Transformer oil level meter remote reading method, device and equipment and storage medium thereof

By identifying and extracting reading information from transformer oil level gauges on the edge computing device side of the substation, and using semantic coding technology, the problem of low accuracy in remote reading and copying of transformer oil level gauges is solved, achieving reliable remote reading and copying with high accuracy, low latency, and low bandwidth dependence.

CN122339635APending Publication Date: 2026-07-03STATE GRID ZHEJIANG ELECTRIC POWER CO LTD NINGBO POWER SUPPLY CO

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD NINGBO POWER SUPPLY CO
Filing Date
2026-06-02
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The accuracy of remote reading and recording of transformer oil level gauges in the existing technology is low, mainly because video compression causes the scale and digital edges of the oil level gauge to be blurred, which affects the accuracy of reading and recording.

Method used

On the edge computing device side of the substation, the transformer oil level gauge area in the captured video is identified and the reading information is extracted. Semantic coding technology is used to generate the first bit stream data transmission from the high-confidence reading information, and local high-fidelity coding is performed in the low-confidence scenario to ensure that the monitoring center receives high-fidelity oil level readings.

Benefits of technology

It significantly improves the accuracy of remote reading of transformer oil level gauges, achieving reliable remote reading with high precision, low latency, and low bandwidth dependence, avoiding the destruction of key details by video compression, and ensuring the accuracy of oil level readings.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a method, device, equipment, and storage medium for remote reading and copying of transformer oil level gauges, relating to the field of data transmission technology. This method completes the positioning and reading analysis of the oil level gauge at the edge computing device of the substation, and performs lightweight semantic encoding on high-confidence reading information, transmitting only the first bitstream data containing the reading information, reducing transmission bandwidth requirements. For low-confidence scenarios, sufficient visual details are preserved through local high-fidelity encoding for verification or secondary identification by the monitoring center. This significantly improves the remote identification accuracy of oil level readings under limited communication resources, fundamentally avoiding the destruction of key details by video compression, ensuring high fidelity of the oil level readings received by the monitoring center. It achieves reliable remote reading and copying of transformer oil level status with high precision, low latency, and low bandwidth dependence, thereby improving the accuracy of remote reading and copying of transformer oil level gauges.
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