CN103150398A - National fundamental geographic information data-based incremental map updating method - Google Patents

Abstract

The invention provides an incremental map updating method based on national basic geographic information data, constructs a mapping model based on "geographical data-cartographic data-map data", and combines incremental geographic data on the basis of basic state data to realize Incremental map updates. The main steps include: importing incremental geographic data based on the base state data; performing semantic matching on the incremental geographic data to extract the incremental information of the incremental geographic data; Incremental cartography conversion, generating incremental cartographic data; combined with base state cartography knowledge, incremental symbolization and annotation, incremental graphics and annotation conflict detection and processing for incremental cartographic data; based on incremental geographic data, base state geography is updated data to complete incremental map updates.

Description

An incremental map update method based on national basic geographic information data

technical field

The invention relates to the field of electronic map and digital map drawing, in particular to an incremental map update method based on national basic geographic information data.

Background technique

Compared with the batch update of topographic database, incremental information update only provides users with incremental information instead of the entire new data set. In recent years, it has gradually become a frontier research and application topic in international GIS academic circles and application departments. The current research on incremental update generally focuses on the classification, expression, extraction, release and integration of incremental update information. For example, "Extraction Method of Incremental Information of Geospatial Data" (Application No.: 200910062280.8) describes the method of incremental extraction of Geospatial Data; "Method of Publishing Incremental Information of Geospatial Data" (Application No. It is the extraction method of geospatial data; "Navigation Device Map Data Incremental Update Method (Application No.: 200910304398.7") discloses a navigation device map data incremental update method, which is to calculate the route according to the navigation device terminal, while waiting for The server returns differential update data; "A Map Update Method, Navigation Terminal and System for Navigation Terminals" (Application No.: 200910235281.8 ") also provides a map update method for navigation terminals; "Combining incremental update with existing The Application Programming Interface (API) of Map Database Fusion Navigation Application (Application No.: 201080054948.5") describes the navigation map data download update mechanism and system serving the vehicle navigation system.

Incremental cartographic update refers to the map representation of the incremental update information of geographic data and the processing of the relationship with the base state graphics on the basis of the existing map representation results (base state data) to obtain the current map representation results. At present, there are few studies on incremental update mapping. Under the existing map drawing technology, even if there is incremental update data, it is still necessary to adopt all re-mapping methods to obtain the latest current results.

Contents of the invention

In order to solve the above problems, the present invention proposes an incremental map update method based on national basic geographic information data, so that any incremental mapping problem based on national basic geographic information data can be incrementally mapped using the scheme proposed by the present invention .

The technical solution of the present invention provides an incremental map update method based on national basic geographic information data, comprising the following steps,

Step 1. On the basis of the base state data, import incremental geographical data; the base state data includes base state geographic data, base state cartographic data, base state map data and base state cartographic knowledge;

Step 2, perform semantic matching on the incremental geographic data, and extract corresponding incremental information of the incremental geographic data;

Step 3. Combining incremental information and base state mapping knowledge, performing incremental mapping conversion based on incremental geographic data to generate incremental mapping data;

Step 4. Combining the ground state mapping knowledge, incremental symbolization and incremental graphics conflict detection and processing are performed based on the incremental mapping data;

Step 5. Combining with the ground state mapping knowledge, perform incremental annotation and incremental annotation conflict detection and processing based on the incremental mapping data;

Step 6. Based on the incremental geographic data, the base state geographic data is updated to complete the incremental map update.

Also, in step 3, cartographic transformation is only performed on the incremental geographic data and the associated ground state geographic data.

Moreover, in step 4, symbolization, graphics conflict detection and processing are only performed on the incremental mapping data and the associated base state mapping data.

Moreover, in step 5, annotation and annotation conflict detection and processing are only performed on the incremental mapping data and the associated base state mapping data.

Moreover, in step 3, step 4 and step 5, the base state mapping knowledge is the expert knowledge of graphics and annotation conflict detection and processing generated in the production of base state data, and is stored in a file in xml format.

Moreover, the nodes in the base state mapping knowledge xml file are organized as follows,

<BaseCartoKnowledge>

<DateTime/>

<Procuder/>

<Institution/>

<Scale/>

<Layer>

<KnowledgeID/>

<LayerID>

<LayerName/>

<FeatureID/>

<RelationLayerID/>

<RelationFeatureIDs/>

<Extent/>

<Type/>

<Content/>

</Layer>

</BaseCartoKnowledge>

in,

The <BaseCartoKnowledge> node is the root node;

The <DateTime/> node records the last update time of the ground state mapping knowledge;

The <Procuder/> node records the base state mapping knowledge producer;

The <Institution/> node records the base state mapping knowledge production institution;

<Scale/> node records the base state mapping knowledge scale;

The <Layer>, </Layer> nodes represent the ground-state mapping knowledge of a layer;

The <KnowledgeID/> node records the unique identification code of the base state mapping knowledge;

The <LayerID/> node records the unique identification code of the layer that generates the ground state mapping knowledge;

The <LayerName/> node records the layer name;

The <FeatureID/> node records the unique identification code of the feature that generates the ground state mapping knowledge;

The <RelationLayerID/> node records the unique identification code of the layer related to the FeatureID element;

The <RelationFeatureIDs/> node records the unique identification codes of all features related to the FeatureID element;

The <Extent/> node records the scope of generating ground state mapping knowledge;

<Type/> node records the type of ground state mapping knowledge;

The <Content/> node records the content of the ground state mapping knowledge.

Moreover, the types of <Type/> node records in the xml format file of ground state mapping knowledge are divided into two types: element operation and annotation operation, and element operation records four types of spatial conflict adjustment operations: translation, rotation, node movement, and symbol update. Note Annotation operation records three types of annotation conflict adjustment strategies: annotation style update, annotation position change and annotation text content update.

The invention has the advantage that on the basis of the basic state data, only the incremental data and the associated basic state data are processed for local drawing, the drawing is fast and the effect is obvious, and the drawing demand in actual production is met.

Description of drawings

Fig. 1 is a system architecture diagram of an embodiment of the present invention.

Fig. 2 is a schematic diagram of the implementation flow of ordinary mapping and incremental map updating in the embodiment of the present invention.

Fig. 3 is a schematic diagram before and after adjustment of spatial attachment conflicts in the ground state mapping knowledge of the present invention.

Fig. 4 is a schematic diagram before and after adjustment of space gland conflict in the ground state mapping knowledge of the present invention.

Fig. 5 is a schematic diagram before and after the automatic adjustment of the annotation position in the base state mapping knowledge of the present invention.

Fig. 6 is a schematic diagram of the detailed flow chart of the incremental map update of the present invention.

FIG. 7 is a schematic diagram of a linear element incremental map update process according to an embodiment of the present invention.

Fig. 8 is a schematic diagram of the incremental map update of the point element "Tingzu Town" GB classification code and annotation field change category in the embodiment of the present invention.

Fig. 9 is a schematic diagram of the incremental map update of the point element "Liuzhi County" in the embodiment of the present invention.

Figure 10 is a schematic diagram of the incremental map update of the point element "District Zhushan Tea Factory" deleted in the embodiment of the present invention.

Fig. 11 is a schematic diagram of the incremental map update of the linear element "Chenmiao River" geometric shape and annotation field changes in the embodiment of the present invention.

Fig. 12 is a principle diagram of incremental map update according to an embodiment of the present invention.

Specific implementation method

In order to make it easier for those skilled in the art to understand and implement the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

The system architecture operated by the embodiment of the present invention adopts the existing technology, as shown in Figure 1, it includes three parts: database, drawing system and end user, and this structure utilizes the existing computer database technology. In the embodiment, the database is an Oracle database. According to the needs of computer map drawing, the database includes four types: geographic database, cartographic database, map database and map expert knowledge base. The geographic database stores geographic data, that is, the original DLG (Digital Line Graphic) digital line drawing data and its metadata, which is the most basic data for computer map drawing; the cartographic database stores cartographic data, which is specially used for mapping Data is the result of modifying geographic data such as feature extraction, classification, and graphic merging in accordance with cartographic rules. The map database stores map data, that is, data that can be directly used for map publishing, including cartographic expression results, annotations, and extra-map decorations. The map expert knowledge base stores cartographic expert knowledge, that is, the collection of cartographic knowledge, which can include map symbol library, cartography rules, symbol comparison rules, symbol result drawing order, annotation expert knowledge base, conflict rules, conflict handling rules, etc. The basic data flow of the computer map drawing system in the prior art is shown in FIG. 2 . First, input the data, and convert the geographical data in the spatial database such as shapefile and E00 format into data preprocessing operations such as data compression, data connection, and river structuring; secondly, under the constraints of the map expert knowledge base, map the mapping data Carry out operations such as map symbolization, map annotation automatic configuration, and off-map finishing to form map data; finally, the map data can be further imported into vector editing tools such as CorelDraw and Illustrator for editing, and finally the completed electronic map data will be archived or printed output.

As shown in FIG. 2 , it is a schematic diagram of an implementation flow chart of mapping and incremental map update in an embodiment of the present invention. Circular nodes represent the key processes in map making, black filled nodes represent the start or end nodes of map making; solid line one-way arrows represent the direction of the map making process, dotted line one-way arrows represent the direction of incremental update map making process; missing corner rectangles Indicates the cartographic knowledge base in the ground state data, and the dotted double arrow indicates the application direction of the ground state cartographic knowledge. In the ordinary drawing process (the process indicated by the solid line one-way arrow), in the process of symbolization, graphic conflict detection and processing, and annotation conflict detection and processing, the mapping knowledge is written to the base state mapping knowledge base (xml file); In the quantitative update mapping process, the base state mapping knowledge in the base state mapping knowledge base (xml file) is used to guide the preprocessing, symbolization, graphic conflict detection and processing, annotation, annotation conflict detection and processing of the loaded incremental data process.

As shown in Figure 12, an incremental map update method based on national basic geographic information data proposed by the embodiment includes the following steps,

Step 1. Import incremental geographic data based on the base state data; the base state data includes base state geographic data, base state cartographic data, base state map data, and base state mapping knowledge; Import incremental geographic data directly, or import incremental geographic data after symbolizing the ground state geographic data;

Step 2, perform semantic matching on the incremental geographic data, and extract corresponding incremental information of the incremental geographic data;

Step 3. Combining incremental information and base state mapping knowledge, performing incremental mapping conversion based on incremental geographic data to generate incremental mapping data;

Step 4. Combining the ground state mapping knowledge, incremental symbolization and incremental graphics conflict detection and processing are performed based on the incremental mapping data;

Step 5. Combining with the ground state mapping knowledge, perform incremental annotation and incremental annotation conflict detection and processing based on the incremental mapping data;

Step 6. Based on the incremental geographic data, the base state geographic data is updated to obtain the current status data, and the incremental map update is completed.

In order to improve efficiency, the present invention further proposes: in step 3, cartographic conversion is only performed on the incremental geographic data and its associated ground-state geographic data, rather than all the base-state geographic data.

In order to improve efficiency, the present invention further proposes: in step 4, only the incremental mapping data and its associated ground state mapping data are symbolized and graphic conflict detection and processing are performed, rather than all the ground state mapping data being symbolized and graphically processed. Conflict detection and handling.

In order to improve efficiency, the present invention further proposes: in step 5, only the incremental mapping data and its associated base state mapping data are annotated and annotation conflict detection and processing are not performed on all base state mapping data. Annotation conflict detection and handling.

In Step 3, Step 4 and Step 5, the ground-state mapping knowledge is the expert knowledge of conflict detection and processing between graphics and annotations generated in the production of ground-state data.

During the specific implementation, the base state mapping knowledge can be stored in xml file format, and the suggested format is as follows for the convenience of implementation reference:

<BaseCartoKnowledge> <--root node-->

<DateTime/> <--The last update time of base state mapping knowledge-->

<Procuder/> <--Ground state mapping knowledge producer-->

<Institution/> <--Basic Mapping Knowledge Production Institution-->

<Scale/> <--Base-state mapping knowledge scale -->

<Layer>

<KnowledgeID/> <--The unique identification code of the base state mapping knowledge-->

<LayerID/> <--The unique identification code of the layer that generates the ground-state mapping knowledge-->

<LayerName/> <--layer name-->

<FeatureID/> <--The unique identification code of the feature that generates the ground-state mapping knowledge-->

<RelationLayerID/> <--The unique identification code of the layer related to the FeatureID element-->

<RelationFeatureIDs/> <--The unique identification code of all features related to the FeatureID element-->

<Extent/> <--The scope of generating ground-state mapping knowledge-->

<Type/> <--Type of base state mapping knowledge-->

<Content/> <--Content of ground-state mapping knowledge-->

</Layer>

</BaseCartoKnowledge>

Among them, the <Type/> node is used to record the type of base state mapping knowledge, that is, the type of mapping operation in the base state data production process, which is divided into two types: element operation and annotation operation. Feature operation records: four types of spatial conflict adjustment operations: translation, rotation, node movement, and symbol update; annotation operation records: three types of annotation conflict adjustment strategies: annotation style update, annotation position change, and annotation text content update. The <Layer>, </Layer> nodes indicate to record the ground state mapping knowledge of a layer. Generally, a base state mapping knowledge xml file can have multiple <Layer> nodes.

As shown in Figure 3, it is a schematic diagram before and after the adjustment of space attachment conflict in the ground state mapping knowledge of the present invention; as shown in Figure 4, it is a schematic diagram before and after adjustment of space gland conflict in the ground state mapping knowledge of the present invention; as shown in Figure 5, it is the schematic diagram of the present invention Schematic diagrams before and after the automatic adjustment of the annotation position in the base state mapping knowledge. According to the requirements of GBT/T 20257.3-2007 "National Basic Scale Map Schema Part 3: 1:25 000 1:50 000 1:100 000 Topographic Map Schema", as shown in the right picture in Figure 3, the symbol of the railway station After transformation, it must be arranged along the railway line; when the surface distance between two linear elements is less than 0.2mm and there is a gland conflict, the low-level linear elements must be shifted. The left picture in Figure 4 shows the county road and the single line Gland conflict occurs in the standard gauge, and the grade of the county road is lower than that of the single-track standard rail, so the county road needs to be shifted. The right picture in Figure 4 shows the automatic shift of the county road; the notes cannot To cover the important features, the annotation of the elevation point in the left picture in Figure 5 covers the county road and the machine farming road, and the right image in Figure 5 is the effect after the automatic shift processing of the annotation of the elevation point. For the attachment mapping knowledge shown in Figure 3, the capping mapping knowledge shown in Figure 4, and the annotation mapping knowledge shown in Figure 5, the base state mapping knowledge xml is stored as follows. Among them, the base state mapping knowledge with KnowledgeID=1 is the attachment conflict knowledge between the railway station and the railway in the base state mapping knowledge shown in Figure 3; the base state mapping knowledge with KnowledgeID=2 is the gland conflict between the county road and the single-track standard rail in the base state mapping knowledge Knowledge; the ground-state mapping knowledge with KnowledgeID=3 is the knowledge of automatic adjustment of annotation positions in the ground-state mapping knowledge.

<BaseCartoKnowledge>

<DateTime>2013-01-30 11:37:06</DateTime>

<Procuder>Jiatu Lab</Procuder>

<Institution>Wuhan University</Institution>

<Scale>1:50 000</Scale>

<Layer>

<KnowledgeID>1</KnowledgeID>

<LayerID>2</LayerID>

<LayerName>NAMPT</LayerName>

<FeatureID>92</FeatureID>

<RelationLayerID>RAILK2</RelationLayerID>

<RelationFeatureIDs>36</RelationFeatureIDs>

<Extent>(339759.02,339825.33;3425875.9134259804.04)</Extent>

<Type>RotateGeometry</Type>

<Content>AdhereRoate: 37°</Content>

</Layer>

<Layer>

<KnowledgeID>2</KnowledgeID>

<LayerID>16</LayerID>

<LayerName>ROALK</LayerName>

<FeatureID>332</FeatureID>

<RelationLayerID>RAILK2</RelationLayerID>

<RelationFeatureIDs>10</RelationFeatureIDs>

<Extent>(345522.83,345908.9;3431796.353432123.02</Extent>

<Type>ModifyGeoemetry</Type>

     <Content>ModifyGeoemetry:345622.025090055,3432100.29057396,345749.025344055,3431731.19608577,345880.542708394,3431538.26931881,345906.271580127,3431472.31690442,345997.272928009,3431231.3150719;345666.098942959,3432118.16408816,345791.662820208,3431766.10066395,345880.542708394,3431538.26931881,345906.271580127,3431472.31690442,345997.272928009,3431231.3150719</Content>

</Layer>

<Layer>

<KnowledgeID>3</KnowledgeID>

<LayerID>9</LayerID>

<LayerName>TERLK</LayerName>

<FeatureID>363</FeatureID>

<RelationLayerID>ROALK</RelationLayerID>

<RelationFeatureIDs>492;569</RelationFeatureIDs>

<Extent>(335219.81,335355.28;340312.93,340423.92)</Extent>

<Type>MoveAnnotation</Type>

<Content>MoveAnnotation:335314.05,34030443.06;335324.6,3430319.37</Content>

</Layer>

</BaseCartoKnowledge>

If there is incremental information for the railway station shown in Figure 3, after the incremental symbolization of the railway station, it is necessary to follow the mapping knowledge of KnowledgeID=1 in the base state mapping knowledge xml file, and at the same time, according to the direction of the railway, the railway station Performs incremental rotation processing.

If there is incremental information on the county road shown in Figure 4, after the incremental symbolization of the county road, it is necessary to follow the mapping knowledge of KnowledgeID=2 in the base state mapping knowledge xml file, and at the same time, according to the direction of the single-line standard rail, County roads are incrementally shifted.

If there is incremental information in the annotation shown in Figure 5, after incrementally annotating the annotation, it is necessary to follow the mapping knowledge in the xml file with KnowledgeID=3 in the base state mapping knowledge, and at the same time combine the surrounding elements of the annotation to carry out The incremental shift of the annotation.

As shown in Figure 6, the detailed process of incremental map update in the present invention is as follows:

Step ①, first load the ground state data and the corresponding ground state mapping knowledge.

Step ②, load incremental information (including incremental geographic data and incremental cartographic knowledge), perform semantic recognition on incremental information, and extract incremental operations. Increment includes both addition and deletion. Incremental geographic data is generally provided in shp format, and incremental cartographic knowledge is provided in xml format corresponding to the base state cartographic knowledge.

In step ③, if the incremental operation extracted in step ② is not incremental deletion, go to step ④. Otherwise, look for the element F related to the incrementally deleted element in the ground state data, if there is F , then return the element F associated with the incremental deletion according to the ground state mapping knowledge; if there is no F , directly in the ground state data delete.

Step ④, if the incremental operation extracted in step ② is not an incremental modification, go to step ⑤. Otherwise, first judge whether the category of incremental modification is attribute modification, if it is attribute modification, go to step ⑥; if it is not attribute modification, delete the elements related to incremental modification in the base state data, and go to step ⑦.

Step ⑤, check whether the modification in the attribute modification is a classification field, if the attribute value of the classification field changes, go to step ⑥, otherwise go to step 8;

In step ⑥, perform incremental symbolization on the incrementally added elements, and proceed to step ⑧;

Step ⑦, if the non-categorical field changes in the attribute modification, directly modify the attribute of the ground state data, and enter step ⑨;

Step 8, in the ground state data, search for the elements related to the incremental symbolization, if they exist, move the elements related to the incremental symbolization incrementally according to the ground state mapping knowledge, otherwise go to step ⑨;

Step 9: Carry out incremental detection processing on the whole layer to form current data.

For incremental mapping, the incremental mapping process of linear elements and the situations to be considered are the most and most complicated. Here, the incremental mapping process of linear elements is taken as an example to illustrate the incremental mapping process. As shown in Figure 7, the incremental map update process for linear features is:

Step ①, based on the ground state data, first import the incremental geographic data into its corresponding original layer for semantic matching, and traverse each line incremental element F to extract different incremental categories.

Step ②, judging whether the change category in the incremental information is an attribute change,

If the change category in the incremental information is an attribute change, first judge whether the value of the classification field has changed; if the value of the classification field has changed, perform operation A——find the map data related to the element F in the ground state data set MD , then find the cartographic data set CD related to MD , and finally find all the map data sets MD' associated with the CD cartographic data set, delete MD and MD' , and re-cartographically transform the cartographic data set CD ( Including drawing data connection, data compression, etc.), symbolize again; after operation A, enter step ⑩;

If the value of the classification field does not change, the attribute change in the incremental information means that the annotation field has changed. At this time, only the incremental element needs to be re-annotated;

If the change category in the incremental information is not an attribute change, go to step ③;

Step ③, determine whether the change category in the incremental information is deformation or displacement, splitting, merging, extending, shortening, if so, it can be split into a combination of deformation, shifting, adding and deleting operations, that is, enter after performing operation A Step ⑩;

Otherwise, go to step ④;

Step ④, judge whether the change category in the incremental information is an increase (referring to the increase of linear elements), and if so, proceed to operation B - find the incremental elements within a certain threshold range (for example, the threshold range of linear roads is 2mm short from the beginning to the end) Radius circle surface) of all cartographic data sets CD , then find the map data set MD associated with all cartographic data sets CD , delete MD , perform cartographic conversion on the cartographic data set CD again, and re-symbolize CD ; operation B Then enter step ⑩;

If the change category in the incremental information is not increase, otherwise go to step ⑤;

Step ⑤, judge whether the change category in the incremental information is deletion, if yes, the processing method is the same as when the incremental information is an increase, that is, go to step ⑩ after performing operation B; otherwise, go to step ⑥;

Step ⑥, determine whether the change category in the incremental information is the increase of road attachments (referring to the addition of point-like elements such as milestones, gas stations, toll stations, railway stations), and if so, proceed to operation C——incremental mapping when implementing incremental mapping The added appendages are re-symbolized and re-annotated; after operation C, go to step ⑩; otherwise, go to step ⑦;

Step ⑦, judging whether the change category in the incremental information is appendage deletion, if so, directly delete the graphic symbol and annotation of the incremental appendage to end the process; otherwise, go to step ⑧;

Step 8. Determine whether the change category in the incremental information is the deformation or displacement of the appendage. If yes, the processing flow of the incremental mapping is the same as that of the appendage increase, that is, proceed to step 10 after performing operation C; otherwise, proceed to step 6;

Step ⑨, judge whether the change category in the incremental information is a change in the attribute of the appendage, if so, first judge whether the value of the classification field has changed, if there is no change, directly re-note the element to enter step ⑩, If the value of the classification field changes, proceed to step ⑩ after performing operation C;

In step 10, after processing the above incremental categories, according to the base state mapping knowledge, perform incremental conflict detection processing on the graphics and annotations involved, and complete the incremental mapping.

As shown in Figure 8, it is a schematic diagram before and after the incremental map update of the point feature "Tingzu Town" at a scale of 1:250 000. The GB classification code and name of "Tingzu Town" have also changed. As shown in Figure 9, it is a schematic diagram before and after the incremental map update of the point element "Liuzhi County" at a scale of 1:250 000, and "Liuzhi County" is a new element. As shown in Figure 10, it is a schematic diagram before and after the incremental map update of the point element "Zhushan Tea Factory" at a scale of 1:250 000. After the update, "Zhushan Tea Factory" was deleted. As shown in Figure 11, it is a schematic diagram before and after the incremental map update of the linear element "Chenmiao River" at a scale of 1:250 000. The geometry of "Chenmiao River" has changed, and the name has also changed. And because the geometric shape of "Chenmiaohe" has changed, when performing incremental annotation conflict detection and processing, the annotation position of "Shangma Hall" has also been incrementally adjusted.

The above descriptions are only used to illustrate the specific implementation cases of the present invention, and are not intended to limit the scope of the present invention. For example, all those skilled in the art have accomplished everything without departing from the spirit and principles indicated by the present invention. Effective changes or modifications should still be covered by the scope of the claims of the present invention.

Claims (7)

1. An incremental map updating method based on country basic geographic information data is characterized in that: comprises the following steps of (a) carrying out,

step 1, importing incremental geographic data on the basis of ground state data; the ground state data comprises ground state geographic data, ground state cartographic data, ground state map data and ground state cartographic knowledge;

step 2, semantic matching is carried out on the incremental geographic data, and corresponding incremental information of the incremental geographic data is extracted;

step 3, combining the incremental information and the basic state drawing knowledge, and performing incremental drawing conversion based on the incremental geographic data to generate incremental drawing data;

step 4, combining basic state drawing knowledge, and performing incremental symbolization and incremental graph conflict detection and processing based on incremental drawing data;

step 5, combining basic state drawing knowledge, and detecting and processing incremental annotation and incremental annotation conflict based on incremental drawing data;

and 6, updating the basic state geographic data based on the incremental geographic data to finish the updating of the incremental map.

2. The incremental map updating method based on country-based geographic information data of claim 1, wherein: in step 3, cartographic conversion is performed only on the incremental geographic data and the associated ground state geographic data.

3. The incremental map updating method based on country-based geographic information data of claim 1, wherein: in step 4, only incremental cartographic data and associated ground state cartographic data are tokenized and pattern conflict detected and processed.

4. The incremental map updating method based on country-based geographic information data of claim 1, wherein: in step 5, annotation and annotation conflict detection and processing is performed only on the incremental mapping data and the associated base state mapping data.

5. The incremental map updating method based on country-based geographic information data of claim 1, 2, 3 or 4, wherein: in step 3, step 4 and step 5, the ground state drawing knowledge is the graphic and annotation conflict detection and processing expert knowledge generated in the production of the ground state data, and is stored in a file in xml format.

6. The incremental map updating method based on country-based geographic information data of claim 5, wherein: the nodes within the ground state cartography knowledge xml file are organized as follows,

<BaseCartoKnowledge>

<DateTime/>

<Procuder/>

<Institution/>

<Scale/>

<Layer>

<KnowledgeID/>

<LayerID>

<LayerName/>

<FeatureID/>

<RelationLayerID/>

<RelationFeatureIDs/>

<Extent/>

<Type/>

<Content/>

</Layer>

</BaseCartoKnowledge>

wherein,

the < BaseChartoKnowledge > node is a root node;

recording the last updating time of the basic state drawing knowledge by the < DateTime/> node;

< provider/> node records the basic state drawing knowledge producer;

recording a basic state drawing knowledge production mechanism by the < organization/> node;

recording a base state drawing knowledge Scale by using < Scale/> nodes;

the < Layer > and the < Layer > nodes represent and record the ground state drawing knowledge of one Layer;

recording a unique identification code of basic state drawing knowledge by a < KnowledGeID/> node;

recording the layer unique identification code generating the basic state drawing knowledge by the < LayerID/> node;

recording the layer name of the < LayerName/> node;

recording unique identification codes of elements generating basic state drawing knowledge by < FeatureID/> nodes;

recording a unique identification code of a layer related to a FeatureID element by a < relationship layer ID/> node;

recording unique identification codes of all elements related to FeatureID elements by < relationship FeatureIDs/> nodes;

< Extent/> node records the range of generating the ground state drawing knowledge;

recording the Type of the basic state drawing knowledge by the < Type/> node;

the < Content/> node records the Content of the base state mapping knowledge.

7. The incremental map updating method based on country-based geographic information data of claim 6, wherein: the Type of < Type/> node record in the xml format file of basic state drawing knowledge is divided into two types of element operation and annotation operation, four types of space conflict adjustment operation including translation, rotation, node movement and symbol updating are recorded in the element operation, and three types of annotation conflict adjustment strategies including annotation pattern updating, annotation position changing and annotation text content updating are recorded in the annotation operation.

Images