70 results about "Gold deposit" patented technology

The invention discloses a gold mine resource potential prediction method fusing a geological knowledge graph and a large model, and belongs to the technical field of mineral resource prediction, and the method comprises the steps: aggregating geological exploration data streams, constructing a space-time event knowledge graph, driving a pre-trained large model to carry out continuous tensor projection, and carrying out prediction. Encoding the metallogenic mechanism into a gauge tensor to construct a geological semantic Riemannian manifold; constructing a neural differential equation set representing metallogenic dynamics on the manifold; by taking observation data as a boundary, calculating an energy dissipation minimum value path through variational solution and geodesic line optimization; locking and representing a negentropy flow accumulation area of the ore body through phase-space reconstruction and persistence coherence test; and holographic mapping is carried out on the accumulation area to form a materialized prospecting target area, and a dynamic causal transcription report is generated. According to the method, a generative dynamic inversion normal form based on a physical mechanism is adopted, metallogenic prediction is reconstructed into solving of an evolution problem of a differential equation in a manifold space, the space-time inevitability of a metallogenic system can be replayed from static observation data, and a prospecting target region with causal interpretation is generated.

The invention discloses a hydrothermal vein type gold deposit alteration zoning remote sensing identification method, and the method specifically comprises the following steps: S1, carrying out multi-platform remote sensing cooperative interpretation, and obtaining the initial alteration zoning information of a regional scale. According to the hydrothermal vein type gold deposit alteration zoning remote sensing identification method, through organic combination of multi-platform remote sensing cooperative interpretation and unmanned aerial vehicle fine mineral mapping, cross-scale detection from regional scale preliminary alteration zoning identification to target region scale alteration lithofacies accurate delineation is realized; the problems that a traditional remote sensing method is single in scale and insufficient in precision in alteration zoning recognition are effectively solved. According to the method, the complementation advantages of multi-temporal optical remote sensing, synthetic aperture radar and thermal infrared remote sensing data are utilized, accurate recognition of key altered minerals is achieved in combination with hyperspectral data of the unmanned aerial vehicle, and the certainty of alteration zoning boundaries and the accuracy of lithofacies classification are remarkably improved.

The invention relates to the crossing field of mineralogy and geochemistry, in particular to a mineral and element relation analysis method for gold-bearing minerals based on image matching and data fusion and application of the mineral and element relation analysis method. Comprising the steps of ore sample processing, gold-bearing mineral image calibration through AMICS, trace element scanning through fixed-point EPMA and EDS, image-level matching and spatial data fusion and gold-bearing mineral-element relation analysis. According to the method, the AMICS mineral map and the EPMA element information are fused, relation analysis of trace elements in the gold ore and visual reconstruction of a mineral-element corresponding mechanism can be achieved, and effective data and image models are provided for microcosmic metallogenic information requirements in digital mine construction.

The invention relates to the field of enrichment and extraction of waste gold ores, in particular to an element distribution detection method for an enrichment and extraction process of low-grade waste gold ores. The method comprises the following steps: firstly, obtaining a standardized occurrence medium based on a collected sample, and calculating absolute mass of elements actually carried by the standardized occurrence medium; then, based on the absolute mass of the elements actually carried by the standardized occurrence medium, an element occurrence form distribution normalization algorithm and a distributed element recovery efficiency analysis algorithm are adopted respectively, and the real occurrence probability distribution and the mass flow direction proportion of the elements in the standardized occurrence medium are obtained; and finally, based on the real occurrence probability distribution and the mass flow direction proportion of the element in the standardized occurrence medium, obtaining the enrichment selectivity intensity of the element through an occurrence medium collaborative enrichment coupling algorithm. The technical problems that the element occurrence information in the low-grade gold ore waste rock is not clear, the element mass migration path in the output branch of the extraction process is not clear, and the enrichment rule is difficult to track are solved.

The invention relates to the technical field of geophysical exploration, and discloses a three-dimensional fine electromagnetic detection method for ore control fracture of a deep gold ore. The method comprises the following steps: arranging a measuring point array to emit a coding artificial electromagnetic pulse signal, and synchronously receiving a plurality of induced magnetic field responses to form an original data volume; estimating a noise baseline based on statistical distribution and adaptively calibrating data; constructing a spatial correlation network by using the time sequence correlation of adjacent measuring points, and identifying a high-connectivity cluster as a suspected fracture region; extracting a regional time sequence to perform multi-level clustering, and screening a typical fracture response mode; based on the mode set global matching enhancement response, generating an enhancement data volume; multi-scale three-dimensional tensor decomposition is adopted to extract a tensor kernel component, and an electrical structure is reconstructed according to the spatial compactness and energy attenuation characteristics of the tensor kernel component; and finally, iteratively fusing with a geological constraint model to output a three-dimensional ore control fracture fine detection result. According to the method, intelligent identification and high-precision imaging of the deep fracture are realized.

The invention relates to the technical field of geological exploration, in particular to an X-ray fluorescence spectrometer and geological radar combined gold vein rapid positioning method, which comprises the following steps: S1, arranging an exploration survey line in a pre-selected exploration area; s2, along the same measuring line, measuring the content of the gold mineralization indication element in the earth surface or the shallow medium by using an X-ray fluorescence spectrometer, synchronously recording the position information of a measuring point, and generating element content spatial distribution data; the gold mineralization indicating element comprises at least one of arsenic As, antimony Sb and mercury Hg; s3, carrying out detection by using a geological radar along the same measuring line, obtaining a reflected wave signal of an underground medium, synchronously recording position information of a detection point, identifying fault zone and joint zone geological structure anomalous bodies through data processing, and generating geological radar space distribution data; through XRF and GPR data fusion, a CAI quantitative model is established to precisely delineate an ore prospecting target area, a hidden ore body is effectively identified, the exploration precision and efficiency are greatly improved, and the exploration cost is reduced.

The invention belongs to the technical field of gold mineralization data processing, and particularly relates to a gold mineralization data processing method based on a metric learning enhanced variational auto-encoder, and the method comprises the steps: carrying out the standardization processing of geochemical multi-element original data, and screening out feature vectors of which the contribution degrees to anomaly recognition exceed a set threshold value, and forming a training set; training a metric learning enhanced variational auto-encoder model comprising an encoder, a decoder and a metric constraint module by using the training set; a trained metric learning enhanced variational auto-encoder model is applied to actual geochemical data, geochemical sample points with obvious abnormal features are identified by calculating reconstruction errors of samples in the actual geochemical data and category distances of potential spaces, complex geochemical element distribution can be described more accurately, and the accuracy of geochemical element distribution is improved. And the sensitivity and the recognition capability of the subtle anomaly are improved.

The invention discloses a gold mine prediction method based on deep ground drilling data, and relates to the field of mineral resource exploration. The problems that a traditional method depends on artificial experience, ignores a multi-source geological element space coupling relation and lacks three-dimensional probability expression, so that prediction precision is insufficient are solved. Carrying out weight distribution calculation on each key mineralization factor by adopting the coupling strength coefficient, and carrying out comprehensive processing on numerical values of the plurality of mineralization factors through a weighted fusion algorithm to obtain a comprehensive mineralization index distribution diagram layer; based on the numerical value distribution characteristics of the three-dimensional mineralization index field, establishing a mineralization probability prediction model by adopting a Bayesian network algorithm, and if the mineralization index of a certain spatial position is higher than a critical value, calculating a gold ore occurrence probability numerical value of the position; and converting the gold ore occurrence probability value into a probability distribution body under a space coordinate system through a three-dimensional modeling algorithm, and performing rendering processing on the probability distribution body by adopting a volume rendering technology to obtain a three-dimensional visual model of the gold ore occurrence probability.

The invention provides a gold mine prospecting target area intelligent delineation method and system based on multi-source geological data, and relates to the technical field of mineral exploration. Remote sensing images, geophysical exploration and earth surface rock chemical data associated with gold mine mineralization are collected, and according to the gold mine mineralization characteristics, the gold mine prospecting target area intelligent delineation method and system based on the multi-source geological data are obtained; correcting gold element space distribution difference, decomposing mineral spectrum mixing information, and strengthening mineralization related characteristic information. Then mining a data feature association relationship based on the feature information, the physical exploration data and the geochemical data, constructing a metallogenic association network, and inputting the feature information to obtain metallogenic association parameters; calculating mineralization probability values point by point in combination with spatial distribution characteristics of the multi-source geological data, generating a continuous mineralization probability curved surface, finally screening areas with probability values higher than a preset threshold value, locking a conforming closed area in combination with a typical gold ore deposit model, and recording coordinate boundary information to generate a gold ore prospecting target area map. The intelligent and accurate delineation of the gold ore prospecting target area can be realized.

The invention is suitable for the technical field of gold mine information processing, and provides a gold mine information processing method and system based on multi-source data fusion. According to the method, a training sample data set is constructed, a basic prediction model is trained and tested, and a gold mine prediction model is generated; performing multi-source data acquisition and preprocessing on the target area; performing feature extraction on the multi-source grid layer; performing multi-source fusion on the multi-source feature layer; and importing into a gold mine prediction model, exporting a gold mine probability distribution map, screening a plurality of gold mine high-potential zones, and generating a metallogenic potential zoning map. Multi-source data acquisition and preprocessing, feature extraction and multi-source fusion, generation of a multi-source fusion layer, processing through a gold mine prediction model, exporting of a gold mine probability distribution map, screening of a plurality of gold mine high-potential regions, and generation of a metallogenic potential zoning map can be performed, so that the problem of data fragmentation is overcome, accurate and effective gold mine information processing is realized, and the gold mine prediction efficiency is improved. And a mineralization potential zoning map can be generated, so that the practicability is effectively enhanced.

The invention relates to the technical field of intelligent exploration, in particular to a gold mine target prediction method and system based on metallogenic causal orientation, which is applied to gold mine target prediction in a shallow coverage area, and comprises the following steps: acquiring earth materialization data of a to-be-predicted area, and inputting the earth materialization data into a target prediction model, obtaining a prediction result of whether the target area is a target area; wherein the target region prediction model is trained through the following steps: acquiring historical data of a target region; based on the geological prior constraint set, obtaining a historical metallogenic causal map through a PCMCI algorithm; performing causal feature extraction on the historical metallogenic causal atlas to obtain corresponding causal-oriented features; and inputting the causal-oriented features into a target region prediction model, and optimizing model hyper-parameters through a gradient descent algorithm to obtain a target region prediction model for performing gold mine target region prediction on the shallow coverage region. The method not only improves the robustness and interpretation of the model, but also realizes accurate target prediction in a shallow coverage area.

The present application relates to the technical field of geomagnetic measurement, in particular to a concealed copper-gold deposit positioning method based on CSAMT and TEM joint inversion, which comprises training a deep range identification model and a shallow range identification model, outputting a deep range value and a shallow range value, dividing into a TEM weight area, a joint weight area and a CSAMT weight area, respectively performing differential weighting fusion, obtaining a two-dimensional comprehensive resistivity structure map, and constructing a three-dimensional comprehensive resistivity structure map. The present application establishes a quantitative mapping model between the effective detection depth and the geological parameters of the work area, realizes intelligent and objective definition of the detection range, and adaptively divides the weight area, which not only ensures that the high-resolution method is dominant, but also suppresses the multiple solutions of a single method by fusing two kinds of data, and at the same time improves the reliability and accuracy of resistivity imaging in the full depth section, thereby providing key technical support for accurately delineating concealed ore bodies and reducing drilling risks.

The application provides a three-dimensional geological modeling method and system for ductile shear zone type gold exploration, and relates to the technical field of gold exploration modeling. The application extracts a plurality of alteration anomaly zones related to gold mineralization hydrothermal alteration by acquiring multispectral remote sensing data of an exploration area; superimposes the anomaly zones to identify a prospecting target area and acquire electrical parameter data such as apparent resistivity and apparent polarization rate; determines the structural geological distribution in combination with surface geological mapping, divides a prospecting unit in space superposition with the target area, sets the electrical parameter range to establish a three-dimensional prospecting unit framework; and obtains the three-dimensional distribution of electrical parameters and the geological unit boundary by jointly inverting the electrical parameters as measured data, the framework and the parameter range, generates a three-dimensional geological model reflecting the spatial distribution of the gold mineralization body, and can accurately depict the spatial distribution of the ductile shear zone type gold mineralization body, thereby supporting efficient exploration.

The invention discloses an ore sorting device for gold ore mining, and belongs to the technical field of ore sorting, the ore sorting device comprises a box body and a guide assembly mounted on the box body, a vibration motor is mounted on the box body, the output end of the vibration motor is connected with the guide assembly, a transparent screening box is mounted on the guide assembly, and a supporting assembly is mounted on the transparent screening box; a hydraulic telescopic rod is installed on the supporting assembly, a connecting block is installed at the output end of the hydraulic telescopic rod, a screening net is installed on the connecting block, a discharging plate is obliquely installed on the box body, and an ore discharging opening is formed in the box body. According to the ore screening device, the hydraulic telescopic rod is arranged, the hydraulic telescopic rod is started, the screening net can be driven to be pushed, then ore in the transparent screening box can be pushed out, slides onto the discharging plate through the screening net and is discharged out of the box body through the discharging plate, manual discharging of workers is not needed, and discharging is convenient.

The invention relates to the field of data analysis, in particular to a gold industry heterogeneous data analysis and knowledge graph construction method. The method comprises the steps that a gold mine multi-modal heterogeneous original data set is acquired, semantic normalization analysis and cross-modal consistency verification based on domain ontology are carried out on the gold mine multi-modal heterogeneous original data set, and a multi-modal gold geological knowledge information set is generated; based on this, performing deep association mining of fusion causal inference and a spatio-temporal evolution mode, and generating a candidate golden knowledge unit set with causal logic and spatio-temporal constraints; on the basis, taking a known typical gold deposit as a verification anchor point, carrying out credibility backtracking verification and causal association strength screening on knowledge units, and generating a verification gold knowledge unit set; and based on this, modeling and iterative construction of the knowledge graph are carried out, and the gold exploration knowledge graph serving deep and hidden gold mine intelligent prediction is generated. In the heterogeneous data analysis process, the intelligent prediction accuracy of the ore body is improved.

The present application relates to the field of quantum magnetic field measurement, and discloses a CSAMT and transient electromagnetic combined detection method for concealed copper-gold mine exploration, comprising the following steps: establishing a survey area coordinate system and arranging comprehensive geophysical survey lines in the survey area; sending alternating current by using the controllable source audio frequency magnetotelluric method along the survey line, and combining a quantum geomagnetic field strength meter to obtain the earth's electromagnetic response data; sending pulse current by using the equivalent counter magnetic flux transient electromagnetic method, and placing a quantum magnetometer on the zero magnetic flux plane of the primary field to obtain the stratum pure secondary field transient decay signal; inputting the data into a noise reduction system, and extracting the noise-reduced data by using an adaptive common-mode noise suppression algorithm; performing inversion processing on the noise-reduced data to obtain a two-dimensional resistivity section and delineate the concealed ore body. The present application overcomes the delay of the traditional induction coil, captures deep and extremely weak signals with high precision, and strips strong interference at the physical and algorithm levels, thereby improving the inversion reliability and ore body positioning accuracy.

The invention relates to the technical field of mineral exploration, in particular to a multi-source geological data fusion-based Carlin type gold mine prospecting prediction method, which comprises the following steps of: constructing a multi-dimensional identification mark system covering geological, geophysical and geochemical elements, and integrating multi-source data; analyzing the tectonic framework to respectively extract related information elements of deep guide ore and shallow accommodation ore structures, and establishing a structure coupling model reflecting the spatial configuration relation of the deep guide ore and the shallow accommodation ore through coupling analysis; performing spatial correlation quantitative evaluation on the geochemical anomaly information and the structural coupling model, constructing a three-dimensional prediction model, and delineating a gold mineralization anomaly target region; and carrying out uncertainty quantitative evaluation on the model, determining the sensitivity and confidence interval of the key parameters, and carrying out iterative optimization on the model to generate a final prediction result. According to the method, the effective metallogenic structure system can be clearly identified, and the prediction conclusion is reliably quantified, so that the precision and practicability of prospecting prediction are improved.

The application discloses a kind of adjustable flat gold mine sampling drilling machines and working methods thereof, belong to the field of drilling sampling, including frame and setting on frame lifting type sampling mechanism, the four corners of frame are provided with adjustable support leg, for adjusting the drilling angle of lifting type sampling mechanism;Adjustable support leg includes fixed seat fixed on frame and mobile seat vertically slidingly connected with fixed seat by lifting adjustment assembly, the bottom end of mobile seat is provided with moving wheel.The above-mentioned kind of adjustable flat gold mine sampling drilling machine and working method thereof can adapt to rugged terrain, realize vertical or directional accurate sampling, operation is stable, safe and has strong versatility.

This invention discloses a method for constructing a comprehensive gold prospecting indicator system and accurately predicting gold deposits in shallowly covered areas, relating to the field of mineral exploration technology. The method includes: collecting multi-source data required for prospecting prediction; the multi-source data includes geological data, geophysical data, geochemical data, and remote sensing data; preprocessing the multi-source data to obtain a processed dataset; establishing a gold prospecting indicator system reference table for the study area; gridding the preprocessed dataset according to the reference table to obtain a "sample-feature" dataset; dividing the "sample-feature" dataset into training and testing sets; establishing a hybrid convolutional neural network model; training the hybrid convolutional neural network model on a Cu element dataset and saving it as a pre-trained model; and transferring the feature fusion results through a deep transfer learning network model to obtain prediction results for different features. This provides a systematic, quantitative, and intelligent method for prospecting in shallowly covered areas.

The invention discloses a gold mine mining parameter optimization method and device based on digital twinning and a medium, and relates to the technical field of mining engineering.The gold mine mining parameter optimization method comprises the steps that a high-fidelity digital twinning body is constructed, a micro-proxy simulator is established, and an initial twinning log is generated; recording the combined observation three-channel and twinborn state in the initial twinborn log; a posteriori parameter set is used as a priori, hierarchical multi-objective optimization of opportunity constraint is executed under accelerated evaluation of a microagent simulator to obtain a gold mine mining parameter set, and a version package is generated; and implementing staged issuing and operation instruction mapping by using the version package, and writing back records of combined observation of three channels and twin states to form a new round of initial twin logs. According to the method, a posterior parameter set containing a confidence boundary is output under weight constraint and consistency check by using combined likelihood robust online inversion, so that charge linear density, detonation delay segmentation, rock mass equivalent strength and joint parameters are prompted to rapidly and stably converge and are used as reliable input of opportunity constraint layering multi-objective optimization.

To provide a method capable of easily estimating a position of a deepest part of a mineral vein in a short period.SOLUTION: A depth estimation method of a hydrothermal vein such as a hydrothermal vein-type gold deposit, includes the steps of: measuring a temperature of each of a plurality of fluid inclusions contained in quartz collected from different depths of a target vein under prescribed conditions, for example, by microthermometry to calculate a temperature and a salt concentration of hydrothermal water when the hydrothermal water is incorporated into the quartz; calculating a boiling curve representing a relation between a boiling point and a depth of the hydrothermal water having the salt concentration; and estimating a position of a deepest part of the target vein by collating the boiling curve with a relation curve between the temperature and the depth of the hydrothermal water using an ancient groundwater surface as a reference, under geological conditions including the target vein.SELECTED DRAWING: Figure 1

This invention discloses a geophysical anomaly data management system and method for gold mine exploration, relating to the field of data analysis technology. The system includes: a historical data management module, a feature extraction and analysis module, a validity assessment model construction module, and a real-time data acquisition and validity assessment module. The historical data management module divides historical geophysical anomaly data into historical valid data and historical invalid data. The feature extraction and analysis module analyzes the deviation between historical valid data and historical invalid data, extracts and marks key validity features. The validity assessment model construction module constructs a comprehensive validity assessment model based on the key validity features and calculates a comprehensive validity assessment index threshold. The real-time data acquisition and validity assessment module acquires real-time geophysical anomaly data, extracts key validity features, calculates a real-time comprehensive validity assessment index, and identifies real-time valid data.

The present application belongs to the field of surrounding rock rock burst early warning, and provides a rock burst early warning method and system based on microseismic energy and support stress coupling monitoring, which carries out deep gold mine roadway surrounding rock microseismic monitoring and anchor rod support stress monitoring; a microseismic energy dataset is established, and statistical analysis is carried out to obtain a microseismic energy early warning index; the anchor rod support stress is analyzed, and then the anchor rod stress early warning index is determined; the microseismic energy early warning index and the anchor rod stress early warning index are information fused, a joint early warning method based on microseismic energy and support stress is established, and the surrounding rock rock burst grade is evaluated and early warned. The present application can effectively reduce the rock burst risk and protect the safety of construction personnel and mechanical equipment.

The invention relates to a method for enhancing the biological pre-oxidation gold extraction effect of high-arsenic low-sulfur gold concentrate in a high-altitude area. A method for enhancing the biological pre-oxidation gold extraction effect of high-arsenic low-sulfur gold concentrate in a high-altitude area comprises the following steps that (1) the high-arsenic low-sulfur gold concentrate is sequentially subjected to biological pre-oxidation and countercurrent washing treatment, and ore pulp is obtained; (2) adding an oxidizing agent into the ore pulp, and carrying out enhanced oxidation; and (3) lime is added into the ore pulp subjected to enhanced oxidation, after the ore pulp is adjusted to be alkaline, a golden cicada environment-friendly gold extraction agent and activated carbon are added, and the mixture is used for leaching gold. According to the method for strengthening the biological pre-oxidation gold extraction effect of the high-arsenic low-sulfur gold concentrate in the high-altitude area, the oxidizing agent matched with the technology is selected after the biological pre-oxidation technology, the oxidation effect of the gold-bearing minerals such as arsenopyrite and pyrite is further strengthened, wrapped gold in the gold-bearing minerals is fully opened, and the gold recovery rate is increased.

This invention provides a prospecting method for sulfide-type gold deposits in covered areas, comprising the following steps: obtaining the geological characteristics of typical gold deposits and delineating areas with similar geological conditions to known typical gold deposits; obtaining gas geochemical measurement results from each detection point; performing first-dimensional and second-dimensional classification based on the gas geochemical measurement results from each detection point; classifying prospecting target areas by combining the first and second-dimensional classifications; and delineating prospecting target areas and verification sequences based on the prospecting target classification results. This method achieves precise quantitative assessment of the distribution of sulfur-bearing gases and the enrichment degree of gold through a two-dimensional classification system, and further achieves precise classification of prospecting target areas through multi-dimensional combinations. This system effectively filters out the risk of misjudgment from single abnormal indicators, ensuring a high degree of matching between target area classification and the probability and scale of gold deposit existence, significantly improving the scientific nature of prospecting decisions and the success rate of target area verification.

The application provides a copper sulfide gold-bearing ore flotation method based on interface selective oxidation and copper ion synergistic effect, and relates to the field of mineral flotation. The method comprises the following steps: carrying out first mixing and first reaction on the pulp of copper sulfide gold-bearing ore treated by an organic sulfur inhibitor and a mild oxidation medium to obtain oxidized pulp; carrying out second mixing and second reaction on the oxidized pulp and a copper ion regulating component to obtain copper ion regulated pulp; and carrying out third mixing and flotation on the copper ion regulated pulp, a collector and a foaming agent to obtain gold-containing concentrate. The method does not aim to improve the overall floatability of copper sulfide minerals, realizes efficient recovery of gold existing in copper sulfide minerals under the premise of not damaging the original copper-molybdenum separation system selectivity, and is suitable for various copper sulfide gold-bearing ore systems.

The utility model relates to the technical field of a portable geophysical detector for gold mine geological exploration, in particular to a portable geophysical detector for gold mine geological exploration, which comprises a box body, and a wire winding groove, a support groove and an equipment groove are arranged in the box body. A cable coil capable of accommodating a cable is arranged in the cable coiling groove; a geophysical detector body is arranged in the equipment groove; a support mechanism used for supporting and handheld use of the geophysical detector body is arranged in the support groove. Through the device, the portability of the whole equipment is improved, the assembling and disassembling processes of the equipment are simplified, the time and energy of operators are saved, the complexity of equipment operation is reduced, and the working efficiency is improved.

The invention discloses crushing and separating equipment for gold ore, and belongs to the technical field of mining machinery. Comprising an adjusting unit and a crushing and separating device, a top feeding port cooperates with a variable-inclination-angle inclined flow guide wall, primary gold ores or tailings with different granularities, humidity and viscosities evenly slide down through gravity, and the phenomena of accumulation, blockage and wall adhesion are eliminated; the stepped hammer row and the floating cutter shaft form a'multi-time small-energy 'impact-shearing double mechanism; meanwhile, peak load and energy consumption are reduced, a single hammer can be replaced, and maintenance is easy and convenient; the gap between the double-blade shearing head and the fixed lining plate is hydraulically and steplessly adjusted, so that the same equipment can meet the requirements of two working conditions of pre-crushing before lump ore grinding and re-crushing of tailings, and the whole machine or a cavity does not need to be replaced; the same-direction / reverse-direction flow guide fins form a'throwing-vortex 'dual mode in the cavity, qualified particles are rapidly discharged, coarse particles automatically return to a crushing area, built-in grading is achieved, and external screening equipment and the occupied area are saved.

The invention relates to the technical field of ore deposit positioning prediction, in particular to a quartz vein type gold deposit positioning prediction method based on artificial intelligence, which comprises a surrounding rock monitoring acquisition module, a mineralization characteristic construction module, a negative sample screening module, a negative sample generation module and a boundary correction analysis module. According to the method, multi-dimensional geological information of surrounding rock space point locations is obtained in real time through automatic collection and linkage analysis, a data system is established by combining signal segmentation identification and parameter classification and unifying a space expression mode of metal signals and strain characteristics and utilizing space numbers and time labels, and the gold element and various mineral parameter change trends are compared, so that the gold element and various mineral parameter change trends are compared, and the gold element and various mineral parameter change trends are combined. Precise description of mineralization characteristics in a continuous space is realized, thickness and confidence analysis is introduced to optimize negative sample generation and screening, a spatial negative sample distribution structure is dynamically adjusted, a boundary region is automatically checked and corrected by relying on a reasoning result, and spatial consistency of ore body distribution and high reliability of a prediction result are realized.

A deep learning-based intelligent detection system for gold mine exploration relates to the technical field of geological exploration. The system constructs a historical mine model of a mine and divides it into several local ore bodies. Different first-class difference sets are obtained according to the extension law and lateral trend of each local ore body. Different second-class difference sets are obtained according to the element content of each local ore body. An ore body prediction model is constructed based on the first-class difference sets and the second-class difference sets. The ore body prediction model is used to obtain a predicted ore body. The predicted ore body is verified to obtain a distribution position. The predicted mine model is constructed in combination with the historical mine model. The distribution position is detected to obtain new resource reserves. The system can form an effective prediction mechanism for mineral exploration and improve the efficiency of mineral exploration.