307 results about "Prospecting" patented technology

The invention relates to a knowledge graph construction and intelligent prospecting prediction method based on multi-source heterogeneous geological data. The method comprises the steps that geological data information is acquired and preprocessed, and a geological information database is formed; geologic entities, attributes of the geologic entities and mutual relations of the geologic entities in the geologic information database are recognized through the natural language processing technology, and a geologic knowledge graph is constructed; training and optimizing the prediction model to obtain a metallogenic prediction model; and obtaining a prediction result of the metallogenic potential area by using the metallogenic prediction model, and generating a metallogenic analysis report. According to the method, the geological data quality is improved through data preprocessing, the knowledge graph is constructed to integrate geological knowledge, the deep learning model is utilized to accurately extract and predict the metallogenic characteristics, and finally the metallogenic analysis report is generated, so that the prospecting efficiency is improved, the cost is reduced, and the decision scientificity is enhanced.

The invention provides a prospecting prediction method based on a multi-agent technology. The method specifically comprises the steps that S11, keyword extraction is conducted on mineral problems input by a user; s12, establishing a vector database of the mineral knowledge text and a graph database of the mineral knowledge graph, and optimizing the extracted keywords to generate cue words; s13, constructing a large prospecting model to think the cue words, expanding the cue words, and obtaining a complete statement for professional expression of the user question again; s14, performing multi-task decomposition on the complete statement to obtain a plurality of sub-tasks, and scheduling the plurality of sub-tasks to corresponding agents based on a graph database of the mineral knowledge graph to perform step-by-step prediction; and S15, integrating prediction results of the intelligent agents and feeding back the integrated prediction results to a user. According to the method, prospecting prediction is promoted to be converted from manual driving to intelligent driving, and emerging technical support is provided for prospecting breakthrough.

The invention discloses a multi-factor prospecting prediction method suitable for tin polymetallic ore, and relates to the technical field of geological science. The prospecting prediction method comprises the following steps: collecting data; fusing multi-source data; extracting and analyzing mineralization information; constructing a comprehensive prediction model; and predicting mineralization. According to the method, a potential tin polymetallic ore deposit area is preliminarily selected by comprehensively considering multi-source information such as geology, geophysics, geochemistry and remote sensing, drilling data and profile data are collected in the area, the drilling data and the profile data are utilized to construct a comprehensive prediction model, and the model is combined with advanced algorithms such as geostatistics and machine learning, so that the prediction accuracy of the tin polymetallic ore deposit area is improved. The multi-source data is efficiently integrated, and a three-dimensional visualization result is provided, so that the position and the scale of a potential ore body can be more accurately predicted, and the success rate of prospecting is improved.

The invention belongs to the technical field of data processing, and particularly relates to a rutile type titanium ore prospecting model construction method. Comprising the following steps: collecting remote sensing time sequence, real-time geophysical prospecting and geochemical data, carrying out geological causal feature analysis after standardization so as to construct a metallogenic causal graph, and meanwhile, collecting anti-fact features to generate virtual mineralization feature vectors; a prospecting model comprising an input layer, a weight optimization layer (comprising a causal attention module and a particle swarm anti-fact comparison module) and a mineralization probability output layer is constructed, and a high-frequency data acquisition mechanism is triggered with assistance of a metallogenic event threshold. According to the method, the data reliability and the model generalization ability are improved, the mineralization probability calculation precision and the potential mineralization target region judgment accuracy are remarkably improved, and a scientific support is provided for efficient prospecting of rutile type titanium ore.

The invention discloses an intelligent prospecting prediction method based on a three-in-one metallogenic prediction theory, and relates to the technical field of prospecting prediction, and the method comprises the steps: determining various geological elements formed by a regional control ore deposit, obtaining data related to the elements formed by the regional control ore deposit, and storing the data in a database; comprising geological survey, engineering exploration, geophysics, geochemistry and remote sensing data; performing data preprocessing on the geological element data and dividing the geological element data into a plurality of categories; unsupervised learning is carried out on the geological data according to a deep learning algorithm, and the geological structure of the mining area is described in detail; in the areas with relatively high reconstruction errors, selecting the areas with relatively high geochemical anomaly and geophysical anomaly indication variables or reconstruction error values, comparing the selected areas with known typical ore deposits to determine the correlation of space structures, and extracting ore-forming favorable anomaly feature information from the selected areas; and the extracted abnormal information is matched with various geological elements to delineate the target region, so that the accuracy and efficiency of prospecting prediction are improved.

The invention discloses a boundary-preserving seismic wave impedance inversion method, device, equipment and medium, and relates to the technical field of geological prospecting. Historical seismic data of a target area and logging curve data including logging impedance parameters are acquired, and seismic wavelet data are extracted from the historical seismic data; carrying out data processing on the seismic wavelet data to obtain target seismic wavelet data, constructing an initial impedance parameter model according to the logging curve data, carrying out forward modeling on the initial impedance parameter model, constructing a composite objective function comprising a boundary preserving constraint term and a prior information constraint term, and carrying out the forward modeling on the initial impedance parameter model based on the composite objective function. And the initial impedance parameter model is updated to obtain the target impedance parameter model, and the output impedance parameter inversion curve is obtained through the target impedance parameter model, so that the inversion precision and efficiency are improved, and the inversion stability and the geological reduction capability are improved.

The invention discloses a multi-source remote sensing rare earth ore prospecting method and system fused with pteridophyte ore showing, and belongs to the technical field of mineral resource exploration. Weathering crust type rare earth ore mineralization factor remote sensing features are obtained through multi-source remote sensing data, a potential area is preliminarily delineated, an unmanned aerial vehicle carrying a VNIR camera is deployed to obtain a high-resolution image, and the high-resolution image is subjected to image mapping; and comprehensively extracting fern distribution information according to texture, form and spectral indexes, and down-sampling a fern coverage result to a resolution consistent with that of other features to form a fern coverage layer. And constructing a multi-source remote sensing matrix fusing the fiddlehead coverage map layer and the mineralization factor characteristics, and predicting the rare earth mineralization probability and optimizing the potential region selection through sample training and global reasoning. According to the method, the positioning precision and exploration efficiency of the weathering crust rare earth ore are remarkably improved through coupling of the biological indicator factor (pteridophyte) and the traditional rock-mineral-structure-landform ore showing factor.

The invention relates to the technical field of big data analysis, and discloses a prospecting target area positioning method and system based on big data, and the method comprises the steps: collecting multi-source exploration data in real time through distributed nodes, completing coordinate normalization, semantic alignment and time synchronization through a spatial heterogeneous data flow engine, and generating a standardized incremental data block; performing local feature sensitivity analysis based on the historical model library, identifying a newly added feature dimension, and performing parameter increment updating by adopting a sliding window gradient descent method; inputting the updated model into a target evolution model driven by a Bayesian space-time probability field, and dynamically calculating the metallogenic probability of each space grid in combination with a stress field, an element migration path and historical verification data; and generating high, medium and low three-level target area maps according to probability sorting, and pushing the high, medium and low three-level target area maps to a three-dimensional visual decision terminal. According to the method, minute-level dynamic response of the target region under triggering of newly-added data is realized, computing resource consumption is reduced to be less than 5% of that of an original system, and prospecting efficiency and abnormal region identification timeliness are improved.

The invention provides a diffracted wave separation method and device under non-uniform space-time sampling, and relates to the technical field of seismic prospecting, the method comprises the following steps: obtaining common offset seismic data of a target area, the common offset seismic data comprising fluctuation signals of a plurality of sampling points, the position intervals among the sampling points of different seismic traces are non-uniform, and / or the time intervals among different sampling points of the same seismic trace are non-uniform; calculating the plane wave slope of each sampling point of the common offset seismic data through a finite difference method to obtain plane wave slope data; determining a reflected wave travel time curve of each sampling point according to the plane wave slope data; and diffracted wave separation of the common offset seismic data is carried out according to the reflected wave travel time curve of each sampling point. According to the method, accurate diffracted wave separation under non-uniform space-time sampling is realized, and the seismic data analysis accuracy is improved.

The invention discloses a tungsten deposit deep edge metallogenic prediction method based on machine learning, and particularly relates to the technical field of geological prediction and data processing. The method comprises the following steps: acquiring multi-source geological data, constructing a multi-dimensional space grid, and dividing candidate prediction units; quartz vein density, alteration indexes, geochemical combination anomaly weights and high-frequency magnetic anomaly waveform features are extracted, and an ore control feature tensor matrix is constructed; extracting a spatial dependency relationship among the candidate units based on a graph neural network, constructing a metallogenic potential prediction model, and outputting a metallogenic probability graph and a metallogenic hot spot graph; model parameters and feature weights are dynamically optimized through spatial superposition analysis and an abnormal response recognition mechanism; according to the method, the precision and efficiency of deep edge tungsten ore prospecting can be remarkably improved, and good self-adaptability and popularization and application value are achieved.

The invention relates to an ore control element extraction and weight determination method based on a knowledge graph, and the method comprises the following steps: constructing a geological mineral knowledge graph: collecting geological text data, extracting entities and semantic relationships in the geological text data, and constructing the geological mineral knowledge graph; network analysis and simplification: utilizing a community clustering algorithm to divide an ore deposit, and combing and simplifying a complex geological knowledge map in combination with a modularity algorithm process; subgraph generation: constructing a series of subgraphs according to community categories of nodes, and forming an information set which completely and structurally represents specific geologic features and metallogenic conditions; weight calculation and integration: quantifying the indicating significance of different geological entities on ore deposit prospecting through an entity-relation weight result, and defining the weight of ore control elements; and element screening: sorting according to the weight values, and rapidly screening out geological entities which have important influence on ore deposit mineralization as ore control elements. According to the invention, an intelligent and automatic decision support tool is provided for geological prospecting work.

The invention relates to an alkaline miscellaneous rock type niobium ore prospecting method, which belongs to the technical field of geological prospecting, and comprises the following steps: systematically carding regional geological structure evolution and stratum lithology distribution, and mastering the distribution range, rock type and geological age of alkaline miscellaneous rocks; a gravimeter is adopted for measurement, and gravity abnormal data are obtained; the method comprises the following steps: collecting sediment samples in a water system in a target area, analyzing the content of niobium in the sediment, collecting surface and deep soil samples in a niobium element enrichment area, analyzing the content of the niobium element, collecting remote sensing image data in the target area, highlighting geological information related to alkaline miscellaneous rocks, and calculating the content of the niobium element in the target area. Comprehensively analyzing the remote sensing image, and delineating a possible mineralization alteration area; establishing a comprehensive database, and delineating a target region with the highest prospecting potential; sampling is conducted in the delineated target area, and the ore body position, scale and grade of the alkaline miscellaneous rock type niobium ore are determined. By comprehensively applying various technical means, the prospecting accuracy and efficiency are improved.

The invention relates to the technical field of geological prospecting, in particular to a cube prediction model prospecting method and system based on three-dimensional modeling, and the method comprises the following steps: based on the position information of a prospecting point, employing an electromagnetic imaging device, adjusting scanning parameters, collecting reflection electromagnetic waves at a plurality of positions of a target area, and calculating the position information of the prospecting point; and recording electromagnetic response data under various frequencies and intensities, and generating electromagnetic characteristic data. According to the method, by integrating electromagnetic imaging and geological data interpolation technologies, the underground structure is accurately evaluated and mapped, construction of a geological model is optimized, the utilization rate of data is improved, uncertainty and risks in mining are reduced, and by analyzing geometric morphology and texture features of an ore body, underground minerals are detected and distribution features are identified, so that the mining efficiency is improved. The method effectively guides the mineral exploitation strategy, optimizes the resource allocation, reduces the environmental damage and exploration cost, and enhances the scientificity and economic benefits of geological exploration through the deep analysis and model optimization of geological data.

The invention belongs to the technical field of geological prospecting evaluation, and discloses an ore body positioning method and a rapid sampling device for niobium-tantalum ore target region prediction and evaluation. According to the method, based on existing geological data, various geologic bodies in a 1: 250,000-1: 10,000 geological map are analyzed, distribution, form, invasion contact relation, formation times and other characteristics of alkaline rock masses are found out, and a favorable metallogenic area is delineated; a linear structure, an annular structure and alteration information are recognized through satellites and aerial images, and target area positioning is assisted; the method comprises the following steps: exploring and detecting ore-bearing rock mass and fracture structures through a magnetic method, delineating potential positions of ore bodies, and inferring geological attributes of abnormal sources in combination with geological data; measuring the total amount of gamma at different positions in the niobium-tantalum prediction target area by using radioactive detection equipment, and preliminarily judging the position of the niobium-tantalum ore according to a gamma abnormal result; and carrying out systematic sampling and assay analysis on the target area by using the rapid sampling device. By means of the method and device, the metallogenic geological condition and the prospecting prospect can be evaluated, and the exploration network degree is optimized.

The invention provides a prospecting model generation and prospecting method, device and system based on intrinsic characteristics, and belongs to the technical field of mineral resource exploration, and the method comprises the steps: obtaining vibration signals which are collected by an optical resonance type acousto-optic sensor and are fed back after vibration excitation is applied to mineral resources with different characteristics, and the characteristics comprise types, grades, structures and reserves; performing iterative training on an initial model by taking a machine learning algorithm as the initial model, taking the vibration signal as input and taking different features as output; and outputting the completely trained initial model as a final prospecting model. The technical problem that underground deep mineral resource information is difficult to accurately obtain in the prior art is effectively solved.

The embodiment of the present application relates to the pile foundation construction technical field, specifically discloses a kind of karst pile foundation leak slurry early warning method and system.The embodiment of the present application is determined by pile foundation construction area, carries out geological radar detection, electrical prospecting and borehole exploration to pile foundation construction area, obtains geological detection data;Monitoring deployment is carried out, and real-time monitoring data is obtained, and three-dimensional monitoring model is established, and visual monitoring display is carried out;Extract multiple key feature data in real-time monitoring data, import into the preset slurry leakage preset model, obtain slurry leakage prediction probability;According to slurry leakage prediction probability, determine slurry leakage early warning level, according to slurry leakage early warning level, early warning and emergency treatment are carried out.The present application breaks through the dependence of traditional grouting process on crack morphology by innovative design of the synergistic plugging mechanism of pH-sensitive pneumatic capsules and geological bonding agents, using the instantaneous negative pressure field effect to drive the directional enrichment of nanomaterials, triggering in-situ strengthening reactions based on the mineral characteristics of rock mass.

A portable drilling device for geological prospecting. The device comprises a first support frame (1), wherein a second support frame (2) is slidably connected to the interior of the left side of the first support frame; a storage box (6) is fixedly connected to the top of the first support frame; and a sampling groove (26) is embedded in the right side of a drill pipe (22). In the device, firstly, the second support frame is inserted into the first support frame, then a connection sleeve (14) is detached from a support column (9), a sleeve (21) is detached from a fixing device (18), the provided storage box is used for storage, and a limiting block (27) is driven by means of the rotation of a rotating electric motor (19) so as to open and close the sampling groove, thereby performing sampling.

The utility model belongs to the technical field of geological exploration, and particularly relates to a rock debris sampler for geological exploration, which comprises a sampler, guide strips are welded on the outer walls of two sides of the sampler, and a sleeve column is movably sleeved at the bottom of the sampler; four mounting parts are welded on the outer wall of the sleeve column at equal intervals, a bracket is fixedly mounted in an opening of each mounting part, an included angle between each bracket and each mounting part is 45 degrees, and the internal diameter of the sleeve column is larger than that of the sampler. Then the guide strips on the two sides of the sampler are in butt joint with the corresponding group of inner strips, the sampler is started, the spiral blades on the sampler can work on the rock, the sampler is pressed downwards, the sampler can move downwards along the tracks of the two groups of inner strips and the inner strips, and the inner strips and the inner strips are separated from each other. Meanwhile, under the cooperation of the sleeve column and the bracket, the stability of the sampler during movement can be effectively guaranteed, so that the whole rock debris collection work is more convenient and faster.

The invention provides an intelligent prospecting method and device, electronic equipment and a storage medium. The problem that a satellite-borne platform or an airborne platform is not high in prospecting precision is effectively solved. The method comprises the steps of performing continuous imaging on a target to-be-measured mining area to obtain multi-frame remote sensing data, and preprocessing the multi-frame remote sensing data to obtain a target hyperspectral image sequence; selecting a reference frame and a to-be-registered sequence frame for registration, and superposing all registered images to intercept a public overlapping region image; carrying out collaborative quality enhancement reconstruction on the public overlapping region image to obtain a hyperspectral image, and respectively carrying out altered mineral and structural element identification on the hyperspectral image to obtain a mineral distribution map and a classification structural map; and fusing the mineral distribution map, the classification structure map and a preset geological metallogenic rule to obtain a prospecting distant view map with a prospecting mark, so as to complete intelligent prospecting of the target to-be-detected mining area based on the prospecting distant view map.

The invention relates to the technical field of mineral resource prospecting exploration, in particular to a prospecting prediction method based on a compound rock mass anatomy porphyry-skarn composite mineralization system. The control factors and formation mechanism of the ore deposit are clarified, and the deep earth dynamics process of porphyry mineralization development is disclosed. Through typical ore deposit fine dissection, the space-time structure characteristics of mineralization in different structural evolution stages are discussed; according to the method, mineral in-situ micro-area surface scanning and sulfide isotope in-situ tracing technologies are utilized to determine occurrence forms of metallogenic elements, restrain activation migration behaviors of microelements, find out sources of metallogenic metal substances, reveal a superposition metallogenic development mechanism and provide theoretical basis and technical support for prospecting exploration.

The invention relates to a mineral resource prediction method and system for a shallow-hidden fluorite mine, and the method comprises the steps: carrying out the metallogenic characteristic analysis of a typical fluorite deposit, and constructing a prospecting prediction conceptual model according to an analysis result; performing evaluation analysis on the resource potential, the mineralization favorable degree and the prospecting prediction matching degree of the prospecting area to obtain an optimal mineralization prediction geological unit; on the basis of the prospecting prediction conceptual model, a prospecting prediction quantitative model is obtained in combination with geological information of the typical fluorite deposit, and fluorite mine quantitative prediction is conducted on the optimal metallogenic prediction geological unit through the prospecting prediction quantitative model, so that fluorite mine prediction quantity is obtained; and under the condition that the fluorite mine prediction amount reaches a set threshold value, fluorite mine resource evaluation analysis is carried out according to the fluorite mine prediction amount in combination with the obtained geological exploration data of the ore searching area, and fluorite mine resource distribution data is obtained. From the perspective of green prospecting, the method can quickly and accurately carry out prospecting prediction on shallow hidden or deep fluorite mines.

The invention is applicable to the technical field of mineral exploration, and provides a multi-layer soil sampling device for prospecting, comprising: a bearing plate used as a mounting carrier of a support frame, a stabilizing assembly and a dust collection assembly; the support frame is mounted on the bearing plate and is used as a mounting carrier of the drilling assembly; and the drilling barrel is connected with the drilling assembly through the disassembly and assembly assembly and used for loosening the multiple layers of soil. By arranging the sampling assembly, sampling operation can be conveniently conducted on multiple layers of soil in one-time operation, it is avoided that multiple times of sampling operation are needed by workers, the working time is shortened, the soil sampling efficiency is improved, the mineral exploration efficiency is further improved, the applicability of equipment is improved, and actual application and operation are facilitated; through the soil blocking assembly, the sampled soil in the sampling box is blocked, the soil in the sampling box is prevented from being thrown out when the drilling barrel rotates upwards, and the sampled soil is further protected.

The invention discloses a sampling device for traffic geology surveying and mapping exploration, and relates to the field of geological prospecting, the sampling device comprises a U-shaped moving plate and a sampling pipe, the sampling pipe is located above a U-shaped groove of the U-shaped moving plate, a drill bit is installed at the bottom end of the sampling pipe, a sleeve is arranged in the sampling pipe, two annular blocks are fixed on the inner wall of the sleeve, a vertical rod is arranged in the sleeve, and the vertical rod is connected with the drill bit. A threaded pipe is arranged on the upper surface of the drill bit, a movable cavity is formed in the pipe wall of the threaded pipe, a movable plate is slidably installed in the movable cavity, the bottom end of the movable plate penetrates out of the movable cavity to be fixedly connected with the top end of the drill bit, internal threads are arranged on the inner wall of the bottom end of the sampling pipe, and external threads of the threaded pipe are connected with the internal threads in a meshed mode; according to the rotary drilling device, the drill bit can form continuous and stable impact crushing action, drilling resistance caused by hard rock strata and special geological structures is effectively broken through, and propelling difficulty caused by pure rotary drilling is avoided.

The invention provides a prospecting method for a brine type lithium-potassium-boron ore deposit in a foreland basin carbonate rock stratum. The prospecting method comprises the steps that the type of a metallogenic potential structure unit is determined; determining a mineralization brine supply potential source type; determining the type of a favorable metallogenic structure unit; calculating a construction unit comprehensive evaluation coefficient, and screening favorable exploration construction units; carrying out metallogenic brine carbonate reservoir analysis on the favorable exploration structure unit, and delineating a favorable exploration target area; and performing drilling verification on the favorable exploration target area, and evaluating the economic value of the favorable exploration target area. According to the method, multi-level prospecting prediction from full-basin-scale optimal construction units to local target area fine evaluation is realized, and the exploration efficiency and the success rate of the brine type lithium potassium boron deposit are remarkably improved.

The invention discloses a rock mineral content rapid detection and evaluation device and method for geological prospecting, and belongs to the technical field of geological prospecting. Inputting the obtained data into a pre-trained deep convolutional neural network model M, dividing alteration zones and marking standard minerals; inverting the chemical components of the standard minerals through a neural network model, and performing cross validation on an inversion result and synchronously acquired XRF element data; establishing a three-dimensional chemical parameter field, analyzing spatial distribution characteristics of XRF element data, performing superposition analysis on a mineral chemical change trend and element abnormal distribution, and identifying a consistent region of the two as a key target region; and fusing the mineral distribution, the chemical gradient and the element anomaly characteristics, finally outputting the mineralization probability, and predicting the mineralization potential. According to the rock mineral content rapid detection and evaluation device and method for geological prospecting, an accurate and economical intelligent solution is provided for geological prospecting.

The embodiment of the invention relates to a method or a device for identifying by using electronic equipment, in particular to a method for identifying exudation type sandstone uranium ore, which comprises the following steps: S10, acquiring an ore sample of a to-be-identified area, S20, analyzing the ore sample according to the output position and color in the vertical direction and the horizontal direction, and S20, analyzing the output position and color of the ore sample according to the output position and color of the to-be-identified area and the output position and color of the to-be-identified area. S30, analyzing the uranium mineral symbiotic combination in the ore sample; s40, analyzing the clay mineral combination in the ore sample; s50, analyzing an element combination related to the uranium element in the ore sample; and according to the analysis, determining that the to-be-identified region is the exudation type sandstone uranium mine. According to the identification method provided by the embodiment of the invention, the exudation type sandstone uranium ore formed by exudation mineralization can be systematically identified, so that the exudation type sandstone uranium ore prospecting can be guided, and help is provided for searching new uranium ore resources.

The invention provides an electromagnetic interference source positioning method and system in electrical prospecting, and the method comprises the steps: collecting electrical prospecting electromagnetic signal data, extracting multi-domain features, and generating a feature matrix fusing time-frequency-space three domains; and constructing and updating the electrical prospecting digital twin model in real time. And performing anomaly detection to obtain a result containing electromagnetic interference source position data, calculating a delay inequality according to the detection result, and constructing a hyperboloid positioning equation set. And solving the equation set by using an optimization algorithm, and outputting three-dimensional coordinates of the electromagnetic interference source. According to the model, a three-dimensional initial digital twinborn body is constructed based on initial conditions, real-time data are fused by using a filtering algorithm, parameters and characteristics are dynamically corrected, and real-time synchronization with an actual environment is realized. During positioning, the multi-source information fusion method forms a'model-data 'dual-drive calibration mechanism through geological constraint calibration and real-time data calibration, ensures that an equation set adapts to actual propagation characteristics, reduces positioning errors, and improves positioning precision and robustness.

The invention relates to the technical field of remote sensing prospecting, and discloses a uranium-copper multi-metal remote sensing prospecting method which comprises the following steps: S1, data acquisition and preprocessing; s2, alteration information is extracted; s3, multi-source information comprehensive analysis and prospecting prediction; s4, alteration abnormity verification is carried out; and S5, delineating the prospecting target area. According to the method, vegetation spectrum interference is stripped by carrying out principal component analysis on visible light-short wave infrared of a remote sensing image, weak iron staining and hydroxyl alteration signals are extracted, a geological and remote sensing coupling technology is carried out, alteration anomaly is superposed with a geological map, geochemical data and a construction interpretation result, a comprehensive remote sensing anomaly map is obtained, and the comprehensive remote sensing anomaly map is obtained. According to the method, the multi-parameter grading model GGS is established, and the target region is graded based on the multi-parameter grading model GGS, so that the probability of missed judgment of the target region is reduced.

The invention provides a method and a device for extracting a geological prospecting knowledge triple by utilizing cue word engineering. The method comprises the following steps: defining a prospecting knowledge graph ontology model; the prospecting knowledge graph ontology model comprises a plurality of entity types and a plurality of relationship types; and in combination with the prospecting knowledge graph model, extracting the geological prospecting knowledge triad of the target file step by step by utilizing a cue word project. According to the method, various features of the geological text information can be learned by combining the prospecting knowledge graph ontology model, and the accuracy of knowledge extraction is improved. The entities and attributes related to geological prospecting can be automatically extracted by adopting the extraction engineering, so that the labor cost is greatly reduced, and the triple data extraction efficiency is improved.

The invention relates to the technical field of geological exploration, in particular to an intelligent collaborative exploration system for an Aille iron drill polymetallic mine in a plateau desert region. Comprising the following steps that S1, a system collects existing geological, geophysical prospecting, geochemical prospecting and remote sensing data and collects data of 1: 50,000 gravity measurement, 1: 10,000 magnetic method measurement and AMT backbone section, a standardized exploration database is established, and data standardization processing is completed; through multi-source data fusion, intelligent joint inversion and three-dimensional modeling technologies, efficient and accurate exploration of the polymetallic ore in a complex geological environment is achieved, a cross gradient constrained intelligent joint inversion algorithm is adopted, Monte Carlo uncertainty analysis is combined, the deep ore body positioning precision is remarkably improved, and the deep ore body positioning precision is improved. By establishing a standardized exploration database and a quantized target area evaluation system, the delineation accuracy of the prospecting target area is remarkably improved, and by adopting a mode of combining high-precision comprehensive profile measurement and drilling verification, the exploration period is shortened, and the drilling ore finding rate is improved.