CN106250389A - A kind of geographical spatial data method for edition management updated towards dynamic increment - Google Patents

A kind of geographical spatial data method for edition management updated towards dynamic increment Download PDF

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CN106250389A
CN106250389A CN201610554916.0A CN201610554916A CN106250389A CN 106250389 A CN106250389 A CN 106250389A CN 201610554916 A CN201610554916 A CN 201610554916A CN 106250389 A CN106250389 A CN 106250389A
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year
data
management
cycle
version
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安晓亚
王峰
刘平芝
金澄
徐道柱
焦洋洋
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Xi'an Institute Of Surveying & Mapping
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Xi'an Institute Of Surveying & Mapping
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases

Abstract

The present invention relates to spatial database, a kind of geographical spatial data method for edition management updated towards dynamic increment used in updating especially for geographical spatial data, can realize efficient storage and the management of multi-time Scales geographical spatial data during dynamic increment based on data base updates.Its technical scheme solved is: first incorporates version management mechanism and sets up multi-time Scales spatial database, data base updates two-stage version according to 5 year year update cycle interval and organizes, the incremental update packet with tense and version identifier is generated after being updated over initial data processing, complete incremental data by versions merging and clash handle to put in storage, more new data is updated the management of two-stage version in strict accordance with 5 year year update cycle interval, and overlaying state version index implements quick search retrieval on the basis of two-stage version index.The present invention can be effectively improved organization and administration level and the multiple timings Spatial data query recall precision of multi-time Scales geographical spatial data.

Description

A kind of geographical spatial data method for edition management updated towards dynamic increment
One, technical field
The present invention relates to geospatial database, particularly multiple dimensioned magnanimity geographical spatial data is implemented renewal process A kind of geographical spatial data method for edition management updated towards dynamic increment of middle use.
Two, background technology
Countries in the world mapping in recent years and geography information mechanism and relevant departments establish 1:100 ten thousand, 1:25 ten thousand, 1 successively: 50000 a large amount of Fundamental Geographic Information Databases such as grade and other spatial data achievements.Along with the fast-developing change of real world, these Outcome data all suffers from quickly updating and high-efficiency management problem.In early days geographical spatial data update main use update comprehensively, whole Version updates, regular update isotype, both can cause that data redundancy, update cycle length, efficiency is low, high in cost of production problem, also can lead Cause management cost to increase, safeguard and search efficiency decline.Dynamic increment based on data base updates and is shortening update cycle, raising Update the aspect such as efficiency, minimizing data redundancy and there is outstanding advantage, and realize the geographical sky that data base-oriented dynamic increment updates Between data efficient management method the most necessary.The most for solving present in existing multi-time Scales geographical spatial data more new management Temporal data stores redundancy, organizes the problem such as inadequate scientific and efficient, query scheduling inefficiency, and the present invention proposes a kind of face The geographical spatial data method for edition management updated to dynamic increment.
Three, summary of the invention
For above-mentioned situation, for overcoming prior art defect, the purpose of the present invention is just to provide a kind of towards dynamic increment The geographical space updated is according to method for edition management, it is achieved multi-time Scales geographical space in dynamic increment based on spatial database renewal Data update efficient storage and the management of achievement.
Its technical scheme solved is: is primarily based on version management mechanism and sets up multi-time Scales geospatial database, according to 5 Update cycle in year and year interval update two-stage version and organize, and renewal dynamic to initial data generates after processing There is tense, the delta package of release status mark, complete incremental data by versions merging and clash handle and wrap into storehouse, will be all Incremental data updates the management of two-stage version according to 5 year update cycle and year interval and safeguards, and at two-stage tense version rope On the basis of drawing, overlap-add operation state version index, space geometry index (such as quaternary tree) implement multi-time Scales spatial data quick search Retrieval.The present invention can be effectively improved the multi-time Scales geographical spatial data organization and administration level updated towards dynamic increment and inquiry inspection Rope efficiency.
Implementation step is as follows:
1, setting up multi-time Scales geospatial database based on version management mechanism, extended version mark and more new state belong to Property field, set up a series of multi-time Scales management metadata table;
2, integrate Fundamental Geographic Information Data warehouse-in, build the revised geospatial database of ground state;
3, start 5 circannian geographical spatial datas to update and management: using 5 years as a complete geographical spatial data Updating the management cycle, data mode is ground state correction data at the beginning of the within the cycle the 1st, from started in the 1st year to the 5th year knot Bundle, degree implements year incremental update management year by year, forms a full version Historic space data base, as next after end cycle The primary data that cycle updates;
4, the year interval dynamic increment more new management updated with under the management cycle is started 5 years: each within 5 annual periods Year is interval implements irregularly, real time implementation, mobilism incremental update, update and use client-server pattern to dispose, by version The modes such as this merging complete the submission of incremental update packet, all previous dynamic renewal incremental data are collected after terminating in each year Form year incremental data bag to proceed to next year;
5, implement based on 5 annual periods-year interval index and overlap-add operation state version indexes, space geometry index is constituted The multi-time Scales spatial data quick search retrieval of mixing temporal index.
Compared to existing technology, there is advantages that
1, incremental update process is on the one hand from the complete data packet that geospatial database detection is to be updated, on the other hand carries Handing over the incremental update packet that renewal generates after processing, data scale that is handled and that submit to is little, operating efficiency is high, reduces number According to storehouse damaged risk, enhance Restoration Mechanism;
2, multi-time Scales data base is divided into trend of the times data base and some by ground state version and increment version two-stage version Historical data base, was a complete history data base, the enterprise schema of one complete delta package in every year by 5 years, to the trend of the times Data base and historical data base have carried out significantly reducing weight, and have greatly saved data space;
3, within 5 years, update management cycle formation and one complete history data base, every year constitute an annual incremental data bag, This partition mode constitutes two-stage index pattern 5 annual periods-year, and overlap-add operation state version index and existing space several What index constitutes mixing temporal index, improves spatiotemporal data warehouse recall precision, beneficially data quick obtaining and Duo Shi Sequence analysis is applied.
Four, accompanying drawing explanation
Fig. 1 is the inventive method design flow diagram.
Fig. 2 is 5 annual periods-year version management flow chart.
Tu3Shi multi-time Scales data base organization and query and search pattern.
Fig. 4 1:5 ten thousand Fundamental Geographic Information Data dynamic increment updates management process.
Five, detailed description of the invention
Below in conjunction with the accompanying drawing tool to a kind of spatial data method for edition management updated towards dynamic increment of the present invention Body embodiment elaborates.
Be given by Fig. 1, the present invention through the following steps that realize:
1, setting up the multi-time Scales spatial data library structure of fusion version management mechanism, extended version mark and more new state belong to Property field, set up a series of multi-time Scales management metadata table.
For spatial database extension design ground state version, old version and the two-level management pattern of year tense, by sky Spatial database is divided into trend of the times data base and the historical data base in 5 year cycle, sets up the space with version extension information Data structure so that it is become multi-time Scales edition data storehouse.Geographical entity factor data collection extends on the basis of original attribute item Spatial entities key element tense version identifier Datetimes (such as: 2005/10/12 12:32:21) and mode of operation version identifier Vers (such as: increase, delete, revise) attribute field, is used for the tense after recording key element editing and updating and state version information;Structure Build trend of the times database metadata table, historical data base metadata table, year incremental data bag metadata in temporal database The volume of data tables such as table, are respectively intended under the mark each 5 year update cycle of management trend of the times storehouse and the history library description letter formed Breath, identifies in 5 annual periods the interval geographical entity updated core elements change statistics implemented of each year in 5 year.
2, integrate Fundamental Geographic Information Data warehouse-in, build through the revised 1st edition spatial database of ground state;This step Relate to Data Format Transform, Fundamentals of Mathematics are unified, geographic element data version changes the links such as mark, quality examination substantially, are not The main contents of the present invention, are not described in detail.
3, start and update and management based on 5 circannian spatial datas
(1) within 5 years, being a cycle to implement the more new organization version management of higher leveled data.Update if starting for the 1st time 5 years Management cycle, from the 1st edition spatial data detection spatial database as the 1st year this cycle initial edition data, on this basis Implement 5 annual interval dynamic increment more new managements continuously;If start the follow-up 5 year version management cycle, from upper one 5 The complete history data base formed after completing annual period detects spatial database as beginning this week beginning edition data, comes into effect 5 year of this cycle each year interval in dynamic increment update;
(2) after each 5 years version management end cycles, by ground state data and final incremental update time in this cycle initially Packet is added the complete history data base forming this cycle, such as following formula;
G D B ( V i ) = G D B ( V i - 1 ) + Σ n = 1 5 Δ G D B ( y n )
Wherein, GDB (Vi) represent the complete trend of the times data base at the end of this cycle, ViRepresent this cycle data storehouse version mark Know, GDB (Vi-1) represent the complete history data base formed upper one 5 annual periods, ground state edition data when being also to start in this cycle Storehouse, Vi-1Represent upper one 5 circannian version identifiers;ΔGDB(yn) represent and accumulated in arbitrary year in 5 year of this cycle Dynamic increment update bag, ynRepresent this week in interim any one year;
(3), after upper 1 year update cycle terminated, the historical data base of formation automatically detects and updates required next 5 annual period Initial version data base, transplant and store to new cycle data storehouse, simultaneously the year interval state auto-switching that updates is to newly Cycle.
4, start 5 years and update dynamic increment more new management interval with the year under the management cycle
As shown in Figure 2, after starting 5 years renewal management cycle, from this year in cycle the 1st, implement year district successively Interior more new management.Year interval more new management belongs to the management of a kind of irregular Real-time and Dynamic incremental update, based on version Changing mechanism and towards the concurrent mechanism under many people multi-machine collaborative formula work pattern, in year, dynamic increment updates with management in data Storehouse service end and production update client deployment and launch.Every year, more new data only entered on the basis of previous year more new data packets Row increment stores, and does not occurs the spatial data updated not repeat storage.Specific practice is as follows:
(1) datamation to be updated that database service end identifies with release status from the detection of multi-time Scales spatial database Storehouse is issued to produce and updates end, and production renewal end completes the multi-source renewal renewal such as data fusion, human-edited's process and processes, and generates With time and the incremental update packet of renewal mode of operation labelling;
(2) incremental update packet is committed to database service end, by versions merging and version conflict, by incremental update Data import under year increment edition data storehouse, complete the check-in of incremental update packet;
(3), after terminating the current year, complete in year is the most irregularly dynamically updated to fruit accumulative formation increment in the current year More new data packets, proceeds to next year update automatically.
Δ G D B ( y i ) = Δ G D B ( y i - 1 ) + Σ j = 1 n ΔGDB v j
Wherein, yiRepresent the current year, Δ GDB (yi) represent the incremental update bag obtained at the end of the current year;yi-1In representative One year, Δ GDB (yi-1) represent the incremental update bag that previous year completes, also it is at the beginning of the current year, to start initial number when updating According to bag;ΔGDBvjRepresent any one step completed dynamic increment renewal in the current year to wrap, j=1,2 ..., n, n refer to that the current year is altogether The number of times updated.
5, implement based on 5 annual periods-year interval index and overlap-add operation state version indexes, space geometry index is constituted The multi-time Scales spatial data quick search retrieval of mixing temporal index
As shown in Figure 3, multi-time Scales spatial database is made up of a up-to-date trend of the times storehouse and some history libraries.The up-to-date trend of the times Storehouse refers to that current year is in full version data base affiliated in up-to-date 5 year update the management cycle, is managed in data base Spatial data had both included current latest edition, also included the historical data being updated in the current year or even history year.
Historical data base refers to the holonmic space data base corresponding to each 5 annual periods before the most up-to-date 5 annual periods, Original ground state version space data when starting for baseline at the beginning of both having included this cycle the 1st in each history library, also include through The multiple old version spatial datas accumulated after all previous renewal, both data constitute this cycle history stage corresponding complete Spatial database.
Multi-time Scales data base based on 5 annual periods-year interval management pattern of organization has outstanding space querying retrieval Efficiency, will constitute mixing based on 5 annual periods-year interval index, mode of operation version index superposition geometric space index Temporal index, implements the retrieval of multi-time Scales data query.Such as when inquiring about up-to-date spatial data, only need to be by space geometry index essence The spatial entities key element that really in screening trend of the times storehouse, version is up-to-date;During the historical data that inquiry is cut into slices sometime, first base In history library belonging to the 1st grade of 5 index judgement annual period, secondly based on the 2nd grade of annual index location to affiliated annual data bag also And location is to edition data corresponding to this isochronous surface, overlay space geometry index is quickly searched and is met this time on this basis The Space Elements data required.
Embodiment
To update and as a example by version management towards 1:5 ten thousand Fundamental Geographic Information System dynamic increment, as shown in Figure 4, data pipe Reason unit, according to the renewal task scope of each production unit, detects geography information number to be updated from multi-time Scales spatial database According to, it is distributed to the geographic information data word bank of each production unit;Each data production unit produces based on geography information and updates software The production of geographic information data is carried out more by means such as data conversion, collection edit and integrated treatments with multi-source Up-to-date state data Newly, demarcate tense and state change information, as increased newly, revise and the change information such as deletion, form incremental data bag;Data produce Incremental data bag is committed to data management unit by unit, data management unit according to key element entity identification determine more new data with The relation being updated between data, carries out versions merging, version conflict solution etc. and completes the check-in of incremental data bag.

Claims (4)

1. one kind towards dynamic increment update geographical spatial data method for edition management, it is characterised in that the method include with Lower step:
(1) multi-time Scales geospatial database structure based on version management mechanism is set up, extended version mark and more new state Attribute field, sets up a series of multi-time Scales management metadata table;
(2) integrate Fundamental Geographic Information Data and put in storage, building the revised spatial database of ground state;
(3) start 5 circannian geographical spatial datas to update and management: using 5 years as a complete geographical spatial data more In the new management cycle, data mode is ground state correction data at the beginning of the within the cycle the 1st, starts to terminating in the 5th year from the 1st year, Degree implements year incremental update management year by year, forms a full version Historic space data base, as next week after end cycle The primary data that phase updates;
(4) start 5 years and update dynamic increment more new management interval with the year under the management cycle: each year within 5 annual periods Degree interval is implemented irregularly, real time implementation, mobilism incremental update, update and use client-server pattern to dispose, pass through version The modes such as merging complete the submission of incremental update packet, after terminating in each year, all previous dynamic renewal incremental data are collected shape Year incremental data bag is become to proceed to next year;
(5) implement to index structure based on interval temporal index 5 annual periods-year overlap-add operation state version index, space geometry Become the multi-time Scales spatial data quick search retrieval of mixing temporal index.
A kind of spatial data method for edition management updated towards dynamic increment the most according to claim 1, described 5 years The geographical spatial data in cycle updates and management, it is characterised in that:
(1) within 5 years, to be a cycle to implement the more new organization version management of higher leveled data, if the 1st time starts 5 years more new managements Cycle, from the 1st edition spatial data detection spatial database as the 1st year this cycle initial edition data, the most continuously Implement 5 annual interval dynamic increment more new managements;If start the follow-up 5 year version management cycle, from upper 5 years week Phase complete after the complete history data base that formed detect spatial database as beginning this week beginning edition data, come into effect this week 5 year of phase each year interval in dynamic increment update;
(2) after each 5 years version management end cycles, by ground state data and final incremental update data time in this cycle initially Bag is added the complete history data base forming this cycle, such as following formula;
G D B ( V i ) = G D B ( V i - 1 ) + Σ n = 1 5 Δ G D B ( y n )
Wherein, GDB (Vi) represent the complete trend of the times data base at the end of this cycle, ViRepresent this cycle data storehouse version identifier, GDB(Vi-1) represent upper 1 annual periods formation complete history data base, ground state edition data storehouse when being also to start in this cycle, Vi-1Represent upper one 5 circannian version identifiers;ΔGDB(yn) represent accumulated in arbitrary year in 5 year of this cycle dynamic State incremental update bag, ynRepresent this week in interim any one year;
(3), after upper 1 year update cycle terminated, the historical data base of formation detects at the beginning of needed for updating next 5 annual period automatically Beginning edition data storehouse, transplants and stores to new cycle data storehouse, and the year interval state auto-switching that updates is to the new cycle simultaneously.
A kind of spatial data method for edition management updated towards dynamic increment the most according to claim 1, described 5 years Update dynamic increment more new management interval with the year under the management cycle, it is characterised in that:
After starting 5 years renewal management cycle, from this year in cycle the 1st, implement the more new management in year interval successively; Year interval more new management belongs to the management of a kind of irregular Real-time and Dynamic incremental update, based on versioning mechanisms with towards many people Concurrent mechanism under multi-machine collaborative formula work pattern, in year, dynamic increment updates and at database service end and produces more with management New client deployment launches;Every year, more new data was only to carrying out increment storage on the basis of previous year more new data packets, did not sent out The raw spatial data updated does not repeats storage, and specific practice is as follows:
(1) database service end is from the datamation storehouse to be updated that the detection of multi-time Scales spatial database identifies with release status Send to produce update end, produce update end complete multi-source update the renewal such as data fusion, human-edited's process process, generate with Time and the incremental update packet of renewal mode of operation labelling;
(2) incremental update packet is committed to database service end, by versions merging and version conflict, by incremental update data Import under year increment edition data storehouse, complete the check-in of incremental update packet;
(3), after terminating the current year, complete in year is the most irregularly dynamically updated to fruit accumulative formation incremental update in the current year Packet, proceeds to next year update, such as following formula automatically:
Δ G D B ( y i ) = Δ G D B ( y i - 1 ) + Σ j = 1 n ΔGDB v j
Wherein, yiRepresent the current year, Δ GDB (yi) represent the incremental update bag obtained at the end of the current year;yi-1Represent 1 year Degree, Δ GDB (yi-1) represent the incremental update bag that previous year completes, also it is at the beginning of the current year, to start initial data packets when updating; ΔGDBvjRepresent any one step completed dynamic increment renewal in the current year to wrap, j=1,2 ..., n, n refer to what the current year updated altogether Number of times.
A kind of spatial data method for edition management updated towards dynamic increment the most according to claim 3, its feature exists In, described based on interval temporal index 5 annual periods-year, mode of operation version index overlay space geometry index, constitute The multi-time Scales spatial data quick search retrieval of mixing temporal index, refers to the quick search to multi-time Scales spatial data, first To be residing 5 annual periods that the 1st grade of index positions to history library or trend of the times storehouse, it is that the 2nd grade of index location is to year with place year Incremental data bag, completes a coarse sizing then in conjunction with updating mode of operation version, and last overlay space geometry index algorithm is complete Become Accuracy Space inquiry.
CN201610554916.0A 2016-07-15 2016-07-15 A kind of geographical spatial data method for edition management updated towards dynamic increment Pending CN106250389A (en)

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WO2019161679A1 (en) * 2018-02-26 2019-08-29 众安信息技术服务有限公司 Data processing method and device for use in online analytical processing
CN108628958A (en) * 2018-04-13 2018-10-09 云南电网有限责任公司信息中心 A kind of power grid GIS date storage method based on tense
CN108647268A (en) * 2018-04-28 2018-10-12 国网湖南省电力有限公司 Increment updating method for distribution network planning data integration
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CN108629053A (en) * 2018-05-30 2018-10-09 中链科技有限公司 A kind of data-updating method, apparatus and system
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CN109885579B (en) * 2019-01-11 2023-06-06 南京航空航天大学 Hierarchical counting-based Datalog parallel increment maintaining method
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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
CN114153931A (en) * 2021-12-08 2022-03-08 上海歆广数据科技有限公司 Electronic map version management system and method in grid data system
CN114153931B (en) * 2021-12-08 2024-02-23 上海歆广数据科技有限公司 Electronic map version management system and method in grid data system
CN115098616A (en) * 2022-07-25 2022-09-23 北京国科恒通科技股份有限公司 Multi-temporal spatial data storage and query methods, devices and storage medium
CN115098616B (en) * 2022-07-25 2022-12-02 北京国科恒通科技股份有限公司 Multi-temporal spatial data storage and query methods, devices and storage medium

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