval and address matching functions.
Optionally, the drop map block submodule includes: manual drop and block map positioning.
The manual block dropping selects related data on a map for the service data block dropping with failed address matching to complete the address matching of the service data; the manual block dropping is the block dropping capability provided for the service data with failed address matching, and the selection of data such as city-district-street-community-basic grid-building-house and road, street, district and the like is provided on an electronic map to complete the association matching of the service data.
And positioning the block map, and providing map positioning for the service data completing address matching. The block map positioning is to provide the map positioning function for the service data completing the address matching, so that the operator can browse and check the data.
Optionally, the drop map block submodule is further configured to perform data check, where the data check includes collision detection and abnormal feedback; before data is subjected to block entry, completing building of a spatial database, completing data warehousing and collision detection in batches, and providing a standard address matching service interface; and the abnormal feedback is used for counting the service data which cannot be subjected to batch block falling according to the service type summation of the data and feeding back the service data which cannot be subjected to batch block falling.
The data check includes collision detection and anomaly feedback. The collision detection means that in the stage before data is blocked, a geographic information software platform is used for completing the building of a spatial database, an ETL tool is used for completing the storage of batch data and the collision detection work, and a standard address matching service interface is provided. The abnormal feedback refers to summing according to the service types of the data to be used for counting and outputting the service data which cannot be subjected to batch block falling, and the data which cannot be subjected to batch block falling can be fed back to a related system or can be left as a problem.
The data block construction submodule is used for constructing a basic block and constructing a business block, the basic block construction comprises the steps of completing unified address coding and code assignment of space-time grid data by using an address cleaning and matching tool provided by a unified address coding library, associating the unified address coding with a grid index large table, and establishing a coding association index, wherein the business block construction comprises business type maintenance and business data block entry.
The basic block construction refers to standardizing data through an ETL data cleaning tool according to basic data such as population, legal persons, components, communication and the like, namely, completing unified address coding and assigning of the space-time data by using an address cleaning and matching tool provided by a unified address coding library, associating the unified address coding with a grid index large table, and establishing a coding association index. For example: entering a space block according to the population address information; and entering the space block according to the address information of the communication number.
The service block construction comprises service category maintenance and service data block entering. And the service type maintenance realizes the operations of adding, modifying, deleting and the like to the service types. And the business data blocking is to continuously perform the blocking operation of the data by using the functions provided by the falling image blocking submodule and the big data computing platform and update and maintain the blocked data.
Optionally, the service data entering block includes:
detecting service data to be blocked by using collision detection, wherein the service data comprises address information or geographic coordinates;
selecting an incoming block service type;
automatically establishing a service data coding association index based on the detected service data and the type of the incoming block service;
and calling an 'abnormal feedback' module to detect abnormal data information in the business data code association index.
The block data management and service module is used for managing block data, providing corresponding data block application and service based on the block data, and providing corresponding output block data based on user selection, wherein the block data comprises space blocks, basic blocks and/or business block data.
Various types of data resources in the block data are provided externally in a service mode. The service is an outlet for externally sharing the block data and the calculation model, provides various data services and model services for an application system to use, and controls the access authority of the service. The core service exists in the form of data and analysis function service, and provides multiple block data services such as two-dimensional and three-dimensional map visualization, query and analysis, data editing and the like for users.
Optionally, the block data management and service module includes a block data service module and a data output module;
the block data service comprises block data query, block data display, block data distribution, data perspective service, calculation model service, multidimensional analysis data service, social relationship network service, Web slice map service, Web element service, thematic map service, three-dimensional model service, path analysis service space processing service, block output service interface information table construction, block output service interface information management interface compiling and/or start-stop service on the block output service interface information management interface.
The block data service is mainly used for constructing centralized management and supporting multi-user block data application and service, comprises block data query, block data display and block data distribution, can provide multiple services such as data perspective service, calculation model service, multi-dimensional analysis data service, social relationship network service, Web slice map service, Web element service, thematic map service, three-dimensional model service, path analysis service, space processing service and the like for users, and supports cross-platform deployment and cluster management. The block data service includes: the method comprises the steps of constructing a block output service interface information table, compiling a block output service interface information management interface, and starting and stopping service on the block output service interface information management interface. As shown in particular in fig. 2.
And after the data output block is the data input block, selecting a space block, a service block and a basic block to form output block data.
The data output block refers to that after data is completely input into a block, a space block, a service block and a basic block can be comprehensively selected according to actual service or user requirements to form output block data of the block, so that different types of output block services can be provided and issued. Spatial chunk selection refers to selecting spatial chunks of interest, including queries and previews of spatial chunks. Base block and traffic block selection refers to selecting one or more base blocks or traffic blocks of interest.
Optionally, the data extraction block includes a block extraction service, and the block extraction service includes a data perspective service, a multidimensional analysis data service, a social relationship network service, a Web element service, a block aggregation analysis service, and/or a block relationship graph service. The data perspective service refers to the inquiry service (block data) issued as the management element for each business system to carry out business handling work. The multidimensional analysis data service refers to issuing management element statistical analysis service (block data) for multidimensional data analysis of each application system and providing block data statistical analysis service. The social relation network service refers to the analysis of social relation networks of people or organizations, and the association relations among people, organizations and organizations, and provides support for related data analysis and business decision. The Web element service refers to an OGC Web element service that allows a user terminal to obtain geospatial data encoded using a geomarkup language (GML) from a plurality of Web element services. The block aggregation analysis service is oriented to space blocks, basic blocks and business block data, focuses on setting objects, and provides aggregation analysis of social management element data including space data and attribute data based on document objects establishing multi-dimensional nested association relations. The specific block aggregation analysis service is oriented to space block, basic block and business block (government affair spatio-temporal information resource data block) data, takes 'house' as focus, and provides aggregation (statistical) analysis capability of various social management element data including space data and attribute data based on document objects establishing multi-dimensional nested association relation. The block relational graph service is oriented to space blocks, basic blocks and business block data, and based on the associative relation network graph model of different dimensions among various social management elements, the block relational graph service realizes the inquiry of various social management element information related to the social management elements by taking any type of social management elements as a starting point, and provides accurate inquiry, space inquiry, aggregation statistical inquiry and cascade recursive inquiry capabilities containing space data and attribute data. For example, a list of people with party identities in a floating population living in a certain community, a situation where a tenant living in a building 302 of a No. 2 building 302 of a certain community transacts business at each business gate of the government within five years, and the like are queried.
And the block map module is used for providing the functions of block data display, query, analysis and statistics and map.
Optionally, the block map module provides two-dimensional and three-dimensional integrated block data display, query, analysis statistics, map plotting, map preview, block map browsing, block map query, block map analysis, and block map layer management.
The block map module is used as an entrance for displaying the whole resources of the block data center, and mainly provides functions of displaying, inquiring, analyzing and counting block data and plotting a map, wherein the functions of displaying, inquiring, analyzing and counting block data and plotting a map are integrated in two dimensions and the function of previewing the map highlights the display and analysis capability of tense data.
The block map module includes: block map browsing, block map querying, block map analysis, and block map layer management. The block map browsing provides a block data browsing function based on a map, and realizes information display of internal association of block data, and the method specifically comprises the following steps: browsing and displaying spatial block data such as city-district-street-community-basic grid-building-house information, electronic map and the like; browsing basic block data of people, houses, legal people, events and the like; and browsing data of service blocks (government affair space-time information resource data blocks) such as work grids, responsibility departments/personnel, educational areas and the like. The block map query mainly comprises the following information query: and modes such as specified type information query, keyword query, buffer query and the like are supported. The block map analysis function comprises ranging, surface measurement, height measurement, elevation measurement, buffer analysis, superposition analysis, difference analysis, merging analysis, map positioning, event historical data comparison analysis, comparison analysis according to time, space and attributes and the like. Map positioning: and modes such as administrative division positioning, coordinate positioning, interest point positioning and the like are supported. The block map layer management means that layers of each view of the current block data map are managed, and display and hiding, upward and downward shifting, temporary layer or data overlapping functions and the like are provided.
The block data management system disclosed in the present embodiment has the following effects:
1. the method comprises the steps of constructing a space-time grid block data management system based on Beidou grid codes, constructing a block data management and service system aiming at space-time grids, dividing space-time grid block data, solving the problems that the data in the space-time grid block data are various in types and services such as sharing, exchanging and distributing of data cannot be guaranteed, reducing the difficulty of development, application and management aiming at the space-time grid block data, organizing management data, inquiring retrieval data and distributing data by blocks under the condition of standardizing the space boundary of the blocks, enabling the application and management of the space-time block data to be convenient and systematized, enabling the space-time block data to be capable of adapting to more different scenes, and providing efficient and accurate data service for users.
2. The system is based on the Beidou meshing technology, and forms a novel data management framework which takes a space as a management object and takes various types of data falling into the space as attributes. The system encapsulates the data sets falling into the same grid to form a standard block data set, standardizes the space-time definition of the blocks, and can flexibly realize the user-oriented 'slice' -type data calling as required through the combination of the grid and the grid. Through service block management, the inherent consistency of data, service and management is realized through the mapping relation between the grids corresponding to the service blocks and the Beidou grid codes.
3. The block data in the system is integrated with various types of data of a plurality of traditional layers, and is divided according to the urban business grid unit or the Beidou grid unit, so that the data can be aggregated and shared according to the use scene, and the intelligent association capability, the intelligent communication capability and the intelligent interaction capability based on the space-time data are improved.
4. The system carries out data correlation of spatial grids aiming at various data of city-district-street-community-basic grid-building and data of roads, street lanes, districts and the like to obtain refined bottom layer data.
5. In the process of business data entering, a collision detection module is called to detect business data, address information or geographic coordinates to be entered into a block and an abnormal feedback module is called to detect abnormal data information, so that the data entering is comprehensive and accurate.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A block data management system, comprising:
the system comprises a preprocessing module, a data block construction module, a block data management and service module and a block map module;
the preprocessing module is used for associating the space-time grid data based on the preset relation of the spatial block data and updating the associated space-time grid data to the geographic entity block;
the preprocessing module comprises: the system comprises a space block relation maintenance submodule and a geographic entity block management submodule;
the space block relation maintenance submodule is used for associating the space-time grid data according to the preset relation among the space block data, establishing the association relation of the space-time grid data, generating a grid index large table comprising space grid codes and maintaining the space information and the attribute information of the data;
the data block construction module is used for constructing a basic block based on the normalized data to obtain the basic block, constructing a business block based on the obtained business type and business data, and mapping the basic block and the business block to a geographical entity block;
the block data management and service module is used for managing block data, providing corresponding data block application and service based on the block data, and providing corresponding output block data based on user selection, wherein the block data comprises space blocks, basic blocks and/or business block data;
and the block map module is used for providing the functions of block data display, query, analysis and statistics and map.
2. The block data management system according to claim 1, wherein the geographic entity block management submodule is configured to maintain geographic entity vector data and invoke the spatial block relationship maintenance submodule to update the association relationship of the spatial block in the geographic entity.
3. The block data management system according to claim 2, wherein the predetermined relationship is generated in advance based on spatial position information of a component of the object or the object itself, or is set in advance based on different types of data.
4. The block data management system of claim 1, wherein the data block building module comprises: a drop map block submodule and a data block construction submodule;
the map-falling and block-entering submodule is used for establishing association between data and block data, identifying association information, initially establishing a database of a data storage centralized block falling and block data, providing a query selection service of a unified address, and realizing address information standardization of service data, wherein the association information comprises a unified address code;
the data block construction submodule is used for constructing a basic block and constructing a business block, the basic block construction comprises the steps of completing unified address coding and code assignment of space-time grid data by using an address cleaning and matching tool provided by a unified address coding library, associating the unified address coding with a grid index large table, and establishing a coding association index, wherein the business block construction comprises business type maintenance and business data block entry.
5. The block data management system of claim 4, wherein said entering of service data into blocks comprises:
detecting service data to be blocked by using collision detection, wherein the service data comprises address information or geographic coordinates;
selecting an incoming block service type;
automatically establishing a service data coding association index based on the detected service data and the type of the incoming block service;
and detecting abnormal data information in the service data code association index.
6. The block data management system of claim 4, wherein the drop map block submodule comprises: manually positioning the falling blocks and the block map;
the manual block dropping selects related data on a map for the service data block dropping with failed address matching to complete the address matching of the service data;
and positioning the block map, and providing map positioning for the service data completing address matching.
7. The block data management system of claim 4, wherein the drop-into-block submodule is further configured for data checking, the data checking including collision detection and exception feedback; before the collision detection is data blocking, completing building a spatial database, completing data warehousing and collision detection in batches, and providing a standard address matching service interface; and the abnormal feedback is to sum according to the service types of the data so as to count the service data which cannot be subjected to batch block falling, and feed back the service data which cannot be subjected to batch block falling.
8. The block data management system of claim 1, wherein the block data management and services module comprises a block data service and a data out block;
the block data service comprises block data query, block data display, block data distribution, data perspective service, calculation model service, multidimensional analysis data service, social relation network service, Web slice map service, Web element service, thematic map service, three-dimensional model service, path analysis service space processing service, block service interface information table construction, block data writing and outputting service interface information management interface and/or start-stop service on the block service interface information management interface;
and after the data output block is the data input block, selecting a space block, a service block and a basic block to form output block data.
9. The block data management system of claim 8, wherein the data chunking comprises chunking services comprising data perspective services, multidimensional analysis data services, social relationship network services, Web element services, chunk aggregation analysis services, and/or chunk relationship graph services;
the block aggregation analysis service is space-oriented block, basic block and business block data, focuses on a setting object, and provides aggregation analysis of social management element data including space data and attribute data based on a document type object with a multi-dimensional nested incidence relation established.
10. The block data management system of claim 1, wherein the block map module provides two-dimensional and three-dimensional integrated block data display, query, analysis statistics, map plotting, map preview, block map browsing, block map query, block map analysis, and block map layer management,
wherein the map preview comprises presentation and analysis of temporal data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210738742.9A CN115098610A (en) | 2022-06-28 | 2022-06-28 | Block data management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210738742.9A CN115098610A (en) | 2022-06-28 | 2022-06-28 | Block data management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115098610A true CN115098610A (en) | 2022-09-23 |
Family
ID=83294665
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210738742.9A Pending CN115098610A (en) | 2022-06-28 | 2022-06-28 | Block data management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115098610A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117150091A (en) * | 2023-11-01 | 2023-12-01 | 四川易利数字城市科技有限公司 | Pretreatment refined city space information map inversion method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106610958A (en) * | 2015-10-21 | 2017-05-03 | 星际空间（天津）科技发展有限公司 | Integrated management system of geographic information data |
| CN112860689A (en) * | 2021-01-11 | 2021-05-28 | 北京旋极伏羲科技有限公司 | Platform system based on space-time grid data |
| CN114116942A (en) * | 2021-11-30 | 2022-03-01 | 深圳航天智慧城市系统技术研究院有限公司 | Space-time resource block data management method and system thereof |
-
2022
- 2022-06-28 CN CN202210738742.9A patent/CN115098610A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106610958A (en) * | 2015-10-21 | 2017-05-03 | 星际空间（天津）科技发展有限公司 | Integrated management system of geographic information data |
| CN112860689A (en) * | 2021-01-11 | 2021-05-28 | 北京旋极伏羲科技有限公司 | Platform system based on space-time grid data |
| CN114116942A (en) * | 2021-11-30 | 2022-03-01 | 深圳航天智慧城市系统技术研究院有限公司 | Space-time resource block data management method and system thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117150091A (en) * | 2023-11-01 | 2023-12-01 | 四川易利数字城市科技有限公司 | Pretreatment refined city space information map inversion method |
| CN117150091B (en) * | 2023-11-01 | 2024-01-02 | 四川易利数字城市科技有限公司 | Pretreatment refined city space information map inversion method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110199273B (en) | System and method for loading, aggregating and bulk computing in one scan in a multidimensional database environment | |
| CN112860689B (en) | Platform system based on space-time grid data | |
| US11720606B1 (en) | Automated geospatial data analysis | |
| CN105045820A (en) | Method for processing video image information of mass data and database system | |
| CN111221867B (en) | Protective building information management system | |
| CN105931014A (en) | Gridding management service system and method for town community | |
| US20130304725A1 (en) | Systems and methods for dynamically selecting graphical query result display modes | |
| Abel et al. | Spatial join strategies in distributed spatial DBMS | |
| CN101271455A (en) | Visible data information application system and its application method | |
| CN109254901A (en) | A kind of Monitoring Indexes method and system | |
| CN101276347A (en) | Visualizing system and method of data information | |
| CN110888930A (en) | Financial knowledge inquiry service interface design and implementation method based on knowledge map | |
| CN108268614A (en) | A kind of distribution management method of forest reserves spatial data | |
| CN115098610A (en) | Block data management system | |
| CN110287508A (en) | A kind of visualization emerging system of multi-source D Urban model | |
| CN112527916A (en) | Grid visual definition and intelligent feature analysis method based on remote sensing image | |
| CN117216038A (en) | Asset data management system | |
| CN112214483A (en) | Method and device for analyzing, associating, storing and accessing data in urban information model | |
| CN115658779B (en) | Population data display method and device | |
| CN115587084A (en) | Comprehensive management system and method for geographic information data | |
| CN111382165A (en) | Mobile homeland management system | |
| CN115309747A (en) | Fire fighting management method and platform based on spatial grid data and electronic equipment | |
| CN114443798A (en) | Distributed management system and method for geographic information data | |
| Li et al. | Research on visual logistics big data information service system | |
| CN110750608A (en) | Spatial data analysis automatic scheduling method based on rule base |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220923 |