18results about How to "Accurate peeling" patented technology

This invention relates to the field of medical device technology and provides a method, system, and medical device for measuring peak cough flow rate. The method includes real-time acquisition of inspiratory and expiratory flow rate signals and airway pressure signals; monitoring changes in the expiratory flow rate signal to identify burst cough events and lock a cough analysis window; calculating the difference in inspiratory and expiratory flow rates within the cough analysis window to obtain a baseline cough flow rate sequence; calculating the airway pressure signal within the cough analysis window using a system leakage factor to obtain a leakage flow rate compensation sequence; determining coefficients based on the ratio of tubing and patient airway resistance parameters and multiplying the expiratory flow rate signals to obtain a tubing resistance compensation sequence; superimposing the above sequences to obtain a corrected flow rate sequence; and extracting extreme value features and evaluating the effectiveness of the corrected flow rate sequence generated after a preset number of iterations to determine the peak cough flow rate value. This invention solves the problems of inaccurate and inefficient measurement results in existing peak cough flow rate measurements.

This invention discloses a cable tray box and a handcart-type switch cabinet having the same, comprising a box body, a stripping component, an anti-pull component, and a straightening component. The stripping component, installed inside the box body, can strip the cable sheath. The anti-pull component, installed inside the box body, limits the cable winding and prevents the other end of the cable from being pulled or causing the cable end with the terminal to fall off during the stripping process. The straightening component, installed inside the box body, straightens the bent cable, restoring it to a straight state. By integrating the stripping component, the anti-pull component, and the straightening component, this invention achieves precise stripping, effective anti-pull, and automatic straightening, thereby improving cable routing efficiency, safety, and reliability. It solves the problems of inaccurate stripping, easy pulling of cables leading to loosening, and bending caused by clamping that exist in traditional handcart-type switch cabinets during the cable routing process.

The utility model relates to a coating gasket for a full-tab battery, which is used for being clamped at a discharge hole of a coating machine so as to realize directional spreading of slurry on a coating surface through capillary effect and shear force control in a use process. The coating gasket comprises a gasket base body and a plurality of gasket side parts extending outwards from one side of the gasket base body, every two adjacent gasket side parts form a groove-shaped coating area, and in the gasket side parts, the groove-shaped coating area is formed by the gasket side parts. And one end of each gasket side part except the first gasket side part and the last gasket side part is provided with a double-choked flow structure so as to form a stepped flow resistance structure. The device can effectively improve the lithium precipitation phenomenon of the full-tab battery.

The utility model relates to the technical field of corn processing, and discloses an air hammer structure and a fresh corn husker thereof, the air hammer structure comprises an air cylinder main body, the bottom end of the air cylinder main body is provided with a mounting rack, and the mounting rack is fixedly connected with the output end of the air cylinder main body; the husking assembly is arranged at the bottom of the mounting frame, the husking assembly is used for husking corn and comprises a mounting frame, an extrusion block, a first husking roller and a second husking roller, the mounting frame is fixedly connected with the mounting frame, the extrusion block is elastically connected with the mounting frame, and the first husking roller and the second husking roller are symmetrically arranged; the first husking roller and the second husking roller are both elastically connected with the installation frame, the first husking roller and the second husking roller are elastically connected in the corn husking process, after making contact with the edge of the corn, the first husking roller and the second husking roller are pushed to the two sides by the corn and make close contact with the edge of the corn, and husking treatment is conducted on the corn of different sizes through the movable husking assembly.

This invention relates to the field of radio communication and signal processing technology, specifically to a multi-band adaptive frequency hopping reconnaissance signal processing system for monitoring wireless communication networks. The system includes: acquiring broadband digital data to generate a time-frequency matrix and constructing steady-state time-frequency reference data accordingly; generating simulation excitation parameters based on preset parameters; calculating the theoretical residual between the excitation parameters and the reference data, as well as the actual residual between the real-time data and the reference data; calculating the time-frequency structural similarity between the theoretical and actual residuals; triggering the generation of narrowband data using channelization resources when the matching degree reaches a preset threshold, otherwise not triggering; performing parameter estimation and modulation identification on the narrowband data, and dynamically updating the reference data or simulation excitation parameters based on the decision and identification results. This invention significantly reduces the probability of false triggering by misjudging environmental noise as a frequency hopping target.

The invention provides a yarn end finding device, a yarn end making-up robot system and a yarn end making-up method, belongs to the field of ring spinning frames, and aims at solving the problems that in the end finding process in the prior art, the blowing distance is difficult to stably control, and secondary damage to a yarn layer is likely to be caused. Comprising a lifting module, a translation module, a rotating module, an abutting piece, an elastic reset piece and a nozzle. By means of the collaborative design of the rotating module, the constant-distance blowing nozzle and the self-adaptive abutting piece, the system can automatically maintain the optimal blowing gap on bobbins with different diameters and surface states, accurate and mild stripping of yarn heads is achieved, damage to other yarn layers on the surfaces of the bobbins is avoided, the head finding success rate is high, and adaptability is high.

This invention discloses a Bayesian inversion extraction method for the equilibrium signal of wide-span altimeter data. The method involves acquiring and preprocessing sea surface height anomaly sequences from radar interferometers and nadir altimeters. A normalized sine square window function is applied for windowing, and multidimensional spatial averaging is used to estimate the one-dimensional wavenumber power spectrum. A piecewise power law-based equilibrium signal spectrum model and a noise spectrum model constrained by dynamic sea state are constructed, and the set of spectral parameters is extracted through logarithmic domain weighted least squares fitting. A set of spatial covariance matrices is constructed using cosine integral transform and Abelian forward and inverse transforms. A graphics processor is scheduled to perform batch matrix decomposition and singular fault-tolerant regularized inversion to solve for the posterior mean vector and posterior covariance matrix of the target equilibrium signal. Window fusion and index mapping are applied to fill the gaps in nadir observations. Geostrophic dynamics parameters are calculated, uncertainty quantification is performed based on the linear error propagation law, and the knowledge base is updated based on the exponential moving average algorithm. This invention achieves suppression of observation noise and physical filling of observation gaps, improving the adaptability of the inversion system to environmental changes while preserving non-Gaussian dynamic characteristics.

The utility model belongs to the technical field of waste battery recycling, disclose a kind of peeling machine for waste battery recycling, including the rack device for supporting and conveying waste battery one by one, further including the blanking device for containing waste battery in order to be sequentially discharged, which is arranged at one end of rack device, rack device middle is provided with the peeling device for limiting the movement of waste battery and friction and stripping the outer skin of waste battery, cutting device is arranged in the middle of peeling device for reciprocating and sliding cutting the outer skin of waste battery.The utility model discloses a kind of peeling machine for waste battery recycling, stripping roll surface is wrapped with gelatinous material rotation and friction and stripping the outer skin of waste battery, both provide enough friction force and continuously strip the outer skin, and reduce the wear of battery metal shell;Elastic pressing plate and stripping roll synergistic effect, keep the uniform stress of battery outer skin when friction stripping, avoid damaging the internal structure of battery;Triangular double-blade sliding cutter is driven reciprocating motion by linear motor, quickly and accurately cut open the outer skin.

This invention discloses a method for heat regulation of snow shelters based on snow-covered feature image recognition, belonging to the field of image recognition technology. The method includes the following steps: acquiring a continuous image brightness change sequence of the snow shelter surface; extracting brightness values ​​at different time points for the same spatial location; constructing a brightness time evolution matrix corresponding to each spatial location to characterize the change law of the snow shelter surface brightness over time; and based on the brightness time evolution matrix, trajectories are marked for regions where the brightness shows a continuous decreasing trend in the time dimension and a continuous translation feature in the spatial dimension, forming a shadow migration region sequence. This invention eliminates dynamic shadow interference by constructing a brightness time evolution matrix, avoiding heat distribution shifting with shadows, and achieving accurate identification and stable heating of the actual snow-covered area. Simultaneously, it dynamically monitors the melting trend during heating, increasing heat intensity when stagnation occurs to suppress ice shell formation and improve operational safety.

The application discloses a kind of based on multi-modal feedback and feature purification ancient building point cloud model completion method, including calculating the local density of each three-dimensional coordinate point in ancient building defect point cloud model, obtain adaptive neighbor quantity, utilize dynamic graph convolution network to process feature descriptor, obtain the component class to which three-dimensional coordinate point belongs;Retain the component class to which the three-dimensional coordinate point corresponding to the component class of classification confidence higher than dynamic confidence threshold belongs, obtain final belonging component class, obtain purified feature based on the class;Construct two-dimensional uniform grid point set, splice purified feature with grid point coordinates in two-dimensional uniform grid point set, obtain high-dimensional feature vector, utilize folding decoder to obtain the component point cloud set after completion, and then obtain the point cloud set after smoothing, utilize multi-modal large language model to process the set, complete point cloud completion.The application realizes high-fidelity fine repair, guarantees the completion stability under full scene.

The application discloses a host intention recognition method and device, relates to the technical field of host intention recognition, and mainly aims to accurately recognize the intention of a host based on the data stream of a live broadcast room in a live broadcast scene; the method comprises the following steps: acquiring multi-modal data stream of the current time window of the live broadcast room in real time in a preset time window; performing feature extraction on the multi-modal data stream to obtain a multi-modal feature vector sequence; calling a pre-trained variational state space model to map the multi-modal feature vector sequence to a latent space to generate a latent variable sequence representing the state of the host in the live broadcast room, and using the disentanglement ability learned by the variational state space model in counterfactual training in the live broadcast scene to disentangle a pure intention factor from the latent variable sequence, wherein the pure intention factor is not affected by the environment of the live broadcast room and is used to indicate the subjective intention of the host in the live broadcast room; and based on the disentangled pure intention factor, the intention recognition result of the host in the live broadcast room in the current time window is obtained through an intention classifier.

This invention relates to the field of digital psychology and provides an AI-based method and system for crawling dynamic multi-modal psychological test questions. The method includes the following steps: obtaining the URL of the target psychological test page and selecting a set of device configuration parameters that includes at least desktop and mobile versions according to a preset device type library; loading and rendering the target psychological test page according to each configuration parameter in the device configuration parameter set, and crawling the complete document object model tree presented in each simulation environment; using AI to compare multiple document object model trees to obtain unique content nodes between versions, and selecting effective nodes to merge into a unified content tree structure; generating standardized test question data based on the unified content tree structure. This invention achieves efficient, accurate, and automated crawling of dynamic multi-modal psychological test questions by simulating multiple client access environments and introducing an AI-driven intelligent comparison, filtering, and fusion mechanism.

The application discloses a kind of low-altitude aircraft detection data processing method and system.The method is executed by data processing equipment, comprising: the operating state parameter sequence of low-altitude aircraft is collected;The operating state parameter sequence is preprocessed and feature is solved, and electromechanical response characteristic signal is obtained;The system delay constant between the electromechanical response characteristic signal is extracted;The electromechanical response characteristic signal is compared with consistency, and synchronization deviation degree index is obtained;According to the space height parameter and the synchronization deviation degree index, aircraft structure health state is judged, and detection conclusion is output.Through the physical delay of adaptive calibration system inherent, and the relative change rate of electric energy input and mechanical response is introduced to carry out time domain alignment comparison, effectively peel off common mode interference such as external environmental wind disturbance, realize in not depending on internal flight control system log black box state, to aircraft microstructure fatigue and mechanical transmission loosening defect Precision detection.

This application discloses a distributed monitoring method and system for internal pressure of deep-sea hoses based on fiber Bragg gratings, relating to the field of intelligent sensor technology. In this method, firstly, the raw reflectance spectrum data of the fiber Bragg grating is acquired, the center wavelength is extracted, and the drift is calculated to obtain a composite wavelength drift sequence. Secondly, a refractive index distortion correction is calculated based on the external environmental pressure to correct the wavelength, and the temperature and external water pressure components are decoupled and removed to obtain the target wavelength drift sequence. Then, a compensation factor is calculated using peak optical power for amplitude compensation to obtain a second wavelength drift sequence. Finally, the wavelength drift sub-sequences of each node are intercepted according to a preset interval, and the internal fluid pressure of each node is calculated using a pre-calibrated pressure sensitivity coefficient, thereby obtaining the distributed monitoring result. Implementing the technical solution provided in this application can improve the accuracy of monitoring the internal fluid pressure of deep-sea hoses.

The utility model is suitable for 3D printing technical field provides a kind of 3D printing model support material removal device, including end fixed base: the outer wall of end fixed base is provided with distance adjusting mechanism, the side fixed connection of end fixed base has main slide, the outer wall fixed connection of end fixed base has first telescopic hydraulic cylinder, the fixed connection of first telescopic hydraulic cylinder one end has first sliding table;Through the collaborative cooperation of end fixed base, distance adjusting mechanism, main slide, first telescopic hydraulic cylinder, first sliding table, second telescopic hydraulic cylinder, second sliding table, storage component, stabilizing component and removal component, the efficient, stable and automated removal of 3D printing model support material is realized, end fixed base is as the basic support of overall structure, cooperate main slide and hydraulic cylinder drive sliding table movement, realize the multidirectional distance adjustment between removal component and model;Distance adjusting mechanism further refines the horizontal displacement of mechanical arm, improves positioning accuracy.

The invention is suitable for the technical field of geometric modeling and constraint solving, and provides a geometric constraint solving method, which comprises the following steps: acquiring first data input by a user; the first data comprises a plurality of first geometric objects and a first constraint relationship corresponding to each first geometric object; creating a constraint graph according to the first data; cutting the constraint graph to obtain at least one cut first constraint sub-graph; the first constraint subgraph is a constraint subgraph which cannot be cut in the constraint graph; each first constraint sub-graph is solved; obtaining a first solving result corresponding to each first constraint sub-graph; under the condition that all the first solving results show that solving is successful, cutting each first constraint sub-graph until all the first constraint sub-graphs are completely cut; and solving the plurality of second constraint sub-graphs to obtain a geometric model corresponding to the first data. The method meets the scene requirements of high-precision manufacturing, scientific calculation and the like which have extremely high requirements on geometric certainty.

This invention provides a method, device, and medium for personnel identification based on audio fusion, relating to the field of personnel identification technology. The method includes: if the x-th fine-grained human voice segment HC to be identified is not determined... x For the corresponding user, the preset fused voiceprint feature list HB is obtained; the HC is obtained. x The first similarity with each fused voiceprint feature in HB is used to obtain HC. x The corresponding first similarity list HD x According to HD x Obtain the first target similarity HD x =MAX(HD) x ); where MAX() is the preset maximum value function; if HD x If '≥H', then HC is determined. x The corresponding users are several known users; where H' is a preset voiceprint feature similarity threshold; the present invention can ensure rapid identity recognition and response of multi-person voice streams in high-noise environments, and improve the reliability and security of aviation communication systems.