12results about How to "Easy assessment process" patented technology

The invention relates to an MPRFS-based method for evaluating the efficiency of a gas-powder two-phase explosion suppressant in suppressing gas and coal dust explosion, and belongs to the technical field of coal mine underground gas and coal dust explosion protection. The method comprises the following steps: constructing a mathematical model for inhibiting gas and coal dust explosion by the gas-powder two-phase explosion suppressant; determining initial conditions, boundary conditions and input parameters of the numerical model; establishing a three-dimensional physical model of the explosion container; constructing a simulation calculation grid and a gas, coal dust and gas powder two-phase explosion suppressant distribution domain; creating a thermodynamic file and a reaction kinetics file of gas and coal dust composite explosion and explosion suppressant decomposition; developing a CFD (Computational Fluid Dynamics) numerical simulation solver and an OpenFOAM-Cantera coupling interface; solving a numerical model and correcting the model; and evaluating the explosion suppression efficiency of the gas-powder two-phase explosion suppressant. The method can effectively evaluate the inhibition effects of different gas-powder two-phase explosion suppressants in gas and coal dust explosion.

The invention discloses an action quality evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring video data of motion of a to-be-assessed person; determining first information by using the video data, the first information representing body key point data of the to-be-evaluated person in each video frame; using the first information and second information to extract at least one video key frame from the video data, the second information being associated with motion characteristics of motions performed by the person to be assessed, and the motions including symmetric motions; and evaluating the motion of the motion performed by the person to be evaluated by using the extracted at least one video key frame. According to the scheme provided by the embodiment of the invention, automatic evaluation for symmetric movement actions is realized, and no electronic equipment needs to be worn while the labor cost is saved.

An X-ray focal spot shape evaluation apparatus 10 is an apparatus for evaluating an X-ray focal spot shape including an X-ray focal spot size on a target 22 of an X-ray source 20, and includes an imaging unit 11 and an operation unit 12. The imaging unit 11 acquires a phase contrast image in a range including an edge of an object 30 disposed on a propagation path of X-rays generated on the target 22 of the X-ray source 20. The operation unit 12 evaluates the X-ray focal spot shape on the target 22 based on at least the phase contrast image, a linear attenuation coefficient of the object 30, and a refractive index of the object 30. Thus, an apparatus and a method capable of easily evaluating a focal spot shape including an X-ray focal spot size on a target of an X-ray source are realized.

The invention belongs to the technical field of tissue engineering and regenerative medicine, and particularly discloses a method for evaluating the degradation process of a porous elastic scaffold based on shear wave attenuation characteristics, which comprises the following steps: transmitting ultrasonic pulses to a measurement area of the porous elastic scaffold, quickly tracking shear waves in the measurement area, and collecting real-time echo data; displacement of the porous elastic stent is obtained based on real-time echo data, and then inversion analysis is performed to obtain complex shear wave velocities at different sites in a measured area; determining a shear wave attenuation coefficient according to the complex shear wave speed and the shear wave excitation frequency; based on the shear wave attenuation coefficient, the porosity of the porous elastic stent in the current fluid-structure interaction state is determined, and the porosity is used for feeding back the degradation state of the porous elastic stent. According to the invention, non-invasive monitoring and dynamic evaluation are carried out on the physical structure state and the mechanical property of stent degradation, and quantitative, real-time and accurate monitoring can be carried out on the degradation process of the porous elastic stent in the biomedical field.

The invention relates to the technical field of test question difficulty prediction, and provides a circuit test question difficulty assessment method and system, and the method comprises the steps: obtaining a target parameter from a circuit test question, and carrying out the extraction of knowledge points based on the target parameter; according to the extracted knowledge points, classifying the knowledge points according to six categories of memory, understanding, application, analysis, evaluation and creation of a Bloom cognitive process dimension; determining the weight of each extracted knowledge point through an analytic hierarchy process, and calculating the assignment value of each knowledge point; according to the assignment value of each knowledge point, the classified knowledge points and an analytic hierarchy process, determining the weight of six categories of each knowledge point, and calculating the assignment value of each category of each knowledge point; and calculating a difficulty score of the circuit test question based on the score of each category of each knowledge point, and evaluating a difficulty coefficient of the circuit test question based on the difficulty score of the circuit test question. The difficulty of the test question evaluation process can be effectively reduced, the accuracy of test question difficulty evaluation can be effectively improved, and the evaluation efficiency is effectively improved.

This application discloses a method for determining a display mode and a vehicle, relating to the field of vehicle control technology. The method includes: determining the first importance of a vehicle function to be displayed to the occupants based on their attribute information; determining the second importance of the vehicle function to the current driving process based on the vehicle's current driving scenario; determining the vehicle's usage preference for the vehicle function based on its historical usage information; and fusing the first importance, second importance, and usage preference levels to determine the target display mode corresponding to the vehicle function based on the fusion processing result. The technical solution of this application embodiment can make the target display mode more closely match the actual driving conditions of the vehicle and the actual needs of the occupants, thereby improving the convenience and experience of occupants using vehicle functions.

An information processing technology capable of increasing prediction accuracy of causing cardiac diseases, performing appropriate therapy and increasing efficiency of drug development is constructed by utilizing "in-silico cardiac disease database." An electrocardiogram and the like obtained from "in-silico cardiac disease database" which is the database storing a simulation result of a cardiac model of virtual disease where various factor related to cardiac disease are changed are inputted to a classifier for performing an automatic diagnosis of the cardiac disease, and an influencing factor associated with the cardiac disease is identified as a biomarker by comparing distributions of a variation amount of a factor between a positive group and a negative group. In addition, precise diagnosis of an individual is easily performed by identifying the cardiac model having the electrocardiogram and the like appropriate to the actual electrocardiogram and the like of the individual in the in-silico cardiac disease database. Furthermore, the process of drug development is efficiently performed by extracting a group having a predetermined feature from the in-silico cardiac disease database and simply evaluating an effect of an administration of a medical agent.

The invention belongs to the technical field of ice area environment science, and particularly relates to a seawater uniaxial compression strength prediction method based on air temperature, which comprises the following steps of: A1, starting to monitor ice temperature fit of each layer according to real-time air temperature data qt at the initial freezing stage of sea ice, and establishing a relationship between the air temperature and a sea ice temperature profile; a2, measuring a sea ice salinity profile Sit, and establishing a parameterized relationship between the sea ice temperature fit and the sea ice salinity Sit based on observation data; a3, calculating the porosity kit of each layer of sea ice, and then calculating the change rule of the porosity of each layer along with the temperature of the sea ice according to the porosity; a4, screening a sample of which the fracture mode is that ductility expansion is a main crack and is split, and establishing a relationship between the porosity kit and the sea ice uniaxial compression strength sigmait; through cooperation of the method, a uniaxial compression strength relation model based on air temperature is deduced, and a new technical means is provided for evaluation of mechanical properties of sea ice and disaster prevention and reduction of sea-related engineering in an ice area.

A compound safety prediction device (1A) according to the present invention comprises: an input unit (10) for inputting the structural formula of at least one molecule; a safety prediction unit (20) for predicting a safety evaluation of the molecule and computing a confidence score level of the prediction; a similar molecule data searching unit (30) for acquiring the safety evaluation data of a similar molecule similar to the molecule; and an output unit (80) for outputting the result of prediction of the safety evaluation of the molecule, the confidence score level of the prediction, and the safety evaluation data of the similar molecule.

The invention discloses evaluation equipment and method for a Rogowski coil type electric energy meter, and relates to the field of Rogowski coils. A primary current and a primary voltage are generated through an electric energy meter calibrating device; the method comprises the following steps: generating alternating magnetic flux by using primary current through a standard current transformer, inducing secondary current based on the alternating magnetic flux, and inputting the secondary current into a coaxial shunt; the secondary current is converted into a voltage signal through the coaxial shunt and the voltage signal is input into the Rogowski coil type electric energy meter; the Rogowski coil type electric energy meter performs electric energy metering by using a voltage signal input by the coaxial shunt and a voltage signal output by the electric energy meter calibrating device, and outputs a power pulse to the electric energy meter calibrating device through the power pulse output interface. The electric energy meter calibrating device generates the standard pulses by using the primary current and the primary voltage generated by the electric energy meter calibrating device, and calculates the difference value between the number of the standard pulses generated in the unit time window and the number of the received power pulses to obtain the error value, so that accurate evaluation of the Rogowski coil type electric energy meter is realized.

The invention provides a spectral mismatch calculation method for a photovoltaic device, which comprises the following steps: acquiring spectral data and spectral response characteristic data of the photovoltaic device, converting the spectral response characteristic data and the spectral data into probability distribution, calculating information entropy of the probability distribution of the spectral data, and calculating the spectral mismatch of the photovoltaic device. Calculating the information entropy of the probability distribution of the spectral response characteristic data of the photovoltaic device, calculating the difference between the information entropy of the spectral data and the information entropy of the spectral response characteristic data of the photovoltaic device, and evaluating the spectrum mismatch degree according to the difference; the method can simplify spectrum mismatch evaluation, improve evaluation accuracy, enhance adaptive capacity, optimize photovoltaic system design, reduce energy loss, and provide basis for design, installation and maintenance of the photovoltaic system.