8 results about "Automated mining" patented technology

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.

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.

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 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.

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.