Association method and device for physical assets and logical resources and electronic equipment

By using smart contracts and graph neural network models to construct heterogeneous information graphs in telecommunications networks, the problem of physical assets and logical resources belonging to different management systems has been solved, realizing automatic association and trusted evidence storage, and improving operation and maintenance efficiency and decision-making quality.

CN122420141APending Publication Date: 2026-07-17CHINA UNITED NETWORK COMM GRP CO LTD
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Patent Information

Application Number
CN202610574604.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the network infrastructure management of telecommunications operators, physical assets and logical resources belong to different management systems and lack an automatic and reliable association mapping mechanism, resulting in low operation and maintenance efficiency, difficulty in cost control, and low decision-making quality.

Method used

By acquiring physical asset and logical resource data, standardizing it, and then using smart contracts deployed on a permissioned blockchain for business rule verification and consensus notarization, a heterogeneous information graph of the telecommunications network is constructed using a graph neural network model. The association confidence is calculated, and association recommendation results and anomaly alarms are generated, thereby realizing automatic association and trusted notarization of physical assets and logical resources.

Benefits of technology

It enables automatic association between physical assets and logical resources, ensuring the reliability and full traceability of the association, solving the problems of low efficiency and lagging association maintenance in traditional methods, and providing an absolutely reliable data foundation and continuous self-optimization capabilities.

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Abstract

The invention discloses a physical asset and logic resource association method and device and electronic equipment. The method comprises the steps that physical asset data and logic resource data are acquired and subjected to standardization processing; business rule verification and consensus evidence storage are carried out through the intelligent contract pair, and asset digital twin is generated; carrying out representation learning by using a graph neural network model, and then calculating association confidence between the physical asset nodes and the logic resource nodes; generating an associated recommendation result and an abnormal alarm and outputting the result to the user terminal; receiving a confirmation instruction for the associated recommendation result and a correction instruction for the abnormal alarm, triggering the smart contract to perform anchoring evidence storage, and generating an evidence storage record; and collecting the confirmation instruction, the correction instruction and the evidence storage record as feedback data, and performing incremental learning or fine tuning on the graph neural network model by using the feedback data to form a model optimization closed loop. The method can effectively solve the operation and maintenance pain points of account and reality inconsistency, correlation maintenance lag and difficulty in tracing.
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