32 results about "Virtual experiment" patented technology

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.

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 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 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.

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.

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.

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 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.

The invention discloses a 3D printing intelligent orientation method based on a virtual experiment, and belongs to the technical field of intelligent manufacturing, and the 3D printing intelligent orientation method comprises the following steps: constructing a 3D printing orientation virtual simulation environment model, constructing a part support rule module, and generating a support structure required by part 3D printing, calculating the volume of the supporting structure and the contact area between the supporting structure and the part in the corresponding part construction direction; designing a directional agent; designing a multi-objective construction direction intelligent orientation optimization reinforcement learning algorithm, and performing real-time interaction between the orientation intelligent agent and the 3D printing orientation virtual simulation environment model; and outputting an optimal part construction direction under multiple targets, printing an actual part model based on the part construction direction, and comparing the printing quality of the actual part model with the printing quality of the original part grid model. According to the invention, the size of the supporting structure required by part printing and the contact area between the supporting structure and the part can be reduced, and efficient and accurate intelligent directional optimization of the part is realized.

The invention discloses a fluid-structure interaction dynamics simulation analysis method of a nuclear reactor control rod drive line under a multi-point excitation load. The method comprises the following steps: firstly, obtaining a fluid resistance rule in a control rod falling process in advance through fluid simulation and fitting a quantitative relation; secondly, simulating incomplete elastic collision and friction between the control rod and the guide structure by adopting a contact model based on a lubrication theory; and finally, on the basis of commercial finite element software, in each step of transient dynamic analysis, calculating and applying corresponding fluid force according to the real-time motion state of the control rod to realize fluid-structure interaction simulation, and supporting an explicit time integration algorithm and an implicit time integration algorithm. According to the method, the rod dropping process can be completely and accurately simulated, the simulation process is standardized, the use complexity is reduced, and an efficient and reliable virtual experiment means is provided for safety design and performance optimization of the control rod drive wire.

The utility model provides intelligent experiment virtual simulation teaching equipment, which belongs to the technical field of virtual reality and comprises a mirror frame, a display screen adaptively mounted on the outer surface of the mirror frame, a lens fixedly mounted on the inner wall of the mirror frame and matched with the display screen for use, and a ventilation port penetrating from the outer side of the mirror frame to the inner side of the mirror frame and used for preventing water vapor from gathering in the mirror frame. And the moisture-proof mechanism comprises a protection assembly used for preventing dust from entering the glasses frame through the ventilation holes. Through cooperation of all parts in the moisture-proof mechanism, when the VR glasses body is used for a long time and the temperature is too high, the movable plate can be automatically driven to be opened, water vapor is discharged in time, lenses are prevented from being blurred due to the water vapor, and after the VR glasses body is used, the movable plate can be automatically controlled to rotate reversely to close the ventilation opening, so that the moisture-proof function is achieved. External dust is prevented from entering the inside of the glasses frame through the ventilation holes and being attached to the surfaces of the lenses, so that the effect of ensuring that the equipment performance is kept stable while ensuring that the visual field of students is clear in the virtual experiment process is achieved.

The invention discloses a virtual reality operation process adaptation method for a classroom virtual experiment, and relates to the technical field of virtual classs.The method comprises the following steps that hand posture data and operation data of a target object are obtained; performing feature analysis and template matching on the hand posture data according to a sliding window to generate a gesture candidate set, and performing time mapping on the operation data according to the gesture candidate set to generate a credibility sequence; and performing event anomaly evaluation on the operation data according to operation event segments, and performing time sequence accumulation on an event anomaly evaluation result and the gesture candidate set on the same operation event according to the credibility sequence to generate a risk accumulation curve. According to the scheme, the exception index of the operation event is matched with the preliminary matching fragment according to the timestamp, and the matching result is subjected to weighted calculation in combination with the credibility sequence, so that the risk assessment is ensured to consider the size of the operation exception and the reliability of gesture execution.

The invention discloses a material fatigue limit determination method, system and device and a computer medium, and relates to the technical field of fatigue limit testing, and the method comprises the steps: obtaining a disordered fatigue experiment data set of a to-be-analyzed material; determining initial stress; taking the initial stress as the current stress of the current path; in the disordered fatigue experiment data set, adding the sample corresponding to the current stress to the current path; increasing the current stress if the stress level of the sample corresponding to the current stress is not invalid, and reducing the current stress if the stress level of the sample corresponding to the current stress is invalid; returning to execute the step of adding the sample corresponding to the current stress to the current path and the following steps in the disordered fatigue experiment data set until the current path meeting the set path condition is obtained, and taking the current path as a virtual experiment sequence; and generating a fatigue limit result value of the to-be-analyzed material according to the virtual experiment sequence. Reutilization of disordered data is realized, and the fatigue limit of the material can be quickly determined at low cost.

The invention relates to the technical field of wisdom education, in particular to a wisdom education interactive teaching system and method, and the system comprises a multi-mode interactive collection module, an AI intelligent teaching engine module, an immersive interactive execution module, a personalized resource push module, a full-process data closed-loop module and a cross-platform compatible interface module which are in communication connection in sequence. According to the intelligent education interactive teaching system and method, the defects that an existing interactive teaching system is single in interaction form, insufficient in personalized adaptation, not closed-loop in data and poor in cross-platform compatibility are overcome, the interaction participation degree is improved, the teaching adaptation precision is improved, and the intelligent education interactive teaching system and method are suitable for various teaching scenes such as the K12 stage, higher education, vocational education and adult continued education and have good application prospects. Personalized interaction and intelligent management of all types of teaching activities such as theory teaching, exercise drilling, group cooperation, virtual experiments and project-based learning can be realized.

The invention discloses a node automatic arrangement and interconnection method, system and device based on a virtual experiment environment and a medium, and relates to the technical field of testing. The method comprises the following steps: analyzing virtual node attributes required in a test set, and calling a node configuration generation function to construct a node configuration file; according to the node configuration file, calling a virtual experiment environment API to automatically create virtual nodes in batches, and starting the virtual nodes; calling a virtual experiment environment API (Application Program Interface) to carry out Telnet automatic login, and configuring a Telnet script according to the node configuration file; determining a topological interconnection relationship of the virtual nodes according to the configured Telnet script, and calling a virtual experimental environment API (Application Program Interface) to complete wiring; the virtual nodes after wiring are utilized to execute testing; and after the test is completed, calling the virtual experiment environment API to delete all the created virtual nodes, and releasing resources. According to the invention, rapid and accurate configuration and automatic management of the laboratory topology can be realized.

The invention discloses a baijiu brewing process intelligent monitoring system based on multi-mode sensing and digital twinning, and belongs to the technical field of baijiu brewing intelligent monitoring. The method solves the problems that in the prior art, fusion perception and a virtual experiment environment for multi-dimensional data are lacked, and predictive control and self-adaptive optimization are difficult to achieve, the causal knowledge graph and the incremental updating algorithm are used for rapidly recognizing data changes and reasons thereof, only the changed data are updated, and the data change speed is greatly improved. Frequent refreshing of the whole digital twinborn model is avoided, so that the response speed and the calculation efficiency of the system are improved; when the data is identified to be abnormal, prediction is carried out through a neural network model, the influence of deviation on the subsequent brewing process is simulated in advance, an optimization control instruction is generated, and conversion from post-event correction to beforehand prevention is realized; high-quality technical support is provided for intelligent monitoring of the white spirit brewing process, and the product quality and the production efficiency can be improved.

The invention discloses a spectrometer virtual experiment platform construction method based on Cinema 4D and an unreal engine, and the method specifically comprises the following steps: S1, experiment equipment modeling: employing Cinema 4D, building various instrument virtual models needed by an experiment according to a real size, the instrument virtual models mainly comprise a spectrometer, an optical element, a power supply, a mercury lamp and a virtual experiment environment, and the virtual experiment environment of the spectrometer is obtained; the optical element comprises a double-sided reflector, a prism and a grating; s2, building a virtual experiment platform: completing the construction of an imaging calculation model and a light propagation model by using a visual blueprint of unreal engine software; s3, constructing a model relationship: constructing the model relationship aiming at the adjustment of the spectrometer, the measurement of the refractive index of the prism and the grating diffraction; the instrument can be freely observed without dead angles, and features and details of structural components of the instrument are mastered; the operation feeling is strong; and the simulation degree is high.

The embodiment of the invention provides a joint simulation cloud platform system architecture and a joint simulation method. The architecture comprises a simulation software environment, a hardware simulation platform and a joint simulation platform which are located at a cloud end. The simulation software environment comprises a plurality of pieces of simulation software accessed through a plurality of positions of the Internet; the hardware simulation platform is used for obtaining a plurality of pieces of virtual hardware through hardware simulation; the joint simulation platform is used for simulation design, the simulation is operated by utilizing the integrated simulation software, a virtual experiment is carried out on the simulation by utilizing the integrated virtual hardware, and the joint simulation platform supports a plurality of simulation interface standards. The joint simulation platform is combined with simulation software with various interface standards in the simulation software environment of the cloud to complete design and operation of joint simulation, virtual hardware simulated by the hardware simulation platform is utilized to perform virtual experiments of joint simulation, simulation and virtual experiments in multiple fields are realized, and the joint simulation platform is convenient to use and wide in application range.

The invention discloses a multi-modal three-dimensional target detection method for low-altitude airspace monitoring, and relates to the technical field of low-altitude airspace monitoring. The invention discloses a detection method. Establishing a virtual experiment environment, designing a simulation airspace, configuring an unmanned aerial vehicle model in the obtained three-dimensional cylindrical airspace, realizing concurrent autonomous flight of the unmanned aerial vehicle model through a multi-thread programming technology, and collecting multi-modal data; wherein the multi-modal data at least comprises an RGB image and Depth data; the technical key points are as follows: the method aims to solve the problems of low recognition precision, large positioning error and the like when a traditional two-dimensional detection technology is used for processing small targets, complex backgrounds, illumination changes and lack of depth information in a complex low-altitude environment; accurate monitoring of high robustness, high real-time performance and high spatial positioning precision of a low-altitude unmanned aerial vehicle target is realized, so that the safety guarantee capability of a low-altitude airspace is improved.