79results about How to "Guaranteed analytical accuracy" patented technology

The invention provides a method for accurately reconstructing a microcosmic finite element grid model of a dissimilar material on the basis of CT (computed tomography) images. According to the method, sequence CT images are acquired through industrial CT, and micro-structural information in the CT images is mapped onto the reconstructed finite element grid model on basis of digitization and threshold segmentation, so that any detailed structural information in the dissimilar material can be represented in the reconstructed model. The method improves the reconstruction accuracy by means of contrast-limited adaptive histogram equalization, median filtering and pixel interpolation, and improves the reconstruction efficiency through image cut and pixel combination. With the method, rectangular (two-dimensional) and cuboid (three-dimensional) unit grid models with higher finite element analysis accuracy are directly reconstructed, error accumulation during reconstruction, grid partition and other links of the existing geometric reconstruction method is avoided, and reconstruction accuracy and efficiency are improved. The method can be widely applied to fields such as performance prediction and optimization design of dissimilar materials.

The invention relates to a disease risk predication method and system. The method comprises the following steps of: S1, receiving input gene sequencing result information; analyzing the input gene sequencing result information to obtain all mutant gene information; S2, looking up disease gene mutant information of corresponding gene sites from a precision medical knowledge base according to the gene sites corresponding to the mutant gene information, so as to obtain at least one piece of disease gene mutant information; S3, matching each piece of the disease gene mutant information with all the disease gene mutant information to obtain the similarity of each piece of the mutant gene information, and all the disease gene mutant information; and S4, obtaining a risk predication table aiming at the gene sequencing result information according to the similarity of each piece of the mutant gene information, and all the disease gene mutant information. By analyzing an association relation of susceptibility genes, mutation sites, mutation types and diseases, disease risk predication is carried out on healthy people and general disease risk grade predication is provided; disease risks in the future are reduced.

The invention discloses a device for measuring a heat exchange coefficient of an interface between a high-temperature steel plate and a die in a hot stamp process. The device comprises a pressure applying device and a measurement device, wherein the pressure applying device comprises a pressurization device, an upper workbench and a lower workbench, wherein the pressurization device is connected with the upper workbench and the lower workbench respectively; the measurement device comprises an upper fixture, a lower fixture and a test sample fixing fixture; the upper fixture is fixed on the upper workbench; the lower fixture is fixed on the lower workbench; and the test sample fixing fixture is arranged between the upper fixture and the lower fixture. The invention also discloses a method for measuring the heat exchange coefficient of the interface between the high-temperature steel plate and the die in the hot stamp process. By the device and the method, the limitation to samples with the thickness being more than 30mm in the prior art is avoided; the heat exchange coefficient of the interface between the steel plate and the die in the hot stamp process can be measured; and by an elastic energy storage element, stabilization of interface pressures between a boron steel test sample and an upper die and between the boron steel test sample and a lower die can be guaranteed.

The invention relates to the technical field of alignment control of pre-assembled segmental beams in bridge engineering, in particular to a method for controlling alignment of pre-fabricated segmental beams based on a short-line matching method. The method comprises the following steps: S1, performing on-site data measurement; S2, establishing a local global coordinate conversion system; S3, n-1# block 6 control point measured local coordinates are converted into measured global coordinates data; S4, deviation analysis is performed on the -1 # block; S5, determining the coupling angle of n-1 #two end axis and performing decoupling; S6, calculating the correction coordinates of the I end of the n # block; S7, judging whether the adjustment is made to the n + 1 # block; S8, judging whether there is deviation in the construction of the n # block, and if so, adjusting the positioning point of the I end section of the n + 1 # block; S9, obtaining the local coordinate data of the six control points when the n # block is used as the matching block to prefabricate the n + 1 # block through the global-local coordinate conversion, which has the beneficial effect that the real beam block axis deviation angle can be obtained, and the calculation accuracy of the corrected coordinate of the prefabricated beam block is improved.

The invention relates to a magnetic-structural-coupling-field-based transformer winding deformation analysis method. According to the technical scheme, the method comprises the following steps: a transformer magnetic-structural coupling model containing an electromagnetic field model and a structural field model is established and attributes and constraint conditions of the electromagnetic field model and the structural field model are set; a current is loaded on the electromagnetic field model to obtain an analysis result of an electromagnetic field Lorentz force; the analysis result of the electromagnetic field Lorentz force is extracted and is loaded on the structural model as an electromagnetic field load, and deformation of the transformer winding and the stress strength are observed, thereby realizing the analysis of the transformer deformation. According to the invention, a magnetic-structural-coupling finite element analysis method is applied to the transformer winding deformation analysis and thus the analysis on the transformer winding deformation state is realized under the circumstances that no power failure occurs and no cover suspending needs to be carried out, so that work of field testing and cover suspension examination and the like can be avoided. On the premise that the analysis accuracy is guaranteed, the work load is reduced and the operation and maintenance costs are saved.

Disclosed is an automatic analyzing system, which is given a function to check whether the actions of individual portions thereof are being correctly executed or not. A pressure sensor is applied to a sample passage so that the action steps of a dispensing mechanism including the opening / closing of an electromagnetic valve can be checked in terms of a pressure waveform during a rinsing water discharge (10). Here, this function can also apply the pressure sensor which is used in a sample suction check of the prior art, as an additional function. Even with the ON / OFF failure of the electromagnetic valve, the discrimination can be made with an alarm so that the sample can be prevented from becoming thin, to thereby improve the data reliability.

The invention provides an image processing method and apparatus, and a camera. The image processing method comprises the following steps: receiving original image data; executing a first processing operation on the original image data to obtain first image data having a better visual effect than the original image data; executing a second processing operation on the original image data to obtain second image data having more information for video analysis than the first image data; and performing video analysis on the second image data, and superposing a video analysis result on the first image data to obtain third image data. By adoption of the image processing method and apparatus, and the camera provided by the invention, the view experience of users can be taken into account while ensuring the accuracy of algorithm analysis.

The invention relates to a health data management system and analysis method based on edge computing and cloud computing, applying the mode of combining edge computing with cloud computing to management and analysis of health data. In order to effectively manage health data, a health data cloud computing platform, a health data edge computing platform group and a local multi-modal health data collection group are used to construct a health data management system based on edge computing and cloud computing to realize collection and storage management of multi-modal health data. At the same time, in order to effectively analyze the health data, PCA is used to extract the characteristics of health data in a data format, and PCANet is used to extract the characteristics of health data in an image format, and then a data fusion technology is used to achieve the effective fusion of health data, and then a random forest algorithm is used to analyze the health status. The health data management system and analysis method based on edge computing and cloud computing have the advantages of being simple in hardware, being relatively lightweight in the adopted algorithm, and being able to realize real-time and high-precision analysis of health data while ensuring the security of health data.

The invention discloses an automatic moisture tester. The automatic moisture tester comprises a moisture test module for performing a moisture test to materials and a crucible for containing the materials; the moisture test module comprises a material transfer device for transferring the materials to the moisture test module; a manipulator device for completing conveying of the materials, transferred by the material transfer device, between all devices of the moisture test module; a weighing device for weighing the materials conveyed by the manipulator device; a drying box device for drying the materials weighed by the weighing device; the materials are transferred to the moisture test module through the material transfer device, and the manipulator device conveys the materials on the material transfer device to the weighing device for weighing, then conveys the materials to the drying box device for drying and then conveys the materials to the weighing device for weighing to complete a test. The automatic moisture tester has the advantages of high automation level, high equipment integration level, high working efficiency and high test accuracy.

The invention discloses loading cabin door intensity analysis based on an unmanned plane. The loading cabin door intensity analysis is characterized by comprising the following steps: 1, analyzing loading cabin door finite element strength, performing geometric description on a composite material structure serving as an analysis object, building a loading cabin door finite element model, performing loading cabin door finite element strength analysis, and measuring acceleration information of a real wing and an acceleration and strain information of a key point on an airplane body; 2, storing a loading cabin door finite element strength analysis structure in the form of a vector, storing and displaying displacement and stress results of all nodes obtained by loading cabin door stress analysis in the form of a displacement field and a force field of a vector form, taking the measured acceleration information of the wing as outer load input information of a simulation model, and simulating the acceleration and a strain result of the key point of the airplane body; 3, building a finite element model for a sliding door joint to perform mesh refinement on an important part.

The invention discloses a dynamic control method for a tunnel construction progress based on a global comprehensive sensitivity analysis. The dynamic control method comprises the steps of determining a sensitivity analysis input parameter based on a tunnel construction simulating model, and preprocessing the parameter; performing a multi-factor sensitivity analysis of a tunnel construction period; performing a global sensitivity analysis of the tunnel construction period; performing engineering language transformation on a sensitivity analysis result; and performing real-time dynamic monitoring and controlling on the tunnel construction period. The dynamic control method has functions of realizing dynamic control for the tunnel construction progress, finding unreasonable construction configurations and construction solutions, dynamically adjusting the construction solutions, improving engineering construction precision, performing sensitivity analysis and dynamic control on all parameters which may cause tunnel construction period change, realizing comprehensive understanding for the construction period influence by construction parameters and work procedure duration time, further acquiring more critical parameter in a parameter assembly, and effectively ensuring checking for a construction machinery configuration solution.

The invention discloses an automatic sampling and analyzing method of blast furnace slag, converter slag, refining slag and protecting slag in front of a steel smelting furnace. The method comprises steps that: (1) a sample requiring analysis is roughly crushed; (2) the roughly-crushed sample is washed, and is subject to slag-iron separation; a bonding agent is added to the separated slag sample, and the mixture is grinded; the grinded slag sample is washed, and is preserved for later use; (3) with an automatic wafer pressing machine, the sample is pressed into a wafer used in fluorescence analysis; and components in the slag sample are analyzed by using X-fluorescence spectrum. According to the invention, through experiments, optimal grinding parameters in the slag sample automatic sampling and analyzing method are obtained by screening. A cross-contamination problem possible to be caused by various steps such as grinding and pressing is avoided by ways of air cleaning, sample washing, bonding agent washing, and the like, such that analysis precision is ensured. Also, with the method, parameters such as optimal pressing pressure and pressure maintaining time are determined, such that slag samples can be successfully pressed into wafers. The prepared samples are uniform, complete, and firm. Data analysis is in time and accurate. With the method, automatic sampling and analyzing of the four slag samples are realized.

The invention discloses a mechanism time-variation reliability analysis method, which is applied to the field of mechanism time-variation reliability. For the problem that actual engineering reliability cannot be described completely and accurately in the prior art, effective diffusion points on upper and lower boundaries are solved through an envelope equation; uncertainty random information of non-normal distribution is adopted as a random variable input; kinematic error sample points corresponding to the diffusion points under the uncertainty random variable input are obtained; correlationof the kinematic error sample points corresponding to the diffusion points is described through a copula function; and multidimensional joint probability density functions corresponding to the diffusion points are built through a characteristic of multidimensional distribution function decomposition of a vine-copula function, so that a definite integral is solved for obtaining the time-variation reliability. Therefore, a conventional normal distribution hypothesis is popularized as the non-normal distribution; and the method has relatively high practical values and relatively strong engineering significance.

The invention discloses a mass spectrometer experiment table with shockproof and noise-reduction functions. The mass spectrometer experiment table comprises a stainless steel table top, a stainless steel support and a mechanical pump storage room, wherein the stainless steel support supports the stainless steel table top, and the mechanical pump storage room is positioned at the lower part of the stainless steel bench top; a bottom wall is arranged at the mechanical pump storage room, a rubber blanket is arranged at the upper part of the bottom wall, and the inner part of the rubber blanket is lined with a wavy sponge; the thickness of the stainless steel table top is more than 16 mm. In the working process of a mass spectrometer, the mass spectrometer is placed on the stainless steel table top, and the stainless steel table top with the thickness of more than 16 mm has sufficient rigidity; a mechanical pump used for providing a vacuum degree is placed in the mechanical pump storage room; as the rubber blanket is arranged on the bottom wall of the mechanical pump storage room and the inner part of the rubber blanket is lined with the wavy sponge, the influence of the vibration of the mechanical pump on the mass spectrometer can be minimized, the harm to operators caused by high-decibel noise caused by vibration are reduced, the instrument maintenance is convenient, and meanwhile the analytical sensitivity and accuracy of the mass spectrometer can be ensured.

The invention discloses an image processing method and device utilizing big data, a storage medium and computer equipment. The invention relates to the technical field of information, and mainly aimsto realize remote pathological diagnosis without needing a specially-assigned person to maintain, call and store a pathological tissue specimen, so that the labor cost consumed by pathological diagnosis can be saved, mutual interference can be avoided, and the analysis accuracy of the pathological tissue specimen is prevented from being influenced. The method comprises the steps: collecting different pathological tissue specimen images corresponding to different patients, and obtaining identification information of the different patients; establishing a corresponding relationship between the identification information of different patients and the images of different pathological tissue specimens, and storing the corresponding relationship in a preset image database; when an image query request sent by a client is received, searching the pathological tissue specimen image of the target patient from a preset image database according to the identification information of the target patient carried by the image query request, and feeding back the pathological tissue specimen image of the target patient to the client. The method is suitable for image processing.

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 discloses a finite element modeling method for a binding type generator stator end. The method comprises the steps of, on the basis of a three-dimensional model of the stator end, performing middle line extraction and / or middle surface extraction processing on stator end parts of the three-dimensional model; performing gridding processing on the stator end parts to build corresponding grid models; and connecting the grid models of the parts to build a whole stator end finite element model. For the problems that the finite element model in a process of performing dynamics analysison a binding type fixed structure of the generator stator end by adopting a numerical method is difficult to build reasonably and the modeling efficiency is relatively low, on the basis of a principle that beam and shell units is same in degree of freedom, a line rod beam unit finite element model and a bracket and pressing plate shell unit finite element model are built by using middle line extraction or middle surface extraction, and a connection mode of node sharing is adopted, so that the use of contact units is reduced, the modeling efficiency is effectively improved while the modeling difficulty is lowered and the analysis precision is guaranteed, the calculation scale is reduced, and the implementation is easy.

The invention discloses a welding machine control system. The welding machine control system comprises a welding current control module used for controlling the welding current, an arc voltage controlmodule used for controlling the arc voltage, a welding speed control module used for controlling the welding speed, a welding angle control module used for controlling the welding angle, a protectiongas flow control module used for controlling the protection gas flow, a database module used for storing table data of the weld joint state and a welding parameter adjusting method, a weld joint image shooting module used for shooting a welding joint image, and a weld joint image analysis module used for analyzing the shot weld joint image. According to the welding machine control system, the defects in the prior art can be overcome, and the control accuracy of a welding machine in a complex working condition is improved.

The invention provides an electricity price probability prediction method and system, computer equipment and a storage medium, and the method comprises the steps: employing a prediction model for prediction according to electricity price data in a training period, and obtaining first electricity price prediction data; according to the first electricity price prediction data, performing fitting byadopting a distribution model to obtain error characteristics of the first electricity price prediction data; performing clustering analysis on the error features of the first electricity price prediction data by adopting a clustering algorithm to obtain center features of the first electricity price prediction data; according to the electricity price data of the target time period, adopting a prediction model to predict and obtain second electricity price prediction data; and correcting the second electricity price prediction data according to the center features of the first electricity price prediction data to obtain electricity price probability prediction data of the target time period. According to the embodiment of the invention, the scientific and accurate electricity price prediction and the analysis precision of the error probability are ensured, the feasibility of the prediction result for risk analysis is also considered, and the method and system are of great significanceto pricing decision and risk assessment of power generators.

The invention discloses a finite element analysis simplified method of a turnover protection structure. The method includes the steps that non-linear elastic shafts in the direction x, the direction yand the direction z are connected, and complex materials and contact attribute definitions of an elastic vibration absorber of the turnover protection structure are replaced; a combination method ofbeam connection and bolt connection sub-model analysis is used for evaluating the bolt connection strength in the turnover protection structure; the turnover protection structure is optimized according to a corresponding standard to analyze a load combination sequence. The mechanical influence of the elastic vibration absorber on the turnover protection structure is considered, the complex constitutive relation definition and the complex contact behavior definition of the elastic vibration absorber are avoided, and the convergence analysis difficulty is reduced on the basis of guaranteeing theanalysis precision. Bolt connection analysis is rapid and accurate. A complex turnover protection structure analysis problem is converted into an analysis combination from simple to complicated, andanalysis resources are saved. Operating steps are simple, and high universality is achieved.

The invention discloses a gas chromatography sample introduction device capable of realizing self cleaning of a flow distribution pipeline. The gas chromatography sample introduction device comprisesa diverter, a gas chromatograph control unit, a constant temperature heating belt, a temperature controller, a three-way stop valve, a flow distribution pipeline outlet, and a washing gas outlet. According to the gas chromatography sample introduction device, the three-way stop valve is arranged on the flow distribution pipeline of the diverter, the external surfaces of the flow distribution pipeline and the three way stop valve are sleeved with the constant temperature heating belt, the gas chromatograph control unit is used for controlling the three-way stop valve and the constant temperature heating belt respectively, control commands are written on the gas chromatograph control unit, and self cleaning of the flow distribution pipeline is completed. The gas chromatography sample introduction device is capable of ensuring apparatus analysis precision, prolonging apparatus service life, is simple in production technology, is capable of realizing convenient self cleaning, and is low incost.

The invention provides a video-based public transport means passenger flow monitoring method and system. The method comprises the following steps: receiving a vehicle door opening signal or a vehicledoor closing signal detected by a vehicle door sensor; transmitting a recording starting instruction to a video acquisition device when the vehicle door opening signal is received, and transmitting arecording ending instruction to the video acquisition device when the vehicle door closing signal is received; receiving a video file transmitted by the video acquisition device; acquiring vehicle numbers of public transport means, station numbers of stations where the public transport means is located and get-on and get-off information of the public transport means; acquiring multi-frame picturesaccording to a frame sequence, and converting each picture into structural data; inputting a passenger recognition model into the structural data to obtain passenger image vector data; determining whether passengers corresponding to two groups of passenger image vector data are the same passengers; comparing the two groups of passenger image vector data corresponding to the same passengers, so asto obtain moving track data of the passengers. According to the method and system disclosed by the invention, the passenger flow of the public transport means can be accurately counted.

The invention discloses an analysis method for flood control scheduling risk transfer rules of reservoir groups which comprises the steps of determining a risk element of each reservoir and an uncertainty sequence of each risk element, and obtaining a flood control highest water level sequence corresponding to each uncertainty sequence based on a flood control scheduling model; calculating the information entropy of each uncertainty sequence and the risk entropy of each flood regulation highest water level sequence by adopting an information entropy theory; and based on the information entropyand the risk entropy corresponding to the to-be-analyzed risk element of each reservoir and / or the upstream reservoir thereof, constructing a risk model of the reservoir and analyzing a risk transferrule of each risk element on each reservoir based on the information entropy and the risk entropy corresponding to the risk element of each reservoir and / or the upstream reservoir. By constructing the risk model of the reservoir, the direct or indirect transfer influence of the risk elements on flood control scheduling can be effectively reflected, so that the transfer rule of the risk elements in the flood control scheduling system is analyzed, a basis is provided for flood control risk management, and a reference is provided for making a flood control scheduling scheme.

The invention relates to a risk control method based on gesture monitoring on a mobile terminal and a related device, and belongs to the technical field of risk monitoring, and the method comprises the steps: monitoring and continuously collecting interface operation feature data generated in a man-machine interaction process; obtaining interface operation characteristic data in a preset time period; dividing the interface operation characteristic data into multiple sections of sub-interface operation characteristic data; adding a corresponding terminal service label in a human-computer interaction process to each sub-interface operation characteristic data, and inputting the terminal service label into the risk control model to obtain a sub-gesture label and an abnormal score of each sub-interface operation characteristic data; and calculating a risk control score corresponding to the user according to the sub-gesture label of each sub-interface operation feature data, the abnormal score of the sub-gesture label and the terminal service label corresponding to each sub-interface operation feature data, so as to determine whether there is a risk or not. The reliability of risk control on the mobile terminal is effectively improved. The invention also relates to a blockchain technology. The sub-interface operation feature data is stored in the blockchain.

The embodiment of the invention provides a data monitoring method and device based on power equipment, and relates to the technical field of data security, and the method comprises the steps: obtaining monitoring data of the power equipment, carrying out analysis of the monitoring data, and obtaining an analysis result; judging whether the analysis result is abnormal or not; when the analysis result is not abnormal, identifying the data type of the monitoring data; judging whether the monitoring data is abnormal or not according to the data type; and when the monitoring data is not abnormal, outputting the monitoring data. Visibly, by implementing the implementation mode, the data of various devices can be monitored in real time, and the use safety of the devices is guaranteed.

The invention discloses a resident address analysis method and device, equipment and a readable storage medium. The method comprises the following steps: after acquiring positioning data of a to-be-analyzed user, enabling an our terminal to perform clustering and inverse coding processing on the positioning data, and calling a federated learning module corresponding to the our terminal to verify the processed positioning data to generate address data; calling a resident address analysis model corresponding to the terminal to analyze the address data to obtain a plurality of addresses and scorevalues corresponding to the plurality of addresses, and determining the resident address of the user to be analyzed from the plurality of addresses according to the plurality of score values, whereina joint learning module and a resident address analysis model are generated by executing federated learning algorithm training based on the sample positioning data of the multi-party terminal. According to the invention, resident address analysis is carried out in combination with multi-party data on the premise that user data privacy is strictly protected, and the accuracy of the determined resident address is ensured.

The invention provides a grid division method and device based on a grid convergence factor. The method comprises the following steps: creating a three-dimensional model of an analyzed object; defining simulation analysis parameters and grid setting basic parameters of the analyzed object; enabling the simulation process template to perform simulation operation according to the grid setting basicparameters and the simulation analysis parameters to obtain a grid convergence factor simulation value; judging whether the grid convergence factor simulation value is smaller than a grid convergencefactor threshold value or not, if not, reducing the value of the grid basic size by r times, and then returning back; and if so, curing the finally determined value of the basic size of the grid meeting the requirement in the simulation process template. Compared with the prior art, the method has the advantages that (1) the optimal grid size is obtained based on the grid convergence factor, and the analysis precision is guaranteed while the solving efficiency is guaranteed; (2) a simulation process template is formulated, and the grid division efficiency and reusability are improved.

The invention provides a structural stability analysis method, system and terminal under the action of a vertical earthquake, and a medium. The method comprises the following steps: establishing an overall three-dimensional structure model corresponding to a building structure; marking a to-be-analyzed structure in the overall three-dimensional structure model, wherein the to-be-analyzed structure comprises a structure of which the stability needs to be verified under the action of a vertical earthquake; determining a vertical seismic calculation model based on the overall three-dimensional structure model and the marking structure, wherein the vertical seismic calculation model comprises an overall stiffness matrix corresponding to the overall three-dimensional structure model and a mass matrix corresponding to the vertical degree of freedom of the marking structure; and analyzing the overall three-dimensional structure model according to the vertical earthquake calculation model to obtain a stability analysis result of the marked structure under the action of the vertical earthquake. The method provided by the invention is high in precision, automation degree, efficiency and convenience, and can meet design requirements.

The invention relates to an analyzing and sampling combined valve for an HYCO production device. The analyzing and sampling combined valve is installed on a sampling point flange on a technological pipe, and comprises a filter, a current-limiting depressurization pore plate and two needle-shaped stop valves with independent flow paths, wherein the filter, the current-limiting depressurization pore plate and the needle-shaped stop valves are installed on the sampling point flange; the sampling point flange, the needle-shaped stop valves, the filter and the current-limiting depressurization pore plate are sequentially connected. Sample gas flows through the sampling point flange, and enters into the filter after entering into the needle-shaped stop valves with independent flow paths through being divided into two paths, the sample gas filtered by the filter is subjected to depressurization through the current-limiting depressurization pore plate, and at last the sample gas is conveyed. Compared with the prior art, the analyzing and sampling combined valve has the advantages of simple structure and high analysis and measurement accuracy and the like, and is convenient to disassemble and good in airtight performance.

The invention provides an analyzing method of dynamic failure loads of a rivet connecting area. The analyzing method comprises the following steps: by designing a dog bone sample, a stress-strain curve of a metal material under quasi static and dynamic loads is measured and converted into an effective stress-strain curve; a Johnson-Cook constitutive model comprehensively considering the strain strengthening effect, the strain rate effect and the temperature effect is given; a detailed finite element model of the rivet connecting area is built to obtain the connecting piece dynamic pull-out failure load of the rivet connecting area f<P_t> dot (varepsilon) and the extrusion failure load f<P_br>dot(varepsilon); the dynamic limit failure stress of a rivet material is given, and the dynamic limit tensile load f<S_t>dot(varepsilon) and the dynamic limit shearing load f<S_s>dot(varepsilon) of a rivet are obtained; and through f<P_t>bullet(varepsilon), f<P_br>bullet(varepsilon), f<S_t>bullet(varepsilon), f<S_s>bullet(varepsilon) and the rivet reduction coefficient K1, the dynamic tensile invalid load and the dynamic shearing invalid load of the rivet connecting area are obtained finally. According to the analyzing method, the research and development time can be shortened greatly, the research and development cost can be greatly reduced, the analyzing precision and reliability degree are ensured, and the analyzing method has wide practical engineering application prospects.