7 results about "Virtual experiment" patented technology

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 application provides a thickener underflow automatic regulation and control method based on a hysteresis switch model, and relates to the technical field of ore dressing automation and industrial process control. The method collects pool bottom multi-point pressure signals and averages them according to the sensor representative area to reconstruct the full bed equivalent pressure, so as to eliminate single-point measurement distortion and reflect the global load. A multiphase flow numerical model is established in a parameter optimization workstation, the hysteresis logic is embedded into a solver to perform virtual experiments, and the control parameters are determined based on stability indexes such as the variation coefficient, drift degree and confidence interval. In the online operation, the system switches among the discharge, retention and pressure maintaining states under the constraint of the rake frame torque safety interlocking, generates the target underflow velocity and maps it into the frequency command of the variable frequency pump or the opening command of the electric regulating valve. The application solves the regulation oscillation and frequent start-stop problem of the traditional control algorithm in the long lag system, realizes the super-steady output of the underflow concentration and effectively prevents the pressure rake accident.

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.

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 present disclosure relates to a compounding system and a method of determining a feed to an extruder of such compounding system. The compounding system includes a hardware part and a virtual experimentation part. The hardware part includes one or more extruders to to obtain a mixture extrudate. The virtual experimentation part includes a trained machine learning model trained with training data of material properties of recycled polymer compositions, material properties of virgin polymer compositions and material properties of mixture extrudates obtained by mixing the recycled polymer compositions and the virgin polymer compositions. The machine learning model receives, during extrusion, material properties of the recycled polymer composition in the extruder and is arranged to generate, in response to processing said input properties, a recommendation of a virgin polymer composition to be fed to the extruder to obtain the mixture extrudate having desired material properties.