413 results about "MATLAB" patented technology

The invention provides a CO2 sequestration simulation method based on transfer learning and a physical information neural network, which aims at a geological carbon dioxide sequestration process by combining the transfer learning and the physical information neural network, and comprises the following steps of: simulating and generating data by using a Matlab oil reservoir simulation tool box, and constructing a neural network basic model; the physical law of carbon dioxide migration in the porous medium is trained and learned through coarse resolution, then fine tuning is performed on the generated actual geological model data by adopting a migration learning strategy to adapt to different geological structures and injection conditions, and a neural network loss function is embedded in combination with a Darwest equation and a mass conservation equation to obtain a carbon dioxide migration model. Compared with a traditional numerical simulation method, the method has the advantages that the calculation efficiency is remarkably improved while the prediction precision is kept, and the method is suitable for carbon dioxide sequestration optimization and environmental risk assessment under complex geological conditions and has good industrial popularization value and environmental benefits.

The invention provides a real-time monitoring system and method for sorting of a digital twin-driven Delta mechanical arm. According to the system, firstly, a physical experiment platform is built, and a virtual model is built through SolidWorks, 3DMAX and Unity 3D. A communication framework is designed, and wireless communication of the PLC, the sensor, the mechanical arm, the conveying belt and the digital twin system is achieved. Positive and inverse kinematics analysis and Cartesian space trajectory planning are carried out on a Delta robot, and a related algorithm is packaged into an MATLAB function and compiled into a DLL library for C # calling. The system collects joint angle data in real time based on a rotary encoder, transmits the joint angle data to a digital twin system through an OPC UA protocol, and drives a virtual mechanical arm model after resolving, so that high-precision and low-delay virtual-real synchronous pose reconstruction is realized. In addition, the system also develops a collision detection function based on a bounding box algorithm, and performs visual detection by using camera calibration and a YOLO model.

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 discloses a Taylor space external fixation support PID control method based on an improved South goose algorithm, and belongs to the technical field of PID control, and the method specifically comprises the steps: 1, building a Taylor space external fixation support control model based on a PID controller; step 2, improving a South goose algorithm, including introducing boundary excitation and a chaotic elite strategy to initialize a population so as to give consideration to global and boundary exploration; an elitist retention and worst reset mechanism is adopted to ensure excellent solution inheritance and diversity; the global search efficiency is improved by utilizing a golden proportion reverse exploration method; multi-directional Levy flight is introduced to enhance the local optimal jumping capability; step 3, optimizing PID controller parameters by using an improved South goose algorithm to obtain optimal Kp, Ki and Kd; 4, simulating a PID (Proportion Integration Differentiation) controller of the control model by adopting MATLAB (Matrix Laboratory) and Simulink; the improved Swane algorithm can improve the adaptive control capability of the system, and enhance the stability and control precision.

The invention belongs to the technical field of new energy power generation and grid connection, and particularly relates to a wind power plant electric energy quality optimization method and system based on an improved particle swarm algorithm. Aiming at the problems of voltage fluctuation, frequency deviation and high harmonic content during grid connection of a wind power plant, a wind power plant simulation model is built through Matlab / Simulink, a multi-target fitness function is built according to the voltage deviation, the frequency deviation and the total harmonic distortion (THD), the self-adaptive inertia weight and learning factors of a particle swarm optimization algorithm are improved, and a wind power plant grid connection model is built. And dynamically adjusting voltage adjustment gain, reactive compensation amount and filter parameters. According to the embodiment, compared with a traditional method, the number of iterations is reduced by 40%, the voltage fluctuation suppression ratio is improved by 10%, the frequency adjusting time is shortened to be within 0.3 second, the THD is reduced to 2.1% from 5.2%, and the power grid stability and the electric energy quality are improved.

The invention discloses a power system time domain simulation method based on a physical information depth operator network model. The method comprises the following steps: initializing an MATLAB environment; calling actual example data; setting a fault type and a scene; performing time domain simulation by using a PST tool box; recording the data of the simulation curve and the state variable; preprocessing the data; generating and storing a training sample; initializing parameters of the depth operator network model; calling a training set and a test set; training parameters are set; determining key parameters; calculating a loss function; storing model parameters; and setting the feasibility and the actual effect of the fault scene verification model. By applying a DeepONet innovative algorithm, the calculation time of time domain simulation of the power system is greatly shortened, the efficiency of the method is far higher than that of a traditional numerical integration method, and the method can meet application scenes with extremely high real-time requirements; good generalization ability is achieved, and stable performance can be kept in different fault scenes; by embedding the physical constraint, the physical interpretability and reliability of the simulation result are improved.

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 discloses a synchronous generator excitation method based on mathematical modeling and gain scheduling, and relates to the technical field of synchronous generator control, and the method comprises the steps: building a synchronous generator global dynamic mathematical model comprising the electromagnetic dynamic characteristics of a stator winding, a rotor winding and a damping winding through a modeling module; a discretization simulation platform is constructed in a Matlab / Simulink environment by utilizing a simulation module, model parameters are corrected, dynamic adjustment is realized through a gain scheduling excitation controller, an automatic voltage regulator (AVR) adopts PID (Proportion Integration Differentiation) control and comprises a voltage deviation integral separation strategy, and a power system stabilizer (PSS) dynamically adjusts parameters of a lead-lag compensator based on active power. According to the method, the deviation between a model and an actual system can be reduced by more than 30%, the electromechanical oscillation damping ratio within the rated power range of 10%-150% is increased by 25%-40%, the harmonic content of exciting current is reduced to be lower than 5%, the stability of an electric power system and the electric energy quality are remarkably improved, the engineering practicability is high, and the method is easy to transform and upgrade on an existing synchronous generator.

The invention discloses a method for automatically calculating the waviness of an aircraft profile in an MATLAB environment, and the method comprises the steps: 1, obtaining the plane section point location data of the waviness of the aircraft profile based on the reverse point cloud data of the aircraft profile; and step 2, automatically calculating the airplane profile waviness in the MATLAB environment, including plane classification of point location data, three-dimensional coordinate system conversion, two-dimensional wave crest and wave trough point location calculation, wave crest and wave trough point coordinate system reverse conversion, waviness calculation and form report output on the point location data of the plane cross section obtained in the step 1 through a program in the MATLAB environment. Therefore, automatic calculation of the airplane appearance waviness is completed. According to the invention, the problem that the existing detection mode for the airplane profile corrugation is difficult to have convenient operability, detection precision and detection efficiency at the same time is solved.

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 relates to a MATLAB working condition prediction and ANSYS matching surface creep analysis method, and belongs to the technical field of mechanical engineering structure connection analysis and monitoring and computer-aided engineering software integration. The method comprises the following steps that a user inputs geometric parameters and typical working conditions through an MATLAB GUIDE interaction interface, and a system can generate a theoretical response curve of the matching surface pressure changing along with the magnitude of interference, the load and the rotating speed in real time and is used for evaluating the maximum allowable working parameter range. And then ANSYS is called to carry out batch finite element simulation, and actual contact pressure distribution and a creep strain cloud picture are obtained, so that the influence of different working condition combinations on the creep behavior of the matching interface is quantified. The method supports visual comparative analysis under the combination of multiple working conditions, and a user can intuitively master the evolution law and the creep development trend of the pressure distribution of the matching surface. The interactive critical failure discrimination module integrated in the system can automatically identify typical contact failure situations and perform significant annotation in images.

The invention relates to an air suspension controller function automation test system and a test method. The air suspension controller function automation test system comprises a cabinet which comprises a board card assembly and a real-time processor, and the board card assembly comprises an IO board card and a load board card; a tested air suspension controller; a real load; a CANoe software, a Notepad + + software and a MATLAB / Simulink software are operated on the upper computer; during working, the upper computer generates a control signal to trigger a test, the real-time processor sends an analog sensor signal, the controller calculates a target current, the shunt drives a real load and model update, and the controller generates an observation signal and returns the observation signal to the upper computer after a model state is fed back. The system and the method can realize full-working-condition automatic testing and improve the efficiency and the coverage range.

The invention discloses a coil structure-based length self-sensing method for high polymer twisted artificial muscle, which comprises the following steps of: firstly, enabling the artificial muscle to be equivalent to N equidistant circular current loops, establishing an inductance calculation formula by combining a Biot-Savart law and a magnetic field superposition principle, and breaking through the limitation of a traditional solenoid model on a helical angle; then through MATLAB numerical simulation and iterative computation, fitting to obtain a power function describing the relation between inductance and length; and finally, proposing a parameter dynamic correction mode based on single-time initial inductance measurement according to complex factors such as actual magnetic flux leakage and skin effect, and realizing rapid adaptive calibration by adjusting a parameter b. In a word, the method creatively combines theoretical modeling with experimental correction, the sensing precision in a dynamic stretching scene is remarkably improved while the inductance-length macroscopic trend prediction capability is ensured, dependence on a large amount of experimental data is not needed, and the method has good engineering applicability and is worthy of popularization.

The invention discloses a flexible riser vibration response characteristic analysis method, and relates to the technical field of ocean engineering. According to the method, a flexible riser vibration model is established based on a vibration theoretical model and a fluid control equation for vibration analysis, a theoretical time domain response curve of the flexible riser is obtained through MATLAB calculation, and then a flexible riser three-dimensional simulation model is established in an ANSYS Workbench integrated simulation platform. According to the method, a flexible riser three-dimensional simulation model is constructed, material constitutive parameters, boundary conditions and load application of the flexible riser three-dimensional simulation model are configured, then simulation is performed in an ANSYS Workbench integrated simulation platform by using the flexible riser three-dimensional simulation model, bidirectional fluid-solid coupling analysis is performed by coupling a Fluent flow field system and a Transient Stratum module, the radial displacement time history of the flexible riser under a preset working condition is obtained, and the radial displacement time history of the flexible riser under the preset working condition is calculated. And extracting resonance characteristics of the flexible riser. According to the method, the vibration response characteristics of the deep-sea flexible riser under the influence of internal and external fluids in the service process are accurately obtained, and a foundation is laid for guiding the structural stability of a deep-sea operation system.

The invention discloses an axial flow compressor blade anti-erosion optimization method facing a sand and dust environment, and belongs to the technical field of compressor blade anti-erosion design and optimization. According to the method, on the basis of a gas-solid two-phase flow erosion mechanism in a sand and dust environment, links such as working condition analysis, parameterization platform building, constrained multi-objective optimization method design, model building and optimization and index verification are integrated, and an integrated anti-erosion optimization process is formed. CFturbo, AutoGrid, CFX and Matlab are called in a unified mode through a Python script, automatic coupling of geometric modeling, grid division, gas-solid coupling simulation and an intelligent optimization algorithm of the blade is achieved, and collaborative optimization of aerodynamic performance and erosion resistance can be achieved under the constraint of erosion wear. Compared with a traditional method which depends on experience modification or single simulation, the method has the advantages that the optimization efficiency is remarkably improved while the simulation precision is guaranteed, the personal error risk is reduced, and the method can flexibly adapt to different compressor models and diversified operation conditions.

The invention discloses an electric power system flexible resource planning method, system and device considering multi-time scale extreme weather and a storage medium, and relates to the technical field of electric power system planning, and the method comprises the steps: generating a multi-time scale extreme weather scene based on a conditional diffusion model; constructing a flexible resource planning model of the mixed time scale power system; and calling a Gurobi solver by using a Yalmip toolkit of Matlab to solve the flexible resource planning model of the mixed time scale power system, and outputting an optimal planning scheme of flexible resources of the power system. According to the method, the multi-day extreme weather scene is generated based on the conditional diffusion model, spatial-temporal characteristics of multi-day extreme weather such as typhoon and high temperature can be accurately described, and compared with other methods, a diversified scene set with more statistical coverage can be reconstructed under limited historical extreme data; and a multi-time-scale operation scene basis with typicality and extreme property is provided for power system planning.

The invention relates to a programming language migration operation method and device, an M language function can be recognized from M language script codes and converted into a Python function, in addition, for other codes with complex M language grammar forms, the other codes can be uniformly mapped and converted into the Python function, and through the functions of context and the like in the Python function, the programming language migration operation can be achieved. Different functions are implemented or different processing logics are executed for different types. The realization difficulty is greatly reduced, complex functions can be quickly realized, and the M language can be effectively operated without depending on a core library of Matlab.

The invention discloses an MATLAB-based turbine blade surface coordinate system establishment and film hole definition method, which is characterized in that a local coordinate system is constructed through parameterized grids, accurate design and spatial positioning of geometric parameters of film holes are realized, firstly, blade molded lines are partitioned, and body-fitted grids are generated; calculating flow direction, spanwise direction and normal direction unit vectors based on the grid nodes to establish a local coordinate system; through mathematical definition of an inclination angle and a compound angle, film hole parameterization design is completed under a local coordinate system and mapped to a global coordinate system to generate an inlet coordinate and an outlet coordinate. By means of the method, the problems that in a traditional two-dimensional projection method, parameters are fuzzy, and the degree of freedom of adjustment is low are solved, high-precision and iterative air film cooling hole design is achieved, and an efficient technical means is provided for cooling performance optimization and manufacturing of aero-engine turbine blades.

The invention relates to an LPDDR4X simulation method and system based on a statistics theory. The method comprises the steps that a single-byte BYTE time domain simulation platform used for simulating LPDDR4X signal transmission characteristics is constructed; routing delay analysis is carried out on packaging and PCB channels corresponding to each signal in the single-byte BYTE, time sequence inconsistency in signal transmission is captured, and then the influence of phase crosstalk noise on eye height is captured; carrying out pulse response analysis on the signal, and quantifying ISI noise basic data caused by packaging and a PCB channel; independently analyzing the influence of crosstalk noise on each signal to obtain direct influence data of noise on eye height; processing ISI noise basic data and direct influence data by utilizing an MATLAB script, and extracting a main cursor voltage value, an ISI noise amplitude and crosstalk noise; according to the main cursor voltage value, the ISI noise amplitude and the crosstalk noise, the final eye pattern eye height is calculated. According to the method, the problem that a traditional simulation method is insufficient in eye pattern height evaluation is solved, and more accurate and efficient simulation support can be provided for high-speed low-power-consumption DDR design.

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 a thermal elastic structure joint topological optimization method based on MATLAB and ABAQUS, and belongs to the technical field of thermal elastic structure optimization design. Firstly, finite element models of mechanical loads and thermal loads are established in ABAQUS, and files are exported; then calling an ABAQUS operation model in MATLAB, extracting core data such as nodes, units and a stiffness matrix, and constructing a parameterized thermodynamic finite element model based on an SIMP method; calculating a function value and sensitivity by taking volume minimization as a target and taking global stress and temperature constraint as conditions; and finally, iteratively optimizing the design variables by adopting a moving asymptote algorithm, and obtaining a final topological configuration through a filtering method. Through deep cooperation of MATLAB and ABAQUS, core finite element data of commercial software is extracted at a time for optimization iteration, repeated data generation and interaction are avoided, the calculation efficiency is greatly improved, and an efficient solution is provided for processing the topological optimization problem of stress and temperature constraints under complex heat-force loads.

The invention discloses a joint simulation solving method for a fuel oil thermal management system, and the method comprises the steps: determining a heat sink model through a thermophysical parameter iteration process on an Aspen Plus platform, and calculating the thermophysical parameters of each heat sink along with the changes of temperature and pressure; in the MATLAB / Simulink platform, the storage temperature T0 and the storage pressure P0 are determined according to the physical property of the fuel oil, the mass flow of the fuel oil is solved in a circulating mode through the heat source temperature iteration process, and the heat absorbed by the fuel oil at the FADEC system, the fuel oil pump, the airborne equipment and the engine heat source and the outlet fuel oil temperature are calculated in combination with a heat source module; the heat exchanger adjusts the flow of the consumable heat sink through the heat sink flow iteration process to reduce the fuel oil to the initial temperature T0; the joint simulation platform finally solves various performance evaluation indexes of the system according to feedback results of thermophysical property parameter iteration, heat source temperature iteration and heat sink flow iteration, the coupling mechanism between the heat exchanger module and the heat sink is clarified, and the problems that a traditional modeling method is single and poor in accuracy are solved.

The invention belongs to the technical field of landslide identification and prediction, and particularly relates to a landslide distribution probability prediction method and system based on remote sensing data, and the prediction method comprises the following steps: step 1 to step 6, selecting a research area, capturing remote sensing data, describing a curved surface form of the research area, and constructing a digital elevation model; after screening, introducing elevation data into MATLAB software, and drawing a three-dimensional topographic map in a three-dimensional coordinate system; constructing a landslide probability model, simulating variables in the landslide, deducing seismic data, and deducing slope data; constructing a WGEN model, and deducing a precipitation density function of the research area based on GAMMA distribution to realize precipitation simulation; the prediction system comprises a web crawler module, a local database, a processor and a touch screen. According to the method, the elevation and rainfall of the plateau area are associated, multiple models are constructed, the landslide distribution probability accuracy is high, and risk early warning can be carried out within 3 hours after an earthquake.

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.

The invention discloses a water chilling unit multi-component coupling modeling and dynamic simulation method based on Simscape, and belongs to the technical field of heating ventilation air conditioners, multi-physical field simulation models of a compressor, a condenser, an evaporator and a thermostatic expansion valve are constructed in a modular mode, and four main stages are achieved in a system level. State evolution and thermal conversion of compression, condensation, throttling and evaporation; the modeling process is combined with thermodynamics, fluid mechanics and heat transfer theory principles, and adjustable modeling is carried out on internal thermophysical property equations, structural parameters and flow boundaries of all assemblies by utilizing a Matlab / Simscape language, so that a complete closed-loop dynamic simulation system is formed. By adopting the Simscape-based multi-component coupling modeling and dynamic simulation method for the water chilling unit, the integration of component-level modeling, system-level coupling, adjustable parameter setting and simulation checking can be realized, and the accuracy, universality and engineering adaptability of the model are improved.