28results about How to "Avoid continuity" patented technology

The invention relates to the technical field of water and soil monitoring, in particular to a water and soil loss intelligent monitoring system based on the Internet of Things, which comprises an earth surface remote sensing image data acquisition module for acquiring remote sensing image data covering a monitoring area through a remote sensing satellite; the perturbation perception compensation module is used for repairing data by adopting a compensation mechanism aiming at abnormal fluctuation of the remote sensing image caused by landslide geological disturbance, and specifically comprises a disturbance detection unit and a disturbance area compensation unit; and the disaster tracing module is used for reconstructing a loss path based on the remote sensing image data restored by the perturbation perception compensation module, simulating a diffusion path of water and soil loss and tracing the loss based on the diffusion path. According to the method, water and soil loss prevention and control guidance of the key area is provided, the accuracy and efficiency of water and soil loss tracing are improved, and powerful technical support is provided for source identification and prevention and control decision of water and soil loss.

The invention relates to the technical field of flame cutters, and provides a continuous casting machine steel billet flame cutting ignition device which comprises a supporting frame, a supporting seat, a movement mechanism, two welding mechanisms and a cleaning mechanism, the movement mechanism is used for moving along with a steel billet, the two welding mechanisms are arranged on the movement mechanism, and the cleaning mechanism is arranged on the supporting seat. The two welding mechanisms are oppositely arranged, the welding mechanisms are used for welding steel billets, the two cleaning mechanisms are fixedly arranged on the movement mechanism, the cleaning mechanisms are detachably connected with the welding mechanisms, the cleaning mechanisms are used for cleaning the welding mechanisms, the cleaning mechanisms comprise sealing cabins, the sealing cabins are fixedly arranged on the movement mechanism, and the sealing cabins are detachably connected with the welding mechanisms. And an igniter is fixedly arranged on the side, close to the welding gun, of the sealing cabin and arranged on the side of the sealing assembly, and through the technical scheme, the problem that in the prior art, in the working process of a flame cutting device on an existing continuous casting machine, fuel is wasted too much is solved.

A laser code printing device suitable for a copper pipe fitting comprises a workbench, and an electronic control system is arranged on the workbench; the tool assembly is arranged on the workbench and used for placing a copper pipe fitting; a three-axis transmission assembly; the sliding seat mounting bracket is arranged on the Z-axis linear moving module in a sliding manner, and the sliding seat mounting bracket is provided with a first subarea and a second subarea; the scanning electron microscope, the focusing lens, the laser generator and the range finder are all arranged in the first partition and are in communication connection with the electronic control system; and the code scanning gun is arranged in the second subarea and is in communication connection with the electronic control system. The utility model provides special code printing equipment which is used for producing a copper pipe fitting with a product identification code, and the product identification code can be formed on the frosted rough outer surface of the copper pipe fitting and is clear and easy to identify.

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 invention provides a mobile operation robot continuous motion planning method for multi-target grabbing, and belongs to the technical field of target detection, grabbing and man-machine cooperation interaction of mobile operation robots. According to the method, a kinematic model of the mobile operation robot is established, then an effective parking area is determined, and the area is a circle with each grabbing target point as the circle center and the operation range of a mechanical arm as the radius; and selecting a plurality of candidate stop points on the circle, calculating the shortest path of the robot among the candidate stop points of each target area, and introducing a steering angle constraint to determine an optimal stop point and an access sequence so as to realize efficient continuous motion planning in the multi-target scene. And when the robot reaches the effective parking area of each target, identifying a target object through target detection based on a depth camera. After target detection is completed, the robot can adjust the posture and the position of the mechanical arm according to the detected target position, so that the mechanical arm can smoothly complete grabbing operation in an effective working area.

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 invention discloses a reservoir Z-shaped asphalt concrete reservoir bottom structure and a construction method thereof.The structure comprises a low reservoir bottom face, a high reservoir bottom face and a Z-shaped anti-seepage body connecting the low reservoir bottom face and the high reservoir bottom face, and the Z-shaped anti-seepage body comprises a lower reverse arc face, a slope face and an upslope angle arc face which are sequentially arranged from bottom to top; the construction method comprises the following steps of: 1, leveling a site at the bottom of the warehouse in a zoning manner; 2, determining the gradient ratio of the slope surface of the Z-shaped anti-seepage body; 3, partition construction of the bottom of the reservoir; 4, building a temporary transportation road; fifthly, the Z-shaped anti-seepage body is constructed from bottom to top through the construction equipment set; and 6, dismantling the temporary transportation road. The slope protection structure is additionally arranged on the Z-shaped anti-seepage body to guarantee the construction quality, the conditions of continuous cold joints and non-compact rolling of the upslope angle are avoided through layered and segmented construction of the upslope angle asphalt concrete, the deformation adaptability of the reservoir bottom asphalt concrete is improved, the reservoir bottom cracking risk is reduced, the construction quality and anti-seepage performance of the asphalt concrete are guaranteed, and the construction period is shortened. Meanwhile, a large amount of excavation and filling are reduced, and the construction period is prolonged.

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 application belongs to the technical field of power system optimization, and provides a power system reactive power optimization method and system based on adaptive power flow calculation, which comprises the following steps: obtaining power system adaptive power flow equations considering the complementary constraints of generator reactive power output and generator node voltage; constructing an iterative convergence criterion and a power system reactive power optimization model based on the obtained power system adaptive power flow equations; judging whether the obtained power system adaptive power flow equations converge according to the constructed iterative convergence criterion; when the adaptive power flow equations converge, solving the constructed power system reactive power optimization model by using a variable ternarization dream optimization algorithm to obtain power system optimization control variables; substituting the obtained optimization control variables into the obtained adaptive power flow equations, repeatedly iterating and solving until the optimal control variables of the power system are obtained, and completing the power system reactive power optimization based on adaptive power flow calculation.

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 relates to a ceramic-containing multilayer structure and a forming method, in particular to a prefabricated body of a blade rotating shaft of a turbine rotor made of a ceramic matrix composite material and a forming method, and aims to solve the technical problems of forming process limitation, structural layering and insufficient mechanical property when a current CMC material is applied to an aero-engine rotor blade rotating shaft. The prefabricated body of the blade rotating shaft of the ceramic matrix composite turbine rotor comprises a continuous layer assembly used for supporting, and a blade end reinforcing layer assembly and a rotating shaft end reinforcing layer assembly which are used for reinforcing, by means of the multi-layer design, stress concentration generated by a single material or a single-layer structure is reduced, and the risk of interlayer cracking is effectively reduced by reasonably distributing the thickness and the position of each layer of material.

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.

According to the power supply switching control circuit and the control method, connection and disconnection of a first power supply and electric equipment are controlled through a first switch module connected between the first power supply and the electric equipment; through a second switch module connected between the second power supply and the electric equipment, the connection and disconnection of the second power supply and the electric equipment are controlled; the control module is connected with the first power supply and the second power supply to detect the working states of the first power supply and the second power supply, and when the working states of the first power supply and the second power supply are normal, the signal delay maximum values of the first power supply and the second power supply are detected in real time; and adjusting the alternate switching time interval of the first switch module and the second switch module, and controlling the first switch module and the second switch module to be switched on in turn based on the adjusted alternate switching time interval. The objective of the invention is to solve the problem of transient power supply interruption caused by fluctuation of signal delay in a traditional technical scheme and ensure stable operation of equipment.

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 utility model relates to the technical field of precast concrete members, and discloses a concrete spreader and a production line of concrete members, which have better spreading continuity and uniformity. The concrete spreader comprises a rack, a distributing hopper supported on the rack, a feeding device arranged at the bottom of the distributing hopper and a discharging hopper. Specifically, an opening is formed in the bottom of the material distribution hopper; the feeding device comprises a feeding shell and a feeding shaft arranged in the feeding shell, spiral blades are arranged on the peripheral side of the feeding shaft, the feeding shell is provided with a feeding inlet and a feeding outlet, and the feeding inlet is communicated with the opening. Furthermore, the discharging hopper is suitable for storing concrete and provided with a feeding port and a discharging port which are communicated, the feeding port is communicated with the feeding outlet, the opening direction of the discharging port faces downwards, a switch structure is correspondingly arranged at the discharging port, and the switch structure is suitable for opening or closing the discharging port.

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.