73 results about "Tailings dam" patented technology

The invention discloses a GCN-LSTM-based tailing dam multi-point settlement deformation prediction method. The method comprises the steps of collecting and preprocessing original settlement monitoring data of monitoring points in a research area; constructing a graph structure for settlement data between all monitoring point pairs, setting a threshold value, connecting node pairs with significant correlation coefficient relationships by using edges, constructing a weighted undirected graph, and converting the weighted undirected graph into a normalized adjacent matrix as the input of a graph convolutional network GCN; extracting the spatial topology of each monitoring point by using a GCN; capturing long-term time dependence in the settlement process by using a gating mechanism of the LSTM network; and fusing the GCN and the LSTM network, and finally outputting a predicted value through a full connection layer. According to the method, the spatial topological graph among the monitoring points of the tailing dam is constructed, and the GCN and LSTM networks are fused, so that the spatial correlation among the monitoring points and the time dynamic characteristics of the settlement data are effectively captured, and high-precision tailing dam multipoint settlement prediction is realized.

The application relates to the field of mine geological modeling, in particular to a dynamic geological modeling method and system based on adaptive updating of multi-source heterogeneous data. The method comprises the following steps: acquiring tailing pond state feature data set, constructing a time-space lag prediction model through a machine learning method according to the tailing pond state feature data set; acquiring a tailing pond operation plan information set, predicting a pore water pressure change information set inside a tailing dam in a future period of time by using the time-space lag prediction model based on the tailing pond operation plan information set and a current ore pulp liquid level state; and performing dynamic evaluation of tailing dam stability according to the pore water pressure change information set and outputting stability early warning information. In the mine geological modeling process, timely allocation of emergency resources and accurate grasp of prevention and control time are realized, and chain instability of dam body and disastrous dam break accidents are reduced.

The embodiment of the invention provides a tailing dam rainfall infiltration model test system and method under the freezing and thawing cycle effect, and relates to the technical field of tailing dam stability detection. The system comprises a pressure bearing box, an environment control device, a rainfall infiltration device and an intelligent monitoring device. Wherein a tailing dam model is arranged in the pressure-bearing box, the environment control device is communicated with the internal space of the pressure-bearing box, and environment parameters such as the test temperature, the test air pressure and the test oxygen concentration of the internal space of the pressure-bearing box can be adjusted. The rainfall infiltration device can simulate different rainfall phenomena according to meteorological data. The intelligent monitoring device can collect monitoring data through the sensor group and generate a test result for evaluating the stability of the tailing dam through the data processing unit. The system can simulate a low-pressure and low-oxygen environment and a freeze-thaw cycle phenomenon in a high-cold and high-altitude area, can realize dynamic process simulation of a tailing dam model under freeze-thaw cycle and rainfall conditions, and improves the accuracy of a test result.

This application provides a method, system, equipment, and storage medium for dynamically fitting and generating phreatic lines in tailings dams, relating to the field of tailings dam monitoring technology. The method includes: acquiring phreatic line monitoring data of a target tailings dam; preprocessing the phreatic line monitoring data to obtain target monitoring data; constructing a dynamic fitting function library based on the dam body parameters and foundation parameters of the target tailings dam; performing parameter fitting based on the target monitoring data and the dynamic fitting function library, calculating the goodness of fit, and selecting a target fitting function based on the goodness of fit; and drawing the phreatic line of the target tailings dam based on the target fitting function and the target monitoring location information. This application achieves fully automated and intelligent generation from raw monitoring data to high-precision phreatic lines, effectively ensuring the authenticity and stability of the phreatic line representation.

This application relates to the technical field of dam protection, and in particular to a construction process for tailings dam protection, comprising the following steps: S1, prefabricating burlap sacks, filling the sacks with rock, soil, and grass seeds, and bundling multiple sacks into groups; S2, cleaning and leveling the dam surface; S3, setting up anti-slip units on the dam surface, and placing the bundled burlap sacks onto the anti-slip units; S4, sprinkling water on the sacks and waiting for the plants to sprout. This application can improve the construction efficiency of dam protection and reduce construction costs.

The tailing pond system in the cold region comprises a tailing dam, a dry beach area, a clarification area, a first ore drawing pipeline and a heat dissipation pipeline, and valves are arranged at the inlet ends of the first ore drawing pipeline and the heat dissipation pipeline; the heat dissipation pipeline comprises a second ore drawing pipeline, a connecting pipeline, a pre-buried pipeline, a first anti-blocking pipeline and a second anti-blocking pipeline which are communicated in sequence; a first ore drawing pipeline and a second ore drawing pipeline are alternately arranged on the tailing dam, and a pre-buried pipeline is laid in the dry beach area; and an outlet of the second anti-blocking pipeline is higher than the level of tailing slurry discharged in the dry beach area. The invention further discloses an ore drawing method of the tailing pond system. The heat generated when the tailing slurry is discharged is used for eliminating a tailing pond freezing layer lenticular body in a cold region, it is guaranteed that the dam body infiltration line is not lifted, and the dam body safety is guaranteed.

The invention relates to the field of tailing pond supervision, and discloses a tailing pond water level dynamic early warning system, method and equipment and a storage medium. The system comprises a water level monitoring module used for continuously collecting real-time water level data of discrete point locations of a tailing pond area; the edge calculation module is used for preprocessing the real-time water level data and generating a corresponding trigger type inspection instruction; the trigger routing inspection module is used for responding to the trigger routing inspection instruction, executing a routing inspection task on a region corresponding to the trigger routing inspection instruction, and collecting spatial domain water level data of a tailing pond region; and the data processing module is used for fusing the water level field data and the water level prediction data according to the real-time water level data to generate multi-level safety early warning information. According to the application, through cooperative operation of all the modules, a set of three-dimensional monitoring and early warning system is constructed, evolution from traditional single passive monitoring to global active early warning is realized, and the accuracy and reliability of tailing pond safety monitoring are improved.

The invention relates to the technical field of tailing pond infiltration line detection, and particularly discloses a direct-reading visual artificial intelligence detection device for a tailing pond infiltration line, two sides of a top plate are rotatably connected with supporting parts, the side surface of the top plate is fixedly connected with a gradienter, and the bottom of the top plate is fixedly connected with a blocking part. According to the direct-reading visual artificial intelligence detection device for the tailing pond infiltration line, the detection mechanism is arranged, the detection piece is lowered through the infiltration line detection pipe and can buzz after making contact with the water surface, and after receiving an alarm, detection personnel detect the situation through the video detection piece and directly read infiltration line burial depth data according to a scale cable; the accuracy of manual detection data of the tailing dam infiltration line is ensured, accurate comparison and analysis of online monitoring data of the infiltration line are facilitated, effective and accurate operation of an online monitoring device of the infiltration line is ensured, the stability of a dam body is kept, and dam break accidents are completely eradicated.

The invention discloses a cloud model-based tailing dam rainfall stability risk assessment method. The method comprises the following steps of S1, establishing a complete index system; s2, carrying out denoising preprocessing on the monitoring data by adopting a variational mode decomposition (VMD) algorithm; s3, carrying out weight analysis, and determining a combined weight; and S4, constructing a cloud model, determining a standard cloud of the cloud model, and judging a risk level. According to the method, the VMD algorithm is innovatively introduced to carry out denoising reconstruction on the monitoring data, original noisy data does not need to be stored, only effective signal components are reserved, risk level distribution characteristics can be described only through expected value-entropy-hyper-entropy parameterized representation of the cloud model and by using three groups of core parameters, dependence of a traditional method on full-amount historical data is replaced, and the method is high in reliability and high in reliability. The problem that the size of the buffer area is difficult to match the data size is thoroughly solved; under the mechanism, the risk evolution key information can be completely reserved with lower storage cost, and risk misjudgment caused by data loss can be avoided.

The present application relates to a kind of tailings vegetation substrate laying device and laying method, it is related to mine ecological restoration management technical field, for solving the ecological restoration of tailings dam in prior art, lack of vegetation substrate laying device while digging, and tailings cannot be well utilized, and the problem of waste soil;Including: excavation system, mobile base, impurity removal system, screening system, mixing system, spreading mechanism and control system, the mobile base is movably connected at one end of the excavation system;The impurity removal system includes first mixing mechanism and filtering mechanism;The screening system includes screening mechanism and first laying mechanism;The mixing system includes second mixing mechanism and second laying mechanism;Control system is electrically connected with excavation system, impurity removal system, screening system, mixing system and spreading mechanism.

A working platform that may be used at a site of a functional hydro structure, such as a dam, powerhouse, impoundment structure, sea wall, levee, tailings dam, or the like, constructed at least in part of precast segments is described herein. The working platform supports the functional hydro structure assembled thereon, which includes, at least in part, precast segments. Related methods for constructing a functional hydro structure are provided.

The invention relates to the technical field of iron-containing mineral treatment, in particular to a method for comprehensively utilizing iron-containing minerals, which comprises the following steps: through the whole-process cooperative treatment of low-temperature weak reduction magnetization, magnetic separation, associated element gradient extraction and tailing gelatinization, iron, titanium and rare earth are respectively collected, and iron can be efficiently and magnetically separated and recycled under the mild condition of lower than 750 DEG C; the energy consumption and the carbon emission are greatly reduced; titanium, manganese and rare earth are clearly separated due to the fact that oxide forms are kept, the rare earth is subjected to normal-temperature leaching and environment-friendly extraction, oxalic acid precipitation closed-loop recovery, and waste liquid is recycled; the magnetic separation tailings and the titanium slag are directly prepared into a high-strength geopolymer gelling material according to the proportion of 7: 3, the tailings are completely converted into building materials or heavy metal contaminated soil remediation filler, a tailing dam is thoroughly omitted, and the risks of dam break and percolation are eradicated; and finally, the high-iron concentrate, the mixed rare earth oxide and the high-added-value gelling material are output, and a virtuous cycle with full utilization of resources, zero emission of waste and win-win economy and environment is formed.

The invention relates to the technical field of dressing plant tailing operation training equipment, in particular to a tailing dam practical training model which comprises a dam body frame, an initial dam and sub-dams are arranged on the dam body frame, a drainage culvert pipe is arranged in the initial dam, a dam face drainage ditch and a waistcoat drainage ditch are arranged on the initial dam, and the sub-dams are arranged on the dam face drainage ditch. A dam body seepage water pipe, a dam body seepage line observation pipe and an overflow tower drainage pipe are arranged in the dam body frame, an overflow tower is installed at the water inlet end of the overflow tower drainage pipe, and an ore drawing pipe is arranged on the dam body frame. Practical operation training such as tailing pond operation observation, ore drawing operation, hidden danger checking and emergency disposal can be safely and efficiently carried out, the skill mastering efficiency and the hidden danger recognition accuracy of trainees are remarkably improved, and various training examination requirements of tailings pond workers of dressing plants are met.

This invention discloses a method for the flotation recovery of fine-grained cassiterite embedded in coarse sand of tin-containing polymetallic tailings, relating to the field of mineral processing technology. It introduces microwave pretreatment technology into the recovery of fine-grained cassiterite embedded in coarse sand at the tailings dam head, employing a combined process of "microwave pretreatment-grinding-intense magnetic separation for iron removal-fine-grained cassiterite flotation" to improve cassiterite recovery efficiency. This method utilizes the differences in microwave absorption capacity between cassiterite, iron-bearing minerals, and gangue to generate selective thermal stress and microcracks at the mineral interface, achieving efficient and selective dissociation of cassiterite from the intergrowth of iron-bearing minerals and gangue. Intensive magnetic separation then removes iron-bearing minerals, eliminating their interference with flotation. Finally, a ternary combined collector composed of SN01-1-hydroxyoxime acid, SN02-1-hydroxyoxime acid, and a flotation defoaming agent is used for cassiterite flotation. This method achieves efficient recovery of difficult-to-process cassiterite resources from coarse sand in tailings dams, providing an effective technical path for the resource utilization of historically inherited tailings.

The application provides a built-in drainage combined header dam building method and relates to the technical field of mine tailing pond dam building methods. The built-in drainage combined header dam building method comprises the following steps: laying drainage headers side by side according to the dam body direction, arranging a plurality of drainage headers in a ring shape to form a meandering frame, filling the inside of the drainage headers with cyclone tailings, filling the inside of the meandering frame with the tailings after the inside of the drainage headers is filled, arranging and laying new drainage headers above the laid drainage headers after the tailings in the meandering frame are completely consolidated, and repeating the above steps to finally form a sub-dam. The built-in drainage combined header dam building method has the advantages that the construction operation is simple, the tailings are used to build the dam, the dam body strength is guaranteed, the space is used to the maximum extent, the capacity of the tailings dam is improved, and the problems of difficult tailings dam building and high cost are solved.

This invention discloses a method for monitoring the safety of tailings dam waterlogged areas based on deep learning, comprising: Step 1, acquiring panoramic images of the waterlogged area and close-up images of the drainage outlet, preprocessing the images, and extracting basic features; Step 2, calculating the initial image texture entropy, and calculating the actual water level change based on the basic features; Step 3, calculating the real-time turbidity based on the basic features and the initial image texture entropy; Step 4, calculating the water flow state quantification value, and calculating the siltation coefficient based on the water flow state quantification value to determine the degree of siltation; Step 5, calculating the comprehensive hazard index based on the basic features, the actual water level change, the real-time turbidity, and the siltation coefficient, determining the risk level, and identifying the hazard type. This invention solves the problems of traditional machine vision monitoring algorithms having poor adaptability to dynamic interference in waterlogged areas, water quality assessment not being correlated with particle settling characteristics, water flow analysis not being coupled with hydrostatic resistance, and hazard judgment relying on a single indicator, which is prone to misjudgment.

This invention relates to the field of tailings dry beach detection technology, specifically to a tailings dry beach length measuring device and its construction method. It includes columns installed on both banks of a tailings dam, a truss installed at the top between the two columns, and a detection mechanism including two slide rails installed on opposite sides of the truss's bottom surface. Sliding blocks are slidably connected to the slide rails. A sleeve is installed at the top of the inner cavity of a protective cover, with limiting holes through the opposite side walls of the sleeve. A fixed column is movably inserted into the inner cavity of the sleeve, and an ultrasonic level gauge is fixedly connected to the end of the fixed column away from the sleeve. In this invention, the ultrasonic level gauge and the sleeve are installed by interlocking the elastic limiting column and the limiting hole. This allows for easy disassembly by using external tools to separate the elastic limiting column from the limiting hole to remove the ultrasonic level gauge, and for installation, simply inserting the fixed column into the sleeve and the elastic limiting column into the limiting hole. The entire disassembly and assembly process is simple and quick.

The invention discloses a three-dimensional topographic surveying and mapping method based on an unmanned aerial vehicle, and relates to the field of unmanned aerial vehicle surveying and mapping, and the method comprises the steps: dividing a dam body into regular dam surface monitoring units in a unified manner on the basis of carrying out multi-stage unmanned aerial vehicle three-dimensional topographic surveying and mapping on a tailing dam, and extracting dam surface response parameters at the scale of each monitoring unit at the same time; and after normalization processing, an initial risk index R is calculated and output, so that the comprehensive deviation degree of each monitoring unit in three dimensions of deformation, seepage and microstructure is quantitatively represented on the fine spatial scale of 2m * 2m. Compared with a traditional mode that safety evaluation is carried out only by means of a small number of monitoring sections or a single deformation index, the method has the advantages that through multi-parameter fusion and product type risk index construction, early symptoms such as local deformation acceleration, seepage anomaly and microtopography disturbance can be enhanced and reflected on the initial risk index R; and the sensitivity and precision of mine tailing dam hidden danger identification are improved.

The application relates to the technical field of tailing dam safety monitoring and early warning, in particular to a tailing dam multi-field coupling discrete element catastrophe early warning method based on an energy evolution criterion. Five modules are constructed in the Fangzhizhun software: a discrete element model construction module: a non-continuous medium model of a tailing particle accumulation body is established to represent the mechanical behavior between particles; a multi-field coupling calculation module: dynamic coupling simulation of a seepage field-stress field-chemical field-temperature field is realized; an energy evolution analysis module: a real-time tracking system energy accumulation, transformation and release process is realized, and a critical feature before catastrophe is extracted; an efficient algorithm optimization module: parallel computing and a reduced model are used to improve the calculation efficiency; a dynamic early warning decision module: based on the energy criterion and monitoring data fusion, a hierarchical early warning signal is output. The method breaks through the limitation of traditional single parameter early warning such as displacement and pore water pressure, realizes accurate capture of tailing dam catastrophe precursors from the energy driving perspective, and improves the timeliness and reliability of early warning.

The invention discloses a tailing pond dam slope and dam foundation seepage drainage cooperation method and system, and relates to the technical field of tailing pond intelligent seepage control, and the method comprises the steps: collecting external rainfall forecast data, combining the external rainfall forecast data with dam body-dam foundation state monitoring data, and carrying out the prediction analysis of the future seepage state of a dam slope and a dam foundation through a seepage-stress coupling numerical model, when it is predicted that an overrun risk exists in the infiltration line, a predictive drainage regulation and control instruction is generated; executing the predictive seepage drainage regulation and control instruction, and synchronously collecting real-time mechanical response data; and comparing and analyzing the seepage drainage regulation log and the predictive seepage drainage regulation instruction, and dynamically updating the seepage-stress coupling numerical model. Compared with the prior art, the seepage drainage regulation and control log and the predictive seepage drainage regulation and control instruction are compared and analyzed, and the seepage-stress coupling numerical model is dynamically updated, so that the reliability of the seepage-stress coupling numerical model is enhanced, and long-term accurate prediction and regulation and control are realized.

The invention discloses a method for constructing a tailing pond in a coal mining subsidence area and carrying out ecological reclamation, which comprises the following steps: acquiring the height of a water flowing fissure zone of the coal mining subsidence area, and judging the hydraulic communication condition between the water flowing fissure zone and the tailing pond according to the height of the water flowing fissure zone; if no hydraulic communication exists, riprapping and silt squeezing are conducted in the water accumulation area of the coal mining subsidence area, and a stable dam foundation is formed; on the stable dam foundation, an initial dam is constructed through coal gangue, and reinforcement treatment is conducted on the initial dam through high-strength geotechnical cloth; obtaining surface subsidence prediction data of the coal mining subsidence area, and dynamically adjusting the height of the initial dam, the ore drawing position and the position of a flood drainage pipe according to the surface subsidence prediction data; during the operation period of the tailings pond, dust suppression measures are adopted for green and environment-friendly operation; and after the tailing pond is closed, ecological restoration is conducted on the beach face of the pond area. According to the method, benign transformation of the subsidence area, the tailing pond and the reclamation land is achieved, and the ecological and economic value of the land is improved.

The invention belongs to the technical field of mineral processing, and particularly discloses a method for enhancing cassiterite flotation in the old tailing process of a tailing pond. Aiming at refractory tin-containing old tailings stockpiled in a tailings pond, a technical route of firstly grading and then grinding, cleaning by ultrasonic waves and an oxidizing agent, flotation and impurity removal of sulphide ore and efficient and synergistic collection of cassiterite is adopted. According to the method, an oxide layer and pollutants on the surface of cassiterite in the old tailings can be effectively removed, flotation recovery is conducted on cassiterite which is difficult to recover through a previous mineral separation technology through a process strengthening technology by combining the synergistic and complementary characteristics of alkyl hydroximic acid and organic acid collecting agents, and effective recovery of tin resources in the stockpiled old tailings is achieved.

The utility model provides an anti-seepage structure for a steep slope of a surface mine, which is characterized in that a plurality of grouting pipes extend downwards along an excavation slope surface of a raw ore heap, the plurality of grouting pipes are uniformly distributed in the extension direction of the excavation slope surface, and seepage slurry of any two adjacent grouting pipes intersects to form a waterproof curtain; the cement soil is stacked on the outer side of the excavated slope surface to form a newly stacked seepage interception dam, and a plurality of geogrids distributed at intervals in the longitudinal direction are arranged in the cement soil; a stacking slope is formed on the outer side of the cement soil through surface brushing, and the guniting layer is sprayed on the outer side of the stacking slope. A grouting pipe is arranged between an original ore heap excavation slope surface of the seepage interception dam and a newly-stacked tailing dam, and a waterproof curtain is formed by grouting, so that a new seepage interception dam is formed, and the waterproof performance of the seepage interception dam is ensured.

The invention relates to a continuous full-tailing damming and backfilling method for a large strip mine pit, which comprises the following steps: arranging a dam at a low position of slurry, enabling water above the slurry to enter a tank body in the dam, enabling the depth of a water layer in the tank body to be greater than that of the water layer above the slurry, enabling the water to be precipitated and layered in the tank body to form an upper clear water layer and a lower precipitation layer, absorbing the water from the clear water layer by a first pump, the blockage and damage of precipitated tailing fine particles to a pump and a pipeline are reduced, the continuous outward drainage of the mine pit is realized, and the continuous backfilling of slurry in the mine pit all year round is ensured; by arranging the dam and absorbing water in the dam, even if the depth of a water layer on slurry outside the dam is very shallow, it can still be guaranteed that the first pump continuously absorbs water from the inside of the dam and discharges the water out of the pit, so that the depth of the water layer outside the dam is reduced, the slurry area covered by the water layer in the pit is reduced, the slurry can be cured in time, and the quality of the cured slurry is improved.

The utility model discloses installation equipment for an impermeable membrane of a tailing pond. A winding machine is fixedly installed in an inner cavity of the machine frame, a controller is fixedly connected to the front end of the left side of the machine frame, conveying mechanisms are fixedly connected to the front end and the back end of the right side of the machine frame, each conveying mechanism comprises a supporting frame, a rotating rod and a winding wheel, and the supporting frames are fixedly connected to the front end and the back end of the right side of the machine frame. The top of the inner side of the supporting frame is movably connected with a rotating rod through a rotating shaft. Through the arrangement of the conveying mechanism, the impermeable film can be wound on the surface of the rolling wheel preferentially, one end of the impermeable film penetrates through the rolling machine to be sent out, when the rolling machine is started by the controller to work to convey the impermeable film, the impermeable film is sent out through the rolling machine and is matched with the rolling wheel and the rotating rod to rotate to send the film, and the rotating rod is matched with the supporting frame to be supported and fixed with the rack. Therefore, the effect of conveying the anti-seepage film is achieved, and the phenomenon that the anti-seepage film cannot be sent out on the surface of the rolling wheel is avoided.

The application provides a soil body deposition consolidation and bidirectional permeability coefficient testing device, which comprises a soil sample cylinder for layered soil sample loading of tailing materials; a vertical loading system controlled by a measurement and control system, which is used for applying a vertical loading force to the soil sample in the soil sample cylinder, so that the axial force reaches a predetermined value to perform drainage consolidation of the soil sample; a water supply and water head control system; a vertical permeation water collecting and flow measuring device, which is used for receiving the water seeping out of the soil sample cylinder; a horizontal permeation test rotating system, which is used for cutting the soil sample in the soil sample cylinder to measure the horizontal permeability coefficient of the soil sample; and a horizontal permeation water collecting and flow measuring device, which is used for receiving the water seeping out of the soil sample in the horizontal permeation test rotating system. The application can realize one-dimensional deposition consolidation test of soil in the soil sample cylinder, realize simulation test of the deposition consolidation process of soil under the conditions of lateral stress state and different overburden loads, and simultaneously perform vertical and horizontal permeation tests, so as to provide more accurate parameters for stability analysis of tailing dams.

This utility model relates to the field of testing equipment technology, specifically a simple testing device for the permeability coefficient of fractured media. The testing device provided by this utility model includes a two-dimensional test chamber for containing fractured media and the inflow of water. A water valve is located at the bottom of the two-dimensional test chamber for collecting outflow flow data. It also includes an overflow tank located on one side of the top of the two-dimensional test chamber, test pieces distributed on both sides of the two-dimensional test chamber, and a support component for supporting the bottom of the two-dimensional test chamber. It records outflow flow data, top head data, and pressure head data on both sides, and calculates the permeability coefficient at different heights on both sides of the medium using Darcy's law. This invention uses a simple and low-cost two-dimensional testing device that can simultaneously achieve constant head control, automatic multi-point head monitoring, and simple analysis of fracture distribution, meeting the rapid diagnostic needs of engineering scenarios such as slope stability assessment and tailings dam seepage prevention detection.

This invention relates to a method for treating low-concentration uranium-containing wastewater. After collection via tailings dam percolation, the uranium-containing wastewater is first adjusted to approximately 7, then a flocculant is added for sedimentation, yielding a clear liquid and a concentrated underflow slurry. The concentrated slurry is returned to the tailings dam for percolation collection. The clear liquid first passes through a fixed-bed adsorption tower to adsorb uranium and intercept suspended solids. The effluent then passes through a moving-bed adsorption tower to adsorb uranium before being discharged in compliance with standards. By adjusting the pH and using a fixed-bed adsorption tower connected in series with a moving-bed adsorption tower, the treatment of low-concentration uranium-containing wastewater is improved, enhancing the stability of the treatment process and significantly extending the resin replacement cycle from one month to five months. The resin saturation is increased from 1.6 mgU / ml·R to 7 mgU / ml·R, saving on the cost of subsequent uranium recovery from the uranium-containing resin.

This invention relates to the field of geotechnical engineering physical simulation testing technology, and provides a simulation test method and system for tailings dam slope instability, comprising: acquiring a set of statistical characteristic parameters of tailings sediment in a stochastic field model, and constructing a quantitative model of tailings dam spatial variation including a lens body by using a stepwise decomposition method; building a physical test model on a bottom friction test bench based on the quantitative model of tailings dam spatial variation; applying simulated gravity load to the physical test model by starting the bottom friction test bench, and acquiring image data in real time during the test using a high-speed camera; processing the image data based on digital image correlation to obtain displacement and strain fields, and determining the instability catastrophic data of the tailings dam slope under the action of the lens body based on the evolution of the displacement and strain fields.

The application discloses a tailing pond dam slope and dam foundation seepage coordination method and system, relates to the intelligent seepage control technical field of tailing pond, and comprises the following steps: collecting external rainfall forecast data, combining with dam body-dam foundation state monitoring data, predicting and analyzing future seepage states of the dam slope and the dam foundation through a seepage-stress coupling numerical model, generating a predictive seepage drainage regulation instruction when it is predicted that the saturation line has an out-of-limit risk, executing the predictive seepage drainage regulation instruction, synchronously collecting real-time mechanical response data, comparing and analyzing the seepage drainage regulation log and the predictive seepage drainage regulation instruction, and dynamically updating the seepage-stress coupling numerical model. The application compares and analyzes the seepage drainage regulation log and the predictive seepage drainage regulation instruction, and dynamically updates the seepage-stress coupling numerical model, thereby enhancing the reliability of the seepage-stress coupling numerical model and realizing long-term accurate prediction and regulation.