133 results about "Interactive simulation" patented technology

The invention provides an interactive simulation teaching processing method and device for ship electromechanical guarantee, and relates to the technical field of interactive simulation teaching, and the method comprises the steps: building a ship electromechanical full-structure model in a virtual simulation platform, digitally mapping real equipment operation parameters into virtual parts with real-time response characteristics, and carrying out the real-time simulation of the virtual parts; synchronous acquisition and normalized calibration of operation instructions, equipment feedback and environment disturbance in a teaching scene are realized, and a unified teaching simulation data set is generated. State recognition, fault simulation and operation evaluation calculation are completed through multi-layer task scheduling, and real-time teaching feedback is generated and visually displayed on a terminal. Based on difference analysis of dynamic evaluation data and a standard operation template, operation deviation and abnormity are automatically identified, and a targeted guide prompt is generated. According to the invention, unified modeling and data linkage can be carried out on student operation behaviors, equipment dynamic responses and teaching feedback results, and the problems of teaching feedback lagging and lack of pertinence in operation correction are solved.

The invention discloses an interactive simulation method for calculating aging parameters of a superconducting cable and a superconducting cable system.The system comprises the steps that a cable body electromagnetic transient model, a cooling system transient thermal model and a three-dimensional multi-field finite element model are built, and cable material characteristics, environment parameters and operation condition data are input; a model interaction interface is constructed through a simulation platform, data interaction and coupling among multiple models are realized, simulation parameters are dynamically adjusted, accurate matching of model step length and dynamic characteristics of the system is ensured, and aging parameters of the superconducting cable system under complex working conditions are calculated. According to the method, the operation state of the superconducting cable is evaluated by analyzing the mixed data, aging analysis of the superconducting cable system under multiple working conditions is carried out, and decision support is provided for system maintenance.

The invention relates to the technical field of intelligent man-machine interaction, and discloses a customized virtual pet interactive simulation method, which comprises the following steps: S1, perceiving the emotional state of a user, S2, analyzing the behavior and emotion of the user, S3, establishing a virtual pet behavior model, and S4, establishing a virtual pet interaction model. The invention provides a customized virtual pet interactive simulation system, which comprises a sensing module, a decision-making module, an execution module and a feedback module. The method comprises the following steps: S1, selecting a virtual pet behavior, S2, selecting an optimal behavior, S5, carrying out deep reinforcement learning optimization, S6, executing the virtual pet behavior, and S7, feeding back and adjusting a behavior strategy. The invention also provides the customized virtual pet interactive simulation system, which comprises a sensing module, a decision-making module, an execution module and a feedback module. Through long-term emotional state tracking, personalized behavior pattern recognition and long-term reward correction of reinforcement learning, the virtual pet can continuously optimize a behavior strategy, dynamically adapt to long-term emotional changes of a user, and improve the personalized matching degree and long-term stability of interaction.

The present invention relates to an advanced augmented reality, AR, apparatus featuring a video see-through AR, VST-AR, device that captures images of a real-world environment and displays augmented versions on a screen. The system includes a corporal entity, such as an empty laboratory vessel, equipped with a unique identification marker. This marker provides real-time spatial data for generating visual augmentations representing virtual matter within the vessel. The apparatus integrates various sensors, including an inertial measurement unit, IMU, capacitive tactile sensors, and a thermal diode, to dynamically adjust visual augmentations based on user interactions. Additional sensory enhancements include an olfactory output fan, an eccentric rotating mass, ERM, motor, and auditory outputs. Wireless connectivity via IEEE 802.11 (Wi-Fi) and IEEE 802.15.1 (Bluetooth) ensures seamless communication between components. This AR system is particularly valuable for educational and laboratory settings, offering realistic, interactive simulations.

The invention discloses an earth surface and underground water interactive simulation method and system based on aquifer analysis, and relates to the technical field of earth surface and underground water interactive simulation. An earth surface and underground water interactive simulation system based on aquifer analysis comprises a data acquisition module, a data processing module, an aquifer analysis module, a model simplification module, an interactive simulation module and a resource management module. According to the method, data sampling is performed on high-resolution data in the preprocessed earth surface data and underground data, so that key information in the data can be reserved, and the data volume needing to be processed can be remarkably reduced under the condition that the precision of the model is not remarkably influenced; therefore, the calculation complexity and the calculation amount are reduced, the calculation efficiency and the operation efficiency of the model are improved, the model can be helped to better process noise and abnormal values, the over-fitting risk of the model is reduced, and the robustness and the generalization ability of the model and the performance and the reliability of the model in practical application are improved.

The invention relates to the technical field of safety and stability control of a power distribution network, in particular to a regional power distribution network collection point voltage reactive coupling characteristic evaluation method. The method comprises the following steps: deploying a synchronous phasor measurement unit for a plurality of transformer area convergent points, collecting electrical parameters and generating original state data of the convergent points; performing quality verification, feature extraction and time sequence reconstruction on the original state data to obtain a convergence point key feature parameter set; based on the key characteristic parameter set, an inverter group initial model is constructed through inverter operation characteristic clustering and control link characteristic analysis; performing electromagnetic transient-steady state hybrid simulation on the inverter group based on the model to generate a transient-steady state hybrid simulation scheme; on the basis of the scheme, through multi-working-condition interactive simulation and interactive gain calculation, a key coupling path of a collection point is mined. According to the method, the dynamic interaction influence between the inverter group and the power grid can be accurately captured, and the resonance path and the reactive coupling path can be effectively identified.

The invention relates to an unmanned cluster virtual-real interactive simulation method based on three-dimensional motion capture, which comprises the following steps of: operating autonomous navigation and autonomous exploration functions of a single real intelligent agent in a real environment, acquiring posture information of the real intelligent agent through a motion capture system, and acquiring image, point cloud and IMU (Inertial Measurement Unit) posture information through a sensor; the autonomous navigation and autonomous exploration functions of a single virtual intelligent body are operated in a simulation environment, and posture information, images, point clouds and IMU posture information of the virtual intelligent body are obtained; sending data stored in a real environment to a simulation platform in real time, comparing and calculating a dynamic error, a kinematics error, a sensor error and an environment error, and correcting a virtual agent model and a simulation environment model; in a real environment and a simulation environment, multi-machine topology flexible formation and multi-machine cluster autonomous navigation are carried out at the same time, whether various errors of each virtual agent and a real agent exceed a set threshold value or not is calculated through comparison, and virtual-real interaction iteration training is carried out until the errors converge.

The invention discloses a radiator thermal efficiency full-detection test system, which belongs to the technical field of radiators and is provided with a heat source simulation module, an environment simulation module, an energy efficiency circulation module, a measurement and control analysis module and a digital twin module. The heat source simulation module is responsible for accurately simulating the heating behavior of an electronic device and achieving dynamic compensation of heat radiator contact thermal resistance, the environment simulation module is used for constructing a stable temperature and humidity environment and isolating external interference, and the energy efficiency circulation module is used for multi-energy collaborative supply and energy gradient utilization. The energy efficiency circulation module provides cold and hot medium water for the heat source simulation module and conveys constant-temperature cooling water to the environment simulation module, and the valve opening degree is adjusted by the measurement and control analysis module. The measurement and control analysis module undertakes full-process data acquisition and performance analysis tasks, and the digital twinning module realizes virtual-real interactive simulation and artificial intelligence optimization; the radiator thermal efficiency full-detection test system solves the technical problem of how to improve the detection efficiency of the radiator thermal efficiency.

The invention provides a GAN-based digital doctor expression, action and emotion interaction simulation system. The system comprises a data set construction module, an audio encoder, an action mask encoder, a Transform converter, a training module and a digital doctor generation module. The data set construction module is used for constructing a high-quality medical scene data set; the audio encoder extracts advanced feature representation from the audio by adopting a pre-training model; the motion mask encoder is used for extracting motion feature information in a binary image with the same size as a video frame; the Transform converter is used for realizing the fusion of the multi-modal data; the training module is used for training the GAN network; and the digital doctor generation module generates a vivid whole body action and expression sequence through a trained generator. According to the system, expressions and actions of the digital doctor can be more accurately generated according to voice dialogues in the current system, and the problems that in a traditional online diagnosis and treatment system, users are not satisfactory, and the expressions of the digital doctor are not generated well are solved.

The invention discloses a virtual reality interactive simulation system based on high-speed rail line maintenance, and belongs to the technical field of high-speed rail line maintenance simulation. The system comprises a virtual scene construction unit, an operation action capture unit, a rule verification unit, a difference calculation unit, an abnormity positioning unit and a comprehensive risk prompting unit. The virtual scene construction unit generates a standardized virtual scene model by using high-speed rail line maintenance manual data and real-time equipment state information; the operation motion capture unit captures a user three-dimensional space coordinate sequence and outputs motion track data; the rule verification unit compares the action track data with a preset maintenance rule base and outputs an operation compliance judgment result; the difference calculation unit calculates an operation deviation measure; an abnormal positioning unit positions an abnormal operation physical position; and the comprehensive risk prompting unit generates a maintenance risk grade identifier. The system provides a simulation environment for maintenance personnel, and carries out real-time monitoring and feedback operation.

The invention provides an integrated energy system integrated dynamic simulation method, system and device and a medium, and relates to the technical field of energy utilization, and the method comprises the steps: configuring a transfer matrix and a state equation based on an energy network dynamic two-port model, and representing a dynamic transmission process corresponding to a gas network pipeline parameter characteristic and a heat network pipeline parameter characteristic; constructing an equipment dynamic simulation model; a comprehensive energy system model with a dynamic transmission process and an equipment dynamic simulation model is built based on a nonlinear finite difference method, dynamic simulation is conducted on the built comprehensive energy system model, transient behaviors of gas net turbulence and heat pump working medium phase change are captured through a nonlinear partial differential equation, dynamic simulation is achieved, and a simulation result is stored. According to the invention, the transient process can be captured, and dynamic interactive simulation of gas-heat-power grid is supported; the dynamic coupling equipment is abundant, the expansibility and the adaptability are excellent, a novel equipment model or an external control strategy can be accessed, and the method is suitable for various application scenes.

The invention provides a simulation scene multi-target calculation method and device based on parallel scheduling and a server, and relates to the technical field of industrial simulation application, and the method comprises the steps: obtaining a parameter set of a plurality of simulation tasks, and carrying out the task clustering processing of the parameter set according to the parameter similarity, and obtaining a plurality of task clusters; all the task clusters are distributed to different computing nodes, parallel solving processing of simulation tasks is carried out on the task clusters in all the computing nodes on the basis of a self-adaptive tuning model of a message passing interface, and local simulation results corresponding to all the computing nodes are obtained; and carrying out convergence and recombination processing on the local simulation results to obtain a complete simulation result data set, carrying out compression and indexed storage processing on the simulation result data set to generate a lightweight simulation result, and carrying out streaming visualization processing on the lightweight simulation result to obtain a target interactive simulation visualization result. According to the method, the simulation efficiency of simulation scene multi-target calculation can be remarkably improved.

The invention discloses an unmanned aerial vehicle steering effect analysis method based on wind disturbance, and belongs to the technical field of unmanned aerial vehicle overall design and flight control. Comprising the following steps: 1, constructing a coupling simulation model; step 1.1, constructing a six-degree-of-freedom rigid body dynamic model; step 1.2, integrating control laws; step 2, dynamically injecting a wind disturbance scene; step 3, dynamically evaluating the steering effect and extracting parameters; step 4, carrying out multidisciplinary collaborative optimization; and 5, carrying out closed-loop iteration verification. Dynamic closed-loop test: breaking through traditional static analysis, realizing real-time interactive simulation of wind disturbance-control-steering effect, and accurately capturing nonlinear transient response; multi-source disturbance fusion: discrete gust and continuous turbulence are compositely injected, so that challenges of complex meteorological conditions on steerage are reflected more truly; and cross-domain parameter linkage: through dynamic iteration of pneumatic, control and structural parameters, system performance loss caused by excessive design of a single specialty is avoided.

An artificial intelligence-powered gamified learning management system is disclosed, designed to enhance financial literacy and stock trading education. The system integrates adaptive learning, real-time market analytics, and interactive simulations, including a Fantasy Stock Trading League and Paper Trading Engine. The AI-powered Adaptive Learning Engine dynamically adjusts educational content and trade recommendations based on user performance, utilizing reinforcement learning and collaborative filtering models. The Market Insights Engine provides predictive analytics, sentiment analysis, and risk assessment using advanced AI models. Users engage in competitive trading simulations, sentiment-based challenges, and community-driven learning forums, fostering practical investment skills. The system offers personalized learning paths, real-time feedback, and post-trade analysis to improve decision-making. Principal uses include stock trading education, financial literacy enhancement, and gamified investment simulations. This system addresses the limitations of static financial education platforms by creating an interactive, adaptive, and engaging learning environment.

The invention discloses a demand defense control method and system based on digital twinning, and the method comprises the steps: building a digital twinning model through the multi-physics coupling and machine learning technology according to processed real-time operation data in combination with a power system topological structure and equipment parameters, and carrying out the dynamic calibration and optimization of the digital twinning model through the real-time operation data. According to the method, an electrical field and thermal field coupled digital twinborn model is constructed, time sequence features are extracted in combination with machine learning, and parameters are dynamically calibrated by using Kalman filtering, so that the problems of lack of multi-physical field interactive simulation, insufficient real-time data utilization and lack of a dynamic calibration mechanism of a traditional model are solved; the prediction accuracy of the model in a distributed power supply fluctuation and load sudden change scene is improved; according to the method, demand control, cost and user experience are taken as multi-objective optimization functions, an adjustment strategy is determined by adopting a particle swarm algorithm and the like, and closed-loop control from prediction, strategy generation to evaluation optimization is formed by calculating and controlling a multi-dimensional index evaluation effect such as response time and the like.

A modular, virtual reality (VR)-based CPR training system with multimodal feedback mechanisms, including: a robust VR environment platform configured to generate real-time interactive simulations of realistic medical scenarios, with the platform monitoring compression depth and rate, ensuring real-time feedback for accurate skill assessment and correction; a VR headset operatively connected to the rugged VR environment platform and configured to display the realistic medical scenarios to the user, wherein the virtual scene generated by the rugged VR environment platform and displayed by the VR headset includes an interactive virtual patient that dynamically responds to the user's actions and provides visual and tactile cues to guide the correct technique for CPR; one or more visual feedback mechanisms within the virtual environment generated by the VR environment platform to provide real-time guidance to the user, wherein the visual feedback mechanism includes a dynamic UI slider and a color-coded chest overlay transition; a haptic feedback module configured to provide haptic cues to the user when the compression depth exceeds the predefined threshold, wherein the haptic feedback module comprises a linear resonant actuator (LRA) mounted on the back of the user's index finger to provide the haptic cues through vibrations, and a haptic feedback driver configured to control the tactile signal, wherein the haptic feedback module provides a strong vibration alert via the actuator, allowing the user to immediately correct over-compression; and a microcontroller acting as a core processing unit with a control interface configured to control the operation of the proposed feedback system, wherein the microcontroller communicates with the VR environment platform, the VR headset, and the haptic feedback module, wherein the VR environment platform communicates with the microcontroller via serial communication to trigger the haptic feedback module, wherein the microcontroller processes the received signals and generates appropriate pulse width modulation (PWM) signals for the haptic feedback driver to actuate the actuator.

The invention relates to the technical field of simulation optimization and simulation, in particular to a building energy efficiency dynamic simulation method and system based on digital twinning, a building energy efficiency digital twinning model is designed through a neural symbol method, and an energy efficiency optimization strategy can be autonomously generated through interactive simulation by utilizing reinforcement learning according to real-time data and external changes. In order to ensure the accuracy of the model, all data are endowed with a unified semantic framework and knowledge association, and a machine learning algorithm is utilized to realize automatic synchronous updating and full-dimensional adaptive correction of the model, including correction of state variables, model parameters and structural information. In addition, future energy consumption prediction can be carried out, a future control action sequence can be generated, the event-driven MPC algorithm generates high-level instructions for key events to achieve intelligent control, and the purposes that the building energy consumption is lowest and various constraint conditions are met are achieved. According to the method, the advantages of data driving and model driving are fully utilized, and the intelligent level of building energy efficiency management is improved.

The invention relates to a metal plate series parameterization design method, system and device and a medium, and the method comprises the steps: obtaining the design information of a target metal plate part, analyzing the design information of the target metal plate part, and obtaining the design demands and target design parameters of the target metal plate part; performing feature extraction on the design demand of the target sheet metal part to obtain demand feature point data; inputting the demand feature point data into a pre-trained design model for analysis to obtain a design parameter template of the initial sheet metal part; performing three-dimensional modeling according to the design parameter template of the initial sheet metal part and the target design parameters to obtain a three-dimensional model of the initial sheet metal part; importing the three-dimensional model of the initial sheet metal part into a virtual reality environment for interactive simulation and evaluation to obtain an evaluation result; and adjusting the three-dimensional model of the initial sheet metal part according to an evaluation result to obtain a design graph of the target sheet metal part. The method has the effect of improving the metal plate design efficiency.

The invention discloses an agricultural product cold-chain logistics full-process interactive simulation system, and relates to the technical field of agricultural product cold-chain logistics, and the system comprises a cold-chain process module which is used for simulating logistics paths and temperature and humidity state changes of agricultural products in a plurality of links; the parameter configuration module is used for setting environment parameters, product parameters and equipment parameters for each link in the cold chain process; the logic judgment module is used for judging operation reasonability according to user configuration and built-in standard rules; the operation verification module is used for feeding back a logic judgment result and giving an operation suggestion; the data recording module is used for recording input parameters, judgment results and system responses in the whole simulation process; the visual display module is used for displaying the key indexes, the process states and the alarm events in a graphic mode; and the user interaction terminal is used for providing a user interface and performing interaction. According to the invention, the problems of scattered simulation links, lack of dynamic interaction and incomplete data tracing in the prior art are solved.

The invention discloses an interactive simulation teaching system based on a large language model, and the system comprises an interactive case generation module which is configured to generate an open type case text according to a teaching parameter set and a situation preference information set; the multi-mode decision interaction module is configured to display an open type case text and obtain a simulation decision scheme input by a second user; the dynamic feedback module is configured to generate feedback content according to the open type case text; the selection module comprises a backtracking and replaying unit and a saving and submitting unit, and the backtracking and replaying unit is configured to rerun the multi-mode decision interaction module so as to modify the simulation decision scheme; the storing and submitting unit is configured to store the current simulation decision scheme and the associated context; and the comment suggestion module is configured to display the open case text, the simulation decision scheme and the feedback content, and obtain a comment suggestion input by the first user. The interactive simulation teaching system can support plot evolution through the dynamically generated open case text.

The invention provides an interactive simulation engine for electronic countermeasure simulation and a general adaptation method thereof, relates to the technical field of electronics, and solves the problem that the general adaptation performance of a simulation engine to each simulation model is insufficient. The simulation engine is used for obtaining a corresponding algorithm result to realize simulation application in a mode of calling a function of each simulation model after each simulation model is initialized, and storing data needing to be interacted by each simulation model in a pointer form. Enabling each simulation model to obtain a pointer corresponding to the required data from the simulation engine according to the own demand, and achieving data interaction; and each simulation model judges whether data corresponding to a pointer is needed or not according to the type of the pointer in the simulation engine. According to the method, a simulation engine code does not need to be modified after the new simulation model is added into simulation, the method can adapt to complex and changeable electronic countermeasure scenes, and higher environmental adaptability and application ductility are shown while the simulation precision is guaranteed.

The invention belongs to the technical field of AI model evaluation, and particularly relates to an AI large model multi-dimensional performance and risk evaluation and visualization system based on a multi-benchmark test. According to the method, input disturbance and continuous learning processes in a simulation application scene are simulated in a pre-deployed interactive simulation environment through collected multi-dimensional performance indexes, and a time sequence performance graph of a target model is output, so that performance index changes of the target model in different time periods are displayed, and in addition, the performance of the target model is improved. The risk map is constructed based on the probabilistic relation network, the potential threat path is identified, the risk level is quantified, a risk coping strategy can be generated in combination with the preset compliance rule, suggestions are provided for model optimization, and the evaluation result and the risk analysis result are presented in a multi-dimensional visualization form subsequently, so that the risk analysis efficiency is improved. And user-defined view configuration and interactive query are supported, so that the user can intuitively understand the performance and risk state of the AI large model according to actual requirements.

The present invention relates to a vehicle-UAV collaborative scheduling method based on hierarchical reinforcement learning, which belongs to the field of transportation and logistics technology. It solves the problems of high cost, low efficiency and irrational resource allocation of "ground-air integrated" combined transportation in the prior art. The method comprises: step S1, constructing an interactive simulation environment for urban rapid logistics transportation; step S2, constructing a vehicle-UAV dynamic scheduling model based on the vehicle-UAV collaborative scheduling process using r-MDP; step S3, designing a hierarchical reinforcement learning algorithm framework, and solving the vehicle-UAV dynamic scheduling model using the hierarchical reinforcement learning algorithm framework to obtain a collaborative scheduling strategy; and step S4, substituting the obtained collaborative scheduling strategy into the constructed interactive simulation environment for verification to obtain a verification result. If the verification result meets preset requirements, the collaborative scheduling strategy is output for vehicle-UAV collaborative scheduling; otherwise, the method returns to step S3 to modify parameters and rebuild the hierarchical reinforcement learning algorithm framework.

The invention discloses an intelligent agent-based interactive simulation system and an interactive simulation method, and belongs to the field of artificial intelligence. The system comprises a control module serving as a core control center, a world module providing a simulation environment for multi-agent interactive simulation, a memory module serving as an agent memory library and a tool module integrating various auxiliary tools. When the system is used for performing a topic discussion simulation task, the modules cooperate to perform interactive simulation, so that each agent generates comments. The invention aims to improve the expandability of the social simulation system, so that the social simulation system can process large-scale individual interaction; the accuracy of a simulation result is improved, and the emotion and psychological states of individuals are considered; and a complex organization structure in a human society is effectively simulated, so that the authenticity of a simulation effect is enhanced.

The invention relates to the technical field of animation plot automatic analysis and generation, in particular to an AI-based animation generation method and system for plot automatic analysis, and the system comprises a plot data collection module, a central plot analysis platform, an execution layer generation module and user feedback terminal equipment. Through combination of historical plot data, popular culture trends and audience watching habits, a plot interest prediction model is constructed by using a convolutional neural network and a long-short term memory network, and accurate prediction and optimization suggestion generation are realized; and the dynamic scene generator and the role interaction simulator adjust the scene layout and role logic according to the instruction to ensure the personalized optimization of the plot. The method can respond to the audience demand change in real time, improve the resource utilization efficiency, and enhance the market competitiveness of animation works and the audience satisfaction.

The application discloses a kind of inertia flywheel control method and system based on reinforcement learning, the method includes: the conversion experience multiple tuple obtained by interactive simulation environment and neural network is stored in experience pool, and the experience multiple tuple of the set number of random sampling from current time experience pool is used to update neural network;According to the reward in current experience pool, judge whether to meet neural network update end condition, if meet, then the updated neural network is used as the neural network of training completion, otherwise continue to update neural network until meeting end condition;The state quantity of inertia flywheel output end needing control quantity calculation is input to the trained neural network to obtain action, and the control quantity to be input to inertia flywheel is obtained based on action and torque setting value.Utilize the scheme of the application, neural network can adjust its strategy according to actual performance, more accurately predict and calculate the action corresponding to the state quantity of inertia flywheel output end.

The invention discloses an interactive simulation cockpit, and relates to the technical field of driving simulation. The problems of insufficient immersion, single interaction dimension, simulation scene solidification and the like existing in existing simulation driving are solved. The interaction module is integrated in the cabin body, the electric sliding rail is arranged on the inner wall of the bottom of the cabin body, the seat is fixed to the inner wall of the electric sliding rail through bolts, and the display screen, the pedal, the operation table and the steering wheel are arranged in front of the seat. The interaction module comprises a biological characteristic acquisition module used for acquiring physiological state data of a driver in real time, a force interaction unit used for the driver to directly simulate driving, and an environment simulation restoration module used for providing a simulation scene. According to the invention, a'human-vehicle-environment 'deep closed-loop interactive simulation cockpit is realized, a one-way output mode of an existing simulator is broken through, the state of a driver can be sensed in real time, and the simulation driving content and feedback intensity are dynamically adjusted, so that the authenticity and effectiveness of training are greatly improved.

The invention provides an optical cable line dynamic environment simulation method and system based on physical rendering, and relates to the technical field of virtual modeling of electric power communication equipment. Comprising six steps of optical cable line basic data acquisition, dynamic environment parameter modeling, PBR-based material attribute definition, dynamic environment and optical cable interactive simulation, rendering optimization and simulation result verification. The system comprises a data acquisition module, an environmental parameter modeling module, a PBR material definition module, a dynamic interaction simulation module, a rendering optimization module, a result verification module and an application integration module. Real material characteristics of the optical cable and accessories are restored through a physical rendering technology, multi-scene real-time simulation is realized in combination with dynamic environment parameters, the influence and hidden defects of the environment on the optical cable are accurately presented, high-precision visual support is provided for optical cable line inspection, fault early warning and operation and maintenance training, and the method is suitable for popularization and application. And the intelligent level of external operation and maintenance of electric power communication is obviously improved.

1. Name of the Design Product: Dual-person Special Vehicle Interactive Simulation Cockpit. 2. Use of the Design Product: For simulating the driving of a dual-person special vehicle. 3. Design Key Points of the Design Product: Lie in the appearance and shape of the product. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

The invention discloses a low-altitude visual simulation and airport operation drilling method and system integrating real-time data, and the method comprises the steps: accessing and fusing multi-source heterogeneous real-time data and simulation model data, carrying out the standardization processing, and generating a standardized data stream under a unified space-time reference; based on the standardized data flow, high-fidelity flight simulation and airport operation deduction simulation are executed in parallel; establishing a bidirectional coupling mechanism between the high-fidelity flight simulation and the airport operation deduction simulation through preset rules and event interaction middleware according to the real-time state of the high-fidelity flight simulation and the real-time state of the airport operation deduction simulation; and based on the formed closed-loop interactive simulation environment, driving the collaborative process of low-altitude flight and airport ground operation to perform dynamic drilling, performing quantitative evaluation on drilling data of the collaborative process, and outputting a comprehensive evaluation result of collaborative efficiency, safety margin and emergency disposal efficiency. According to the invention, millisecond-level collaborative deduction and quantitative efficiency evaluation of air and ground operation in a real dynamic environment are realized.