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A method to realize rapid processing and retrieval of spatial big data

A data and space technology, applied in the field of realizing the rapid processing of spatial big data and the retrieval of the above image, to achieve the effects of high practicability and intelligence, fast retrieval, and great practical value

Active Publication Date: 2018-05-04
杭州中奥科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solve the problem of spatial analysis efficiency of large-scale spatial data

Method used

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  • A method to realize rapid processing and retrieval of spatial big data
  • A method to realize rapid processing and retrieval of spatial big data
  • A method to realize rapid processing and retrieval of spatial big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] like figure 1 Shown, the present invention comprises the following steps:

[0050] S1. Establish index tables and spatial maps;

[0051] S2. From the public security internal database, respectively import the elements identical to the field of the index table into the field in the index table;

[0052] S21. Periodically back up the data;

[0053] S3. Use SOLR to index clusters and search according to query conditions:

[0054] S31. Perform word segmentation on the query condition to determine the data form of the query condition;

[0055] S311. Establishing a thesaurus as a basis for word segmentation of query conditions;

[0056] S312. Split the query condition by words;

[0057] S313. Match the split words with the words in the thesaurus, the words that can be matched are word segmentation results, and those that cannot be matched are discarded;

[0058] S32. If the query condition is point-shaped data, the following steps are included:

[0059] S321. Find the ...

Embodiment 2

[0083] This embodiment is similar to Embodiment 1, the only difference is that the retrieval condition is data in line form:

[0084] If the query condition is data in the form of a line, such as "Wen'er Road", it can be determined as the retrieval condition of line form after matching in the thesaurus, then first draw the route of Wen'er Road on the spatial map, and use 50 m is the search range; secondly, take each coordinate point on Wen'er Road as the center of the circle, and use 50 meters as the radius to search the existing cameras in the formed circular range, and traverse all the cameras; then, screen out the coordinate points that fall within The cameras within the monitoring range of the cameras; finally, remove the duplicated cameras with the selected camera, and obtain the latitude and longitude information of all the cameras on Wen'er Road that can be monitored.

Embodiment 3

[0086] This embodiment is similar to Embodiment 1, the only difference is that the retrieval condition is the data of surface form:

[0087] If the query condition is the data of the surface shape, such as "West Lake District", it can be determined as the retrieval condition of the surface shape after matching the thesaurus, then firstly draw the surface area of ​​the West Lake District on the spatial map, and use 50 meters is the search range; secondly, take each coordinate point on the West Lake District as the center of the circle and 50 meters as the radius, search for existing cameras in the formed circular range, and traverse all cameras; then, screen out the coordinate points that fall on the camera Cameras within the monitoring range; finally, remove duplicate cameras with the selected camera, and obtain the latitude and longitude information of all cameras in the West Lake District that can be monitored.

[0088] Compared with the prior art, the present invention has ...

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Abstract

The present invention relates to a big spatial data quick processing and retrieval implementation method. According to the method provided by the present invention, through a big data processing frame, parallel computing is implemented and an index is quickly created; and through an SOLR cluster, a caching technique and the like, it is possible to achieve efficient read / write. By testing, a second-level response can be achieved in fuzzy search and data analysis, so that real-time processing velocity of spatial data with the volume of ten millions is greatly increased.

Description

technical field [0001] The invention relates to the field of large spatial data processing, in particular to a method for realizing fast processing of large spatial data and retrieving the above image. Background technique [0002] In today's information age, in the field of informatization and intelligence, we find that the amount of information we encounter in our daily life is extremely large, and geospatial data including spatial positioning information is also used in many fields, and spatial data is constantly expanding and huge. development in the direction of transformation. With the development of geographic information system (GIS) and the increasing demand for social informationization, geographic information system software will inevitably handle large-scale data in an increasingly large range, and efficient storage, retrieval, and spatial analysis operations of massive spatial data It has always been a hot and difficult issue in the research of GIS industry. I...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/29
Inventor 沈贝伦郑申俊骆锴田甜
Owner 杭州中奥科技有限公司
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