204 results about "MATLAB" patented technology

A method for predicting in-situ leaching effects of sandstone-type uranium mining deposits after blasting is provided, which comprises: based on a finite element analysis platform, establishing an HJC rock-blasting constitutive model, and carrying out a blasting numerical simulation; calibrating a cloud map of blasting crack damage by using a Kriging interpolation algorithm; establishing a COMSOL multiphysics model; establishing a coupling interface between the COMSOL multiphysics model and PHREEQC based on MATLAB, and optimizing a cycle duration and a time step; performing a geochemical reaction calculation and saving results, running COMSOL files, and inputting the results of geochemical reaction calculation into PHREEQC to obtain a dynamic cyclic iterative simulation; dynamically correcting migration coefficients of uranyl complexes by integrating an LSTM neural network, and stopping the cycle to output multi-scale dynamic simulation results of migration of uranium.

The invention relates to the technical field of tunnel monitoring, and discloses a tunnel fan health diagnosis and early warning system and method based on multi-source fusion, comprising a sensing layer, a data acquisition and transmission layer, a data processing and fusion layer, an intelligent diagnosis and early warning layer and an application layer which are arranged in sequence from bottom to top by adopting a layered architecture, all the layers cooperate to achieve tunnel fan collision safety and equipment health two-dimensional management and control. Vibration, displacement, strain, temperature and power multi-source monitoring data are fused, single-parameter monitoring limitation is broken through, wind turbine typical faults such as bearing damage, coupling misalignment and foundation looseness and specific risks such as over-limit vehicle collision are covered, and a full-dimension monitoring system is constructed. By means of a deep belief network (DBN), a convolutional neural network (CNN) and an MATLAB core algorithm, and in combination with a fault-feature mapping library and a multi-evidence combined judgment mechanism, the fault diagnosis accuracy is greatly improved.

The invention relates to an alternating-current trunk line or an alternating-current power distribution network, in particular to a method for improving the stability of a wind power system through combined control of network construction type energy storage and a nine-switch UPQC. The method comprises the following steps: firstly, proposing an active regulation and inertial support control method based on a virtual synchronous machine mechanism for network construction type energy storage; and secondly, by constructing a coordination control framework, dynamic response complementation of the energy storage system and the UPQC under disturbance is realized, so that the overall frequency stability and voltage supporting capability of the system are improved. And finally, building a system model in Matlab / Simulink, setting three typical working conditions of wind power fluctuation, frequency disturbance and serious voltage drop, and carrying out scheme validity verification. Simulation results show that the method can effectively stabilize the wind power output fluctuation, enhance the frequency and voltage support capability, and significantly improve the stability of a wind power system.

The invention discloses a reactive compensation equipment fault automatic early warning system based on an intelligent algorithm, which belongs to the technical field of intelligent power grids and comprises a fault data acquisition module, a feature processing module, a fault diagnosis and evaluation module and a visualization module. Matlab software, Simulink software, a configurable point fast Fourier transform algorithm, a fluorescence imaging technology, a capacitive detection technology and a related intelligent algorithm are combined, reactive power compensation equipment fault analysis is carried out from three angles of a lightning arrester, a capacitor and a reactor, and the fault of the reactive power compensation equipment is analyzed in a chart form. And the visual output of the output result of the reactive power compensation equipment fault diagnosis model is realized. According to the invention, intelligent and precise diagnosis and visual early warning of reactive power compensation equipment faults are realized by comprehensively collecting multi-dimensional data of the lightning arrester, the capacitor, the reactor and overall compensation.

The invention relates to a method for establishing an SIL dynamic evaluation model based on Weibull distribution, and belongs to the technical field of safety protection systems. The method comprises the following steps: (1) establishing a dynamic cumulative failure probability function model based on Weibull distribution according to obtained failure data through a reliability test; (2) calculating Weibull distribution parameters by using a median rank method, a linear regression fitting method and a least square method; (3) drawing a function model image by using MATLAB software; and (4) in combination with a fault tree method, establishing an SIL dynamic evaluation model based on Weibull distribution. According to the SIL dynamic evaluation model for the final executive component of the safety instrument system based on Weibull distribution, the dynamic change trend of the final executive component PFDavg along with time obtained by the model basically accords with the reality, the accuracy of SIL evaluation is improved, and scientific method support is provided for design personnel of the safety instrument system.

The invention discloses a multi-machine collaborative welding autonomous decision-making and virtual-real closed-loop control system based on an LLM scheduling center. The multi-machine collaborative welding autonomous decision-making and virtual-real closed-loop control system comprises a welding seam real-time sensing module, an intelligent task decomposition and scheduling planning module, a multi-round iteration autonomous decision-making module and an execution and real-time closed-loop control module. Through YOLOv5s, in combination with a coordinate attention mechanism and RGB-D visual perception, welding seam classification and three-dimensional track extraction are achieved; fusing an infrared thermal image and temperature sensing to realize molten pool state identification and temperature field prediction, and generating a Ccontinuous fitting track and a heat balance parameter; task decomposition and collaborative planning are completed based on a knowledge graph and LLM reasoning, and a dynamic optimal scheme is formed through MATLAB optimization and VR simulation multi-round verification; and finally, synchronous welding of multiple mechanical arms is achieved through VR interpolation and TCP / Modbus layered control. A sensing-planning-execution-feedback full-closed-loop heat management framework is constructed, heat input balance and deformation suppression are achieved, and the precision, stability and intelligent level of multi-machine collaborative welding are remarkably improved.

The invention provides an intelligent metasurface-assisted non-line-of-sight target DOA estimation method based on atom norm minimization. After a receiving end obtains an echo signal, the echo signal is left multiplied by a known channel vector pseudo-inverse, the influence of an RIS backward channel is eliminated, and an angle estimation problem is converted into a convex optimization problem; a convex optimization problem is solved by using a CVX toolbox in Matlab, two one-dimensional Toeplitz matrixes respectively containing DOD and DOA information are constructed, the two one-dimensional Toeplitz matrixes are respectively subjected to one-dimensional Vandermonde decomposition to solve a signal angle, and joint estimation of the DOD and the DOA is realized. According to the method, the active regulation and control capability of the RIS is enhanced, so that the problem that DOA estimation precision and calculation efficiency in a traditional non-line-of-sight scene are difficult to consider at the same time is effectively solved, and the real-time performance of azimuth angle estimation is remarkably improved while relatively low calculation complexity is kept; and particularly under the conditions of low signal-to-noise ratio and low snapshot number, high-precision estimation of the target orientation can still be realized.

This invention discloses a distributed MIMO radar resource allocation method for integrated reconnaissance, interception, and communication, belonging to the technical field of radar resource allocation. It aims to solve the performance balance problem under multi-task coordination in distributed MIMO radar air combat scenarios. An integrated reconnaissance, interception, and communication adversarial scenario is constructed, using the lower bound of position estimation error (SPEB), missile detection probability, and inter-node communication capacity as performance evaluation indicators for reconnaissance, interception, and communication, respectively. Then, with the goal of minimizing the total system transmit power, a model is constructed by combining relevant performance constraints and node task rules. Finally, the model is transformed into a mixed-integer second-order cone programming problem, and the non-convex terms are convexified using the McCormick envelope method. A numerical solution is obtained based on the CVX solver in MATLAB, achieving joint optimization of node task allocation and power allocation. This invention reduces the total transmit power while satisfying three types of performance requirements, achieving efficient waveform resource scheduling and improving the practicality and robustness of radar countermeasures.

The application discloses a simulation processing method for CCFL phenomenon of a downcomer based on RELAP5, and specifically comprises the following steps: S1, obtaining geometric parameters and operation condition parameters of the downcomer, making a node division scheme, and obtaining node information, wherein the node information comprises a number of circumferential nodes, a number of axial nodes, and a number of single pipe nodes between multiple pipes; S2, writing a RELAP5 program on an Input card, performing a thermal hydraulic calculation, and obtaining a first parameter which changes in real time; S3, extracting a second parameter through a strip card to obtain a third parameter, wherein the third parameter comprises gas-liquid phase flow, pressure and velocity; S4, importing the third parameter into a processing software MATLAB, reading a fourth parameter of the gas-liquid phase according to the node information set in S1; and S5, performing two-dimensional cloud chart drawing on the fourth parameter in S4. The application can quickly obtain required results under different node division schemes and different geometric parameters and operation parameters, and improve analysis efficiency.

The invention discloses a high-precision coordinate calculation method based on Matlab, and belongs to the field of coordinate calculation technology and data processing, and the method comprises the steps: firstly, obtaining the combination of all points and vectors through a specific combination generation function, and then initializing a result vector; aiming at each combination, calculating intersection point coordinates and parameters by virtue of an accurate geometric intersection point calculation function, storing the intersection point coordinates and parameters in a result vector, and distributing the intersection point coordinates and parameters to a working area according to a rule by virtue of a working area assignment function; then, a midpoint coordinate matrix is obtained by applying a midpoint calculation function based on the coordinates of the intersection points, the distance between the points is calculated, a clustering center is determined by adopting a clustering algorithm, points of an intersection point concentrated area are screened out according to distance characteristics in a cluster, and finally, high-precision coordinates are calculated through a weighted average calculation function in combination with priori knowledge and weights. According to the method, the coordinate calculation precision can be effectively improved, good noise immunity is achieved, priori knowledge can be fully fused, and the method is suitable for numerous fields with high coordinate precision requirements.

A kind of block discrete element-finite element combined modeling gas enrichment zone intelligent identification method, collects the stratum geological data and mine production data of abandoned mining area;Obtain stratum mechanical parameters and gas occurrence parameters;Establish a three-dimensional mine geological model in block discrete element UDEC;Carry out excavation, balance simulation of stoping section, and extract the stope fracture image after excavation;The stope fracture image is imported into image recognition software Coreldraw, and the coordinates of each stope fracture are obtained;A space grid model is established in MATLAB, and the permeability is given by using the relationship between the coordinates of the stope fracture and the space grid;The obtained permeability is imported into finite element software COMSOL in the form of interpolation method for gas flow simulation, and the gas emission and enrichment area are comprehensively determined. This method can accurately determine the enrichment area of underground gas in abandoned stope, and can provide scientific guidance for the layout of ground gas extraction well.

This invention relates to a deep learning-based autonomous obstacle avoidance and path planning system and method for unmanned aerial vehicles (UAVs). The system includes: a perception simulation module, which uses multi-sensor joint modeling to achieve dynamic environmental reconstruction; a decision control and dynamics modeling module, which generates a series of control commands after acquiring fused perception data; and a scene interaction module, which realizes dynamic obstacle behavior modeling and multi-scene library access. The perception simulation module, decision control and dynamics modeling module, and scene interaction module are integrated with a ROS-MATLAB joint interface platform to achieve real-time synchronization and visualization analysis of multi-source heterogeneous data. This invention proposes a dynamic obstacle prediction model driven by multimodal data, using attention weights to dynamically allocate sensor confidence, reducing obstacle velocity prediction error to 0.12 m / s; and designs a hierarchical reward function and a priority experience replay strategy, improving the DRL training convergence speed to 40% and achieving a Pareto optimal state for path length and energy consumption.

The invention relates to a power grid analysis program code migration method and system based on a large model, and belongs to the technical field of software development and intellectualization. The method comprises the steps that preprocessing of structuralization, semantization and information density optimization is conducted on MATLAB source codes, and standardized codes are generated; disambiguation anchor point cue words are constructed based on a power grid calculation scene, wherein the disambiguation anchor point cue words comprise index, operation and return value mapping rules and examples; the standardized codes and the cue words are input into a large model, four-layer semantic alignment migration is conducted by the large model according to the sequence of an algorithm layer, a data layer, a control layer and a calculation layer, verification logic is executed after migration of each layer to ensure semantic alignment, and Python codes are obtained; and finally, verifying the migration code and iteratively optimizing the cue word until the core index is consistent with the MATLAB source code. According to the method, the problems of semantic ambiguity and nesting overload existing when a large model migrates a power grid program are solved through the integrated design of preprocessing, migration and verification, and high-precision and automatic code migration is achieved.

The invention discloses an unmanned underwater vehicle data processing and memory management method and system combined with a multi-language fusion technology. The method comprises the following steps: receiving and analyzing a user instruction based on a main control end, and determining algorithm calling logic; a compilation type numerical calculation module (such as Matlab DLL) is called through a first algorithm integration interface, and multi-source parameter fusion and correction are executed; calling an interpreted script algorithm module (such as a Python process) through a second algorithm integration interface, and executing artificial intelligence and deep learning quality control; and the cross-language memory management module is used for performing unified management and control on memory interaction of the hosting codes and the non-hosting codes. And the memory management module realizes active recovery of the memory by maintaining a running state class and a queue to be released on the basis of logic of coupling of a service time sequence and a function code. The method solves the problems of memory overflow and system robustness in a multi-language integrated environment, guarantees the high efficiency and reliability of massive observation data processing, and is suitable for the field of unmanned underwater vehicle detection.

The invention discloses a bionic butterfly flapping wing mechanism under symmetrical driving and a movement mechanism simulation method thereof, and belongs to the field of bionic machinery. The mechanism adopts a single-input and double-output symmetrical driving topological structure and comprises a driving subsystem, a transmission subsystem and an output subsystem, and differential amplitude and phase difference swinging of front and rear wings under single driving is realized through geometric asymmetry of a transmission chain and position offset of a supporting point. According to the simulation method, a mechanism model is constructed based on ADAMS, kinematics simulation is carried out, simulation data are processed through MATLAB, a difference amplitude ratio and a phase difference are calculated, and mechanism motion characteristics are verified. The device is compact in structure, simple to drive, controllable in difference amplitude characteristic and reliable in simulation method, is suitable for flapping wing structure design and optimization of a miniature bionic flight platform, and provides a new design thought and theoretical support for a multi-wing bionic flight mechanism.

The application discloses a method for analyzing the interaction of multiple grid-connected inverters based on matrix norm theory, and aims at the interaction between grid-connected inverters, takes a power distribution system containing two grid-connected inverters as an analysis object, establishes an equivalent grid-connected model containing two inverters based on the Norton theorem, derives a transfer function matrix of a control system, and quantitatively analyzes the relationship between the interaction between inverters and the system frequency, equivalent grid-connected inductance and controller combination mode based on the spectral norm and condition number of the transfer function matrix, so as to provide a reference for the coordinated control of the inverters. A simulation model is built in Matlab / Simulink for analysis. The application provides a simple and effective method for analyzing the interaction of inverters, and provides a theoretical method for the coordinated control of the inverters.

The invention relates to the technical field of ship power system control, in particular to a diesel-electric hybrid power ship energy management method and system based on mode division, and the method comprises the steps: dividing operation modes in a mode division layer by combining working conditions with the state of charge (SOC) of an energy storage system, and adopting an A-PSO pressure drop compensation droop control method in an equipment control layer, according to the method, the quick response of the hybrid power system to the load power requirement is realized, the bus voltage and the energy storage SOC are always in a reasonable working interval, the self-adaptive control of the power battery and the energy storage system of the ship in different operation modes is realized, the durability of the energy storage system is improved, and the replacement cost of the power battery and the operation cost of the hybrid power system are reduced. A PDEHS simulation model is established through Matlab / Simulink software, and the effectiveness and feasibility of the method are verified.

Method for obtaining a high-quality, purely chemical NMR shift spectrum, characterized in that it comprises the following steps: 1) Using the Matlab program to simulate a free induction attenuation signal and thus generate a purely chemical shift spectrum dataset for random NMR waves, and performing a Fourier transform of the FID signal to obtain a purely chemical NMR shift spectrum dataset and a corresponding labeling dataset; 2) Simulating the real-time ZS spectra as input data for a neural network by generating different chemical shift values, different signal-to-noise ratios, different spectrum peak intensities, different lateral relaxations, and different coupling strengths, and simultaneously simulating an ideal pure shift spectrum whose chemical shift, spectrum peak intensity, and lateral relaxation correspond to the simulated real-time ZS spectra, without coupling intensity information, without noise, and without data splice pseudopeaks as label data; creating a dataset with the input data and the label dataset, and dividing the dataset into a training set and a test set, which contains test data; 3) Perform preprocessing of data normalization for all datasets, including training set and test set; 4) Designing a structure of a neural network model of high-quality, purely chemical shift spectra that can achieve effects such as noise reduction, pseudopeak removal, linewidth reduction, and other effects; 5) Using the test data to test the neural network model, inputting the test data after preprocessing into the neural network model to obtain high-quality pure chemical shift spectra in order to output a high-quality pure chemical NMR shift spectrum that corresponds to the real-time ZS spectrum.

This application provides a portable oil and gas well fluid level monitoring system and method, relating to the field of underground wellbore fluid level monitoring technology. The system includes: a virtual instrument platform configured with a LabVIEW-based program for casing pressure signal acquisition and control, a sound-generating device control program, and a sound wave signal acquisition program; a portable acquisition instrument including: a USB data acquisition card, a pressure transmitter, a sound-generating module, and a microphone; the pressure transmitter acquires pressure information at the inlet of a normally closed solenoid valve within the sound-generating module; when the pressure information reaches a preset pressure, a pressure ready signal is generated; when the pressure ready signal is valid, the sound-generating module is controlled to generate infrasound; and the infrasound reflection signal received by the microphone is acquired, processed by a MATLAB-based signal processing program, and displayed in the user interface of the sound wave signal acquisition program. The implementation method provided in this application is beneficial for improving the efficiency and safety of oil well production.

This invention belongs to the field of optical computation and simulation technology, specifically a rotationally symmetric optical field modeling method based on FD-BPM in cylindrical coordinates. This invention uses Matlab as a platform to create models of optical elements, including setting the morphology, refractive index, wavelength, amplitude, and wavefront of the incident light field. Based on beam propagation and the finite difference method with boundary conditions, the near-field and far-field optical fields at arbitrary positions of the rotationally symmetric optical element are calculated. This method can obtain various optical information modulated by the optical element, including intensity and phase information at arbitrary positions in the near and far fields, thereby calculating transmittance, focusing efficiency, depth of focus, and focal spot size. This invention greatly improves the accuracy and computational efficiency of optical simulation, and can significantly shorten the development cycle and reduce experimental costs in the design and optimization of large-aperture, short-wavelength focusing optical elements.

The application discloses a Modbus communication library adaptation method under a MATLAB and CCS combined development mode, which comprises the following steps: writing a Modbus drive code unit, creating a Simulink module for the Modbus drive code unit by using a code inheritance tool, setting the code related to a DSP hardware drive to a state of exempting from compilation and completely reserving during the creating process, restoring the code related to the DSP hardware drive to an executable state after the creating process, encapsulating a plurality of created Modbus drive modules to form a Modbus drive module library, calling the modules in the Modbus drive module library in Simulink to build a Modbus communication model and generate code, and deploying the code to a DSP. The method can break away from the limitation of hardware resources provided by MATLAB for DSP development, quickly complete Modbus-based communication development based on the self-written Modbus drive code, and has the advantages of high development efficiency, easy integration and the like.

The invention provides a traction converter control software design method fused with a large language model, and the method comprises the steps: analyzing a historical document through a large language model subjected to the fine adjustment of traction converter field data, generating a structured demand, and building MATLAB demand tracing; an initial model is built in Simulink according to requirements, and multi-target iterative optimization is completed through model recommendation parameters; normal, extreme and fault working condition scenes are generated through the large language model, MATLAB batch simulation is driven, and a semantic analysis result is given; codes are automatically generated through an Embedded Coder, readability and real-time optimization is implemented through a large language model, and a final code is output after PIL verification; codes are downloaded to a real control board card, a closed loop is formed in combination with a virtual traction system built by a semi-physical simulation platform, a test case is automatically generated by a large language model, software and hardware collaboration data are analyzed, and iteration is carried out until the performance reaches the standard. According to the method, full-process AI driving including requirements, modeling, simulation, codes and testing is achieved, the development period is remarkably shortened, and the software reliability is improved.

This invention discloses a collaborative optimization method for electromechanical control parameters of a dual-switched reluctance electric drive system, belonging to the field of electric drive system optimization technology. The method employs a "double-layer nested optimization" architecture: the inner layer targets motor torque / radial force fluctuation, losses, and efficiency, optimizing control parameters such as switching angle and phase current reference values ​​using the SA simulated annealing algorithm; the outer layer targets the total system mass, total losses, and efficiency under typical operating conditions (such as CLTC), optimizing motor structural parameters (stator outer diameter, air gap) and gear transmission parameters (transmission ratio, module) using the particle swarm optimization algorithm. During the optimization process, a finite element model is established using JMAG, a dynamic model is built using Simulink / Matlab, and Isight is used for automated iteration. A "constraint judgment-parameter adjustment" loop ensures that dynamic and strength requirements are met. This invention can improve system efficiency, reduce mass, and decrease torque fluctuations, making it suitable for scenarios such as new energy vehicles and wind power generation, and solving the problem of poor collaborative optimization in existing modular systems.

The application discloses a kind of microcosmic traffic simulation parameter calibration value data processing method of group difference minimum, it is related to traffic safety and traffic simulation technical field.The method is realized by accurate measurement and fine operation to simulation model parameter, and the optimization of microcosmic traffic simulation parameter.Firstly, by setting traffic volume, speed, vehicle type composition, running time and other parameters, using VISSIM simulation model and MATLAB realizes simulation calibration program.Then, the program is run, and the parameter calibration result is obtained, and the average value and standard deviation of each parameter are calculated.Subsequently, the difference between the parameter and the average value is calculated, and the size of the difference and the standard deviation is compared, and the data that does not meet the condition is eliminated.Finally, the group data that the error of each parameter is within the standard deviation range is retained, the difference value of each parameter is obtained, then the data is arranged, and the data difference minimum is taken out as the final parameter value result.The method can greatly improve the accuracy and reliability of simulation model.

The invention discloses a CFD-based wave glider multi-body dynamics simulation method and system, and the method comprises the steps: building an umbilical cable flexible dynamics equation through employing a concentrated mass method, and obtaining an umbilical cable flexible wave glider rigid-flexible coupling dynamics model through employing a floating body and submerged body dynamics equation as a boundary condition; the method comprises the following steps: constructing a geometric model of a floating body, a submerged body and a hydrofoil, creating a background fluid domain, carrying out regional division on the background fluid domain and the geometric model by utilizing Boolean operation, and constructing a hydrofoil-seawater bidirectional fluid-solid coupling CFD simulation model of the wave glider; building a co-simulation interface based on MATLAB-Fluent, executing time domain co-simulation and iterative updating based on the co-simulation interface, and obtaining power data in the operation process of the wave glider; according to the method, the flexible effect of the umbilical cable and the hydrofoil is introduced into the dynamic model of the wave glider, high-precision fluid-solid coupling of seawater and a structure is realized based on CFD, and the kinematics and dynamics behavior prediction precision in the operation process of the wave glider is improved.

The invention discloses a method for simulating a dynamic starting characteristic of a low-power Hall thruster, which comprises the following steps of: analyzing a transfer function form of each module, measuring input and output parameters of each module on a thruster entity, and obtaining a transfer function of each module through an MATLAB system identification tool box; rLC circuit structures corresponding to all the modules are designed respectively, transfer functions of the RLC circuit structures are made to be consistent with transfer functions obtained through system identification, parameters of all components of the RLC circuits are calculated, simulation is conducted through simulink, the parameters of the components are further adjusted and optimized, and simulation results are made to be basically consistent with dynamic starting characteristics and steady-state parameters of actually-measured parameters; and finally, the RLC circuits are connected according to the connection relation of all modules of the thruster. The simulated load device can be used for circuit simulation in the development stage of the PPCU and testing in the production stage and the system joint test stage, compared with a pure resistive load, the model can preposition the risk of poor dynamic matching between the PPCU and the thruster, performance optimization of the PPCU product is facilitated, and the iteration efficiency is improved.

The power distribution network operation risk assessment method based on the traffic flow propagation theory comprises the following steps: constructing a weather state transition model, and obtaining probability distribution under different meteorological conditions; establishing a photovoltaic output probability density function based on Beta distribution, and generating a photovoltaic output scene; establishing a space-time propagation model of photovoltaic disturbance in the power distribution network; introducing the dynamic influence of the line current on the temperature, and establishing a line resistance temperature correction model; on the basis of a load flow calculation result, establishing a load flow correction model based on LWR model output disturbance density; constructing a comprehensive risk assessment index system including dimensions of voltage out-of-limit, line overload, system loss and the like; and the established comprehensive risk assessment index system is applied to an IEEE 33 node system, simulation verification is carried out based on an MATPOWER software package in an MATLAB environment, and dynamic evolution characteristics of the operation risk of the power distribution network under a traffic flow propagation theory are analyzed. According to the method, through multi-dimensional modeling and a dynamic coupling mechanism, fine evaluation of the whole process from disturbance generation to propagation diffusion is realized.

The invention provides a hybrid active noise control method of a new variable step size LMS algorithm based on a piecewise function, and the method comprises the steps: 1, collecting original data through an acoustic sensor, and carrying out the preprocessing of the collected original data through MATLAB, and obtaining a reference signal; 2, dividing the convergence process of the LMS algorithm into an initial stage, a transition stage and a steady-state stage on the basis of the difference between the expected response signal and the filtered output signal, designing a corresponding step length function for each stage to obtain a segmented step length function, and obtaining a new variable step length LMS algorithm based on the segmented step length function; 3, verifying the convergence speed, the steady-state precision and the steady-state stability of the new variable step size LMS algorithm based on a mean square error (MSE); and step 4, realizing actual noise control of the industrial workshop based on the hybrid active noise control system fused with the new variable step size LMS algorithm. According to the method, the algorithm is rapidly converged, meanwhile, the high-steady-state noise reduction precision is guaranteed, and the noise suppression effect continuously approaches to the optimal effect.

This invention discloses a device for determining the compressive plasticity stage of recycled concrete based on acoustic emission and stress-strain analysis. The device includes: applying axial compressive loads to recycled concrete specimens under different working conditions, simultaneously measuring their acoustic emission signals and compressive stress-strain curves, and outputting an Excel spreadsheet containing the time, cumulative acoustic emission energy value, acoustic emission b-value, stress, and strain. A GUI interface is constructed using MATLAB, creating execution buttons, input boxes, result display areas, and graphical display areas. Callback functions for file selection and monitoring are defined based on the GUI interface. Acoustic emission, b-value, stress, and strain data are extracted from the specified Excel worksheet and interpolated. Functions are called to detect yield strength and the time and strain of complete failure, and the results are output. This invention can quickly detect the plasticity stage of materials by processing acoustic emission and stress-strain data, making data processing and result display more intuitive.

The invention relates to the technical field of craniocerebral injury biomechanical analysis, discloses a semi-automatic craniocerebral injury index CSDM extraction method, and aims to improve CSDM extraction efficiency, applicability and flexibility. The method comprises the following steps: a brain tissue area display state pre-selection step: importing a head model simulation result file into post-processing software, screening and retaining brain tissue entity unit components, hiding irrelevant components and recording parameters; a strain and volume frame-by-frame output step: compiling an automatic script based on a post-processing software secondary development function to realize frame-by-frame output of unit data; and an automatic operation step: automatically calculating the CSDM value of each frame based on the output file through a Matlab calculation program. According to the method, the problems that manual extraction is low in efficiency and prone to errors and a full-automatic method is poor in universality are solved through a manual preprocessing and automatic calculation fusion mode, and the method is suitable for various head models and supports craniocerebral injury mechanism research and clinical assistance.