Electric power Internet of Things big data edge analysis method

Abstract

The embodiment of the invention discloses an electric power Internet of Things big data edge analysis method. The method comprises the steps that a data acquisition system monitors a data source of terminal equipment and summarizes and forwards streaming data to a buffer system; the buffer system buffers the stream data and then sends the stream data to a computing system; the computing system performs block layout optimization on each network node and performs edge computing on the streaming data; and the computing system stores the streaming data after edge processing. According to the method, a topological structure of a network side is improved, an edge structure based on HDFS block layout optimization is constructed, streaming data is calculated in an edge cluster, a result is fed back to Internet of Things equipment, the computing power of the streaming data can be transferred to the edge of the network from a traditional cloud computing center, and on the premise that the throughput requirement is met, the end-to-end delay is effectively reduced.

Description

technical field [0001] The present application relates to the field of Internet of Things and computer technology, and in particular to an edge analysis method for big data of the Internet of Things in electric power. Background technique [0002] Thousands of IoT devices applied to the power industry will generate a large amount of data. For computers, these large amounts of data require IoT applications to have higher big data processing capabilities and faster response times. In the past few years, the solution to this problem was to transfer big data to the cloud for computing. Although this method has realized the computing of IoT applications, as the amount of data increases, the network load will be greatly increased, and the network may be damaged. Cause congestion, and there will be a certain delay in processing. Contents of the invention [0003] In view of this, the embodiment of the present application provides a big data edge analysis method of the electric ...

AI Technical Summary

Problems solved by technology

In the past few years, the solution to this problem was to transfer big data to the cloud for computing. Although this method has realized the computing of IoT applications, as the amount of data increases, the network load will be greatly increased, and the network may be damaged. Cause congestion, and there will be a certain delay in processing

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