98 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 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 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 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 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.

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 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.

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.

The invention provides a physical interactive simulation method and system for power grid equipment under an intelligent framework. The method comprises the following steps: acquiring operation data of power grid equipment through a sensor cluster in a physical layer, and transmitting the acquired operation data to an intelligent decision-making layer, so that the intelligent decision-making layer decomposes the operation data into first input data and second input data in time according to the demand of a simulation result, and then, sending the first input data and the second input data to the physical layer; and calling a corresponding hardware real-time simulation resource area or a software delay resource area in the interactive simulation layer to execute corresponding simulation operation, thereby performing simulation operation on different physical states of the power grid equipment through a heterogeneous resource dynamic scheduling architecture driven by an aging demand. According to the method, the timeliness requirement for physical transient simulation of the power grid equipment can be met, the accuracy requirement for physical steady-state simulation of the power grid equipment can also be met, operation resources are fully utilized, and the overall response efficiency of the system is improved.

This invention belongs to the field of intelligent training technology in the pharmaceutical industry, and provides a non-contact virtual-real interactive simulation system and method for GMP drug production. It includes: a login authentication module for authenticating trainees' identities based on the virtual-real interactive simulation platform; after successful authentication, trainees can select a training mode; a startup module for activating a motion capture module and a real-time evaluation module after the virtual-real interactive simulation platform detects the selected training mode; a recognition module for capturing and recognizing trainees' actions in real time based on the motion capture module, and synchronizing with the virtual scene of a high-fidelity drug production line model in the training mode to obtain virtual environment feedback; a compliance judgment module for determining whether the trainee's operational compliance based on the virtual environment feedback exceeds a preset compliance level based on the real-time evaluation module; and a report generation module for recording training data under virtual environment feedback and generating an evaluation report stored in a database. This improves training efficiency.

The invention discloses an interactive simulation system for oral care teaching and an evaluation method, and belongs to the technical field of digital medical treatment and virtual reality. The method includes: constructing an oral care space having a plurality of voxels and assigned an initial cleaning demand value; acquiring dynamic state data of the nursing tool in real time, wherein the dynamic state data comprises a position, a motion vector and applied pressure; constructing an intention guide potential field representing the user operation intention based on the motion vector, and constructing a contact action potential field representing the contact cleaning intensity based on the applied pressure; the two are fused into a collaborative cleaning potential field; updating the cleaning state of each voxel based on the cumulative effect of the collaborative cleaning potential field over time; and finally, based on the spatial and temporal distribution characteristics of the collaborative cleaning potential field and the final cleaning state, generating a comprehensive evaluation report. By constructing the collaborative cleaning potential field model, the technical problem that only the cleaning coverage can be evaluated and the operation process and skill cannot be deeply analyzed in the prior art is solved.

The invention discloses an unmanned flight platform flexible obstacle active crossing method and a related device, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: building a flexible obstacle interactive simulation environment based on a physical engine; in a flexible obstacle interactive simulation environment, taking a visual data flow and a state data flow of the unmanned flight platform as input, taking a motor accelerator instruction as output, and training a cascade deep neural network model based on a near-end strategy optimization algorithm; driving a sensor interface through an ROS system to obtain real-time vision and state data, inputting the real-time vision and state data to the trained cascade deep neural network model, and generating a motor control instruction; and determining an active crossing strategy of the unmanned flight platform according to the motor control instruction. The problems of extra load and pneumatic interference caused by a traditional protection device can be avoided.

The invention discloses a digital intelligent simulation method for a hydroelectric generating set speed regulating system based on hydroelectric-mechanical coupling, and aims to solve the problems of low hydroelectric-mechanical coupling degree, poor controllability of a simulation tool and insufficient consideration of a water hammer effect in traditional simulation. The method comprises the following steps: establishing a hydraulic electromechanical coupling model containing hydraulic power (simulating hydraulic transient by a characteristic line method), machinery (a T-S fuzzy model self-defined speed regulator) and electricity (PSS / E tidal current + generator equation); constructing a load flow calculation interface layer for secondary development of a PSS / E Fortran API, and integrating intelligent algorithm modules of GSA, DEPSO and BP neural networks; carrying out real-time interactive simulation and optimizing PID parameters of the speed regulator; and verifying dynamic characteristics of the model based on a water hammer effect analytic solution. The method realizes hydroelectric-mechanical-electrical deep coupling, improves simulation controllability and precision, adapts to unit debugging and power grid dispatching verification, and ensures safe and stable operation of the hydroelectric generating set and the power grid.

The invention discloses a non-signalized intersection intelligent early warning system based on digital twinning, and the system comprises the following steps: a traffic perception data collection module which is used for collecting data in an intersection region; the digital behavior twin modeling module is used for constructing a digital behavior twin model; the conflict risk optimization module is used for introducing a role switching mechanism into a lion group optimization algorithm to generate a behavior strategy candidate solution set; the role division and switching management module is used for dividing a population role structure; the behavior adjustment mapping module is used for mapping the optimal strategy vector into a micro-behavior adjustment instruction set; the simulation verification and scoring module is used for executing an interactive simulation process; the early warning generation and classification module is used for constructing an early warning information object set; the edge communication scheduling module is used for executing target matching and path selection; and the terminal pushing and feedback module is used for pushing the issuing instruction set to the terminal and recording an issuing response state. According to the invention, intelligent early warning control of the non-signalized intersection is realized.

The application discloses a kind of based on aquifer analysis surface and groundwater interactive simulation method and system, it is related to surface and groundwater interactive simulation technical field.A kind of based on aquifer analysis surface and groundwater interactive simulation system, including data acquisition module, data processing module, aquifer analysis module, model simplification module, interactive simulation module and resource management module.The present application is by to the high-resolution data in preprocessed surface data and underground data is carried out data sampling, not only can in the key information in data, to ensure that the precision of model is not significantly influenced with significantly reducing the data amount needing to be handled, to reduce calculation complexity and amount of calculation and improve the calculation efficiency and operating efficiency of model, also can help model better handle noise and abnormal value and reduce the overfitting risk of model, to improve the robustness and generalization ability of model and performance and reliability in practical application.

The utility model relates to a parent-child interactive interesting toy for simulating supermarket cashier, which comprises a base provided with a cashier drawer; the analog display is fixed on the upper side of the base and comprises a display main body and an analog display screen, and an analog card swiping slot and an analog coin slot are formed in the side edge of the display main body; the code scanning gun is connected with the display main body and is provided with a key and a gun head sensing area; the display body is provided with a microphone, the microphone is connected with the display body, the display body is provided with a corresponding loudspeaker, through multiple function settings, a real supermarket cashier scene is highly simulated, the interestingness and interactivity of children games are increased, improvement of the cognitive ability and social ability of children is assisted, and meanwhile the parent-child relationship is enhanced.

This invention discloses a decision-making system for optimizing mandarin fish feed formulation based on the evaluation of disintegrant application. Specifically, it relates to the fields of feed additive application and feed formulation optimization, addressing the problem in existing mandarin fish feed development where the evaluation of the dynamic effects of disintegrants and the design of nutritional formulations are disconnected, leading to inefficient and experience-based optimization relying on trial and error. The system collects dynamic physical characteristics and static nutritional economic data through a data acquisition module; establishes fusion constraints through a conditional fusion module; analyzes component interactions and predicts dynamic characteristics through an interactive simulation module; corrects the prediction results based on water parameters through an environmental correction module; and finally, a grading and screening module and a formulation determination module perform grading and screening based on priority, automatically outputting the optimal formulation. This system achieves systematic, precise, and efficient optimization of mandarin fish feed formulations containing disintegrants, significantly improving the feed's practical effect and acclimatization success rate.

The invention provides a three-dimensional scene construction method and device, electronic equipment, a storage medium and a product, and the method comprises the steps: carrying out the scene understanding of a three-dimensional scene, and obtaining the image information and text information of a plurality of object model nodes; performing feature extraction on the image information and the text information of each object model node to obtain a vector matrix of each object model node; based on the similarity between the vector matrixes of any two object model nodes, performing clustering analysis on the object model nodes to obtain a plurality of clusters; and for each cluster, on the basis of the physical attributes of the target object model nodes with the physical attribute characteristics in the cluster, speculating the physical attributes of other physical model nodes without the physical attribute characteristics so as to complete three-dimensional scene construction. According to the method, the physical attributes of other object model nodes without physical attributes can be accurately speculated, and the method is used for a robot simulation platform application scene in which large-scale object models with physical attributes are needed to carry out operation interactive simulation.

The invention discloses a cockpit layout design and evaluation method, computing equipment and a computer readable storage medium, and the method comprises the steps: constructing a digital model of cockpit layout, and obtaining a human body model matched with the features of a target user group; importing the digital model and the human body model into a simulation platform for interactive simulation, and outputting corresponding simulation data; importing the digital model into a virtual reality environment, and collecting multi-dimensional interaction parameters of a target person and a cockpit in combination with an interaction device and a capture device; according to preset airworthiness regulations and terms and evaluation standards, the simulation data and the multi-dimensional interaction parameters are comprehensively analyzed, and a conformity evaluation report is generated; and performing a simulation test on the key area in the cockpit layout, verifying the rationality of the conformity evaluation report, outputting a final evaluation report, and performing iterative optimization on the cockpit layout according to the final evaluation report. Therefore, the assessment result of the cockpit layout is more accurate, and the overall design efficiency of the cockpit is improved.

The invention provides a virtual quality inspection industrial robot machine interactive simulation communication method and equipment, and the method comprises the steps: transmitting a configuration information request for obtaining a quality inspection industrial robot to a server through a main business environment, and enabling the server to issue corresponding assembly installation relation information and a model file to the main business environment based on the configuration information request of the server; the main business environment sends the component installation relation information and the model file to a virtual simulation environment, and the virtual simulation environment completes the construction of a virtual industrial quality inspection robot based on the component installation relation information and the model file; and the main business environment performs corresponding simulation interaction based on the acquired operation related information request, and transmits the result information of the simulation interaction to the main business environment, the server and the client, so that the problems that the number of real machines of the quality inspection industrial robot is limited and technicians need to queue for use can be solved, and the quality inspection efficiency is improved through the virtual industrial quality inspection robot. And the testing frequency of the quality inspection industrial robot in the development process is improved.

The utility model belongs to the technical field of automobile models, and discloses a voice interactive simulation automobile model. The automobile model comprises an automobile body, an automobile door, a voice controller and a door driving part, the automobile door is slidably arranged on the side portion of the automobile body, the voice controller is located in the automobile body and electrically connected with the door driving part, the door driving part is in transmission connection with the automobile door, and the voice controller can receive voice signals and control the door driving part to drive the automobile door to slide on the automobile body. According to the voice interactive simulation automobile model, the automobile door can be opened or closed without manual operation in a voice control mode, so that the use complexity is reduced, and better convenience is brought to people. The vehicle door is controlled to be opened or closed in a voice input mode, the use experience rich in science and technology is provided for a user, the expressive force and the visual effect are improved, and the market attraction and competitiveness are greatly enhanced.