757 results about "Simulation software" patented technology

The invention discloses an intelligent optimization method for a multi-type well seam joint control fine injection-production mode, and relates to the technical field of oil-gas field development. The method comprises the following steps: setting a well seam joint control fine injection-production mode, establishing an oil reservoir numerical simulation model in oil reservoir numerical simulation software, obtaining multiple groups of oil reservoir injection-production schemes based on a Latin hypercube sampling method, performing simulation according to each group of oil reservoir injection-production schemes by utilizing the oil reservoir numerical simulation model, generating multiple pieces of sample data, and establishing a sample database; a deep learning agent model is established, after the sample database is utilized to train and train the deep learning agent model, a particle swarm optimization algorithm is adopted to carry out single-target pre-search global optimization to obtain a preferred reference strategy, a reinforcement learning dynamic decision model is established, and a reinforcement learning agent is obtained through training based on a PPO near-end strategy optimization algorithm; and the optimal injection-production development scheme of the oil reservoir is obtained by utilizing the reinforcement learning agent, so that rapid optimization and decision support of the oil reservoir injection-production scheme in a new multi-type well seam joint control mode are realized.

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-high voltage switch cabinet internal humidity inversion calculation method based on simulation analysis, which comprises the following steps: establishing a geometric model of a switch cabinet, importing the geometric model into finite element simulation software to obtain a simulation analysis model, adding each physical field and computational domain and boundary conditions thereof, and calculating the internal humidity of a medium-high voltage switch cabinet. All the physical fields are coupled, and mesh generation is carried out; performing numerical solution on the simulation analysis model by using a transient solver to obtain a temperature and humidity distribution condition in the switch cabinet; the simulation analysis model is optimized, a simulation data set is constructed, and a PINN is trained; based on the environment temperature and humidity and the operation current collected in the actual operation of the switch cabinet, the trained PINN is used for prediction, and the steady-state relative humidity of the current transformer is obtained. According to the invention, based on the limited boundary monitoring data, efficient and accurate reconstruction of the humidity field of the key area in the switch cabinet is realized, and a feasible path is provided for equipment state sensing and condensation risk early warning.

The present invention relates to the technical field of steel metallurgy process simulation, and specifically relates to a simulation method for particle motion and interaction behavior within a continuous casting mold. The simulation method comprises the following steps: acquiring mold parameters and establishing a model; performing fluid domain volume extraction and structured mesh division on the model; importing the mesh model into simulation software and performing iterative solution; establishing injection points for argon bubbles and inclusions within the mold, compiling and calculating the flotation removal of argon bubbles and inclusions at a steel-slag interface, the capture thereof at a solidification front, and collision-aggregation, and performing coupled computation; and post-processing the simulation results to obtain the flow field, temperature field, solidified-shell distribution, and discrete-phase motion behavior within the mold at different time points. The method of the present invention enables analysis of the motion and interactions of discrete-phase particles such as argon bubbles and inclusions within the mold, thereby accurately predicting the distribution of the particles in the molten steel and the solidified shell.

The invention relates to an iron tower foundation safety analysis method considering the dry-wet cycle effect. The method comprises the following steps that 1, a soil body strength degradation constitutive model is established; 2, determining iron tower foundation structure parameters and soil body parameters; 3, establishing an iron tower foundation-soil body three-dimensional geometric model by utilizing three-dimensional modeling software and rock-soil finite element simulation software; 4, applying a load transmitted to the iron tower foundation by the power transmission iron tower in the iron tower foundation-soil body three-dimensional geometric model, defining initial parameters, and establishing a rainwater seepage and dry-wet cycle coupling effect analysis model; 5, analyzing and predicting the cycle index when the safety coefficient of the iron tower foundation is reduced to a threshold value from the two aspects of tower foundation ultimate bearing performance and iron tower foundation-soil body interaction on the basis of a rainwater seepage and dry-wet cycle coupling effect analysis model; according to the method, an efficient and accurate numerical analysis means can be provided for safety assessment of the power transmission tower foundation in the collapsible loess area.

The invention discloses an expressway reconstruction and extension traffic diversion method, system and device and a medium, and the method comprises the steps: obtaining multi-source dynamic traffic data, and constructing a road network origin-destination matrix through data fusion and demand deduction; a traffic flow distribution result is obtained by constructing a system optimal traffic distribution model; identifying the first congestion time period, and calculating the traffic flow exceeding the residual traffic capacity in the congestion time period to obtain the traffic flow to be shunted; solving an optimal shunting path under the target of minimizing the total travel time of the system through a hybrid intelligent algorithm to obtain an optimal shunting path scheme; and verifying the optimal shunting path scheme by using microscopic traffic simulation software, updating traffic data based on a simulation result, and carrying out iterative optimization to obtain a differentiated traffic organization scheme. According to the invention, the traffic flow passing efficiency during the highway reconstruction and extension period is effectively improved.

The invention relates to a traffic simulation agent system construction method based on a large model, and the method comprises the steps: constructing a simulation tool library, and achieving the precise evaluation and continuous optimization of a simulation result through the fusion of multi-source heterogeneous traffic data, the construction of standardized input, and the establishment of a quantitative evaluation system. A large language model is utilized to understand a natural language instruction of a user, tasks are intelligently disassembled, an execution process is planned, dependence management and parallel scheduling are carried out in combination with a directed acyclic graph, and professional tools are driven to automatically execute. And performing evaluation, problem diagnosis and adaptive re-planning on an execution result through a large language model reflection mechanism to form an understanding-planning-execution-reflection closed loop. According to the method, the problems of how to assist a user to interact with a traffic system by utilizing an agent technology driven by a large language model, reducing the technical threshold of traffic simulation software use and saving time cost and labor cost are solved, the traffic simulation use threshold is reduced, the automation and intelligence level is improved, and efficient and accurate traffic system interaction and optimization are realized.

The invention discloses a data center dynamic air-conditioning load rapid calculation method, which comprises the following steps of: 1, summarizing data center cold load influence factors as an input condition of a calculation model; 2, constructing a standardized data center reference model based on building energy consumption simulation software; 3, based on the building geometrical characteristics and thermal performance of the target data center, correcting the enclosing structure load of the reference model by adopting an area correction method, and constructing an enclosing structure load rapid calculation model; 4, automatically resetting an internal heat source load calculation result, and constructing an internal heat source load rapid calculation model; 5, correcting the fresh air load of the reference model by adopting a volume correction method based on the geometric characteristics of the target data center building, and constructing a fresh air load rapid calculation model; and step 6, forming a target data center dynamic air-conditioning load rapid calculation method, and obtaining a hourly cooling load prediction result required for covering the whole year or a design stage.

The invention belongs to the technical field of semiconductor device simulation, and particularly relates to a method for rapidly calibrating BDTI surface potential and a related device. The method comprises the following steps: establishing a CIS BDTI device structure through simulation software; introducing silicon data, and calibrating an ion distribution curve in the device structure by taking a true value of SIMS concentration as a reference to obtain a device simulation model for concentration distribution calibration; replacing a surface high dielectric constant layer of the device simulation model for concentration distribution calibration with an electrode layer; and introducing the actually measured potential of the high dielectric constant layer of the device into the electrode layer to complete the surface potential calibration of the device. According to the invention, the surface high dielectric constant layer is directly replaced by the electrode layer, so that the potential of the surface high dielectric constant layer can be directly set as the potential of the actually measured high dielectric constant layer, the process of collecting, continuously increasing and adjusting positive and negative charges for many times and continuously adjusting the potential value of a High K material is avoided, and the calibration process is remarkably shortened.

The invention discloses an intelligent denoising and enhancing method and system for ground penetrating radar signals, and relates to the technical field of ground penetrating radar data processing.The method comprises the following steps that forward modeling software is used for generating a synthetic radar profile, analog noise is added to the radar profile, a noisy profile is generated, and a training data set is constructed; a DRSN-ATT-UNET network model is constructed and trained, the network model takes U-Net as a basic framework, a deep residual shrinkage module is integrated in an encoder, and an attention gating module is integrated in jump connection; actual ground penetrating radar profile data to be processed are loaded, and standardized preprocessing is carried out; inputting the preprocessed profile data into the trained network model, and outputting a de-noised and enhanced radar profile; and carrying out anti-standardization post-processing on the model output, and outputting a radar image with a high signal-to-noise ratio. According to the method, the ground penetrating radar noise in complex environments such as mines can be effectively suppressed, the data quality is remarkably improved, and a reliable basis is provided for accurate geological interpretation.

The invention provides a terahertz tunable polarization converter and a design method thereof. The polarization converter is composed of three layers of metasurface structures. A Fabry-Perot cavity is formed through an orthogonal grating, horizontal polarization destructive interference and cross polarization constructive interference are achieved through polarization selectivity, and therefore the cross polarization average conversion efficiency up to 95% or above is achieved. Meanwhile, the working frequency of the device can be effectively adjusted by adjusting the interlayer spacing. The design method comprises the specific implementation steps that the initial structure size and the material attribute of the three-layer metasurface are set; setting an objective function representing the performance of the terahertz polarization converter, and importing the initial structure of the polarization converter into electromagnetic field simulation software for simulation to obtain an objective function value of the initial structure of the polarization converter; and performing iterative optimization on the three-layer metasurface initial structure by using a multi-target particle swarm optimization algorithm until the optimized structure meets the target requirement, and obtaining the optimal design parameters of the metasurface structure.

The present invention relates to the technical field of electrodeposition, and relates to a simulation method for flow field distribution and deposition morphology in ultrafast laser-assisted electrochemical deposition. The steps of the method comprise: constructing, in multiphysics simulation software, a two-dimensional axisymmetric multiphysics coupled field model for heat transfer, solid and fluid heat transfer, tertiary current distribution, and laminar flow; constructing a geometric model of a deposition cell and a substrate, and setting laser properties, material physical parameters, and electrodeposition properties in the multiphysics simulation software; constructing an ultrafast laser heat transfer model on the basis of a two-temperature equation; setting initial and boundary conditions of the ultrafast laser heat transfer model, and constructing an electrodeposition field; coupling the ultrafast laser heat transfer model with the electrodeposition field to construct an ultrafast laser-assisted electrochemical deposition model; delineating a grid; and performing calculation and analysis. In the present invention, ultrafast laser is incorporated to perform multiphysics coupling of a thermal field, a flow field, an electric field, etc., and a two-temperature equation and tertiary current distribution are incorporated to the model, thereby achieving the accuracy and comprehensiveness of prediction models.

The invention relates to a heterogeneous human head model construction method and system oriented to multi-physics field simulation, based on real human head T1 weighted magnetic resonance image data, key tissues such as white matter, gray matter and cerebrospinal fluid are accurately segmented, and a three-dimensional geometric model used for generating carrying tissue identification information is researched and developed; converting the model data into a file format conforming to the NASTRAN standard by utilizing an independently developed format conversion program, and completely retaining organization classification information; finally, different tissue areas are automatically recognized through physical field simulation software, corresponding frequency dependent material attributes are distributed, and a finite element model capable of being directly used for simulation is formed. According to the method, seamless integration of the high-precision heterogeneous human head model and the simulation platform is achieved, tedious manual repairing and assignment operation is not needed, the method has the advantages of being high in precision, high in efficiency and good in compatibility, and the authenticity and reliability of biomedical simulation such as transcranial magnetic stimulation and radio frequency coil design can be remarkably improved.

The invention discloses a pre-phase-based one-bit beam reconfigurable metasurface antenna device, which comprises a pre-phase-based one-bit metasurface antenna unit which is designed by adopting a resonance scattering analysis method, two microstrip line paths with different lengths are switched through a single-pole double-throw switch, so that a 180-degree phase difference of a signal is obtained to realize 1-bit phase regulation and control, and the one-bit beam reconfigurable metasurface antenna device is obtained. Electromagnetic simulation software is utilized to optimize geometric parameters and output reflection electromagnetic response of the design model; the overall design of the reconfigurable antenna array panel is carried out based on the designed unit model, and the reconfigurable antenna array panel comprises a sub-panel composed of a plurality of low-cost microstrip antenna array units and a control panel connected with external feed equipment and a main panel.

The invention discloses a thermodynamic system parameter distribution method and device, and the method comprises the steps: S1, analyzing a block definition diagram and an internal block diagram from a SysML model to obtain a module structure description, a module value attribute, an interface specification of an equipment unit and a thermodynamic parameter description, and generating an analysis result, the analysis result comprises equipment unit port and connector information. And S2, based on the analysis result, mapping the equipment module to a simulation software element through name matching, and generating a steady-state thermal simulation model. And S3, associating the module value attributes with element attributes of the steady-state thermal simulation model through a parameter mapping mechanism, and generating attribute mapping data. And S4, generating a complementation parameter list according to the external design value and the heat balance demand. Therefore, the efficiency and accuracy of parameter allocation are improved, manual intervention is reduced, and it is ensured that the allocation result meets the requirements of system performance.

The invention discloses a twelve-beam six-dimensional force sensor, and relates to the technical field of force sensing. The sensor effectively solves the problem of coupling interference in six-dimensional force measurement by optimizing the structural design of the elastic body, innovating the bridging mode of the strain gauges and accurately positioning the patches, and improves the measurement precision and stability. The sensor is of a twelve-beam elastomer structure, stress distribution under different loads is analyzed through COMSOL finite element simulation software, and the position of a strain sensitive area is determined; a group bridge circuit is designed through tension and compression strain characteristics of the symmetrical strain beams, and decoupling is achieved from the hardware level; mEMS silicon strain gauges are selected and accurately assembled, so that the measurement error is further reduced. Experimental data show that the crosstalk rate of the sensor under loads of all dimensions is as low as 2%, net output signals are stable, and the sensor can be widely applied to the fields of robots, precision manufacturing, aerospace and the like with high requirements on force measurement precision.

The invention discloses a method for constructing a riveting sample tensile property evaluation model considering residual stress and application, and the method comprises the steps: firstly, constructing a riveting lap joint simulation model in a non-residual stress state based on simulation software, and verifying the model; constructing a residual stress-containing model by loading a residual stress field to the residual stress-free model; performing a simulation test on the riveting sample combined by multiple geometric dimensions to obtain a maximum value of radial residual stress and a tensile load without residual stress; and based on the obtained maximum value of the radial residual stress and the tensile load without the residual stress, fitting a riveting sample tensile property evaluation model considering the residual stress, and determining a residual stress correction coefficient in the model. The riveting sample tensile property evaluation model can be used for evaluating the tensile property of the riveting sample.

The invention discloses an ice rink re-paving ice layer thickness prediction method, system and equipment based on digital twinning, and relates to the technical field of ice rink ice surface thickness. The method comprises the following steps: step 1, constructing a digital twinborn model of the re-paved ice surface of the ice pouring vehicle through COMSOL numerical simulation software, and mapping and fusing the digital twinborn model of the re-paved ice surface of the ice pouring vehicle and real-time environmental data to generate a dynamic digital twinborn body; 2, real-time operation parameters of the ice pouring vehicle are input into the dynamic digital twin body, operation is simulated, and the simulated icing thickness is output; and 3, inputting the simulated icing thickness, the real-time operation parameters of the ice pouring vehicle and the real-time environment data into the trained machine learning model to obtain the thickness of the re-laid ice layer. According to the method, the icing thickness of the re-paved ice surface of the ice pouring vehicle corresponds to the twin model through the digital twin technology, so that the re-paved ice layer thickness prediction is more accurate and comprehensive, the re-paved ice layer thickness prediction is realized, the risk of different ice layer thicknesses is reduced, the waste of water resources is avoided, and the energy consumption is saved.

The invention discloses an industrial simulation control method and system based on natural language driving, and belongs to the technical field of industrial simulation. According to an existing industrial simulation control scheme, how to transmit simulation parameters into simulation software is not disclosed, and setting of simulation instructions cannot be completed. According to the industrial simulation control method based on natural language driving, a natural language instruction input by a user is analyzed by constructing a simulation language recognition model, an interaction channel creation model and an instruction mapping model, and a simulation driving channel is established between industrial simulation software and the simulation language recognition model; standardized transmission and cross-platform data interaction of data and commands are realized, and instruction transmission and data sharing are facilitated; and further based on the instruction protocol conversion relationship, the operation command is converted to obtain the execution message, so that automatic setting of different software simulation instructions can be realized, the compatibility and integration problems among different simulation platforms are effectively solved, and the user experience is improved.

The invention relates to the technical field of instruction set conversion, and discloses an instruction set conversion method of a GPU heterogeneous environment based on simulation software. According to the method, the key instruction stream in the simulation task is accurately captured through the dynamic instrumentation method, and a solid foundation is provided for subsequent processing; the method comprises the following steps: dividing an original instruction stream into a plurality of instruction blocks to be converted through a classification mechanism according to instruction semantic features and hardware suitability, and creating conditions for parallel conversion; a lightweight front-end translator is adopted to efficiently convert classified instruction blocks into architecture-independent intermediate representations, the degree of parallelism and the data dependency relationship between instructions are reserved, the intermediate representation instructions are deeply optimized, and the method comprises the key steps of instruction selection, register allocation, instruction recombination, SIMT mapping, instruction coding and the like. And generating a native instruction of the target GPU architecture through accelerated translation of the target GPU thread block. According to the method, the instruction conversion period is shortened, and the correctness and the execution efficiency of the conversion result are improved.

The invention provides a desktop-level hardware-in-the-loop test system building method, device and equipment, and relates to the technical field of hardware-in-the-loop simulation, and the method comprises the steps: configuring a vehicle network simulation and vehicle dynamics model in an upper computer with a CAN development environment and vehicle dynamics simulation software, a real-time data channel between the two is established through a full duplex transmission protocol; a driver instruction is generated through the driving control panel, and a vehicle state signal is generated through vehicle dynamics software; the wheel speed in the vehicle state signal is converted into a physical excitation signal, and a wheel cylinder pressure signal returned by the controller is collected; the pressure signal is fed back to the vehicle dynamics model to form a closed loop, a test scene is executed, and the desktop-level hardware-in-loop test of the brake controller is completed. By using vehicle dynamics simulation software, the test confidence coefficient is improved; data exchange is carried out by utilizing an FDX protocol of a CAN development environment, and complexity and potential risks of self-development of a communication interface are avoided.

The invention relates to the technical field of simulation design, in particular to a design method and system based on a radar antenna, and the method comprises the following steps: resolving a phase error based on thermal deformation, analyzing a dynamic sidelobe variance in combination with displacement spectrum integration and covariance mapping, and generating a waveguide skeleton through electromagnetic energy mapping fluid damping; according to the method, thermally induced phase error data is introduced, the influence of structural deformation on the phase is accurately calculated, and meanwhile, calculation of dynamic group delay and group delay difference is combined, so that the phase correction accuracy is improved. Prediction of influence of structural deformation on electrical performance, data fusion of multiple physical fields and automatic process optimization are realized, design precision and efficiency are improved, limitation of single simulation software is avoided, factors such as material loss and gain evolution are accurately corrected in the design process, performance requirements of the high-frequency radar are met, and complex environment adaptability is improved.

The invention discloses a nine-axis linkage intelligent welding process optimization method based on analogue simulation and digital twinning. An existing welding process mostly depends on artificial experience and single equipment control, and an integrated processing system of simulation prediction, equipment cooperation, virtual-real linkage and iterative optimization is lacked. According to the nine-axis linkage intelligent welding process optimization method, a platform is built based on simulation software, after a three-dimensional model of a to-be-welded component is built, the three-dimensional model of the to-be-welded component is subjected to multi-physics field coupling simulation processing to obtain welding data, the welding data is input into an AI multi-target optimization algorithm to form a simulation data training model, and the simulation data training model is used for training the to-be-welded component. Screening according to the simulation data training model to obtain a processing process of an optimal welding sequence and process parameters; through deep integration of intelligent equipment integration, technological process simulation optimization and digital twin control, the problems of low efficiency, poor quality and large deformation in a traditional manufacturing mode are systematically solved.

The invention discloses a biological soft tissue crack quantitative detection method based on elastic wave dispersion characteristics, and the implementation process comprises the following steps: firstly, preparing a soft tissue sample, and applying initial stress to obtain a soft tissue sample strain geometric model and a material stress initial value; then applying low-frequency vibration to the surface of the soft tissue sample, tracking and positioning the vibration, establishing a constitutive relation model of the soft tissue and an increment form, and establishing an inversion model, thereby inverting detailed information such as crack length, angle, fracture mechanical parameters and the like from wave velocity change, and on the basis, determining the fracture velocity of the soft tissue sample. Finite element simulation software is used for conducting crack area local wave field simulation and wave scattering and fracture mechanical simulation on the platform, the accuracy and stability of an inversion result are verified, then after data marked correctly and wrongly are obtained, a reinforcement learning model is input to optimize the inversion result, and finally a crack form data set is obtained; and estimating whether the risk that the crack continues to expand exists or not.

The invention discloses a telescope installation and adjustment method, device and equipment and a medium, and relates to the technical field of optical installation and adjustment, and the method comprises the steps: obtaining an ideal wave surface diagram of a telescope to be installed and adjusted at a target field point through optical simulation software, and adding a plurality of misalignment amounts to the optical simulation software, extracting a plurality of corresponding maladjustment wavefront diagrams at the target view field point; according to the plurality of misalignment amounts and the plurality of misaligned wavefront diagrams, determining wavefront diagram sensitivities corresponding to the plurality of misalignment amounts, and combining the wavefront diagram sensitivities to obtain a wavefront diagram sensitivity matrix; an interferometer is used for collecting an actually-measured wave surface diagram of the telescope to be installed and adjusted at the target view field point, and wave surface diagram variable quantities caused by a plurality of misalignment quantities are determined through the actually-measured wave surface diagram and the ideal wave surface diagram; and based on the wave surface diagram variable quantity and the wave surface diagram sensitivity matrix, establishing a relationship between the target misalignment quantity vector and the actually measured wave surface diagram so as to determine the target misalignment quantity vector, and carrying out adjustment operation on the telescope to be adjusted according to the target misalignment quantity vector.

The invention relates to a multi-vehicle automatic driving simulation system and method supporting DORA middleware, and belongs to the technical field of automatic driving. The system comprises a simulation platform and a domain controller group. The simulation platform comprises a multi-vehicle Dora-bridge, traffic scene simulation software and vehicle dynamics simulation software, the multi-vehicle Dora-bridge receives multi-vehicle state data, sensor data and vehicle cooperative control information generated by the traffic scene simulation software, and the multi-vehicle Dora-bridge publishes the multi-vehicle state data, the sensor data and the vehicle cooperative control information in the form of a DORA topic for each domain controller to subscribe; meanwhile, control instructions issued by the domain controllers in the form of DORA topics are received and issued to the vehicle dynamics simulation software. The domain controller group comprises a plurality of domain controllers, each domain controller corresponds to one automatic driving vehicle, and software of the domain controller group consists of a plurality of DORA function nodes to realize an automatic driving function. According to the invention, an effective solution is provided for simulation of the multi-vehicle automatic driving system based on the DORA middleware, the development efficiency is improved, and the development cost is reduced.

The invention discloses an aeration device optimization method based on a digital twin sewage system. The method comprises the following steps: 1, establishing a digital twin model of an aeration device of a sewage treatment system; 2, optimizing the digital twinborn model by adopting numerical simulation software such as Fluent and the like; 3, after the system is built, actual operation parameter information is collected in the operation period; and 4, predicting the actual oxygen demand change of the sewage in combination with an AI algorithm to obtain optimized parameters of the aeration device in a new state. The device has the advantages that the dissolved oxygen in the sewage treatment process is accurately controlled, the sewage treatment effect is improved, the sewage energy consumption is reduced, the device can be widely applied to various sewage treatment plants with various sizes, and the problem that the fixed operation parameters of the formed aeration device cannot be matched with the real-time change of the actual sewage oxygen demand is solved. The treatment effect is poor, and the sewage energy consumption is huge.

The invention discloses a polycrystalline material microstructure crack evolution simulation and mechanical property prediction method and system. The method comprises the following steps: establishing a voronoi geometric model of a polycrystalline material containing grain characteristics and microstructure defect characteristics; carrying out spatial distribution modeling on the mechanical property parameters of the polycrystalline material based on a probability statistics theory; importing the voronoi geometric model of the polycrystalline material into a multi-physics field simulation software platform, establishing a complete simulation geometric model for crack prediction based on a phase field fracture theory, and performing phase field solution; setting corresponding material parameters according to the material attributes; and setting corresponding boundary conditions in simulation software to simulate a four-point bending experiment, solving a phase field fracture control equation by utilizing a finite element algorithm, capturing a change rule of a crack propagation path, and recording key mechanical data. According to the method, the polycrystalline Voronoi model is constructed, spatial distribution modeling is carried out on the mechanical parameters of the material in combination with the probability statistics theory, and the non-uniform characteristic of the actual material can be reflected more truly.

The invention discloses a software-in-the-loop simulation test system and method for intelligent driving, and relates to the technical field of automatic driving algorithm testing. According to the scheme, a closed-loop test of an in-the-loop simulation test is realized only through an intelligent driving platform, a scene simulation software end and an initialized vehicle dynamics model group; all the components realize distributed communication through a user datagram protocol without additional hardware, so that complicated external communication configuration is not needed in a closed-loop test for realizing in-loop simulation test, multi-tool collaboration is simplified, and the complexity of a system structure is reduced. And the intelligent driving platform coordinates vehicle dynamics data according to a preset algorithm to carry out path planning and decision control, so that the interaction efficiency of software in a loop simulation test process is improved. And the vehicle dynamics model group is used for sending the RDB data packet to the scene simulation software end through the public user datagram protocol channel, that is, cross-component collaboration is realized through the public user datagram protocol channel, and the synchronism of closed-loop testing is ensured.

The invention relates to the technical field of radio frequency filters, in particular to a 13GXBAR filter design method based on a lithium niobate film. The Euler angle of the lithium niobate thin film is subjected to simulation setting in finite element simulation software, admittance responses under different cutting angles are obtained, an admittance curve with a large electromechanical coupling coefficient and complete stray mode suppression is obtained, the tangential angle is used for simulating an electrode material, the interdigital logarithm, the interdigital distance, the thin film thickness and the metallization ratio, and an admittance curve with a large electromechanical coupling coefficient and complete stray mode suppression is obtained. The method comprises the following steps of: constructing a plurality of resonators, obtaining impedance of each resonator, obtaining material parameters of the corresponding resonator, constructing a three-dimensional force-electricity coupling model of the lithium niobate resonator, carrying out layout design on the physical model in finite element simulation software through a field-circuit coupling method, and coupling force-electricity-sound multi-physical fields to obtain an S parameter curve of the designed XBAR filter; and whether the S parameter result is consistent with the target is verified, so that the forward design of full-simulation driving is realized.

The invention discloses a green building full life cycle resource sharing and collaborative management method and system, and relates to the technical field of workflow management, and the method comprises the steps: receiving a collaborative design request, creating a task tree by a task management module, and determining a task progress according to the task tree; the green tool integration module calls basic modeling software based on the task progress to obtain building information model data; the green tool integration module calls performance simulation software and calculation software based on the building information model data to generate multi-type result data; the task management module performs quantitative and qualitative analysis on the multi-type achievement data to obtain an analysis result, and sends the analysis result to a green special topic review module; and the green thematic examination module generates evaluation term data and evaluation version data based on the analysis result, and integrates the evaluation term data and the evaluation version data into an evaluation report for output. The method can effectively shorten the iteration period and reduce the error rate.