Power distribution network big data zoning processing method based on Spark calculation engine
A big data processing and data partitioning technology, which is applied in the direction of electric digital data processing, data processing applications, special data processing applications, etc., can solve the problems of data retention in distribution network, etc., and achieve the effect of improving work efficiency and fast and accurate calculation
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[0038] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0039] A method for processing big data partitions of distribution network based on Spark computing engine, comprising the following steps:
[0040] Step 1: Build a distribution network big data processing platform, and use the power consumption information collection system and PMS as data sources to analyze urban loads;
[0041] The distribution network big data processing platform, such as figure 1As shown, using Linux Ubuntu as the operating system, based on Hadoop and Spark framework, is divided into data storage layer, data management layer and data calculation layer; Discrete storage and query; the data management layer uses the Hive component of Hadoop to build a data table for the load data, including distribution transformer ID, date, distribution transformer load data, distribution transformer longitude, and distribution transformer latitude; Convert the...
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