System for quickly receiving and distributing power transmission and transformation equipment state monitoring big data

Abstract

The present invention relates to a system for quickly receiving and distributing power transmission and transformation equipment state monitoring big data, comprising a master control node, a plurality of data nodes, and a subscription process node, wherein the master control node receives monitoring data from an electric power system, establishes a mapping relation between subscription processes and data priority queues, and comprises a load equalizer, the load equalizer uniformly transmits data required to be distributed to the plurality of data nodes according to the mapping relation; each data node assigns a unique id to each received message, each data priority queue corresponds to one index table in a memory of the data node, each row of the index table corresponds to one message box, the value of the row is the id of the first message in the corresponding message box; and the subscription process node obtains subscribed monitoring data from the data nodes. The system of the present invention designs a distributed message buffer queue which takes data priority into account by means of a burgeoning memory cluster technology, thereby achieving quick collection, caching and effective distribution of monitoring big data.

Description

technical field [0001] The invention belongs to the technical field of power system networked monitoring and information processing, and in particular relates to a large data fast receiving and distributing system for state monitoring of power transmission and transformation equipment. Background technique [0002] In recent years, with the increasingly severe global energy problems, countries all over the world have carried out research work on smart grids. The ultimate goal of the smart grid is to build a panoramic real-time system covering the entire production process of the power system, including power generation, power transmission, power transformation, power distribution, power consumption, and dispatching. The basis for supporting the safe, self-healing, green, strong and reliable operation of the smart grid is the grid panorama real-time data collection, transmission and storage, and rapid analysis. Therefore, with the continuous deepening and advancement of smar...

AI Technical Summary

Problems solved by technology

[0004] 2) There are many data types

[0007] 1) The volume of monitoring big data is large and the data rate is high, which requires real-time data analysis

However, the data arrival speed does not match the real-time processing speed, which will cause data loss; currently, the widely used front-end processors are used as hot backup for data collection and distribution, which is easy to form data congestion and cause a sharp drop in overall throughput , resulting in data loss

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