82results about How to "Proof of correctness" patented technology

The invention discloses a control method of the DC bus voltage of cascading multi-level power quality conditioners. The control method is verified by simulation through a simulink module in a MATLAB (Matrix Laboratory), meanwhile, a small experimental prototype with the capacity of 30 kVA and formed by connecting two single-phase full bridge unit modules in series is set up in the laboratory, and the control method is verified by experiments. Both simulation results and experiment results can verify that the control method can well stabilize the DC side voltage of the single-phase full bridge unit modules to equal to a given value, increase the utilization rate of the DC bus voltage and provide a good reference value for engineering application.

The invention discloses a hardware-in-the-loop (HIL) real-time simulation platform of a permanent magnet linear synchronous motor. The HIL real-time simulation platform comprises a personal computer (PC) connected with the Ethernet, a controller simulation hardware platform, and a simulator simulation hardware platform, wherein the simulator simulation hardware platform includes a linear motor simulator connected with the Ethernet, as well as a first high-speed digital collection card and a high-speed analog output card connected with the linear motor simulator; and the controller simulation hardware platform includes a linear motor controller connected with the Ethernet, as well as a second high-speed digital collection card, a first analog collection card and a second analog collection card connected with the linear motor controller. The HIL real-time simulation platform can rapidly and accurately track the given position and speed signals with the micrometer-level precision, and can on-line regulate the controller parameter and the linear motor loads.

The invention provides a rapid forward modeling method for a three-dimensional gravity field under a spherical coordinate system. The method comprises the following steps: dividing a forward kernel matrix into a plurality of Toplite sub-matrixes; adopting the frequency domain FFT rapid calculation for partitioning, performing accumulation summation, and converting the time-consuming matrix-vectorproduct operation into a summation operation, so the calculation time of a kernel matrix in forward modeling is shortened, the repetitive calculation efficiency of multiplication of the kernel matrixand a density vector is improved, and the overall efficiency of forward modeling calculation is improved. According to the method, a special subdivision mode is adopted, all kernel matrix elements donot need to be calculated any more, only the kernel matrix elements generated by the first column of tesseroid unit bodies of the underground field source need to be calculated, values of other elements are mapped out through the equivalent relation, the calculation cost of the kernel matrix is greatly reduced, and meanwhile occupation of a memory is reduced. The invention further provides an inversion method which is combined with the forward modeling method, a large Jacobian matrix does not need to be stored, only a final matrix needs to be stored, and the calculation and storage of intermediate variables are reduced.

The invention relates to a heavy double-column vertical lathe cross beam gravity deformation prediction method based on a finite difference method. Due to the fact that an existing finite element analysis computing method cannot accurately calculate a cross beam gravity deformation curve on the condition that actual materials have not uniform attributes, the calculation result much differs from an actual deformation value. The heavy double-column vertical lathe cross beam gravity deformation prediction method based on the finite difference method comprises the steps that actual assembling conditions are simulated to design a heavy machine tool cross beam self-weight deformation experiment to obtain a self-weight deformation curve. By means of the material mechanical theory, a cross beam is simplified into a simply supported beam mechanical model and then made into micro segments through discretization, and a cross beam gravity deformation discretization model is built on the basis of the finite difference method; the equivalent weight bending rigidity of each discrete micro segment is calculated; the cross beam finite element gravity deformation curve is calculated; the equivalent weight bending rigidity is utilized for correcting the cross beam finite element gravity deformation curve on the basis of the finite difference method to obtain a final cross beam gravity deformation curve. The heavy double-column vertical lathe cross beam gravity deformation prediction method is applied to heavy double-column vertical lath cross beam gravity deformation curve calculation.

The present invention relates to a station logo recognition method. The method comprises the processes of station logo extraction and station logo recognition. The station logo extraction process is conducted mainly based on the probability statistics characteristics of a video, wherein a clean and complete station logo image is extracted in combination with the space-time invariance of the station logo region. The station logo recognition process mainly aims at the extracted station logo image. During the station logo recognition process, firstly, SIFT features are calculated and the coarse delete matching is conducted based on the SIFT features. Secondly, the affine transformation and correction is conducted based on SIFT feature points. Thirdly, in combination with the characteristics of the station logo, the color of the station logo and the spatial distribution features of the station logo, the matching is further conducted. Finally, the template matching is conducted according to the pattern of the station logo, the channel name of the station logo and the channel number of the station logo. The above structure-based station logo recognition method solves the problems in the prior art that: the images of existing translucent station logos can not be effectively extracted; the backgrounds in the extracted images of station logos are not clear and are provided with noise points; similar local station logos cannot be effectively distinguished and identified and the like. Meanwhile, the method can be used for processing station logos that deform at a certain degree, and enables the real-time input of station logo templates.

The invention relates to a dynamic sorting method and system for test items of a chemical analyzer and a storage medium. The method comprises the steps of: if a current to-be-tested sample does not have test items carrying pollution, carrying out sorting according to a default test sequence of the test items of the current to-be-tested sample; and if the current to-be-tested sample has test itemscarrying pollution, dynamically sorting the test sequence of the test items of the current to-be-tested sample in combination with a pollution carrying periodic action relationship table, and taking afirst sorting result meeting the expectation as the final test sequence of the test items. According to the invention, the problem of inaccurate test results caused by carrying pollution in the in vitro diagnosis analysis test process can be solved, and the problem that the running speed of the tester is influenced by the existing test item sorting mode can be solved.