An intelligent control method for ecological restoration of a mine based on plant-microorganism interaction
By acquiring real-time monitoring data from multiple sources to construct a state-space vector and inputting it into a Q-network, the target remediation action is determined. Combined with an LSTM model to predict changes in the pollution stress index, the remediation strategy is dynamically adjusted, solving the problem that mine ecological restoration schemes cannot adapt to sudden environmental changes and achieving efficient and precise ecological restoration.
Patent Information
- Application Number
- CN202610536364.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing mine ecological restoration solutions are unable to adapt to sudden changes in the mine's ecological environment, resulting in low utilization of microbial agents and poor restoration efficiency and precision.
By acquiring real-time monitoring data from multiple sources, a state-space vector is constructed and input into an initial Q-network to determine the target remediation action. The remediation strategy is dynamically adjusted through real-time rewards and network parameter updates. Adaptive remediation is then performed by combining the LSTM model to predict changes in the pollution stress index.
It has enabled timely restoration of the mine's ecological environment, improved restoration efficiency and accuracy, and continuously optimized restoration actions through continuous online learning to adapt to environmental changes.
Smart Images
Figure CN122414549A_ABST