54 results about "Virtual experiment" patented technology

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.

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 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 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.

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 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.

The invention provides a universal artificial intelligence system for predicting new substances. The universal artificial intelligence system comprises a mass data acquisition module, a data preprocessing module, an element embedding representation module, a feature construction module, a prediction modeling module, a model interpreter module, a model evaluation module, a self-adaptive optimization module, a virtual experiment module and an interactive user interface module. Through cooperative work of the modules, the system can efficiently predict physicochemical properties of new substances, provide interpretable model decisions, and support user customization and optimization. The system further comprises a data integration and management module and a security and authority management module, so that the integrity and security of the data are ensured. The method can be widely applied to the fields of new material research and development, alloy design, compound synthesis and the like, and has remarkable industrial practical value.

A method for iteratively generating a matrix of base elements that includes forming at least one base matrix, applying modification operators iteratively, which are able to transform the base matrix or any matrix arising therefrom into a modified matrix, applying expansion operators iteratively, which form a larger matrix from a plurality of optionally modified smaller matrices from the preceding iteration by copying, rotation or reflection by virtue of parts of the larger matrix being filled with the optionally modified smaller matrices, performing virtual experiments within the scope of which the properties of a created matrix are examined by systematic creation of values deliberately containing errors from which an error signal is derivable, and in order to create a complex matrix, forming all permutations of next larger matrices by applying expansion operators and then evaluating by means of virtual experiments, the next larger matrices selected with the smallest error signals, and then forming the next larger matrices successively therefrom by applying expansion operators and evaluating by means of virtual experiments until the error signal drops below a given limit.

The invention discloses an integrated die-casting mold temperature intelligent control method and control system, and the method comprises the steps: in a first stage, simulation prediction and priori knowledge base construction: S101, parametric modeling; s102, virtual experiment design is carried out; s103, constructing a'mold temperature-deformation 'response surface model; s104, establishing an initial optimization process library; in the second stage, production online learning and closed-loop fine tuning are carried out, specifically, S201, mold temperature initial parameter loading and production are carried out; s202, on-line detection and data association are carried out; s203, carrying out model calibration and hybrid optimization; and S204, performing closed-loop control. According to the method, the key deformation deviation of the die casting finished product is detected on line, the expected deformation deviation of simulation prediction is compared based on the data, and the die temperature field is dynamically optimized and reversely adjusted through the machine learning algorithm, so that high-consistency control over the size precision of the integrated die casting is achieved.

This invention discloses a virtual experimental scene generation system and method for a simulated laboratory, including a natural language interaction module, an experimental step generation module, a virtual experimental scene generation module, and a data support module. The method includes: Step 1, requirement input and parsing; Step 2, experimental step generation; Step 3, virtual scene generation; Step 4, virtual scene optimization. This invention parses requirements through the natural language interaction module, and the experimental step generation module, in conjunction with the data support module, automatically generates and verifies experimental steps, reducing the professional requirements and avoiding overlooking key experimental details. The model adaptation subunit can automatically generate a replacement model when a model is missing, eliminating the need for manual modeling and improving construction efficiency. When modifying the experimental scene, feedback can be provided through the natural language interaction module, and the system can automatically adjust the model, interaction rules, and dynamic effects in conjunction with various modules without manual redefinition, significantly improving the construction efficiency and adaptability of virtual experimental scenes.

The invention provides an intervention method, device and equipment for a virtual experiment. The method comprises the following steps: acquiring operation data of a user in the virtual experiment; according to the operation data, determining a logic risk and a cognitive risk of the user in the virtual experiment operation; and determining intervention measures according to the logic risk and the cognitive risk. According to the method provided by the embodiment of the invention, the illegal operation in the user operation sequence can be effectively identified, the understanding defect of the user on the experiment principle can be accurately positioned, and the accuracy and pertinence of intervention measures are effectively improved.

A digital twin of an EUV photolithography workflow determines a patterning performance of an EUV photolithography process. The digital twin includes an EUV exposure model, a bake model coupled to the EUV exposure model, and a development model coupled to the bake model. The digital twin receives inputs related to photons used in EUV exposure, a material of the EUV resist, and processes used in bake and development. Using a semi-empirical kinetic Monte Carlo framework, the digital twin can predict patterning outcomes of the EUV photolithography process.

The invention relates to the technical field of image recognition, in particular to an aggregate three-dimensional morphological feature analysis method and system based on laser scanning, and the method comprises the steps of data intelligent collection, three-dimensional point cloud data intelligent preprocessing, morphological feature parameter calculation, intelligent analysis and association and application. In the prior art, morphological analysis, virtual experiment and performance prediction of aggregate are generally regarded as relatively independent links, or only forward prediction from process, material to performance can be carried out, and closed-loop analysis cannot be formed; according to the method, on the basis of analyzing the aggregate accumulation characteristics through a virtual compaction experiment, a double-prediction model architecture is introduced, the raw material ratio is reversely deduced from morphological characteristics and the process through the first prediction model, and the process parameters are inversed through the second prediction model in combination with morphological and raw material information; and finally, inputting all the features into a performance prediction model for comprehensive performance prediction. And unprecedented deep analysis capability is provided for aggregate quality diagnosis, production process optimization and performance customization.

The invention provides a digital twin modeling method and system for family education based on a knowledge graph. The method comprises the following steps: acquiring multi-modal teaching resource data and an education scene type identifier, and constructing a full-scene education knowledge graph; the method comprises the following steps: acquiring a hand movement track of a learner and pose data of a virtual experiment device through virtual simulation equipment, generating comprehensive movement characteristic parameters, and constructing a virtual scene physical engine for mapping physical experiment operation; generating an experimental knowledge base in combination with the knowledge graph and the type identifier; constructing a reinforcement learning body according to the engine parameters, and generating an adaptive optimal experiment operation sequence in combination with the type identifier and the knowledge base; semantic association is established between the sequence and experimental principle nodes, the experimental ability sub-graph is updated through a space-time attention mechanism, and a digital twinborn model reflecting the operation ability of the learner is formed. According to the technical scheme provided by the invention, the effect of virtual experiment teaching in family education is improved.

The invention discloses a virtual simulation experiment method for schematic diagram design of a hydraulic system. The virtual simulation experiment method comprises the following steps: (1) analyzing and confirming a basic loop needing to be designed according to design requirements; (2) designing and simulating an oil supply loop; (3) designing and simulating a speed regulation loop; (4) designing and simulating a reversing and rapid motion loop; (5) designing and simulating a speed change-over loop; (6) drawing a schematic diagram of the hydraulic system; (7) designing and simulating an electromagnet action control circuit; and (8) performing experimental evaluation. The method is particularly emphasized to cultivate the comprehensive evaluation ability required by the engineering decision of students, break through the teaching mode of a single standard solution, and provide the practice opportunity of multi-scheme parallel design and comparison. And the inherent problems of high equipment cost, high construction risk, limited student participation degree and difficult observation of oil flow direction and element action of the traditional experiment can be effectively avoided, and an interactive virtual experiment method is provided for the schematic diagram design experiment teaching of the hydraulic system.