84results about How to "Meet the needs of analysis" patented technology

The present invention relates to an analysis and prediction method for dynamic performances of a rubber material structure, and particularly to a step-by-step analysis and prediction method for the dynamic performances of the rubber material structure. The step-by-step analysis and prediction method is used for performing finite element analysis and prediction of the high-frequency dynamic performances on the rubber material structure. The method comprises the following test and prediction steps: step one, fitting a super-elastic constitutive relation of the rubber material; step two, performing a viscoelasticity property test on the rubber material under different strain amplitudes; step three, fitting a viscosity constitutive relation of the rubber material; and step four, analyzing and predicating the dynamic performances of the rubber material structure. A calculation result is a final result, without the need of superposition of the calculation result, thereby reducing the computational difficulty and shortening the solution time; and an actual modeling and analysis process is more simple, clear, and easy to understand and operate, and has higher prediction accuracy, so as to meet the requirements of engineering analysis.

The invention discloses a radar anti-jamming efficiency assessment credibility measurement realization method. For a relationship between mode classification and efficiency assessment, the efficiency assessment is regarded as efficiency grade classification, and from classification credibility, the assessment credibility is researched. An uncertainty theory is introduced in the method to realize uncertainty processing of test data. A credibility measurement method for an assessment model is obtained through calculation according to performance assessment indexes of the classification model. Multiple single-sample classification credibility calculation methods are fused to obtain a widely used single-sample assessment credibility calculation method, and further through a credibility propagation model, a comprehensive efficiency assessment credibility measurement result is obtained. According to the method, the radar countermeasure efficiency assessment credibility comprehensive analysis can be processed, and a complete analysis process and a corresponding calculation formula are given; and the assessment result analysis demands can be met in most weapon system efficiency assessment.

The invention discloses a method for constructing a protection big data fault characteristics system based on wave recording and scanning technology. The method comprises the following steps: through the decoding of a wave recording file, accessing the waveform data of all sampling points; calculating the valid values and determining whether adjacent waves experience mutations or not; for the unit experiencing mutations in their valid values, using the slope mutations of the sampled values prior to or after the unit to determine the accurate mutation point and to determine the fault time; extracting the local characteristics quantity of the voltage and current waveform in the wave recording data; representing in multiple dimensions the characteristics information extracted from the data window given on the waveform; and using the fault time as the critical point to form local characteristics quantities at different times in the scanned waveform data prior to and after the fault and to construct a complete fault characteristics system. According to the invention, in multiple perspectives and dimensions, fault characteristics data are excavated and extracted, and based on the requirement of a protection big data analyzing platform and a big data theory, a fault characteristics system structure is formed, which can ensure the realization of higher-level of application functions of the protection big data in a power grid system.

The invention belongs to the technical field of movement behavior and social relations analysis, in particular to an offline social relations classification method based on user movement behavior and a device. The social relations classification method based on user movement behavior comprises the steps that individual behavior record of users are acquired from a user movement behavior log database, a user behavior matrix and a space and time interaction matrix between every two users are constructed and two interaction characteristics evaluating user social similarity and interaction regularity are extracted; spatial temporal entropy and regularity are obtained; random processing is conducted on the user individual movement behavior through a null hypothesis, a null model of a user individual behavior matrix and a time and space interaction matrix between the users is constructed, and according to the null model and the preset probability, the spatial temporal entropy random threshold value and regularity random threshold value are determined; by comparing the value relationship between the user interaction matrix in the spatial temporal entropy and the regularity and random threshold value of the user interaction matrix, the offline social relations between the two users are determined. The social relations classification method based on user movement behavior and the device are capable of being used for distinguishing offline acquaintance relations from stranger relations, digging out the familiar stranger relations between the two and improving the accuracy and the practicability of offline social relations classification.

The invention provides a nonlinear cooling optimization method for a power battery of a new energy automobile. Firstly, a lithium ion battery concentrated mass thermal model under a new energy automobile liquid cooling condition is established, and the model considers the change of battery internal resistance along with temperature and the change of a heat transfer coefficient along with the flowrate of cooling liquid, so that the requirement on battery temperature influence factor analysis in the cooling process can be met; secondly, a nonlinear cooling optimization strategy which comprisesthe design of a steady-state control law, the design of a reference variable feedforward control law and the design of an error feedback control law is proposed. The method guarantees the accuracy ofthe model, facilitates the research of the overall performance of the lithium ion battery and related influence factors, guarantees the steady-state closed-loop performance of the system, facilitatesthe enlargement of the engineering application range of the controller, can effectively adjust the temperature of the battery, prevents thermal runaway, and guarantees the safety of the power batteryof the electric vehicle.

The invention provides a wind field characteristic statistical distributing model building method based on genetic algorithm. The implementation process is as follows: A, processing original wind speed and wind direction data; B, estimating parameters in a wind speed probability density function; C, estimating parameters in a wind direction probability density function; D, estimating parameters in a related coefficient probability density function; E, obtaining a wind speed and wind direction joint distribution function.

The invention discloses a method for preparing a PCR template rapidly in a large batch manner, belongs to the technology field of plant molecule detection, and in particular relates to thermal cracking of plant tissues in lysate in order to realize the neutralization with the lysate. The method adopts the technical proposal that trace plant leaves are put in the lysate with certain volume for thermal cracking and neutralization; reaction mixed solution can be used as the template of PCR reaction directly; the PCR reaction is stable and the repeatability is strong under the circumstance of adding with proper polymerase stabilizing agent. The method is particularly suitable for the rapid preparation of the PCR reaction template in the large batch manner, greatly increases the efficiency of the molecule detection and the genetic analysis, and lowers the cost extremely markedly.

The invention discloses a method for acquiring the harmonic characteristics of a power grid containing new energy stations, which is characterized by comprising the following steps: establishing a node admittance matrix of a linear network part; acquiring frequency response data of equivalent admittance of new energy stations by simulation or field test, and using the frequency response data to form supplementary admittance matrixes of the new energy stations at different frequencies; including the supplementary admittance matrix of each new energy station in the node admittance matrix of thelinear network part to form a node admittance matrix of the whole power grid; and acquiring the harmonic distribution of the whole power grid under harmonic disturbance according to the node admittance matrix of the whole power grid, and evaluating the harmonic distortion and overvoltage risk of the power grid. The need for harmonic characteristic analysis is satisfied.

The invention provides a power system fault characteristic quantity modeling method based on fault wave-recording data. According to the method, a primary equipment model of a power system is established based on the fault wave-recording data, the primary equipment model is associated with a wave-recording channel in a fault wave-recording file, and a wave-recording analysis model is obtained; thefault wave-recording data in time periods before and after a fault moment is extracted, and fault characteristic quantities of all primary equipment components are calculated; and the wave-recordinganalysis model and the fault characteristic quantities are stored in a database to be used for fault diagnosis and accident analysis. Through the method, the wave-recording data is analyzed from multiple perspectives, digital and quantitative processing is performed on wave-recording sampling information through the characteristic quantities of different dimensions, the fault characteristic quantities of multiple dimensions are obtained, and realization of various advanced applications can be guaranteed; and unstructured wave-recording data is converted into a structured fault characteristic quantity model, so that the operation reliability and rapidity of other advanced applications are improved.

The invention discloses a topological relationship query method and device, electronic equipment and a medium, and relates to the technical field of computers. According to the specific implementation scheme, when a topology query request is received, at least one piece of micro-service node pair information is read from a pre-stored micro-service node pair set according to query conditions in the topology query request, wherein the micro-service node pair information comprises information of two micro-service nodes with a calling relationship; the method also includes generating topological graph expression data according to the read micro-service node pair information; and drawing a topological relation graph according to the topological graph expression data and displaying the topological relation graph. According to the embodiment of the invention, the micro-service node pair information is read from the pre-stored micro-service node pair set to generate the topological graph expression data, and finally the topological relation is drawn according to the topological graph expression data, so that node information and upstream and downstream relations do not need to be summarized in real time, the query performance is improved, and a data real-time processing cluster does not need to be established, so that the resource overhead is reduced.

The invention provides a preparation method of high-magnetic-induction grain-oriented silicon steel EBSD samples. According to the technical scheme, 1 to 10 different types of high-magnetic-induction grain-oriented silicon steel are cut into original samples independently, wherein the size of original samples meets the equation RD*ND*TD=(9-11)*(0.3-4)*(4-6); the original samples are embedded in a conductivity type inlay to obtain an inlay sample; mechanical polishing is conducted on the inlay sample, the inlay sample is cut into cut samples with the size meeting the equation RD*ND*TD=(14-16)*(6-8)*Hmm, and washing and blow-drying are conducted; then, materials are prepared according to the volume ratio, of NHO3 to glacial acetic acid to C2H5OH, of 4 to 1 to 94-97, and mixing is conducted to obtain destressed corrosive liquid; finally, the destressed corrosive liquid is dropwise added to the target observation faces of the cut samples at the speed of 1-2 drops per second for 8-10 seconds, and rapid cleaning and blow-drying are conducted. The preparation method has the advantages that operation is easy and convenient, the requirement for conducting data acquisition on high-magnetic-induction grain-oriented silicon steel in the whole thickness direction can be met, the vacuumizing time can be saved, and the detection efficiency can be improved.

The invention discloses a multilingual news text clustering method, which comprises the following steps: obtaining the text characteristics of each monolingual news text in the multilingual news textin advance; clustering the monolingual news text according to the text characteristics of each monolingual news text based on the keyword coincidence degree, and obtaining a monolingual clustering cluster set of each monolingual news text correspondingly; according to the monolingual clustering set of each of the monolingual news texts, a cross-linguistic clustering set of the multilingual news texts being obtained. Correspondingly, the invention also discloses a computer-readable storage medium and a terminal device. The technical proposal of the invention can realize large-scale clustering of multilingual news texts without relying on multilingual resources, meet the requirements of multilingual network public opinion analysis of Chinese, English, Indonesian and Malay, and improve clustering speed and efficiency.

The invention relates to the field of information processing, in particular to a video concentration method. The video concentration method includes the steps that DCT conversion is conducted on each image in the same video in advance, the DC coefficient of each image is determined, then one specified single-frame image or a plurality of specified single-frame images belonging to the same video sequence are selected to be used as keyframe images according to the difference of the DC coefficients of every two adjacent images or a plurality of images, the difference values of the DC coefficients of the keyframe images and the DC coefficients of one adjacent original single-frame image or a plurality of adjacent original single-frame images are smaller than a preset numerical value, then the keyframe images constitute a concentrated video according to the preset sequence, the DC coefficients are main information carriers of DCT coefficients, within the induction range of a human visual system, the analysis demand can be completely met, hence, in the video playing process, video continuity cannot be affected, and therefore the defects in the prior art are overcome.

The invention relates to a transwell detection device and method based on a terahertz attenuated total reflection technology. The transwell detection device and method can be used for conducting quickunmarked quantitative detection on cells on the lower layer of a transwell experimental cavity. The transwell detection device comprises a terahertz signal generation unit, a total reflection prism detection unit, a terahertz signal receiving unit, a time delay control system and a signal processing unit. The terahertz signal generation unit comprises a femtosecond laser light source, a laser beam splitter, a super-hemisphere Si-lens I and a photoconductive antenna I. The total reflection prism detection unit comprises a transwell cavity and a total reflection prism from top to bottom, a permeability porous thin film is arranged at the bottom of the transwell cavity, a unicellular layer is attached to the position under the porous thin film, and the unicellular layer makes close contact with the total reflection prism. The terahertz signal receiving unit comprises a photoconductive antenna II. The time delay control system comprises a time delay device.

The invention relates to a portable tidal beach swamp sediment sampler and a sampling method thereof. The sampler comprises a hollow sampling pipe, a handrail, an end sealing plate and one or more steel wire ropes, wherein small holes matched with the one or more steel wire ropes in number are formed in the side wall of the lower end of the sampling pipe; the lower ends of the one or more steel wire ropes pass by the small holes from the outer side of the sampling pipe, penetrate into the sampling pipe and are connected with the end sealing plate; when the one or more steel wire ropes are upwards tensioned, the end sealing plate is pulled to rotate to seal the lower end surface of the sampling pipe; a plurality of large-area hollowed-out holes are formed in the side wall of the sampling pipe; the upper part of the sampling pipe is connected with the handrail. According to the sampler and the sampling method thereof, completeness of sampled samples is guaranteed, sampling is easy to realize, and the sampler is simple in structure, labor-saving during operation and good in use effect.

The invention provides a method for determining the content of niobium, silicon and phosphorus in ferromanganese niobium. The method comprises steps that mixed acid, nitric acid and hydrofluoric acidare sequentially added to a ferromanganese niobium sample, after the ferromanganese niobium sample is completely dissolved, the dissolved sample solution is placed in a volumetric flask to prepare thetest solution of to-be-tested elements, the mixed acid is prepared from aqua regia and the dilute sulfuric acid at a volume ratio of 4-7.5:1, a matrix mother solution and a standard solution of the to-be-tested elements are prepared; the content of the to-be-tested elements in the ferromanganese niobium is determined according to the test solution of the to-be-tested elements, the matrix mother solution and the standard solution of the to-be-tested elements; the to-be-tested elements are at least one of niobium, silicon and phosphorus.

The invention relates to a method for analyzing multi-line multifunctional domain names of a network and provides the method for analyzing the multi-line multifunctional domain names and comprises broadband terminal software installed in a broadband terminal which is accessed in the network by a TCP / IP protocol. The method comprises the following steps: (a) arranging a server at the center end for users to use a multi-line multifunctional domain name analyzing platform; (b) mounting the broadband terminal software on the broadband terminal; (c) applying user names and passwords on the server of the center platform; (d) setting related parameters of the broadband terminal software; and (e) enabling the server of the center platform to receive data submitted by the broadband terminal software and analyzing the multi-line multifunctional domain names of the related parameters according to the data submitted by the broadband terminal software.

The invention discloses a wide-energy-spectrum neutron measurement system for characteristic peak searching. The system can be used for on-line measurement of energy spectrum and flux of a high-energyand high-current neutron radiation field in a narrow-space strong-irradiation environment. The measurement system comprises a neutron probe, an electronics system and an energy spectrum analysis system. The neutron probe adopts a composite detection structure. The composite detection structure is divided into four neutron sensitive regions, wherein the regions are separated by metal walls; and each region is internally coated or filled with different neutron sensitive materials. The intermediate neutron sensitive region can adjust and control the energy response peak energy region by changingcomponents of the filling materials. In the energy spectrum analysis system, a characteristic peak searching wide-energy-spectrum spectrum unfolding method is adopted. The system is novel in structure, has a small and compact in neutron probe, can carry out real-time measurement in a small space and realizes real-time accurate measurement of neutron flux and energy spectrum. The system has the advantages of high measurement accuracy, needing no preset spectrum and high anti-disturbance capability.

The invention discloses a calculator solution suitable for waveform display in an integrated circuit simulation tool, belongs to the technical field of computer aided design of an integrated circuit and particularly relates to the field of integrated circuit digital simulation, analog simulation and digital-analog hybrid simulation. Aiming at a function of carrying out calculator analysis on an output result of the large-scale integrated circuit simulation tool, the invention discloses a waveform calculation expression construction method on the basis of lex lexical analysis and yacc lexical analysis and defines four groups of waveform calculation functions. In the practical engineering application, the solution can well meet the requirement of an integrated circuit design engineer on simulation result analysis and greatly improve the design efficiency.

To solve the problem that dynamic modeling is difficult under the condition that a micro-grid has an unknown part, the invention belongs to a modeling method, and particularly relates to a micro-grid dynamic equivalent modeling method based on a GRU recurrent neural network, which comprises the following steps of: firstly, acquiring disturbance data of a micro-grid common coupling point during disturbance; secondly, determining the structure and parameters of the GRU recurrent neural network, and finally training the GRU recurrent neural network by using the collected disturbance data, and collecting a proper amount of simulation results as training and test data of a neural network model to be established to obtain a dynamic equivalent model capable of representing a micro-grid containing an unknown part. According to the method, a dynamic equivalent model of the microgrid based on the GRU recurrent neural network is established by utilizing the good capacity of the GRU recurrent neural network for processing complex nonlinear problems and the capacity of the GRU for overcoming gradient disappearance and explosion, so that the dynamic performance of the microgrid with an unknown part is accurately expressed, the requirement of system analysis is met. The gap of short-term scale dynamic modeling research of the micro-grid is filled.

The invention discloses a visualized structured query language (SQL) condition tree establishing method, comprising: judging whether each of SQL conditions to be established belongs to an attribute operation expression formula, using the conditions belonging to the attribute operation expression formula as first-layer leaf nodes, using the conditions which do not belong to the attribute operation expression formula as first-layer middle nodes, partitioning the conditions which do not belong to the attribute operation expression formula into more than one first sub-condition group according to an and / or relation, and so on till all conditions are dissolved into the attribute operation expression formula; and establishing a default condition group according to the SQL conditions to be established, using the default condition group as a root nodes, and establishing an SQL condition tree according to the determined middle nodes and leaf nodes on each layer. Furthermore, the SQL condition tree is showed in two columns of condition group names and an operation relation by an operation interface. The invention also discloses a visualized SQL condition tree establishing device.

The invention discloses a serial port data analysis method and device. In the method, a serial port data analysis program comprises analysis strategy interfaces required by communication protocols suitable for different serial ports; therefore, for a serial port of any communication protocol, a communication protocol currently configured for the serial port by a user is only required to be acquired; thus a target analysis strategy interface required for analyzing the communication protocol of the serial port can be determined; and the data received by the serial port is analyzed by utilizingthe target analysis strategy interface, so that the interface data analysis program can be suitable for analyzing the data received by interfaces of various different communication protocols, and therequirement for analyzing the data of various different communication protocols is met.

The invention belongs to the field of electromagnetic compatibility, and mainly solves a problem of crosstalk analysis of a non-uniform transmission line network. Combining with the advantages of a BLT equation and an FDTD method, the invention proposes a BLT-FDTD mixed method. The method can carry out the analysis of a cable network comprising a non-uniform transmission line, enables the calculation efficiency to be maximized under the condition that the analysis precision is guaranteed, and can meet the analysis demand of a cable network of an actual complex system. The method is high in practical value, can be applied to the electromagnetic compatibility analysis at different levels, and is good in application prospect in the fields of electromagnetic interference suppression, electromagnetic compatibility analysis and evaluation and electromagnetic protection.

The invention relates to a 5G base station-based video data processing and transmission method, which comprises the following steps of: selecting an acquisition set, and accessing video sensors in theacquisition set into a 5G base station serving as a fog node; obtaining video data collected by the sensor through the fog node, and compressing the video data into transmission data; and directly transmitting the transmission data or transmitting the transmission data to a cloud data center through other fog nodes in communication connection with the fog nodes.

The invention discloses a method for recommending crop breeding varieties based on a hybrid collaborative filtering algorithm. The method comprises the following steps: in step 1, data preprocessing is performed on data of check varieties and data of the varieties to be audited to obtain variety-property data tables; in step 2, clustering of the variety-property data tables is conducted so as to obtain multiple clusters; in step 3, a first cluster containing a check variety-property data table is searched; in step 4, a degree of similarity between the varieties to be audited in the first cluster and the check varieties is calculated, and varieties to be audited with a high degree of similarity are selected; in step 5, the selected varieties to be audited are taken as recommended varietiesfor crop breeding. The method disclosed in the invention can help effectively reduce calculation loss; especially in the commercial breeding, the method disclosed in the invention can help improve work efficiency of a staff, greatly reduce labor cost, and complete the work that a plurality of breeding experts need to do to meet requirements for large-scale breeding data analysis.

The invention relates to a model matching-based grid fault graph analysis and display system and method. The system comprises a data acquisition module, a data collection module, a model matching analysis module and a graph display module, wherein the data acquisition module is used for acquiring state information in each electric interval of a substation and converting the state information intoa transmission message; the data collection module is used for synchronously processing the transmission message in each electric interval and analyzing the transmission message into COMTRADE-based state information; the model matching analysis module is used for establishing a substation primary topology and a primary / secondary equipment correlation model, carrying out calculation on the COMTRADE-based state information to obtain a COMTRADE-based analog quantity and a COMTRADE-based switching value in each electric interval, and matching the COMTRADE-based analog quantity and the COMTRADE-based switching value with primary equipment; the graph display module is used for displaying a primary topological graph and an analog quantity and a switching value of the primary equipment in each electric interval, and carrying out visual display after grids break down. Compared with the prior art, the system and method are beneficial for intuitionally analyzing features of grid fault events andsatisfying the requirements for automatically analyzing grid faults.

The invention provides a block chain data transaction method with privacy protection, and relates to the technical field of block chains. The seller user participates in the transaction and stores original data into an interstellar file system after performing public key inner product encryption on the original data, and initiates a transaction request for creating a seller smart contract in a block chain; then the buyer user initiates a transaction request for creating a buyer smart contract in the block chain; the consensus nodes on the block chain perform validity check on the transaction requests initiated by the transaction participating users; if the check is passed, all the consensus nodes on the block chain record the transaction requests in the chain, and the seller user and the buyer user perform data transaction based on the block chain; and if the check is invalid, the transaction application is rejected. The method is based on the block chain, the traceability of the data transaction process is guaranteed, and the rights and interests of buyers and sellers are guaranteed. Meanwhile, the data transaction process is encrypted by using a secret key, so that the transaction platform is ensured not to check and store easy-to-check data.

The invention relates to the field of image enhancement technology, in particular to an image enhancement method and system and electronic equipment. The image enhancement method comprises the steps that a, a lateral inhibition network mathematical model is constructed; b, an edge feature matrix of an original image is calculated through a sobel operator, and normalization is performed on the edgefeature matrix to obtain a sobel measurement factor matrix; and c, the lateral inhibition network mathematical model is optimized through the sobel measurement factor matrix, and enhancement processing is performed on the original image according to the optimized lateral inhibition network mathematical model. Through the image enhancement method and system and the electronic equipment, the advantage of conforming to visual physiological features of a lateral inhibition network and noise suppression of the Sobel operator are combined, so that the contrast ratio of edge points is increased, theedge enhancement ability is improved, meanwhile, noise is suppressed to some extent, the requirement of subsequent image analysis is met, and real-time processing can be realized.

The invention provides a data management method. The method comprises the following steps: acquiring user control plane information collected by a session management functional entity; obtaining user data plane information collected by a user plane functional entity; and associating and merging the user control plane information and the user data plane information to generate a user traffic log. The invention further provides an association subsystem, a computer readable medium and a data management system.

The invention provides a primer combination for detecting the instability of a microsatellite, a kit, a detection method and application of the primer combination, the kit and the detection method. The primer combination comprises primer pairs shown in SEQ ID NO:1-18 for NR21, NR24, NR27, BAT25, BAT26, MONO-27, Penta D, Penta E and Amel. According to the primer combination, primers are designed for six SNP loci of NR21, NR24, NR27, BAT25, BAT26 and MONO-27; according to the states of the six SNP loci, the instability of the microsatellite is evaluated; according to three contrast polymorphismloci of Penta D, Penta E and Amel, the consistency of a to-be-detected tissue sample and a contrast sample thereof is evaluated; the accuracy is high, the number of used samples is low, the amplification efficiency is high, strips are clear, and the sensitivity is high.