METHOD FOR CONSTRUCTING BIG DATA TECHNOLOGY-BASED POWER TRANSACTION INDEX SYSTEM

摘要

The present invention relates to the field of electric power transaction, and provided thereby are a method for constructing a big data technology-based power transaction index system. The method mainly comprises the steps of: 1, acquiring data; 2, constructing an index system: the construction of the index system is mainly on the basis of a cloud gravity center evaluation method for solving the problem of variable conversion, and then data analysis is carried out by means of the high-concurrency distributed computing capability of Spark memory access; 3, calculating indexes: after index configuration, the weight of each index is determined by means of an objective weighting method, and then the weighted deviation degree of each index is calculated by means of a cloud gravity center evaluation method; and after the Spark calculation, a final evaluation result of each index is saved into a hadoop distributed file system (HDFS) database; and 4, displaying the indexes. The constructed index system is a comprehensive system composed of a series of mutually linked indexes, and the conditions of various aspects of research objects may be effectively reflected according to the researched objects.