Cloud-side collaborative transformer monitoring method, device and equipment, readable storage medium and program product

Abstract

The invention relates to a cloud-side collaborative transformer monitoring method, device and equipment, a readable storage medium and a program product, relates to the technical field of power equipment state monitoring and intelligent diagnosis, and can efficiently and accurately identify transformer faults. The method comprises the following steps: according to multi-source sensing data, acquiring a multi-parameter feature vector comprising electrical features, mechanical features and thermal features of a transformer; inputting the multi-parameter feature vector into a first fault recognition model to obtain a first fault recognition result of the transformer output by the first fault recognition model and the confidence of the first fault recognition result; if the confidence coefficient is greater than or equal to a preset threshold value, obtaining a transformer monitoring result according to the first fault identification result; if the confidence coefficient is smaller than a preset threshold value, the multi-parameter feature vector is sent to the cloud to trigger the cloud to input the multi-parameter feature vector into a second fault recognition model, a second fault recognition result output by the second fault recognition model is obtained, and the second fault recognition result is returned to the edge side.

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