31 results about "SIMPLE algorithm" patented technology

The invention relates to the technical field of particle state detection, in particular to a shield sealed cabin muck state visualization system and method.According to the shield sealed cabin muck state visualization system and method, through stress direction difference matching of an SIMPLE algorithm, inter-particle shear strength distribution is converted into a computable parameter set, quantitative extraction of shear characteristics can be achieved in a complex stress environment, and the detection accuracy is improved. Stable mechanical boundary conditions are provided for flow state calculation, a numerical coupling model of momentum exchange is established, judgment of turbulent fluctuation and slow flow partitions in a flow field does not depend on empirical thresholds any more, characteristic value changes of a mathematical matrix serve as partition bases, the adaptability and accuracy of flow field partition are enhanced, and the flow field partition efficiency is improved. A main load channel in a particle contact network can be automatically identified through combination of an intensity matrix and a centrality algorithm, the connectivity is used as a core calculation index for path sorting, the structural hierarchy of load transmission is clearly presented, and a stable matrix is formed based on weighted superposition of a path shearing and supporting force ratio. Extreme point extraction enables low-stability region identification to have quantification precision.

An object motion pose reproduction method based on a Marker ball comprises the following steps that firstly, size measurement is carried out on a target object, a model file is generated through three-dimensional scanning, and denoising and zooming optimization are carried out; then, a reflective Marker ball is pasted on the surface of an object, and three-dimensional coordinate data of the reflective Marker ball are collected through an optical motion capture system; then, a template group is constructed based on the initial Marker ball position of the object, a target group is constructed in combination with motion capture data, and a rigid body transformation matrix containing a rotation matrix and a displacement vector is solved through least square optimization; and finally, acting the transformation matrix on the model file to reproduce the pose, and reversely optimizing the modeling precision or the Marker point position through error analysis. The object motion pose reproduction method is high in precision, strong in anti-interference capability, simple in algorithm and suitable for the fields of industrial automation, movie and television games and the like.

The invention relates to the technical field of laser measurement, and particularly discloses a paper roll specification measurement device and an installation method, and the measurement system comprises the steps: S1, obtaining the position information of a first range finder and a second range finder; s2, obtaining multiple groups of distance values of the paper roll detected by the first range finders and the second range finders, removing abnormal distance values through an algorithm, and then calculating the residual average value to obtain a value required by the breadth calculation of the paper roll to be detected; s3, according to a breadth measurement mathematical formula, automatically solving a paper roll breadth value W; when the paper roll specification measuring device calculates the specific value, abnormal data are eliminated through an algorithm, and the value is more accurate. And when the angle cosine value is calculated by the measuring device, the method of measuring at a plurality of positions by adopting the actual and accurate breadth value of the same paper roll, eliminating abnormal measurement data through an algorithm and calculating an average value is adopted, and compared with the prior art, the method has the advantages of small data volume, simple algorithm and high precision.

The invention discloses a method for rapidly evaluating an S parameter of a multi-layer PCB port in a multi-stage waveguide structure, and the method comprises the steps: decomposing a system into a plurality of mutually independent subsystems, representing a propagation channel of electromagnetic energy as a signal pipeline, and representing a reflection position of the energy as a reflection node, thereby building a signal energy flow diagram of the system. On the basis, scattering parameters of the subsystems are obtained through a numerical simulation method, and a corrected BLT equation capable of representing the electromagnetic field-circuit bidirectional coupling relation between the subsystems is deduced in combination with propagation equations of all signal pipelines and scattering equations of all reflection nodes of the system; and the S parameter of the multi-layer PCB port in the multi-stage waveguide structure can be obtained by solving the equation. The method has the advantages of being simple in algorithm, accurate in result, high in efficiency and the like, is suitable for a multi-stage waveguide structure of any geometrical shape, and can achieve rapid evaluation and analysis of the electromagnetic coupling effect in electronic equipment with a waveguide-shaped shielding structure in a complex electromagnetic environment.

The invention provides an elevator brake failure early warning device, and relates to the technical field of elevators. According to the failure early warning device for the elevator brake, the temperature sensing assembly, the vibration sensing assembly, the torque sensing assembly, the air gap sensing assembly and the pressure sensing assembly are arranged through the sensor module, so that a plurality of key parameters such as the temperature of a brake shoe, a vibration signal, a brake torque, a brake air gap and hydraulic pressure or spring pressure can be collected in real time; the comprehensive monitoring of the working state of the elevator brake is realized; the data processing and analysis module applies a multi-dimensional data analysis technology, combines various failure judgment algorithms such as a simple algorithm based on threshold judgment, an intelligent algorithm based on pattern recognition and a prediction algorithm based on machine learning, and a data analysis model comprising a feature layer, a prediction layer and a decision layer; and the collected data can be deeply analyzed and processed, whether the brake has a failure risk or not is comprehensively judged, and the accuracy and reliability of early warning are greatly improved.

The invention discloses an optimal arrangement and curve estimation method based on IMU nodes, and belongs to the technical field of three-dimensional curve measurement and restoration. According to the method, initial nodes are generated through uniform sampling on a curve, and the sensitivity value of each node to a curve recovery error is calculated by using local attitude information collected by an IMU sensor, so that a local error distribution function is constructed. And aiming at the error sensitivities of different nodes, a density adaptive sampling strategy is adopted to realize the optimization of the overall node distribution. According to the method, the validity of the optimization point distribution strategy is quantitatively verified by combining an error evaluation index. Through the combination of density adaptive point distribution and spherical interpolation restoration, the method can significantly reduce curve reconstruction errors, improves the space efficiency of IMU arrangement, and is suitable for flexible cables and other three-dimensional curve accurate measurement scenes. The method has the advantages of being simple in algorithm, capable of achieving automatic point distribution, high in error control precision and the like, and an efficient and reliable technical scheme is provided for three-dimensional curve measurement and restoration.

The invention discloses an amplitude detection method for eliminating a multi-beam sounding sonar tunneling effect. The method comprises the following steps: collecting array element data of a receiving array; generating a beam forming amplitude data matrix according to the array element data; calculating a double-domain dynamic gain normalization matrix; calculating a sampling moment index corresponding to the amplitude maximum value of each receiving beam by using the double-domain dynamic gain normalization matrix, and calculating an amplitude detection time gate by using the index; and calculating propagation time: after the amplitude detection time gate is determined, solving the positions of the centroids of the beam forming amplitude data in all the receiving beam time gates by adopting a weighted average time method, and obtaining the propagation time corresponding to all the receiving beams. The improved amplitude detection method based on the double-domain dynamic gain normalization algorithm provided by the invention has the advantages of obvious tunnel effect inhibition, simple algorithm, no need of parameter setting, and convenience for engineering realization and application.

The present disclosure relates to the fields of data processing technology, specifically to map navigation, artificial intelligence, and other technical fields, and more particularly to methods, devices, and guide point determination methods for extracting polygon centerlines. A specific implementation involves obtaining a polygon's contour point sequence; inputting this contour point sequence into a centerline extraction model trained using a neural network; the centerline extraction model outputs a polygon's centerline point sequence, and based on this centerline point sequence, the polygon's centerline is obtained. The centerline extraction model, trained through deep learning, can predict the polygon's centerline based on its contour points, resulting in an accurate centerline prediction using a simple algorithm.

The invention discloses a multipoint average phase extraction method and system based on local Hilbert difference, and belongs to the technical field of signal processing. The method comprises the following steps: removing a direct-current component of a beat frequency signal; constructing a complex analysis signal through Hilbert transformation, and carrying out amplitude normalization to obtain a standard cosine signal; suppressing noise by using moving average triangular filtering; and selecting a plurality of fixed points in the middle section of each modulation period, calculating an initial phase through an arc cosine function, extracting and averaging phase variations of the plurality of points in combination with an uphill and downhill region judgment and period expansion mechanism, and outputting high-precision phase data. Amplitude correction and peak detection in a traditional method are avoided, and the method has the advantages of being simple in algorithm, high in real-time performance and high in stability and is particularly suitable for a frequency modulation continuous wave laser interference displacement measurement system.

The present invention provides a method and device for processing credit business data based on artificial intelligence, which relates to the field of intelligent decision-making technology and the financial field. The method includes: extracting risk factors corresponding to the credit business to be approved; determining the risk level corresponding to the credit business to be approved based on the risk factors and a preset risk mapping relationship; and approving the credit business to be approved according to the approval method corresponding to the risk level to obtain an approval processing result. The artificial intelligence-based credit business data processing method and device of the present application improves computing efficiency by distinguishing business risk types, adopting a more accurate calculation method for high-risk businesses, and adopting a computing model with a simple algorithm and small amount of computing for low-risk businesses, thereby reducing the amount of system computing and improving the operating efficiency of the automatic approval system.

The invention discloses a rotational inertia and friction torque identification method and system. The method comprises the following steps: establishing a kinematic model of a controlled object; analyzing the kinematic model of the controlled object to obtain the motion speed and the driving torque of the controlled object; and obtaining the rotational inertia and the friction torque of the controlled object according to the movement speed and the driving torque of the controlled object. The method provided by the invention is simple and easy to implement, the algorithm is simple, the calculated amount is small, the application range is wide, and the adaptive capacity of the control system to the load change is improved.

The present application belongs to the field of image processing and computer vision technology, and particularly relates to a sea-sky line real-time detection method and system. The present application divides the sea-sky line detection into two parts of coarse calculation and precise calculation. The first part is coarse calculation, the method of which is to down-sample and calculate a longitudinal gray gradient graph for the collected visible light or infrared image, to carry out threshold segmentation on the longitudinal gray gradient graph to obtain a binary image, to calculate the boundary of the binary image, and to calculate the approximate intercept and slope of the sea-sky line through hough transformation. The second part is precise calculation, the method of which is to search for the maximum value position of the image longitudinal gray gradient graph in the sea-sky line vicinity area of the longitudinal gray gradient graph calculated in the first part according to the sea-sky line intercept and slope calculated in the first part, to carry out hough transformation on the obtained position points, and then to calculate the accurate position and slope of the sea-sky line. The scheme has small calculation amount, small memory occupation, simple algorithm principle and high implementation efficiency.

The application discloses an aircraft wall ablation response data processing method based on an interpolation algorithm and relates to the field of ablation response data processing. The method comprises the following steps: ablation sites are laid out, and initial coordinate information of the ablation sites is output; coordinate information of ablation wall surface grid core points is acquired, and ablation site coordinates after ablation recession are calculated in combination with the initial coordinate information of the ablation sites; ablation information at the ablation sites is acquired, interpolation is performed on the ablation information based on the ablation site coordinates after ablation recession, and ablation information after interpolation is obtained; wall surface mapping is performed on the ablation information after interpolation, and continuous distribution of material ablation response on the entire ablation wall surface is acquired. The method can realize interpolation processing of multiple ablation information in limited scattered ablation sites on a complex ablation surface, and has the advantages of simple algorithm, strong applicability and high calculation efficiency compared with typical two-dimensional or three-dimensional interpolation algorithms.

This invention discloses a high-performance speed control parameter optimization and self-adjustment method for switched reluctance motors under variable speed and load conditions, comprising the following steps: constructing a mathematical model between the optimization object and the optimization target; obtaining n sets of load torque, speed, and acceleration data; using a reinforcement learning algorithm to obtain the corresponding optimal control parameters; using a numerical fitting method to obtain the functional relationships between each optimal control parameter and the load torque, speed, and acceleration; obtaining the optimal control parameters under the current operating condition; and implementing control of the switched reluctance motor based on the obtained optimal control parameters to achieve optimal control of the switched reluctance motor throughout the entire process under variable speed and load conditions. This invention effectively improves the dynamic and steady-state performance of switched reluctance motors under variable speed and load conditions, and has the advantages of simple algorithm and easy implementation.

Embodiments of the present disclosure provide a coordinate system alignment method, a device, a storage medium, and a program product. The method comprises: acquiring the current pose of one's own device in a first coordinate system; under the current pose, acquiring image feature data of display content of a target device by means of a camera of one's own device, and on the basis of the image feature data, determining a relative pose of the target device in a camera coordinate system of the camera; and adjusting the origin of the first coordinate system to a target position on the basis of the current pose and the relative pose, achieving alignment with coordinate systems of other head-mounted devices of which the origins of the coordinate systems are adjusted to the target position. The method provided by the embodiments involves a simple algorithm, and a large amount of image or map data does not need to be transmitted between devices in the process, thereby achieving low cost and high efficiency.

This invention provides a novel, reversible data transformation method that, while employing a simple algorithm, offers the potential for data scrambling while simultaneously producing output of the same length as the original data. [Solution] The method calculates the Hamming weight of the input symbol sequence and reverses the symbol at the Hamming weight position from the start or end until the symbol sequence reaches a predetermined convergence state (e.g., all zeros). The history information obtained during this reversal process is encoded using delta coding and Huffman transform based on occurrence intervals, etc. Finally, padding is applied to the encoded data based on the original data length, and converted data with the same length as the original input symbol sequence is output. This makes it possible to achieve data transformation that eliminates statistical bias in the data and has both confidentiality and diffusion capabilities, despite being a simple algorithm.

The invention relates to the technical field of concrete 3D printing path optimization, in particular to a concrete 3D printing path optimization method and system based on reinforcement learning, and the method comprises the following steps: collecting structure, equipment and environment parameters through an equipment sensor, and preprocessing the parameters into state information; a digital twinning environment and reinforcement learning model framework is synchronously constructed, a multi-stage training module, a lightweight inference engine and a constraint adaptation module are included, embedded deployment is adapted, and a digital twinning environment generates a path optimization simulation sample; establishing a multi-factor coupled rheological agent model based on the state information, associating an environment with an equipment state, and correcting rheological parameters in real time; and collecting a physical sample. According to the method, the reinforcement learning model framework is combined with the digital twinning environment and the multi-factor rheological agent model, so that the problems that the path optimization precision is insufficient and the printing quality is unstable due to the fact that most of traditional concrete 3D printing path optimization adopts fixed path parameters or simple algorithms are solved.

The invention discloses a coupling characterization method for multi-component variable mass fluid in a shaft. The coupling characterization method comprises the following steps: establishing a gas component-thermophysical property dynamic incidence matrix; through thermodynamic coupling calculation, the influence of the reaction process on the flow in the shaft is dynamically reflected; establishing a three-dimensional shaft control body, and simultaneously establishing a variable mass continuity equation, a momentum conservation equation and an energy conservation equation; boundary conditions are set, meanwhile, distributed heat source items are embedded in catalytic reaction sites, local component mass source items are synchronously updated, and a constraint system conforming to actual working conditions is provided for equation solving; and adopting an SIMPLER algorithm, carrying out iterative calculation through an iterative strategy until the residual error of the energy equation and the component transport equation meets the requirement, outputting the on-way temperature field and pressure field data of the shaft, and generating a dynamic map. According to the method, the complex conditions of variable temperature, variable pressure and variable components in the shaft can be responded in real time, and high-fidelity depiction of the real physical and chemical process can be achieved.

The invention relates to an umbrella skirt surface pressure inflection point-based hard composite insulator heavy pollution area determination method, which comprises the following steps of S1, constructing a flow field equation near an insulator by using an RNG k-epsilon equation model, solving by adopting a Phase Couple SIMPLE algorithm, and analyzing a flow field around the insulator after a steady-state value is reached; s2, performing two-dimensional planarization processing on the surface of the umbrella skirt of the insulator, constructing an x-z coordinate system, drawing a plurality of groups of concentric circle lines, extracting pressure numerical values on the circle lines on the surface of the umbrella skirt, constructing a pressure-coordinate pressure distribution equation, performing derivation on the equation, and recording a coordinate value when the derivative is zero, wherein the coordinate value is a pressure inflection point; s3, forming a fitting curve on the two-dimensional planarized umbrella skirt of the insulator; and S4, constructing a high-voltage transmission line composite insulator heavy pollution area, defining boundary points, determining the shortest distance between two arcs, and then calculating each parameter. The method is low in operation difficulty, wide in application range and high in accuracy.

The present invention provides a high-precision estimation algorithm for the phase difference of a sinusoidal signal with strong robustness to frequency error, and belongs to the field of information technology. The algorithm is mainly aimed at two noisy sinusoidal signals with the same frequency. First, a simple algorithm can be arbitrarily selected to obtain a signal frequency estimate; second, the obtained frequency estimate is used to frequency shift the signal; then, the spectrum value of the DFT transform of the frequency-shifted signal at zero frequency is calculated; finally, the phase difference between the two signals is calculated using the obtained zero spectrum line value. The algorithm can still accurately estimate the signal phase difference even when there is a significant error in the signal frequency estimate, effectively overcoming the transfer of frequency estimation error to phase difference estimation, and has a significant advantage in estimation accuracy, especially under high signal-to-noise ratio conditions, and can improve the accuracy by 1 to 2 orders of magnitude compared to traditional algorithms.

This invention relates to a far-field total magnetic moment measurement method based on the full magnetic gradient tensor, solving the technical problems of existing near-field measurement methods, such as inaccuracy in measuring large and complex magnetic moments, complex calculation methods, and bulky and expensive testing systems. This invention, based on the full magnetic gradient tensor, starts from the theoretical foundation of the far-field dipole equivalent method. In operation, the magnetic gradient tensor is measured instead of the magnetic field strength vector to obtain the measured magnetic moment, and the magnitude of the magnetic gradient tensor, a tensor invariant, is applied in the calculation. This method has advantages such as wide applicability, simple algorithm, ease of implementation, insensitivity to the Earth's magnetic field, and minimal influence from the attitude of the object under test and the testing platform.

This invention relates to a method for analyzing international hot topics in cyber warfare, belonging to the field of cyber warfare technology. Existing technologies suffer from chaotic analysis of real-time international hot topics, high error rates, and easily tampered logical systems. This invention provides an original analysis method, with core elements including: 1. Defining clear analysis objectives; 2. Emphasizing the analysis of "people" involved in the event; 3. Constructing a rational and reasonable event logic system to ensure rigorous and unbiased logic; 4. Relying on verifiable facts to support analytical conclusions, ensuring credibility; and 5. Building a long-term stable analysis model to achieve continuous and reliable judgment. This invention collects information from multiple sources and extracts core elements of "people" and "events," forming an event logic chain through correlation analysis, creating a tamper-proof logical system, and outputting a credible analysis report after verification. Furthermore, this invention features a simple algorithm, high training accuracy, significantly improved operating efficiency, and low model deployment cost, requiring no complex hardware support. It solves the pain points of existing technologies, provides reliable support for cyber warfare situational assessment, and is applicable to various scenarios involving real-time international hot topics.

This invention provides a gas detection method and system based on motion disorder determination. The gas detection method includes acquiring video images for moving target detection, obtaining a mask image and a grayscale image of the moving object; performing related image processing on the motion regions of the two images to obtain a foreground moving object image; sequentially calculating the grayscale centroid coordinates of the moving objects in the images according to a time sequence to obtain a grayscale centroid coordinate sequence; constructing a coordinate system using the coordinate points in the coordinate sequence, traversing and calculating radians to obtain a radian value sequence; using Gini impurity to describe the disorder level of the radian value sequence; and using Gini impurity as a judgment threshold to distinguish gas in the image from other moving interference objects. This method has a simple algorithm formula, low time complexity, fast computation, and low requirements for the computing system, which not only reduces detection costs but also allows deployment in embedded systems, making it highly practical.

This invention discloses a simulation method for predicting resin stirring time in the HP-RTM process, comprising the following steps: constructing a physical model of a resin mixing tank, and dividing the fluid domain in the physical model into a rotational domain and a stationary domain according to the structure and size parameters of the agitator set in the mixing tank; performing steady-state simulation of the resin stirring process in the physical model using a VOF model, and determining that the flow field of resin stirring has reached stability; adding a tracer to the bottom of the stable flow field of resin stirring to replace resin precipitation by marking unit regions, and setting its initial position and concentration, and then performing transient simulation using the SIMPLE algorithm; setting multiple monitoring points in the flow field of the transient simulation, and obtaining the time for uniform mixing of resin precipitation when the concentration of resin precipitation replaced by tracer shown by multiple monitoring points meets the 95% mixing principle.

The invention discloses a pipe network transient multiphase flow simulation method based on a finite volume, and relates to the technical field of pipe network simulation. According to the method, a geometric model is created by inputting pipe network geometric information, a local staggered grid containing pipelines and inner nodes is divided, global mapping is established, a gas-oil-water three-phase flow mathematical physical equation set is dispersed to obtain a local linear equation set, after the global equation set is assembled, an SIMPLE algorithm is adopted for solving, and transient simulation is completed according to the CFL number updating time step length. According to the method, the core problem of expanding the one-dimensional simulation technology to the pipe network is solved through the inner node special grid division and discretization method, the simulation precision and the calculation efficiency are both considered, the method is suitable for transient flow simulation of a large-scale pipe network transportation system, and design and control optimization of the pipe network can be effectively supported.

The invention provides a one-dimensional cooling loop flow-heat transfer coupling calculation method and system, and the method comprises the steps: carrying out the meshing of a cooling loop, obtaining a plurality of staggered main grids and speed grids, and determining the coordinates of each main grid and speed grid; constructing a flow-heat transfer control equation of the one-dimensional cooling loop according to the coordinates of the main grid and the speed grid, and then discretizing the flow-heat transfer control equation to obtain a discrete equation; setting an initial pressure field and an initial velocity field, and then performing coupling solution on the discrete equation by using an SIMPLE algorithm according to the initial pressure field and the initial velocity field to obtain a pressure field, a temperature field and a velocity field of the cooling loop. According to the invention, the problem that the flow and heat transfer process of the cooling loop is difficult to accurately and efficiently calculate in the prior art is solved.

This invention discloses a three-dimensional image stitching method for a white light interferometer. The sample to be measured is placed on a stage, and a motor moves and collects data in a serpentine path according to a set direction and step distance. Based on the platform movement and data acquisition patterns during large-scale measurements with a white light interferometer, the method automatically determines the data alignment, identifies the optimal feature matching path, and quickly achieves image matching, stitching, and cropping. Furthermore, by utilizing the motor's translational characteristic, the method compares the normalized standard deviation of overlapping regions, automatically searches for the optimal matching region, identifies the actual overlapping region, and completes image stitching. This method features a simple algorithm, low computational load, high speed, and high efficiency. It has low requirements for motor accuracy, low system cost, eliminates the need for manual judgment and selection of feature regions, automatically identifies overlapping regions, and completes image stitching. It boasts a high degree of automation and intelligence, low sample requirements, and is suitable for large-scale measurements of most samples, demonstrating strong versatility.

The present application relates to the technical field of granular state detection, in particular to a shield sealing cabin inner muck state visualization system and method, in the present application, through the stress direction difference matching of SIMPLE algorithm, the inter-particle shear strength distribution is converted into a set of calculable parameters, the quantitative extraction of shear characteristics can be realized under complex stress environment, the stable mechanical boundary conditions are provided for flow state calculation, the numerical coupling model of momentum exchange is established, the determination of turbulent flow and slow flow partition in the flow field is no longer dependent on empirical threshold, the eigenvalue change of mathematical matrix is used as the partition basis, the self-adaptability and accuracy of flow field division are enhanced, the combination of strength matrix and centrality algorithm enables the main load channel in the particle contact network to be automatically identified, the path sorting takes the connectivity as the core calculation index, the structural level of load transmission is clearly presented, the weighted superposition based on the path shear and support force ratio forms a stable matrix, and the extreme point extraction makes the low stability area identification have quantitative precision.

The application discloses a kind of building evacuation path calculation method, belong to building information model technical field, including establishing the plan of lamp and fire alarm, the lamp is two two directional connection, the fire alarm is undirectional connection with the lamp, and the plan is converted into directed graph data structure;Determine which lamps are prohibited to pass;According to safety exit creates evacuation path;Initialization the evacuation path;The evacuation path is calculated, and each to-be-searched branch on each the evacuation path is executed single-step breadth-first search inference;Obtain the calculation result of evacuation path.The building evacuation path calculation method of the application has high calculation speed, less memory occupation, simple and intuitive mathematical model, and simple algorithm logic.

The invention discloses a collaborative integrated system for preparing lithium carbonate based on salt lake brine and a simulation method of the collaborative integrated system, and relates to the technical field of integrated system simulation. The system comprises a first-stage pretreatment module, a third-stage nanofiltration module, a second-stage membrane distillation module, a first-stage resin adsorption module and a lithium carbonate crystallization module which are connected in sequence; through step-by-step pretreatment, selective separation, concentration, deep impurity removal and crystallization, and efficient removal of Mg < 2 + >, Ca < 2 + > and other impurities, lithium ion directional enrichment and high-purity lithium carbonate preparation are realized, the problems of low impurity removal rate and long lithium extraction period of a single process are solved, pure water can be recovered, and the resource utilization rate is improved. According to the simulation method, a full-flow two-dimensional integrated model is constructed in Fluent, physical field and boundary conditions are defined, porous area grids are refined, and multi-field data are solved by adopting an SIMPLE algorithm and are visualized, so that the blank that existing simulation lacks a system-level framework is filled, cross-module flow field and concentration field changes are accurately captured, traditional experimental trial and error are replaced, and the simulation efficiency is improved. Scientific basis is provided for system optimization and large-scale amplification, and the research and development cost and period are reduced.