System for realizing real-time streaming processing based on monitoring big data of primary equipment of transformer substation

Abstract

The invention relates to a system for realizing real-time streaming processing based on monitoring big data of primary equipment of a transformer substation. The system comprises a monitoring subsystem which is used for collecting detection data; a data distribution module, which is deployed in a communication server and is used for carrying out distribution processing on the real-time streaming data of the system; a data analysis module, which is deployed in an application server and is used for carrying out index calculation on various detection units and pushing results to a real-time calculation result caching module; the real-time calculation result caching module, which is deployed in the application server and used for caching recent 24-hour index data; and a substation monitoring information subsystem, which is used for processing the data. Through the system for realizing real-time streaming processing based on the monitoring big data of the primary equipment of the transformer substation, server system resources can be mutually shared; calculation of balanced load on a plurality of computers is realized; and the system can carry out fast, efficient and low-delay processing on the monitoring big data of the primary equipment, and realizes storage and calculation requirements of mass data.

Description

Technical field [0001] The present invention relates to the field of electric power, in particular to the field of substation data monitoring, and specifically refers to a system that realizes real-time streaming processing for monitoring big data of primary equipment in a substation. Background technique [0002] In the power industry, in order to ensure the safe operation of the power system, it is necessary to effectively monitor the important unit data of the primary equipment of the substation, and finally realize the digitization, platformization and networking of the entire substation, and complete the standardization requirements of data information sharing. Therefore, which method is adopted to realize the processing, monitoring and analysis of large quantities of substation data is particularly important. [0003] The current data monitoring of the primary equipment of the substation mainly relies on the traditional software architecture, that is, the communication protoc...

AI Technical Summary

Problems solved by technology

[0005] 1. The uploaded data in large batches cannot be calculated and processed in time, which may easily cause data loss and defects. The main bottleneck is insufficient support for the processing of massive data;

[0006] 2. It cannot support distributed system deployment, and cannot upgrade the system by adding servers;

[0007] 3 The analysis results of the collected data cannot be fed back in real time, indicating that the data is not complete;

[0008] 4 The existing relational data oracle database (or the domestic Dameng / Jincang data) has poor read and write operability for large batches of data

Images