67 results about "Mathematical software" patented technology

The invention relates to a method used for accurately measuring the wave guide wide margin gaping admittance by millimeter wave and wave band wave. In the testing process, a test platform consisting of a vector network analyzer and a computer is equipped, and the test paltform is connected with two transmission line calibration elements L1 / L2 of two ports of vector network analyzer and a reflection calibration element R, wherein, the length of L1 and R is identical with that of the measured element, while the length of L2 differs by lambda /4 as the measured element. The LRL standard calibration test is performed on dual ports of the vector network analyzer. The S parameter of the measured calibration element is measured and 12 items of measuring errors existing in the testing process are figured out. Then the S parameter of the test sample is tested. An admittance value of the wave guide wide margin is figured out through the mathematical software in the computer. In the invention, the dual ports of the vector network analyzer are calibrated through LRL calibration. By adjusting the length of the calibration element, the problems are solved that the phase error and the complexity of the processed and test attachments caused by the movement of the test cable in the calibration process of the prior art where frequent assembly and disassembly of the calibration element and the measured element are conducted.

The invention provides a macro instruction generator for an unmanned aerial vehicle with a variable flying mode and an instruction generation method for the macro instruction generator. The instruction generator comprises a guide instruction generator, a controlled state instruction generator, a state reference value generator and a macro control surface reference instruction generator. Balancing of a mode conversion process is equivalent to the balancing of various combined states in a sequence consisting of tilt angles and desired pitching angles; and in a specific tilt angle and desired pitching angle combined state, iterative optimization balancing is instructed by a cost function, so that balanced values of a state vector and a control vector of the macro control surface are changed stably along with the tilt angle and an air speed instruction. All inner functions of the guide instruction generator, the controlled state instruction generator, the state reference value generator and the macro control surface reference instruction generator are established by adopting a segmental curve fitting method according to a balanced result sequence. The iterative optimization balancing and the curve fitting are realized efficiently and accurately by using matrix laboratory (matlab) math software.

The invention provides a finite element modeling method for establishing a defective material model. The finite element modeling method comprises the following steps: establishing a two-dimensional or three-dimensional material model with great numbers of randomly distributed pores or cracks by virtue of combination of mathematical software, modeling software, finite element analysis software and the like: editing codes in the mathematical software to establish a data model of the material; carrying out defect treatment in the modeling software; and carrying out analog computation and result analysis in the finite element analysis software. According to the finite element modeling method, the problem that the material model with randomly distributed defects is difficultly established in the finite element analysis software is solved; by simplifying the great numbers of defects in the material, editing a reasonable script file and establishing interfaces among the software, the material model with great numbers of defects is introduced into the finite element analysis software to be subjected to analog computation, thereby facilitating the mastering and the use of relevant researchers.

The invention relates to a method for measuring geometric parameters of monomode optical fiber. The method utilizes a common laser as a light source, couples lights into optical fiber through a precise five-dimensional adjusting rack with a lens and an optical fiber griping handle, utilizes CCD or other imaging systems for data acquisition, analyzes the obtained data by a computer, uses a Mathematica mathematical software to process and calculate the measured light intensity distribution graph under visible light and uses a nonlinear least square fitting method to calculate the geometric parameters of the optical fiber, which comprises fiber core refractive index n1, cladding refractive index n2 and fiber core radius a. The method utilizes the common semiconductor laser as a light source, has convenient use, needs little equipment and low cost, and has no strict requirement on environment. The method utilizes visible light wave band for mensuration, avoids using an infrared detector and an infrared laser source with high price, is convenient to adjust by naked eyes at the same time and also convenient to acquire information of light intensity, utilizes CCD to detect the light intensity distribution of the output end of the optical fiber, can carry out full-field mensuration, acquire total data once and avoid using mechanical movable scanning equipment.

The invention discloses an airspace time slot resource optimization allocation method based on uncertain arrival time and belongs to the air traffic management field. The method includes the following steps that: an airspace resource information platform is constructed, and information such as air route operation information in traffic restricted airspace, downstream airspace unit available time slot information and flight operation information is obtained; risk decision making principles of airspace time slot resource allocation are formulated; an objective function is established with minimizing the total delay loss of all flights under a certain confidence level adopted as an objective; and an objective function is established with minimizing average passenger delay time under a certain confidence level adopted as an objective; constraint conditions satisfying the risk decision making principles are established; random constraint conditions in the constraint conditions are converted into a corresponding certainty equivalence form; the random optimization model of the airspace time slot resource allocation is established; the random optimization model is solved through adopting mathematical software, a non-inferior solution set can be obtained, and an airspace time slot resource optimization allocation strategy set under an uncertain arrival time condition can be formed; and airspace time slot resource optimization allocation strategies are distributed through the airspace resource information platform.

The invention discloses a washhouse carrying equipment fault diagnosis method based on a fault tree. The method includes the following steps that 1, a fault tree analysis program is written in mathematical software; 2, top events are selected; 3, a fault tree is built; 4, the fault tree is input into the program, and qualitative analysis of faults is conducted; 5, a bottom event occurrence probability matrix is built and input into the program, and quantitative analysis of the faults is conducted; 6, a fault diagnosis sequence is obtained, and a diagnose decision tree is given; 7, the diagnose decision tree is given after being transformed into a diagnosis flow chart. According to the method, the fault tree analysis program is written based on the analysis thought of a fault tree descending method, and qualitative and quantitative analysis of the fault tree can be conducted; based on the working principle of washhouse carrying equipment and a circuit structure chart, the fault tree is built for common equipment faults appearing in the production process, and after the fault tree is input into the program, reasonable and effective diagnosis steps are automatically given, which helps a user rapidly and accurately find the equipment faults.

The invention provides a finite element model correction method based on the perturbation method for a complex model under uncertainty, comprising: deducing an iteration form for average and covariance matrixes for under-correction parameters of the complex model; determining complex model correction target average and covariance matrixes; determining initial estimated values of the under-correction parameters of the complex model; calculating a sensitivity matrix and modal frequencies for the under-correction parameters of the complex model through finite element analysis; reading finite element calculation results of the complex model, and calculating an intermediate variable conversion matrix and the covariance matrix; correcting an average and covariance of the under-correction parameters of the complex model to obtain updated parameters; performing cyclic iteration to carry out parameter correction. File reading-writing and data transmission channels are established based on the commercial mathematical software MATLAB and the finite element simulation software NASTRAN; the method is suitable for solving model correction problems where both system parameters of a complex modeland test data present uncertainty, and corrected parameters have high average precision.

Steps of the mathematical algorithm are as following: establishing coordinate system, selecting one branched chain, converting the selected single branched chain from space vector to plane vector so as to obtain vector of cutting tool position; then, based on relation of vector to obtain vector qalpha; finally, using mathematical software Matlab obtains functional relation among length of bar, pose of cutting tool position, and position of cutting tool tip; length of bar is as module (length) of vector qalpha. The algorithm of inverse solution is in use for controlling movement of parallel machine tool in five axes, five rings. Using mathematical function, the algorithm of inverse solution defines relation between locus of tool tip and lengths of five bars. The invention is key technique for developing parallel machine tool as well as foundation for analyzing speed, acceleration of parallel machine tool, evaluating performance of kinematics, and algorithm of digital control system etc.

The invention discloses a finite element modeling method for predicting forging force in the rotary swaging process and belongs to the technical field of plastic forming. The forging force is calculated by an empirical formula in the conventional rotary swaging industry, the calculation accuracy is low, and the change rule of the forging force along the rotary swaging technological parameters cannot be predicted. Due to complex motion track of the rotary swaging molds, a report for calculating the rotary swaging forging force by the finite element method is absent up to now. The finite element modeling method comprises the following steps of: calculating a motion track diagram of the rotary swaging mold relative to workpieces subjected to the rotary swaging by using mathematical software; establishing a finite element model of the rotary swaging by using universal finite software; and combining the motion track diagram of the rotary swaging mold which is obtained by the mathematical software to realize the simulation of the forging die motion process in the finite element simulation process. The finite element modeling method can solve the problems of high workload and high time consumption when commercial finite element software draws a complex motion track of an object, can precisely calculate the change rule of the forging force along the rotary swaging technological parameters to obtain the range of the reasonable rotary swaging technological parameters, and provides a basis for accurately designing the rotary swaging molds and rotary swaging technological parameters and selecting the models of rotary swaging machines.

The invention relates to a shot peening strengthening numerical simulation method considering coupling of a finite element and a discrete element of surface roughness, which comprises the following steps: (1) establishing an autocorrelation function based on Gaussian distribution to represent the real surface roughness of a part, and extracting data information of the surface roughness by using MATLAB mathematical software; (2) importing the data information of the surface roughness into PROE three-dimensional modeling software, carrying out surface smoothing treatment through fitting, and establishing a three-dimensional shell model for representing the surface roughness of the part; (3) importing the three-dimensional shell model into ABAQUS finite element software, and establishing a part finite element model considering the surface roughness on an ABAQUS/CAE platform; (4) by modifying the inp file of the ABAQUS, creating a particle generator, establishing a discrete element model of the shot flow in the shot peening strengthening process, and controlling related parameters of the shot flow according to actual shot peening working conditions; and (5) utilizing an ABAQUS/Expressexplicit dynamics algorithm to carry out shot peening numerical simulation calculation considering coupling of a finite element and a discrete element of the surface roughness in the shot peening process of the part.

The invention belongs to the technical field of nuclear industry intelligent algorithm application, and particularly relates to a method for designing optimal PID parameters of a closed-loop control system of a nuclear power plant. The method comprises the following steps of: S1, determining the closed-loop control system and a controlled object needing PID parameter optimization; S2, performing nuclear power plant analogue simulation on a nuclear power plant design verification platform, and operating the closed-loop control system; S3, determining a model structure and model parameters of the controlled object, and identifying the controlled object by using a genetic algorithm to obtain model parameters for optimal identification; S4, carrying out PID parameter optimization by using a genetic algorithm to obtain the optimal PID parameters; S5, substituting the controlled object model and the optimal PID parameters into a closed-loop control system block diagram for simulation through mathematical software until the optimal PID parameters meet engineering index requirements; and S6, writing the optimal PID parameters meeting the engineering index requirements into an engineering design file. The PID parameters obtained by adopting the method can be applied to debugging and operation of the closed-loop control system of the nuclear power station.

The invention discloses a workpiece welding seam polishing method applied to terminal equipment. According to the method, when a workpiece is polished, a polishing track is generated according to coordinate data of a workpiece welding seam of a polishing control assembly through a mathematical software platform, and finally a robot is controlled to polish the workpiece welding seam according to the polishing track. Firstly, the polishing track is generated according to the coordinate data of the actual polished workpiece welding seam, and therefore, the adaptability of the whole scheme to different workpiece welding seams is guaranteed; furthermore, the polishing track generated by the mathematical software platform is very smooth, so that pause of the robot in the polishing process is avoided; and finally, the polishing track is automatically generated, the robot is controlled to execute polishing operation, and therefore, manual participation is not needed, and the polishing efficiency is remarkably improved. In addition, the invention further provides the terminal equipment, a workpiece welding seam polishing method applied to the polishing control assembly and the polishing control assembly. The technical effects of the terminal equipment, the workpiece welding seam polishing method applied to the polishing control assembly and the polishing control assembly correspond to the technical effects of the method.

The invention discloses a measuring method for friction distribution of an inner wall of a confining device on a condition that materials in the confining device are subjected to axial compression. Strain of different measured points is acquired simultaneously by a static resistance strain indicator, B-spline fitting is carried out three times according to data of the different measured points by mathematical software of MATLAB (Matrix Laboratory) easily, and finally a friction distribution formula can be obtained by means of elasticity mechanic analysis. The measuring method has simple form and is reliable.

The invention discloses a QT and Matlab multi-thread hybrid programming software architecture for a self-adaptive optical control system, which uses a cross-platform visual graphic development tool QTto build a multi-thread application program framework, and adopts a C/C + + language and a Matlab advanced scientific computing language to perform hybrid programming. According to the software architecture, the self-adaptive optical control system is divided into three function orthogonalized task modules including man-machine interaction, data communication and numerical calculation according to functional requirements, then a visual graph development tool QT is used for creating mutually independent working threads, and corresponding functions of the three modules are executed at the sametime in a parallel processing working mode. Meanwhile, a Matlab working engine is created in the numerical calculation module; an algorithm program realized by a Matlab advanced scientific computing language is directly called through a universal function interface provided by an engine; rich functions provided by Matlab commercial mathematical software are fully utilized for rapid calculation, the development difficulty of a complex algorithm of the control system is effectively reduced, and the development period of the control system software is greatly shortened.

The invention relates to an expressway traffic capacity calculation method considering automatic driving vehicles of different systems. The expressway traffic capacity calculation method comprises the following steps: S1, setting three types of motor vehicles including human-driven vehicles, single-vehicle intelligent automatic driving vehicles and intelligent network-connected automatic driving vehicles in a road section traffic flow; S2, carrying out statistics on a research object road section to obtain occupancy rates of three types of motor vehicles; S3, respectively actually measuring and acquiring probability distribution functions of time headways when three types of motor vehicles are used as rear vehicles and following vehicles; S4, listing a road section traffic capacity calculation formula considering the mixing of the automatic driving vehicle; S5, carrying out simulation by adopting mathematical software, and obtaining a probability distribution function of the highway lane traffic capacity C considering the mixing of automatic driving vehicles of different systems; and S6, adopting deterministic expression and probabilistic expression as expression modes of the traffic capacity. Multiple automatic driving systems are considered, the calculation method is simplified, the calculation efficiency is improved, and the probability expression of the traffic capacity is innovatively given.

The invention discloses a method for optimizing a refinery wastewater biochemical processing unit based on software simulation, which comprises the following steps: a, investigating the refinery wastewater biochemical processing unit to determine the process flow; b, obtaining the sizes and process operation parameters of the structures of each biochemical section; c, obtaining historical inflow water quality data from a laboratory system of a water plant; d, supplementing to measure the inflow and outflow water quality parameters of the process over a period of time, and determining the characterization component parameters of the oily wastewater by component calculation; e, using mathematical software to build a model, inputting the sizes and the process operation parameters of the structures, the characterization component parameters of the oily wastewater, the historical inflow water quality and the water volume to carry out static and dynamic simulation; f, adjusting kinetic parameters and stoichiometric numbers to correct the model; g, carrying out a plurality of running state analyses and selecting an optimal operation plan. According to the method for optimizing a refinerywastewater biochemical processing unit based on software simulation in the invention, the effluent and energy consumption in different situations are analyzed through the corrected model; an optimal operation scheme is proposed; the unit processing efficiency is improved; and energy consumption is reduced.

The invention discloses a dual-porosity dual-permeability model and dynamic prediction method for a shale gas reservoir considering gas-water two-phase flow. Aiming at the flow of gas in a formation from an entire matrix system to natural fractures, gas-water two-phase flow exists in the matrix system and the fracture system, and the condition that the matrix permeability is corrected by the influence of an adsorbed water layer in inorganic nano-scale pores is considered, the proportion of organic matter and clay minerals and the respective adsorption and desorption constants thereof are introduced to derive a shale gas reservoir gas-water two-phase flow dual-porosity dual-permeability model; and an IMPES method and Matlab mathematical software are adopted to program and solve the two-phase, three-dimensional, dual-porosity and dual-permeability model of multistage fractured horizontal wells in the shale gas reservoir, and the dynamic changes of production pressure are accurately predicted. The invention aims to solve the technical problem that shale gas reservoir gas-water two-phase dual-medium models in the prior art cannot accurately and dynamically predict the production pressure.