51results about How to "Improve analysis accuracy" patented technology

This invention discloses a UAV inspection method and system for bridge bearings. The method includes: planning a strip-shaped flight path and constructing a coarse 3D point cloud model of the bridge; then planning a scanning flight path around the bridge's outer envelope to collect fine point clouds of bridge components; firstly, using a small amount of labeled data combined with pseudo-label generation and knowledge distillation to complete lightweight training of the PointNet model; then, strengthening structural association features through a contextual attention mechanism and generating virtual points using an occlusion region feature completion method to complete the occluded region and obtain a complete bearing point set; finally, extracting bearing geometric parameters by weighted noise point removal, iteratively fitting bounding boxes, and smoothing; planning a flight path based on the bearing's location to collect the bearing's surface image; then performing image cleaning and enhancement processing, and finally identifying surface defects using image recognition methods to generate an inspection report. Comprehensive technical support is provided.

The invention relates to the technical field of shell unit calculation of a large-curvature curved-surface thin-wall structure. The invention provides a shell unit calculation method suitable for aviation large-curvature skin. The calculation method comprises the following steps: constructing an average plane; determining a local Cartesian coordinate system; obtaining a first balance equation, a second balance equation and a third balance equation based on the moment balance formula in the average plane and the moment balance formula of the actual element; correcting the normal load of the four-node quadrilateral unit to obtain a fourth balance equation; and adding a moment component about an average plane normal at each node i, and performing moment correction on the moment component to finally realize correction on the load of the non-coplanar four-node plate shell element. According to the load correction scheme of the non-coplanar four-node plate shell element, the analysis precision under certain warping configurations is greatly improved.

The invention belongs to the technical field of transient analysis of a new energy grid-connected system, and particularly relates to a transient overvoltage analysis method of a direct-driven wind power grid-connected system under an asymmetric fault, which comprises the following steps: acquiring three-phase asymmetric voltage and current, and constructing a positive and negative sequence dq control model of positive and negative sequence bisynchronization of a direct-driven wind power plant station; establishing a mapping relation with a symmetric component method, and determining a positive-sequence dynamic reactive current increment and a negative-sequence current suppression coefficient according to a converter control strategy; establishing sequence network boundary conditions under various asymmetric faults; enabling the direct-driven wind power plant to be equivalent to a frequency-related controlled sequence impedance source, and obtaining equivalent sequence impedance of the wind power plant; establishing a sequence network equation considering wind power dynamic support; calculating the current and sequence voltage of the fault point, and obtaining a three-phase voltage through symmetric component inverse transformation; and an overvoltage coefficient is calculated, and a quantitative relational expression between the overvoltage coefficient and the negative-sequence current suppression coefficient is established and applied. The method provides theoretical support for parameter setting and capacity planning of the wind power integration system.

This invention provides a method for simulating buckling of subsea pipelines based on the pipeline element method, addressing the problems of low computational efficiency, complex modeling, and low accuracy in existing methods. Based on Euler-Bernoulli beam theory, this invention models the pipeline as a series of efficient pipeline elements. Internal pressure is converted into equivalent temperature rise, and the effective thermal expansion force generated by the effective temperature rise is applied to both ends of the pipeline element to construct the total potential energy equation. The second derivative of the total potential energy equation is performed to obtain the tangent stiffness matrix of the pipeline element. An updated Lagrange method is used for coordinate transformation. The secant relationship is used to calculate the pipeline element and soil resistance. A Newton-Raphson incremental-iterative numerical program is established to perform nonlinear analysis of the pipeline, progressively solving for the deformation and stress of the pipeline under complex loads. This invention significantly reduces the number of elements, improves computational efficiency, and accurately simulates nonlinear pipe-soil interactions. It is applicable to various pipelines, including short pipes, long pipes, and corroded pipes, as well as complex working conditions such as high temperature and high pressure.

This invention discloses a multifunctional analyzer combining CL-LIBS-LA-ICP-MS, comprising a laser optical path module, an electronic excitation system, a spectral detection module, a sample chamber, and a mass spectrometry detection module. The laser optical path module includes a laser source, a beam adjustment system, a scanning galvanometer, and a coaxial microscopic observation system. The spectral detection module includes a light signal collection end, an echelle grating spectrometer, a gated camera, and a timing control module. Another aspect of this invention discloses an analytical method, comprising setting the environment to vacuum and performing CL imaging scanning; selecting a LIBS test area based on the CL imaging scan image and performing LIBS scanning; selecting a third test area based on the LIBS scan results, filling the sample chamber with carrier gas, and performing laser ablation mass spectrometry detection. This invention eliminates the positioning error caused by sample transfer between multiple instruments during combined techniques, provides more comprehensive information on the structure and composition of the sample, and further improves the detection efficiency of the entire method through two screening test ranges.

This application relates to the field of dynamic mechanical analysis technology, providing a method, device, medium, and product for dynamic mechanical analysis of contact surfaces. The method includes: acquiring contact surface state information; acquiring sliding work state variables based on the contact surface state information and tangential stress information; acquiring dynamic shear parameter information based on the sliding work state variables; acquiring contact surface stage information based on the contact surface state information and dynamic shear parameter information; and updating tangential stress information based on the contact surface stage information, contact surface state information, and dynamic shear parameter information. By determining the sliding work state variables, dynamic shear parameter information, contact surface stage information, and updating tangential stress information, a closed-loop feedback mechanism of "energy dissipation - parameter degradation - stress update" is achieved for the contact surface under cyclic loading, improving the analytical accuracy of the dynamic mechanical response of the contact surface and meeting the need for precise analysis of structural mechanical stability in dynamic engineering scenarios.

The invention discloses a method for determining ash content of recycled polystyrene plastic by X-ray fluorescence spectroscopy, which comprises the following steps: selecting recycled polystyrene plastic with different ash content as a standard sample, determining the content of all elements of the plastic by using an X-ray luminoscope, taking organic components of the recycled polystyrene plastic as equilibrium phases to participate in calculation, and determining the ash content of the recycled polystyrene plastic by using the X-ray luminoscope to determine the ash content of the recycled polystyrene plastic. And dividing the standard sample into two sections according to the ash content, and fitting the two sections with the actual ash content function respectively. And measuring the fluorescence spectrum of the sample to be measured, calculating the theoretical ash content, and correcting the theoretical ash content by using a function. Compared with a standard ash content measuring method, the method does not need to burn plastic, and is simple, rapid, environment-friendly and safe. Compared with an empirical coefficient method of X rays, a direct tabletting method can be selected, a calibration curve of elements does not need to be established, and the analysis efficiency is improved; meanwhile, matrix effect and element spectral line overlapping caused by matrix difference between an actual sample and a standard sample are avoided, and the analysis precision is improved.

The application provides a kind of monitoring area abnormal behavior early warning system, including camera, physiological monitoring intelligent wristband, sensor module, data analysis module and abnormal early warning module;Among them, when the camera collects the behavior data of the prisoner in the monitoring area, it can use local fuzzy method to blur the bathroom area and process the blurred shooting, so as to effectively balance the privacy protection and safety supervision demand;Physiological monitoring intelligent wristband and sensor are used to collect physiological data of prisoners and environmental data in the monitoring area respectively, to provide auxiliary basis for abnormal analysis of behavior data by data analysis module, so that it can timely and accurately identify abnormal events, such as environmental abnormal events, personal injury events, psychological abnormal events and bathroom abnormal events, etc.;Abnormal early warning module can evaluate the risk level of the abnormal event that has occurred, and trigger the corresponding early warning notification, so that the on-duty personnel can timely intervene the abnormal behavior of the prisoner.

The invention relates to the field of work ticket supervision and inspection, in particular to an intelligent power work ticket supervision and inspection system fusing multi-modal data, and the system comprises a data analysis unit which is used for determining whether to carry out the high-precision optimization of a reference verification mode or not based on a split condition; the parameter optimization unit is used for determining whether to adjust the path enumeration depth or not based on the regional topology complexity corresponding to the regional condition and the dynamic load reference degree; a processing optimization unit to determine whether to perform path order optimization based on the redundancy condition; and the task analysis unit is used for determining and adjusting cache updating duration or executing task circulation based on the range conflict value corresponding to the processing module, and determining a circulation module based on the range discrete value during task circulation execution. According to the invention, the supervision efficiency of the electric power work ticket is improved.

This invention relates to the field of power transmission line monitoring and early warning technology, specifically an intelligent bird monitoring device and risk warning method for power transmission lines. The device includes an intelligent bird monitoring device for power transmission lines and a risk warning method using the device. The monitoring device comprises an image acquisition module, a thermal sensing module, a sound acquisition module, a motion monitoring module, an edge computing module, and a power supply module. Each acquisition module is signal-connected to the edge computing module, and the power supply module provides power to all modules. Through the collaborative work of multiple modules, comprehensive and multi-dimensional monitoring of bird activity in power transmission line areas is achieved. The early warning method is implemented through five steps: data acquisition, data processing, intelligent analysis, risk assessment, and early warning output. This invention enables comprehensive and accurate monitoring and tiered early warning of bird activity in power transmission line areas, improving monitoring efficiency and early warning accuracy, and ensuring the safe and stable operation of power transmission lines.

The invention provides a detection system and a detection method for a decomposition product of perfluoroisobutyronitrile-nitrogen mixed gas, and belongs to the technical field of gas analysis and electric power insulation detection. The detection system for the decomposition product of the perfluoroisobutyronitrile-nitrogen mixed gas is provided with a sample introduction device, a first separation device, a second separation device, a flow path switching valve device and a detection device, and the first separation device comprises a first gas chromatographic column, a second switching valve and a third gas chromatographic column which are connected in series; the first separation device comprises a first gas chromatographic column and is used for separating a fluorocarbon compound in a gas sample, and the second separation device comprises a second gas chromatographic column and is used for separating the nitrile compound in the gas sample and realizing fine separation and quantitative detection of a nitrile decomposition product; the separated fluorocarbon compounds and nitrile compounds are accurately detected in the detection device, and the recognition accuracy and sensitivity of detection can be effectively improved.

The invention relates to seawater analysis, and particularly provides a desalting and purifying device and system applied to seawater tritium on-line monitoring, the device comprises a first-stage unit, the first-stage unit comprises a first membrane assembly and a filter which are connected in sequence; the first pressure pump is used for increasing the pressure of seawater entering the first membrane assembly, and a waste discharge port of the first membrane assembly is communicated with a waste liquid pipeline. The method has the advantages of automation, high analysis precision and the like.

This application relates to the field of medical data processing technology and discloses a method and system for screening infertile patients with polycystic ovary syndrome (PCOS). The method includes: acquiring data on the number of antral follicles, anti-Müllerian hormone (AMH) concentration, and ovarian volume from multiple patient monitoring cycles; performing feature extraction and normalization to obtain a set of normalized feature vectors; determining the synchronous relationship between the number of antral follicles and ovarian volume based on the vector set, and identifying signs of asynchronous changes; combining hormone concentrations for joint grouping to obtain the distribution of abnormal indicator clusters and identifying ovarian function stage markers; performing sequence matching based on the stage markers of continuous cycles and historical medical records to generate an ovarian function progression trajectory curve; extracting inflection point features from the curve and performing causal association rule mining to construct a logical chain between abnormal indicators and clinical outcomes; and determining conditions layer by layer according to the logical chain to output the final screening results. This application improves the accuracy of screening infertile patients with PCOS.

The invention discloses a radar error calibration method based on target track comparison, relates to the technical field of electronic information, and aims to improve the precision and coverage dimension of radar system error detection and adapt to differential detection requirements and coordinate conversion characteristics of different flight conditions so as to realize efficient and accurate error evaluation and analysis and improve the accuracy of radar system error detection. By improving the analysis precision and the anomaly recognition speed of radar system error monitoring, the quality assurance efficiency and the detection accuracy level in the operation process of a radar system are remarkably improved, pairing deviation and error evaluation quality reduction caused by subjective judgment are avoided, the pertinence and the implementation effect of an optimal matching scheme are effectively improved, and the method is suitable for popularization and application. Through accurate identification and analysis of a slant distance error, an azimuth error and an elevation angle error, and in combination with a preset number of times of radar data correction circulation mechanism, deviation abnormal factors influencing a radar system error are determined, and it is ensured that a quality management and control measure is highly matched with an actual detection defect risk.

This invention relates to the field of seismic data processing and analysis technology, and particularly to a method and system for analyzing marine geological seismic monitoring data based on wavelet-PCA. The invention performs data preprocessing on marine geological seismic monitoring data; performs wavelet decomposition on the preprocessed data; expands the approximation coefficients and detail coefficients obtained from the wavelet decomposition into one-dimensional vectors, and concatenates them to form a feature matrix; performs dimensionality reduction on the feature matrix using principal component analysis; and performs data analysis on the dimensionality-reduced feature data using a graph neural network model. When using the graph neural network model for analysis, it respects the fundamental constraint of spatial distance as a basis for station association, while also introducing the inherent linkage of seismic signals to characterize more essential physical connections, significantly improving the feature expression capability and analysis accuracy of seismic signals, and providing key technical support for disaster early warning, resource exploration, and other applications.

The invention discloses a customer group data processing method and device, electronic equipment and a storage medium, and relates to the technical field of big data or other related fields, and the method comprises the steps: obtaining transaction data of N financial customers from a financial database, and constructing a financial customer group network according to the transaction data, N being a positive integer; based on a preset threshold value formula and a spectral clustering algorithm, the financial customer group network is classified, the financial customer group network is disassembled according to a classification result, M sub-graphs are obtained, and M is a positive integer; solving a maximum independent subset for each sub-graph by adopting a quantum computing optimization strategy, and determining customer associated information corresponding to the maximum independent subset; and updating the current customer group information in the financial database by using the customer association information corresponding to all the sub-graphs. Through the method and the device, the technical problem that customer group information cannot be updated in time due to low processing efficiency of financial customer relationship data in related technologies is solved.

The present application relates to the field of work ticket supervision, and particularly relates to a power work ticket intelligent supervision system fusing multi-modal data, comprising: a data analysis unit, used to determine whether to perform high-precision optimization for a benchmark verification mode based on a split condition; a parameter optimization unit, used to determine whether to adjust path enumeration depth based on a regional topology complexity corresponding to a regional condition and a dynamic load reference degree; a processing optimization unit, used to determine whether to perform path order optimization based on a redundancy condition; and a task analysis unit, used to determine whether to adjust a cache update duration or perform task flow conversion based on a range conflict value corresponding to a processing module, and determine a flowable module based on a range discrete value in the task flow conversion. The present application improves the supervision efficiency of the power work ticket.

The application relates to the technical field of edge computing and multi-modal data processing, and discloses a park multi-modal data stream alignment and caching method based on event driving, which improves alignment accuracy, resource efficiency and real-time performance, can realize semantic understanding and association, and meets asynchronous data fusion, and comprises the following steps: S1, detecting an event and generating an event anchor point; S2, based on the event anchor point, dynamically intercepting a segment related to the event in a multi-modal data stream and aligning on a time axis; S3, packaging the aligned multi-modal data segment into an event data packet, caching the event data packet according to an event priority strategy, and querying on demand. The application also discloses a system for implementing the above-mentioned park multi-modal data stream alignment and caching method based on event driving.

This invention discloses a solution processing device based on negative pressure filtration and solid-phase extraction (SPE). It solves the technical problems of separate processing of the test solution using SPE and filtration, which leads to increased purification costs and lower purification efficiency. It also addresses the issue that existing SPE instruments use a negative pressure space throughout the container, resulting in uneven negative pressure on each liquid guide tube, causing inconsistent separation speeds and even incomplete separation of some liquids. The device includes a filter cup support platform, a sample tray, a vacuum pump, a filtration assembly, and a sealing assembly. By placing the solid-phase extraction resin and the filtration assembly at the bottom of the solution container in the filter cup, negative pressure filtration of the sample solution and solid-phase extraction separation of interfering substances can be achieved simultaneously, minimizing separation steps, shortening purification time, and improving purification efficiency.

The invention relates to a non-methane total hydrocarbon analysis system and a sampling control method and an analysis method thereof. The non-methane total hydrocarbon analysis system comprises a single chip microcomputer, a detection gas circuit and a sampling control circuit, the first detection gas circuit comprises a TDLAS detection module, a flow regulating valve and a first gas resistor which are sequentially arranged in the gas inlet direction; the second detection gas path is led out from the gas outlet end of the TDLAS detection module and comprises a filter, a second gas resistor and an FID detector which are sequentially arranged in the gas inlet direction; the air outlet end of the first air resistor and the air outlet end of the FID detector are connected with the jet pump; the sample injection control circuit comprises a proportional electromagnetic valve, a first differential pressure sensor and a second differential pressure sensor, and the single chip microcomputer is in signal connection with the first differential pressure sensor and the second differential pressure sensor; the differential pressure sensors are respectively used for detecting pressure difference between two ends of the air resistor; the single-chip microcomputer is in signal connection with the proportional electromagnetic valve, and the proportional electromagnetic valve controls the sampling pressure of the jet pump so as to control the constant flow of the second detection gas circuit. Quantitative sample injection control is realized through control of the proportional electromagnetic valve, and a gas circuit is simple.

The invention discloses a data acquisition method for improving the precision of an underground anti-collision tool analysis model, and belongs to the technical field of oil and gas well drilling and completion tool design, research and development and construction, and the method comprises the following steps: selecting a site with a stable and lower surrounding natural magnetic field to provide an environment suitable for magnetic field data acquisition; simulating the underground space real form and drilling parameters of a Changqing oil field well group, considering the residual magnetic flux of an adjacent well sleeve, and carrying out magnetic exploration data collection at different space positions; invalid data influenced by temperature and wind power in the collected data are filtered; and establishing an underground magnetic detection type anti-collision tool analysis database, and putting the filtered standard template into the database to enrich a template analysis scene. According to the underground space trajectory distribution of the large well group, the three-dimensional database is established, the analysis precision of the model is enhanced, and the detection accuracy of a tool system is improved.

The application relates to an industrial park-oriented carbon-energy collaborative management method, system, device and medium, which comprises the following steps: obtaining and preprocessing multi-source carbon-energy data of an industrial park to obtain a carbon-energy data set; constructing a park carbon-energy flow hypergraph model based on the carbon-energy data set to depict the correlation between energy flow and carbon emission flow among multiple subjects in the park; extracting carbon-energy evaluation indexes of each subject, calculating a comprehensive score value by using a comprehensive scoring model of the fusion of an analytic hierarchy process and an entropy weight method, determining a carbon quota allocation coefficient, and realizing reasonable allocation of the carbon quota; identifying output subjects and demand subjects of waste heat and surplus energy based on the carbon-energy flow hypergraph model, determining a waste heat and surplus energy sharing path and a sharing amount, and generating a waste heat and surplus energy sharing transaction scheme; and performing carbon-energy collaborative management on multiple subjects in the park according to the carbon quota allocation result and the waste heat and surplus energy sharing transaction scheme and generating a management report. The application has the effect of improving the collaborative efficiency of carbon-energy management of multiple subjects in the industrial park.

The invention relates to the technical field of artificial intelligence and big data processing, and discloses an artificial intelligence-based big data analysis platform system, which comprises a data access layer, a data preprocessing layer, an AI analysis engine layer, a data storage layer, an application service layer and a monitoring operation and maintenance layer which are in communication connection in sequence. The data access layer is used for realizing multi-source heterogeneous data access and high-frequency data caching; the preprocessing layer completes data cleaning conversion and quality detection; the AI analysis engine layer realizes full-life-cycle management, intelligent analysis and result optimization and explanation of the model; the data storage layer adopts a mixed framework for classified storage and remote backup; the application service layer provides a visual display and open interface; the monitoring operation and maintenance layer guarantees stable operation of the system. According to the invention, data processing efficiency and analysis precision are improved, and data security and user experience are enhanced.

The application discloses a FY-4B satellite aerosol observation data multiscale assimilation prediction method and system, relates to the meteorological analysis technical field, and the method comprises the following steps: obtaining land aerosol optical depth observation data inverted by an AGRI sensor carried by a FY-4B stationary meteorological satellite; constructing a double-layer nested based on a WRF-Chem regional weather-chemical coupling mode, and obtaining a collection background field based on a collection emission disturbance strategy; performing 4D-LETKF assimilation analysis based on the land aerosol optical depth observation data and the collection background field, so as to obtain a collection analysis field; and running a short-time WRF-Chem prediction based on the obtained collection analysis field, so as to obtain aerosol short-term prediction results. The application realizes analysis and short-term prediction of regional aerosols with high space-time resolution, and significantly improves the simulation capability for high-resolution spatial distribution characteristics and rapid change processes in the hour scale.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

This invention discloses a two-layer dynamic model of a composite transportation-medical network based on Markov chains, effectively overcoming the shortcomings of traditional complex network failure models in static network construction and the dynamic coupling and integration of disease transmission and infrastructure failure. This model integrates the functional relationships between transportation and medical infrastructure, introduces the background of infectious disease transmission, combines the SEIHR model and Markov chains to describe disease transmission dynamics, and utilizes a load-capacity model to capture the dynamic process of cascading failures, thus forming a two-layer dynamic model. This invention can not only accurately simulate network response and resource allocation driven by individual mobility and medical treatment decisions, but also effectively reveal the triggering mechanism and propagation path of cascading failures, providing scientific support for urban infrastructure planning optimization, public health emergency resource scheduling, and risk early warning. The applicability and analytical accuracy of the model are improved in infectious disease outbreak scenarios.

The embodiment of the invention provides a detection method of a communication machine room and related equipment, and belongs to the technical field of machine room equipment monitoring. The method comprises the following steps: acquiring machine room environment data respectively collected by various environment sensors; performing dynamic weighted fusion calculation on the sensing data of each machine room to obtain a total environment feature vector; analyzing the total environment feature vector through a lightweight model to obtain a machine room detection result; the lightweight model is obtained by learning the trained large detection model, and the lightweight model is deployed in the edge server. According to the embodiment of the invention, the lightweight model can maintain high analysis precision and generalization ability while remarkably reducing the occupation of calculation and storage resources, and finally outputs an accurate detection result of the machine room environment abnormity or the equipment state, thereby effectively improving the real-time performance and reliability of machine room environment monitoring, and improving the reliability of the machine room environment monitoring. And the autonomous decision-making and response capability at the edge side is also enhanced.

This invention provides a flow cytometry mass spectrometry analysis method, comprising the following steps: (A1) labeling cells with a metal element and selecting a nuclide based on the metal element; adding the nuclide when preparing the cell solution; (A2) ionizing the metal element and the nuclide respectively and sending them to a time-of-flight mass spectrometer; (A3) the time-of-flight mass spectrometer outputs a first type of information on the change of the metal element intensity over time and a second type of information on the change of the nuclide intensity over time, compressing the second type of information over time to obtain the rate of change of the second type of information after compression in adjacent time periods; (A4) determining whether the rate of change exceeds a threshold; if it exceeds the threshold, the detection data of the metal element and nuclide corresponding to the adjacent time period are invalid; if it does not exceed the threshold, the detection data of the metal element and nuclide corresponding to the adjacent time period are valid. This invention has the advantages of low cost and high precision.

The application relates to the technical field of engineering design simulation, and provides a power battery box cover pressing test simulation method, device, equipment and medium, the method comprises the following steps: acquiring frame design parameters and cover design parameters of a power battery box; generating a power battery box simulation frame according to the frame design parameters; generating a power battery box simulation cover by simulating cover stamping on a preset flat plate cover material according to the cover design parameters; assembling the power battery box simulation frame and the power battery box simulation cover to obtain a power battery box simulation model; and performing pressing simulation on the power battery box simulation model according to preset pressing parameters to obtain a pressing simulation result. The method can quickly predict whether the battery pack has a pressing rebound abnormal sound problem before the battery pack is produced and manufactured, has high analysis precision for the abnormal sound problem of the battery pack, and can reduce the abnormal sound analysis cost.

The invention belongs to the technical field of sensor array detection, and provides a sensor array device based on stepping scanning and a detection method, and the method comprises the steps: collecting signals through the comparison of a test group and a control group, and precisely judging whether aliasing occurs or not through the analysis of spectrum peak value and time domain performance; further defining a risk super-harmonic frequency band through multi-gradient driving fundamental frequency test, and verifying and positioning a super-harmonic order and an interference source in combination with dynamic fine tuning; and finally, eliminating aliasing by adopting a driving parameter fine tuning or reverse digital compensation mode according to working condition limitation, and extracting a real detection signal. The device adaptive to the method adopts a modular design, and all modules cooperate and are efficient, so that the device can be stably adaptive to a high-speed stepping working condition; according to the invention, accurate determination, positioning and elimination of aliasing are realized, the detection accuracy and stability are improved, different process requirements are adapted, and the detection error is reduced.