177 results about "Superposition principle" patented technology

The invention provides a power grid cable temperature monitoring and alarming method, device and equipment and a storage medium. The method comprises the following steps: acquiring cable outer sheath temperature data through a temperature sensor and acquiring cable current load data and health condition indexes; calculating the temperature of the conductor according to the temperature data of the outer sheath, the current load data and the environmental parameter data by using a superposition principle calculation model based on time attenuation coefficient correction; according to the cable health condition index, calculating a grading early warning threshold value, and comparing the conductor temperature with the threshold value to determine an early warning grade; and when the early warning level reaches a preset condition, matching the sheath temperature data with a template in an abnormal mode library, identifying an abnormal reason through multiple algorithms, and generating a disposal suggestion in combination with geographic information system data. According to the invention, the conductor temperature can be quickly and accurately calculated, the early warning threshold value is dynamically adjusted, the abnormal reason is intelligently identified, and the accuracy and effectiveness of cable temperature monitoring and early warning are greatly improved.

The invention relates to an influence matrix-based arch bridge cable-stayed buckle hanging buckle cable force multi-target data processing method and a multi-target optimization system thereof. The method comprises the following steps: establishing a finite element model, and correcting the model according to a construction sequence; extracting a plurality of correlation influence matrixes, wherein the influence matrixes comprise a displacement influence matrix, a cable force influence matrix and an internal force influence matrix; on the basis of a superposition principle, according to the obtained multiple correlation influence matrixes, obtaining an influence matrix relation, and then obtaining initial tension vectors of the buckle cables; and determining a plurality of corresponding constraint conditions based on an optimization theory, establishing an initial cable force multi-objective optimization model of a variable load, and calculating cable force value parameters of a buckle back cable of the cable-stayed buckle-hanging construction arch bridge. According to the method, the axial force of the arch rib rod piece and the arch rib line shape in the cable-stayed buckling construction process of the large-span arch bridge can be effectively controlled, and the optimal arch line shape and the stable stress state of the arch ring of the bridge are achieved.

The invention provides an analysis method for multi-cluster fracturing crossing in a horizontal well section of a sand shale reservoir, which comprises the following steps of: based on a boundary element theory, considering three-dimensional fracture stress interference and flow distribution of each cluster, and establishing a full-three-dimensional fracture propagation numerical model of segmented multi-cluster fracturing stress interference and flow distribution of a tight gas horizontal well; coupling the wellbore flow model and the crack propagation numerical model through bottom hole pressure to obtain a coupling model; based on a three-dimensional boundary element theory, aiming at the coupling model, discretizing different fracture forms into rectangular units, and establishing a three-dimensional boundary element stress interference calculation model through a superposition principle; under the condition that geological factors are kept constant, the influence of different construction parameters on crack propagation and layer crossing behaviors is analyzed, a crack layer crossing main control factor is obtained, and the conditions and boundaries of segmented multi-cluster fracturing layer crossing of the sand-mud interbed horizontal well are determined. The method provides a basis for optimization of crack parameters and construction parameters.

The invention discloses a method, a device, a medium and a program for forecasting noise of a water surface ship propeller based on excitation source reconstruction. The method comprises the following steps: firstly, determining vibration sensing point location distribution and sound field assessment point positions; determining the arrangement and size of a reconstruction source; obtaining vibration and sound transfer functions from the reconstruction source to the sound field assessment point, and numbering the functions in sequence; according to a transfer function invariance principle, establishing a propeller noise forecasting method based on a reconstructed excitation source; rapid prediction of the structural noise of the propeller shaft ship under multiple reconstruction sources is realized; the direct sound production coherence of the propeller is judged, if the direct sound production coherence is strong coherence, correction continues to be carried out to obtain vibration sound transfer functions from the reconstruction source to the sound field assessment point, and numbering is carried out in sequence; if the signal is weak coherence, a direct sound production noise source model is established based on a sound-sound transfer function, radiation noise under direct sound production of the propeller is obtained through calculation, and prediction of the propeller noise considering direct sound production is achieved based on the vector superposition principle. The method is suitable for ship thruster shafting vibration monitoring and thruster noise rapid forecasting and evaluation.

The invention provides a deep coal seam roadway surrounding rock stability intelligent early warning method, and relates to the technical field of coal mine dynamic disaster prevention and control. According to the intelligent early warning method for the stability of the surrounding rock of the deep coal seam roadway, a basic sample library is constructed through a dynamic and static combined loading rock test; synchronously collecting field surrounding rock static stress and micro-seismic data and carrying out time sequence polymerization; constructing an equivalent dynamic and static combined stress index based on a dynamic and static load superposition principle, and forming a seismic-force coupling feature vector; establishing an LSTM early warning model, adopting a transfer learning strategy, pre-training by using laboratory data, and then performing fine tuning by using field data; inputting the real-time feature vector into a model and outputting an instability probability; and verifying and correcting the probability based on actual deformation data of the surrounding rock, and applying a missing report sample to online incremental updating of the model. According to the method, the dynamic and static load coupling effect is quantified, the difficulty of small sample training is overcome, and accurate and self-adaptive early warning of the deep roadway surrounding rock instability risk is realized through a physical feedback closed-loop correction mechanism.

A multi-mode surface-wave free-field inversion method based on dispersion properties of layered media addresses the inaccuracy in existing methods that ignore higher modes. A novel approach for characterizing the participation quantity of each mode is proposed based on an energy flux density, which is applied to calculate a modal participation factor through dispersion curves and the frequency-domain dynamic stiffness matrix. Next, the ground surface-wave components with dispersion properties are transferred from the time domain to the frequency domain and decomposed into harmonic components composed of individual frequencies by the Fast Fourier Transform technology. These harmonic components continue to be decoupled as multiple modes by the modal participation factors, with each single-mode component being inverted to construct single-mode surface-wave free fields. Finally, all single-mode surface-wave free fields are superimposed following the mode superposition principle to form the multi-mode surface-wave free fields.

The invention discloses a coil structure-based length self-sensing method for high polymer twisted artificial muscle, which comprises the following steps of: firstly, enabling the artificial muscle to be equivalent to N equidistant circular current loops, establishing an inductance calculation formula by combining a Biot-Savart law and a magnetic field superposition principle, and breaking through the limitation of a traditional solenoid model on a helical angle; then through MATLAB numerical simulation and iterative computation, fitting to obtain a power function describing the relation between inductance and length; and finally, proposing a parameter dynamic correction mode based on single-time initial inductance measurement according to complex factors such as actual magnetic flux leakage and skin effect, and realizing rapid adaptive calibration by adjusting a parameter b. In a word, the method creatively combines theoretical modeling with experimental correction, the sensing precision in a dynamic stretching scene is remarkably improved while the inductance-length macroscopic trend prediction capability is ensured, dependence on a large amount of experimental data is not needed, and the method has good engineering applicability and is worthy of popularization.

The invention discloses an underground pipeline intelligent leakage detection method and device, and relates to the field of intelligent leakage detection.The method comprises the steps that a high-frequency pressure sequence of a target pipe section is collected, and based on the Boltzmann superposition principle, the high-frequency pressure sequence is used for constructing a neural lag operator network by taking the environment temperature as a heat rheological regulation factor; taking the full historical stress-strain memory field tensor as input, carrying out non-local memory characteristic and hysteresis loop analysis, carrying out point-by-point differential processing on a high-frequency pressure sequence and the intrinsic nonlinear hysteresis response signal of the pipe, stripping non-stationary background fluctuation, avoiding modulation interference of material nonlinearity on a fluid signal, and obtaining a non-linear hysteresis response signal of the pipe. The method comprises the following steps: extracting the abnormal residual error of the fidelity fluid dynamics, constructing a spatio-temporal evolution Poincare section, inputting the spatio-temporal evolution Poincare section into a convolutional neural network, judging the real leakage negative pressure wave and the random drift of the sensor through the morphological difference of attractors on the spatio-temporal evolution Poincare section, and eliminating the periodic false alarm caused by the rheological property of the material.

The invention discloses a rapid calculation method for electromagnetic vibration of a permanent magnet synchronous motor, and belongs to the technical field of electromagnetic field calculation. According to the method, a magnetic potential and magnetic conductance method is innovatively combined with an improved sub-domain method, the problem of complexity of electromagnetic field distribution of a nonlinear material is effectively solved through the magnetic potential and magnetic conductance method, and the capture precision of electromagnetic field changes is remarkably improved by dividing a computational domain into a plurality of sub-domains through the improved sub-domain method. According to the method, the influence of the tangential electromagnetic force wave and the harmonic current is fully considered, and high-precision calculation of the electromagnetic force can be realized. On the basis, a stator core shell equivalent theoretical model is established, the inherent frequency of the stator is calculated by adopting an energy method, and the accuracy of the model is verified through a modal experiment. Furthermore, by determining the frequency response function of the stator in the low-order mode, the acceleration spectrum and electromagnetic force wave distribution of the prototype stator in each mode are obtained based on the linear superposition principle. Compared with a traditional electromagnetic-structure coupling finite element model, the method has the advantages that the calculation efficiency is remarkably improved while the calculation precision is guaranteed, the calculation time is shortened by 59.3%, and efficient and reliable technical support is provided for optimization design of electromagnetic equipment.

The invention relates to the technical field of electromagnetic scattering, in particular to a frequency domain response calculation method and device of an electromagnetic field, equipment and a storage medium. Performing recursive transformation on the time domain basic system equation according to the discrete time domain set and a backward Euler method to obtain a time domain transformation equation and an algebraic matrix equation; carrying out back substitution solving operation on the algebraic matrix equation according to a time domain stepping method and a time domain transformation equation; performing full-time-domain response calculation on the time-domain finite element solution based on a time-domain finite element method to obtain a time-domain base solution; calculating the time domain base solution according to a preset linear superposition principle to obtain a frequency domain response; a continuous problem is dispersed through a backward Euler method, rapid back substitution solution is carried out after factorization for one time, and redundant calculation is reduced; based on a linear superposition principle, phase weighting is carried out to synthesize a time domain base solution, frequency domain response of any frequency is rapidly obtained, frequency-by-frequency repeated calculation is avoided, efficiency is improved, and the method is suitable for broadband high-precision electromagnetic field analysis and has remarkable application value.

The invention discloses a high-reliability aircraft communication encryption method based on a quantum neural network. The aircraft communication encryption method comprises the following steps: collecting and preprocessing aircraft communication original data; the method comprises the following steps: initializing a quantum neuron state by using a quantum state superposition principle, and determining an initial connection weight value of a quantum neural network by calculating probability amplitude values of different quantum gate operations so as to construct an initial quantum neural network structure; generating an encryption key according to quantum bits of the output layer of the quantum neural network; for aircraft communication data to be transmitted, an encrypted data ciphertext is obtained according to the encryption key, a quantum key distribution technology is utilized to generate and distribute the key, and the ciphertext and the key are transmitted through a communication channel; and the receiving end receives the ciphertext and decrypts and verifies the security in the ciphertext transmission process. According to the method, the aircraft communication data is encrypted based on the quantum neural network, and the security in the aircraft communication process is improved.

The invention relates to the technical field of multi-layer commingling production, and discloses a multi-layer commingling production interlayer interference mechanism calculation method for different types of gas reservoirs, which comprises the following steps of: constructing a single-layer dimensionless mathematical model for respectively representing each reservoir of a commingling production well, and solving a bottom hole pressure solution of the corresponding model; the known gas production rate of the commingled production well is input into the model, and a theoretical well bottom pseudo-pressure value is calculated through the superposition principle; performing historical fitting on the actual well bottom pseudo-pressure value and the theoretical well bottom pseudo-pressure value of each reservoir to obtain characterization parameters; calculating to obtain the predicted gas production rate of the corresponding model in combination with the characterization parameters, and summing the gas production rate of the commingled production well; the abscissa material equilibrium time, the ordinate regularization yield and the calculation formula of the Blasingame curve are obtained, and the gas production rate of the commingling production well is obtained through calculation; according to the obtained gas production rate of the commingled production well at the current time step, determining the influence of the reservoir interference between the obtained gas production rate of the commingled production well during multi-layer commingled production and the gas production rate of the commingled production well obtained through summation.

The invention discloses a multi-round question and answer implementation method for standard specifications, which comprises the following steps of: firstly, generating a knowledge graph of a directed acyclic graph by utilizing a natural language processing technology, and storing the knowledge graph in a database; then, entity node content is obtained and added to a word bank, possible questions are marked, and key entities in the questions are extracted; and then, combining the extracted key entities with the entity relationship in the knowledge graph to generate a query statement. And after the database is inquired to obtain a result, processing a plurality of paths and converting the paths into a dynamic tree structure, calculating path similarity by utilizing a quantum state superposition principle, and displaying node contents layer by layer until leaf nodes. Through an adversarial training and data enhancement technology, training data are automatically labeled and expanded, and a multi-modal user interface and an adaptive weight adjustment algorithm are combined, so that a question and answer strategy is optimized, and the system performance is improved. According to the method, the ambiguity problem encountered when the user queries the standard specification can be effectively solved, and the accuracy and the user satisfaction of the question-answering system are improved.

The invention belongs to the technical field related to tunnel anti-seismic analysis, and discloses a green function analytical method and equipment for rayleigh wave dynamic coupling response of an interval tunnel in an inclined field. The method comprises the steps that S1, soil deformation and displacement in the x direction and the y direction caused by Rayleigh wave propagation are converted into tunnel equivalent seismic loads in the x direction and the y direction through a viscoelastic geobasic structure model; s2, a Timoshenko beam model on a viscoelastic Pasternak foundation is adopted to establish a partial differential equation set for controlling axial and transverse dynamic displacement responses of longitudinal discrete units of the interval tunnel; s3, deducing four Green functions representing the bidirectional dynamic coupling response of the tunnel in combination with a Green function method and an artificial spring boundary; and S4, performing integral operation on the Green function by using a superposition principle, and introducing an exponential function term containing time t to obtain axial displacement and transverse displacement of the tunnel and corresponding axial and transverse dynamic coupling response coefficients. According to the invention, the solving efficiency is improved.

The invention discloses a geometric irregularity state deterioration characterization method for a longitudinally-connected ballastless track on a high-speed railway bridge under a transverse earthquake, and the method comprises the steps: building a refined finite element model of a longitudinally-connected ballastless track-bridge system, and analyzing the damage characteristics and distribution rules of key components of the earthquake-caused track-bridge system; the characteristic of damage state degradation of key components of the earthquake-induced track-bridge system and a mapping mechanism are disclosed; then, based on the second theorem of Castlliano and the superposition principle, a geometric irregularity state deterioration characterization model of the longitudinally-connected ballastless track on the high-speed railway bridge under the action of the transverse earthquake is constructed, the geometric irregularity state of the longitudinally-connected ballastless track on the simply-supported / continuous beam bridge is mapped based on the deterioration characterization model, deformation data of the steel rail under the action of the earthquake are accurately quantified, and the accuracy of the deformation of the steel rail under the action of the transverse earthquake is improved. The method provides a theoretical basis for quickly judging the post-earthquake traffic capacity and maintenance engineering of a track-bridge system, ensures the operation safety of a high-speed railway, provides a theoretical basis for the design of a high-speed railway track-bridge, is beneficial to post-earthquake track repair and train operation recovery, and has a good practical value and a good popularization prospect.

The invention provides a regional power grid equivalent damping coefficient evaluation method and system based on data collected by a synchronous phasor measurement device, and belongs to the technical field of power system parameter identification. The method comprises the following steps: firstly, selecting a frequency measurement result with relatively high data quality before and after a large disturbance event, and analyzing the influence of a determined component and a noise component of an active unbalance amount on a system frequency dynamic state in the large disturbance event; secondly, performing curve fitting on discrete frequency measurement results, and estimating a frequency response component caused by a noise component effect after a large disturbance event based on a superposition principle; on the basis, the equivalent damping coefficient of the regional power grid is estimated by combining the active power sudden change amplitude caused by the large disturbance event, the occurrence time of the large disturbance event and the inertia coefficient of the regional power grid.

The invention discloses a coal mining equipment state sensing method based on large model and digital twinning, which relates to the technical field of state sensing, and comprises the following steps: inputting a multi-modal data set into a quantum convolution encoder, carrying out feature compression through a quantum state superposition principle, selecting key feature fragments by utilizing an attention gating mechanism, and carrying out feature compression on the key feature fragments; generating a multi-scale digital twin of the device; according to the multi-scale digital twins, a space-time diagram Transform network is used for establishing a dynamic correlation model between equipment parts, the interaction intensity between the parts is quantified through a diagram attention mechanism, the equipment state evolution process is described through a neural differential equation, and an equipment state evolution model is obtained; combining the equipment state evolution model with the generative adversarial network, and simulating an equipment degradation path through a generator; according to the method, key dynamic fragments are adaptively screened through an attention gating mechanism, the classic convolution serial bottleneck and fixed attention rule limitation are broken through, exponential-level dimension reduction is achieved, and a degeneration-related space-time mode is accurately captured.

The invention provides a virtual power plant-power distribution network voltage dynamic cooperative control method and device, and the method comprises the steps: obtaining multi-source heterogeneous data to construct a mixed data set, and mapping the mixed data set to a quantum state space for feature extraction; fusing the quantum features, the satellite cloud picture and the voltage waveform data, and modeling by adopting quantum probability; generating a DERs output scene based on a quantum state superposition principle, searching and quantifying the voltage out-of-limit probability amplitude of each node, and generating a power distribution network risk thermodynamic diagram; constructing a hierarchical control decision; the hierarchical control decision is executed, then a causal logic chain of a voltage out-of-limit event is generated through an invariant graph reasoning network, the contribution degree of features to the control decision is quantified, and iterative optimization of model parameters is achieved in combination with a meta-learning mechanism. Based on the method, the invention further provides a voltage dynamic cooperative control device, self-adaptive response of distributed energy uncertainty is achieved, and a solution is provided for voltage stabilization of the power distribution network in a high-proportion new energy access scene.

Using the superposition principle of linear systems, a series of images of a surface, captured under different illumination conditions (e.g., different patterns or directions of illumination) can be registered to one another based on an additional, composite illumination image that is captured while illuminating the surface under all of the constituent illumination conditions, e.g., with directional illumination from all directions concurrently or with concurrent illumination using a number of different illumination patterns. Additional images may also be obtained under various combinations of illumination conditions, and used with illumination multiplexing techniques to obtain super-resolution or noise-reduced images of the surface. The individual super-resolution images may be used, in turn, to derive super-resolution or noise-reduced three-dimensional reconstructions based on the improved source images.

The invention provides an IGBT junction temperature estimation method and system for a motor controller. The method comprises the steps that S1, working condition data and power module parameters of a whole vehicle are acquired; s2, calculating the average loss power of each switch tube based on real-time working conditions and module parameters, determining equivalent coupling thermal impedance matrix parameters of different switch tubes to a temperature sensor and thermal resistance parameters from a chip to cooling liquid according to a cooling liquid flow signal, and obtaining a power compensation coefficient in combination with the rotating speed of a motor, the temperature rise of the temperature sensor is calculated according to the linear superposition principle through the loss power, the compensation coefficient and the equivalent coupling thermal impedance matrix of the different switch tubes, and then the estimated water temperature is obtained, and S3, the chip junction temperature is obtained according to the loss power, the power compensation coefficient, the thermal resistance from the chip to the cooling liquid and the estimated water temperature of the different switch tubes in the same phase. According to the method, the resource occupation of the processor is effectively reduced, and the water temperature and junction temperature estimation precision under all working conditions such as locked-rotor and low-rotating-speed conditions is remarkably improved.

The invention discloses a calculation method for predicting hydraulic fracturing bursting pressure of any inclined shaft of a marine hydrate reservoir, which comprises the following steps of: establishing a three-way main stress calculation model under an original ground stress coordinate, and performing stress transformation to obtain a ground stress characterization relation of any point on the wall surface of a shaft; on the basis of the stress superposition principle, the in-situ stress, the liquid injection pressure and the percolation pressure are superposed to obtain a stress distribution calculation model of any point around the wall of any inclined shaft, and the three-direction principal stress under the polar coordinate system of the inclined shaft is calculated; establishing a fracture pressure calculation model for predicting hydrofracture of the marine hydrate reservoir; and calculating the fracture pressure of the marine hydrate reservoir by adopting a numerical calculation method, an iterative calculation method and an iterative algorithm. By means of the method, quantitative prediction of the hydrofracture bursting pressure of any inclined shaft of the hydrate reservoir is achieved, the technical blank of predicting the hydrofracture bursting pressure of any inclined shaft of the marine hydrate reservoir is filled up, and technical support is provided for correctly designing and smoothly implementing marine hydrate reservoir yield increasing modification measures.

The invention relates to a method for calculating the vibration response of a foundation beam with a locally-disengaged bottom under a moving load, and the method comprises the steps: determining a vibration equation of the foundation beam with the locally-disengaged bottom under the moving load according to the stress balance of the foundation beam; a separation variable method is adopted to determine a vibration modal equation of the foundation beam with the locally-void bottom; determining a vibration mode expression of the foundation beam by adopting an analytical method according to the vibration mode equation of the foundation beam with the locally-void bottom; according to boundary conditions and continuous conditions of the foundation beam, establishing a linear equation set of undetermined parameters in the free vibration frequency and vibration mode expression of the foundation beam with the locally-void bottom; determining a generalized coordinate of the vibration mode of the bottom local void foundation beam according to the vibration mode of the bottom local void foundation beam and the orthogonality of the structural vibration mode; and according to a structural vibration mode superposition principle, a vibration response expression of the foundation beam with the locally-disengaged bottom under the moving load is determined. The method is beneficial to accurately analyzing and predicting the dynamic response influence of the bottom void on the foundation beam under the excitation of the moving load.

The invention discloses a circular inductosyn error prediction method and system based on a hybrid model, and relates to the technical field of precision measurement, and the method comprises the steps: obtaining target position-error data; constructing a circular inductosyn error prediction model according to a normalization principle, a first harmonic linear term, a radial basis function neural network term, a dynamic parameter optimization mechanism and a linear superposition principle; and inputting the target position-error data into the circular inductosyn error prediction model to obtain an error prediction value. The problems of positioning misalignment, poor real-time performance and weak generalization ability of a high-precision servo system caused by temperature drift and complex interference are solved, efficient and reliable embedded real-time correction of the circular inductosyn is realized, and the error prediction precision of the circular inductosyn is improved.

The invention relates to the technical field of civil engineering, in particular to a method for calculating the seismic response of a pile group under the action of seismic P waves, a pile-soil coupling model is established based on a continuous elastic dynamics theory, and pile-pile dynamic interaction factors are calculated by decoupling displacement of a free field and a scattered field of a soil body and combining coordinate transformation, so that the seismic response of the pile group is calculated. The displacement response of a pile group system is solved according to the superposition principle, the influence of pile spacing and soil mass parameters on the anti-seismic performance of the pile group is quantitatively evaluated by adopting a method of combining frequency domain amplitude-frequency characteristics and time domain PGA attenuation analysis, and theoretical support is provided for pile foundation optimization design.

The invention discloses a magnetic field coil hybrid optimization design method based on an array structure, and the method comprises the steps: combining a plurality of saddle-shaped coils into a coil array, and analyzing a magnetic field mathematical model of a single coil on the basis of considering the coupling effect of a high-permeability material on a coil magnetic field; and a magnetic field mathematical model of the saddle-shaped coil array is obtained according to a superposition principle. And optimizing the optimal current integer ratio between saddle-shaped coils in the array by combining the mathematical model with a particle swarm algorithm, converting the current integer ratio of the coils into a linear combination of the number of turns and the current of each coil, and optimizing the minimum number of turns and the optimal current required by each coil by using the particle swarm algorithm again. And finally, coil path planning is carried out through a depth-first search strategy, and an optimized magnetic field coil is generated. According to the invention, the uniformity of the coil is greatly improved, discretization errors are avoided, the structure is simple, and practical application is facilitated.

The invention relates to a cable-stayed bridge stay cable force data processing method and system based on an influence matrix. The method comprises the following steps: constructing a bridge model, and extracting a corresponding influence matrix through finite element software; taking the sum of squares of the tower deviation value, the linear difference value and the cable force difference value as a judgment function; a cable force influence matrix equation is obtained based on the superposition principle, the cable force adjustment amount of each stay cable, the initial tension vector of the stay cable, the tower deviation and the line shape of the main tower are obtained through solving, and then the cable force adjustment value vector of each stay cable is obtained through solving; establishing a mathematical model based on an optimization theory, and calculating to obtain an optimal cable force; wherein the difference value between the adjusted main tower deviation and the target tower deviation, the difference between the adjusted bridge surface line shape and the target line shape, the difference between the adjusted cable force and the mechanical cable force and the upstream and downstream deviation are used as constraint conditions, and the cable force variance is used as an optimization target function. According to the method, the uniformity of the bridge deck line shape, the offset of tower deflection and the cable force of the stay cable in the construction process can be effectively controlled.

The invention relates to the technical field of reservoir physical properties, and particularly discloses application of an improved variable yield analysis method in evaluation of reservoir physical properties. Comprising the following steps that firstly, the change of the yield in actual production is simplified into stepped change, and the flowing bottomhole pressure at each moment is calculated according to the superposition principle; secondly, regarding each production section as a homogeneous reservoir, solving the obtained flowing bottomhole pressure equation at each moment to obtain the change of the permeability of the reservoir, and establishing a minimum objective function of each flowing pressure; and finally, recording the permeability when the minimum M is obtained under each yield to obtain the average permeability of the pressure wave and the area under the yield. The method can analyze the continuous change of the parameters of the reservoir around the production well, is simple, accurate in analysis effect, suitable for homogenizing oil reservoirs and homogenizing heterogeneous oil reservoirs, can be popularized to production analysis of other reservoir types, and has great application prospects.

The invention discloses a multi-heat-source digital twin model automatic optimization and decoupling control method and system, and the method comprises the steps: constructing a local two-dimensional plane coordinate system, obtaining the end point coordinates of heat sources, and calculating the heat radiation intensity of the heat sources to a target point; establishing a geometric parameter model of the additive manufacturing multi-heat-source system, and establishing a radiation field response model of the multi-heat-source system based on a linear superposition principle; according to the heating requirement of additive manufacturing, a target heat radiation field is designed, optimal power distribution of the target heat radiation field is calculated, and optimal heat source structure parameters are determined based on geometric constraints of a physical basis; and according to the optimal heat source structure parameters, a decoupling control rule is designed, and heat source power is adjusted according to feedback data to compensate deviation. According to the method, the point heat source, the line heat source and the plane heat source are abstracted into the line heat source in a unified mode, a universal frame is provided for digital modeling of a complex multi-heat-source system, and the complexity of modeling for different heat source types is avoided.

The application discloses a micro-nano circular plate fracture analysis method considering coupling of surface effect and plastic zone, and firstly establishes a three-dimensional curved surface coordinate system suitable for a surface layer, and then further corrects a Dugdale cohesion force model according to a superposition principle after considering surface correlation of the plate, and then simplifies the Dugdale cohesion force model into a hyper-singular integral equation by using Hankel transformation, and finally obtains influences of the surface effect on the plastic zone size and crack surface displacement by numerically solving the hyper-singular integral differential equation.The method can accurately capture the nonlinear coupling relationship between the crack size, the surface shear modulus, the torsional displacement and the stress intensity factor under the micro-nano scale, effectively corrects calculation deviation generated by traditional classical theory when the surface effect is ignored, ensures the accuracy of the fracture analysis under different scales, and realizes more accurate and more comprehensive theoretical description of the elastic-plastic fracture behavior of the micro-scale material.

The invention belongs to the technical field of permanent magnetic transmission, and provides a permanent magnetic speed reduction transmission device and a static torque calculation method thereof. Firstly, an air gap periodic change is manufactured through rotation of the middle modulation part, and the difference between pole pairs of inner and outer rotor permanent magnets is specified according to the transmission ratio requirement, so that magnetic fields between the inner rotor permanent magnets and the outer rotor permanent magnets can be effectively coupled to transmit torque, and differential transmission is achieved. The method for calculating the static torque of the permanent magnet magnetic speed reduction transmission device is based on a magnetic field superposition principle and a modulation function method, an empirical formula of an air gap flux density mathematical model is summarized according to the relation between air gap flux density and transmission torque between permanent magnets, and the static torque of the permanent magnet magnetic speed reduction transmission device is calculated according to a torque formula between the permanent magnets. Therefore, the transmission performance is accurately analyzed, the advantage of simple and convenient calculation is maintained, and the calculation result is more accurate. The method has better practical application performance in the aspect of practical engineering application, and is simple and convenient to operate and high in calculation efficiency.