50results about How to "High numerical precision" patented technology

The invention discloses a numerical simulation method for overflow flow of a windward conservation type riverway. In order to give full play to the advantages of high calculation efficiency of the one-dimensional model and high calculation precision of the two-dimensional model, the water flow in the river channel is simulated by adopting the one-dimensional model, and the river channel is simulated by adopting the two-dimensional mathematical model after overflowing. The one-dimensional model and the two-dimensional model both adopt a central format finite volume method to discretely conservea shallow water equation set. The interface flux is calculated by adopting a windward conservation type Godunov numerical calculation format, and the model has very good numerical conservation characteristics and wide adaptability, and can be used in large river areas of great rivers and also can be used in medium and small river areas. The characteristic invariant theory with strict physical mathematical significance is adopted to calculate the water flow interaction process inside and outside the river channel, the processing method can overcome the defect that a weir flow formula is adopted in a traditional method to carry out water flow interaction calculation, the precision of water flow interaction calculation between the one-dimensional model and the two-dimensional model is improved, and the overall quality conservation characteristic of the mathematical model is guaranteed.

The invention discloses a rolling linear guide rail pair integration wear coefficient test method and belongs to the rolling linear guide rail pair performance test field. A rolling linear guide railpair integration wear coefficient refers to the wear coefficient which comprehensively considers guide rail wear and slide block wear, and the integration wear coefficient directly reflects a degradation speed of a preload and other performance degradation speeds caused by the degradation of the preload. The method comprises the following steps of establishing a rolling linear guide rail pair integration wear coefficient calculation model; setting a test condition of the rolling linear guide rail pair integration wear coefficient; and testing the rolling linear guide rail pair to be tested soas to obtain the rolling linear guide rail pair integration wear coefficient. In the invention, theoretical and experimental methods for measuring the rolling linear guide rail pair integration wear coefficient are provided so as to fill the blank in the field. By using the method, a measuring speed is fast, precision is high, and theoretical support and experimental verification are provided fora performance degradation model of a rolling linear guide rail pair.

A signal processing method include steps initializing a residual data signal representative of an acquired data signal, determining a significant coefficient corresponding to the residual data signal, updating the residual data signal using the significant coefficient to generate updated residual data signal, iteratively determining significant coefficients to generate a plurality of significant coefficients using the updated residual data signal, updating the plurality of significant coefficients by using a successive approximation technique, to improve the numerical accuracy of the significant coefficients and reconstructing a data signal using the updated plurality of significant coefficients.

The invention discloses a self-adaptive grid disturbance domain updating acceleration method for aircraft aerodynamic characteristic prediction, which comprises the following steps of: firstly, providing a novel data format for coupling storage of a self-adaptive grid and a dynamic computational domain so as to realize efficient storage and traversal of dynamic computational domain information on the self-adaptive grid; secondly, establishing a self-adaptive detector capable of identifying characteristic units which are positioned in a detached strong shock wave region and are slow in convergence and the like; thirdly, establishing a self-adaptive strategy of the anisotropic encrypted grid in the decoupled strong shock wave region, which can accelerate convergence and can minimize calculation increment; and finally, establishing coupling logic of adaptive grid encryption and dynamic computational domain updating and an algorithm thereof, and proposing a self-adaptive grid disturbance domain updating acceleration method. According to the method, the acceleration effect of an existing disturbance domain updating method can be further improved; compared with a traditional global updating method, the method can provide a technical approach for optimizing the grid and the computational domain at the same time for aerodynamic characteristic prediction of the aircraft.

The invention relates to the technical field of navigation satellite application, in particular to a satellite borne rapid multi-step integration method for a track in real-time precise orbit determination. The method comprises the following steps: selecting an integration window, and then smoothening the motion state of all epoch satellites in the whole window by virtue of the observed value at an epoch position at the tail end of the window; transferring matrix integration according to the updated motion state and the given state of all the epoch satellites in the window to calculate the new motion state of the epoch satellites; and finally updating a window epoch, i.e. moving backwards one epoch from the initial epoch of the window, and then smoothening the motion state of all the epoch satellites in the smoothening window by means of updating the observed information on the epoch at the tail end of the window. In the method, a multi-step method is adopted while updating the epoch and a single-step method while intersecting the epoch, thus achieving high numerical precision, better stability and smaller integral right-function calculation, transferring matrix information by the given state, avoiding updating state for matrix transfer while updating the state, reducing times for calculating integral right function, effectively improving calculating speed, transforming window length according to different calculation accuracy, and ensuring integral precision.

The invention relates to an inspection technology of a comprehensive inspection device, in particular to a conical plug gauge painting thickness inspection gauge block and inspection method. The conical plug gauge painting thickness inspection gauge block comprises a cube; one surface of the cube is of a V-shaped surface structure, and a plurality of inspection grooves which are parallel to one another are formed in one side of the V-shaped surface; the inspection grooves are perpendicular to the middle line of the V-shaped surface, and the distances between the adjacent inspection grooves areequal; the inspection grooves penetrate through the plane; and the depths of the inspection grooves are sequentially increased or decreased. During measurement, the surface of a marked plug gauge iscoated with a red lead oily coating or Prussian blue oil with a specified thickness; and when the thickness of the coloring layer is detected, the two V-shaped surfaces of the inspection gauge block are in contact with the conical surface of the plug gauge and then slowly move along the circumferential direction of the plug gauge, and the thickness of the coloring layer is judged according to thecoloring condition in the plurality of inspection grooves.

The invention is applicable to the technical field of computers, and particularly relates to an electric power system state determination method and device, a computer medium and a storage medium. Theelectric power system state determination method comprises the steps of obtaining system measurement data, system topology network information and a node admittance matrix and establishing an electric power system state estimation model; processing the system state quantity equation according to a set membership filtering algorithm, and establishing a time updating ellipsoid; processing the system quantity measurement equation according to an adaptive algorithm; and determining measurement update ellipsoids. According to the power system state determination method provided by the embodiment of the invention, state estimation is carried out on a system state quantity equation through a set membership filtering algorithm; combined with the adaptive algorithm program, the electric power system state determination method can better adapt to the non-Gaussian noise distribution; the method is advantaged in that the adaptive algorithm is utilized to process the system quantity measurement equation, the data processing sequence in the system quantity measurement equation can be adjusted, measurement data redundancy is fully utilized, and numerical precision is further improved.

The invention discloses a high-performance simulation method for simulating the total dose effect of an MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) device, and provides internal and external electric information of the MOSFET device under the action of the total dose effect. According to the method, firstly, a geometric model of an MOSFET device is subdivided through a free hexahedral mesh; secondly, dispersing the drift-diffusion equation set by adopting a control volume finite element method (CVFEM), and performing interpolation calculation on a flux item of the drift-diffusion equation set through a hexahedral vector primary function, a finite difference method and a Scharfer-Gummel (SG) method; and finally, solving the discrete drift-diffusion equation set by adopting a Newton iteration method to obtain potential and carrier concentration field information in the MOSFET device, and performing post-processing to obtain a current-voltage curve of the MOSFET device. The simulation method disclosed by the invention has the advantages of high confidence coefficient, high numerical precision, high numerical stability, expandability and the like. The method can be used for high-efficiency and high-precision numerical simulation of the total dose and other multi-physical effects of the MOSFET device, so that the performance, robustness and reliability of an integrated circuit are improved.

A method for manufacturing a printed-wiring board having an organic resin insulating layer and a metal wiring layer and having a film-like resistive element formed on the metal wiring layer thereof, the method including: disposing a metal wiring layer on one surface of one organic resin insulating layer 1 to form an organic resin printed-wiring board 4; forming a pair of electrodes 5 on the metal wiring layer of the organic resin printed-wiring board; forming a film-like resistive element 7 between the electrodes; applying a temperature and a pressure of a laminating press to the side of the metal wiring layer in the wiring board without use of a laminating adhesive agent to change a resistance value of the film-like resistive element; trimming the film-like resistive element for adjusting a resistance value; providing a circuit member 12 having at least one layer of insulating layer; and laminating the circuit member with a laminating adhesive agent 13 in between so as to contact with a layer of the organic resin printer-circuit board having the film-like resistive element formed thereon. Accordingly, the present invention provides a method for manufacturing a printed-wiring board with built-in resistive element formed by resistive paste with high accuracy and high yield at low cost.

The invention discloses a random eigenvalue analysis method of a wing structure based on probability density evolution, which belongs to the field of structure design. Fully consider the uncertain factors existing in large and complex structures, and use random methods to quantitatively characterize uncertain parameters under the condition of sufficient sample information. The finite element equation of the free vibration of the structure is established, transformed into a generalized eigenvalue problem through the modal coordinates, and the eigenvalue sensitivity is derived. On this basis, the eigenvalue probability density evolution equation is established, and the eigenvalue sensitivity is introduced into the equation, and the eigenvalue probability density evolution equation based on sensitivity analysis is obtained. The eigenvalue probability density evolution equation is simplified into a standard form by introducing new variables, and the eigenvalue probability density function is solved by using the finite difference method and the total variation reduction scheme. Numerical results show that the eigenvalue probability density function obtained by the method of the invention is in good agreement with the Monte Carlo method, and the calculation time can be greatly reduced.

The invention belongs to the technical field of performance testing of main control equipment in the nuclear power industry. In order to solve the technical problem that a specific value cannot be input in a specific period and an output value of a specific period cannot be obtained in the prior art in the test scheme for the timing algorithm block operated by the MPU, The present invention provides a timing algorithm block testing method and device based on MPU operation; the method includes: S1, when the count value of the counter is equal to a specified period value, input a specified input parameter value to the timing algorithm based on MPU operation Block; S2. When the count value of the counter is equal to the specified period value, output the actual operation result of the timing algorithm block based on the MPU operation.

A calculation method for buckling deformation of a graphene-flexible substrate structure, comprising the steps of: establishing an atomic model of graphene; establishing an atomic model of a flexible substrate; calculating the total potential energy of graphene and its elastic substrate; seeking the minimum potential energy. The invention improves the numerical precision of the result by combining the genetic algorithm to optimize the calculation, and greatly reduces the calculation time, which is beneficial to the analog calculation of samples of the same larger size in the future.

The invention is applicable to the technical field of computers, and particularly relates to an electric power system state determination method and device, a computer medium and a storage medium. Theelectric power system state determination method comprises the steps of obtaining system measurement data, system topology network information and a node admittance matrix and establishing an electric power system state estimation model; processing the system state quantity equation according to a set membership filtering algorithm, and establishing a time updating ellipsoid; processing the system quantity measurement equation according to an adaptive algorithm; and determining measurement update ellipsoids. According to the power system state determination method provided by the embodiment of the invention, state estimation is carried out on a system state quantity equation through a set membership filtering algorithm; combined with the adaptive algorithm program, the electric power system state determination method can better adapt to the non-Gaussian noise distribution; the method is advantaged in that the adaptive algorithm is utilized to process the system quantity measurement equation, the data processing sequence in the system quantity measurement equation can be adjusted, measurement data redundancy is fully utilized, and numerical precision is further improved.

The invention discloses an adaptive grid disturbance domain update acceleration method for predicting the aerodynamic characteristics of an aircraft. First, a new data format in which the adaptive grid and the dynamic computing domain are coupled and stored is proposed, so as to realize the dynamic computing domain information on the adaptive grid. Second, establish an adaptive detector that can identify characteristic units located in the off-body strong shock region, slow convergence, etc.; thirdly, establish an off-body strong shock that can not only accelerate the convergence but also minimize the calculation increment. Wave area anisotropic refinement grid adaptive strategy; Finally, the coupling logic and algorithm of adaptive grid refinement and dynamic computational domain update are established, and an adaptive grid disturbance domain update acceleration method is proposed. This method can further improve the acceleration effect of the existing disturbance domain update methods; compared with the traditional global update method, it can provide a technical approach to simultaneously optimize the grid and computational domain for the prediction of aircraft aerodynamic characteristics.

The invention discloses an airborne gravity downward continuation method based on integral iteration algorithm. The method comprises the following steps of when the airborne gravity measurement data of a measured area is subjected to downwards continuation, taking the airborne gravity measurement data as the original value of integral iteration and performing upwards continuation on the airborne gravity measurement data; calculating the difference between an upward continuation result obtained by upward continuation and the airborne gravity measurement data, and taking the difference as the feedback quantity of a downward continuation result; and superposing the feedback quantity and the original value to obtain a new iterative original value, and performing next iteration on the new iterative original value. The method has the advantages of simple principle, simple and convenient operation, easiness in popularization, capability of improving data precision and confidence degree, and the like.