CN103150398A - National fundamental geographic information data-based incremental map updating method - Google Patents
National fundamental geographic information data-based incremental map updating method Download PDFInfo
- Publication number
- CN103150398A CN103150398A CN2013100998831A CN201310099883A CN103150398A CN 103150398 A CN103150398 A CN 103150398A CN 2013100998831 A CN2013100998831 A CN 2013100998831A CN 201310099883 A CN201310099883 A CN 201310099883A CN 103150398 A CN103150398 A CN 103150398A
- Authority
- CN
- China
- Prior art keywords
- incremental
- data
- knowledge
- map
- geographic
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 238000006243 chemical reaction Methods 0.000 claims abstract description 9
- 230000005283 ground state Effects 0.000 claims description 65
- 238000013507 mapping Methods 0.000 claims description 31
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000013519 translation Methods 0.000 claims description 3
- 230000008520 organization Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 21
- 230000008859 change Effects 0.000 description 16
- 238000012217 deletion Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 230000037430 deletion Effects 0.000 description 8
- 238000012986 modification Methods 0.000 description 8
- 230000004048 modification Effects 0.000 description 8
- 210000004907 gland Anatomy 0.000 description 4
- 238000007792 addition Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 240000001238 Gaultheria procumbens Species 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000013144 data compression Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 240000001548 Camellia japonica Species 0.000 description 1
- 102000015532 Nicotinamide phosphoribosyltransferase Human genes 0.000 description 1
- 108010064862 Nicotinamide phosphoribosyltransferase Proteins 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 235000018597 common camellia Nutrition 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Landscapes
- Document Processing Apparatus (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention provides a national fundamental geographic information data-based incremental map updating method. A geographic data-map making data-map data-based map making model is constructed, and incremental geographic data is combined to realize incremental map updating on the basis of basic state data. The method mainly comprises the following steps of: importing the incremental geographic data on the basis of the basic state data; performing semantic matching on the incremental geographic data, and extracting the incremental information of the incremental geographic data; performing incremental map making conversion on the incremental geographic data by combining the incremental information and basic state map making knowledge to generate incremental map making data; performing incremental symbolization and annotation and incremental graph and annotation conflict detection and processing on the incremental map making data by combining the basic state map making knowledge; and updating basic state geographic data on the basis of the incremental geographic data to finish the incremental map updating.
Description
Technical Field
The invention relates to the field of electronic map and digital map making, in particular to an incremental map updating method based on national basic geographic information data.
Background
Compared with the batch-type updating of the terrain database, the incremental information-type updating only provides the user with the incremental information instead of the whole new data set, and gradually becomes the leading research and application subject of the international GIS academic community and the application department in recent years. The current research on incremental updating generally focuses on the classification, expression, extraction, release and integration of incremental updating information. An incremental geospatial data extraction method is described in the 'method for extracting incremental geospatial data' (application number: 200910062280.8); a method for issuing geospatial data increment information (application number: 200910062281.2) describes a method for extracting geospatial data; a map data increment updating method for a navigation device (application No. 200910304398.7) discloses a map data increment updating method for a navigation device, which carries out path calculation according to a terminal of the navigation device and waits for a server end to return difference updating data; a map updating method of a navigation terminal, a navigation terminal and a system (application No. 200910235281.8) are also provided for the navigation terminal; application Programming Interface (API) for navigation applications that fuse incremental updates with existing map databases (application No.: 201080054948.5) describes a navigation map data download update mechanism and system that also serves an in-vehicle navigation system.
Incremental map updating refers to performing map expression and processing of the relation between the geographic data incremental updating information and a ground state graph on the basis of the existing map expression result (ground state data) to obtain the present map expression result. At present, research on incremental updating cartography is few, and under the existing map cartography technical condition, even if incremental updating data exists, the latest current result can be obtained by adopting all cartography modes.
Disclosure of Invention
In order to solve the problems, the invention provides an incremental map updating method based on the national basic geographic information data, so that all incremental map problems related to the incremental map based on the national basic geographic information data can be subjected to incremental map making by using the scheme provided by the invention.
The invention provides an incremental map updating method based on country basic geographic information data, which comprises the following steps,
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 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.
Also, in step 3, cartographic conversion is performed only on the incremental geographic data and the associated ground state geographic data.
Also, in step 4, only incremental chart data and associated ground state chart data are tokenized and pattern conflict detected and processed.
Also, in step 5, annotation and annotation conflict detection and processing is performed only on the incremental cartographic data and the associated base state cartographic data.
Further, in step 3, step 4 and step 5, the ground state drawing knowledge is the figure and note conflict detection and processing expert knowledge generated in the production of the ground state data, and is stored in a file in xml format.
Moreover, the nodes within the ground state cartographic 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.
And the Type of < Type/> node record in the xml format file of the basic state drawing knowledge is divided into two types of element operation and annotation operation, four types of space conflict adjustment operation of element operation record translation, rotation, node movement and symbol updating, and three types of annotation conflict adjustment strategies of annotation operation record annotation style updating, annotation position changing and annotation text content updating.
The method has the advantages that on the basis of the basic state data, only the incremental data and the related basic state data are subjected to local mapping processing, the mapping is quick, the effect is obvious, and the mapping requirement in actual production is met.
Drawings
FIG. 1 is a system architecture diagram of an embodiment of the present invention.
FIG. 2 is a flow chart illustrating a general charting and incremental map updating implementation of an embodiment of the present invention.
FIG. 3 is a schematic diagram of the ground-state mapping knowledge before and after adjustment of spatial dependency conflicts.
FIG. 4 is a schematic diagram of the ground state mapping knowledge before and after adjustment of spatial gland conflicts.
FIG. 5 is a schematic diagram of the automatic adjustment of the note position in the ground state mapping knowledge of the present invention.
FIG. 6 is a detailed flow diagram of incremental map update according to the present invention.
Fig. 7 is a schematic diagram illustrating a flow of incrementally updating a map of linear elements according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of incremental map update of GB classification codes and annotation field change classes of the dot-shaped element "sited grandma" according to the embodiment of the present invention.
Fig. 9 is a schematic diagram illustrating incremental map updating of a new added class by a dotted element "six fingers" according to an embodiment of the present invention.
FIG. 10 is a schematic diagram of an incremental map update of deletion class in the dot-shaped element "region-plant camellia factory" according to the embodiment of the present invention.
Fig. 11 is a schematic diagram of incremental map update of geometry and annotation field change class of linear element "temple river" according to the embodiment of the present invention.
FIG. 12 is a schematic diagram of incremental map update according to an embodiment of the present invention.
Detailed description of the invention
The invention is described in further detail below with reference to the accompanying drawings and detailed description, in order to facilitate the understanding and implementation of the invention by those skilled in the art.
The system architecture in which embodiments of the present invention operate utilizes existing computer database technology, as shown in fig. 1, which includes three parts, a database, a charting system, and an end user. In the embodiment, the database is an Oracle database, and according to the requirement of computer map drawing, the database comprises four types: a geographic database, a cartographic database, a map database, and a map expert knowledge base. The geographic database stores geographic data, namely original DLG (digital Line graphic) digital Line data and metadata thereof, which are the most basic data of computer map making; the mapping database stores mapping data, namely data specially used for mapping, and is a result of modification operations such as element extraction, classification and graph combination on geographic data according to mapping rules. The map database stores map data, i.e., data that can be used directly for map publishing, including charting, annotation, off-map finishing, and the like. The map expert knowledge base stores map expert knowledge, namely a set of map expert knowledge, and can comprise a map symbol base, map rules, symbol comparison rules, symbol result drawing sequences, a note expert knowledge base, conflict rules, conflict processing rules and the like. The basic data flow of a prior art computer mapping system is shown in fig. 2. Firstly, inputting data, performing data preprocessing operations such as data compression, data connection, river structuralization and the like on geographic data in a spacial database in a shape of shapefile, E00 and the like, and converting the geographic data into drawing data; secondly, under the constraint of a map expert knowledge base, map symbolizing, map annotation automatic configuration, external map finishing and other operations are carried out on the map making data to form map data; and finally, the map data can be further imported into a vectorization editing tool such as CorelDraw, Illustrator and the like for editing, and finally the finished electronic map data is archived or printed and output.
FIG. 2 is a schematic diagram illustrating the chart and incremental map update implementation flow of the embodiment of the present invention. The circular nodes represent key processes in the map making, and the black filled nodes represent starting or ending nodes of the map making; the solid one-way arrow represents the direction of the charting flow, and the dashed one-way arrow represents the direction of the incremental updating charting flow; the unfilled corner rectangles represent the mapping knowledge base in the ground state data, and the double-headed dashed arrow represents the direction of application of the ground state mapping knowledge. In a common drawing process (a process indicated by a solid-line one-way arrow), writing drawing knowledge into a basic state drawing knowledge base (xml file) in symbolization, drawing conflict detection and processing, and annotation conflict detection and processing; in the incremental updating drawing process, basic state drawing knowledge in a basic state drawing knowledge base (xml file) is used for guiding the preprocessing, symbolization, graph conflict detection and processing, annotation and annotation conflict detection and processing processes of loaded incremental data.
As shown in fig. 12, the incremental map updating method based on the country-based geographic information data according to the embodiment includes the following steps,
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; in specific implementation, whether the ground state data is symbolized or not can be judged, if yes, the incremental geographic data are directly imported, and otherwise, the incremental geographic data are imported after the ground state geographic data are symbolized;
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 ground state geographic data based on the incremental geographic data to obtain the current data, and finishing the incremental map updating.
In order to improve the efficiency, the invention further provides that: in step 3, only the incremental geographic data and its associated ground state geographic data are subjected to the cartographic conversion, and not all of the ground state geographic data.
In order to improve the efficiency, the invention further provides that: in step 4, only the incremental drawing data and its associated base state drawing data are symbolized and pattern collision detected and processed, rather than all of the base state drawing data.
In order to improve the efficiency, the invention further provides that: in step 5, only the incremental drawing data and its associated base state drawing data are subjected to annotation and annotation conflict detection and processing, rather than all of the base state drawing data.
In step 3, step 4 and step 5, the ground state drawing knowledge is the pattern and note conflict detection and processing expert knowledge generated in the production of the ground state data.
In particular, the ground state mapping knowledge may be stored in an xml file format, which is proposed for reference purposes:
< BaseChartot knowledge < -root node >, and
< DateTime/> < -ground state cartographic knowledge last update time- >
< cutter/> < -ground state drawing knowledge producer >
< institute/> < - -ground state drawing knowledge production facility- - ]
< Scale/> < - -base state mapping knowledge Scale- - > -)
<Layer>
< KnowledgeID/< - > -unique identification code of ground state drawing knowledge > -)
< LayerID/> < - > -layer unique identification code that generates ground state drawing knowledge > - >
< LayerName/> < -layer name >
< FeatureID/> < - > -unique identification code of element generating ground state drawing knowledge > - >
< relationship layer ID/> < -unique identification code of layer associated with FeatureID element- - > -
< relationship FeatureIDs/> < -unique identification codes of all elements related to FeatureID elements >
< Extent/> < - -producing a scope of ground state mapping knowledge >
< Type/> < - -Type of ground state drawing knowledge- - > -)
< Content/< - -Content of ground state drawing knowledge- - ]
</Layer>
</BaseCartoKnowledge>
The Type of the ground state drawing knowledge is recorded by the node < Type/> and is divided into two types of element operation and note operation. Element operation record: four types of space conflict adjustment operations of translation, rotation, node movement and symbol updating; and (4) recording the operation records: and three types of annotation conflict adjustment strategies of annotation style updating, annotation position changing and annotation text content updating. The nodes < Layer > and < Layer > represent that the basic state drawing knowledge of one Layer is recorded. In general, a ground state drawing knowledge xml file may have a plurality of < Layer > nodes.
FIG. 3 is a schematic diagram of the ground-state mapping knowledge before and after adjustment of spatial dependency conflicts in the present invention; FIG. 4 is a schematic diagram of the ground-state mapping knowledge before and after adjustment of spatial capping conflicts in the present invention; fig. 5 is a schematic diagram showing the automatic adjustment of the position in the basic state mapping knowledge of the present invention. According to GBT/T20257.3-2007 part 3 of the national basic Scale map drawing: 1: 250001: 500001: 100000 topographic map, as shown in the right diagram of fig. 3, the railway station must be arranged along the railway line after being symbolized; when the drawing distance between two linear elements is less than 0.2mm, and gland conflict occurs, the linear elements with low grade must be shifted, the left drawing in fig. 4 is that the county road and the single-line standard gauge have gland conflict, the county road grade is lower than the single-line standard rail grade, so that the county road needs to be shifted, and the right drawing in fig. 4 is after the county road is automatically shifted; the notes cannot cover important land features, the notes of the elevation points of the left graph in fig. 5 cover county roads and tractor plowing roads, and the right graph in fig. 5 has the effect of automatically shifting the notes of the elevation points. For the adherence mapping knowledge shown in fig. 3, the capping mapping knowledge shown in fig. 4, and the annotation mapping knowledge shown in fig. 5, the base state mapping knowledge xml is stored as follows. Wherein the basic state mapping knowledge of knowledggeid =1 is the attaching conflict knowledge of the railway station and the railway in the basic state mapping knowledge shown in fig. 3; basic state drawing knowledge with KnowledgeID =2 is gland conflict knowledge of county roads and single-line standard rails in the basic state drawing knowledge; knowledge of ground state mapping with KnowledgeID =3 is the knowledge of position automatic adjustment noted in the knowledge of ground state mapping.
<BaseCartoKnowledge>
<DateTime>2013-01-30 11:37:06</DateTime>
< cutter > best diagram laboratory </cutter >
Institute Wuhan university institute >
<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 incremental information exists in the train station shown in fig. 3, after the train station is incrementally symbolized, incremental rotation processing is performed on the train station according to the drawing knowledge of KnowledgeID =1 in the basic drawing knowledge xml file and according to the direction of the railway.
If the incremental information exists in the county road shown in fig. 4, after the county road is incrementally symbolized, incremental shift processing needs to be performed on the county road according to the drawing knowledge of knowledggeid =2 in the basic drawing knowledge xml file and according to the trend of the single-line standard track.
If the note shown in fig. 5 has incremental information, after the note is incrementally noted, incremental shift of the note is performed according to the basic state drawing knowledge, first, the drawing knowledge of knowledggeid =3 in the xml file, and simultaneously, the elements around the note are combined.
As shown in FIG. 6, the detailed flow of incremental map update of the present invention is:
firstly, loading ground state data and corresponding ground state drawing knowledge.
And secondly, loading incremental information (including incremental geographic data and incremental drawing knowledge), performing semantic recognition on the incremental information, and extracting incremental operation. Increments include both additions and deletions. Incremental geographic data is typically provided in shp format, and incremental cartographic knowledge is provided in xml format corresponding to base state cartographic knowledge.
And step three, if the incremental operation extracted in the step two is not incremental deletion, entering the step four. Otherwise, searching the basic state data for elements related to the incrementally deleted elementsFIf present, ofFThen elements associated with incremental deletion are identified based on ground state cartographic knowledgeFHoming; if not presentFThen it is deleted directly in the base state data.
And fourthly, if the incremental operation extracted in the step II is not incremental modification, entering the step II. Otherwise, firstly judging whether the type of the incremental modification is attribute modification, and if so, entering the step (c); if not, deleting the elements related to incremental modification in the base state data, and entering the step (c).
Fifthly, detecting whether the modified field in the attribute modification is a classified field, if the attribute value of the classified field changes, entering a sixth step, otherwise entering a fifth step;
sixthly, performing increment symbolization on the elements which are increased by increment and added, and entering the step ((b));
step (c), directly modifying the attribute of the ground state data when the non-classified field in the attribute modification is changed, and entering step (c);
searching elements relevant to the incremental symbolization in the ground state data, if the elements exist, incrementally moving the elements relevant to the incremental symbolization according to the ground state drawing knowledge, and if not, entering the step ninthly;
and ninthly, carrying out incremental plotting detection processing on the whole diagram layer to form the current data.
For incremental drawing, the incremental drawing process of the linear elements and the situations to be considered are the most and the most complicated, and here, the incremental drawing of the linear elements is taken as an example to explain the incremental drawing process. As shown in fig. 7, the incremental map update flow of the linear elements is:
firstly, on the basis of basic state data, importing incremental geographic data into a corresponding original image layer for semantic matching, and traversing each line incremental elementFTo extract and distinguish different increment categories.
Step two, judging whether the change type in the increment information is attribute change,
if the change category in the incremental information is attribute change, firstly judging whether the classification field value is changed; if the classification field value changes, operation A is performed, matching the element with the lookup in the base state dataFRelated map data collectionMDThen by searching andMDrelated charting data collectionCDAnd finally, searching andCDall map data sets associated with a cartographic data setMD’Deletion ofMDAndMD’for drawing data setCDCarrying out charting conversion again (including charting data connection, data compression and the like), and carrying out symbolization again; operation A is followed by step R;
if the classification field value is not changed, the attribute in the incremental information is changed into the annotated field, and at the moment, only the incremental element is annotated again;
if the change category in the increment information is not the attribute change, entering the step III;
judging whether the change category in the incremental information is deformation or displacement, splitting, merging, prolonging or shortening, if yes, splitting into the combination of deformation, displacement, addition and deletion, that is, after operation A, entering into the step R; (ii) a
Otherwise, entering the step IV;
judging whether the change category in the incremental information is increased (indicating that linear elements are added), if so, performing operation B, namely searching all drawing data sets of the incremental elements in a certain threshold range (for example, the threshold range of the linear road is a circular surface with the radius of 2mm from the head to the tail in short)CDThen searching and integrating all drawing data setsCDAssociated map data setMDDeletion ofMDRealigning the charting data setCDMaking charting conversion and restymizingCD(ii) a E, entering into step R after operation B;
if the change category in the increment information is not increased, otherwise, entering the fifth step;
judging whether the change type in the increment information is deletion, if yes, making the processing mode identical to that when the increment information is increment, i.e. after operation B making process, making operation B go into step (R); otherwise, entering the step (sixthly);
step sixthly, judging whether the change category in the incremental information is road accessory addition (point-like elements such as milestones, gas stations, toll stations, railway stations and the like are added), if so, performing operation C, namely re-symbolizing the added accessory when implementing incremental drawing, and re-noting the added accessory; e, entering into step R after operation C; otherwise, entering step (c);
step (c), judging whether the change type in the increment information is the accessory deletion, if so, directly deleting the graphic symbol and the mark of the increment accessory to finish the process; otherwise entering the step ((b));
judging whether the change category in the incremental information is accessory deformation or displacement, if so, performing incremental charting processing in the same way as the processing mode when the accessory is added, and entering into the step (R) after operation C; otherwise, entering the step (sixthly);
ninthly, judging whether the change category in the incremental information is that the attribute of the attachment changes, if so, firstly judging whether the classification field value changes, if not, directly re-marking the element to enter into the step (r), and if so, entering into the step (r) after operation C;
and (c) after the increment types are processed, carrying out increment conflict detection processing on the related graphs and the related notes again according to the basic state drawing knowledge, and completing the increment drawing.
As shown in fig. 8, schematic diagrams before and after incremental map update of the dot element "tinzhengzhen" at a scale of 1: 250000 are shown, and the GB classification code of the "tinzhengzhen" is changed and the name thereof is also changed. As shown in fig. 9, schematic diagrams before and after incremental map updating of the dot-shaped element "six finger prefecture" at a scale of 1: 250000 are shown, and the "six finger prefecture" is an additional element. As shown in FIG. 10, before and after incremental map updating of the dot element "regional mountain tea plant" at a scale of 1: 250000, the updated "regional mountain tea plant" is deleted. As shown in fig. 11, the schematic diagram before and after incremental map update of the linear element "the temple river" on the scale of 1: 250000 is shown, and the geometry of the "temple river" is changed and the name thereof is also changed. And because the geometrical form of the 'temple river' is changed, the marking position of the 'shangmucang' is also adjusted in an incremental mode when incremental marking conflict detection and processing are carried out.
The foregoing is illustrative of embodiments of the present invention and is not to be construed as limiting thereof, since equivalent alterations and modifications may be effected without departing from the spirit and scope of the invention as defined by the appended claims.
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310099883.1A CN103150398B (en) | 2013-03-27 | 2013-03-27 | A kind of increment type map updating method based on national fundamental geographic information data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310099883.1A CN103150398B (en) | 2013-03-27 | 2013-03-27 | A kind of increment type map updating method based on national fundamental geographic information data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103150398A true CN103150398A (en) | 2013-06-12 |
| CN103150398B CN103150398B (en) | 2016-08-31 |
Family
ID=48548475
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310099883.1A Expired - Fee Related CN103150398B (en) | 2013-03-27 | 2013-03-27 | A kind of increment type map updating method based on national fundamental geographic information data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103150398B (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440322A (en) * | 2013-08-30 | 2013-12-11 | 天津市测绘院 | Method for quick extracting geographic information data |
| CN103996284A (en) * | 2014-05-14 | 2014-08-20 | 深圳先进技术研究院 | Urban traffic network optimization method and system |
| CN104794236A (en) * | 2015-05-07 | 2015-07-22 | 中国测绘科学研究院 | Map making rule construction and structured organization method and system thereof |
| CN105302914A (en) * | 2015-11-13 | 2016-02-03 | 国家基础地理信息中心 | Fast topographic map charting database updating method based on increment and linkage |
| CN105740325A (en) * | 2016-01-20 | 2016-07-06 | 国家基础地理信息中心 | Trans-scale geographic information linkage updating technical method based on spatial automatic matching |
| CN106055717A (en) * | 2016-07-15 | 2016-10-26 | 西安测绘研究所 | Method for integrally managing geographic information and cartographic data |
| CN106250388A (en) * | 2016-07-15 | 2016-12-21 | 西安测绘研究所 | A kind of method updating geography information with map making data that links |
| CN110222066A (en) * | 2019-05-30 | 2019-09-10 | 上海市地震局 | A kind of map data updating method and system of the application system based on GIS |
| CN110853016A (en) * | 2019-11-12 | 2020-02-28 | 西安中科星图空间数据技术有限公司 | Automatic checking method and device for topographic map publishing quality |
| CN111159326A (en) * | 2020-01-02 | 2020-05-15 | 中国航空工业集团公司西安航空计算技术研究所 | Airborne digital map local data incremental updating method and device |
| CN111858805A (en) * | 2020-07-08 | 2020-10-30 | 中国第一汽车股份有限公司 | High-precision map updating method, vehicle, server and storage medium |
| CN113204608A (en) * | 2021-05-27 | 2021-08-03 | 广州大学 | Automatic map updating method, storage medium and system based on remote sensing image |
| CN113312369A (en) * | 2021-07-30 | 2021-08-27 | 自然资源部第三地理信息制图院 | Multi-scale map database cascading updating method based on unique identification code |
| CN115619228A (en) * | 2022-08-10 | 2023-01-17 | 北京市测绘设计研究院 | Preprocessing method for putting key element data in storage in urban territorial space |
| CN117573795A (en) * | 2024-01-15 | 2024-02-20 | 北京山维科技股份有限公司 | Ground object display distinguishing method and device |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799702A (en) * | 2012-04-19 | 2012-11-28 | 国家基础地理信息中心 | Quick topographic map making method based on database driving |
-
2013
- 2013-03-27 CN CN201310099883.1A patent/CN103150398B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799702A (en) * | 2012-04-19 | 2012-11-28 | 国家基础地理信息中心 | Quick topographic map making method based on database driving |
Non-Patent Citations (2)
| Title |
|---|
| 尹章才 等: "基于XML的地图表达机制研究", 《武汉大学学报信息科学版》, vol. 32, no. 2, 28 February 2007 (2007-02-28), pages 135 - 138 * |
| 胡振龙 等: "地理数据库驱动的增量更新制图研究", 《武汉大学学报信息科学版》, vol. 35, no. 12, 31 December 2010 (2010-12-31), pages 1478 - 1481 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440322A (en) * | 2013-08-30 | 2013-12-11 | 天津市测绘院 | Method for quick extracting geographic information data |
| CN103996284A (en) * | 2014-05-14 | 2014-08-20 | 深圳先进技术研究院 | Urban traffic network optimization method and system |
| CN104794236B (en) * | 2015-05-07 | 2018-04-20 | 中国测绘科学研究院 | A kind of map making rule structure and its structured organization method and system |
| CN104794236A (en) * | 2015-05-07 | 2015-07-22 | 中国测绘科学研究院 | Map making rule construction and structured organization method and system thereof |
| CN105302914A (en) * | 2015-11-13 | 2016-02-03 | 国家基础地理信息中心 | Fast topographic map charting database updating method based on increment and linkage |
| CN105302914B (en) * | 2015-11-13 | 2018-07-10 | 国家基础地理信息中心 | A kind of topographic map cartographic data base Rapid Updating based on increment and linkage |
| CN105740325A (en) * | 2016-01-20 | 2016-07-06 | 国家基础地理信息中心 | Trans-scale geographic information linkage updating technical method based on spatial automatic matching |
| CN106250388A (en) * | 2016-07-15 | 2016-12-21 | 西安测绘研究所 | A kind of method updating geography information with map making data that links |
| CN106055717A (en) * | 2016-07-15 | 2016-10-26 | 西安测绘研究所 | Method for integrally managing geographic information and cartographic data |
| CN110222066A (en) * | 2019-05-30 | 2019-09-10 | 上海市地震局 | A kind of map data updating method and system of the application system based on GIS |
| CN110853016A (en) * | 2019-11-12 | 2020-02-28 | 西安中科星图空间数据技术有限公司 | Automatic checking method and device for topographic map publishing quality |
| CN111159326A (en) * | 2020-01-02 | 2020-05-15 | 中国航空工业集团公司西安航空计算技术研究所 | Airborne digital map local data incremental updating method and device |
| CN111858805A (en) * | 2020-07-08 | 2020-10-30 | 中国第一汽车股份有限公司 | High-precision map updating method, vehicle, server and storage medium |
| CN113204608A (en) * | 2021-05-27 | 2021-08-03 | 广州大学 | Automatic map updating method, storage medium and system based on remote sensing image |
| CN113312369A (en) * | 2021-07-30 | 2021-08-27 | 自然资源部第三地理信息制图院 | Multi-scale map database cascading updating method based on unique identification code |
| CN115619228A (en) * | 2022-08-10 | 2023-01-17 | 北京市测绘设计研究院 | Preprocessing method for putting key element data in storage in urban territorial space |
| CN117573795A (en) * | 2024-01-15 | 2024-02-20 | 北京山维科技股份有限公司 | Ground object display distinguishing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103150398B (en) | 2016-08-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103150398B (en) | A kind of increment type map updating method based on national fundamental geographic information data | |
| JP5390840B2 (en) | Information analyzer | |
| US8402058B2 (en) | Method and computer program product for geophysical and geologic data identification, geodetic classification, organization, updating, and extracting spatially referenced data records | |
| Lieskovský et al. | Historical land use dataset of the Carpathian region (1819–1980) | |
| CN107391514A (en) | A kind of data generally investigate result output method | |
| CN111488421A (en) | Data fusion method of traditional map and high-precision map | |
| CN104102677A (en) | Method and device for updating data of electronic map and server | |
| Zandbergen et al. | Positional accuracy of TIGER 2000 and 2009 road networks | |
| CN105426521A (en) | Chart database with three-level indexing structure and data reading method thereof | |
| CN111522892A (en) | Geographic element retrieval method and device | |
| CN103425789A (en) | Spatio-temporal data query method and device | |
| CN105930478B (en) | Spatial data based on feature object spatial information fingerprint changes catching method | |
| CN102999548B (en) | Geographical name data extended method and device in electronic chart | |
| JP5192413B2 (en) | Data integration apparatus and data integration method | |
| JP5814497B2 (en) | Map / handwritten information input / utilization system, method and program thereof | |
| Chiang et al. | GeoAI for the Digitization of Historical Maps | |
| Mukhopadhyay et al. | Developing geodetic search interface through auto-generation of geographic name authority datasets | |
| Wang et al. | Lightweight map updating for highly automated driving in non-paved roads | |
| Bürgl et al. | Semi-automatic extraction of metadata from old geological maps | |
| Zhou et al. | Research of the digital map symbolization control based on knowledge | |
| Walsh | Bedrock Geologic Map of the Hartland and North Hartland Quadrangles, Windsor County, Vermont, and Sullivan and Grafton Counties, New Hampshire | |
| Rajagopal et al. | A machine learning pipeline for automated registration and classification of 3D lidar data | |
| Maliqi et al. | Application of GIS In the special zone of interest “Gumnishtë”–Kosovo | |
| Schumacher et al. | 6 Uncertain information and spatial objects | |
| JP2007257080A (en) | Spot information retrieval device, spot information retrieval method and program for retrieving spot information and program for updating spot information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160831 Termination date: 20180327 |