71results about How to "Full access" patented technology

The invention relates to the technical field of mine potential safety hazard identification, in particular to a mine potential safety hazard identification method and system based on an unmanned aerial vehicle. The method comprises the following steps: acquiring a global image of a mining area by using an unmanned aerial vehicle camera, and constructing a three-dimensional model; thirdly, performing rock-soil landslide probability estimation through weathering erosion mechanism reduction in combination with the three-dimensional model and the global image, and calculating landslide coercing force potential energy increment; then, according to the landslide probability and the coercing force incremental data, carrying out risk grade endowing on the local area of the mining area; and finally, constructing a mine potential safety hazard identification optimization model based on the risk level, and sending the model to a terminal for potential hazard identification. According to the invention, the mine potential safety hazard identification technology is optimized, so that the mine potential safety hazard identification technology is more perfect.

The invention discloses a dynamic water affair monitoring system and method based on digital twinning, and belongs to the technical field of water affair monitoring. The method comprises the following steps: acquiring equipment working environment data, performance data of each piece of monitoring equipment and water affair data, wherein the water affair data comprises hydrological data and water quality data; performing comprehensive analysis according to the equipment working environment data to obtain an equipment working environment evaluation value, performing comprehensive analysis according to the performance data of each piece of monitoring equipment to obtain a performance evaluation value of each piece of monitoring equipment, and performing comprehensive analysis according to the equipment working environment evaluation value and the performance evaluation value of each piece of monitoring equipment to obtain a state evaluation value of each piece of monitoring equipment; performing evaluation feedback according to the state evaluation value of each monitoring device; performing comprehensive analysis according to the water quality data to obtain a water quality evaluation value, finally performing comprehensive analysis according to the water quality evaluation value, the equipment working environment evaluation value and the hydrological data to obtain a water affair state evaluation value, and performing evaluation feedback according to the water affair state evaluation value.

The invention discloses an energy-saving air conditioning system and a control method of the energy-saving air conditioning system, and relates to the field of energy-saving air conditioning systems.The energy-saving air conditioning system comprises an outdoor unit shell, a compressor, a condenser, a cooling fan and a drying filter are arranged in the outdoor unit shell, the compressor compresses a refrigerant into a high-temperature and high-pressure gas state, then the refrigerant is fed into the condenser, the cooling fan is started, and the drying filter is started; the condenser is condensed, the refrigerant becomes liquid after being cooled, and the liquid refrigerant is conveyed to the drying filter through a pipeline; in the refrigeration mode, when the temperature monitored by one temperature sensor correspondingly arranged on the outdoor unit shell is lower than the temperature monitored by other temperature sensors, the information is fed back to the controller, the controller controls the driving mechanism to drive the air inlet end to move to the position corresponding to the temperature sensor, and at the moment, the air inlet end is driven by the driving mechanism to move to the position corresponding to the temperature sensor. The air supplied to the cooling fan is low-temperature air near the outdoor unit shell, so that the condensation efficiency of the condenser is improved, and the operation energy consumption of the air conditioning system is reduced.

The invention discloses a method and a device for rapidly and intelligently testing the water absorption rate of concrete. The device is mainly composed of a display screen, a test grid, a test box cover plate, a test box, a stainless steel mesh, a temperature sensor, an infrared distance measuring sensor, a pressurizing hole, a water injection hole, a temperature control device, a pressurizing device, a computer host and a water storage device. And the water absorption rate of the concrete can be tested under the pressure of 0-2MPa and the water temperature of 0-80 DEG C. The test piece can be a cube with the size of 100 mm * 100 mm * 100 mm or a cylinder with the size of phi 100 mm * 100 mm. The device has the characteristics of controllable and adjustable pressure and temperature, automatic measurement of liquid level change, real-time display of water absorption and synchronous implementation of multiple groups of tests, and the accuracy, reliability and automation degree of concrete water absorption testing are remarkably improved.

The invention relates to the technical field of communication, and discloses a network slice resource optimization method, device, system and product. The method comprises the following steps: collecting flow data of each edge node in a target network in a current time step according to the size of the time step; the traffic data comprises short-time traffic data and long-time traffic data of all network slices in the edge node; predicting predicted flow data of each edge node in the next time step based on the flow data of each current edge node; determining a target distribution strategy based on the predicted traffic data of each edge node in the next time step; determining target resource configuration in each edge node in the next time step according to a target allocation strategy and the predicted traffic data of each edge node in the next time step; and allocating network resources to each edge node according to the target resource configuration. By adopting the method, the accurate and efficient dynamic network resource allocation of the whole target network can be realized, and the overall performance of the network is improved.

The present invention discloses a method for realizing interconnection and intercommunication between devices, which is applied to a housekeeper program on a terminal device in an Internet of Things platform. The method comprises: detecting whether a housekeeper program login instruction issued by a user is received, and if so, logging in; issuing an application login instruction to each application respectively, so that each application logs in; obtaining the user's personalized information from a database of a corresponding server, and storing the obtained personalized information in its own shared storage file; when the application in the terminal device receives an application startup instruction issued by the user, the application can obtain the personalized information from the shared storage file, and provide personalized services to the user according to the personalized information; according to a preset time node, uploading the user's personalized information recorded by the application in the shared storage file to the corresponding server, so as to update the personalized information stored in the database.

The utility model discloses a dough lifting and dumping device which is characterized in that a lifting machine comprises a machine base and a machine seat, a rotating support is arranged on the lifting machine, a lifting column capable of driving the rotating support to lift up and down is arranged on the lifting machine, and a turnover structure capable of driving the rotating support to rotate is arranged on the lifting column. A noodle barrel is arranged on the vehicle seat, an inserting structure which can be detachably connected with the vehicle seat is arranged on the rotating support, and a vacuum cutting machine is arranged on one side of the elevator; through cooperation of the lifting column and the rotating motor, lifting and overturning of the dough barrel can be automatically achieved, dough is accurately controlled to be poured into a funnel of the vacuum dividing machine, manual pouring is not needed, the dough transferring efficiency is improved, and the waiting time is shortened.

The embodiment of the invention provides a video classification method. The method comprises the following steps: acquiring a plurality of target video files; obtaining interaction information of each target video file; wherein the interaction information comprises multiple pieces of comment information and / or bullet screen information; obtaining an interaction keyword in each piece of interaction information; and aggregating the plurality of target video files with the same or similar interaction keywords into a file set to perform video classification. According to the video classification method and device, the videos are classified in combination with the interactive behaviors (such as bullet screens and comments) of the users under the different videos, so that the interactive contents in the different videos can be more comprehensively obtained, the classification of the videos is more in line with the actual opinions of the users, and the accuracy and comprehensiveness of the video classification are improved. Besides, by aggregating the file set, centralized management and analysis of the video files under the same or similar interactive contents are realized, so that the video classification efficiency is improved.

The invention relates to a front-end superfine-diameter optical imaging module for an ophthalmic fiber-optic endoscope system. The front-end superfine-diameter optical imaging module for the ophthalmology optical fiber endoscope system comprises a superfine-diameter objective lens; the superfine-diameter objective lens comprises a front lens group and a rear lens group; the front lens group comprises a first lens element with negative focal power and a second lens element with negative focal power, each of the first lens element and the second lens element comprises an object side surface and an image side surface, the first object side surface of the first lens element is a plane, the first image side surface of the first lens element is a concave surface, and the second object side surface of the second lens element is a convex surface. The second object side surface of the second lens element is a concave surface, the second image side surface of the second lens element is a plane, and the concave surfaces are oppositely attached; according to the front-end superfine-diameter optical imaging module for the ophthalmic optical fiber endoscope system, the overall boundary dimension is effectively reduced, the machining and assembling difficulty is greatly reduced, and the stability of the system is improved.

The utility model relates to the technical field of detection, and provides a pipeline inner wall defect detection device which comprises a frame used for moving in a pipeline, wheels arranged in a swinging mode relative to the frame, after the wheels are configured to swing, the axes of the wheels are perpendicular to the axis of the pipeline, a detection adjusting frame is arranged on the frame, and the detection adjusting frame is arranged on the frame. The detection adjusting frame comprises a fixing piece which is arranged in a swinging mode, and the detection device is arranged on the fixing piece. By means of the technical scheme, the technical problem that in the prior art, defect detection of the inner wall of a small-pipe-diameter pipeline is inconvenient is solved, and damage detection of the small-pipe-diameter inner wall is achieved.

The invention relates to the technical field of temperature controllers, in particular to an automatic temperature controller based on temperature and humidity induction and sunset time adjustment, which comprises a data acquisition module used for collecting temperature data and humidity data; the network communication module is used for receiving a control instruction of a user and local sunset time information; the main control module is used for fusing the collected temperature data and humidity data, selecting the temperature and automatically adjusting the working state of the temperature controller; and the execution module is used for executing the instruction and adjusting the temperature. According to the method, the sunset time and the sunrise time are accurately calculated, and the temperature in the box is automatically adjusted at the specific time point, so that unnecessary energy consumption is avoided, and compared with traditional manual adjustment or fixed temperature setting, the method can more accurately meet the actual requirements of the box body, and energy waste is reduced.

This invention discloses a method for preparing high-entropy ceramic matrix composites using a reactive infiltration process, belonging to the technical field of ceramic matrix composites. The steps are as follows: at least four single-component carbides are ball-milled and mixed with a carbon source, then dispersed in a dispersion liquid to obtain a slurry; continuous fibers are woven into a preform, and an interface layer and a matrix layer are deposited to obtain a semi-dense composite material; the slurry is introduced through vacuum or pressure impregnation; and a high-entropy carbide matrix is ​​generated in situ and densified by reactive infiltration after embedding with a transition metal and its alloy. This invention solves the problems of long process cycles, high porosity, high cost, and insufficient introduction of high-entropy ceramics in existing processes, achieving rapid densification and improving the material's high-temperature stability, oxidation resistance, and ablation resistance. It is suitable for the large-scale production of thermal protection materials for hypersonic vehicles.

The application provides a kind of double-link point cloud completion method, system, equipment and storage medium, method includes: the original point cloud data is respectively input into first feature extraction branch and second feature extraction branch, and first feature vector and second feature vector are respectively obtained by different network architecture;The first feature vector and the second feature vector are fused to obtain global high-dimensional semantic feature;And the global high-dimensional semantic feature is decoded to generate the target point cloud set of completion.This application uses two branches to simultaneously extract different dimensional features of point cloud, obtain more, richer high-dimensional semantic features and local features containing global point cloud information, which can improve point cloud completion accuracy and point cloud density.

The invention discloses intelligent temperature control fabric production equipment and technology, and relates to the technical field of textile processing equipment. The fabric soaking device comprises a rack, a soaking box is fixedly mounted at the bottom of the rack and used for soaking fabric, one side of the soaking box is rotationally connected with a penetrating mounting shaft, one end of the mounting shaft is fixedly connected with a roller, and a plurality of penetrating through holes are formed in the circumference of the roller and used for soaking liquid to penetrate through; the side, away from the mounting shaft, of the soaking box is fixedly connected with a hollow liquid pumping box, the liquid pumping box is arc-shaped, and the bottom of the liquid pumping box is attached to the inner wall of the roller; a feeding guide roller, a middle guide roller and a discharging guide roller are rotationally connected between the inner walls of the two sides of the soaking box, and the fabric is attached to the bottom of the roller when passing through the middle guide roller. Completeness of the temperature control microcapsules is guaranteed, meanwhile, soaking liquid fully enters fiber gaps, the quality of finished products is improved, the soaking efficiency is improved through pretreatment, pulp waste is reduced through pulp squeezing, and meanwhile the cost is reduced for the follow-up drying procedure.

A rear foot force line shooting platform at a specific angle comprises a platform plate, a horizontal sliding adjusting mechanism, a step-shaped platform body, an X-ray imaging plate angle measuring mechanism and an X-ray source box angle measuring mechanism, the X-ray imaging plate angle measuring mechanism is fixed to the end side of the platform plate, the horizontal sliding adjusting mechanism is fixed to the platform plate, and the X-ray source box angle measuring mechanism is fixed to the step-shaped platform body. The X light source box angle measuring mechanism and the step-shaped platform are inserted into the horizontal sliding adjusting mechanism, and the X light source box angle measuring mechanism and the step-shaped platform can slide on the horizontal sliding adjusting mechanism and are fixed to the horizontal sliding adjusting mechanism through locking nuts. Inclination angle measuring mechanisms are arranged on the two sides of the shooting platform respectively, the inclination angle and the vertical relation of the X-ray light source box and the X-ray imaging plate can be conveniently and rapidly adjusted, meanwhile, the height of the feet of the shooting platform is increased, the horizontal position of the shooting platform can be adjusted, and the irradiation area of X-rays completely falls on the X-ray imaging plate. Therefore, the image data of the rear foot force line at a specific angle can be obtained more completely.

This utility model discloses a kit-type cervical tissue aspiration tube assembly, including a storage plate, an aspiration tube assembly, and a syringe assembly. The aspiration tube assembly includes an operating part for connecting to the syringe assembly. The operating part has an arc-shaped tube body, and the end of the tube body has an aspiration port. The storage plate has two sets of lower limiting protrusions, limiting ribs, and upper limiting protrusions arranged sequentially. A first locking groove is provided between the lower limiting protrusions, a second locking groove is provided between the limiting ribs, and a third locking groove is provided between the upper limiting protrusions. The first, second, and third locking grooves form an arc-shaped storage groove, and the tube body is locked into the storage groove. The tube body of this utility model can be stably stored on the storage plate, avoiding falling off and causing contamination, and ensuring that the sampling equipment is clean and tidy.

The invention relates to the technical field of screen laminating equipment, and particularly discloses a screen laminating equipment operation monitoring system based on parameter diagnosis, and the system comprises a temperature monitoring module which comprises an infrared camera, a position correction module and an infrared image processing module and is arranged at one side of a laminating end of laminating equipment, the infrared image acquisition module is used for acquiring and correcting infrared image information of the fitting end and monitoring the heating state of the fitting end according to the corrected image information; the air pressure monitoring module is used for acquiring the real-time power and the real-time negative pressure of the vacuum pump and monitoring the negative pressure state of the laminating equipment according to the real-time power and the real-time negative pressure; the diagnosis module is used for diagnosing the operation process of the laminating equipment according to the monitored heating state of the laminating end and the negative pressure state of the laminating equipment, and performing early warning according to the diagnosis process; the system can judge the control effectiveness of the temperature in combination with the uniformity of the temperature and the deviation state of the standard temperature.

The present invention relates to the technical field of piston ring group wear monitoring, specifically a method and system for predicting the wear life of a piston ring group; firstly, the working status data of the piston ring group is collected in real time, and the improved wavelet transform is used for denoising and the missing data is processed by the KNN interpolation method, then the data after standardization and normalization is processed, and the filter label generation and audit mechanism are used to ensure the ordered homogeneity of the data, and an ultra-limited learning machine model is constructed, and the hidden layer output matrix is ​​calculated by randomly generating hidden layer weights and bias vectors, and the model parameters are optimized by the white whale optimization algorithm to improve the prediction accuracy, and then the remaining life is predicted, and the final prediction result is used to calculate the fault risk coefficient, and compared with the preset threshold value to provide maintenance suggestions, and the real-time data and prediction results are displayed to assist users in making maintenance decisions. The present invention combines advanced signal processing technology and machine learning algorithms to improve the maintenance efficiency of the piston ring group and the reliability of equipment operation.

The invention discloses a quartz sand production wastewater reuse treatment device, and relates to the technical field of wastewater treatment, the quartz sand production wastewater reuse treatment device comprises a collection tank, a treatment bin, a PH adjusting tank, a first partition plate, a second partition plate, a flocculation cavity, a deposition cavity, a filtering cavity, a sliding plate, a lifting cylinder and a lifting frame; a tubular portion; the sealing unit is used for sealing the lower side opening part of the tubular part; and the extrusion unit is used for generating extrusion force on the liquid in the tubular part. According to the device, when the tubular part moves downwards, flocculating agent powder floating on the liquid level in the flocculation cavity and wastewater can be sucked into the inner cavity of the tubular part together, the flocculating agent powder floating on the liquid level is reduced, and then the wastewater in the inner cavity of the tubular part is extruded through the extrusion unit; the flocculation cavity is arranged in the flocculation cavity, so that the wastewater can drive flocculating agent powder to be quickly extruded into the wastewater in the flocculation cavity, the flocculating agent powder cannot float on the liquid level and can be quickly dissolved in the wastewater, the contact area and the mixing strength of the flocculating agent and the wastewater are increased, and dissolution of the flocculating agent is remarkably accelerated.

This invention provides a novel light field AR-HUD device integrating dual-focal-plane and triple-focal-plane displays. In this invention, light from three different virtual image distances is emitted from the same image source. The light from the farthest focal plane passes through an adjustable optical path device and is transmitted together with the light from the intermediate focal plane to a small freeform surface mirror. The light from the closest focal plane is emitted by the PGU and transmitted to the small freeform surface mirror. Then, the light from all three focal planes is projected onto a large freeform surface mirror and reflected by the car windshield into the driver's eyes, allowing the driver to simultaneously see images from three different distances. This invention uses a single PGU and, through its optical structure, can achieve switching between dual-focal-plane and triple-focal-plane light field AR-HUD displays, meeting the needs of more driving scenarios, resulting in more layered images and superior display effects, while avoiding a significant increase in cost, providing a new solution for the development of HUD technology.

The application provides a scheduling method and system for multi-digital avatar synchronous screen driving, wherein the method comprises: collecting real-time facial key point data and emotion feature vectors of a driving source, the facial key point data comprising key point coordinates, eye opening degree, mouth opening degree, FACS activation intensity, and the yaw angle, pitch angle and roll angle of the head posture; inputting the emotion feature vectors into an emotion-action mapping model to generate corresponding action control parameter sequences; distributing the action control parameter sequences to multiple digital avatars on the same screen through a timestamp alignment mechanism, so that each digital avatar completes synchronous update of expressions and actions within the same frame; and dynamically allocating scheduling priorities of each digital avatar to control end-to-end driving delay within a preset threshold. The application can greatly reduce the inter-frame synchronization error of multiple digital avatars, significantly improve the naturalness of digital avatar expression transition, and improve the visual continuity of multi-digital avatar synchronous screen driving.

The invention relates to the technical field of green port grade evaluation, and particularly discloses a method and system for assisting in evaluating the grade of a green port based on multi-source remote sensing data, and the method comprises the steps: determining a port area boundary range and a port storage yard range based on a high-resolution remote sensing image, and limiting a port area; establishing an attribute table based on a geographic information system; identifying a dust suppression measure, a sewage pretreatment / treatment measure and a sound insulation and vibration reduction measure based on a high-resolution remote sensing image; identifying a shoreline utilization degree, a solid waste recycling measure, a harbor district greening measure and an ecological bank protection measure in a harbor district boundary range; identifying emission concentrations of COD, ammonia nitrogen, NOx, and particular contaminants in the defined port area; carrying out score marking on the recognition result in an attribute table to obtain a comprehensive evaluation result; and assisting in evaluating the grade of the green port based on the comprehensive evaluation result. The method achieves the evaluation of the grade of the green port based on remote sensing data, and improves the evaluation efficiency and accuracy.

This utility model discloses a sample feeding device for a reactor used in the production of unsaturated polyester resin, specifically relating to the field of polyester resin production technology. The device includes a hopper with a feeding pipe at its bottom, connected to an external vacuum feeder pipe. A set of first bearing seats is installed on both sides of the hopper, and a first drive shaft is connected between each set of first bearing seats. A protrusion is fixed to the outer side of the first drive shaft, and a first bevel gear is installed at the front end of the first drive shaft. A set of second bearing seats is fixed to the front side of the hopper, and a second drive shaft is connected between the second bearing seats. Second bevel gears are fixed to both ends of the second drive shaft, meshing with corresponding first bevel gears. A transmission mechanism is provided on the front side of the hopper. This utility model, by incorporating protrusions, ensures that the hopper receives continuous and uniform impact vibration during the feeding process, effectively solving the problem of material easily adhering to the inner wall in traditional vacuum feeders.

The invention relates to a distribution network dispatching automation technology in a power system, in particular to an intelligent distribution network maintenance automatic permission data model. The system comprises a data acquisition module, a data verification module, an automatic permission module, an equipment condition verification module before power restoration and a data backfilling module. The data acquisition module acquires related data from a distribution network OMS system and an OCS system; the data verification module carries out equipment state consistency verification, logic verification and association verification; the automatic permission module performs automatic permission and generates permission information after the verification is passed; the equipment condition verification module before power restoration performs verification before power restoration on the equipment; and the data backfilling module backfills the permission information to the distribution network OMS system. According to the method, multi-dimensional data are integrated, the accuracy, reliability and efficiency of maintenance permission are improved through hierarchical verification, and maintenance safety and stable operation of a power grid are guaranteed.

This invention relates to the field of water pollution control materials technology, specifically disclosing a method for preparing a quaternary ammonium salt modified starch-chitoxin composite gel. First, chitoxin powder is added to a green solvent to obtain a chitoxin solution. Then, a quaternary ammonium salt modified starch dispersion is added to obtain a chitoxin composite solution containing quaternary ammonium salt modified starch. Next, repeated freeze-thaw cycles are performed to obtain a viscous composite. A crosslinking agent is added dropwise to the composite to obtain a crosslinking gel precursor. Finally, the crosslinking gel precursor is soaked in alcohol and washed until neutral to obtain the quaternary ammonium salt modified starch-chitoxin composite gel. The green solvent is a urea-water system of NaOH, KOH, or LiOH; the crosslinking agent is epichlorohydrin or epichlorohydrin. The application of the quaternary ammonium salt modified starch-chitoxin composite gel in the removal of micro / nanoplastics from water is also disclosed. This invention aims to solve the problems of complex synthesis processes, high production costs, and easy secondary pollution associated with existing micro / nanoplastics adsorbent materials.

The invention relates to the technical field of multi-source remote sensing data processing, and discloses a power grid multi-source remote sensing data fusion and change detection method and related equipment, and the method comprises the steps: carrying out the fusion processing of target multi-source remote sensing data corresponding to a target power grid, and obtaining fused remote sensing data; and performing change detection according to the fused remote sensing data in a preset time window to obtain a change detection result corresponding to the target power grid. Through fusion of multi-source remote sensing data, advantages of different data sources can be comprehensively utilized, information of a power transmission area corresponding to a target power grid is more comprehensively acquired, and the problems of large ground feature scale difference, complex and diversified ground feature types and unbalanced ground feature category distribution are effectively solved. A basis is provided for improving the accuracy and integrity of a change detection result; change detection is carried out by means of fused remote sensing data in a preset time window, the change trend of the power grid can be dynamically tracked, and valuable reference basis is provided for long-term planning and decision making.

The invention provides a coal pore structure multi-scale quantitative characterization method, which belongs to the field of gas extraction and coal engineering, and comprises the following steps: scanning a preprocessed coal sample by using a scanning electron microscope to obtain a coal sample macroscopic picture; scanning the preprocessed coal sample by using a computed tomography scanner to obtain a micron-sized picture of the coal sample; scanning the pretreated coal sample by using an X-ray scatterometer to obtain a nano-scale picture of the coal sample; extracting macroscopic features of the pore structure of the coal sample from the macroscopic picture of the coal sample; according to the coal sample macroscopic picture and the coal sample micron-order picture, micron-order features of the coal sample pore structure are extracted; and extracting the nano-scale characteristics of the pore structure of the coal sample from the nano-scale picture of the coal sample. According to the method, three different technologies are combined for mutual complementation and verification, quantitative characterization is carried out on the coal pore structure from multiple scales such as macroscopic scale, micron scale and nano scale, and the feature information of the coal pore structure under different scales can be comprehensively and accurately obtained.

The application discloses a polishing device for large-scale burrs on the surface of a casting, comprising a three-dimensional scanner, which is arranged at one side of a polishing mechanism and parallel to the polishing mechanism; the three-dimensional scanner is fixedly arranged on a visual angle offset mechanism; and a burr sensing mechanism is fixedly arranged at the side of the polishing mechanism. In order to solve the technical problem that the common three-dimensional scanner is prone to missing scanning data due to blocked visual line when facing large-scale shielding burrs, the burr sensing mechanism is used to physically contact and detect the burrs, and the visual angle offset mechanism is directly mechanically driven through a linkage control mechanism, so that the visual angle of the three-dimensional scanner can be automatically deflected when encountering the burrs, the burr shielding can be bypassed, the three-dimensional data of the shielded area can be more fully acquired, and more reliable path planning basis can be provided for subsequent polishing.

The utility model relates to the field of powder selecting machines, and particularly discloses a feeding assembly and a powder selecting machine, the feeding assembly comprises a powder selecting machine main body, a bottom plate is arranged on the outer wall of the powder selecting machine main body, a feeding port is arranged above the powder selecting machine main body, a pulling plate is arranged on the outer wall of the right side of the powder selecting machine main body, and a discharging port is arranged below the pulling plate. A placing plate is arranged on the left side of the powder concentrator main body, and a discharging opening is formed in the upper part of the powder concentrator main body; a fixing plate is arranged in the powder concentrator body, an inclined plate is arranged below the right end of the discharging port, and the lower portion of the inclined plate is in contact connection with the feeding port. According to the powder concentrator, the fixing plate is arranged in the powder concentrator body, unqualified materials can be screened through the fixing plate, the materials are reserved above the fixing plate, the materials are removed through the pulling plate, the threaded rod is arranged on the left side of the discharging opening, and feeding can be conducted on the powder concentrator bodies of different heights; and the inclined plate can enable the materials to fully enter the powder concentrator main body.

The present application relates to the technical field of disease risk prediction, and particularly relates to a ten-year risk prediction method, system and device for sudden cardiac death, the method comprising: obtaining 48-hour electrocardiogram data of an individual sample and a risk classification evaluation result based on a China-PAR risk assessment model; splitting and combining the electrocardiogram data to obtain a preset multi-dimensional waveform graph; constructing a convolutional neural network model, taking the waveform graph as input and the corresponding risk classification evaluation result as output to train the model and obtain a sudden cardiac death risk prediction model; inputting the processed waveform graph of 48-hour electrocardiogram data of a subject into the prediction model, and outputting the result as a ten-year sudden cardiac death risk prediction level result. The present application can create a non-linear, high-precision, and iterative sudden cardiac death risk deep learning model for the general population and doctors, improve the detection rate of sudden cardiac death, and reduce the recurrence rate and mortality.