Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

260 results about "Physical modelling" patented technology

Physical Modeling. Physical modeling is a way of modeling and simulating systems that consist of real physical components. It employs a physical network approach, where Simscape™ blocks correspond to physical elements, such as pumps, motors, and op-amps. You join these blocks by lines corresponding to the physical connections that transmit power.

PoF (physics of failure) based method for calculating mission reliability of electronic product

A PoF based method for calculating mission reliability of an electronic product comprises steps as follows: step one, information of all mission profiles of the product is collected, and an environment profile of each mission is determined; step two, thermal simulation and vibration simulation of environmental stress of each mission are performed, and a local response of the product to an environmental load is obtained; step three, a product simulation model is established; step four, simulation calculation of the product in all the mission profiles is completed, and the mean time to failure and a main failure mechanism of the product are obtained; and step five, the mission reliability of the product is calculated according to the mean time to failure. According to the PoF based method for calculating the mission reliability of the electronic product, all missions of the product during lifetime use are considered, the environmental stress of each mission is simulated, and the mean time to failure and the mission reliability of the product are comprehensively calculated. By means of a PoF model, the direction relation between parameters of a product material, structure, process and the like and the reliability can be obtained, and a design improvement direction is clearly and directly provided for the product.
Owner:BEIHANG UNIV

Physical modeling system with wind power generation, photovoltaic power generation and energy storage integration system

The invention discloses a physical modeling system with a wind power generation, photovoltaic power generation and energy storage integration system. The physical modeling system is based on power output characteristics of a wind power generation system, a photovoltaic power generation system and an energy storage system, and a converter system is utilized to simulate the wind power generation system, the photovoltaic power generation system and the energy storage system. The physical modeling system comprises an upper layer management module, a wind power generation simulation module, a photovoltaic power generation simulation module, an energy storage simulation module and a simulation power distribution network module. The wind power generation simulation module and the photovoltaic power generation simulation module can simulate power trends of a wind power field and a photovoltaic power station according to a set environment parameter. The energy storage simulation module employs a set of reversely connected current transformers to carry out simulation. Charge and discharge characteristics of a storage battery can be simulated, and an instruction of the upper layer management module can be received. According to a practical requirement, active and reactive power is sent or absorbed to stabilize voltage or frequency fluctuation of the power distribution network module. According to the invention, an inverter is utilized to establish a physical model, and a bottleneck problem that wind power, photovoltaic power and energy storage integration generation research can not be realized in a laboratory physical system is solved well.
Owner:ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1

Physics-of-failure-based MOS (metal oxide semiconductor) device reliability simulation evaluation method

The invention relates to a physics-of-failure-based MOS (metal oxide semiconductor) device reliability simulation evaluation method. The method comprises the following steps: first, acquiring related parameters of an MOS device; second, analyzing a failure mode, a mechanism and an influence; third, establishing CFD (computational fluid dynamics), FEA (finite element analysis) and failure prediction models; fourth, carrying out the simulation analysis on temperature, vibration and electrical characteristics; fifth, performing stress damage analysis; sixth, performing cumulative damage analysis; seventh, considering deviation and performing parameter randomization simulation; eighth, obtaining a time vector before a failure by utilizing a competition failure mechanism; ninth, estimating the average starting failure time of the device. According to the method, a potential failure mechanism and a corresponding failure physical model of the device are obtained by analyzing, the using stress of the device is determined by simulating and analyzing, and finally, the average starting failure time of the MOS device under using conditions is obtained by calculating from the possible failure reasons of the MOS device on the basis of a failure physical theory. The method belongs to the technical field of MOS device reliability simulation and evaluation.
Owner:BEIHANG UNIV

Spatial surface prior information reflectance estimation (SPIRE) algorithms

A new class of algorithms has been developed to estimate spectral reflectance in remote sensing imagery. These algorithms are called Surface Prior Information Reflectance Estimation (SPIRE) algorithms and estimate surface spectral reflectance using prior spatial and spectral information about the surface reflectance. This paper describes SPIRE algorithms that employ spatial processing of single channel data to estimate local changes in spectral reflectance under spatially and spectrally varying multiplicative and additive noise caused by variations in illumination and atmospheric effects. Rather than modeling the physics of the atmosphere and illumination (using a physics-based code such as ATREM), or using ground truth spectra at known locations to compensate for these effects (using the Empirical Line Method), prior information about the low spatial frequency content of the scene in each spectral channel is used instead. HYDICE VNIR-SWIR hyperspectral data were used to compare the performance of SPIRE, ATREM, and ELM atmospheric compensation algorithms. The Spatial SPIRE algorithm performance was found to be nearly identical to the ELM ground-truth based results, while Spatial SPIRE performed better than ATREM overall, and significantly better under high clouds and haze.
Owner:AIR FORCE GOVERNMENT OF THE US SEC THE

Method and device for measuring dissolved substances in human or animal intraocular fluid

The present invention relates to the non-invasive optical measurement of glucose and other dissolved substances in human or animal intraocular fluid. For this purpose, a method and devices for carrying out the method are proposed. The method according to the invention takes advantage of the fact that the wave dependence of optical activity is fundamentally different from corneal birefringence. The optical activity of substances dissolved in the intraocular fluid, such as glucose, lactate, ascorbic acid or amino acids, is scaled as a first approximation with the reciprocal value of the wavelength square. Upon closer review, higher orders must be taken into consideration and effectively an exponent varying from a value of 2 may occur. For glucose, the exponent shall be denoted as 2+xG, with the value xG being approximately 0.2. Accordingly, the exponents for lactate are denoted as 2+xLak, for ascorbic acid as 2+xAsc and for amino acids as 2+xAm. In contrast, corneal birefringence is scaled with the reciprocal value of the wavelength and therefore behaves considerably different from the optical activity. For the method according to the invention, a physical model is used, which describes the influence on the polarization of measurement radiation by the components of the eye, particularly by the intraocular fluid and the cornea.
Owner:CARL ZEISS SMT GMBH

Experimental facility for simulating shield tunnel dynamically boring causing ground loss and surface subsidence

An experimental facility for simulating shield tunnel dynamically boring causing ground loss and surface subsidence includes a model case which is provided with a tunnel simulation mechanism and lifting regulating mechanisms. The model case is formed by splicing four lateral plates and a base plate, wherein through grooves are correspondingly formed on two lateral plates which are opposite to each other. The tunnel simulation mechanism is provided with a shield pipe and a tunnel pipe, the shield pipe is sleeved outside the tunnel pipe, and at least two sets of elastic support pieces are arranged between the shield pipe and the tunnel pipe in an axial direction of the pipes. Each of the through grooves is provided with a set of lifting regulating mechanism which includes lifting plates, wherein the lifting plates are attached firmly to the lateral plates of the model case on the positions of the through grooves and connected with a climbing mechanism or a lifting mechanism, through holes are formed on the position of the lifting plates, which is corresponding to the position of the shield pipe, and the tunnel simulation mechanism is arranged in the through holes and through grooves in a penetrating mode. The experimental facility for simulating shield tunnel dynamically boring causing ground loss and surface subsidence solves the problem in existing indoor physical modeling experiment method that the influence effect and influence rule of influence factors such as cutting depth and cutting diameter on ground displacement can not be considered.
Owner:SUZHOU UNIV OF SCI & TECH

Automatic checking method for change influence degree of model

The invention discloses an automatic checking method for change influence degree of a model. The automatic checking method comprises the following steps: a), collecting and analyzing SQL (structured query language) sentences performed by a database, and recording correlation between tables in the database; b) generating a correlation base line of a system data model to obtain a constrained graph of a system physical model, generating a physical model digraph according to the system service flow, and constructing a data model-service functional diagraph; c) when the software system has model changes, inputting the corresponding change information, and distinguishing the change influence range and the service functions according to the digraph and the functional digraph. According to the automatic checking method for change influence degree of the model disclosed by the invention, the SQL information of the database is collected, the model digraph is generated, the software change influence degree is analyzed from the software system physical model, the change influence range and the service function pots of the model are intelligently judged, and the risk and design defects are distinguished in advance, so that the intuition, the sufficiency and the efficiency of the change influence degree analysis are improved.
Owner:SHANGHAI SNC NET INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products