Method for monitoring potential landslide risk of ion type rare earth mine in-situ leaching

By deploying survey lines and pre-embedding moisture sensors in ion-adsorption rare earth mines, and combining apparent resistivity measurement with software interpretation, potential landslide risks can be identified, solving the problem of the lack of effective monitoring methods in existing technologies, and realizing real-time identification and reduction of landslide risks.

CN121069498APending Publication Date: 2025-12-05GANZHOU RARE EARTH MINERAL IND +1
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Patent Information

Application Number
CN202511153410.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-18
Publication Date
2025-12-05

AI Technical Summary

Technical Problem

Existing technologies lack effective monitoring methods for landslide hazards during in-situ leaching of ion-adsorption rare earth mines, especially low-cost, wide-coverage, and reusable technologies.

Method used

By setting up survey lines in ion-adsorption rare earth mines, installing electrodes and moisture content calibration holes, pre-burying moisture sensors, and using apparent resistivity measurements and pre-set relationship models, combined with RES2D software interpretation, moisture content contour lines are drawn to identify potential landslide risk areas.

Benefits of technology

It enables real-time monitoring of potential landslide risks, reduces landslide risks, and does not affect normal production.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention belongs to the technical field of mine risk monitoring, and provides a method for monitoring potential landslide risk of ion type rare earth mine in-situ ore leaching. Real-time apparent resistivity data are obtained through a measuring line, and real-time moisture content data are obtained based on a preset apparent resistivity value-moisture content relation model; based on the real-time apparent resistivity data and the real-time water content data, interpreting and inverting by using RES2D software, and drawing a water content contour line; and the identification of the potential landslide risk of the ion type rare earth mine in-situ mineral leaching is realized in combination with the limit value of the mineral soil liquid. According to the monitoring method, under the condition that normal production is not affected, potential risk identification can be achieved, and the landslide risk is reduced.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mine risk monitoring, and particularly relates to a method for monitoring potential landslide risks of in-situ leaching of ion-type rare earth mines. BACKGROUND

[0002] At present, ion-type rare earth mines adopt in-situ leaching mining technology, a large amount of leaching liquid is continuously injected into the liquid injection hole on the surface of the mountain body, the leaching liquid reacts with rare earth ions in the mine, the rare earth ions are resolved into solution, the solution containing rare earth ions flows into the liquid collection system at the foot of the slope, and then the solution containing rare earth ions is collected to achieve the purpose of recovering rare earth ions.

[0003] In the ion-type rare earth mine exploitation process, in order to shorten the exploitation period and improve the leaching range of leaching liquid in the mine, the mine enterprises often use high-strength liquid injection to inject leaching liquid into the mountain body, which causes the mountain body to be quickly saturated and long-term in a super-saturated state, and is prone to induce geological disasters.

[0004] Since the ion-type rare earth mine was exploited, landslide disasters have occurred frequently, and there is no effective monitoring method at present, the main reason is that there is a lack of a technical means with low monitoring cost, wide coverage and reusability. SUMMARY

[0005] Therefore, the present application aims to provide a method for monitoring potential landslide risks of in-situ leaching of ion-type rare earth mines.

[0006] In order to achieve the above-mentioned application purposes, the present application provides the following technical solutions:

[0007] The present application provides a method for monitoring potential landslide risks of in-situ leaching of ion-type rare earth mines, comprising the following steps:

[0008] Before the ion-type rare earth mine is in-situ leached:

[0009] Determine the liquid limit value of the ore soil at different positions of the ion-type rare earth mine;

[0010] Arrange a measuring line in the ion-type rare earth mine;

[0011] The measuring line is arranged perpendicular to the ridge of the ion-type rare earth mine;

[0012] A plurality of electrodes are arranged on the measuring line;

[0013] A plurality of water content calibration holes are arranged on the ore body along the measuring line, and a moisture sensor is pre-buried in the water content calibration hole;

[0014] After the in-situ leaching starts:

[0015] Real-time apparent resistivity data is obtained by apparent resistivity measurement using the measuring line;

[0016] Real-time water content data is obtained based on the preset apparent resistivity value-water content relationship model;

[0017] Based on the real-time apparent resistivity data and the real-time water content data, RES2D software is used for interpretation and inversion to draw water content contour lines;

[0018] When the real-time water content is greater than the liquid limit value of the corresponding position, the area is considered to be a liquefaction disaster area;

[0019] When the water content of the lower part of the ion-type rare earth mine is high and a connected zone is formed, and the inclination of the connected zone is the same as the slope inclination, the area is considered to be a sliding zone.

[0020] Preferably, the length of the measuring line is 6-7 times the slope height of the ion-type rare earth mine.

[0021] Preferably, the measuring lines are arranged in parallel, and the distance between adjacent measuring lines is 30-40 meters.

[0022] Preferably, the distance between adjacent electrodes on each measuring line is 3-5 meters.

[0023] Preferably, the water content calibration hole has a depth to the semi-weathered layer.

[0024] Preferably, the distance between adjacent water content calibration holes is 20-40 meters.

[0025] Preferably, a water content sensor is pre-embedded every 2-4 meters in depth in the water content calibration hole.

[0026] Preferably, the water content sensor is composed of a stainless steel probe and a waterproof probe.

[0027] Preferably, the method for establishing the preset apparent resistivity value-water content relationship model comprises the following steps:

[0028] The humidity data obtained by the water content sensor and the apparent resistivity data at the same position are fitted to obtain an apparent resistivity value-humidity relationship model;

[0029] The apparent resistivity value-water content relationship model is obtained by combining the apparent resistivity value-humidity relationship model and the preset humidity-water content relationship model.

[0030] Preferably, the method for establishing the preset humidity-water content relationship model comprises the following steps:

[0031] After the ore sample of the ion-type rare earth mine is dried, a series of samples with different water contents are prepared;

[0032] The humidity of the series of samples is detected by using a moisture sensor to obtain the humidity of the series of samples;

[0033] The humidity and the moisture content of the series of samples are fitted to obtain the preset humidity-moisture content relationship model;

[0034] The different moisture contents of the series of samples are 5%, 10%, 15%, 20%, 25%, 30%, 35% and 40%.

[0035] The application provides a method for monitoring potential landslide risks of in-situ leaching of ion-type rare earth mines.

[0036] Compared with the prior art, the application has the following beneficial effects:

[0037] The application obtains real-time apparent resistivity data through a measuring line, obtains real-time moisture content data based on a preset apparent resistivity value-moisture content relationship model, and uses RES2D software to interpret and invert the real-time apparent resistivity data and the real-time moisture content data to draw a moisture content contour line. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 A mine soil sample (left) and a determination graph (right) for determination of a mine soil liquid limit value;

[0039] Figure 2 An operation diagram for pre-embedding a moisture sensor;

[0040] Figure 3 A layout diagram of a measuring line;

[0041] Figure 4 A moisture content contour line diagram and a risk area identification diagram. DETAILED DESCRIPTION

[0042] The application provides a method for monitoring potential landslide risks of in-situ leaching of ion-type rare earth mines.

[0043] Before in-situ leaching of the ion-type rare earth mine is performed:

[0044] Determination of mine soil liquid limit values of different parts of the ion-type rare earth mine;

[0045] Measuring line arrangement is performed on the ion-type rare earth mine;

[0046] The measuring line is arranged perpendicular to the ridge of the ion-type rare earth mine;

[0047] A plurality of electrodes are arranged on the measuring line;

[0048] The measuring line is provided with a plurality of water content calibration holes on the ore body along the line; a moisture sensor is pre-buried in the water content calibration hole;

[0049] After the in-situ leaching of the mine starts:

[0050] Real-time apparent resistivity data are obtained by using the measuring line to determine the apparent resistivity;

[0051] Based on the preset apparent resistivity value-water content relationship model, real-time water content data are obtained;

[0052] Based on the real-time apparent resistivity data and the real-time water content data, interpretation and inversion are performed by using RES2D software, and a water content contour line is drawn;

[0053] When the real-time water content is greater than the soil liquid limit value of the corresponding position, the area is considered to be a liquefaction disaster area;

[0054] When the lower part of the ion-type rare earth mine has a high water content and forms a connected zone, and the dip of the connected zone is the same as the dip of the slope, the area is considered to be a sliding zone.

[0055] In the present application, before the ion-type rare earth mine is in-situ leached, the soil liquid limit value of different parts of the ion-type rare earth mine is determined. In the present application, the sampling position of the soil liquid limit value is preferably a monitored slope surface of the ion-type rare earth mine, and the monitored slope surface is preferably a steep slope; the steep slope is more prone to sliding. The determination method of the soil liquid limit value is not specifically limited in the present application, and the operation and equipment known to those skilled in the art can be used. In the present application, the soil sample for determining the soil liquid limit value and the determination graph are shown in Figure 1 .

[0056] In the present application, before in-situ leaching of ion-type rare earth mines, the present application arranges measuring lines in the ion-type rare earth mines. In the present application, the measuring lines are arranged perpendicular to the ridges of the ion-type rare earth mines; the middle positions of the measuring lines are preferably located on the monitored slopes. In the present application, the lengths of the measuring lines are preferably 6-7 times the heights of the slopes of the ion-type rare earth mines. In the present application, the measuring lines are preferably arranged in parallel, and the distances between adjacent measuring lines are preferably 30-40 meters. In the present application, a plurality of electrodes are arranged on the measuring lines; the distances between adjacent electrodes on each measuring line are preferably 3-5 meters, and are more preferably 3 meters, 3.5 meters, 4 meters, 4.5 meters or 5 meters. In the present application, the depths of the electrodes are preferably 0.4 m. In the present application, a plurality of water content calibration holes are arranged on the ore bodies along the measuring lines; water content sensors are pre-embedded in the water content calibration holes. In the present application, the depths of the water content calibration holes are preferably to the half weathered layer. In the present application, the distances between adjacent water content calibration holes are preferably 20-40 m. In the present application, one water content sensor is preferably pre-embedded in the water content calibration holes every 2-4 meters in depth. In the present application, the water content sensors are composed of stainless steel probes and waterproof probes. In the present application, the pre-embedding of the water content sensors is preferably original soil backfilling; the densities of the original soil backfilling are preferably consistent with the original mine soil.

[0057] In one specific embodiment of the present application, the operation diagram of the pre-embedded water content sensors is as shown in Figure 2

[0058] In one specific embodiment of the present application, the arrangement diagram of the measuring lines is as shown in Figure 3

[0059] After the start of in-situ leaching, the present application uses the measuring lines to perform apparent resistivity determination to obtain real-time apparent resistivity data. The method of the apparent resistivity determination is not specifically limited in the present application.

[0060] After obtaining the real-time apparent resistivity data, the present application obtains real-time water content data based on the pre-set apparent resistivity value-water content relationship model.

[0061] In the present application, the method for establishing the pre-set apparent resistivity value-water content relationship model preferably comprises the following steps:

[0062] fitting the humidity data obtained by the water content sensors and the apparent resistivity data at the same positions to obtain an apparent resistivity value-humidity relationship model;

[0063] combining the apparent resistivity value-humidity relationship model and the pre-set humidity-water content relationship model to obtain the apparent resistivity value-water content relationship model.

[0064] ​​The moisture data obtained by the water content sensor and the apparent resistivity data of the same position are fitted to obtain an apparent resistivity value-humidity relationship model.

[0065] After obtaining the apparent resistivity value-humidity relationship model, the apparent resistivity value-humidity relationship model is obtained by combining the apparent resistivity value-humidity relationship model and a preset humidity-water content relationship model.

[0066] In the present application, the method for establishing the preset humidity-water content relationship model preferably comprises the following steps:

[0067] After the ore sample of the ion-type rare earth mine is dried, a series of samples with different water contents are prepared;

[0068] The humidity of the series of samples is detected by using a water content sensor to obtain the humidity of the series of samples.

[0069] The humidity and water content of the series of samples are fitted to obtain the preset humidity-water content relationship model.

[0070] The different water contents of the series of samples are 5%, 10%, 15%, 20%, 25%, 30%, 35% and 40%.

[0071] After the ore sample of the ion-type rare earth mine is dried, a series of samples with different water contents are prepared. The method for preparing the series of samples with different water contents is not specifically limited in the present application. In the present application, the different water contents of the series of samples are 5%, 10%, 15%, 20%, 25%, 30%, 35% and 40%.

[0072] After the series of samples with different water contents are prepared, the humidity of the series of samples is detected by using a water content sensor. In the present application, the humidity detection of the series of samples by using the water content sensor preferably comprises: preparing the series of samples into 4x8cm test samples, inserting the water content sensor probe into the 4x8cm test samples, and measuring the corresponding humidity.

[0073] After obtaining the humidity of the series of samples, the humidity and water content of the series of samples are fitted to obtain the preset humidity-water content relationship model. The fitting method is not specifically limited in the present application.

[0074] After obtaining the real-time water content data, the real-time apparent resistivity data and the real-time water content data are used to interpret and invert by using the RES2D software to draw the water content contour line.

[0075] In the present application, when the real-time water content is greater than the liquid limit value of the corresponding position, the region is considered to be a liquefaction disaster area.

[0076] In the present application, when the lower part of the ion-type rare earth mine has a high water content and forms a connected zone, and the inclination of the connected zone is the same as the slope inclination, the region is considered to be a slip zone.

[0077] The ion-type rare earth mine in-situ leaching potential landslide risk monitoring method provided by the present application will be described in detail below in conjunction with the embodiments, but they cannot be understood as limiting the scope of protection of the present application.

[0078] Example 1

[0079] The specific process is as follows:

[0080] Before the ion-type rare earth mine in-situ leaching, the mineral soil liquid limit value of different parts of the monitored slope (steep slope) in the ion-type rare earth mine is measured and recorded.

[0081] The ion-type rare earth mine is arranged with measuring lines; the measuring lines are arranged perpendicular to the ridges of the ion-type rare earth mine; the middle position of the measuring lines is located on the monitored slope; the number of measuring lines is 3, as shown in Figure 3 The 3 measuring lines are arranged in parallel, and the distance between adjacent measuring lines is 30-40 m; the length of each measuring line is 7 times the slope height, i.e. 240 m; 60 electrodes are arranged at the same interval on each measuring line, and the electrode depth is 0.4 m.

[0082] A plurality of water content calibration holes are arranged on the ore body along the measuring line; the distance between adjacent water content calibration holes is 20-40 m; the water content calibration hole is deep to the half weathered layer; a water content sensor is pre-buried every 4 meters in depth in the water content calibration hole.

[0083] The humidity data obtained by the water content sensor and the apparent resistivity data at the same position are fitted to obtain an apparent resistivity value-humidity relationship model.

[0084] After the ion-type rare earth mine sample is dried, a series of samples with water contents of 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40% are prepared. The series of samples with different water contents are prepared into 4x8 cm samples, the water content sensor probe is inserted into the samples with different water contents, and the corresponding humidity is measured; the water content and humidity of the sample are fitted to obtain a preset humidity-water content relationship model.

[0085] The apparent resistivity value-humidity relationship model and the preset humidity-water content relationship model are combined to obtain a preset apparent resistivity value-water content relationship model.

[0086] After the in-situ leaching starts:

[0087] Real-time apparent resistivity data is obtained by using the apparent resistivity measurement method along the measuring line;

[0088] Real-time water content data is obtained based on the preset apparent resistivity value-water content relation model;

[0089] Based on the real-time apparent resistivity data and the real-time water content data, the RES2D software is used for interpretation and inversion to draw the water content contour map;

[0090] When the real-time water content is greater than the liquid limit value of the corresponding position, the region is considered as a liquefaction disaster region;

[0091] When the lower part of the ion rare earth mine has a high water content and forms a connected zone, the region is considered as a slip zone.

[0092] Figure 4 The water content contour map and the risk region identification map are obtained from the real-time apparent resistivity data and the real-time water content data. Figure 4 It can be seen that, in the water content contour map, when the lower part of the slope has a high water content and forms a connected zone, and the inclination of the connected zone is the same as the inclination of the slope, the region is equivalent to a slip zone, and the region is prone to landslide risk, such as the region in the red dotted line range shown in FIG. 6. Figure 4 The potential slip zone is in the red dotted line range.

[0093] The above only describes the preferred embodiments of the present application, and it should be noted that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A method for monitoring potential landslide risk of in-situ leaching of ion-type rare earth mines, comprising the following steps: Before in-situ leaching of ion-type rare earth mines: Determine the liquid limit of ore soil at different positions of ion-type rare earth mines; Arrange measuring lines in the ion-type rare earth mines; The measuring lines are arranged perpendicular to the ridges of ion-type rare earth mines; Several electrodes are arranged on the measuring lines; Several moisture content calibration holes are arranged on the ore body along the measuring lines, and moisture sensors are pre-embedded in the moisture content calibration holes; After in-situ leaching starts: Determine apparent resistivity using the measuring lines to obtain real-time apparent resistivity data; Based on the pre-set apparent resistivity value-moisture content relationship model, obtain real-time moisture content data; Based on the real-time apparent resistivity data and real-time moisture content data, use RES2D software to interpret and invert to draw moisture content contour lines; When the real-time moisture content is greater than the liquid limit of ore soil at the corresponding position, the area is considered to be a liquefaction disaster area; When the lower part of the ion-type rare earth mine has high moisture content and forms a connected zone, and the inclination of the connected zone is the same as that of the slope, the area is considered to be a sliding zone.

2. The monitoring method of claim 1, wherein, The length of the measuring line is 6-7 times the slope height of the ion-type rare earth mine.

3. The monitoring method of claim 1, wherein, The measuring lines are arranged in parallel, and the distance between adjacent measuring lines is 30-40 meters.

4. The monitoring method of claim 1, wherein, The distance between adjacent electrodes on each measuring line is 3-5 meters.

5. The monitoring method of claim 1, wherein, The depth of the moisture content calibration hole reaches the half-weathered layer.

6. The monitoring method of claim 1, wherein, The distance between adjacent moisture content calibration holes is 20-40 meters.

7. The monitoring method according to claim 1 or 5 or 6, characterized in that, A moisture sensor is pre-embedded every 2-4 meters in depth in the moisture content calibration hole.

8. The monitoring method of claim 1, wherein, The moisture sensor is composed of a stainless steel probe and a waterproof probe.

9. The monitoring method of claim 1, wherein, The method for establishing the pre-set apparent resistivity value-moisture content relationship model comprises the following steps: Fit the humidity data obtained by the moisture sensor and the apparent resistivity data at the same position to obtain an apparent resistivity value-humidity relationship model; Combine the apparent resistivity value-humidity relationship model and the pre-set humidity-moisture content relationship model to obtain the apparent resistivity value-moisture content relationship model.

10. The monitoring method according to claim 9, characterized in that, The method for establishing the pre-set humidity-moisture content relationship model comprises the following steps: After drying the ore sample of the ion-type rare earth mine, prepare a series of samples with different moisture contents; Use a moisture sensor to detect the humidity of the series of samples to obtain the humidity of the series of samples; Fit the humidity and moisture content of the series of samples to obtain the pre-set humidity-moisture content relationship model; The different moisture contents of the series of samples are 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40%.

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