71 results about "Virtual experiment" patented technology

The invention relates to the technical field of fluid machinery design, and discloses a fluid machinery through-flow component intelligent design simulation system, which comprises a multi-physics field modeling module, which is used for constructing fluid mechanics, structural mechanics and heat conduction models based on preset boundary conditions and physical attributes; the intelligent optimization decision module is used for constructing and defining a through-flow performance optimization objective function; the cooperative calculation module is used for constructing a comprehensive performance evaluation model based on the candidate design parameter set; the virtual experiment feedback module is used for reconstructing a corresponding through-flow component structure model according to the multi-target evaluation result; and the scheduling control module is used for controlling algorithm path selection and computing resource allocation in the optimization process. According to the method, a method of combining multi-physics field coupling modeling and a dynamic feedback mechanism is adopted, and design parameters are continuously adjusted through simulation data fed back in real time, so that the optimization process can be dynamically updated according to actual operation conditions, and the optimization convergence speed and the overall performance are improved.

The invention discloses a high-precision multi-modal twin model assembly method based on a large language model and a multiple docking optimization mechanism. The whole system framework is composed of three modules: a database, an interaction system and human factors. Wherein the database module integrates a model library module, a user interaction data recording module and a temporary data recording module, and is used for storing and managing various data information required for constructing a virtual scene; the interactive system module is used as a core part, integrates a model dynamic loading module, a model accurate positioning module and a model adaptive assembly module, realizes instruction analysis and model generation by relying on a large language model, and combines a multi-docking optimization mechanism of eye movement tracking, gesture recognition, automatic docking and logic rule binding to realize multi-docking. Efficient and accurate interaction between the user and the database is effectively guaranteed; the method not only provides a solid foundation for virtual experiments and virtual-real symbiosis, but also significantly improves the construction efficiency and precision of digital twin model assembly.

The invention discloses an intelligent catalyst design method and system based on multi-objective optimization and deep learning, and aims to solve the problems of limitation of single-objective optimization, high computing resource consumption and the like in traditional catalyst design. According to the method, graph data are constructed by fusing atomic-scale and macroscopic features, multi-target prediction is carried out by utilizing a multi-task graph neural network (GNN), and collaborative optimization of adsorption energy and stability loss is realized by combining an NSGA-II multi-target optimization algorithm and a dynamic weight adjustment strategy of Bayesian optimization. A closed loop is verified through active learning and virtual experiments, candidate materials are dynamically selected, the model is updated, and the efficiency and precision of material design are remarkably improved. The method is suitable for rapid discovery and optimization of the high-performance catalyst, and has a wide application prospect.

The invention relates to the technical field of public management, in particular to a scene demonstration evaluation method and system for public management virtual experiment cases, and the method comprises the following steps: S1, data collection: obtaining scene demonstration data; s2, data preprocessing: generating a structured scene data set comprising space-time labels; s3, dynamic feature modeling: generating a three-dimensional feature vector; s4, feature matching: generating a feature matching matrix including case similarity, a deviation index and an optimization weight; s5, real-time evaluation generation: generating real-time evaluation parameters according to the feature matching matrix; and S6, evaluation visualization: mapping the real-time evaluation parameters into a dynamic evaluation map, and synchronously driving topological structure optimization of the virtual experiment scene. According to the invention, the scientificity, real-time performance and operability of evaluation are improved, the transparency of decision making is enhanced, resource waste or insufficiency is avoided, and the intelligent management level of the public management field is improved.

The invention provides a multi-modal fusion virtual simulation experiment teaching system, and relates to the technical field of virtual simulation, and the system comprises an information collection module which is used for obtaining the interaction information of a learner; the information fusion module is used for constructing a multi-modal input data set; the instruction analysis module is used for analyzing and generating an operation instruction sequence; the teaching intervention strategy generation module is used for generating a self-adaptive teaching intervention strategy; the teaching intervention strategy execution module is used for executing a self-adaptive teaching intervention strategy; and the learning effect evaluation module is used for quantifying the learning effect evaluation score. The technical problems that in traditional virtual simulation experiment teaching, multi-modal operation behaviors of learners are difficult to accurately capture in real time, personalized teaching intervention is lacked and learning effect evaluation is incomplete can be solved, and virtual experiment simulation and intelligent teaching intervention driven by multi-modal information fusion are achieved. And the experimental interaction experience and the learning effect evaluation precision are improved.

The invention relates to the technical field of virtual reality experiment teaching, and discloses an experiment teaching simulation method and system based on virtual reality. The method comprises the steps that a continuous behavior sequence generated by user operation is collected, and a teaching behavior chain is generated through discretization; constructing a state vector by identifying the space-time state of the behavior unit, and comparing the state vector with a standard template to mark an abnormal behavior unit; tracing the context to generate an abnormal behavior description block, and querying an error knowledge base to obtain error information; meanwhile, analyzing a state change event of the virtual experiment equipment; and finally, fusing the error information and the state event to generate a simulation teaching evaluation result. According to the method, refined multi-dimensional analysis of experimental operation behaviors and intelligent error influence quantitative evaluation are realized, and the accuracy and guidance of teaching feedback are improved.

The invention belongs to the technical field of polymer composite materials, and discloses a carbon fiber interface modifier aided design method and system based on collaborative optimization, and the method is used for designing a carbon fiber interface modifier based on collaborative optimization of machine learning and molecular dynamics simulation. By constructing a closed loop iteration process of generation-prediction-verification-learning, interfacial modifier molecules meeting multi-target performance requirements are quickly and accurately obtained under the condition that a large amount of early-stage chemical synthesis and experimental screening are not needed. According to the method, through deep combination of high-throughput prediction of machine learning and virtual experiment verification of molecular dynamics, efficient and automatic design of the interface modifier molecules is achieved, experimental synthesis and trial and error links are greatly reduced, the research and development efficiency is improved, and the method is widely suitable for design and optimization of the interface modifier molecules of the carbon fiber / resin-based composite material.

The invention discloses an interactive biological virtual experiment teaching system based on deep learning, and the system comprises a dynamic scene intelligent construction module, a multi-modal operation perception module, a real-time feedback guidance module, a comprehensive report generation module, and a self-adaptive learning optimization module. Component interaction, state simulation and parameter adaptive adjustment are supported, learning progress and difficulty data are received to realize linkage, a knowledge graph contains principle, specification, equipment characteristics and safety knowledge, staged loading, dangerous operation early warning and real-time knowledge node pushing are supported, and the knowledge graph is used for learning. The multi-mode operation sensing module integrates computer vision and sensor technologies to collect action data, identifies an operation sequence and a pre-judgment intention based on a space-time sequence model, adopts an environment adaptability algorithm to adjust collected parameters, and achieves autonomous optimization of the parameters through historical data analysis.

The invention provides a ceramic card production control method and system based on AI real-time feedback, and the method comprises the following steps: obtaining multi-dimensional production data in a ceramic card production process, and transmitting the multi-dimensional production data to a data processing center in real time for preprocessing; according to the method, multi-dimensional data are accurately collected through a sensor, data association of each link is analyzed by means of a graph neural network, an accurate scheme is generated, a model is constructed by using a digital twin module to carry out a virtual experiment to provide an optimization strategy, and the quality is predicted by relying on an AI intelligent decision model in combination with real-time data and the optimization scheme. The system automatically and quickly generates an adjustment instruction and feeds back the instruction to the equipment through edge calculation, and meanwhile, the reinforcement learning algorithm is used for dynamically scheduling the equipment to run, so that the problems of raw material errors, manual experience dependence, uneven temperature control and the like are effectively solved, and real-time dynamic adjustment in the production process is realized; the performance consistency, the quality stability and the overall quality of the product are improved, and the production requirements for high quality and high performance of the ceramic card are met.

A method for predicting the spatiotemporal state information of resources based on time series belongs to the field of entity state prediction in virtual experiments. It addresses the problems of data transmission delay and packet loss in distributed virtual experiments. The method includes: acquiring non-negative n time series state data of n variables over the first m time steps, and analyzing them to obtain N strongly correlated time series state data; processing each strongly correlated time series state data to generate an r-order cumulative generation sequence; establishing an N-order whitening differential equation based on the r-order cumulative generation sequence, and solving for the identification parameters composed of the coefficients and constant terms of the N-order whitening differential equation; then establishing the time response function of a fractional-order multivariate grey model EFMGM(1,N) at time K based on the solved identification parameters; and finally, performing cumulative subtraction to restore the time response function at time K to obtain the predicted value of the state data at time K. This invention is used for predicting the spatiotemporal state information of resources.

According to the stress analysis method and system for physics teaching provided by the invention, through integration of a parameterized virtual experiment template, physical simulation engine real-time solution, stress intelligent analysis and a multi-modal dynamic visualization technology, abstract mechanical concepts and relationships can be converted into visual, dynamic and interactive visual graphical representation and data flow; the problems that in traditional teaching, stress analysis is static and abstracted, and real-time data association and interactivity are lacked are effectively solved. The system not only can automatically and intelligently judge and mark the power or resistance attribute according to the relationship between the friction force direction and the object movement direction, vividly illuminate the dual roles of the friction force, but also can support the exploration type and collaborative learning through the synchronous and independent interaction mode of the master control and the multi-student terminal, thereby improving the learning efficiency. And meanwhile, the contrastive analysis, process recording and playback functions are provided, so that teaching explanation and knowledge consolidation are powerfully assisted, and the intuition, interactivity and teaching efficiency of physics teaching are remarkably improved.

The invention relates to the field of experiment guidance, and particularly provides a virtual experiment environment guidance information generation method and system, a terminal and a medium, and the method comprises the steps: capturing operation data of a student in a virtual experiment environment in real time to extract operation intention features, carrying out the compliance check of parameter setting, and carrying out the recognition and judgment of an equipment state and an experiment result, the method comprises the following steps: firstly, carrying out scene analysis on a scene, forming a uniform situation representation vector, carrying out rule matching through a predefined rule based on the vector, predicting and identifying operation errors, logic errors, safety violations and potential experiment risks through a machine learning model, and outputting a final diagnosis result by adopting a conflict resolution mechanism; and according to the error type, the risk level, the historical performance of the student and the learning preference, dynamically generating and outputting guidance information in a text, vision, voice or animation form. According to the invention, the accuracy and comprehensiveness of error recognition are improved, the safety protection capability of the experiment process is enhanced, and real-time and accurate guidance of student operation is realized.

The invention discloses a CFD (Computational Fluid Dynamics)-based simulation analysis method for flow and evaporation characteristics of a falling film of a microstructure vertical pipe. According to the method, a geometric model is firstly constructed, grid local encryption and independence verification are carried out, then a control equation set containing continuity, momentum, energy and component transportation is constructed, an interface phase change model based on Rankine-Hugoniot jump conditions is particularly introduced, mass and energy transfer of a gas-liquid interface is accurately calculated through a user-defined function, and the gas-liquid interface phase change control method based on the Rankine-Hugoniot jump condition is obtained. And finally analyzing the film forming characteristic, flow field distribution and evaporation performance of the liquid film through post-treatment. According to the method, the physical mechanism of the microstructure induced secondary flow and the reconstructed thermal boundary layer can be analyzed, the heat transfer enhancement effect of different microstructures can be quantitatively evaluated, and the problem that a traditional empirical formula cannot predict the microstructure enhancement mechanism is effectively solved; and a low-cost and high-efficiency virtual experiment platform is provided for the optimal design of the high-performance vertical falling film evaporator.

The application relates to the technical field of virtual reality, in particular to a virtual reality-based experiment safety training method and a training system thereof. The method is applied to a training system configured with a virtual reality device, wherein a virtual experiment environment is constructed, the virtual experiment environment comprising a virtual cleaning tool and a virtual experiment instrument; the method comprises the following steps: playing a trajectory demonstration animation of performing a virtual hand cleaning operation in the virtual experiment environment; synchronously performing a real hand cleaning operation on a real hand of a trainee in a real environment; in a process in which the trainee performs an experiment operation on the virtual experiment instrument, randomly presenting a sudden risk event and an event occurrence moment according to a preset trigger condition; collecting a position point sequence of the trainee in a training process in real time; and evaluating a risk handling capability of the trainee based on the position point sequence. The method reduces the dependence on high-precision modeling and interactive design, improves the effectiveness of experiment safety training while maintaining a low development cost and cycle.

The invention provides a building energy consumption real-time monitoring traceability evaluation method and device and electronic equipment, and relates to the field of data processing. According to the method, photovoltaic inverter, subitem load, intelligent electric meter, topology and meteorological irradiation data are collected and preprocessed to generate a unified measurement flow and topology connection matrix, a cross-layer digital twinborn body is constructed, photovoltaic, load and energy channel characteristic flow is output, a phase dislocation event is identified, and a bias loss evolution track is generated in combination with a virtual experiment. And performing causal intervention to obtain a responsibility chain and an attribution weight, outputting a governance instruction, generating a strategy effect file through translation closed-loop checking, and finally forming a visual traceability report and an operation and maintenance execution list, thereby realizing energy consumption real-time monitoring traceability evaluation. By implementing the technical scheme provided by the invention, the accuracy of real-time monitoring, tracing and evaluation of the energy consumption of the building can be improved.

The application relates to a cladding tube explosion simulation method, device, equipment, storage medium and product. The method comprises the following steps: acquiring a pressure boosting explosion experiment parameter of a cladding tube; applying a pressure load to a virtual model corresponding to the cladding tube according to the pressure boosting explosion experiment parameter, performing a cladding tube explosion simulation experiment, generating a pressure boosting explosion simulation parameter, and analyzing the pressure boosting explosion simulation parameter to generate a pressure boosting explosion simulation result. The scheme replaces the real pressure boosting explosion experiment with a virtual experiment method, simulates various working conditions of the real pressure boosting explosion experiment through corresponding various pressure boosting explosion experiment parameters, avoids waste of the cladding tube material caused by a large number of experiments in the real pressure boosting explosion experiment, reduces the cost of the pressure boosting explosion experiment, and improves the economy of the pressure boosting explosion experiment.

The application belongs to the technical field of internet distance education, and discloses a remote virtual experiment system and method combined with the internet of things, which comprises a near-end virtual reality module, a cloud-end management and analysis module and a remote internet of things experiment module; the near-end virtual reality module is used for restoring the modeling remote laboratory scene, experiment action and experiment visual data, and executing element control instructions through a control handle; the cloud-end management and analysis module is used for realizing the centralized management of the internet of things equipment, data collection, analysis and judgment of the control instructions issued to students, recording of student experiment information and judgment of experiment results; and the remote internet of things experiment module is used for realizing sensor data uploading and control instruction issuing, and controlling and identifying the action of the laboratory executing element. The application has strong experiment safety, and all instruction operations are completed through network communication, so that the action of other laboratory equipment is reduced, the safety and reliability of student experiments are ensured, and dangerous experiments are avoided.

The application provides a kind of pipe bundle convection heat transfer characteristic test experimental system and experimental method based on digital twinborn technology, belongs to pipe bundle convection heat transfer characteristic test field.For solving the problem that students are difficult to intuitively analyze the movement of fluid and heat transfer process in the existing heat transfer experiment teaching, it is difficult to deeply understand the complex relationship between heat transfer and fluid mechanics, and the experimental operation and data acquisition function are not intelligent and efficient enough.A virtual and real digital twinborn experiment system is constructed, the virtual twinborn model is continuously optimized through real-time data interaction, the model accuracy and reliability are improved;Compared with the traditional virtual experiment system, the authenticity and reliability of the application are higher;Temperature, pressure field monitoring function can be realized in the area where sensors are difficult to arrange in the structure of pipe bundle heat exchanger, whether there is overtemperature and overpressure can be found in time;And to a certain extent, the temperature and pressure distribution of the system at future time is calculated, the advanced prediction and early warning function is realized to prevent equipment damage or cause safety accidents.

The invention provides an experiment simulation method and system based on MediaPipe and virtual reality, and relates to the technical field of image recognition, and the method comprises the steps: carrying out the rendering of a 3D model through a Unity engine, and constructing a virtual experiment scene and experiment equipment; a gesture image of a user is collected, and mapping of the gesture image is adjusted through three-dimensional calibration; performing spatial component conversion on the gesture image, and preprocessing the gesture image to obtain an initial image; using a MediaPipe model to identify the hand key points, and correcting the position coordinates according to the position relation of the hand key points; the data information of the key points of the hand is deeply packaged and transmitted to a Unity engine through a UDP communication protocol to analyze and simulate hand action demonstration, and the technical problems that in the prior art, a traditional virtual experiment needs special wearable equipment or a handle to be achieved, operation is difficult, and the equipment cost is high can be solved.

The invention provides a full-scene interactive middle school physics virtual experiment teaching system. The system comprises a core experiment simulation module, the module utilizes a physical engine, a three-dimensional modeling technology, a virtual reality technology and an image and sound processing technology, a physical experiment process can be reproduced truly, a correct result can be provided for correct operation of students, and phenomena conforming to a real experiment can be presented for wrong operation; and a matched experimental data processing module supports acquisition, analysis and result presentation of experimental data. The system also integrates comprehensive teaching management functions of user management, course management, experiment management, teaching condition statistics, authority management and the like. On the basis, students can carry out high-quality experiments in a safe and convenient virtual environment, and understanding of physical theories is deepened through operation by themselves; meanwhile, the dependence of schools on entity laboratories and equipment is effectively reduced, the utilization efficiency of teaching resources and the flexibility of teaching are improved, and a powerful auxiliary tool is provided for physics teaching.

The present invention belongs to the technical field of footed robots, and specifically relates to a tactile-based robot foot ground compliance control method. The present invention includes the following steps: S1. Building a foot motion simulation platform; S2. Setting a mechanism for simulating the movement of the foot robot's legs and feet and a plantar pressure sensing system on the simulation platform; S3. Collecting and analyzing tactile information during the actual plantar compliance process of the plantar robot; S4. Constructing a control algorithm system based on deep reinforcement learning; S5. Establishing a mapping relationship between the virtual experiment and the real environment. By setting a number of simulated small balls to simulate the sensor points on the plantar of the actual plantar robot, the dynamic changes of tactile information during the movement of the robot arm are characterized. Then, the simulated control data is obtained through the control algorithm system based on deep reinforcement learning. The actual plantar robot is dynamically adjusted to its compliance posture through the mapping relationship, thereby achieving the completion of the plantar compliance task between the plantar robot and the ground, and autonomously adapting to the actual environment based on tactile information.

The invention relates to the technical field of virtual simulation teaching, in particular to a teaching device and method based on virtual simulation. The invention discloses a teaching device and method based on virtual simulation, the teaching device comprises a hardware module, a software system and a data interaction module, the hardware module, the software system and the data interaction module realize real-time data transmission through a communication protocol, and the hardware module comprises an immersive display unit, an interactive operation unit and a calculation and storage unit; the data interaction module comprises an equipment communication interface and a cloud collaboration interface, the calculation and storage unit comprises a touch display screen, a placement frame is arranged on one side of the touch display screen, and an immersive display unit is arranged on the touch display screen. A chemical experiment is simulated through a virtual environment, safety risks are avoided, teaching cost is reduced, the problem that chemical experiment conditions are limited is solved, and a virtual experiment resource library can be updated and supplemented in real time according to teaching requirements through a software system and a data interaction module to meet the teaching requirements of schools in different regions and different levels.

Method for producing an experimental substrate (50) designed as a sample holder for microscopy applications, comprising the steps: a) Selecting a virtual base substrate in a virtual environment based on given experimental parameters; b) selecting at least one virtual functional element and arranging the at least one virtual functional element in the virtual environment relative to the virtual base substrate to create a virtual experimental substrate in the virtual environment, wherein the at least one virtual functional element is at least partially specified in the virtual environment; c) providing a real, prefabricated basic substrate (26) corresponding to the virtual basic substrate and providing at least one real, prefabricated functional element (30) corresponding to the virtual functional element in a 3D printer (14); d) printing the experimental substrate (50) by means of the 3D printer (14) using the real basic substrate (26) and the at least one real, prefabricated functional element (30) according to the virtual experimental substrate (50) in the virtual environment such that the real basic substrate (26) and the at least one real, prefabricated functional element (30) form the experimental substrate (50) as a structural unit, further comprising a selective application of at least one real experimental substance in and / or onto the experimental substrate (50) such that the at least one real experimental substance is at least partially surrounded by the real, prefabricated base substrate (26) and / or by the at least one real, prefabricated functional element (30), further comprising a virtual arrangement of at least one virtual experimental substance in and / or on the virtual experimental substrate in the virtual environment, wherein the virtual arrangement of the at least one virtual experimental substance takes place during and / or after step b) and before step c), and wherein the selective application of the at least one real experimental substance takes place during and / or after step d).

The present application relates to a kind of bactericide bactericidal performance evaluation method and evaluation system, belong to the field of oil engineering application technology.The bactericide bactericidal performance evaluation method of the present application, the basic skeleton of bacterial membrane is constructed by coarse-grained molecular dynamics method in nanometer space scale with phospholipid bilayer, and the choline group and phosphate group of head group make the surface of bacteria positive and negative, bactericide is adsorbed to the surface of bacteria by interacting with the charged group on the surface of bacteria, by comparing the binding energy of bactericide and bacteria, whether bactericide can be stably adsorbed on the surface of bacteria and hinder the normal metabolism of bacteria, and finally kill bacteria can be evaluated.The bactericide bactericidal performance evaluation method of the present application does not need to pass through traditional experiment, and is evaluated using computer "virtual experiment", is not limited by experimental condition, is high in efficiency, is strong in repeatability, result is reliable, is conducive to the rapid design and research and development of bactericide for oil field chemical.

The present invention provides an experimental simulation method and system based on MediaPipe and virtual reality, relating to the technical field of image recognition. The method includes: rendering a 3D model through the Unity engine to construct a virtual experimental scene and experimental equipment; collecting the user's gesture images and adjusting the mapping of the gesture images through three-dimensional calibration; performing spatial component conversion on the gesture images and preprocessing the gesture images to obtain initial images; using the MediaPipe model to identify hand key points and correcting the position coordinates according to the positional relationship of the hand key points; deeply encapsulating the data information of the hand key points and transmitting it to the Unity engine through the UDP communication protocol for parsing and simulating hand movement demonstrations. The present invention can solve the technical problems in the prior art that traditional virtual experiments require special wearable devices or handles to implement, and are difficult to operate with high equipment costs.

The invention relates to a virtual test logic model construction method. The method comprises the following steps: step 1, constructing logic elements; 2, constructing a logic unit; and 3, constructing a logic model. According to the technical scheme, the construction process of the virtual test logic model is standardized, organic integration and flexible cooperation of multiple elements in the virtual test logic model are achieved, and the expansibility and reusability of the model in a complex and dynamic test scene are improved.

This invention relates to the field of virtual reality technology, and more particularly to a method and system for basic medical virtual experimental teaching. The method includes constructing a physiological digital twin model; achieving real-time bidirectional coupling of macroscopic and microscopic physiology through a dynamic simulation engine; compiling trainee operations based on force feedback devices and providing interaction; utilizing a knowledge graph to trace errors and create competency profiles for the operations, and generating personalized feedback. This invention significantly improves the physiological fidelity and teaching relevance of virtual experiments.

The invention discloses a curriculum editing system and curriculum creating method for online teaching, the curriculum editing system comprises a curriculum structure design module, a teaching resource library module, a rich media editing module, an intelligent auxiliary module and a real-time preview publishing module, the curriculum structure design module provides a visual interaction interface, and therefore the visual interaction interface can be displayed on the teaching resource library module. A rich media editor and a full-type resource library are in deep linkage, teachers can call materials without cross-platform switching, the editor supports creation and parameter configuration of complex components, the limitation that only basic images and texts can be embedded is broken through, the complex teaching scene requirements of interactive courseware, virtual experiments and the like are met, an exclusive teaching logic rule library is built in the system, and the teaching effect is good. By analyzing data such as course structures and content distribution, structure adjustment suggestions and component recommendations fitting teaching laws are output, personalized design can be adapted in combination with learning conditions, and the problems of logic confusion and key fuzziness are avoided.