一种基于时空演化的矿区重金属监测方法及系统
By integrating multi-source data and using intelligent analysis, the problem of insufficient accuracy and comprehensiveness in heavy metal monitoring in existing technologies has been solved. This has enabled precise monitoring and dynamic trend prediction of heavy metals in mining areas, and generated a spatiotemporal evolution map of heavy metals, providing a reliable basis for environmental governance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CENT SOUTH UNIV
- Filing Date
- 2025-05-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing heavy metal monitoring technologies lack accuracy and comprehensiveness in data acquisition, model building, and spatiotemporal analysis, making it difficult to accurately reflect the concentration and distribution of heavy metals in mining areas, and failing to effectively consider the impact of environmental factors.
By fusing multi-source data and using intelligent analysis, time-series hyperspectral data and time-series geochemical data are collected, spatiotemporally aligned, processed using an artificial intelligence model, and dynamically adjusted through a weight adjustment function to generate a spatiotemporal evolution map of heavy metals.
It enables precise monitoring and comprehensive assessment of heavy metals in mining areas, dynamically monitors the changing trends of heavy metals, provides a reliable basis for environmental governance and risk assessment, and generates intuitive spatiotemporal evolution maps of heavy metals.
Smart Images
Figure CN120539084B_ABST