An intelligent transformer device based on big data

Abstract

The invention discloses an intelligent transformer device based on big data, which includes a cloud server, a transformer body, and an aging detector arranged on each component inside the transformer body in one-to-one correspondence. The aging detector detects the condition of the internal components of the transformer body. The cloud server is set in the power supply bureau, and communicates with the power system in the power supply bureau, and the aging detector communicates with the cloud server. The intelligent transformer device based on big data of the present invention can effectively collect the aging conditions of the internal components of the transformer body through the setting of the cloud server and the aging detector, thus avoiding the problems caused by the internal components of the transformer body in the prior art. The problem of operational failure due to severe aging.

Description

technical field [0001] The invention relates to a transformer, more specifically to an intelligent transformer device based on big data. Background technique [0002] Transformers are widely used in power supply systems. There are large-scale substations for power transformation throughout the city, and small street transformers for transforming and supplying power to various areas of the city. Therefore, the operating status of each transformer is obvious. It is very important, so people need to regularly maintain each transformer to ensure that each transformer can be in normal working condition. [0003] During the use of existing transformers, various components of the transformer will often age due to various reasons. If a certain component is seriously aged, it will easily lead to a series of damage to the transformer. Therefore, in In the process of daily maintenance, it is necessary to replace the aging part of the device when the device is aging to a certain extent...

AI Technical Summary

Problems solved by technology

[0003] During the use of existing transformers, various components of the transformer will often age due to various reasons. If a certain component is seriously aged, it will easily lead to a series of damage to the transformer. Therefore, in In the process of daily maintenance, it is necessary to replace the aging part of the device when the device is aging to a certain extent, so as to avoid the failure of the entire transformer and other components of the transformer when the aging is serious and fails later. The problem of damage caused the overall damage of the transformer and caused huge losses. The existing method of maintenance and detection of transformers is realized by manual inspection. When checking whether the transformer components are aging, maintenance personnel need to check Each component of the transformer is inspected one by one, which will greatly increase the transformer maintenance and inspection process, making the aging and maintenance of the transformer components slow, and it is easy to cause serious aging of the components caused by untimely maintenance, which will cause the transformer to completely fail.

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