Method for detecting moisture content distribution of ionic rare earth mine in real time

Abstract

The invention belongs to the technical field of ionic rare earth mine mining, and particularly relates to a method for detecting moisture content distribution of an ionic rare earth mine in real time. According to the measuring line arrangement method provided by the invention, the apparent resistivity data of the ionic rare earth mine can be accurately measured in real time; by means of the subsequently obtained apparent resistivity-moisture content relation model, the moisture content distribution diagram of the ionic rare earth mine can be obtained in real time, then flow monitoring of the ore leaching agent in in-situ ore leaching is achieved, the injection parameters of the ore leaching agent are conveniently, timely and effectively adjusted, and finally the in-situ ore leaching efficiency is improved. The invention further provides a model building method for detecting the water content distribution of the ionic rare earth mine in real time, the model built through the building method is accurate, the apparent resistivity obtained in real time can be converted into the water content, and then the purpose of detecting the water content distribution of the ionic rare earth mine in real time is achieved.

Description

Technical Field

[0001] This invention relates to the field of ion-adsorption rare earth mining technology, and in particular to a method for real-time detection of the moisture content distribution in ion-adsorption rare earth mines. Background Technology

[0002] Currently, to balance recovery rate, mining cost, and surface protection, in-situ leaching is used to recover rare earth resources from ion-adsorption rare earth ores. This involves injecting a leaching agent into the ore body without damaging surface vegetation or excavating topsoil and ore. The cations in the solution exchange and desorb rare earth ions adsorbed on the surface of clay minerals, forming a rare earth mother liquor, from which rare earths are extracted. In-situ leaching protects the surface environment and reduces mining costs, making it a valuable method for widespread application. However, years of field application have revealed some core problems that limit its engineering promotion. These problems mainly manifest as: low recovery rate of rare earth ores from in-situ leaching. Statistics show that the recovery rate of mining using in-situ leaching is around 75%. This is due to two main reasons: firstly, floor fissures prevent complete recovery of the mother liquor; secondly, the leaching solution cannot penetrate the rare earth ore body well and uniformly, resulting in leaching blind zones within the ore body. Subsequent re-injection (re-leaching) can still recover 20-30% of the resources. Currently, there is no reliable means to monitor areas of uneven permeation within the ore body. Therefore, during in-situ leaching, it is impossible to scientifically and reasonably adjust the arrangement of injection holes, injection intensity, and injection sequence to avoid the generation of uneven permeation areas. After leaching, some rare earth resources remain in the tailings, resulting in resource waste.

[0003] Therefore, only by dynamically monitoring the seepage path and collection area of ​​the leaching solution during in-situ leaching, discovering its inherent mechanism and key influencing factors, and then proposing targeted control methods, can we provide a basic research basis for improving the leaching process and enhancing the leaching effect. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a method for arranging apparent resistivity measuring lines and establishing a model for real-time detection of the liquid content distribution in ion-adsorption rare earth ores. The measuring line arrangement method of this invention can obtain real-time apparent resistivity, thus laying a solid foundation for subsequent accurate and real-time acquisition of the mine's water content distribution.

[0005] To achieve the above-mentioned objectives, the present invention provides the following technical solution:

[0006] This invention provides a method for arranging survey lines to detect the water content distribution in ion-adsorption rare earth mines in real time, wherein the survey lines include a main survey line and several side survey lines;

[0007] The main survey line is arranged along the ridge of the ion-adsorption rare earth mine;

[0008] The side-view lines are arranged perpendicular to the ridge of the ion-adsorption rare earth mine;

[0009] Several electrodes are arranged on the main measuring line and the side measuring line;

[0010] Several moisture content calibration holes are set on the ore body along the main and side survey lines; moisture sensors are pre-embedded in the moisture content calibration holes.

[0011] Preferably, the distance between adjacent side measurement lines is 20 to 50 meters.

[0012] Preferably, the distance between adjacent electrodes on each measuring line is 1 to 10 meters.

[0013] Preferably, the depth of the moisture content calibration hole extends to the semi-weathered layer.

[0014] Preferably, the distance between adjacent moisture content calibration holes is 20–40 m.

[0015] Preferably, a moisture sensor is pre-embedded in the moisture content calibration hole at a depth of 2 to 4 meters.

[0016] Preferably, the moisture sensor consists of a stainless steel probe and a waterproof probe.

[0017] This invention also provides a method for establishing a model for real-time detection of moisture content distribution in ion-adsorption rare earth mines. The model for real-time detection of moisture content distribution in ion-adsorption rare earth mines is an apparent resistivity-moisture content relationship model; it includes the following steps:

[0018] The main measuring line, side measuring lines, and moisture content calibration holes are arranged according to the measuring line arrangement method described in the above technical solution, and a moisture sensor is embedded in the moisture content calibration hole;

[0019] The humidity data obtained from the moisture sensor and the apparent resistivity data at the same location are fitted to obtain the apparent resistivity-humidity relationship model.

[0020] By combining the apparent resistivity-humidity relationship model and the preset humidity-moisture content relationship model, the apparent resistivity-moisture content relationship model is obtained.

[0021] Preferably, the method for establishing the preset humidity-moisture content relationship model includes the following steps:

[0022] After drying the mineral samples from ion-adsorption rare earth mines, a series of samples with different moisture contents were prepared.

[0023] The humidity of the series of samples was obtained by using a moisture sensor to detect the humidity of the series of samples;

[0024] The humidity and moisture content of the series of samples were fitted to obtain the preset humidity-moisture content relationship model.

[0025] The series of samples had different moisture contents of 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40%.

[0026] This invention also provides a method for real-time detection of moisture content distribution in ion-adsorption rare earth mines, comprising the following steps:

[0027] The main measuring line, side measuring lines, and moisture content calibration holes are arranged according to the measuring line arrangement method described in the above technical solution, and a moisture sensor is embedded in the moisture content calibration hole;

[0028] Apparent resistivity was measured using the main measuring line and the side measuring line to obtain real-time apparent resistivity data;

[0029] Based on the model establishment method described above, a model of apparent resistivity-moisture content relationship is obtained, and real-time moisture content data is obtained.

[0030] Based on real-time apparent resistivity data and real-time moisture content data, the RES2D software is used for interpretation and inversion to realize real-time detection of moisture content distribution in ion-type rare earth mines.

[0031] This invention provides a method for arranging survey lines to detect the moisture content distribution in ion-adsorption rare earth mines in real time. The survey line arrangement method provided by this invention can accurately and in real time measure the apparent resistivity data of ion-adsorption rare earth mines; using the subsequently obtained apparent resistivity-moisture content relationship, a moisture content distribution map of the ion-adsorption rare earth mine can be obtained in real time, thereby enabling monitoring of the leaching agent in in-situ leaching and improving in-situ leaching efficiency.

[0032] This invention also provides a model building method for real-time detection of water content distribution in ion-adsorption rare earth mines. The model built by this invention is accurate and can convert the real-time obtained apparent resistivity into water content, thereby achieving the purpose of real-time detection of water content distribution in ion-adsorption rare earth mines.

[0033] The present invention also provides a method for real-time detection of the moisture content distribution in ion-adsorption rare earth mines. The method provided by the present invention can realize the understanding of the leaching agent injection situation by real-time detection of the moisture content distribution in ion-adsorption rare earth mines, and then adjust parameters such as the injection amount of leaching agent in real time, thereby improving the leaching efficiency of in-situ leaching. Attached Figure Description

[0034] Figure 1 This is a simulation map showing the distribution of ion-adsorption rare earth mines.

[0035] Figure 2 A model diagram of the injection hole layout for in-situ leaching of ion-adsorption rare earth mines;

[0036] Figure 3It is an aerial photograph of the survey lines and sensor layout;

[0037] Figure 4 It is a zoning map of the experimental mine;

[0038] Figures 5-13 These are the dynamic inversion results of electrical resistivity tomography (ERT) monitoring at different times along a certain survey line, among which... Figure 5 The date is September 8, 2024. Figure 6 The date is September 14, 2024. Figure 7 The date is September 20, 2024. Figure 8 The date is September 24, 2024. Figure 9 The date is September 27, 2024. Figure 10 The date is September 29, 2024. Figure 11 The date is October 7, 2024. Figure 12 The date is October 15, 2024. Figure 13 The date is October 20, 2024. Detailed Implementation

[0039] This invention provides a method for arranging survey lines to detect the water content distribution in ion-adsorption rare earth mines in real time, wherein the survey lines include a main survey line and several side survey lines;

[0040] The main survey line is arranged along the ridge of the ion-adsorption rare earth mine;

[0041] The side-view lines are arranged perpendicular to the ridge of the ion-adsorption rare earth mine;

[0042] Several electrodes are arranged on the main measuring line and the side measuring line;

[0043] Several moisture content calibration holes are set on the ore body along the main and side survey lines; moisture sensors are pre-embedded in the moisture content calibration holes.

[0044] In this invention, the ion-adsorption rare earth mine exhibits a layered, planar distribution of weathering crust, with the ore body occurring intermittently in a layered manner along with the weathering crust. Due to the underdeveloped surface clay layer, most of the ore body is exposed on the surface, primarily located on mountain peaks and ridges, with its occurrence varying according to topographic relief. In this invention, the distribution range and morphology of the ion-adsorption rare earth mine are strictly constrained by the degree of development of the weathering crust and topographic factors. The distribution simulation diagram of the ion-adsorption rare earth mine in this invention is shown below. Figure 1 As shown, the preferred configuration includes a surface soil layer, a fully weathered layer, a semi-weathered layer, groundwater, and a bedrock layer. The fully weathered and semi-weathered layers are carriers of rare earth elements, which typically exist in the form of oxides in the fully weathered and semi-weathered layers.

[0045] In this invention, the injection of silver leaching agent after in-situ leaching in ion-adsorption rare earth mines leads to changes in the water content distribution. Therefore, the survey line layout method provided by this invention focuses on the water content distribution in ion-adsorption rare earth mines during the in-situ leaching process. This invention does not specifically limit the distribution of injection holes during the in-situ leaching process; those skilled in the art can set it according to the storage and occurrence of ion-adsorption rare earth mines and the orientation of the ore body. Figure 2 This is a model diagram of the injection hole layout for in-situ leaching of ion-type rare earth mines.

[0046] In this invention, the main measuring line is arranged along the ridge of the ion-adsorption rare earth mine, preferably along relatively flat and gently undulating terrain to minimize the influence of topography on the electrical resistivity measurement results. In this invention, several electrodes are arranged along the main measuring line, with the distance between adjacent electrodes preferably being 1 to 10 meters, specifically 1 meter, 2 meters, 3 meters, 4 meters, 5 meters, 6 meters, 7 meters, 8 meters, 9 meters, or 10 meters. In this invention, the depth of the electrodes is preferably 4 to 5 meters, specifically 4 meters, 4.5 meters, or 5 meters.

[0047] In this invention, the lateral sensing lines are arranged perpendicular to the ridge of the ion-adsorption rare earth mine. The arrangement of the lateral sensing lines preferably takes into account the size of the ion-adsorption rare earth mine, the orientation and distribution of the geological structure, to reflect the electrical differences on both sides of the structural zone. In this invention, the distance between adjacent lateral sensing lines is preferably 20-50 meters, specifically 20 meters, 25 meters, 30 meters, 35 meters, 40 meters, 45 meters, or 50 meters. In this invention, several electrodes are arranged on the lateral sensing lines, and the distance between adjacent electrodes on each lateral sensing line is preferably 1-10 meters, specifically 1 meter, 2 meters, 3 meters, 4 meters, 5 meters, 6 meters, 7 meters, 8 meters, 9 meters, or 10 meters. In this invention, the depth of the electrodes is preferably 4-5 meters, specifically 4 meters, 4.5 meters, or 5 meters.

[0048] In this invention, the main measuring line is preferably also equipped with a monitoring host and a substation. The monitoring host and substation are preferably installed in a location with less vegetation on the mountaintop. The equipment is powered by a combination of solar panels and batteries and transmits data through a 4G network.

[0049] In this invention, the electrodes on the main and side measuring lines are used to measure the apparent resistivity of ion-adsorption rare earth minerals. In this invention, the apparent resistivity is a parameter used to reflect changes in the electrical conductivity of rock and soil. In cases where the electrical properties of underground rock and soil are unevenly distributed (containing two or more types of rocks or ores with different electrical properties) or the surface is uneven, the resistivity obtained using the method and formula for measuring the resistivity of uniform horizontal earth is called apparent resistivity, denoted by the symbol ρs, and its unit is the same as resistivity, Ω·m. Changes in the water content of the ore body will cause changes in the electrical conductivity of the ore and soil, thus affecting the change in the apparent resistivity value. Therefore, the change pattern of the apparent resistivity of the ore body over time can intuitively reflect the change pattern of the water content in the ore body.

[0050] In this invention, several moisture content calibration holes are set on the ore body along the main and side survey lines; moisture sensors are pre-embedded in the moisture content calibration holes. In this invention, the hole depth of the moisture content calibration holes is preferably to the semi-weathered layer; the distance between adjacent moisture content calibration holes is preferably 20-40m. In this invention, a moisture sensor is preferably pre-embedded every 2-4 meters in the moisture content calibration holes. In this invention, the moisture sensor is preferably composed of a stainless steel probe and a waterproof probe. In this invention, the moisture sensor can be buried in the soil and dams for long-term fixed-point monitoring and online measurement of surface and deep soil. In this invention, the working principle of the moisture sensor is to measure the moisture content by measuring the capacitance value between electrodes in the soil. When the soil moisture content changes, the soil changes the properties of the dielectric, thereby affecting the capacitance value; that is, the moisture sensor measures the moisture content by monitoring the dielectric constant value in the soil, and the measurement result is the volumetric moisture content within a certain range at the location of the moisture sensor. In this invention, the moisture sensor is preferably a capacitive moisture sensor, also known as a dielectric constant sensor. In this invention, changes in water content in ion-adsorption rare earth mines simultaneously affect the conductivity and dielectric properties of the ore. According to the research conclusions of Córdova et al., apparent resistivity and humidity exhibit a power function relationship.

[0051] In one specific embodiment of the present invention, an aerial photograph of the survey line and sensor layout is shown below. Figure 3 As shown, the survey line divides the ion-adsorption rare earth mine into zones, specifically as follows: Figure 4 As shown.

[0052] This invention also provides a method for establishing a model for real-time detection of moisture content distribution in ion-adsorption rare earth mines. The model for real-time detection of moisture content distribution in ion-adsorption rare earth mines is an apparent resistivity-moisture content relationship model; it includes the following steps:

[0053] The main measuring line, side measuring lines, and moisture content calibration holes are arranged according to the measuring line arrangement method described in the above technical solution, and a moisture sensor is embedded in the moisture content calibration hole;

[0054] The humidity data obtained from the moisture sensor and the apparent resistivity data at the same location are fitted to obtain the apparent resistivity-humidity relationship model.

[0055] By combining the apparent resistivity-humidity relationship model and the preset humidity-moisture content relationship model, the apparent resistivity-moisture content relationship model is obtained.

[0056] This invention arranges the main measuring line, side measuring lines, and moisture content calibration holes according to the measuring line layout method described in the above technical solution, and embeds moisture sensors in the moisture content calibration holes. This invention does not specifically limit the arrangement of the main measuring line, side measuring lines, and moisture content calibration holes; any arrangement according to the above technical solution is acceptable.

[0057] This invention fits humidity data obtained from a moisture sensor with apparent resistivity data at the same location to obtain an apparent resistivity-humidity relationship model. This invention does not specify a particular fitting method; any operation well-known to those skilled in the art can be used.

[0058] After obtaining the apparent resistivity-humidity relationship model, this invention combines the apparent resistivity-humidity relationship model with the preset humidity-moisture content relationship model to obtain the apparent resistivity-moisture content relationship model.

[0059] In this invention, the method for establishing the preset humidity-moisture content relationship model includes the following steps:

[0060] After drying the mineral samples from ion-adsorption rare earth mines, a series of samples with different moisture contents were prepared.

[0061] The humidity of the series of samples was obtained by using a moisture sensor to detect the humidity of the series of samples;

[0062] The humidity and moisture content of the series of samples were fitted to obtain the preset humidity-moisture content relationship model.

[0063] This invention involves drying mineral samples from ion-adsorption rare earth mines and then preparing a series of samples with different moisture contents. The method for preparing these samples with different moisture contents is not specifically limited in this invention. In this invention, the different moisture contents of the series of samples are 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40%.

[0064] After preparing a series of samples with different moisture contents, this invention uses a moisture sensor to detect the humidity of the series of samples and obtain the humidity of the series of samples. In this invention, the detection of humidity of the series of samples using a moisture sensor preferably includes: preparing the series of samples into 4×8cm specimens, inserting the moisture sensor probe into the 4×8cm specimens, and measuring the corresponding humidity.

[0065] After obtaining the humidity of a series of samples, this invention fits the humidity and moisture content of the series of samples to obtain the preset humidity-moisture content relationship model. This invention does not specifically limit the fitting method.

[0066] In this invention, the apparent resistivity-moisture content relationship model is preferably a power function relationship.

[0067] This invention also provides a method for real-time detection of moisture content distribution in ion-adsorption rare earth mines, comprising the following steps:

[0068] The main measuring line, side measuring lines, and moisture content calibration holes are arranged according to the measuring line arrangement method described in the above technical solution, and a moisture sensor is embedded in the moisture content calibration hole;

[0069] Apparent resistivity was measured using the main measuring line and the side measuring line to obtain real-time apparent resistivity data;

[0070] Based on the model establishment method described above, a model of apparent resistivity-moisture content relationship is obtained, and real-time moisture content data is obtained.

[0071] Based on real-time apparent resistivity data and real-time moisture content data, the RES2D software is used for interpretation and inversion to realize real-time detection of moisture content distribution in ion-type rare earth mines.

[0072] This invention arranges the main measuring line, side measuring lines, and moisture content calibration holes according to the measuring line layout method described in the above technical solution, and embeds moisture sensors in the moisture content calibration holes. This invention does not specifically limit the arrangement of the main measuring line, side measuring lines, and moisture content calibration holes; any arrangement according to the above technical solution is acceptable.

[0073] This invention utilizes main and side measuring lines to measure apparent resistivity, obtaining real-time apparent resistivity data. This invention does not specifically limit the method for measuring apparent resistivity.

[0074] After obtaining the real-time apparent resistivity data, the present invention obtains the real-time moisture content data based on the apparent resistivity value-moisture content relationship model obtained by the model establishment method described above.

[0075] After obtaining real-time apparent resistivity data and real-time moisture content data, this invention uses RES2D software to interpret and invert the data, thereby enabling real-time detection of moisture content distribution in ion-type rare earth mines.

[0076] In this invention, the injection of leaching agent into the injection hole is adjusted based on the interpretation and inversion results to fully utilize the leaching agent and thereby improve leaching efficiency.

[0077] The following detailed description, in conjunction with embodiments, of the apparent resistivity measurement line layout method and model establishment method for real-time detection of liquid content distribution in ion-type rare earth minerals provided by the present invention, but these should not be construed as limiting the scope of protection of the present invention.

[0078] Example 1

[0079] Taking a specific ion-adsorption rare earth mine as an example, the method for real-time detection of the moisture content distribution in an ion-adsorption rare earth mine is as follows:

[0080] The main survey line, 400m long, is laid out along the ridge of the ion-adsorption rare earth mine.

[0081] Three lateral survey lines are arranged perpendicular to the ridge of the ion-adsorption rare earth mine. Each lateral survey line is 180m long and the distance between adjacent lateral survey lines is 20-50m.

[0082] Electrodes are placed at 3m intervals on the main survey line and the side survey line, with an electrode depth of 1m.

[0083] Several moisture content calibration holes are set on the ore body along the main survey line and the side survey line; the distance between adjacent moisture content calibration holes is 20-40m, the depth of the moisture content calibration holes reaches the semi-weathered layer, and a moisture sensor is pre-embedded in the moisture content calibration holes every 2-4 meters.

[0084] The humidity data obtained from the moisture sensor and the apparent resistivity data at the same location are fitted to obtain the apparent resistivity-humidity relationship model.

[0085] After drying the ore samples from ion-adsorption rare earth mines, a series of samples with moisture contents of 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40% were prepared. These samples with different moisture contents were then made into 4×8cm specimens. A moisture sensor probe was inserted into each specimen to measure the corresponding humidity. The moisture content and humidity of the specimens were then fitted to obtain a pre-defined humidity-moisture content relationship model.

[0086] By combining the obtained apparent resistivity-humidity relationship model and the preset humidity-moisture content relationship model, the apparent resistivity-moisture content relationship model is obtained.

[0087] After in-situ leaching, the water content distribution in ion-adsorption rare earth mines changes due to the injection of leaching agents; therefore, this study focuses on the water content distribution in ion-adsorption rare earth mines during the in-situ leaching process.

[0088] Based on the storage and occurrence of rare earth ore and the ore body orientation, injection holes are set up. After the leaching agent is injected, the apparent resistivity is measured using the main measuring line and the side measuring line to obtain real-time apparent resistivity data.

[0089] Based on the apparent resistivity-moisture content relationship model, real-time moisture content data is obtained;

[0090] Based on real-time apparent resistivity data and real-time moisture content data, the RES2D software is used for interpretation and inversion to realize real-time detection of moisture content distribution in ion-type rare earth mines.

[0091] Figures 5-13 These are the dynamic inversion results of electrical resistivity tomography (ERT) monitoring at different times along a certain survey line, among which... Figure 5 The date is September 8, 2024. Figure 6 The date is September 14, 2024. Figure 7 The date is September 20, 2024. Figure 8 The date is September 24, 2024. Figure 9 The date is September 27, 2024. Figure 10 The date is September 29, 2024. Figure 11 The date is October 7, 2024. Figure 12 The date is October 15, 2024. Figure 13 The date is October 20, 2024. From Figures 5-13 It can be seen that as time progresses, the leaching agent slowly seeps downwards from the ridge, forming a narrow, low-resistivity zone (blue area) from the surface downwards, before spreading to both sides. As injection continues, the injection holes on both sides of the ridge gradually open, and the leaching agent continues to seep outwards, forming an irregular quadrilateral shape. The blue area generally diffuses more slowly, not continuing to seep vertically downwards, but rather spreading to both sides, indicating that the bottom of the blue low-resistivity zone has poor permeability, possibly representing a semi-weathered layer or bedrock.

[0092] In the inversion diagram, a blue low-resistivity area gradually appeared in the ore layer below monitoring borehole 3#-5m. This blue area did not spread to the ore layer on the slope side and was not connected to the blue low-resistivity area below monitoring borehole 4#-4m, resulting in a significant unsaturated area on the slope of the ore body. A significant low-resistivity area has consistently existed below the surface of the gully on the right. Combined with the groundwater outflow at the site and the tailings water outflow from the diversion borehole of the opposite ore block, it is preliminarily determined that the low-resistivity area below the gully is caused by the combined effect of groundwater and tailings water from the opposite ore block, resulting in a high water content in the gully. Therefore, targeted control methods are proposed to improve the leaching effect.

[0093] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for arranging survey lines to detect the water content distribution in ion-adsorption rare earth mines in real time, characterized in that, The survey line includes a main survey line and several side survey lines; The main survey line is arranged along the ridge of the ion-adsorption rare earth mine; The side-view lines are arranged perpendicular to the ridge of the ion-adsorption rare earth mine; Several electrodes are arranged on the main measuring line and the side measuring line; Several moisture content calibration holes are set on the ore body along the main and side survey lines; moisture sensors are pre-embedded in the moisture content calibration holes.

2. The survey line layout method according to claim 1, characterized in that, The distance between adjacent side survey lines is 20 to 50 meters.

3. The survey line layout method according to claim 1, characterized in that, The distance between adjacent electrodes on each measuring line is 1 to 10 meters.

4. The survey line layout method according to claim 1, characterized in that, The depth of the moisture content calibration hole extends to the semi-weathered layer.

5. The survey line layout method according to claim 1, characterized in that, The distance between adjacent moisture content calibration wells is 20–40 m.

6. The survey line layout method according to claim 1, 4, or 5, characterized in that, A moisture sensor is pre-embedded in the moisture content calibration hole at a depth of 2 to 4 meters.

7. The survey line layout method according to claim 1, characterized in that, The moisture sensor consists of a stainless steel probe and a waterproof probe.

8. A method for establishing a model for real-time detection of moisture content distribution in ion-adsorption rare earth mines, characterized in that, The model for real-time detection of moisture content distribution in ion-adsorption rare earth mines is an apparent resistivity-moisture content relationship model; it includes the following steps: The main measuring line, the side measuring line, and the moisture content calibration hole are arranged according to the measuring line arrangement method of any one of claims 1 to 7, and a moisture sensor is embedded in the moisture content calibration hole; The humidity data obtained from the moisture sensor and the apparent resistivity data at the same location are fitted to obtain the apparent resistivity-humidity relationship model. By combining the apparent resistivity-humidity relationship model and the preset humidity-moisture content relationship model, the apparent resistivity-moisture content relationship model is obtained.

9. The model building method according to claim 8, characterized in that, The method for establishing the preset humidity-moisture content relationship model includes the following steps: After drying the mineral samples from ion-adsorption rare earth mines, a series of samples with different moisture contents were prepared. The humidity of the series of samples was obtained by using a moisture sensor to detect the humidity of the series of samples; The humidity and moisture content of the series of samples were fitted to obtain the preset humidity-moisture content relationship model. The series of samples had different moisture contents of 5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40%.

10. A method for real-time detection of moisture content distribution in ion-adsorption rare earth mines, characterized in that, Includes the following steps: The main measuring line, the side measuring line, and the moisture content calibration hole are arranged according to the measuring line arrangement method of any one of claims 1 to 7, and a moisture sensor is embedded in the moisture content calibration hole; Apparent resistivity was measured using the main measuring line and the side measuring line to obtain real-time apparent resistivity data; Based on the model establishment method described in any one of claims 8 to 9, the apparent resistivity-moisture content relationship model is obtained, and real-time moisture content data is obtained. Based on real-time apparent resistivity data and real-time moisture content data, the RES2D software is used for interpretation and inversion to realize real-time detection of moisture content distribution in ion-type rare earth mines.

Images