A transformer monitoring system based on intelligent technology

CN116190077BActive Publication Date: 2026-07-03JIANGSU HENGTE GRP VALTTE ELECTRIC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU HENGTE GRP VALTTE ELECTRIC
Filing Date
2023-03-15
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing transformer oil monitoring systems experience reduced cooling efficiency when cooling components are subjected to vibration or oil quality issues, affecting the normal operation and insulation of the transformer.

Method used

The transformer monitoring system, which adopts intelligent technology, achieves both temperature monitoring and cooling operation through the cooperation of data collection unit and cooling unit. It uses anomaly judgment unit to analyze the cause of cooling unit abnormalities and take targeted measures. Combined with overload condition judgment, it avoids unnecessary protection operations and improves the installation structure of impeller assembly to reduce vibration impact.

Benefits of technology

It achieves normal cooling of the transformer oil, avoids unnecessary protection operations, ensures the safe use of the transformer, and provides intelligent fault analysis and management.

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Abstract

This invention provides a transformer monitoring system based on intelligent technology for application in the field of transformer monitoring. It includes a monitoring and management platform, a transformer terminal, a data collection unit, a cooling unit, an anomaly judgment unit, and an anomaly warning unit. During the monitoring of the transformer's internal oil, the data collection unit and the cooling unit work together to achieve simultaneous temperature monitoring and cooling operation. When an anomaly occurs in cooling efficiency, the data collected by the anomaly judgment unit and the data collection unit are used to analyze and calculate the factors affecting the cooling unit within the transformer, thereby determining the specific type of anomaly. Targeted anomaly handling measures are then taken, and the anomaly information is fed back to the monitoring and management platform. This achieves intelligent fault analysis and centralized management, ensuring the normal use of the transformer oil inside the transformer terminal and thus guaranteeing the normal and safe operation of the transformer.
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