39 results about "Metal mining" patented technology

The invention relates to the technical field of protective equipment, in particular to an underground metal mine mining roof supporting device and an installation method.The underground metal mine mining roof supporting device comprises detachable telescopic supports, a plurality of first sliding blocks are arranged on the left detachable telescopic support and the right detachable telescopic support at intervals from front to back, a cylinder is installed on each first sliding block, and a piston rod is slidably connected into each cylinder; supporting plates are connected to the piston rods through bolts, telescopic top beams are hinged between the two supporting plates which correspond to each other left and right, a left supporting piece and a right supporting piece are connected to the telescopic top beams in a sliding mode, and the supporting pieces are hinged to the first sliding blocks on the same sides. Each supporting plate can independently ascend and descend, each telescopic top beam can independently swing to adjust the angle where the supporting plate is located, and each telescopic top beam can independently stretch and retract to be adjusted so as to adapt to supporting of uneven mine tunnels, the effect of flexible adjustment can be achieved, and therefore the supporting device can adapt to the mine tunnels of different sizes and different shapes; therefore, the risk of local stress concentration can be reduced, and the mining supporting effect is improved.

The invention relates to the technical field of surveying and mapping and geographic information, and discloses a metal mine area terrain updating method based on a laser radar. The method comprises the following steps: fusing a satellite SAR remote sensing image, an unmanned aerial vehicle orthoimage and a mining area production operation plan, and constructing a topographic change probability grid model; based on the model, identifying a high-probability change area and generating a target laser radar scanning task; and the unmanned aerial vehicle platform executes high-precision scanning, denoising, registration and ground point extraction are performed after point cloud data are obtained, and the three-dimensional digital terrain reference model is locally updated. The system comprises a multi-source data acquisition module, a probability modeling module, a dynamic task planning module, a laser scanning execution module and a model updating module. Through on-demand accurate scanning and closed-loop automatic updating, the terrain monitoring efficiency, accuracy and timeliness are improved, and resource consumption is reduced.

The present invention designs a method for predicting the range of surface movement induced by underground metal mining. First, a three-dimensional geological model of the underground ore body and a three-dimensional refined calculation model are constructed; the safety level of surface structures is determined; the theoretical value of surface deformation is calculated using a probability integral method; then, the rock quality of each rock group is graded and evaluated using multiple rock quality evaluation methods such as RQD, RMR, and GSI; the rock mechanical parameters are determined using the Hock-Brown criterion; the ore body mining simulation is performed using the refined calculation model, and the effects of different safety pillar thicknesses, segment heights, and inter-panel pillar widths on rock layer and surface movement and damage induced by ore body mining are analyzed. The inclination, curvature, and horizontal deformation of each surface point are calculated and contour maps are drawn. The boundaries of the surface movement range are selected, the surface movement range is predicted, and the maximum movement range allowed by the safety level of surface structures is compared to confirm whether the mining method is reasonable. The method avoids casualties and property losses caused by surface movement and collapse.

The application discloses a phosphorus tailing and biomass composite soil conditioner and a preparation method thereof. In the preparation process, the phosphorus tailing is air-dried and sieved to obtain phosphorus tailing material, agricultural waste is dried, crushed and sieved to obtain agricultural waste material, and biomass is pyrolyzed in an anaerobic manner and sieved to obtain biochar material. Then, the phosphorus tailing material, the biochar material and the agricultural waste material are mixed at a proper proportion and subjected to microwave irradiation modification to obtain the composite soil conditioner. The application utilizes the phosphorus tailing to compound agricultural waste such as straw, and adopts irradiation technology to modify the phosphorus tailing and the agricultural waste, thereby developing the composite conditioner. The composite conditioner can effectively reduce the toxicity of heavy metals in soil, solves the problems of deterioration of physicochemical properties of soil in a metal mining area, poor soil structure and low soil biodiversity, and improves the survival rate of plants.

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.

The invention relates to the technical field of metal mine mining, in particular to an underground metal mine medium-length blast hole quality detection device and method, which comprises a fixed seat and electric sliding blocks symmetrically mounted on the fixed seat, the electric sliding blocks are rotatably connected with connecting rods, a vertical rod is rotatably connected between the tail ends of the connecting rods, and a detection head is mounted at the end part of the vertical rod. A vertical rod drives a detection head and a transverse plate to move downwards, the transverse plate drives a screw rod to rotate through a ball, the screw rod drives an annular brush to rotate through a straight gear and an outer gear ring, the annular brush rotates to remove impurities on the detection head, and then the detection head with the impurities removed detects the quality of a blast hole. And after the quality detection of the blast hole is completed, the detection head moves upwards to reset, and the annular brush rotates to remove the impurities on the detection head again, so that the impurities on the detection head can be automatically removed under the action of the annular brush to prevent the impurities from being attached to influence the detection, and the accuracy of the quality detection of the blast hole is improved.

The present invention relates to the field of support technology, and in particular to a support device and method for underground metal mining. The support device for underground metal mining includes two brackets, the top and bottom front sides of the two brackets that are close to each other are rotatably connected by a rotating shaft, the bottoms of the two brackets are rotatably connected to support plates, the sides of the two brackets that are away from each other are slidably connected to baffle 1, the tops of the two brackets are inclinedly provided with baffle 2, the upper parts of the two brackets are slidably connected to limit blocks, and baffle 1 and baffle 2 are respectively provided with trigger rod 1 and trigger rod 2. The present invention automatically monitors and warns of potential dangers in mine tunnels by integrating distance sensors and alarm lights. At the same time, trigger rod 1 and trigger rod 2 automatically respond to impacts, triggering the support plates to automatically rotate to form a stable triangular protective space. This process does not require human intervention, provides an effective and timely refuge passage for workers, and significantly improves the safety of metal mine operations.

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.

This invention relates to a stope boundary control device and method for underground metal mining, belonging to the field of mining technology. The device includes a focusing section and a focusing orientation section. The focusing section includes a slotted focusing device, an energy blocking device, and an irregularly shaped focusing device arranged from the outside in. The focusing orientation section includes an inter-tube focusing orientation device located on the outer surface of the focusing section's outer tube and an inlet focusing orientation device located at the top of the focusing section. The number of focusing sections is determined according to the borehole depth. When there are multiple focusing sections, they are coaxially connected by an I-shaped long tube connector. The device provided by this invention has a simple structure, is easy to load, and ensures that the focusing direction remains consistent with the ore body excavation boundary during the loading process; it has a strong focusing effect and can form larger penetration gaps. Simultaneously, the method provided by this invention has simple steps, is easy to operate, and helps reduce the workload of workers.

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.

1. The name of this design product: Hydraulic mining drill vehicle for mining. 2. Purpose of the product with this design: The product with this design is mainly used for hydraulic mining drilling construction in metal and non-metal mining operations in non-explosive gas environments. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The present application relates to the field of metal mining, in order to solve the problem that the current cannot obtain the rule of bulk movement through field test means, provide a mine rock bulk time-space migration evaluation system and method. The mine rock bulk time-space migration evaluation system comprises a mine rock bulk time-space migration model test frame, a bulk transport device, an image acquisition device and a processor; the processor is configured to receive the stress parameters and spatial displacement parameters of each mine rock bulk marker particle in different transport states in real time; based on the quality distribution of mine rock bulk with different particle sizes, the grading and dilution rate parameters of mine rock bulk at different excavation stages are obtained during the transport process of mine rock bulk; based on the overall change characteristics of mine rock bulk, the stress parameters and spatial displacement parameters of mine rock bulk marker particles and the grading and dilution rate parameters of bulk at different excavation stages, the time-space migration model of mine rock bulk is generated, the bulk migration and lumpiness data are provided for efficient transport of metal mine rock bulk, and the efficiency of mine rock bulk mining is improved.

The invention relates to the technical field of shoveling and transporting, and provides a shoveling and transporting device for underground metal mining, which comprises a bucket part and a vehicle body driving part, the bucket part comprises a bucket mechanism, a sealing cover mechanism, an adjusting mechanism and an adjustable shoveling tooth mechanism, and the vehicle body driving part comprises a driving mechanism, a connecting seat and a vehicle body. The right side of the bucket mechanism is rotationally connected with a sealing cover mechanism, an adjusting mechanism is fixedly installed in the bucket mechanism, and the lower side of the left end of the bucket mechanism is rotationally connected with an adjustable form relieved tooth mechanism. Through cooperation of the sealing cover mechanism, the adjusting mechanism and the adjustable shovel tooth mechanism, overloaded ore rock ballast in the bucket body can be easily pushed out of the bucket body through the sealing cover frame in the process of sealing the opening in the upper end of the bucket body, blind operation of pushing out redundant ore rock ballast is achieved, it is guaranteed that safety accidents caused by overload of the shoveling and transporting device are avoided, and the service life of the shoveling and transporting device is prolonged. And therefore, the safety of the shoveling and transporting device in transporting ore and rock ballast in a mine is realized.

The invention discloses a gravity data separation method, device and equipment for a metal mine area and a medium, and relates to the technical field of gravity anomaly data processing.The method comprises the steps that gravity data of each measurement point in a target area is obtained through measurement, and Bouguer gravity anomaly data of each measurement point in the target area is obtained through preprocessing; calculating a radial logarithmic power spectrum of the Bouguer gravity anomaly data, dividing the radial logarithmic power spectrum into a plurality of characteristic frequency bands, and respectively 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 an underground space density distribution result of the target area. According to the method, the inversion result approaches to the prior information in the constraint iteration process, and the gravity potential field inversion result, with the clear prior information, of the metal mine area is strictly constrained in the minimum interval with the known prior information, so that the accuracy of underground ore body position inversion is improved.

The invention discloses an intelligent micro-seismic monitoring device for underground metal mining, which comprises a seismic geophone, a main shaft and a splicing shaft, and is characterized in that the seismic geophone is the main body of the monitoring device, and the seismic geophone is composed of a shell, a displacement sensor and a threaded rod; a displacement sensor is integrated in a shell of the seismometer and used for monitoring vibration, and one end of the shell of the seismometer is fixedly connected with a threaded rod. The main shaft is a carrier for installing the geophone, and the main shaft is spliced with a groove at one end of the splicing shaft through a convex block at one end. The invention further discloses an intelligent micro-seismic monitoring method for underground metal mine mining. The seismometer is provided with the indicator lamp and the buzzer, when micro-seismic activity is detected, visual and auditory warnings can be given out in time, workers in an underground metal mine mining mine are reminded to pay attention to potential dangers and evacuate rapidly in time, and the safety of the working environment is improved.

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 present invention provides a device for treating groundwater pollution in metal mining areas by pumping, injection and filtration, and a sewage treatment method. The device for treating groundwater pollution in metal mining areas by pumping, injection and filtration comprises an extraction well, a reaction tank and an injection well, wherein the reaction tank is located between the extraction well and the injection well; an electrode is arranged in the extraction well, the electrode is connected to the positive electrode of the power supply, forming an anode; an electrode is arranged in the injection well, the electrode is connected to the negative electrode of the power supply, forming a cathode, and a bulk iron-loaded biochar is placed in the injection well. The present invention adopts a composite system of electrochemistry, microorganisms, and iron-rich biochar, and synergizes and enhances efficiency by extraction and sequential reaction, thereby greatly improving the treatment efficiency and treatment effect of contaminated groundwater. At the same time, the treatment device has a small footprint, low energy consumption, and stable treatment effect. The pollutant removal efficiency of the device is high, and the device is particularly suitable for the repair of contaminated groundwater in metal mining areas, and has good application prospects in the field of contaminated groundwater repair.

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.

The invention relates to the technical field of excavating devices, and discloses an excavating device for underground metal mining, which comprises an excavating device main body, a bucket assembly is arranged on the front side of a connecting rod mechanism of the excavating device main body, and two groups of adjusting assemblies are arranged on the bucket assembly. The bucket assembly comprises two sets of connecting plates movably connected to the excavating device body connecting mechanism, a bucket back plate is fixedly arranged at the lower ends of the connecting plates, four sets of bucket teeth are fixedly arranged on the lower side of the bucket back plate, and two sets of equipment bases are fixedly arranged at the positions, close to the connecting plates, of the upper end of the bucket back plate. And hydraulic cylinders are fixedly arranged on the upper sides of the two sets of equipment bases correspondingly. According to the excavating device for underground metal ore mining, through overall cooperative use, width adjustment is achieved, the bucket back plates on the two sides are in a sieve bag state, and metal ore in the bucket back plates is shaken.