151 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 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.

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 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 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 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.

“Enhanced modular meshes as part of a vibrating screen component that integrates cubic and lamellar sorting equipment for sorting mining materials, a system for joint fastening of adjoining units of enhanced modular meshes to the structural base of a vibrating screen component, and a procedure for assembling / dismantling that base” represented by an inventive solution that is beneficial to the mining industry and notably useful when applied to the procedure of cubic and lamellar sorting of ore extracted from ore deposits, capable of solving a widely found problem of too long maintenance downtimes for replacing a part or even all of the matrix of modular meshes that integrates the cubic and lamellar sorting screen component, for which an enhanced fastening means (Fxa) has been designed that involves introducing, along with the domes (20c) provided in the body (20a) of the enhanced modular mesh (20), an extension in the form of semicircular expansion flaps (20d), causing, with the alignment of two of these meshes (20) and (20′), a consequential alignment of their semicircular expansion flaps (20d) and (20d′) to a fastening rod (Bu) ready to receive the fastening pin (40).

1. Name of the design product: mixing machine. 2. Use of the design product: mixing of various powder particles in chemical, pesticide, dye, medicine, food, feed, petroleum, metallurgical and mining industries. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

1. The name of the design product: titanium alloy filter press. 2. The use of the design product: used in strong acid and alkali corrosion, high wear chemical industry, metallurgy, mining industry. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention discloses a novel goaf filling material, and belongs to the technical field of solid waste resource utilization. The novel goaf filling material comprises the following components in percentage by mass: 45-60% of sulphoaluminate cement, 15-25% of coal gangue, 10-25% of titanium gypsum, 3-8% of an activating agent, 0.5-1.5% of a thickening agent and 0.5-1% of a surfactant. The research and development of the novel goaf filling material aims at reducing the cost, improving the solid waste utilization rate and reducing carbon emission, and the goaf filling technology is promoted to develop in a more efficient and more environment-friendly direction. Research, development and popularization of the filling material not only have remarkable technical innovation value, but also play an important role in sustainable development of the mine industry.

The invention discloses a glass fiber reinforced plastic copper-rich liquid oil separation tank and a circulation method of aviation kerosene in copper-rich liquid, relates to the technical field of oil separation tanks, is used for oil-water separation of copper-rich liquid in mining wet electrolytic copper production, and solves the problems that an original oil separation tank is insufficient in oil separation capacity, needs manual treatment, is unstable in electrolytic copper quality and causes acid mist pollution. A water inlet and a water outlet are formed in the two ends of the tank body, a plurality of oil separation modules (including oil separation plates and water separation plates with through holes in the bottoms) are arranged in the middle of the tank body, and the front sides of the oil separation plates are connected with oil collection boxes; the bottom of the tank body is provided with a blind ditch, and the inner side wall of the tank body is provided with an opening and an outer oil discharge groove; an air pumping system is additionally arranged; and a cover plate is arranged at the top of the tank body. The oil separation tank realizes multi-stage oil separation and automatic recovery of oil stains, improves the oil separation efficiency, and eliminates manual intervention.

The invention relates to the field of filling materials, in particular to a mine filling material based on fly ash solid waste and a preparation method of the mine filling material, and aims at solving the problems that an existing filling material is poor in strength and durability and difficult to meet the special requirements of mine goaf filling. According to the preparation method, the industrial solid waste fly ash is fully utilized as a main raw material, so that the influence of large-amount stacking of fly ash on the environment and the damage of toxic heavy metals in fly ash on soil are reduced, land resources are saved, meanwhile, the cost of the mine filling material is greatly reduced, large-scale resource utilization of waste is realized, and the economic benefit is increased. The mechanical property and the waterproof property of the mine filling material can be greatly improved by adding the epoxy long-chain modified whisker and the polyfluorine coupling agent, the mine goaf can be effectively filled, the safety production of the mine is guaranteed, and the mine filling requirement is met; and powerful support is provided for sustainable development of the mining industry.

The present invention relates to variants of an alpha-amylase which have an increased exoamylase activity compared to the parent alpha-amylase. The present invention also relates to methods of making the variant alpha-amylase and the use of the variant alpha-amylase in baking, detergents, personal care products, in the processing of textiles, in pulp and paper processing, in the production of ethanol, lignocellulosic ethanol or syrups and as viscosity breaker in oilfield and mining industries.

This invention relates to the field of waste gas detection technology, and more particularly to a volatile organic compound (VOC) waste gas collection and detection device for environmental monitoring. The device includes a mobile trolley with a rotating disk. The rotating disk is equipped with a telescopic, longitudinally swinging swing arm module. A waste gas collection device and a drilling device are installed at the outer end of the swing arm module. All components work together to achieve efficient detection. The mobile trolley replaces manually operated handheld equipment, ensuring the safety of testing personnel and reducing potential risks. The rotating disk and swing arm module work together to allow the device to flexibly adjust the detection angle and range, adapting to different terrains and waste gas emission locations. In particular, the telescopic design of the swing arm module reduces radial dimensions and overall length while ensuring precise and stable telescopic control, greatly improving the device's practicality. This device has broad application prospects; in the mining industry, it provides strong data support for mine environmental management, helping to optimize mining processes and reduce pollution emissions.

The invention discloses an environment-friendly surface chromium plating process suitable for a stainless steel screen. The environment-friendly surface chromium plating process comprises the steps of workpiece preparation, nanometer sand blasting, ultrasonic cleaning, water washing, ultrasonic-assisted acid pickling, anti-activation, electroplating, chromium liquid recovery, flushing, airing, thermal diffusion annealing and packaging. A rough active surface is formed through nano sand blasting and ultrasonic-assisted pickling, a special alloy electroplating solution without hexavalent chromium and a mesh type anode are adopted, a uniform coating is achieved by combining pulse current electroplating, and the binding force is enhanced through thermal diffusion annealing. The process eliminates hexavalent chromium pollution, improves coating uniformity, improves wear resistance, and is suitable for stainless steel screen treatment in severe environments such as mining industry.