CN104268201B - Space magnanimity multivariate data based on GIS platform unifies indexing means - Google Patents
Space magnanimity multivariate data based on GIS platform unifies indexing means Download PDFInfo
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Abstract
The invention belongs to GIS-Geographic Information System engineering and intelligent Decision Technology field, more particularly to a kind of space magnanimity multivariate data based on GIS platform unifies indexing means, passes through following steps：GIS platform back-end server code compilation and deployment, geographic coordinate information according to the relevant device resource received, write grid spatial index method, its figure layer data is called according to the magnanimity multivariate data of reception, dynamic call figure layer is worked out and deployment, dynamic call, which is carried out, according to the logical process for receiving magnanimity multivariate data arrives figure layer data, GIS platform rear end pushes the magnanimity space multivariate data through unified Grid Index to GIS platform front end, monitor GIS platform event, GIS platform front end receiver data are shown, the retrieval degree of data can be greatly speeded up, substantially reduce inquiry packets and sorting time, GIS platform analysis displaying efficiency can effectively be promoted, completely new solution is provided for the analysis of grid equipment resource management GIS platform.
Description
(I) technical field
The invention belongs to the technical field of geographic information system engineering and intelligent decision making, and particularly relates to a GIS platform-based space massive multi-element data unified indexing method.
(II) background of the invention
With the wide application of mobile internet and internet of things technologies, the amount of spatial multivariate information data is rapidly increased, and the traditional spatial multivariate data index faces new challenges due to the massive data. For example, the number of disk accesses of the conventional in-memory index structure is greatly increased due to the massive multi-element data. The main purpose of establishing a spatial index mechanism is to facilitate the positioning of spatial targets and various retrieval operations. It is necessary to create an index structure of points, lines, oriented space data (face element basic grid filling data) which can make part of it have the function of oriented object.
Massive spatial data exist in a power grid GIS platform in Shandong province, and the data are continuously increased along with the lapse of time, so that the problem of improving the access and query efficiency of the power grid GIS platform is a problem which needs to be solved urgently.
Disclosure of the invention
In order to make up for the defects of the prior art, the invention provides a GIS platform-based space massive multi-element data unified indexing method, which can greatly accelerate the data retrieval degree, remarkably reduce the query grouping and sequencing time, effectively improve the GIS platform analysis and display efficiency and provide a brand-new solution for the GIS platform analysis of power grid equipment resource management.
The invention is realized by the following technical scheme:
a GIS platform-based space mass multivariate data unified indexing method is characterized by comprising the following steps: the method comprises the following steps:
(1) compiling and deploying codes of a rear-end server of the GIS platform, and receiving geographic coordinate data of related equipment resources in real time;
(2) compiling a grid space index method according to the received geographic coordinate information of the related equipment resources, dividing the received data according to fixed grids, establishing indexes for target objects falling into each grid, correctly placing the targets falling into each grid into the grids, accurately judging the grids where the targets are located in the retrieval process, and accurately selecting the target objects to obtain the space data and corresponding attribute data of the target objects;
(3) calling the layer data according to the received massive multivariate data;
(4) the dynamic calling layer is compiled and deployed, and dynamic calling is carried out on the data of the layer according to the logic processing of the received massive multivariate data;
(5) pushing mass spatial multi-element data indexed by the unified grid to the front end of the GIS platform by the rear end of the GIS platform;
(6) monitoring GIS platform events;
(7) and the front end of the GIS platform receives data display.
Preferably, in step (2), the grid is divided into 8 x 8.
Preferably, in step (6), an event monitoring program is written in the GIS platform display container at the front end to monitor data pushed to the GIS platform front end by the GIS platform rear end.
The invention has the beneficial effects that:
(1) massive spatial multivariate data of the GIS platform can be rapidly and efficiently inquired and retrieved, and a grid index is utilized to establish a unified index of power grid resources and meteorological resources for the GIS platform, so that dynamic expansion and change of the GIS platform spatial index are facilitated;
(2) and receiving power grid equipment resource position information at the front end of the GIS platform according to real-time dynamic display, wherein a display interface at the front end of the GIS platform does not need manual operation, monitoring data pushed by the rear end of the GIS platform through events, automatically adding the added power grid resource information into layers with consistent attributes, and displaying the latest data pushed by the GIS platform in real-time dynamic mode.
(IV) description of the drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a flow chart of the present invention;
fig. 2 is a block diagram of a GIS.
(V) detailed description of the preferred embodiments
The attached drawing is an embodiment of the invention. The method for uniformly indexing the spatial massive multivariate data based on the GIS platform comprises the following steps:
(1) compiling and deploying codes of a rear-end server of the GIS platform, and receiving geographic coordinate data of related equipment resources in real time;
(2) compiling a grid space index method according to received geographic coordinate information of related equipment resources, dividing received data according to a fixed grid, wherein the form of the grid is 8 x 8, establishing an index for a target object falling into each grid, correctly placing the target falling into each grid into the grid, accurately judging the grid where the target is positioned in the retrieval process, and accurately selecting the target object to obtain the spatial data and corresponding attribute data of the target object;
(3) calling the layer data according to the received massive multivariate data;
(4) the dynamic calling layer is compiled and deployed, and dynamic calling is carried out on the data of the layer according to the logic processing of the received massive multivariate data;
(5) pushing mass spatial multi-element data indexed by the unified grid to the front end of the GIS platform by the rear end of the GIS platform;
(6) compiling an event monitoring program in a GIS platform display container at the front end to monitor data pushed to the front end of the GIS platform by the rear end of the GIS platform;
(7) and the front end of the GIS platform receives data display.
A GIS platform-based space mass multivariate data unified indexing method further comprises the following steps:
(1) compiling and deploying background service codes of the GIS platform;
(2) displaying GIS platform analysis information according to related requirements and compiling front-end container codes;
(3) adding a monitoring event to a container code at the front end of the GIS platform;
(4) constructing a relevant demand server at the back end of the GIS platform, and compiling a space mass multi-data service code received by the back end of the GIS platform;
(5) compiling a grid space index method according to received geographic coordinate information (such as power grid resources) of related equipment resources, dividing received data according to a fixed grid (8-8 grids), establishing an index for a target object (such as power grid resource equipment and meteorological detection equipment) falling into each grid, correctly putting the target falling into each grid into the grid, accurately judging the grid where the target is positioned by applying the grid index method in a retrieval process, and accurately selecting the target object to obtain the spatial data and corresponding attribute data of the target object;
(6) the requirement of inquiring and retrieving the required data according to the related spatial multivariate data index is realized;
(7) pushing the indexed massive space multi-element data information to a GIS platform front-end container;
(8) the GIS front-end container displays according to the functional requirements;
(9) code compilation and deployment.
The invention discloses a GIS platform-based unified indexing method for spatial massive multivariate data, which comprises the following two embodiments:
the implementation of a spatial massive multivariate data unified indexing method based on a power grid is as follows:
1. compiling and deploying a back-end service code of the GIS platform;
2. compiling GIS platform front-end container codes by displaying GIS platform analysis information according to the requirements of a GIS power grid platform;
3. adding a monitoring event to a GIS platform front-end container code;
4. constructing a relevant demand server at the back end of the GIS platform, and compiling a massive multi-data service code of a power grid resource space at the back end of the GIS platform;
5. according to received geographic coordinate information (such as power grid resources) of related equipment resources, compiling a grid space index method, dividing received data according to a fixed grid (8 x 8 grids), establishing an index for a target object (such as power grid resource equipment and meteorological detection equipment) falling into each grid, correctly placing the target falling into each grid into the grid, accurately judging the grid where the target is positioned by applying the grid index method in a retrieval process, and accurately selecting the target object to obtain spatial data and corresponding attribute data of the target object;
6. compiling a technical algorithm for uniformly indexing and retrieving massive multi-element data (structured and unstructured) of power grid resources;
7. the method realizes the requirements of indexing, inquiring and retrieving the required data according to the power grid resource space multivariate data;
8. pushing the indexed massive space multivariate data information of the power grid resources to a GIS platform front-end container;
9. the GIS front-end container displays according to the functional requirements;
10. code compilation and deployment.
Secondly, the space massive multivariate data unified indexing method based on the weather is realized by the following steps:
1. compiling and deploying a back-end service code of the GIS platform;
2. compiling GIS platform front-end container codes by displaying GIS platform analysis information according to GIS weather requirements;
3. adding a monitoring event to a GIS platform front-end container code;
4. constructing a relevant demand server at the back end of the GIS platform, and compiling a massive multi-data service code of the GIS platform at the back end;
5. according to received geographic coordinate information (such as power grid resources) of related equipment resources, compiling a grid space index method, dividing received data according to a fixed grid (8 x 8 grids), establishing an index for a target object (such as power grid resource equipment and meteorological detection equipment) falling into each grid, correctly placing the target falling into each grid into the grid, accurately judging the grid where the target is positioned by applying the grid index method in a retrieval process, and accurately selecting the target object to obtain spatial data and corresponding attribute data of the target object;
6. compiling a meteorological massive multi-element data (structured and unstructured) unified indexing and retrieval technical algorithm;
7. the method realizes the requirements of indexing, inquiring and retrieving the required data according to the meteorological space multivariate data;
8. pushing the indexed meteorological massive space multivariate data information to a GIS platform front-end container;
9. the GIS front-end container displays according to the functional requirements;
10. code compilation and deployment.
Wherein,
the GIS is an english abbreviation of Geographic Information System (Geographic Information System). The GIS platform generally integrates the functions of map editing, inquiring, positioning, zooming in, zooming out, network analysis, path analysis, equivalence analysis, DEM analysis and the like.
A front-end container: the front-end user interface is made up of components. A container is a special component that can contain other components as shown in fig. 2.
Claims (1)
1. A GIS platform-based space mass multivariate data unified indexing method is characterized by comprising the following steps: the method comprises the following steps:
(1) compiling and deploying codes of a rear-end server of the GIS platform, and receiving geographic coordinate data of related equipment resources in real time;
(2) compiling a grid space index method according to received geographic coordinate information of related equipment resources, dividing the received data by 8 x 8 according to a fixed grid, establishing an index for a target object falling into each grid, correctly placing the target falling into each grid into the grid, accurately judging the grid where the target is positioned in the retrieval process, and accurately selecting the target object to obtain the space data and corresponding attribute data of the target object;
(3) calling the layer data according to the received massive multivariate data;
(4) the dynamic calling layer is compiled and deployed, and dynamic calling is carried out on the data of the layer according to the logic processing of the received massive multivariate data;
(5) pushing mass spatial multi-element data indexed by the unified grid to the front end of the GIS platform by the rear end of the GIS platform;
(6) monitoring GIS platform events: compiling an event monitoring program in a GIS platform display container at the front end to monitor data pushed to the front end of the GIS platform by the rear end of the GIS platform;
(7) the front end of the GIS platform receives data display;
GIS refers to a geographic information system;
the seven-step GIS platform-based space massive multivariate data unified indexing method is applied to power grid resources and comprises the following steps:
(1) compiling and deploying a back-end service code of the GIS platform;
(2) displaying GIS platform analysis information according to the requirements of a GIS power grid platform and compiling GIS platform front-end container codes;
(3) adding a monitoring event to a container code at the front end of the GIS platform;
(4) the back end of the GIS platform constructs a related demand server, and compiles a massive multi-data service code of the GIS platform in the power grid resource space;
(5) compiling a grid space index method according to the received geographic coordinate information of the related equipment resources, dividing the received data according to fixed grids, establishing indexes for target objects falling into each grid, correctly putting the targets falling into each grid into the grids, accurately judging the grids where the targets are positioned by applying the grid index method in the retrieval process, and accurately selecting the target objects to obtain the space data and the corresponding attribute data of the target objects;
(6) compiling a technical algorithm for uniformly indexing and retrieving massive multivariate data of power grid resources;
(7) the requirement for inquiring and retrieving the required data according to the power grid resource space multivariate data index is realized;
(8) pushing the indexed massive space multivariate data information of the power grid resources to a GIS platform front-end container;
(9) the GIS front-end container displays according to the functional requirements;
(10) code compilation and deployment.
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| CN106777365B (en) * | 2017-01-23 | 2017-09-29 | 国网山东省电力公司电力科学研究院 | Project of transmitting and converting electricity environmentally sensitive areas Intelligent Recognition and Forecasting Methodology |
| 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 |
| CN111737375B (en) * | 2019-10-14 | 2022-06-07 | 北部湾大学 | Geohash partition-based regional content space object indexing method |
| 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. |
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