An online monitoring and early warning method for ionic rare earth leaching ore landslides

Abstract

The invention provides an ion type rare earth in place leaching ore slope slide on-line monitoring early warning method so as to monitor a mine in real time, and automatic early warning can be realized when slope slide is about to happen, thus ensuring stope safety in a mine exploitation period and after the exploitation; the method comprises the following steps: measuring physics mechanics parameters including density, cohesive force and an inner friction angle of rare earth mine rock soil; setting up a stope slope three dimensional entity slope value model according to the measured physics mechanics parameters, and calculating to obtain a plastic zone of the rare earth mine, i.e., the important monitoring zone; arranging a plurality of various of sensors including a surface displacement meter, an aperture water pressure meter, a fluviograph and a soil pressure gauge in the important monitoring zone, thus measuring characteristic parameters. The surface displacement can be measured to determine a deformation stage of the rare earth mine; the aperture water pressure can be measured to determine an equivalent water head height of the rare earth mine; the earth pressure can be measured to determine a pressure early warning value of the rare earth mine.

Description

technical field [0001] The invention relates to the technical field of mining, in particular to an on-line monitoring and early warning method for ionic rare earth leaching ore landslides. Background technique [0002] In-situ leaching of ionic rare earths reduces the stability of mountain slopes, leading to landslide accidents and affecting mine safety production, resource recovery and economic benefits. In order to ensure the safety of the stope before and after mining, it is necessary to monitor the mine to give timely warning before the landslide occurs in the mine, and to organize rescue in time when the landslide occurs in the mine. At present, there is a lack of such an early warning system, which enables it to establish a landslide early warning model, and combined with engineering practice, give a reference safety threshold for landslides, and automatically alarm when it exceeds the set threshold, so as to determine the stable state of the slope, and dynamically tra...

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 alarm when the set threshold is exceeded, 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