A cooling cabinet for big data all-in-one machine based on power application

Abstract

The present invention provides a large data integrated machine heat radiation cabinet based on a power application. The cabinet comprises a cabinet body, an external server, one or more substation equipment measuring point sensors, one or more lower calculation storage servers arranged at the lower part of the cabinet body, and a power supply module and a Gigabit management network module arranged in the middle part of the cabinet body. The cabinet also comprises a 10-Gigabit fiber data network module, one or more upper part calculation storage servers and one or more high performance calculation storage servers which are orderly arranged at the upper part of the cabinet from top to bottom. The cabinet also comprises a ventilation window, a fan window and a fan controller which are arranged at the middle part of the back side of the cabinet and also comprises a back plate arranged at the back side of the cabinet body and a side plate arranged at the side of the cabinet body. The large data integrated machine heat radiation cabinet has the advantages of high integration, high equipment availability, good scalability, good scattering effect, and stable system performance.

Description

technical field [0001] The invention relates to the field of monitoring and analyzing applications of electric power equipment, in particular to a heat dissipation cabinet for big data integrated machines based on electric 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 lo...

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

[0004] In addition, because the big data all-in-one machine based on power applications integrates IT infrastructure modules such as computing units (high-performance computing storage units), storage units, communication units, and management units, its overall operating temperature is high, and it is easy to crash after long-term work. And it is possible to burn the components due to excessive temperature, causing the all-in-one machine to be damaged

Images