625 results about "Mineral exploration" patented technology

The invention discloses a prospecting target area prediction method and system based on geological three-dimensional modeling, and relates to the technical field of mineral resource exploration, and the method comprises the steps: obtaining geological, geophysical, geochemical and remote sensing data of a target area, carrying out the preprocessing, generating a modeling data set, and carrying out the geological modeling; constructing a lithology classification model by combining the three-dimensional geologic model with deep learning, and extracting shallow lithology features to predict the deep lithology of the target area; screening metallogenic factors according to the prediction result of the deep lithology of the target area, the deep geophysical data and the three-dimensional geologic model, and generating a metallogenic prediction factor set; and establishing a prospecting prediction model based on the graph convolutional network, importing the metallogenic prediction factor set to obtain a metallogenic distribution prediction result, and carrying out three-dimensional prospecting target area delineation. According to the method, deep lithologic stratum prediction is carried out through multi-source geological data and geological three-dimensional modeling, and target region delineation is carried out by using the graph convolutional neural network, so that the efficiency and precision of prospecting target region prediction are improved, and the exploration cost is reduced.

The invention relates to the field of geological exploration, in particular to an intelligent prospecting prediction method and system for an ore deposit three-dimensional geological model, a terminal and a medium. The method comprises the steps of obtaining multi-source geological data of a target area to construct an ore deposit three-dimensional geological model, inputting the ore deposit three-dimensional geological model into a trained intelligent prospecting prediction model for ore-forming potential analysis, and optimizing the model or generating an intelligent prospecting prediction scheme according to a predicted resource quantity confidence degree condition; when the model is constructed, three-dimensional inversion calculation, element anomaly field construction and the like are carried out, the model can be optimized through transfer learning, exploration data can be accessed in real time to realize dynamic updating, and a multi-target optimization model is established to output an exploration scheme; the invention also relates to a corresponding system, a terminal and a storage medium. The method achieves the technical effects of improving the accuracy and efficiency of prospecting prediction, dynamically optimizing the model according to the actual situation, reasonably planning the exploration scheme, and reducing the exploration cost and risk.

The invention belongs to the technical field of geological information processing, and discloses a geological mineral exploration data extraction system which comprises the following steps: constructing an air-ground-hole three-in-one acquisition network, and respectively acquiring earth surface mineral spectrum data, seismic longitudinal wave and transverse wave reflection data and rock core main quantity and trace element composition data; processing the collected data to form a five-dimensional data cube containing space coordinates, spectrum parameters, physical property parameters, element parameters and time indexes, performing physical layer attribute extraction on the five-dimensional data cube, performing analysis to obtain a wave impedance value and a lithology category probability array, performing semantic layer attribute extraction on the five-dimensional data cube, and performing semantic layer attribute extraction on the five-dimensional data cube; an alteration type probability array is obtained through analysis, an alteration zoning graph layer is generated, the mineralization potential index and a five-dimensional data cube are fused, a four-dimensional dynamic database is constructed, a mineralization potential prediction graph layer and a drilling priority graph are generated based on the four-dimensional dynamic database, and therefore the decision-making level of ore body drilling deployment is improved.

The invention discloses a geological mineral exploration data extraction method and system, and relates to the technical field of geological mineral exploration data extraction, and the method comprises the steps: carrying out the data collection of a target region through a multi-source data collection method, obtaining satellite remote sensing data, unmanned aerial vehicle aerial survey data and ground geophysical prospecting data, and obtaining an original data set; preprocessing the collected data by adopting a preliminary data processing method, removing noise and correcting errors to obtain a high-quality data set; integrating data from different sources in the high-quality data set by adopting a weighted fusion algorithm to generate a comprehensive database and obtain a comprehensive data set; performing high-resolution geophysical exploration on the fused comprehensive data set by adopting a geophysical exploration technology to obtain underground structure information; analyzing the exploration data by adopting a geophysical inversion technology, and identifying the position of a potential ore body to obtain an ore body distribution map; the method is based on the comprehensive data set, underground structure information and the ore body distribution diagram.

The invention discloses a metal ore body identification method based on remote sensing interpretation, relates to the technical field of mineral resource exploration, and aims to solve the problems of low identification precision, neglect of geological laws and poor generalization caused by dependence on single remote sensing data in the prior art. After standardization processing, spectrum and texture features are fused to generate a composite vector; extracting a multi-scale mineralization signal by using a convolutional neural network, and interpreting and constructing an ore control area in combination with a terrain gradient and a curvature; alteration zoning is identified through spectrum angle matching, and a favorable mineralization area is determined by combining lithology combination analysis; and dynamically weighting geological elements by adopting a deep learning fusion network, outputting an ore body position according to a comprehensive score, and finally optimizing a boundary through spatial clustering and morphological filtering. The method significantly improves the automation degree and reliability of ore body identification in a complex environment, and is suitable for metal mineral exploration target area delineation.

The present invention relates to the technical field of geotechnical engineering safety monitoring, and provides a geotechnical engineering safety monitoring method based on muon detection technology. The method comprises: arranging a plurality of muon detection devices around or inside a geological body to be observed to form an array, and measuring in real time the muon observation flux of multi-angle cosmic rays passing through said geological body; converting the muon observation flux into the density length, and obtaining the three-dimensional density length distribution of said geological body; and analyzing the stress, strain, and deformation. In the present invention, muon particles are used to perform geological detection of geotechnical engineering, and the muons are particles having extremely high penetration capability, and can penetrate through the thick layer of the earth, so that detailed information about the interior of the geotechnical engineering is provided. In addition, the present invention has the advantages of being free of vibration and electromagnetic noise interference, and can implement accurate and rapid dynamic monitoring of the geotechnical engineering. The present invention has a wide application prospect in the fields of geological exploration, mineral exploration, underground resource development, and the like.

The invention relates to a geological mineral exploration data extraction method which comprises the following steps: S1, data acquisition: acquiring multi-source geological data through scientific drilling, remote sensing images and a geological radar; according to the method, through scientific drilling, remote sensing image and geological radar multi-source data collection, in combination with data preprocessing, feature extraction and three-dimensional model construction, massive geological data can be rapidly obtained and processed, and accurate positioning of mineral resources is achieved; the remote sensing image is combined to identify surface mineralization abnormity, the problem of surface and deep data separation in a traditional exploration method is effectively solved, meanwhile, the data preprocessing module ensures consistency and high-precision fusion of data from different sources through cleaning, format unification and geographical registration, and the data preprocessing module analyzes abundance and distribution rules of main metallogenic elements to obtain the data of different sources. And identifying combinations of elements closely related to mineralization.

The invention belongs to the technical field of mineral exploration, and particularly discloses a copper ore prospecting method based on three-dimensional geological modeling. The method comprises the following steps: acquiring geological data of a target area; after extreme values in the geological data are recognized and removed through a box plot, the geological data are mapped to an interval of [0, 1], and the geological data are divided into terrain data, stratum data and mineral resource data; adopting Kalman filtering to enable the data to form fusion data, and generating a thematic map comprising a geological map, a mineralization anomaly map and a topographic slope map; based on the data and the thematic map, constructing a three-dimensional geologic model by a finite element method, and performing mining path planning by adopting a specific path planning algorithm formula; exploring by the mining equipment according to the planned path, acquiring geological data, comparing the geological data with the predicted data, re-planning the path and continuing exploring if the path is blocked, the resource recovery is out of tolerance and new mineralization is abnormal, otherwise continuing exploring according to the planned path. The method has the advantages of being high in exploration efficiency and data precision, low in comprehensive cost and high in adaptability.

The invention relates to the technical field of unmanned aerial vehicle geological survey, and discloses a path planning method and system for unmanned aerial vehicle geological survey, and the method comprises the steps: obtaining the image, spectrum and topographic data of a remote mountainous area through a multispectral sensor and a laser radar, and recognizing potential vein abnormal points through data fusion and geological feature analysis; and constructing a geological interestingness weight map and planning a flight path. Dense sampling flights are performed in a high interestingness region, high resolution data are processed in real-time to identify key reconnaissance targets, a weight map is updated, and a flight trajectory is dynamically adjusted. Through the closed-loop self-adaptive exploration process, accurate positioning and feature description of the hidden vein are realized, the mineral exploration efficiency is improved, the labor cost and the safety risk are reduced, and an innovative solution is provided for mineral resource exploration in remote areas.

The invention discloses an intelligent planning method of a geological mineral exploration analysis model, and relates to the field of mineral exploration, and the intelligent planning method comprises the following specific steps: S101, obtaining regional geological mineral data through satellite remote sensing, ground survey and historical data collection, and preprocessing the collected geological mineral data; according to the method, powerful prior knowledge support can be provided for simulation learning, exploration planning is more scientific and reliable, mineral resource distribution can be predicted more comprehensively, model generation efficiency and calculation performance are improved, multi-level reasoning and prediction can be carried out on different geological levels, limitation of traditional exploration can be broken through, and the method is suitable for popularization and application. The overall effect of the intelligent planning method is improved; according to the method, global search can be carried out in a large range, local optimum is avoided, meanwhile, the accuracy and reliability of path planning are improved, the diversity and adaptability of path selection are ensured, and a model can more intelligently select a path with high exploration value when facing an unknown area.

The invention discloses a prospecting method, device and equipment based on a multi-source remote sensing technology and a medium, and relates to the technical field of remote sensing geological survey, and the prospecting method based on the multi-source remote sensing technology comprises the steps: determining the distribution data of ore indicating factors of a research area through the multi-source remote sensing technology; the ore indicating factors comprise geological data, geophysical data and geochemical element content data of a research area extracted by a multi-source remote sensing technology; carrying out mineral content analysis on the known ore deposits in the research area, and determining the ore grades of the known ore deposits; training a pre-constructed prospecting model by taking the ore grade of the known ore deposit and the ore indicating factor of the known ore deposit as sample data to obtain a trained prospecting model; and inputting the distribution data of the ore-showing factors of the research area into the trained prospecting model so as to predict the mineral content of the research area through the prospecting model, and determining a prospecting potential area in the research area.

The invention provides a multi-source geophysical prospecting data fused Zenzenite rock mass contact zone anomaly method and system, and relates to the technical field of geophysical prospecting, the method comprises the following steps: executing joint denoising processing and time-frequency feature enhancement processing on a TFEM data set in a three-dimensional fused data volume, and outputting the optimized three-dimensional fused data volume; and based on the optimized three-dimensional fusion data body, by establishing a mapping relationship between magnetic, electric and polarization anomalies and a geologic body, quantifying the correlation between a multi-parameter combination and a mineralization index and screening an up-to-standard abnormal region, and finally delineating a magnetic anomaly gradient zone, a low-resistance region and a high-polarization anomaly co-occurrence ore prospecting target region three-dimensional distribution diagram. Through multi-source geophysical prospecting method collaboration, data deep fusion, quality optimization and accurate mapping, full-chain technology upgrading from data acquisition to target area delineation is realized, and the high efficiency of mineral exploration is improved.

The invention discloses a geological mineral exploration device and an exploration method, and particularly relates to the technical field of geological exploration. Mining area data are collected in a plurality of preset time periods, and data analysis is performed in each period, so that whether an early sign of insufficient data quality exists or not is judged; if a quality problem is found, feature analysis is further carried out, and the precision level and the coverage degree of the data are evaluated; dividing a data acquisition period into a high-quality period and a low-quality period according to an evaluation result; for a low-quality acquisition period, resampling or supplementary acquisition is executed, so that the data precision and coverage rate are improved, and the integrity and accuracy of exploration data are ensured; according to the method, through multi-level evaluation of the precision index and the coverage rate index, the quality problem in data collection can be identified in time, multiple times of correction processing are carried out, the precision and the coverage rate of the collected data are remarkably improved, and it is ensured that the collected data can accurately reflect the real geological condition of a mining area.

The invention discloses a multi-metal mineral exploration method and system, and relates to the field of multi-metal mineral exploration, and the system comprises a data acquisition module, a structure analysis module, a geophysical exploration module and a mineral evaluation module. Comprising the following steps: collecting wrinkle information, fault information and geophysical prospecting information, carrying out wrinkle state and fault state analysis on the wrinkle information and the fault information to obtain a structural shape prospecting value of each region, comparing the structural shape prospecting value of each region with a set comparison threshold to obtain a judgment signal of each region, receiving a geophysical prospecting signal, and carrying out geophysical prospecting. And performing gravity anomaly, magnetic anomaly and electrical difference analysis on the high-possibility mineral product existence area to obtain a physical exploration shape value of each geophysical exploration area, and performing comparative analysis on the physical exploration shape value and a set reference standard interval to obtain a set of mineral product areas of different grades corresponding to different geophysical exploration areas, so that the multi-metal mineral product areas can be graded according to mineral product reserves. And a basis is provided for making multi-metal mineral exploration and mine development design.

The invention discloses a dust raising prevention sampling device and method for geological mineral exploration, and particularly relates to the technical field of geological exploration, the device comprises a drilling assembly, a drilling pipe assembly, a sampling inner pipe and an extraction rod, the drilling assembly comprises a drilling machine and a feeding driving frame, the drilling pipe assembly comprises a section of primary drilling pipe and a plurality of sections of secondary drilling pipes, the sampling inner pipe is arranged in the primary drill pipe, a plurality of groups of elastic pressing strips are arranged at the bottom end of the sampling inner pipe, and a tightening controller is further arranged on the outer side of the bottom of the sampling inner pipe. When the sampling inner pipe is lifted, the tightening controller extrudes the bottom end areas of the elastic pressing strips, so that all the elastic pressing strips are bent and deformed inwards, a soil sample entering the sampling inner pipe is extruded to a certain extent, and the carrying capacity of the soil sample is improved; furthermore, the soil sample in the sampling inner pipe can be effectively taken out when the sampling inner pipe ascends, and the sampling integrity and accuracy are greatly improved.

The invention relates to an active source magnetization-time domain electromagnetic induction polarization multi-parameter extraction method, and provides an active source magnetization-time domain electromagnetic induction polarization multi-parameter extraction method aiming at induction response caused by conductivity, polarization response caused by chargeable property and magnetization response caused by magnetic complex physical property in polymetallic ore detection. When the emission current is in a flat-topped stage, based on an active magnetic method, magnetic susceptibility extraction is carried out by using an Oxim method; when the emission current is in a turn-off stage, resistivity and polarization extraction is carried out by using a depth Q network method based on a time domain electromagnetic method by taking the extracted magnetic susceptibility as a constraint condition; and finally, multi-parameter extraction of resistivity, polarizability and magnetic susceptibility of the active source magnetization-time domain electromagnetic induction polarization method is realized.

The invention discloses a skarn type deposit three-dimensional metallogenic prediction method, system and equipment and a medium, and relates to the technical field of mineral exploration. The method comprises the following steps: collecting and sorting geological information of a to-be-studied area and a surrounding area; according to the collected information, performing gravity-magnetic three-dimensional physical property inversion and lithology mapping; carrying out gravity-magnetic three-dimensional comprehensive geological modeling by adopting a discrete body inversion method; on the basis of the constructed model, performing three-dimensional metallogenic favorable contrast prediction; constructing a three-dimensional mineralization comprehensive prediction model based on the mineralization favorable degree value; and carrying out target region delineation and verification by using the three-dimensional metallogenic comprehensive prediction model to complete three-dimensional metallogenic prediction under the support of regional gravity and magnetic data. The method has the advantages of wider prediction range, high prediction reliability and the like.

The invention discloses a grooving method sampling device for geological mineral exploration surveying and mapping, which comprises a shell, a cutting device, a water spraying device, a vertical pressing device and a collecting device, the cutting device is installed at the front end of the shell, a water spraying assembly is installed at the top of the cutting device, the vertical pressing device is installed in the middle of the shell, and the collecting device is located at the rear end of the shell. The cutting device adjusts the width of a sample, the water spraying device cools a cutting area through water flow, reduces friction heat, reduces dust raising and improves the cleanliness of the working environment, the pressure relieving device adjusts the length and thickness of the sample and ensures the cutting precision, and the collecting device shovels the cut sample out of a mineral product and delivers the cut sample to the top of the shell through the conveying belt. And all the devices operate in a coordinated mode, an efficient cutting process is formed, the working efficiency is improved, and operation safety is guaranteed. The whole design is compact, operation is easy and convenient, various mineral cutting requirements are met, energy consumption is reduced, and the service life of equipment is prolonged.

The invention relates to the technical field of sampling devices, in particular to a geological mineral exploration sampling device. A geological mineral exploration sampling device comprises a liftable feeding table and a feeding arm passing through a rotating motor, a drill pipe driving and clamping component is installed on the feeding table, a main drill pipe is installed on the drill pipe driving and clamping component, a set of splicing pipes which can be sequentially connected in a threaded mode are installed on the upper portion of the main drill pipe in a threaded mode, a sampling drill bit is fixedly installed at the bottom end of the main drill pipe, a sampling flow channel with the two ends open is fixedly formed in the sampling drill bit, and a linear transmission module is installed on the feeding arm. The device has the beneficial effects that when the device works, on one hand, multi-depth, large-depth and variable-depth sampling can be carried out, on the other hand, segmented cutting and segmented hoisting of a whole section of sample core can be realized on line during rock core sampling, and meanwhile, when the sample core is moved out, the sampling efficiency is greatly improved. And the segmentation and anti-adhesion effects of every two sample cores can be improved in a differential rotating twist-off manner.

The invention relates to the technical field of metallogenic gene analysis, in particular to a metallogenic gene analysis method and system based on an expert knowledge base. The method comprises the following steps: acquiring authoritative theory information, analyzing the authoritative theory information, and determining a metallogenic gene feature information set; according to the metallogenic gene feature information set, carrying out directivity correlation analysis on the metallogenic genes, and determining a directivity node set and a target node set; constructing a metallogenic gene structure information base according to the pointing node set and the target node set; acquiring a mining area exploration data set, analyzing the mining area exploration data set based on the metallogenic gene structure information base, and determining an effective node information set; and based on the metallogenic gene structure information base, analyzing the effective node information set and the mining area exploration data set, and determining and outputting a metallogenic state analysis report. According to the method, the user can better perform resource management and decision making, sustainable mineral resource development and utilization are ensured, and scientificity and economical efficiency of mineral exploration are greatly improved.

The invention relates to the technical field of mineral product drilling, and discloses a mineral product resource exploration drilling device.The mineral product resource exploration drilling device.The mineral product resource exploration drilling device.The mineral product resource exploration drilling device.The mineral product resource exploration drilling device.The mineral product resource exploration drilling device.The drilling device.The drilling device.The drilling device.The drilling device.The drilling device.The drilling device.The drilling device.The drilling device.The drilling device.The drilling device. The other end of the folding assembly is connected with an oil supply assembly and a moving mechanism, the other end of the moving mechanism is connected with a supporting assembly and two telescopic assemblies, the other two ends of the supporting assembly are connected with an extrusion assembly and a clamping assembly respectively, the other end of the extrusion assembly is connected with the oil supply assembly, and the other end of the oil supply assembly is connected with a pushing assembly. The other two ends of the pushing assembly are connected with the two telescopic assemblies correspondingly. According to the mineral resource exploration drilling device, through the synergistic effect of the moving mechanism, the pushing assembly and the hydraulic system, automatic moving, erecting and accurate alignment of a new drill rod are achieved, manual intervention or external hoisting equipment is not needed, and the drill rod assembling process is remarkably simplified.

The invention relates to the technical field of big data processing, and discloses a data extraction method and system for geological mineral exploration, and the method comprises the steps: carrying out the standardization preprocessing of original data containing space coordinates, lithology texts, mineral components, logging curves and mineralization labels; spatial, semantic, concentration and time sequence deep representations are extracted in parallel through a multi-modal geologic feature encoder and fused into high-dimensional vectors; applying structured sparse constraint to the features by using a graph attention mechanism guided by an expert knowledge graph, and strengthening a mineralization association dimension; a dynamic incremental learning engine is combined with an elastic weight solidification mechanism to realize local fine tuning of model parameters and historical knowledge retention; and finally outputting a mineralization potential score, a mineralization factor sequence and an abnormal element combination. According to the method, through triple mechanisms of multi-modal fusion, knowledge embedding and incremental evolution, the accuracy, interpretability and timeliness of data extraction are improved, and the real-time analysis requirement of large-scale mineral exploration is met.

The invention discloses a mineral resource metallogenic law simulation and target prediction system based on big data, and relates to the technical field of geological exploration. The multi-source data acquisition and standardization module supports acquisition of five types of data, and the data are preprocessed and then transmitted to the distributed database; mining key elements by using an improved Apriori algorithm, and constructing a correlation graph; building a model based on Unity 3D, and integrating three types of dynamic simulation; performing three-level prediction by using a CNN-LSTM model; three-dimensional rendering and multifunctional display are supported; and automatically updating data, models and rules to form an optimized closed loop. According to the method, multi-source data is integrated to improve ore-forming element recognition comprehensiveness, dynamic simulation fits geological reality, AI prediction is accurate, uncertainty analysis is included, visual interaction is practical, iterative optimization continuously improves efficiency, invalid exploration cost is reduced, and mineral exploration is efficiently guided.

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 the technical field of mineral exploration, and discloses a method for estimating the mineralization probability of residual slope product type anatase based on multi-source parameters, and the method comprises the steps: determining a geographic region, collecting geological data, sampling a geological sample, and collecting the characteristics of the sample; extracting the first characteristic index set to judge the region classification of the geographic region, wherein the region classification comprises a conventional exploration region, a main mineralization mode region and a secondary mineralization mode region; extracting a second characteristic index set from the geological data to calculate a standard mineralization probability; calculating a weathering correction coefficient and a maturity correction coefficient; and correcting the standard mineralization probability to generate a mineralization probability, and judging whether the geographic region is a high-potential target region or not according to the mineralization probability. According to the technical scheme, the metallogenic probability judgment standard can be determined and corrected under different conditions, and judgment of a high-potential target region is achieved.

The invention relates to a lithium ore prospecting prediction method and system, and relates to the technical field of mineral exploration. According to the lithium ore prospecting prediction method and system, the prediction accuracy of ore body identification is high, the exploration period can be shortened, and the exploration cost can be reduced. According to the method, the multi-dimensional data fusion is combined with the intelligent algorithm, the three-dimensional mineralization probability is output through the prediction neural network model, the prediction accuracy of ore body recognition is high, the exploration period can be shortened, and the exploration cost can be reduced.

The invention relates to the technical field of mineral exploration, in particular to sampling equipment for copper mine exploration, which comprises a base, a driving box body fixedly connected to the base, a drilling motor fixedly connected in the driving box body, a drilling rod coaxially and fixedly connected to an output shaft of the drilling motor, and a drill bit fixedly connected to the bottom end of the drilling rod. A plurality of sampling grooves are formed in the side wall of the drill rod in the circumferential direction, driving assemblies are embedded in the inner side walls of the sampling grooves, rotating shafts are fixedly connected to output parts of the driving assemblies, connecting blocks perpendicular to the rotating shafts are fixedly connected to the rotating shafts, sampling rods are rotationally connected to the connecting blocks, and tooth grooves are formed in the outer walls of the bottoms of the sampling rods; and the sampling rods are engaged with reciprocating gears through the tooth grooves, the reciprocating gears are fixedly connected with fixing rods, and the fixing rods are rotationally connected with the side walls of the sampling grooves. Transverse collection is added while vertical drilling sampling is conducted, energy-saving and intelligent transverse collection is achieved through the control system, and the sampling efficiency of copper ore exploration is improved.

The invention relates to the technical field of mineral exploration, and discloses a mineral resource intelligent identification method based on multi-source remote sensing data, and the method constructs an intelligent identification model based on a deviation analysis and correction mechanism through integrating the multi-source remote sensing data, geological data and mineral reaction characteristic signals, can dynamically adapt to different environmental conditions, and improves the identification efficiency. According to the method, the mineral resource exploration precision and reliability are remarkably improved, through dynamic correction and multi-coefficient integration, the misjudgment rate is effectively reduced, the recognition accuracy and precision ratio of the mineral target area are improved, potential mining areas can be rapidly screened out in a large-range area, manual intervention is reduced, the exploration efficiency is remarkably improved, and the method is suitable for popularization and application. By generating a plurality of mineral marker guidance coefficients KWX, the mineral resource potential is comprehensively evaluated from multiple angles, and the accuracy and stability of mineral recognition are remarkably 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 discloses a deep prospecting method and system based on ground-air electromagnetic detection, and relates to the technical field of geological mineral exploration. The method comprises the following specific steps: obtaining geological background data of a research area, carrying out field survey, determining transmitting and receiving positions, and carrying out ground-air transient electromagnetic measurement at different flight height positions to obtain ground-air electromagnetic detection data; preprocessing the ground-air electromagnetic detection data to obtain preprocessed data; performing inversion on the preprocessed data by using an inversion algorithm to obtain an electrical structure model of the underground medium; and according to the electrical structure model, predicting distribution and characteristics of an underground geologic body, and determining a mineral product position. According to the method, ground-air transient electromagnetic measurement is adopted for deep prospecting, denoising operation is carried out on the obtained data, and the exploration precision of deep mineral resources in the complex terrain area is improved.