230 results about "Single measurement" patented technology

The invention discloses a radiator micro-channel structure integrity detection method based on acoustic measurement, and relates to the technical field of information, the method couples acoustic propagation measurement with density inversion and particle transport observation, firstly screens a key observation object according to density gradient change, and then constructs a hydrodynamic equilibrium graph by using auxiliary particle flow, and finally obtains the structural integrity of the radiator micro-channel. And channel-by-channel difference is carried out with reflection measurement of standard acquired data, so that defects are indicated by three domains of energy, time and space together. According to the closed-loop link, the sensitivity to tiny blockage, slight deformation and early crosstalk is remarkably improved, the false alarm rate that single measurement is easily influenced by noise and working condition fluctuation is reduced, fine positioning of channel-level abnormal positions and ranges is achieved, and the closed-loop link is suitable for high-resolution detection of dense micro-channel arrays without disassembly or destructive operation.

The invention discloses an airborne radar ground moving target stable tracking method, and belongs to the technical field of avionics, and the method comprises the following steps: S1, obtaining and fusing multi-modal measurement data; s2, clutter suppression and pretreatment; s3, target state estimation; s4, data association and track repair; s5, group target collaborative tracking; and S6, outputting a tracking result. According to the airborne radar ground moving target stable tracking method, multi-mode fusion and track adhesion are used for supplementing a single measurement short plate and repairing a broken track; by means of clutter map and optimization filtering strong clutter suppression, the state precision is improved; the multi-target tracking is optimized by using the graph model and the group target modeling, the complexity is reduced, the prior is fused, and the tracking stability of the complex scene is enhanced.

The invention discloses an intelligent risk assessment method and system for disease detection, and the method comprises the steps: delimiting a normal fluctuation interval based on the steady state of an individual through collecting the historical physiological measurement values of the individual, extracting daily activity characteristics through combining behavior data, and distributing an initial risk weight according to a preset proportion; and continuously comparing the current physiological index with an individual normal fluctuation interval by accessing a real-time data stream, and screening unexplained abnormal signals in combination with environmental parameters. The method gets rid of dependence on a general standard and single measurement, and can identify an abnormal trend deviating from a self steady state when a physiological index does not break through a general medical threshold value by utilizing individualized baseline and multi-source data fusion. By establishing a dynamic reference system and a context screening mechanism, the system can start a risk assessment process at the initial stage of an abnormal trend, so that the timeliness and pertinence of early warning are remarkably improved, and early capture of potential health risks is realized.

The invention discloses a dispenser height measurement method, a warping correction method, a dispenser and a storage medium, and relates to the field of dispensers. Controlling the carrying platform to drive the substrate to move, starting the laser transmitter to roughly measure the substrate, and obtaining initial point cloud data of the surface of the substrate; performing accuracy judgment on the initial point cloud data, determining material characteristics of the substrate according to a judgment result, and selecting a target height measurement mode; when a mixed height measurement mode is selected, identifying an abnormal key point and a target area of the initial point cloud data, and switching to a probe height measurement mode to perform fine measurement on the target area to obtain secondary point cloud data; the abnormal key points comprise intensity abrupt change points and boundary positions of the substrate; and carrying out point cloud processing fusion based on the initial point cloud data and the secondary point cloud data to generate a high-precision 3D morphology graph. According to the scheme, high-precision height measurement of substrates made of different materials is realized. The mixed height measurement mode overcomes the limitation of a single measurement mode, and improves the adaptability of the dispenser to various substrates.

The invention discloses a civil construction intelligent management and control method and system based on the Internet of Things, and relates to the technical field of buildings, through selecting a to-be-tracked reference point set on site and constructing a drift record sequence and a static credible domain, the time continuity stability of reference points in the construction process can be quantified in real time, and the construction efficiency is improved. And the omission of early drift symptom in single measurement is avoided. The validity of the reference point is judged in combination with the static credible domain, and an error propagation command is triggered through a drift trend, so that the system can intervene and dynamically correct an effective point set and the credible domain when the error is still in an early stage, deviation accumulation and upward propagation are prevented, and the risk of staggered layers of the whole structure is reduced. And constructing a full-field error vector field by utilizing clustering analysis, identifying a high-risk area and a high-risk offset component, and uploading the high-risk area and the high-risk offset component to a construction main control system to generate a retest and re-setting-out task, so that automatic identification and priority correction of the risk component are realized.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a wireless communication system and, more particularly, to a method and a device capable of performing same, in which a terminal: transmits, to a base station, first capability information including a first indicator indicating that the terminal is capable of receiving and applying radio resource control (RRC) signaling in which multiple pieces of reporting configuration information may be mapped to a single measurement ID; receives, from the base station, a first RRC message including first configuration information in which multiple pieces of reporting configuration information are mapped to a single measurement ID; determines whether multiple reporting conditions corresponding to the multiple pieces of reporting configuration information are satisfied; and transmits a measurement report message to the base station if it is determined that the multiple reporting conditions are satisfied.

The invention discloses a power distribution network fault type diagnosis and section positioning method and equipment, and the method comprises the steps: selecting eight-channel waveforms of a single measurement point of a fault line: three-phase zero-sequence voltage, zero-sequence voltage, three-phase current and zero-sequence current as research and judgment waveforms; based on a fault waveform data set and a batch simulation waveform data set collected by an actual line, a waveform data set with high quality, wide coverage scene and balanced type distribution is generated through a conditional generative adversarial network; each channel of waveform of the fault waveform is subjected to classification complete set normalization, feature region interception and field transformation dimension expansion to form a two-dimensional field matrix, eight groups of two-dimensional matrixes are preprocessed to form eight-channel two-dimensional matrix tensors, and a model training set is formed in combination with fault types and fault section labels; according to the invention, classified identification of the fault type and the fault section of the fault waveform is realized; according to the method, troubleshooting can be accelerated, the power supply reliability of the power distribution network is improved, and technical support is provided for grounding fault diagnosis completely depending on data driving.

The invention relates to the technical field of mine safety monitoring, in particular to a coal mine tunnel deformation real-time monitoring device and system. The technical problems that in the working process of a traditional roadway monitoring technology in a geological structure complex area, data processing delay is large, and the best intervention opportunity may be missed due to data lag in the traditional technology are solved. According to the technical scheme, the real-time monitoring device and system for deformation of the coal mine tunnel comprise a fixed distance measuring unit, a reflection target array and a displacement calculation unit, the displacement calculation unit is used for obtaining original distance data from each laser distance measuring sensor to a corresponding reflection target in real time, and the original distance data is calculated through difference calculation between the original distance data and a preset reference distance. The real-time displacement variable quantity of each key deformation monitoring position is directly output, and the displacement variable quantity is directly used as a monitoring index of roadway deformation; according to the invention, through the direct correspondence between laser ranging and the reflection target, the scanning and three-dimensional reconstruction process in the traditional technology is abandoned, the single measurement period is shortened, and the real-time capture requirement of catastrophe precursor is met.

The invention belongs to the technical field of non-magnetic material nondestructive testing, and discloses a non-ferromagnetic material thickness and conductivity synchronous measurement method based on eddy current phase characteristics, and the method comprises the specific steps: S1, estimating the conductivity and thickness range of a to-be-tested piece based on data such as a product specification or an industrial standard; s2, determining excitation frequency according to a frequency selection criterion (high frequency enables the skin effect depth to be smaller than 1 / 3 of the thickness, and low frequency enables the skin effect depth to be larger than two times of the thickness of the sample); s3, an eddy current method is adopted to obtain the impedance variable quantity phase of the to-be-measured non-ferromagnetic material; and S4, substituting the phases into corresponding simplified model formulas respectively, and obtaining the conductivity and the thickness at the same time. Aiming at the problems of multiple calibration, blindness in excitation frequency selection, low single-parameter measurement efficiency and the like in conductivity or thickness measurement by an existing eddy current method, double-parameter output of single measurement is realized, multiple calibration and inversion calculation are not needed, the calculation is simple, rapid and accurate, the hardware cost is low, and the applicability is wide.

The invention relates to a tunnel special-shaped crossed traverse measurement method, which relates to the field of tunnel construction, and comprises the following steps: S1, in a tunnel clearance area, multiple pairs of measurement points are sequentially arranged along the depth direction of a tunnel, and the multiple pairs of measurement points are sequentially distributed on the L side and the R side of the tunnel in a staggered manner; the measuring point positions comprise two single measuring points which are arranged in sequence; s3, additionally measuring the distance between short sides P and P: in three adjacent pairs of measurement points, respectively taking P and P as base points, and measuring first angle observation values and first side length observation values of P (-), P (-), P (+) and P (+); and S4, calculating a second angle observation value and a second side length observation value between the two single measurement points in each pair of measurement points according to the angle observation values and the side length observation values of the two single measurement points in each pair of measurement points in the step S3. The method has the effect of improving the measurement precision.

The invention discloses an image-based suspension bridge surface anomaly measurement method and measurement system, and relates to the technical field of optical measurement and image processing. The method comprises the following steps: projecting a first polarization grating and a second polarization grating with mutually orthogonal polarization directions to a to-be-measured area of the suspension bridge in a time-sharing manner; polarization information of reflected light is collected by adopting a polarization state imaging unit, and corresponding first and second Moire phase diagrams are generated. The data processing unit further performs double-path parallel processing on the two Moire phase diagrams: on one hand, a two-dimensional inclined field representing the macroscopic contour of an object is solved through a joint solution algorithm; and on the other hand, through differential operation, microscopic optical anisotropy abnormal points caused by material stress, damage and the like are identified and positioned by utilizing symmetrical response of the optical isotropic surface to the orthogonal grating. The method realizes synchronous decoupling of geometric and physical characteristics from a single data source through one-time measurement, has the advantages of non-contact and high efficiency, and is suitable for precise detection of large-scale structures such as a suspension bridge and the like.

The application discloses a kind of automatic monitoring device and method of tree trunk radial growth, it is related to measurement technical field, device includes: electric rotating platform, laser ranging sensor, data processing equipment and support platform;Electric rotating platform drives laser ranging sensor to rotate a week, and laser ranging sensor determines the distance of all sheltering objects to sensor in real time;Data processing equipment receives the real-time ranging data sent by laser ranging sensor;After measuring a circle, the ranging data of current ranging data set is clustered, and a plurality of ranging data clusters are obtained;Right-angle coordinate modeling and circle fitting are carried out on each ranging data cluster, to determine the position and diameter of each tree trunk;Through the diameter of tree trunk obtained by continuous measurement at different times, the radial growth rate of tree trunk is calculated. By implementing the present application, the growth rate of multiple tree trunks can be measured automatically in a non-contact form, solving the problem of contact measurement affecting tree growth and only single measurement in the prior art.

This invention provides an iterative measurement device and method for the surface shape of a cylindrical axially stressed component, belonging to the field of component measurement technology. It solves the problems of low measurement accuracy, single measurement method, low algorithm efficiency, and insufficient precision of existing measurement devices. This measurement device can detect the perpendicularity of the cylindrical axially stressed component, ensuring its vertical placement. It can stably adjust the height of the probe detection mechanism and the laser measurement mechanism, maintaining stable positions without wobbling, thus satisfying the requirement of measuring the outer contour of the cylindrical axially stressed component's surface twice. By controlling the main unit in conjunction with the probe detection mechanism and the laser measurement mechanism, it achieves rapid and accurate measurement of the cylindrical axially stressed component's appearance shape. The measurement method of this invention does not cause errors in the measured specimen's appearance due to the irregular shape of the track itself. Utilizing an iterative algorithm, it can achieve precise measurement of the appearance of the cylindrical axially stressed component and the track.

This invention discloses a testing device for the operating performance of a lever mechanism simulating load, belonging to the field of high-end equipment performance testing. The core innovation of the device lies in the sequential connection of the lever, crank, connecting rod, slider, and frame assembly to form a crank-connecting rod-slider core transmission and load simulation mechanism. This mechanism integrates adjustable load simulation and integrated synchronous measurement functions. By configuring counterweights, replacing elastic elements, and adjusting connection angles and lever arms, it can accurately simulate nonlinear, multi-dimensional coupled actual operating loads. Simultaneously, a sensor network composed of force sensors, tilt sensors, and acceleration sensors respectively set at key nodes such as the lever and crank synchronously collects multi-dimensional force / torque, displacement, and acceleration parameters throughout the entire operating process. This invention solves the problems of load distortion, single measurement, and asynchronous data in traditional testing, achieving accurate and universal testing of the operating performance of lever mechanisms.

The application discloses a wafer polishing laser interference closed-loop pressure control method, and relates to the technical field of semiconductor manufacturing, and comprises the following steps: S1: a ceramic plate is triggered to automatically measure a program after being turned over with a wafer; S2: a laser interference measurement head is driven by a six-axis mechanical arm positioning system to non-contact scan T2 / T4 points of the wafer, and thickness distribution data is acquired; S3: a Zernike polynomial is adopted to fit the thickness distribution data to generate a three-dimensional distribution graph, and a pressure correction amount is calculated based on a pressure prediction model constructed by a process kinetics model and a support vector machine regression algorithm; S4: an abnormal processing module is used to detect data outliers in real time, and a device protection strategy is triggered when a deviation exceeds a set threshold; and S5: a pressure control instruction is transmitted to a polishing head by a PLC controller through a PROFINET bus. By means of non-contact laser interference measurement, the laser interference technology is applied to wafer thickness detection after polishing for the first time, and single measurement time is less than 20 seconds, so that the detection efficiency is significantly improved.

Techniques are provided for generating an occupancy grid based on input from a plurality of heterogeneous sensors. An example method for generating an occupancy grid includes obtaining detection information from a plurality of heterogeneous sensors; generating a single measurement grid based on detection information from the plurality of heterogeneous sensors; determining the occupancy probability of a plurality of cells in a single measurement grid; and outputting the occupancy grid based at least in part on the occupancy probability.

A method for providing patient hemodynamic information includes obtaining a three-dimensional electronic model of the patient's coronary artery, obtaining first and second boundary condition model value sets, and performing first and second three-dimensional computational fluid dynamics (CFD) simulations of the model based on the first and second boundary condition model value sets. For each CFD simulation, a first pressure drop between a first location and a second location of the coronary artery is calculated. The method further includes determining, based on the first and second pressure drops, patient-specific parameters, determining an inflow rate boundary condition based on the patient-specific parameters, performing a third three-dimensional CFD simulation of the coronary artery model based on the inflow rate boundary condition, and calculating, according to the third CFD simulation, a third pressure drop for any location in the coronary artery model.

The invention relates to the technical field of surgical measurement, in particular to a real-time measurement method and system for the length and eccentric distance of lower limbs in hip replacement. According to the technical scheme, the method comprises the following steps that anatomical feature points on the two sides of a patient are obtained, wherein the anatomical feature points at least comprise the positions of anterior superior iliac spines on the two sides and the positions of high points on the inner side and the outer side of ankle joints on the two sides; and according to the obtained anatomical feature points, calculating and establishing a normal position reference plane of the patient. By means of the non-invasive body surface positioning and optical tracking technology, the length and the eccentric distance of the lower limb can be accurately measured in real time in the hip replacement. The method comprehensively considers the change of both sides of the acetabulum and the femur, avoids the trauma risk of traditional invasive navigation and the deviation of single measurement, and provides a quantitative basis for doctors through intraoperative dynamic data feedback and preoperative, intraoperative and postoperative whole-course evaluation, thereby improving the surgical precision and reducing the occurrence rate of complications with unequal lengths of lower limbs.

The application discloses a kind of eccentricity measuring method of motorized turntable of microscope, effective picture range for subsequent analysis is selected in advance in the original drawing photographed by camera, then the movement and photographing function of motorized turntable are automatically controlled under the linkage of computer and electric control module, finally the target center is identified by image center identification algorithm, the eccentricity result of specified reference hole position on motorized turntable is measured, and the experimental results show that the eccentricity measuring precision of the application is 0.432 μm, with pixel-level error, and the artificial measuring precision 0.444 μm is at the same level;But in terms of speed, due to the analysis method of selected effective picture range, single measurement only takes 0.134s, compared with the analysis method of original image of prior art, the efficiency is improved by about 51.3%.

The invention discloses an environment-friendly digital flat weighing platform based on a low-power-consumption sensing network, and belongs to the technical field of intelligent traffic detection and metering. The using method of the weighing platform comprises the steps of obtaining an actual weighing value of a vehicle based on the environment-friendly digital flat weighing platform, obtaining an estimated weight value of the vehicle based on the image recognition module, and diagnosing the environment-friendly digital flat weighing platform based on the actual weighing value and the estimated weight value. According to the method, accurate recognition of the vehicle model, the axle number and the loading state is achieved through the improved YOLOv8s algorithm, and the reliable weight pre-estimated value is generated based on the accurate recognition of the vehicle model, the axle number and the loading state. The pre-estimated value is compared with the actually measured weight of the sensor in real time, so that the self fault of the weighing platform or the abnormal state of the vehicle can be effectively diagnosed, and the traditional weighing is upgraded from single measurement to an intelligent detection and diagnosis system. Meanwhile, the system has a fault self-early-warning capability, and is combined with a low-power-consumption sensing network and solar power supply, so that the operation and maintenance efficiency is remarkably improved, the energy consumption is reduced, and effective unification of accurate metering, intelligent diagnosis and green operation is realized.

The invention provides a laser radar ranging method and system using a single photon avalanche diode. A laser radar range finding method using a single photon avalanche diode comprises the following steps: generating and emitting a laser pulse sequence, the laser pulse sequence comprising a plurality of pulses, the plurality of pulses having a plurality of time intervals, each time interval being an integral multiple of the resolution of a time-to-digital converter, the sum of all the time intervals is a preset fixed value, so that the duration of a single measurement period is fixed; receiving an echo signal reflected by a target by using a single photon avalanche diode detector, and quantizing the echo signal into a receiving vector by using a time-to-digital converter; and performing cross-correlation operation on the receiving vector and a transmitting vector corresponding to the laser pulse sequence, and calculating a target distance according to a peak value position of a cross-correlation operation result. According to the invention, hardware cost is reduced, and high-efficiency ranging with a stable frame rate is realized at the same time.

The invention discloses an electric energy metering data anomaly detection method and system based on multi-modal feature fusion, and relates to the technical field of electric measurement. The method comprises the following steps: constructing a main measurement mode and a derived measurement mode, forming an energy conservation reachable evolution interval by utilizing the instantaneous electric parameters of the main mode and combining the transformation ratio of the mutual inductor, a metering channel and a sampling synchronization factor; mapping a derived mode to the interval, judging constraint triggering, and establishing a cross-mechanism consistency model; and extracting evolution violation features in multi-cycle tracking, and executing measurement credible reconstruction so as to generate a measurement anomaly detection result. The technical problems that existing electric energy metering depends on a single measurement mode, metering abnormity is difficult to effectively recognize and correct in a complex power grid environment, and the accuracy and reliability of metering data are insufficient are solved, metering consistency detection through multi-mode fusion is achieved, precise recognition and credible reconstruction of metering abnormity are achieved, and the accuracy and reliability of metering data are improved. And the accuracy and the reliability of the electric energy metering data are improved.

This invention relates to the field of physics experiments, and more particularly to a convex lens imaging experimental method and system based on machine vision and data collaboration. The system includes a guide rail, a convex lens, a sliding frame, a light source, a support frame, a stepper motor, a lead screw, a screen, an extension arm, a camera, a controller, and a processor. This invention automatically identifies the optimal imaging position by combining a camera and a processor, eliminating the subjectivity of human judgment, improving the objectivity and reliability of experimental conclusions, and uploading experimental data to the cloud in real time. This enables the aggregation, sharing, and visualization analysis of multiple sets of data, ensuring the objectivity and accuracy of a single measurement while supporting the summarization of imaging patterns from multiple sets of data, thus enhancing the scientific rigor and depth of the experiment.

The invention discloses a bump measurement method and device, electronic equipment, a computer readable storage medium and a program product, and the measurement method comprises the steps: obtaining the initial three-dimensional point cloud data of a wafer bump through a three-dimensional measurement module, and dynamically evaluating the confidence of the initial three-dimensional point cloud data; when the confidence coefficient comparison result meets a triggering condition, triggering a re-collection strategy, adjusting the relative pose of the measurement module and the wafer to carry out supplementary collection, and screening high-confidence-coefficient data from the measurement module and the wafer; and performing pose compensation on the screened high-confidence data, and performing data integration on the initial three-dimensional point cloud data to generate a complete three-dimensional shape. According to the scheme, structural shielding and optical interference are avoided through multi-pose acquisition, high-confidence data are screened to integrate original data, data missing and precision limitation of traditional single measurement can be overcome without greatly increasing hardware investment, high-precision and high-efficiency measurement support is provided for high-density bumps, and the measurement efficiency is improved. And the method has significant economic value for quality monitoring and yield improvement of the advanced semiconductor packaging process.

The application discloses a granite corrosion fatigue life prediction method based on approximate conformal dimension evolution, relates to the technical field of material damage mechanics, and comprises the following steps: collecting crack images under different cycle numbers of granite subjected to the action of corrosion medium and cyclic load, and constructing a crack set; calculating the approximate conformal dimension of each observation point after pretreatment and obtaining an evolution sequence by monotonicization; driving to establish a discrete damage evolution relationship by using a dimension increment, and calibrating parameters by using early data; and extrapolating damage accumulation of an unobserved interval, and determining the prediction life when a threshold is reached. The application integrates corrosion parameters into edge weights, realizes joint measurement of environment and crack geometry, selects the minimum box dimension by traversing parameters, overcomes single measurement limitations, depicts a corrosion fatigue accumulation process by using an increment-driven recursive model, realizes effective prediction under partial life data by using two-stage calibration and early data extrapolation, and improves engineering practicability and early warning capability.

The utility model relates to the field of measuring rulers, and discloses a handheld tea bud length measuring instrument which comprises a ruler body. The fixed measuring claw is mounted at one end of the scale body; the sliding measurement assembly comprises a sliding block which is arranged on the outer wall of the scale body in a sliding and sleeving manner; the movable measuring claw is arranged at one end of the side wall of one side, close to the fixed measuring claw, of the sliding block, and is symmetrically distributed with the fixed measuring claw; the tea garden field operation is adapted through the handheld design, single measurement can be completed only through the three steps of sliding block pushing, rotating locking and reading, the consumed time does not exceed 5 seconds, compared with a traditional ruler, the measurement efficiency is improved by more than three times, the rotation angle is limited through cooperation of a three-quarter arc-shaped groove and an arc-shaped rotating plate, and the measurement accuracy is improved. Misoperation is avoided, the learning cost is reduced, accurate positioning of tea buds is achieved through the symmetrically-arranged measuring claws, and rolling or deformation of the tea buds is avoided; the meshing structure of the gear and the toothed plate ensures that the sliding block moves stably and does not deviate.

A sensor arrangement has a structure extending along a length, an optical fibre carrier, and an optical fibre sensor carried by the optical fibre carrier. The optical fibre carrier is fixed to the structure proximal to each end of the structure and is formed of a first carrier portion and a second carrier portion that are movable relative to each other and is formed substantially of a material having a first coefficient of thermal expansion. The optical fibre sensor has a single measurement point and is fixed to the optical fibre carrier either side of the single measurement point; and the structure is formed of a material having a second coefficient of thermal expansion which is different to the first coefficient of thermal expansion

The objective is to provide a surface roughness measuring device and a surface roughness measuring method that can measure the surface roughness of an object being measured even when it is moving at high speed. [Solution] The system comprises a laser light source that irradiates the surface of an object to be measured with laser light at an angle of 5 to 45 degrees, a light receiving sensor that receives reflected laser light reflected at a measurement point on the surface of the object to be measured, and a laser light roughness calculation means that calculates a laser light roughness value, which is the surface roughness value of the object to be measured, from the amount of reflected laser light received by the light receiving sensor, wherein the laser light roughness calculation means calculates the laser light roughness value from the distribution of the magnitude of the amount of reflected laser light at a single measurement point.

The application provides a device for measuring total pressure loss of an ultrasonic internal flow field, comprising a total pressure probe, a support rod and a wind tunnel bottom plate; the total pressure probe is arranged on the wind tunnel bottom plate through the support rod. An airflow delivery channel is arranged in the total pressure probe; a pressure measuring hole is arranged at the central position of a sharp wedge structure at the front end of the total pressure probe; an airflow outlet is arranged at the rear end of the total pressure probe; and the airflow outlet is connected with a pressure scanning valve through a hose. The device can realize simultaneous measurement of total pressure and Mach number in a single measurement without twice measurement of total pressure and Mach number respectively, and has easy operability and measurement accuracy compared with a traditional circular probe; compared with a normal shock wave in front of the circular probe, the oblique shock wave in front of the probe has smaller plugging degree to the flow field, and can reduce the influence of the invasive device on the start of the flow field; when the array arrangement probe realizes simultaneous measurement of multiple points of total pressure, the influence of the oblique shock wave-oblique shock wave interference in front of the probe on the measurement accuracy is very low, and the accuracy of the result is higher.

The present invention provides a sea surface target tracking method based on real-time estimation of detection accuracy, which determines the single-shot target range accuracy σ of the radar. R Determine the single-shot angular accuracy σ of the radar. A According to the single measurement target distance accuracy σ R and single-detection angle measurement accuracy σ A A Gaussian distribution model is constructed; the radar's current measurement parameters of the target are obtained and input into the Gaussian distribution model to determine the range of range and angle accuracy under different probabilities of the current detection result. The measurement parameters include at least the target's range accuracy, size, and signal-to-noise ratio. The target's association threshold is updated in real time based on the accuracy range of angle and range. The trajectory initiation strategy is updated based on the updated association threshold. This enables rapid initiation or rapid convergence of the target trajectory. Furthermore, during the multi-hypothesis branch selection process, branches with high-precision measurement initiation are prioritized for output, improving the speed and accuracy of branch switching.