540 results about "Theory analysis" patented technology

A sulfur hexafluoride discharge decomposition gas component analysis system is composed of a pressure adjuster console 1, an insulation transformer 2, a non-blooming test transformer 3, a non-local-discharge protective resistance 4, a capacitor bleeder 5, a sulfur hexafluoride discharge decompose device 6, a non-inductive check resistance 7, a match resistance 8, an oscillometer 9, and a gas spectrometer 10. And the method comprises that (1), using a vacuum pump 18 to vacuum the sulfur hexafluoride discharge decompose device 6, (2), using an inlet needle valve 17 to feed SF6 gas into the sulfur hexafluoride discharge decompose device 6, (3), measuring maximum external test voltage and initial PD voltage, (4), generating PD under different electrodes, (5), collecting gas, (6), analyzing gas components, (7), collecting PD pulse signal wave shape, diagnosing accident and recognizing mode. The invention has wide application in research, teach, academy and industry, used in theory analysis and research of PD online state check of GIS device.

The simulating experiment equipment for local discharge in gas insulated combined electric appliance consists of inducing pressure regulator, no-corona experiment transformer, no-local discharge protecting resistor, standard capacity voltage divider, GIS simulating experimental device, internal UHF antenna sensor and external UHF antenna sensor, microstrip line filtering amplifier, intelligent UHF multiplexer, wide band high speed ultrahigh capacirty digital storage oscilloscope and microcomputer. The simulating experiment equipment and method for local discharge in gas insulated combined electric appliance may be used for simulating various defaults inside GIS to obtain PD experiment data reflecting various kinds of insulation defaults and distinguish the PD modes of the insulation defaults in GIS, so that the present invention may be used widely in relevant theoretical analysis and application research.

A robust method for determining the boundaries of cells and the associated reliability of the RF coverage within these boundaries is presented. The invention accurately determines the average range from the base station to the cell edge from RF signal strength measurements with a linear regression approach. The accuracy of this estimate is quantified both as a range uncertainty (e.g. + / -100 meters) and as a cell coverage reliability (i.e. area / edge) through 1) simulation, 2) analysis of real data, and 3) theoretical analysis. It is shown that if the estimate of the cell radius meets the desired accuracy, then the corresponding estimates of coverage reliability (both area and edge) are more than sufficiently accurate. It is recommended that radio survey analyses incorporate this test as part of the coverage validation process.

The invention relates to a self-adaptive method for fault line selection of a cable-wire mixed line of an electric distribution network by using full-band wavelet energy relative entropy. The method comprises the following steps: when the zero-sequence voltage instantaneous value of a bus is out of limit, starting a fault line selection device immediately; performing wavelet decomposition on zero-sequence current in 1 / 4 cycle after the fault of each line, performing single reconstruction on wavelet decomposition coefficients under each scale, and calculating the wavelet energy under each band of the zero-sequence current of each line by using reconstruction coefficients; and calculating the wavelet energy relative entropy under each band of each line and solving the comprehensive wavelet energy relative entropy of each line by combining the super-strong recognition capability of the relative entropy to slight differences between signals, and self-adaptively selecting out the fault line by comparing the size of the full band comprehensive wavelet energy relative entropy of each line. Theoretical analyses and a large number of emulations show that the method effectively avoids the influence caused by a CT saturation discontinuous angle on the line selection, and is applicable to the cable-wire mixed lines, pure cable lines and pure aerial lines.

The invention discloses a fault-tolerance autonomous navigation method of a multi-sensor of a high-altitude long-endurance unmanned plane. The method comprises the following steps of: firstly, carrying out theory analysis on work environment and work characteristics of three navigation sensors including GPS (Global Position System), CNS (astronomy) and SAR (Synthetic Aperture Radar), and establishing an observation linearity measurement equation by combining a geography system based on a position combined observation principle of inertia / GPS, inertia / astronomy and inertia / SAR under an airborne geography system; then analyzing error characteristics of a navigation sensor and simulating the output during the fault of GPS, and establishing a corresponding fault detection algorithm unit to carry out fault detection and isolation on a filter; and finally, designing and completing an inertia / GPS combined navigation system mathematic model based on the assistance of astronomy and SAR, and optimally evaluating the error state of the inertia navigation by means of federated filtering. The invention has high navigation precision, and can fully play the role of evaluating the error state quantity of an airborne inertia navigation system by the combined navigation of the multi-sensor under the geography system.

The invention discloses a partial discharging experiment device of a structure-variable combined electrical gas-insulated apparatus and a method thereof, and belongs to the technical field of insulation online detection of electrical equipment. The partial discharging experiment device mainly comprises a GIS simulating element, a digital storage oscillograph and a signal generator, etc. By utilizing the device, the partial discharging experiment method carries out a pressurized experiment so as to collect ultrahigh frequency PD signals, carries out a signal injecting experiment, collects and corrects the ultrahigh frequency PD signals through programs, thus obtaining real waveform of the ultrahigh frequency PD signals. The device can simulate the T-shaped, L-shaped and bar-shaped structures of real GIS equipment. The method can carry out the experiment to the T-shaped, L-shaped or bar-shaped GIS structures by one to four insulated defect models, and the experiment is real, accurate and wide in range. The device and the method can be widely applied to the experimental research of the insulated state online monitoring of GIS equipments in teaching practices, scientific research institutions and equipment manufacturing plants, and the detected PD signals can be used for theoretical analysis and applied research.

The invention discloses a simulating design system for city expressway interchanges, comprising: data acquisition, model calibration, a data-out module, an evaluation and analysis module connecting with the model calibration module and data-out module respectively, and a data amendment module connecting between the evaluation and analysis module and the model calibration module. Meanwhile a model building and design method using the design system is disclosed too, which comprises: collecting the characteristic parameter of the traffic flow of typical expressway basic sections, interchange triage / confluence area, cutting area and various ramps; building the corresponding database and traffic capacity theoretical analysis model; demarcating and amending speed and density model with determinate service level; building traffic capacity analysis model suiting the traffic flow characteristic of the city expressway interchange. At last, the design of the lectotype of the city expressway interchanges conducted by the design model comprises analyzing and forecasting the traffic, raising a preliminary scheme, calculating the traffic capacity of the interchange, analyzing the suitability, selecting a rational strategy.

The invention provides an existing air conditioning system simulation method based on feature recognition. The method comprises the steps that according to actually-measured operating data of an existing air conditioning system, a least square method is adopted to obtain feature parameters of a water chilling unit performance prediction model, a surface air cooler performance prediction model, a cooling tower performance prediction model, a water pump model and a fluid conveying and distributing pipeline resistance model in the air conditioning system; according to the actual operating process of the air conditioning system, all the component models with the obtained model parameters are connected in a simulation mode; according to relevant input parameters of simulated conditions, the air conditioning system is subjected to simulation, and operating performance parameters of the air conditioning system are output. The air conditioning system simulation method combines theoretical analysis, actual testing and simulation, can well represent the performance change law of the air conditioning system under different operating conditions and can serve as a foundation for overall performance simulation and prediction of the air conditioning system.

The invention discloses an iterative learning trajectory tracking control and robust optimization method for a two-dimensional motion mobile robot. The method includes the steps that firstly, a kinetic equation of a two-dimensional motion mobile robot discrete non-linear motion system model is established; a discrete non-linear state space expression is established; a P type open-closed loop iterative learning controller based on the iterative learning control technology is established; then the robust convergence of the established discrete non-linear control system is theoretically analyzed; then parameter item splitting is conducted on control gains of the P type controller, meanwhile, a quadratic performance index function based on controller parameters is designed, and the purpose is to optimize the control parameters; finally, monotone convergence characteristics of output errors and parameter selection conditions generated when a control algorithm acts on a controlled system are analyzed and optimized, and the two-dimensional motion mobile robot can rapidly track an expected motion trajectory at high precision. The method has the advantages that the robust optimization iterative learning controller is suitable for tracking control in an ideal state and suitable for trajectory tracking tasks under the condition that interference exists outside. A designed iterative algorithm is simple and efficient, introduction of a large number of additional parameter variables is not needed, and engineering realization is easy.

The invention relates to an intelligent emergency management method for urban public transports. The invention comprehensively applies a method of combining theoretical analysis, measured data, model and algorithm, scientifically integrates geographic information system technology (GIS technology), global positioning system technology (GPS technology) and modern communication technology, utilizes intelligently developed public transport emergency technology of a public transport network and coordinative dispatching technology of a traffic control system, takes network-based dispatching and operation management of public transports as a core, is based on key theories and methods of intelligent coordinative dispatching between public traffic system lines, establishes an emergency management method oriented at public transport events, provides good theories, methods and technical support for intelligent management of the urban public transports, and effectively improves the operation efficiency and the operation safety of the public transports by effectively reducing the event detection and acknowledgement time, adopting proper event response measures, safely removing events and managing influenced public transports until the public transports restore the prior traffic capacity.

The invention discloses an intelligent detection and quantitative recognition method for the defect of concrete. According to the method, a concrete test piece is subjected to impact echo signal sample acquisition, signal noise reduction treatment and characteristic value extraction so as to construct a recognition model for analysis components including feature extraction, defect inspection, defect diagnosis and defect quantification and positioning; and the model is used for detecting and recognizing to-be-detected concrete. The intelligent detection and quantitative recognition method provided by the invention is directed at disadvantages of conventional detection technology for concrete defects and based on theoretical analysis, value simulation and model testing, employs advanced signal processing and artificial intelligence technology and fully digs out characteristic information of a testing signal, thereby establishing the model for intelligent rapid detection and classified recognition based on wavelet analysis and an extreme learning machine; and the model has good classified recognition performance, realizes intelligent rapid quantitative recognition and evaluation of the variety, properties and scope of the defect of concrete and further improves the innovation and application level of non-destructive testing technology for the defect of concrete.

The invention relates to a self-adaptive method for single-phase grounding fault line selection of an electric distribution network by using S transformation energy relative entropy. The method comprises the following steps: when the zero-sequence voltage instantaneous value of a bus is out of limit, starting a fault line selection device immediately; performing S transformation on zero-sequence current in 1 / 4 cycle after the fault of each line, and calculating transient energy under each frequency of the zero-sequence current of each line by using a complex matrix obtained by the S transformation; and calculating the S transformation energy relative entropy under each frequency of each line and solving the comprehensive S transformation energy relative entropy of each line by using the super-strong recognition capability of the relative entropy to slight differences between signals, and self-adaptively selecting out the fault line by comparing the size of the comprehensive S transformation energy relative entropy of each line under all frequencies. Theoretical analyses and a large number of emulations show that the method effectively avoids the influence caused by a CT saturation discontinuous angle on the line selection, and is applicable to the cable-wire mixed line, pure cable lines and pure aerial lines.

The invention discloses a freight transportation safety evaluation model based on a man-vehicle-road-freight multi-risk source. The model is characterized in that a freight transportation safety sensing system is constructed and driver, vehicle, road (environment) and freight information is obtained; a causing factor of a freight vehicle accident is analyzed by using an accident causation theory, attribute sets of four kinds of man, vehicle, road, and freight risk sources are defined, and the attributed sets are analyzed and screened by using an accident tree analysis method; according to the screened attribute sets, a freight transportation safety risk index system is built by using an analytic hierarchy process and weights of the driver, vehicle, road(environment) and freight information factors for accident occurrence are determined; and according to the established integrated freight risk evaluation index system as well as all evaluation index weights, a freight transportation safety risk evaluation model is established by using a fuzzy evaluation theory. Therefore, the technical support for intelligent early warning can be provided for the road freight transportation safety work.

The invention researches the substantive characteristics of material deformation to aim at the practical problem of measuring real stress-real strain and discloses a real stress-real strain calculating model and a practical testing system: 1, based on the analysis on the deformation of a tension specimen, taking a unit body the special part of which is provided with characteristics as the object for the stress-strain analysis, building a unique full-deformation unit model, firstly solving the theory analysis problem of real stress-real strain, establishing a theory foundation and building a novel real stress-real strain calculating formula: Sigma i is equal to 4Fi / Pi d<2>I and Epsilon is equal to (d<2>0 / d<2>i) minus 1; 2, adopting a machine visual technology and an image processing method to develop a practical software system and a practical hardware system that are compatible with the machine visual technology and the image processing method, and realizing the direct non-contact real stress-real strain measuring in real meaning; 3, the testing system includes a light source (1), CCD camera (2), an image acquisition card (3), a data acquisition card (4) and a material testing machine (5); 4,the software includes image capturing program, load data acquisition program and comprehensive calculation analysis program.

The invention discloses an HVDC commutation failure fault diagnosis method based on valve voltages or valve currents. The method comprises the following steps that a commutation failure mechanism and commutation failure influence factors are analyzed; commutation failure process analysis is carried out, and a commutation failure criterion is determined; an HVDC model contravariant side equivalent circuit is built, and a commutation failure critical inductance value is determined; whether the diagnosis result is accurate or not is verified through simulation. According to the fast commutation failure diagnosis method based on the converter valve voltages or the valve currents, the theoretical analysis and stimulation result proves the accuracy and effectiveness of the method, no blind diagnosis area exists, and the method is simple in theory and easy to implement, and has certain project application value.

The invention relates to a three-dimensional Arnold mapping-based image grouping encryption method, which is characterized by comprising the following steps: firstly, adopting an Amold mapping extended to three dimensions to construct an S box; then, performing sorting scrambling on a chaotic sequence generated by a Chebyshev mapping; and finishing the encryption operation through multi-iteration. The theoretical analysis and experimental result prove that the three-dimensional Arnold mapping-based image grouping encryption method has the advantages of large key space, high sensitivity, high speed, excellent safety, strong attack resistance, and the like. Compared with other similar methods, the three-dimensional Arnold mapping-based image grouping encryption method guarantees the safety and has higher speed, and is more applicable for graphic data encryption. The main superiority of the method is that: the method has enough key space to resist an exhaustive attack, and the change of a key at any bit can completely change an initial value and the parameters of the chaotic sequence. Therefore, the sensitivity of the key is greatly improved; any useful information cannot be exposed by the statistical property; and the relativity of adjacent pixels of an intensity diagram is small and the attack resistance is strong.

The invention discloses a simulating design system for city expressway interchanges, comprising: data acquisition, model calibration, a data-out module, an evaluation and analysis module connecting with the model calibration module and data-out module respectively, and a data amendment module connecting between the evaluation and analysis module and the model calibration module. Meanwhile a modelbuilding and design method using the design system is disclosed too, which comprises: collecting the characteristic parameter of the traffic flow of typical expressway basic sections, interchange triage / confluence area, cutting area and various ramps; building the corresponding database and traffic capacity theoretical analysis model; demarcating and amending a speed and density model with determinate service level; building a traffic capacity analysis model suiting the traffic flow characteristic of the city expressway interchanges. Designers can carry out the adaptability analysis of the interchanges for communications using the design model, so as to conduct the design of the lectotype of the city expressway interchanges.

For the combined underground and open-pit mining methods, according to the spatial correspondence of the mining area, some of the two mining influence domains overlap each other, resulting in the interaction and superposition of the mining effects, thus forming a composite dynamic system. Therefore, the slope The deformation mechanism of rock mass is more complex. Underground mining has three effects on the overlying rock mass in the area of ​​influence, that is, the change of the overlying rock layer, the reduction of the overall strength and the change of the stress field in the area of ​​influence. The latter is due to underground excavation changing the stress distribution state of the original rock. Within its influence domain, the stress values ​​and behaviors at different spatial locations are different, so the damage to the overlying rock mass by underground excavation is zonal, and this zonal stress change will occur with subsequent excavation different processes of change. This change process will directly affect the stability state of the slope rock mass, that is, the occurrence of this stress restricts or changes the stability state of the slope mass. Therefore, in the stability analysis of slope rock mass, this main influencing factor should be taken into consideration. However, in the past, when dealing with such problems, the analysis method under the influence of single open-pit mining was approximately applied, and the results were somewhat different from the actual situation; the present invention deduces a slope rock mass stability evaluation on the basis of theoretical analysis Methods to provide scientific basis for the follow-up mining design and safety production of such mines.

The invention discloses a bistatic inverse synthetic aperture radar (ISAR) image fusion method based on sub aperture parameter estimation, which mainly solves the problem of low efficiency of the existing bistatic ISAR image fusion and has a realization process comprising the following steps of: building a bistatic radar turntable model; obtaining the target distance Doppler image of two radars; using the Doppler difference values of isolated strong scattering points at different sub apertures for estimating the target rotating angle speed; then, carrying out orientation calibration accordingto the obtained target rotation angle speed; estimating the half bistatic angle through the conversion relationship between coordinate systems; carrying out distance direction matching filtering and motion compensation on data of the two radars; then, adopting a back propagation (BP) algorithm for carrying out compensation on the echo phase according to the estimated half bistatic angle and the target rotating angle speed; and mapping the data of the radar 1 and the radar 2 after the compensation completion to the same rectangular coordinate system for carrying out coherent fusion. The theoretical analysis and experiment results show that the method of the invention can obtain images with better effects, can obtain more target information and can be used for target identification.

This invention relates to laser and material performance test using continuous loading long-pulse laser to load a coating or film test subject surface in quasi-stationary state and heat its thin layer (only dozens of nm thick) with laser thermal action and thermal conduction thereafter, to form a temperature field in the subject. When the thermal stress reaches to a certain value on the coating abbesion will heppen to the subject or even warping or scaling due to the difference between coefficient of thermal expansion and the temperature and the feed system makes the subject to do feed movement to form mars on the surfaces. The related laser energy at scaling position at the interface can express the binding strength of the interface to get the binding strength by theory analysis and digital calculation.

The method includes following steps: collecting data in order to obtain signals of voltage and current at multiple ends of tested wires; recording and exchanging electrical data before and after fault in order to obtain needed data to locate position of fault; localization of fault obtaining accuracy position of fault point. Basic reason for the method is as follows: criterion of branch, where fault occurred, is derived for transmission lines in T type connection through theoretical analysis; based on Kirchoff law, differential equation relation of electrical data at three ends of T type connection is obtained; issue of localization of fault for transmission lines in T type connection is translated to issue of localization of fault for double ends system. Thus, using method for localization of fault for double ends system existed or recommended in the invention locates fault point so as to solve issue of localization of fault for transmission lines in T type connection.

The invention provides a stream type repetitive data detection method. According to the method, a TBFA (Timing Bloom Filter Array) is constructed for flexibly and efficiently detecting repetitive data in a sliding window model, wherein the TBFA consists of a plurality of TBFs (Timing Bloom Filters) with the same structure, each TBF comprises a bloom filter and a separated timer array used for storing timestamps, the whole TBFA works in a looped first-in first-out mode and gets rid of old elements removed from a data stream monitoring window while recording new elements. The stream type repetitive data detection method is implemented under the sliding widow model, element monitoring is correct to one element, therefore the statistic result based on the stream type repetitive data detectionmethod has good stability; in addition, a part of the timer arrays in the TBFA can be unloaded into a disc, therefore the overhead of an internal memory can be reduced. Theoretical analysis and experimental data show that more than 95% of query efficiency can be maintained when DCBA (Detached Counting Bloom filters Array loads less than 10% of data contents to the internal memory, therefore the method provided by the invention is superior to the traditional technical scheme in space efficiency and expandability.

The invention relates to a method for establishing damaged rock constitutive relation by utilizing residual strength. The method comprises the following steps of: carrying out a rock indoor triaxial compression experiment, measuring the axle load sigma1, the confining pressure sigma 3, the peak value intensity strain Epsilon 1c and the residual intensity sigma r of a rock sample, calculating the rock elastic modulus E and poisson ratio Mu, carrying out data regression according to triaxial compression test results, and calculating the uniaxial compressive strength sigma ci and an experience intensity parameter mi of a rock block; then establishing a three-dimensional damage statistic constitutive relation capable of reflecting a rock post-peak softening characteristic; and finally, solving constitutive relation parameters n and F0 according to four boundary conditions of a rock full-stress-strain curve geometric characteristic, and drawing a constitutive relation curve by utilizing Matlab software. The constitutive relation can fully reflect rock post-peak softening and residual intensity characteristics, and can describe the full-stress-strain relation of the rock damage process well, so that a theory formula well corresponds to the actual condition of a rock material; and the method can be realized simply, is widely applied to the theory analysis of the rock material, and has an actual value.

An automated external defibrillator (AED) and methods for a corrective CPR prompting system. The AED includes a sensor that obtains compression measurement data of CPR chest compressions and a control system including a microprocessor programmed to run a non-parametric, Information-Theoretic analysis of the compression measurement data. The analysis includes ranking provided compression measurement data, determining a prompt time TN for review, locating the compression measurement data at TN in an initial expected histogram of depth and rate aspects of the compression data measurements with upper and lower limits, that divides the intervals of the histogram into a plurality of sections, weighting the compression measurement data based on a plurality of factors, deriving information content of the compression measurement data by mapping a probability density function into an information content function, and determining if a particular corrective prompt is necessary. The AED also includes a prompting device that provides corrective CPR.

The invention discloses a splicing detection device of a circular Hartmann-Shack wave-front sensor based on a minor caliber. The device is characterized by comprising the Hartmann-Shack wave-front sensor, an x-z 2D electric control translation stage, a step motor controller, a computer, a mirror surface to be detected and a data acquisition card; the Hartmann-Shack wave-front sensor is positioned behind the mirror surface to be detected to detect the mirror surface to be detected, and a facula lattice is formed on the Hartmann-Shack wave-front sensor, and the data acquisition card acquires the facula data and transmits the data to the computer for storing; the computer sends an instruction to the step motor controller, and controls the 2D electric control translation stage to move along an x axis and a z axis to scan and detect the mirror surface to be detected; the data acquisition card sequentially acquires the facula data of a wavelet surface of each frame, and then a wave surface to be detected is obtained by a centroid algorithm, a splicing method and a restoration algorithm. The device and the method help improve a formula by ignoring a defocus error in theoretical analysis, eliminate a principle error of a translation error, improve splicing precision and lower computation complexity of solving splicing parameters.

The invention belongs to the technical field of a cutting tooth performance detection test, particularly relates to a test platform for a cutting mechanism of a cutting tooth on a rock, and solves the problems that the conventional test instrument for the process of cutting the rock by the cutting tooth cannot be close to real field working conditions, and the test conditions are instable and cannot meet the practical needs of cutting tooth theory analysis. The test platform comprises a base, wherein stone moving guide rails and knife rest moving guide rails are arranged on the base; a stone moving device is arranged on the stone moving guide rails; the stone moving device comprises a stone table; a stone table drive motor is connected to the outer side of the stone table through a stone table drive screw rod; a stone clamping device is arranged on the stone table; and a knife rest moving device and a cutting tooth drive mechanism are arranged on the knife rest moving guide rails. The test platform has the benefits as follows: a test system close to the real cutting process can be provided under stable test conditions; the function is complete; the test range is large; the control accuracy is high; and the test data are reliable.

The invention relates to a target tracking method based on a double-layer forecasting mechanism in a sensor network, wherein, the sensor network is based on a hierarchical wireless sensor network and consists of an SN node and a CH node; the detailed steps of the invention are that the SN node adopts a Bayes estimation method to carry out the micro-forecast of a target location; the CN node obtains the observed value of the target location by combining the result of the SN node; based on a curvilinear motion equation, the CH node carries out the macro-forecast of the target location so as to obtain the estimated value of the target location; the CH node carries out the linear fitting of the observed value and the estimated value of the target location to solve a final target tracking location. The invention is technically characterized in that a WSN is fully utilized to realize the target tracking; the tracking method fully considers the needs of low complexity, low communication traffic and low energy consumption of the WSN target tracking method and passes a theoretical analysis and a simulated verification. The locating and tracking method in the invention is capable of accurately and quickly solving the motion parameters of the target by programmed location software.

The invention aims to provide a disjunction electric arc testing method for a switching electric appliance contact for providing effective guarantee for electric arc theoretical studies with even performance figures, high testing efficiency and reliable testing result, and a device thereof. The device consists of a mechanical system and a circuit system, which are connected. The disjunction electric arc testing method for the switching electric appliance contact and the device thereof comprise relay electric arc testing and simulated electric arc testing. The method and the device solve the problem that theoretical analysis or computed result is difficult to verify during the electric arc theoretical studies. The invention provides a relay electric arc testing method and a simulated relay electric arc testing method. The method and the device meet requirement for various testing conditions during electric arc testing, and solve the problems of low testing efficiency and poor confidence level of the testing result. For deep comprehending the arcing mechanism and analyzing the property of the electric arc, the invention further provide a method for quickly extinguishing arc to provide effective support for improving the performance and the reliability of a relay.

The invention relates to a composite material structure failure analysis method based on mesomechanics degradation model, and three dimensional basic material performances of the composite material are input parameters, and material performances of the composite material after damage are obtained by mesomechanics calculating method, and seven common failure modes are taken into consideration, which comprise: fiber stretch, fiber compression, matrix stretch, matrix compression, fiber-matrix shearing, layered stretch and layered compression, and finally the material degradation mode in composite material progressive damage analysis is obtained for carrying out failure analysis of the composite material structure; the invention not only can accurately predict structure failure, but also can predict failure mode and position of the structure. According to the composite material structure failure analysis method based on mesomechanics degradation model provided by the invention, the material degradation model is obtained by theory analysis, thereby connecting macroscopic failure and microscomic mechanism of composite material, and compared to the present material degradation model based on experience or test, time and test cost are substantially reduced.