29 results about "Global simulation" patented technology

The invention discloses a hydrological digital twinborn model construction method and system based on an artificial intelligence technology, and relates to the technical field of hydrological monitoring and intelligent early warning, and the method comprises the steps: constructing a hydrological element measuring point monitoring model fusing multi-source sensor data, and introducing a graph convolution network to capture the complex correlation between environmental factors and hydrological elements; constructing a mapping model by using an improved long-short term memory neural network, and designing a multi-target dynamic monitoring loss function to balance data precision and space consistency; a measuring point prediction value and a global simulation value are fused through domain self-adaptive adversarial training, a basic hydrological digital twinborn model is generated, and an interaction model is constructed in combination with an extreme working condition parameter migration strategy; and constructing an inference mechanism based on the hydrological disaster knowledge graph, and outputting an entity engineering disposal scheme. The problems that a traditional hydrological model is weak in generalization ability, insufficient in data fusion, poor in extreme working condition adaptability and the like are solved, and high-precision real-time sensing and intelligent decision making in the hydrological process are achieved.

The invention relates to a BIM-based building complex node construction scheme dynamic simulation method and system, and relates to the technical field of constructional engineering informatization construction management, and the method comprises the steps: carrying out the construction region self-adaptive division of a node BIM model based on multi-dimensional feature clustering, and defining a heterogeneous substrate unit based on a self-adaptive division result; according to the heterogeneous substrate unit, the construction scheme parameters are dynamically divided based on the influence mode, and a bipartite construction parameter set is obtained; and according to the bipartite construction parameter set, performing two-stage dynamic simulation on the construction scheme in combination with the heterogeneous base unit and the node BIM model to obtain a node construction simulation result. The method solves the problems that in traditional complex node construction simulation, complex nodes are not effectively deconstructed, so that the overall simulation precision is insufficient, fixed-time quota is depended, the simulation process is not flexible, influences of different schemes are difficult to quickly evaluate, and scheme comparison, selection and optimization are difficult.

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 discloses a GPU (Graphics Processing Unit) parallel thread block adjustment and kernel function scheduling optimization method and system. The method comprises the following steps: acquiring GPU equipment attributes and kernel function execution attributes; determining a feasible thread block size solution space of each kernel function based on GPU equipment attributes and kernel function execution attributes, and selecting a thread block size which enables the load balance degree evaluation model value to be maximum as optimal execution configuration of the kernel function; on the basis of the determined optimal thread block size of each kernel function, dividing an execution grid of each kernel function into a plurality of kernel function slices, and establishing a concurrent execution relationship between the kernel functions; a CUDA graph is constructed in a mixed mode according to the established concurrent execution relation between the kernel functions and data dependence; and by taking an actual model of particle simulation software as a test object, respectively comparing GPU occupancy rates before and after thread block adaptive adjustment, multi-stream concurrent scheduling and hybrid CUDA graph scheduling optimization, kernel function execution time and overall simulation efficiency, and outputting an optimized particle simulation result.

The invention provides a method and system equipment for intelligently analyzing carbon emission based on abnormal carbon factors in a smart park in combination with energy storage, and a storage medium, and relates to the field of digital energy storage analysis. The method comprises the following steps: firstly, capturing an abnormal carbon factor in real time by combining a multi-time scale weighted threshold value and a fanotify technology through an intelligent electric meter comprising an intelligent sensing module and a carbon monitoring module; constructing four types of energy storage matrixes of hydropower, photovoltaic, wind power and non-green power, and predicting carbon factor response lag characteristics by using an NBP method; and finally, global simulation deduction is carried out through an MCTS algorithm, and an optimal energy-saving strategy is selected according to a comprehensive evaluation function. The system correspondingly comprises an intelligent electric meter deployment layer, an abnormal carbon factor sensing system and other modules. According to the invention, accurate real-time monitoring of abnormal carbon factors is realized, power grid cleanliness changes are dynamically adapted, a global optimal strategy is output, the park carbon management efficiency is improved, and the method is suitable for various smart park low-carbon management scenes.

This application relates to a BIM-based dynamic simulation method and system for construction schemes of complex building nodes, belonging to the field of information-based construction management technology for building engineering. The method includes: adaptively dividing the construction area of ​​the node BIM model based on multi-dimensional feature clustering, and defining heterogeneous base units based on the adaptive division results; dynamically dividing the construction scheme parameters based on the influence patterns according to the heterogeneous base units to obtain a bipartite construction parameter set; and performing a two-stage dynamic simulation of the construction scheme based on the bipartite construction parameter set, combining the heterogeneous base units and the node BIM model to obtain the node construction simulation results. This invention solves the problems in traditional complex node construction simulation, such as insufficient overall simulation accuracy due to the lack of effective deconstruction of complex nodes, reliance on fixed time quotas and inflexible simulation processes, difficulty in quickly assessing the impact of different schemes, and difficulties in scheme comparison and optimization.

The invention discloses a white oil refining intelligent joint control method and system based on the industrial internet, and particularly relates to the technical field of industrial automation and intelligent manufacturing, and the method comprises the steps: S1, collecting white oil refining process data through a multi-source sensor, S2, carrying out the real-time analysis based on an edge calculation node, and S3, carrying out the real-time analysis based on an edge calculation node; the method comprises the steps of S1, executing interlocking logic including dynamic threshold adjustment and long short-term memory network prediction and optimization control, S3, uploading data and an analysis result to a cloud platform, carrying out global simulation optimization based on a digital twin model and issuing a strategy, and S4, generating evidence information from key data, and writing the evidence information into a block chain to support full-process tracing. According to the method, intelligent control jump from passive response to active prediction is realized through cloud, edge and end cooperation, and the stability, economical efficiency and quality traceability of the white oil refining process are remarkably improved in combination with global optimization and credible traceability.

The invention relates to atmospheric chemical reaction calculation substitution and acceleration in an atmospheric chemical model, in particular to an atmospheric chemical reaction calculation substitution model and a construction method thereof, the model has a high-precision reappearance chemical reaction process, and in 19-day off-line prediction of 279 predictive variables of a case, the proportion of the predictive variable decision coefficient exceeding 0.99 is 96%; the model can realize continuous stable prediction for at least 10 days; compared with an original GEOS-Chem chemical integrator, the ChemKNet has the advantages that the time consumed by calculation on a single CPU can be saved by about 79%, only about 1% of the original calculation time is needed on a single GPU, and the calculation efficiency of large-scale simulation is greatly improved; the model supports coupling and continuous prediction; the model is provided with a full-chema chemical mechanism covering GEOS-Chem, and is provided with global simulation and a full-chema chemical mechanism covering GEOS-Chem.

The application provides an agricultural manure soil crop interaction optimization regulation method and system, divides a farmland unit for a farmland area, constructs a farmland unit intelligence and constructs a farmland unit social network containing a physical proximity network, a feature similarity network and a causal correlation network, the farmland unit intelligence agent carries out social learning based on the farmland unit social network, acquires individual performance data of manure regulation strategy, generates a candidate manure regulation strategy set, carries out strategy radiation simulation on the candidate manure regulation strategy set through the causal correlation network and the infectious disease model, acquires strategy radiation degree data, the global farmland unit intelligence agent carries out global simulation simulation based on the candidate manure regulation strategy set, acquires strategy global influence index, optimizes the candidate manure regulation strategy set according to the individual performance data, the strategy radiation degree data and the strategy global influence index, generates an agricultural manure regulation strategy, so as to improve the overall utilization rate of manure and the stability of farmland ecology.

The utility model provides a full-motion electric vertical take-off and landing aircraft simulator which comprises a counterweight seat, a multi-degree-of-freedom motion platform arranged on the counterweight seat, and a simulation cockpit arranged on the multi-degree-of-freedom motion platform, vR simulation equipment is arranged in the simulation cockpit, VR position indicators matched with the VR simulation equipment are arranged outside the simulation cockpit, and the two VR position indicators are arranged corresponding to the left side and the right side of the simulation cockpit; and at least four sound simulation devices are uniformly arranged in the simulation cockpit. According to the full-motion electric vertical take-off and landing aircraft simulator, a plurality of hardware function devices are integrated comprehensively through mechanical structure connection, ergonomic structure arrangement, mutual adjustment and configuration among devices, reasonable space application and other modes, and meanwhile, design modes such as operation stability of the whole simulator are considered; the utility model provides the all-moving electric vertical take-off and landing aircraft simulator which is superior to the previous solution.

The application discloses a method for identifying a leading particle in mud flow dynamic simulation and a method for querying a neighborhood particle. In view of the defect that the existing SPH model of mud flow cannot distinguish the leading particle, two schemes are provided under a single concept. The method for identifying the leading particle in mud flow dynamic simulation configures a 3D-CNN classification model in the SPH model to identify the leading particle and non-leading particle from the grid scale. The classification model is based on the frame data of the material model, defines a local aggregation space around the object particle, extracts a feature tensor, combines the object particle attribute, analyzes the particle attribute statistical index from the grid scale and the grid scale leading particle identification rule, generates a sample and trains the model. The method for querying the neighborhood particle in mud flow dynamic simulation is based on the leading particle identification technology, adopts tree storage for the leading particle, adopts hash storage for the opposite, obtains a global partition fusion hash table and optimizes the particle query. The application solves the problem of the leading particle of mud flow and global simulation, thereby reducing the operation complexity, optimizing the time and space cost, balancing the accuracy and efficiency of the numerical model.

This invention belongs to the field of energy demand forecasting technology, and discloses a method and system for forecasting regional energy system demand. The method includes: determining the primary energy demand of each industry in a target region; constructing a calculation model for carbon emissions and energy utilization costs in the target region based on the primary energy demand of each industry, carbon emission coefficients of various primary energy sources, and utilization cost coefficients of various energy sources; constructing an optimization function based on determined energy utilization constraints and carbon emission constraints; solving the optimization function to obtain the optimal solution; and obtaining energy consumption, carbon emissions, and energy cost data for all industries in the target region based on the optimal solution, the target region carbon emission calculation model, and the energy utilization cost calculation model. This invention constructs an optimization function based on energy utilization constraints and carbon emission constraints, with the optimization objectives of minimizing total energy costs and achieving carbon neutrality in the energy system, realizing the overall simulation of energy system demand and carbon emissions under multiple scenario conditions.

The invention provides a lightning stroke transient analysis method and system for a high-voltage power transmission line. The method comprises the following steps: acquiring power transmission line parameters, material electromagnetic parameters and atmosphere lightning stroke channel parameters; acquiring a three-dimensional electromagnetic field partial differential model and performing space-time discretization based on the three-dimensional electromagnetic field partial differential model and a plurality of preset data to acquire electric field intensity, current density and magnetic field intensity; obtaining structural material parameters; acquiring simulation voltage data and simulation current data based on the data and a plurality of preset data; acquiring actually measured data, and calculating a rise time error, a wave crest amplitude error and a high-frequency component amplitude-frequency response error based on the three data; and if the preset convergence condition is met, realizing accurate simulation of the lightning stroke transient process of the high-voltage transmission line. According to the lightning stroke transient analysis method for the high-voltage transmission line, high-precision global simulation can be carried out on the lightning stroke transient process of the high-voltage transmission line, and reliable data support is provided for lightning protection design optimization.

The application discloses a rice-shrimp breeding area tail water comprehensive utilization simulation method and system based on digital twinning, and particularly relates to the technical field of digital twinning and computer simulation, which is used to solve the problem of systematic cognitive bias in simulation results caused by relying on mathematical speculation when the existing digital twinning model simulates a large number of unmonitored data areas in the rice-shrimp breeding area; by obtaining monitoring data and physical topological structure, the simulation area is divided and the key data blank sub-area is identified; then the potential contribution of the state change of each key area to the downstream monitoring data and the monitoring data change difference caused under different hydraulic paths are calculated; the simulation uncertainty level of each key area is evaluated according to the above analysis results; finally, the water quality simulation calculation strategy of the corresponding area in the digital twinning model is adjusted based on the level, and the model is run to output the tail water comprehensive utilization simulation result; the reliability of the overall simulation result and the scientificity of the decision support are improved.

The invention discloses a multi-source heterogeneous model simulation method for a ship information system, and the method comprises the following steps: 1), obtaining the types of heterogeneous models to be integrated of the ship information system, and determining the input / output parameters, data formats and communication protocol differences of all types of models; 2) analyzing a data interaction relationship among subsystems of the ship information system, and determining input interfaces, output interfaces and data interaction time sequence requirements of the subsystems; 3) constructing a distributed joint simulation architecture; 4) heterogeneous model interface packaging; 5) performing unified conversion and association mapping on the discrete model and the continuous model; according to the method, a distributed architecture based on TCP / IP communication and multiple threads is adopted, global simulation synchronization is overall planned by the server side, the client side independently bears all heterogeneous models and transmits interaction data, a clock synchronization algorithm is introduced, global communication time points are appointed, and multi-source heterogeneous model simulation is achieved.

This invention discloses a multi-agent cooperative adversarial simulation method based on wide area network (WAN) synchronization. Addressing the problems of low clock synchronization accuracy, proneness to timing errors, high bandwidth consumption, and insufficient fault tolerance in WAN scenarios, existing technologies construct a three-tiered architecture: global simulation control, regional collaborative decision-making, and local simulation inference. It employs a layered master-slave clock synchronization combined with delay compensation to achieve unified clock references across all nodes, establishes a clock-state dual-loop hybrid synchronization control mechanism, and completes cooperative adversarial inference through a distributed architecture that decouples decision-making and inference. Simultaneously, it sets up fault-tolerant synchronization and conflict resolution mechanisms. This invention can achieve high-precision synchronization, high-continuity operation, and high-reliability inference for large-scale cross-regional multi-agent adversarial simulations in complex WAN environments, adapting to the needs of distributed simulation applications in multiple fields.

This invention discloses a public health strategy optimization system and method based on multi-source data fusion, belonging to the field of public health management technology. It includes a collaborative architecture of a cloud center and edge nodes. The cloud center integrates multi-source heterogeneous data to construct a macro-level public health situation knowledge graph and a cross-disease simulation model, generating a global baseline strategy. This global baseline strategy is then distributed to the edge nodes. Each edge node receives and integrates local real-time data streams to generate and execute a local optimization strategy. The edge nodes feed back the results to the cloud center. The cloud center uses the feedback data and, through a collaborative learning mechanism with the edge nodes, iteratively updates the cross-disease simulation model by calibrating parameters. This invention, employing the aforementioned public health strategy optimization system and method based on multi-source data fusion, significantly improves the response speed, local adaptability, and scientific rigor of public health strategies through the collaborative iteration of global simulation in the cloud and real-time optimization in the edge environments.

This specification relates to the field of circuit breaker simulation technology, and more particularly to a method and apparatus for simulating the dynamics of a circuit breaker. The method for simulating the dynamics of a circuit breaker includes: constructing a first multibody dynamics model of the transmission mechanism in the circuit breaker; extracting first motion boundary conditions for a target interface based on the global simulation results of the first multibody dynamics model; constructing a finite element model of the target interface; obtaining first local simulation results of the finite element model based on the first motion boundary conditions; constructing equivalent nonlinear mechanical elements based on the first local simulation results; updating the first multibody dynamics model based on the nonlinear mechanical elements to obtain a second multibody dynamics model; and obtaining the dynamics simulation results of the transmission mechanism based on the second multibody dynamics model and the finite element model. The embodiments in this specification can improve the accuracy of dynamics simulation of circuit breaker transmission mechanisms.

The present application relates to the replacement and acceleration of atmospheric chemical reaction calculation in atmospheric chemical model, and particularly relates to a replacement model of atmospheric chemical reaction calculation and a construction method, the model has high precision in reproducing chemical reaction process, in the 19-day offline prediction of 279 prediction variables of the case, the proportion of prediction variable determination coefficient exceeding 0.99 is 96%; the model can realize at least 10-day continuous stable prediction; the model has significant acceleration of chemical calculation: compared with the original GEOS-Chem chemical integrator, the time consumption of ChemKNet calculation on single CPU can be saved by about 79%, and only about 1% of the original calculation time is needed on single GPU, greatly improving the calculation efficiency of large-scale simulation; the model supports coupling and continuous prediction; the model has full-chem chemical mechanism and global simulation covering GEOS-Chem.

The application provides a kind of wind farm panoramic monitoring and health assessment system and method based on sentinel machine group.The system includes: sentinel machine group selection module, representative wind turbine is identified as sentinel machine group based on global simulation technology;Multi-source sensing network, key component structure state and operating environment data are collected on sentinel machine group;Data acquisition and processing platform, fusion processing sentinel machine group sensing data, full field SCADA and CMS data;Health assessment and early warning center, comprehensive assessment and early warning of full field wind turbine based on fusion data.The application selects sentinel machine group and installs special sensor, combines multi-source data fusion and deep learning algorithm, realizes the energy efficiency evaluation of global wind turbine of wind farm, fault early warning and health quantification evaluation, effectively improves operation and maintenance efficiency, reduces unplanned downtime risk.

The invention discloses a locating and sizing method and device for a flexible interconnection device and electronic equipment, and relates to the technical field of electric power, and the method comprises the steps: obtaining P initial schemes corresponding to a power distribution network; the P initial schemes are iteratively simulated on the basis of a preset algorithm, performance indexes, corresponding to the initial schemes, of the power distribution network are obtained, and the performance indexes comprise at least one of the maximum load rate, the node safety level and the power supply capacity level; under the condition that the total simulation frequency is greater than or equal to the preset global simulation frequency, screening at least one initial scheme from the P initial schemes as a target scheme based on the performance index corresponding to each initial scheme; and performing addressing and sizing operation on the K flexible interconnection devices based on the target scheme. According to the method and the device, the technical problem of low efficiency of locating and sizing the flexible interconnection device needing to be deployed in the power distribution network based on the prior art is solved.

The invention discloses a tap identification method and a neighborhood particle query method for dynamic simulation of debris flow. Aiming at the defect that the existing debris flow SPH model cannot distinguish the faucet, two schemes under a single concept are provided. According to the debris flow dynamic simulation faucet identification method, a 3D-CNN classification model is configured in an SPH model, and faucet and non-faucet particles are identified from the grid scale. According to the classification model, based on material model frame data, a local aggregation space is defined around object particles, feature tensors are extracted, object particle attributes are combined, and analysis and sample generation are performed under grid scale particle attribute statistical indexes and grid scale faucet judgment rules, and the model is trained. According to the neighborhood particle query method for debris flow dynamic simulation, based on a faucet recognition technology, tree storage is adopted for faucet particles, otherwise, hash storage is adopted, a global partition fusion hash table is obtained, and particle query is optimized. The problem of debris flow faucet and global simulation is solved, so that the computational complexity is reduced, the space-time overhead is optimized, and the accuracy and efficiency of a numerical model are balanced.

The invention relates to the technical field of aerodynamics, and provides an aerodynamics simulation method and device, and the method comprises the steps: inputting a boundary value set, a working condition combination and a physical mechanism of each design parameter of an aerodynamics simulation task into a task analysis agent, and obtaining a task order reduction scheme outputted by the task analysis agent, according to the task order reduction scheme, a first target parameter set after order reduction is obtained, the simulation parameter quantity is reduced, simulation calculation is conducted on the aerodynamic simulation task based on the first target parameter set in the task order reduction scheme, a training data set is obtained, and a first global simulation agent model is trained based on the training data set. As the parameter quantity for simulation is reduced, a large number of samples are not needed to reflect the relationship among the parameters, simulation calculation can be carried out through a small number of parameter samples, and finally the first global simulation agent model can be obtained; the first global agent model can also obtain a calculation result with acceptable accuracy under the condition of training of a small number of parameter samples.

The invention provides a panel-level electroplating simulation method and device and electronic equipment. The method comprises the steps that geometric parameters of a target panel structure and preset parameters of a target electroplating system are obtained; based on the geometric parameters and preset parameters, establishing a target global simulation model of the target panel structure; the target global simulation model comprises a target spatial distribution function, and the target spatial distribution function is used for equivalently simulating the influence of electrolyte flow in the target electroplating system on the electroplating process at any position of the target panel structure; and performing simulation calculation based on the target global simulation model, and determining a target simulation thickness cloud picture of the target panel structure. According to the method, the fluid effect is introduced on the premise of not explicitly solving the fluid field by adopting a mode based on the secondary current distribution and combining the spatial distribution function, so that the problems of computer resource limitation, grid number explosion and the like in the related technology are effectively solved; and high-precision and high-efficiency simulation of the metal deposition thickness distribution of the large-area panel-level system is also realized.

A design method for a passive simulator of full-space echo characteristics of an underwater vehicle includes: obtaining a target strength color map of the divided grid of the vehicle surface, and conducting a color interpolation on the divided grid, so as to obtain the distribution cloud map of the bright spot area contributed by the target strength of the underwater vehicle surface; dividing the scale model of the underwater vehicle into the bow, the midship and the stern, and retaining a contribution area to form the partial model of the bow, the midship and the stern; designing the partial simulator of each partial model, and determining the linear array of each partial simulator to form the underwater vehicle simulator; according to the time domain echo of the simulated underwater target, placing the bow, midship and stern simulator structures, and conducting the overall simulator design of the underwater target.

This invention relates to the field of industrial production technology, and particularly to a method, apparatus, equipment, and storage medium for adaptive reconfiguration of industrial production line topology. The method includes: initiating disturbance identification on the industrial production line; if a preset production line disturbance is identified, determining the disturbance information; scheduling edge computing nodes to remove the disturbance based on the disturbance information, and searching for feasible alternative paths using pre-stored process correlation data to generate a temporary reconfiguration strategy; controlling cloud supercomputing nodes to receive the temporary reconfiguration strategy, and calling a full-element digital twin model to perform global simulation verification of the temporary reconfiguration strategy; if the verification fails, initiating a preset optimization engine to adjust and optimize the temporary reconfiguration strategy, generating and outputting a final reconfiguration strategy that has passed verification; and distributing the final reconfiguration strategy to the production line execution control system. This method, through the two-level collaboration of edge lightweighting and cloud supercomputing, can balance real-time response, global decision-making, and operational security.

The invention discloses a rapid wall surface simulation method of a lattice point type unstructured grid finite volume method, and belongs to the technical field of calculation fluid wall surface simulation. According to the method, wall surface flow flux calculation logic is simplified, and the boundary facet center gradient is calculated through original grid physical quantity information projection; in the process of solving the convection flux and the diffusion flux, through calculation modes such as momentum interpolation and boundary node physical quantity interpolation, in combination with an iterative solution and under-relaxation processing mode, rapid solving of the wall surface flow flux is achieved, so that the time consumption of overall simulation calculation is shortened, the solving efficiency is improved, and the calculation cost in engineering application is reduced.

This application discloses a reservoir flood evolution simulation method and system based on multi-source data fusion, involving reservoir scheduling and data processing technologies. The method includes: acquiring historical flood events; extracting flood scenario features from each historical flood event to construct a historical flood scenario feature database; matching the most similar historical scenario in the historical flood scenario feature database based on current multi-source pre-flood hydrological data; calling the optimal simulation parameter set corresponding to the historical scenario; determining the local differences between the current multi-source pre-flood hydrological data and key data in the matched historical scenario based on the simulation parameters; adjusting the basic simulation parameters using monitoring data corresponding to the local differences to obtain global simulation parameters; and performing a global simulation based on the global simulation parameters. This application proposes a self-correcting and adaptive simulation chain that continuously absorbs real-time sensitive parameter information and dynamically adjusts itself to track the actual flood evolution during the simulation process.

The application relates to the technical field of aspheric mold parameter optimization, in particular to an aspheric mold parameter optimization design method and system based on dynamic modeling, which comprises the following steps: acquiring geometric data of a mold cavity; analyzing the geometric data to identify regions with key influence on the precision of a final product and regions with non-key influence; for the regions with key influence, deploying computing resources and performing simulation capable of reflecting microscopic physical processes; for the regions with non-key influence, performing simulation mainly considering computing efficiency; and exchanging and correlating physical field information between the simulation of the regions with key influence and the simulation of the regions with non-key influence to ensure the coherence of the overall simulation process. The application can improve the precision and reliability of the final product.