A satellite-ground system operation and maintenance method and system based on size model cooperation
By adopting a space-ground system operation and maintenance method based on big-small model collaboration, the problems of data processing bottlenecks and low knowledge reuse efficiency in traditional operation and maintenance models have been solved, realizing efficient and intelligent operation and maintenance of space-ground systems, and improving fault response capabilities and system reliability.
Patent Information
- Application Number
- CN202511798688.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-02
- Publication Date
- 2026-06-02
- Estimated Expiration
- 2045-12-02
AI Technical Summary
Traditional human-led operation and maintenance models for satellite-ground systems struggle to handle massive amounts of heterogeneous data, lack dynamic perception and adaptive capabilities, resulting in insufficient timeliness of fault identification and location, difficulty in quickly reusing expert knowledge, and insufficient robustness of system operation and maintenance, thus failing to meet the business requirements of high timeliness and high reliability.
We adopt a space-ground system operation and maintenance approach based on large and small model collaboration. Through multi-level model linkage, we achieve intelligent management and control of the entire process, including data cleaning, feature extraction, knowledge graph construction, anomaly detection, trend prediction, root cause analysis and health assessment, and generate decision reports. We use a variety of technical means such as sliding window statistics, kernel principal component analysis, fast Fourier transform and attention weight reverse matching for data processing and analysis.
It enables accurate perception of complex hidden faults, forward prediction of system status, and rapid location of problem roots, improving operation and maintenance efficiency, reducing reliance on expert experience, shortening fault response and handling time, and forming a system with continuous evolution capabilities.
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Abstract
Citation Information
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