This invention discloses an edge-cloud collaborative method and
system for monitoring the entire lifecycle of three-dimensional
rockfall trajectories, belonging to the field of
geological disaster monitoring technology. By
processing raw
radar echo data and detecting moving targets, the data scale is reduced, potential moving target points are obtained, and feature analysis is performed on these potential moving target points to eliminate interfering target points, thus obtaining effective
rockfall target points and forming an anti-interference capability for
rockfall disaster monitoring. Furthermore, based on the effective rockfall target points, the three-dimensional
spatial motion trajectory of the effective rockfall targets in the real three-dimensional
terrain is output, achieving accurate modeling of rockfall movement. This makes the predicted
threat area more precise, significantly improving the accuracy of rockfall risk prediction.
Threat level determination is also performed, generating corresponding decomposed early warning commands to ensure the reliability of the early warning and avoid false alarms.