A spark-based high-performance computing method for mass secondary and tertiary adjustment data results flow

A high-performance computing and data technology, applied in the field of geographic information systems, can solve the problems of not being able to see the underlying data calculation logic, limited policy influence, and authority control, so as to ensure high efficiency and accuracy, and have a large space for independent development , low cost effect
CN112562040BActive Publication Date: 2022-02-01HANGZHOU ZHONGFANG INFORMATION TECH +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HANGZHOU ZHONGFANG INFORMATION TECH
Publication Date
2022-02-01

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Abstract

The invention discloses a Spark-based high-performance calculation method for massive secondary and tertiary adjustment data result flow, and belongs to the field of geographic information systems. The method steps of the present invention include: S1, intersecting the second-adjustment map spot and the third-adjustment map spot; S2, processing the second-adjustment sporadic feature; S3, processing the second-adjustment linear feature; S4. Carry out the flow analysis of the data results of the second adjustment and the third adjustment. The present invention adopts a completely open-source technology stack, realizes the distributed storage of the second and third adjustment data based on the Postgresql database, performs spatial data processing based on the Java GIS toolkit GeoTools, and ensures the efficient calculation of massive vector data based on the distributed computing engine Spark. sex and accuracy.
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Description

Technical field

[0001] The present invention belongs to the field of geographic information systems, and specifically, the present invention relates to a high performance calculation method based on spark-based massive secondary adjustment data. Background technique

[0002] The land is the need to produce, the foundation of survival, the source of ecology, and the natural foundation. The land survey is an important system of my country's legal agreement, which is an important means of comprehensively identifying land resources. The third analysis of the third homeland survey data is to accurately grasp the overall trend of national land use changes. Information management and sharing, meet space planning, supply-side structural reform, land space use control, etc. provide important data support.

[0003] At present, most of the city traffic analysis models are based on ArcGIS applications, but ArcGIS is a commercial software, and the user is limited by the development company's ...

Claims

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