CN106610957A - Multi-source data integration method based on geographic information - Google Patents

Multi-source data integration method based on geographic information Download PDF

Info

Publication number
CN106610957A
CN106610957A CN201510681947.8A CN201510681947A CN106610957A CN 106610957 A CN106610957 A CN 106610957A CN 201510681947 A CN201510681947 A CN 201510681947A CN 106610957 A CN106610957 A CN 106610957A
Authority
CN
China
Prior art keywords
data
carried out
map
plot
processed
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
Application number
CN201510681947.8A
Other languages
Chinese (zh)
Inventor
王力
杨文博
马翱慧
占倩倩
毛继国
王贺朋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Interstellar Space (tianjin) Technology Development Co Ltd
Original Assignee
Interstellar Space (tianjin) Technology Development Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Interstellar Space (tianjin) Technology Development Co Ltd filed Critical Interstellar Space (tianjin) Technology Development Co Ltd
Priority to CN201510681947.8A priority Critical patent/CN106610957A/en
Publication of CN106610957A publication Critical patent/CN106610957A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06F16/25Integrating or interfacing systems involving database management systems
    • 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 invention discloses a multi-source data integration method based on geographic information, and belongs to the geographic information technology. The method is characterized in comprising the following steps of: 1) analysis design: investigating and surveying required data, and generating a data analysis report; 2) data arrangement processing: carrying out integration processing on the data subjected to the analysis design; 3) data storage: carrying out classification integration storage on an achievement obtained after data processing, and forming a kernel database; and 4) map service configuration: carrying out symbol rendering on spatial data, publishing the spatial data to a corresponding map server, and carrying out the integrative display of system configuration and service in an appointed system. The method has the advantages that multi-source data, including the spatial data, business data, attribute data, workflow data, element data and the like, can be effectively fused, and data processing and application methods can be effectively combined and applied.

Description

A kind of multi-source data unity method based on geography information
Technical field
The present invention relates to technical field of geographic information, specifically one kind is by the multi-source informations such as spatial data, business datum, attribute data, Work stream data, important document data are effectively merged, data processing and methods for using them is effectively combined and is applied, and reaches and multi-source data can be applied after data processing, analysis, positioning a kind of multi-source data unity method based on geography information transmitted with the intelligent information represented in one.
Background technology
There are the two kinds of understandings of narrow sense and broad sense smart city.Sense stricto smart city is referred to based on Internet of Things, by Thingsization, interconnected, intelligent mode, allow each function running coordinated with each other in city, so that wisdom technology height is integrated, the high-end development of wisdom industry, the efficient convenience-for-people urban development new model as principal character of intelligence s ervice, its essence is more thorough perception, more extensive connection, more collection neutralization more has the calculating of depth, is urban tissue implantation wisdom gene.Sensu lato smart city is referred to " development is more scientific; management is more efficient; society is more harmonious; life is finer " as target, by from top to bottom, based on organized information system based on WebGIS, more there is a kind of brand-new urban morphology of more perfect perception, cognition, study, growth, innovation, decision-making, ability of regulation and control and consciousness of behavior in whole city.
According to authoritative Chinese wisdom engineering research is compared at present to the description of " smart city " concept can be:" smart city is that the whole world is developed around urban-rural integration at present, urban sustainable developmentization develops, people's livelihood core demand these development factors, advanced information technology is carried out into effective integration with advanced Urban Management service theory, by the geography to city, resource, environment, it is economical, the systems such as society carry out digital networked management, to urban infrastructure, basic environment, the multi-party bit digitizing of productive life related industry and facility, informationalized real-time processing and application, there is provided more succinct with operation for Urban Governance, efficiently, flexible decision support and action tool, there is provided more convenient for city public administration and service, efficiently, flexible innovation operation and service mode ".
And smart city people's livelihood angle consideration both from weigh people to the impression of its own existence and state of development and experience in terms of corresponding social security, consumption and house, people's livelihood service, social security, health care and health, education and culture, employment and income etc.;The management view consideration of the smart city of the aspect such as reasonable utilization again from land resources, the layout of urban construction, the overall management of the urban area, management of public safety, traffic management, emergency command management, energy-saving and emission-reduction management, infrastructure management, social management, community management, business economic transition and service;Social responsibility angle in terms of maintenance that will also be from proof civilization, propagation city image is improved and to rights and interests responsibility etc. considers.
And realize the structure that it is critical only that digital city of smart city.Digital city is the developing direction of urban informationization, and carries out rationalizing management with using the important symbol for being then urban planning and Level of Urban Modernization by the data of diversification, has become the capital construction content and development trend of digital city.In the data resource for setting based on two dimension, three-dimensional map, add attribute data, business datum and the periphery related data of correlation on this basis, the management of the integrated information such as planning, project examination, population Spatio-temporal modeling is being realized, achievement is widely used in government department, designing unit and undertaking of construction.
The method for managing resource of traditional geography information multi-source data and existing some geographic information management systems are present respectively to varying degrees to the reallocation of land, land investigation, soil batch, supply, mend look into the grasp of each link information not in time, it is comprehensive, in area, resource resources be cannot find out.Data do not carry out systematization arrangement, and data update delayed, and query statistic workload is big and efficiency is low, lacks quantitative positioning analysises to each link Land Information, and technological means fall behind relatively, tackles the problem of the aspects such as important emergency quick-reaction capability deficiency.
At present, also do not have a kind of technical scheme can effectively by by spatial data, business datum, attribute data, Work stream data, the multi-source datas such as important document data are effectively merged, data processing and methods for using them is effectively combined and is applied, reaching can be by data processing, analysis, multi-source data is applied into the transmission with the intelligent information represented in one after positioning, it is achieved thereby that by business datum and two, 3 D graphic data is effectively merged, realize that the data message of the three-dimensional of various dimensions is presented, and by data message with word, the form of figure and form forms analysis report, aid decision person carries out the decision-making of proposal.Not only the various information in the plot for being divided is represented in the form of picture and text combination, and the related business datum in the plot is represented, the reasonability of territory planning and the requirement analysis report of the property planned as a whole are realized, further aid in related policymaker effectively analysis reference frame to be provided for territory item goal programming.By the standardized administration of information-based means, place mat is carried out for information service system construction, lifted in capital construction of persistently promoting IT application and ensure service ability, place mat is carried out to push forward informatization comprehensively and providing the real-time of platform and information resources, integrity.Change the life of people, promote the development of commercial production, urban construction and national defense industry, reach real electronic information and mutually merge with geographical information technology, so as to realize the popularization of smart city concept with application.
The content of the invention
The drawbacks of in order to overcome prior art, realize the popularization and application of intelligent urban applications field concept, can effectively by by spatial data, business datum, attribute data, Work stream data, the multi-source informations such as important document data are effectively merged, data processing and methods for using them is effectively combined and is applied, reaching can be by data processing, analysis, multi-source data is applied into the transmission with the intelligent information represented in one after positioning, it is achieved thereby that by business datum and two, 3 D graphic data is effectively merged, realize that the data message of the three-dimensional of various dimensions is presented, and by data message with word, the form of figure and form forms analysis report, aid decision person carries out the decision-making of proposal.Not only the various information in the plot for being divided is represented in the form of picture and text combination, and the related business information in the plot is carried out into business in processing module represent, the reasonability of territory planning and the requirement analysis report of the property planned as a whole are realized, further aid in related policymaker effectively analysis reference frame to be provided for territory item goal programming.By the standardized administration of information-based means, place mat is carried out for information service system construction, lifted in capital construction of persistently promoting IT application and ensure service ability, place mat is carried out to push forward informatization comprehensively and providing the real-time of platform and information resources, integrity.Change the life of people, promote the development of commercial production, urban construction and national defense industry, reach real electronic information and mutually merge with geographical information technology, so as to realize the popularization of smart city concept with application.
A kind of multi-source data unity method based on geography information, wherein, the method comprises the steps:
One, analysis design:Required data are investigated, data analysis report is generated, to needing data to be processed to carry out basic engineering on the basis of demand data report, the technical need of Data Integration processing is proposed, the analysis design of data is completed;
Two, data compilation processing:Data after analysis design are carried out into integration process;
Three, data loading:Achievement after data mart modeling is carried out into classification and integrates warehouse-in, form core database, core database includes spatial database and Non-spatial Data storehouse, wherein Non-spatial Data library structure data and unstructured data storehouse;
Four, Map Services configuration:Spatial data is carried out symbol number to render and be published on corresponding map server, the integrative display of system configuration and service is carried out in appointing system.
A kind of multi-source data unity method based on geography information, wherein, the step 2, data compilation are processed as:Data after analysis design are carried out into integration process, and business datum, plot data and important document data are carried out into data fusion, data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message.
A kind of multi-source data unity method based on geography information, wherein, described the method also includes five, positioning service;Wherein described positioning service:Plot data after fusion, business datum, important document data are synchronized, overlay analysis, and according to keyword retrieval, be indexed, position.
A kind of multi-source data unity method based on geography information, wherein, what step one analysis was designed concretely comprises the following steps:
1.1, data investigation:The data of demand are investigated, multi-class initial data is formed;
1.2, data combing:Combing is carried out to initial data, and the demand data for data center management being generated with application service is reported;
1.3, basic engineering:The technical scheme that design data is integrated, forms data center's data compilation and process technology demand, completes the analysis design of data.
A kind of multi-source data unity method based on geography information, wherein, what the step 2 data compilation was processed concretely comprises the following steps:
2.1, form conversion:The data of the consolidation form initial data of different-format being converted into needed for system, and the data after consolidation form are carried out into quality examination, error message to be pointed out, the data to not meeting prescription are processed;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, and the data of unified standard is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.3, Coordinate Conversion:Map datum being carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, and quality examination being carried out by the map datum under unified coordinate system is formed, error message is pointed out, the data to not meeting prescription are processed;
2.4, uniform data organizational form:Classification homologue mode different data are carried out into the unitized process of organizational form, form the generic data of Method of Data Organization identical, and generic data are carried out into quality examination, and error message to be pointed out, the data to not meeting prescription are processed;
2.5, data item is supplemented:Attribute information in data base is carried out perfect, attribute classification is enriched, data after organization of unity mode are detected, the incomplete data item of each data is carried out perfect, satisfactory data are formed, and satisfactory data are carried out into quality examination, the data for not meeting prescription are processed, error message is pointed out, the data to not meeting prescription are processed;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to the data after data compilation processing, and enter column catalogue arrangement to outcome data, it is that data loading is ready, and the data for needing warehouse-in is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed.
A kind of multi-source data unity method based on geography information, wherein, what the step 2 data compilation was processed concretely comprises the following steps:Data compilation is processed as:Business datum, plot data and important document data are carried out into data fusion, the data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message;
2.1, form conversion:The data of the consolidation form initial data of different-format being converted into needed for system, and the data after consolidation form are carried out into quality examination, error message to be pointed out, the data to not meeting prescription are processed;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, and the data of unified standard is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.3, Coordinate Conversion:Map datum being carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, and quality examination being carried out by the map datum under unified coordinate system is formed, error message is pointed out, the data to not meeting prescription are processed;
2.4, uniform data organizational form:Classification homologue mode different data are carried out into the unitized process of organizational form, form the generic data of Method of Data Organization identical, and generic data are carried out into quality examination, and error message to be pointed out, the data to not meeting prescription are processed;
2.5, data item is supplemented:Attribute information in data base is carried out perfect, attribute classification is enriched, data after organization of unity mode are detected, the incomplete data item of each data is carried out perfect, satisfactory data are formed, and satisfactory data are carried out into quality examination, the data for not meeting prescription are processed, error message is pointed out, the data to not meeting prescription are processed;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to the data after data compilation processing, and enter column catalogue arrangement to outcome data, it is that data loading is ready, and the data for needing warehouse-in is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.7, data fusion:Business datum and plot data are matched with data by plot label, the data fusion of service attribute data and plot figure layer is formed;Business datum and important document data are carried out into Data Matching by process code and data, the data fusion of service attribute data and important document data is formed;Will number of packages evidence and plot data Data Matching is carried out by plot label and business label, form the data fusion of important document data and plot figure layer;Business datum, important document data and plot data are matched with business datum by plot label, process code, the data fusion of service attribute data, important document data and plot figure layer is formed;
2.8, data analysiss:Data after fusion are carried out into the overlay analysis of figure layer, judges whether the land used data after overlay analysis meet planning demand, result judgement is carried out according to different planning demands, and various judged results are formed into corresponding analysis report;Wherein analysis report in the form of text, diagrammatic form shown.
A kind of multi-source data unity method based on geography information, wherein, step 3 data loading is concretely comprised the following steps:
3.1, the structure of data base is designed:Structure design is carried out for business datum, the logical relation of each data is designed, different types of data storage relation is designed, taxonomic organization's spatial storage methods form is carried out for spatial data to be classified, business datum is merged by business demand with spatial data, data base's design is formed;
3.2, data load warehouse-in:The data put in order are designed according to database structure, respectively business datum and spatial data is loaded into library storage according to the type of data;
3.3, database link:The data base for creating is registered, there is provided access the link of data base for data, services;
3.4, Services Integration:According to different data types, link and the interface for accessing data base is created according to the business demand in system and business characteristic, and is used to system after Services Integration is issued.Inquiry, statistics, analysis, management service are carried out integrated;
3.5, data base's quality inspection:Raw data to having been built up completing carries out quality testing, business datum is detected and spatial data is detected, data form, georeferencing in its spatial data, topological relation, database structure are detected, generates quality of data report.Data form in business datum, data category, workflow, database structure are detected;
3.6, create index:Index is created for the business datum table in data base, it is ensured that the uniqueness of data, improve the efficiency of data retrieval, it is ensured that the integrity of data;
3.7, create data dictionary:Data item, data structure, data flow, data storage, mathematical logic and external entity to tables of data is defined and describes, and completes the establishment of data dictionary.
A kind of multi-source data unity method based on geography information, wherein, what step 4 Map Services were configured concretely comprises the following steps:
4.1, make symbolic library:Corresponding map symbol is designed according to business characteristic and data type, and the map symbol for designing is carried out into taxonomic revision, standardization forms the map symbols bank of unified management;
4.2, data coding:The map symbols bank that support is made, carries out symbolization to spatial data and renders, save as unified map file;
4.3, Map Services are issued and configuration:The map document made is issued into the Map Services for being available for system to access, Map Services is classified according to type of service, is configured in corresponding system.
A kind of multi-source data unity method based on geography information, wherein, step 5 positioning service is concretely comprised the following steps:
5.1, data syn-chronization:Plot data are obtained from map, business datum is corresponded in the field of plot according to business demand, the associated traffic data in the plot is inquired about in realization on map, and keyword retrieval is carried out according to the actual requirements, positioning of the plot in figure layer is realized, and shows the corresponding business datum in the plot, important document data;
5.2, the overlay analysis of geographic information data:Plot data after upload are automatically analyzed, the present situation for being covered of the plot data, planning is analyzed, whether is accounted for pressure basic farmland information, calculated the accounting and concrete area of each ground class of covered present situation planning, and form present situation planning chart.
A kind of multi-source data unity method based on geography information, wherein:The multi-source data unity method based on geography information is can be applicable on Mobile exhibiting platform.
A kind of multi-source data unity method based on geography information, wherein:The multi-source data unity method based on geography information is can be applicable on fixed display platform.
A kind of multi-source data unity method based on geography information, wherein:The data are:Spatial data, business datum, attribute data, Work stream data, important document data.
A kind of multi-source data unity method based on geography information, wherein:The spatial data is related to ground region, subterranean zone, public territory, commerce area, data processing, fusion is carried out in the region in enterprises and institutions, synergetic office work, positioning, is applied in presentation.
A kind of multi-source data unity method based on geography information, wherein:Described its business datum feature is classified by operation function, category of employment, region characteristic feature.
As can be seen here:
Method in the embodiment of the present invention can effectively by by spatial data, business datum, attribute data, Work stream data, the multi-source informations such as important document data are effectively merged, data processing and methods for using them is effectively combined and is applied, reaching can be by data processing, analysis, multi-source data is applied into the transmission with the intelligent information represented in one after positioning, it is achieved thereby that by business datum and two, 3 D graphic data is effectively merged, realize that the data message of the three-dimensional of various dimensions is presented, and by data message with word, the form of figure and form forms analysis report, aid decision person carries out the decision-making of proposal.Not only the various information in the plot for being divided is represented in the form of picture and text combination, and the related business information in the plot is carried out into business in processing module represent, the reasonability of territory planning and the requirement analysis report of the property planned as a whole are realized, further aid in related policymaker effectively analysis reference frame to be provided for territory item goal programming.By the standardized administration of information-based means, place mat is carried out for information service system construction, lifted in capital construction of persistently promoting IT application and ensure service ability, place mat is carried out to push forward informatization comprehensively and providing the real-time of platform and information resources, integrity.Change the life of people, promote the development of commercial production, urban construction and national defense industry, reach real electronic information and mutually merge with geographical information technology, so as to realize the popularization of smart city concept with application.
Description of the drawings
Fig. 1 be embodiments of the invention 1 in provide the multi-source data unity method based on geography information schematic flow sheet performance one of;
Fig. 2 be embodiments of the invention 2 in provide the multi-source data unity method based on geography information schematic flow sheet performance one of;
Fig. 3 is the schematic flow sheet of analysis design procedure in the embodiment of the present invention;
Fig. 4 is one of schematic flow sheet performance of data compilation procedure of processing in the embodiment of the present invention;
Fig. 5 is one of schematic flow sheet performance of data compilation procedure of processing in the embodiment of the present invention;
Fig. 6 is the schematic flow sheet of data loading step in the embodiment of the present invention;
Fig. 7 is the schematic flow sheet of Map Services configuration step in the embodiment of the present invention;
Fig. 8 is the schematic flow sheet of positioning service step in the embodiment of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, the present invention is described below in conjunction with accompanying drawing and specific embodiment in detail, the illustrative examples of the here present invention and illustrate for explaining the present invention but not as a limitation of the invention.
Embodiment 1:
The schematic flow sheet of the multi-source data unity method based on geography information that Fig. 1 is provided for the present embodiment, as shown in figure 1, a kind of multi-source data unity method based on geography information, the method comprises the steps:
One, analysis design:Required data are investigated, data analysis report is generated, to needing data to be processed to carry out basic engineering on the basis of demand data report, the technical need of Data Integration processing is proposed, the analysis design of data is completed;
Two, data compilation processing:Data after analysis design are carried out into integration process, and business datum, plot data and important document data are carried out into data fusion, data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message;
Three, data loading:Achievement after data mart modeling is carried out into classification and integrates warehouse-in, form core database, core database includes spatial database and Non-spatial Data storehouse, wherein Non-spatial Data library structure data and unstructured data storehouse;
Four, Map Services configuration:Spatial data is carried out symbol number to render and be published on corresponding map server, the integrative display of system configuration and service is carried out in appointing system;
Five, positioning service:Plot data after fusion, business datum, important document data are synchronized, overlay analysis, and according to keyword retrieval, be indexed, position.
A kind of multi-source data unity method based on geography information as shown in Figure 3, wherein the step one analyzes concretely comprising the following steps for design:
1.1, data investigation:The data of demand are investigated, multi-class initial data is formed;
1.2, data combing:Combing is carried out to initial data, and the demand data for data center management being generated with application service is reported;
1.3, basic engineering:The technical scheme that design data is integrated, forms data center's data compilation and process technology demand, completes the analysis design of data.
A kind of multi-source data unity method based on geography information as shown in Figure 5, what the step 2 data compilation was processed are concretely comprised the following steps:Data compilation is processed as:Business datum, plot data and important document data are carried out into data fusion, the data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message;
2.1, form conversion:The data of the consolidation form initial data of different-format being converted into needed for system, and the data after consolidation form are carried out into quality examination, error message to be pointed out, the data to not meeting prescription are processed;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, and the data of unified standard is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.3, Coordinate Conversion:Map datum being carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, and quality examination being carried out by the map datum under unified coordinate system is formed, error message is pointed out, the data to not meeting prescription are processed;
2.4, uniform data organizational form:Classification homologue mode different data are carried out into the unitized process of organizational form, form the generic data of Method of Data Organization identical, and generic data are carried out into quality examination, and error message to be pointed out, the data to not meeting prescription are processed;
2.5, data item is supplemented:Attribute information in data base is carried out perfect, attribute classification is enriched, data after organization of unity mode are detected, the incomplete data item of each data is carried out perfect, satisfactory data are formed, and satisfactory data are carried out into quality examination, the data for not meeting prescription are processed, error message is pointed out, the data to not meeting prescription are processed;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to the data after data compilation processing, and enter column catalogue arrangement to outcome data, it is that data loading is ready, and the data for needing warehouse-in is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.7, data fusion:Business datum and plot data are matched with data by plot label, the data fusion of service attribute data and plot figure layer is formed;Business datum and important document data are carried out into Data Matching by process code and data, the data fusion of service attribute data and important document data is formed;Will number of packages evidence and plot data Data Matching is carried out by plot label and business label, form the data fusion of important document data and plot figure layer;Business datum, important document data and plot data are matched with business datum by plot label, process code, the data fusion of service attribute data, important document data and plot figure layer is formed;
2.8, data analysiss:Data after fusion are carried out into the overlay analysis of figure layer, judges whether the land used data after overlay analysis meet planning demand, result judgement is carried out according to different planning demands, and various judged results are formed into corresponding analysis report;Wherein analysis report in the form of text, diagrammatic form shown.
A kind of as shown in Figure 6 multi-source data unity method based on geography information, step 3 data loading are concretely comprised the following steps:
3.1, the structure of data base is designed:Structure design is carried out for business datum, the logical relation of each data is designed, different types of data storage relation is designed, taxonomic organization's spatial storage methods form is carried out for spatial data to be classified, business datum is merged by business demand with spatial data, data base's design is formed;
3.2, data load warehouse-in:The data put in order are designed according to database structure, respectively business datum and spatial data is loaded into library storage according to the type of data;
3.3, database link:The data base for creating is registered, there is provided access the link of data base for data, services;
3.4, Services Integration:According to different data types, link and the interface for accessing data base is created according to the business demand in system and business characteristic, and is used to system after Services Integration is issued.Inquiry, statistics, analysis, management service are carried out integrated;
3.5, data base's quality inspection:Raw data to having been built up completing carries out quality testing, business datum is detected and spatial data is detected, data form, georeferencing in its spatial data, topological relation, database structure are detected, generates quality of data report.Data form in business datum, data category, workflow, database structure are detected;
3.6, create index:Index is created for the business datum table in data base, it is ensured that the uniqueness of data, improve the efficiency of data retrieval, it is ensured that the integrity of data;
3.7, create data dictionary:Data item, data structure, data flow, data storage, mathematical logic and external entity to tables of data is defined and describes, and completes the establishment of data dictionary.
A kind of multi-source data unity method based on geography information as shown in Figure 7, what step 4 Map Services were configured are concretely comprised the following steps:
4.1, make symbolic library:Corresponding map symbol is designed according to business characteristic and data type, and the map symbol for designing is carried out into taxonomic revision, standardization forms the map symbols bank of unified management;
4.2, data coding:The map symbols bank that support is made, carries out symbolization to spatial data and renders, save as unified map file;
4.3, Map Services are issued and configuration:The map document made is issued into the Map Services for being available for system to access, Map Services is classified according to type of service, is configured in corresponding system.
A kind of as shown in Figure 8 multi-source data unity method based on geography information, step 5 positioning service are concretely comprised the following steps:
5.1, data syn-chronization:Plot data are obtained from map, business datum is corresponded in the field of plot according to business demand, the associated traffic data in the plot is inquired about in realization on map, and keyword retrieval is carried out according to the actual requirements, positioning of the plot in figure layer is realized, and shows the corresponding business datum in the plot, important document data;
5.2, the overlay analysis of geographic information data:Plot data after upload are automatically analyzed, the present situation for being covered of the plot data, planning is analyzed, whether is accounted for pressure basic farmland information, calculated the accounting and concrete area of each ground class of covered present situation planning, and form present situation planning chart.
In specific embodiment:The multi-source data unity method based on geography information is can be applicable on Mobile exhibiting platform.
In specific embodiment:The multi-source data unity method based on geography information is can be applicable on fixed display platform.
In specific embodiment:The data are:Spatial data, business datum, attribute data, Work stream data, important document data.
In specific embodiment:The spatial data is related to ground region, subterranean zone, public territory, commerce area, data processing, fusion is carried out in the region in enterprises and institutions, synergetic office work, positioning, is applied in presentation.
In specific embodiment:Described its business datum feature is classified by operation function, category of employment, region characteristic feature.
Below with a specific embodiment illustrating:
Fig. 1 provides a kind of schematic flow sheet of the multi-source data unity method based on geography information, and a kind of multi-source data unity method based on geography information, the method comprise the steps:
One, analysis design:Demand data investigation is carried out, demand data analysis report is generated, to needing data to be processed to carry out taxonomic revision and technical Analysis on the basis of demand data report, the technical need of Data Integration processing is proposed, the analysis design of data is completed;By taking Land and resources datas analysis design as an example, the step is specifically described as:Requirement investigation and data combing analysis are carried out to land resources initial data, Land and resources datas are divided into into basic data, industry data and business datum three major types, wherein basic data includes remote sensing image data, basic geological study data and administrative division data, industry data includes land use data, land use planning data, and business datum examines data, land supply data, land registration data, law enforcement supervision data, land control data and cadastral survey manual data with being categorized as again.According to data criteria for classification, the specific data compilation process requirements of each class data are proposed for, the work of data analysis phase is completed.The idiographic flow of wherein step one is:
1.1, data investigation:Available data species, level to each department of land resources etc. are investigated, and form multi-class initial data inventory;
1.2, data combing:The data basic condition and final demand of all departments are found out, data management and application service statement of requirements is formed;
1.3, basic engineering:According to data cases and demand, design forming data compilation requires that with process technology the general technical that explicit data central database is built is required.The arrangement processing content of explicit data, method, flow process, step, technical requirements, quality inspection detailed rules and regulations etc., guide data arrange the development of processing, warehouse-in work etc..
Two, data compilation processing:Data after analysis design are carried out into integration process, and business datum, plot data and important document data are carried out into data fusion, data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message;By taking Land and resources datas analysis design as an example, the step is specifically described as:Uniform data format, is shp formatted datas by CAD data, account data, the unification of extended formatting data;The coordinate system of shp data, Raster Images data is unified;Middle field name, type to shp data, topology are checked automatically, and are standardized, it is ensured that the concordance of data;Data are carried out into the unitized process of organizational form according to Land and resources datas classification, the generic data of Method of Data Organization identical are formed;The attribute information of business datum carries out perfect, increases necessary shp fields and simultaneously enriches attribute information;Meta-data extraction and taxonomic revision are carried out to the data that arrangement is completed, and data source are provided for the data loading stage.The idiographic flow of wherein step 2 is:
2.1, form conversion:The initial data of different-format (.dwg/.shp/.xls etc.) is converted into into the consolidation form needed for system(.shp)Data;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, is specifically included: Form is arranged:By the electrical form data category collected carry out taxonomic revision,Data inputting:Papery data inputting,Data processing:By the grid data of DWG forms by unified requirement, the operations such as topological relation, fusion, merging, intersecting process, definition projection are carried out using GIS software, build grid pattern key element, and typing correlation attribute information;
2.3, Coordinate Conversion:Map datum is carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, such as data under former coordinate system the Xi'an1980 coordinate system data of standard requirement is converted to into reference to requiring according to uniform spaces;
2.4, uniform data organizational form:Classification homologue mode different data are carried out merger, storage, processed, the generic data of Method of Data Organization identical is formed, and generic data is carried out into quality examination;
2.5, data item is supplemented:Attribute information in all kinds of business datums is carried out perfect, its attribute classification is refined, and the binding character to attribute item, integrity are checked, improve data content;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to arranging the data after processing, and enters column catalogue arrangement to outcome data, be that data loading is ready;
2.7, data fusion:Territory service attribute data and the space diagram data after vector quantization are matched by ground block number, the data fusion of service attribute data and figure is formed;Business datum and important document data are carried out into Data Matching by process code and data, the data fusion of service attribute data and important document data is formed;Will number of packages evidence and graph data Data Matching is carried out by ground block number and business label, form the data fusion of important document data and plot figure layer, one-to-one mixing operation carried out to data content, classification by unique value mode, complete data fusion work;
2.8, data analysiss:Data after fusion are carried out into the overlay analysis of figure layer, judges whether the land used data after overlay analysis meet planning demand, result judgement is carried out according to different planning demands, and various judged results are formed into corresponding analysis report.
Three, data loading:Achievement after data mart modeling is carried out into classification and integrates warehouse-in, form core database, core database includes spatial database and Non-spatial Data storehouse, wherein Non-spatial Data library structure data and unstructured data storehouse;By taking Land and resources datas analysis design as an example, the step is specifically described as:Database structure design is carried out to land resource database and spatial data poke mode is designed, the data loading operation that respectively achievement arranged after processing is standardized, and index and data dictionary are set up to data, quality examination is carried out to the quality of data and data base after the completion of warehouse-in.Foundation is available for data base's connection that data, services are accessed, and carries out database access operation using the Land and resources datas service after integrated.
3.1, the structure of data base is designed:Logical relation, system function requirement according to business datum and database structure design is carried out, different types of data storage relation is designed;Taxonomic organization's spatial storage methods form is carried out for spatial data to be classified, data base's specification is formed;
3.2, data load warehouse-in:By the data of taxonomic revision according to data base's design classification warehouse-in, respectively business datum and spatial data are loaded into library storage according to the type of data;
3.3, database link:The data base for creating is registered, the link that data base is accessed for data, services is created;
3.4, Services Integration:Link and the interface for accessing data base is created according to the business demand in system and business characteristic, and is used to system after Services Integration is issued.Inquiry, statistics, analysis, management service are carried out integrated;
3.5, data base's quality inspection:Raw data to having been built up completing carries out quality testing, carries out quality inspection operation to business datum and spatial data respectively, and data form, georeferencing in its spatial data, topological relation, database structure are detected, generates quality of data report.Data form in business datum, data category, workflow, database structure are detected;
3.6, create index:Create the database index of business datum table, it is ensured that the uniqueness of data, improve the efficiency of data retrieval, it is ensured that the integrity of data;
3.7, create data dictionary:Data item, data structure, data flow, data storage, mathematical logic and external entity to tables of data is defined and describes, and completes the establishment of data dictionary.
Four, Map Services configuration:Spatial data is carried out symbol number to render and be published on corresponding map server, the integrative display of system configuration and service is carried out in appointing system.By taking Land and resources datas analysis design as an example, the symbolization of basic map is designed using international Design of Symbols standard, industry data is using country for the reallocation of land and present situation criteria for classification carry out the making of symbol, business datum is according to the specific of different business and needs to carry out symbol customization, by the symbol unification warehouse-in for making, and symbolization is carried out to data using GIS software render, it is issued as the Map Services for being available for external system to call.
4.1, make symbolic library:Corresponding map symbol is designed according to business characteristic and data type, basic data and thematic data are respectively adopted the universal standard and carry out Design of Symbols, business datum is rendered using the open symbols of different colours, and the map symbol for designing is unified into library storage;
4.2, data coding:Different types of map file is respectively configured, map symbols bank is imported in map file, symbolization is carried out to spatial data and is rendered;
4.3, Map Services are issued and configuration:The ground picture and text made are issued into the REST form Map Services for being available for system to access, Map Services is classified according to type of service, is configured in corresponding system.
Five, positioning service:Spatial data after fusion, business datum, important document data are synchronized, overlay analysis, and according to keyword retrieval, be indexed, position.By taking Land and resources datas analysis design as an example, business datum service and basic map data service superposition can be checked into the positional information of business datum and with the relation of surrounding enviroment etc.;Business datum service is superimposed with industry data service the information after can checking the present situation of massif information and planning, reference and foundation is provided for Bussiness office;Associated business service is overlapped into analysis, the utilization obstacle in current business plot can be analyzed, be the plot business handling progress msg, foundation is provided for business personnel's office.
5.1, data syn-chronization:By selecting map elements, by unique number information association corresponding with Service Database, business information is shown in map window;Keyword retrieval is carried out according to the actual requirements, is realized business information positioning spatially, and is shown the corresponding attribute data in the plot;
5.2, the overlay analysis of geographic information data:Analysis is overlapped by selecting plot data in single or region, analyze the present situation for being covered, the planning information of the plot data, pressure basic farmland information whether is accounted for, covered present situation, the accounting of each ground class of planning and concrete area is calculated, and is formed thematic map output printing.
Embodiment 2:
The schematic flow sheet of the multi-source data unity method based on geography information that Fig. 2 is provided for the present embodiment, as shown in Fig. 2 a kind of multi-source data unity method based on geography information, the method comprises the steps:
One, analysis design:Required data are investigated, data analysis report is generated, to needing data to be processed to carry out basic engineering on the basis of demand data report, the technical need of Data Integration processing is proposed, the analysis design of data is completed;
Two, data compilation processing:Data after analysis design are carried out into integration process;
Three, data loading:Achievement after data mart modeling is carried out into classification and integrates warehouse-in, form core database, core database includes spatial database and Non-spatial Data storehouse, wherein Non-spatial Data library structure data and unstructured data storehouse;
Four, Map Services configuration:Spatial data is carried out symbol number to render and be published on corresponding map server, the integrative display of system configuration and service is carried out in appointing system.
A kind of multi-source data unity method based on geography information as shown in Figure 3, wherein the step one analyzes concretely comprising the following steps for design:
1.1, data investigation:The data of demand are investigated, multi-class initial data is formed;
1.2, data combing:Combing is carried out to initial data, and the demand data for data center management being generated with application service is reported;
1.3, basic engineering:The technical scheme that design data is integrated, forms data center's data compilation and process technology demand, completes the analysis design of data.
A kind of multi-source data unity method based on geography information as shown in Figure 4, what the step 2 data compilation was processed are concretely comprised the following steps:
2.1, form conversion:The data of the consolidation form initial data of different-format being converted into needed for system, and the data after consolidation form are carried out into quality examination, error message to be pointed out, the data to not meeting prescription are processed;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, and the data of unified standard is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.3, Coordinate Conversion:Map datum being carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, and quality examination being carried out by the map datum under unified coordinate system is formed, error message is pointed out, the data to not meeting prescription are processed;
2.4, uniform data organizational form:Classification homologue mode different data are carried out into the unitized process of organizational form, form the generic data of Method of Data Organization identical, and generic data are carried out into quality examination, and error message to be pointed out, the data to not meeting prescription are processed;
2.5, data item is supplemented:Attribute information in data base is carried out perfect, attribute classification is enriched, data after organization of unity mode are detected, the incomplete data item of each data is carried out perfect, satisfactory data are formed, and satisfactory data are carried out into quality examination, the data for not meeting prescription are processed, error message is pointed out, the data to not meeting prescription are processed;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to the data after data compilation processing, and enter column catalogue arrangement to outcome data, it is that data loading is ready, and the data for needing warehouse-in is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed.
A kind of as shown in Figure 6 multi-source data unity method based on geography information, step 3 data loading are concretely comprised the following steps:
3.1, the structure of data base is designed:Structure design is carried out for business datum, the logical relation of each data is designed, different types of data storage relation is designed, taxonomic organization's spatial storage methods form is carried out for spatial data to be classified, business datum is merged by business demand with spatial data, data base's design is formed;
3.2, data load warehouse-in:The data put in order are designed according to database structure, respectively business datum and spatial data is loaded into library storage according to the type of data;
3.3, database link:The data base for creating is registered, there is provided access the link of data base for data, services;
3.4, Services Integration:According to different data types, link and the interface for accessing data base is created according to the business demand in system and business characteristic, and is used to system after Services Integration is issued.Inquiry, statistics, analysis, management service are carried out integrated;
3.5, data base's quality inspection:Raw data to having been built up completing carries out quality testing, business datum is detected and spatial data is detected, data form, georeferencing in its spatial data, topological relation, database structure are detected, generates quality of data report.Data form in business datum, data category, workflow, database structure are detected;
3.6, create index:Index is created for the business datum table in data base, it is ensured that the uniqueness of data, improve the efficiency of data retrieval, it is ensured that the integrity of data;
3.7, create data dictionary:Data item, data structure, data flow, data storage, mathematical logic and external entity to tables of data is defined and describes, and completes the establishment of data dictionary.
A kind of multi-source data unity method based on geography information as shown in Figure 7, what step 4 Map Services were configured are concretely comprised the following steps:
4.1, make symbolic library:Corresponding map symbol is designed according to business characteristic and data type, and the map symbol for designing is carried out into taxonomic revision, standardization forms the map symbols bank of unified management;
4.2, data coding:The map symbols bank that support is made, carries out symbolization to spatial data and renders, save as unified map file;
4.3, Map Services are issued and configuration:The map document made is issued into the Map Services for being available for system to access, Map Services is classified according to type of service, is configured in corresponding system.
In specific embodiment:The multi-source data unity method based on geography information is can be applicable on Mobile exhibiting platform.
In specific embodiment:The multi-source data unity method based on geography information is can be applicable on fixed display platform.
In specific embodiment:The data are:Spatial data, business datum, attribute data, Work stream data, important document data.
In specific embodiment:The spatial data is related to ground region, subterranean zone, public territory, commerce area, data processing, fusion is carried out in the region in enterprises and institutions, synergetic office work, positioning, is applied in presentation.
In specific embodiment:Described its business datum feature is classified by operation function, category of employment, region characteristic feature.
Below with a specific embodiment illustrating:
The technology design of the present embodiment is identical with the technology design of technical scheme and embodiment 1, therefore the constructed part that will not be described here.
A kind of multi-source data unity method based on geography information, the method comprise the steps:
One, analysis design:Required data are investigated, data analysis report is generated, to needing data to be processed to carry out basic engineering on the basis of demand data report, the technical need of Data Integration processing is proposed, the analysis design of data is completed;By taking Land and resources datas analysis design as an example, the step is specifically described as:Requirement investigation and data combing analysis are carried out to land resources initial data, Land and resources datas are divided into into basic data, industry data and business datum three major types, wherein basic data includes remote sensing image data, basic geological study data and administrative division data, industry data includes land use data, land use planning data, and business datum examines data, land supply data, land registration data, law enforcement supervision data, land control data and cadastral survey manual data with being categorized as again.According to data classification annotation, specific data compilation process requirements are proposed, the work of data analysis phase is completed.The idiographic flow of wherein step one is:
1.1, data investigation:Available data species, level to each department of land resources etc. are investigated, and form multi-class initial data inventory;
1.2, data combing:The data basic condition and final demand of all departments are found out, data management and application service statement of requirements is formed;
1.3, basic engineering:According to data cases and demand, design forming data compilation requires that with process technology the general technical that explicit data central database is built is required.The arrangement processing content of explicit data, method, flow process, step, technical requirements, quality inspection detailed rules and regulations etc., guide data arrange the development of processing, warehouse-in work etc..
Two, data compilation processing:Data after analysis design are carried out into integration process, and business datum, plot data and important document data are carried out into data fusion, data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message;By taking Land and resources datas analysis design as an example, the step is specifically described as:Uniform data format, is shp formatted datas by CAD data, account data, the unification of extended formatting data;The coordinate system of shp data, Raster Images data is unified;Middle field name, type to shp data, topology are checked automatically, and are standardized, it is ensured that the concordance of data;Data are carried out into the unitized process of organizational form according to Land and resources datas classification, the generic data of Method of Data Organization identical are formed;The attribute information of business datum carries out perfect, increases necessary shp fields and simultaneously enriches attribute information;Meta-data extraction and taxonomic revision are carried out to the data that arrangement is completed, and data source are provided for the data loading stage.The idiographic flow of wherein step 2 is:
2.1, form conversion:The initial data of different-format (.dwg/.shp/.xls etc.) is converted into into the consolidation form needed for system(.shp)Data;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, is specifically included:Form is arranged:By the electrical form data category collected carry out taxonomic revision,Data inputting:Papery data inputting,Data processing:By the grid data of DWG forms by unified requirement, the operations such as topological relation, fusion, merging, intersecting process, definition projection are carried out using GIS software, build grid pattern key element, and typing correlation attribute information;
2.3, Coordinate Conversion:Map datum is carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, such as data under former coordinate system the Xi'an1980 coordinate system data of standard requirement is converted to into reference to requiring according to uniform spaces;
2.4, uniform data organizational form:Classification homologue mode different data are carried out merger, storage, processed, the generic data of Method of Data Organization identical is formed, and generic data is carried out into quality examination;
2.5, data item is supplemented:Attribute information in all kinds of business datums is carried out perfect, its attribute classification is refined, and the binding character to attribute item, integrity are checked, improve data content;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to arranging the data after processing, and enters column catalogue arrangement to outcome data, be that data loading is ready;
Three, data loading:Achievement after data mart modeling is carried out into classification and integrates warehouse-in, form core database, core database includes spatial database and Non-spatial Data storehouse, wherein Non-spatial Data library structure data and unstructured data storehouse;By taking Land and resources datas analysis design as an example, the step is specifically described as:Database structure design is carried out to land resource database and spatial data poke mode is designed, the data loading operation that respectively achievement arranged after processing is standardized, and index and data dictionary are set up to data, quality examination is carried out to the quality of data and data base after the completion of warehouse-in.Foundation is available for data base's connection that data, services are accessed, and carries out database access operation using the Land and resources datas service after integrated.
3.1, the structure of data base is designed:Logical relation, system function requirement according to business datum and database structure design is carried out, different types of data storage relation is designed;Taxonomic organization's spatial storage methods form is carried out for spatial data to be classified, data base's specification is formed;
3.2, data load warehouse-in:By the data of taxonomic revision according to data base's design classification warehouse-in, respectively business datum and spatial data are loaded into library storage according to the type of data;
3.3, database link:The data base for creating is registered, the link that data base is accessed for data, services is created;
3.4, Services Integration:Link and the interface for accessing data base is created according to the business demand in system and business characteristic, and is used to system after Services Integration is issued.Inquiry, statistics, analysis, management service are carried out integrated;
3.5, data base's quality inspection:Raw data to having been built up completing carries out quality testing, carries out quality inspection operation to business datum and spatial data respectively, and data form, georeferencing in its spatial data, topological relation, database structure are detected, generates quality of data report.Data form in business datum, data category, workflow, database structure are detected;
3.6, create index:Create the database index of business datum table, it is ensured that the uniqueness of data, improve the efficiency of data retrieval, it is ensured that the integrity of data;
3.7, create data dictionary:Data item, data structure, data flow, data storage, mathematical logic and external entity to tables of data is defined and describes, and completes the establishment of data dictionary.
Four, Map Services configuration:Spatial data is carried out symbol number to render and be published on corresponding map server, the integrative display of system configuration and service is carried out in appointing system.By taking Land and resources datas analysis design as an example, the symbolization of basic map is designed using international Design of Symbols standard, industry data is using country for the reallocation of land and present situation criteria for classification carry out the making of symbol, business datum is according to the specific of different business and needs to carry out symbol customization, by the symbol unification warehouse-in for making, and symbolization is carried out to data using GIS software render, it is issued as the Map Services for being available for external system to call.
4.1, make symbolic library:Corresponding map symbol is designed according to business characteristic and data type, basic data and thematic data are respectively adopted the universal standard and carry out Design of Symbols, business datum is rendered using the open symbols of different colours, and the map symbol for designing is unified into library storage;
4.2, data coding:Different types of map file is respectively configured, map symbols bank is imported in map file, symbolization is carried out to spatial data and is rendered;
4.3, Map Services are issued and configuration:The ground picture and text made are issued into the REST form Map Services for being available for system to access, Map Services is classified according to type of service, is configured in corresponding system.
Aforesaid method description and schematic flow sheet are provided only as exemplary example and which is not intended to need or imply the step of must performing aforesaid operations or various aspects with given order.As it will be appreciated by those skilled in the art that, the order of the frame in aforementioned aspect can be performed in any order.Such as " thereafter ", " and then ", the word of " following " or the like be not intended to limit the order of operation or step;These words are only used for the description for guiding reader's traversal to method.Additionally, any singular reference to claim element, for example, be not construed as the element being limited to odd number using article " ", " one " or " being somebody's turn to do ".
Various illustrative box, module, circuit and algorithm steps with reference to aspect disclosed herein description can be implemented as electronic hardware, computer software or its combination.In order to clearly show that the interchangeability between hardware and software, overall description is carried out around its function to various illustrative components, frame, module, circuit and step above.Hardware is implemented as this function and is also implemented as software, the design constraint applied depending on specific application and to whole system.Those skilled in the art can be directed to each specific application, and described function is realized in the way of accommodation, but, it is this to realize that decision-making should not be interpreted as causing disengaging protection scope of the present invention.
Method in the embodiment of the present invention can effectively by by spatial data, business datum, attribute data, Work stream data, the multi-source informations such as important document data are effectively merged, data processing and methods for using them is effectively combined and is applied, reaching can be by data processing, analysis, multi-source data is applied into the transmission with the intelligent information represented in one after positioning, it is achieved thereby that by business datum and two, 3 D graphic data is effectively merged, realize that the data message of the three-dimensional of various dimensions is presented, and by data message with word, the form of figure and form forms analysis report, aid decision person carries out the decision-making of proposal.Not only the various information in the plot for being divided is represented in the form of picture and text combination, and the related business information in the plot is carried out into business in processing module represent, the reasonability of territory planning and the requirement analysis report of the property planned as a whole are realized, further aid in related policymaker effectively analysis reference frame to be provided for territory item goal programming.By the standardized administration of information-based means, place mat is carried out for information service system construction, lifted in capital construction of persistently promoting IT application and ensure service ability, place mat is carried out to push forward informatization comprehensively and providing the real-time of platform and information resources, integrity.Change the life of people, promote the development of commercial production, urban construction and national defense industry, reach real electronic information and mutually merge with geographical information technology, so as to realize the popularization of smart city concept with application.
The described above of disclosed aspect is provided, so that any person skilled in the art can realize or using the present invention.To those skilled in the art, the various modifications in terms of these will be apparent, and general principles defined herein can also be applied to other embodiments in the case of without deviating from the spirit and scope of the disclosed invention.Therefore, the present invention is not intended to be limited to aspect given herein, but with meet the most wide scope consistent with principle disclosed herein and novel feature.

Claims (10)

1. a kind of multi-source data unity method based on geography information, it is characterised in that:The method comprises the steps:
One, analysis design:Required data are investigated, data analysis report is generated, to needing data to be processed to carry out basic engineering on the basis of demand data report, the technical need of Data Integration processing is proposed, the analysis design of data is completed;
Two, data compilation processing:Data after analysis design are carried out into integration process;
Three, data loading:Achievement after data mart modeling is carried out into classification and integrates warehouse-in, form core database, core database includes spatial database and Non-spatial Data storehouse, wherein Non-spatial Data library structure data and unstructured data storehouse;
Four, Map Services configuration:Spatial data is carried out symbol number to render and be published on corresponding map server, the integrative display of system configuration and service is carried out in appointing system.
2. a kind of multi-source data unity method based on geography information according to claim 1, it is characterised in that:The step 2, data compilation are processed as:Data after analysis design are carried out into integration process, and business datum, plot data and important document data are carried out into data fusion, data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message.
3. a kind of multi-source data unity method based on geography information according to claim 1,2, it is characterised in that:Described the method also includes five, positioning service;Wherein described positioning service:Plot data after fusion, business datum, important document data are synchronized, overlay analysis, and according to keyword retrieval, be indexed, position.
4. a kind of multi-source data unity method based on geography information according to claim 1, it is characterised in that:What step one analysis was designed concretely comprises the following steps:
1.1, data investigation:The data of demand are investigated, multi-class initial data is formed;
1.2, data combing:Combing is carried out to initial data, and the demand data for data center management being generated with application service is reported;
1.3, basic engineering:The technical scheme that design data is integrated, forms data center's data compilation and process technology demand, completes the analysis design of data.
5. a kind of multi-source data unity method based on geography information according to claim 1, it is characterised in that:What the step 2 data compilation was processed concretely comprises the following steps:
2.1, form conversion:The data of the consolidation form initial data of different-format being converted into needed for system, and the data after consolidation form are carried out into quality examination, error message to be pointed out, the data to not meeting prescription are processed;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, and the data of unified standard is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.3, Coordinate Conversion:Map datum being carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, and quality examination being carried out by the map datum under unified coordinate system is formed, error message is pointed out, the data to not meeting prescription are processed;
2.4, uniform data organizational form:Classification homologue mode different data are carried out into the unitized process of organizational form, form the generic data of Method of Data Organization identical, and generic data are carried out into quality examination, and error message to be pointed out, the data to not meeting prescription are processed;
2.5, data item is supplemented:Attribute information in data base is carried out perfect, attribute classification is enriched, data after organization of unity mode are detected, the incomplete data item of each data is carried out perfect, satisfactory data are formed, and satisfactory data are carried out into quality examination, the data for not meeting prescription are processed, error message is pointed out, the data to not meeting prescription are processed;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to the data after data compilation processing, and enter column catalogue arrangement to outcome data, it is that data loading is ready, and the data for needing warehouse-in is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed.
6. a kind of multi-source data unity method based on geography information according to claim 2, it is characterised in that:What the step 2 data compilation was processed concretely comprises the following steps:Data compilation is processed as:Business datum, plot data and important document data are carried out into data fusion, the data message after fusion is made whether into that meeting the reallocation of land, the present situation to current position block message is reasonably analyzed, and automatically generates the analysis report of the ground block message;
2.1, form conversion:The data of the consolidation form initial data of different-format being converted into needed for system, and the data after consolidation form are carried out into quality examination, error message to be pointed out, the data to not meeting prescription are processed;
2.2, standardization:Data processing is carried out according to standard to the data after consolidation form, the data of unified standard is formed, and the data of unified standard is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.3, Coordinate Conversion:Map datum being carried out into Coordinate Conversion, the map datum under unified coordinate system is formed, and quality examination being carried out by the map datum under unified coordinate system is formed, error message is pointed out, the data to not meeting prescription are processed;
2.4, uniform data organizational form:Classification homologue mode different data are carried out into the unitized process of organizational form, form the generic data of Method of Data Organization identical, and generic data are carried out into quality examination, and error message to be pointed out, the data to not meeting prescription are processed;
2.5, data item is supplemented:Attribute information in data base is carried out perfect, attribute classification is enriched, data after organization of unity mode are detected, the incomplete data item of each data is carried out perfect, satisfactory data are formed, and satisfactory data are carried out into quality examination, the data for not meeting prescription are processed, error message is pointed out, the data to not meeting prescription are processed;
2.6, metadata acquisition and catalogue are arranged:The collection of metadata is carried out to the data after data compilation processing, and enter column catalogue arrangement to outcome data, it is that data loading is ready, and the data for needing warehouse-in is carried out into quality examination, error message is pointed out, the data to not meeting prescription are processed;
2.7, data fusion:Business datum and plot data are matched with data by plot label, the data fusion of service attribute data and plot figure layer is formed;Business datum and important document data are carried out into Data Matching by process code and data, the data fusion of service attribute data and important document data is formed;Will number of packages evidence and plot data Data Matching is carried out by plot label and business label, form the data fusion of important document data and plot figure layer;Business datum, important document data and plot data are matched with business datum by plot label, process code, the data fusion of service attribute data, important document data and plot figure layer is formed;
2.8, data analysiss:Data after fusion are carried out into the overlay analysis of figure layer, judges whether the land used data after overlay analysis meet planning demand, result judgement is carried out according to different planning demands, and various judged results are formed into corresponding analysis report;Wherein analysis report in the form of text, diagrammatic form shown.
7. a kind of multi-source data unity method based on geography information according to claim 1, it is characterised in that:Step 3 data loading is concretely comprised the following steps:
3.1, the structure of data base is designed:Structure design is carried out for business datum, the logical relation of each data is designed, different types of data storage relation is designed, taxonomic organization's spatial storage methods form is carried out for spatial data to be classified, business datum is merged by business demand with spatial data, data base's design is formed;
3.2, data load warehouse-in:The data put in order are designed according to database structure, respectively business datum and spatial data is loaded into library storage according to the type of data;
3.3, database link:The data base for creating is registered, there is provided access the link of data base for data, services;
3.4, Services Integration:According to different data types, link and the interface for accessing data base is created according to the business demand in system and business characteristic, and is used to system after Services Integration is issued;Inquiry, statistics, analysis, management service are carried out integrated;
3.5, data base's quality inspection:Raw data to having been built up completing carries out quality testing, business datum is detected and spatial data is detected, data form, georeferencing in its spatial data, topological relation, database structure are detected, generates quality of data report;
Data form in business datum, data category, workflow, database structure are detected;
3.6, create index:Index is created for the business datum table in data base, it is ensured that the uniqueness of data, improve the efficiency of data retrieval, it is ensured that the integrity of data;
3.7, create data dictionary:Data item, data structure, data flow, data storage, mathematical logic and external entity to tables of data is defined and describes, and completes the establishment of data dictionary.
8. a kind of multi-source data unity method based on geography information according to claim 1, it is characterised in that:What step 4 Map Services were configured concretely comprises the following steps:
4.1, make symbolic library:Corresponding map symbol is designed according to business characteristic and data type, and the map symbol for designing is carried out into taxonomic revision, standardization forms the map symbols bank of unified management;
4.2, data coding:The map symbols bank that support is made, carries out symbolization to spatial data and renders, save as unified map file;
4.3, Map Services are issued and configuration:The map document made is issued into the Map Services for being available for system to access, Map Services is classified according to type of service, is configured in corresponding system.
9. a kind of multi-source data unity method based on geography information according to claim 3, it is characterised in that:Step 5 positioning service is concretely comprised the following steps:
5.1, data syn-chronization:Plot data are obtained from map, business datum is corresponded in the field of plot according to business demand, the associated traffic data in the plot is inquired about in realization on map, and keyword retrieval is carried out according to the actual requirements, positioning of the plot in figure layer is realized, and shows the corresponding business datum in the plot, important document data;
5.2, the overlay analysis of geographic information data:Plot data after upload are automatically analyzed, the present situation for being covered of the plot data, planning is analyzed, whether is accounted for pressure basic farmland information, calculated the accounting and concrete area of each ground class of covered present situation planning, and form present situation planning chart.
10. a kind of multi-source data unity method based on geography information according to claim 1-9, it is characterised in that:The multi-source data unity method based on geography information is can be applicable on Mobile exhibiting platform;The multi-source data unity method based on geography information is can be applicable on fixed display platform;The data are:Spatial data, business datum, attribute data, Work stream data, important document data;The spatial data is related to ground region, subterranean zone, public territory, commerce area, data processing, fusion is carried out in the region in enterprises and institutions, synergetic office work, positioning, is applied in presentation;Described its business datum feature is classified by operation function, category of employment, region characteristic feature.
CN201510681947.8A 2015-10-21 2015-10-21 Multi-source data integration method based on geographic information Pending CN106610957A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510681947.8A CN106610957A (en) 2015-10-21 2015-10-21 Multi-source data integration method based on geographic information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510681947.8A CN106610957A (en) 2015-10-21 2015-10-21 Multi-source data integration method based on geographic information

Publications (1)

Publication Number Publication Date
CN106610957A true CN106610957A (en) 2017-05-03

Family

ID=58610545

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510681947.8A Pending CN106610957A (en) 2015-10-21 2015-10-21 Multi-source data integration method based on geographic information

Country Status (1)

Country Link
CN (1) CN106610957A (en)

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107562953A (en) * 2017-09-28 2018-01-09 成都万江港利科技股份有限公司 A kind of river information system based on GIS geographical information technologies
CN107861718A (en) * 2017-11-13 2018-03-30 中国电力科学研究院有限公司 A kind of network system and method for supporting isomery GIS platform
CN107909245A (en) * 2017-10-24 2018-04-13 星际空间(天津)科技发展有限公司 A kind of production method of inventory land
CN108038201A (en) * 2017-12-12 2018-05-15 无锡华云数据技术服务有限公司 A kind of data integrated system and its distributed data integration system
CN108074013A (en) * 2017-11-13 2018-05-25 杭州鸿晟电力设计咨询有限公司 A kind of space saturation load forecasting method and instrument
CN108647217A (en) * 2017-12-27 2018-10-12 广东智政信息科技有限公司 Big data platform integrated management system based on safety supervision application
CN109299205A (en) * 2018-10-23 2019-02-01 泰华智慧产业集团股份有限公司 The method and apparatus that will plan that the spatial data that industry uses is put in storage
CN109325017A (en) * 2018-10-25 2019-02-12 中国辐射防护研究院 A kind of database design method of radionuclide migration diffusion numerical simulation system
CN109657029A (en) * 2018-12-20 2019-04-19 贵州德稻生态文明大数据中心有限公司 A kind of network platform prediction technique for project region
CN109684435A (en) * 2019-01-11 2019-04-26 长沙市规划勘测设计研究院 Specialized multi-source heterogeneous space-time geodata is gone to integrate system and method
CN109684428A (en) * 2018-12-12 2019-04-26 广东启慧城市信息有限公司 Spatial data building method, device, equipment and storage medium
CN110019228A (en) * 2017-12-25 2019-07-16 北京金风科创风电设备有限公司 Multi-source data integration method and device based on fan data
CN110148062A (en) * 2019-04-26 2019-08-20 长沙迪迈数码科技股份有限公司 A kind of mine service software system implementation method dug up mine under production technology collaboration
CN110347741A (en) * 2019-07-18 2019-10-18 普元信息技术股份有限公司 The system and its control method of the outputting result quality of data are effectively promoted in big data treatment process
CN111221794A (en) * 2020-02-17 2020-06-02 湖南工学院 Multi-source data fusion method for wide-area measurement control system of power distribution network
WO2020124290A1 (en) * 2018-12-16 2020-06-25 吉安市井冈山开发区金庐陵经济发展有限公司 Storage device
CN111797083A (en) * 2020-06-02 2020-10-20 成都方未科技有限公司 Normalized basic geographic data making method and system
CN111966670A (en) * 2020-07-08 2020-11-20 成都星时代宇航科技有限公司 Remote sensing data distribution method and device based on mosaic data set and management platform
CN113076372A (en) * 2021-04-30 2021-07-06 国网山东省电力公司经济技术研究院 Management method and system for electric power safety quality inspection data
CN113268555A (en) * 2021-05-26 2021-08-17 深圳市有方科技股份有限公司 Map generation method and device for multi-type data and computer equipment
CN113486105A (en) * 2021-07-15 2021-10-08 广州城市规划技术开发服务部有限公司 Natural resource historical service data integration method and device for CIM
CN113626408A (en) * 2021-08-05 2021-11-09 广州城市信息研究所有限公司 City information database construction method and map display method
CN113884036A (en) * 2021-09-22 2022-01-04 浙江省水利河口研究院(浙江省海洋规划设计研究院) Coordinate conversion method and device, electronic equipment and storage medium
CN114020955A (en) * 2021-10-22 2022-02-08 深圳市中博科创信息技术有限公司 Data management method, device, equipment and medium based on image layer
CN114398456A (en) * 2021-12-30 2022-04-26 如皋市勘测院有限公司 Geographic service publishing system and method based on full data
CN114546994A (en) * 2022-04-25 2022-05-27 北京华清安地建筑设计有限公司 Data analysis method and system for improving functions of old factory floor based on data container

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1838164A (en) * 2006-04-26 2006-09-27 东南大学 Full-digitized field information acquisition, recording and processing method for land survey
CN101276347A (en) * 2007-03-30 2008-10-01 上海众恒信息产业有限公司 Visualizing system and method of data information
CN101510208A (en) * 2009-03-17 2009-08-19 北京航空航天大学 Tourist attraction intelligent guide system based on high precision positioning
US20110066675A1 (en) * 2009-09-14 2011-03-17 Brian Klawinski Method and program product for GIS enabled land management system
CN103226604A (en) * 2013-04-27 2013-07-31 上海先之决信息科技发展有限公司 SVG-based Web GIS system and relevant energy consumption monitoring system
CN103793399A (en) * 2012-10-31 2014-05-14 北京航天长峰科技工业集团有限公司 Method for integrating information resources of system of politics and law
CN103970905A (en) * 2014-05-27 2014-08-06 重庆大学 Automatic composition and integration method for multi-source vector geographic information data
CN104504057A (en) * 2014-12-19 2015-04-08 东南大学 Public-network-map-aided land survey method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1838164A (en) * 2006-04-26 2006-09-27 东南大学 Full-digitized field information acquisition, recording and processing method for land survey
CN101276347A (en) * 2007-03-30 2008-10-01 上海众恒信息产业有限公司 Visualizing system and method of data information
CN101510208A (en) * 2009-03-17 2009-08-19 北京航空航天大学 Tourist attraction intelligent guide system based on high precision positioning
US20110066675A1 (en) * 2009-09-14 2011-03-17 Brian Klawinski Method and program product for GIS enabled land management system
US20140108271A1 (en) * 2009-09-14 2014-04-17 Brian Klawinski Method and System for GIS Enabled Land Management System
CN103793399A (en) * 2012-10-31 2014-05-14 北京航天长峰科技工业集团有限公司 Method for integrating information resources of system of politics and law
CN103226604A (en) * 2013-04-27 2013-07-31 上海先之决信息科技发展有限公司 SVG-based Web GIS system and relevant energy consumption monitoring system
CN103970905A (en) * 2014-05-27 2014-08-06 重庆大学 Automatic composition and integration method for multi-source vector geographic information data
CN104504057A (en) * 2014-12-19 2015-04-08 东南大学 Public-network-map-aided land survey method

Cited By (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107562953A (en) * 2017-09-28 2018-01-09 成都万江港利科技股份有限公司 A kind of river information system based on GIS geographical information technologies
CN107909245A (en) * 2017-10-24 2018-04-13 星际空间(天津)科技发展有限公司 A kind of production method of inventory land
CN107909245B (en) * 2017-10-24 2021-11-26 星际空间(天津)科技发展有限公司 Method for manufacturing land used for storage
CN107861718A (en) * 2017-11-13 2018-03-30 中国电力科学研究院有限公司 A kind of network system and method for supporting isomery GIS platform
CN108074013A (en) * 2017-11-13 2018-05-25 杭州鸿晟电力设计咨询有限公司 A kind of space saturation load forecasting method and instrument
CN108074013B (en) * 2017-11-13 2021-03-02 杭州鸿晟电力设计咨询有限公司 Space saturation load prediction method and tool
CN108038201A (en) * 2017-12-12 2018-05-15 无锡华云数据技术服务有限公司 A kind of data integrated system and its distributed data integration system
CN110019228A (en) * 2017-12-25 2019-07-16 北京金风科创风电设备有限公司 Multi-source data integration method and device based on fan data
CN108647217A (en) * 2017-12-27 2018-10-12 广东智政信息科技有限公司 Big data platform integrated management system based on safety supervision application
CN109299205A (en) * 2018-10-23 2019-02-01 泰华智慧产业集团股份有限公司 The method and apparatus that will plan that the spatial data that industry uses is put in storage
CN109299205B (en) * 2018-10-23 2021-02-09 泰华智慧产业集团股份有限公司 Method and device for warehousing spatial data used by planning industry
CN109325017B (en) * 2018-10-25 2022-03-04 中国辐射防护研究院 Database design method of radionuclide migration diffusion numerical simulation system
CN109325017A (en) * 2018-10-25 2019-02-12 中国辐射防护研究院 A kind of database design method of radionuclide migration diffusion numerical simulation system
CN109684428A (en) * 2018-12-12 2019-04-26 广东启慧城市信息有限公司 Spatial data building method, device, equipment and storage medium
WO2020124290A1 (en) * 2018-12-16 2020-06-25 吉安市井冈山开发区金庐陵经济发展有限公司 Storage device
CN109657029A (en) * 2018-12-20 2019-04-19 贵州德稻生态文明大数据中心有限公司 A kind of network platform prediction technique for project region
CN109684435A (en) * 2019-01-11 2019-04-26 长沙市规划勘测设计研究院 Specialized multi-source heterogeneous space-time geodata is gone to integrate system and method
CN109684435B (en) * 2019-01-11 2019-09-10 长沙市规划勘测设计研究院 Specialized multi-source heterogeneous space-time geodata is gone to integrate system and method
CN110148062A (en) * 2019-04-26 2019-08-20 长沙迪迈数码科技股份有限公司 A kind of mine service software system implementation method dug up mine under production technology collaboration
CN110347741A (en) * 2019-07-18 2019-10-18 普元信息技术股份有限公司 The system and its control method of the outputting result quality of data are effectively promoted in big data treatment process
CN110347741B (en) * 2019-07-18 2023-05-05 普元信息技术股份有限公司 System for effectively improving output result data quality in big data processing process and control method thereof
CN111221794A (en) * 2020-02-17 2020-06-02 湖南工学院 Multi-source data fusion method for wide-area measurement control system of power distribution network
CN111797083A (en) * 2020-06-02 2020-10-20 成都方未科技有限公司 Normalized basic geographic data making method and system
CN111966670A (en) * 2020-07-08 2020-11-20 成都星时代宇航科技有限公司 Remote sensing data distribution method and device based on mosaic data set and management platform
CN113076372A (en) * 2021-04-30 2021-07-06 国网山东省电力公司经济技术研究院 Management method and system for electric power safety quality inspection data
CN113268555A (en) * 2021-05-26 2021-08-17 深圳市有方科技股份有限公司 Map generation method and device for multi-type data and computer equipment
CN113486105B (en) * 2021-07-15 2024-03-26 广州城市规划技术开发服务部有限公司 CIM-oriented natural resource history business data integration method and device
CN113486105A (en) * 2021-07-15 2021-10-08 广州城市规划技术开发服务部有限公司 Natural resource historical service data integration method and device for CIM
CN113626408B (en) * 2021-08-05 2022-04-12 广州城市信息研究所有限公司 City information database construction method and map display method
CN113626408A (en) * 2021-08-05 2021-11-09 广州城市信息研究所有限公司 City information database construction method and map display method
CN113884036A (en) * 2021-09-22 2022-01-04 浙江省水利河口研究院(浙江省海洋规划设计研究院) Coordinate conversion method and device, electronic equipment and storage medium
CN113884036B (en) * 2021-09-22 2023-09-29 浙江省水利河口研究院(浙江省海洋规划设计研究院) Coordinate conversion method and device, electronic equipment and storage medium
CN114020955A (en) * 2021-10-22 2022-02-08 深圳市中博科创信息技术有限公司 Data management method, device, equipment and medium based on image layer
CN114398456A (en) * 2021-12-30 2022-04-26 如皋市勘测院有限公司 Geographic service publishing system and method based on full data
CN114546994A (en) * 2022-04-25 2022-05-27 北京华清安地建筑设计有限公司 Data analysis method and system for improving functions of old factory floor based on data container

Similar Documents

Publication Publication Date Title
CN106610957A (en) Multi-source data integration method based on geographic information
CN106610958A (en) Integrated management system of geographic information data
CN107092680B (en) Government affair information resource integration method based on geographic grids
CN106611246A (en) Integrated management system of land and resources
David et al. Conceptual models for geometry and quality of geographic information
CN106599332A (en) Three-dimensional digital scheme aided design and display method
Lv et al. Impact of digital twins and metaverse on cities: history, current situation, and application perspectives
CN111221867B (en) Protective building information management system
Sladić et al. Development of process model for Serbian cadastre
Guo et al. The applications and practices of 3D cadastre in Shenzhen
CN106610963A (en) Geographic information-based multi-source information processing system
CN106203787A (en) The industry information analysis method added based on a figure and system
CN106779620A (en) Digitized Design Platform building method based on IPD systems
CN108121707B (en) Intelligent monitoring system for urban and rural construction big data
CN108170855A (en) A kind of CityGML and IFC data unified query and data pick-up method
Xu et al. Automated optimization for the production scheduling of prefabricated elements based on the genetic algorithm and IFC object segmentation
Wang et al. Integration of 3DGIS and BIM and its application in visual detection of concealed facilities
Zhang et al. Template-based knowledge reuse method for generating high-speed railway virtual construction scenes
US20150154567A1 (en) Facility management system using perspective definition metadata and method therefor
Morel et al. Managing Temporal Change of Cities with CityGML.
CN116842092A (en) Method and system for database construction and collection management
Bi et al. Research on CIM basic platform construction
Amirebrahimi et al. An integrated web-based 3D modeling and visualization platform to support sustainable cities
Dangermond Trends in GIS and comments
Chaturvedi Integration and management of time-dependent properties with semantic 3D city 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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20170503

WD01 Invention patent application deemed withdrawn after publication