Enhancing Trustworthiness in Vibration Monitoring Through a Multi-View Fusion Approach with Millimeter-Wave Radar

In mining engineering, the mine hoist plays a vital role in transporting materials between the surface and under-ground. The wire rope, serving as the main connecting element, is particularly critical. While current safety monitoring often utilizes computer vision, underground environments pose chal-lenges like poor lighting, which can compromise camera accuracy. To address this issue, this paper introduces a millimeter-wave monitoring approach. This method achieves precise measurement of the wire rope's swing distance and speed by accurately extracting swing signals from a single millimeter-wave channel and optimizing radar parameters. Additionally, a reliable multi-view fusion model is developed to integrate decision-making on swing distance and speed characteristics. This approach improves the reliability and accuracy of hoist monitoring, even in complex mining environments.