11results about How to "Comprehensive parameters" patented technology

The invention discloses a design optimization method for an oscillating water column wave energy device, and belongs to the technical field of ocean wave energy utilization, and the method comprises the following specific steps: S1, determining modeling parameters of a to-be-optimized device, and carrying out the parametric modeling of the wave energy device, so as to obtain the parametric modeling of the wave energy device; s2, selecting an air chamber width in the modeling parameters as a target optimization parameter, and setting other modeling parameters as constants, S3, inputting parameterized modeling in fluid mechanics software, calculating an air pressure value P1 (t) and a gas flow velocity value V (t) of the corresponding wave energy device, and forming a discrete point group; s4, fitting the discrete point group, and constructing an agent model; and S5, carrying out final optimization design by using the proxy model. By adopting the method, a multi-parameter and multi-target optimization scene can be met, and a new method is provided for design optimization of a wave energy device.

The invention discloses a runoff process correction method coupling machine learning and a physical process model, and belongs to the technical field of hydrological forecasting, and the method comprises the following steps: collecting historical hydrometeorological data of a research area, examining the reliability, consistency and representativeness of the data, and carrying out the normalization processing to obtain a normalized sample; constructing a coupling model; and on the basis of the trained coupling model, watershed runoff forecasting is carried out by adopting hydro-meteorological data. According to the method, the physical process model and the machine learning model are coupled, the runoff production stage and the confluence stage in the runoff forming process are corrected through the machine learning model, the runoff simulation precision is improved, and the method has great significance in improving the drainage basin runoff simulation precision and achieving efficient management of water resources; and the runoff forecasting precision of the drainage basin and the physical consistency of the correction process are improved.

The utility model discloses a robot test track, which relates to the field of tracks, and aims to solve the problems of simple structure, low test efficiency, incomplete parameter coverage and insufficient dynamic adaptability of the conventional robot test track, and comprises a low-rail support frame, a connecting beam is fixedly connected to one side of the low-rail support frame, and a high-rail support frame is fixedly connected to the other end of the connecting beam. The low-rail supporting frame and the high-rail supporting frame are fixedly connected with semi-ring rails, one sides of the two semi-ring rails are jointly connected with a low-gradient rail, the other ends of the two semi-ring rails are jointly connected with a high-gradient rail, and the cross sections of the semi-ring rails, the low-gradient rail and the high-gradient rail are all of an I-shaped structure. The two semi-ring tracks, the low-gradient track and the high-gradient track form a closed-loop structure. The comprehensive testing device has the advantages that the comprehensive testing on the turning radius and different climbing gradients is realized; meanwhile, by adjusting the lengths of the high-gradient track and the low-gradient track, the gradient of the tracks can be adjusted, so that the trafficability of the robot on different gradients can be conveniently tested.

The invention discloses an automatic dependent surveillance target reduction method based on target quantity sliding window detection, relates to the technical field of air traffic data monitoring, and comprises the following steps: obtaining an ADS-B message of a target; preprocessing the ADS-B message, extracting and caching an ICAO address and structured message data in the ADS-B message in a message receiving cycle to form a key-value pair, wherein the key is the ICAO address and the value is the structured message data; storing and performing track calculation on the ADS-B message; taking out all ICAO addresses in the current detection window, performing deduplication and statistical operations to obtain the number of ICAO addresses, and adjusting decoding sensitivity according to the number of target ICAO addresses, thereby completing target reduction; the invention can dynamically adjust the sensitivity to limit the receiving distance, and has the advantages of fast response speed and wide applicable equipment types.

The present invention discloses a test device and method for determining the hydraulic gradient of seepage failure of a dislocation zone by a one-way flow in-situ test, aiming to overcome the shortcomings of the existing technical solutions for determining the hydraulic gradient of seepage failure of a dislocation zone, and provides a method for determining the hydraulic gradient of seepage failure of a dislocation zone based on the one-way flow in-situ test device and the analytical solution of the non-steady flow formula in the dislocation zone under the condition of step boundary head. The device includes a water inlet tank, a water outlet tank, a pressure measuring tube, a pressure gauge and a water injection pressurizing device. The method steps include selecting a suitable test point in an on-site flat tunnel to form an in-situ sample; conducting an on-site test to record flow data and damage sign time; obtaining the permeability parameters of the dislocation zone based on the test data; and calculating the hydraulic gradient of seepage failure of the dislocation zone.

The invention discloses a magnetocardiogram distribution parameter extraction method and system. The magnetocardiogram distribution parameter extraction method comprises the steps that magnetic field diagrams of z moments in a magnetocardiogram TT section are obtained; determining a value line p of anode distribution at the position of M pixels from the right side of the magnetic field graph i (i < = z), and calculating the Srgb-p, j value of each pixel on the value line p; determining a negative electrode distribution value line n at the position of N pixels away from the left side of the magnetic field diagram i, and calculating the Srgb-n, j value of each pixel on the value line n; calculating distribution parameters of the magnetic field diagram i according to the Srgb-p, j and Srgb-n, j values of each pixel on the value lines p and n of the magnetic field diagram i; and calculating magnetocardiogram distribution parameters according to the magnetic field diagram distribution parameters at the z moments. The extracted distribution parameters can well represent pole distribution information in the magnetic field diagram, and the prediction performance of the model can be effectively improved by applying the distribution parameters to the coronary artery blockage degree evaluation method based on the magnetocardiogram.

The invention discloses a method for determining a blood flow form, an ultrasonic device and a computer storage medium. The method comprises: emitting an ultrasound beam in at least two directions towards a target region comprising a blood vessel (S1101); receiving the returned ultrasonic echo to obtain an ultrasonic echo signal along each of the at least two directions (S1102); determining a velocity component of the velocity of the blood flow in the blood vessel in each direction from the ultrasonic echo signal in each direction (S1103); determining a vector velocity of the blood flow according to the velocity component in each direction (S1104); determining the form of the blood flow in the blood vessel according to the vector velocity (S140); and displaying the form of the blood flow in the blood vessel (S103). Therefore, according to the embodiment of the invention, the blood flow form can be determined based on the blood flow speed, especially the vector speed of the blood flow, the actual condition of the blood flow can be reflected, richer reference parameters are provided for hemodynamics research, and a more accurate basis is provided for subsequent blood flow form analysis.

This invention relates to the field of underwater positioning technology, specifically to an AUV cooperative positioning method based on generalized maximum correlation entropy and capacitive Kalman filtering (CKF) that can effectively improve positioning accuracy. This invention employs GMCC and introduces a generalized Gaussian density kernel function to measure the error of the nonlinear filtering algorithm using generalized correlation entropy. The generalized Gaussian kernel function has the advantages of having many parameters, flexible variation, and adaptability. It can achieve the maximum correlation entropy when the error is minimized. Because the generalized Gaussian kernel contains even-order higher moments of the errors of two variables, it can better handle heavy-tailed noise and large outliers. Experimental verification shows that the technical solution of this invention has better robustness and reliability, and can better handle problems such as outliers and heavy-tailed noise interference. Compared with the traditional CKF, this invention can improve positioning accuracy.

An improved ResNet50V2-based dual-laser micro-displacement distance measuring device belongs to the technical field of micro-displacement distance measuring, and is composed of a bottom plate, a lifting displacement adjusting mechanism, a horizontal displacement adjusting mechanism, a vertical displacement adjusting mechanism, a horizontal displacement adjusting mechanism and a horizontal displacement adjusting mechanism, the CCD imaging assembly consists of a CCD camera, a horizontal displacement adjusting mechanism and a lifting displacement adjusting mechanism, the tested sample block assembly consists of a tested sample block and a horizontal displacement adjusting mechanism, and the spectroscope assembly consists of a spectroscope and a lifting displacement adjusting mechanism and is arranged between the CCD imaging assembly and the tested sample block assembly; and the laser is arranged on the side surface of the spectroscope assembly and is used for emitting laser beams. The device is simple in composition structure, only needs to finely adjust the measured object in the measurement process, is convenient to operate, can accurately obtain a high-resolution picture of the micrometric displacement of the measured object, and can further improve the vision measurement precision.

The embodiment of the application provides a kind of permanent magnet synchronous motor rotor temperature real-time measurement method and related equipment, to improve the accuracy of permanent magnet synchronous motor rotor temperature real-time measurement, method includes: obtaining E0, E0 is initial temperature T0, permanent magnet synchronous motor under constant speed and no-load operation under real counter electromotive force line voltage value;Obtain E2, E2 is initial temperature T0, permanent magnet synchronous motor under constant speed and constant load operation under frequency converter reading counter electromotive force line voltage value;Frequency converter is read using E3, E3 is current temperature T1, permanent magnet synchronous motor under constant speed and constant load operation under frequency converter reading counter electromotive force line voltage value;According to preset formula, using E0, E2 and E3 calculate the current temperature T1 of the rotor of permanent magnet synchronous motor.The embodiment of the application can realize the real-time measurement of permanent magnet synchronous motor rotor temperature, and measurement result accuracy is high.

This invention provides a multi-turn silver nanoring and its preparation method, belonging to the field of metal nanomaterial preparation technology. The invention first mixes a polyvinylpyrrolidone (PVP) glycol solution with pyridine to obtain a mixed solution; then, the mixed solution, a sodium halide glycol solution, silver nitrate, and sodium nitrate are mixed, followed by a solvothermal reaction and precipitation separation to obtain multi-turn silver nanorings. The method for preparing multi-turn silver nanorings is simple, easy to implement, has good reproducibility, and high yield. During the preparation process, the addition of the organic solvent pyridine enables the silver nanowires to bend and grow significantly to form multi-turn silver nanorings.