70results about How to "Quick calculation" patented technology

The invention provides a method for calculating the load of an aircraft fastener, which comprises the following steps of: calculating the axial rigidity, the shearing rigidity, the torsional rigidity and the bending rigidity of the fastener according to the effective length, the diameter and the material of the fastener; according to the coordinate value of the fastener and the coordinate value of the load action point, a fastener partial load finite element model is established by adopting finite element software, and the fastener partial load finite element model is endowed with fastener attributes; according to the boundary condition and the load working condition, calculating and extracting a fastener load; pulling force or pressure and shearing force borne by all the fasteners are settled, and the pulling force or pressure and shearing force borne by the fasteners are integrated, namely the load borne by the fasteners after load division. The problems that an existing load calculation mode for the fastener is complex in calculation step and large in calculation amount are solved.

The application discloses a method, system, device and medium for hybrid solving ground state energy of a molecular system, relates to the cross field of quantum computing and molecular simulation, and comprises the following steps: splitting a molecular system to be calculated into a quantum mechanics region and a molecular mechanics region; iteratively calculating point charges of atoms in the molecular mechanics region by using a Gasteiger charge method; constructing and calculating a system Hamiltonian according to atomic information of the quantum mechanics region and the point charges of the molecular mechanics region, wherein the system Hamiltonian comprises a Hamiltonian of the quantum mechanics region, a Coulomb interaction item of atomic nuclei of the quantum mechanics region and the point charges of the molecular mechanics region, and a Coulomb interaction item of electrons of the quantum mechanics region and the point charges of the molecular mechanics region; and solving the minimum eigenvalue of the system Hamiltonian by using a variational quantum eigenvalue solver method, so as to obtain the ground state energy of the molecular system; and the method improves the accuracy of ground state energy calculation and meets the demand of high-precision molecular simulation.

The invention relates to the field of phased radars, and discloses an active phased array radar calibration method, which is used for improving the accuracy of actually measured phase data. Comprising the following steps: calculating theoretical excitation phases of radiation units according to an antenna array physical geometric structure and a target beam directional angle; enabling the antenna to sequentially excite the radiation units and collect coupling signals in a single-channel mode, and performing analysis to obtain an actually measured amplitude, a phase and a phase deviation; synthesizing the theoretical excitation phase and the phase deviation to generate an actual emission phase, and constructing a phase compensation lookup table; and after compensation by using the lookup table, measuring the actual directional diagram, and if not, performing fine adjustment. The calibration precision and reliability are improved, and the high-precision detection requirement of the active phased array radar can be met.

The application discloses a kind of weak steady-state energy conservation's coal-fired boiler calorific value correction method and device, the method includes the following steps: extracting weak steady-state parameter main parameter from the real-time data of unit operation, each main parameter is filtered in time detection window and weak steady-state condition is judged, when all main parameters meet weak steady-state judgment condition during detection, the mean value of energy conservation parameter under the corresponding detection number is output;Using the mean value of energy conservation parameter carries out boiler heat balance calculation, obtains the actual fuel heat value corresponding to current unit load;Actual fuel heat value Q net.ar The ratio COR of the original design fuel heat value Q design Of unit is used as coal-fired boiler calorific value correction amount, and the fuel quantity of unit is adjusted by coal-fired boiler calorific value correction amount;The application has the advantages that: avoid system repeated oscillation, improve calorific value correction precision.

This invention discloses an optimization method and system for smoke screen chaff deployment based on a view cone masking model, belonging to the field of signal jamming technology. The method includes the following steps: S1, constructing an adversarial kinematic model of the missile, target, and chaff; S2, establishing a view cone masking quantitative evaluation model with masking completeness as the core; S3, defining a fitness function with the maximum effective masking time as the objective; and S4, using an adaptive genetic algorithm to solve for the optimal deployment strategy that satisfies spatiotemporal constraints. This invention solves two major bottlenecks in existing technologies: the disconnect between effect evaluation and decision control, and the excessive reliance of advanced decision models on preset conditions. It achieves accurate, direct, and decision-driven quantitative evaluation of masking effects from the first-person perspective of the missile seeker.

The application discloses a method for predicting rectangular narrow-gap re-submerged liquid droplet entrainment behavior of a plate-shaped element, which comprises the following steps: in an offline stage, constructing and initializing a BP neural network, training and optimizing weight values and threshold values by taking experimental boundary conditions as input variables and liquid entrainment rate as an output variable, and predicting in an online stage. The application can rapidly and accurately calculate the liquid entrainment rate value suitable for the re-submerged working condition of the bottom of the plate-shaped element by training the input-output relationship through a large amount of data by using the artificial neural network prediction method.

This invention discloses a rapid calculation method for the rearward infrared radiation intensity of an S-curve nozzle, belonging to the field of infrared radiation characteristic simulation of aero-engine exhaust systems. The method comprises the following steps: determining the design parameters of the S-curve nozzle and exhaust mixer components; establishing projection models of the key shielding sections of the exhaust mixer and S-curve nozzle; calculating the projected area of ​​each component after shielding by the S-curve nozzle using an image method; calculating the flow field parameter distribution and component surface temperature of the S-curve nozzle; calculating the axial length and volume of the visible region of the exhaust gas in the S-curve nozzle; calculating the spectral transmittance and spectral radiance of the exhaust gas along the nozzle outlet centerline within the visible region of the exhaust gas, as well as the spectral radiance intensity of the exhaust gas; calculating the infrared spectral radiance intensity of the wall surface; and integrating the spectral radiance to obtain the total infrared radiation intensity. This method solves the problems of existing technologies where the simulation calculation of the infrared radiation characteristics of S-curve nozzles is complex and time-consuming, and rapid calculation methods are only applicable to axisymmetric nozzles and cannot simulate the shielding structural characteristics of S-curve nozzles.

A kind of plate rotary body part simulation forming process entity unit wrinkle monitoring method, by constructing rotary body part forming simulation model and carrying out sheet metal deep drawing forming process simulation, extract the surface geometric information of rotary body part in simulation result, obtain the degree of surface fluctuation by converting coordinate system and comparison calculation, and then accumulate to obtain overall wrinkling evaluation.The present application does not need to establish the relationship between strain and material wrinkling instability, and obtains the micro-wrinkling on the surface of the part in the deformation simulation process by geometric method, directly judges the fluctuation of the surface of the finite element model part according to the wrinkling in the forming process of the part, and efficiently completes the fluctuation (wrinkling) comprehensive judgment of the simulation forming surface of the whole rotary body part.

The application discloses a kind of SF6 circuit breaker fault prediction method and system considering the effect of breaking arc, collect breaking arc data and SF6 gas decomposition product content after breaking, in the process of operation and after fault, establish circuit breaker historical breaking data set, build cumulative arc energy-SF6 gas decomposition product content relationship model, obtain the SF6 gas decomposition product content corresponding to different breaking times, breaking current;Establish SF6 gas decomposition product content historical operation data set;Build SF6 gas decomposition product content prediction model based on LSTM, obtain the prediction result of SF6 gas decomposition product content;Establish SF6 gas decomposition product content historical fault data set, build SF6 circuit breaker fault diagnosis model;The prediction result of SF6 gas decomposition product is as the input of SF6 circuit breaker fault diagnosis model, obtains fault diagnosis result, realizes the fault prediction of SF6 circuit breaker.

The application discloses a kind of square battery roll core tab die-cutting parameter calculation method, belong to new energy battery technical field.The method includes parameter determination, first circle length calculation, circle length difference calculation, each circle length calculation, correction and finishing adjustment steps.First, according to the key parameters of cell design scheme are determined, then according to the winding direction and the position of tab calculates the first circle of tab die-cutting length, then calculate the length difference of each circle of tab, and then obtain the length of each circle of tab die-cutting theory, by multiplying correction coefficient, combined with the total design length of tab adjustment last circle length, obtain the final tab die-cutting parameter.The application is based on winding simulation and mathematical theory calculation, combined with practice correction coefficient, can quickly and accurately calculate the tab die-cutting parameter, adapt to different model square battery process parameter change, improve research and development efficiency and production quality, with wide application prospect.

The application discloses a cable life prediction method based on an improved electromagnetic-thermal field coupling model, and comprises the following steps: firstly, a temperature coefficient and a proportional coefficient are used to respectively establish an insulation material thermal conductivity coefficient and temperature relationship and a convection heat transfer coefficient and temperature relationship, and the two relationships are used together with a conductor resistivity and temperature relationship as an electromagnetic-thermal field coupling relationship, thereby forming an improved electromagnetic-thermal field coupling model; then, a chaotic grey wolf optimization algorithm is used to identify the optimal temperature coefficient and the proportional coefficient of the insulation material in the improved electromagnetic-thermal field coupling model, and on this basis, the conductor temperature is calculated; finally, a multivariate linear regression is used to establish a conductor temperature analytical model, and an Arrhenius model is used to establish a cable life analytical model. The application solves the problem of large error of a traditional electromagnetic-thermal field coupling calculation method under a high temperature operation condition of a cable, and realizes online prediction of the cable life.

This invention belongs to the field of high-performance computing technology and is a method for complex matrix-vector multiplication based on the Ascend Atlas matrix computation unit. The method includes the following steps: The partitioned computational tasks are assigned to the various matrix computation cores of the Atlas NPU for parallel computation; the vector computation unit recombines and arranges the complex vectors to obtain two column vectors with real-negative imaginary part spacing and imaginary-real part spacing, and combines these two vectors into a column-major matrix; the matrix operation unit is invoked to perform matrix-vector multiplication, obtaining the real and imaginary parts of the complex result vector; the real and imaginary parts of the complex result vector are merged by the vector computation unit, synchronizing the matrix operation unit and the vector operation unit at the computation core granularity to obtain the final complex result vector. This invention eliminates the need for real-imaginary separation of the complex matrix, reducing computational performance consumption, accelerating complex matrix-vector multiplication, and improving the computational efficiency of complex matrix-vector multiplication on the NPU.

Embodiments of the present specification provide a multi-party secure computing execution method and device. The method is applied to a first party in the multi-party, and includes: first, according to a target operation currently to be executed in multi-party secure computing, obtaining the communication overhead respectively corresponding to a plurality of optional protocols for implementing the target operation; then, based on the parameter information of the current network environment and the above communication overhead, determining the time cost of executing the respective corresponding protocols in the current network environment; and then selecting the protocol with the lowest time cost from the above plurality of optional protocols as the target protocol for executing the above target operation. In this way, the protocol for executing the target operation can be dynamically selected according to the current network, and the calculation speed can be accelerated.

The application provides a method for determining the splicing overlap distance of a shield segment top sealing block, which comprises the following steps: establishing a three-dimensional rectangular coordinate system with the intersection point of the axis of a segment ring and one side end surface O in the axial direction of the segment ring as the origin, taking the up-down direction as the Z axis and the axial direction as the Y axis; obtaining the expression of the top sealing block overlap surface of the central angle, the expression of the top sealing block overlap surface considering the insertion angle, and the expression of the top sealing block overlap surface considering the joint angle according to the geometric parameters of the top sealing block and the segment ring; the X axis coordinate value of the intersection point of the top sealing block overlap surface considering the joint angle and the outer surface of the segment ring and the other side end surface O' in the axial direction of the segment ring is recorded as L1, the X axis coordinate value of the point on the intersection line of the top sealing block overlap surface considering the insertion angle and the inner surface of the segment ring is recorded as L2, the axial coordinate value is recorded as d, and when L1=L2, d is the maximum overlap distance of the top sealing block along the axial direction and the segment ring.

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 application discloses an education facility site selection and configuration optimization method and system, computer equipment and a medium. The method comprises the following steps: acquiring data of a target area and preprocessing; performing primary school education facility supply analysis and resident demand analysis based on township primary school education facility supply data and rural community life power supply data, and measuring the supply and demand accessibility of primary school education facilities; performing population flow measurement of different time scales based on the rural community life power supply data; performing K-means clustering analysis according to the supply and demand accessibility, the population monthly flow level and the population annual flow level, and obtaining clustering results; matching the clustering results with rural community units, identifying the layout characteristics and types of rural community primary school education facilities, and realizing targeted township primary school education facility site selection and configuration optimization in units of rural communities. The application can provide primary school education facility site selection and configuration optimization by replacing the previous population census data.

The application relates to an automatic text classification method based on a car community, which comprises the following steps: obtaining a data set of car community texts; obtaining word vectors and text feature vectors as input values of a double-layer clustering model; performing clustering calculation on the word vectors and the text feature vectors to generate word classification and text classification respectively, so as to form the double-layer clustering model. When a new text enters: calculating the word vectors and the text feature vectors of the new text; calculating the word classification of each word vector of the new text and the word frequency under each classification; calculating the text classification of the new text; performing dynamic analysis according to the word classification, the word frequency and the text classification of each word vector of the new text; when the number of words and the word frequency of the new text generated outside the existing word classification reach a threshold value, the double-layer clustering model is updated. Therefore, the application can realize automatic classification of car community texts in the whole process, improve the classification accuracy and efficiency, and form a closed-loop management.

The invention discloses an alternating current real-time parameter rapid correction method, which relates to the technical field of alternating current parameter correction, and comprises the following steps of: 1, establishing an alternating current real-time parameter coordinate system; 2, selecting a plurality of standard calibration points in the coordinate system; 3, selecting a plurality of to-be-corrected points in the coordinate system, and calculating a broken line slope K corresponding to each to-be-corrected point; and 4, directly updating the to-be-corrected point through the broken line slope K to obtain corrected data. According to the invention, a curing operation can be carried out before real-time measurement is started, and a large amount of resources occupied by division operation of a single-chip microcomputer are avoided, so that the operation speed is improved, and the accuracy of a measurement result is ensured. The method is suitable for measurement of real-time electrical parameters of alternating current and other basic measurement fields, and has a wide application prospect.

The application discloses a diffraction field calculation method, device and equipment of a Bessel Gaussian beam and a medium, the Bessel Gaussian beam is reflected by a conical surface of an off-axis conical mirror, and a Gaussian beam is reflected at a preset incidence angle; the method comprises the following steps: obtaining a first light field distribution of a reflected beam formed after the Gaussian beam is just reflected on the off-axis conical mirror; based on the first light field distribution, a virtual surface is constructed, and a third light field distribution of the Gaussian beam on the virtual surface is obtained; the discretization spectrum of the third light field distribution is determined; the discrete sampling point coordinate set of the Bessel Gaussian beam on a preset diffraction field is determined; based on the discretization spectrum, the discrete sampling point coordinate set is subjected to non-uniform discrete Fourier transform, and the second light field distribution of the Bessel Gaussian beam on the preset diffraction field is obtained. The application provides a low-complexity and fast calculation algorithm for calculating the diffraction field of the Bessel Gaussian beam generated by the off-axis conical mirror.

The application discloses a power battery alternating current charging time calculation method and device, medium and electronic equipment, and belongs to the technical field of batteries. The power battery alternating current charging time calculation method comprises the following steps: acquiring an alternating current charging voltage change curve of a battery cell in a power battery; determining the charging power of the power battery according to the power of a high-voltage accessory and a low-voltage accessory assembly in a vehicle provided with the power battery; determining the relationship between the charging current and the charging time of the power battery according to the alternating current charging voltage change curve of the battery cell and the charging power; and determining the alternating current charging time of the power battery according to the target SOC change amount of the power battery and the relationship between the charging current and the charging time. The embodiment of the application can realize quantitative measurement of the alternating current charging time of the power battery in the whole available SOC range.

The embodiment of the invention discloses a semiconductor test structure and a thickness measurement method. The semiconductor test structure comprises a substrate, wherein a groove is formed in the substrate; the epitaxial layer is formed based on the groove, and the epitaxial layer comprises a buffer layer, a seed crystal layer and a silicon cap layer which are stacked in sequence; the buffer layer covers the bottom surface of the groove; the seed crystal layer is in a convex shape and is positioned above the buffer layer; the silicon cap layer is positioned above the seed crystal layer and covers the convex part of the seed crystal layer; and the combination of the silicon cap layer and the seed crystal layer is in a halfpace shape protruding above the opening of the groove. According to the semiconductor test structure and the thickness measurement method provided by the embodiment of the invention, the size information of each layer in the epitaxial layer can be quickly and accurately obtained.

The invention belongs to the field of multi-energy power system dispatching, and relates to a water-wind-light power source base power generation dispatching method considering alternating current and direct current peak regulation requirements. The method comprises the following steps: firstly, constructing an optimal scheduling model containing time and space double dimensions; in the aspect of time, a differentiated objective function is adopted in a dry period, the dry period minimizes the sum of squares of residual loads of an alternating current receiving end to smooth the loads, and the flood period minimizes the system abandoned electric quantity to guarantee clean energy consumption. In space, the model overall plans multiple types of actual constraints such as cascade hydraulic connection, upstream and downstream collaboration, water and electricity distribution proportion, direct-current stepped power and standby, and differential peak regulation driving is implemented on alternating-current and direct-current receiving ends. And through model solution, optimal distribution of base output among multiple receiving ends and cascade power station cooperative scheduling are realized. According to the method, the resource utilization efficiency and the power grid operation safety are remarkably improved, and a reliable method is provided for efficient scheduling of the alternating-current and direct-current hybrid delivery clean energy base.

Techniques for computing matrix operations for arbitrarily large matrices on a limited size hybrid analog-digital matrix processor are described. Techniques for gain adjustment in a limited size hybrid analog-digital matrix processor are described that enable the system to achieve higher energy efficiency, greater physical density, and improved numerical accuracy. In some embodiments, these techniques maximize the prediction accuracy of GEMM-based convolutional neural networks using low-precision data representations.

The present application belongs to the field of thermal power plants, and discloses a coal quantity rapid analysis method, system, computer equipment and storage medium, comprising: obtaining laser radar scanning point cloud data of a coal pile area; performing three-dimensional target detection on the laser radar scanning point cloud data of the coal pile area with the coal pile as a to-be-recognized target to obtain relative coordinates of a three-dimensional detection frame; obtaining laser radar scanning point cloud data within the three-dimensional detection frame according to the relative coordinates of the three-dimensional detection frame, and obtaining a pile shape type of the coal pile and relative size parameters of the coal pile according to the laser radar scanning point cloud data within the three-dimensional detection frame; and obtaining a volume of the coal pile according to the pile shape type of the coal pile, the relative coordinates of the three-dimensional detection frame and the relative size parameters of the coal pile. Compared with the existing manual coal piling method, the coal quantity rapid analysis method can realize real-time and rapid calculation of the volume of the coal pile based on the laser radar scanning point cloud data of the coal pile area, greatly reducing the time consumption of piling coal.

This invention discloses a data-driven method for reconstructing the flow field in a water-fish coupled scenario, relating to the intersection of fluid mechanics and artificial intelligence. The method includes the following steps: using a CFD model to simulate the water-fish coupled flow field under various scenarios, constructing a water-fish coupled flow field dataset; based on the water-fish coupled flow field dataset, constructing dynamic meshes for the fish body and background using a convolutional neural network prediction method via a Lagrangian module; constructing convolutional neural network models for both the fish body and background dynamic meshes; and constructing a rapid flow field reconstruction model based on the convolutional neural network model and the Eulerian-Lagrangian method to accurately predict the water-fish coupled flow field. This invention solves the problems of high cost, low efficiency, low accuracy, and unsuitability for widespread application of traditional flow field numerical simulation methods.

The present application relates to a kind of overhead line length calculation method based on day phase method, comprising the following steps: obtaining the sag coefficient k of catenary and span length L;When the height of two suspension points of catenary is equal, the line length coefficient t when there is no height difference is calculated according to the following formula:In the formula, u is dimensionless intermediate parameter;According to the calculated line length coefficient t, the catenary line length when the height difference is h is calculated according to the following formula:In the formula, h is the height difference of two suspension points of catenary, L c It is the equivalent catenary line length when the height difference is h, and the equivalent catenary line length when there is no height difference, i.e. h=0.

This invention provides a fast calculation method for beam transport in a de-energizer section based on the transfer matrix and Monte Carlo method, relating to the field of beam physics. The method includes: Step 1, constructing a transfer matrix model of the beam transport section before the de-energizer based on the beam optical parameters and optical element parameters at the starting point of the beam transport line, obtaining the particle phase space distribution parameters at the de-energizer inlet; Step 2, establishing a three-dimensional structural model of the de-energizer based on the particle phase space distribution parameters at the de-energizer inlet and performing Monte Carlo beam transport simulation of the de-energizer section, obtaining the position, momentum, and energy information of the beam particles at the de-energizer outlet; Step 3, performing outlier data removal processing on the position, momentum, and energy information of the beam particles at the de-energizer outlet, obtaining processed particle data. This invention achieves high-precision reconstruction of Monte Carlo particle information into optical parameters, improving the simulation efficiency of beam transport lines containing de-energizer structures.

The present application relates to the field of geotechnical engineering foundation treatment, in order to improve the calculation efficiency of pile spacing, provide a kind of gravel pile spacing calculation method, system, device, storage medium and product, by obtaining correction coefficient, pile diameter, soil thickness before processing, soil thickness after processing;Based on not considering vibration subsidence and considering the treatment volume of soil body of enlarged pile diameter, and the treatment volume of soil body when considering vibration subsidence and the pile diameter is unchanged, the two are equivalent, calculate the gravel pile spacing, without obtaining soil porosity ratio through experiment, the soil thickness before and after processing is obtained conveniently, so as to simplify the calculation process;It can quickly calculate the pile spacing before preliminary design, significantly save working time;Improve economic efficiency, reduce the cost of early exploration.

The invention relates to a comprehensive energy system optimization regulation and control method based on working condition clustering and a multi-agent model, and is suitable for the field of comprehensive energy system operation regulation and control. The method comprises the steps of determining a system external working condition parameter set associated with a preset optimization objective function based on the structure of a target integrated energy system; constructing an external working condition data set of the system; classifying each working condition sample in the data set to form an external working condition data subset corresponding to each working condition classification; determining an optimal regulation and control strategy result corresponding to each sample; constructing a training data set corresponding to each working condition classification; the working condition samples in the training data set are used as input, the optimal regulation and control strategy result corresponding to the working condition samples is used as output, and the comprehensive energy system optimization regulation and control agent model corresponding to each working condition classification is trained; and acquiring a current external working condition of the system, determining a working condition classification corresponding to the current working condition, and inputting the current working condition into the agent model corresponding to the working condition classification to obtain an optimal regulation and control strategy result corresponding to the current working condition.