Research on Power and Energy Big Data Acquisition Methods Based on Multi-Level Index Cluster Equilibrium
Electric energy is the most widely used energy in people's production and life,but it is often in a continuous shortage.The data generated by electric power is very large,and the method to accurately query and collect the demand data in electric energy big data is very important for the rational management and application of electric energy.This paper proposes a electric energy big data acquisition method based on multi-level index cluster equilibrium.The storage situation of electric energy big data(electric power data table and metadata table)is thoroughly analyzed,and a multi-level index cluster;Using a targeted task allocation algorithm is built to balance multi-level index clusters and determine the task allocation results for each cluster node;Based on the task allocation results of cluster nodes,the multi-level index cluster is configured and started;Based on the demand for querying electric energy,the query data is cached and the collection of electric power big data is ultimately achieved.The experimental data show that compared with the comparison method,the index construction time and demand data query delay obtained by the proposed method are shorter,the shortest index construction time is 3 s,the shortest query delay is 12.03 s,and the data acquisition quality parameter is larger,with a maximum value of 9.6,which fully proves the feasibility of the proposed method.
index clusterelectric energymulti level indexbig datacluster equilibriumcollection
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