1189 results about "Process simulation" patented technology

The invention discloses a sewage treatment dynamic process simulation prediction method and system based on digital twinning, and relates to the field of digital twinning sewage treatment. By introducing a digital twinborn technology and a simulation prediction method based on advanced data analysis, complex dynamic changes in the sewage treatment process can be reflected in real time, and the defects of a traditional simulation technology in the aspects of treatment of nonlinear disturbance, frequent fluctuation and sudden pollution sources are overcome. Through multi-source data acquisition and time sequence alignment, in combination with nonlinear frequency domain disturbance modeling, noise and disturbance in the data can be effectively suppressed, and the quality and reliability of the data are improved, so that a more accurate basis is provided for subsequent modeling and prediction.

The invention discloses a concrete mixing plant automatic control system based on intelligence, and belongs to the technical field of automatic control. Comprising a multi-modal sensing data acquisition module, an intelligent batching optimization module, a digital twin simulation module, a self-adaptive energy consumption management module, a fault self-diagnosis and predictive maintenance module, a dynamic quality tracing module and a multi-target collaborative scheduling module. Real-time synchronization of sensor data and a virtual model is realized in combination with an edge computing technology, dynamic and visual technical support is provided for full-flow simulation of the concrete mixing plant, and complex working conditions in production are reflected more truly; the system predicts a potential problem through a machine learning algorithm, triggers an early warning signal based on a multi-dimensional threshold rule, and generates a preventive maintenance plan in advance; the digital twin platform supports AR and VR interaction interfaces, so that an operator can visually observe the operation states of a virtual model and actual equipment.

The invention relates to the technical field of river channel desilting treatment, in particular to a dynamic simulation and optimization decision-making-based river channel silt treatment method, which comprises the following steps of: acquiring and treating historical and real-time multi-dimensional environmental data of a to-be-treated river channel and an influence area of the to-be-treated river channel; a river basin process simulation system capable of simulating river water power, sediment transportation, pollutant migration and transformation and ecological response processes is constructed, decision variables forming a river regulation scheme are defined in a parameterized mode, a multi-target optimization problem is defined and set in a formalized mode, a multi-target optimization engine is adopted, and the river regulation scheme is optimized. The method comprises the following steps: embedding a drainage basin process simulation system as a core evaluation module into an optimization iterative loop, implementing an optimization scheme, and continuously monitoring the environmental state change in the implementation process and after the implementation; the method can accurately predict the long-term and short-term influence of different treatment schemes in multiple aspects of hydrodynamic force, silt, pollutant migration and transformation, ecological response and the like, and solves the problem of comprehensive treatment of sludge.

The invention relates to the technical field of model construction, in particular to a method and a system for constructing a sheet metal working three-dimensional process model. The method comprises the following steps: acquiring equipment specification data and material characteristic data; the method comprises the following steps: acquiring geometric parameters and motion parameters of sheet metal processing equipment by using a three-dimensional scanner, and integrating equipment specification data and material characteristic data to construct a sheet metal three-dimensional initial process model; analyzing a material plastic deformation characteristic of the material characteristic data and setting a processing parameter threshold range; the machining parameter threshold range is input into the three-dimensional initial process model for stage machining process simulation, the flange area strain rate, the dangerous section thinning rate and the rebound angle variable quantity are output, and stage machining process simulation comprises plate inflow stage simulation, forming stage simulation and shaping stage simulation. According to the method, three-dimensional scanning, comprehensive machining process simulation, topological optimization and a real-time error feedback mechanism are introduced, so that the construction accuracy of the sheet metal machining process model is improved.

The invention discloses a BIM-based process simulation and consultation service support system and method, and relates to the technical field of three-dimensional modeling and visualization. The system comprises a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision module and a visual scheme generation module. And multi-dimensional deviation early warning thresholds are set for different construction stages, the accuracy of conflict detection of various processes is ensured, meanwhile, environment illumination parameters collected by a sensor are linked with a BIM rendering engine in real time, the problem of light and shadow distortion in a digital twinning scene can be dynamically corrected, material texture misjudgment caused by illumination color temperature deviation is avoided, and the working efficiency of the digital twinning scene is improved. The accuracy of process conflict early warning is improved, and the construction safety risk and the resource scheduling error are reduced.

The invention discloses a port container transportation full-process simulation and space planning quantification system and method under random event deduction. The system comprises a data acquisition module, a data processing module, a process simulation module, an efficiency quantification index generation module and an efficiency quantification module. The data acquisition module is used for acquiring basic data in port operation; the data processing module is used for processing the basic data; the process simulation module is used for constructing port container transportation process simulation covering the whole process of ship navigation, ship berthing, quay crane loading and unloading, storage yard storage and container truck outward transportation based on the processed basic data, and obtaining a simulation result; the efficiency quantitative index generation module is used for obtaining an efficiency quantitative index according to the container transportation characteristics and the port operation experience; and the efficiency quantification module is used for quantifying the simulation result by utilizing the efficiency quantification index. According to the invention, the current operation efficiency level of the port can be measured comprehensively and objectively.

The invention discloses a process intelligent simulation method and system based on rational number fusion, and belongs to the technical field of high-end equipment manufacturing and artificial intelligence. The method comprises the following steps of: constructing a fusion database used for storing a mapping relationship between process parameters and organization characteristics by taking a mathematical model fusion normal form as a core, taking the mathematical model data as theoretical model data and taking the mathematical model data as industrial field data; constructing a multi-scale AI simulation agent model corrected by the industrial field data, and constructing an intelligent prediction model used for representing an association relationship between organization characteristics and service performance; and finally, receiving a target performance index, carrying out global optimization under double constraints of a physical boundary of a theory and a simulation environment which is corrected by a number by utilizing an AI reverse design engine, and carrying out reverse solution to obtain an optimal process parameter. Through a two-way closed-loop mechanism of a theoretic constraint number and a number correction theoretic, the fundamental problems of distortion of a theoretical model caused by a scale effect and lack of physical constraint with an AI model are solved.

The present invention discloses a method and apparatus for simulating thermal stress of a casting mold during a service process, and a storage medium. The method comprises: importing a pre-built three-dimensional geometric model of the casting mold, processing the geometric model, and then performing grid division to obtain a casting simulation finite element physical model; assigning material parameters, interface parameters, process parameters, and boundary conditions to the finite element physical model to obtain a casting simulation finite element calculation model; performing casting process simulation calculations to obtain casting simulation results such as mold temperature field and stress field, and exporting result data; interpolating a temperature-stress correction factor; multiplying all correction factor data under the same node numbers with mold stress data to obtain final thermal stress distribution data of the mold during the service process.

The invention relates to the technical field of numerical control machine tools, in particular to a numerical control machine tool digital twin model updating method and system. The method comprises the following steps: acquiring actual processing technology data; performing cutting process simulation according to the actual machining process data and the digital twin model of the numerical control machine tool to obtain cutting process data; performing tool wear state feature analysis on the cutting process data to obtain tool wear state data; updating a tool model according to the tool wear state data to obtain an updated tool model; according to the updated cutter model, dynamic contact state solving is carried out, and a dynamic contact solving result is obtained; and performing contact key data analysis on a dynamic contact solving result to obtain cutter-workpiece dynamic contact information. According to the method, the modeling precision and the simulation reliability are greatly improved, so that the digital twin model can reflect complex processing conditions more truly, and a reliable decision basis is provided for process optimization.

The invention relates to the technical field of ring piece rolling, and discloses a large special-shaped ring piece rolling forming process analysis method which comprises the following steps: (1) forge piece and blank design: designing different types of blanks; (2) material characteristic modeling: establishing a material model meeting rolling conditions; (3) finite element model establishment: establishing a geometric model of a rolling process by utilizing finite element analysis software; (4) rolling process scheme design: designing a plurality of rolling process schemes; (5) process simulation and defect prediction: analyzing strain, stress, temperature field and metal flow conditions in the simulated rolling process, and analyzing defect generation conditions; and (6) real-time monitoring and feedback control: monitoring changes of stress, strain and temperature in real time, and automatically adjusting process parameters. And through dynamic material characteristic modeling, a self-adaptive grid division technology and multi-physical field coupling analysis, the analysis accuracy of the rolling process is improved, so that defect prediction is more accurate, and the quality of finished products is improved.

The invention relates to a control method and a control system for a multi-agent water plant process system. The method comprises the following steps: constructing a control objective function for maximizing the global revenue of the water plant process system; performing process simulation on the single agent of the water plant process system according to the constraint condition to obtain an optimal control scheme of the single agent; grouping and integrating the optimal control schemes, and performing multi-target iterative optimization on at least one formed multi-agent cooperative control scheme set according to a control target function to obtain a multi-agent cooperative control strategy meeting the control target function; and dynamically adjusting the multi-agent cooperative control strategy according to the real-time change information of the water plant process system, and deploying the adjusted optimal multi-agent cooperative control strategy to the water plant process system. According to the method, the competition and cooperation relationship between the single agents is managed through an innovative coordination mechanism, and it is ensured that the overall harmony and the water production efficiency of the water plant are not damaged while all the single agents pursue the optimization target of the single agents.

Disclosed in the present invention are a method and system for building a compilable customized module. The method comprises: customizing a module on the basis of a process, defining a modeling language syntax, and generating a modeling language file corresponding to the customized module; establishing a text matching rule and a grammar matching rule, using flex to generate a source program file of a lexical analyzer from the text matching rule, and using bison to generate a source program file of a syntax analyzer from the grammar matching rule; performing lexical analysis and generating an abstract syntax tree; traversing the syntax tree, generating a translation C++ file for a modeling language on the basis of a syntax-based translation configuration file, and compiling the translation C++ file; and importing the built customized module and an executable binary file into a simulation platform, and performing flow simulations for different scenarios including process simulation, optimization and parameter tuning. The present invention can realize the rapid commissioning of a process and can seamlessly switch a customized model to various application scenarios.

The invention provides an electroplating process parameter optimization control simulation system based on an intelligent algorithm, and belongs to the technical field of electroplating process simulation, the system comprises a relation module, a model module and a system module, a plurality of optimization targets are identified, quantitative indexes are set, and the relation between the targets and electroplating process parameters is established; according to the method, an intelligent algorithm is utilized to optimize process parameters and generate an optimization result on the basis of considering limiting conditions, a simulation model is constructed, a user-friendly front-end interface and a user-friendly rear-end interface are developed, the simulation model is integrated, user operation and result checking are facilitated, efficient and stable electroplating process optimization is achieved, and the overall performance of the electroplating process is improved.

The invention provides an SMT patch correction system linked with AOI and a method thereof. The SMT patch correction system comprises a stokehole AOI detection module, a stokehole AOI detection module, a multi-dimensional sensing module, an intelligent data center module, an AI decision optimization module and a process simulation verification module. According to the method, the AOI detection data in front of and behind the furnace are fused through the intelligent data center module, the mapping relation of knowledge graph associated elements, the technology and offset data is constructed, a linkage closed loop is formed, and offset source tracing and full-process dynamic deviation correction are achieved; environmental parameters such as temperature, vibration and suction nozzle pressure are collected in real time through the multi-dimensional sensing module, and the environmental parameters are standardized through an intelligent data platform and then are included into correction logic of the AI decision optimization module, so that dynamic compensation of the influence of environmental factors on the mounting precision is realized; a deep learning and reinforcement learning cooperation strategy is adopted through the AI decision optimization module, parameters are dynamically optimized and corrected in combination with thermal deformation simulation and other multi-source information of the process simulation verification module, and the adaptability to different element types and production scenes is improved.

The invention provides an automatic height adjustment and optimization implementation method for an energy dissipation device of a trailing suction dredger. The automatic height adjustment and optimization implementation method comprises the four steps of core parameter determination, loading process simulation, loading efficiency analysis and energy dissipation device height optimization output. And establishing a prediction model through numerical simulation calculation and a convolutional neural network, and obtaining a height recommendation value of the energy dissipation device. The height optimization system for the trailing suction dredger-mounted energy dissipation device comprises a core parameter input module, a loading process simulation and prediction module, a loading efficiency analysis module, a design optimization output module and an automatic height adjustment module. The height of the energy dissipation device can be automatically and flexibly adjusted, and the loading efficiency and the loading flatness of silt in the cabin are improved by reducing overflow loss.

The invention provides a deep rock mass creep-seepage coupled near-field dynamics simulation method and system, and relates to the technical field of geotechnical engineering.The method comprises the steps that a near-field dynamics numerical calculation model is established based on geological survey data; based on the Burgers creep constitutive model, a near-field dynamic creep-seepage coupling basic motion equation is formed; and carrying out rock mass creep process simulation considering the seepage effect by utilizing the near-field dynamics numerical calculation model and the creep-seepage coupling basic motion equation, and carrying out iterative solution on stress, strain, displacement, water pressure and damage of each time step in the simulation process until iteration stop conditions are met, so as to obtain the rock mass creep process. And finally, obtaining distribution characteristics of a rock mass displacement field, a damage field and a seepage field and a creep characteristic curve, and realizing near-field dynamic simulation of a rock mass creep-seepage coupling process. According to the method, the technical blank of near-field dynamics in the field is filled, and the long-term stability of the engineering rock mass and the disaster evolution process are accurately reproduced and predicted.

The invention relates to the technical field of control systems, in particular to a production process optimization control system and method for a heat shrink film. The method comprises the following steps: obtaining resin characteristic parameters of a heat shrink film raw material, and constructing an initial digital twinborn model by using the resin characteristic parameters; acquiring real-time production data, and updating the initial digital twinborn model by using the real-time production data to obtain a complete digital twinborn model; and performing melt ultrasonic-assisted homogenization and two-way stretching process simulation based on the digital twin model, and performing optimization analysis by using a simulation result to generate optimized process parameters. By constructing and updating the digital twinborn model, the melt uniformity and process parameter optimization are accurately controlled, the quality consistency and stability of the thermal shrinkage film are improved, and the product is ensured to meet the mechanical, optical and thermal shrinkage performance requirements.

According to the intelligent radiator welding method and system based on welding residual stress control, temperature field data of a welding area are obtained through a sensor array, a temperature gradient mapping image is generated, residual stress distribution is determined through heat-structure coupling finite element analysis, and a thermal expansion coefficient and a welding speed parameter are extracted; when the deviation exceeds a deviation threshold value, the heat input power and the welding speed are adjusted, parameter combination is optimized, heat input distribution is redistributed, new temperature field distribution is generated by adopting a power segmentation adjustment algorithm, residual stress relief data are extracted, and if the stress reduction rate is insufficient, the welding speed is adjusted; if yes, cooling parameters are adjusted for thermal stress release, through finite element iteration fed back in real time, a process correction scheme is generated, full-process simulation verification is conducted, and the fatigue life and the thermal conductivity index are obtained. Accurate control over the residual stress in the welding process is achieved, and the intelligent welding quality and the structural stability are improved.

The invention belongs to the technical field of isothermal extrusion parameter optimization, and particularly relates to an isothermal extrusion energy consumption optimization method based on a particle swarm optimization algorithm, which comprises the following steps: S1, constructing an extrusion energy consumption model of a profile to obtain a process parameter combination strongly associated with processing energy consumption; s2, carrying out extrusion forming process simulation on the basis of the strong-correlation process parameter combination to obtain machining simulation data; s3, the machining simulation data are used for training the machining prediction model, and the incidence relation between the machining parameters and the energy consumption and profile quality indexes is obtained; s4, based on the trained prediction model, performing multi-objective optimization solution to obtain optimized processing parameters; the targets of the multi-target optimization comprise the lowest energy consumption and the satisfaction of the quality index standard; and S5, the machining parameters obtained in the step S4 are used for conducting actual isothermal extrusion machining on the profile. According to the method, reasonable process parameters can be obtained, the energy consumption in the isothermal extrusion machining process is effectively optimized, and meanwhile the product quality can be collaboratively optimized.

The invention relates to the technical field of numerical simulation, in particular to a grid model generation method for the fluid displacement process of well cementation engineering. The method comprises the following steps: acquiring geological data of a well cementation project area, and constructing an initial geological model; well cementation engineering design data are obtained, well cementation engineering topological structure modeling is carried out, and a well cementation engineering topological structure model is obtained; according to the initial geologic model and the well cementation engineering topological structure model, fluid dynamic simulation is carried out, and a fluid characteristic matrix is obtained; performing fluid displacement process simulation according to the fluid characteristic matrix to obtain fluid displacement process data; performing fluid displacement process optimization on the well cementation engineering design data based on the fluid displacement process data to obtain optimized fluid displacement process data, and performing resource allocation redistribution on the well cementation engineering design data according to the optimized fluid displacement process data to obtain optimized well cementation engineering design data. According to the invention, the accuracy of fluid displacement simulation can be improved.

The invention relates to the technical field of data mining, in particular to a method and system for intelligently generating a sheet metal part process model. The method comprises the following steps: acquiring structural data of a sheet metal part processing workshop, and carrying out topological structure analysis to generate a processing technology model; acquiring design data of sheet metal parts, establishing a three-dimensional model, and performing machining simulation by using a process model to obtain simulation data; integrating historical processing finished product feature data, extracting surface features, and obtaining actual finished product data; finished product parameterization description is carried out on the machining simulation data, surface defects of a finished product are evaluated, and defect data are obtained; the simulation machining stress distribution uniformity is evaluated, and surface quality influence factors are calculated; and optimizing the processing technology model according to the quality influence factor, and uploading to a management platform to execute a simulation generation task. The accuracy of the sheet metal part process model can be improved.

The invention belongs to the technical field of petrochemical process simulation and intelligent optimization control, and particularly relates to a method for constructing and optimizing a full-fraction oil catalytic cracking reaction kinetic model. The construction method comprises the steps of raw material matrix construction, reaction network construction, product property calculation, model parameter optimization and process prediction calculation. The optimization method comprises the following steps: constructing a process optimization index system comprehensively reflecting environmental and economic targets; systematic optimization of reaction conditions and product distribution is realized; intelligent regulation and efficient prediction of the catalytic cracking process are realized; and optimal reaction operation conditions meeting multiple requirements are obtained. The method is high in adaptability, process parameters can be adjusted according to the properties of the raw materials, and efficient conversion is achieved. By optimizing the catalytic cracking process, the yield of aromatic hydrocarbon can be remarkably improved. By predicting and optimizing reaction conditions through the kinetic model, the energy consumption is reduced, the reaction efficiency is improved, meanwhile, the equipment investment and operation cost can be reduced, and the production efficiency and economic benefits are improved.

The invention discloses a wind driven generator structure high-cycle fatigue cross-platform simulation method based on multi-scale coupling modeling, and aims to accurately evaluate a fatigue damage state of a wind driven generator structure under the action of a high-cycle low-amplitude load. Firstly, a multi-scale model based on coupling of a fan overall structure finite element model unit and a local cracking area near-field dynamic model is established, and fan power time-history analysis is carried out based on a finite element analysis platform; then response data are transmitted to a processing platform, a rain flow counting method and a linear damage accumulation criterion are combined, the fatigue damage state of the connection key is determined, a fatigue life attenuation value is calculated, the fatigue cycle number needed by local crack propagation is determined, and the residual fatigue life of the unbroken key is updated; and finally, correcting the fan model, removing a newly added fracture key at the tip of the crack, and repeating dynamic time-history analysis and damage updating until the structure fails. According to the method, whole-process simulation and fatigue behavior analysis of fan fatigue crack propagation are realized, and important reference is provided for fan design optimization and maintenance.

The invention discloses a continuous-discontinuous numerical simulation method considering a rock mass thermal coupling problem, and the method comprises the steps: dividing a simulation region into a potential damage region and a non-damage region, and carrying out the grid division of the simulation region; then generating a thermal calculation node system and a force calculation node system for analog calculation, wherein a mapping relationship exists between the thermal calculation node system and the force calculation node system; jointing units are arranged on the grid boundary of the potential damage area, and the rock mass fracture process is simulated through damage of the jointing units; the simulation process is decomposed into a plurality of calculation steps, the heat conduction process and the mechanical calculation process in each calculation step are solved in sequence, whether the joint unit is damaged or not is judged according to the deformation and stress state of the joint unit, the mapping relation is updated until the last calculation step is finished, and the thermal fracture process simulation of the rock mass is completed. According to the method, artificial heat transfer parameters can be prevented from being introduced in the heat conduction simulation process, the fracture evolution rule of the local area of the rock mass is researched in a targeted mode, the calculation cost of the model is reduced, and the dynamic fracture process in the rock mass thermal coupling problem is effectively simulated.

The invention discloses a landslide construction simulation method based on finite elements, particularly relates to the field of construction simulation, and realizes whole-process dynamic simulation through GTS-NX software. Firstly, a three-dimensional finite element model is established based on geological exploration data, a Mohr-Coulomb elastic-plastic constitutive model is adopted, and the bulk modulus and the shear modulus are calculated through the elastic modulus and the Poisson's ratio. The initial ground stress is simulated by adopting a self-weight stress field method, and the initial displacement influence is eliminated by adopting a displacement difference method. In construction process simulation, the unit passivation / activation technology is adopted to accurately reproduce the excavation and support time sequence, and cyclic calculation of excavation-stress release-support-balance is achieved. In nonlinear analysis, superposition of an elastic stress field and a plastic stress field is considered, and an unloading influence factor is introduced to correct anisotropy of a deformation modulus. A safety coefficient is calculated through a strength reduction method, a multi-working-condition evaluation system is established, a monitoring data fusion and parameter inversion mechanism is developed, and a three-level early warning system is formed.

The invention relates to the technical field of port operation simulation software systems, and particularly discloses a quay crane operation process simulation system and method for port intelligent driving. The quay crane operation process simulation system comprises a data interaction module, a quay crane motion simulation module, a service simulation module, a simulation control module, an operation backtracking module, an analysis and optimization module and a simulation display module. The method has the beneficial effects that a complex port operation process is completely mapped to a digital space through fine dynamic modeling and coding, a port manager can visually observe and analyze the whole operation process in a virtual environment through full-process digitization, and potential problems can be found and solved in time; based on the constructed 3D simulation environment, natural environment data and random events are combined to carry out work process simulation, meanwhile, simulation data are fed back to a simulation system to carry out closed-loop control, simulation errors are reduced, and the work process simulation authenticity is improved.

The invention discloses a device and a method for testing the negative carbon amount in the whole process of sealing carbon dioxide by a filling body. The device comprises a filling body sealing carbonization subsystem, a high-pressure gas injection subsystem, a triaxial stress loading subsystem, a constant-temperature control subsystem, a data acquisition subsystem and a vacuumizing subsystem. The stress loading subsystem and the constant temperature control subsystem are used for simulating real filling and sealing conditions, helium and carbon dioxide are injected through the high-pressure gas injection subsystem, and the high-pressure gas injection subsystem is used for measuring the free space volume of the reaction kettle and the negative carbon amount and permeability of a filling body. According to the invention, the problem that the sealing capacity and the sealing efficiency are difficult to accurately measure in the existing simulation test for sealing carbon dioxide by the filling body is solved, and the whole-process simulation test for sealing carbon dioxide by the filling body under triaxial stress loading, temperature control and gas injection pressure control can be realized; the negative carbon amount and the permeability of the filling body in the whole sealing process can be accurately tested, and experimental support is provided for research of a carbon dioxide sealing mechanism of the filling body and technical field application thereof.

The invention relates to a photoresist spin-coating process simulation method and computer equipment, and the method comprises the steps: building a fan-shaped simulation grid based on the parameter information of a target wafer and the position information of a photoresist injection port; the fan-shaped simulation grid is a fan-shaped space area in the columnar space; the columnar space is a space area defined by space extension by taking the surface of the target wafer as the bottom surface and taking the plane where the photoresist injection port is located as the top surface; establishing a two-phase flow fluid mathematical model; through the target solver, the two-phase fluid mathematical model is iteratively solved according to the boundary condition of the fan-shaped simulation grid, the fluid attribute corresponding to the two-phase fluid and the initial condition of process simulation, and the photoresist spin-coating process simulation result is determined, so that the photoresist spin-coating process simulation efficiency is improved, and the photoresist spin-coating process simulation efficiency is improved. The problems of high cost and time consumption required by a traditional simulation method are avoided, and adjustment and optimization of process parameters are more efficient and flexible.

The invention discloses a technological method for forming an aluminum alloy shell through selective laser melting. The technological method comprises the steps that S1, model treatment is conducted; s2, supporting design; s3, carrying out analog simulation; s4, selective laser melting forming; s5, post-processing is carried out; s6, quality detection; according to the method, process simulation analysis is carried out on the additive manufacturing process risk, thermal-structure coupling field simulation calculation is carried out on a component, and deformation, temperature and stress distribution of all stages such as printing, substrate cutting and support removal are analyzed; time and economic cost can be saved, and the method can also be used for exploring process parameters and formulating an optimal process scheme; by means of the reversible deformation compensation technology, the printing problem is effectively reduced, the printing precision is improved, and when the part size precision requirement is high, the technology can assist printing and accurate forming; the method disclosed by the invention can be popularized and applied to other parts formed by selective laser melting, and has wide social benefits and economic benefits.

The invention relates to the technical field of exchange decision making, and discloses a multi-objective optimized capacitor bank intelligent exchange decision making system, which comprises a data acquisition and twin synchronization module, a strategy generation module, a risk preview module, an optimization decision making module and a calibration updating module, and is characterized in that real-time state sensing is realized through the data acquisition and twin synchronization module; the strategy generation module formulates a low-oscillation risk exchange strategy, the risk rehearsal module verifies the safety of the strategy, the optimization decision module screens an optimal scheme, and the calibration update module ensures the accuracy of the digital twin and the continuous optimization of the system. By dynamically adjusting the simulation step size and a real-time oscillation detection mechanism, high-frequency numerical oscillation introduced by the power electronic equipment is effectively suppressed, the accuracy of transient process simulation is remarkably improved by combining the regularized admittance matrix and multi-time scale coupling simulation, the recognition capability of a safety verification system on operation risks is ensured, and the safety verification system has a wide application prospect. And mistaken release of a high-risk strategy is avoided.