21 results about "Physical phenomena" patented technology

Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and / or frequency domains. These systems may be additionally responsible for charging and / or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and / or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

The invention discloses a method for predicting shock waves through a multi-region conservation enhanced physical information neural network, and belongs to the field of flow field prediction of shock waves and strong nonlinear physical phenomena in high-speed flow, and the method comprises the steps: S1, carrying out numerical simulation through fluid dynamics software to obtain a reference flow field solution of a to-be-solved N-S control equation, the verification module is used for verifying a model solving result; s2, constructing a neural network comprising an integral layer, a micro-layer and a loss function error layer; s3, constructing a physical information neural network; s4, training is carried out after physical information neural network training parameters are set, and whether a convergence standard is met or not is determined by constructing a joint loss function corresponding to the physical information neural network; and S5, applying the trained neural network model to shock wave prediction of high-speed flow field simulation under different working conditions. Through the multi-region local conservation constraint, the width of the shock wave transition region is effectively compressed, so that the relative error of the physical quantity is obviously reduced compared with the existing method.

Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and / or frequency domains. These systems may be additionally responsible for charging and / or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and / or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

The application discloses a rotary kiln multi-physical phenomenon numerical simulation method based on artificial intelligence reasoning, relates to the technical field of rotary kiln multi-physical phenomenon simulation, and is based on the Euler multiphase flow equation, adds a heat transfer model, a chemical dynamics reaction model, a particle growth model, a chemical reaction model and the like, establishes a three-dimensional numerical model capable of accurately simulating the multi-physical and chemical phenomena such as the gas-solid two-phase flow movement, combustion, NOx generation, clinker calcination and particle growth in the rotary kiln, introduces a long short-term memory neural network to build an AI model, uses the AI model to predict the latter half of the working condition, accelerates the simulation speed, and realizes long-time simulation of the rotary kiln.

The invention discloses a supersonic cascade flow field reconstruction method fusing a transfer learning theory and adaptive dynamic physical partitioning, and belongs to the technical field of fluid mechanics numerical simulation and machine learning. According to the method, through a physical partitioning strategy, the problem of feature learning fragmentation caused by lack of physical logic in pure data partitioning is avoided; by means of modularized cooperative training of a shared feature extractor and a partition adapter, the defect that a global model is insufficient in local difference learning is overcome, and redundancy of repeated learning of universal features when partition models are independently trained is avoided; in the prediction and iterative optimization link, through automatic verification and backtracking adjustment, the defects of high manual intervention cost, non-physical phenomenon of a prediction result and large local partition error are avoided, and finally efficient, accurate, physical and reasonable prediction of high-precision data is realized.

This invention discloses a scaled-down model simulation system and method for oil-immersed transformers based on similarity theory, comprising: S1 determining the transformer model and structural parameters required for multiphysics analysis, as well as the similarity ratio of the scaled-down model for simulating physical phenomena; S2 determining the eddy current field control equations adapted to the transformer's electromagnetic field using Maxwell's equations, and deriving the eddy current field similarity criterion based on similarity theory; S3 determining the energy conservation similarity criterion based on the energy conservation equation; S4 determining the momentum conservation similarity criterion based on the momentum conservation equation; S5 determining the convective heat transfer similarity criterion based on convective heat transfer boundary conditions; S6 determining the heat flow compensation principle by integrating various similarity criteria, performing temperature-fluid field simulation, and comparing the simulation results with those of the original structural model and prototype experimental results. This invention is computationally simple, highly accurate, and efficient, and can be well applied to engineering practice.

This invention discloses a method for determining the non-perfect similarity ratio based on the classification similarity law. The method includes the following steps: S1, extracting a set of parameters describing the physical phenomenon based on experience, previous experimental results, literature, and data; S2, dividing the parameter set into key parameters, basic parameters, and derived parameters; S3, obtaining the similarity ratio of the basic parameters using measurement, material property testing, and other means; S4, deriving the similarity ratio of the derived parameters based on the similarity ratio of the basic parameters; S5, introducing constraint equations based on the physical relationship between the key parameters and the basic and derived parameters to construct a similarity ratio constraint equation; S6, substituting the similarity ratios of the basic and derived parameters into the similarity ratio constraint equation to solve for the similarity ratio of the key parameters. This method, by introducing constraint equations to construct similarity relationships, can effectively reduce scaling errors under non-perfect similarity conditions and is applicable to various scaling test scenarios such as open-loop and closed-loop tests.

Provided herein is a system and method for monitoring, troubleshooting, and providing predictive maintenance to pumps systems. The methods provided herein can utilize and / or interpret physical phenomena of pump systems and components thereof. The physical phenomena may include, but is not limited to, vibration, temperature, sound, or similar characteristics. Further, a cloud-based system can collect data from autonomously operated systems, to provide visualizations of collected data via a user interface, and analyze the collected data with various models to predict maintenance, determine optimizations, and facilitate troubleshooting of the systems.

The present disclosure provides a multi-geometry space adaptive visual language modeling system for astronomical simulation. A two-stage training strategy is adopted to receive external images and user queries. First, the external images are input into a multi-geometry space prompt generation module, and the spatial features P E , H , S of three spatial geometry priors of Euclidean, hyperbolic and spherical are output. The spatial features are input into a multi-modal astronomical data input and alignment module together with the user query. After vector splicing, the input is input into a geometry adaptive backbone module, and finally the corresponding numerical value and reply are output through an astronomical task intelligent inference and output module. By integrating the representations of multiple geometry spaces such as Euclidean, spherical and hyperbolic into the visual language model architecture, the defects of existing visual language models that cannot handle complex astronomical physical phenomena due to their limitation to Euclidean space are effectively solved.

A system and method for simulating multiple dynamic flows involving movement over time, for example, of water and other fluids, air or wind, fire, or the like, is disclosed. The system and method are a visualization and simulation platform designed to create and execute an approach using deep-learning, computer vision, image processing, and artificial intelligence for predicting all manners of dynamic physical motion over time. The visualization and simulation system is configured to quickly model and predict dynamical physical phenomena including, but not limited to, movement of water or air flow or fire in any topography. The visualization and simulation system predicts flooding behavior patterns in “known” geographical domains (regions and / or areas where the deep-learning system has been explicitly trained on) as well as “unknown” geographical domains (regions and / or areas where the deep-learning system has not been previously exposed or trained on) by providing time-dependent two-dimensional hydrodynamic flooding predictions.

The invention discloses an ultrasonic bonding parameter dynamic regulation and control method based on finite element simulation, and the method comprises the steps: building a multi-physics coupling bonding process simulation model through finite element simulation analysis software in a finite element simulation pre-training stage, considering the key physical phenomena, such as ultrasonic vibration propagation, thermal coupling, etc. Parameterized simulation is carried out by combining orthogonal experimental design and a response surface method, and a quantitative mapping relation and a simulation database of process parameters-quality indexes are constructed. The real-time dynamic regulation and control system constructs a multi-closed-loop cooperative control system of real-time monitoring, simulation prediction and dynamic adjustment, collects data in real time, compares the data with a predicted value of a database, and automatically generates a parameter adjustment scheme when a target is deviated. The method can reduce resource consumption, improve the consistency, stability and reliability of bonding quality, reduce the reject ratio and improve the production efficiency, and can be popularized to other similar connection processes.

The embodiment of the invention discloses an electromagnetic simulation model calibration method and device, a storage medium and a program product. The method comprises the following steps: identifying uncertain parameters in an electromagnetic simulation model and forming an uncertain parameter set; inputting the initial value of each uncertain parameter into the electromagnetic simulation model to obtain an electromagnetic simulation result, and obtaining posterior distribution in combination with the initial prior distribution and the initial value of the uncertain parameter set; solving the posteriori distribution to obtain approximate posteriori distribution and an updated value of each uncertain parameter; obtaining a new electromagnetic simulation result based on the updated value; performing performance evaluation on the electromagnetic simulation model based on the new electromagnetic simulation result; and when the electromagnetic simulation model does not reach the standard, taking the approximate posteriori distribution as the prior distribution of the next iteration, and continuously performing performance evaluation on the electromagnetic simulation model until the electromagnetic simulation model reaches the standard. According to the method, the performance of the electromagnetic simulation model can be gradually improved by adjusting and optimizing the uncertain parameters, so that the electromagnetic simulation model better conforms to the actual physical phenomenon.

The utility model discloses an educational toy for displaying the physical phenomenon of immiscible liquid, which comprises a shell consisting of a back plate and a shell, a circular flow device is arranged in the shell, a visible window is arranged on the front side of the shell corresponding to the circular flow device, a closed cavity for containing the immiscible liquid is arranged in the circular flow device, and the visible window is arranged in the closed cavity. A circulating water pump is installed on the rear side of the circulating flow device, an inlet of the circulating water pump is connected with a pipeline of the confluence part, and an outlet pipeline of the circulating water pump is connected to the position, located on the upper side of the flow dividing part, of the closed cavity; the immiscible liquid is pumped into the closed cavity through the circulating water pump and then naturally falls down, the abstract scientific concept is converted into visual and interesting display, children can experience and observe the characteristics of the immiscible liquid personally, the curiosity of the children is further met, and the enthusiasm of scientific exploration is stimulated.

This invention discloses a physical phenomenon experience learning system based on immersive virtual reality technology, comprising at least a hardware perception layer, a software platform layer, a core logic layer, and a functional module layer. In corresponding scenarios, dynamic commands are implemented through the hardware perception layer, and material attribute parameters in the physics dynamics engine are adjusted through the core logic layer to achieve interaction within the scene. This system deeply integrates experiential education concepts with virtual reality technology. By constructing a high-precision physics engine-driven, high-fidelity scene, it reconstructs ideal observation conditions such as resistance-free and customizable gravitational fields in virtual space. This facilitates a more intuitive, vivid, and cost-effective way for primary and secondary school students and the general public to overcome the limitations of real-world time and space, personally conduct classic and surreal physics experiments, effectively enhance their sense of spatial presence, and deepen their understanding of abstract physics knowledge.

Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and / or frequency domains. These systems may be additionally responsible for charging and / or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and / or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

An attack detection method according to the present invention involves acquiring change-over-time information that indicates the change over time in physical phenomena that occur in a prescribed space, acquiring sensor data obtained by the sensing of physical phenomena by two or more sensors that are fixed in the prescribed space (S2100), acquiring placement information about the placement of the two or more sensors (S2500), and detecting attacks on the two or more sensors on the basis of the change-over-time information, time series data for the sensor data from each of the two or more sensors, and the placement information (S2500).

A plurality of beds each have, one or more sensors configured to: sense physical phenomena of a user of the bed; and send, to a computer system, sensor readings, wherein the sensor readings include objective data representing measurements of the physical phenomena. A computer system is configured to: receive the sensor readings; receive a plurality of text objects; embed the sensor readings into first vectors of a fixed size; embedding each of the text objects into second vectors of the fixed size; generating, for each user, an aggregated matrix that represents objective data and plurality of text objects; generating a clustering of the users based on the objective data and the plurality of text objects such that users with similar data are placed into the same cluster; and generating a visual representation describing the clustering of the user users.

1. Name of the designed product: magnetic damping demonstrator. 2. Use of the designed product: for demonstrating the physical phenomenon of magnetic damping. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view 1.

A learning system (7) comprises an arithmetic circuit (71) capable of accessing a storage device (6) in which is saved a training data set (D1) including a plurality of data sets each constituted by a control parameter (P1) of a physical system that generates a physical phenomenon, and a measurement value (P2) of the physical phenomenon generated by the physical system. The arithmetic circuit (71) generates a plurality of trained additional parameters (unobserved prior information parameters P3) by adjusting a parameter of the machine learning model and adjusting an additional parameter for each among the plurality of data sets such that the output value of the machine learning model into which the control parameter (P1) and an additional parameter different from the control parameter (P1) have been input approaches the measurement value (P2) of the physical phenomenon.

To further promote space development, we provide technology that can improve the appearance of the simulation environment for spacecraft and the accuracy of the simulation of the movement of various objects. [Solution] The solution involves providing a virtual space rendered by a rendering engine, which includes a first object representing the interior space of a spacecraft; providing a physics simulator that performs a physical simulation with information that controls the behavior of a second object, which is different from the first object and is movably positioned inside the first object, thereby causing the physics simulator to simulate physical phenomena affecting at least one of the first object and the second object; and generating parameters to be given to the rendering engine by performing an abstraction process on the simulation results from the physics simulator.

To further improve generation accuracy of a model of a physical phenomenon.SOLUTION: The information processing device includes a regression equation generation unit and an estimation unit. The regression equation generator generates a regression equation for obtaining one or more output variables, the regression equation including a plurality of input variables and a plurality of coefficients respectively corresponding to the plurality of input variables. The processor is configured to estimate the plurality of coefficients by using one or more correction values for correcting one or more target coefficients included in the plurality of coefficients, the one or more correction values being determined based on knowledge about a relationship between an input variable corresponding to the target coefficient and the output variable.SELECTED DRAWING: Figure 3