Analysis system and method for power equipment monitoring data

Abstract

The invention provides an analysis system and method for power equipment monitoring data. The analysis system comprises a cabinet, an outer server, an outer management analysis platform, and one or more power transformation equipment measuring point sensors, and further comprises a lower calculation storage server, a power supply module and a kilomega management network module, a 10-GB optical fiber network module, an upper calculation storage server and a high-performance calculation storage server, wherein the outer management analysis platform comprises a big data analysis platform and a power application analysis module; the high-performance calculation storage server comprises one graph processing unit GPU; the graph processing unit GPU is connected through a single power supply so that independent power supply is realized; and the equipment has high integrity, high availability and good expandability, and the system has stable performances and is simple and convenient to operate.

Description

technical field [0001] The invention relates to the application field of monitoring and analysis of electric equipment, in particular to an analysis system and method for monitoring data of electric equipment. Background technique [0002] At present, in order to ensure the safe, stable and efficient operation of the power grid, the state monitoring of substation equipment is usually carried out, and the monitored equipment measurement point data is stored in the real-time database, and the data in the real-time database is periodically transferred to the historical database. Equipment failure early warning and monitoring provide analysis data. In actual monitoring scenarios, due to the large amount of monitoring data of electric power equipment, the rapid expansion of data scale, and the development requirements of comprehensive integrated analysis and processing with the advancement of science and technology, traditional databases can no longer meet the requirements of sto...

AI Technical Summary

Problems solved by technology

In actual monitoring scenarios, due to the large amount of monitoring data of power equipment, the rapid expansion of data scale, and the development requirements of comprehensive integrated analysis and processing with the advancement of science and technology, traditional databases can no longer meet the requirements of storage and integrated analysis and processing.

[0003] With the rapid development of computer technology, the data in various industries has grown rapidly, the amount of data has become larger and larger, the types have become more and more, and the data structure has become more complex. The traditional database is not only independent of each device, but also requires a large There are disadvantages such as difficult deployment and high cost, which cannot meet the general requirements of users

The emergence and development of big data all-in-one machines and their databases has become a new development trend. However, there is currently no analysis system and method for power equipment monitoring data designed and used specifically for the power industry to meet big data processing and storage.

Moreover, the analysis system for power equipment monitoring data integrates IT infrastructure modules such as computing units (high-performance computing units), storage units, communication units, and management units. The power supply is used for power supply, but when setting up a high-performance computing server including GPU, such a power supply method in the prior art often causes voltage instability, and it is possible to burn components due to excessive temperature, and it is also easy to burn GPU. The system is prone to crash and damage if it works for a long time

Images