124 results about "Superposition principle" patented technology

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.

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 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 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 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 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 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.

This invention provides a method for predicting surface vibration waveforms during tunnel blasting, comprising: first, deriving the vibration waveform function of a short-charge explosive charge based on Heelan theory; then, constructing a vibration calculation form suitable for tunnel cut-out blasting based on this short-charge explosive charge vibration waveform function, and calculating the surface vibration waveform function of the cut-out holes using the superposition principle; next, simplifying and correcting the formula for the waveform function of multiple-hole blasting to obtain the surface vibration waveform function of multiple-hole blasting in the tunnel; finally, determining the specific parameters in the formula by comparing with field measured data, and obtaining a surface vibration waveform function curve suitable for field use. This method can comprehensively and accurately predict the waveform time history curve of the entire process of surface vibration during tunnel blasting, rather than just predicting a single blasting peak value. It can effectively promote the field application of surface vibration waveform prediction for tunnel blasting and is of great significance for optimizing blasting parameters and ensuring the safety of various facilities and personnel around the blasting area.

The invention relates to the technical field of metal structure stability finite element analysis, in particular to a stability limit load calculation method based on a dichotomy and a computer program product, and the method comprises the steps: carrying out the structural modeling of a target structural part, completing the finite element pretreatment, applying an initial load to a modeled structure, obtaining an initial maximum Mises stress value of the structure, and calculating the stability limit load of the target structural part. According to the elastic field linear superposition principle and the stability upper limit principle, the initial load range [Flower, Fupper] of the stability limit load is calculated, then the load range is iteratively updated by adopting a dichotomy method until the convergence condition is met, the final stability limit load is obtained, the total calculation frequency is reduced by 40%-60%, and the final stability limit load is obtained. Meanwhile, full-process automation from load setting to result judgment is achieved, and the requirement for manual intervention is remarkably reduced.

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 provides a hydraulic fracturing crack propagation prediction method, system and equipment, and belongs to the technical field of oil and gas field development and yield increase. According to the method, aiming at the problem that the prediction precision is insufficient due to the fact that a traditional KGD and PKN model ignores fracturing fluid filtration failure, the whole fracturing process is decomposed into a plurality of continuous time periods through a coupling variable yield superposition principle and a Carter filtration model; the filter loss is calculated in each time period and corrected to obtain equivalent displacement, and then based on the equivalent displacement, a KGD or PKN model is adopted to calculate the half-crack length increment and the opening increment of the crack; and finally superposing the results of all time periods to obtain the total half-crack length and the total opening degree of the crack. According to the hydraulic fracturing crack propagation prediction method, system and equipment, the inhibition effect of filtration loss on crack propagation can be reflected more truly, the hydraulic fracturing crack propagation prediction method, system and equipment adapt to the variable displacement working condition in actual construction, and the prediction precision is remarkably improved.

Using the superposition principle of a linear system, it may be based on additional synthetic illumination images captured while illuminating the surface under all constituent illumination conditions (e.g., directed illumination from all directions or concurrent illumination using multiple different illumination patterns), a series of images of a surface captured under different illumination conditions (e.g., different illumination patterns or illumination directions) are registered with each other. Additional images may also be obtained in various combinations of illumination conditions and used with illumination multiplexing techniques to obtain super-resolution or de-noised images of the surface. A single super-resolution image may be used to derive a super-resolution or noise-reduced three-dimensional reconstruction based on the improved source image.

The invention provides a transient productivity prediction method based on a fracture-vug reservoir pressure recovery well test model, and relates to the technical field of oil and gas reservoir development. The prediction method comprises the following steps: S1, through fracture-vuggy reservoir pressure recovery well test interpretation, establishing a fracture-vuggy reservoir well test geologic model, and obtaining reservoir parameters; s2, establishing a bottom hole pressure calculation equation under a constant flow condition, and calculating bottom hole pressure by adopting a multi-stage flow superposition principle; s3, establishing a yield calculation equation under the condition of the fixed bottom hole pressure to obtain data of flow changing along with time under the fixed bottom hole flow pressure; s4, forming a productivity prediction method that both the yield and the bottom hole pressure change along with well testing, and establishing a productivity calculation equation of the yield and the pressure when both the pressure and the flow change based on a Duhanm principle to realize transient productivity calculation prediction; therefore, a new productivity prediction method suitable for the fracture-cavity type oil reservoir is formed. The long-term production pressure and yield change of the oil well can be predicted more accurately, and development and production allocation are guided.

The application discloses a kind of calculation methods for predicting cement-based material dry shrinkage viscoelastic deformation, comprising the following steps: establishing cement-based material structure model;Using Darcy's law, Fick's law and phase change law to describe the moisture transport behavior occurred in the drying process of cement-based material;Based on the basic law of thermodynamics, the constitutive equation of cement-based material in the drying process is established;Establish humidity-mechanical coupling equation, determine the instantaneous elastic deformation of cement-based material dry shrinkage;Based on Boltzmann superposition principle, determine the time-dependent viscous deformation of cement-based material dry shrinkage, obtain the total deformation of cement-based material dry shrinkage;Determine the calculation parameters, predict the dry shrinkage of target cement-based material under specific conditions.The present application solves the problem that the current cement-based material dry shrinkage viscoelastic deformation prediction model is often an empirical model fitted under specific experimental conditions, with low accuracy, no universality and scalability.

The invention discloses an internal meshing powerful gear honing tooth surface temperature field calculation method based on a superposition point heat source, and belongs to the technical field of gear machining and manufacturing. Comprising the steps of constructing a tooth surface equation and a honing machining coordinate system, calculating a relative speed vector between a gear and a honing wheel in the honing machining process, determining a tooth surface contact point based on the meshing principle according to the relative speed vector between the gear and the honing wheel, calculating the heat flux density at the tooth surface contact point, and obtaining a continuous tooth surface contact line heat source based on the heat flux density. On the basis of the point heat source superposition principle, contact point heat sources of the whole tooth surface are superposed, and the temperature rise generated by the whole tooth surface to a target point in the honing machining process is calculated. According to the method, the dynamic gear honing machining process is accurately simulated, the problem that a traditional temperature field method is not applicable is solved, through high-precision calculation, gear surface burning can be effectively prevented, the technology is optimized, residual stress is predicted, a key tool is provided for improving gear quality, and the method is efficient in calculation and convenient for engineering application.

The invention discloses a global noise efficient evaluation method for a large-scale rotorcraft in a complex urban environment, and the method comprises the steps: S1, dispersing a paddle into a rotating point sound source, and obtaining an acoustic mode coefficient of a single rotor based on a superposition principle of linear acoustics; s2, constructing a reference single-rotor noise acoustic modal coefficient database by taking the key flight parameters as variables; and S3, obtaining a current flight state rotor noise acoustic modal coefficient through database linear interpolation, and obtaining a current single rotor noise acoustic modal coefficient through sound field transformation. S4, using geometric acoustics to predict the propagation path of the global noise of the rotor wing in the complex urban environment, combining the rotor wing noise acoustic modal model to calculate the noise pressure of each propagation path, and superposing to obtain the global noise. Noise solution in a time domain is transferred to an acoustic mode domain, global noise calculation time is shortened, global noise calculation precision and efficiency are guaranteed by combining acoustic modes with geometric acoustics, and the problem of global noise evaluation of a large-scale rotorcraft in a complex urban environment is solved.

This invention relates to the field of wind power generation technology, and in particular to a method for early warning of wind turbine blade flutter based on low-frequency noise. First, the geometric model information and physical parameters of the wind turbine blade are acquired. Then, the modal frequencies and mode shapes of each order of the blade are calculated. According to the superposition principle of vibration modes, blade flutter will inevitably radiate low-frequency noise at the corresponding modal frequencies. Microphones installed on the wind turbine are used to monitor wind force and low-frequency noise generated during operation in real time. The noise intensity at the blade flutter frequency is obtained and monitored through signal processing, and an early warning intensity threshold is set. When the low-frequency noise signal at the flutter modal frequency exceeds the early warning threshold, a flutter warning is immediately issued. This allows for early warning before significant blade deformation occurs, greatly improving the safety margin.

The present disclosure provides a method for predicting the productivity of a direct well of a gas storage under the conditions of interwell interference and strong injection and production, comprising: obtaining basic data of a target formation of a natural gas underground gas storage; based on the basic data of the target formation of the natural gas underground gas storage and a direct well productivity prediction mathematical model, using the superposition principle to calculate the pressure superposition solution of the target direct well under the conditions of interwell interference and strong injection and production, and obtaining the bottom hole pressure solution of the target direct well of the direct well productivity prediction mathematical model; based on the bottom hole pressure solution, obtaining the production solution of the target direct well, and predicting the productivity of the target direct well in the natural gas underground gas storage. On the basis of the existing productivity prediction method, the superposition principle is used to solve the influence of interwell interference and strong injection and production on the calculation of the productivity of the direct well of the gas storage, improve the accuracy of the direct well productivity prediction mathematical model, reduce the error in the productivity calculation process, and accurately predict the productivity of the direct well of the gas storage.

The application discloses a preliminary design rapid estimation method and system for tower deviation of a multi-tower cable hoisting system, and relates to the field of tower deviation estimation in bridge construction technology.The estimation method comprises the following steps: calculating the single-span horizontal elastic stiffness of each span compression tower cable based on an equivalent elastic modulus method; calculating the total equivalent stiffness of each tower according to a series stiffness model, specifically comprising the following steps: first, calculating the corresponding left series stiffness and right series stiffness, and then adding the left series stiffness and the right series stiffness to the self equivalent stiffness of the tower to obtain the corresponding total equivalent stiffness; when a single tower is subjected to an external force, calculating the self deviation and the collaborative deviation of the adjacent tower based on a deviation influence coefficient; and when multiple towers are simultaneously subjected to force, calculating the total deviation of any tower by using a superposition principle.The application is suitable for rapid scheme comparison and selection in the preliminary design of a multi-tower cable hoisting system with any number of spans and towers, and has the advantages of strong universality, reliable precision, easy implementation and the like.

The invention discloses an energy tunnel multilayer heat exchange heat-force coupling calculation method, and relates to the technical field of energy tunnel engineering. According to the method, a three-layer cooperative calculation model is established and comprises a surrounding rock temperature field model, a tunnel air flow heat exchange model and a heat exchange tube-duct piece-surrounding rock thermal coupling model. By acquiring geology, structure, heat exchange tube and operation parameters, a surrounding rock temperature field is solved by applying a Green function method and a linear superposition principle, and a thermal coupling complete solution is obtained by combining a thermal coupling model. And then evaluating the safety of the segment structure according to the specification, if the standard is not reached, iteratively adjusting the parameters until the requirements are met, and finally outputting an optimization design scheme. Tunnel air flow heat exchange is brought into a calculation system for the first time, and the heat exchange precision is improved; a complete heat exchange tube-segment-surrounding rock thermal coupling calculation method is established, and a comprehensive basis is provided for structural safety evaluation; and meanwhile, the train operation pulse thermal load is considered, so that the calculation result better conforms to the actual operation working condition.

The application discloses a common-mode electromagnetic interference modeling method, equipment, medium and product for a gallium nitride synchronous step-down converter, relates to the technical field of electromagnetic compatibility and power electronic modeling, and comprises the following steps: determining a common-mode conduction path, and then determining an EMI noise source; constructing an equivalent circuit of the gallium nitride synchronous step-down converter based on the EMI noise source; constructing a voltage-dependent nonlinear equivalent capacitance model of a switching device in the gallium nitride synchronous step-down converter, and further constructing an analytical model of the gallium nitride synchronous step-down converter; determining simulation data of the analytical model; constructing a unified composite excitation source based on the simulation data by using the superposition principle; replacing the EMI noise source in the equivalent circuit with the unified composite excitation source to obtain a unified CM-EMI model, and then obtaining a final common-mode electromagnetic interference model. The application can improve the prediction accuracy of high-frequency resonance.

The application discloses a coal mine equipment state perception method based on a large model and digital twinning, relates to the technical field of state perception, and comprises the following steps: inputting a multi-modal data set into a quantum convolutional encoder, compressing features through a quantum state superposition principle, simultaneously selecting key feature fragments by using an attention gate mechanism, and generating a multi-scale digital twin of the equipment; according to the multi-scale digital twin, a dynamic correlation model between equipment components is established by using a space-time graph Transformer network, the interaction strength between components is quantified by using a graph attention mechanism, and a neural differential equation is used to describe the equipment state evolution process to obtain an equipment state evolution model; the equipment state evolution model is combined with a generative adversarial network, and a generator is used to simulate the equipment degradation path; and the application adaptively filters key dynamic fragments through the attention gate mechanism, breaks through the classical convolution serial bottleneck and the limitation of the fixed attention rule, realizes exponential dimension reduction, and accurately captures the degradation-related space-time pattern.