4133 results about "Simulation test" patented technology

The invention relates to the technical field of software development management, in particular to an internet software development management system and method. The method comprises the following steps: collecting an original function demand set and carrying out function clustering analysis; extracting and classifying demand function features and generating independent demand units; carrying out dependency analysis on the independent demand units; constructing a dependency relationship set and a demand logic structure; the method comprises the following steps: generating a demand framework matrix, carrying out organization network simulation to obtain a demand connection network, carrying out code reverse evolution according to the demand connection network, carrying out basic parameter matching to obtain evolution basic parameters, carrying out a pressure simulation test on the evolution basic parameters to generate a pressure test result, and capturing resource pressure defects based on the pressure test result. And optimizing and adjusting the evolution basic parameters to generate optimized development parameters. According to the invention, a more efficient Internet software development management method is realized.

The invention discloses a parameter feature-based test case generation method and a related product. In the scheme, a parameter document of target simulation software is obtained; and extracting parameter feature information of the target simulation software based on the parameter document. And on the basis of the parameter feature information, matching a test case template and a code generation rule in a pre-constructed code knowledge base, and generating an initial test case code. And dynamically optimizing the initial test case code according to feedback data generated in a simulation test process to generate a target test case code. According to the technical scheme, the parameter feature information is automatically extracted, the complex dependency relationship between the parameters is accurately analyzed, the test case is automatically generated based on the knowledge base matching template and rule, software changes are adapted in real time in combination with a dynamic optimization mechanism, dynamic and efficient generation of test case codes is achieved, and the test efficiency is improved. The coverage degree and the adaptability of the test case codes are improved, and then the accuracy, the comprehensiveness and the efficiency of the test are improved.

A grouting simulation test system and method for high-temperature water-rich filled fractures. The grouting simulation test system comprises: a water head intelligent sensing and adjusting module, a fracture medium intelligent simulation module, a double-liquid grouting module, a data analysis module, and an intelligent control module. The fracture medium intelligent simulation module comprises a water bath circulation temperature control unit, a fracture model (11), and an opening degree adjustment unit. The water bath circulation temperature control unit is arranged on upper and lower sides of the fracture model (11). Circulating water is provided in the water bath circulation temperature control unit, and the temperature of the circulating water is controllable. The fracture model (11) is formed by combining a plurality of model units. The opening degree adjustment unit is connected to the water bath circulation temperature control unit above the fracture model (11) and is capable of raising and lowering the water bath circulation temperature control unit. The present test system can achieve the study of a grouting diffusion mechanism under the coupling action of two or more factors such as different slurry properties, dynamic water flow velocity, dynamic water temperature, fracture medium multivariate factors, medium temperature, and filling conditions.

The invention discloses an integrated verification and test system and method for complex rules of a substation monitoring system, and the system comprises a rule editing module which provides a visual interface to support a user to edit the complex rules containing various types of variables and time sequence constraints; the analysis and verification module is used for performing grammar, variable conflict and business compliance multi-level verification on the rules; the intelligent test case generation module is used for automatically generating test cases covering normal, boundary and abnormal conditions based on the rule tree structure; the simulation test interface module converts the use case into a standard test script, submits the standard test script to a simulation tool for execution, and outputs the standard test script to a monitoring system through protocol conversion; the result analysis module is used for comparing an execution result with an expected result and generating a structured test report; according to the invention, full-process automation of rule verification and testing is realized, the verification efficiency is remarkably improved, and the test requirements of various transformer substation business scenes are met.

The invention discloses a big data prediction model intelligent ammonia spraying control method and system suitable for kiln flue gas denitration. According to the ammonia spraying control method, historical and real-time data of multiple parameters such as the fuel gas flow of the glass kiln are collected firstly, the NOx amount is predicted through modeling of the LSTM-GRU hybrid neural network, the ammonia spraying amount is calculated through self-adaptive control, and the accuracy is ensured through two-stage correction. And the calculated ammonia spraying amount is transmitted to a production master control system to adjust an ammonia supply valve, and automatic alarm and manual control are switched in case of failure. The system comprises a data acquisition module, an intelligent prediction module, a self-adaptive control module and the like, and further comprises a dynamic catalytic reaction simulation test platform for optimization. According to the invention, intelligent automatic control of the big data model is realized, the ammonia spraying amount is accurately adjusted, the denitration efficiency and the ammonia utilization rate are improved, the operation cost is reduced, and the system reliability and stability are enhanced.

The invention belongs to the technical field of material and coating corrosion tests, and relates to a whole sea area atmospheric environment comprehensive simulation test system, which adopts an integrated structural design, and performs integrated coupling of various environmental test simulation capabilities on the basis of a single-function test box. The device has the test capabilities of metal material corrosion acceleration test, organic composite material and coating aging evaluation and the like, can simulate the global marine atmospheric environment and coupling of multiple factors such as air temperature, humidity, salt mist and ultraviolet irradiation, can perform comprehensive test evaluation on the whole-sea-area marine atmospheric environment of typical materials, avoids the problem of inconvenient operation of corrosion tests, and has a wide application prospect. The device can be used for corrosion and ultraviolet aging tests of conventional marine atmospheric environment corrosion media, polar regions, tropical regions and other extreme marine atmospheric environments, and material corrosion tests for simulating marine splash zones, tidal range zones and the like. The device is simple in structure and convenient to operate, and coupling of multiple factors of high and low temperature, humidity, salt mist, ultraviolet illumination and periodic infiltration can be achieved.

The invention relates to the technical field of power system testing, in particular to a transformer simulation test current optimization method based on dynamic impedance matching, which comprises the following steps: performing low-power scanning on a tested transformer to establish a nonlinear model capable of predicting harmonic waves; actively synthesizing the virtual impedance of the target power grid; and a feed-forward compensation current is generated by using a harmonic prediction model and is injected into the transformer after being superposed with a fundamental wave instruction. According to the method, accurate identification modeling is carried out on nonlinear characteristics of a tested unit, active synthesis of virtual impedance of a target power grid is combined, and harmonic compensation current is generated in real time by utilizing a feedforward control thought so as to optimize finally injected test current. According to the method, the problems of inaccurate power grid simulation and insufficient nonlinear response coupling of the transformer in a traditional test are solved, high-fidelity current injection is realized, real electrical behaviors of the transformer under various complex power grid working conditions can be accurately simulated, and the flexibility, accuracy and safety of the test are remarkably improved.

The invention relates to the technical field of data governance, and discloses a data governance method based on an industrial big data platform, which comprises the following steps: processing an organizational structure document and a business process definition through a text semantic analysis technology, and generating a responsibility allocation matrix; analyzing the historical data access behavior of the user, and depicting the data use characteristics of the user; according to the user model and the responsibility matrix, in combination with data sensitivity scoring, scene feature extraction and multi-dimensional risk calculation, dynamic permission decision is realized; for the decision-making mechanism, verifying the security influence of the authorization strategy through a simulation test; performing adaptive adjustment on model parameters according to a test result, and dynamically updating the initial responsibility matrix to form closed-loop management; through organizational structure intelligent analysis, user behavior modeling, risk awareness permission decision, digital twin verification and adaptive optimization, accurate division and dynamic adjustment of data governance responsibilities are realized, and the intelligence and dynamic adaptability of data permission management are improved.

The invention discloses a fault detonation simulation test method and platform for an extra-high voltage converter transformer network side bushing, and the method comprises the steps: providing a critical value calculation method for primary physical explosion and secondary chemical explosion of the extra-high voltage converter transformer network side bushing under different arc fault energy conditions; and the critical conditions of primary physical explosion and secondary chemical explosion can be accurately judged. According to the invention, the whole dynamic evolution process from rapid cracking of transformer oil and sudden pressure increase caused by converter transformer fault arc to superposition of physical explosion and explosion chemistry can be truly simulated, a grid-side bushing fault detonation critical discrimination method is provided, and technical parameters and theoretical support are provided for the explosion-proof and pressure-relief design of the converter transformer.

The invention discloses an umbrella ladder type land-based high-altitude wind power generation system optimal working point determining method and device, equipment, a medium and a product, and relates to the field of land-based wind power generation. The method comprises the following steps: in a ground coordinate system, respectively constructing a polar coordinate system of an umbrella body and a wind-facing coordinate system of the umbrella body; based on the constructed polar coordinate system and the wind-facing coordinate system, establishing a dynamic model of an umbrella ladder system in the umbrella ladder type land-based high-altitude wind power generation system; determining a cable output mechanical power model according to the kinetic model; and a wind speed-rope speed relation model in the optimal operation state is obtained through deduction in combination with a simulation test auxiliary theory, so that the optimal working point is determined, and the rope releasing speed in the rising process of the umbrella ladder system in the umbrella ladder type land-based high-altitude wind power generation system is controlled according to the optimal working point. According to the method, the operation parameter data in the optimal operation state can be determined, so that the umbrella ladder type land-based high-altitude wind power generation system works in the optimal operation state.

The invention provides an anthropomorphic automatic driving simulation test scene construction method. The method comprises the steps that all vehicles in a traffic scene are divided into two types of intelligent agents including a test vehicle and an environment vehicle, the traffic scene is modeled into a Markov decision process, the test vehicle is a vehicle controlled by an automatic driving algorithm, and the environment vehicle is a vehicle controlled by a GAIL-GRU driving strategy model; a Markov decision process is utilized to extract a driving track from the human driving data set, and an expert track data set is generated; and training a GAIL-GRU driving strategy model by using the expert track data set, realizing interaction between an environment vehicle and a test vehicle by using the trained GAIL-GRU driving strategy model, and constructing a simulation test scene. The automatic driving simulation test scene constructed by the invention can effectively expose decision defects of an automatic driving algorithm in a complex interaction situation, has good anthropomorphism and relatively high risk scene coverage, and provides support for a decision control simulation test of a high-level automatic driving vehicle.

The invention discloses a high-temperature and high-pressure multifunctional integrated shock tube test system, belongs to the technical field of explosion and impact dynamics tests, and aims at solving the problem that an existing shock tube is usually single in function and is only used for a simulation test of a certain function. The high-pressure section and the low-pressure section of the shock tube are both made of high-temperature-resistant nickel-based alloy, an induction heater is adopted for heating, high-pressure inert gas is filled into the high-pressure section through pressure gradients of diaphragm sets with different layers of diaphragm clamping sections, high temperature and high pressure of the high-pressure section at the temperature of 20-900 DEG C and the pressure of 0.1-50 MPa are obtained, and the high-pressure shock tube has the advantages that the high-pressure shock tube is compact in structure and low in cost. The multifunctional integrated shock tube test system can be used for researching the crushing characteristics of rock materials under the conditions of different pressures, temperatures, water contents and the like, the damage characteristics of explosion shock waves in the air to a target piece and the impact damage characteristics of a high-speed projectile body. Effective methods and means are provided for related research, and the shock tube test technology and engineering application capability are expanded. The test system is easy to implement, low in cost and multipurpose.

The invention relates to the technical field of mechanical performance testing of power transformer winding materials, in particular to a method for evaluating the mechanical strength of a transformer winding under a reclosing working condition, and the method comprises the steps: obtaining and preprocessing historical operation data, finite element simulation data and laboratory simulation test data; deploying a micro foil strain gauge, an MEMS acceleration sensor and a flexible piezoresistive sensor based on the preprocessed data, and synchronously collecting radial strain, axial acceleration and cushion block pressure data; after noise filtering, time alignment and feature extraction, multi-directional deformation cooperative influence is analyzed through methods of Pearson's correlation coefficients, partial least square regression and the like; and in combination with a historical damage sample training evaluation model, outputting a mechanical strength degradation level in real time. According to the method, the problems of synchronous acquisition and correlation analysis of multi-direction deformation data under reclosing impact are solved, and accurate evaluation of overall mechanical strength change caused by accumulated deformation is realized.

The invention relates to a fault diagnosis method of a photovoltaic inverter, a computer program product and equipment. The fault diagnosis method comprises the following steps: applying a test input signal to a photovoltaic inverter to be diagnosed, and collecting an actual measurement test signal of the photovoltaic inverter in response to the test input signal; performing analog simulation on the test input signal by using a photovoltaic inverter model pre-generated by the photovoltaic inverter to obtain an analog test signal; and comparing the actual measurement test signal with the simulation test signal to obtain the operation state of the photovoltaic inverter. According to the invention, whether the photovoltaic inverter is in an abnormal operation state or not can be known conveniently and quickly by comparing the actual measurement test signal with the simulation test signal. Furthermore, when the photovoltaic inverter is in an abnormal operation state, possible fault reasons of the photovoltaic inverter can be quickly positioned by analyzing the difference value between the actual measurement test signal and the simulation test signal, and a control scheme or a design scheme of the photovoltaic inverter can be adjusted.

The invention relates to the technical field of circuit design, in particular to a digital circuit simulation design method and system. The method comprises the following steps: identifying a design demand document, performing deep semantic analysis and demand constraint mining, and constructing a demand specification constraint parameter set; performing demand complexity evaluation and multi-level division according to the demand specification constraint parameter set, and constructing a basic circuit architecture design blueprint; circuit routing path planning is carried out according to the basic circuit architecture design blueprint, and a standardized circuit topology network is constructed; performing electric signal propagation simulation on the standardized circuit topology network, and performing global circuit adaptability adjustment to obtain a circuit topology design scheme; and carrying out an extreme condition simulation test based on the circuit topology design scheme, and carrying out comprehensive performance evaluation to obtain a circuit performance evaluation report. By deeply understanding the user demand intention, the circuit layout matched with the user demand is designed, and the overall circuit performance is improved.

The invention provides a notebook computer pre-installed environment simulation test method and system based on a virtualization technology, and the method comprises the steps: firstly creating a virtualization environment instance which is matched with a target notebook computer hardware architecture and comprises a pre-installed operation system and a preset software set, and then injecting a simulation user operation behavior sequence according to a predefined environment configuration strategy, the method comprises the steps of generating a dynamic test case set, executing and monitoring running state data in a virtual environment instance, generating an environment compatibility analysis report by extracting an abnormal response mode in the running state data, and finally adjusting resource configuration parameters of the virtual environment instance according to the environment compatibility analysis report. And generating the optimized pre-installed environment mirror image file, so that efficient and comprehensive simulation test on the notebook computer pre-installed environment is realized, and the test efficiency and accuracy are effectively improved.

The invention discloses a compressed air energy storage indoor simulation test device and method, and relates to the technical field of compressed air energy storage. The device comprises a triaxial pressure servo control system, a temperature control system, an air pressure control system and a multi-parameter measurement system, and can cooperatively simulate the real working environment of the underground gas storage. The triaxial system comprises a high-pressure tank body and a loading device and is used for applying triaxial stress to the rock sample; the temperature control system adjusts the temperature of the rock sample; the air pressure system comprises a high-pressure destructive experiment mode and a low-pressure precise simulation mode, the high-pressure destructive experiment mode is used for carrying out a high-pressure test and verifying the critical burial depth under different geological conditions, and the low-pressure precise simulation mode is used for researching the mechanical behavior, the damage mechanism and the leakage mechanism of the gas storage by regulating and controlling the air pressure and the flow and simulating the inflation and deflation process; the multi-parameter measurement system collects rock sample physical response data in real time. Through cooperative work of multiple systems, response characteristics of multiple support sealing systems under different conditions can be accurately reflected, and the system has remarkable simulation precision, experiment efficiency and cost advantages.

The invention relates to the related technical field of distribution transformer insulation aging, in particular to a frequency domain diagnosis method, system and device for distribution transformer insulation aging and a medium, and the method comprises the steps: carrying out the frequency response test of a to-be-tested transformer, and obtaining a first frequency response curve; performing a frequency response simulation test on a transformer equivalent circuit model pre-constructed based on the to-be-tested transformer to obtain a second frequency response curve; constructing a target function based on the deviation of the first frequency response curve and the second frequency response curve; taking element parameters in the equivalent circuit model of the transformer as position vectors, taking the objective function as a fitness function, and adopting a multi-objective particle swarm algorithm to solve the element parameters to obtain optimal values of the element parameters; respectively comparing the optimal values of the element parameters with corresponding normal values to obtain insulation aging degrees; according to the method, the insulation aging degree can be obtained by comparing the element parameters obtained through optimization with the normal unaged element parameters.

The invention relates to the technical field of capacitance compensation matching, in particular to a dynamic tuning capacitance compensation matching method and system for a transformer simulation test. The method comprises the following steps: before a test is started, establishing a digital twin model based on parameters of a transformer to be tested, identifying a systematic measurement error source caused by inherent characteristics of a system through simulation, and generating error source correction parameters; in the test period, voltage and current original waveforms containing electrical disturbance in a test loop are obtained in real time through high-frequency synchronous sampling; a mixed disturbance separation model is used, the collected original waveform and the generated error source correction parameters are used as input, and random measurement disturbance components caused by load dynamic changes are calculated and separated in real time; and based on the separated disturbance component, driving a dynamic capacitance compensation module to generate a compensatory electric signal which is equal to the disturbance component in size and opposite to the disturbance component in phase, and injecting the compensatory electric signal into a test loop so as to realize active disturbance cancellation. According to the invention, the measurement precision of the transformer simulation test can be improved.

The invention discloses a truck hub maintenance-free bearing all-condition simulation testing machine, which comprises a tool table, a servo driving system, a servo hydraulic system and a temperature control simulation system, and is characterized in that the tool table is provided with a tool seat and a main shaft movably arranged on the tool seat, and a to-be-tested bearing is detachably connected between the main shaft and the tool seat; the servo driving system is in linkage fit with the main shaft to simulate the actual operation condition of the bearing, the tool table is provided with a special-shaped load plate and a mandrel, the special-shaped load plate is in linkage fit with the mandrel, and the mandrel is inserted into an inner ring shaft hole of the bearing to be tested and is detachably connected with the inner ring shaft hole of the bearing to be tested. The servo driving system is in linkage cooperation with the special-shaped load plate to simulate the load working condition of the bearing during actual operation, and the temperature control simulation system is in linkage cooperation with the bearing to be tested to simulate the actual temperature working condition of the bearing. According to the invention, the problem that a test device for carrying out a multi-working-condition simulation test on a truck hub bearing is lacked in the prior art is solved.

The invention discloses a simulation test method and device, computer equipment and a storage medium, and relates to the technical field of semiconductors, and the method comprises the steps: carrying out the simulation test of a to-be-tested design, and carrying out the decrement counting of a work clock of the to-be-tested design based on a preset timer; detecting an output result of the to-be-tested design; and if the output result is not detected when the counting is finished, stopping the simulation test of the to-be-tested design. According to the method, whether the to-be-tested design has the abnormal state or not is judged by detecting the output condition of the to-be-tested design in real time, and simulation is automatically stopped if the abnormal condition exists. The overtime detection time does not need to be set, and the management of the test case is simplified, so that the simulation test efficiency is improved, the promotion of the verification task is accelerated, and the problem of easy suspension in the simulation test process is solved.

The invention discloses a consumer feedback analysis method based on a multi-agent model, and the method comprises the steps: firstly sampling and generating consumer multi-dimensional feature data, and expanding the data into a semantic portrait through a large model; therefore, an intelligent agent containing a memory module is constructed, and part of the intelligent agent is set as an opinion leader. Commodity attributes, propaganda and competitive products are input into each agent, and initial evaluation is independently output; and then multiple rounds of viewpoint interaction are carried out in the same social evaluation area, the opinion leader has a higher sampled weight, and memory and comments are updated. And after simulation is finished, updating evaluation is generated again and compared with the initial evaluation, attitude changes are analyzed, all data are summarized, and a visual comprehensive report is output. According to the method, accurate simulation and feedback analysis of consumer behaviors are realized by combining a large language model and a multi-agent simulation test technology, and the defects of a traditional method in the aspects of consumer portrait dynamics, agent adaptability, interaction complexity, data dependence and the like are overcome.

The invention provides a deep tunnel excavation physical simulation test three-dimensional stress field real-time prediction method, and relates to the technical field of tunnel engineering. Comprising two stages of model construction and training and model use. In the model construction and training stage, a physical constraint reference model is constructed, and training optimization is completed; and in the model use stage, real-time prediction of a stress field of a deep engineering physical simulation test is realized through the trained and optimized model. The method has breakthrough advantages in the aspects of physical law constraint, real-time monitoring data fusion, training loss stability, boundary stress condition accuracy and the like, and is a high-reliability three-dimensional stress field prediction method oriented to a deep complex environment.

The invention discloses a satellite loop simulation test system and method, electronic equipment and a program product. The satellite loop simulation test system comprises a darkroom system used for simulating an electromagnetic propagation environment between a satellite and a terminal; the turntable system is deployed in the darkroom system and is used for controlling the terminal to move in the darkroom system according to the input terminal movement track; the communication system is used for sending a downlink test signal to the terminal and receiving an uplink test signal fed back by the terminal according to the input channel simulation file, and the uplink test signal and the downlink test signal are used for determining a test result of the satellite loop simulation test; and the timing system is used for generating a unified time reference for the turntable system and the communication system, and the turntable system and the communication system operate based on the time reference. The technical problem of how to construct a darkroom test environment in a low-orbit broadband satellite high-speed motion scene so as to verify the end-to-end communication performance of a terminal under a real-time tracking satellite is solved.

The invention provides a simulation test system simulation degree evaluation method and device, equipment, a storage medium and a product. The method comprises the steps of determining a test scene corresponding to a to-be-tested vehicle according to a design operation range of the to-be-tested vehicle; according to the test scene, determining a corresponding evaluation item, and respectively testing in the simulation test system and the actual environment to obtain simulation test data corresponding to the simulation test system and actual test data of the to-be-tested vehicle in the actual environment; based on the simulation test data, obtaining a simulation evaluation index corresponding to each evaluation item; based on the actual test data, obtaining an actual evaluation index corresponding to each evaluation item; and obtaining a simulation degree evaluation result of the simulation test system based on the simulation evaluation index and the actual evaluation index. According to the method, the simulation data and the actual data are compared according to the scene characteristics and the evaluation indexes related to the driving scene, and targeted evaluation results can be accurately obtained in different driving scenes.

The invention provides an intelligent driving simulation method and device based on big data joint training, relates to the field of intelligent driving, and solves the technical problem of performance degradation of a world model in a real scene due to distribution difference between virtual data and real data in the prior art. The method comprises the following steps: carrying out noise reduction processing on first environment data, carrying out feature analysis on the first environment data to determine an importance weight, and taking an area of which the clustering density of the importance weight meets a preset condition as a target scene; processing the first environment data based on a diffusion model to generate second environment data; using the second environment data and the target scene to construct a world model; processing the first environment data based on a visual language model to obtain dense description information of the target scene; generating a simulation scene according to the dense description information of the target scene and the world model, and performing an intelligent driving algorithm simulation test according to the generated simulation scene; the method and the device are used in an intelligent driving simulation training process.

The invention belongs to the technical field of coal field fire evolutionary analysis, and particularly provides a visual coal field fire evolutionary process analog simulation test device and method. The test device comprises a test bench, a physical similarity model, a fiber bragg grating temperature and stress integrated monitoring system, a multi-gas monitoring system, an image and video monitoring system and a computer analysis system. A plurality of opening frames are sequentially fixed to form test box bodies, the physical similarity model is arranged in the test box bodies, the inclination angle of the test box bodies is adjusted through an inclination angle adjusting mechanism, and the gas supply system and the ignition system are connected between the test box bodies. The fiber bragg grating temperature and stress integrated monitoring system, the multi-gas monitoring system and the image and video monitoring system are respectively in signal connection with the computer analysis system. According to the invention, visualization of coal field fire evolution processes under different conditions can be realized, and real-time monitoring of change rules of a temperature field, a seepage field and a fracture field in the coal field fire evolution processes under different conditions can be realized.

The invention belongs to the technical field of biological simulation, and discloses an anus cleaning effect evaluation method and system.The method comprises the steps that an execution assembly is controlled to wipe an anus anatomical structure with a to-be-detected sample according to a target wiping strategy, and a multi-mode sensing assembly is controlled to collect target parameters on the anus anatomical structure; obtaining target monitoring data; according to the residual dirt amount in the target monitoring data, a cleaning efficiency score is obtained through calculation, a target mechanical simulation model is called, according to the humidity permeation gradient value and the pressure value in the target monitoring data and the to-be-detected sample, a skin stimulation risk score is obtained through calculation, and the skin stimulation risk score and the cleaning efficiency score form a cleaning effect evaluation report. Simulation and prediction of the anus cleaning process are achieved, the simulation test effect and accuracy are greatly improved, and a cleaning effect evaluation report is given to illustrate the safety of the to-be-tested sample.

The invention relates to the technical field of gift packaging three-dimensional modeling, and discloses a construction method of a gift box packaging design three-dimensional model. The method comprises the following steps: collecting natural language description, a freehand sketch image and a physical material attribute parameter; analyzing a natural language to construct a design intention map, and analyzing a sketch to generate a geometric feature code; performing knowledge alignment fusion on the two to form enhanced design semantic representation; generating an initial three-dimensional design framework by using a generative design algorithm; material parameters are integrated, compatibility simulation test is carried out, parameter self-adaptive adjustment circulation is started according to a feasibility evaluation report, and component parameters are dynamically optimized; and rendering and outputting a final model. Through deep fusion of multi-modal design information and preposed dynamic optimization of physical attributes, the accuracy of design intention expression and the producibility of a three-dimensional model are improved, and automation and intelligentization of a design process are realized.

The invention discloses a carton size automatic generation method under multi-target constraint and a packaging decision-making system. The method comprises the steps of obtaining attribute information of a to-be-packaged commodity and a plurality of optimization targets; establishing a multi-objective optimization model; solving the model by adopting an evolutionary algorithm based on Pareto sorting to obtain a Pareto optimal solution set, performing multi-stage decision processing on the solution set, making a primary decision based on user preference, automatically identifying an abnormal product and starting an additional verification process, constructing a digital twin model and performing a virtual simulation test to intelligently decide a final scheme, and according to the weight of the user preference, determining the final scheme according to the weight of the user preference. The technical problems that traditional packaging design depends on artificial experience, efficiency is low, and a globally optimal solution is difficult to obtain among multiple conflict targets are solved, particularly, automatic and high-reliability verification of high-risk commodity packaging is achieved, automation and intelligentization of packaging design are achieved, and the method is suitable for large-scale popularization and application. And the decision-making quality can be improved by means of self-learning of historical data.