CN104268201A - GIS (Geographic Information System) platform based spatial massive multivariate data unified index method - Google Patents
GIS (Geographic Information System) platform based spatial massive multivariate data unified index method Download PDFInfo
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- CN104268201A CN104268201A CN201410488947.1A CN201410488947A CN104268201A CN 104268201 A CN104268201 A CN 104268201A CN 201410488947 A CN201410488947 A CN 201410488947A CN 104268201 A CN104268201 A CN 104268201A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Abstract
The invention belongs to the technical field of GIS (Geographic Information System) engineering and intelligent decision making and particularly relates to a GIS platform based spatial massive multivariate data unified index method. The GIS platform based spatial massive multivariate data unified index method comprises the following steps of compiling and deploying codes of a back-end server of a GIS platform; compiling a grid spatial index method according to received geographical coordinate information of associated equipment sources; calling layer data according to the received massive multivariate data; performing dynamic calling on layer compiling and deployment and dynamically calling on the layer data according to logical processing of the received massive multivariate data; monitoring GIS platform events; display data at the front end of an GIS platform. The GIS platform based spatial massive multivariate data unified index method can greatly quicken the data searching degree, obviously reducing inquire grouping and the sorting time and effectively improve the GIS platform analysis display efficiency and provides a brand new solution scheme for power grid equipment resource management and GIS platform analysis.
Description
(1) technical field
The invention belongs to Geographic Information System engineering and Intelligent Decision Technology field, particularly a kind of space magnanimity multivariate data based on GIS platform unifies indexing means.
(2) background technology
Along with the widespread use of mobile Internet and technology of Internet of things, space multiple information data volume increases rapidly, and the data of magnanimity make traditional space multivariate data index be faced with new challenge.As, the multivariate data due to magnanimity makes the magnetic disc access times of traditional memory type index structure greatly increase.The fundamental purpose setting up spatial index mechanism is convenient to the location of extraterrestrial target and various search operaqtion.Set up point, line, surface very necessary to the index structure of spatial data (face key element basic graticule mesh filling data), it can make its part have object-oriented function.
In Shandong Province's power network GIS platform, there is the spatial data of magnanimity, and these data are As time goes on ever-increasing, the access of raising power network GIS platform, search efficiency problem are problems in the urgent need to address.
(3) summary of the invention
The present invention is in order to make up the deficiencies in the prior art, provide a kind of space magnanimity multivariate data based on GIS platform and unify indexing means, greatly can accelerate the retrieval degree of data, remarkable minimizing inquiry packets and sorting time, effectively can promote GIS platform analysis and show efficiency, for the analysis of grid equipment resource management GIS platform provides brand-new solution.
The present invention is achieved through the following technical solutions:
Space magnanimity multivariate data based on GIS platform unifies an indexing means, it is characterized in that: comprise the following steps:
(1), GIS platform back-end server coding and deployment, real-time reception relevant device resource geographic coordinate data;
(2), according to the geographic coordinate information of the relevant device resource received, write grid spatial index method, the data of reception are divided according to fixing graticule mesh, for the object fallen in each graticule mesh sets up index, the target falling into each graticule mesh is correctly put into this graticule mesh, in retrieving, judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
(3), its figure layer data is called according to the magnanimity multivariate data received;
(4), the establishment of dynamic call layer with dispose, according to the logical process receiving magnanimity multivariate data, call figure layer data dynamically;
(5), GIS platform rear end pushes the magnanimity space multivariate data through unified Grid Index to GIS platform front end;
(6), GIS platform event is monitored;
(7), GIS platform front end receiver data display.
Preferably, in step (2), graticule mesh be divided into 8*8.
Preferably, in step (6), in the GIS platform display container of front end, write event listener, to monitor the data that GIS platform rear end pushes to GIS platform front end.
The invention has the beneficial effects as follows:
(1), can inquiry rapidly and efficiently, retrieval GIS platform magnanimity space multivariate data, utilize Grid Index to set up the unified index of power network resources, meteorological resources for GIS platform, be convenient to dynamic expansion and the change of GIS platform spatial index;
(2), grid equipment resource location information is received in GIS platform front end according to dynamic display in real time, displaying interface, GIS platform front end does not need manual operations, by the data that action listener pushes to GIS platform rear end, automatically the power network resources information increased is added in the consistent layer of attribute, the latest data that GIS platform pushes is carried out dynamic in real time displaying.
(4) accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further illustrated.
Accompanying drawing 1 is process flow diagram of the present invention;
Accompanying drawing 2 is the structured flowchart of GIS.
(5) embodiment
Accompanying drawing is a kind of specific embodiment of the present invention.A kind of space magnanimity multivariate data based on GIS platform of this embodiment unifies indexing means, comprises the following steps:
(1), GIS platform back-end server coding and deployment, real-time reception relevant device resource geographic coordinate data;
(2), according to the geographic coordinate information of the relevant device resource received, write grid spatial index method, the data of reception are divided according to fixing graticule mesh, the form of graticule mesh is 8*8, for the object fallen in each graticule mesh sets up index, the target falling into each graticule mesh is correctly put into this graticule mesh, in retrieving, judge target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
(3), its figure layer data is called according to the magnanimity multivariate data received;
(4), the establishment of dynamic call layer with dispose, according to the logical process receiving magnanimity multivariate data, call figure layer data dynamically;
(5), GIS platform rear end pushes the magnanimity space multivariate data through unified Grid Index to GIS platform front end;
(6) event listener is write, to monitor the data that GIS platform rear end pushes to GIS platform front end in the GIS platform display container of, front end;
(7), GIS platform front end receiver data display.
Space magnanimity multivariate data based on GIS platform unifies an indexing means, further, comprises the following steps:
(1), GIS platform background service code is write and deployment;
(2), front end Container Code is write according to the relevant displaying GIS platform analytical information that needs;
(3), monitoring event is added to GIS platform front end Container Code;
(4), GIS platform rear end builds related needs server, writes reception space, GIS platform rear end magnanimity multivariate data service code;
(5), according to the geographic coordinate information (as power network resources) of the relevant device resource received, write grid spatial index method, the data of reception are carried out dividing (8*8 graticule mesh) according to fixing graticule mesh, for falling into object in each graticule mesh (as power network resources equipment, weather detection devices) set up index, the target falling into each graticule mesh is correctly put into this graticule mesh, in retrieving, application Grid Index method judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
(6), realize according to correlation space multivariate data index, the demand of inquiry, retrieval desired data;
(7) and the magnanimity space multivariate data information pushing indexed to GIS platform front end container;
(8), GIS front end container shows according to functional requirement;
(9), code compilation and deployment.
Adopt a kind of space magnanimity multivariate data based on GIS platform of the present invention to unify indexing means, comprise following two embodiments:
One, the realization of indexing means is unified based on the space magnanimity multivariate data of electrical network:
1, GIS platform back-end services code is write and deployment;
2, the displaying GIS platform analytical information that needs according to GIS electrical network platform writes GIS platform front end Container Code;
3, monitoring event is added to GIS platform front end Container Code;
4, GIS platform rear end builds related needs server, writes GIS platform rear end and receives power network resources space magnanimity multivariate data service code;
5, according to the geographic coordinate information (as power network resources) of the relevant device resource received, write grid spatial index method, the data of reception are carried out dividing (8*8 graticule mesh) according to fixing graticule mesh, for falling into object in each graticule mesh (as power network resources equipment, weather detection devices) set up index, the target falling into each graticule mesh is correctly put into this graticule mesh, in retrieving, application Grid Index method judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
6, the unified index of power network resources magnanimity multivariate data (structuring, destructuring) and retrieval technique algorithm are write;
7, realize according to power network resources space multivariate data index, the demand of inquiry, retrieval desired data;
8 and the power network resources magnanimity space multivariate data information pushing indexed to GIS platform front end container;
9, GIS front end container shows according to functional requirement;
10, code compilation and deployment.
Two, the realization of indexing means is unified based on the space magnanimity multivariate data of meteorology:
1, GIS platform back-end services code is write and deployment;
2, the displaying GIS platform analytical information that needs according to GIS meteorology writes GIS platform front end Container Code;
3, monitoring event is added to GIS platform front end Container Code;
4, GIS platform rear end builds related needs server, writes GIS platform rear end and receives meteorological spatial magnanimity multivariate data service code;
5, according to the geographic coordinate information (as power network resources) of the relevant device resource received, write grid spatial index method, the data of reception are carried out dividing (8*8 graticule mesh) according to fixing graticule mesh, for falling into object in each graticule mesh (as power network resources equipment, weather detection devices) set up index, the target falling into each graticule mesh is correctly put into this graticule mesh, in retrieving, application Grid Index method judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
6, the unified index of meteorological magnanimity multivariate data (structuring, destructuring) and retrieval technique algorithm are write;
7, realize according to meteorological spatial multivariate data index, the demand of inquiry, retrieval desired data;
8 and the meteorological magnanimity space multivariate data information pushing indexed to GIS platform front end container;
9, GIS front end container shows according to functional requirement;
10, code compilation and deployment.
Wherein,
GIS is the English abbreviation of Geographic Information System (Geographic Information System).GIS platform general set map edit, inquiry, location, amplify, reduce, network analysis, path analysis, equivalently analyzes, the functions such as DEM analysis.
Front end container: front-end user interface is made up of assembly.A container is a particular components that can comprise other assemblies, as shown in Figure 2.
Claims (5)
1. the space magnanimity multivariate data based on GIS platform unifies an indexing means, it is characterized in that: comprise the following steps:
(1), GIS platform back-end server coding and deployment, real-time reception relevant device resource geographic coordinate data;
(2), according to the geographic coordinate information of the relevant device resource received, write grid spatial index method, the data of reception are divided according to fixing graticule mesh, for the object fallen in each graticule mesh sets up index, the target falling into each graticule mesh is correctly put into this graticule mesh, in retrieving, judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
(3), its figure layer data is called according to the magnanimity multivariate data received;
(4), the establishment of dynamic call layer with dispose, according to the logical process receiving magnanimity multivariate data, call figure layer data dynamically;
(5), GIS platform rear end pushes the magnanimity space multivariate data through unified Grid Index to GIS platform front end;
(6), GIS platform event is monitored;
(7), GIS platform front end receiver data display.
2. a kind of space magnanimity multivariate data based on GIS platform according to claim 1 unifies indexing means, it is characterized in that: in step (2), graticule mesh be divided into 8*8.
3. a kind of space magnanimity multivariate data based on GIS platform according to claim 1 unifies indexing means, it is characterized in that: in step (6), event listener is write, to monitor the data that GIS platform rear end pushes to GIS platform front end in the GIS platform display container of front end.
4. a kind of space magnanimity multivariate data based on GIS platform according to claim 1 unifies indexing means, it is characterized in that: the method, based on power network resources, comprises the following steps:
(1), GIS platform back-end services code is write and deployment;
(2) the displaying GIS platform analytical information that needs, according to GIS electrical network platform writes GIS platform front end Container Code;
(3), monitoring event is added to GIS platform front end Container Code;
(4), GIS platform rear end builds related needs server, writes GIS platform rear end and receives power network resources space magnanimity multivariate data service code;
(5), according to the geographic coordinate information of the relevant device resource received, write grid spatial index method, the data of reception are divided according to fixing graticule mesh, for the object fallen in each graticule mesh sets up index, the target falling into each graticule mesh is correctly put into this graticule mesh, and in retrieving, application Grid Index method judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
(6), power network resources magnanimity multivariate data unifies index and retrieval technique algorithm is write;
(7), realize according to power network resources space multivariate data index, the demand of inquiry, retrieval desired data;
(8) and the power network resources magnanimity space multivariate data information pushing indexed to GIS platform front end container;
(9), GIS front end container shows according to functional requirement;
(10), code compilation and deployment.
5. a kind of space magnanimity multivariate data based on GIS platform according to claim 1 unifies indexing means, it is characterized in that: the method, based on meteorological platform, comprises the following steps:
(1), GIS platform back-end services code is write and deployment;
(2) the displaying GIS platform analytical information that needs, according to GIS meteorology writes GIS platform front end Container Code;
(3), monitoring event is added to GIS platform front end Container Code;
(4), GIS platform rear end builds related needs server, writes GIS platform rear end and receives meteorological spatial magnanimity multivariate data service code;
(5), according to the geographic coordinate information of the relevant device resource received, write grid spatial index method, the data of reception are divided according to fixing graticule mesh, for the object fallen in each graticule mesh sets up index, the target falling into each graticule mesh is correctly put into this graticule mesh, and in retrieving, application Grid Index method judges target place graticule mesh accurately, and accurately select object, to obtain its spatial data and corresponding attribute data;
(6), meteorological magnanimity multivariate data unifies index and retrieval technique algorithm is write;
(7), realize according to meteorological spatial multivariate data index, the demand of inquiry, retrieval desired data;
(8) and the meteorological magnanimity space multivariate data information pushing indexed to GIS platform front end container;
(9), GIS front end container shows according to functional requirement;
(10), code compilation and deployment.
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| CN107133272A (en) * | 2017-04-07 | 2017-09-05 | 南京南瑞集团公司 | A kind of Web ends magnanimity power network resources GIS data dynamic dispatching and rendering intent |
| CN111737375A (en) * | 2019-10-14 | 2020-10-02 | 北部湾大学 | Geohash partition-based regional content space object indexing method |
| CN113010570A (en) * | 2021-03-11 | 2021-06-22 | 南方电网数字电网研究院有限公司 | Power grid equipment vector data query method and device, computer equipment and medium |
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| CN107133272B (en) * | 2017-04-07 | 2019-12-03 | 南京南瑞集团公司 | A kind of end Web magnanimity power network resources GIS data dynamic dispatching and rendering method |
| CN111737375A (en) * | 2019-10-14 | 2020-10-02 | 北部湾大学 | Geohash partition-based regional content space object indexing method |
| CN113010570A (en) * | 2021-03-11 | 2021-06-22 | 南方电网数字电网研究院有限公司 | Power grid equipment vector data query method and device, computer equipment and medium |
| CN113010570B (en) * | 2021-03-11 | 2023-01-20 | 南方电网数字电网研究院有限公司 | Power grid equipment vector data query method and device, computer equipment and medium |
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Address after: 250013 1508, block C, Wanda Plaza, Jingsi Road, Shizhong District, Jinan City, Shandong Province Patentee after: Shandong luruan Digital Technology Co.,Ltd. Address before: 250013 1508, block C, Wanda Plaza, Jingsi Road, Shizhong District, Jinan City, Shandong Province Patentee before: SHANDONG LUNENG SOFTWARE TECHNOLOGY Co.,Ltd. |