基于时空反演的矿山重金属污染源定位方法、装置、设备及介质
By preprocessing environmental data in mining areas and using deep learning inversion models, the problem of locating multiple sources of heavy metal pollution in mines and in complex terrain has been solved, achieving high-precision pollution source identification and risk management.
CN122201493BActive Publication Date: 2026-07-17CENT SOUTH UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CENT SOUTH UNIV
- Filing Date
- 2026-05-14
- Publication Date
- 2026-07-17
Smart Images
Figure CN122201493B_ABST
Abstract
本发明公开了一种基于时空反演的矿山重金属污染源定位方法、装置、设备及介质，该方法包括：对采集的多源异构矿区环境及监测点浓度时序数据预处理得到时空基础数据，构建候选源单元与监测点间的时空图结构，以表征迁移路径，训练参数化映射网络构建表征正向演化特征的时空迁移响应模型，利用深度学习模型提取受迁移响应模型约束的反演特征，基于联合损失函数迭代求解得到定位识别结果；由于本发明通过建立污染源释放与监测响应间的时空关联并引入多重物理约束，有效克服了静态定位误差，在复杂多源叠加干扰场景下显著提升了定位精度，并实现了矿山重金属污染源的位置、强度与时序的精准联合识别。
Need to check novelty before this filing date? Find Prior Art