205 results about "Mining industry" patented technology

The invention relates to the technical field of mining industry, and discloses an intelligent prediction method for gold ore beneficiation process parameters based on cloud and edge fusion, which realizes space-time correlation modeling of beneficiation process parameters and accurately depicts dynamic interaction influence among equipment. The cloud edge collaborative architecture considers global optimization and real-time response requirements, and the prediction stability under complex working conditions is effectively improved. The introduction of physical constraints enhances the applicability of the model in an actual production environment, a bidirectional feedback mechanism ensures the adaptive ability of the system in a dynamic change environment, and through the joint reasoning of a knowledge graph and a neural network, the consistency of a prediction result and a process principle is enhanced, and the risk of misjudgment under an abnormal working condition is reduced; the man-machine cooperation mechanism significantly improves the labeling efficiency of high-value samples, shortens the model iteration period, and ensures the continuous optimization capability of the prediction system in the actual production environment.

The invention relates to the technical field of mine industry management, in particular to an industrial management system with an industrial configuration picture presentation function, which comprises a heterogeneous data acquisition module which is composed of a plurality of sensors and realizes data fusion through a multi-protocol converter; the three-dimensional dynamic configuration engine covers the geological model construction unit, the real-time data mapping unit and the visual rendering unit; the intelligent scheduling decision module is provided with a transportation path optimization sub-module, a resource allocation sub-module and an emergency response sub-module; and a man-machine interaction terminal. An edge computing node of the heterogeneous data acquisition module adopts an improved LSTM missing data interpolation model; the transportation path optimization sub-module uses an improved ant colony algorithm, the resource allocation sub-module uses an improved multi-objective optimization model, and the emergency response sub-module uses an improved rule reasoning algorithm. The problems of data fusion, path optimization, resource allocation, emergency response, visualization and the like in mine industry management are effectively solved, and the efficiency, the safety and the intelligent level of mine management are improved.

The present application belongs to the technical field of roller mills. Disclosed is a dual-transmission-type high-pressure roller mill for the mining industry, the roller mill comprising a housing supporting assembly, wherein circular feeding assemblies are mounted on two sides of the inner wall of the housing supporting assembly, respectively; a buffering and crushing assembly is mounted on the inner wall of the housing supporting assembly; a roller milling assembly is mounted on the inner wall of the housing supporting assembly, and the roller milling assembly is located below the buffering and crushing assembly; the housing supporting assembly is configured to support the circular feeding assembly, the buffering and crushing assembly and the roller milling assembly; the buffering and crushing assembly can buffer and crush ores; the circular feeding assembly can feed screened ores in a circular manner; and the roller rolling assembly is configured to mill the screened ores. Falling ores fall between two impact plates, and the two impact plates are pushed to move at the same time by means of two hydraulic rods, and can impact on the ores by means of impact needles on the two impact plates, such that the ores are crushed into small blocks, and thus the ore milling efficiency can be improved.

The invention discloses a working face earth surface rock movement digital intelligent observation and through-structure safety intelligent prediction method, and belongs to the technical field of mining industry and information, and the method comprises the following steps: determining a structure movement deformation safety early warning value; moving deformation data are collected and preprocessed; analyzing a dynamic change rule of surface movement deformation by applying finite element analysis; building a structure movement deformation prediction model; the structure movement deformation prediction model is trained and verified, and the trained model is used for structure movement deformation prediction; comprehensively evaluating safety and stability; and correcting parameters of the prediction model and continuously evaluating until the structure is safely pushed and mined. The invention provides a novel way with great potential for accurately predicting the rock migration trend and guaranteeing the safety of important facilities such as structures.

The invention relates to the technical field of mining industry safety management, in particular to a mining industry-oriented weather risk intelligent early warning system, which is characterized in that a mining area multi-field coupling monitoring network is constructed to perform real-time acquisition on mining area meteorological data, geological data and other multi-source heterogeneous data so as to provide a rich and accurate data basis for subsequent risk analysis; mining scene metadata and time sequence features are fused, mining area scenarized weather threat factors are dynamically synthesized through a conditional generative adversarial network, and weather risk features in different mining scenes are accurately captured; by establishing a geologic body-meteorological field coupling risk propagation topological graph and generating a sub-regional risk potential energy thermodynamic diagram, a manager can quickly know the risk condition of a mining area; through spatial clustering analysis, medium and high risk areas are identified, and a scene adaptive regulation and control instruction is generated, so that the pertinence and effectiveness of emergency response are improved, and rapid risk control and loss reduction are facilitated.

According to the modified fiber mining filling material and the preparation method thereof provided by the invention, through a dual modification technology of plasma treatment and a silane coupling agent, the uniform dispersity of fibers in a cementing agent is enhanced, and the properties such as rapid hardening, early strength and compressive strength retention rate of the filling material are remarkably improved. The filling material comprises cement clinker, solid waste, a retarder, an early strength agent, modified fibers, an accelerator, gypsum, a water reducing agent, a suspending agent and other raw materials, the modified fibers are treated through specific steps, surface functional groups are increased, and the compatibility and binding power of the modified fibers and a cementing agent are improved. The filling material disclosed by the invention has the advantages of good transportability, simplicity and convenience in construction, low cost and environmental protection characteristic, conforms to the development trend of green mining industry, is particularly suitable for being applied to mine filling and supporting, and has wide application prospects and social and economic values.

The invention discloses a surface subsidence digital intelligent prediction method for a building, which belongs to the technical field of mining industry and information, and comprises the following steps: step 1, collecting multi-source data, and carrying out multi-source data fusion based on a Kalman filtering method; 2, processing the abnormal data based on the random forest; step 3, feature engineering and variable selection are carried out based on the graph neural network; and step 4, predicting surface subsidence based on the diffusion model and the quantum heuristic neural network. According to the method, the advantages of the diffusion model in the aspect of data generation and the powerful feature learning ability of the quantum heuristic neural network are fully utilized to predict the surface subsidence of the building, so that reliable basis and technical support are provided for safety assessment, engineering planning, disaster prevention and the like of the building; the precision and reliability of surface subsidence prediction are effectively improved, and intelligent development of related fields is promoted.

The invention relates to the technical field of mining industry, in particular to a mine stone length detection method based on U-net. Comprising the following steps: S1, acquiring an image data set of a feeding port of the plate feeding machine and marking the image data set; s2, constructing a mine stone size detection network model based on a U-net network; s3, based on the image data set obtained in the S1 and the mine stone size detection network model constructed in the S2, carrying out model training; and S4, inputting a test set of mine stone images into the network model trained in the S3 for prediction, and detecting the stone size according to a semantic segmentation result. According to the method, the accuracy of mine stone length detection is effectively improved, redundant information in feature extraction is reduced, local detail feature information of the image is effectively extracted by using multi-scale fusion features, and the generalization ability and stability of the model are enhanced.

The invention discloses an environment-friendly flotation separation method for copper-lead bulk concentrate. The method comprises the following steps: (1) preparing copper-lead mixed ore pulp; (2) flotation pretreatment of copper-lead mixed ore pulp; (3) carrying out flotation on the copper-lead mixed ore pulp; and (4) performing solid-liquid separation to obtain concentrate. The flotation method has the advantages that the novel flotation method capable of efficiently and environmentally separating complex and difficult-to-separate copper-lead bulk concentrate is provided, and the copper grade and the copper recovery rate can be effectively improved; meanwhile, the selected chemicals are environment-friendly and nontoxic chemicals, so that the chemicals are wide in source, low in price and very friendly in environmental protection requirement; the method is not only a key for solving the current technical bottleneck, but also an inevitable requirement for promoting green and sustainable development of the mining industry.

The invention discloses a pneumatic conveying system straight pipe auxiliary air inlet adding analysis method and device, and belongs to the technical field of pneumatic conveying, and the method comprises the following steps: simulating particle flow in a pulverized coal conveying pipe through simulation software in combination with an Ergun resistance model, and obtaining basic data; determining a pulverized coal initial deposition point according to the data, adding a first auxiliary air inlet, then adjusting the air inlet speed at a fixed included angle, changing the air inlet angle at a fixed speed, and recording the backward moving range of the initial deposition point; then single-dimension experiments are carried out to research the influence of all parameters on pressure drop, response surface optimization analysis is applied to construct a power consumption coefficient formula and optimize experiment results, and finally an auxiliary air inlet adding scheme is obtained through rounding processing. By optimizing auxiliary air inlet parameters, pulverized coal deposition can be reduced, pressure drop and power consumption of a conveying pipe are reduced, the performance of a pneumatic conveying system is improved, and the method has important application value in the pneumatic conveying fields of thermal power plants, mining industry and the like.

The invention relates to the technical field of mineral defect screening, and particularly discloses an intelligent mineral defect screening method and system based on knowledge graph embedding, and the method comprises the steps: carrying out the three-dimensional grid division of a target mining area according to a rock stratum structure, building a mining area defect screening reference unit model, and obtaining the three-dimensional grid data of a mining area defect screening reference unit; an unmanned aerial vehicle group carrying an LIBS probe and a broadband microphone array carries out LIBS laser ablation on each three-dimensional grid, plasma emission spectrum values and sound wave oscillation signals are synchronously collected, and a multi-dimensional mineral response data set of each three-dimensional grid is obtained; sound wave signal feature decoupling analysis is conducted on the multi-dimensional mineral response data set, and crystal distortion feature parameters of all the three-dimensional grids are extracted; and the mineral defect evaluation coefficient of each three-dimensional grid is predicted, so that the operation efficiency of the mining area is improved, the development of the mining industry towards the digital and intelligent directions is promoted, and the sustainable development requirement of the modern mining industry is met.

The invention discloses an efficient and environment-friendly wet type permanent magnet drum type magnetic separator for mining industry, and relates to the field of magnetic separators. An efficient environment-friendly wet type permanent magnet drum magnetic separator for the mining industry comprises a rack, a magnetic separation box is fixedly mounted on the rack, a mounting shaft is mounted on the rack through a support, a magnetic separation drum is rotationally connected to the mounting shaft, and the magnetic separation drum is located in a magnetic separation groove of the magnetic separation box; according to the magnetic separation device, ferromagnetic minerals can be rapidly and effectively separated from ore pulp, the magnetic separation efficiency is greatly improved, impurity minerals mixed in the ferromagnetic minerals can be effectively removed by knocking and vibrating the magnetic separation roller, the impurity content in the magnetic separation minerals is reduced, the purity of the ferromagnetic minerals is improved, subsequent processing is not needed, and the magnetic separation efficiency is improved. And then the magnetic separated minerals are selected, so that the time and the cost are saved, the efficiency is greatly improved, and meanwhile, the quality of a final product is also improved.

The invention discloses a geological mineral large language model construction method and a geological mineral industry question and answer method, and relates to the technical field of geological mineral large language models.The geological mineral large language model construction method mainly comprises the steps that data cleaning and preprocessing are conducted on geological mineral field literature data to obtain a geological mineral field special data set; obtaining a mixed geological corpus according to the special data set for the geological mineral product field and the mineral deposit knowledge graph; and performing fine tuning training on the basic large language model by using the mixed geological corpus to obtain a geological mineral large language model. By implementing the geological mineral product large language model construction method and the geological and mineral industry question and answer method provided by the invention, the professionality and accuracy of geological and mineral industry question and answer performed by the geological mineral product large language model can be improved.

The invention discloses a loading structure optimization method based on stress wave analysis in open bench blasting. The method comprises the following steps: S1, performing rock mass blasting and stress wave theoretical analysis, researching a rock mass blasting rock breaking process and a breaking mechanism, deducing rock mass blasting mechanisms under different coupling media, and analyzing the influence of different coupling media on the blasting effect; and S2, calculating the initial delay detonation time according to the delay detonation rock blasting principle, and determining the optimal delay detonation time through numerical simulation calculation and field test demonstration. According to the method, a method combining theoretical analysis, numerical simulation and field test is comprehensively applied, a scientific and systematic charging structure optimization scheme is provided for open bench blasting, wide applicability and popularization value are achieved, progress of the open bench blasting technology can be promoted, and sustainable development of the mining industry is promoted.

The invention belongs to the technical field of mining industry intelligent control, and particularly provides an underground dynamic ventilation and cooling cooperative control method and system based on digital twinning, and the method mainly comprises the steps: synchronizing an original data set collected by an underground sensor in real time through a digital twinning model; performing data division on the original data set to obtain a temperature-equipment group and a wind speed-equipment group; constructing an equipment-temperature dynamic relation graph according to the temperature-equipment group; key nodes in the equipment-temperature dynamic relation graph are extracted, and a key relation sequence is generated; and generating a ventilation equipment wind speed adjustment amount and a temperature control equipment start-stop instruction. Through collaborative analysis of the association relationship between the temperature conduction path and the equipment, the linkage regulation and control instruction of the ventilation and temperature control equipment is dynamically generated, the multi-equipment state, the temperature path and the roadway topology can be comprehensively analyzed, the heat conduction rule is accurately identified, collaborative control over ventilation and cooling is achieved, the system regulation and control efficiency is improved, local control overload is avoided, and the system reliability is improved. And resource configuration is optimized.

The invention belongs to the technical field of machine vision nondestructive testing, and particularly relates to a conveying belt thickness measuring device and method and a conveyor. Structured light is projected to a conveying belt through the device, a picture with the structured light on the conveying belt is obtained, sub-pixel processing is conducted on the picture, and a set of two-dimensional coordinates is obtained; a group of two-dimensional coordinates are converted into arithmetic information S through calculation, real thickness information on the conveying belt is obtained, the group of arithmetic information S is corrected, and full-section thickness information of the conveying belt is obtained. According to the method, the visual measurement technology and the linear measurement technology are fused, and the real thickness of the conveying belt is combined with the visual measurement technology; according to the method, the thickness of the whole section of the conveying belt can be accurately measured, parallax and measurement errors possibly caused by factors such as illumination in a traditional method are reduced, high practicability, reliability and safety are achieved, and powerful technical support is provided for maintenance and management of a mining industry conveying system.

The invention discloses a mining industry multi-system joint alarm method, which comprises the following steps of: receiving alarm information from a plurality of alarm systems, performing protocol conversion according to a communication protocol format of the alarm information, and verifying in a unified standardized data format; based on a preset rule base, distributing a basic priority score for the alarm information verified to be valid; generating a comprehensive priority value of each alarm through weighted calculation in combination with the area weight and the time weight of the alarm, and forming a global priority queue; and according to the global priority queue, an alarm signal instruction is generated according to a priority sequence, and a multi-mode output device is driven to output an alarm signal. According to the invention, multi-system independent alarm is changed into multi-system intelligent joint alarm, and an automatic alarm center capable of getting through a data barrier, carrying out intelligent analysis and decision making and realizing ordered output is constructed, so that the efficiency and reliability of mining safety monitoring and emergency response are integrally improved.

The invention discloses a mining roadway roof deformation monitoring method and system based on a sensor, and relates to the technical field of deformation monitoring, and the method comprises the steps: obtaining three-dimensional point cloud data containing rock mass structure features; separating the rock mass bulge area from the roof main body area; a reference plane is arranged below a roof body area, relative spatial position parameters of the reference plane and a roof body are obtained in real time through a TOF sensor, and a roof three-dimensional model is constructed; mapping the top plate three-dimensional model into a reference plane coordinate system; curvature parameters of all nodes of the roof three-dimensional model are calculated through differential geometric analysis, and a curved surface gradient tensor field is constructed; and based on the curved surface gradient tensor field, obtaining a maximum sinkage, a regional deformation gradient value and an overall deformation distribution parameter, and generating a roof stability evaluation report. The method has the advantages that a more comprehensive, accurate and reliable roof stability evaluation report is provided, and a more accurate safety early warning basis is provided for the mining industry.

The invention relates to the technical field of inverter control, in particular to a neutral-point voltage full-range control system and method when a T-type three-level inverter breaks down, the T-type three-level inverter is important equipment in an energy router, and when a switch tube of the T-type three-level inverter breaks down, the problems of neutral-point voltage imbalance, current distortion and the like can be caused. According to the invention, the control capability of the neutral-point voltage is greatly improved by decomposing modulation waves when a switch tube fails, neutral-point voltage deviation elimination and oscillation suppression in a full modulation degree and full power factor range are realized, and fault-tolerant operation and neutral-point voltage balance control when the T-type three-level inverter fails are realized on the whole; safe and stable operation of the energy router system is realized, and safe operation of large and important electric power systems such as an electric power system, aerospace, metallurgical mining industry, rail transit and the like is guaranteed.

The utility model belongs to the field of ore drawing machines for mining industry, and relates to a vibration ore drawing machine which comprises a vibration supporting shaft and a vibration tailstock. The vibration tailstock comprises a vibration tailstock side plate, a supporting plate and a reinforcing plate. The supporting plate is vertically arranged on the periphery of the side plate of the vibration tailstock. The number of the supporting plates is two, the first supporting plate is located on the outer edge of the side plate of the vibration tailstock, and the second supporting plate moves inwards relative to the first supporting plate. The first group of supporting plates, the second group of supporting plates and the vibrating tailstock side plate form a groove; the plurality of reinforcing plates are dispersed and filled in the groove, and the groove is divided into a plurality of grids by the plurality of reinforcing plates; the vibration supporting shafts are installed in the grids. According to the technical scheme, the vibration tailstock of the vibration ore drawing machine and the connecting mode of the vibration supporting shaft and the vibration tailstock are mainly improved, and the vibration tailstock is reinforced.

The invention provides a mining low-bleeding self-reinforced solid waste filling material as well as a preparation method and application thereof. The mining low-bleeding self-reinforced solid waste filling material is prepared from the following raw material components: 340 to 480 parts of weathered coal gangue, 20 to 25 parts of cement, 30 to 40 parts of fly ash, 30 to 40 parts of slag powder, 0.3 to 0.7 part of sodium silicate, 5 to 7 parts of quick lime, 3 to 5 parts of magnesium oxide, 0.05 to 0.1 part of water-absorbent resin, 0.2 to 0.4 part of fiber and 160 to 245 parts of water. The slump of the filling material is 24-27 cm, the bleeding rate is smaller than 1%, the compressive strength of the filling material in 3 days is 1-2 MPa, the compressive strength of the filling material in 28 days is 3-6 MPa, and the drying shrinkage is-20-0 mm / m. The main solid raw materials used in the method are solid wastes, the purposes of stable filling material structure, low bleeding rate, self-strengthening in the curing process and the like are achieved by utilizing the characteristic and function synergy of various solid wastes, the mine filling production cost can be effectively saved, the resource treatment of bulk solid wastes in the mining industry field is realized, and the economic benefit is increased. Geological disaster and environmental pollution risks of mining areas are reduced, ecological management cost is reduced, economic benefits are created for mines, and meanwhile green and low-carbon development of the mining industry is promoted.

The present application relates to the field of filling material, in particular to a kind of mine filling material based on fly ash solid waste and its preparation method, for solving the problems that the strength and durability of existing filling material are not good, it is difficult to meet the special requirements of mine goaf filling;The preparation method makes full use of fly ash, an industrial solid waste, as the main raw material, reduces the impact of large amounts of fly ash stockpiling on the environment and the damage of toxic heavy metals in fly ash to the soil, saves land resources, while significantly reducing the cost of mine filling material, realizes large-scale resource utilization of waste, has significant environmental and economic benefits, by adding epoxy long-chain modified whisker and polyfluoro coupling agent, the mechanical properties and waterproof performance of the mine filling material can be greatly improved, which can effectively fill the mine goaf, ensure the safe production of mine, meet the requirements of mine filling, and provide strong support for the sustainable development of mining industry.

This disclosure relates to a double end fastener where one end of the fastener is secured, or fastened, to a surface, such as a rock face, concrete, or masonry surface, and an alternate, or opposite, end of the fastener is exposed from the surface. The fastener being particularly suitable for use in the construction and mining industries, where a fixture might be releasably attached to the alternate, or opposite, end of the fastener that enables the fastener to be "pull tested" to determine the SWL of the fastener and / or ensure adequate securement of the fastener to the surface.

A novel process for desulfurizing spodumene smelting slag using EDTA is presented. This process uses the final solid waste obtained from the water leaching lithium extraction process after sulfuric acid roasting of spodumene as raw material. A prepared EDTA solution is added to the smelting slag containing approximately 10% calcium sulfate, allowing the raw material to fully react with the EDTA solution, thus achieving desulfurization of the smelting slag. Finally, the filtrate is subjected to rotary evaporation precipitation, and the EDTA solution is recovered and recycled. This process has high resource utilization, not only achieving 99.9% desulfurization of the smelting slag in a short time but also enabling the recycling of the EDTA solution. The desulfurization method provided by this process is highly efficient, simple, and transforms waste into valuable resources, increasing economic benefits. Furthermore, it effectively addresses the environmental compatibility issues of solid waste in the existing lithium mining industry, which is of great significance for the sustainable and high-quality development of the lithium battery industry.

The utility model discloses a vertical mill with a dust removal function, relates to the technical field of mining industry production, in particular to a waste treatment device convenient to clean, which comprises a vertical mill body, a first dust removal mechanism is fixedly arranged on one side of the vertical mill body, and a second dust removal mechanism is fixedly connected to one side of the first dust removal mechanism. The first dust removal mechanism comprises a connecting pipe, two plug pins are fixedly arranged on one side of the connecting pipe, a connecting plate is slidably connected to one side of the connecting pipe, the second dust removal mechanism comprises a dust removal shell, a motor is fixedly arranged at the top end of the dust removal shell, and a connecting shaft is fixedly arranged at the output end of the motor; and a connecting frame is fixedly arranged above the surface of the dust removal shell, and a device base is fixedly arranged at the bottom end of the vertical mill body. By arranging the first dust removal mechanism and the second dust removal mechanism, the dust removal effect of the vertical mill is effectively improved, the production cost is reduced, and the waste of resources is reduced.

The utility model provides a screening chute, which belongs to the technical field of mining industry conveying equipment and comprises a chute body, a placing groove is arranged on the upper surface of the chute body, through grooves are symmetrically arranged on the front side and the rear side of the bottom end of the placing groove, and a lining plate is laid in the placing groove. A small-aperture filtering hole and a large-aperture filtering hole are formed in the front end and the rear end of the interior of the lining plate correspondingly, the small-aperture filtering hole and the large-aperture filtering hole are formed over the two through grooves correspondingly, and a mounting frame is fixedly mounted at the bottom of the tank body; inserting grooves are symmetrically formed in the left end and the right end of the joint of the upper surface of the mounting frame and the lower surface of the groove body, and inserting plates matched with the two inserting grooves are symmetrically mounted at the left end and the right end of the bottom of the lining plate. The screening chute is simple in structure and complete in function, efficient screening, stable installation and convenient maintenance are achieved through close fit of all the components, and the screening chute has wide application prospects in material conveying and screening in the coal mine industry.

The invention discloses a superfine iron tailing-based geopolymer cementing material as well as a preparation method and application thereof. The geopolymer cementing material comprises the following raw material components in parts by weight: 10 to 500 parts of superfine iron tailings, 10 to 600 parts of fly ash, 10 to 600 parts of blast furnace slag, 10 to 50 parts of solid sodium hydroxide crystals and 10 to 100 parts of solid sodium silicate powder. In the invention, the superfine iron tailings, the fly ash and the blast furnace slag play a remarkable synergistic effect, and the proportion of the fly ash to the blast furnace slag can influence the physical and mechanical properties of a gelling system to different degrees. The cementing materials with different strengths can be used in a graded and classified manner, the potential of efficiently realizing three-in-one of solid waste absorption, carbon emission reduction and cost reduction is achieved, and green transformation of mining industry / energy cities is promoted.

The invention provides a method for evaluating the degree of integration of industry knowledge into a large model, and relates to the technical field of AIs, and the method comprises the steps: obtaining massive industry supervised corpora through the AI to establish an industry supervised data set; the method comprises the following steps: mining industry matching chunks through two times of aggregation driven by 2-gram based on an industry supervised data set to obtain a high-frequency chunk library SensCommon; on the basis of a high-frequency chunk library SensCommon, a maximum reverse matching word segmentation algorithm is adopted to evaluate the training effect of the industry fine-tuning large model, and whether the model continues to be trained or whether the stored model is deleted or not is judged according to the evaluation result; according to the method, two times of aggregation is driven by 2-gram to mine long matching language chunks commonly used in the industry supervised data set, the degree of integration of industry knowledge after industry great model training is effectively evaluated, whether the model is continuously trained or not and whether the stored model is deleted or not is judged, and therefore GPU computing power resources and hard disk resources are effectively saved.

The present invention pertains to a system and method to determine rock fracturing during the breaking process, specifically when using rock breakers in the mining industry. More precisely, the present invention relates to a system and a method that, using sensory information composed of images, point clouds, or both, automatically determines, in real time, whether a rock which a rock breaker is attempting to break is fractured or not.

This disclosure proposes a method for synthesizing multimodal data for decision-making attribution explanation in the mining industry, comprising the following steps: First, extracting causal logic from industry texts to construct a structured rule base; second, collecting on-site multimodal data and filtering out data pairs strongly correlated with rules through scenario-based weight modeling and cross-modal association mechanisms; third, using a multimodal generative adversarial network with rule constraint mechanisms and combined with rule mutation technology to synthesize multimodal data with complete logical chains and covering various complex working conditions; finally, ensuring data quality and achieving self-evolution of the knowledge base through a three-level verification and rule feedback mechanism, and storing qualified data in a hybrid storage database. This invention solves the problems of complex causal relationships and scarce high-quality training samples in the mining field, and can automatically and in batches generate logically rigorous and scenario-diverse multimodal data, improving the training efficiency and generalization ability of attribution decision models.