18 results about "Automated mining" patented technology

The invention belongs to the technical field of underwater operation equipment, and particularly relates to an underwater unmanned aerial vehicle device for deep sea automatic mining and a using method thereof.The underwater unmanned aerial vehicle device comprises a guide pipe paddle body structure, a mineral exploration structure, a positioning navigation structure, a cutter suction pump body structure and a control module; the mineral exploration structure is provided with a mineral exploration end, the positioning navigation structure is provided with a mineral positioning end, the two ends of the cutter suction pump body structure are provided with a pump suction inlet end and a pump suction outlet end respectively, and the control input end of the control module is connected with the mineral exploration structure and the positioning navigation structure. The control output end is connected with the guide pipe paddle body structure, the ore breaking reamer structure and the cutter suction pump body structure. The problems that in the prior art, when a mining vehicle is used for deep-sea mine mining, adaptability is poor, maneuverability is low, pollution is large, and the automation degree is low, so that deep-sea mining difficulty is large, pollution is large, and cost is high are solved.

The application discloses an automatic mining method and device based on digital mine technology and a medium, and relates to the technical field of digital mine, which comprises the following steps: collecting ore body data and mining equipment operation data, correcting the time base, constructing a unified time axis, generating aligned data streams, and transmitting the data streams to an edge computing node through wireless communication; based on the edge computing node, the aligned data streams are adaptively cleaned and multi-scale fused to construct a state field covering the ore body; the state field is input into a pre-trained continuous time deep spatio-temporal prediction model to output a deformation field in a future period; based on an execution deviation sequence and a default degree sequence, an incremental learning sample is constructed on the edge computing node and fed back to a cloud platform to update the pre-trained continuous time deep spatio-temporal prediction model. The application significantly improves the state perception accuracy of multi-source ore body data and equipment operation data by constructing a continuous, stable and unified reference coordinate ore body state field.

The present invention discloses a method and system for automatically mining third-party component vulnerabilities in Internet of Things firmware based on Datalog, belonging to the field of Internet of Things security technology. The system includes: a firmware preprocessing module, which collects and preprocesses firmware and stores it in a firmware warehouse; a Datalog encoding module, which extracts files in the firmware and extracts string content, and re-encodes the decompiled results of the binary files using the Datalog encoding method; a third-party component identification and rule extraction module, which identifies third-party components in the firmware based on regular matching and edit distance, and obtains relevant third-party component usage rules; a vulnerability query module, which uses a Datalog query template filled based on the third-party component usage rules to perform logical queries on third-party component misuse vulnerabilities in the firmware. The present invention can quickly and accurately mine third-party component misuse vulnerabilities in Internet of Things firmware.

This invention provides an automatic mining device for coal mining, comprising a coal mining machine as the main body, a rotating drum at the front end of the coal mining machine, a coal conveyor belt inside the coal mining machine for conveying coal backward, and a top conveyor belt at the front end of the coal mining machine and behind the drum; an outwardly extending support frame at the front end of the coal mining machine, with a rotating shaft installed between the two support frames, and multiple cutting discs spaced apart in the middle of the rotating shaft; and a buffer plate on each side of the top conveyor belt above the coal mining machine. By setting up a top conveyor belt and cutting discs, this invention allows the coal mining machine to operate automatically under the drive of a conveyor motor during excavation, catching falling coal and conveying it above the coal conveyor belt. Unlike traditional coal mining machines that require backtracking to clear coal, this eliminates the need for such reversing operations, allowing the coal mining machine to continue advancing, greatly improving the efficiency of coal mining operations and ensuring the continuity of the mining process.

This invention relates to the field of image data processing technology, and more particularly to a recursive method and system for intelligent mining and integration of photo metadata. The method acquires a set of photos and deconstructs their original metadata and contextual information to construct a multi-dimensional feature space to map implicit relationships between photos. Implicit metadata is iteratively mined through recursive information propagation to form a multi-granularity knowledge graph. Furthermore, a cross-granularity consistency constraint system is established, conflicting metadata is integrated to generate globally consistent reconstructed metadata, and corrective information is fed back to the propagation stage to optimize subsequent mining. This invention achieves deep, automated mining and highly consistent integration of implicit metadata in photos, improving the accuracy and intelligence of metadata management.

The application provides a working face automatic mining device, relates to the field of coal mining, and comprises a vehicle body, the upper side of the vehicle body is provided with a mounting frame, a first guide groove is formed in the front side surface of the mounting frame, two mounting plates are slidably connected in the first guide groove, a crushing roller is arranged between the two mounting plates, a first fixing box is fixedly connected to the upper surface of the mounting frame, and a second fixing box is fixedly connected to the front side of the first fixing box. The first fixing box, the second fixing box, the reciprocating screw rod, the toothed plate, the gear and other structures are arranged, so that the device is prevented from being stuck due to the crushed slag during coal mining, the safety of the device is ensured, the transmission is improved in smoothness, the service life of the device is prolonged, and in addition, the cooperation of the first transmission assembly and the extension rod enables the atomizing nozzle to swing when the crushing roller rotates, so that an additional drive is not needed, and the number of driving sources is reduced.

The present invention discloses an automated mining filling system and a control method based on machine vision and the Internet of Things. The system includes a machine vision module, an Internet of Things monitoring module, a data fusion and analysis module, an autonomous optimization module, and a multi-level early warning and maintenance module. The data fusion and analysis module processes the recognition data, equipment operation parameters, and environmental parameters, generates a comparison report, and transmits it to the autonomous optimization module; the autonomous optimization module adjusts the working parameters of the mining equipment and the filling equipment based on the comparison report. The present invention performs fusion analysis on the information data obtained by the machine vision module and the Internet of Things monitoring module, then optimizes the control strategy, and adjusts the working parameters of each device, thereby reducing the dependence on manual experience, improving efficiency, and reducing resource waste and potential safety hazards.

The invention relates to the field of computer security, and provides a Java Spring SQL / SSRF vulnerability automatic mining method based on parameter flow simulation, comprising the following steps: S1, analyzing a class file compiled by a source project in a JAR packet to be mined, traversing the class file in the Jar packet, and extracting an input parameter of a Mapping method subordinate to a controller as a start point of taint analysis as a source of taint propagation; and vulnerability link detection is carried out based on a method set S-1, an SQL injection vulnerability taint function set S-2 and an SSRF taint function set S-3 which are propagated by a method parameter in a single step. The method aims at solving the problem that an existing static analysis tool is insufficient in accuracy and coverage rate in recognizing SQL / SSRF vulnerabilities in a Java Spring framework, and has the advantages of being efficient, accurate, high in coverage degree and the like.

The present invention discloses a method for automatically adjusting the straightness of a fully mechanized coal mining face, which relates to the technical field of automatic control of fully mechanized coal mining faces and includes: a platform step, a coal mining start step, a data collection and transmission step, a data processing and transmission step, a command transmission step, a command execution step, an execution end step, a first coal mining situation verification step, and a second coal mining situation verification step. The present invention realizes the straightening test of the scraper conveyor, provides technical support for the development of automatic mining technology, and provides a test method for the development of the straightening method for fully mechanized coal mining faces.

The invention discloses a guide beam device of a steeply inclined coal seam coal mining machine, and belongs to the technical field of coal mining. The device comprises a lower guide beam unit, a middle guide beam unit, an end short guide beam unit and an upper guide beam unit which are connected through shaft pins and deflection oil cylinders to form an integral structure. The lower guide beam unit is fixedly connected with a lower stepping mechanism in the haulage roadway, and the upper guide beam unit is fixedly connected with an upper stepping mechanism in the air return roadway. A guide beam supporting assembly composed of a supporting column, a supporting column telescopic oil cylinder and a supporting column swing oil cylinder is arranged on the middle guide beam unit, and a pin rail for the steeply inclined coal mining machine to walk is fixedly installed in the middle of each guide beam unit. The invention has the characteristics of high strength, high reliability, high adaptability and the like, can effectively solve the problem of operation stability of the coal mining machine for the steeply inclined coal seam, and provides reliable equipment guarantee for realizing mechanical and automatic mining of the steeply inclined coal seam.

This application relates to the field of intelligent mining technology and discloses a method for constructing a digital model of an automated mining face. The method includes: collecting the coordinates of roadway targets and the dip control points of the cutting face; selecting three points to construct a reference plane reflecting the strike and dip of the coal seam; calculating the normal offset of the dip control points relative to the reference plane, constructing an interpolation function and performing spatial mapping to generate a coal seam floor surface; recursively generating multi-segment surfaces along the advancing direction and constructing a three-dimensional solid model in conjunction with the coal thickness; during the mining process, calculating the error between the measured data and the model, decomposing the error into trend and fluctuation terms, and introducing spatial attenuation weights to dynamically correct unmined areas. This invention, by combining a reference plane and offset mapping, takes into account both macroscopic occurrence and local undulation characteristics, and achieves closed-loop updating of the model through error decomposition, thereby improving the accuracy and environmental adaptability of the geological model.

The digital automatic mining beneficiation equipment comprises a shell, the shell is connected with a box body, a screen frame used for primarily screening mineral aggregates is movably arranged in the shell, and a screen mesh used for secondarily screening the mineral aggregates is further arranged in the shell; a sliding block used for driving the screen frame to execute the material screening action is movably arranged on the shell, and the sliding block is driven by a material screening driving assembly and does reciprocating motion on a straight line. An overturning assembly corresponding to the screen frame is arranged in the shell, and a spraying assembly is further arranged on the shell. According to the mineral aggregate screening device, the screening frame is arranged to screen mineral aggregates, screening treatment of the frame materials is achieved under driving of the screening driving assembly, the screened mineral aggregates are independently collected and used, and the residual mineral aggregates are treated through cleaning and recycling. Through the scheme disclosed by the invention, the automation degree and the screening efficiency of mineral aggregate screening can be greatly improved, so that the convenience and the reliability of mineral separation operation are improved.

The present invention belongs to the technical field of underwater operation equipment, specifically an underwater drone device for deep-sea automated mining and a method of using the device, comprising a ducting propeller structure, a mineral exploration structure, a positioning and navigation structure, a cutter suction pump structure, and a control module. The ducting propeller structure can form reverse thrust in different directions, the mineral exploration structure has a mineral exploration end, the positioning and navigation structure has a mineral positioning end, and the two ends of the cutter suction pump structure respectively have a pump suction inlet end and a pump suction outlet end. The control module has a control input end connected to the mineral exploration structure and the positioning and navigation structure, and a control output end respectively connected to the ducting propeller structure, the ore-breaking reamer structure, and the cutter suction pump structure. The present invention solves the problems of the prior art in deep-sea mining caused by poor adaptability, low maneuverability, high pollution, and low degree of automation when using mining vehicles for deep-sea mining, resulting in high difficulty, high pollution, and high cost.

The invention relates to the technical field of data mining of financial and medical scenes, and discloses a potential customer analysis mining method and device, computer equipment and a storage medium. Generating an initial potential score and reason description by utilizing the internal reasoning ability of the large language model; and then, sample data reflecting human preferences are constructed in combination with historical potential tags, and parameter adjustment is performed on the large language model by adopting a direct preference optimization algorithm, so that the large language model better fits judgment logic for high-potential customers in actual services on the basis of reserving general knowledge. And finally, scoring and attributing the target customer by using the optimized large language model, and supporting a precise marketing decision. According to the embodiment of the invention, the strong reasoning ability of the large language model is combined with a preference learning mechanism, and the end-to-end automatic mining process from data to strategy is realized.

The utility model discloses an automatic mining flotation machine, and particularly relates to the technical field of mining flotation, the automatic mining flotation machine comprises a supporting bottom frame, and an automatic mining flotation auxiliary device is arranged at the upper end of the supporting bottom frame; the automatic mining flotation auxiliary device comprises a stirring and mixing assembly and a flotation pushing assembly, and the lower end of the stirring and mixing assembly is installed at the upper end of a supporting bottom frame. Compared with the prior art, according to the automatic mining flotation machine, after the pushing plates move forwards, the inner sides of the two sets of pushing plates are in butt joint, after the two sets of pushing plates are in butt joint, mineral floating foam formed at the upper end is separated from liquid at the lower end, and after floating foam separation, extraction work can be conducted through the extraction assembly arranged in the upper end of the separation bin; according to the device, liquid and floating foam are separated and cut off through simple pushing separation work, it is avoided that internal liquid is excessively extracted when the device conducts extraction work, the problems that mineral floating foam is difficult to extract and not uniform to collect are greatly reduced, and the practicability and use convenience of the whole device are further improved.

The utility model relates to the technical field of coal mine drilling machines, and discloses a drill rod conveying device with a middle longitudinal opening, which comprises a drill rod box and a transfer mechanism, a drill rod in the drill rod box is perpendicular to a rack, the transfer mechanism comprises a first moving unit, and the first moving unit is arranged on one side, close to the rack, of the drill rod box. The first moving unit is arranged in the drill rod box and can slide in the axial direction perpendicular to the drill rod in the drill rod box, a lifting unit is installed on the first moving unit, a second moving unit is installed at the top of the lifting unit and can be driven by the lifting unit to ascend and descend, and the second moving unit can move in the axial direction of the drill rod in the drill rod box. The second moving unit is provided with a telescopic grabbing unit used for grabbing the drill rod. According to the technical scheme, the defects that in the prior art, under the large negative dip angle working condition, conveying is difficult, and the function is single are overcome, efficient, stable and convenient conveying of the coal mine underground drill rod is achieved, the increasing coal mining technology requirement is met, and the coal mine automatic mining process is promoted.

This invention addresses the problems of excessive error accumulation and equipment interference / abnormal mechanical states in automated mining systems under complex geological conditions after multiple cycles. It discloses an intelligent decision-making and control method and system for fully mechanized mining equipment in complex working faces, comprising a full-position measurement system for the fully mechanized mining equipment, a mine pressure monitoring system, a virtual simulation system, an analysis and decision-making system, and a distributed control system. The system comprehensively measures 15 spatial parameters and mine pressure data of the equipment's real-time operating status. By overlaying data to simulate the actual mining process, it calculates equipment anomalies caused by complex geological conditions and predicts the surrounding rock condition. It proposes error elimination and surrounding rock control methods based on known technological methods and historical data learning results, and predicts subsequent mining control parameters. Based on real data and virtual simulation results, it optimizes and makes decisions on the control parameters of the underground fully mechanized mining equipment, thereby ensuring that the equipment control under complex geological conditions matches the actual environmental conditions and significantly improving the operational quality of the fully mechanized mining equipment.

The utility model discloses a digital automatic mining device which comprises a plurality of retainers, lifting mechanisms are arranged on one sides of the retainers, adjusting mechanisms are arranged on one sides of the lifting mechanisms, drilling mechanisms are arranged among the adjusting mechanisms, and a digital receiving mechanism is arranged above the right side of the retainer on the right side. A monitoring mechanism is arranged above the left side of the retainer located on the left side, the adjusting mechanism comprises a mounting box, an adjustable-speed motor and a motor shaft, the mounting box is arranged on one side of the lifting block, the adjustable-speed motor is arranged in the mounting box, one side of the adjustable-speed motor is connected with the motor shaft, and the motor shaft is connected with the motor shaft. According to the drilling equipment, the lifting mechanism, the adjusting mechanism, the drilling mechanism, the digital structure mechanism, the monitoring mechanism and other structures are arranged to be matched in an assisting mode, the flexibility of the drilling equipment is improved through the structure matched and adjusted through digital automatic control, the height and angle of the drilling structure can be adjusted, and the drilling efficiency is improved.