CN107526786A - The method and system that place name address date based on multi-source data is integrated - Google Patents
The method and system that place name address date based on multi-source data is integrated Download PDFInfo
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Abstract
The present invention relates to a kind of place name address date integration system based on multi-source data, comprise the following steps：(1) data are collected, choose data model and organizational structure design：The place name of separate sources, address and interest point data structure, attribute field, georeferencing are integrated into a sets of data, choose data model, design organization structure；(2) data prediction：The place name address date form of multi-source is standardized, is unified for manageable form；(3) duplicate data inquiry, rejecting：The place name address date of multi-source is carried out repeating point inquiry；(4) data fusion：Multi-source data is matched and integrated；(5) data are audited：Batch examination ＆ verification is carried out to fused data using GIS software, by the way of automatic examination ＆ verification and manual examination and verification combine；Stored if examination ＆ verification is qualified to database, build outcome data, if examination ＆ verification is unqualified, returned data fusion steps re-start data fusion, until examination ＆ verification is qualified.
Description
Technical field
The present invention relates to geographic information services technical field, more particularly to a kind of place name address date based on multi-source data
Integration system and method.
Background technology
With the city management work such as public safety, emergency cooperative, intelligent transportation, city management, environmental renovation, protection against and mitigation of earthquake disasters
Make constantly to propose the supportability of dimensional information's basic installation new requirement, build unified, authority, the place name number of addresses of the trend of the times
According to storehouse, the development of exploitation level of primary spatial data can not only be substantially improved, and its government department, different industries
His information resources share is served by having important reference and reference value, help to start basic control survey it is shared,
Service and the new model of application.Particularly under geographic information public service platform construction promotion, by real-time performance place name
The inquiry of location information, browse, order that application demand is further strong, abundant, the trend of the times place name address base will be that government and the public carry
The application services such as inquiry, positioning, statistics and thematic information spatial match for meeting self-demand, it is total to for all kinds of spatial informations
Enjoy exchange and basis is provided, play the pivotal role during geography information frame data is built in digital city and smart city.
Place name address As-Is analysis：1) data source is extensive：Place name address date is related to multiple functional departments, such as state
Soil, civil administration, house property, public security, combustion gas, industry and commerce, statistics, quality inspection, land tax etc..Therefore analyzed from the angle in data resource source,
Its source department is numerous, as shown in Figure 1；2) standard disunity, form are various；Each functional department due to itself focus not
Together, caused place name address date form is also various, and unified specification is lacked in process of construction and is instructed, and causes existing at present each
Class address date does not possess higher normalization.It is in particular in not advising for the name of file, the setting of field and address descriptor
Plasticity and diversity.Such as：Land departments place name address date derives from topographic map DWG forms, and the administration for industry and commerce's data source is in stepping on
Numeration is according to EXCEL forms；3) spatial data lacks：In the place name address date for each functional department collected, only Department of Civil Affairs, public affairs
The doorplate of peace office and Bureau of Surveying and Mapping, geographical name data belong to GIS spatial data, place name address date all Yes-No space numbers of other departments
According to only simple address descriptive information to it, it is necessary to carry out coordinate imparting；4) poor compatibility, data sharing can not be realized；By
It is compatible very poor between no unified place name address base database technology standards and norms, disparate databases, it can not realize
Data resource is shared, and limits the application of urban addresses information of place names management system and shares.
Therefore, it is necessary to develop it is a kind of can integrate the multidisciplinary place name address date such as civil administration, house property, public security, territory,
The place name address date of unified standard is established, realizes the place name address based on multi-source data of the efficient management of magnanimity address date
The method of Data Integration.
The content of the invention
The technical problem to be solved in the present invention is to provide one kind, and can to integrate civil administration, house property, public security, territory etc. multidisciplinary
Place name address date, establish the place name address date of unified standard, realize magnanimity address date efficient management based on more
The method that the place name address date of source data is integrated.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：A kind of place name based on multi-source data
The method of location Data Integration, comprises the following steps：
(1) data are collected, choose data model and organizational structure design：By the place name of separate sources, address and emerging
Interesting point data structure, attribute field, georeferencing are integrated into a sets of data, choose data model, design organization structure；
(2) data prediction：The place name address date form of multi-source is standardized, is unified for manageable
Form；
(3) duplicate data inquiry, rejecting：The place name address date of multi-source is carried out repeating point inquiry, the weight that will be inquired
Complex point is rejected；
(4) data fusion：Multi-source data is cleaned, matched and integrated；
(5) data are audited：Batch examination ＆ verification is carried out to fused data using GIS software, using automatic examination ＆ verification and people
The mode that work examination ＆ verification combines；Stored if examination ＆ verification is qualified to database, build outcome data, if examination ＆ verification is unqualified, returned data
Fusion steps re-start data fusion, until examination ＆ verification is qualified.
Using above-mentioned technical proposal, by user by multi-source place name address date input system software, by system software pair
Multi-source data forms the unification of standard by flows such as data prediction, the rejecting of emphasis data, data fusion, data examination ＆ verifications
Authority data, establish the place name address date of standard.Wherein, the place name of separate sources, address and interest point data structure, category
Property field, georeferencing it is all inconsistent, be integrated into a sets of data, it is necessary to have rational data model and identical
Institutional framework, to realize the unified management of data.Herein with reference to the model definition of related geographical entity, data model is divided into base
This attribute and extended attribute；Base attribute is shared field, and extended attribute sets different attributes according to different entities type
Content, stored with data tableau format, the two is identified and linked by unique pel code.The data model both meets to unite
One management requires that and can enough retains the particular attribute of different pieces of information；1) base attribute：According to the requirement of data, it is set
Base attribute, including element name, address, type codes, longitude, latitude, Sort Code, pel identification code etc.；2) extended attribute：
Place name, address and point of interest have various features attribute, can not be described with unified data structure, and extended attribute item can be with
Spread is carried out according to various data types, ensures the integrality and scalability of data message；In application according to
Classification adds various extended attribute items, and fixed again as needed during actual job, the attribute as road famous cake needs to extend can
So that including road number, category of roads, road width etc., Water system scale, affiliated basin can be included in water system point extended attribute
Deng professional attributes.Address library data relative priority is more single, can suitably be extended according to being actually needed；What point of interest was related to
Quantity is more, and classification is complicated, the peculiar abundant information of every kind of classification, therefore the extended attribute of point of interest can be according to three different fractions
Class category feature is extended, but will typically be included telephone number, network address, postcode, data acquisition time, acquisition units, be adopted
Collect the information such as people；In addition, the inquiry for repeating point mainly has 2 kinds of methods；Method one is to combine locus, by separate sources data
It is attached according to name field, finds out title identical point, reference is screened after being exported.The deficiency of this method
It is that can only find out the completely the same point of title, the different repetition point of many titles can not be found out, so needing to enter data
Row fuzzy query.Method two is to utilize FME softwares, data fuzzy query module is built, by a certain key element and its certain distance model
All key elements in enclosing are matched one by one, take matching degree highest key element, and are matched angle value and match the name of key element
Title is write on inside its attribute.Wherein, the distance of matching can be configured according to actual conditions, for place name, park, industry park
Area, residential quarters etc. refer to the bigger point of scope, and matching distance can be set somewhat a little louder, such as 500m~1000m or so；And
For in general POI types, matching distance can be arranged between 50m~100m scopes., can with reference to matching degree and matching title
Whether be identical element between quick interpretation key element, further according to the references such as image and data source Up-to-date state itself, precision,
The factors such as attribute integrality, correctness, selection attribute information is complete, positional precision is high, the relatively good point of Up-to-date state, so as to reject
Repeat point.This method carries out data duplicate checking by fuzzy matching, while can find the completely the same repetition point of title out, has
There are higher practicality and correctness.
The present invention further improvement is that, include the step of data fusion in the step (4)：
1) data prediction：The data of extended formatting are converted into shape formatted datas, it is stand-by；
2) geographic element feature extraction：According to《Cadastral Management Information System graph data standard》Data point are carried out by feature
Class, then to without character code data, manually carrying out interpretation, carrying out data classification；
3) data encoding is changed：According to《Cadastral Management Information System graph data standard》With《Fundamental Geographic Information System key element
Sorting code number》Corresponding relation carries out code conversion；
4) data edition：With extracting tape symbol characteristic, wire, the feature skeleton line of area feature and point-like respectively
The characteristic point of thing；
5) topology editor：Integrate the topological relation between key element, construction face key element and grid；
6) attributes match and assignment：Attribute information is matched and assigned to each key element；
7) Coordinate Conversion：It is not WGS84 vector data progress Coordinate Conversion for coordinate.
The present invention further improvement is that, the inquiry of the repetition point in the step (3) mainly has 2 kinds of methods：Method one
It is to combine locus, separate sources data is attached according to name field, title identical point are found out, after being exported
Ginseng is turned over the data of examining and screened；Method two is to utilize FME softwares, builds data fuzzy query module, key element is being matched with it
All key elements in the range of distance are matched one by one, take matching degree highest key element, and are matched angle value and matched
The title of key element is write on inside its attribute；
The present invention further improvement is that, data model in the step (1) according to the model definition of geographical entity, point
For base attribute and extended attribute.
The present invention further improvement is that, the base attribute include element name, address, type codes, longitude, latitude,
Sort Code and pel identification code；According to the requirement of data, the base attribute of data is set.
The present invention further improvement is that, the matching in the method two of the inquiry of the repetition point in the step (3)
Distance can be configured according to actual conditions, be compared for place name, park, industrial park, this kind of scope that refers in residential quarters
Big point, matching distance can be set a little louder；And for POI types, matching distance can be arranged on 50m~100m scopes it
Between.
The present invention further improvement is that, the place name address date sources of the collections data in the step (1) is including more
Place name address date, interest point data and the third party's data of department, wherein it is multidisciplinary including statistics bureau, public security bureau, Department of Qulity Supervision,
Local Tax Bureau, Department of Civil Affairs, live to found the bureau, industrial and commercial bureau, housing bureau and Land and Resources Bureau.It is multidisciplinary to use place name address including other
Department.
The present invention further improvement is that, reference in the step (3) includes various resolution image figures, document
Data, 1:10000 and 1：50000 digital line draws map (DLG) and atlas and network data.
The present invention further improvement is that, the topology editor in the step 5) specifically includes line feature and region feature.
What the present invention also technical problems to be solved were to provide that a kind of place name address date based on multi-source data integrates is
System.
In order to solve the above-mentioned technical problem, the technical solution adopted in the present invention is：The place name based on multi-source data
Location data integrated system, it is characterised in that being somebody's turn to do the place name address date integration system based on multi-source data includes data prediction
Module, data cleansing module, data fusion module, data-auditing module and data model module；The data preprocessing module,
Data-auditing module, data fusion module, data cleansing module and data model module are electrically connected with the control module
And it is in bidirectional data transfers；The data model module is used for the place name address data model for establishing standardization；The data are pre-
Processing module is used to the place name address date form of multi-source being standardized, and is unified for manageable form；It is described
Data cleansing module is used to the place name address date of multi-source is carried out to repeat point inquiry and rejects repetition point；The data fusion
Module is used to multi-source data is matched and integrated；The data-auditing module is used for using GIS software to fused
Data carry out batch examination ＆ verification, by the way of automatic examination ＆ verification and manual examination and verification combine.Multi-source data place name address date system
Software is developed using JAVA language, and wherein data model module is responsible for establishing the place name address data model of standardization；Data are pre-
Processing module is responsible for the place name address date of different-format carrying out unified conversion, and data cleansing module is responsible for the number according to setting
Pretreated data are carried out according to model to repeat point data rejecting；Data fusion module is according to one by the data after cleaning
Fixed logical construction carries out Data Integration；Data-auditing module is responsible for carrying out quality examination work to the data after fusion.
Compared with prior art, the beneficial effects of the invention are as follows：
1) the Data Integration flow for the standard established, it is various to solve current data class, the multifarious problem of form；
2) the Data Integration flow and technical scheme of a set of standardization are provided, greatly reduce the process manually participated in, is saved
The Data Integration time is saved；
3) isomeric data integration technology is used, quick, efficient technology solution is provided for the updating maintenance of later data
Scheme, solves the problem that place name address quickly updates.
Brief description of the drawings
Technical scheme is further described below in conjunction with the accompanying drawings：
Fig. 1 is the data source figure for the method that the place name address date based on multi-source data of the present invention is integrated；
Fig. 2 is the flow chart for the method that the place name address date based on multi-source data of the present invention is integrated；
Fig. 3 is the flow of the data fusion in the method that the place name address date based on multi-source data of the present invention is integrated
Figure；
Fig. 4 is the hardware block diagram for the system that the place name address date based on multi-source data of the present invention is integrated.
Embodiment
In order to deepen the understanding of the present invention, the present invention is done below in conjunction with drawings and examples and further retouched in detail
State, the embodiment is only used for explaining the present invention, and protection scope of the present invention is not formed and limited.
Embodiment：The method that the place name address date based on multi-source data is integrated, comprises the following steps：
(1) data are collected, choose data model and organizational structure design：By the place name of separate sources, address and emerging
Interesting point data structure, attribute field, georeferencing are integrated into a sets of data, choose data model, design organization structure；
(2) data prediction：The place name address date form of multi-source is standardized, is unified for manageable
Form；
(3) duplicate data inquiry, rejecting：The place name address date of multi-source is carried out repeating point inquiry, repeats the inquiry of point
Mainly there are 2 kinds of methods：Method one is to combine locus, and separate sources data are attached according to name field, find out name
Claim identical point, reference is screened after being exported；Method two is to utilize FME softwares, builds data fuzzy query mould
Block, key element is matched one by one with its all key element in the range of matching distance, take matching degree highest key element, and will
It matches angle value and write on the title for matching key element inside its attribute；The repetition inquired point is rejected；
(4) data fusion：Multi-source data is cleaned, matched and integrated；
(5) data are audited：Batch examination ＆ verification is carried out to fused data using GIS software, using automatic examination ＆ verification and people
The mode that work examination ＆ verification combines；Stored if examination ＆ verification is qualified to database, build outcome data, if examination ＆ verification is unqualified, returned data
Fusion steps re-start data fusion, until examination ＆ verification is qualified；
The step of data fusion in the step (4), includes：
1) data prediction：The data of extended formatting are converted into shape formatted datas, it is stand-by；
2) geographic element feature extraction：According to《Cadastral Management Information System graph data standard》Data point are carried out by feature
Class, then to without character code data, manually carrying out interpretation, carrying out data classification；
3) data encoding is changed：According to《Cadastral Management Information System graph data standard》With《Fundamental Geographic Information System key element
Sorting code number》Corresponding relation carries out code conversion；
4) data edition：With extracting tape symbol characteristic, wire, the feature skeleton line of area feature and point-like respectively
The characteristic point of thing；
5) topology editor：Integrate the topological relation between key element, construction face key element and grid；
6) attributes match and assignment：Attribute information is matched and assigned to each key element；
7) Coordinate Conversion：It is not WGS84 vector data progress Coordinate Conversion for coordinate；
Data model in the step (1) is divided into base attribute and extended attribute according to the model definition of geographical entity；
The base attribute includes element name, address, type codes, longitude, latitude, Sort Code and pel identification code；According to data
Requirement, set the base attributes of data；The matching in the method two of the inquiry of repetition point in the step (3)
Distance can be configured according to actual conditions, be compared for place name, park, industrial park, this kind of scope that refers in residential quarters
Big point, matching distance can be set a little louder；And for POI types, matching distance can be arranged on 50m~100m scopes it
Between；The place name address date source of collection data in the step (1) includes multidisciplinary place name address date, interest point
According to third party's data, wherein it is multidisciplinary including statistics bureau, public security bureau, Department of Qulity Supervision, Local Tax Bureau, Department of Civil Affairs, live to found the bureau, industrial and commercial
Office, housing bureau and Land and Resources Bureau；Reference in the step (3) includes various resolution image figures, document information, 1:10000
With 1：50000 digital line draws map (DLG) and atlas and network data；Topology editor in the step 5) specifically includes line spy
Seek peace region feature.
Using above-mentioned technical proposal, by user by multi-source place name address date input system software, by system software pair
Multi-source data forms the unification of standard by flows such as data prediction, the rejecting of emphasis data, data fusion, data examination ＆ verifications
Authority data, establish the place name address date of standard.Wherein, the place name of separate sources, address and interest point data structure, category
Property field, georeferencing it is all inconsistent, be integrated into a sets of data, it is necessary to have rational data model and identical
Institutional framework, to realize the unified management of data.Herein with reference to the model definition of related geographical entity, data model is divided into base
This attribute and extended attribute；Base attribute is shared field, and extended attribute sets different attributes according to different entities type
Content, stored with data tableau format, the two is identified and linked by unique pel code.The data model both meets to unite
One management requires that and can enough retains the particular attribute of different pieces of information；1) base attribute：According to the requirement of data, it is set
Base attribute, including element name, address, type codes, longitude, latitude, Sort Code, pel identification code etc.；2) extended attribute：
Place name, address and point of interest have various features attribute, can not be described with unified data structure, and extended attribute item can be with
Spread is carried out according to various data types, ensures the integrality and scalability of data message；In application according to
Classification adds various extended attribute items, and fixed again as needed during actual job, the attribute as road famous cake needs to extend can
So that including road number, category of roads, road width etc., Water system scale, affiliated basin can be included in water system point extended attribute
Deng professional attributes.Address library data relative priority is more single, can suitably be extended according to being actually needed；What point of interest was related to
Quantity is more, and classification is complicated, the peculiar abundant information of every kind of classification, therefore the extended attribute of point of interest can be according to three different fractions
Class category feature is extended, but will typically be included telephone number, network address, postcode, data acquisition time, acquisition units, be adopted
Collect the information such as people；In addition, the inquiry for repeating point mainly has 2 kinds of methods；Method one is to combine locus, by separate sources data
It is attached according to name field, finds out title identical point, reference is screened after being exported.The deficiency of this method
It is that can only find out the completely the same point of title, the different repetition point of many titles can not be found out, so needing to enter data
Row fuzzy query.Method two is to utilize FME softwares, data fuzzy query module is built, by a certain key element and its certain distance model
All key elements in enclosing are matched one by one, take matching degree highest key element, and are matched angle value and match the name of key element
Title is write on inside its attribute.Wherein, the distance of matching can be configured according to actual conditions, for place name, park, industry park
Area, residential quarters etc. refer to the bigger point of scope, and matching distance can be set somewhat a little louder, such as 500m~1000m or so；And
For in general POI types, matching distance can be arranged between 50m~100m scopes., can with reference to matching degree and matching title
Whether be identical element between quick interpretation key element, further according to the references such as image and data source Up-to-date state itself, precision,
The factors such as attribute integrality, correctness, selection attribute information is complete, positional precision is high, the relatively good point of Up-to-date state, so as to reject
Repeat point.This method carries out data duplicate checking by fuzzy matching, while can find the completely the same repetition point of title out, has
There are higher practicality and correctness.
The place name address date integration system based on multi-source data, it is characterised in that should the place name based on multi-source data
Address date integration system includes data preprocessing module, data cleansing module, data fusion module, data-auditing module sum
According to model module；The data preprocessing module, data-auditing module, data fusion module, data cleansing module and data mould
Pattern block is electrically connected with the control module and is in bidirectional data transfers；The data model module, which is used to establish, to be standardized
Place name address data model；The data preprocessing module is used to the place name address date form of multi-source being standardized place
Reason, is unified for manageable form；The data cleansing module is looked into for carrying out repetition point to the place name address date of multi-source
Ask and point will be repeated and reject；The data fusion module is used to multi-source data is matched and integrated；The data audit mould
Block is used to carry out batch examination ＆ verification to fused data using GIS software, the side combined using automatic examination ＆ verification and manual examination and verification
Formula.The software of multi-source data place name address date system is developed using JAVA language, and wherein data model module is responsible for establishing mark
The place name address data model of standardization；Data preprocessing module is responsible for the place name address date of different-format carrying out unified turn
Change, data cleansing module is responsible for that pretreated data are carried out according to the data model of setting to repeat point data rejecting；Number
It is that the data after cleaning are subjected to Data Integration according to certain logical construction according to Fusion Module；Data-auditing module is responsible for melting
Data after conjunction carry out quality examination work.
For the ordinary skill in the art, simply the present invention is exemplarily described for specific embodiment,
Obviously present invention specific implementation is not subject to the restrictions described above, and is entered as long as employing the inventive concept and technical scheme of the present invention
The improvement of capable various unsubstantialities, or it is not improved by the present invention design and technical scheme directly apply to other occasions
, within protection scope of the present invention.
Claims (10)
1. a kind of method that place name address date based on multi-source data is integrated, it is characterised in that comprise the following steps：
(1) data are collected, choose data model and organizational structure design：By the place name of separate sources, address and point of interest
Data structure, attribute field, georeferencing are integrated into a sets of data, choose data model, design organization structure；
(2) data prediction：The place name address date form of multi-source is standardized, is unified for manageable lattice
Formula；
(3) duplicate data inquiry, rejecting：The place name address date of multi-source is carried out repeating point inquiry, by the repetition inquired point
Reject；
(4) data fusion：Multi-source data is matched and integrated；
(5) data are audited：Batch examination ＆ verification is carried out to fused data using GIS software, examined using automatic examination ＆ verification and manually
The mode that core combines；Stored if examination ＆ verification is qualified to database, build outcome data, if examination ＆ verification is unqualified, returned data fusion
Step re-starts data fusion, until examination ＆ verification is qualified.
2. the method that the place name address date according to claim 1 based on multi-source data is integrated, it is characterised in that described
The step of data fusion in step (4), includes：
1) data prediction：The data of extended formatting are converted into shape formatted datas, it is stand-by；
2) geographic element feature extraction：According to《Cadastral Management Information System graph data standard》Data classification is carried out by feature,
Again to without character code data, manually carrying out interpretation, carrying out data classification；
3) data encoding is changed：According to《Cadastral Management Information System graph data standard》With《Fundamental Geographic Information System element category
Coding》Corresponding relation carries out code conversion；
4) data edition：Tape symbol characteristic, wire, the feature skeleton line of area feature and punctual geo-objects are extracted respectively
Characteristic point；
5) topology editor：Integrate the topological relation between key element, construction face key element and grid；
6) attributes match and assignment：Attribute information is matched and assigned to each key element；
7) Coordinate Conversion：It is not WGS84 vector data progress Coordinate Conversion for coordinate.
3. the method that the place name address date according to claim 2 based on multi-source data is integrated, it is characterised in that described
Data model in step (1) is divided into base attribute and extended attribute according to the model definition of geographical entity.
4. the method that the place name address date according to claim 3 based on multi-source data is integrated, it is characterised in that described
The inquiry that step (3) repeats point has 2 kinds of methods：Method one is to combine locus, by separate sources data according to name field
It is attached, finds out title identical point, reference is screened after being exported；Method two is to utilize FME softwares, structure
Data fuzzy query module, key element is matched one by one with its all key element in the range of matching distance, takes matching degree
Highest key element, and matched angle value and write on the title for matching key element inside its attribute.
5. the method that the place name address date according to claim 4 based on multi-source data is integrated, it is characterised in that described
The matching distance in the method two of the inquiry of repetition point in step (3) can be configured according to actual conditions, for
The bigger point of place name, park, industrial park, this kind of reference scope in residential quarters, matching distance can be set a little louder；And for
POI types, matching distance can be arranged between 50m~100m scopes.
6. the method that the place name address date according to claim 4 based on multi-source data is integrated, it is characterised in that described
The place name address date source of collection data in step (1) includes multidisciplinary place name address date, interest point data and the
Tripartite's data, wherein it is multidisciplinary including statistics bureau, public security bureau, Department of Qulity Supervision, Local Tax Bureau, Department of Civil Affairs, live found the bureau, industrial and commercial bureau, real estate management
Office and Land and Resources Bureau.
7. the method that the place name address date according to claim 4 based on multi-source data is integrated, it is characterised in that described
Data model in step (1) is divided into base attribute and extended attribute according to the model definition of geographical entity.
8. the method that the place name address date according to claim 4 based on multi-source data is integrated, it is characterised in that described
Topology editor in step 5) specifically includes line feature and region feature.
9. the method that the place name address date according to claim 4 based on multi-source data is integrated, it is characterised in that described
Reference in step (3) includes various resolution image figures, document information, 1:10000 and 1：50000 digital line draws map
And atlas and network data (DLG).
10. a kind of place name address date integration system based on multi-source data, it is characterised in that should the place name based on multi-source data
Address date integration system includes data preprocessing module, data cleansing module, data fusion module, data-auditing module sum
According to model module；The data preprocessing module, data-auditing module, data fusion module, data cleansing module and data mould
Pattern block is electrically connected with the control module and is in bidirectional data transfers；The data model module, which is used to establish, to be standardized
Place name address data model；The data preprocessing module is used to the place name address date form of multi-source being standardized place
Reason, is unified for manageable form；The data cleansing module is looked into for carrying out repetition point to the place name address date of multi-source
Ask and point will be repeated and reject；The data fusion module is used to multi-source data is matched and integrated；The data audit mould
Block is used to carry out batch examination ＆ verification to fused data using GIS software, the side combined using automatic examination ＆ verification and manual examination and verification
Formula.
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