A main transformer three-phase comparison analysis system and method

By using multi-source data acquisition and preprocessing, a dual-dimensional analysis model, and personalized operation and maintenance strategy recommendations, the problems of single analysis dimensions and reliance on manual analysis in the three-phase status analysis of the main transformer have been solved. This has enabled multi-dimensional correlation and comparison of the three-phase status of the main transformer and personalized operation and maintenance strategy recommendations, thereby improving the efficiency and accuracy of the assessment.

CN122178574APending Publication Date: 2026-06-09XIAN POWER TRANSMISSION & TRANSFORMATION PROJECT ENVIRONMENTAL IMPACT CONTROL TECHN CENT CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN POWER TRANSMISSION & TRANSFORMATION PROJECT ENVIRONMENTAL IMPACT CONTROL TECHN CENT CO LTD
Filing Date
2026-01-30
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies for analyzing the three-phase status of main transformers have limited analytical dimensions, rigid recommendation strategies, and high reliance on manual intervention, making it difficult to achieve batch, efficient status assessments and intelligent recommendations for operation and maintenance strategies.

Method used

A multi-source data acquisition and preprocessing module is adopted, and a two-dimensional analysis model with vertical and horizontal comparison is constructed through a three-phase feature multi-dimensional comparison module. Combined with an anomaly level intelligent judgment module and a personalized operation and maintenance strategy recommendation module, multi-parameter correlation comparison and personalized operation and maintenance strategy recommendation are realized.

Benefits of technology

It enables multi-dimensional correlation and comparison of the three-phase status of the main transformer, reduces human influence, provides personalized operation and maintenance strategies, improves assessment efficiency and accuracy, and adapts to main transformer scenarios with different capacity and voltage levels.

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Abstract

This invention proposes a three-phase comparative analysis system and method for a main transformer. The system includes a multi-source data acquisition and preprocessing module, a three-phase characteristic multi-dimensional comparison module, an anomaly level intelligent judgment module, and a personalized operation and maintenance strategy recommendation module. The system's implementation involves: first, the multi-source data acquisition and preprocessing module collects and fuses the three-phase electrical parameters of the main transformer from multiple sources; then, the three-phase characteristic multi-dimensional comparison module constructs a dual-dimensional analysis model combining vertical and horizontal comparisons to quantify the state differences of the three-phase electrical parameters; the anomaly level intelligent judgment module quantifies the degree of difference in three-phase parameters and associated risks; and finally, a two-dimensional matrix combining comprehensive difference values ​​and parameter risk levels is used to classify four anomaly levels, enabling data-driven decision-making. Finally, the personalized operation and maintenance strategy recommendation module recommends the optimal operation and maintenance strategy based on the anomaly level, main transformer attributes, operation and maintenance resources, and a recommendation rule base combined with a machine learning model.
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