Power asset risk perception method and device based on multi-dimensional time sequence and large model, and medium

By collecting asset fingerprints from the power system and matching them with a standard component knowledge base, a standardized ledger database and a structured intelligence database are constructed. Combined with vectorized computing and a process engine, this solves the problems of insufficient dynamic perception and closed-loop management in power system risk awareness, and improves asset location efficiency and risk response speed.

CN121744331APending Publication Date: 2026-03-27国网宁夏电力有限公司信息通信公司
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Patent Information

Application Number
CN202511911383.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-17
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing risk perception technologies in the power system lack the ability to dynamically perceive the evolution of threats over time, and cannot effectively identify long-term trends, periodic fluctuations, and short-term mutations of threats. Furthermore, the assessment results do not closely match the actual risks, asset visibility is insufficient, intelligence processing efficiency is low, and it is difficult to form a closed loop for risk management.

Method used

By collecting asset fingerprints from the power information system and matching them with a standard component knowledge base, a standardized asset fingerprint ledger is formed; vulnerability features are extracted from multi-source unstructured risk warning information to build a structured risk intelligence information database; asset features and vulnerability-affected component features are vectorized, similarity is calculated, and an asset risk list is generated; and a process engine drives the risk handling process to achieve full closed-loop management.

Benefits of technology

It improved the efficiency of asset location, reduced labor costs, ensured the timeliness and accuracy of intelligence processing, shortened the risk response cycle, improved the alignment between assessment results and actual operational risks, and achieved automatic correlation between threat warnings and asset information.

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Abstract

The invention relates to the technical field of electric power system risk perception, in particular to an electric power asset risk perception method and device based on a multi-dimensional time sequence and a large model and a medium, and the method comprises the steps: collecting asset fingerprints of an electric power information system, matching the asset fingerprints with a standard component knowledge base, and standardizing the asset fingerprints; obtaining a standardized asset fingerprint ledger library; extracting vulnerability feature information from the multi-source unstructured risk early warning information to obtain a structured risk intelligence information base; performing vectorization representation on asset features in the standardized asset fingerprint machine account library and vulnerability influence component features in the risk information library, calculating vector similarity between the asset features and the vulnerability influence component features, performing feature matching according to the vector similarity, positioning affected assets, and generating an asset risk list; and driving a risk disposal process through a process engine based on the asset risk list. The asset risk perception efficiency is improved, and the response period is shortened.
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