CN109189999A - A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial - Google Patents
A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial Download PDFInfo
- Publication number
- CN109189999A CN109189999A CN201810832873.7A CN201810832873A CN109189999A CN 109189999 A CN109189999 A CN 109189999A CN 201810832873 A CN201810832873 A CN 201810832873A CN 109189999 A CN109189999 A CN 109189999A
- Authority
- CN
- China
- Prior art keywords
- data
- library
- spatial
- spatio
- incremental
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial, comprising the following steps: S1 analyzes initial data, and creation Spatio-Temporal Data Model for Spatial simultaneously carries out background data storage;S2 is updated editor to the data issued in library, by the label to more new state and renewal time, obtains incremental update packet;Incremental update data are committed to temporary library by S3, check incremental data by the element in matching temporary library and trend of the times library, and the update storage of incremental data is executed if inspection passes through;S4 extracts the incremental update data of specified time, spatial dimension according to the comparison browsing for updating front and back data, and the linkage for other databases updates.The utility model has the advantages that can be improved data updating efficiency, the integrated mechanism of production with management is established, the quick and precisely backtracking of space-time data and checking for element timing information can be reached.
Description
Technical field
The present invention relates to mapping and area of geographic information, it particularly relates to a kind of basis based on Spatio-Temporal Data Model for Spatial
The updating maintenance method of geographical vector data.
Background technique
Novel foundation mapping must make full use of 3S (remote sensing (Remote Sensing), global position system GPS
The abbreviation of (Global Position System) and GIS-Geographic Information System (Geographic Information System))
And its new and high technology of the newest maturation in corresponding field, the mechanism that foundation dynamically updates, realize the update that links in real time or quasi real time.
Traditional data refresh mode is all based on the update of all standing alternate form, although this mode can solve periodicity
It upgrades demand with annual, but the shortcomings that there are following several respects:
First is that updating, low efficiency, the update cycle is long, data redundancy is big;
Second is that being difficult to obtain the historical data of any time node, timing variations analysis and information excavating are limited;
With the implementation of national strategy, the construction of more and more geographic information databases towards different application field is had, is not had
There is practicable data-updating method that will be difficult to the immense value that effectively performance geography information contains.
For the problems in the relevant technologies, currently no effective solution has been proposed.
Summary of the invention
For above-mentioned technical problem in the related technology, the present invention proposes a kind of vector dynamic based on Spatio-Temporal Data Model for Spatial
Update method can be improved data updating efficiency, establishes the integrated mechanism of production with management, can reach the quick of space-time data
Accurate backtracking and element timing information are checked.
To realize the above-mentioned technical purpose, the technical scheme of the present invention is realized as follows:
A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial, this method comprises:
The vector data that each tense is stored by Spatio-Temporal Data Model for Spatial, trend of the times library, storage including storing newest temporal data
The increment library of delta data and the version repository for storing clear timing node.The association of element is between each library of Spatio-Temporal Data Model for Spatial
By the unique identification FID, FID of element as full library exclusive identification code, the retrospect for more new data provides foundation.
It relies on data production software to be updated editor to the background vector data moved out in library, variation element is carried out more
The mark of new state and the record of renewal time, wherein more new state includes to increase, delete, figure modification, scheming to belong to modification, attribute
Modification, to obtain updated data.
Incremental data is extracted and updates storage inspection: updated core elements status indicator content in analysis data, wants described in judgement
Element updates whether status indicator content meets the requirement for updating information extraction, checks the model storage organization and geometry of more new data
Whether expression meets the requirement of incremental update data.The increment updated core elements time has been not present earlier than trend of the times library or trend of the times library
Element guarantee to manage number in database without updating in-stockroom operation, the process constraints mistake and defect of data itself
According to accurate and availability.
Incremental update is provided, engineering updates and figure layer updates three kinds of renewal models, suitable for different usage scenarios, according to
The suitable mode of the case where incremental data selection is updated storage, while incremental update data are checked with trend of the times library data
Online editing can also be carried out for being unsatisfactory for the incremental data that storage requires later.
The incremental data extractability of any time range and spatial dimension is provided, for linking to other databases
It updates.
This method supports certain update fault-tolerant, can be updated to the update executed and cancel and update again.
Beneficial effects of the present invention: by using incremental update form, only to changed element carry out editor's production,
Quality examination and update storage greatly improve data maintenance efficiency, while realizing any time point based on element grade more new management
The extraction of data generates.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is Spatio-Temporal Data Model for Spatial explanatory diagram;
The flow chart that geographical vector data dynamic updates based on Fig. 2;
Fig. 3 is original vector schematic diagram data;
Fig. 4 is the schematic diagram of incremental update packet;
Fig. 5 is the schematic diagram of the inspection of incremental update data;
Fig. 6 a is the schematic diagram of the vector data before updating;
Fig. 6 b is the schematic diagram of updated vector data;
Fig. 6 c is the vector data contrast schematic diagram for updating front and back;
Fig. 7 is the timing information of element after updating.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
As illustrated in fig. 1 and 2, a kind of vector dynamic based on Spatio-Temporal Data Model for Spatial according to embodiments of the present invention updates
Method, comprising the following steps:
S1 analyzes initial data, creates Spatio-Temporal Data Model for Spatial and carries out background data storage;
S2 is updated editor to the data issued in library, by the label to more new state and renewal time, obtains increment more
New packet;
Incremental update data are committed to temporary library by S3, check incremental number by the element in matching temporary library and trend of the times library
According to the update for executing incremental data if inspection passes through is put in storage;
S4 extracts the incremental update data of specified time, spatial dimension according to the comparison browsing for updating front and back data, is used for other
The linkage of database updates.
Further, Spatio-Temporal Data Model for Spatial described in S1 includes trend of the times library, increment library and version repository, the trend of the times library storage
Newest data, the data of the delta inventory storage incremental update, the version repository store the version of a certain specific time node
Data.
Further, the data in the Spatio-Temporal Data Model for Spatial have unique identification FID, are carried out by the unique identification
Association between each library.
Further, S2 is specifically included: each data production unit relies on production software and multi-source Up-to-date state data, passes through packet
The production for including the data processing means progress vector data including data conversion, collection edit, fieldwork measurement updates, and produces software
The more new state of auto-id data and renewal time, all data editions are completed and pass through the production phase in editing process
After quality inspection, all changes information is exported and generates incremental update packet.
Further, the more new state includes increase, figure modification, attribute modification, the modification of figure category and deletes.
Further, S3 is specifically included:
The production of S31 data or data management service are updated after getting incremental data, and increment element is submitted to temporarily
Library,
S32 matches the increment element in temporary library with the element in trend of the times library by full library unique identification FID, and root
The inspection of incremental data is carried out according to matching result;
S33 checks that the increment element passed through can be then submitted in the trend of the times library and increment library of Spatio-Temporal Data Model for Spatial from temporary library, complete
At final update.
Further, the inspection of incremental data include increment component attributes and the inspection of renewal time, increment element whether
The inspection for being also present in the inspection in trend of the times library, whether more whether having conflict inside increment element on the inspection of new state and attribute
It looks into.
Further, S4 is specifically included: vector data is completed after updating, it is clear by the version to increment library delta data
It lookes at and is checked with element timing information, the extraction of specified time, incremental data in spatial dimension are carried out, for other databases
Linkage updates.
In order to facilitate understanding above-mentioned technical proposal of the invention, below by way of in specifically used mode to of the invention above-mentioned
Technical solution is described in detail.
When specifically used, a kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial according to the present invention,
As illustrated in fig. 1 and 2, the present invention through the following steps that realize:
1, initial data is analyzed, Spatio-Temporal Data Model for Spatial is created and carries out background data storage;
Spatio-Temporal Data Model for Spatial includes trend of the times library, increment library and version repository.The storage of trend of the times library is newest data, increment library forever
The data (increase, figure modification, attribute modification, figure belong to modification, delete) for storing incremental update, when version repository storage is a certain specific
The edition data of intermediate node.Before data update, the edition data of a background is centainly had, is based on already existing background
Data carry out incremental update.Next version is then that a upper version is relied on to obtain along with increment library data carry out increment operation
It arrives.Therefore data are entered into space-time model by entering library facility, during storage, if data itself are uniquely marked without full library
Know FID, system can automatically generate unique identification and be recorded in respective field, carry out between each library of space-time model by unique identification
Association.
2, it relies on data to produce software, editor is updated to the data issued in library, by more new state and update
The label of time obtains incremental update packet;
Each data production unit relies on production software and multi-source Up-to-date state data to pass through data conversion, collection edit, fieldwork measurement
And some other data processing means carries out the production update of vector data, produces software auto-id data in editing process
More new state and renewal time, data are updated to the operation of data by status indicator according to reality are as follows: increase, figure modification,
Attribute modification, figure belong to a kind of variable condition of certain of modification and deletion among these, and the element of deletion only does logic deletion, physically still
In the presence of only editor end is not shown.After the quality inspection for completing and passing through the production phase to all data editions, all changes are believed
Breath exports and generates incremental update packet.
3, incremental update data are committed to temporary library, and inspection then executes update storage after passing through;
Data production or data management service are updated after getting incremental data, and increment element is submitted to temporary library, and
It is matched with the element in trend of the times library by full library unique identification FID, and carries out the inspection of incremental data according to matching result,
Inspection, increment element including increment component attributes and renewal time whether be also present in trend of the times library, inside increment element whether
There is conflict etc. in more new state or attribute.Check that the increment element passed through can then be submitted to showing for Spatio-Temporal Data Model for Spatial from temporary library
In gesture library and increment library, final update is completed.
4, the incremental update data that specified time, spatial dimension are extracted according to the comparison browsing for updating front and back data, are used for
The linkage of other databases updates.
Vector data is completed after updating, version browsing can be carried out to the data for updating front and back and element timing information is looked into
It sees, by being checked to increment library delta data, carries out the extraction of specified time, incremental data in spatial dimension, be used for it
The linkage of his database updates.
By taking a certain region corresponds to vector data dynamic update as an example, attached drawing 3 is original vector data, detailed process are as follows:
1) initial data of attached drawing 3 is managed in a manner of space-time model, becomes background data;
2) the corresponding incremental update packet of attached drawing 4 is generated after production software upgrading editor to the data issued in library;
3) incremental update packet is submitted in temporary library and is checked, such as attached drawing 5;And the increment element that inspection result will be met
It is submitted to trend of the times library and increment library.
4) browsing is compared to data after update and element timing information is checked, such as attached drawing 6a-6c and attached drawing 7;
5) specified time, spatial dimension carry out the extraction of incremental update packet, and the linkage for other databases updates.
In conclusion by means of above-mentioned technical proposal of the invention, by using incremental update form, only to changing
Element carry out editor's production, quality examination and update storage, greatly improve data maintenance efficiency, while more based on element grade
The extraction of point data generates when new management realizes any.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial, which comprises the following steps:
S1 analyzes initial data, creates Spatio-Temporal Data Model for Spatial and carries out background data storage;
S2 is updated editor to the data issued in library, by the label to more new state and renewal time, obtains increment more
New packet;
Incremental update data are committed to temporary library by S3, check incremental number by the element in matching temporary library and trend of the times library
According to the update for executing incremental data if inspection passes through is put in storage.
2. the vector dynamic updating method according to claim 1 based on Spatio-Temporal Data Model for Spatial, which is characterized in that this method
Further comprise: S4 extracts the incremental update data of specified time, spatial dimension according to the comparison browsing for updating front and back data,
Linkage for other databases updates.
3. the vector dynamic updating method according to claim 2 based on Spatio-Temporal Data Model for Spatial, which is characterized in that S4 is specific
Include: to be completed after updating to vector data, is browsed by the version to increment library delta data and checked with element timing information, into
The extraction of incremental data in row specified time, spatial dimension, the linkage for other databases update.
4. the vector dynamic updating method according to claim 1 based on Spatio-Temporal Data Model for Spatial, which is characterized in that institute in S1
Stating Spatio-Temporal Data Model for Spatial includes trend of the times library, increment library and version repository, and the trend of the times library stores newest data, the delta inventory
The data of incremental update are stored up, the version repository stores the edition data of a certain specific time node.
5. the vector dynamic updating method according to claim 1 or 4 based on Spatio-Temporal Data Model for Spatial, which is characterized in that institute
The data in Spatio-Temporal Data Model for Spatial are stated with unique identification FID, the association between each library is carried out by the unique identification.
6. the vector dynamic updating method according to claim 1 based on Spatio-Temporal Data Model for Spatial, which is characterized in that S2 is specific
Include: that each data production unit relies on production software and multi-source Up-to-date state data, by include data conversion, it is collection edit, outer
Industry tune is painted on the production update that interior data processing means carry out vector data, and production software identifies number automatically in editing process
According to more new state and renewal time, after the quality inspection of production phase is completed and passed through to all data editions, all changes are believed
Breath exports and generates incremental update packet.
7. the vector dynamic updating method according to claim 6 based on Spatio-Temporal Data Model for Spatial, which is characterized in that it is described more
New state includes increase, figure modification, attribute modification, the modification of figure category and deletes.
8. the vector dynamic updating method according to claim 1 based on Spatio-Temporal Data Model for Spatial, which is characterized in that S3 is specific
Include:
The production of S31 data or data management service are updated after getting incremental data, and increment element is submitted to temporarily
Library,
S32 matches the increment element in temporary library with the element in trend of the times library by full library unique identification FID, and root
The inspection of incremental data is carried out according to matching result;
S33 checks that the increment element passed through can be then submitted in the trend of the times library and increment library of Spatio-Temporal Data Model for Spatial from temporary library, complete
At final update.
9. the vector dynamic updating method based on Spatio-Temporal Data Model for Spatial according to claim 1 or 8, which is characterized in that increase
The inspection of amount data includes the inspection whether increment component attributes and the inspection of renewal time, increment element are also present in trend of the times library
It looks into, whether more whether have the inspection of conflict inside increment element on the inspection of new state and attribute.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810832873.7A CN109189999A (en) | 2018-07-26 | 2018-07-26 | A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810832873.7A CN109189999A (en) | 2018-07-26 | 2018-07-26 | A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109189999A true CN109189999A (en) | 2019-01-11 |
Family
ID=64937530
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810832873.7A Pending CN109189999A (en) | 2018-07-26 | 2018-07-26 | A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109189999A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110032613A (en) * | 2019-04-16 | 2019-07-19 | 重庆市地理信息中心 | A kind of space-time data integrated management method based on chain type storage |
CN110866024A (en) * | 2019-11-06 | 2020-03-06 | 山东省国土测绘院 | Vector database increment updating method and system |
CN113282584A (en) * | 2021-05-28 | 2021-08-20 | 福州大学 | Method and system for searching space-time cube data of earth observation image |
CN113486034A (en) * | 2021-07-05 | 2021-10-08 | 重庆比特数图科技有限公司 | Historical version backtracking method for vector map layer and pattern spot |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101645078A (en) * | 2009-09-11 | 2010-02-10 | 中南大学 | System and method for integration of change information collection and spatiotemporal data update] |
CN103425751A (en) * | 2013-07-24 | 2013-12-04 | 浙江大学 | Linkage increment updating method of vector space data based on dependency |
CN105677889A (en) * | 2016-01-30 | 2016-06-15 | 武汉大学 | Partial updating and reduction overall incremental updating method for spatial data |
-
2018
- 2018-07-26 CN CN201810832873.7A patent/CN109189999A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101645078A (en) * | 2009-09-11 | 2010-02-10 | 中南大学 | System and method for integration of change information collection and spatiotemporal data update] |
CN103425751A (en) * | 2013-07-24 | 2013-12-04 | 浙江大学 | Linkage increment updating method of vector space data based on dependency |
CN105677889A (en) * | 2016-01-30 | 2016-06-15 | 武汉大学 | Partial updating and reduction overall incremental updating method for spatial data |
Non-Patent Citations (8)
Title |
---|
付仲良等: "数字城市矢量地形图数据更新方法研究", 《地理空间信息》 * |
刘雅慧: "不动产统一登记数据同步更新方法研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
向红梅等: "基础地理空间数据库增量更新与动态管理方法", 《测绘科学》 * |
周炤等: "基于地形图分幅及要素分类代码的对象标识研究", 《测绘工程》 * |
张新长等: "一种自适应的矢量数据增量更新方法研究", 《测绘学报》 * |
袁越: "煤矿塌陷区耕地生产力损害组件式GIS可视化评价系统研究与实现", 《中国优秀硕士学位论文全文数据库 工程科技I辑》 * |
郑凤姣等: "基于维思时空地理信息处理平台的1:10000 地形图更新", 《地理空间信息》 * |
郑晓津: "基于增量信息与多版本的DLG 数据库管理技术研究", 《测绘与空间地理信息》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110032613A (en) * | 2019-04-16 | 2019-07-19 | 重庆市地理信息中心 | A kind of space-time data integrated management method based on chain type storage |
CN110032613B (en) * | 2019-04-16 | 2021-04-09 | 重庆市地理信息和遥感应用中心(重庆市测绘产品质量检验测试中心) | Spatio-temporal data integrated management method based on chained storage |
CN110866024A (en) * | 2019-11-06 | 2020-03-06 | 山东省国土测绘院 | Vector database increment updating method and system |
CN110866024B (en) * | 2019-11-06 | 2023-07-18 | 山东省国土测绘院 | Vector database increment updating method and system |
CN113282584A (en) * | 2021-05-28 | 2021-08-20 | 福州大学 | Method and system for searching space-time cube data of earth observation image |
CN113282584B (en) * | 2021-05-28 | 2022-05-03 | 福州大学 | Method and system for searching space-time cube data of earth observation image |
CN113486034A (en) * | 2021-07-05 | 2021-10-08 | 重庆比特数图科技有限公司 | Historical version backtracking method for vector map layer and pattern spot |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109189999A (en) | A kind of vector dynamic updating method based on Spatio-Temporal Data Model for Spatial | |
US11461294B2 (en) | System for importing data into a data repository | |
EP3513314B1 (en) | System for analysing data relationships to support query execution | |
US10558642B2 (en) | Mechanism for deprecating object oriented data | |
US20180095952A1 (en) | System for data management in a large scale data repository | |
US9015648B2 (en) | Roundtrip merge of BPEL processes and BPMN models | |
US8190648B1 (en) | Method and system for the storage and use of engineering modeling alternatives with unitized data | |
US20050015377A1 (en) | Method and system for metadata reconciliation in a data warehouse | |
CN102023983B (en) | Managing method of statistical space-time database | |
CN109977162A (en) | A kind of urban and rural planning data transfer device, system and computer readable storage medium | |
CN104205039A (en) | Interest-driven business intelligence systems and methods of data analysis using interest-driven data pipelines | |
CN108304550A (en) | A kind of more people interoperability dynamic updating method for geographical province-circumstance monitoring | |
CN107291471A (en) | A kind of Meta model framework system for supporting customizable data acquisition | |
CN104021210B (en) | Geographic data reading and writing method of MongoDB cluster of geographic data stored in GeoJSON-format semi-structured mode | |
CN104008209B (en) | Reading-writing method for MongoDB cluster geographic data stored with GeoJSON format structuring method | |
CN109857756A (en) | Generation method, device, equipment and the readable storage medium storing program for executing of Database Report | |
Nguyen et al. | A multi-perspective approach to interpreting spatio-semantic changes of large 3D city models in CityGML using a graph database | |
Isailović et al. | The future of BIM and bridge management systems | |
US7822587B1 (en) | Hybrid database architecture for both maintaining and relaxing type 2 data entity behavior | |
CN108875087A (en) | A method of description things space attribute is simultaneously searched based on the description | |
CN108763256A (en) | A kind of electric power GIS Temporal Model construction method based on Dike-pond modes | |
US11681523B1 (en) | Metadata model and use thereof for cloud native software systems | |
El Beggar et al. | Towards an MDA-oriented UML profiles for data warehouses design and development | |
Florez et al. | Modeling and Analyzing Imperfection in Enterprise Models. | |
Tayeb et al. | Automatic Simulation Data Update: A New Innovative Way to Expedite Historical Data Extension for Models |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190111 |
|
RJ01 | Rejection of invention patent application after publication |