48results about How to "Reduce system error" patented technology

The invention relates to a multifunctional deformation measurement device and a measurement method, and belongs to the technical field of thermal deformation measurement. Manufacturing a multifunctional deformation measuring device; marking the test piece to be tested; calibrating the precision of the measurement system by using a reference standard substance; a temperature sensor is installed on the test platform; vacuumizing treatment is conducted through a vacuum system; temperature control is carried out through a temperature precise regulation and control module; forming a heat radiation boundary; adjusting the visual angle and focal length of the measuring camera; adjusting a monochromatic illumination light source to realize light coverage on the tested piece; spraying speckles on the test piece to be tested; measuring the initial state of the tested piece; temperature control is carried out through a temperature precise regulation and control module; testing and recording the deformation condition of the tested piece at each temperature point in the whole test process; the method can solve the problems that a measurement test piece is only limited to a material-grade sample, the measurement environment simulation application range is small, the measurement error is large and the like in a traditional method, and is used for guaranteeing high-precision measurement of thermal deformation of a large-size composite material structure of a spacecraft.

The invention discloses a high-precision real estate surveying and mapping method in a complex terrain environment based on an optimization algorithm, and the method comprises the following steps: collecting abundant geographic information data through integrating a laser radar and a global navigation satellite system sensor, carrying out the preprocessing of the data, generating basic geographic information data, and constructing a digital elevation model; the method is used for representing three-dimensional fluctuating changes of the terrain, performing path planning and dynamic adjustment of an equipment running track through an optimization algorithm to adapt to the complex terrain, integrating multi-source data into a unified geographic information model by using a fusion algorithm, and performing error analysis and correction to obtain an optimized geographic information model. A real estate surveying and mapping map is generated based on the model, and real estate boundaries and topographic features are accurately marked. Through a series of optimization technologies, the target of high-precision surveying and mapping in complex terrains is achieved.

The invention provides a feature reduction and generalized inverse technology-based phenotype prediction method and system for self-adaptive fusion of linear and nonlinear effects, and constructs a new model for self-adaptive fusion of linear and nonlinear effects of prediction factors for crop phenotype prediction. And the importance degree of different effects on the phenotype is evaluated through a self-adaptive weight adjustment method, so that the function of comprehensively considering the influence of the linear main effect and the nonlinear relationship in crop phenotype prediction is realized. When the method is used for solving the model, the training data set is subjected to feature reduction, and the model is rapidly and effectively solved by using the generalized inverse, so that the determination efficiency of the phenotype value of the biological material is improved. According to the invention, model learning is carried out through the learning set and the test set obtained by multiple times of random division of the experimental data set, the system error of the model is reduced, and the stability of the phenotype prediction result is improved. The effectiveness of phenotype prediction is verified on genotype data based on DNA molecular markers and intermediate omics data based on metabolites.

The invention provides a target detection method and device, electronic equipment and a storage medium. The invention relates to the field of automatic driving, in particular to the field of image recognition of automatic driving. According to the specific implementation scheme, in response to starting operation of a vehicle, a camera is controlled to shoot an image of a road where the vehicle is located at the current moment, and the image is an initial image; under the condition that the virtual camera is started, pixel mapping is carried out on the initial image based on a homography matrix, and a virtual camera image is obtained; and inputting the virtual camera image into a pre-trained first detection model, and performing detection processing on the virtual camera image to obtain a first target detection result. According to the disclosure of the scheme, system errors caused by camera parameter differences can be reduced, and the accuracy of target detection is improved.

This invention discloses a multi-channel electromagnetic induction detection method and system based on uniform magnetic field constraint. A uniform magnetic field is constructed within the detection area of ​​the structure under test. Electromagnetic induction response signals are acquired through multiple channels under the constraint of the uniform magnetic field, and the spatial coordinates of each acquisition channel are marked. The raw electromagnetic induction signals acquired by each channel are preprocessed, including noise reduction filtering, envelope extraction, and amplitude normalization. A deep learning model is then used to extract structural features from the preprocessed multi-channel electromagnetic response signals. Based on the spatial position information of each acquisition channel, magnetic field uniformity parameters, and response characteristics, a channel correlation weight matrix is ​​constructed to describe the spatial consistency and physical coupling relationships between channels. A multi-channel joint optimization model is constructed, and the equivalent electromagnetic parameter distribution inside the structure under test is reconstructed through iterative solution. This invention improves the reliability, repeatability, and engineering applicability of electromagnetic induction detection results.

The invention discloses a skin high and low temperature simulation test method and system, and relates to the technical field of skin tests.The technical scheme is characterized by comprising the following steps that a target test skin area with smooth plane characteristics is marked as a smooth surface test area; marking the target test skin area with the texture concave-convex features as a texture surface test area; processing the historical test data corresponding to the smooth surface test area to obtain a first feature influence coefficient, and processing the historical test data corresponding to the texture surface test area to obtain a second feature influence coefficient; processing the initial skin physiological parameter detection data according to the first feature influence coefficient and then outputting first test feedback information; according to the second feature influence coefficient and the average temperature difference change value of the texture surface test area, a first physiological parameter compensation error value is obtained, and the effect is that the accuracy of skin physiological parameter detection is improved.

The invention discloses a sensitivity self-compensation method of an optical fiber acceleration sensor and related equipment, relates to the field of optical fiber acceleration sensing, and mainly aims to solve the problem that a sensing spectrum of the sensitivity of the optical fiber acceleration sensor is extremely easy to generate system errors. The method comprises the following steps: acquiring a time domain phase signal of an optical fiber acceleration sensor; determining an amplitude spectrum based on the time domain phase signal; linear interpolation is carried out on the sensitivity frequency response curve of the optical fiber acceleration sensor to obtain a linear interpolation result, and the linear interpolation result is used for representing sensitivity in a calibration frequency point range; and determining a frequency spectrum of the self-compensation acceleration based on the amplitude spectrum and the linear interpolation result so as to perform sensitivity self-compensation. The method is used for the sensitivity self-compensation process of the optical fiber acceleration sensor.

The invention belongs to the field of thermal conductivity and thermal diffusion coefficient measurement, and particularly relates to a high-temperature and high-pressure thermal conductivity thermal diffusion coefficient measurement device based on a double-line transient plane heat source method, which comprises a sample, a thermocouple, a plane heat source heating wire, a heat insulation pipe, heat conduction metal columns, a heater and a pressure transmission medium, the surface of the sample and the surface of the heat conduction metal column are wrapped with a heat insulation pipe, the center of the pressure transmitting medium is provided with a hole-shaped sample bin, the heat insulation pipe is arranged in the hole-shaped sample bin, the heater is located between the heat insulation pipe and the pressure transmitting medium, and the sample comprises a first sample piece, a second sample piece and a third sample piece which are stacked from top to bottom. The thermocouple is horizontally arranged between the first sample piece and the second sample piece, and the plane heat source heating wire is arranged between the second sample piece and the third sample piece. Measurement errors and system errors can be reduced, and the experiment success rate is increased.

The present invention relates to the field of antenna measurement technology, and proposes a method for determining the phase center of the radio frequency front end of a phased array antenna. The method comprises: S1: installing a phased array antenna and adjusting the geometric center position of the array surface of the phased array antenna; S2: obtaining the phase center offset and phase pattern of the phased array antenna; S3: if the phase pattern is not a straight line, executing S4, and if the phase pattern is a straight line, executing S9; S4: comparing the phase pattern with each reference image in the image library to obtain multiple similarities; S5: selecting the reference image corresponding to the maximum value among the multiple similarities; S6: determining the moving direction of the turntable manipulator according to the selected reference image; S7: moving the turntable manipulator according to the moving direction and the phase center offset; S8: returning to S2; S9: outputting the phase center of the phased array antenna. The method can realize efficient and accurate determination of the phase center.

The utility model relates to a chemical experiment instrument field, specifically read the auxiliary device of burette scale, including the clamp, the inner wall between the clamp is provided with burette tube body, one side of the clamp top is provided with the auxiliary observation mechanism, the auxiliary observation mechanism includes the casing, the utility model discloses through the clamp and auxiliary observation mechanism, can make the experimental personnel in the use burette process, guarantee the standard of operation method and reading mode, avoid when using burette, appear the case of looking down and looking up burette scale, thereby avoid the error that appears after looking down and looking up burette scale, and then can improve the accuracy and standardization of experiment operation, can further reduce the labor intensity of the labor of the laboratory personnel, be favorable to the physical and mental health of practical personnel, improve the accuracy of reading, avoid the error of artificial reading, greatly reduce the random error and system error of measurement.

The invention belongs to the technical field of ship inspection, and particularly relates to a gravity center static detection device and method for an ultra-large ship block, and the device comprises a heavy-load hydraulic lifting system, a pose adjustment platform, a three-axis tilt angle sensor, a pressure sensor, a laser displacement sensor, a weighing module, an ultra-wide band positioning system and other parts. According to the method, a distributed measurement mode is adopted, accurate and controllable oblique supporting force is introduced, the supporting force size, the spatial position and the inclination angle data of all supporting points are synchronously obtained, and the barycentric coordinates of the ship segments in the three-dimensional space are comprehensively solved, so that the problem that the barycentric height of the ultra-large ship segments is difficult to accurately measure is solved. In the whole detection process, ship sections do not need to be suspended or inclined, and static and safe measurement of the three-dimensional gravity center is achieved. The multiple detection devices are arranged in a distributed mode and can flexibly adapt to ship segments of different sizes, system errors and random errors are effectively reduced, and the detection precision is remarkably improved.

The invention relates to the technical field of antenna measurement, and provides a phased-array antenna radio frequency front end phase center measuring method. Comprising the following steps: S1, installing a phased-array antenna, and adjusting the geometric center position of the array surface of the phased-array antenna; s2, acquiring a phase center offset and a phase pattern of the phased-array antenna; s3, if the phase directional diagram is not a straight line, executing S4, and if the phase directional diagram is a straight line, executing S9; s4, comparing the phase directional diagram with each reference diagram in a diagram library to obtain a plurality of similarities; s5, selecting the reference image corresponding to the maximum value in the plurality of similarities; s6, the moving direction of the rotary table manipulator is determined according to the selected reference image; s7, the rotary table manipulator is moved according to the moving direction and the phase center offset; s8, returning to S2; and S9, outputting the phase center of the phased-array antenna. According to the method, efficient and accurate measurement of the phase center can be realized.

The present application relates to a kind of tool measuring method and system based on UG / NX software, based on UG / NX software, comprising: the tool model created after using reverse scanning device to scan cutting tool is obtained;Obtain the key features of the cutting tool set;Obtain the key parameters of the cutting tool set;Based on the tool model, key features and key parameters, using static installation size automatic measurement algorithm and / or static non-installation size automatic measurement algorithm, the automatic measurement calculation of static installation geometric dimension and / or static non-installation geometric dimension of cutting tool is carried out on the tool model;Output the measurement data calculated by static installation size automatic measurement algorithm and / or static non-installation size automatic measurement algorithm.The present application combines reverse scanning and UG / NX software, can greatly improve the measurement accuracy and measurement efficiency of tool, improve product quality, bring more economic benefits for enterprise.

The invention relates to the field of material mechanical property testing, and provides an in-service material property detection system based on an indentation method, comprising: an excitation module for applying a composite dynamic excitation load to a pressure head when the spherical pressure head is pressed into a to-be-detected material; the signal acquisition module is used for synchronously acquiring a dynamic load signal and a dynamic displacement signal in the pressing-in process of the pressing head; the data processing module is used for calculating an instantaneous phase difference according to the dynamic load signal and the dynamic displacement signal, constructing an evolution curve of the instantaneous phase difference along with the change of the pressure depth, and extracting a first characteristic depth, a second characteristic depth and a phase hardening index from the evolution curve; and the performance resolving module is used for calculating the elastic modulus and the yield strength of the to-be-tested material according to the first characteristic depth, the second characteristic depth, the phase hardening index and the mapping relation model. According to the method, the plastic hardening constitutive relation of the material does not need to be preset, rapid and micro-damage detection of the tensile property of the material can be achieved through single-time micron-order pressing-in, and the method is particularly suitable for field evaluation of in-service equipment.

The present invention relates to a real ship calibration device and calibration method for a packaged stress sensor. The device comprises: a calibration loading unit, including a sensor mounting beam and a force applying unit; a data acquisition processing unit, when calibrating the packaged stress sensor to be calibrated, a preset axial force is applied to the sensor mounting beam through the force applying unit, and after applying the preset axial force, the corresponding strain sensing values ​​of the packaged stress sensor to be calibrated and the standard sensor under the current axial force are collected by the data acquisition processing unit, so as to generate strain sensing information under the current axial force based on the collected strain sensing values; calibration information is generated based on the strain sensing information under all axial forces, and the data acquisition processing unit determines the sensitivity coefficient of the packaged stress sensor to be calibrated based on the calibration information. The present invention can effectively realize the real ship calibration of the packaged stress sensor, and improve the convenience and reliability of the calibration of the packaged stress sensor.

The invention discloses a rhodamine B doped silicon dioxide / xylan carbon dot composite material and a preparation method thereof. The method comprises the following steps: uniformly mixing rhodamine B and tetraethyl silicate to form RhB coated SiO2; and connecting the carbon dots with the RhB-coated SiO2 through covalent bonds to obtain the RhB-coated SiO2 / BCD. A DNA double-helix short chain is formed through a complementary chain grafted on the surface of BCD, a single-chain aptamer with one end connected with a quencher is coupled with a carbon dot, and the single-chain aptamer specifically targets vibrio parahaemolyticus. When the vibrio parahaemolyticus exists in the to-be-detected sample, the Apt. D is separated from the surface of the BCD and is combined with a recognition site on the surface of the vibrio parahaemolyticus, so that the fluorescence is recovered. And quantitatively detecting the vibrio parahaemolyticus according to the ratio of the blue fluorescence intensity B of the BCD to R by taking the intensity R of red fluorescence emitted by RhB coated SiO2 as an internal standard.

This invention discloses a method for predicting the characteristics of amorphous oxide semiconductor devices based on a hybrid dataset. The method involves constructing a hybrid dataset of drain-source currents for amorphous oxide semiconductor devices and using it to train an artificial neural network model. Device size parameters and voltage parameters are input into the trained artificial neural network model, which outputs predicted drain-source current values. Based on the device's voltage parameters and the corresponding predicted drain-source current values, the electrical characteristics of the amorphous oxide semiconductor device under different device size parameters are predicted. This invention rationally integrates data from different sources within a unified framework, fundamentally resolving the contradiction between insufficient measured data and significant deviations in simulation data in traditional modeling methods. It achieves a data fusion approach of "measured data as the primary source, supplemented by simulation data," making it easier for the neural network to learn electrical laws consistent with real devices, thereby further improving the stability, accuracy, and physical consistency of the prediction model.

The invention relates to a multifunctional deformation measuring device and a measuring method, belonging to the technical field of thermal deformation measurement; the multifunctional deformation measuring device is manufactured; a test piece is marked; the accuracy of a measuring system is calibrated using a reference standard; a temperature sensor is installed on a test platform; a vacuum treatment is performed by a vacuum system; temperature is controlled by a temperature precision control module; a thermal radiation boundary is formed; the viewing angle and focal length of a measuring camera are adjusted; a monochromatic illumination light source is adjusted to achieve light coverage of the test piece; a speckle is sprayed on the test piece; an initial state of the test piece is measured; temperature is controlled by a temperature precision control module; and the deformation of the test piece at each temperature point during the entire test process is tested and recorded; the invention can solve the problems that the traditional method is limited to material-level samples in measuring test pieces, the applicable scope of measurement environment simulation is small, and the measurement error is large, so as to ensure high-precision measurement of thermal deformation of large-size composite material structures of spacecraft.

The multi-variety plant fat-soluble root exudates synchronous collecting device comprises a water storage pot and at least one planting module arranged in the water storage pot, each planting module comprises a movable buckle and two fixing plates, water inlet and outlet holes are formed in the lower portions of the fixing plates, and protruding edges are arranged on the inner walls of the upper portions of the fixing plates. The two fixing plates are oppositely spliced and then fixed by a movable buckle to form a hollow structure, and filter paper is clamped between the two fixing plates. According to the device, multiple varieties (dozens or hundreds of crops) can be cultured and fat-soluble root exudates can be collected in a very small space (1 square meter) at the same time, and the collecting efficiency of the fat-soluble root exudates in the dry farming crop seedling stage is greatly improved.

The invention provides equipment and a method for measuring lodging resistance of rice, and relates to the technical field of agricultural machinery. The equipment comprises a vertical supporting rod and an overturning supporting rod hinged to the lower end of the vertical supporting rod, a thrust measuring part is installed at the hinged position, a straw holding assembly and a lower straw shearing assembly are integrated on the thrust measuring part, and a mass measuring part and a power supply battery are arranged on the vertical supporting rod. The method comprises the following steps: measuring internode breaking strength; selecting rice plants and measuring the height; bundling at a position 20cm away from the ground surface; applying a thrust to incline for 45 degrees, and measuring the thrust; after shearing, weighing the weight of the upper part; and calculating a bending moment and a lodging index. According to the scheme, thrust, weight and shearing parameters are synchronously obtained through an integrated structure, the field test efficiency and data accuracy are improved, manual operation errors are reduced, and the method can be used for evaluating the lodging resistance of rice.

The present disclosure provides a target detection method and device, electronic equipment and storage medium. The present disclosure relates to the field of automatic driving, in particular to the field of image recognition of automatic driving. The specific implementation scheme is: in response to a start operation of a vehicle, a camera is controlled to capture an image of a road where the vehicle is located at the current time, and the image is an initial image; in a case where a virtual camera is turned on, the initial image is pixel mapped based on a homography matrix to obtain a virtual camera image; and the virtual camera image is input into a first detection model trained in advance to detect the virtual camera image to obtain a first target detection result. According to the disclosure of the present scheme, the system error caused by the difference in camera parameters can be reduced, and the accuracy of target detection can be improved.

The application belongs to the field of biomechanical test data processing, and discloses a skin creep compliance construction method, system, device and storage medium. The method performs negative pressure suction test on the tested skin, obtains test parameters and original displacement-time data of the tested skin in the test process; identifies a test starting point, a creep starting point and a test termination point according to the change of the displacement of the tested skin with the test time; determines a compensation factor based on the displacement change amount from the test starting point to the test termination point and the displacement change amount from the creep starting point to the test termination point; compensates the displacement value of the tested skin based on the test parameters and the compensation factor, and obtains a creep compliance sequence according to a nonlinear calculation relationship.

The invention discloses a mechanical arm control method and device and a computer storage medium, and relates to the technical field of medical instruments.The method comprises the steps that the current position, the target position, the expected angular velocity corresponding to the target position and first control force of a target mechanical arm are obtained; acquiring a joint angle of the target mechanical arm at the current position and first included angle data between a base coordinate system of the target mechanical arm and the gravity direction; determining a target control parameter set matched with the joint angle, the expected angular velocity and the first included angle data through a pre-established kinetic parameter library; based on the target control parameter set, second control force needed by the target mechanical arm for executing the first motion is determined; and controlling the target mechanical arm to execute the first motion based on the first control force and the second control force. When dynamic compensation is carried out on the target mechanical arm, more accurate control over the target mechanical arm can be achieved in combination with the first included angle data between the base coordinate system of the target mechanical arm and the gravity direction.

The application discloses a method for early warning, monitoring and processing of grouting risk of thin-bed rock separation layer, and belongs to the field of mine safety mining and grouting engineering; the method constructs an in-situ test space by constructing an independent monitoring borehole and sealing the borehole at the interface; a water pressure test is started before grouting, a sliding time window is used to identify a steady state and to obtain a dynamic initial pressure benchmark value; the borehole pressure is collected in real time during grouting, and the pressure amplitude and the change rate characteristics are calculated; the two characteristics are input into a finite state machine logic, and a graded early warning state word is output after anti-jitter accumulation by a counter; a control system drives a frequency converter to execute closed-loop pressure reduction or triggers emergency shutdown and pipeline pressure relief according to the early warning state word. The application eliminates early warning distortion caused by geological differences and equipment interference, and realizes accurate identification and automatic intervention of grouting risk.

The application belongs to the field of biomechanical test data processing, and discloses a skin creep compliance construction method, system, device and storage medium. The method performs negative pressure suction test on the tested skin, obtains test parameters and original displacement-time data of the tested skin in the test process; identifies a test starting point, a creep starting point and a test termination point according to the change of the displacement of the tested skin with the test time; determines a compensation factor based on the displacement change amount from the test starting point to the test termination point and the displacement change amount from the creep starting point to the test termination point; compensates the displacement value of the tested skin based on the test parameters and the compensation factor, and obtains a creep compliance sequence according to a nonlinear calculation relationship.

This invention relates to the field of ground testing technology for spacecraft attitude control systems, specifically providing a ground testing method for the accuracy of a multi-level composite attitude control system. First, a fully physical simulation ground testing platform is constructed, including an on-orbit environment simulation system and a multi-level composite attitude control simulation system. Two reference calibration devices are built using a calibrated dual-axis photoelectric autocollimator, and two measurement reference units are constructed using the dual-axis photoelectric autocollimator and a multifaceted prism. Based on a cubic mirror, the calibrated dual-axis photoelectric autocollimator, and the dual-axis photoelectric autocollimator, zero-position reference calibration and angle calibration are performed on the multi-level composite attitude control simulation system. After calibration, the multi-level composite attitude control simulation system is controlled to move from the initial position to the final position, and angle information is collected through the two measurement reference units. The attitude control accuracy is calculated based on the angle information. This invention realizes ground testing of a multi-level composite attitude control system based on fully physical simulation.

The invention discloses a double-pin friction precise loading test device for simulating a deep sea environment. The double-pin friction precise loading test device mainly comprises an autoclave body, a rotary loading assembly, a pressure loading assembly, a friction sample and a data acquisition unit, high-pressure low-temperature water for simulating deep sea water is injected into the autoclave body to simulate a deep sea environment; the rotary loading assembly is used for driving the friction sample to rotate; the upper and lower surfaces of the friction sample are respectively connected with an upper friction pin and a lower friction pin; the pressure loading assembly is used for driving the lower friction pin to vertically move and loading pressure to the friction sample; the pressure loading assembly comprises a loading spring, a pressurizing rod, a load sensor and a stepping motor driver which are sequentially connected from top to bottom. And the stepping motor driver provides vertical pressure and drives the lower friction pin to apply vertically upward pressure to the friction sample through the pressure loading assembly. In addition, a PID controller is adopted between the load sensor and the stepping motor for feedback control, so that the accuracy and the stability of the system are ensured.

The utility model discloses an instrument for measuring endotoxin by adopting an integrating sphere principle, which relates to the technical field of endotoxin detection and comprises a shell and a light source irradiation hole, the computer mainboard is fixed to the front side in the shell, the heating disc is fixed to the rear side in the shell, the integrating sphere lower portions are evenly installed on the top face of the heating disc, the top faces of the integrating sphere lower portions and the bottom face of the integrating sphere upper portion are installed in a matched mode, and a light scattering cavity is formed in the integrating sphere upper portion. According to the instrument for determining endotoxin by adopting the integrating sphere principle, light sources with different wavelengths can be switched, reagent selection is not limited, each light source module can detect eight detection tubes, the light source modules adopt the integrating sphere principle, and the light source module can be used for detecting the endotoxin by adopting the integrating sphere principle. And the luminous fluxes irradiating the eight detection tubes are the same, so that the system error of the experiment is reduced, and a trace detection method of a photometric determination method can be realized.

The invention relates to the field of stability evaluation of a horizontal displacement monitoring and control network, and provides a method for evaluating the stability of a horizontal displacement monitoring and control network based on a known system, comprising the following steps: collecting relevant data of the horizontal displacement monitoring and control network; establishing a scale benchmark, a direction benchmark and a position benchmark of the horizontal displacement monitoring and control network, that is, establishing a first-phase known system result (first-phase result), wherein the first-phase result of the first-phase horizontal displacement monitoring and control network includes the results of all horizontal displacement monitoring and control network points; taking the first-phase result as a benchmark, using the re-measured free network results of the horizontal displacement monitoring and control network of the analysis stable point, obtaining the parameters of a two-dimensional four-parameter plane coordinate conversion model, reducing the re-measured free network results to the known system results, obtaining the re-measured results and the weight of the re-measured results according to the value provisions of the re-measured results of the control network analysis method based on the known system, and calculating the displacement of the displacement point.

The present invention provides a nonlinear characteristic waveguide device and method based on the R zone of a component, and aims at the detection and evaluation of the R zone of a complex-shaped component of a composite material, through a single-mode narrow-band flexible electromagnetic ultrasonic transducer for exciting characteristic waveguide, and a multi-mode broadband flexible electromagnetic ultrasonic transducer for receiving the nonlinear effect of the characteristic waveguide, to achieve rapid and long-distance detection and evaluation of the stress in the unreachable R zone. The present invention adopts non-contact flexible electromagnetic ultrasonic detection technology, excites the characteristic waveguide mode according to the geometric size of the structural area, performs data processing on the received signal to obtain the relative nonlinear parameters in the structural area, that is, uses the relative nonlinear parameters as coefficient factors to achieve effective characterization of the overall stress of the structural area, increases convenience, and improves detection efficiency.