22 results about "Metal mining" patented technology

The present application provides a metal mining area earthquake frequency resonance interference processing method and system based on deep learning, relating to the technical field of signal data processing, the method comprising: arranging an observation array in a metal mining area, collecting earthquake frequency resonance original data containing environmental vibration interference; preprocessing the earthquake frequency resonance original data by standardization and format conversion, extracting time domain sequences containing three-axis acceleration information; inputting the time domain sequences into a pre-trained deep learning model, identifying and preliminarily separating the environmental vibration interference signals; performing time-frequency analysis on the preliminarily separated environmental vibration interference signals, dynamically determining at least three characteristic positioning points in the time-frequency characteristic space, the characteristic positioning points being selected from specific frequency amplitude peak points, time-frequency energy ridge intersection points and phase mutation points. The present application realizes accurate identification and directional rejection of non-steady-state and strongly coupled environmental vibration interference in the mining area, and maximally retains effective resonance signals reflecting underground geological structures.

The utility model discloses a mine wool separating device for an underground mine, and relates to the technical field of metal mine mining. The separator comprises a separator body, the top of the separator body is provided with a feeding port, a screen is arranged in the separator body, a crushing assembly and a discharging pipe are further arranged in the separator body, the crushing assembly is located above the screen, the driving end of the crushing assembly is connected with a power assembly, the discharging pipe is arranged at the bottom of the inner wall of the separator body, and the discharging pipe is connected with the crushing assembly. By means of screening after crushing, ore which is originally difficult to separate due to large particle size is refined, so that the amount of useful ore which can be separated is increased, resource waste caused by direct discarding of ore wool and contact with the ore is avoided, and the recovery rate of the ore is remarkably improved.

The invention belongs to the technical field of non-ferrous metal smelting, and discloses a resource collaborative utilization method of multi-source low-grade non-ferrous metal mining and metallurgy waste difficult to utilize. The zinc smelting leaching slag and the copper deposition slag are put into a copper smelting matte smelting furnace to be smelted, and smelting slag, smelting smoke dust and high-lead zinc copper matte are produced; adding the high-lead-zinc-copper matte into gold mill tailings and / or copper deposition slag for blowing to produce blowing crude copper, blowing smoke dust and blowing slag; converting slag is transferred to a fuming furnace in a hot state, the converting slag, aluminum electrolysis carbon slag and overhaul slag jointly complete the reduction fuming process, and high-nickel crude copper, fuming slag and fuming furnace smoke dust are produced. According to the method, green low-carbon resource circulation of metals such as Pb, Zn, Ni, Au and Ag in the low-grade nonferrous metal mining and metallurgy waste residues difficult to utilize is achieved.

The application relates to the technical field of excavating devices, and discloses an excavating device for underground metal mine exploitation, which comprises an excavating device main body, a bucket assembly arranged on the front side of a connecting rod mechanism of the excavating device main body, two groups of adjusting assemblies arranged on the bucket assembly, two groups of connecting plates movably connected to a connecting mechanism of the excavating device main body, a bucket back plate fixedly arranged at the lower end of the connecting plate, four groups of bucket teeth fixedly arranged at the lower side of the bucket back plate, two groups of equipment seats fixedly arranged at the position close to the connecting plate at the upper end of the bucket back plate, and hydraulic cylinders fixedly arranged at the upper sides of the two groups of equipment seats. The excavating device for underground metal mine exploitation can realize width size adjustment and make the bucket back plates on both sides present a screen bag state to shake the metal mine in the bucket back plate through overall cooperation.

The invention discloses a high-precision denoising method suitable for gravity data of a metal mine area, which belongs to the technical field of gravity data denoising, and comprises the following steps: (1) data preparation and initial preprocessing; (2) quickly focusing, inverting and extracting a geologic structure template; (3) forward modeling calculation and signal extraction; (4) noise field estimation and feature analysis; (5) constructing an adaptive filter; and (6) applying filtering and iteration to terminate judgment. According to the method, the inherent limitation of an existing frequency filtering method in the aspect of distinguishing mine-induced anomalies and noise is effectively solved, the dependence on artificial experience is remarkably reduced, the objectivity of filtering parameter selection is improved, a reliable scheme is provided for high-precision denoising of metal mine area gravity data, and the method is suitable for popularization and application. And effective support is provided for accurate detection and positioning of the weak concealed ore body.

The utility model discloses an underground ventilation device for metal mining, and relates to the technical field of mining ventilation. The device comprises an air inlet pipeline, a ventilation fan, a filter screen and a dust blocking plate are sequentially arranged in the air inlet pipeline, a collecting box is arranged at the bottom of the filter screen, a cleaning mechanism is arranged between the filter screen and the dust blocking plate, a driving belt wheel and a threaded block are sequentially connected to a first screw of the cleaning mechanism, and a driven shaft is rotationally installed on the inner wall of the air inlet pipeline. A driven belt wheel is installed on the driven shaft, a plurality of impact rods are installed on a fixed block connected to the bottom of the driven shaft, and the impact rods impact the impact block when rotating. By means of the mode, the dust blocking plate vibrates, so that dust and solid impurities attached to the dust blocking plate fall off, the phenomenon that the dust blocking plate is blocked is avoided, the ventilation effect of the dust blocking plate is improved, and the breathing efficiency of workers in a mine is guaranteed.

The invention relates to the technical field of artificial intelligence, and provides a non-ferrous metal mining area karst groundwater analysis method based on deep machine learning, and the method comprises the steps: obtaining a multi-source time sequence of a source mining area in a target time period, and combining the multi-source time sequence into an input-output sample pair; constructing an LSTM analysis model of the source mining area, and performing hyper-parameter optimization on the LSTM analysis model by using a Bayesian optimization algorithm to obtain an optimized LSTM model; using the input-output sample pair to train the optimized LSTM model to obtain an initial groundwater analysis model; migrating the initial groundwater analysis model from the source mining area to a target mining area by adopting a migration learning method to obtain a final groundwater analysis model matched with the target mining area; and outputting an underground water analysis result corresponding to the real-time rainfall of the target mining area through the final underground water analysis model. The method can overcome the defects that an existing karst groundwater dynamic prediction model must be trained on a large scale again after a mining area is replaced, and the generalization ability is weak.

This invention relates to an early warning system and method for ground pressure disasters in deep metal mining. The system combines high-sensitivity microseismic sensors, distributed acquisition units, signal processing and recognition technology, three-dimensional wave velocity model construction, data visualization, and a multi-parameter fusion early warning algorithm to achieve real-time, accurate monitoring and intelligent early warning of the entire rock mass fracturing process. The system hardware layer includes a 14Hz Geophones sensor network deployed in different deep sections, a netADC / netSP acquisition and processing module, and a UPS power supply system. The software layer includes modules for seismic source localization, feature extraction, deep learning classification, multi-parameter fusion model construction, and dynamic early warning output, supporting multi-platform operation and remote control. By constructing a three-dimensional wave velocity model, identifying microseismic signals in real time, and extracting multiple parameters such as energy, frequency, cumulative apparent volume, and Schmidt number, the system can achieve an early warning accuracy rate of ≥90%, significantly improving the ability to prevent and control ground pressure disasters in mines under complex geological conditions.

This invention discloses a multi-stage graded crushing device and method for metal mining, belonging to the technical field of mining equipment. It includes a vehicle body, a mining mechanism, and a crushing mechanism. The crushing mechanism is located above the vehicle body. The mining mechanism is constructed by mounting a robotic arm at the front end of the vehicle body. The mining mechanism includes a frame, a tunneling component, and a dust collection component. The rear bottom end of the frame is hinged to the top end of the robotic arm. The tunneling component is located inside the frame. The dust collection component includes multiple sliding rods, multiple sets of limiting components, a dust collection device, a collection pipe, and multiple first flexible hoses. The sliding rods are hollow inside and have horizontally opened suction ports facing the tunneling component. The suction ports are connected to the interior of the sliding rods. The interiors of the multiple sliding rods are connected to the collection pipe through multiple first flexible hoses. A receiving mechanism is provided at the bottom front end of the frame to receive the mined crushed ore. This invention effectively solves the problem of equipment being unable to effectively handle dust during mining.

The invention discloses a heavy metal pollution risk grading evaluation method for a black metal mining area, and belongs to the technical field of environmental protection. The method is based on a source-approach-receptor risk evaluation theoretical model, an evaluation index system comprising three criterion layers of risk source danger, diffusion migration ability and sensitive receptor vulnerability is constructed, index weights are determined by combining an analytic hierarchy process and expert consultation, and environmental risk values of evaluation units are calculated through a comprehensive risk index model. And a natural breakpoint method is utilized to divide the mining area into a low-risk area, a general-risk area, a high-risk area and an extremely-high-risk area, and finally, an environment risk partition map is generated by means of ArcGIS. According to the invention, systematic quantification and spatial visualization of heavy metal pollution risks are realized, high-risk areas can be accurately identified, and scientific basis and decision support are provided for mining area environmental risk hierarchical management and control and ecological restoration.

This application discloses an industrial ring network system for metal and non-metal mines, relating to the field of metal and non-metal mine network and security technology. It includes an industrial ring network core module, a surface ring network aggregation module, an underground ring network aggregation module, and a data center network module. The surface ring network aggregation module, underground ring network aggregation module, and data center network module are all connected to the industrial ring network core module. The technical solution of this application employs a ring network transmission redundancy architecture collaboratively constructed by the industrial ring network core module, surface ring network aggregation module, underground ring network aggregation module, and data center network module. This architecture can automatically switch to redundant backup transmission channels in the event of link or equipment failure, achieving rapid self-healing of network faults and ensuring continuous and stable transmission of mine data. This improves the resilience and business continuity of the metal and non-metal mine industrial network, providing reliable network support for the safe production and efficient operation of smart mines.

The application discloses a gravity data separation method, device and equipment for a metal mining area and a medium, and relates to the technical field of gravity anomaly data processing. The method comprises the following steps: measuring gravity data of each measuring point in a target area, and preprocessing to obtain Bouguer gravity anomaly data of each measuring point in the target area; calculating the radial logarithmic power spectrum of the Bouguer gravity anomaly data, dividing the radial logarithmic power spectrum into multiple characteristic frequency bands, and extracting the Bouguer gravity anomaly data of each characteristic frequency band; and performing physical property inversion calculation based on the Bouguer gravity anomaly data of each characteristic frequency band to obtain the underground space density distribution result of the target area. In the constraint iteration process, the inversion result is approximated to the prior information, the gravity potential field inversion result of the metal mining area with clear prior information is strictly constrained in the minimum interval of the known prior information, and therefore the accuracy of the underground ore body position inversion is improved.

The present application relates to the field of technologies aimed at reusing waste generated by the mining industry. In particular, the invention relates to a method for producing agglomerates from tailings originating from metal mining and an agglomerate for use as a replacement for aggregates.

The mineral processing equipment comprises a rectangular machine shell, the top of the rectangular machine shell is sleeved with a rectangular sleeve shell, the top of the rectangular sleeve shell is fixedly provided with a funnel, the bottom of one end of the rectangular machine shell is fixedly communicated with a discharging channel, and the end, away from the discharging channel, of the rectangular machine shell is provided with a qualified product discharging port. A conveying mechanism extending into the discharging channel is fixedly installed in the rectangular machine shell, a first rotating base is fixedly arranged at the top of one end of the inner wall of the rectangular machine shell and rotationally connected with a main rod, a plurality of evenly-distributed inclined rib rods are fixedly arranged on the two sides of the main rod correspondingly, and unqualified product discharging ports are formed in the two sides of the rectangular sleeve shell correspondingly. According to the mineral processing equipment for mining the non-ferrous metal ores, the non-ferrous metal ores are effectively screened and classified, the mineral processing efficiency and accuracy are greatly improved, meanwhile, the maintenance of the equipment is relatively simple and convenient, and the operation cost is reduced.

The invention provides a metal mine area seismic frequency resonance shear wave velocity automatic modeling method and system, and relates to the technical field of geophysical exploration, and the method comprises the steps: extracting multi-band resonance response characteristics at least containing the amplitude spectrum and phase information of each frequency point from obtained metal mine area frequency resonance seismic data after interference processing; performing normal stress analysis on the multi-band resonance response characteristics, enabling the underground target geologic body to be equivalent to an elastic beam model subjected to resonance load, taking an amplitude spectrum as a dynamic load amplitude value, and based on bending mechanical response of the elastic beam model, converting seismic resonance response of a frequency domain into simulated stress distribution characteristics in the underground target geologic body; and dynamically identifying a group of stress field control nodes in the three-dimensional stress field based on the simulated stress distribution characteristics. The method is suitable for three-dimensional shear wave velocity structure inversion and high-precision geologic modeling of complex structures and deep concealed metal mine areas under the condition of lack of logging information.

The invention belongs to the field of soil environment big data, and particularly relates to a non-ferrous metal mining area soil pollution range estimation method and system based on mechanical learning, and the method comprises the steps: collecting mining area peripheral pollution and natural environment data, and dividing the mining area peripheral pollution and natural environment data into data groups of different distance segments; establishing a pollution range estimation probability model by adopting a logistic regression method and a Sigmoid function; the ROC curve is utilized to evaluate the performance of the model and determine the pollution range, and soil pollution prevention and precise management of the nonferrous metal mining area are supported.

This application provides a backfilling and stacking mining method without external vein preparation, belonging to the field of underground metal mining. In this method, a return airway and an intake airway are first excavated in the pillars at both ends of the mining panel. Then, an ore extraction haulage roadway is excavated at the bottom of the stope, penetrating the trapezoidal first mining block, the parallelogram-shaped secondary mining block, and the trapezoidal final mining block, and connecting to the return airway and the intake airway, forming a ventilation system. Next, the trapezoidal first mining block, the parallelogram-shaped secondary mining block, and the trapezoidal final mining block are mined sequentially, with each block being mined in layers from bottom to top. As mining progresses, dynamically changing ore passes, first false roadways, first vein inclined ramps, second false roadways, second vein inclined ramps, and third false roadways are formed within the ore body. This method eliminates the need for external vein preparation and cutting works, reducing mining costs; compared to the full-face method and room-and-pillar method, it provides better ventilation; and there is virtually no ore residue.

This application relates to the field of metal mining technology and proposes a method, apparatus, equipment, and medium for estimating the heavy metal content in soil. The method includes: collecting soil samples from a target area and determining the content of multiple heavy metal elements; acquiring visible-near-infrared hyperspectral reflectance data and X-ray fluorescence spectral data of the soil samples; calculating the competition coefficients between heavy metal elements using the L-V competition model to determine the set of competing elements for the target heavy metal element; constructing a multi-objective optimization function based on the band importance of random forests, with the goal of maximizing the spectral response differences of the target heavy metal element and minimizing the spectral response differences of its competing elements; combining wavelength spacing constraints; using the NSGA-II algorithm to select the optimal set of band ratio features; training a machine learning regression model; and estimating the heavy metal content in the soil of the target area. This scheme significantly improves the inversion accuracy and stability of the model.

This invention relates to the field of tunnel support technology, and in particular to a smart tunnel support system for non-ferrous metal mining. Addressing the problem that existing tunnel support devices cannot protect against falling stones, this invention provides a smart tunnel support system for non-ferrous metal mining, comprising a column with a top beam at its upper end. Both the column and the top beam have retractable mechanisms on both sides, each including a sleeve with a protective cloth lining its inner wall. The inner wall of the column has a vertically movable drive plate, and the outer ends of the two sleeves have pull plates. When the drive plate moves upward, the top beam flips upward and the pull plates move outward. When the two pull plates move outward, the protective cloth unfolds outward. In its unfolded state, it provides comprehensive coverage and protection for the tunnel's top and side walls, effectively intercepting small stones falling from the top and side walls, thus solving the core problem of traditional support devices that can only prevent collapse but cannot prevent falling debris.

This utility model belongs to the field of waste rock processing machinery, specifically relating to a comprehensive recycling and processing equipment for waste rock from metal mining. It includes a machine chamber, with a grinding seat fixedly connected to the inner side of the upper opening of the machine chamber. Two supports are fixedly connected to the upper outer side of the machine chamber, and a support base is fixedly connected between the two supports, with the support base located above the machine chamber. A motor is fixedly installed in the middle of the upper end of the support base, and the output shaft of the motor passes through the support base and is connected to the support base via a bearing. This utility model uses an adjustment mechanism to adjust the gap between the crushing seat and the grinding seat, meeting the crushing requirements of waste rock of different particle sizes. Specifically, a hydraulic cylinder drives a convex pin to move a bushing up and down along a polygonal shaft, thereby precisely controlling the distance between the crushing seat and the grinding seat. This multi-stage adjustment function can adapt to differences in ore hardness and particle size, enabling both coarse crushing of large pieces of waste rock and fine grinding to the target particle size, significantly improving the resource recovery rate.

The present application relates to the field of surveying and geographic information technology, and discloses a kind of metal mining area topography updating method based on laser radar.The method comprises: fusing satellite SAR remote sensing image, unmanned aerial vehicle orthographic image and mining area production operation plan, and constructs topographic change probability grid model;Based on the model, identify high-probability change area and generate targeted laser radar scanning task;High-precision scanning is carried out by unmanned aerial vehicle platform, point cloud data is obtained, and denoising, registration and ground point extraction are carried out, and local update three-dimensional digital terrain reference model is carried out.The system comprises five modules of multi-source data acquisition, probability modeling, dynamic task planning, laser scanning execution and model updating.The present application reduces resource consumption through on-demand accurate scanning and closed-loop automatic updating, topographic monitoring efficiency, accuracy and timeliness.

This invention provides a directional blasting device for metal mining, comprising a first tube and a second tube. A rotating ring is mounted on the top surface of the first tube, and a snap-fit ​​ring is mounted on the top surface of the second tube. A rotating rod is fixedly connected to the lower surface of the rotating ring, and the bottom of the rotating rod extends into the first tube and is fitted with a rotating disk. A positioning component is provided in the upper part of the first tube, and splicing components are provided at the bottom of both the first and second tubes. A lubrication component is provided on the outer surface of the storage cavity within the second tube. This invention also discloses a method for directional blasting in metal mining. By using the positioning component and controlling the distance between the first tube and the inner wall of the borehole, this invention controls the gas in the expansion bladder. The expansion bladder positions the first tube at a suitable location within the borehole, allowing the blasting device to be fixed at any position within the borehole. This improves the accuracy of blasting in metal mines and reduces the operating cost of the blasting device.