18results about How to "Avoid continuity" patented technology

The utility model discloses a self-adaptation screw machining feeding device which comprises a vibration disc and a support, the discharging end of the vibration disc is communicated with a material guide rail, the material guide rail is installed at the upper end of the support, the outer wall of the support is rotationally connected with two sets of air pipes, and the outer wall of a device cylinder is fixedly connected with a connecting pipe. And one-way valves are mounted in the connecting pipe and the air guide pipe. According to the screw blanking device, the blanking speed of screws is accurately controlled through regular telescopic movement of the electric telescopic rod, and the problem of material blocking or discontinuous feeding caused by too fast or too slow blanking is avoided. Meanwhile, the electric telescopic rod synchronously drives the piston to slide back and forth in the device barrel through the connecting rod, gas is compressed and injected into the gas pipe through the gas guide pipe, uniform gas flow is formed to assist the screw in sliding, friction force between the screw and the gas pipe is reduced, and it is guaranteed that the screw can stably and continuously enter a machining station; the problem of material blocking caused by too large friction force or insufficient airflow in a traditional round rod screening mode is effectively solved.

The application discloses a bolt tightening method based on a vision-language-action model, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: collecting scene image data of a target bolt and a workpiece region around the target bolt, extracting multi-scale visual features from the collected scene image data, and obtaining a multi-scale visual feature vector Fv; performing semantic analysis on a natural language instruction to obtain a language feature vector Fl; performing cross-modal feature alignment on the Fv and the Fl to obtain an aligned feature vector Fvl; performing action decoding and parameterized mapping processing on the Fvl to generate an action parameter vector Fd; inputting the Fd into a control execution module to perform kinematics solving and control instruction generation, so as to drive an automated execution device to complete a bolt tightening operation. The method can improve the accuracy, adaptability and stability of bolt tightening operation under complex working conditions, and effectively reduce the labor cost of bolt tightening work.

This invention discloses a sparse-view 3D Gaussian reconstruction method based on a diffusion model understanding paradigm, comprising the following steps: Step 1, initial parameter acquisition; Step 2, unified parameter encoding; Step 3, diffusion understanding modeling; Step 4, acquisition of denoising correction intensity index; Step 5, adaptive primitive selection; Step 6, fine-tuning optimization. This invention transforms the diffusion model from a generative paradigm to an understanding paradigm, utilizing the parameter correction behavior during its inverse denoising process as a structural discrimination signal, thus solving the problem of not being able to automatically distinguish between true geometric Gaussian primitives and overfitted pseudo-Gaussian primitives under a sparse viewpoint. It does not require the introduction of any external priors, adopting a purely data-driven analysis approach, overcoming the limitation on universality caused by existing methods relying on priors such as depth and geometry. By replacing direct deletion operations with an opacity soft adjustment strategy based on an adaptive threshold, it avoids geometric breaks and optimization discontinuities.

The invention relates to an image splicing method and device, optical microscopic measurement equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a first image and a second image to be spliced; determining first reference information corresponding to the first image and second reference information corresponding to the second image based on the target matching mode; based on the first reference information and the second reference information, respectively determining a first overlapping region in the first image and a second overlapping region in the second image; based on first height information corresponding to the first overlapping region and second height information corresponding to the second overlapping region, determining a morphology error between the first image and the second image; and based on the first overlapping region, the second overlapping region and the morphology error, splicing the first image and the second image to obtain a spliced image. By adopting the method, the image splicing effect can be improved.

The embodiment of the invention discloses a data recovery method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: receiving to-be-repaired data of a server sending event SSE interface, wherein the to-be-repaired data comprises a plurality of sub-data obtained by splitting based on marked splitting points; comparing the plurality of sub-data, and determining difference data and position identification; constructing a difference data set for each location identifier; executing a repair judgment processing operation on each difference data set; judging whether the difference data is discrete data or not based on a preset discrete judgment threshold value; when the difference data are non-discrete data, dividing the difference data into a first type of difference data and a second type of difference data according to a vector distance between the difference data; based on a quantitative relationship between the first type of difference data and the second type of difference data and an abnormal data proportion of the to-be-repaired data, determining the to-be-repaired type of difference data and correct type of difference data; and repairing the to-be-repaired class difference data based on the correct class difference data to obtain repaired data.

The invention belongs to the technical field of organ chips and biological manufacturing, and relates to a vascularized multi-tissue interaction organ chip based on a phase change sacrificial structure and a construction method and application thereof. According to the invention, collaborative construction of multiple tissue chambers and a blood vessel-parenchymal tissue biological interface is realized through a continuous phase change process of the sacrificial hydrogel material; according to the organ chip disclosed by the invention, an extra diaphragm or complex processing is not needed, the continuity and the bionic property of a multi-tissue interaction interface are maintained, the simulation of signal exchange and a pathological process among multiple tissues in a body is facilitated, and the organ chip has higher bionic property and applicability in applications such as complex physiological interaction modeling, drug evaluation and disease mechanism research.

The application discloses a kind of based on non-invasive temperature monitoring's superhigh pressure container process phase identification method, it is related to superhigh pressure container monitoring technical field.The upper end cover of the working cylinder body of the superhigh pressure container is installed with at least two temperature sensors in non-pressure area, and the lower end cover is also installed with at least two temperature sensors in non-pressure area;The method comprises the following steps: synchronously collecting the temperature time series data of each temperature sensor;Extracting multidimensional temperature feature vector from the temperature time series data, the multidimensional temperature feature vector includes: the instantaneous temperature difference between the upper end cover and the lower end cover measuring point, the temperature change rate of the upper end cover and the lower end cover measuring point respectively, and the time series lag feature of the temperature response of the upper end cover and the lower end cover measuring point;Based on the multidimensional temperature feature vector, the current process phase is identified, and the process phase includes at least one of the pressurization stage, the pressure maintaining stage, the pressure relief stage and the cycle stage.

The application discloses a kind of nano-composite ceramic particles modified aluminum alloy powder for 3D printing and preparation method thereof, belong to metal additive manufacturing material technical field.The powder is composed of 7XXX series aluminum alloy powder matrix and TiC and TiB2 nanoparticles attached to its surface.TiC nanoparticle addition amount is 0.3%~1% of total mass, TiB2 is 0.1%~1%, total addition amount is controlled at 0.4%~1%.Two kinds of nanoparticles are uniformly coated on the surface of aluminum alloy powder by low-energy ball milling process, and the "TiB2-Al3Ti-Al" efficient heterogeneous nucleation path is constructed.The application realizes grain ultra-fining and completely crack-free forming under very low ceramic content, while avoiding the plasticity decline and surface treatment performance degradation caused by excessive ceramic phase.The obtained powder has excellent comprehensive performance, and is suitable for the manufacturing of high-strength, high-surface quality components.

The invention discloses a multi-mode coupling industrial park energy management and distribution method and system, and belongs to the technical field of power system operation and control, and the method comprises the steps: collecting the operation state data of the storage, charging and discharging total factors of an internal source network load of an industrial park, and recognizing the type and real-time state of equipment through a non-intrusive load recognition algorithm; inputting a long short-term memory network to predict the photovoltaic power and the total load, outputting the maximum interruptible load capacity through fuzzy reasoning, calculating a power mutual aid reference value by taking the DC bus voltage as a constraint, solving a collaborative optimization model based on a quadratic programming algorithm, and outputting an optimal control vector to drive the adjustable equipment and the flexible interconnection converter. According to the method, the PID control parameters are adaptively adjusted according to the equipment type, the industrial load response lag is compensated, the low-voltage flexible direct-current interconnection system is used for executing power mutual aid, the power unbalance degree of the transformer area is eliminated, the voltage deviation is restrained, and collaborative optimization and accurate distribution of the source network load storage, charging and discharging total factors of the industrial park are achieved.

The present disclosure provides a video processing method, device, medium and electronic equipment, relating to the field of video processing, the method comprising: performing matting processing on a first target video by a video matting model to obtain a first foreground video and a first background video; the video matting model being trained according to at least a second target video output by a video synthesis model, the video synthesis model performing feature extraction on target video frames of the same moment in a second foreground video and a second background video to obtain first video frame features, and obtaining second video frame features corresponding to historical video frames of the same moment in the second foreground video and the second background video; and synthesizing the second foreground video and the second background video according to the first video frame features and the second video frame features to obtain the second target video. The video synthesis result of the present disclosure is more realistic, and thus the video matting model is trained based on the video synthesis result, so that the accuracy and efficiency of the video matting model are higher.

The invention discloses a vehicle dynamic control method and device based on a high-precision sensor and a medium, and relates to the technical field of dynamic control, and the method comprises the steps: based on a vehicle dynamic change event, carrying out the analysis through an event-driven control trigger logic in an industrial control architecture, and generating a control trigger instruction set in one-to-one correspondence with the current vehicle dynamic change event, and performing control response on different vehicle dynamic variables in the industrial control architecture in a multi-control channel parallel adjustment mode according to the control trigger instruction set. Performing priority judgment and conflict suppression on the control output of each control channel through a real-time arbitration mechanism to form a unified coordination control instruction; through the control triggering mode based on the vehicle dynamic change event, continuous modeling and fixed period calculation on the vehicle running state are avoided, redundant control calculation is no longer executed when the vehicle dynamic change is not obvious, and the control calculation efficiency is improved.

The invention provides an industrial robot tail end track error compensation method, and relates to the technical field of industrial robot precision control, and the method comprises the steps: employing a genetic simulated annealing algorithm to obtain calibrated kinematics parameters; the vertex of the three-dimensional space grid serves as a datum point of error compensation, the actual Cartesian coordinates of the tail end of the industrial robot at all datum points are obtained, inverse kinematics solution is conducted, and the actual joint angle is obtained; constructing a joint space error database, and calculating the Euclidean distance between the to-be-compensated point and the reference point adjacent to the to-be-compensated point in the joint space; calculating a weight value by adopting an inverse distance weight method; searching a target joint angle error of a reference point adjacent to the to-be-compensated point in a joint space error database, and performing weighted fusion on the target joint angle error based on the weight value to obtain a joint angle compensation amount; the sum of the joint angle compensation amount corresponding to the to-be-compensated point and the theoretical joint angle serves as the optimal joint angle; and the tail end positioning precision and the trajectory tracking precision are obviously improved.

This invention discloses a method for simulating radiated noise signals from a counter-rotating propeller target, comprising: First, setting basic parameters of the counter-rotating propeller target, including simulation time, simulation harmonics, and signal-to-noise ratio (SNR). Second, setting signal parameters of the counter-rotating propeller target under stable navigation conditions, including noise fundamental frequency and frequency fluctuation variance, and setting signal parameters of the counter-rotating propeller target under maneuvering conditions, including maneuvering time and fundamental frequency increment. Third, generating signal frequency curves based on the signal parameters of the counter-rotating propeller target under stable navigation and maneuvering conditions. Fourth, calculating the signal phase point by point based on the counter-rotating propeller target signal frequency curves to generate a simulated counter-rotating propeller noise line spectrum signal. Fifth, adding noise according to the SNR and summing the results to generate a simulated counter-rotating propeller target noise signal. This method can accurately describe the time-varying frequency characteristics under different conditions, ensuring phase continuity and time-frequency consistency.

The invention discloses a lymphedema limb volume measurement data management system and method based on big data, and particularly relates to the technical field of measurement data management. The method comprises the following steps: extracting modal offset characteristic parameters representing measurement physical hypothesis differences, establishing an inter-modal volume offset description relationship, realizing quantitative description of cross-modal volume offset, and carrying out conjoint analysis on the volume offset description relationship and historical follow-up volume change data of a patient to obtain a volume offset result. A systematic volume offset section caused by measurement mode switching can be automatically identified under the condition of no manual intervention, and the systematic volume offset section and a real limb swelling change section are distinguished and marked, so that the confusion of measurement errors and illness state changes is effectively avoided; and a unified volume reference index is established, and a cross-measurement-mode volume mapping and traceable management relationship is constructed.

The application relates to a voice communication method and system of a quantum channel, and provides a voice de-jittering and voice playing integrity processing method of a voice quantum communication system, which can effectively avoid the problem that jitter and discontinuity of voice playing at a receiving end occur due to packet loss caused by channel instability, and can meet the safety of voice communication and the requirement of safe real-time communication of users.

The invention discloses a harmonic radar nonlinear phase compensation method and system based on sparse recovery, and belongs to the technical field of harmonic synthetic aperture radar imaging. The method comprises the following steps: extracting a second harmonic component from a received harmonic echo signal; performing pulse compression by adopting an ideal reference function; randomly extracting a part of pulses from all the pulses, and constructing an observation matrix; parameterized phase fitting is carried out on the extracted pulse, and a nonlinear phase coefficient is estimated; reconstructing a full-aperture time-varying nonlinear phase trajectory through sparse recovery by using the sparsity of a phase coefficient in a transform domain; and finally, constructing a time-varying nonlinear compensation function based on the reconstructed phase, performing frequency domain compensation on the signal, and performing SAR imaging processing to obtain a harmonic synthetic aperture radar image with good focusing. Full-aperture phase reconstruction can be realized only by extracting part of pulses, and the method has the advantages of strong anti-noise capability, capability of processing spectrum distortion, avoidance of segmentation error accumulation, high compensation precision and the like.

This invention discloses a test apparatus for air-lubricated drag reduction ship model testing, comprising: an air supply module; a ship model ventilation module, which is connected to the air supply module, the ship model ventilation module including at least one bottom ventilation unit configured to be detachably mounted on the bottom of the ship model and adapted to the curved surface of the ship model bottom, with a water-sealed structure between the bottom ventilation unit and the bottom of the ship model, the ship model being designed on a scale based on the shape of an actual ship hull; and a monitoring module for acquiring the shape of the bottom of the ship model after ventilation. By setting a detachable bottom ventilation unit adapted to the curved surface of the ship bottom, and in conjunction with a water-sealed structure, the working environment of the air lubrication system of a real ship can be simulated under the premise of geometric similarity, solving the problem that flat plate tests cannot reflect the ventilation effect of curved surfaces; simultaneously, combined with the monitoring module, the distribution and coverage shape of bubbles after ventilation can be visually acquired, providing visual evidence for drag reduction effect evaluation and improving the comprehensiveness and reliability of the test.