128 results about "Engineering simulation" patented technology

The invention discloses a new energy automobile body frame lightweight design method based on digital twinning, and relates to the technical field of new energy automobile body structure design and computer-aided engineering simulation, and the method comprises the following steps: S1, building a digital twinning body connected with a physical automobile body sensing system; s2, a dynamic precision topology network module is used for dynamically dividing a simulation precision area of the vehicle body frame according to the mechanical energy transmission path and the real-time sensing data. According to the new energy automobile body frame lightweight design method based on digital twinning, intelligent allocation of computing resources is realized through a dynamic precision topology network, and the computing burden of multi-physics coupling simulation is effectively reduced while precise prediction of a key structure is ensured; the sharp contradiction among the model precision, the real-time response and the optimization efficiency is effectively solved, and effective closed-loop iteration of the lightweight design is achieved under the complex constraint condition.

The invention provides a method, a device and equipment for predicting corrosion current and corrosion of steel bars in concrete in a low-pressure environment, and belongs to the technical field of engineering simulation modeling. The method comprises the following steps: establishing a coupling transmission model in concrete considering oxygen concentration, sulfate ion diffusion behavior and chloride ion diffusion behavior; building a reinforcement corrosion current density and corrosion depth prediction model for predicting the number of charges at different positions of the reinforcement in the concrete, and calculating the corrosion depth and the corrosion product content based on the corrosion current density; and establishing a linear elastic damage model for simulating concrete damage evolution caused by steel bar corrosion according to the corrosion product content output by the steel bar corrosion current density prediction model so as to realize accurate prediction of corrosion and damage. According to the method, oxygen concentration changes under low air pressure are considered, oxygen diffusion is described, output of a transmission model serves as a dynamic variable to be introduced into the corrosion current calculation process, and the accuracy of corrosion current and steel bar corrosion prediction is improved.

The invention belongs to the technical field of engineering simulation data processing, and particularly discloses a finite element grid graph structure construction method and system, a terminal and a medium. Comprising the following steps: analyzing original full-amount grid data exported by finite element simulation, segmenting unstructured grid data into a grid vertex coordinate set and a grid unit mark number set, and constructing a graph edge topological structure corresponding to a grid based on a unit mark number relationship; on the basis, loading physical field data and adopting a tolerance-based coordinate matching algorithm to realize accurate mapping of physical field labels and material attributes with grid nodes; and generating standardized finite element grid graph data which can be directly used for graph neural network processing. By means of the method, high-consistency and high-physical-reliability conversion from the finite element simulation data to the graph structure data is achieved, and the physical field modeling and simulation acceleration capacity based on graph learning is improved.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

The invention discloses an intelligent fault injection and performance quantification system and method for a helicopter engineering simulator, and belongs to the technical field of flight simulation and testing, and the system comprises a hierarchical combinable fault model library module which is used for the flexible construction from a part level to a system level to a composite fault; the intelligent fault injection management module is used for realizing an intelligent fault injection strategy; the multi-dimensional performance index quantification module is used for collecting data before and after fault injection in real time and setting a performance evaluation index system; the automatic test and visual analysis module is used for comparing various quantitative indexes of different control laws or different parameters of the same control law in the same fault scene to generate a comprehensive evaluation report; according to the intelligent fault injection and performance quantification system and method for the helicopter engineering simulator, efficient, objective and deep testing of robustness, stability and efficiency of an advanced flight control law in a special condition state is realized through a hierarchical fault model, an intelligent injection strategy and automatic quantitative evaluation.

A system for automated penetration testing using artificial intelligence (AI) is described, which aims to enhance cybersecurity by simulating attacks on software and computer systems in order to measure and identify vulnerability. The platform employs AI agents to perform tasks including script execution for vulnerability testing, social engineering simulations, comprehensive security assessments, and more, thereby reducing costs, time, potential risks associated with traditional penetration testing methods, and providing a more complete and available solution than humans can produce alone.

The invention relates to the technical field of engineering simulation, and discloses a GPU heterogeneous resource scheduling method based on mixed execution of multiple simulation jobs, which considers the calculation characteristics of different simulation tasks, also introduces a calculation time prediction model and a video memory usage amount prediction model, and prejudges the resource consumption condition during job execution in advance. And accurate depiction of resource demands in a complex multi-physics field simulation scene is realized. When potential conflicts are found, a Monte Carlo tree search technology is utilized to explore a plurality of scheduling strategies, and a scheduling scheme which achieves optimal balance among calculation delay, throughput and energy consumption is screened out from the scheduling strategies. According to the method, historical data and real-time job requirements of a simulation platform are comprehensively analyzed, accurate prediction and dynamic allocation of GPU heterogeneous resources are achieved, the utilization rate and the overall performance of the GPU heterogeneous resources in a multi-simulation job mixed execution environment are effectively improved, and support can be provided for efficient resource scheduling in a complex simulation scene.

The invention discloses a feature point identification method of a river hydrodynamic condition. The method comprises the following steps: S1, hydrological data collection; s2, dividing flow levels and simulating a flow field of each flow level; s3, arranging alternative control sections; s4, determining a target control section; and S5, constructing a correlation function to determine a target feature point. According to the method, historical hydrological and geographic data of a to-be-monitored river reach are utilized, hydraulic engineering simulation software is combined, a target control section is selected and determined by calculating section similarity indexes, relevancy values of all nodes in the target control section are calculated and selected through a constructed relevancy function, and the flow velocity of the nodes is combined; determining alternative feature points, and finally rejecting points influencing navigation, namely target feature points; the identified feature points are optimal monitoring points for arranging the river flow velocity monitoring device, a scientific basis is provided for reasonably arranging flow velocity monitoring points, only the water flow velocity of a limited number of feature points can be monitored, and the hydrodynamic change condition of the whole river can be mastered.

The invention discloses a transcritical working medium thermophysical property intelligent prediction method suitable for physical property mutation characteristics, and the method comprises the steps: obtaining the physical property-temperature data of a target working medium under a specified working pressure through a standard physical property database, and employing a piecewise linear regression change point detection algorithm based on residual sum of squares and dynamic monitoring; recognition of inflection points of a working medium physical property-temperature curve and self-adaptive division of temperature intervals are achieved, polynomial order optimization is carried out on each segmented interval based on a Bayesian information criterion to balance fitting precision and complexity, continuity constraints at segmented connection points are applied, and a globally continuous segmented polynomial function is constructed. According to the method, the full-process automatic transcritical working medium physical property-temperature function modeling of data acquisition-inflection point identification-order optimization-function generation can be realized, the subjectivity and limitation of artificial experience segmentation are effectively overcome, and the over-fitting risk is avoided while the model precision is ensured; and reliable support is provided for engineering simulation and thermodynamic system design under the transcritical working condition.

The invention relates to a fault simulation method suitable for engineering simulation of an electric vertical take-off and landing aircraft. The method comprises the following steps: injecting a target fault into a target simulation model of a to-be-tested electric vertical take-off and landing aircraft; controlling a target fault signal to carry out cross-system transmission on a plurality of target airborne systems of the to-be-tested electric vertical take-off and landing aircraft; wherein the target fault signal is a signal triggered based on a target fault; injection data of the target faults and operation data in the cross-system transmission process are obtained so as to be used for evaluating fault responses of the multiple target airborne systems. Through the method and the device, high-fidelity matching of fault injection and an actual fault response scene is realized, and the consistency of fault responses of a plurality of target airborne systems is optimized, so that the authenticity of fault simulation and the effectiveness of fault response evaluation of an electric vertical take-off and landing aircraft jig machine are improved, and the high-fidelity requirement of semi-physical simulation is met.

The invention discloses an experiment device and method for dangerous rock mass collapse induced by earthquake-excavation-acid rain coupling, and belongs to the technical field of geotechnical engineering simulation experiments, and the device comprises a counter-force supporting assembly, an earthquake dynamic disturbance simulation application assembly, an engineering excavation disturbance simulation application assembly and an acid rain corrosion and rainfall simulation assembly; the earthquake dynamic disturbance simulation applying assembly, the engineering excavation disturbance simulation applying assembly and the acid rain corrosion and rainfall simulation assembly are all arranged on the counter-force supporting assembly, and the slope dangerous rock mass model is located in the counter-force supporting assembly. The experimental device can simulate influence factors such as earthquakes, engineering excavation, acid rain corrosion, rainfall and river scouring, the influence factors can be combined at will to simulate the inoculation and induction process of dangerous rock mass collapse disasters under the coupling condition of the various influence factors, and an experimental conclusion is obtained on the basis. The method can reflect the inoculation and induction mechanism of the dangerous rock mass collapse disaster more truly, and provides technical support for the prediction and forecast of the dangerous rock mass collapse disaster.

The embodiment of the invention provides a method and a device for generating a simulation result of computer-aided engineering. The method comprises the following steps of: constructing an application programming interface for realizing a hot plug function of a business plug-in and a third-party business plug-in; when the user determines a target vertical domain type, determining a target business plug-in and / or a target third-party business plug-in based on the target vertical domain type; and calling the target service plug-in and / or the target third-party service plug-in based on the application programming interface to generate a computer-aided engineering simulation result. According to the method, a unified hot plug API interface is constructed to realize thorough module decoupling and open integration by determining field requirements and generating diversified plug-ins, finally, a user can flexibly select and call functional modules to generate simulation results as required, and openness, expansibility and field adaptation capability of CAE software are remarkably improved.

The invention belongs to the field of artificial intelligence and industrial finite element analysis software, and particularly relates to an LLM agent-based Abaqus finite element modeling code generation method and device. According to the method, high-precision and high-reliability finite element analysis script generation is realized through construction of an instruction-code pair database, semantic retrieval and instruction reasoning, code generation and verification and lightweight model deployment. Comprising the following steps: constructing an instruction-code pair database; performing semantic retrieval and instruction reasoning; code generation and verification; and lightweight model deployment. By using the method, the accuracy and the reliability of finite element analysis script generation can be effectively improved, and the threshold and the cost of an engineering simulation task are remarkably reduced. The industrial finite element analysis software script generation method based on the large model agent can be widely applied to finite element analysis tasks in the fields of aerospace, machine manufacturing and the like.

The invention discloses a stratospheric airship structure optimization design method and a stratospheric airship structure optimization design system based on joint simulation, and aims to solve the problems of long design period, low efficiency and the like caused by consideration of optimal aerodynamic performance due to size or volume limitation in existing airship design. According to the method, the shape of a capsule body is set through Python with a Bezier curve method, the shape of an empennage is set through parameterized design, constraint conditions are output, and three-dimensional CAD software is driven to automatically generate an airship shape model; computational fluid dynamics software is used for completing pneumatic simulation and exporting a report, after Python format conversion, engineering simulation optimization software is imported to build an optimization platform, optimization design is carried out with optimal pneumatic performance as a target in combination with constraint conditions, and finally, optimal structure parameters are verified and output. According to the method, full-process automation from parametric modeling, pneumatic simulation to optimization verification is achieved, the design period is shortened, the efficiency and precision of stratospheric airship structure optimization are improved, and it is ensured that a shape scheme with the optimal pneumatic performance is obtained.

The invention provides a navigation engineering simulation channel dredging device and a simulation method, and belongs to the technical field of channel dredging. A navigation engineering simulation channel dredging device comprises a shell and further comprises a channel simulation box, the channel simulation box is arranged in the shell and used for simulating a channel to be dredged, a sludge layer is laid at the bottom of the channel simulation box, and a telescopic pipe is arranged between the channel simulation box and the inner wall of the shell; the leveling assembly is arranged in the shell and is used for leveling a dredged sludge layer in the channel simulation box; the dredging assembly is arranged on the shell and used for dredging the sludge layer; the shell is provided with a moving mechanism used for driving the dredging assembly to move. By eliminating the interference of the water body on the sludge, the situation that the sludge is turbid in the water body and needs to stand for a long time is avoided, the core problems of low efficiency and non-visual data in a traditional simulation experiment are solved, and a high-fidelity and high-efficiency experiment tool is provided for channel dredging engineering.

The invention discloses an ice-coated conductor galloping load equivalent loading method and system based on finite element analysis. A conductor model is established based on actual line parameters, a conductor is established based on engineering simulation software, and initial tension is applied; three-component pneumatic parameters are obtained through a full-wind attack angle wind tunnel test, a pneumatic load mathematical model is constructed, and the load on a wire is calculated; and according to the calculated load size, loading a concentrated load on a node in the conductor. According to the method, dynamic aerodynamic force is equivalent to node concentrated force loading through a quasi-static load conversion strategy, and efficient and accurate galloping simulation is realized in combination with conductor nonlinear shape finding and wind tunnel test data. The problems of low dynamic fluid-solid coupling iteration efficiency and high model complexity are solved, and an efficient and reliable technical means is provided for power transmission line anti-galloping design and disaster prevention evaluation.

The invention discloses a numerical simulation method for a heat-fluid-solid multi-field coupling response characteristic, which relates to the technical field of mechanics and engineering simulation and comprises the following steps of: constructing an asynchronous sampling array, performing joint time-frequency acquisition on a periodic pressure pulsation signal of a fluid and a dynamic response signal of a solid structure, extracting a coupling phase fingerprint baseline, and calculating the coupling phase fingerprint baseline. As a unified reference for energy analysis; and performing coherent decomposition based on the coupling phase fingerprint baseline, calculating a phase-locked energy index, identifying an instantaneous resonance window in a dynamic evolution process, and determining a dangerous frequency band and an interface fragile area. According to the method, unified reference of heat-fluid-solid response data is realized by constructing a coupling phase fingerprint baseline; predicting a crack initiation threshold in combination with anti-fact playback and a risk cone; extracting a minimum disturbance set to construct an energy dissipation channel; time reversal micropulses are applied to cooperate with phonon band gaps and shadows for energy storage, phase lock release and vibration extinguishing control are completed, and closed-loop regulation and control of structure safety are achieved.

1. The name of the design product: electronic device full-process test planning graphical user interface (aircraft engineering simulator). 2. The use of the design product: for electronic device on aircraft engineering simulator. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device display panel is a conventional design, and the rear view, left view, right view, bottom view and top view are omitted. 6. The use of the graphical user interface: the graphical user interface is a full-process test planning operation application interface for electronic device on aircraft engineering simulator. The front view is the main interface of Proof Planner software. The left navigation bar displays nine function modules, namely, test development tool, automatic test, data excitation, companion and backfill, exciter management, test automation tool, network performance monitoring, Pub_Sub test and ICMP / SNMP. The function interface view of the data excitation function module is directly highlighted. Click the companion and backfill function block in the left navigation bar of the front view to enter the interface change state diagram.

The invention relates to the field of engineering simulation, and provides a model support performance evaluation method, device and equipment, and the method comprises the steps: obtaining a plurality of monitoring indexes of a model support, and determining an original index according to the monitoring indexes; the monitoring indexes comprise the initial supporting force, the stand column ascending amount, the step sequence end resistance, the safety valve opening pressure, the stand column descending amount and the top beam deviation angle; performing normalization processing on the original indexes to obtain standardized data; inputting the standardized data into the trained neural network model, and outputting a performance prediction result; and scoring the performance prediction result based on the target function to obtain a scoring result, and determining a model support performance grade according to the scoring result. According to the method, the problem of low efficiency caused by the fact that model support performance evaluation depends on artificial experience in the prior art is solved, and objective and quantifiable support performance grade judgment results are automatically output.

The invention provides a test model of a soil slope rain wash protection device and a design method, and belongs to the technical field of engineering simulation tests. The test model comprises a test soil slope; each protection test group comprises at least one protection unit, the protection units of different protection test groups are different in at least one of size, number and spacing, each protection unit comprises a protection structure, the protection structure comprises a gabion mesh cage and broken stones located in the gabion mesh cage, and the broken stones are arranged in the gabion mesh cage. The two opposite sides of the protection unit in the width direction are a back plane and a step surface respectively; the pressure sensor group is arranged at the target position of each protection unit; the deformation sensors are arranged on the step surfaces of the protection units; the dust and sand box is arranged on the ground in front of the slope surface of the test soil slope and is used for collecting the amount of muddy water falling from the test soil slope; and the rainfall model is used for simulating a rainfall scene. The slope protection structure meeting the stress requirement can be designed according to a specific soil slope.

The application belongs to the field of CAE engineering simulation and electrical interconnection system engineering technology, and particularly relates to a wire harness whole-process motion simulation method based on CATIA, which comprises the following steps: 1) constructing a motion mechanism simulation model; 2) defining main attributes affecting wire harness motion; 3) establishing a wire harness simulation model; 4) simulating the wire harness on the motion mechanism based on the wire harness simulation model, and updating the wire harness simulation model in real time, while selecting the most extreme state section at each time form of the motion wire harness section to perform compliance analysis; 5) if the compliance analysis is passed, each time picture containing the wire harness simulation model is output, and the screenshot under a fixed view angle is regenerated into a video through video synthesis software, and if the compliance analysis is not passed, the step 2) is returned. The application is suitable for relatively complex motion, and can more intuitively output analysis results of length, form, bending degree, stretching and stress concentration points of the wire harness in the motion process.

The invention discloses a key area restoration parameter mapping method based on dynamic grid local re-subdivision, and belongs to the technical field of engineering simulation. The method comprises the following steps that octree and quadtree partitions of an old grid are searched for units of a re-subdivision area on a new grid; searching an old grid unit where the degree-of-freedom coordinate point is located in the unit array of the partition, and then interpolating the physical field through a primary function; and calculating the value of the freedom degree coordinate point of the new grid. Mapping operation is carried out in a key area near the moving part in a concentrated mode; performing a moving restoration operation on a re-subdivision area near the boundary of the moving part, and then performing search mapping; and a simplified treatment mode is adopted for the air domain. According to the method, the unit search range and the calculation overhead in the physical field parameter mapping process are reduced, the dynamic grid physical field mapping efficiency is improved, the accuracy and the consistency of physical field transmission in a key area are guaranteed, and efficient and accurate physical field mapping and comprehensive improvement of engineering simulation efficiency are achieved.

The present disclosure provides a method and system for simulating pumped storage power station dam engineering considering terrain, comprising: obtaining DEM data of a reservoir area where a pumped storage power station dam is located; based on the DEM data, generating a reservoir surface and a horizontal transverse center line of a dam top plane by using a spatial data analysis method; based on the obtained horizontal transverse center line of the dam top plane and a preset width of the dam top plane, generating a dam top plane; and based on the constructed slope equations of both sides of the dam and the obtained boundary of the slope of both sides of the dam, constructing a dam body geometric shape and obtaining the volume of the dam body; according to the obtained DEM data, generating a thickness planing surface boundary of the mountain bodies on both ends of the dam; based on the obtained reservoir surface, dam body geometric shape, dam body volume and thickness planing surface boundary of the mountain bodies on both ends of the dam, constructing a dam body model, and based on the constructed dam body model, simulating pumped storage power station dam engineering.

The invention discloses a finite element simulation data processing method and equipment oriented to mixed reality, relates to the technical field of engineering simulation and mixed reality visualization, and aims to reduce the problems of large calculation load and lagging caused by rendering. The mixed reality-oriented finite element simulation data processing method comprises the following steps: acquiring analysis result data of a target model after finite element simulation calculation; combining a plurality of unit grids in the target model into at least one grid asset; performing high-precision coding on the original high-precision numerical value to obtain coded data; the coding data corresponding to the multiple engineering components are written into one or more texture coordinate channels of the grid assets, the grid assets are loaded in a three-dimensional rendering engine, the coding data in the texture coordinate channels are read through a self-defined shader, the coding data are decoded to recover high-precision numerical values, and the high-precision numerical values are obtained. And rendering the grid assets.

The invention relates to the technical field of simulation, in particular to an elastic-plastic smooth particle state updating method and device. Initializing the particle swarm variable array according to the simulation parameters; performing neighborhood search on the initialized variable array according to a preset particle support domain radius to obtain adjacent particle list data; determining a GPU parallel computing state according to the adjacent particle list data, and generating the GPU parallel computing state according to the adjacent particle list data; performing thread distribution on each particle in the initialized variable array; calculating the initialized variable array according to a thread distribution result to obtain a state parameter; performing state updating on all particles in the initialized variable array according to the state parameters; according to the scheme, simulation parameters are read, a particle swarm is initialized, a particle support domain radius neighborhood search is combined with a GPU state, a one-particle-thread parallel architecture is used, a particle array is updated, multi-time-step simulation is achieved, universality and expansion are considered, and multi-field engineering simulation is supported.

The invention relates to the technical field of engineering testing, and discloses a geotechnical engineering simulation testing system. The data acquisition module is used for acquiring multi-dimensional geological data of a test area; the model coupling module is used for dynamically coupling the geological three-dimensional model and the test area into a geological twinborn model; the simulation test module is used for applying test factors to the steady-state area and the sensitive area; the model prediction module is used for predicting a simulation state through a regional geological prediction model; the test analysis module is used for determining a simulation test grade and generating a simulation test report; according to the method, analysis resources of a simulation test can be focused on the sensitive area with higher risk according to the difference of mechanical properties and risk levels in the steady-state area and the sensitive area, so that the evaluation depth of the safety and reliability of the sensitive area in geotechnical engineering is improved, excessive resource consumption in the stable area is avoided, and the safety and reliability of the sensitive area in geotechnical engineering are improved. Therefore, the efficiency and the pertinence of the whole simulation test are obviously improved.

The invention relates to the technical field of engineering simulation experiments, in particular to a surrounding rock similar material for simulating an active fault crossing tunnel experiment and a preparation method, and the surrounding rock similar material is prepared from the following raw materials in parts by weight: 50-90 parts of cement, 130-1400 parts of yellow sand, 75-85 parts of bryozoatum, 75-85 parts of vermiculite, 50-90 parts of gypsum and 130-150 parts of water. Glass fibers accounting for 0.3% of the total volume of the raw materials and a water reducing agent accounting for 0.5% of the total mass of the raw materials are further doped into the raw materials of the similar material, cement, gypsum, yellow sand, bryozoatum, vermiculite, the glass fibers and water are adopted as the raw materials for preparing the rock surrounding rock material for simulating the active fault crossing tunnel, the raw materials are easy to obtain, cost is low, and the similar material is suitable for large-scale production. Meanwhile, compared with other existing similar surrounding rock materials, the rock surrounding rock material prepared by the preparation method disclosed by the invention can better simulate the damage and cracking effects of the rock surrounding rock.

The invention relates to the field of engineering simulation, in particular to an iron roughneck oil cylinder hinge point driving optimization method and device, equipment, a medium and a product. According to the method, the basic simulation model capable of being regulated and controlled in a parameterized mode is established, the hinge point of the push-pull oil cylinder is set as a design variable, and the boom is subjected to flexible processing, so that the problem that vibration of the boom based on a rigid body cannot be simulated is solved, and driving function parameters can be dynamically adjusted along with the position of the hinge point; by initializing a parameter group and carrying out parallel simulation, the single optimization period is greatly shortened, and the driving parameters are prevented from being manually adjusted for multiple times; meanwhile, a dynamic graph is drawn in combination with simulation data and iterative data, and performance differences under different driving functions can be visually presented, so that the optimal solution of the oil cylinder force is accurately explored, and the defects that in the prior art, the optimization period is long, and the deviation between the result and the actual working condition is large are effectively overcome.

The present application relates to the technical field of steel pile engineering simulation analysis, and discloses a simulation analysis method for force of a steel pile oil cylinder and a model of change of the center of gravity of the steel pile, comprising the following steps: obtaining oil cylinder pressure, steel pile displacement trajectory data and geological parameters and cleaning; extracting multi-dimensional features to generate dynamic load distribution parameters and constructing a coupling relationship model; jointly verifying the oil cylinder pressure and the dynamic displacement of the steel pile, identifying the spatial correspondence of pressure gradient change and center of gravity deviation, and quantifying abnormal correlation; generating a system stability index to determine whether to trigger control parameter correction; if correction is required, a pressure compensation scheme is automatically generated. Through multi-dimensional data processing, coupling modeling and dynamic verification, the method realizes accurate analysis and intelligent control of the force of the oil cylinder and the change of the center of gravity in steel pile operation, improves the system stability and construction safety, and is suitable for steel pile construction scenes such as ocean engineering.