A big data all-in-one machine based on electric power application

Abstract

The invention provides a big data integrated machine based on electric power application. The big data integrated machine comprises a cabinet, an external server and one or more transformation equipment measuring point sensors and further comprises one or more lower calculation storage servers arranged at the lower part of the cabinet, a power module, a gigabit management network module, a 10-gigabit optical fiber data network module, one or more upper calculation storage servers, one or more high-performance calculation storage servers, fans and a fan controller, wherein the power module and the gigabit management network module are arranged in the middle of the cabinet; the 10-gigabit optical fiber data network module, the upper calculation storage servers and the high-performance calculation storage servers are arranged at the upper part of the cabinet from top to bottom in sequence; the fans and the fan controller are arranged on the back of the cabinet. The big data integrated machine is high in integration level, high in equipment usability, good in expansibility and stable in system performance.

Description

technical field [0001] The invention relates to the field of monitoring and analyzing applications of power equipment, in particular to a big data all-in-one machine based on power applications. 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 storage and integr...

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. Traditional databases are not only independent of each device, but also require more Large deployment space, there are disadvantages such as difficult deployment and high cost, and cannot meet the general requirements of users

The emergence and development of big data all-in-one machine and its database has become a new development trend. However, there is currently no big data all-in-one machine and its data analysis method specially designed and used for the power industry

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