A Data Security Assessment Method and System Based on Clustering Processing

By calculating the correlation between power system buses and using a graphical model, combined with adaptive genetic operations to optimize the partitioning of abnormal regions, the accuracy and real-time issues of power system data security assessment in existing technologies are solved, achieving more efficient fault detection and early warning.

CN120654256BActive Publication Date: 2025-11-14STATE GRID GANSU ELECTRIC POWER CORP +1
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Patent Information

Application Number
CN202511164257.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-20
Publication Date
2025-11-14
Estimated Expiration
2045-08-20

AI Technical Summary

Technical Problem

Existing data security assessment methods cannot adapt to changes in the operating status and environmental conditions of the power system in a timely manner, resulting in poor accuracy of security assessments. Furthermore, they have low precision in detecting fault areas, a high false alarm rate, and cannot reflect the operating status of the power system in real time, leading to poor security assessment results.

Method used

By calculating the correlation between power system buses, a graph model is constructed, dynamic edge weight coefficients and environmental change factors are introduced, and adaptive genetic operations are combined to optimize the partitioning of abnormal regions, dynamically update the weight matrix, and use adaptive projection metrics to evaluate abnormal situations, thereby improving detection accuracy and real-time performance.

Benefits of technology

It improves the accuracy and real-time performance of data security assessments, enabling timely identification of critical paths and potential fault points, reducing misjudgments, and enhancing adaptability to complex power system environments.

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Abstract

This invention discloses a data security assessment method and system based on clustering processing. The method includes data acquisition, data coherence detection, clustering processing, and data security assessment. This invention belongs to the field of data processing, specifically referring to a data security assessment method and system based on clustering processing. This scheme calculates the correlation between each pair of buses and introduces a graph model to represent the power network, which helps to identify critical paths and potential fault points. Adaptive genetic operations further optimize the partitioning of the initial anomaly region, dynamically updating the weight matrix based on real-time data and the influence of external factors, improving the ability to cope with complex and changing power system environments. Anomalies in the detected region are accurately assessed based on adaptive projection metrics, thereby improving the data security assessment effect.
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