402 results about "Dimensional simulation" patented technology

The invention discloses a physical field reconstruction method fusing a reduced-order model and a multi-fidelity model, and belongs to the technical field of data-driven physical field reconstruction. The method comprises the following steps of: firstly, carrying out nonlinear dimension reduction on high-dimensional simulation data by utilizing a deep auto-encoder, extracting a low-dimensional feature vector, training an encoder-decoder network, and establishing bidirectional mapping between high-dimensional data and low-dimensional data; then, a mapping model from the working condition parameters to the low-dimensional features is constructed and used for predicting feature vectors under the new working condition; the prediction features are then reconstructed by a decoder into preliminary physical field data as a low fidelity trend. And finally, on the basis of the trend, in combination with sparse high-fidelity measured data, correction is carried out through a multi-fidelity fusion model, and a high-precision reconstructed physical field is obtained. According to the method, the precision and credibility of physical field prediction are effectively improved by fusing multi-source data, and the method is suitable for the fields of structural health monitoring, digital twinning and the like.

The invention provides an optical element surface type simulation method based on a physical information neural network, and relates to the technical field of element design and simulation, and the method comprises the steps: constructing a feedforward neural network; generating a deformation control equation model library; constructing a three-dimensional simulation database; forming a machine learning parameter library; training the PINN deformation simulation model in combination with a deformation control equation model library, a three-dimensional simulation database and a machine learning parameter library, and screening out a target PINN deformation simulation model meeting a preset condition; inputting the design parameters, the support structure parameters and the given external load parameters of different combinations into the target PINN model to obtain a key performance prediction result of the optical element; according to the method, the key performance of the element under various parameter combinations can be rapidly evaluated, the design iteration period is shortened, the trial and error cost is reduced, direct data support is provided for supporting structure optimization design, and the bottleneck problem that a traditional method restricts the research and development efficiency of a high-precision optical system is effectively solved.

The invention provides an aero-engine complete machine full-three-dimensional performance simulation error transmission and control method, and relates to the technical field of aero-engine performance simulation, and the method comprises the following steps: decomposing an aero-engine into a plurality of core parts along an airflow direction, and building a pneumatic and thermal coupling simulation model between the parts; identifying and quantifying a simulation error source of each part, and defining a simulation error value of each part; constructing a whole machine error transfer network, wherein the whole machine error transfer network comprises a sensitivity weight and a coupling transfer coefficient; based on the sensitivity weight and the coupling transfer coefficient, calculating a whole machine accumulated error; in the whole machine full-three-dimensional simulation process, outlet airflow parameter simulation data of all the components are collected, the simulation data are compared with test data, and iteration correction is conducted on simulation models of all the components and whole machine accumulated errors according to comparison results. According to the method, the whole machine simulation precision is improved, the whole machine simulation error is finally reduced to be within 2.5%, and the engineering reliability of a simulation result is improved.

The invention discloses an urban planning design method based on a live-action three-dimensional simulation system, relates to the technical field of urban planning, and is used for solving the problem of insufficient technology fusion depth in an existing method. Firstly, an initial data set is formed by collecting multi-source city data; performing cross-modal feature extraction and alignment based on a deep learning model to generate a fusion feature vector; constructing a dynamic three-dimensional city model by using the fusion feature vector, and embedding a GIS spatial analysis module to perform preliminary layout simulation; vR interaction logic is injected into the model, user behavior feedback is simulated, and environment influence indexes are calculated; according to simulation results and index feedback optimization planning parameters, multi-technology collaborative decision making is achieved; outputting an optimization scheme and generating a visual report, and supporting real-time iterative updating; according to the method, the technology fusion depth is remarkably improved, the response delay is shortened to millisecond level, the planning precision is improved, the environmental influence evaluation deviation is reduced, and efficient and sustainable urban planning practice is realized.

The invention relates to the technical field of tourism big data, in particular to a multi-modal tourism route personalized generation method and system based on deep learning, and the method comprises the steps: constructing and incrementally updating a tourism knowledge hypergraph, extracting hidden time sequence preference and cross-entity cooperation signals of a user through a space-time perception graph neural network, and generating an interest drift model; performing deep fusion and intention analysis on the interest drift model and a context signal sensed in real time, and decoding to generate a candidate route concept skeleton by introducing an attention competition mechanism; and carrying out multi-dimensional simulation deduction and adaptability evaluation on the candidate route concept skeleton, carrying out iterative optimization through a reinforcement learning strategy based on deduction feedback, and finally outputting a personalized tourist route with optimal robustness, so that the robust tourist route which is highly personalized and adapts to environmental changes can be generated, and the robustness of the tourist route is improved. Therefore, recommendation accuracy and user experience are improved.

The invention relates to the technical field of digital twinning, in particular to a high-performance digital twinning system rendering method based on dual-grid and neural network mapping, and the method comprises the steps: constructing a high-precision calculation grid and a low-precision rendering grid, and building a space mapping relation between the two grids; executing multi-working-condition numerical simulation to obtain a high-dimensional simulation result snapshot matrix; the dimension reduction projection operator is used for reducing the dimension of a high-dimensional simulation result of any working condition into an r-dimensional feature vector; generating low-dimensional reference field data by using the space mapping relation; training the neural network until a mapping network parameter is obtained through convergence; obtaining current working condition parameters of the equipment in real time, and obtaining a current r-dimensional feature vector by using the dimensionality reduction projection operator; and quickly generating physical field prediction distribution on the low-precision rendering grid and performing pseudo-color rendering. According to the scheme, the problem that a traditional method is low in rendering efficiency is solved, and the method has the advantages of reducing computing resource consumption and keeping visualization precision.

The invention relates to the technical field of three-dimensional simulation, in particular to a tunnel blasting whole process three-dimensional dynamic simulation method and system. The method comprises the following steps: obtaining a tunnel three-dimensional design mathematical model; identifying a tunnel high-risk geometric region in the tunnel three-dimensional design mathematical model; constructing a space blasting constraint field covering the blasting rock mass based on the high-risk geometric region of the tunnel, and reversely planning an ideal blasting drilling path; deducing a blasting energy sequence according to the ideal blasting drilling path, executing rock mass damage dynamic blasting simulation by taking the blasting energy sequence as a boundary condition, and evaluating drilling layout correction parameters for correcting the undercut risk; and applying the drilling layout correction parameters to a preset tunnel blasting scheme to obtain an optimized tunnel blasting scheme. By constructing the space blasting constraint field, accurate dynamic simulation of the blasting process of the non-circular tunnel is achieved, and the problem of misalignment of over-break and under-break prediction of the key position of the complex section is solved.

The invention relates to the technical field of electromagnetic compatibility, in particular to a new energy automobile electronic part EMC (Electro Magnetic Compatibility) multi-dimensional simulation verification method, which comprises the following steps of: based on a geometric structure and material attributes of a new energy automobile electronic part, identifying an abnormal field intensity region, extracting a signal path and an electromagnetic wave incident direction, and analyzing an overlapping relationship between the signal path and the electromagnetic wave incident direction; according to the method, the electromagnetic field distribution and the interference source of the parts are accurately modeled and analyzed, the shielding and filtering design is optimized, the electromagnetic compatibility is improved, the interference coupling point is identified, the shielding effectiveness and the filtering effect are evaluated, the optimization policy is identified, the electromagnetic field distribution after optimization is analyzed, the fluctuation data of the external electromagnetic field is captured, and the influence evaluation list of the external electromagnetic field is generated. The reliability of the design under actual working conditions is ensured, electromagnetic interference is prevented, stable work of parts in a variable electromagnetic environment is ensured, the electromagnetic compatibility of the whole automobile is improved, the influence of electromagnetic interference on the functions of the new energy automobile is reduced, the design effect is optimized, and the performance and safety are improved.

The invention discloses an intelligent self-healing operation and maintenance method and system for a power communication network based on digital twinning, and relates to the technical field of power communication. The method comprises the following steps: constructing an electric power communication twinborn space on a three-dimensional simulation platform based on a digital twinborn technology; predicting a communication fault risk coefficient of each sub-region in a future time period in combination with historical operation data; dynamically correcting the monitoring depth according to the risk coefficient and formulating a differential monitoring mechanism; and data monitoring is carried out according to a set mechanism in a target time period, and fault sensing, positioning and self-healing repair are completed in a twin space. According to the method, virtual mapping of a physical network is realized through a digital twinning technology, a mode of combining intelligent prediction and dynamic monitoring is adopted, an operation and maintenance mode is converted into active prevention from passive response, the utilization efficiency of operation and maintenance resources is effectively improved, and the intelligent operation and maintenance level and the system reliability of a power communication network are enhanced.

The invention provides a three-dimensional simulation point cloud generation method, system and device and a storage medium, and relates to the technical field of three-dimensional perception detection, and the method comprises the steps: building a three-dimensional scene model of a target object, and loading three-dimensional vertex data; acquiring laser radar simulation parameters to generate an angle sequence emitted by each laser beam, and rendering each angle direction of the angle sequence into coordinates of pixel points of the three-dimensional scene model according to a preset pixel and angle mapping rule; calculating the three-dimensional scene model according to the angle sequence and the three-dimensional vertex data to obtain a pixel point depth value; performing projection matrix inverse operation on the depth value to obtain an actual distance from the starting point of each laser beam to the surface of the three-dimensional scene model; calculating a point cloud three-dimensional coordinate according to the actual distance and each angle direction; and generating point cloud data. In this way, laser radar simulation and graphic rendering are fused, laser radar scanning is converted into pixel-level calculation, point cloud tracking rays one by one is replaced, the simulation calculation order of magnitude is improved, and consumed time is shortened.

The invention provides an auxiliary tooth separation method and system for minimally invasive tooth extraction, and relates to the technical field of digital surgery in stomatology. According to the method, the oral anatomy three-dimensional electronic model is obtained by performing deep learning segmentation and three-dimensional reconstruction on the preoperative CBCT image, and the real-time spatial position and posture of the jaw bone are updated in combination with laser oral scanning of the preoperative anterior tooth area. On the basis, a three-dimensional simulation model is constructed, tooth division cutting path planning, interference judgment and dislocation space analysis are completed, precise tooth division cutting is implemented by a three-way mechanical arm along the planned path, and the safe and controllable automatic tooth extraction and tooth division process is completed in cooperation with water cooling and real-time track correction.

A crystal pulling method and system for fabricating a large-diameter silicon single crystal, and a silicon single crystal and a medium. The method can comprise: performing global two-dimensional simulation on a crystal pulling process, and acquiring a global temperature distribution, a velocity field distribution and an initial solid-liquid interface value during the crystal pulling process under a preset crystal pulling apparatus and a preset crystal pulling parameter; on the basis of the global temperature distribution and the velocity field distribution, determining a boundary condition, and on the basis of the boundary condition, performing local three-dimensional simulation on the crystal pulling process to determine a target solid-liquid interface value; adjusting the preset crystal pulling parameter until the initial solid-liquid interface value is equal to the target solid-liquid interface value within a threshold range, and using the adjusted preset crystal pulling parameter as a reference crystal pulling parameter; on the basis of the reference crystal pulling parameter, simulating and calculating a simulated defect during the crystal pulling process; on the basis of the simulated defect, iteratively optimizing the reference crystal pulling parameter until the simulated defect meets a preset condition, and using the optimized reference crystal pulling parameter as a target crystal pulling parameter; and fabricating a defect-free silicon single crystal.

The invention discloses a rapid three-dimensional electromagnetic simulation method and verification device for a large-scale uninsulated coil, and aims to solve the problems of large calculation load, difficulty in homogenization, poor field-circuit coupling convergence and low result precision of the three-dimensional simulation of the existing large-scale uninsulated coil. The simulation method comprises the following steps: establishing a homogenized coil which does not divide specific turns, and setting anisotropic resistivity; constructing a current source area intercepted on the coil body and a free turn-to-turn resistance area connected in parallel with the current source area; applying current source excitation according to an open loop / closed loop coil; and the precision is ensured through radial grid encryption and result convergence verification. The verification device comprises a three-dimensional multi-turn verification coil, a direct current source, a multi-direction alternating external field applying module and a voltage and magnetic field measuring unit, direct current is supplied, an alternating external field is applied, and the simulation accuracy is measured and verified in real time. The method is simplified in modeling, rapid in calculation, good in convergence and high in precision, adapts to open-loop / closed-loop and single-cake / multi-cake coils, and is suitable for large uninsulated superconducting coils in rotary and linear motors, nuclear fusion equipment and the like.

The invention discloses an aero-engine complete machine three-dimensional simulation debugging method and device and a storage medium, and belongs to the field of aero-engine aerodynamic thermal simulation. The core of the method is to systematically solve the problem of simulation convergence through a two-stage strategy of component gradient pre-convergence and complete machine dynamic adaptive coupling. And at the component level, steady pre-convergence of the flow field is realized through progressive physical loading and stability control aiming at a gas compressor, a combustion chamber and a turbine. At the complete machine level, dynamic calculation parameter adjustment and flow field stability control based on flow field real-time stability are adopted, and it is ensured that the coupling process is rapid and stable. According to the invention, geometric grid standardization, post-processing verification, variable working condition debugging and real-time monitoring abnormity processing functions are expanded. According to the method, the convergence efficiency, the success rate and the result credibility of simulation are remarkably improved, the calculation interruption rate can be reduced by more than 75%, and the method is suitable for engineering design and optimization of aero-engines.

The invention belongs to the technical field of nuclear power plant power distribution system simulation, and aims to solve the problems of poor two-dimensional modeling intuition, low manual modeling efficiency, large error, single fault simulation dimension, insufficient visualization, difficulty in multi-source data integration, weak virtual-real linkage and the like in traditional DCS power distribution system simulation. The invention discloses a DCS power distribution system simulation system and method based on a virtual three-dimensional simulation technology. The system comprises a data layer, a logic layer and an application layer. According to the method, DCS power distribution system simulation is realized. According to the application, high-precision three-dimensional simulation, efficient fault simulation and visual display of the DCS power distribution system of the nuclear power plant are realized, and the operation and maintenance efficiency, the training effect and the fault handling accuracy are improved.

The invention relates to the technical field of motor testing devices, and provides a propeller motor load characteristic simulation testing device, which comprises a bracket (10), a turntable (20), a plurality of electromagnets, a load motor (50) and a detector (40), the turntable (20) is arranged in the bracket (10), and the propeller motor (100) can drive the turntable (20) to rotate; the electromagnets are used for providing radial force load, axial force load and unbalanced bending moment load for the output shaft; the load motor (50) is used for applying torque to the output shaft; the detector (40) is used for detecting the radial force load, the axial force load, the unbalanced bending moment load and the torque of the output shaft. The propeller motor load characteristic simulation test device can simultaneously, independently or compositely test the radial force load, the axial force load, the unbalanced bending moment load and the torque of the output shaft of the propeller motor (100), and multi-dimensional simulation of the load of the propeller motor is realized.

A water quality simulation method for plant-network-river integrated water supply, comprising steps such as river channel water source simulation, dynamic analysis of the quality of water from a water sampling point, construction of a model for predicting the quality of water in a water supply pipe network, data interface development, one-dimensional simulation of hydrodynamics and water quality in a pipe network, and integrated model integration and automation. In the method, open-source software OpenFOAM and EPANET-MSX can be used to achieve continuous simulation and real-time update of water quality and hydrodynamic parameters from a river channel to a water supply pipe network by means of an automated script and data interface. The model integrates the treatment effects of water quality purification plants, and the water quality purification plants are simplified into processing nodes on a pipeline system, thereby ensuring the authenticity and accuracy of simulation results. The present method is easy to operate and implement, and allows for automatic generation of a water quality parameter time-series plot, thereby greatly improving simulation efficiency. Water supply enterprises and water conservancy departments can use the method to establish a water supply quality information management system, perform long-time series prediction, optimize daily management and maintenance, and formulate water quality safety guarantee measures, and the method has significant practical value and wide application prospects.

The invention relates to the technical field of public safety personnel evacuation, discloses a public emergency emotional infection simulation method, and aims to solve the problems that an existing emotional infection simulation model does not fully consider a group emotional propagation theoretical mechanism and the influence of personality characteristics of an intelligent agent and is insufficient in simulation precision and authenticity. The method is based on an improved SIRS (Susceptable-Infected-Recovery-Susceptable) model and an OCEAN large five-personality model, and is realized through the following six core steps: 1) constructing a three-dimensional simulation model of a public place; 2) initializing personality characteristics, emotional states and behavior states of the agents; 3) calculating an emotion propagation process (including a propagation range, an influence value, a distance weight and emotion conflict processing) between the intelligent agents; the method comprises the steps of (1) acquiring the emotion of the intelligent agent, (2) calculating the emotion attenuation of the intelligent agent, (3) determining the evacuation speed and completing analogue simulation, (4) realizing the behavior logic of the intelligent agent in different emotion states, (5) calculating the emotion attenuation of the intelligent agent, and (6) determining the evacuation speed and completing analogue simulation. The method can accurately restore the emotion infection and evacuation behaviors of the crowd in an emergency scene, improves the simulation authenticity and lightweight level, and provides decision support for emergency evacuation scheme making and emergency management.

The invention provides a railway Beidou satellite signal simulation method and system based on artificial intelligence. The method comprises the steps of obtaining geographic data corresponding to a railway simulation line and ephemeris data corresponding to simulation time; through statistical analysis of geographic data, geographic features such as geometric features, terrain categories, geotechnical engineering parameters, geologic structure parameters, stratigraphic structure parameters and ground feature distribution features of the terrain are obtained; input of a pre-trained artificial intelligence model is obtained based on the geographic features and ephemeris data, so that multi-dimensional analog signal parameters are obtained; and performing navigation message filling by using the ephemeris data to generate a navigation message, and generating a Beidou satellite simulation signal based on the navigation message and the multi-dimensional simulation signal parameters. According to the invention, efficient, accurate and intelligent analog signals can be generated.

The invention relates to the technical field of fire risk assessment, in particular to a fire risk assessment method and device for an energy storage power station, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining the structure information and equipment information of the energy storage power station, and constructing a three-dimensional simulation model; a three-dimensional simulation model is used for conducting simulation analysis through multiple physical fields, and disaster diffusion trends under various emergencies are obtained; the method comprises the following steps: simulating an emergency response plan in a multi-physics field simulation process based on disaster diffusion trends under various emergencies, fire-fighting equipment deployed by an energy storage power station and the corresponding emergency response plan, and performing fire-fighting risk assessment on a simulation result to obtain an assessment result. Modeling is carried out by utilizing physical characteristics and fire dynamics, so that the fire extinguishing design efficiency and accuracy are improved, the design cost and time investment are remarkably reduced, and a powerful guarantee is provided for the fire safety of the energy storage power station.

The invention relates to the field of aero-engine complete machine full-three-dimensional numerical simulation, and discloses an aero-engine complete machine full-three-dimensional simulation initial field presetting method and system, and the method comprises the steps: obtaining initial flow field boundaries of different parts from the zero-dimensional level of a complete machine by solving inlet section parameters and outlet section parameters of each part; then obtaining an initial field of each blade row in a turbine part, which has the most critical influence on the convergence of an engine, through a quasi-three-dimensional layer S2, and realizing initial field decomposition from the part to the part; and finally, by adopting a radial basis function interpolation method, mapping the zero-dimensional data and the S2 quasi-three-dimensional parameters to each grid unit of the complete machine full-three-dimensional model of the aero-engine, and then smoothly splicing the initialized flow fields of all the components at the interface to form a continuous complete machine three-dimensional simulation initial field under the examination working condition. The convergence of a whole machine simulation example, the simulation convergence speed and the numerical stability are greatly improved, the simulation trial and error iteration is reduced, the pretreatment time consumption is reduced, and the simulation speed and efficiency are improved.

The invention relates to the technical field of aero-engine modeling, in particular to a multidisciplinary coupling-based aero-engine adaptive correction method, which comprises the following steps of: constructing a component-level model of an aero-engine; carrying out segmentation characteristic correction; carrying out physical property correction; and carrying out variable-dimension simulation to obtain a finally corrected target part-level model. According to the method, the problems that a zero-dimensional performance simulation model cannot represent the radial distribution of the temperature of the flow channel, part characteristic distortion is caused, and the model precision is poor due to structure and flow characteristic parameter distortion in transition state simulation are effectively solved; the working condition range of the aero-engine is remarkably widened, especially the simulation precision and engineering applicability of the low working condition and the transition state are improved, and a reliable model basis is provided for high-precision fault diagnosis and optimization control.

The invention discloses a simulation driving control method and system for cleaning equipment, and belongs to the technical field of equipment control. The method comprises the steps that sensor arrays are arranged at the water inlet end, the middle bending position and the water outlet end of the cleaning equipment respectively; a three-dimensional detection network is constructed to obtain spatial distribution data of the hollow target equipment to be cleaned in real time and transmit the spatial distribution data to the PLC; the PLC controller generates a stain load three-dimensional simulation map through fusion algorithm processing, calls a neural network model matching feature database to identify main stain types, and then performs linkage execution control; in the cleaning process, the cleanliness degree is judged according to the turbidity and pollutant content detected by a sensor at the water outlet end, and cleaning liquid is controlled to be recycled to a circulating water tank or discharged into a waste liquid tank; intelligent control over the cleaning process is achieved, the cleaning efficiency and cleanliness are improved, and cleaning fluid consumption is reduced.

The invention discloses a high-rise structure three-dimensional simulation analysis method and system based on finite element analysis, and relates to the technical field of three-dimensional finite element models. The method comprises the following steps: acquiring a current finite element mesh model of a high-rise structure; the current finite element mesh model comprises a plurality of structural layers, and the structural layers comprise at least one type of structure; determining a coupling region of the high-level structure based on each type of structure included in each structure layer; the coupling region is a region formed by various types of connectable high-coupling-degree structures; determining a grid density demand value of each structural layer in the high-rise structure based on a current finite element grid model, a historical finite element grid model and the coupling region of the high-rise structure; and based on the grid density demand value of each structural layer in the high-rise structure, updating the current finite element grid model to obtain an updated finite element grid model. According to the method, the accuracy of a high-rise structure three-dimensional simulation result can be improved.

An intelligent calculation method for indoor energy consumption of a Mongolian yurt building under a zero-carbon condition, comprising the following steps: constructing a database of a monitored Mongolian yurt building; performing three-dimensional simulation modeling on said Mongolian yurt building and acquiring micro-environment sample parameters of said Mongolian yurt building; constructing an intelligent training database of the indoor energy consumption of said Mongolian yurt building; intelligently calculating the indoor energy consumption of said Mongolian yurt building; constructing and automatically adjusting intelligent grids for the indoor energy consumption of said Mongolian yurt building; and visually displaying the indoor energy consumption of said Mongolian yurt building. The present invention has the advantages that: the three-dimensional simulation model of the Mongolian yurt building and the surrounding environment of the Mongolian yurt building is constructed, so that the high-precision and high-accuracy micro-environment parameters of the Mongolian yurt building are acquired, and the accuracy of energy consumption calculation of the building is improved; the intelligent training database of the indoor energy consumption of the Mongolian yurt building is constructed, so that the reliability of a calculation result is improved; an intelligent calculation model for the indoor energy consumption of the Mongolian yurt building is constructed, and a convolutional neural network algorithm is used, so that the accuracy of indoor energy consumption calculation of the Mongolian yurt building is improved.

Disclosed in the present invention is a cloud-edge collaborative digital twin-based state monitoring method for idler bearings of a belt conveyor. The method comprises: acquiring operation data of an idler bearing of an underground belt conveyor; transmitting the operation data to an edge device and a cloud-based central server; constructing a geometric model and a three-dimensional simulation model in the cloud-based central server, constructing a fault diagnosis model on the edge device, and using the geometric model, the three-dimensional simulation model and the fault diagnosis model to form a digital twin; and on the basis of measured data, updating the three-dimensional simulation model in the digital twin in real time, using incremental learning to update the fault diagnosis model in the digital twin in real time, and using the fault diagnosis model to determine an operation state of the idler bearing of the belt conveyor. In the present invention, computing resources are allocated on the basis of a cloud-edge collaborative algorithm to realize the rapid computation of a digital twin, thereby improving the virtual-physical interaction capability of the digital twin, and ultimately realizing the digital twin-based state monitoring, early-warning and visual analysis of idler bearings of a belt conveyor.

The invention discloses a rock-fill concrete three-dimensional simulation system based on digital twinborn and discrete elements, relates to the technical field of digital simulation processing, and solves the problems that an existing three-dimensional simulation method neglects the real form and contact relation of a rock-fill framework, cannot describe the real microstructure of rock-fill concrete, and cannot describe the real microstructure of rock-fill concrete. And the deviation between the simulation prediction result and the real mechanical behavior is too large. The three-dimensional simulation system comprises an acquisition processing module, a twin construction module, a discrete control module, a contact calibration module, a simulation interaction module and an evaluation decision module. The method comprises the following steps: constructing a digital model of a rock-fill skeleton by combining a real form and a contact relationship of the rock-fill skeleton through a digital twinning technology and a discrete element simulation principle, and tracking and calculating a moving state of particles in a rock-fill concrete numerical model according to a Newton's law of motion and alternate iteration of interaction among the particles; therefore, the real microstructure of the rock-fill concrete is visually described, and the degree of deviation between a simulation prediction result and a real mechanical behavior is reduced.

The invention discloses an intelligent simulation analysis method and system for standing wave characteristics and safety performance of an automobile tire, and relates to the technical field of intelligent simulation analysis and automobile safety. The intelligent simulation analysis method and system for the standing wave characteristic and the safety performance of the automobile tire comprises the following steps that S1, multi-dimensional simulation driving data are obtained and preprocessed; s2, reconstructing a tire structure response based on the preprocessed multi-dimensional simulation driving data, and measuring the intense degree of the structure response; s3, simulating tire temperature change in combination with a temperature rise simulation process, and judging whether temperature rise abnormity exists in the local area or not; and S4, carrying out space overlapping comparison on the structure response abnormity and temperature rise abnormity areas, and identifying a space overlapping state. The problems that a tire local high-temperature area and a standing wave high-response area are overlapped to cause structural instability easily, recognition is difficult to achieve in advance in the prior art, the monitoring mode is based on the overall trend, and a recognition and early warning mechanism for the local overlapping situation is lacked, so that the tire burst risk is difficult to perceive in time are solved.

The invention provides a method and a device for constructing a three-dimensional simulation scene driven by multi-modal data, and relates to the technical field of computer vision. Comprising the following steps: acquiring and preprocessing multi-modal data so as to encode the multi-modal data into a joint embedded vector; generating a scene layout image according to the joint embedded vector and a condition image generation model, and segmenting the scene layout image according to a semantic segmentation expert model and a soft voting mechanism to determine a semantic segmentation result; performing boundary extraction on the semantic segmentation result to determine a standardized scene semantic graph; selecting an alternative digital asset set based on a category label corresponding to the semantic segmentation result and a simulation engine digital asset library; inputting the scene layout image into a scale estimation model to output a scene map scale; and generating a three-dimensional simulation scene according to the standardized scene semantic graph, the alternative digital asset set, the scene map scale and a two-dimensional layout algorithm. According to the invention, the scene synthesis effect from the multi-modal intention to the landing simulation scene is improved.

The invention provides an III-V group and silicon-based waveguide bonding coupling structure design method and a laser. The method comprises the following steps: determining initial geometric parameters of a coupling region of an III-V group laser and a silicon-based waveguide; determining a maximum process alignment deviation range based on process historical data; establishing a three-dimensional simulation model on the basis of the initial geometric parameters, and performing offset correction on the position of the silicon-based waveguide in the bonding plane according to the maximum process alignment deviation range in a simulation environment; calculating the coupling efficiency after offset correction, and when the reduction of the coupling efficiency exceeds a preset threshold value, carrying out iterative optimization adjustment on the width of the silicon-based waveguide and the length of the transition region; the method comprises the steps that the silicon-based waveguide structure with the optimal coupling efficiency is finely adjusted again according to the maximum process deviation, offset correction and optimization adjustment are repeatedly executed till the coupling efficiency meets the design requirement under all the preset process deviation conditions, and coupling structure design parameters are output. Therefore, the design of the coupling region with robustness to process deviation is obtained.