Remote on-line monitoring and early warning system for stability of ion type rare earth slope

Abstract

The invention provides a remote on-line monitoring and early warning system for stability of an ion type rare earth slope. With the system, real-time monitoring of stability of an in-situ leaching landslide of a rare earth mine can be realized; automatic early warning can be realized when the landslide occurs at the mine; and thus the stope slop safety during the exploitation period and after exploitation of the mine can be guaranteed. A data acquisition module collects feature parameter data of the rare earth in-situ leaching ore; an image collection module collects image information in a monitoring region; a data / image processing module extracts effective feature parameter data and effective image information respectively; and a remote monitoring module compares effective collation data of all sensors with thresholds, determines whether a landslide accident is going to happen, and uses an early warning module to send out an early warning signal when the landslide accident is going to happen. Besides, the remote monitoring module also contains a display module for display effective image information.

Description

technical field [0001] The invention relates to the technical field of geotechnical engineering, in particular to an ion-type rare earth slope stability remote on-line monitoring and early warning system. Background technique [0002] In-situ leaching of ionic rare earths reduces the stability of mountain slopes, leading to landslide accidents, affecting mine production safety, worker safety, resource recovery and economic benefits. In order to ensure the safety of the stope slope before and after mining, it is necessary to monitor the mine to give timely warning before the landslide is about to occur in the mine, and to organize and guide the rescue in time when the landslide is about to occur in the mine. At present, there is a lack of such an early warning system, so that it can establish a landslide early warning model, and combined with engineering practice, give a reference safety threshold for landslides, and automatically warn when the threshold exceeds the set thres...

AI Technical Summary

Problems solved by technology

At present, there is a lack of such an early warning system, so that it can establish a landslide early warning model, and combined with engineering practice, give a reference safety threshold for landslides, and automatically warn when the threshold exceeds the set threshold, so as to determine the stable state of the slope, and dynamically track and control rare earth mines. Mining progress, to ensure mine safety and achieve the best benefits

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