An open-pit mine slope multi-source monitoring intelligent grading online early warning system and method

Abstract

The application is suitable for the technical field of hierarchical early warning, and discloses an open-pit mine slope multi-source monitoring intelligent hierarchical online early warning system and method, which comprises: a collection module: collecting slope multi-source monitoring data and mine area personnel positioning data, and acquiring real-time environmental parameters of the mine area; and an instability judgment module: predicting a slope deformation trend based on the multi-source monitoring data, and dynamically generating adaptive hierarchical early warning threshold values according to the influence degree of the real-time environmental parameters on the slope stability. The application constructs a passing topological graph based on the adjacency relationship of sub-regions, removes nodes and edges with a comprehensive risk value greater than a safety threshold value, uses distance and average risk weighted summation as edge passing cost, and plans an optimal evacuation route with the minimum cumulative passing cost from a starting point to a target point as the target. The application ensures that the generated evacuation route can not only avoid extremely high risk areas, but also take into account the evacuation distance, and fundamentally guarantees the safety and timeliness of personnel evacuation.

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