368results about How to "Good modeling" patented technology

The invention relates to a three-chain six-freedom parallel flexible hinge micro motion device, wherein it comprises base platform, movable platform, driver on the base platform, and three support rods via flexible joints connected to the driver and movable platform. Said driver comprises three flexible plates on the base platform and piezoelectric ceramic driver connected to the flexible plates; three flexible plates are integrated processed, while each plate is connected to two piezoelectric ceramic drivers in right angle. The invention has compact structure and low installment error.

The invention relates to a modeling and numeric value simulating method of ground water environment, comprising the following steps of: (1) carrying out space grid interpolation on surface elevation and embedded depth of groundwater by using space interpolation functions KRIG2D() or TRI<->SURF() functions of IDL (Interface Definition Language) software, and simultaneously dividing a space definite difference molecule value simulation grid to acquire two same differential grid matrixes; setting a simulation region soil property file and a surface elevation and groundwater water level property file; and calculating the embedded depth h0 and unit boundary velocity field of the groundwater; (2) establishing a one-dimension solute transport model in an unsaturated zone; (3) establishing a solute transport two-dimension numeric value model in a saturated zone; (4) carrying out approximate representation on each term in the formula; and (5) solving each component by using IDL matrix algorithm. The invention effectively, quickly and conveniently simulate the groundwater environment based on the IDL platform, thereby the invention is widely used for processes of numeric value simulation, prediction, emergency prediction and the like of the burst pollution event of the groundwater environment.

The invention discloses a personalized recommendation method based on a knowledge graph. The method has the advantages that the link relations among conceptual entities in the knowledge graph are utilized to measure the semantic association between every two optional nodes, a network representation learning method is used to obtain the representation vectors of the nodes in a network structure, and items are precisely recommended for users by calculating node similarity; the item recommendation based on knowledge graph feature learning is used for efficiently mining the entity features in theknowledge graph, user and recommendation object features can be well modelled, and multi-dimensional features are sufficiently utilized.

The invention relates to a binocular initiative vision monitoring device for precision machining. The feature is that it fixes three supports on base, and sliding rails are installed in the three supports and plumbing to bottom plane, sliding blocks are installed in the sliding rail, the round guiding rail connecting to the three sliding blocks, two dollies installed on the round guiding rail, each dollies having a cradle head that is installed a video camera. The base line and location between the two video cameras would be adjusted by sliding on the guiding rail. The vision system could flexibly adjust the observing anger. It has the advantages of parallel structure, simple moving mode and simple vision computing mode.

The invention provides an equipment data collecting system based on OPC UA protocol, which can solve multi-level data collection, transmission and monitoring problems of each bottom device, measuring instrument, automatic control system and so on on the industrial site, realize data transparency of complicated bottom automation equipment and improve information integration modes. The equipment data collecting system based on the OPC UA protocol is characterized by comprising a bottom adapter, an OPC UA middleware and an upper application, wherein the bottom adapter comprises a data modulation module and a data transmission module, wherein the data modulation module is used for taking out bottom equipment data value needed by a user, data values of a plurality of communication protocols can be taken out through configuration, and the data transmission module is used for transmitting the data value taken out from the data modulation module to the OPC UA middleware at a configured speed; the OPC UA middleware comprises a data service center and a Modeling and configuring module; and the data service center comprises a data collection module, an even processing module, an OPC UA real-time data server and a history data module.

The invention relates to a distributed heterogeneous network vulnerability mining method based on the Fuzzing algorithm. The method comprises the following steps: performing automatic analysis on a network protocol of a test target, and determining protocol key information of the test target; performing comprehensive description on the protocol key information, combining the protocol key information into a specific data structure, and constructing a protocol test script; combining operation states of the protocol into a protocol vulnerability mining path map according to the protocol test script; sending a test script to the test target according to the protocol vulnerability mining path map and a control instruction, sending the control instruction to a target monitor, and receiving monitoring information from the target monitor; and storing the sent test script and the tested vulnerability information, and displaying the same in an information display interface. By adoption of the distributed heterogeneous network vulnerability mining method provided by the invention, the coverage and validity of protocol mining are improved, and the leakage probability of the vulnerability is reduced; and a friendly operation interface is provided to display corresponding information in real time, thereby facilitating the user check ad reducing the entry threshold of vulnerability mining.

The invention discloses a corresponding-period grid-connection simulation platform and simulation system of a pumped power storage unit under the different working conditions. A simulation function is provided for corresponding-period grid-connection research of the pumped power storage unit. The corresponding-period grid-connection simulation platform comprises a pumped power storage unit module, an infinite power grid module, a stationary frequency converter, a back-to-back starting unit module, a main transformer module, an SFC output transformer module, a step-down transformer, a corresponding-period adjusting module, an excitation control module, a water turbine speed regulation module, a back-to-back starting speed regulation module, a grid-connection circuit breaker module, a starting circuit breaker module, a first voltage monitoring module, a second voltage monitoring module, a rotation speed detection module and a monitoring system module. Simulation models of the pumped power storage unit under the different working conditions can be established by combining and adjusting functional modules, and a grid-connection simulation function of the pumped power storage unit under multiple operating working conditions including generator working conditions, water pump working condition back-to-back starting, water pump working conditions, SFC starting and the like and multiple starting modes can be achieved.

The invention provides a multi-relation collaborative filtering algorithm based on a graph neural network, and the algorithm comprises the steps: 1, processing the historical interaction data of a user and an article, and extracting all user sequences UU and article sequences SI from the historical interaction data; and step 2, respectively constructing each user sequence SU and each article sequence SI into a user relationship graph GU = (VU, EU) and an article relationship graph GI = (VI, EI). The invention provides a multi-relation collaborative filtering algorithm based on a graph neural network. The article relationship and the user relationship are modeled at the same time by constructing the article relationship graph and the user relationship graph from the user and article interaction data, the multiple relationships are fused into the learning process of user and article interaction, and the influence of the multiple relationships on user and article interaction is learned, so that the model can better model user preferences.

The invention discloses a measuring method for diamond coating film-substrate interface bonding strength based on molecular dynamics. The method is mainly characterized in that with the help of the molecular dynamics theory and simulating calculation software, a hard alloy substrate diamond coating film-substrate interface model is established, simulating calculation is performed on the mechanical property of a film-substrate interface, a hard alloy substrate diamond coating film-substrate interface bonding strength predicating model is established based on a simulating result, and the diamond coating film-substrate interface bonding strength is accurately measured through the predicting model. In this way, the defects that various existing experimental measurement methods, such as a scraping method, an indentation method and a bubbling method, are long in consumed time and low in measuring accuracy are overcome, a basis and a foundation can be provided for optimizing and industrializing a diamond coating technology, and the measuring method has wide application prospects.

The invention provides an equivalent coordinative optimization method for a large-scale power grid dispatching plan. The optimization method comprises the steps as follows: (1) a large power grid is divided into a plurality of regional power grids, and the regional power grids are taken as equivalent nodes; (2) the regional power grids submit information of the equivalent nodes to the whole grid; (3) the whole grid determines a generation dispatching plan under the equivalent regional power grids, and issues a connecting line plan between the regions, planned total output of the regional power grids and a plan of a direct dispatching set; (4) the regional power grids calculate and determine output plans of regional sets according to the planned total output of the regional power grids, and calculate locational marginal cost; and (5) whether full-grid optimization is converged or not is judged through the marginal cost of two ends of a connection line, if so, calculation is ended, if not, the set which affects the grid security constraint corrects output bounds according to the optimization result and turns to the step (2). The iteration times can be controlled; the convergence is rapid; and rapid determination of the large power grid dispatching plan can be achieved.

The invention discloses an active contour tracing method based on superpixel. The method comprises the following steps of carrying out the superpixel segmentation on a training image to obtain a training sample pool of a target and a background, adopting a measuring learning method to obtain a distance measuring projection matrix according to a training sample, establishing a judgment-type appearance model, carrying out the superpiexel segmentation on each frame of test image of a sequence image, obtaining a confidence diagram corresponding to the test image according to the established judgment-type appearance model, obtaining a speed field of the test image, substituting the speed field into an evolution equation of a level set method, and obtaining a contour trace result of the test image. Compared with the prior art, the contour evolution efficiency of each frame of test image can be improved, and the tracing accuracy and tracing efficiency of the sequence image can be improved.

The invention relates to a power cell management system of an electric vehicle, particularly relates to a method for estimating a charge state of a power cell of the electric vehicle and aims to improve charge state estimation precision and charge state estimation stability of the power cell in the cell management system of the electric vehicle. The method comprises steps that an end voltage and charging and discharging currents of the power cell are acquired; a system model of the power cell is established; an ampere-hour integral method and state observers CDKF, AEKF and H infinity are employed to cooperate with the system model to respectively estimate charge states of the power cell to acquire zk, Ah, zk, CDKF, zk, AEKF and zk, Hinf, weight calculation of the zk, Ah, zk, CDKF, zk, AEKF and zk, Hinf is carried out to acquire final estimation values zk, zk=w1zk, Ah+w2zk, CDKF+w3zk, AEKF+w4zk and Hinf, and weight coefficients w1+w2+w3+w4=1. According to the method, multiple methods are employed for estimation, the final estimation value is acquired through weight calculation, accuracy can approach 2%, most of accuracy can approach 1%, and properties of non-easy divergence and high stability are realized.

The invention discloses an interest recommendation method and system based on a user sequence click behavior, and the method comprises the steps: firstly obtaining the historical interaction project data of a user, and forming a historical interaction project sequence of the user; constructing an interest recommendation model; carrying out session division on the historical interaction item sequence of the user by utilizing an interest recommendation model; extracting interests in each session obtained after division, and performing weighting processing on the interests in each session to obtain a session interest sequence of the user; interacting interests among different sessions to obtain a dynamic interaction model among different sessions; and inputting the session interest sequence of the user into a dynamic interaction model between different sessions, and predicting and obtaining a to-be-recommended target project sequence.

The invention discloses a knowledge modeling method and system used for aided design of a mechanical product scheme. The method comprises the steps of firstly performing overall function scheme designknowledge modeling to build a function-scheme template tree knowledge model and a function scheme design example model; and secondly establishing function or scheme design modules, establishing association with a function-scheme template tree, building a check function scheme design model and a parameter reasonability scheme check rule, combining the design modules in the form of a reconfigurablemodule process or task process, building a scheme design process model, and realizing parameter value automatic transmission and design process guide functions. The system comprises a function schemeaided design module, a module process aided design module, a task process aided design module, a design module control module and a system main control module. According to the method and the system,the knowledge modeling difficulty can be lowered; and the knowledge modeling method and the corresponding aided design system which conform to thinking habits of engineers and are reusable are provided.

The invention discloses a simulation method for electromagnetic scattering characteristic of a plurality of non-coaxial rotating symmetric bodies. The simulation method comprises the following steps of: building a model of each rotating symmetric body and a corresponding equivalent sphere; respectively building first and second local rectangular coordinate systems on each rotating symmetric body; determining the excitation vectors by using plane wave as an excitation source; respectively building scattering matrixes in the first local coordinate system of each rotating symmetric body; building a third local rectangular coordinate system for every two equivalent spheres and determining the transmission matrix between the two equivalent spheres; building rotating matrixes among the first, second and third local rectangular coordinate systems; building an equation set and obtaining equivalent electromagnetic flow on each equivalent sphere by using an iteration method; and determining the scattering field of a remote area, thus obtaining the radar scattering section area. The simulation method disclosed by the invention provides a quick and efficient solution for electromagnetic scattering simulation of a plurality of rotating symmetric bodies, saves spatial resources, and can accurately and quickly simulate the electromagnetic scattering characteristic of the plurality of non-coaxial rotating symmetric bodies.

The invention relates to augmented reality (AR) equipment with functions of dust prevention and cleaning for engineering design. The AR equipment comprises a main body, a display screen, lenses, cameras, a dust prevention mechanism and a cleaning mechanism, wherein the dust prevention mechanism comprises a lifting assembly and a fastening assembly; the cleaning mechanism comprises a swing assemblyand a reciprocating assembly. The AR equipment with the functions of dust prevention and cleaning for engineering design is provided with the dust prevention mechanism, so that a dustproof cover canbe enabled to extend out from the interior of the main body for the use of an engineer, and the influence, caused by dust easily entering the respiratory tract, to a human body is prevented; furthermore, the dustproof cover can be stored in the dust prevention mechanism, thus being convenient to carry and place; the cleaning mechanism can be used for wiping water mist and dust on the surfaces of the lenses, thus enabling the lenses to be clean and clear and facilitating the cameras to acquiring the surrounding data; therefore, AR modeling is bettered performed, the effect of the engineering design is improved, and the practicality of the AR equipment is improved.

The present invention discloses a method for online identifying a measurement deviation fault for a traction substation instrument transformer. The method comprises the steps of: 1) modeling data selection and preprocessing: selecting data within I contiguous time points from instrument transformer valid measurement history data when a traction substrate is idle and all instrument transformer are operating properly, to form a matrix, and conducting standardized processing therefor; 2) establishing a primary element analysis model; 3) squared prediction error (SPE) calculation of the real-time sampling set of the instrument transformer; 4)online detection of the instrument transformer measurement deviation fault; (5) calculation of the SPE contribution values of the instrument transformers; and 6) identification of the instrument transformer subject to the measurement deviation fault. With the method according to the present invention, an instrument transformer subject to a measurement deviation fault can be online identified only by processing the measured valid data of all the instrument transformers in the traction substation, with no need of additionally arranging a waveform recording device. Therefore, the requirement on the hardware is low, the implementation cost is low, and the method is simple for promotion and application.

The invention discloses a bearingless switched reluctance generator. The generator is of a double-salient structure consisting of a stator iron core and a rotor iron core, wherein four suspension electrodes and four generating electrodes are arranged on the stator iron core at equal interval, and the generating electrodes are opposite pairwise in a radial direction; the width of a stator electrode of each suspension electrode is more than that of a stator electrode of each generating electrode, and the width of a rotor electrode is same as that of the stator electrode of each generating electrode; independent suspension windings are wound on the suspension electrodes respectively; and a drive winding and a generating winding are arranged on the generating electrodes respectively in a lap winding way, and two radial opposite windings are connected in series. According to the bearingless switched reluctance generator, the technical problem of non-linear strong coupling between suspending power and generating voltage is solved, the radial load capability is enhanced, and the suspension performance is improved.

The invention relates to a joint-simulation-based on-bridge ballastless turnout structure system and a dynamic analysis method thereof. The dynamic analysis method of the joint-simulation-based on-bridge ballastless turnout structure system comprises the following steps of firstly finishing the model establishment of a balastless track and bridge structure by utilizing the ABAQUS software; secondly finishing the model establishment of a vehicle and a turnout by utilizing the SIMPACK software; finally establishing rigid-flexible coupled wheel-track contact relationship in the SIMPACK software to form a vehicle-turnout-bridge coupling system model, and realizing the connection and the coupled solution of a vehicle model, a turnout model and a bridge model. According to the joint-simulation-based on-bridge ballastless turnout structure system and the dynamic analysis method thereof, which are disclosed by the invention, the complex wheel-track contact relationship of a turnout zone is fully considered, and the model establishment of a turnout and bridge structure is finished according to the actual state to the greatest extent so as to ensure the detailedness, the completion and the accuracy of the model; the model establishment is finished by utilizing the business software, so that the production, the design and the application are convenient, and the improvement is remarkable by comparing the modeling method provided by the invention with the traditional modeling method.

The present invention relates to the field of the interior design software system, and discloses a modeling assisting and budget exporting system for residential interior design informatization software. The system comprises a one key decoration module, a single selection decoration module, a model establishment module, and an export module. The one key decoration module comprises a decoration series selection module and a room matching module that are used for arrangement of different room types; the single selection decoration module comprises a decoration information module and an editing module; the model establishment module establishes a model according to decoration information set by the one key decoration module and the single selection decoration module; and the export module is used for exporting a price list and a detail list. According to the system disclosed by the present invention, based on a standardized database, modeling and budgeting functions are carried out on the interior decoration. One key decoration module can meet requirements of room design integration for a user; the single selection decoration can meet requirements of room design individuation for the user; and the arrangement of the export module enables the user to have an intuitive understanding of materials and costs that are required to implement the project.

The invention discloses a calculation method of subsatellite points and photographic point trajectory self-intersection points of a near-earth regression orbit satellite. Based on an orbital perturbation model of the earth oblateness (J2), the mean influence of the earth oblateness on the long-term perturbation of the right ascension of the ascending node, the perigee argument and the aplanatic angle is utilized, so that the mean drift period and the orbital intersection period of the satellite orbital plane relative to the earth resonate, and revisit regression of the orbital relative to thesubsatellite point and the photographic point trajectory of the earth surface is formed. After the orbit inclination angle, the eccentricity ratio, the regression days and the period number are given,the orbit semi-major axis can be solved, then the longitude of the sub-satellite point trajectory self-intersection point is analyzed and solved, the latitude of the self-intersection point under thecorresponding precision is screened out through numerical screening, and the distribution situation of the sub-satellite point trajectory self-intersection point in one regression period can be obtained. The invention provides a practical near-earth regression orbit sub-satellite point trajectory self-intersection point calculation method, and the method has important application value in near-earth surveying and mapping, remote sensing, reconnaissance, InSAR and other regression orbit satellite measurement tasks.

The invention provides a tree simulation method based on generalized parametric modeling, comprising the steps of: step 1, inputting nongeometric parameters relevant to tree growth; step 2, selecting and reading corresponding geometrical data according to the nongeometric parameters, wherein the geometric data file is generated by the following mode: calibrating a tree seed function structure model on the basis of real-measurement data to obtain the tree seed function structure model, then utilizing the tree seed function structure model to generate a geometric data file of the tree seeds corresponding to different nongeometric parameter values; step 3, establishing a rudimentary model according to the geometric data file; step 4, inputting geometric parameters of a tree to adjust the rudimentary model so as to obtain a tree model; and step 5, carrying out fast and realistic drawing on the tree model. In the tree simulation method, the appearance form and the inner biological mechanism of the tree can be fully unified together, and a geometric model for fully reflecting the tree growth rule can be established.

The invention relates to the technical field of wisdom city geographic information service and particularly relates to a construction method of a sensor network heterogeneous node element model. The construction method of the sensor network heterogeneous node element model solves the problem that an existing sensor network heterogeneous node is lack of effective description means and information models are not uniform, the sensor network heterogeneous node element model is constructed, five kinds of metadata construction members and a node information description framework of a nine-tuples structure are provided, and metadata elements of heterogeneous node information are extended. Compared with an existing sensor network resource information model and a management mode, content of the sensor network heterogeneous node element model comprehensively describes metadata information of the heterogeneous node, and the construction method of the sensor network heterogeneous node element model provides a universal meta-model framework and modeling standard for information description of the heterogeneous node, provides support for unified management and accurate find of the heterogeneous node, and is proved to be a practical and reliable method favorable for heterogeneous node modeling in sensor network resource management.

The invention belongs to the technical field of vehicle parameter measurement, and particularly relates to a recognition method for rotational inertia around z axis and tire cornering stiffness of an automobile. The method comprises the following steps: (1) operating steering wheel angle impulse test according to an automobile operation stability testing method to acquire data, wherein the data comprises a steering wheel angle, yaw velocity, lateral acceleration and a vehicle speed signal; (2) recognizing a transfer function of a vehicle system equivalent two-degree-of-freedom vehicle model through a least square method by using the data acquired by the step (1); (3) recognizing the yaw rotational inertia around the z axis and the tire cornering stiffness of the automobile included in the transfer function obtained by the step (2) through a nonlinear least square method. According to the method, the use of other large-sized experimental instruments is avoided, and the research cost is effectively reduced; the data used by the method is convenient to measure so as to finally facilitate modeling; the speed is high, quick development of research work is facilitated, and the method has higher practicability.

A melt and concrete interaction analysis method based on a particle method mainly comprises the following steps that 1, conducting particle modeling, and setting initial arrangement and parameters ofparticles; 2, establishing and dividing a background grid according to nodes, and retrieving neighbor particles; 3, calculating the enthalpy value, temperature and phase state of the particles; 4, calculating eutectic and chemical reactions, updating particle matter components and physical property parameters, meanwhile, calculating chemical heat and updating the particle enthalpy value, temperature and phase state; 6, calculating gas motion and updating the particle type, speed and position; 7, displaying and calculating a viscosity item, a surface tension item and a gravity item in the momentum equation, and estimating the particle speed and position; 8, displaying and calculating a pressure item in the momentum equation by using the estimated particle position, and correcting the particle speed and position; 9, outputting a calculation result. All phenomena of interaction between the melt and the concrete are considered. Based on a particle method, the free liquid level can be accurately captured and modeling and accurate phase change processing are facilitated and large-scale calculation is facilitated by adopting the display pressure model.

The invention discloses a qualitative detection method for an illegal ingredient, i.e., Sudan red, in raw materials of feeds. According to the method, suspected areas are primarily screened through microscopic image processing, so a detection scope is reduced; then a microscopic Raman imaging spectrometer is used for detecting the Raman spectra of the suspected areas, the spectra are pretreated so as to obtain training samples, an IVISSA method sensitive to classes is used for waveband selection, and the IVISSA method can select characteristic peaks of Sudan red substantially different from characteristic peaks of other components, which enables detection efficiency and accuracy to be improved; the average spectrum of each training sample is taken and incorporated into a standard spectrum matching database; and the microscopic Raman spectrum of an unknown sample is acquired according to coordinates of detection points obtained in primary image election, then same spectral pretreatment is carried out, and a same wavelength variable is chose for one-to-one matching with each spectrum in the standard spectrum matching database according to a feature enhanced spectral angle matching method so as to determine whether the unknown sample contains Sudan red or not. The qualitative detection method has the advantages of rapid detection, good stability, and lower false positive rate and detection limits.

The invention provides an industrial Internet platform monitoring data transmission and exchange method and system, and the method comprises the steps: the operation data of equipment is collected inreal time, the edge data processing is carried out, and the processed data is uploaded to an enterprise management platform; the enterprise management platform monitors the production operation statein the workshop and uploads the production operation state to the industrial Internet platform for data collection and analysis; data transmission from the industrial Internet platform to the monitoring platform is realized through an identity authentication and encryption technology; and the monitoring platform performs data processing after receiving the data, and performs data modeling and analysis on the processed data. According to the invention, the collection of heterogeneous data of various data sources is realized, and the standardization, openness and shareability of monitoring platform data are ensured by setting a data conversion standard, so that the modeling and analysis of the data are facilitated, the problem that industrial data cannot be shared in the prior art is solved,the data sharing is realized, and the utilization rate of information resources is improved.

The invention relates to the technical field of transportation, and aims at providing a method for establishing a high-speed train initial delay influence prediction model. The invention comprises a method for establishing an initial delay influence train number prediction model and a method for establishing an initial delay influence total time prediction model. The method for establishing an initial delay influence train number prediction model comprises the following steps of: comparing different alternatives of the first machine learning classification model, selecting the final first machine learning classification model, and selecting the final first machine learning classification model as the initial delay affecting train number prediction model. The method for establishing an initial delay influence total time prediction model comprises the following steps of: comparing different alternatives of the second machine learning classification model, selecting the final second machine learning classification model, and selecting the final second machine learning classification model as the initial delay influence total time prediction model. As that model process of the invention is convenient, the number of trains affected by the initial delay and the total time are predicted.

The invention discloses an intelligent granary environment safety monitoring system based on a field bus. The system is composed of a granary environment parameter collection platform based on a CAN field bus, and a granary environment safety evaluation subsystem. The system realizes the intelligent detection of granary environment parameters and the intelligent evaluation of granary environment safety. Many problems still existing in the granary environment caused by the unreasonably designed and poor traditional granary environment multi-parameter detection equipment, the incomplete detection system and the like are solved. Based on the nonlinearity and large lag of granary environment parameter changes and the large area and complex structure of the granary environment, the defects of inaccuracy, low reliability and the like of a granary environment monitoring system are overcome, accurate detection and reliable classification of granary environment parameters are realized, and therefore, the accuracy and robustness of granary environment parameter detection are greatly improved.