Heat dissipation and dust prevention integrated mechanism of big data server and implementation method

Abstract

The embodiment of the invention discloses a heat dissipation and dust prevention integrated mechanism of a big data server and an implementation method. The heat dissipation and dust prevention integrated mechanism of a big data server comprises a plurality of shock-absorbing chassis bodies and a base formed by combining theshock-absorbing chassis bodies; a plurality of combined cabinet bodies arearranged right above the base; each combined cabinet body comprises an outer cabinet body and an inner cabinet body located in the outer cabinet body. Rectangular holes are formed in the front face of the outer cabinet body. T-shaped side grooves are formed in the other five surfaces of the outer cabinet body; T-shaped blocks are inserted into the T-shaped side grooves. Through T-shaped cavitiesare formed in the T-shaped blocks; T-shaped heat conducting plates are inserted into the T-shaped cavities; T-shaped accommodating cavities for storing cooling liquid are formed in the T-shaped heat conduction plates; an inverted [-shaped heat conduction layer is arranged between the outer cabinet body and the inner cabinet body, the heat conduction layer is fixedly connected with the outer cabinet body, strip-shaped openings are formed in the two sides and the rear side of the heat conduction layer, the heat dissipation effect can be improved, meanwhile, dust and other impurities are prevented from entering equipment, and the performance of the equipment is prevented from being affected.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of big data servers, and in particular to a heat dissipation and dustproof integrated mechanism of a big data server and an implementation method. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, high-growth rate that requires a new processing model to have stronger decision-making power, insight and discovery, and process optimization capabilities. and diverse information assets. Big data requires special techniques to efficiently process large amounts of data that tolerate elapsed time. Technologies for big data include massively parallel processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud Computing platform, Internet and scalable storage system. [0003] The strategic significance of big...

AI Technical Summary

Problems solved by technology

[0007] (1) Big data servers usually have many internal components, large volume, and heavy weight. However, the existing big data servers have less shock-absorbing protection measures, and they cannot be shaken violently during transportation and handling. damage, loss of data, serious loss;

[0008] (2) The existing big data server is usually a whole, and the volume is large, which is not conducive to transportation. At the same time, there are relatively large restrictions on installation and placement, and the shape cannot be adjusted according to the specific environment, which is not conducive to the use of the device;

[0009] (3) When the big data server is running, it will generate a lot of heat. Therefore, heat dissipation windows are usually installed on the big data server. Wait to enter the device, run the performance of the device

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