43 results about "Matlab language" patented technology

The invention discloses a fault diagnosis method based on multi-sensor signal analysis. Pressure, temperature, flow and other parameters of a heat pump unit in the operation process are acquired by utilizing multiple sensors, and vibration signals of the unit are acquired by utilizing a vibration sensor so that the equipment state of the air source heat pump unit can be comprehensively mastered. Multiple intelligent technical methods are combined on the basis, and respective advantages of the intelligent technologies are comprehensively applied to perform state monitoring, fault diagnosis and intelligent indication on the air source heat pump unit through enhancing advantages and avoiding disadvantages so that sensitivity and accuracy of a monitoring and diagnosis system can be effectively enhanced and misdiagnosis rate and missed diagnosis rate can be reduced. Meanwhile, a use-facilitating signal processing platform is designed by adopting a GUI design method based on the MATLAB language. An accurate diagnosis decision is provided for general operation personnel without understanding system mechanism or analyzing data.

The invention relates to an embedded plant light environment regulation system combining an illumination frequency and a duty ratio. The system is based on plant physiology characteristics, and obtains the growth state of the plants in real time through a camera, thereby calling the optimal regulation model of the growth stage corresponding to the growth state according to the current state of theplants, and adjusting the illumination frequency to performing supplemental lighting on the plants to achieve the purpose of further improving supplemental lighting efficiency. Firstly obtaining a large amount of experimental data, and writing a support vector machine (SVM) algorithm by using a matlab language after normalization processing to construct a prediction model of the photosynthesis rate of the plants in different environments. Then writing a genetic algorithm by using the matlab language according to the obtained prediction model to construct a supplemental lighting target value optimization model and obtain the light environment target value corresponding to the curvature maximum value of each data. And finally, writing a random forest algorithm by using a python language toconstruct a facility light environment optimization regulation model capable of being portable to an embedded device. According to the embedded facility light environment optimization regulation system combining the illumination frequency and the duty ratio, the plant photosynthesis efficiency can be effectively improved, so that the economic benefit of the facility agriculture is improved.

A method for unify control of corrosion electric drive of reinforced concrete structure belongs to that technical field of civil engineering. The method is as follows: according to the driving force of particle field evolution in concrete under unified electric field, Nernst-Planck equation; the thermodynamic model of interaction between pore solution and hydration product, Poisson equation of electric field distribution and Richards equation of water transport in concrete during particle field evolution are coupled into Nernst-Planck equation; Electrode Dynamics Response of Steel-Mixture Interface under Electric Field Considering Electric Drive and Unified Corrosion Control; thus, the basic theoretical model of unified corrosion control of reinforced concrete structure driven by electricity is formed. Based on MATLAB language, the numerical model is solved by operator splitting algorithm. In the numerical results, the distribution of water content, ionic concentration of pore solution, hydration product content and local current density on the surface of steel bar can be obtained, which provides scientific basis for corrosion control of reinforced concrete structures.

The invention discloses an intelligent image counting method of rock grain sizes after blasting. The method comprises the steps of: A, using a camera to obtain a two-dimensional picture of a rock muckpile after blasting at a blasting site; B, importing the initial grain size picture into the computer, and using image processing software to carry out correction optimization processing on the photograph; C, substituting the processed image into a third-generation neural-network model, which is written on the basis of a matlab language and is namely a feedback-type pulse-coupled neural-network model, for processing; D, additionally carrying out gradient processing on the image, of which preprocessing is completed, to obtain a gradient image; E, substituting the obtained rock grain size markimage and the gradient image into a mark watershed-segmentation method to obtain a grain size segmentation graph; and F, carrying out counting of sizes and the number of block bodies in the two-dimensional picture, drawing a blasting block degree distribution curve, and completing rock block degree counting. Operations are simple and convenient, intelligent image processing realizes rock grain size counting after blasting, and obtained block degree counting data have higher accuracy as compared with data of existing processing technology.

The invention relates to a method for simulating high-temperature safety property of lithium battery. Wherein, it is characterized in that: (1), first preparing lithium battery pole sample; (2), using one heat measure (as insulated acceleration heat measure) to obtain the temperature increase speed along temperature change of sample; (3) using test to build reaction dynamic model, to build dynamic equation of pole insulated decomposition reaction, using heat measure to test the sample data to obtain the reaction dynamic parameters; (4) using said equation and parameters to calculate out the relation between temperature increase speed and temperature change when discomposing pole material in same electrolyte, any initial temperature and any amount; (5), using Matlab to program and simulate it in computer.

Disclosed is a PID parameter optimization method for a permanent magnet synchronous motor control system. The method comprises the following steps: (1) calculating simulation step length T1, current loop period TC1 and speed loop period TS1 according to parameters of an actual control system; (2) carrying out normalization calculation on current feedback of a current loop and speed feedback of the current loop according to parameters of an actual system permanent magnet synchronous motor; (3) carrying out CLARK transformation; (4) carrying out PARK transformation; (5) carrying out IPARK transformation; (6) carrying out SVPWM design; (7) utilizing matlab language to enable a discretized PID regulator; (8) establishing a control system parameter evaluation function; (9) designing a genetic algorithm; (10) configuring a SIMULINK permanent magnet synchronous motor and IGBT simulation model parameters; (11) building up a SIMULINK simulation model of the permanent magnet synchronous motor space vector algorithm; and (12) optimizing the parameters.

The invention relates to a calculation method of discharge platform of mixed anode material of lithium battery. Wherein, it comprises: obtaining the discharge test data of single anode material, fitting the test data into discharge curvature as voltage-specific capacity function and store it in computer to form one standard test database; selecting the function relationship of mixed used anode material from the standard database, adding the function relationships linearly to obtain mixed material function relationship; at least, using Matlab language to program the method to realize computer simulation. The invention has simple operation and can detect the mixed ratio of unknown mixed anode material.

The invention discloses an electromagnetic relay closing bounce electrical contact mechanical property calculation method under a capacitive load, and the method comprises the following steps: (1), carrying out the formulated description of an action process, and building an electromagnetic force mathematic model, a contact force mathematic model and an electric repulsion mathematic model of an electromagnetic relay; and (2) compiling a calculation program by adopting MATLAB language to realize coupling solution of the electromagnetic force mathematical model, the electric repulsion mathematical model and the contact force mathematical model. In the coupling solving process, contact bounce and dynamic characteristics of the electromagnetic relay under the capacitive load are analyzed basedon a four-order Runge-Kutta method. The invention provides the analysis method for solving and analyzing the bounce characteristics of the electromagnetic relay, an electromagnetic field and mechanical field coupling equation for controlling the contact bounce behavior of the electromagnetic relay can be solved at the same time, the universality is extremely high, the method can be applied to different relays under various working conditions, and the analysis efficiency of the bounce characteristics of the electromagnetic relay is further improved.

The invention provides a drainage pipe network GIS abnormal data detection and restoration method. The method comprises the following steps: firstly, preprocessing drainage pipe network GIS data; writing query and repair rules in an ArcGIS ''topology'' tool box and SQL Server database software to process topology exceptions; constructing an attribute item semi-automatic classification method basedon a Jaccard similarity coefficient matrix to classify and repair text attribute items of the drainage pipe network; an upstream and downstream pipe diameter filling method based on rules is providedfor abnormal pipe diameter detection and repair; and based on the least square method, the detection and repair of the abnormal pipe section elevation and the abnormal inspection well elevation at the multi-pass node are realized. Based on the method, a MATLAB language is adopted to develop a corresponding program, man-machine interaction type drainage network abnormal data detection and restoration are achieved, the method has certain universality to solve various main data abnormal problems of the drainage network, and the data quality of the drainage network can be effectively helped to beimproved.

The invention relates to a three-degree-of-freedom helicopter control method based on an LPV system. Through a three-degree-of-freedom helicopter system composition structure, an equation of motion in three-degree-of-freedom directions is established, then a variable parameter, a state vector, and system input and output are selected according to an LPV system concept to establish a three-degree-of-freedom helicopter LPV model, and an LPV mathematical model is translated into a Matlab language. According to a three-degree-of-freedom helicopter model, a system feedback loop is designed, a weighting function is selected, and a controller is generated. A controller module diagram is set up after controller parameters are obtained, a controlled system module is established, different inputs are given, observation output is selected, and then semi-physical simulation of a three-degree-of-freedom helicopter is performed. Hardware control gives a tracking signal through Matlab, after control voltage is obtained through calculation of a computer, in linkage with official software QuaRC, data are written in a data acquisition card, and then a control signal flows through a power amplifier to directly control a helicopter body.

The invention records an inner mass transfer computing method of concrete under environment and material physical and chemical intrinsic action. The method specifically comprises the following steps:S1, coupling a thermodynamic model of physical and chemical intrinsic action between a porous solution of a cement-based material and a hydration product to a Nernst-Planck equation considering waterconvection action; S2, transferring PHREEQC to calculate the thermodynamic model between the porous solution and the hydration product through an MATLAB language and calculate Nernst-Planck equation and the water convection action by COMSOL, and achieving interaction therebetween; and S3, representing hydration products of water, porous solution ion concentration and hydration product content in the cement-based material according to the calculation result. The method belongs to the field of civil engineering materials. The numerical value model can provide the most intuitive theoretical ground for durability design of the cement-based material and prediction of service life of a reinforced concrete structure.

The invention discloses a vehicle power matching and performance analysis method based on Visual Studio and Matlab hybrid programming. According to the software, a whole vehicle and each sub-model areconstructed by using an MATLAB programming language; An M file is compiled into a C language or a C + + language through Visual Studio2010 to be called, an independent application program separated from an MATLAB environment is generated, and the powerful data processing function and the image drawing function of the MATLAB are still reserved. By applying the hybrid programming method disclosed by the invention, parameters of each part of the whole automobile can be input into software; The whole automobile is simulated and calculated through a program, and no whole automobile object is needed. The dynamic property and the economical efficiency of the whole vehicle can be calculated only by inputting parameters into the parameter box corresponding to the software interface and pressing corresponding operation buttons, and a user does not need to master MATLAB language and automobile theory related professional knowledge. The method has the advantages that the software running speed ishigh, the method can run on a computer under the condition that MATLAB (Matrix Laboratory) and Visual Studio2010 software are not started, the operability is high, and a large amount of time and computer occupied space are saved.

The invention relates to a radar anti-collision driving system. The system is characterized in that: two sides of the front part of an automobile are provided with anti-side collision laser range finders; the front part is also provided with sonar horns; a sonar transducer is connected with the back of the sonar horns; the sonar transducer is connected with a syndrome all-weather automobile signal processor through an amplifier and a diode detector; a thermal infrared imager is arranged in the front of a cab; a digital signal processor TMS 320240 is adopted in hardware of a driving expert control system and the hardware integrates high-speed signal processing capacity of a DSP and a peripheral circuit suitable for motor control into a whole to directly control speed reduction, steering and braking of the automobile; and a driving expert system adopts an artificial intelligent forward inference engine program and programs by using an artificial intelligent language, namely an LISP language or a MATLAB language. The all-weather automobile radar anti-collision driving system can realize all-weather precise measurement and positioning of targets in front of the automobile, and automatically adjust speed, steering, and braking to fulfill the aim of safe driving.

The invention relates to a method for designing a satellite-borne SAR internal calibration data processing flow in the technical field of satellite-borne SAR internal calibration data processing. Themethod comprises the following steps: (1) according to the satellite-borne SAR integration testing internal calibration data processing flow, function modules are divided; (2) input and output parameters of the function modules are defined on the basis of the division of the function modules, and data interaction among the function modules is realized; (3) the function modules are developed basedon a MATLAB language function form, and meanwhile standardized packaging is carried out; and (4) the development of the internal calibration data processing flow is completed on the basis of the standardized function modules which have been developed. According to the method, the problem in designing the internal calibration data processing flow during satellite-borne SAR integration testing or ground application processing based on the standardized function modules is emphatically solved; the problem in data interaction is solved; and the requirements of efficient automatic processing are met.

The invention discloses a high-temperature aging estimation device for a DC cable insulating material based on a composite field, and the device mainly consists of an experiment apparatus, an electrical tree observation apparatus, a DC superposition pulsed power supply apparatus and a terminal. The interior of the terminal is provided with a Matlab language data analysis platform, and the electrical tree observation apparatus records the test sample change data in the experiment apparatus, and transmits the data to the terminal. The device effectively simulates the working conditions of a DC cable in actual operation.

A RBF neural network medium-and-long-term runoff prediction method based on a runoff production mechanism comprises the following steps: exploring a main physical factor set influencing monthly runoffformation from the physical process of runoff formation; taking seasonal difference of runoff formation into consideration, and respectively screening the physical factor sets primarily selected in each month by adopting a stepwise regression analysis method to obtain a remarkable physical factor set influencing monthly runoff; establishing a monthly runoff forecasting RBF neural network model byadopting a Matlab language; optimizing the optimal combination parameters of the monthly runoff forecasting model; and evaluating the forecasting effect of the monthly runoff forecasting model. A significant factor set is screened from a runoff generation physical mechanism, so that the physical significance of the prediction model is effectively ensured, and the calculation stability of the prediction model is improved. According to the method, the runoff prediction effect of the model is quantitatively evaluated by adopting the relative error absolute average value and the relative error qualification rate.

The invention discloses a bird risk prediction and evaluation method in an aero-engine bird-attracting environment. The method comprises steps of obtaining the probability of an aero-engine bird-attracting event according to historical data, writing an M file program through employing MATLAB language, achieving a BP neural network algorithm, predicting the economic loss caused by the aero-engine bird-attracting event through employing a BP neural network model, and obtaining the bird-attracting risk of an aero-engine; risk assessment being carried out in combination with the aircraft engine bird suction event probability and the risk assessment matrix; and finally, designing a GUI (Graphical User Interface), selecting eight factor data such as aircraft mass, engine installation number, engine type, month, weather, bird type, bird number and bird size in the statistical data according to the correlation degree of influence factors in the aircraft engine bird attraction event, and calling a BP (Back Propagation) neural network algorithm through an M file to obtain a result. The method is advantaged in that the model can be used for predicting the probability value, the severity degree and the risk assessment level of a certain bird inhaled by a certain engine of a certain flight aircraft in a specified time period and a specified height in the future.

The invention provides an experimental platform of a major of communication engineering. The experimental platform of the major of communication engineering includes a communication engineering coursemain control interface based on MATLAB language, the communication engineering course main control interface includes five sub-platforms, the sub-platforms specifically are a signal and linear systemanalysis platform, a digital signal processing platform, a communication principle platform, a digital image processing platform, and a voice signal processing platform, wherein the signal and linearsystem analysis platform is used for study of a signal and system course, the digital signal processing platform is used for study of a digital signal processing course, the communication principle platform is used for study of a communication principle course, the digital image processing platform and the voice signal processing platform are used for study of digital image processing and voice signal processing respectively, thus student experimental requirements of the five main courses of 'communication principle', 'signal and system', 'digital signal processing', 'digital image processing' and 'voice signal processing' of the major of communication engineering are met, input of the teaching cost is reduced, and popularization is convenient.

A regional comprehensive energy system configuration optimization method based on photovoltaic consumption comprises the steps that a regional comprehensive energy system basic framework based on photovoltaic consumption is established according to regional electricity, cold and heat load requirements; constructing a regional comprehensive energy system capacity configuration optimization model bytaking the highest economy, the highest system energy supply reliability and the lowest light abandoning rate of the system as target functions; power generation strategies are set to be photovoltaicpower generation, a combined cooling heating and power supply unit, an energy storage unit and an external large power grid energy supply unit in sequence; mATLAB language programming is used for realizing regional comprehensive energy system configuration optimization, optimal capacity configuration, namely the configuration number of all units, is obtained, and configuration power is obtained through calculation; meanwhile, annual operation results which comprises system energy supply composition, photovoltaic consumption conditions and energy supply interruption conditions are output. According to the method, the purpose of effectively promoting photovoltaic consumption on the basis of ensuring the energy supply reliability can be achieved, and the photovoltaic utilization rate and theoptimization efficiency of regional comprehensive energy are effectively improved.

The invention relates to the field of geophysical exploration, and discloses a field point lofting method for geophysical exploration, which is characterized in that a lofting reference point is determined in a lofting area, and then field point lofting is carried out through a recursion method. According to the method, any lofting angle can be selected for the point orientation and the line orientation of field geophysical exploration; the situation that single-line lofting is easily interfered by factors such as field rivers, lakes and villages is avoided, and multi-line lofting in the area can be carried out at the same time; according to the method, a related operation interface can be developed based on a Matlab language, man-machine interaction can be realized, and lofting parameters can be changed according to requirements.

The invention discloses a finite element optimization method for the width of the protective coal pillar of the floor roadway, which includes: calling a dynamic parameterized model program, modifying the width L of the protective coal pillar to perform finite element calculation; using the program Disp.py to obtain key point deformation, and calculate The total objective function U; use the program CoalwidthOp.m to automatically optimize the total objective function; when the optimization iterative calculation satisfies the constraints on the width of the protected coal pillar, the optimization result is output, and if it is not satisfied, return to recalculation. The present invention is based on the ABAQUS platform, uses the Python language to establish a dynamic parameterized model for simulating the width of different protected coal pillars, compiles a finite element optimization analysis calculation program based on the Matlab language, and takes the minimum shape of the roadway and the protected coal pillar deformation as the optimization target. Calculating with a dynamic parametric model, a reasonable size of the protective coal pillar is obtained, which improves the analysis efficiency of determining the width of the protective coal pillar in the floor roadway by using the finite element method, and provides theoretical support for the design of the protective coal pillar under similar mining conditions.

The invention discloses a composite-electric-field-based superconducting insulation material aging evaluation device, which is mainly composed of an experimental device, an electric branch observationdevice, a DC superimposed pulse voltage device and a terminal. A Matlab language data analysis platform is arranged in the terminal. The electric branch observation device observes and records samplechange data in the experimental device and transmits the data to the terminal; and then the Matlab language data analysis platform arranged in the terminal performs analysis and evaluation. Therefore, the aging evaluation of the superconducting insulation material under the composite electric field is realized; a problem of the electric tree branch aging of the insulating material due to continuous increasing of the transmission capacity of the power grid, continuous improvement of the voltage level and the complication of the external environment is solved; and the safe and stable operationof the power system is guaranteed effectively.

The invention provides a method and device for automatically generating a DBC file, and the method comprises the steps: obtaining a first communication protocol in an excel format, typesetting the first communication protocol according to a standard format, and obtaining a second communication protocol; converting the second communication protocol in the excel format into a second communication protocol in an MATLAB language format, and importing the second communication protocol into an MATLAB working area; performing data extraction and verification from a second communication protocol in an MATLAB language format to generate a standard structural body; generating a DBC file of a CAN communication protocol by using the standard structure body; automatically generating the DBC file. the efficiency is high, the data can be verified, and errors are reduced.

The invention provides a MATLAB (Matrix Laboratory) real-time simulation method, which comprises the following steps: firstly, providing a script execution engine running on an embedded real-time operating system and used for executing and loading a user algorithm model script in an MATLAB language form; wherein the embedded real-time operating system runs on the embedded hardware platform; realizing a user algorithm model script, wherein the user algorithm model script is an algorithm model realized by a user through MATLAB language; the system comprises three modules, namely an initialization module Initialize, an operation module Step of each step length and an end module Finalize. The script execution engine firstly executes an initialization module Initialize and then starts a timer,sets the timing length to be a step, and executes an operation module Step in callback of the timer. The C / C + + code is generated without a code generation technology and directly runs on an embeddedhardware platform, so that the burden of designers is reduced. The working efficiency is improved.

The invention discloses a modeling method of a closed-cell foam wave-absorbing material in the technical field of closed-cell foam wave-absorbing materials. The modeling method comprises the followingsteps: S1, analyzing and arranging base points for generating a Voronoi diagram, and calculating a total base point number value according to the cell body number of each layer of the established model, the layer number of each coordinate direction and the arrangement point number of each coordinate direction; S2, arranging the seeds by Matlab, and forming a Voronoi graph through Matlab softwareaccording to the base points generated in the S1; S3, generating a regular tetradecahedron Voronoi graph through Rhino, and calling the coordinates of the base points generated through Matlab, and correspondingly generating a regular tetradecahedron Voronoi graph through Rhino. According to the method, the geometric model of the foam material tetradecahedron microstructure is established by utilizing a method of combining Matlab and Rhino software, wherein the Matlab language is simple, and the generation of base point coordinates for forming the Vonoroi graph is easy to realize; rhino software is rich in drawing function, and under the condition that base point coordinates are given, the process of drawing the three-dimensional Vonoroi is simple and easy to implement.

The invention discloses an automatic diagnosis method for an ice mass balance buoy interface, relates to an ice mass balance buoy, and provides a processing method for the real-time transmission of data by the ice mass balance buoy, a time sequence interface diagnosis method for the ice mass balance buoy and a diagnosis method for the real-time interface of the ice mass balance buoy. The real-time algorithm of the ice mass balance buoy is established on the basis of a time sequence algorithm, a real-time algorithm is established by a MATLAB language script, and seven program modules are used; an upper boundary search initial position and a lower boundary search initial position used in the last Step4 iteration of the diagnosis result of a time sequence algorithm interface are used as reference search positions, Step5 carries out the correction of the initial search position of the interface of the N+1 days of the real-time algorithm according to a restriction condition, and Step6 utilizes a real-time algorithm interface result of the Nth day to calculate the positions of the upper boundary and the lower boundary of sea ice of the (N+1)th day.