227 results about "Ore sorting" patented technology

The invention provides a deep learning-based rapid ore sorting method under adaptive illumination intensity, and relates to the technical field of ore sorting, the deep learning-based rapid ore sorting method comprises the following steps: obtaining illumination intensity distribution information and ore three-dimensional point cloud data, and calculating ore space orientation parameters based on quaternion attitude estimation; inputting the obtained data into a layered illumination compensation network, and obtaining an illumination normalized enhanced image through adaptive brightness mapping and local light spot correction in combination with reflectivity recovery and non-local mean filtering; inputting the illumination normalized enhanced image and the ore three-dimensional point cloud data into a multi-branch feature extraction network, constructing feature high-order association, and adopting adaptive feature reconstruction and conditional random field optimization features; and inputting the reconstructed features into a classification model based on active learning, optimizing a feature manifold space by using a self-organizing mapping network, carrying out sample labeling in combination with active sampling of adaptive entropy threshold screening and uncertainty perception, and realizing ore classification and sorting through random forest integration.

The invention discloses an automatic fine ore sorting method and system based on XRT (X ray tomography) and hyperspectrum, which are used for realizing comprehensive fusion of ore surface and internal information by combining X-ray tomography and hyperspectral imaging technologies so as to improve the recognition precision and the sorting efficiency. XRT is used for extracting the internal structure and density characteristics of the ore, hyperspectral imaging is used for identifying the mineral composition characteristics of the ore surface, and information complementation is achieved. The system adopts a multi-modal convolutional neural network to perform independent feature extraction on XRT and hyperspectral data, and the extracted features are fused through a deep residual network. And the fused features are processed by a cross-modal attention mechanism to ensure that key features of different modals are fully integrated and optimized, and finally high-precision ore classification and sorting are realized. According to the method, the limitation of a single data source on feature extraction is overcome, the ore recognition and sorting precision is greatly improved, and the refined and intelligent development of ore sorting is promoted.

The invention relates to the technical field of image processing, and discloses a uranium mining and metallurgy ore sorting method and system based on machine vision recognition, and the method comprises the steps: obtaining ore image data; preprocessing the ore image data, and calculating a gray level co-occurrence matrix of the image through a gray level formula; according to the gray-level co-occurrence matrix, a template storage library is obtained through a feature matching algorithm; performing threshold segmentation processing on the image data to obtain a plurality of target images to be sorted; and obtaining a sorting result through a kernel density estimation clustering algorithm according to the target image and the template storage library. The method has the following effects that the ore area gray level co-occurrence matrix entropy is introduced to serve as the characteristic value, and the ore sorting accuracy and efficiency are improved.

The invention relates to the technical field of ore separation, and provides an ore separation device which comprises a screen box, a screen mesh, a material distribution groove body, a rotating shaft and a material distribution auger, the screen mesh is movably arranged relative to the screen box, the material distribution groove body is arranged on the screen box and located above the top end of the screen mesh, a discharging hole is formed in the bottom of the material distribution groove body, and the rotating shaft is rotationally arranged in the material distribution groove body; the material distribution auger is arranged on the rotating shaft, is divided into two sections, has opposite rotating directions and is used for pushing materials in the middle of the material distribution groove body to the two sides. By means of the technical scheme, the problem that in the prior art, ore particles located in the front end area of the vibrating screen cannot be evenly spread in the transverse direction in time is solved.

According to the raw ore classification method, device and equipment provided by the invention, the recognition performance of a YOLOv8 model is optimized by training and verifying a raw ore image data set, especially a scheelite calcareous degree image data set, and setting an overlapping degree IoU loss function for measuring the matching degree of the position and the scale between a prediction frame and a target frame, so that the recognition efficiency is improved. The precision and the speed of raw ore automatic identification are improved, and the double requirements of an ore separation system for real-time performance and accuracy are met.

The invention discloses an ore flotation settling separation device, and belongs to the technical field of ore extraction, the ore flotation settling separation device comprises a treatment cylinder, a rotatable inner cylinder is arranged in the treatment cylinder, a plurality of through holes are formed in the side face of the inner cylinder, a separate adjusting assembly is arranged in the inner cylinder, and an adding assembly is arranged outside the treatment cylinder; an adjusting assembly is arranged between the inner cylinder and the adding assembly; according to the invention, through the arrangement of the sorting assembly, ores are screened and sorted while being turned and cleaned, the ores with different sizes are sorted, the combination of ore turning and cleaning and synchronous ore sorting is realized, and the ore sorting is isolated in different spaces, so that the ores are dispersed more uniformly; and the agent liquid is intermittently and gradually added into the treatment barrel through the adding assembly, so that the agent can be fully dissolved and diffused in batches, the efficiency of uniformly mixing the agent liquid with the cleaning liquid is improved, and the ore surface impurity removal effect is improved.

The invention discloses a mechanical wall-cutting and filling mining method for gypsum ore. Aiming at the problems of difficulty in ventilation, high labor intensity, low production efficiency, poor surrounding rock stability and the like in a traditional wall cutting filling method, the method realizes safe and efficient mining of an extremely thin ore body through mechanical ore breaking, precise separation of a photoelectric ore separator and an in-situ immediate filling process of waste rocks. The method comprises the steps of ore block parameter design, mining preparation cutting, mechanical stoping, photoelectric mineral separation, barren rock in-situ filling and goaf ground pressure management, the stope structure and process can be dynamically adjusted according to the thickness and inclination angle of an ore body, and operation accuracy and safety are guaranteed through laser monitoring and supporting measures. According to the method, the mechanization level and mining and stoping efficiency of a gypsum mine mining process are remarkably improved, manual selection operation is reduced or even canceled, the labor intensity and cost of workers are reduced, the operation environment is improved, the stability of surrounding rock is improved, the method is suitable for mining of extremely thin ore bodies and other similar ore bodies under different conditions, and a foundation is laid for mine intelligent construction.

The invention discloses an ore sorting system and method based on deep learning, and the method comprises the steps: carrying out particle size grading and ore washing treatment on raw ore through a plurality of layers of vibrating screens to obtain pretreated graded ore, and collecting image data and hyperspectral data of the pretreated graded ore; respectively extracting surface features of the image data and spectral features of the hyperspectral data by using a first network and a second network constructed based on a deep learning algorithm, fusing the surface features and the spectral features, and inputting the fused features into a classification network to obtain ore types and ore principal components; and air injection parameters are calculated according to the conveyor belt speed, the ore mass and the air density, a concentrate separation instruction is determined, and ore separation is executed according to the air injection parameters and the separation instruction. The invention relates to the technical field of ores, and solves the technical problems of low treatment efficiency and insufficient separation accuracy of an existing ore separation method.

The present invention discloses an ore sorting system and method based on deep learning. The method includes: performing particle size grading and ore washing on the raw ore through several layers of vibrating screens to obtain preprocessed graded ore, and collecting image data and hyperspectral data of the preprocessed graded ore; using a first network and a second network constructed based on deep learning algorithms to extract the surface features of the image data and the spectral features of the hyperspectral data respectively, and fusing the surface features and the spectral features and inputting them into a classification network to obtain the ore type and the main components of the ore; calculating jet parameters based on the conveyor belt speed, the ore quality, and the air density, and determining the sorting instruction for the concentrate, and performing ore sorting according to the jet parameters and the sorting instruction. The present invention relates to the technical field of ores, and solves the technical problems of low processing efficiency and insufficient sorting accuracy of existing ore sorting methods.

The invention discloses an ore sorting device which comprises a conveying unit (1), a picking unit (2) and a sorting unit (3), wherein the picking unit (2) and the sorting unit (3) are used in cooperation with the conveying unit. The conveying unit comprises a first conveying belt (11) and a second conveying belt (12), the first conveying belt (11) is used for receiving and conveying ore, the second conveying belt (12) is used for receiving the ore conveyed by the first conveying belt (11) and conveying the ore to the sorting unit (3), and the picking unit (2) is located between the first conveying belt (11) and the second conveying belt (12). The picking unit (3) is used for picking the ores from the first conveying belt (11) to the second conveying belt (12), and the sorting unit (3) is used for sorting the ores on the second conveying belt (12) according to different mass ranges; according to the ore sorting device, by accurately sensing the position of the ore, efficient and accurate ore sorting is achieved, the accuracy degree of ore sorting is greatly improved, the ore can be sorted in a quality magnitude classification mode, the ore sorting efficiency is improved, the resource investment and cost of manual labor are reduced, and the working environment of ore sorting is optimized.

According to the lead-zinc ore sorting method and the electronic equipment, in the preprocessing stage, an obtained raw ore high-energy diagram is registered with a low-energy diagram as the benchmark, physical response difference measurement is adopted, the low-energy diagram and the registered high-energy diagram are fused to obtain a fusion diagram, the fusion diagram is colored according to a color transition rule, a pseudo-color diagram is obtained, and a lead-zinc ore sorting result is obtained. And the pseudo-color image is used as input, and a target detection model based on deep learning is used for processing, so that accurate and efficient recognition of the lead-zinc ore in the raw ore is realized.

The utility model belongs to the technical field of ore sorting, and particularly relates to a belt conveyor which comprises a conveyor belt and an iron removal device arranged at the upper end of the conveyor belt, the iron removal device comprises rotating shafts, a belt and an electromagnetic coil, the belt is arranged on the outer sides of at least two rotating shafts, and the electromagnetic coil is arranged in the belt. A rotating shaft is arranged below the iron removal device, a protruding block is arranged at one end of the rotating shaft, a driving piece is arranged at the other end of the rotating shaft, a connecting base is arranged on the protruding block, a lifting piece I is arranged below the connecting base, a supporting assembly is arranged on the driving piece, and a lifting piece II is arranged below the supporting assembly. When the weak magnetic metal is detected, the height of the iron removal device can be adjusted, so that the iron removal device is closer to the conveying belt, and the weak magnetic metal is separated out.

The ore screening and grading all-in-one machine comprises a fixed seat, two mounting plates are arranged above the fixed seat, and two guide assemblies are arranged at the bottoms of the two mounting plates. An ore screening and grading method comprises the following steps that S1, during use, ore needing to be screened and graded is poured into a discharging hopper and slides to a screening plate through a discharging pipe, meanwhile, a first motor is started to drive a crankshaft to rotate circumferentially, and the screening plate moves in a reciprocating mode to shake the ore on the surface of the screening plate back and forth; and therefore, the ores with different sizes can be screened. By means of the reciprocating screening plate and the material control plate, the ore screening difficulty of the device can be reduced, the ore sorting efficiency and screening effect of the screening plate are improved, meanwhile, by means of cooperation of a second motor and a vibration motor, automatic cleaning and maintenance of the device can be achieved, and efficient operation of the device can be maintained.

The invention discloses a low-grade copper ore image sorting method based on deep learning. The low-grade copper ore image sorting method comprises the following steps that a dual-energy X-ray image of low-grade copper ore is obtained; constructing a time step embedded U-Net network, and inputting the dual-energy X-ray image of the low-grade copper ore into the time step embedded U-Net network to generate a diversified copper ore dual-energy X-ray image; constructing a self-adaptive copper ore sorting model; the diversified copper ore dual-energy X-ray images are input into a self-adaptive copper ore sorting model, and copper ore is sorted; according to the method, the separation process is optimized by fusing the dual-energy X-ray imaging technology and the data enhancement technology, compared with traditional single-energy imaging, the difference of copper minerals and waste rocks in an image feature space is enhanced, the recognition difficulty of a model on complex textures is reduced, the number of links of crushing and flotation of invalid ores can be reduced, and the separation efficiency is improved. The energy consumption and the use amount of chemical agents are obviously reduced.

The invention discloses a parameter optimization method and system for an imaging structure of an XRT ore sorting machine. The parameter optimization method comprises the steps that structure parameter information of a target XRT ore sorting machine is obtained; constructing a simulation model of the target XRT ore sorting machine in simulation software; the influence of each element in the X-ray imaging structure on the signal-to-noise ratio of the image is researched, and a final influence factor is determined; and by taking the maximum signal-to-noise ratio and the minimum X-ray source power as optimization objectives and taking actual working conditions and process conditions as constraints, constructing a parameter optimization model of the imaging structure of the XRT ore sorting machine and solving the parameter optimization model to finish parameter optimization of the imaging structure of the target XRT ore sorting machine. According to the method, accurate modeling and simulation are conducted on the target XRT ore sorting machine, targeted parameter optimization model construction and solution are conducted after the influence factors of the parameters are determined, parameter optimization of the imaging structure of the target XRT ore sorting machine is achieved, and the scheme is relatively simple, higher in precision and better in effect.

The utility model discloses a raw coal impurity removal device for production of a coal preparation plant, and relates to the technical field of mineral aggregate sorting equipment, the raw coal impurity removal device comprises an impurity removal mounting shell and an impurity removal conveying mechanism mounted in the impurity removal mounting shell, the impurity removal mounting shell is provided with a feed port, a discharge port and an impurity discharge port which are communicated with the outside, the feed port is arranged at the upper position of the impurity removal mounting shell, and the discharge port is arranged at the lower position of the impurity removal mounting shell. The discharging port is formed in the side, close to the feeding port, of the lower portion of the impurity removal mounting shell, the impurity discharging port is formed in the side, away from the feeding port, of the lower portion of the impurity removal mounting shell, one side of the impurity removal conveying mechanism is a separation part, the other side of the impurity removal conveying mechanism is an impurity discharging part, and the separation part is located between the feeding port and the discharging port. The impurity removal conveying mechanism can convey materials located on the separation portion to the impurity outlet portion, the impurity removal conveying mechanism is obliquely arranged, the arrangement height of the separation portion is lower than the arrangement height of the impurity outlet portion, the impurity removal conveying mechanism comprises a conveying belt, and a plurality of C-shaped hanging hooks are distributed on the outer side face of the conveying belt. According to the scheme, impurities in raw coal can be separated and removed.

The invention relates to the field of image processing, in particular to an ore sorting machine and an ore sorting method based on the ore sorting machine, and the method comprises the steps that images on the surface of a conveying belt are collected in real time, the collected images of two adjacent frames are spliced in the height direction, and a spliced image is obtained; during acquisition, the pose of the industrial camera is kept unchanged, and two adjacent frames of images respectively correspond to two adjacent and non-overlapping areas on the conveyor belt; inputting the spliced image into a trained improved YOLO model, thereby identifying category information, position information and contour mask information of each ore in the spliced image; extracting the contour of the ore according to the contour mask information of the ore; and air valves corresponding to all nozzles at the tail end of the conveying belt are controlled according to the recognized types, positions and contours of all the ores, so that blowing sorting of the ores is achieved. With the adoption of the method, the accuracy and the real-time performance of blowing separation of ores can be effectively improved.

The invention provides an ore uniform dispersing and distributing device and a double-recognition sorting system, and belongs to the technical field of ore sorting. The ore uniform distribution device and the double-recognition sorting system comprise a conveying belt and a supporting frame, a supporting table is installed between the conveying belt and the supporting frame, a uniform distribution mechanism is arranged on the supporting table, and the uniform distribution mechanism comprises a first hanging frame and a third reciprocating rod; the first mounting frame is fixedly mounted on the inner top wall of the supporting table, a first reciprocating rod is slidably arranged in the first mounting frame in a sleeved mode, and a second reciprocating rod is slidably arranged in the first reciprocating rod in a sleeved mode. According to the device, the uniform scattering mechanism is arranged, so that a uniform scattering seat and a partition plate reciprocate above the conveying belt along a square track, coal gangue on the conveying belt is uniformly scattered and spread, and the problem that the industrial camera cannot accurately recognize the coal gangue due to subsequent accumulation of the coal gangue is avoided.

The invention relates to a deep-sea mining full-process pilot test system and a use method thereof in the technical field of deep-sea mining engineering, and the full-process pilot test system mainly comprises a collecting and mining test system, a vertical lifting test system, an ore separation test system and a test measurement monitoring system, the collecting and mining test system comprises a test pool, a deep water test area, a shallow water test area, a fan, a wave maker, a circulating water pump, a mining device, a mining vehicle, a trolley, a wave absorbing plate and a trolley guide rail; the vertical lifting test system comprises a vertical pipeline and a pipeline supporting platform; the ore separation test system mainly comprises an ore separation cabin, an overflow device and a cabin entering energy dissipation device. According to the invention, test research on key technologies and equipment of each subsystem of the pipeline lifting type mining system can be carried out, more importantly, full-process test of the pipeline lifting type mining system can be carried out, collaborative operation characteristics of each subsystem are researched, and the stability and safety of the whole system are explored.

The invention is suitable for the technical field of slurry making and ore separating devices, and provides a mining wet-type screening slurry making and ore separating device which comprises an ore feeding machine, a wet-type screening machine, a slurry making machine and an ore separating machine. The slurrying machine is composed of a slurrying frame, a slurry feeding cylinder, a slurrying cylinder, a slurry discharging cylinder, a connecting cylinder, a rotating mechanism, a screw rod, a control mechanism, a rotating cylinder, an arc-shaped guide vane, a homogenizing paddle, an adjusting mechanism and a control system, the arc-shaped guide vane is an inwards-concave arc-shaped vane, the concave surface of the arc-shaped guide vane faces the slurry feeding direction, and the homogenizing paddle is a rectangular paddle; the adjusting mechanism is matched with the rotating mechanism, the control mechanism and the screw rod to change the inclination angles of the arc-shaped guide vanes and the homogenizing paddles, the arc-shaped guide vanes and the homogenizing paddles realize accurate regulation and control on the ore pulp concentration in a manner of rotating and changing the inclination angles, and when the inclination angles are reduced, the retention time of the ore pulp is prolonged; and when the inclination angle is synchronously increased, the retention time of the ore pulp is shortened, and the mixing concentration of the ore pulp is reduced.

The utility model relates to the technical field of ore sorting equipment, and discloses a crawler-type ore sorting machine which comprises a material separating bin, a vibrating screen is inserted into the material separating bin, a fixing plate is fixedly connected to the outer wall of the side, located outside the material separating bin, of the vibrating screen, a limiting plate is fixedly connected to the outer wall of one end of the fixing plate, and a limiting groove is formed in the outer wall of the limiting plate; according to the ore separation device, the arranged vibrating screen is matched with vibration of the vibrating motor, ore can be subjected to vibration separation, when the vibrating screen is used for screening for a long time, part of ore particles can be clamped on filter holes of the vibrating screen, blockage is caused, and the ore separation device is convenient to use and high in practicability. At the moment, the vibrating screen can be quickly disassembled through the quick disassembling mechanism, the vibrating screen is pulled out of the material distribution bin to be cleaned or replaced, and the vibrating screen can be quickly and fixedly installed.

The invention relates to the technical field of ore separation, and discloses a multi-stage photoelectric-jigging-magnetic separation synergistic efficient ore separation process which comprises the following steps: A, material pretreatment and particle size regulation and control: raw ore raw materials are treated through crushing and screening equipment; the method comprises the following steps of: adding the raw materials into a magnetic separator to obtain a coarse-fraction product with the particle size range of 5-100mm and a fine-fraction product with the particle size range of 0.5-5mm, and cleaning and drying the products to remove surface dust and pollutants. Sequential and parallel recognition and sorting of multi-dimensional physical attributes such as color (photoelectricity), density (jigging) and magnetism (magnetic separation) of ore particles are achieved, the function limitation of a single sorting method is overcome through the multi-technology coupling mechanism, and a large amount of waste rock is efficiently thrown at the front end through photoelectric pre-sorting; the enriched valuable minerals can be intensively treated by subsequent gravity separation and magnetic separation equipment, and the unit operation efficiency is improved.

The invention relates to the technical field of ore sorting, and discloses a cleaning device for a vertical annular material distribution structure and a concentrating machine.The cleaning device for the vertical annular material distribution structure comprises a first base and a cleaning unit.The cleaning unit making contact with the surface of a to-be-cleaned part is arranged, so that the surface of the to-be-cleaned part is cleaned in the rotating process of the cleaning unit; according to the cleaning device, the surface of the to-be-cleaned part can be cleaned, so that the cleaning device can be suitable for the vertical annular to-be-cleaned part, manual operation is not needed, the labor cost can be saved, and the technical effect of improving the cleaning efficiency can be achieved.

The invention provides an underground short-process mining, selecting and filling auxiliary system suitable for a deep-well large-scale mine, and relates to the technical field of underground mining of metal mines, the underground short-process mining, selecting and filling auxiliary system comprises a feeding system, a coarse crushing system, a roughing system and a transfer system; the underground short-process mining, selecting and filling auxiliary system is arranged in a panel interval column near the serious ore dilution; the feeding system transports depleted ore mined from a stope to the coarse crushing system in the panel inter-column; the coarse crushing system is used for crushing the mined depleted ore; the roughing system comprises a rough crushing system, and the roughing system is used for separating waste rocks and ores from the crushed depleted ores; and the transfer system is used for conveying the sorted ore into an ore winze in a panel interval column through a belt conveyor, the ore is conveyed to an ore bin of the main production system from the lower middle section until the ore is conveyed out of the earth surface, and the waste ore fills a nearby goaf through the belt conveyor. The mining, selecting and filling auxiliary system can effectively reduce the ore lifting cost and the ground surface ore dressing load, and is beneficial to reducing the lowest mining grade of an ore deposit.

A method and device for sorting lump ore relate to the mining and processing industry, and more particularly to technology for pre-processing ores containing a valuable component that has a low concentration and low mass fraction in the rock mass which correlate with the distribution of the component, or for pre-processing ores containing minerals with low magnetic susceptibility or non-magnetic minerals. The working of the device and the method are based on a 3D electromagnetic method which utilizes two systems: a 3D scanner (1) and an inductive sensor system (3) with electromagnetic coils. The two systems operate in a consolidated manner, with the 3D scanner (1) system acting as a master system and the inductive sensor system (3) acting as a slave system. The inductive sensor system (3) is configured in the form of a matrix (6) of coils, the parameters of which are stored in a computing unit (10). The 3D scanner (1) scans lumps of ore and generates a data array which is also supplied to the computing unit (10), which processes the data array and determines the order of activation of individual sensors.

The invention discloses an ore sorting system and method for real-time positioning and classification recognition based on deep learning, and relates to the technical field of AI vision, and the system comprises the following modules: an ore image multi-source fusion module which is used for collecting and preprocessing multi-modal ore images and fusing the multi-modal ore images to form a multi-modal image set; and the end-to-end deep learning reasoning module is used for combining an improved pyramid network structure and a local attention mechanism, extracting and fusing multi-scale feature information, performing reasoning calculation to output a recognition result, and obtaining a position coordinate, a category result and a judgment confidence coefficient of the ore. According to the method, through multi-modal image fusion and end-to-end deep learning reasoning, the position, category and contour information of the ore can be accurately recognized, the problem that the recognition rate of complex ore features, especially hard-to-process ores such as pock ores and linear ores, of a traditional method is low is effectively solved, the sorting precision is remarkably improved, and the sorting efficiency is improved. And mistaken discarding of concentrates and mistaken selection of tailings are reduced.

The invention discloses a vanadium ore separation intelligent control system based on machine vision, relates to the technical field of ore separation intelligent control, and solves the problem of inaccurate separation caused by MFAC convergence, time delay coupling and a two-dimensional vision depth blind area of an existing ore separation system. Synchronizing multiple paths of process signals and images based on a hardware timestamp through an acquisition module; the fusion module constructs a multi-modal mine condition model and performs online filtering to extract a state vector and a trigger point; the observation module adopts online augmented Kalman decoupling ore grinding-rotational flow-grading coupling; the control module introduces sliding time domain optimization of network time delay compensation; the positioning module reconstructs a three-dimensional attitude through multi-view structured light phase decoding and baseline self-calibration; the execution module uses rolling time domain window trajectory scheduling; the calibration module adaptively updates parameters of each sub-module in real time; according to the method, the sorting control robustness and the injection positioning precision are remarkably improved, the wrong sorting rate and the maintenance cost are reduced, and the stable productivity under high flux is guaranteed.

The invention discloses coal gangue sorting equipment based on visible light camera and X-ray fusion, and belongs to the field of coal gangue sorting. Coal gangue separation equipment based on visible light camera and X-ray fusion comprises a support, a conveying belt is arranged on the support, the coal gangue separation equipment further comprises supporting legs fixedly arranged on the support, and an X-ray emitter is arranged on a top plate; the detector is arranged between the surrounding conveying belts, and the detector is fixedly connected with the support; the vertical plate is fixedly arranged on the top plate, and a line scanning camera is fixedly connected to the vertical plate; a strip-shaped light source generator matched with the line scanning camera is arranged on the U-shaped frame in a sliding manner; the X-ray imaging module and the visible light imaging module are installed above the coal gangue sorting machine and used for collecting visible light images of coal gangue and ore sorting, the visual imaging precision is high, the scanning speed is high, and surface images of coal and gangue can still be shot in a high-definition mode under the severe working condition.

The utility model discloses a high frequency vibrating screen device for zirconium titanium ore sorting relates to mineral processing field. A high frequency vibrating screen device for zirconium titanium ore sorting, including screening box, still include: a plurality of oblique settings screening board, from top to bottom equal interval staggered fixed connection in screening box, the both sides of screening box are opened in the symmetry and have the flow through cavity, the utility model discloses through the consistent screen hole design of multilayer screening board and high frequency vibration cooperation, has realized zirconium titanium ore material's efficient continuous screening, and small particle is fast and sieves when first contact screen surface, and large particle is repeatedly refined through multistage screening board, finally through first discharge port and second discharge port accurate separation, effectively improved the screening efficiency, and through continuously to the feed pipe conveying material, and the device can continuous operation, need not stop machine to take and put material, and the continuity of production is greatly improved, reduces manpower cost and equipment loss, especially suitable for the efficient production demand of large -scale zirconium titanium ore processing enterprise.

The utility model relates to the technical field of ore processing, and discloses an ore sorting machine for ore conveying, which comprises a rack, the inner top and the inner bottom of the rack are respectively and fixedly connected with a group of connecting rods, one end of each group of connecting rods is jointly and fixedly connected with a connecting ring, and one end of each pair of connecting rings is jointly and fixedly connected with a supporting tank. The device further comprises a sorting assembly arranged in the supporting tank, and a feeding and discharging assembly is arranged outside the supporting tank. The effect of improving the ore separation efficiency is achieved, due to the arrangement of the inclined separation tank, ore particles in the separation tank automatically roll towards the discharging plate under the action of gravity, and then the ore particles are separated from the discharging plate through mutual cooperation of the motor, the first bevel gear and the second bevel gear. And the first filter plate, the second filter plate and the third filter plate rotate in opposite directions relative to the material pushing plate, the relative movement rate of ore particles is increased, and the problem that it is difficult for the device to effectively improve the ore separation efficiency is solved.