Big data server with efficient heat dissipation function

Abstract

The invention relates to the technical field of big data servers, in particular to an efficient-heat-dissipation big data server. The server comprises a box body, a rubber base is fixedly mounted at the bottom in the box body; a server body is fixedly mounted in the middle of the upper surface of the rubber base through a plurality of bolts; heat dissipation devices are fixedly installed in the middles of the two sides of the server body. The heat dissipation device comprises a through opening formed in the middle of one side of the box body and a water cooling mechanism fixedly installed in the middle of one side of the server body. A heat dissipation net is fixedly installed in the middle in the through opening, a dustproof mechanism is fixedly installed on one side of the heat dissipation net, a heat dissipation mechanism is fixedly installed on the other side of the heat dissipation net, the heat dissipation mechanism and the dustproof mechanism are fixedly connected to the box body through a plurality of bolts, and one side of the heat dissipation mechanism and one side of the water cooling mechanism are connected in a bonded mode. The big data server with the efficient heat dissipation function has high heat dissipation performance, and dust prevention can be effectively conducted while efficient heat dissipation is guaranteed.

Description

technical field [0001] The invention relates to the technical field of big data servers, in particular to a big data server with high heat dissipation. Background technique [0002] A server, also called a server, is a device that provides computing services. Since the server needs to respond to and process service requests, generally speaking, the server should have the ability to undertake and guarantee services. The composition of the server includes processors, hard disks, and memory. , system bus, etc., are similar to general-purpose computer architectures, but due to the need to provide highly reliable services, they have higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability. [0003] When the big data server is running at high speed, the electrical components inside the server will generate a lot of heat, but most of the existing technologies directly dissipate heat from the server through cooling fans or fi...

AI Technical Summary

Problems solved by technology

[0003] When the big data server is running at high speed, the electrical components inside the server will generate a lot of heat, but most of the existing technologies directly dissipate heat from the server through cooling fans or fins, the cooling effect is poor, and in the realization of cooling At the same time, it cannot effectively prevent dust, which not only affects the stable operation of the server, but also shortens the service life of electrical components and servers

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