Cloud service based partial discharge data management platform of power equipment

Abstract

The invention discloses a cloud service based partial discharge data management platform of power equipment. The platform comprises a partial discharge data management system and a cloud server; the partial discharge data management system collects, processes and analyzes partial discharge data, finds out deep information in the partial discharge data, and provides support for user decision; the cloud server further comprises a Web cloud server and a database cloud server; and the Web cloud server is used to deploy the partial discharge data management system, and the database cloud server is used to deploy a database of the partial discharge data management system. The platform of the invention can manage massive partial discharge detection data in a system manner, digs into the rules of the partial discharge data deeply, provides reliable basis for detection, diagnosis and prevention of partial discharge, and makes up the disadvantage of random arrangement in the field of partial discharge data management; and the advantages of cloud service are fully played, forceful support is provided for the partial discharge data management system, and it is ensured that the partial discharge data management system runs stably in high efficiency.

Description

technical field [0001] The invention relates to a set of partial discharge data management system and management method of electric equipment, in particular to a cloud service-based partial discharge data management system and management method. Background technique [0002] In the partial discharge detection of power equipment, for the data detected by the instrument, the inspectors judge the test results based on their own experience, lack of scientific judgment basis, and it is easy to get wrong judgment results. Furthermore, with the accumulation of partial discharge detection data, the amount of data will increase accordingly, which requires a platform for comprehensive management of these data, and then dig out the deep information in these data. [0003] For system deployment, the traditional approach is to deploy on the user's own server. However, due to the limitations of the user server itself, the stability of the system cannot be fully guaranteed. These restric...

AI Technical Summary

Problems solved by technology

[0004] 1. The server performance is limited: the configuration of the server purchased by the user is limited. With the increase of the system data volume, the disk capacity is difficult to maintain

At the same time, the number of system users is gradually increasing, and concurrent access is increasing accordingly, and the performance of the server is difficult to meet the demand

[0005] 2. The environment of the computer room is changeable: In the user's own server room, it is easy to be affected by power and network interruptions, and server downtime is easy to occur

Furthermore, some staff may misuse the situation, causing the system to crash and affecting the use of

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