Big data server remote intelligent monitoring and maintenance system based on 5G

Abstract

The invention discloses a big data server remote intelligent monitoring and maintenance system based on 5G. The big data server remote intelligent monitoring and maintenance system comprises a serverstorage unit, a position information acquisition unit, a depth information acquisition unit, a maintenance unit, a 5G communication unit and a maintenance platform; according to the system, a maintenance attendance task can be automatically generated through the identity information, the position information and the depth information of the server storage unit returned by the 5G communication unit, the next server maintenance date K and the next server maintenance task information, the server storage unit needing to be maintained can be determined according to the identity information in the maintenance attendance task, maintenance errors are avoided, the server storage unit can be quickly found according to the depth information and the position information in the maintenance attendance task, long-time searching and positioning are avoided, the maintenance efficiency is improved, accurate maintenance can be carried out according to the maintenance date in the maintenance attendance task, and wrong maintenance or maintenance forgetting is avoided.

Description

technical field [0001] The invention relates to the field of server maintenance, in particular to a 5G-based remote intelligent monitoring and maintenance system for big data servers. Background technique [0002] A server is a type of computer that runs faster, loads more heavily, and is more expensive than a normal computer. The server provides computing or application services for other clients (such as PCs, smart phones, ATMs and other terminals or even large-scale equipment such as train systems) in the network. The server has high-speed CPU computing capability, long-term reliable operation, powerful I / O external data throughput and better scalability. [0003] With the advancement and development of science and technology, people are generating all kinds of data every day, and these data need to be stored and processed, which requires a large number of servers to participate. Therefore, major Internet companies have designed corresponding servers There are a large n...

AI Technical Summary

Problems solved by technology

[0005] 2 High energy consumption, the above-mentioned high heat requires a lot of heat dissipation equipment, such as heat dissipation equipment, air conditioning system, water cooling system, etc. These equipment and systems consume a lot of energy on the one hand, and increase the cost on the other hand

[0006] 3 High latency, there is a corresponding delay in reading server data

[0011] When the server is stored on the seabed, regular maintenance is required. The traditional maintenance method is that the maintenance team performs regular maintenance according to the maintenance table. Manual supervision and maintenance are easy to forget to maintain, and there are multiple server storage devices in the seabed, each with different locations and depths. Each maintenance team needs to spend a lot of time on the sea to find the location and depth of the server unit that needs to be maintained, resulting in low maintenance efficiency and easy to cause maintenance confusion and maintenance errors

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