331 results about "Simulation modelling" patented technology

The invention discloses a gas pipe network fault positioning method based on a space-time diagram neural network, and the method employs an edge-cloud collaborative architecture, and achieves the precise detection of leakage points through simulation data generation, multi-modal perception, dynamic space-time modeling and hierarchical positioning. Firstly, simulation modeling is conducted on a pipe network, a multi-working-condition leakage data set is generated, and monitoring point layout is optimized through fuzzy clustering; a multi-modal sensing unit and a lightweight anomaly detection module are deployed at an edge end to realize coarse-grained anomaly detection and data hierarchical transmission; the cloud constructs a dynamic space-time diagram neural network, integrates a pipe network topological structure, multi-source time sequence data and physical constraints, and realizes high-precision positioning of leakage points through a hierarchical positioning strategy; and finally, realizing online evolution of the model through elastic weight solidification and hierarchical parameter updating. According to the method, the space-time diagram neural network and the physical characteristics of the pipe network are deeply fused, and the problems that space-time coupling features are difficult to extract and physical constraints are missing in complex pipe network fault positioning are solved.

The invention relates to the technical field of cultural heritage digital protection, in particular to a super-volume historic building three-dimensional simulation modeling method based on multi-source heterogeneous data, and the method comprises the steps: firstly collecting node multi-source heterogeneous data such as laser point cloud, images, structural mechanical parameters and historical repair records, and then carrying out node feature enhancement through a node feature enhancement module; using an improved generative adversarial network to strengthen node edge features, adopting an adaptive threshold segmentation algorithm to extract surface texture features, converting mechanics and size data into a three-dimensional constraint condition parameter matrix, then using a topological relation verification algorithm, using a graph neural network to traverse and verify a component connection relation, and obtaining a three-dimensional confrontation model; and a re-calibration mechanism is triggered when the deviation exceeds the limit, the weight is adjusted based on a Bayesian optimization algorithm, fusion verification is carried out again, finally, hierarchical grid division is adopted to construct high-precision sub-models, and the sub-models are spliced into an integral three-dimensional model, so that the model precision and reliability are improved, and reliable digital support is provided for ancient building protection.

The invention relates to the technical field of data analysis, in particular to a new energy power generation equipment health management platform based on a large model, which comprises a data acquisition and perception layer, an edge computing layer, a cloud processing layer and an application service layer, compared with the prior art that static historical data or single equipment parameters are adopted as a health detection reference, and the influence of environment dynamic change and equipment aging cannot be reflected, the scheme adopts a multi-dimensional simulation modeling technology, equipment parameters, weather parameters and other real-time working condition data are integrated to construct a digital twinborn model, and the digital twinborn model can be used for real-time health detection. Dynamic health reference values including generating capacity, instantaneous current / voltage, equipment temperature and the like are generated by simulating equipment operation states (such as photovoltaic efficiency attenuation at an extreme temperature and aerodynamic load of a fan in a salt mist environment) in different scenes. The method can accurately capture the interaction effect of the environment and the equipment, enables the health detection threshold to be dynamically adjusted along with the working condition, and improves the anomaly recognition accuracy by more than 35% compared with a traditional method.

The invention belongs to the technical field of simulation modeling, and provides a high-fidelity three-dimensional reconstruction method fusing attitude prior and geometric constraint, which comprises the following steps: acquiring an original image, and determining an initial camera attitude based on a laser radar inertial odometer; determining error constraint information and relative attitude constraint information, and optimizing the initial camera attitude according to the error constraint information and the relative attitude constraint information to obtain a fine camera attitude; inputting the original image into an image reasoning model obtained by pre-training to obtain a surface normal map output by the image reasoning model; and constructing a three-dimensional Gaussian distribution model, determining geometric constraint information, and performing iterative optimization on the three-dimensional Gaussian distribution model by using the geometric constraint information according to the surface normal map and the fine camera attitude to obtain a three-dimensional scene model. According to the method, the overall reconstruction efficiency is improved through attitude prior and geometric constraints, and the authenticity, accuracy and efficiency of the scene reconstruction process are improved.

The invention belongs to the technical field of deep-sea mining environment assessment, and particularly relates to an autonomous multi-mode mining plume and redeposition thickness monitoring system and method, and the system comprises an autonomous underwater unmanned submersible and detection load equipment connected with the autonomous underwater unmanned submersible. The autonomous underwater unmanned submersible is used for carrying detection load equipment, providing electric energy for the detection load equipment, sending a control instruction to the detection load equipment, preprocessing received data returned by the detection load equipment, and sending an equipment state to the mother ship in real time, so that the mother ship can monitor the autonomous underwater unmanned submersible in real time; the detection load equipment is used for synchronously carrying out deep sea near-bottom mining plume and redeposition thickness monitoring in three detection modes of acoustics, optics and hydrology, carrying out multi-category data comparison and fusion in the same time coordinate system, and sending the collected data to the autonomous underwater unmanned submersible; and data support is provided for later deep-sea mining plume and redeposition simulation modeling.

The invention relates to the technical field of diodes, and particularly discloses a high-temperature superconducting diode structure model which is used for solving the problems that an integrated circuit is high in power consumption and low in speed, and a traditional semiconductor technology is difficult to meet requirements. The semiconductor diode has the problems of power consumption and time delay, the research of the existing superconducting diode mostly focuses on low-temperature superconducting, low working temperature hinders the application and contradicts with the original intention of low power consumption, and the high-temperature superconducting diode which can work in a liquid nitrogen environment is urgently needed, including geometric, material and physical models. The geometric model is provided with a substrate with a superconductive microbridge strip with an asymmetric structure and metal films at two ends, the physical model contains an external magnetic field and current, and electromagnetic transport characteristics are analyzed through simulation modeling; through geometric structure and material selection and physical model setting, electromagnetic transport characteristics are analyzed by using the corrected RCSJ model, the geometric structure of the superconducting micro-bridge strip is optimized, and the problems of power consumption and speed of an integrated circuit are solved.

The invention provides an exhibition hall dynamic layout planning method and system based on three-dimensional modeling, and relates to the technical field of simulation modeling, and the method comprises the steps: building a layout simulation model of exhibition hall layout planning; performing association behavior response constraint on a layout evolution topological structure in the layout simulation model according to a cross correlation coefficient of display response characteristics among different display units to obtain a layout constraint condition among the display units; determining the spatial adaptability loss of each display unit under the condition of displaying different contents according to the change characteristics of the space utilization rate of each display unit under the condition of displaying different contents and the behavior feedback characteristics of the audience when each display unit displays different contents; and target optimization is carried out on the spatial streamline of each display unit in the target exhibition hall based on the layout constraint condition and all the spatial adaptability losses, and an optimal structure path for dynamic layout planning of the exhibition hall is obtained. According to the method, cost optimization of the exhibition hall layout structure can be realized based on the simulation model, so that the robustness of dynamic layout planning of the exhibition hall is improved.

The invention relates to a clean room airflow simulation modeling method and system fused with process layout optimization, belongs to the technical field of simulation modeling, and solves the problem that process layout and airflow cannot be optimized at the same time in existing simulation modeling. Comprising the steps of obtaining a process layout model, and constructing a label database according to a design general drawing, an architectural drawing and the process layout model; designing the purification air-conditioning system according to the process layout model and the label database, and determining design parameters; importing the process layout model and the design parameters into CFD pretreatment software to generate an initial model of the clean room, and arranging an air return passageway, a fan filter unit, a dry coil and a raised floor in the initial model according to the label database and the design parameters to obtain a fusion model; and grid division is performed on the fusion model to obtain a clean room airflow simulation model, then the clean room airflow simulation model is imported into CFD software for fluid simulation, and a process layout model of the clean room is optimized according to a fluid simulation result. And iterative optimization of the process and the airflow is realized.

The invention provides a method and a system for predicting residual compression strength of a carbon fiber composite material after lightning stroke, and belongs to the technical field of electric digital data processing. According to the method, by considering the pyrolysis degree of the lightning stroke CFRP composite material, the non-linear mechanical property parameters related to the pyrolysis degree actually measured based on the test and the thermal and mechanical damage results predicted based on the electric-thermal-mechanical multi-physics field coupling model are calculated; an actually measured nonlinear mechanical property thermal damage factor and a mechanical damage factor caused by impact damage are introduced into a constitutive relation of the CFRP composite material, and a finite element simulation method capable of quantitatively predicting the residual compression strength after lightning stroke is established by virtue of finite element software ABAQUS; the problems that in the prior art, the influence mechanism of lightning stroke damage on the mechanical property of the CFRP composite material is not clear, and a simulation modeling method capable of being directly used for calculating and predicting the residual compression strength after lightning stroke is lacked are solved.

The invention relates to a cross-vehicle-type collision waveform prediction method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining a plurality of sample vehicle types, and a real vehicle collision waveform and a simulated collision waveform under a collision working condition corresponding to each sample vehicle type, a sample data set is constructed based on various sample vehicle models, collision working conditions, real vehicle collision waveforms and simulated collision waveforms; initializing a pre-constructed collision waveform prediction model to obtain an initial collision waveform prediction model; and calculating covariance of each sample vehicle model under different collision working conditions based on the sample data set and the initial collision waveform prediction model, training the initial collision waveform prediction model by using the covariance and the sample data set to obtain a final collision waveform prediction model, and performing collision prediction of the target vehicle model by using the final collision waveform prediction model. Therefore, the technical problems that real vehicle testing cost is too high, time cost and generalization performance are difficult to balance through simulation modeling, and high-precision collision waveforms are difficult to obtain efficiently in the prior art are solved.

The invention discloses a dynamic simulation modeling method for a compressed air energy storage system based on AMESIM and application, and belongs to the technical field of compressed air energy storage.The method comprises the steps that firstly, system indexes are determined, based on the system indexes, a system technological process diagram is designed, main equipment and auxiliary equipment are selected, and design point parameters of the main equipment and the auxiliary equipment in the energy storage and release stage are determined; then, according to the equipment model selection result, sub-models of all elements in the air circulation loop and the heat storage and exchange loop are selected in the AMESIM; thirdly, calibrating and verifying each main equipment sub-model by utilizing main equipment characteristics and model selection parameters, and building a steady-state simulation model of the compressed air energy storage system; and then, constructing a dynamic simulation model based on the steady-state model, and carrying out dynamic simulation verification and evaluation. According to the method, the co-simulation model integrating thermodynamics, fluid mechanics, control theory and mechanical dynamics can be quickly built, and the method has the advantages of being high in model modeling precision, high in multidisciplinary coupling calculation capacity, high in simulation efficiency and the like.

The invention relates to the technical field of mechanical equipment fault diagnosis, and particularly discloses an attention mechanism CNN-based electric actuator fault feature extraction method and system. The method comprises the following steps: through a mode of combining simulation modeling and field acquisition, obtaining a fault feature of an electric actuator; obtaining multi-source data of the electric actuator in a normal state, a known fault state and an unknown fault state, and preprocessing and enhancing the multi-source data; and constructing a lightweight convolutional neural network model containing a cross-modal attention mechanism. According to the method, multi-source signals such as current, voltage and displacement can be effectively fused, weights of different modes and characteristics are automatically distributed, and the extraction capability of key fault characteristics is enhanced; accurate distinguishing between known faults and unknown faults is realized through multi-scale feature complexity measurement and a dynamic discrimination mechanism; in combination with domain self-adaption and an incremental learning mechanism, the model can migrate between simulation and real working conditions, and has self-expansion capability for a novel fault mode.

The invention provides an electric field analysis method. Firstly, a target model is generated through simulation modeling, continuous electric field distribution data is obtained, a first data set and a second data set are established, rasterized image feature extraction is performed on the first data set and the second data set through a graph neural network, corresponding first graph features and second graph features are obtained, and a cascade grid processing network is used to process the electric field distribution data. Firstly, a target power line is predicted according to the first graph feature, then the target power line is converted into a target electric field mode according to the second graph feature, and finally an electric field prediction result is generated and a preset analysis process is executed. According to the method, through the combination of the graph neural network and the cascade grid processing network, the continuity characteristic of electric field distribution is effectively reserved, and meanwhile, the noise problem caused by discretization is avoided. And through rasterized feature data processing, the data demand and the calculation complexity are greatly reduced, and the efficiency and the accuracy of modeling analysis are improved.

The invention relates to a simulation modeling method and system based on a natural language and computer equipment. Comprising the steps that natural language modeling simulation is achieved according to the technology of a large model, an intelligent entity and a protocol module, and the intelligent entity serves as a communication bridge between the protocol module and the large model. After a user question based on a natural language is obtained through an intelligent entity, a response of a large model to the natural language and communication interaction between the large model and a protocol module are triggered; the related target tool interface provided by the protocol module is called by the intelligent entity, so that the tool calling specification is ensured to be accurate, and the protocol module is enabled to determine and execute the target tool after the request is responded for multiple times. Therefore, through interactive use of the natural language of the large model, the use threshold of the user is reduced, the accessibility of the model is improved, codes do not need to be written or complex graphs do not need to be drawn, and the simulation modeling efficiency is greatly improved.

The invention discloses a traffic conflict risk evaluation method, system and device based on simulation modeling and a storage medium, and relates to the technical field of traffic safety evaluation method research, and the method comprises the steps: collecting road data and vehicle driving data, and constructing a traffic data set; carrying out traffic simulation modeling based on the traffic data set; carrying out traffic conflict index calculation based on traffic simulation modeling; evaluating the traffic conflict risk according to the traffic conflict index; according to the method, the traffic conflict is dynamically analyzed, the occurrence of the traffic conflict can be more accurately judged, the traffic conflict risk problem can be effectively solved, and a new thought is provided for judging the regional traffic conflict risk condition.

The invention discloses a heat pump drying experiment method based on 1D-3D joint simulation, particularly relates to the crossing field of heat energy engineering and simulation modeling, and aims to solve the problem of insufficient precision caused by disconnection of a heat pump system and cavity flow field simulation in a heat pump drying process in washing equipment such as a dish-washing machine. The method comprises the following steps: establishing a heat pump system one-dimensional dynamic model and a cavity three-dimensional flow field model, dynamically setting one-dimensionally output air supply temperature and humidity parameters as a three-dimensional inlet boundary, and meanwhile, feeding back three-dimensional air return parameters to a one-dimensional evaporator adjusting boundary to form closed-loop coupling iteration, so as to obtain a three-dimensional flow field model; dynamic high-precision simulation of the whole drying process is achieved, the structure optimization efficiency and the energy consumption evaluation reliability are effectively improved, part of physical tests are replaced, and the development cost is reduced.

The invention provides a carbon energy efficiency dual-objective optimization analysis method and system based on digital twinning, and relates to the technical field of carbon energy efficiency optimizing.The method comprises the steps that simulation modeling is conducted on an air compressor system and a sterile cold filling line of a beverage factory based on digital twinning, a filling twinning simulation space is constructed, and a production planning system is accessed; a bottle blowing machine beat signal, filling bottle attribute characteristics and filling bottle sterile blowing requirements in a preset time zone are obtained through a production planning system; in the filling twinborn simulation space, with minimization of carbon emission intensity and maximization of production stability as double optimization targets, iterative optimization search is conducted on the air compression control scheme of the air compressor system, and the optimal air compression control scheme is output; and the filling operation in the preset time zone is executed according to the optimal air pressure control scheme. The technical problems that in the prior art, an air compressor system adopts a fixed high-pressure control strategy, dynamic management and control cannot be conducted according to actual production requirements, and energy consumption is wasted are solved.

The invention relates to a double-robot automatic calibration method based on self-adaptive point location planning in a restricted space, and belongs to the technical field of double-robot calibration, and the method comprises the steps: building a three-dimensional simulation model of a double-robot operation space on an Rviz platform based on an ROS architecture; a collision detection module is used for randomly generating a calibration point composed of collision-free double-robot joint angle vectors; when the robot is driven to move, data of the motion capture camera and positive kinematics Cartesian coordinates of the double robots are synchronously collected, a calibration result is obtained through optimization of a least square method by adopting a hand-eye calibration algorithm, and the effectiveness of the calibration result is judged through the average value of data calibration precision until calibration of the double robots is completed. Simulation modeling, collision detection and a hand-eye calibration technology are fused, a complex calibration problem is converted into a virtual environment parameter optimization process through a self-adaptive sampling strategy and a data synchronous acquisition mechanism, calibration robustness and precision are remarkably improved, and guarantee is provided for high-precision cooperative control of double robots.

The invention discloses a composite material four-nail connection structure strength prediction and bolt layout optimization method based on a physical information neural network, and belongs to the technical field of composite material design. The method comprises the following steps: carrying out simulation modeling and verification on the composite material four-nail connection structure; generating and expanding a basic data set; constructing and training a physical information neural network model; performing system calibration and verification on the prediction precision and generalization ability of the physical information neural network model by using experimental data; and constructing a composite material four-nail connection structure bolt layout automatic optimization framework, and outputting optimal bolt layout parameters. According to the method, the problem of physical unreasonable prediction of a pure data driving model in a data sparse region is solved, efficient collaborative optimization under geometric constraints of bolt spacing, edge distance and the like is realized, a complete closed loop from rapid strength evaluation to automatic layout optimization is realized, and the design efficiency and reliability of a composite material four-nail connection structure are improved.

The invention discloses a digital twinning-based intelligent simulation control system for a power system, and the system comprises a data processing module which is used for collecting and preprocessing the operation data of the power system; the storage mapping module is used for mapping the data to the virtual architecture and generating a twin snapshot sequence; the factorization module is used for executing graph embedding and node decomposition to generate embedding features; the twinning mapping module is used for constructing a twinning mapping network and realizing bidirectional fusion; the simulation modeling module is used for executing health evolution and power flow risk modeling on the GPU to generate a knowledge graph; the strategy solving module is used for carrying out constraint calculation on the knowledge graph and screening an optimal strategy; and the deduction regulation and control module is used for generating a causal path based on graph backtracking and completing closed-loop control. Real-time mapping, intelligent deduction and self-adaptive regulation and control of the power system are realized through digital twin modeling and GPU parallel simulation, and the scheduling precision, the response speed and the operation stability are remarkably improved.

The invention discloses a performance evaluation method and device for an infrared target detection model, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the simulation modeling of geometric figures in a digital environment, and determining an initial digital adversarial sample based on a corresponding geometric modeling result and an infrared detection image sample; performing iterative optimization on the initial digital countermeasure sample based on a preset sample optimization strategy to determine an optimized digital countermeasure sample; performing multi-scale domain migration transformation enhancement on the optimized digital confrontation sample based on a preset multi-scale transformation framework to determine a target physical confrontation sample; and based on the target physical confrontation sample, performing an attack test of an infrared black box query attack on an infrared target detection model, and determining a performance evaluation result corresponding to the infrared target detection model by using a corresponding test result. According to the method, the multi-scale attack test on the infrared target detection model can be efficiently and effectively realized, and the test concealment and robustness are improved.

The invention discloses a superconductive current limiter simulation modeling method based on PDE and a circuit module, and relates to the working principle and current limiting effect analysis of a resistance type superconductive fault current limiter. The method comprises the following steps: S1, selecting a two-dimensional axial symmetry space dimension, and designing a geometric model according to a solid structure of the pie-shaped superconducting fault current limiter; s2, establishing physical attribute parameters and variables of a plurality of physical fields, and adding materials and physical field boundary conditions; s3, realizing a general form partial differential equation (PDE), solid heat transfer and circuit physical field coupling, and performing mesh generation on the geometric model; s4, setting research steps, and modifying the configuration of the solver until convergence; and S5, post-processing a simulation result, generating one-dimensional diagrams of temperature, current and the like, and drawing data by utilizing Origin. According to the method, the magnetic field and temperature changes of the pie-shaped superconducting fault current limiter under the impact of the instantaneous short-circuit current are analyzed, the current limiting performance of the pie-shaped superconducting fault current limiter is analyzed, the voltage grade and the short-circuit current can be freely set, the operation is simple, and the calculation speed is high.

The invention provides a laser interference processing optimization method and system for improving the performance of a micro-nano structure, and relates to the technical field of laser micro-nano machining.The method comprises the steps that firstly, micro-nano structure sample processing parameters are extracted, a sensitive tracking model is constructed to analyze parameter sensitivity, and a lifting-retaining parameter set is obtained; according to the simulation modeling, processing and lifting a dynamic model diagram, analyzing the period consistency of the dynamic model diagram and a reference design diagram through foreground and background maximum flow cutting, and determining a structure period; if the local photoetching model diagram is of a periodic structure, projecting the actual local photoetching model diagram to a local photoetching model diagram of one type in a sine manner, analyzing the curve slope, and optimizing a periodic interference angle and a light beam wavelength; and if the structure is a non-periodic structure, interpolating a gradient processing chromaticity layout for the second-class local photoetching model diagram according to a chromaticity tradeoff criterion, and analyzing and optimizing a dynamic phase in real time. According to the method, high-precision optimization of the processing parameters of the micro-nano structure with consistency in different periods is realized, and the overall performance and stability of the micro-nano structure are effectively improved.

The invention belongs to the technical field of simulation modeling, and particularly relates to an electromagnetic simulation modeling method for connection of a GIS and a power cable, and the method comprises the steps: constructing a three-dimensional geometric model in equal proportion; the three-dimensional geometric model is imported into COMSOL, and a simulation model is obtained; adding a magnetic field and an electric field physical field to the simulation model, and performing grid division; constructing a simulation model containing different tool mark defects; obtaining internal electric field intensity and magnetic field intensity of the GIS terminal through experiments when different tool mark defects exist, and comparing the internal electric field intensity and the magnetic field intensity with simulation results; constructing a data set based on the simulation model; converting a one-dimensional space-time signal in the data set into a two-dimensional topological feature image by using feature transformation; and training, identifying and classifying the two-dimensional topological feature image by using a residual network, and establishing a network model for judging different main insulation tool mark defects. According to the invention, efficient and accurate identification of the main insulation tool mark defect of the GIS cable terminal is realized, and the safety and stability of a power system can be improved.

The invention relates to the technical field of computer aided design and numerical control machining simulation, in particular to a five-axis linkage numerical control machine tool machining simulation modeling method and system. Comprising the following steps: acquiring a workpiece space three-dimensional model, tool geometric model data and a six-dimensional pose data sequence; a dynamic virtual view cone is constructed, and the workpiece space three-dimensional model is divided into different areas; calculating spatial distances corresponding to different areas and mapping the spatial distances into different grid resolutions; performing spatial discretization and integration on the corresponding areas according to different grid resolutions to obtain a multi-resolution dynamic workpiece model, and performing Boolean material removal simulation to obtain a machining state model; and carrying out time sequence fusion on the machining state models at all moments to obtain a workpiece machining time sequence simulation model. According to the method, the processing process is sensed through the dynamic virtual view cone, adaptive distribution of modeling resources is realized, the problem of resource waste caused by uniform partitioning is solved, and the simulation efficiency is remarkably improved while the precision of a key region is ensured.

The invention belongs to the field of computer software and traffic, and particularly relates to a mixed traffic flow complex interactive behavior-oriented data-driven simulation method and system, and the method comprises the following steps: obtaining real trajectory data of motor vehicles, non-motor vehicles and pedestrians, carrying out the group division of the non-motor vehicles and the pedestrians, and extracting an interactive scene; the method comprises the following steps: constructing a mixed flow strategy simulation model, and by taking each traffic participant as an intelligent agent, generating a simulation track based on a hierarchical strategy network for guiding a lower-layer action by an upper-layer strategy constructed for three types of participants respectively: further constructing observation-action pairing samples respectively based on real interaction data and simulation generation data, and integrated efficient simulation of complex interaction behaviors of the mixed traffic flow is realized through an adversarial training mechanism. According to the method, integrated simulation modeling of multiple types of traffic participants in the mixed traffic flow is realized, group travel characteristics of non-motor vehicles and pedestrians can be fully described, and a dynamic decision process of heterogeneous traffic participants is accurately described.

The invention discloses an OSM-based urban traffic three-dimensional simulation scene modeling method and system, and the method comprises the steps: obtaining map data of a target simulation region, carrying out the preprocessing of the map data, and obtaining the preprocessing data; road shoulders, curbs and sidewalks are subjected to parameterization batch filling according to the preprocessed data, and a two-dimensional simulation model is correspondingly generated; defining a target data standard, generating a target high-precision map according to the target data standard and the two-dimensional simulation model, and converting the target high-precision map into a three-dimensional road network model through target software; based on three-dimensional visualization software, a three-dimensional simulation model is generated according to the three-dimensional road network model, and three-dimensional visualization simulation is generated based on a digital twinborn tool and a blueprint tool. Aiming at traffic simulation modeling requirements, the OSM map is used as a data source, the data conversion relation between the simulation model and the three-dimensional model is deeply explored, the automatic modeling efficiency of traffic simulation is improved, and the three-dimensional visualization capability of the simulation model is enhanced.

The invention discloses a ship outfitting path planning and simulation modeling method, system and device and a medium, and belongs to the technical field of ship digital assembly. According to the method, the problems of low path planning efficiency, insufficient virtual-real fusion precision and lack of dynamic collision early warning in a complex cabin environment are solved, the cognitive load of workers is remarkably reduced, the assembly qualification rate and the collision early warning accuracy are improved, and the method is suitable for digital outfitting operation of complex system equipment such as ship pipelines and shaft-rudder systems and has a wide application prospect. And a key technical support is provided for digital shipbuilding.

The invention relates to the technical field of simulation modeling, in particular to a BIM-based building embedded pipeline simulation system, which comprises a pipeline path optimization module, a space conflict detection module, a construction sequence planning module, a dynamic adjustment generation module and a resource utilization rate evaluation module. According to the method, by automatically extracting the spatial distribution information of the pipelines and analyzing the geometrical characteristics and the connection relation of the pipelines, accurate marking of potential conflict positions can be achieved, the comprehensiveness and the accuracy of spatial conflict recognition are effectively improved, and further based on extraction of the construction sequence relation and logic dependency analysis, the construction efficiency is improved. The method can achieve the intelligent judgment of the construction conflict state, achieves the dynamic adjustment of a layout path and a time range, assists in forming a targeted wiring strategy in a conflict region, optimizes the resource space matching degree, automatically recognizes a low-efficiency time period, carries out the real-time identification, improves the response capability of a construction process to the resource utilization efficiency, and improves the construction efficiency. And the precision of path adjustment and the coordination of construction organizations are improved.

The invention relates to the technical field of simulation modeling analysis, in particular to a simulation modeling analysis method applied to electromagnetic fluid of an alternating current contactor, which comprises the following steps: acquiring armature displacement data in real time through a displacement sensor, and constructing a dynamic mapping relation table containing hysteresis compensation coefficients; dynamically correcting the air gap permeability based on the displacement data and the compensation coefficient, generating an electromagnetic field dynamic coupling boundary condition, and realizing real-time matching of magnetic parameters and mechanical motion; in fluid field simulation, a deformable sub-grid nesting technology is adopted, elastic deformation control is carried out on grids in an electric arc area in combination with a displacement change rate, the influence of magnetic field distortion on the grids is synchronously corrected by associating hysteresis compensation coefficients, and the coupling problem of electric arc dynamic deformation and hysteresis nonlinearity is solved; and meanwhile, a non-arc region is fixed by utilizing a main grid topology keeping module, a deformation sensitive region is screened to execute local grid recombination, and high-precision dynamic simulation of an arc severe deformation region is realized on the premise of ensuring the calculation stability.