88 results about "Engineering simulation" patented technology

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.

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 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 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.

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 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 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 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.

The invention belongs to the technical field of engineering simulation, and discloses a soft stratum simulation atomization grouting device and method. The device comprises a double-pressure supply device, a slurry storage barrel, an atomizer comprising an atomizing bin and an ultrasonic atomizing sheet, a nozzle, a pressure monitor, a test piece box and a slurry recycling barrel, and all the parts are connected with valves through pipelines to form a complete grouting system. According to the method, slurry is atomized, pressure is regulated and controlled in combination with a double-pressure-supply device, pressure changes are captured in real time in cooperation with a pressure monitor, and slurry diffusion leading edge information is dynamically mastered. According to the method, the technical problems that in the prior art, the adaptability of grout and an unconsolidated stratum is poor, the grouting pressure control precision is low, and effective real-time monitoring is lacked are effectively solved, the permeability and diffusion uniformity of the grout in the stratum are greatly improved, stratum disturbance or structural damage caused by out-of-control grouting is avoided, and the grouting quality is improved. Accurate parameter support is provided for site construction through an indoor simulation experiment, the trial and error cost is remarkably reduced, and the reliability and engineering practicability of grouting reinforcement of the soft stratum are improved.

The invention belongs to the technical field of engineering simulation data processing, and particularly discloses a multi-physics field iterative coupling prediction method and system, a terminal and a medium. Comprising the steps of performing state initialization on a to-be-predicted object based on prediction batch input, and constructing structured feature representation for multi-physics field prediction; constructing a temperature prediction model and a pressure prediction model which are mutually independent; performing multiple rounds of prediction updating on the temperature physical field by adopting the temperature prediction model, and dynamically adjusting related state parameters according to the prediction state of the temperature physical field in the prediction updating process to obtain a stable prediction state of the temperature physical field; and on the basis, performing prediction processing on the pressure physical field by adopting a pressure prediction model to obtain a pressure physical field prediction result corresponding to the temperature physical field prediction state, and outputting a multi-physical field steady state prediction result. By introducing a multi-physics field iterative coupling prediction mechanism, the physical consistency and stability of a multi-physics field prediction result are improved.

The application discloses a kind of rail transit line fusion scheme optimization decision system and method, to solve the problem of strong subjectivity in line fusion decision in prior art, lack of multidimensional quantitative trade-off.The system includes data integration module, multidimensional analysis module, fusion decision module, scheme evaluation and deduction module;The application quantifies the key elements of passenger flow, capacity, engineering, cost and other multidimensional into a unified analysis framework by integrating passenger flow prediction, engineering simulation, multi-objective optimization algorithm, introduces Cross-line Efficiency Index (CEI) as the core decision index, determines the index weight by combining AHP-entropy weight method, realizes the quantitative comparison and selection and dynamic optimization of the two types of fusion schemes of cross-line operation and transfer connection.The application can convert traditional experience decision into scientific quantitative decision, shorten the scheme comparison period, improve the decision adaptability and risk controllability, and provide reliable technical support for line fusion scheme decision in urban rail transit network planning stage.

The present application relates to geotechnical engineering and engineering simulation technical field, provide marine soft soil sandwich pebble RCD multi-field coupling simulation method, including the following: step 1, form multi-source input parameter table;Step 2, build fluid domain, particle domain and three-domain collaborative model of soil domain on unified solution platform;Step 3, copy the reverse circulation loop and load the real working condition boundary;Step 4, realize three-domain strong coupling calculation with multi-scale and sub-cycle strategy;Step 5, online updating and recalibration of parameters and model;Step 6, give the hole wall stability and sedimentation risk criterion;Step 7, give the construction parameter window and recommended process curve;Step 8, output control index results and early warning rules;Step 9, the calibrated model and parameter library are archived for engineering reuse.The present application provides a set of multi-field coupling numerical simulation method and tool basis which can be calculated, calibrated and optimized, and has good engineering adaptability, popularization and economic benefits.

The invention discloses a cloud computing-based post-processing method, device and system supporting a super-large scale model CAE simulation result, and belongs to the technical field of computer-aided engineering simulation and cloud computing. The method comprises the following steps that: a cloud end adopts a hybrid architecture to carry out self-adaptive partitioning and multi-level LOD modeling on a simulation result; the client calculates a visible area and a required LOD level according to user interaction and generates a request; the cloud side dispatches data according to needs and transmits the data in a streaming mode; and after receiving the data, the client uses a local GPU to render in real time and realize LOD dynamic smooth switching. The invention aims to solve the problems of hardware bottleneck, interaction delay and low resource utilization rate when a traditional method is used for processing super-large-scale CAE data.

This invention discloses a lightweight design method for new energy vehicle body frames based on digital twins. The invention relates to the field of new energy vehicle body structure design and computer-aided engineering simulation technology, and includes the following steps: Step S1: Establishing a digital twin connected to the physical vehicle body sensing system; Step S2: A dynamic precision topology network module, used to dynamically divide the simulation precision region of the body frame according to the mechanical energy transfer path and real-time sensing data. This lightweight design method for new energy vehicle body frames based on digital twins achieves intelligent allocation of computing resources through a dynamic precision topology network. While ensuring accurate prediction of key structures, it effectively reduces the computational burden of multi-physics coupled simulation; it effectively resolves the sharp contradiction between model accuracy, real-time response, and optimization efficiency, enabling lightweight design to achieve effective closed-loop iteration under complex constraints.

The invention relates to an engineering simulation system for a low-altitude aircraft. The engineering simulation system comprises an engineering simulator of the low-altitude aircraft, a simulator server and an upper computer, the engineering simulator comprises a cockpit; the cockpit comprises a driving seat, a central control column and an auxiliary control column; the central control stick is used for simulating accelerator operation and yaw operation of the low-altitude aircraft; the auxiliary joystick is used for simulating pitching operation and rolling operation of the low-altitude aircraft; sensors are respectively arranged in the central steering column and the auxiliary steering column, and are used for collecting operation data generated when a pilot operates the steering column; the simulator server receives the operation data and outputs a control instruction corresponding to the operation data; the upper computer receives the operation data and flight data corresponding to the flight process, and the operation data and the flight data are used for optimizing the simulator server. Therefore, the difference feeling in the process that a pilot uses the low-altitude aircraft engineering simulator to carry out simulation flight can be effectively reduced.

The present invention provides a method and system for simulating rock grout injection based on solid-liquid coupling, which relates to the technical field of rock grout injection simulation. The method includes: obtaining a time-varying relationship of density during the solidification process of grout used in grout injection, establishing a grout density-time evolution model; dividing the solidification process of grout used in grout injection into multiple stages and obtaining physical properties of each stage in the solidification process of grout used in grout injection; and adjusting physical parameters of the grout at corresponding times during the rock grout injection simulation based on the obtained grout density-time evolution model and the physical properties of each stage in the solidification process of grout used in grout injection, thereby performing the rock grout injection simulation. The present invention can improve the accuracy of the calculation process for simulating rock and earthworks such as rock grout injection.

The application discloses a reinforced concrete structure damage process simulation method based on an SPH method, belongs to the technical field of computational mechanics and structure engineering simulation, and comprises the following steps: firstly, removing the damage softening component from the total deformation gradient to obtain an effective physical state and a deformation gradient without interference; secondly, determining a plurality of mechanism criteria of tensile cracking, shear slip and compression plasticity exhaustion, and obtaining a comprehensive damage index through maximum value enveloping; mapping the damage index into a softening factor through a nonlinear square term, correcting the deformation gradient and dynamically adjusting the particle action strength; finally, performing stress gradual attenuation on critical damage particles, and removing the particles after meeting the step number condition. The application can consider the calculation efficiency and the macroscopic mechanical property under a single constitutive framework, accurately restores the material damage softening and the fracture process, effectively avoids numerical oscillation, and improves the precision and stability of the structure damage simulation.

The invention provides an AI-based CAE post-processing result automatic interpretation and report generation method and system, and the method comprises the steps: S1, obtaining multi-format computer-aided engineering simulation result data through a system, and generating structured data through analysis and conversion; s2, automatically identifying key features in the structured data by adopting an artificial intelligence model in combination with a domain knowledge graph, generating a feature list and performing visual labeling; s3, on the basis of the domain knowledge graph, deducing physical causes and engineering influences of the key features, and generating an analysis conclusion; and S4, according to a preset template and a language model, generating a standardized report containing the key features and the analysis conclusion. According to the method, automation from data processing to report generation is realized, the manual intervention cost is remarkably reduced, the reliability and decision support capability of complex engineering problem analysis are improved, and the method is suitable for various scenes such as structural engineering and fluid engineering.

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 invention provides an isogeometric analysis control grid-oriented graph neural network Poisson equation solving method. The method comprises the following steps of S1, matching data set acquisition and input formats; s2, carrying out proportion division on the data set; s3, constructing a graph neural network model; s4, performing model training and parameter initialization; training a model by using a training set, and monitoring a training effect through a verification set by taking Poisson solution error minimization and operation speed maximization as targets; step S5, Poisson solution and performance verification: executing Poisson solution by using the test set, calculating a solution error and a running speed which need to be superior to a file specified standard, and returning to adjust model parameters and retraining if the standard is not reached; and S6, outputting a result. Step S7, Main file integration and interface implementation: writing Main file integration functions from the step S1 to the step S7; according to the method, the problem that the compatibility of a data set and input of an existing method is limited remarkably in the engineering simulation and scientific calculation process can be solved.

The application relates to the technical field of engineering simulation, and discloses an industrial structure mechanics simulation prediction system based on an enhanced graph attention network, which comprises a finite element data mapping and enhancement module, a prediction module, an optimization module and a deployment module. The system reconstructs a finite element grid into a graph structure tensor, captures geometric mutation characteristics by using high-dimensional feature projection and adaptive feature recalibration, and transmits deep physical information through dense residual connection. In the training stage, a physical constraint loss function containing attention area weighting and structure smoothness is introduced; in the reasoning stage, a mixed precision mode is adaptively switched according to hardware attributes, and large graph blocking and fusion calculation based on overlapping boundaries are performed. The application effectively solves the contradiction between calculation efficiency and numerical accuracy in complex industrial structure mechanics response prediction, and realizes millisecond-level high-fidelity online simulation.

The application discloses a simulation data generation method and device, equipment, medium and product, relates to the technical field of engineering simulation, and the method comprises the following steps: obtaining target simulation parameters and a target file name input by a user through a user graphical interface; analyzing the target file name to obtain an extraction path of a simulation data file, a simulation data set name and a simulation data structure associated with the target file name; based on the extraction path of the simulation data file and the simulation data set name, using a block reading, lazy loading or concurrent reading strategy to extract field variable data associated with the target simulation parameters in the simulation data file; calling a pre-trained reduced-order model to predict high-dimensional data of the field variable data, and obtaining high-dimensional field variable prediction data; and reconstructing the high-dimensional field variable prediction data according to the format of the simulation data, and generating high-dimensional field variable data which is the same as the simulation data structure. The application can improve data processing efficiency and user friendliness.

The invention discloses a simulation prediction method based on reduced-order model machine learning, and relates to the technical field of crossing of computer-aided engineering simulation and machine learning, in particular to a simulation prediction method based on reduced-order model machine learning, which comprises the following steps: firstly, performing finite element simulation on automobile parts (such as an anti-collision beam) to obtain simulation data; secondly, selecting sample points by adopting a Latin hypercube sampling method, and verifying that a data set meets an order reduction requirement; then, carrying out dimension reduction processing on the data by applying an order reduction model (such as intrinsic orthogonal decomposition (POD) or singular value decomposition (SVD)); and finally, predicting the data after order reduction by using a Kriging method machine learning model, and evaluating the prediction precision by using a decision coefficient R2 and a root mean square error RMSE. According to the method, through combination of the reduced-order model and machine learning, the simulation calculation efficiency is effectively improved, meanwhile, the accuracy of a prediction result is ensured, and the method is suitable for rapid simulation optimization in automobile design.

The invention discloses a differential equation solving method based on a quantum computer. The method comprises the following steps: determining a differential equation to be solved; setting parameters; selecting a quantum kernel function, and constructing an approximate solution of the differential equation based on the function; constructing a loss function, and converting an optimization problem of the loss function into a linear equation set form; solving the linear equation set by using a quantum linear system algorithm, and calculating an optimal weight coefficient; predicting an approximate solution vector of the differential equation based on the optimal weight coefficient, and outputting the solution vector; according to the method, the research blank of a physical information driven quantum machine learning method with theoretical guarantee in the field of differential equation solving is filled, and the application range of a quantum algorithm in scientific calculation is expanded; according to the method, an efficient and reliable differential equation numerical solution can be provided, and a solid theoretical foundation and technical support are laid for application of quantum calculation in the fields of physical modeling, engineering simulation, complex system analysis and the like.