27 results about "Initial curve" patented technology

The application discloses a roll shape determination method, determines a roll surface initial curve; adopts a high-order reverse curve to perform edge processing on the initial curve to obtain a smooth superimposed curve; determines a slope curve on an operation side, connects the slope curve with the smooth superimposed curve to form a slope body combined curve; and performs fitting smoothing on the slope body combined curve to obtain a roll shape curve. The roll shape determination method provided by the application adopts high-order edge superimposed smoothing, conical design, curve intercepting combination, final smoothing and control rack use on the basis of the initial curve, guarantees the conical roll to reduce the edge drop effect, considers the body crown control at the same time, controls the middle wave problem, improves the profile quality and rolling stability, and provides strong support for super flat material rolling. The cost is not increased, and the existing process is not changed.

The invention relates to a photovoltaic prediction method and system fusing historical and real-time photovoltaic curves, and the method comprises the steps: collecting related photovoltaic data, including historical photovoltaic data, historical weather data and real-time photovoltaic data; fitting the historical photovoltaic data and the real-time photovoltaic data into a corresponding curve; taking the related photovoltaic data as a training set to train a weather encoder to obtain an optimal weather parameter matrix; extracting a plurality of characteristic curves from the historical photovoltaic curve obtained by fitting; performing weighted calculation on the plurality of characteristic curves based on the trust weight to obtain an initial curve; correcting the initial curve by taking the optimal weather parameter matrix as a scaling factor; and splicing the corrected initial curve and the real-time photovoltaic curve obtained by fitting to obtain a final photovoltaic prediction curve.

This application provides a Saber-based inverter simulation method, which includes: generating an initial simulation test circuit; performing time-domain simulation based on the initial simulation test circuit to obtain the total loss, switching loss, and conduction loss of the power device model; transforming the initial simulation test circuit to obtain a replacement simulation test circuit, and performing sensitivity testing on the obtained replacement simulation test circuit based on the total loss, switching loss, and conduction loss of the power device model to obtain the sensitivity of each initial curve; and adjusting the power device design based on the obtained total loss, switching loss, conduction loss of the power device model, and the sensitivity of each original curve. This method can guide the design of power devices and other parameters in the circuit, effectively improving R&D efficiency and quickly achieving the goals of improving inverter efficiency, reducing losses, and meeting system efficiency requirements.

The invention discloses a borehole fracture plane feature extraction method, system, equipment and medium, and relates to the technical field of mineral engineering, and the method comprises the steps: collecting and processing a borehole imaging expansion view, and obtaining a binary fracture image; extracting a connected domain of the binarized crack image; the axial coordinate of the mass center of each connected domain is obtained, and the connected domains with the spatial positions within the threshold value are aggregated to serve as fracture instances; taking all pixel points of the actual outer contour of the fracture as observation values, performing preliminary sine curve fitting to obtain an initial curve, calculating distances from all the pixel points in each connected domain to the initial curve, and taking the connected domain with deviation greater than a threshold value as an abnormal block to remove; and carrying out sine curve fitting again by utilizing the pixel points left after elimination, and finally extracting various parameters of the crack instance. According to the method, parameter deviation caused by direct fitting is avoided, and the accuracy and stability of extraction of key geometric parameters such as amplitude and period are remarkably improved.

The invention provides a new energy output curve generation method and system, and relates to the technical field of new energy power generation and power system planning. The method comprises the steps of constructing a new energy output characteristic evaluation system, based on historical new energy data, adopting a Markov chain to divide M time state intervals, adopting a Monte Carlo method to divide R longitudinal output intervals, and extracting data to generate an initial curve; and after correction in a wet season and a dry season, performing cyclic screening according to a set constraint condition, and outputting a curve conforming to a multi-time-dimension feature and an extreme scene. The system corresponds to the method. By the adoption of the method, the annual scale curve can be generated only through historical data without depending on meteorological data or massive historical samples, the problems that in the prior art, a scheduling method is not matched in time scale and insufficient in historical sample size are solved, and a reliable data boundary is provided for new energy installation planning and energy storage facility design.

Embodiments of the present disclosure provide a method, device, electronic equipment and storage medium for visualizing and presenting while-drilling telemetry decoding data, wherein the method for visualizing and presenting while-drilling telemetry decoding data comprises: drawing an initial curve of each type of target while-drilling telemetry decoding data according to a classification result of a plurality of acquired target while-drilling telemetry decoding data; determining a calibration gray value of each point in the initial curve of each type of target while-drilling telemetry decoding data based on a preset calibration rule; re-coloring the corresponding points by using the calibration gray value based on a correspondence between the points in the initial curve of each type of target while-drilling telemetry decoding data and the calibration gray value; and pushing the initial curve of each type of target while-drilling telemetry decoding data after re-coloring to a user terminal. By using the method of the present disclosure, the simultaneous display of parameter values and accuracy values in while-drilling telemetry decoding data can be achieved, thereby providing better visual effects for drilling exploitation sites or subsequent research.

The application discloses a superconducting wire critical current data processing method and a data automatic processing system, and relates to the technical field of superconducting wire critical current measurement. The method comprises the following steps: obtaining superconducting wire U-I measurement data, and generating an initial U-I curve; determining a background voltage linear data segment according to the initial U-I curve and performing fitting to generate a background function straight line; subtracting the background function straight line from the initial U-I curve to obtain a background-subtracted U-I curve; and obtaining an electric field criterion critical current, a resistivity criterion critical current and a superconducting normal transition index based on the background-subtracted U-I curve. The application generates a background function straight line, subtracts the background function straight line from the initial U-I curve, obtains an electric field criterion critical current, a resistivity criterion critical current and a superconducting normal transition index based on the background-subtracted U-I curve, and improves the accuracy and data processing efficiency of critical current data processing.

A water quality testing method, device, product and medium relate to the field of water quality detection, and the method comprises the following steps: obtaining a database containing absorbance data of standard samples with different concentrations, and establishing a type set comprising linear, index and logarithmic fitting curves; selecting an initial curve type based on historical fitting precision, and establishing decision parameters including a wavelength selection coefficient and a goodness-of-fit threshold; performing fitting operation according to the decision parameter to obtain a first fitting result and calculating a relative error; when the error exceeds a preset range, adjusting parameters and trying other curve types until the requirements are met, and obtaining a target fitting curve; and substituting absorbance data of a water sample to be detected into the target fitting curve to obtain a water quality parameter concentration value. By implementing the method, the measurement accuracy of water samples in different concentration ranges can be improved.

The invention discloses a special contour curved surface design method for a variable-diameter wheel, and relates to the technical field of variable-diameter wheels, and the method comprises the following steps: establishing a variable-diameter wheel structure model, and setting the radius of a hub and the length of a curved surface connecting rod; establishing a three-dimensional coordinate system by taking the collinear position of the curved surface connecting rod and the hub as an initial position; in the three-dimensional coordinate system, an initial curve of the special contour curved surface is established; performing curved surface equation derivation by using a geometrical relationship, and calculating an expression of any point on the special contour curved surface to obtain a curved surface three-dimensional structure diagram; and repeating the previous step at each rotation angle to obtain a complete special contour curved surface maintaining the circular outer contour. According to the design method for the special contour curved surface for the variable-diameter wheel, the special contour curved surface is obtained through calculation of the geometrical relationship of the simplified structure, and the curved surface can ensure that the outer contour line of the curved surface can keep the contour line to be a complete circle at different positions; the movement stability of the variable-diameter wheel can be improved when the variable-diameter wheel moves and is folded and unfolded at the same time.

The invention provides an optimization method and device of a transient impact structure and a storage medium, and belongs to the field of mechanical design, and the method comprises the steps: carrying out the modeling according to a preset overall structure cell external size of the transient impact structure and a preset curve, and obtaining a cell model of the transient impact structure; performing analogue simulation on the cell element model, and training a preset initial curve model according to the obtained feature data set to obtain a target curve model; and inputting the randomly generated cell structure into the target curve model, carrying out iterative evolution on the cell structure according to the obtained simulation response curve and a preset optimization target, and optimizing the transient impact structure according to the strain response curve corresponding to the cell structure. According to the scheme provided by the invention, through local control and smooth characteristics of the B spline curve, wide structural design can be promoted through minimum control parameters, and the universality and generalization capability of designing the transient impact structure are ensured.

The invention provides an online correction method and system for an underground supercritical carbon dioxide venturi tube flowmeter. The online correction method comprises the steps that an initial curve of underground correction is obtained; a corrected zero drift value is obtained, and zero calibration is completed; performing flow coefficient correction on each to-be-corrected well layer of the target well, specifically, keeping a non-detection well layer closed, injecting supercritical carbon dioxide into the to-be-corrected well layer from the ground, and collecting fluid pressure and temperature data; the fluid density and expansion coefficient are calculated through a state equation or an NIST database, the first underground flow is calculated in combination with the outflow coefficient curve, and error comparison is conducted on the first underground flow and the ground injection flow; and if the error exceeds the preset range, calling a corresponding outflow coefficient based on the interval where the Reynolds number is located through an iteration method, and recalculating the second flow until the difference value of the two times of flow calculation meets the precision requirement. On-line and high-precision correction of the downhole flowmeter is achieved, and the measurement accuracy of the supercritical carbon dioxide injection flow is remarkably improved.

The application discloses a segmented smooth interpolation method and device based on DLG contour lines and a computer readable storage medium, belongs to the field of geographic information technology, and can generate an interpolated initial curve conforming to actual geographic conditions. The method comprises the following steps: selecting adjacent count curves A and B, setting equal-length trend step points on the count curves A and B at a trend step length s, constructing a line-in-triangle network between the count curves A and B, optimizing Z-shaped line clusters, performing segmented processing, interpolating across line segments, and generating an initial curve C. The application improves operation efficiency and smoothness by segmenting the count curves according to the trend and performing smooth interpolation on the segmented areas. The application has a clever concept, fully excavates feature points in geographic information, conforms to actual geographic characteristics, generates smooth and beautiful interpolated initial curves, and has a high running efficiency when the method is loaded on a computer and runs, and has a wide application prospect.

The present invention discloses a method for adjusting dose parameters, comprising the following steps: Step 1, using TPS to obtain an initial DVH curve of a target area and an organ at risk; Step 2, performing a functional transformation on the obtained DVH curve: performing a feature transformation on the DVH curve; the feature transformation comprises the following two steps: Step 21, reducing the dimension of the functional data using a basis expansion method; Step 22, integrating the data after the dimension reduction process; Step 3, learning the distribution of execution actions through a neural network; Step 4, establishing a reinforcement learning model: using the obtained feature vector as the input of the reinforcement learning model for training, ultimately completing the decision-making process, and obtaining a series of output actions. The present invention first performs a feature transformation on the DVH curve, and then uses the transformed vector as the input of the reinforcement learning model, so that the feature information in the DVH curve is fully mined, thereby improving the accuracy of dose adjustment.

The application discloses a multi-row gas film cooling efficiency superposition prediction method based on discrete Fourier transform, and belongs to the field of thermal protection of high-temperature components of an aero-engine. The method firstly acquires the geometric and aerodynamic parameters of a gas film hole and a single-row hole cooling efficiency curve, and calculates an initial superposition curve based on a Sellers formula; then the initial curve and working condition parameters are input into a pre-trained three-branch neural network model, wherein a time domain branch extracts time domain features through a convolution network, a frequency domain branch performs discrete Fourier transform on the curve to extract frequency domain features, and a residual branch extracts residual correction features; finally, the three features are fused to output a high-precision prediction curve. The application introduces discrete Fourier transform to extract physical priori, and combines a three-branch network structure, so that the defects of low precision, poor generalization and dependence on large data of a pure data-driven model are effectively overcome, and high-precision and strong extrapolation prediction of the cooling efficiency of the multi-row gas film is realized under limited samples.

This invention relates to the field of control, and in particular to a method and system for power regulation of a cotton harvester using multi-source data fusion. The method includes: constructing a multi-dimensional operational scenario state vector; inputting the state vector into a forward prediction model to generate an initial power demand curve; training a reverse correction model using historical data and actual power consumption; outputting an error gradient vector and calculating a prediction deviation scalar; correcting the initial curve based on the error gradient to obtain a corrected power demand curve; generating an initial power allocation scheme for the drive, harvesting, and cleaning systems; iteratively adjusting the power ratio of harvesting and cleaning when the overlap between the operating frequency and mechanical resonance frequency of the initial scheme exceeds a threshold; recording the vibration damping adjustment cost until the overlap reaches the target; calculating the system's basic confidence level based on the sensor data dispersion and cross-correlation; fusing the vibration damping adjustment cost function value to generate the system confidence level; adjusting the power allocation scheme accordingly; and outputting execution commands.

The present disclosure relates to the technical field of environment perception, and provides a double-circle landmark-based extrinsic parameter calibration method, device and equipment. The method comprises: fitting a double-ellipse initial curve according to a camera shooting image; obtaining a double-ellipse optimized curve by using a consistency constraint condition, and determining two-dimensional feature points containing a tangent point and a circle center projection image according to the double-ellipse optimized curve; obtaining landmark feature points of two target circular landmarks; determining extrinsic parameters between cameras based on the two-dimensional feature points and the landmark feature points; transforming the landmark feature points to a laser radar coordinate system to obtain three-dimensional feature points conforming to internal consistency; determining extrinsic parameters between the camera and the laser radar based on the two-dimensional feature points and the three-dimensional feature points; and determining extrinsic parameters between the laser radars based on the three-dimensional feature points. The technical scheme provided by one or more embodiments of the present disclosure can achieve high-precision extrinsic parameter calibration between the cameras and between the camera and the laser radar.

This application provides an evaluation method for curve mask process correction based on SEM image contour extraction. The method includes: acquiring an initial curve pattern and its corresponding standard SEM image contour; constructing a simulation prediction model using a machine learning model based on the initial curve pattern and the standard SEM image contour; obtaining a corrected curve pattern of the initial curve pattern using a curve mask method, and extracting the corrected SEM image contour corresponding to the corrected curve pattern; inputting the corrected curve pattern into the simulation prediction model to generate a corrected simulation image of the corrected curve pattern; calculating the correction difference value between the corrected SEM image contour, the initial curve pattern, and the corrected simulation image; and analyzing the correction difference value to obtain a correction evaluation result. This application can more comprehensively and objectively reflect the contour accuracy and stability after curve mask process correction.

The invention relates to the technical field of environmental perception, and provides an external parameter calibration method, device and equipment based on a double-circle mark, and the method comprises the steps: carrying out the fitting of a double-ellipse initial curve according to an image shot by a camera; obtaining a double-ellipse optimization curve by using a consistency constraint condition, and determining a two-dimensional feature point containing a tangent point and a circle center projection image according to the double-ellipse optimization curve; obtaining mark feature points of the two target circular marks; based on the two-dimensional feature points and the mark feature points, external parameters between the cameras are determined; transforming the mark feature points to a laser radar coordinate system to obtain three-dimensional feature points conforming to internal consistency; based on the two-dimensional feature points and the three-dimensional feature points, external parameters between the camera and the laser radar are determined; and based on the three-dimensional feature points, external parameters among the laser radars are determined. According to the technical scheme provided by one or more embodiments of the invention, external parameter calibration between cameras and between the camera and the laser radar can be realized with high precision.

The invention relates to the technical field of oil field production, and provides an oil well pump underground indicator diagram inflection point identification method, device and equipment and a medium. The method comprises the steps that pre-acquired initial curve data of an underground indicator diagram are preprocessed; determining a first derivative and a second derivative of the curve data with respect to time; obtaining a curvature change rate based on the first-order derivative and the second-order derivative; and stroke division is conducted, multiple target points in the up stroke and the down stroke are obtained according to preset interval points, screening is conducted according to the curvature change rate and the load change amount, and an up stroke inflection point and a down stroke inflection point are obtained. According to the method, the first-order derivative and the second-order derivative of the curve data about time are determined, the curvature change rate and the load change quantity serve as double screening indexes of the inflection points, and the inflection point recognition precision is improved. The curvature change rate is obtained based on the first-order derivative and the second-order derivative without depending on front and back points, the curvature change rate can be calculated for curve data generated in real time, and the instantaneity and accuracy of inflection point capture are improved.

The application discloses a curved surface adaptive polishing method and device, equipment and readable storage medium, comprising: scanning a workpiece to be polished, and constructing an initial curve model; planning an initial polishing track based on the initial curve model; controlling a robot to polish the workpiece to be polished based on the initial polishing track and preset initial polishing parameters, wherein the initial polishing parameters comprise a normal force target value and a feed speed; acquiring visual features, force sensation features and auditory features in a polishing process in real time; obtaining fusion features based on the visual features, the force sensation features and the auditory features; adjusting the normal force target value, the feed speed and the polishing track in real time based on the fusion features; returning to execute the step of controlling the robot to polish the workpiece to be polished until polishing is completed. The application adjusts the normal force target value, the feed speed and the polishing track in the polishing process by acquiring the visual features, the force sensation features and the auditory features in real time, so that the robot realizes curved surface adaptive polishing.

The application provides a self-learning method and device of a clutch, a storage medium and a processor. The self-learning method comprises: in the case of receiving a clutch self-learning instruction, based on a plurality of preset current values, sampling the clutch pressure values corresponding to each preset current value, wherein the plurality of preset current values comprise a plurality of preset current values in a first stage and a plurality of preset current values in a second stage; based on the plurality of preset current values and the clutch pressure values corresponding to each preset current value, determining a target P2C curve; in the case that the similarity between the target P2C curve and an initial P2C curve is greater than a first predetermined value, determining the pressure hysteresis values corresponding to each preset current value in the first stage, and based on the clutch pressure values corresponding to each preset current value in the first stage and the pressure hysteresis values, calibrating the vehicle, thereby solving the problem that the determined current value of the clutch is relatively inaccurate due to the inconsistency of mechanical components in the prior art.

The application provides a wall double-unknown thermal parameter inversion method and system based on a physical neural network, and belongs to the technical field of building energy saving, and comprises the following steps: obtaining relevant environmental parameters and infrared image data of a wall to be measured at an inversion moment; inputting the infrared image data into a convolutional neural network model to obtain temperature field information of an outer wall surface of the wall to be measured; setting an initial curve of an inner wall surface temperature based on the smooth characteristics and moderate lagging effect of indoor air temperature, and giving an initial value of a heat conductivity coefficient; jointly constructing a physical neural network model according to the Fourier heat conduction law and the boundary conditions of inner and outer surface convective heat exchange; inputting the relevant environmental parameters and the temperature field information of the outer wall surface into the physical neural network model to perform forward solving to obtain the heat transfer coefficient of the wall to be measured and the inner wall surface temperature. The application can obtain stable and reliable wall heat conductivity coefficients and inner wall surface temperatures.

The invention provides a wall double-unknown thermal parameter inversion method and system based on a physical neural network, and belongs to the technical field of building energy conservation, and the method comprises the steps: obtaining related environment parameters and infrared image data of a to-be-detected wall at an inversion moment; inputting the infrared image data into a convolutional neural network model to obtain temperature field information of the outer wall surface of the to-be-measured wall; setting an initial curve of the temperature of the inner wall surface based on the smooth characteristic and the moderate hysteresis effect of the indoor air temperature, and giving an initial value of a heat conductivity coefficient; jointly constructing a physical neural network model according to a Fourier heat conduction law and inner and outer surface convective heat transfer boundary conditions; and inputting the related environmental parameters and the temperature field information of the outer wall surface into the physical neural network model, and carrying out forward solution to obtain the heat transfer coefficient and the inner wall surface temperature of the to-be-measured wall body. According to the invention, stable and reliable wall heat conductivity coefficient and inner wall surface temperature can be obtained.

The invention relates to a technology life cycle identification method, system and device based on technology big data and a medium, and the method comprises the steps: collecting initial multi-source data, classifying the initial multi-source data according to technology categories, obtaining multi-source data, and determining the field attribute of each category of technology and the annual quality index of each piece of data based on the multi-source data; acquiring identification characteristic parameters for each domain attribute, wherein the identification characteristic parameters comprise quality sensitivity and a periodic conversion coefficient; calculating an annual quality weight based on the quality sensitivity and the annual quality index; for each technology, performing S curve fitting based on the annual quality weight to obtain an initial S curve model and obtain core parameters; based on the core parameter and the cycle conversion coefficient, performing domain adaptive cycle life cycle threshold calculation, based on the cycle life cycle threshold, obtaining a stage node, and drawing a life cycle curve; the system, the equipment and the medium are used for implementing the method. Compared with the prior art, the life cycle identification method can realize accurate life cycle identification in any different technical fields.

The invention relates to a biochemical analyzer and a detection data processing method thereof, which are applied to detection items adopting a rate method.The method comprises the steps that an initial curve of absorbance of a target sample along with time change is obtained; performing linear fitting on the initial curve to obtain a corresponding fitting curve, and determining a judgment coefficient of the fitting curve; when the judgment coefficient is greater than or equal to the target value, determining a detection result of the target sample according to the initial curve; when the judgment coefficient is smaller than a target value, inputting the initial curve into a pre-trained abnormal condition detection model, and determining an abnormal type; and when substrate depletion occurs, performing substrate depletion correction on the initial curve, and determining a detection result of the target sample according to the corrected reaction curve. And targeted correction is performed on the reaction curve with relatively poor linear degree according to the abnormal type, so that the accuracy of a detection result is improved.

The application discloses a curve target identification method and system based on road information and a terminal device, and the method comprises the following steps: according to the obtained current vehicle speed information, the current curve radius is obtained by performing radius prediction through an initial curve radius; the current curve radius is fused with the current vehicle speed information to obtain a longitudinal distance threshold; and based on a preset judgment condition and the longitudinal distance threshold, the curve target identification is performed through the obtained vehicle driving information, and a front following target of the vehicle is identified. The application can accurately identify the following target of the side lane by predicting the curve radius where the current vehicle is located, and improve the driving safety and the driving experience.

The present disclosure provides an image shape deformation method, device, equipment, medium and program product. The image shape deformation method comprises: determining an initial curve cage surrounding the shape of an obtained initial image; performing inverse coordinate mapping processing on the initial image based on an intermediate boundary cage for the initial curve cage, to map the initial image from the initial curve cage to the intermediate boundary cage, to obtain an intermediate image; and performing coordinate mapping processing on the intermediate image based on a target curve cage, to map the intermediate image from the intermediate boundary cage to the target curve cage, to obtain a target image, wherein the target curve cage is used to control shape deformation of the initial image.