Mine ecological restoration management method and system based on multi-modal
Through multimodal data analysis and model building, the problem of discontinuous restoration plans in mine ecological restoration was solved, achieving efficient and precise ecological restoration management and improving vegetation restoration effect and operational efficiency.
Patent Information
- Application Number
- CN202511087278.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-05
- Publication Date
- 2026-03-03
- Estimated Expiration
- 2045-08-05
AI Technical Summary
Existing technologies struggle to accurately identify differences in the response structure at the edge of damaged areas during mine ecological restoration, leading to discontinuous distribution of restoration plans, a lack of dynamic analysis, and increased control costs and response delays.
By using graph neural networks and Markov models based on multimodal data, we can construct boundary disturbance intensity distribution maps, intervention priority structural path sets, stable intervention behavior sequence clusters, and key action group distribution maps to achieve precise intervention and dynamic monitoring of the mine ecosystem.
It improved the scientific nature and efficiency of the restoration plan, shortened the intervention time, increased the vegetation restoration index, and enhanced the operational precision and system support capabilities.
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Figure CN120598205B_ABST
Abstract
Citation Information
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