Artificial intelligence partial discharge monitoring and distinguishing system and method based on cloud technology

Abstract

The invention provides an artificial intelligence partial discharge real-time monitoring and distinguishing method based on a cloud technology. The method comprises the following steps: S1, detectinga partial discharge signal on a cable line in real time through a partial discharge sensor; s2, a partial discharge on-site signal processing device acquires a partial discharge signal and processes the partial discharge signal to form intermediate data; s3, obtaining the intermediate data through a cloud server, carrying out the safety processing to form test data, and then carrying out the storage analysis; and S4, acquiring test data through the intelligent terminal and displaying the test data. The invention further provides an artificial intelligence partial discharge monitoring and distinguishing system based on the cloud technology utilizing the method. The system comprises the partial discharge sensor, the partial discharge on-site signal processing device, the cloud server and theintelligent terminal. According to the invention, sharing of test data is realized based on a cloud technology and a wireless transmission technology, partial discharge test experts in different areas can remotely support and judge partial discharge at any time, and the requirement on test personnel is not high.

Description

technical field [0001] The present invention relates to the technical field of partial discharge testing, and more specifically, to an artificial intelligence partial discharge monitoring and discrimination system and method based on cloud technology. Background technique [0002] During partial discharge testing, due to the wide distribution of measuring points on cable lines, mobile detection methods are often required, and the workload of the staff is relatively large. Also, due to the lack of partial discharge test experts and the difficulty of training partial discharge testers etc., resulting in a shortage of professional partial discharge testers. At the same time, the test time at the test site is limited, which often requires the tester's instantaneous response and timely judgment, and the lack of professional knowledge of the tester will lead to a decline in test quality and the possibility of misjudgment. It is also difficult to transmit the huge PD data (2000Mbps...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problem described in the background technology above that the existing partial discharge test data is relatively large, it cannot transmit the large detection data to the background in time to share the detection data with testers or experts, and provides a manual based on cloud technology. Intelligent Partial Discharge Monitoring and Discrimination System and Method

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