98 results about "Gold deposit" patented technology

The invention belongs to the field of surrounding rock rockburst early warning, and provides a rockburst early warning method and system based on micro-seismic energy and support stress coupling monitoring, which are used for carrying out deep gold mine roadway surrounding rock micro-seismic monitoring and anchor rod support stress monitoring. Establishing a micro-seismic energy data set, and carrying out statistical analysis to obtain a micro-seismic energy early warning index; the anchor rod supporting stress is analyzed, and then an anchor rod stress early warning index is determined; and carrying out information fusion on the micro-seismic energy early-warning index and the anchor rod stress early-warning index, establishing a combined early-warning method based on micro-seismic energy and support stress, and carrying out evaluation and early-warning on the rock burst grade of the surrounding rock. Rockburst occurrence risks can be effectively reduced, and safety of constructors and mechanical equipment is guaranteed.

The invention discloses a satellite-air-ground-well multi-method collaborative shallow coverage area copper-gold ore exploration method, and relates to the technical field of mineral resource exploration, regional alteration mineral information is extracted in a shallow coverage area, and a porphyry type copper-gold ore prospecting prospective area is determined according to alteration mineral space distribution and zoning characteristics thereof; in the prospecting prospective area, a key exploration area is selected according to metallogenic geological conditions, aviation geophysical prospecting and aviation hyperspectral remote sensing investigation are carried out, and a prospecting favorable area is delineated; performing prospecting prediction on related ore types in the favorable prospecting area, and delineating a prospecting target area; determining a new drilling position in the target area; drilling verification and well logging are carried out, ground-well geophysical prospecting is carried out to describe the spatial form of the metallogenic geologic body, and the prospecting effect is expanded. According to the method, the favorable prospecting area and the prospecting target area can be more accurately delineated, the spatial form of the ore body is finely delineated, a reliable basis is provided for prospecting of the porphyry type copper-gold ore, and the prospecting success rate and efficiency of the porphyry type copper-gold ore in the shallow coverage area are greatly improved.

The invention relates to a dynamic detection method, system, equipment and medium for a blind gold mine in a coverage area, and belongs to the technical field of mineral resource exploration, the method comprises the following steps: collecting historical geochemical exploration data and geographic coordinate data of a target coverage area, and screening a target test profile based on drilling mine finding position and coverage layer thickness information; collecting soil shallow gas data on the test section and performing anomaly analysis to generate a gas anomaly space coordinate set; taking an area marked by the gas anomaly space coordinate set as a preset sampling point, acquiring soil sample attribute data of the preset sampling point, inputting the soil sample attribute data into a pre-configured granularity-element correlation model, and outputting a coverage type judgment label; and calling a corresponding geochemical method combination from a preset method library, generating an execution instruction list, carrying out element abnormal data acquisition and spatial overlay analysis on the target coverage area, and generating an ore body prediction probability distribution diagram and a drill hole layout coordinate list. The accuracy of ore body positioning can be improved.

The invention discloses a determination method for different origins of metallogenic fluids in a mountain-building type gold deposit in the south of Jiangsan. According to the method, through innovative sample collection and pretreatment, high-resolution sampling and fine treatment are carried out on specific parts of an ore deposit; advanced fluid inclusion comprehensive analysis is adopted, and inclusion information is accurately obtained in combination with multiple technologies; high-precision stable isotope determination and innovative interpretation in combination with a regional database are applied; element geochemical deep analysis and innovation index application are carried out, and SR-XRF and a machine learning algorithm are introduced; and finally, through comprehensive data fusion and intelligent analysis, constructing an intelligent platform and drawing a three-dimensional evolution model. The method can effectively integrate multi-source data, accurately determine the origin of the ore-forming fluid, overcome the limitation of a traditional method, improve accuracy and reliability, provide powerful support for deep exploration of ore deposit causes and prospecting exploration, and have important theoretical and practical significance.

The invention belongs to the technical field of geological prospecting, and particularly discloses an exploration method for constructing an altered rock type gold mine in a shallow coverage area, which comprises the following steps of: firstly, optimizing a working area by using regional geochemical prospecting abnormity, and gradually reducing a prospecting target area by using 1: 25,000 geochemical measurement, 1: 10,000 soil profile measurement and 1: 10,000 geological grass survey; identifying a linear negative topographic development section by using an unmanned aerial vehicle, quickly positioning a gold-bearing structure alteration zone by using a manner of stripping soil and adopting a detection sample, and performing ground surface control by using a groove exploration project; and a target position is predicted by combining the ore body grade, the ore body thickness and the product contour map of the ore body grade thickness by utilizing a structure superposition halo method, drilling engineering deep verification is carried out, and finally the topography and the landform are recovered to find out the shape, the occurrence, the scale and the resource potential condition of the gold mineralized body. The method is simple and convenient, small in environmental disturbance, low in cost investment and good in coverage area effect, the purpose of rapid prospecting is achieved, and an excellent gold ore prospecting effect is achieved in the Heidong region of the Qieemun Tagean, the cliff and the Qieemun Tagean.

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 relates to the technical field of mineral exploration, and discloses a method for determining a heat source center of a gold and copper ore area containing alunite minerals, which comprises the following steps of: determining a to-be-detected area of a target mining area, sampling surface rocks according to a preset grid or section, and acquiring a plurality of rock samples and corresponding original acquisition points; carrying out mineral component analysis on the plurality of rock samples, screening the alunite-containing samples to obtain a plurality of alunite-containing samples, and screening effective samples; performing elemental component analysis on the effective sample, and extracting elements and contents related to gold mineralization or copper mineralization in the effective sample; setting a potential heat source center, calculating the distance between each effective sample and the potential heat source center, introducing a distance attenuation index, establishing an objective function of the element content and the distance, and adopting a gradient descent method to perform inversion solution by minimizing the objective function to obtain coordinates of the potential heat source center, namely the determined heat source center of the gold ore or the copper ore; the method improves the accuracy of gold and copper ore area heat source center exploration.

The invention relates to a gold mine three-dimensional modeling and target prediction method based on multi-source data fusion. Aiming at the problems of low grade and large burial depth span of the layered hydrothermal gold deposit and two-dimensional limitation and distortion caused by single-source data existing in a traditional modeling method, a three-dimensional joint database is constructed by integrating multi-source data. According to the technical scheme, a three-dimensional joint database is utilized, earth surface, geological stratum, fault occurrence and trend information is determined, and a three-dimensional earth surface and structure model is constructed; based on an explicit and implicit combined modeling method, three-dimensional space distribution of two-long-spot rocks is determined, and a three-dimensional lithologic model is constructed; a structure-lithology coupling constraint modeling method is innovatively adopted, and a three-dimensional grade model is constructed by utilizing an implicit modeling method under the common constraint of a structure model and a lithology model; and finally, target area delineation is carried out according to the three-dimensional geologic model. Compared with a traditional method, the method has the advantages that the problem of distortion of model construction caused by a single data type is effectively solved, and accurate depiction of the ore body is realized. And the constraint of the cause mode on the three-dimensional model is highlighted, so that the target region delineation is more in line with geological knowledge.

The invention relates to the technical field of ventilation and cooling simulation testing, and particularly discloses a ventilation and cooling simulation testing system for a deep mine, which is used for monitoring environmental parameters of different tunneling roadways corresponding to a gold mine in real time through a plurality of sensor nodes deployed in the gold mine; further, the ventilation rate coincidence coefficient of each tunneling roadway corresponding to the gold mine is judged; detecting and judging the ventilation rate conformance coefficient, and when the ventilation rate conformance coefficient of a certain tunneling roadway is detected not to conform to the standard, simulating different types of cooling materials by using the simulation model so as to obtain a cooling performance comprehensive score of each type of cooling material in each simulated roadway; the optimal cooling material type suitable for each simulated roadway is determined according to the cooling performance comprehensive score of each type of cooling material in each simulated roadway, so that the use strategy of the material can be dynamically adjusted and optimized to adapt to the change of the mine environment, and the overall safety and the production efficiency of the mine are improved.

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 discloses a gold mine exploration method based on geological data analysis, and relates to the technical field of mineral geological exploration, and the method comprises the following specific steps: collecting rock samples of different stratums in a region, determining the content of gold element and associated elements thereof, observing the occurrence state of the elements, and establishing an element occurrence state database; by introducing quantum chemical calculation and a particle swarm optimization algorithm, refined simulation of migration behaviors of the gold element and associated elements thereof in a geologic body is realized, and chemical reaction characteristics and microscopic parameters of diffusion coefficients of the elements under different conditions can be described more accurately; in addition, a mathematical model reflecting actual conditions can be constructed according to the parameters, reliability and accuracy of a tracking result are ensured, the process enables the possibility of gold mineralization to be predicted in a larger range, the risk of blind drilling is reduced, and therefore the efficiency of exploration work is remarkably improved.

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 gold mine geological modeling exploration, in particular to a gold mine modeling and reserve estimation method under multi-source information constraint. Geological images and exploration data of the target mining area are collected; performing interpolation operation according to the geological image in combination with the elevation data and the drilling data to establish a geological model; establishing a fracture model by adopting a deterministic modeling method according to the geological image; constructing a lithologic model by adopting an envelope surface modeling method according to the drilling data and the geophysical exploration data; constructing a gold ore body model by adopting an envelope surface modeling method according to the elevation data and the geophysical exploration data; obtaining mineralization information to construct a variation function model, and establishing a grade model by adopting a Kriging difference method according to the variation function parameter value of each fault; and estimating the gold ore reserves of the target mining area based on the established model. According to the method, the model can be established in combination with multi-source information, and the ore body structure can be accurately represented, so that the estimation precision of the gold ore is effectively improved.

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 provides a clean gold leaching agent system for treating gold-bearing minerals and a gold leaching process, and belongs to the technical field of hydrometallurgy. According to the clean gold leaching agent system for treating the gold-bearing minerals, on the basis that thiosulfate serves as a gold leaching agent main body and metal cupric salt serves as a catalyst, a leaching auxiliary agent replacing ammonia, amine and ammonium is designed. In the gold leaching process, the leaching auxiliary agent and bivalent copper ions are subjected to chelation reaction at first, a copper-chelation product has moderate dissolving performance under the alkaline condition, the gain catalysis effect on gold leaching of thiosulfate is achieved, meanwhile, overflow of ammonia gas is avoided, and the leaching efficiency is improved. Clean extraction of gold in the gold-bearing minerals by the thiosulfate leaching system is achieved, a series of problems that in the prior art, the gold leaching effect is poor, ammonia gas overflows in the gold leaching process and the like due to the fact that copper ions of a copper ammonium system are converted into precipitates are solved, and a potential alternative scheme is provided for the field of hydrometallurgy of gold ores in the gold industry.

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 discloses a gold mine exploration method and system, and relates to the technical field of prospecting exploration, and the method comprises the steps: carrying out the comprehensive research of a research region, and obtaining a prospecting target region; large-scale soil measurement is carried out on the prospecting target area, geochemical anomalies are identified, and the prospecting range is narrowed to determine the positions of the anomalies; constructing an exploring groove at the abnormal position by utilizing a groove exploring project to reveal a surface covering layer so as to find out occurrence and distribution characteristics of the underground ore body; when the occurrence and distribution characteristics of the underground ore body are not found out in the groove exploration construction, the occurrence and distribution characteristics of the underground ore body are found out by adopting a geophysical prospecting accurate measurement profile; and exposing the found underground ore body at the abnormal position through drilling engineering. According to the method, the adverse effect on the ecological environment can be minimized, and green development of geological exploration is promoted.

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 present invention discloses a method for identifying gold magma based on high-dimensional element ratio phase space differentiation, which solves the technical problem that gold magma cannot be accurately identified in the prior art. This method constructs a four-dimensional characteristic vector with ratios such as Ba / Zr, Nb / Y, U / Yb, and V / Y, projects it on the ratio phase space subdomain, and realizes the initial judgment, entropy state judgment and source area inversion of mineralization potential magma through distribution trend, trajectory disturbance and multi-factor clustering behavior. Multi-domain heterodimensional mapping and weighted fusion model are introduced to integrate the coupling effect of initial ratio disturbance, differentiation evolution trajectory and component source to form a set of high-order mineralization discrimination system for prospecting prediction. Through the above scheme, the present invention has the advantages of simple logic, accuracy and reliability, and has high practical value and promotion value in the field of mineral resource prediction and magma earth discrimination technology.

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.