116results about "Testing machines" patented technology

The invention belongs to the technical field of lithology identification, and discloses a coal cutter self-adaptive regulation and control method for coal rock identification based on cutting pick stress monitoring, so as to realize accurate and efficient identification of coal rock and self-adaptive regulation and control of a coal cutter based on cutting pick stress data and in combination with operation parameters of the coal cutter. According to the coal mining machine self-adaptive regulation and control method based on cutting pick stress monitoring and coal rock recognition, the pressure sensors arranged at the roots of all the cutting picks are used for obtaining cutting pick stress original data in real time, the coal rock interface is accurately and efficiently recognized by combining the operation parameters of the coal mining machine and utilizing a data processing and analysis algorithm, and the coal mining machine self-adaptive regulation and control method is high in practicability. And the cutting parameters of the coal mining machine are dynamically adjusted, so that safe, efficient and high-precision coal rock identification and self-adaptive regulation and control of the coal mining machine are realized, the intelligentization of coal mining operation is improved, the coal mining efficiency is improved, the abrasion of equipment is reduced, and the safety and stability of the mining operation are guaranteed.

A device for detecting a composite rock stratum structure while drilling, and an intelligent identification method. The device comprises an apparatus base (8), wherein a vertically arranged supporting rod is fixedly connected to the middle portion of the apparatus base (8), a drilling hydraulic oil cylinder (4) is fixedly connected on one side of the bottom of the supporting rod, and a piston end of the drilling hydraulic oil cylinder (4) is fixedly connected to an adaptive while-drilling data acquisition module (5) and is in sliding connection with the supporting rod; a sample table (1) is arranged above the adaptive while-drilling data acquisition module (5) and is fixedly connected to the supporting rod, and a top limiting system (3) is fixedly connected to the top end of the supporting rod; and a rock gripper (2) is arranged between the sample table (1) and the top limiting system (3), and the adaptive while-drilling data acquisition module (5), a data acquisition device (9) and a data analysis terminal (10) are all electrically connected to each other. A real mechanical environment of a coal mine site is reproduced, multiple parameters are acquired by means of the adaptive while-drilling data acquisition module (5), and the property parameters of a composite rock stratum are represented by using a machine learning method, so as to achieve the intelligent identification of rock lithology, such that support can be provided for intelligent control of surrounding rock of a coal mine roadway.

The invention belongs to the technical field of intelligent detection, and particularly discloses an underground engineering intelligent anchor detection system and method.The system comprises a movable chassis, an automatic continuous drilling subsystem arranged on the movable chassis, an automatic monitoring subsystem and a data analysis subsystem, and the automatic monitoring subsystem and the data analysis subsystem are arranged on the automatic continuous drilling subsystem; the automatic continuous drilling subsystem comprises a mechanical large arm connected with the movable chassis, a rotating platform connected to the tail end of the mechanical large arm, and a drilling unit connected with the rotating platform; the automatic monitoring subsystem is used for monitoring while-drilling parameters in the drilling process in real time and transmitting the while-drilling parameters to the data analysis subsystem. The data analysis subsystem inverts rock mass strength parameters and rock mass structural plane characteristics in real time based on a rock mass strength inversion model and a structural plane inversion model, and quantitative evaluation of surrounding rock in the drilling process is achieved, so that a surrounding rock broken area is anchored in time. According to the invention, in-situ detection of deep underground engineering, especially deep mines, can be realized.

The invention discloses a relay bin device capable of intelligently detecting and adjusting the mineral height and a deep-sea mining system.The relay bin device comprises a relay bin, a height adjusting unit, a detecting unit and a self-cleaning unit, the height adjusting unit comprises a shell assembly, an air bag assembly and a piston assembly, the shell assembly is arranged in the relay bin, and the air bag assembly is arranged in the relay bin; the air bag assembly is arranged in the shell assembly, a high-pressure air chamber is formed in the air bag assembly, the movable end of the piston assembly extends into the high-pressure air chamber and is in sealed sliding connection with the high-pressure air chamber, and the movable end of the piston assembly can move up and down in the axial direction of the relay bin by inflating and deflating the high-pressure air chamber so as to adjust the height of mineral particles; the detection unit comprises a high-pressure waterproof radar and a high-pressure waterproof ultrasonic sensor, and the high-pressure waterproof radar and the high-pressure waterproof ultrasonic sensor are arranged on the two sides of a discharging port of the relay bin respectively; the cleaning end of the self-cleaning unit faces the high-pressure waterproof ultrasonic sensor and is used for cleaning the high-pressure waterproof ultrasonic sensor regularly.

The invention discloses a fully-mechanized face mining method based on mining and exploring at the same time. The method is implemented according to the following steps that a data monitoring substation is arranged, and stress and micro-seismic data are received from an underground stress monitoring system; current stope stress and roof and floor conditions are obtained through stress and micro-seismic data, and a working face is guided to advance; the method comprises the following steps: establishing a transparent geologic model by using coal seam geologic information and three-dimensional space information of a working face, fusing spatial position information and working state information of fully-mechanized coal mining equipment into the transparent geologic model to obtain a mining data model, and controlling a coal mining machine by combining inertial navigation and a coal mining machine cutting curve correction model; and along with advancing of the working face, new geological information is obtained, the steps 1-3 are repeated, and the mining data model is dynamically updated. By means of the real-time dynamic monitoring and exploring while mining technology, geological exploration, data analysis and inertial navigation are integrated, sub-meter advanced high-precision exploration, geological model dynamic updating and self-adaptive planning mining are achieved, geological prediction accuracy is improved, and real-time geological navigation and stable guarantee are provided.

The invention relates to the field of mechanical coal mining, and discloses an intelligent efficient comprehensive mechanical coal mining system and method.The method comprises the steps that the crack distribution condition of a coal mine collection area is recognized, the hidden fault position and the stress abnormal degree of the coal mine collection area are analyzed, and a three-dimensional risk distribution diagram of the coal mine collection area is constructed; performing collection path planning on a coal face corresponding to the coal mine collection area to obtain a collection path, identifying spatial constraint features of the coal mine collection area, and constructing a mining optimization instruction of the coal mine collection area; acquiring acquisition data generated during coal mine acquisition, identifying mining mechanical characteristics of acquisition equipment, analyzing a damage change rule of a coal mine acquisition area, and calculating energy transfer efficiency of the acquisition equipment; and performing coal mine acquisition process optimization on the acquisition equipment to obtain a coal mine acquisition optimization process, and performing coal mine acquisition on the coal mine acquisition area. According to the invention, the energy consumption of intelligent efficient comprehensive mechanized coal mining can be reduced.

The invention discloses a coal cutter self-adaptive height adjustment system and method based on coal rock interface fine identification, and the system comprises a coal seam thickness detection module, a cutting state detection module and a coal cutter height adjustment control module. The coal seam thickness detection module obtains a single-tool coal-rock interface under a mine absolute coordinate system according to the electromagnetic wave signal reflected by the coal-rock interface, the tilt angle data of each hydraulic support and the pushing slip amount, and stores the single-tool coal-rock interface to a historical-tool coal-rock interface database; the cutting state detection module collects cutting sound wave signals, discriminates the real-time cutting state of the roller of the coal mining machine according to the cutting sound wave signals and a historical cutting number coal rock interface, and carries out refined identification and local correction on the coal rock interface; and the coal cutter height adjustment control module predicts a current cutter number coal rock interface based on historical cutter number coal rock interface information, plans a target cutting path of a coal cutter roller, and performs coal cutter height adjustment control. The method has the characteristics of high coal mining rate, good economical efficiency, high precision and reliable system.

A method of analysing ore, wherein the method includes, during excavation, scanning / sensing ore, by using a sensor. The sensor is located at a position which is (i) spaced from a bucket / shovel of an excavator and (ii) operatively higher relative to the bucket / shovel. The sensor is also directed towards the bucket / shovel, so that the sensor can scan / sense operatively downwardly towards / into the bucket / shovel. The sensor may be secured to, or mounted on, an excavator at a position which is spaced from a bucket / shovel of the excavator.

The invention discloses an ore sample collection device and method for prospecting, and belongs to the technical field of ore sample collection. The device comprises a crawler belt moving platform, an intelligent control system, a mechanical arm system, a sample storage unit and a sensor module; the intelligent control system comprises a vehicle-mounted controller and a control terminal; the vehicle-mounted controller is connected with the crawler moving platform, the mechanical arm system, the sample storage unit and the sensor module; the control terminal is wirelessly connected with the vehicle-mounted controller; the mechanical arm system comprises a mechanical arm, a multifunctional collecting head is arranged on the mechanical arm, and the multifunctional collecting head comprises a drilling head, a cutting head and a grabbing head; the sample storage unit comprises a storage box; the sensor module comprises a geological radar, a temperature and humidity sensor, a pressure sensor and a spectrum analyzer. The device is specially designed for prospecting ore sample collection, ore sample collection equipment is intelligently designed according to the scheme, prospecting ore sample collection is conducted through the remote control technology, adaptability is high, efficiency is high, and the manual labor amount is small.

The invention discloses a coal-bearing target stratum lithology and macroscopic coal rock type identification method based on element logging, and relates to the technical field of unconventional natural gas exploration and development, and the method comprises the following steps: s1, constructing a coal rock boundary, and dividing a coal rock and a non-coal rock; s2, calculating the content of each component in the coal rock and the non-coal rock; and s3, constructing a non-coal rock lithology identification method and a macroscopic coal rock type identification method in the coal rock. According to the method, division of the coal rock and the non-coal rock can be realized only based on element logging data and a small amount of experimental data, calculation of the content of each component in the rock of the coal-containing target layer is realized, and efficient and accurate identification of the lithology of the non-coal rock and the macroscopic coal rock type can be completed by further innovatively combining with the sulfur element; important technical reference can be provided for geological evaluation and target layer selection of a coal-bearing target layer.

The invention provides an efficient underground accurate delineation method for a steep dip thin and fine quartz vein type ore body, and belongs to the technical field of mine underground prospecting, and the scheme comprises the following steps: firstly, utilizing capital construction engineering and development engineering, preliminarily exposing the ore body, constructing a database in three-dimensional mining software, delineating the ore body at a time, and establishing an ore body three-dimensional model; different laser reflection spectral characteristics of targets with different colors are utilized, three-dimensional laser is used for scanning an ore body form and a roadway form, and an ore body model is updated by combining digital geological recording, mechanical sampling and secondary ore body delineating. Three-dimensional laser scanning, digital geological logging and mechanical sampling are fused, on the premise that expenditure and time are limited, the safety of underground operation and digitization of prospecting engineering achievements are improved, the ore body form and the spatial position are mastered more accurately, mining design is guided and optimized, precise implementation of mining is guaranteed, the mining engineering amount is reduced, digital energy saving is achieved, and the working efficiency is improved. The method belongs to a key technical new method for green low-carbon transformation industry development.

The present invention provides a mounting device and method of a tandem-type rock mass three-dimensional disturbance stress sensor, and the device is formed by sequentially connecting a head end unit, a plurality of repetitive units, and a tail end unit. This invention enables the accurate installation of multiple three-dimensional disturbance stress sensors within a single borehole without requiring full-hole grouting. As a result, the sensors can be mounted in a multi-point distributed arrangement within the same borehole. Adhesive fluid in a top adhesive cartridge is triggered through a head end triggering mechanism to bond a three-dimensional disturbance stress sensor in a first repetitive unit, and adhesive fluid in a corresponding first adhesive cartridge is triggered by using the first triggering mechanism to bond a three-dimensional disturbance stress sensor in a next repetitive unit, to ensure good coupling between the three-dimensional disturbance stress sensor and a rock mass.

The invention relates to the technical field of civil engineering, in particular to a red sandstone multi-bench combined mechanical cold excavation construction method which comprises the following steps: S1, generating a rock mass model by adopting three-dimensional laser scanning and AI geological analysis, and dynamically optimizing mechanical configuration and excavation parameters by combining a BIM numerical simulation rehearsal bench scheme; accurate rehearsal and parameter optimization of a stair flight scheme are achieved through three-dimensional laser scanning, AI geological analysis and BIM numerical simulation, a scientific basis is provided for construction, dynamic adaptation and process correction of excavation operation are achieved with the help of rock mass hardness sensing, intelligent parameter matching and particle size recognition technologies, the construction efficiency and the crushing quality are improved, and the construction cost is reduced. Real-time monitoring, trend prediction and grading response of slope stability are achieved through a multi-source sensing network, a digital twin model and edge calculation, construction safety is guaranteed, and the intelligent level, operation efficiency and safety controllability of red sandstone multi-bench mechanical cold excavation are remarkably improved.

The invention relates to a method (50) comprising the steps of: - using a sensor to acquire (110) an image of the sample composed of grains; - applying (120), to the image (1), a convolutional neural network in order to obtain a contour map (C) associating, with each pixel of the image, a value equal to one unit when that pixel belongs to a contour of a grain and otherwise equal to zero; - applying (130), to the contour map (C), a segmentation algorithm in order to obtain a segmented image (S) comprising a plurality of regions, one region being separated from a neighbouring region by a contour having a thickness of a single pixel; and - applying (140), to the segmented image (S), one or more geometric processing operations in order to calculate physical quantities for each grain so as to characterise the lithology of the sample (3).

A coal mine heading face transient electromagnetic advanced detection system provided by the present invention comprises a detection device, the detection device comprises a mounting box, an upper cover, a transmit-receive mechanism and a transient electromagnetic instrument, the transmit-receive mechanism and the transient electromagnetic instrument are arranged on the inner side of the mounting box, the transmit-receive mechanism comprises a folding frame and a transmit-receive coil, and the folding frame comprises a first rotating rod, a movable rod and a U-shaped frame. The movable rods are symmetrically and fixedly mounted at the two ends of a first rotating rod, and the first rotating rod is rotationally mounted in one end of the mounting box. The receiving and transmitting coil can be unfolded through rotation adjustment of the U-shaped frame and the screw tube, the angle of the receiving and transmitting mechanism can be rotationally adjusted through the adjusting mechanism, advanced detection of a coal mine tunneling face at multiple angles is facilitated, operation by a single person is facilitated, time and labor are saved, and through cooperation of the linkage mechanism and the adjusting mechanism, the working efficiency is improved. The transient electromagnetic instrument and the receiving and transmitting coil can be conveniently stored in the mounting box, and the transient electromagnetic instrument and the receiving and transmitting coil can be carried in a storage box.

The invention discloses a mineral hardness detection device and a detection method thereof, a coal mining machine and a mineral classification method, which can make a mineral sample into a detection sample, and obtain a mineral firmness coefficient by detecting the ultimate pressure of the detection sample, thereby realizing accurate and automatic detection of mineral hardness. The mineral hardness detection device comprises a moving trolley, a sample preparation assembly, a detection assembly and a control and calculation assembly. The sample preparation assembly comprises a hollow drill (19), a drilling machine driver (16), a lifting mechanism and a fixing mechanism. The detection assembly is used for extruding the detection sample to detect the pressure on the detection sample and transmitting the pressure on the detection sample to the control and calculation assembly. And the control and calculation assembly is electrically connected with the detection assembly and is used for obtaining the ultimate pressure of the detection sample according to the pressure of the detection sample, calculating the uniaxial compressive strength of the detection sample and converting the uniaxial compressive strength into a mineral firmness coefficient for display.

The present invention relates to an integrated raise caving mining method for mining deposits in rock mass comprising: developing at least one raise in the rock mass, developing a drawbell in the rock mass, wherein at least a portion of the drawbell is excavated from the at least one raise, initiating caving through undercutting, wherein at least a part of an undercut is created by gradually expanding the drawbell in upwards direction by excavation, developing at least two drawpoints into the drawbell, wherein the drawpoints are developed from drifts arranged on different levels and progressively drawing fragmented rock from the at least one drawbell through the drawpoints. The present invention also relates to use of an integrated raise caving mining method for mining deposits. The present invention also relates to an integrated raise caving mining infrastructure, a machinery, a control system of an integrated raise caving mining infrastructure, and a data medium.

The present invention relates to a cuttings collector for obtaining drill cuttings from subterranean wellbores, at least comprising: a) a cuttings collector stem provided with a double helix cutter acting as a conveyor screw having two transport paths, b) an external wall surrounding one of the two transport paths and a lower wall closing said one transport path at the lower end thereof, c) the cuttings collector stem, at the upper end thereof, being provided with a top sleeve having an opening and closing arrangement so that cuttings that are collected can be guided into a desired transport path.

The invention relates to a coal rock recognition system based on dust sampling, a coal mining machine and a method, the coal rock recognition system comprises a sampling pipe, a negative pressure module, a separating and drying module, a material bin, a detection pipe, a pump unit and an LIBS detection device, the negative pressure module is used for providing negative pressure for the sampling pipe to suck dust; the separating and drying module is used for carrying out gas-solid separation and drying treatment on the dust; the material bin is used for receiving the dried dust particles; the detection pipe is communicated with the material bin; the pump unit is used for mixing dust particles in the material bin with airflow to form gas-solid two-phase flow; and the LIBS detection device is used for detecting dust particles in the gas-solid two-phase flow. The dust near the cutter head of the coal mining machine is directly sampled, and the dust is subjected to gas-solid separation and drying treatment, so that laser can be prevented from directly acting on the gas-containing dust, the detection safety is ensured, dust particles are not interfered by water mist and gas during detection, and the detection accuracy is improved. And the dust amount required by LIBS detection can be stably supplied.

The present disclosure provides a method and device for monitoring generation of coal mine vibration and its response to vibration wave, the device comprises a frame, a vibration triggering device, an surface building model, an surface monitoring system, and an underground monitoring system. The present disclosure can simulate the mechanical process and phenomenon of high-energy and strong vibrations triggered by the fracture of the high-level thick-hard rock layers.

The invention relates to a cuttings collector for obtaining cuttings from a subterranean wellbore, comprising at least: a) a cuttings collector rod provided with a double helix tool serving as a transfer screw having two conveying paths, b) an outer wall surrounding one of the two conveying paths, and a lower wall surrounding the other of the two conveying paths, c) the upper end of the drill cuttings collector rod is provided with a top sleeve having an opening and closing arrangement such that the collected drill cuttings can be directed into the desired conveying path.

A process for improved blast design including the steps of: acquiring geological data about a blast site from multiple data sources; extracting one or more blastability labels from the geological data; mapping the blastability labels in two or three dimensions; designing a pattern of blast holes based on the mapping; designing explosive for each blast hole based on the blastability label for that blast hole; loading each blast hole in the pattern of blast holes with the designed explosive for that blast hole; and detonating the explosive. Also, a method of extracting valuable resources from an area using the process and a visualisation tool for blasting operations that displays data from the process.

The invention relates to a method for determining at least one geotechnical parameter of an excavated material from a tunnel-boring machine, wherein: the excavated material is fed onto a conveyor device (2) for transporting the excavated material; an impact body (5) is arranged in a conveyor flow (3) of the excavated material so that it is at least partly immersed in the excavated material; the excavated material in the conveyor flow (3) has a flow speed which is either predetermined or measured; a measured variable corresponding to a force exerted by the excavated material of the conveyor flow (3) on the impact body (5) is measured; a time sequence of measured values ​​of the measured variable is recorded and the at least one geotechnical parameter is determined from a portion of the sequence of measured values ​​by inputting the portion of the time sequence of measured values ​​into a data processing apparatus and processing it using this apparatus such that at least one output value corresponding to the at least one geotechnical parameter is output; and the processing of the measured values ​​is based either on the predetermined flow speed or a value for the measured flow speed is input and taken into account when the measured values are processed.

The invention relates to the technical field of hydraulic directional drilling machines, in particular to a stable-transmission hydraulic directional drilling machine for a coal mine, which comprises a drill bit and further comprises a crawler-type power source and a hydraulic directional drilling machine, and the drilling power source comprises a push rod used for pushing the drill rod to advance. Through a coal seam hardness detection mechanism, when a coal seam becomes soft, a permanent magnet plate drives a conducting strip to slide through the change of the overflow hydraulic oil amount of a hydraulic motor, the resistance of a slide rheostat is changed, a PLC detects current to judge the coal seam softening degree, and then the power of a first hydraulic pump and the power of a second hydraulic pump are adjusted to change the propelling and rotating speed; when the coal seam hardens, high-pressure hydraulic oil pushes the piston head to squeeze redundant hydraulic oil into the detection box, the moving distance of the squeezing plate is detected through the infrared distance meter, the PLC calculates and judges the coal seam hardening degree, the power of the hydraulic pump is adjusted to achieve parameter adjustment, and then real-time change can be achieved according to the coal seam hardness.

Mining shovel with compositional multispectral and / or hyperspectral imaging and associated methods and systems are disclosed herein. In some embodiments, a mining detection system includes a mining bucket carrying a multispectral and / or hyperspectral imaging system and various sensors directed toward material entering and positioned within the bucket. The bucket can also carry a control enclosure housing image and sensor processing equipment that receives and analyzes the data collected by the multispectral and / or hyperspectral imaging system and the sensors. The disclosed systems and methods can provide real-time compositional analysis of mined materials at the mining site, which can be used to manage a mining field, including generating and transmitting instructions for where the material within the bucket should be delivered based on the data collected from the multispectral and / or hyperspectral imaging system and the sensors.

The invention discloses a shale bedding development degree quantitative characterization method which specifically comprises the following steps: step 1, acquiring a full-diameter shale core, and determining a bedding surface of the full-diameter shale core; step 2, processing the full-diameter shale core to obtain a plunger rock sample or a square rock sample, and marking a bedding direction for the plunger rock sample or the square rock sample; step 3, drying the plunger rock sample or the square rock sample; 4, measuring the size and weight of the plunger rock sample or the square rock sample, and measuring the longitudinal wave propagation time of sound waves in the plunger rock sample or the square rock sample through sound wave measuring equipment to obtain the longitudinal wave speed; and step 5, acquiring the development index of the rock core bedding based on the longitudinal wave velocity. The method can be widely applied to characterization of the rock bedding development degrees under different scales, and the judgment efficiency of the rock bedding development degrees is improved.

The present invention relates to an integrated raise caving mining method for mining deposits in rock mass comprising: developing at least one raise (102,102a-f,202,302a-g,402a-e) in the rock mass (10), developing a drawbell (100,100a-c, 200a-g,300a-f,400a-e) in the rock mass (10), wherein at least a portion of the drawbell is excavated from the at least one raise (102,102a-f,202,302a-g,402a-e), initiating caving through undercutting, wherein at least a part of an undercut is created by gradually expanding the drawbell (100,100a-c, 200a-g,300a-f,400a-e) in upwards direction by excavation, developing at least two drawpoints (106,206,406) into the drawbell (100,100a-c, 200a-g,300a-f,400a-e), wherein the drawpoints (106) are developed from drifts (115,207,407) arranged on different levels and progressively drawing fragmented rock (101) from the at least one drawbell through the drawpoints (106,206,406). The present invention also relates to use of an integrated raise caving mining method for mining deposits. The present invention also relates to an integrated raise caving mining infrastructure, a machinery, a control system of an integrated raise caving mining infrastructure, and a data medium.

The system and method comprise an automated data platform for reconciliation. The method comprises associating shovel load locations with a forecast model block and a district model block; selecting a plurality of shovel loads that are associated with the forecast model block and the district model block, based on the shovel load locations; matching the plurality of shovel loads with the truck load; aggregating the plurality of shovel loads into the truck load; comparing forecast model block characteristics of the forecast model block and district model block characteristics of the district model block with target block characteristics of a target block; and creating a reconciliation report of the target block characteristics of the target block based on the forecast model block characteristics and the district model block characteristics.

The present invention relates to a cuttings collector for obtaining drill cuttings from subterranean wellbores, at least comprising: a) a cuttings collector stem provided with a double helix cutter acting as a conveyor screw having two transport paths, b) an external wall surrounding one of the two transport paths and a lower wall closing said one transport path at the lower end thereof, c) the cuttings collector stem, at the upper end thereof, being provided with a top sleeve having an opening and closing arrangement so that cuttings that are collected can be guided into a desired transport path.

The invention discloses a visual follow-up exploration evaluation method and system for an underground coal mine heading machine, and the method comprises the following steps: S1, carrying out the positioning exploration through an input exploration horizontal coordinate and an input exploration vertical coordinate by using an exploration drilling machine while the heading machine carries out the heading; the surveying drilling machine information collector records surveying information including the surveying coal seam depth, surveying coordinates and the surveying advancing speed; recording the surveyed coal gangue image by using an image capturing camera to obtain a coal gangue image; and S3, evaluating the proportion of the coal gangue in the coal gangue image by using a coal gangue evaluation model, and classifying the coal gangue range according to the proportion of the coal gangue. According to the invention, the tunneling efficiency of the underground coal mine tunneling machine can be greatly improved, the gangue classification efficiency is improved, the intelligent level of underground operation is improved, and the safety degree of tunneling operation is increased.