85results about How to "Improve engineering applicability" patented technology

A kind of time domain ground penetrating radar intelligent forward method based on physical parameter guidance, comprising the following steps: step one: build underground medium model and generate supervision data;Step two: the ground penetrating radar GPR forward simulation is expressed as the mapping problem of " physical parameter field to radar profile ";Step three: build PhyTANet network based on encoder decoder;Step four: the PhyTANet network obtained by step three is trained, fine-tuned;From the above steps, finally, after training fine-tuning ends, the dielectric constant and conductivity distribution of any given underground medium are input, and the corresponding prediction result is obtained.The purpose of the present application is to solve the technical problems of the existing ground penetrating radar forward technology, such as insufficient accuracy, insufficient modeling of key physical parameter coupling relationship and limited time domain feature expression in complex heterogeneous medium, and the present application is proposed.

The invention discloses a three-dimensional grid robust watermarking method and system based on spherical coordinate statistical characteristics, and the method comprises a watermark embedding stage and a watermark extraction stage, in the watermark embedding stage, three-dimensional grid vertexes are converted to a spherical coordinate space, a stable equivalent binning structure is constructed, and statistical characteristics are extracted, so that the three-dimensional grid robust watermarking is realized. And frequency domain transformation is carried out. In combination with a quantization domain binary mapping mode of quantization index modulation, watermark information is embedded into a frequency domain coefficient, and then a three-dimensional model carrying a watermark is generated through inverse transformation and coordinate reduction. The system comprises a coordinate conversion module, a binning module, a feature extraction module, a frequency domain transformation module, a watermark embedding module, an inverse transformation module, a vertex updating module and a model output module. The method provided by the invention has a large capacity up to 256 bits, and has significant robustness under rotation, scaling, translation, smoothing, simplification, vertex reordering and noise attack. The method can be widely applied to the technical field of three-dimensional data processing.

The invention relates to the technical field of material bonding characteristic testing, in particular to a composite heterogeneous charging structure and a heterogeneous interface peel strength testing method thereof. The composite heterogeneous charging structure comprises a press-fitting structure and a pouring structure, a bonding interface is arranged between the press-fitting structure and the pouring structure, and the bonding interface is formed in the pouring and curing process of the pouring structure. The low bonding strength and peel strength testing method provided by the invention is suitable for accurate characterization of weak interface bonding performance of fragile materials, energetic materials and the like. According to the method, a traditional mechanical testing method is improved, a universal material testing machine is used for carrying out peel strength testing, and quantitative evaluation and failure mode analysis of the bonding strength of the heterogeneous interface are achieved. The method solves the problem that the conventional method is difficult to accurately measure the bonding characteristic determination and brittleness failure behavior of the low-bonding-strength interface, and can be widely applied to the fields of safety evaluation, reliability test and the like of energetic materials.

The invention discloses a ship identification method and system based on dual physical model fusion verification, and relates to the technical field of optical fiber sensing and ocean monitoring. The method aims at solving the problems that ship noise in submarine optical cable DAS signals is prone to interference of environment noise such as low-speed guided waves, the false alarm rate is high, and accurate positioning cannot be achieved. The method comprises the steps that DAS phase data is acquired and preprocessed to generate a channel-time energy diagram; suppressing low-speed guided wave noise through frequency-wavenumber domain slowness scanning, detecting an energy ridge line on the purified energy diagram, and calculating an observation apparent velocity; acquiring AIS data to calculate and predict the apparent velocity; the relative error of the observed apparent velocity and the predicted apparent velocity is firstly matched, and then linear regression is carried out on the arrival time of the candidate ridge line and the AIS distance to verify and fit the root mean square error; the validated ridge line is confirmed as an effective ship event and a directory is generated. According to the technical scheme, through physical mechanism denoising and dual model verification, the accuracy and reliability of ship identification are effectively improved.

The present application relates to the technical field of wireless passive sensing, and discloses a differential sensing system for metal crack detection and a quantitative detection method thereof, which comprises an RFID reader-writer and a passive RFID differential sensing tag; the passive RFID differential sensing tag comprises a communication antenna, an RFID chip, an impedance matching network, a planar inductive sensing module, a radio frequency switching module, an energy recovery module and a data processing unit; the impedance matching network is connected between the communication antenna and the RFID chip; the planar inductive sensing module comprises a reference planar inductor and a sensing planar inductor; after double-state alternate sampling of the reference sensing, difference is performed, so that environmental disturbances such as reading and writing distance, sensor posture, multipath and temperature drift are significantly suppressed, and differential noise suppression is realized; the switching module is powered by the energy collection antenna, voltage doubling rectification and charge management module in the energy collection management module, battery maintenance is avoided, and passive operation is realized.

This invention belongs to the field of airworthiness testing for aero-engines and provides a high-speed imaging device for aero-engines that simulates birds swallowing flocks, based on a multi-splitter flexible imaging fiber bundle. This device is used to simultaneously observe the flight trajectories of multiple simulated birds between the air cannon and the engine inlet. It includes a first multi-splitter flexible imaging fiber bundle, with multiple first split ends each equipped with a first fiber optic lens aligned with the flight path of each simulated bird. A first high-speed imaging component is optically coupled to a first convergence end, simultaneously recording the dynamic images of all paths in a single frame. Each split end is positioned in the free space to the side of the flight path, without penetrating the engine casing. Furthermore, both the convergence and split ends of the fiber bundle have rectangular end faces, with aspect ratios matching the high-speed camera's image sensor, avoiding invalid imaging areas. This invention achieves high-speed imaging of multiple targets, high synchronization, and high space utilization in bird-swallowing tests, and has the advantages of compact structure and strong anti-interference capability.

The invention discloses a photoelectric sensor system conversion efficiency calibration system and method based on a reverberation chamber, and belongs to the technical field of photoelectric sensor conversion efficiency calibration, the system comprises an electric wave reverberation chamber, a transmitting antenna, a reference antenna and a photoelectric field sensor system; the photoelectric field sensor system is composed of a photoelectric sensor, a laser source, a photoelectric detector, a polarization maintaining optical fiber and a single-mode optical fiber. In the calibration process, the reference antenna and the photoelectric sensor system are used as receiving ends respectively, receiving power at different stirring positions in the reverberation chamber is sampled to obtain two groups of transfer functions, and the total efficiency of the photoelectric sensor system is determined by comparing the two groups of transfer functions under the condition that the radiation efficiency of the reference antenna is known. The conversion efficiency of the photoelectric sensor system is obtained by combining the relation among the power, the field intensity and the total efficiency in the free space; and the effective averaging of the incident direction and the polarization state is realized by using the uniform and isotropic electromagnetic field characteristics of the reverberation chamber.

The invention discloses a magnetic levitation track irregularity random evolution modeling method, a medium and equipment, and belongs to the field of track engineering and stochastic dynamics modeling. The method comprises the following steps: acquiring irregularity data of a maglev track collected along a line direction, and acquiring track structure parameters and vehicle load statistical characteristics of a corresponding line; the track irregularity state increment between adjacent sampling points is calculated, a state variable set is constructed based on the track irregularity quantity, the track structure parameters and the vehicle load statistical characteristics, state intervals are divided according to the value range of the state variable set, and the condition statistical magnitude of the state increment is counted in each interval; and identifying drift term and diffusion term functions in a stochastic differential equation by using conditional statistical information through statistical inversion, machine learning or a fusion mode thereof, and constructing an orbit irregularity stochastic evolution model. The method can reflect the non-stationary and state related characteristics of the track irregularity under the action of the track structure and the vehicle load, and can be used for track state evaluation, dynamic simulation and maintenance decision.

The application belongs to the technical field of tunnel and underground engineering disaster prevention and control, and particularly relates to a cement-polyurethane composite grouting material suitable for dense soft rock reinforcement and a preparation method thereof. The composite grouting material is mainly formed by mixing a penetration cross-linking liquid and a grout vein skeleton liquid. The penetration cross-linking liquid is formed by mixing a grouting material A component and a grouting material B component. A semi-prepolymer is obtained by pre-polymerization reaction of a polyisocyanate and a polyether polyol, and then a diluent and a catalyst are added to the semi-prepolymer to obtain the grouting material A component; a surfactant, a retarder and water are mixed to obtain the grouting material B component; and cement and water are uniformly mixed in a certain proportion to obtain the grout vein skeleton liquid. The cement-polyurethane composite grouting material and the preparation method thereof can achieve penetration-splitting composite reinforcement effect when grouting in a dense soft rock poor geological section with strong density and poor permeability, and the grout preparation process and grouting operation steps are more simple and efficient.

The application relates to a differential current-voltage integrated sensor and a current-voltage measurement system, and belongs to the technical field of power system monitoring. The application comprises a first half-ring unit and a second half-ring unit based on a double-layer PCB. The two half-ring units are designed in an upper-lower symmetry mode to form an open-close structure. A live bus bar passes through the middle cavity of the two half-ring units, and a Rogowski coil electronic current sensor and a differential D-dot voltage sensor are integrated on the integrated sensor. Based on the integrated sensor, synchronous measurement of current and voltage can be realized, the integrated sensor is highly integrated, the space utilization is extremely optimized, and the integrated sensor has a convenient opening and closing function.

This invention discloses a single-phase and three-phase combined electromagnetic in-phase power supply system and control method, relating to the field of electrified railway traction power supply technology. It includes a single-phase traction transformer, a three-phase-to-two-phase traction transformer, an electromagnetic in-phase compensation device, and a system main controller. During operation, the single-phase traction transformer undertakes the main traction power supply task, while the three-phase-to-two-phase traction transformer and the electromagnetic in-phase compensation device undertake auxiliary traction power supply and negative sequence management tasks. Each unit performs energy management and coordinated control through the main controller. This invention can transform existing traction substations using conventional three-phase-to-two-phase transformers into in-phase traction power supply systems, eliminating phase separation at the traction substation outlet, enabling the traction substation to provide in-phase power to the traction network while meeting grid-connected power quality requirements. The electromagnetic structure boasts high operational reliability and strong engineering applicability, and can be adapted to the retrofitting of existing electrified railway in-phase power supply lines and the integration of new energy sources along the traction side.

The present application relates to steel and non-ferrous smelting slag comprehensive recovery and iron-making resource utilization comprehensive utilization technical field, disclose a kind of copper slag efficient iron-making method based on magnetic separation pretreatment, comprising: to molten iron-silicate base waste slag input by calcium carbide, sodium fluoride and phosphorus component consisting of conditioning agent, using sodium fluoride to build liquid diffusion field exposure reduction interface, induce calcium carbide and iron silicate in situ reduction to generate metal iron core;Heat treatment promotes iron core polymerization growth;Gradient cooling, using phosphorus component induces silicate matrix crystal transformation to generate expansion stress and break matrix;Grinding powder and weak magnetic separation, extract magnetic enrichment product, the present application breaks iron-oxygen-silicon chemical bond, realizes the conversion of combined state iron to independent metal state, achieves iron and gangue phase decoupling, using endogenous stress induction self-pulverization, reduce grinding energy consumption, output high-grade iron powder and simultaneously remove sulfur zinc impurities.

The invention discloses a wind power frequency modulation parameter optimization method considering frequency modulation performance and energy loss. The method comprises the following steps: constructing a power system frequency response model aggregating a single-machine synchronous unit and a wind turbine generator, and constructing a double-index fitting model of a fan rotating speed recovery process and a corresponding energy loss quantification model based on a rotor motion equation; deriving an analytic relationship between the technical index and the energy loss index of the wind power frequency modulation parameter pair; determining the internal weight of the technical index and the weight between the technical index and the energy loss index by adopting a combined weight method, and constructing a comprehensive evaluation index comprising the technical index and the energy loss index; establishing a dual-objective optimization model taking minimization of a technical index and minimization of an energy loss index as a core, and outputting a group of Pareto leading edge optimal solution sets; and according to the calculated relative closeness of each candidate scheme, selecting a solution with the maximum relative closeness as a control parameter for setting the frequency modulation performance and energy loss of the wind turbine generator.

The invention discloses a rock-soil structure bearing path generation method based on plastic limit analysis. The rock-soil structure bearing path generation method comprises the steps that a design domain, external load applying conditions, geometric constraint conditions and boundary constraint conditions of a rock-soil structure are established; introducing a plastic constitutive relation, selecting a yield criterion, and establishing a yield constraint condition; analyzing the rock-soil structure model based on a plastic limit analysis theory; according to a plastic limit analysis result, identifying a main bearing path of the rock-soil structure in a limit bearing state; the rock-soil structure configuration is adjusted, the structural participation degree of a main bearing path area is enhanced, and the structural participation degree of a low-efficiency bearing area is weakened; after adjustment, the plastic limit analysis and bearing path identification process is repeatedly executed until the spatial distribution of the bearing path tends to be stable; and outputting the rock-soil structure configuration which meets the plastic yield constraint condition and is stable in bearing path. According to the method, the main bearing path of the rock-soil structure can be identified in the ultimate bearing state, and a reasonable structure configuration is determined accordingly.

The invention relates to a picometer-level surface shape measuring device for a large-aperture optical element. The picometer-level surface shape measuring device comprises a laser, a first polarization beam splitter, a first acousto-optic modulator, a second polarization beam splitter, a quarter-wave plate, a beam expander group, a local gating measuring surface unit, a 45-degree reflector, a second acousto-optic modulator, a non-polarization beam splitter and a photoelectric detector. The invention further provides a picometer-level surface shape measurement method for the large-aperture optical element, high-precision phase information is obtained based on the double-frequency heterodyne interference principle, regionalized scanning is achieved on the surface of the measured optical element through the local light gating module, and full-aperture high-resolution surface shape measurement can be completed without depending on a mechanical moving platform. The device has the advantages of high mechanical error resistance, high measurement precision, simple system structure and the like, and is suitable for surface shape detection of ultrahigh-precision optical elements.

This invention relates to an event-triggered model predictive obstacle avoidance control method and system, belonging to the field of navigation control technology for unmanned vehicles, automobiles, and robots. The method addresses constrained discrete-time systems by establishing a predictive model of the controlled object and constructing a model predictive control problem in the rolling time domain, encompassing state constraints, input constraints, terminal constraints, and obstacle avoidance constraints, thereby achieving attitude adjustment, trajectory tracking, and safe obstacle avoidance. This invention represents the controlled object's occupied region and the obstacle region as a unified convex set, constructing obstacle avoidance constraints based on minimum distance optimization and its dual transformation, avoiding direct handling of non-smooth distance determination and improving optimization efficiency. Control updates employ an event-triggered mechanism, determining whether to resolve the optimization problem based on the deviation between the actual and predicted states; otherwise, the existing control sequence continues execution. Furthermore, the prediction time domain is adaptively adjusted according to the operational phase, reducing the optimization frequency and computational scale while ensuring obstacle avoidance safety and control performance, thus improving the real-time performance and stability of navigation control under complex constraints.

This application provides a modeling method and system for predicting the core loss of a high-frequency transformer, comprising: measuring the magnetic properties of the core material at different frequencies based on an experimental platform, and obtaining the magnetization curve and loss density curve of the core material according to Ampere's circuital law; inputting the magnetization curve into a constructed geometric model, setting excitation and boundary conditions, establishing a finite element model and performing finite element simulation analysis to obtain the loss density distribution and magnetic flux density distribution within the high-frequency transformer core; and constructing a loss model by introducing a gradient coefficient and the average value of the loss density, the magnitude of the magnetic field strength gradient, and the average value of the magnitude of the magnetic field strength gradient obtained from the finite element model, to predict the core loss. This application provides important basis for material selection, geometric structure optimization, and thermal design of high-frequency transformers, helping to shorten the R&D cycle, reduce trial production costs, and improve the overall performance of high-frequency transformers.

The invention provides a method for determining the content of precious metal elements in an automobile purification catalyst, and belongs to the technical field of analysis and detection. According to the method, a composite melting system composed of sodium peroxide, anhydrous sodium metaborate and sodium tungstate is constructed, an automobile purification catalyst sample is subjected to efficient melting decomposition, complete leaching of a melt is achieved in combination with a hydrochloric acid and tartaric acid composite acidification system, a tin-tellurium coprecipitation enrichment technology is introduced on the basis, and the purity of the automobile purification catalyst sample is improved. Trace precious metal elements such as platinum, palladium and rhodium are selectively precipitated and effectively enriched, and matrix interference is remarkably reduced; and then adding an indium internal standard solution and carrying out quantitative determination by adopting inductively coupled plasma emission spectrometry, thereby realizing high-sensitivity and high-accuracy analysis of the noble metal element. The method effectively solves the problems of incomplete sample decomposition, low precious metal recovery rate, serious matrix interference, poor detection result stability and the like in the prior art.

The invention relates to the technical field of civil engineering nondestructive testing, in particular to a fast and slow longitudinal wave speed prediction method and system device considering concrete heterogeneity, and the method comprises the steps: S1, introducing alpha and epsilon parameters; the alpha parameter is a consolidation coefficient and is used for representing the overall rigidity of the mortar framework; the epsilon parameter is a contact coefficient and is used for representing the connection degree between the aggregate and the mortar framework; epsilon = 0 is non-contact, and Epsilon = 1 is complete bonding. S2, according to the alpha and epsilon parameters, theoretical modeling is carried out, and the speed of fast and slow waves is calculated; and S3, determining alpha and epsilon parameters through simulation or experiments. Compared with the prior art, the method has the advantages that structural modeling better conforms to the real form of concrete, the prediction precision is remarkably improved, fast waves and slow waves can be predicted at the same time, and the engineering applicability is high.

This invention relates to the field of data processing technology for predictive purposes, and discloses a method for adjusting the power generation performance of an energy system throughout its entire life cycle. The method determines the parameter boundaries of a wind-solar-storage power supply system, divides the entire life cycle planning period into multiple consecutive life stages, and determines the load demand input for the entire life cycle. It sets a baseline power generation performance at the initial commissioning stage, calculates the degradation maintenance level for each stage, establishes a monotonic mapping relationship between the degradation maintenance level and maintenance intensity, constructs a stage-dependent model for calculating available power generation capacity coupled with degradation and maintenance, and obtains available power supply capacity parameters for each stage of the entire life cycle. It generates a maintenance time series distribution through Monte Carlo simulation and constructs a set of life cycle power generation performance evolution scenarios. With the goal of minimizing the total cost throughout the entire life cycle, a mixed-integer linear programming model is constructed to obtain the optimal capacity configuration and adjust the power generation performance throughout the entire life cycle. This method solves the problems of ignoring degradation maintenance and inaccurate planning, achieving the goal of accurate and reliable life cycle data at a low cost.

The present application relates to a kind of ground potential discrete solving method for stray current space propagation analysis, including zoning profile according to the stratum space of study area, and in the region where current injection is strong, finer spatial division scale is used, in the part far from the region of interest, coarser division scale is used, to give consideration to calculation accuracy and solving efficiency;Stray current source is equivalently distributed to adjacent discrete unit node, and overall potential solving equation is established based on the conductive relationship between nodes;By numerically solving global discrete equation, the potential distribution and risk influence result of ground surface and the periphery of target facility are obtained.Compared with prior art, the present application can effectively reduce the calculation amount of large-scale space solving under the premise of maintaining high calculation accuracy, and is suitable for scenarios such as rail transit stray current intrusion, grounding grid potential analysis and transformer dc magnetic bias evaluation.

The invention discloses a threshold optimization method, system and equipment for an inerter control strategy and a medium. The method comprises the following steps: determining influence factors about control frequency in the inerter control strategy; according to the distribution condition of inertia force in the inerter control strategy, determining a key threshold value for intervening the change of the influence factor; performing simulation analysis on the influence rule of the key threshold value on the vibration damping performance of the suspension system, and determining the value range of the key threshold value according to a simulation analysis result; executing an inerter control strategy according to the key threshold value in the value range; through optimal control of the inertia force threshold value, useless inerter switching frequency in an inerter switch control strategy is reduced, high control frequency is avoided, loads of inerter and damping elements are reduced, the service life of the elements is prolonged, the stability of the elements is improved, the control effectiveness and the engineering applicability of the control strategy are improved, the defects in the prior art are overcome, and the method is suitable for popularization and application. And the method has a relatively high application value.

The invention provides an atmospheric parameter inversion method and system for a high-speed orbiter. The method comprises the following steps: acquiring pressure data of a plurality of measuring points arranged on the surface of the high-speed orbiter; inputting the pressure data into a pre-established mapping relation model to obtain and output corresponding atmospheric parameters; wherein the mapping relation model is a nonlinear model obtained by training by adopting a neural network fused with extended Kalman filtering according to the corresponding relation between the measuring point pressure data of the high-speed orbiter in the flight envelope and the atmospheric parameters. On the basis of the theoretical basis of the one-to-one correspondence single-valued mapping relation between the surface pressure data and the corresponding atmosphere data, the design method for inversing the atmosphere data based on surface pressure reverse modeling is provided, and the technical problem that the surrounding environment parameters of the high-speed orbiter cannot be obtained in real time through a traditional design method is solved; meanwhile, the attack angle and the sideslip angle of the orbiter are solved, and the technical problem of obtaining the high-precision attitude angle of the high-speed aircraft is solved; the applicability is high, and the calculation precision is high.

The invention discloses a method for determining the shale gas horizontal well sand-carrying critical gas volume, and belongs to the field of gas reservoir exploitation. According to the method, the liquid holdup and the pressure profile of a horizontal well along a wellbore are calculated by collecting production data, formation data and wellbore structure information of a target well and combining a wellbore liquid holdup model. And then, on the basis of the data, the local fluid flow velocity required by the sand-carrying critical gas flow velocity is calculated, and the fluid holdup under the sand-carrying critical condition is obtained through the relationship between the apparent fluid flow velocity and the real fluid flow velocity. And finally, calculating the sand-carrying critical gas flow velocity through iterative solution, and calculating the corresponding gas flow, namely the sand-carrying critical gas flow, according to the sand-carrying critical gas flow velocity. The method provided by the invention has the characteristics of clear mechanism, easily available parameters and efficient calculation, and can be effectively applied to accurate prediction of the sand-carrying gas volume of the shale gas well.

This invention relates to the field of sliding bearing simulation and optimization technology, and more specifically to a high-precision simulation and optimization design method for hydrostatic thrust sliding bearings. It establishes an efficient decoupling model of the fluid-solid-thermal three-physics field of the hydrostatic thrust sliding bearing, decomposing the overall thermodynamic field into two subfields, which are coupled with the fluid force field and the solid force field, respectively. Then, it constructs a gap oil film flow / thermal field model and a friction pair deformation solid / thermal field model, achieving equivalent coupling through data transfer. The oil film control equations are iteratively solved to obtain oil film pressure, temperature, and flow velocity; the friction pair equations, including elastic constitutive and thermal strain equations, are solved to obtain their elastic and thermal deformations, with bidirectional data transfer achieving coupled iteration. Based on the above method, simulations are performed, establishing sub-models of oil film flow and friction pair deformation, using local interpolation and dynamic meshing to process the interface; the oil cavity is optimized based on the simulation results, parametric analysis is used to establish the mapping between structural parameters and lubrication performance, the objective function and constraints are defined, and the optimal oil cavity structure is obtained through algorithms.

An experimental apparatus and method for evaluating the dynamic anti-icing performance of superhydrophobic materials are disclosed, relating to the field of superhydrophobic material anti-icing technology. The technical solution includes a test section containing a model. A substrate is connected to the outer surface of the model, and a heating film is placed between the substrate and the model. The beneficial effects of this technical solution are: by adding a heating film under the substrate, the initial freezing time in ultra-low temperature experiments is effectively delayed, ensuring that the test piece does not immediately freeze when the ultra-low temperature is activated, thus guaranteeing the accurate acquisition of the initial freezing time. Simultaneously, by combining a high-speed camera and a thermal imaging camera, the freezing process and degree can be visually observed, providing a visual basis for comprehensive evaluation. When the leading edge of the substrate freezes, the power of the heating film is increased to melt the ice layer, and the overflow water re-condenses into overflow ice away from the heating zone. By measuring the relative position of the overflow ice and the reference chord length, the surface lubrication performance of the material can be further evaluated.

The application discloses a terminal circuit with bandwidth expansion and impedance matching functions, and belongs to the technical field of basic electronic circuits. In view of the defects in the prior art, the terminal circuit is designed by adopting a simplified three-stage asymmetric T-coil technology, and the terminal circuit comprises a first pad capacitor, a second pad capacitor, a first impedance matching module, a first bandwidth expansion module based on a three-stage asymmetric T-coil structure, a second impedance matching module, a second bandwidth expansion module based on the three-stage asymmetric T-coil structure, a first terminal resistor, a second terminal resistor and a load circuit. The terminal circuit can greatly enhance the bandwidth expansion capability, uses a small number of inductors and capacitors, has a good impedance matching effect, and realizes a great reduction of area overhead. Meanwhile, the application has high engineering applicability, is suitable for engineering product design, can be widely used in the design of a SerDes analog front end, can greatly improve the performance index of the analog front end, and simultaneously reduces comprehensive overhead.

This invention proposes an acoustic black hole metamaterial and its design method that combines load-bearing and vibration suppression. It is composed of multiple periodically arranged unit cells interconnected. Each unit cell integrates six three-dimensional acoustic black hole units formed by rotating a power-law thickness-gradient structure. Through the synergistic effect of the three-dimensional acoustic black hole units and lattice topology design, a significant elastic wave bandgap is achieved in an ultra-wide frequency range, effectively suppressing structural vibration while maintaining excellent static load-bearing capacity. This invention overcomes the inherent contradiction between vibration reduction performance and load-bearing capacity. While achieving lightweight miniaturization, it has advantages such as simple manufacturing process, compact structure, and easy integration, making it suitable for fields with high requirements for load-bearing and vibration suppression.

The invention provides a high-efficiency hyperspectral remote sensing image generation method based on spatial spectrum information self-selection. The method mainly comprises the following three core steps: 1, multi-level self-selection spatial feature coding; 2, multi-scale semantic fusion based on mixed pooling; and 3, spatial prior guidance and waveband relevance modeling. Starting from the characteristics of a hyperspectral remote sensing image generation task, a generation framework guided from spatial characteristics to spectral information driving is constructed, and a spatial-spectral information self-selection mechanism and a lightweight calculation strategy are introduced, so that the model can adaptively and dynamically pay attention to important spatial regions and spectral bands. The problems of insufficient physical consistency, redundant feature information, high video memory occupation and the like of a current hyperspectral remote sensing image generation method are effectively relieved, and the method has the advantages of high reconstruction precision, low calculation complexity, high training reasoning speed and the like; and high-quality hyperspectral remote sensing image data support can be provided for remote sensing downstream tasks such as image classification and change detection.

The invention discloses an improved MPC adaptive time delay compensation method based on unscented Kalman filtering, belongs to the technical field of structural anti-seismic tests, and is used for solving the problems of time delay, multi-actuator coupling and noise interference in a multi-axis real-time mixing test. The method comprises the steps that system parameters and UKF initial values are calibrated in an off-line mode; seismic excitation is input into the numerical value substructure, and the expected displacement of the actuator is obtained through coordinate transformation; uKF optimal state estimation is used as an initial condition, and MPC rolling optimization is adopted to solve a control instruction; loading the physical substructure and acquiring actually measured displacement and counter force; inputting measured data into the UKF for nonlinear filtering, and outputting updated state estimation; and finally, state estimation and actually measured counter force are fed back to the numerical substructure, the expected displacement is updated, the steps are repeated, and closed-loop self-adaptive compensation is formed. The precision and robustness of multi-axis loading control can be effectively improved, and the method is suitable for complex structure anti-seismic tests in the field of civil engineering.