CN1933411A - Method for publishing vector map based on interconnection network - Google Patents
Method for publishing vector map based on interconnection network Download PDFInfo
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- CN1933411A CN1933411A CNA2006100965096A CN200610096509A CN1933411A CN 1933411 A CN1933411 A CN 1933411A CN A2006100965096 A CNA2006100965096 A CN A2006100965096A CN 200610096509 A CN200610096509 A CN 200610096509A CN 1933411 A CN1933411 A CN 1933411A
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Abstract
A method for publishing vector map based on Internet includes redefining data structure of mass vector space data and adding type, profession, important stratification, space index and/or peripheral space density of culture features on mass space data structure; unblocking said data structure according to said relevant parameters then setting up a networked mathematical matrix based on longitude and latitude and calculating geographic data for each space as well as indexing space data to corresponding matrix for being stored.
Description
Technical field
The invention belongs to computer application based on the Internet issue spatial geography data.The present invention relates to the magnanimity spatial geography data and in network, issue demonstration, relate to the complete data dissemination method of a cover that data structure, classification storage, data to spatial geography data show.
Background technology
The spatial geography data network is successfully issued, and is significant aspect the issue of massive spatial data network, and it can be widely used in politics, national defence, commerce, culture or the like the application, and information system is graphical, visualize, maintenance are oversimplified.Share and have important function for improving information data.But, be that data are big, network transfer speeds is slow, period of reservation of number is long based on the Internet issue magnanimity spatial geography data; Can't reach timely issue demand.Simultaneously also transmitted the unwanted map datum of multi-user, improved pressure server and the Internet.
Electronic chart (b/s structure) mainly comprises dual mode.A kind of is approach vector, a kind of grid mode.
Approach vector: according to space coordinates point data and mathematical formulae, this locality by client computer drives describes map.
The grid mode: the mode by picture is come displayed map.
Correspond to two kinds of above published methods, the b/s structure can be subdivided into fat b/s structure and thin b/s structure again.
Fat b/s: fat browser/server mechanism, the calculating of map and the process of drafting are finished in client.
Thin b/s: the degree browser/server structure, the calculating of map and drafting are all finished at server end.Client browser only Shows Picture.
For the grid mode, its speed each time all is balanced, mapping is each time all entrusted at server, and the key of speed can be by promoting server hardware or providing distributed service to come hoisting velocity just on the bandwidth of the performance of server and network like this.Because carry out complicated calculating and mapping at server end, the pressure of server is with excessive, disposal ability has certain restriction.
Fat b/s structure is a real-time structure.It is low to server requirement, and the pressure of server is little, and all graphic operations are finished in client substantially.All technology realize just can providing better service as long as carry out technical improvement on client.Along with in hardware technology, caching technology, distribution is the development of technology, the lifting of the network bandwidth in addition, being distributed on the speed of approach vector will significantly promote.A kind of among thin b/s (grid mode) or the fat b/s (approach vector) can be selected in local area network (LAN) inside, preferably adopts thin b/s (grid mode) in issue on the internet; If require in real time than higher, fat b/s structure is adopted in suggestion, if lower for real-time requirement, adopts thin b/s structure.Certainly this neither be absolute.Need carry out overall consideration according to concrete project.
02151061.X in the quick house of the man-machine interaction map vector production method, relate to original image and after preliminary treatment converts map graph to, carry out the principal curve detection, adopt the man-machine interaction method to generate the house map vector again, 1) prediction border, house seed point: will be defined as growth cores by the house inner any 1: 0 that man-machine interaction obtains, by growth cores respectively along 0, π/4, pi/2,3 π/4, π, 5 π/4,2 π/3,7 π/4 eight direction expands outwardly, and is defined as border, the house seed point of prediction with eight intersection points on the original map figure; 2) identification and remove the inner erroneous judgement in house point: for the erroneous judgement point of inside, house, discern and remove such erroneous judgement seed point, continue to expand outwardly along the direction that generates this seed point then and look for another replacement point with scaling filter; 3) seek the breakpoint of border, house figure by border seed point: from each seed point, search for along border, house figure always, seek breakpoint, if the number of breakpoint is zero, illustrate that profile is closed, then this closed outline of house is carried out the vector quantization operation and generate digital house map datum; 4) breakpoint of the outside erroneous judgement in removal house seed dot generation:, remove the erroneous judgement breakpoint to the distance the seed point from distance and breakpoint between the adjacent numbering breakpoint to because outline of house is not judged point by accident in the outside, house of closed generation; 5) connect each breach and form closed outline of house: calculate the slope of breach two breakpoint place outline of house respectively,, then directly connect two breakpoints if the slope of two breakpoints is almost equal; If the slope difference is bigger, then obtain the intersection point of two straight lines, intersection point is continuous therewith with breakpoint respectively; Through prediction border, house seed point, identification is also removed the inner erroneous judgement in house point, is sought the breakpoint of border, house figure and is removed the breakpoint of the outside erroneous judgement in house seed dot generation by border seed point, connects each breach again and forms closed outline of house.
Disclosing of foregoing invention is the same with prior art, existing map vector data is to be depicted as a big map by point, line, surface substantially, divide the figure layer according to the type of figure then, and these single figure layer data are all very big, at global metadata, the figure layer that need be divided into same nature manages.
And spatial geography data is the magnanimity of data, the network bandwidth is too narrow, transmission and the issue to data brings great difficulty like this, show that the network bandwidth is too much taken, the user waits as long for, and map datum can't show, can't reach timely issue demand.
Summary of the invention
The present invention seeks to, at top existing problem, propose a kind of method at issue magnanimity approach vector map on the internet, can guarantee to require in real time height, this locality of client computer can conveniently drive and describe map.
Method based on the Internet publishing vector map:
1. magnanimity vector space data are redefined its data structure, comprise existing map vector data, be depicted as a big map, divide the figure layer according to the type of figure then, and the figure layer that is divided into same nature manages by point, line, surface; Characteristics of the present invention are: new data structure increases type of ground objects, atural object industry, the important level of atural object, atural object spatial index, atural object peripheral space density etc.
2. the data after the modification data structure will be according to the factors such as the important level of type, type of ground objects, atural object, atural object longitude and latitude, map magnification ratio or unit area atural object detailed procedure of figure, through after the detailed computing map being divided into N little map, thereby guarantee enough little of each little map, so that network transmits fast.Longitude and latitude, map magnification ratio, index according to the earth stores N little map on the other hand.
Each little map constitutes by original division methods after adding according to the beacon information of atural object, and the method for its detailed computing is: data block is that the position determination module is used for comprehensive based on described data, determines the position of system lead in described three-dimensional map; And mapping module (data block), being used for drawing described three-dimensional map with described system lead by the position that utilizes described system lead, described system lead is represented described path in the described three-dimensional map by utilizing described map vector data.
3. the user asks display map data.
4. after system receives request, with the map zone of living in of user's request, information such as map magnification ratio, the needed data block of inquiring user is returned the required data of user.
5. the user must be according to behind the individual data, map display module is directly carried out loading synchronous and is shown, the user can see map datum at short notice like this, has also avoided transmitting the unwanted map datum of multi-user simultaneously, has reduced the pressure to server and the Internet.Below in conjunction with accompanying drawing most preferred embodiment is elaborated.
Characteristics of the present invention are: provide a kind of fairly perfect solution according to existing data, technology, network environment and user's request,
Description of drawings
Fig. 1 is a data preparation optimizer block diagram of the present invention.
Fig. 2 is a data issue display routine block diagram of the present invention.
Embodiment
As shown in Figure 1, (new data structure increases type of ground objects on original basis at first massive spatial data to be carried out the optimization of data structure as the manager of network issue, the atural object industry, the important level of atural object, the atural object spatial index, atural object peripheral space density etc.), then the data after optimizing are being pressed the zone, industry, it is that many tiny data blocks are (according to the type of figure that parameters such as importance are handled storage to the data blocking, type of ground objects, the important level of atural object, the atural object longitude and latitude, the map magnification ratio, factors such as unit area atural object detailed procedure, through after the detailed computing map being divided into N little map, thereby guarantee enough little of each little map, so that network transmits fast.According to longitude and latitude, map magnification ratio, N little map of index storage of the earth, the user only needs the data in zone to get final product with browsing so on the other hand).System is finished by prior art electronic chart software for drawing by the math matrix padding data of the gridding of longitude and latitude.
As shown in Figure 2, step 1 is user's initial actuating, and step 2 is data decision operation, and there are needed data in this locality, will carry out step 3, display map data; To not submit request map datum instruction (carrying information such as map parameter) to if there are data; Step 5 is after obtaining user's request, the needed spatial index data block of calculation of parameter user according to user's request, if inquiry will be returned mistake (step 7) for sky, if be not empty with reading of data, the envelope count off is according to (step 8), feedback data is given the user, and (step 9), the user obtains disposal data (map datum that there has been index this locality in system, logarithm is preferentially arranged according to the show) displayed map (step 10) after the data.
The basis that data block constitutes is the type by figure, type of ground objects, the important level of atural object, the atural object longitude and latitude, the map magnification ratio, factors such as unit area atural object detailed procedure are in conjunction with the network data transmission technology packet, real network situation and period of reservation of number time limit are basis (Network Transmission file, basic each transmission 16k or 32k, the response of user's wait routine is in 10), (system sets up a math matrix based on the gridding of longitude and latitude earlier in detailed computing through system, to calculate each spatial geography data then, spatial data index in the matrix of correspondence, and is preserved.After carrying out the operation first time, system is with size of data in the search matrix, if the excessive system of data is above process again, meet then and stop) afterwards map is divided into N the little map that maximum is no more than 100K, thereby guarantee enough little of each little map, so that the network purpose that responds fast of transmission and client fast.N is relevant with the data volume of whole map.According to the longitude and latitude of the earth, map magnification ratio, N little map of index storage, only get final product with the data that propose to browse the zone that needs setting.Described tiny data block is according to the scope of data volume.
The storage of Vector Message, each atural object may be made up of a plurality of 2 dimension figure sources, he is corresponding many records in the physics description list, every record all is by 5 pairs of vectors,＜x, y〉composition, the value of this Vector Message write down, and it is clear to adopt 2 grades of coding strategies to make that 2 dimension pels each substrate as many meanings polygon can be described with the Vector Message that surpasses 5 pairs of a complexity just can pass through existing structrual description.
Claims (4)
1. based on the method for the Internet publishing vector map, system is by the math matrix of the gridding of longitude and latitude, with spatial data index in the matrix of correspondence, it is characterized in that magnanimity vector space data are redefined its data structure, the massive spatial data structure increases type of ground objects, atural object industry, the important level of atural object, atural object spatial index or/and atural object peripheral space density, and spatial data structure comprises that the atural object data to above-mentioned increase mark; Then described data are being handled the data blocking by parameters such as zone, industry, importance, the basis that data block constitutes is that factor such as the important level of type, type of ground objects, atural object, atural object longitude and latitude, map magnification ratio, unit area atural object detailed procedure by figure is the basis in conjunction with network data transmission technology packet, real network situation and period of reservation of number time limit, system sets up a math matrix based on the gridding of longitude and latitude earlier, to calculate each spatial geography data then, spatial data index in the matrix of correspondence, and is preserved.
2, by the described method of claim 1 based on the Internet publishing vector map, it is characterized in that after carrying out the operation first time, system is with size of data in the search matrix, if the excessive system of data is above process again, meet then and stop, then map is divided into N the little map that maximum is no more than 100K, thereby guarantees enough little of each little map, so as network transmission and client respond fast fast.
3,, it is characterized in that longitude and latitude, map magnification ratio, N little map of index storage, as long as propose to browse the data in the zone that need set according to the earth by the described method of claim 1 based on the Internet publishing vector map.
4, by the described method based on the Internet publishing vector map of claim 1, it is characterized in that described step is: (1) user's initial actuating, (2) are the data decision operation, and there are needed data in this locality, will carry out step (3): display map data; If there are not data, (4) will submit the instruction of request map datum to; Step (5) is after obtaining user's request, the needed spatial index data block of calculation of parameter user according to user's request, if inquiry is carried out step (7) for sky will return mistake, if be not empty with reading of data, the envelope count off is according to step (8), and feedback data is given user steps (9), the user obtains disposal data after the data, be the map datum that there has been index this locality in system, logarithm is preferentially arranged according to the show, displayed map step (10).
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| CNA2006100965096A CN1933411A (en) | 2006-09-28 | 2006-09-28 | Method for publishing vector map based on interconnection network |
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| CNA2006100965096A CN1933411A (en) | 2006-09-28 | 2006-09-28 | Method for publishing vector map based on interconnection network |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101363734A (en) * | 2007-08-06 | 2009-02-11 | 北京灵图软件技术有限公司 | Partitioning download method for map data, the map data and partitioning download device |
| CN102402532A (en) * | 2010-09-13 | 2012-04-04 | 方正国际软件有限公司 | Thematic map configuration generation method and system |
| CN102609517A (en) * | 2012-02-09 | 2012-07-25 | 武汉大学 | Method and system for online vector map comprehensive services |
| CN101739443B (en) * | 2009-12-29 | 2012-10-03 | 广东威创视讯科技股份有限公司 | System and method for fast response of GIS intelligent analyzing system on large high-definition screen |
| CN103870548A (en) * | 2014-02-26 | 2014-06-18 | 浙江大学 | Access control method of spatial database |
| CN103986763A (en) * | 2014-05-13 | 2014-08-13 | 中国科学院地理科学与资源研究所 | Vector data stream transmission method and system oriented to Web visualization |
| CN104537024A (en) * | 2014-12-19 | 2015-04-22 | 河海大学 | Mass position check-in data visualization method |
| CN105205092A (en) * | 2014-06-21 | 2015-12-30 | 谷歌公司 | Tile-based distribution of searchable geospatial data to client devices |
| CN106557567A (en) * | 2016-11-21 | 2017-04-05 | 中国农业银行股份有限公司 | A kind of data processing method and system |
| CN106649653A (en) * | 2016-12-12 | 2017-05-10 | 中国航空工业集团公司西安航空计算技术研究所 | Preprocessing method for onboard vector map data |
| CN110955743A (en) * | 2019-11-29 | 2020-04-03 | 农业农村部规划设计研究院 | Method and device for establishing space index file for vector elements |
-
2006
- 2006-09-28 CN CNA2006100965096A patent/CN1933411A/en active Pending
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101363734A (en) * | 2007-08-06 | 2009-02-11 | 北京灵图软件技术有限公司 | Partitioning download method for map data, the map data and partitioning download device |
| CN101739443B (en) * | 2009-12-29 | 2012-10-03 | 广东威创视讯科技股份有限公司 | System and method for fast response of GIS intelligent analyzing system on large high-definition screen |
| CN102402532A (en) * | 2010-09-13 | 2012-04-04 | 方正国际软件有限公司 | Thematic map configuration generation method and system |
| CN102609517A (en) * | 2012-02-09 | 2012-07-25 | 武汉大学 | Method and system for online vector map comprehensive services |
| CN102609517B (en) * | 2012-02-09 | 2013-09-18 | 武汉大学 | Method and system for online vector map comprehensive services |
| CN103870548B (en) * | 2014-02-26 | 2017-01-04 | 浙江大学 | The access control method of spatial database |
| CN103870548A (en) * | 2014-02-26 | 2014-06-18 | 浙江大学 | Access control method of spatial database |
| CN103986763A (en) * | 2014-05-13 | 2014-08-13 | 中国科学院地理科学与资源研究所 | Vector data stream transmission method and system oriented to Web visualization |
| CN103986763B (en) * | 2014-05-13 | 2017-08-25 | 中国科学院地理科学与资源研究所 | A kind of visual vector data streaming method of web oriented and system |
| CN105205092A (en) * | 2014-06-21 | 2015-12-30 | 谷歌公司 | Tile-based distribution of searchable geospatial data to client devices |
| CN104537024A (en) * | 2014-12-19 | 2015-04-22 | 河海大学 | Mass position check-in data visualization method |
| CN104537024B (en) * | 2014-12-19 | 2017-12-22 | 河海大学 | A kind of magnanimity position is registered the method for visualizing of data |
| CN106557567A (en) * | 2016-11-21 | 2017-04-05 | 中国农业银行股份有限公司 | A kind of data processing method and system |
| CN106649653A (en) * | 2016-12-12 | 2017-05-10 | 中国航空工业集团公司西安航空计算技术研究所 | Preprocessing method for onboard vector map data |
| CN110955743A (en) * | 2019-11-29 | 2020-04-03 | 农业农村部规划设计研究院 | Method and device for establishing space index file for vector elements |
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