98 results about "Transfer equation" patented technology

The invention comprises a survey pole having a survey pole bottom end, with a position-transducer coupled to a survey pole top end. A ground contact spike is on the bottom end. The survey pole uses an AINS as a combined tilt and heading sensor. The AINS provides heading and Euler angle outputs characterizing the tilt of the survey pole. The heading and Euler angle outputs are used by a computer and program to perform position transfers from a position-transducer at the pole top end to the GCZVI switch or spike on the ground using a set of position offset or transfer equations. The position-transducer is either a GNSS or an RTS serving as a position-transducer. The transfer of the position data from the position of the position-transducer provides the earth referenced or grid referenced position of the spike at the survey pole survey bottom end.

The invention discloses a lithium ion battery service life prediction method based on traceless particle filtering, and the method can achieve more accurate estimation of the capacity state of a battery and improves the prediction accuracy of the service life of the battery. The method comprises the steps: enabling a double-index capacity attenuation model as a lithium ion battery capacity degradation model, and obtaining a state transfer equation and measurement equation of the lithium ion battery capacity; obtaining the distribution of the initial value of a state variable of the double-index capacity attenuation model according to the known service life attenuation data of other batteries; determining a corresponding prediction starting point for a to-be-measured battery, wherein the service life of the to-be-measured battery needs to be predicted; carrying out the state tracking of to-be-measured battery capacity data of charging and discharging times through employing a traceless particle filtering method, updating the state variable in the capacity attenuation model, and obtaining a corresponding state variable after the charging; predicting the corresponding state variable and battery capacity after the charging and discharging, plotting a capacity prediction curve, and determining the service life of the to-be-measured battery.

The invention relates to an energy storage optimal configuration method considering system gas and thermal power units. The method comprises the following steps: firstly, according to historical data,forecasting the output of a new energy generator set, constructing a typical scene set of the output of the new energy generator set, and combining the load fluctuation characteristics, constructinga load scene set of a power system; This paper analyzes the operation characteristics of gas-fired units and thermal power units in the start-up and stop stages, establishes the state transfer equations, defines the state transfer conditions, and establishes the state transfer models of gas-fired units and thermal power units in the start-up and stop stages, so as to realize the transfer and switching between different states of gas-fired units and thermal power units in the start-up and stop stages. The paper also analyzes the operation characteristics of gas-fired units and thermal power units in the start-up and stop stages. According to the system and operation parameters, considering the wind power consumption objective, the optimal energy storage allocation model considering the climbing ability and multi-stage state transition of gas turbine and thermal turbine is constructed, with the objective of minimizing the relevant investment and total operating cost. Solve the above power system energy storage optimal allocation problem, and obtain the power system energy storage optimal allocation scheme.

A field operation optimization method for an SCR (selective catalytic reduction) denitration system includes the steps of using a geometric center of an SCR denitration system reactor body as an origin of coordinates to establish a three-dimensional model of the SCR denitration system; meshing the three-dimensional model according to structural features of the SCR denitration system to obtain a mesh model; establishing a physical model for internal structure of the SCR denitration system, setting transfer equations for meshes in the mesh grid according to the physical model, and determining initial boundary conditions of the mesh grid; subjecting the SCR denitration system to field test so as to obtain smoke parameters of field operation of the SCR denitration system; introducing smoke parameters into the mesh model to allow for simulation reaction to acquire operational condition parameters of the SCR denitration system; subjecting the SCR denitration system to field operation parameter optimization according to the condition parameters. The method has the advantages that optimization cost can be reduced, optimization efficiency can be improved, and more accurate condition parameters can be obtained by changing meshing and parameter settings so that optimization accuracy can be improved.

The invention discloses a bridge deformation monitoring method, a storage medium and a bridge deformation monitoring receiver. The method includes: building a bridge deformation monitoring system comprising a GNSS and a UWB in advance; introducing speed parameters into a Kalman filtering model, and setting an initial-state covariance matrix; building a dynamic transfer equation in a calculation process; calculating a priori-estimation covariance matrix; building the observation equation of each of the GNSS and the UWB, and combining with the current-epoch priori-state estimation value to buildan observation equation set; using a weighted least square method to perform estimation to obtain the covariance matrix; when the observation signal of the next epoch is monitored, repeating the steps above, and using the bridge deformation monitoring receiver to calculate a position under the current epoch to determine the deformation position of a bridge. The method has the advantages that thebridge deformation monitoring system comprising the GNSS and the UWB is built, the deformation position of the bridge can be acquired accurately, and the positioning errors of a bridge deformation monitoring system are reduced effectively.

The invention relates to an on-line sequence limit learning machine method possessing an autonomous learning capability and belongs to the intelligent robot technology field. Nine portions are included and comprise an external state set, an external motion set, a rewarding signal, a value function, a state transition equation, a limit learning machine network hidden layer output set, an intermediate parameter transfer equation, a limit learning machine output set and a limit learning machine output weight transfer equation. In the on-line sequence limit learning machine method possessing the autonomous learning capability, an on-line sequence limit learning machine is taken as a framework and Q learning is combined and reinforced. The on-line sequence limit learning machine method possessing the autonomous learning capability is provided and a model is used in mobile robot path program research so that a robot realize autonomous learning navigation according to an external environment state and rewarding. An autonomous learning capability of the robot in an unknown environment is increased.

The invention relates to a development automatic machine with a brain cognition mechanism and a learning method of the development automatic machine, and belongs to the technical field of intelligent robots. The development automatic machine comprises an inner state set, a system output set, an inner operation behavior set, a state transfer equation, a reward signal, a system evaluating function, a system action selecting probability and a Dopamine response differential signal. By means of the development automatic machine and the learning method, a mathematic model high in generalization ability and wide in application range is provided for the system autonomous development process with the learning automatic machine as the basic frame; by means of the method, a sensorimotor system and an intrinsic motivation mechanism are combined, the self-learning and self-adaption capacity of the system is improved, and the intelligence in the true sense is achieved.

The invention discloses an electroencephalogram feature extraction method based on a non-Gaussian time sequence model. The method comprises the following steps: acquiring electroencephalogram data to be processed and two groups of training electroencephalogram data, removing artifacts and partitioning an obtained effective frequency band into a plurality of data segments; extracting the time-frequency feature value, morphological feature value and complexity feature value of each data segment, wherein the feature value of each data segment constructs a feature vector; marking the status value of each feature vector in a first group of training electroencephalogram data, and training a support vector machine by using a marking result; inputting the feature vectors of a second group of training electroencephalogram data into the support vector machine to obtain the status value sequence of the second group of training electroencephalogram data; establishing an observation equation and a status transfer equation, and determining parameters in the equations by using the feature vectors and the status value sequence of the second group of electroencephalogram training data; acquiring the status value of the electroencephalogram data to be processed by using the feature vector of the electroencephalogram data to be processed and the two equations. By adopting the method, different brain statuses can be distinguished accurately.

The invention relates to a distribution network cable hybrid direct distribution line fault ranging method based on line side direction traveling wave decomposition, which belongs to the technical field of power system relay protection. When single-phase grounding fault happens to the distribution network cable hybrid direct distribution line, a PCA-SVM is firstly adopted to recognize a line hybrid line fault section; line mode traveling wave is obtained according to fault travelling wave data acquired at a measurement end, the obtained line mode traveling wave is applied and according to line side voltage travelling wave and current travelling wave distribution in a fault region deduced by a Bergeron line transfer equation, the line side voltage travelling wave and the line side current travelling wave are subjected to line side direction traveling wave decomposition, direction travelling wave for line side distribution is acquired, positive travelling wave is used to multiply backward travelling wave, integration is carried out in two sequential time window lengths for building a ranging function, and finally, fault ranging is carried out according to traveling wave mutation distribution of the ranging function along a fault region line length range. After theoretical analysis and the simulation result, the method has good effects.

The invention discloses a solving light intensity transfer equation-based digital hologram demodulation method. The method comprises the following steps of at first, recreating a digital hologram, calculating to obtain complex amplitude distribution on an object plane, normalizing the complex amplitude distribution on the object plane by using amplitude, propagating the normalized complex amplitude for a small distance by using an angular spectrum numerical propagation method to obtain an out-of-focus light intensity image, taking the out-of-focus light intensity image as input data of a solving light intensity transfer equation, and solving the light intensity transfer equation by using a fast Fourier transform-based solving method to obtain phase distribution of an object. By the method, the continuous phase of the object can be directly demodulated from an abaxial hologram, the complex phase unwrapping procedure of the traditional digital hologram is effectively avoided, and tilt aberration introduced by an off-axis structure of an object parameter optical path and secondary phase distortion introduced by an microobjective in the object parameter optical path can also be removed.

The invention relates to a lithium ion battery remaining life prediction method based on grey particle filter, which can use a small data amount for aging modeling, accurately estimate the battery capacity state and improve the battery life prediction accuracy. The method comprises steps: battery capacity data which are needed for prediction are firstly extracted as sample data to be inputted to agrey prediction model, the grey evolution coefficient a for capacity degradation of the lithium ion battery is calculated, and thus, a state transfer equation and an observation equation for the lithium ion battery capacity during the aging process are built; a particle filter algorithm is then used to track and update the battery capacity state changes; and finally, when prediction begins, according to the grey evolution coefficient, the change value of the capacity of each particle along with the cycle number is extrapolated, and according to the weight of each particle, the remaining lifeof the battery is predicted, and probability density distribution is given.

The invention relates to a power transmission line one-terminal fault location method based on faulty traveling wave distribution characters along the line within two successive time windows and belongs to the technical field of the relay protection for an electrical power system. During the fault of a power transmission line, the fault traveling wave data is obtained at the measurement end of the faulted power transmission line, and then the line-mode traveling wave is obtained. The line-mode traveling wave is applied to calculate the distribution of the voltage traveling wave and the distribution of the current traveling wave along the line based on a Bergeron line transfer equation. The voltage traveling wave and the current traveling wave along the line are decomposed along the line direction, so that the directional traveling wave distributed along the line can be obtained. After that, the forward traveling wave is multiplied by the backward traveling wave and then a fault location function is constructed through the integral method within an observation time window. Therefore, the fault location function is realized. According to the technical scheme of the invention, the method realizes the fault location function for the power transmission line, and is simple in principle, wherein the wave head of the fault traveling wave is free from being calibrated. Meanwhile, the influence of the fault instantaneity, the fault transition resistance variation and other factors is avoided. The fault location result of the method is accurate and reliable.

The invention relates to a novel double end fault location method for double DC circuits on same tower and belongs to the technical field of power system relay protection. The method includes steps of obtaining voltage of a measuring end M and a measuring end N and solving a fault component and solving a line mode voltage component by adopting phase mode conversion when the double DC circuits on same tower meets a grounding fault; applying a Bergeron transfer equation and the measuring end line mode voltage component for calculating line-side voltage and current travelling wave variations; cubing a product of the line-side voltage traveling wave variation of the a measuring end M and the line-side current traveling wave variation of the measuring end N and constructing a fault location function through integrating in an observation time window; realizing fault location through combining line-side mutation rules of the fault location function and the polarity of the wavelet transform modulus maxima of fault voltage traveling waves. According to the invention, fault location is performed for the double DC circuits on same tower and the principle is simple. Wave heads of the fault traveling waves do not need to marked and influence caused by fault instantaneity, fault transition resistance variation and the like is eliminated. The fault location result is accurate and reliable.

The invention discloses an online train automatic adjustment control method, which is characterized in that it comprises: S1: collecting train displacement and speed information; S2: judging whether the train deviates from a predetermined running curve according to the train displacement and speed information; S3: if the train deviates The established operating curve calculates and generates a new train operating curve. The steps of the calculation method include: S31: Establish a state feedback controller; S32: Establish a dynamic transfer equation for the deviation between the actual operating curve of the train and the established operating curve; S33: According to the actual operating curve of the train Establish a predictive control model based on the dynamic transfer equation of the deviation from the established operating curve and current real-time monitoring information; S34: Calculate the state feedback control gain according to the predictive control model, the transfer equation and the state feedback controller to generate an adjusted train operating curve.

The present invention discloses an air pollution tracing method based on a network virus spreading model. The method comprises the steps of (1) obtaining a related sub-picture, (2) constructing an air pollution transfer equation, and (3) carrying out single-point source tracing analysis. According to the method, the space position of a source can be accurately searched according to a time requirement, and the influence strength of the source is obtained. The contaminant of a certain space time is used to screen a related area with a small range, a tracing result can be effectively obtained, and the timeliness is strong.

The invention relates to a 5G virtual access network mapping method in the time delay sensing condition and belongs to the technical field of mobile communication. According to the method, the difference between the arrivals of virtual network requests, the dynamic occupation and release of limited physical resources, and the difference between the service capabilities of network function virtualization servers are combined, and then a queue state transfer equation is established at a network functional virtualization choreographer and each network function virtualization server. Meanwhile, atwo-stage queue dynamic scheduling method is provided. Furthermore, the queue states of all queues in the system are sensed, so that the queue dynamic scheduling is carried out to meet the time delayrequirement. Moreover, the mapping is completed by taking a minimum mapping cost as a target. According to the 5G virtual access network mapping method, the mapping cost can be minimized, and the timedelay requirement of the system can be met.

The present disclosure provides a fixed wing aircraft vision-auxiliary landing navigation method under low visibility. The method comprises a visual feature extraction process, a relative position andattitude solution process, and a visual inertia fusion process, wherein the visual feature extraction process comprises the following steps: receiving position and attitude parameters output by an inertial measurement unit, collecting 2D images, extracting runway areas from the 2D images, performing straight-line detection in the runway areas, extracting the edge lines of the runway areas, and calculating pixel coordinates of four corner points of a runway; the relative position and attitude solution process comprises the following steps: inputting the geographic coordinates and pixel coordinates of the four corner points of the runway, and calculating the relative position and attitude of a camera relative to the runway combined with internal parameters of the camera; the visual inertiafusion process comprises the following steps: defining system states, establishing an inertial error transfer equation, and obtaining measurement information, and nonlinear Kalman filtering and correcting position and attitude parameters.

The invention relates to a robot joint torque signal acquisition system and method, and belongs to the technical field of robots. The measurement interference noise is divided into harmonic mechanicaltransmission noise, power frequency electromagnetic interference noise and sensor measurement errors. An adaptive oscillator is designed to model the power frequency interference noise and harmonic transmission noise mathematically, a state transition equation and an observation equation are established, and the inherent noise of the system is estimated and separated. Meanwhile, aiming at the defects of a torque prediction method based on a dynamic model, a torque state prediction algorithm based on weighted quadratic regression is adopted, and the accuracy and the rapidity of state prediction are improved. A Kalman filter is used for filtering uncertain noises existing in the system transfer equation and the measurement equation, the measurement torque data and the prediction data are fused, the amplitude, the phase and the frequency of the inherent interference noise of the system and the real torque output value are subjected to unbiased optimal estimation, and the denoising filtering of the torque signal is realized.

The invention provides a rocket-spacecraft coupling multibody system dynamics calculation test method and system. The method comprises steps that physical mechanics model transformation and topological structure construction are performed; transfer matrixes and transfer equations of various components are established, a topological structure and supplementary conditions are utilized, a total transfer matrix and a total transfer equation of the system are obtained through assembling, the system is decoupled through proving orthogonality analysis, the modal analysis theory is utilized to analyzerocket-spacecraft coupling dynamics characteristics, and inherent characteristics of the system are obtained; according to the inherent characteristics of the system, rocket-spacecraft coupling dynamics response calculation is performed; through simulation calculation, the rocket-spacecraft connected interface force condition is obtained, the force spectrum input conditions of force limit controlare obtained, and the force limit test is performed. The method is advantaged in that the rocket-spacecraft coupling dynamics response is quickly and accurately obtained, the rocket-spacecraft interface force spectrum is obtained, the input conditions of the force limit vibration test is obtained, and the force limit vibration test can be quickly and accurately verified.

The invention relates to the application of spectroscopic techniques in the field of biomedical engineering, in particular to a fluorescence molecule tomographic imaging method which is applicable to small animals, which describes a fluorescence propagation process in tissues in a approximately precise degree by utilizing the diffusion of a radioactive transfer equation, computes fluorescence distribution in the tissues by adopting a finite element method, back-deduces the concentration and position of a fluorescent marker by combining a nonlinear optimizing algorithm, and finally implements the display of fluorescence molecule tomographic imaging through computer graphic processing. The fluorescence molecule tomographic imaging method can locate the position and concentration of the fluorescent marker deep inside the tissues of small animals based on corresponding instrument measured data, and realize tomographic imaging; and specially for deep fluorescent signals, the fluorescence molecule tomographic imaging method can accurately and quickly recover the depth and intensity information that is carried by the deep fluorescent signals, thus achieving the accurate locating effect of the fluorescent marker position and intensity and providing reference means to medicine development and tumor treatment.

The invention relates to a forecasting method for obtaining temperature and humidity on the surface of clothes according to the thickness of an under-clothes air layer. A clothes system consisting of an under-clothes air layer, a fabrics layer and a boundary air layer is provided in the method. The forecasting method comprises the steps of: respectively establishing thermal and humidity transfer equations from the surface of the skin through the under-clothes air layer, the fabrics layer and the boundary air layer, and solving the temperature and the humidity amount of the surface of the clothes according to the thermal and humidity balance theory under a steady-state condition. The forecasting method can be used for obtaining the critical thickness of the under-clothes air layer transformed from the conduction to the natural convection, analyzing the influence of the under-clothes air layer on the thermal and humidity transfer property passing through the clothes system, and is suitable for forecasting the dressing clothes surface temperature and humidity distribution of a human body wearing different clothes with loose and comfortable degrees.

The invention discloses a fault rate evaluation method of an MMC (Modular Multilevel Converter). The fault rate evaluation method comprises the following steps: (1) acquiring a sub-module and a sub-module assembly of an MMC circuit; (2) inputting working parameters of the MMC circuit and the sub-module assembly thereof, and finishing setting of initial conditions; (3) calculating a fault rate of the sub-module assembly according to a fault model to obtain the fault rate of the sub-module; (4) establishing a Markov model of the MMC circuit and establishing a state transfer equation based on the Markov model; (5) solving the state transfer equation to obtain a variation function of the fault rate of the MMC circuit along with time and module quantity, a variation function of the reliability along with the time and the module quantity and average failure time. The calculation reliability of the fault rate of the sub-module assembly is greatly improved and the estimation reliability of the fault rate of the MMC circuit is improved; by applying the Markov model, the solved fault rate and average service life of the MMC circuit are relatively accurate and are varied along with time variation; the fault rate evaluation method has a dynamic property and high fault evaluation precision.

The invention provides a method for testing a radar scattering cross section, which comprises the following steps: 1) selecting and using a laser radar to test a target scattering cross section; 2) listing the definition of the laser radar scattering cross section and the definition of a microwave radar scattering cross section; 3) comparing the definition of the laser radar scattering cross section with the definition of the microwave radar scattering cross section, so as to obtain a relevance expression between the laser radar scattering cross section and the microwave radar scattering cross section; 4) according to the relevance expression, obtaining a transfer equation between the laser radar scattering cross section and the microwave radar scattering cross section; and 5) according to the transfer equation, obtaining a microwave radar scattering cross section curve. According to the invention, the traditional microwave radar is replaced by the laser radar, and the target microwave radar scattering cross section curve can be obtained under the condition of the known frequency scale factor of the laser radar and the microwave radar and the known target laser radar scattering cross section.

The invention discloses a laser radar slanting route visibility retrieval method. The method comprises the steps of: 1) employing laser radar detection inversion to obtain a profile of atmospheric aerosol optical parameters, microphysical parameters and atmospheric scattering characteristics on a slant path at different wavelengths to provide real-time and accurate atmospheric input parameters forthe solution of the atmospheric radiation transfer equation; 2) inputting the obtained atmospheric input parameters into the SBDART calculation software to obtain an atmospheric column illumination brightness on the slant path; 3) employing the atmospheric column illumination brightness on the slant path to establish a function relation of a contrast transmission coefficient and the slant opticalthickness; 4) determining the intrinsic contrast between the target and the background; and 5) employing the function relation of the contrast transmission coefficient and the slant optical thicknessand the intrinsic contrast between the target and the background, accurately solving the distribution of the visibility of the slanting path at different heights by employing a numerical method to determine the visibility value of the atmospheric slanting path. The problem is solved that the measurement result of the daytime slanting distance is inaccurate in the prior art.

The invention relates to a dynamic programming based routing method of a wireless sensor network, which designs a route control of the sensor network by dynamic programming. The method comprises the steps: first, obtaining the generating algorithm of node hop count in the network according to multi-hop characteristics of data transmission in the sensor network; then, selecting the node and representing the node by binary bits based on a dynamic programming concept; and finally, performing state compression to obtain a dynamic programming transfer equation and a route solving method. When the wireless sensor network routes, information is commonly transferred to a target node of the network through a middle node organized and selected automatically by a source node. The method provided by the invention aims to shorten the node transmission time of the sensor network, increase the communication rate, and reduce the route energy by the dynamic programming algorithm so as to minimize the transmission time of the sensor node. According to the invention, the requirements on hardware configuration of the sensor are low, the transmission time can be shortened to a great extent, and the method is suitable for route design in a large scale wireless sensor network.

The invention relates to the technical field of optical remote sensing image terrain correction. From the perspective of a physical mechanism of photon-canopy-terrain interaction, through a simplifiedradiative transfer equation, the invention provides an optical remote sensing image terrain correction method which gives consideration to both physical mechanism completeness and mathematical form simplicity. The optical remote sensing image terrain correction method comprises the following steps: an optical remote sensing image and DEM (Digital Elevation Model) data of a target are acquired; according to the DEM data, slopes and orientations are calculated, and according to an image header file, a pixel-by-pixel imaging geometry is calculated; atmospheric correction is carried out on the remote sensing image, so that a surface reflectance is obtained; a flat ground or slope extinction path corresponding to each pixel is then calculated; with the surface reflectance and the extinction paths as an input, a slope reflectance is corrected into a flat ground reflectance. The terrain correction method disclosed by the invention is highly universal, has business operation capability, and can help increase the application potential of the satellite remote sensing technology in mountainous areas.

The invention discloses a method for obtaining a laser atmospheric transmittance by utilizing a solar radiometer. The method comprises the following steps: measuring the total solar radiation transmittance Tsun of a specified wave band and the content PW of atmospheric vertical water vapor columns by utilizing the solar radiometer, performing analog computation on a spectral response function f (Lambda) by combining a radiance transfer equation and MODTRAN 5.0 software, thus finally obtaining the final calculation model of the total laser atmospheric transmittance Tlaser. The method fully considers the difference between a laser narrow spectral transmittance and a sunlight wide spectral transmittance, establishes the relationship of the laser atmospheric transmittance and the Tsun and the PW measured by the solar radiometer, minimizes the measuring error of the transmittance of laser during transmission in atmospheric air, and is suitable for the condition that atmospheric molecular absorption is mainly H2O absorption.

The present disclosure provides an accurate registration method for airborne enhanced synthetic visual virtual and real images based on visual inertial integration. The method includes a visual feature extraction process, a visual inertial fusion process and a virtual and real image registration process. The visual feature extraction process comprises the following steps: receiving pose parametersoutput by an inertial measurement unit, acquiring a 2D image, extracting a runway region from the 2D image, detecting a straight line in the runway region, and extracting a runway edge line; The process of visual inertial fusion includes: defining system state, establishing inertial error transfer equation, obtaining measurement information, nonlinear Kalman filter, modifying pose parameters; Theregistration process of the virtual and real images includes: driving the 3D terrain engine with the modified pose parameters to generate 3D synthetic view, and superimposing the 2D image on the 3D synthetic view to realize the registration of the virtual and real images.

The invention provides an AC transmission line harmonic transmission characteristic analysis method. The method comprises steps: according to a two-port network transfer equation of the transmission line, a frequency length factor is obtained, wherein the frequency length factor is the product of the phase shift constant and the length of the transmission line; a harmonic transmission model is obtained by using system operation parameters and the frequency length factor; and according to the harmonic transmission model, the harmonic transmission characteristics of a half-wavelength transmission line are obtained. Through the AC transmission line harmonic transmission characteristic analysis method provided in the invention, the harmonic transmission characteristics of the front end and thetail end of the half-wavelength line can be qualitatively and quantitatively analyzed, and the problems that the existing harmonic transmission characteristic analysis method can not determine the harmonic voltage of the half-wavelength line, the current front-tail end voltage transmission amplification law and the resonant frequency characteristics can be solved.

The invention provides a numerical simulation method of wind effect on building roof cornice, which comprises the following steps: firstly, establishing a calculation model, giving a finite three-dimensional calculation area in the numerical simulation, and determining a calculation basin; 2, carrying out mesh division and setting boundary condition; 3, solving that problem, wherein a 3D single-precision solver is adopted as the pressure-based implicit formula; 4, numerically simulating that wind effect of the roof structure with cornice due to the increase of the internal pressure caused by the open or sudden opening of part of the door and windows of the building correspond to the vertical line position of the cornice of the roof of the building, transferring The simulation position to the building door and window corresponding to the eaves perpendicular position of the building roof, and establishing the internal pressure transfer equatio. Simulating The power spectrum of fluctuating wind speed by The Schinozuka-Deodatis method, and deducing the internal pressure transfer equation of open-hole structure. The results of wind tunnel test and simulation are in good agreement. Numerical simulation can simulate the real wind environment and provide reference for the wind-resistant design of roof cornice.