431results about How to "Improve long-term stability" patented technology

The invention relates to the technical field of industrial vision and artificial intelligence, and discloses an aluminum coating formula prediction method and system based on industrial vision and double-model fusion. The method comprises the following steps: acquiring visible light and near-infrared band images of the surface of an aluminum material coating through multispectral image acquisition, identifying a defect area to generate a binary mask, extracting three types of features of color, texture and spectral reflection, and respectively inputting feature vectors into a random forest regression model and a convolutional neural network model to obtain a target image; and dynamically calculating a fusion weight according to the verification set error, and carrying out weighted fusion on the prediction results of the two models to generate a formula component content prediction value. According to the method, the technical problems of low precision, low efficiency and insufficient generalization ability of a traditional aluminum coating formula determination method are solved, and rapid and accurate prediction of the formula is realized.

The invention belongs to the technical field of flexible transparent film electrodes, and particularly relates to a flexible indium tin oxide film electrode, a preparation method and a flexible solar cell. According to the flexible indium tin oxide thin film electrode provided by the invention, after the processes of pre-treating substrates such as PET, covering an acrylic resin hard coating, depositing a SiO2 transition layer and the like, the adhesive force of the indium tin oxide conductive thin film is improved through the indium tin oxide conductive thin film deposited through alternate radio frequency magnetron sputtering and direct current pulse magnetron sputtering; the bottom layer deposited by radio frequency magnetron sputtering is used for providing an interface seed layer for the fluorine-doped indium tin oxide conductive thin film layer deposited by direct current pulse magnetron sputtering and having high carrier concentration and low resistance, and the top layer is used for providing protection, so that the conductivity, environmental stability and other properties of the flexible indium tin oxide thin film electrode are improved; the conductive performance is not easy to attenuate, the long-term use stability is good, and the technical problem that in the prior art, a flexible transparent film electrode is low in performance is solved.

The invention discloses a matrix type temperature detection system and method based on temperature-sensitive diodes, the problems of complex wiring and large temperature drift of a traditional multi-node temperature measurement system are solved through M * N matrix layout, row and column time-sharing gating and constant current driving technologies, the system adopts an independent column constant current source to ensure the measurement consistency, and a high-precision ADC and a dynamic calibration algorithm are combined, so that the measurement accuracy is improved. And the precision of + / -0.2 DEG C is realized within the range of 50-150 DEG C. The method is particularly suitable for high-density temperature measurement scenes such as battery thermal management, electronic equipment overheating monitoring and the like.

The invention provides a pipeline welding real-time feedback control method and system based on machine vision. According to the method, multi-modal data such as a three-dimensional point cloud, a temperature field and a welding seam image are synchronously collected, and key characteristics such as a pose deviation gradient, a cooling rate curve and a welding seam size sequence are extracted after time sequence alignment, filtering and correction fusion. And a CNN and LSTM mixed adaptive deep learning model is utilized to analyze the welding quality state in real time, and sub-optimal parameters are dynamically optimized based on a reinforcement learning strategy, or a three-level response mechanism including heat reduction input, expert knowledge base matching and precise repair is triggered to process defect early warning. The system has an incremental learning capability and can be self-optimized along with a control period. The full-flow intelligent monitoring, real-time feedback and self-adaptive accurate control of the welding process are achieved, and the welding quality and the automation level are remarkably improved.

The invention discloses heat-resistant modified epoxy resin and a preparation method thereof, and belongs to the technical field of high polymer materials. The heat-resistant modified epoxy resin is prepared from the following components in parts by mass: 45 to 55 parts of matrix epoxy resin, 10 to 20 parts of methyl phenyl silicone resin, 8 to 12 parts of nano silicon dioxide, 0.8 to 2.0 parts of a silane coupling agent, 6 to 10 parts of a curing agent, 0.3 to 0.8 part of an accelerant, 15 to 30 parts of silica fume powder and 0.5 to 1.2 parts of an antioxidant. By introducing components such as methyl phenyl silicone resin and nano silicon dioxide with a specific particle size, and combining the synergistic effect of the silane coupling agent, the heat resistance of the epoxy resin is effectively improved; the antioxidant with a specific structure is used, and the performance retention rate of the modified epoxy resin under a thermo-oxidative aging condition is remarkably improved, so that the service life of the material is prolonged, and the long-term stability of the material in a high-temperature environment is enhanced.

The application belongs to the technical field of polymer materials, and particularly relates to a high-performance fiber composite material and a preparation method thereof. The preparation method of the high-performance fiber composite material comprises the following steps: adding pretreated aluminum oxide whiskers into a solvent, then adding pretreated carboxymethyl cellulose and gallic acid, and heating to reflux to obtain modified aluminum oxide whiskers; then mixing epoxy resin, the modified aluminum oxide whiskers, a curing agent and an accelerator uniformly to coat a film to obtain a resin adhesive film; and compounding the resin adhesive film and carbon fibers through hot pressing to obtain carbon fiber prepreg, and heating and curing the obtained prepreg to obtain the high-performance fiber composite material. The fiber composite material obtained by the application not only has high strength and rigidity, but also has excellent toughness, can effectively resist the impact of the external environment, has oxidation resistance and long-term stability, and has a wide application prospect in the fields of aerospace and new energy equipment.

The invention discloses an intermediate-frequency surface shape white light interference splicing measurement method based on polynomial filtering. The method comprises the following steps: carrying out white light interference splicing measurement on an X-ray plane mirror to obtain a group of interference measurement surface shape results with overlapped adjacent sub-aperture space positions; fitting the surface shape result of each sub-aperture by using a Legendre polynomial to obtain a polynomial coefficient under a preset order; fitting according to a polynomial coefficient to generate a fitting surface shape of a corresponding order, and subtracting the fitting surface shapes of all orders from the measurement result to obtain a group of surface shape results subjected to Legendre polynomial filtering; and splicing the filtered shape results according to a least square algorithm to obtain a final measurement result. The method aims at meeting the splicing measurement of sub-nanometer PV precision required by the intermediate-frequency surface shape error detection of the X-ray plane mirror, the least square optimization splicing method is used, the method is not limited by the low-frequency characteristic of the measurement error of the white light interferometer, and the precision and flexibility of the splicing measurement are improved.

The present disclosure provides a composite pre-lithium thin film and a preparation method thereof and related applications. The composite pre-lithium thin film comprises a loading layer having a first surface and a second surface opposite to the first surface, and the material of the loading layer comprises multi-walled carbon nanotubes; a lithium pouring layer arranged on the first surface of the loading layer; and a resistance buffer layer arranged on the second surface of the loading layer, and the material of the resistance buffer layer comprises single-walled carbon nanotubes and polyvinyl butyl, wherein the mass percentage of the single-walled carbon nanotubes is 0-80 wt.%. The scheme provided by the present disclosure can effectively improve the cycle performance and rate performance of lithium ion batteries, and solve the problems of uncontrollable pre-lithiation rate and easy breaking of lithium metal strips.

The invention provides an integrated temperature control fiber-optic gyroscope chip, method and system. The fiber-optic gyroscope chip integrated with temperature control comprises a signal transceiving unit, a gyroscope modulation unit, an optical signal processing unit, an optical fiber coil interface unit and an on-chip temperature-sensitive micro-ring resonant cavity, and the signal transceiving unit is used for forming an optical signal according to a light source; the on-chip temperature-sensitive micro-ring resonant cavity is used for forming a first transmission spectrum according to the optical signal; the gyro modulation unit is used for generating a modulation electric field in response to the modulation driving signal so as to perform phase modulation on the optical signal; the optical signal processing unit is used for performing polarization and beam splitting on the modulated optical signal to form a first path of optical signal and a second path of optical signal; and the optical fiber coil interface unit is used for transmitting the first path of optical signal and the second path of optical signal to a polarization maintaining optical fiber coil to form a gyroscope interference optical signal and outputting the gyroscope interference optical signal, so that a gyroscope detector obtains a compensated gyroscope output result according to the gyroscope interference optical signal.

The invention discloses a platinum-based high-entropy alloy self-supporting catalyst as well as a preparation method and application thereof. The preparation method of the catalyst comprises the following steps: S1, dissolving a platinum source, an iron source, a cobalt source, a molybdenum source and a manganese source in a solvent according to the molar ratio of platinum to iron to molybdenum to cobalt to manganese being 1: 1: 1: 1: 1 to obtain a precursor solution; s2, dipping the carbon felt in a polyvinyl alcohol solution, and drying to obtain a substrate; and S3, dipping the substrate in the precursor solution, drying, and carrying out Joule heat flash evaporation to obtain the catalyst. According to the invention, five metals are added according to an equal molar ratio, the catalytic efficiency of the water electrolysis catalyst is improved by utilizing a high-entropy effect, the production cost of the catalyst is reduced, meanwhile, the long-time stability of the catalyst is improved by adding a self-supporting material, and an efficient and stable water electrolysis process in an acidic electrolysis environment is realized.

The invention provides a surface-modified perovskite nanocrystal and a preparation method and application thereof, and the surface-modified perovskite nanocrystal comprises: a perovskite nanocrystal having a chemical composition of ABX3; wherein A is selected from at least one of Cs < + >, CH3NH3 < + > and HC (NH2) 2 < + >; b is selected from at least one of Pb < 2 + >, Sn < 2 + >, Ge < 2 + > and Mn < 2 + >; x is selected from halogen anions; the surface of the perovskite nanocrystal is coated with an organic ligand layer; the organic ligand comprises a halogenated organic ligand. In the surface modified perovskite nanocrystal, the surface of the perovskite nanocrystal is coated with the organic ligand layer, so that surface defects can be effectively passivated at the same time, and the surface integrity and the crystallization quality of the nanocrystal are remarkably improved. And due to the surface consistency, the defect state density is reduced, and the exciton and phonon coupling coefficient is reduced, so that a non-radiative composite channel is remarkably inhibited, and the optical performance of the perovskite nanocrystal is remarkably improved.

This invention relates to an air electrode material and its preparation method. The preparation method includes: using metal salts of Ce, Pr, La, Ba, and Sr, metal salts of Co, and a fluorine source as raw materials, and preparing a fluorine-containing perovskite precursor according to a stoichiometric ratio; pretreating the precursor and then sintering it to obtain a composite powder; the composite powder includes a fluorine-containing perovskite main phase and a fluorine-containing CeO2 nanophase; pulverizing and sieving the composite powder to obtain air electrode powder; the fluorine-containing perovskite main phase is an A-site high-entropy perovskite oxide; the fluorine-containing CeO2 nanophase is precipitated through the self-assembly of some Ce elements during sintering; the fluorine-containing CeO2 nanophase is dispersed inside the main phase grains or at grain boundaries, and forms a strongly coupled heterogeneous interface with the main phase. This invention solves the technical problems of poor surface exchange activity, bulk diffusion transport, and long-term stability of existing air electrodes.

This invention relates to an insulating oil and an oil-paper insulation system containing superhydrophobic nanoparticles, as well as their preparation method and application, belonging to the field of electrical equipment insulation technology. This invention provides an insulating oil containing superhydrophobic nanoparticles, wherein the superhydrophobic nanoparticles are silane-modified nanoparticles, and the nanoparticles include at least one of SiO2, TiO2, and h-BN; the insulating oil includes at least one of mineral insulating oil, synthetic insulating oil, and natural ester insulating oil. This invention achieves the superhydrophobicity of the nanoparticles and good compatibility with the oil phase through silane modification. Adding silane-modified nanoparticles to the insulating oil effectively reduces the water content of the insulating oil and optimizes the interfacial performance of the oil-paper. Combined with the low-temperature, high-efficiency, and uniform rapid impregnation process of this invention, the overall electrical performance and service life of the oil-paper insulation system are significantly improved.

The application discloses a wet oxidation catalyst, which comprises the following raw materials in percentage by weight: 0.1-2% noble metal, 1-10% graphene-based material, and the rest is a carrier, wherein the carrier is modified titanium dioxide, specifically, a rare earth-transition metal-oxygen vacancy-mesoporous three-dimensional gradient titanium dioxide carrier. The application aims at solving the technical problem of poor stability of the catalyst.

The application provides an antibacterial neural electrode based on a high-surface-potential zirconium oxide layer and a preparation method thereof. The electrode comprises, from bottom to top, a bottom zirconium oxide film layer, a first insulating layer, a metal layer, a second insulating layer, a top zirconium oxide film layer and an electrode modification layer. A distal end of the metal layer is partially exposed to form an electrode point, and the electrode modification layer covers the electrode point. The bottom zirconium oxide film layer and the top zirconium oxide film layer are subjected to high-surface-potential treatment and exhibit a positive surface potential in a physiological environment. The positive surface potential can destroy the cell membranes of bacteria with negative charges through electrostatic action after the neural electrode is implanted in vivo, and inhibit the formation of microglial cells and astrocytes. The damage to the membranes of mammalian cells (such as neurons) with neutral electricity is extremely small. The application realizes active antibacterial function through the high-surface-potential zirconium oxide film layer, ensures long-term effective contact between the electrode and neurons, and thus realizes high-quality, long-term stable electrophysiological recording and stimulation function of the neural electrode.

The invention discloses a coherent optical frequency signal regeneration amplification system based on optical fiber transmission. The coherent optical frequency signal regeneration amplification system comprises a local narrow linewidth laser which outputs narrow linewidth laser; the first optical fiber coupler couples the narrow linewidth laser to the first acoustic optical modulator and the second acoustic optical modulator respectively; the output of the first acousto-optic modulator and superior transmission light are jointly coupled into a photoelectric detector by a second optical fiber coupler to generate a beat frequency signal; the signal processing module samples the beat frequency signal after conditioning the beat frequency signal, performs phase discrimination on the sampled signal and the digital reference signal to generate an error signal, and generates a first feedback signal and a second feedback signal according to the error signal to be respectively used by the local narrow linewidth laser and the first acousto-optic modulator; performing real-time cycle slip detection on the error signal and repairing a phase abnormal point to generate a third feedback signal to be used by a second acousto-optic modulator; and the second acousto-optic modulator outputs amplified regenerated laser. According to the invention, high-precision optical frequency signal transmission can be realized in a complex and changeable optical fiber environment with large noise.

The invention discloses a polypropylene film suitable for a film lamination method and a preparation method of the polypropylene film. The polypropylene film comprises the following components in parts by weight: 85.6-91.85 parts of polypropylene; 4-7 parts of long-chain branched polypropylene; 4-7 parts of a compatibilizer; 0.05 to 0.1 part of a nucleating agent; and 0.1 to 0.3 part of an antioxidant. Firstly, polypropylene is selected, so that the wettability of a melt to carbon fibers is effectively improved, and the filling defect caused by high viscosity of a traditional material is overcome; and secondly, the compatibilizer is introduced to form firm chemical bonding with the fiber surface, so that the interface bonding strength is greatly enhanced. And finally, by combining a precise extrusion and casting process, the prepared polypropylene film is uniform in thickness, excellent in interface performance and suitable for a film lamination method.

The application belongs to the technical field of sand consolidation agent preparation, and particularly relates to a sand consolidation agent and a preparation method thereof. The sand consolidation agent is composed of component A and component B. The component A is composed of the following raw materials: a diphenyl phenolic epoxy resin, hexakis(4-hydroxymethylphenoxy)cyclotriphosphazene, modified nano calcium zirconate, cage octakis(aminophenyl)silsesquioxane, n-butyl glycidyl ether, KH-550 silane coupling agent, polyether amine, fumed silica and defoaming agent. The component B is composed of the following raw materials: polyborosilazane and 2-ethyl-4-methyl imidazole. The cage octakis(aminophenyl)silsesquioxane in the raw material of the sand consolidation agent strengthens the network structure stability through chemical bonding, the hexakis(4-hydroxymethylphenoxy)cyclotriphosphazene realizes thermal stabilization through chemical bonding and physical dispersion, and the modified nano calcium zirconate provides physical support. The three components synergistically improve the heat resistance of the system.

The invention provides a dual-core hemispherical inertial navigation voltage sensitivity coefficient online identification and self-calibration method, which comprises the following steps: respectively constructing equivalent virtual angular rate excitation under electrostatic driving for each hemispherical resonator gyroscope, and determining a driving voltage for calibration; excitation is applied to the two coaxial hemispherical resonator gyroscopes according to a preset rule, and the output angular velocity and the standing wave azimuth angle are collected; establishing a difference observation model; establishing a Kalman filtering equation based on the difference observation model, wherein the Kalman filtering equation comprises an observation matrix, observed quantity and state quantity; kalman filtering is carried out on angular velocities and standing wave azimuth angles output by the two coaxial hemispherical resonator gyroscopes based on the established Kalman filtering equation, and a voltage sensitivity coefficient and a zero offset coefficient are solved. And writing the calculated voltage sensitivity coefficient and zero offset coefficient into a calibration register of the corresponding hemispherical resonator gyroscope. According to the technical scheme, the technical problem that in the prior art, a single gyroscope is prone to external interference, and consequently calibration precision is poor is solved.

This invention discloses a ruthenium-based catalyst based on a Ta₂O₅ support, its preparation method, and its applications, belonging to the field of electrode materials technology. The invention employs a process combining hydrothermal loading and high-temperature calcination, using water as the reaction solvent and tantalum pentoxide as the support for ruthenium, applying it to the hydrogen evolution reaction in seawater electrolysis. This catalyst utilizes Lewis acid sites on the Ta₂O₅ surface to promote the dissociation of water molecules, providing a continuous proton supply for the hydrogen evolution reaction, thereby enhancing both catalytic activity and long-term stability in seawater systems. The method employed in this invention is simple and the structure is controllable, demonstrating excellent application potential in seawater electrolysis and possessing significant research and engineering value for promoting the practical application of ruthenium-based catalysts.

The invention relates to the field of phased radars, and discloses an active phased array radar calibration method, which is used for improving the accuracy of actually measured phase data. Comprising the following steps: calculating theoretical excitation phases of radiation units according to an antenna array physical geometric structure and a target beam directional angle; enabling the antenna to sequentially excite the radiation units and collect coupling signals in a single-channel mode, and performing analysis to obtain an actually measured amplitude, a phase and a phase deviation; synthesizing the theoretical excitation phase and the phase deviation to generate an actual emission phase, and constructing a phase compensation lookup table; and after compensation by using the lookup table, measuring the actual directional diagram, and if not, performing fine adjustment. The calibration precision and reliability are improved, and the high-precision detection requirement of the active phased array radar can be met.

The application belongs to the field of medical materials, and particularly relates to a metal core enhanced double-barrier piezoelectric nano system and a preparation method and application thereof. The preparation method comprises the following steps: first, a core-shell structure of'metal@mesoporous titanium dioxide@mesoporous barium titanate' is prepared through a step-by-step reaction, and then the target nanoparticles are obtained through lipid wrapping. The system innovatively constructs a double-barrier structure, can self-trigger active oxygen under a physiological pressure of 4 mmHg, realizes endogenous pressure self-driven treatment of malignant ascites, has the advantages of low pressure, high catalytic efficiency, long-term structural stability and good biocompatibility, solves the problems that existing treatment methods are highly invasive and depend on exogenous stimulation, and provides a new safe and efficient technical scheme for the treatment of malignant ascites.

The invention relates to the technical field of temperature monitoring, and particularly discloses a temperature monitoring device for heat supply monitoring, which comprises a mounting bracket; a temperature monitoring unit; monitoring the driving unit; a dehumidification unit; an air drying unit; and a gas supply unit. When the temperature monitoring piece extends out of the protected housing, the temperature monitoring piece is sequentially subjected to primary dehumidification through rotation of the dehumidification unit and secondary air drying through directional airflow of the air drying unit, condensed water drops possibly generated on the surface of the probe due to environment temperature difference can be actively and effectively removed, and interference of the water drops on temperature sensing is fundamentally avoided; it is ensured that high-precision temperature data can be obtained through each time of extension monitoring; in a non-monitoring period, the temperature monitoring piece retracts into the housing, so that the contact time of the temperature monitoring piece and humid air in a pipe network is greatly shortened, and the water vapor condensation risk is greatly reduced; the drying treatment is completed at the extension moment in the monitoring period, so that the adaptability and long-term stability of equipment in a severe and humid environment are improved, and the device is particularly suitable for being applied to key nodes of a heat supply pipe network needing frequent or timed monitoring.

The invention provides a composite material, a preparation method thereof and conductive slurry, and belongs to the technical field of conductive materials. The preparation method comprises the steps that a base material is pretreated, an activated base material is obtained, and the base material comprises copper powder or nickel powder; and an atomic layer deposition technology is adopted, a coating layer is deposited on the surface of the activated base material, the composite material is obtained, and the coating layer comprises a silver layer. The composite material prepared by the invention has the characteristics of uniform and compact coating, controllable thickness, strong interface bonding force, strong oxidation resistance, stable performance and the like, and the performance of the conductive slurry can be remarkably improved.

This invention relates to a titanium alloy artificial joint with a high-toughness, ultra-wear-resistant ceramic coating and its preparation method. The titanium alloy artificial joint includes a titanium alloy artificial joint substrate fabricated by 3D printing. The joint surface of the titanium alloy artificial joint substrate is coated with an alumina-based ceramic coating. The alumina-based ceramic coating is obtained by plasma spraying of a mixed powder of alumina, zirconium oxide, and rare earth oxides, and then polished to a surface roughness Ra of no more than 0.05 μm. The bone-bonding surface of the titanium alloy artificial joint is formed into a porous structure layer by 3D printing. Compared with the prior art, the titanium alloy artificial joint of this invention has excellent wear resistance and toughness, and can be personalized based on precise imaging data of the patient's bones.

The invention belongs to the technical field of flexible piezoelectric sensors, and relates to a carbon felt-hydrogel composite piezoelectric sensor and a preparation method thereof. The sensor comprises a piezoelectric sensing layer, a cross-scale dual-network hydrogel layer, an electrode layer, a leading-out wire and a packaging layer, the two cross-scale dual-network hydrogel layers are arranged on the upper side and the lower side of the piezoelectric sensing layer in a stacked mode to form a sandwich structure. The cross-scale dual-network hydrogel layer is an elastic hydrogel material formed by compounding a carbon fiber felt skeleton and a molecular-level network polymer, and the molecular-level network polymer penetrates through the interior and the surface of the carbon fiber felt skeleton and is formed by cross-linking and curing; the number of the electrode layers is two, and the two electrode layers are arranged on the outer sides of the two cross-scale dual-network hydrogel layers in a stacked mode respectively. The lead-out wire is electrically connected with the electrode layer; the packaging layer wraps the outer side of the electrode layer. According to the sensor, the mechanical property, the conductivity and the stability of the flexible piezoelectric sensor can be improved.

This invention discloses a layered design method for snow surface overlay on ice-structured load-bearing structures, relating to the field of ice and snow engineering technology. The method includes the following steps: S1, determining the design constraints and performance indicators of the snow surface overlay based on target working conditions and environmental data; S2, obtaining the microstructural parameters of the snow material to be laid, including initial porosity, ice crystal size distribution, coordination number, and contact geometry. This invention establishes a cross-scale mechanical performance evolution model to accurately capture the microscopic mechanisms of ice crystal sintering, particle creep, and fatigue damage of snow material under long-term load and temperature, solving the problem of performance prediction deviations caused by the inability of existing macroscopic models to reflect microscopic evolution. By constructing a quantitative mapping relationship between microstructural parameters and macroscopic mechanical properties, combined with thermo-coupling load history simulation, accurate performance evolution data of the overlay can be obtained.

The application belongs to the field of artificial intelligence model compression and edge deployment in intelligent operation and maintenance and fault diagnosis of power equipment, and discloses a transformer cooperative distillation incremental learning method and system based on time sequence consistency, which comprises the following steps: a teacher model is used to screen a no-label sample set to obtain a pseudo-label sample set, the pseudo-label sample set is combined with an original label sample set to obtain a distillation training sample set; a multi-mechanism cooperative distillation training scheme containing soft and hard label joint distillation, time sequence consistency distillation and multi-task distillation is constructed, and a student model is subjected to distillation training through the multi-mechanism cooperative distillation training scheme; and a cooperative distillation incremental learning scheme in which a cloud end continuously updates a teacher model to adapt to new multi-source monitoring data and a student model after edge distillation generates a pseudo-label to expand the distillation training sample set is constructed. The application can be used for realizing high-precision and low-cost training and continuous updating of a student model in a resource-limited terminal or an online scene.

This invention discloses an adaptive inertial navigation solution method and system based on motion feature recognition, comprising: extracting multidimensional features reflecting the motion state of the carrier based on angular velocity and specific force data collected by the inertial measurement unit, and constructing a feature matrix; performing dimensionality reduction processing on the feature matrix to obtain low-dimensional feature vectors; performing cluster analysis based on a clustering algorithm that initializes cluster centers using prior samples to identify the motion state of the carrier; and adaptively selecting an appropriate combined navigation filtering strategy for navigation solution. This invention effectively suppresses the accumulation of inertial navigation errors, improving the autonomous navigation accuracy and long-term stability of the system in scenarios of satellite signal rejection or visual failure; it can finely distinguish different motion modes such as hovering, uniform motion, and transitional states, avoiding the shortcomings of traditional threshold methods that are susceptible to noise interference and have poor adaptability; by introducing continuous frame mode voting and physical anti-jump mechanisms, it further eliminates single-frame misjudgments, ensuring the continuity and robustness of state recognition.