3561 results about "Measurement precision" patented technology

The invention discloses a pulse eddy current signal late period slope feature extraction method and system based on segmentation fitting, and belongs to the technical field of nondestructive testing. The method comprises the following steps: performing logarithmic transformation and filtering processing on a to-be-detected eddy current signal; intercepting a characteristic signal segment based on the filtering signal; dividing the feature signal segment into a plurality of sub-segments, performing piecewise linear fitting, determining a linear segment, and extracting a slope as a feature value; repeating the steps to obtain characteristic values of the test pieces with different thicknesses, performing curve fitting according to the characteristic values of the test pieces with different thicknesses and the corresponding thicknesses, and calculating a fitting error; and finally, iteratively optimizing the division number of the sub-segments by taking the minimum fitting error as a target. Through adaptive filtering, segmentation fitting and an intelligent optimization algorithm, the anti-interference performance, the linearity and the measurement precision of pulse eddy current signal feature extraction are remarkably improved, and efficient and reliable thickness detection of the high-temperature and high-pressure industrial pipeline under the condition that a heat preservation layer does not need to be disassembled is achieved.

The invention discloses an optical imaging and coding hole technology fused optical imaging system and method, and aims to integrate scattered polarization components in a reflected light signal into coding light field data with clear layers by constructing a polarization coding modulation system, so as to highlight a coupling relationship among optical elements. A refocusing sequence and a focal plane chromatography technology are adopted, spatial geometric information and light intensity distribution characteristics of different depth layers are fully excavated, and a three-dimensional distribution rule of surface topography is disclosed; wavefront correction and deformable mirror control technologies are introduced, imaging parameters of an optical system are adjusted in a self-adaptive mode, and the application range of measurement precision is expanded; light intensity modulation analysis and phase unwrapping window processing are combined, the change trend of the surface curvature is depicted, and key feature points of morphology measurement are grasped; finally, multi-dimensional and multi-level optical measurement information is fused, three-dimensional measurement output with rich content and reliable precision is formed, and comprehensive and high-quality measurement technology resources can be provided for application scenes such as precision optical detection and surface quality evaluation.

The invention relates to the technical field of detection, in particular to a complex shell detection method and system based on structured light scanning. The method comprises the following steps: calculating a wrapped phase value and a phase modulation amplitude of each pixel point under each frequency, calculating discrete probability distribution containing candidate stripe series and a corresponding probability for each pixel point based on a multi-frequency wrapped phase difference, generating an initial pixel confidence map, and constructing an energy function; the penalty weight of the smooth item is determined according to the phase modulation amplitude and the wrapped phase gradient local variance, obtaining an initial fringe order distribution diagram, updating discrete probability distribution by using an initial pixel confidence map, re-minimizing an energy function to obtain a corrected fringe order distribution diagram, and reconstructing a final three-dimensional shape. And iteratively optimizing a projector principal point and a radial distortion coefficient in system calibration parameters. According to the scheme, the geometric details of the surface can be reserved, and the processing effect and the measurement precision of the complex curved surface and the high-curvature area are improved.

The invention discloses a detection method of an ocean magnetic field sensor based on a diamond NV color center. The detection method comprises the following steps: S1, calibrating a base line; s2, alternately measuring fluorescence between two single quantum resonance frequencies, and obtaining a difference to realize DQ reading; s3, three-axis compensation current is adjusted based on closed-loop control, and the NV working point is maintained at zero magnetization bias; s4, obtaining background magnetic field change through digital demodulation and adaptive filtering; and S5, calculating a gradient based on the spatial difference of the multi-point light spots, judging the existence and trajectory of the underwater vehicle in combination with a threshold value and a spectrum matching method, calibrating the threshold value according to the magnetic field characteristics of the existing underwater vehicle, adopting short-time Fourier transform signal spectrum, comparing the threshold value with known submarine characteristic spectrum data, and prompting if the similarity exceeds a set threshold value. According to the detection method, the measurement precision and the anti-interference capability can be improved, and the method is suitable for real-time monitoring of weak magnetic anomalies (such as magnetic moment disturbance of an underwater vehicle).

The invention provides a method for automatically calibrating collected data of high-precision measurement and control deformation monitoring equipment, and belongs to the technical field of wind tunnel inner profile measurement. Multi-equipment clock synchronization is realized by establishing a unified time reference system, and measurement data of different frequencies are processed by adopting a CPU-GPU heterogeneous parallel processing architecture, so that the measurement accuracy is improved. The method comprises the following steps: performing three-level alignment on time, space and precision dimensions by using a multi-level clustering algorithm, eliminating clock differences among equipment by using a clock drift correction equation set, establishing a space coordinate system conversion matrix to unify a global coordinate system, and performing adaptive data fusion according to a precision weight by using a Kalman filtering fusion algorithm. And a data quality evaluation system is established to ensure the accuracy of a calibration result, a high-precision calibration data set is finally output, and the technical problem that the measurement precision is reduced due to space-time inconsistency of heterogeneous data of multiple devices is solved.

The invention relates to the technical field of capacitance compensation matching, in particular to a dynamic tuning capacitance compensation matching method and system for a transformer simulation test. The method comprises the following steps: before a test is started, establishing a digital twin model based on parameters of a transformer to be tested, identifying a systematic measurement error source caused by inherent characteristics of a system through simulation, and generating error source correction parameters; in the test period, voltage and current original waveforms containing electrical disturbance in a test loop are obtained in real time through high-frequency synchronous sampling; a mixed disturbance separation model is used, the collected original waveform and the generated error source correction parameters are used as input, and random measurement disturbance components caused by load dynamic changes are calculated and separated in real time; and based on the separated disturbance component, driving a dynamic capacitance compensation module to generate a compensatory electric signal which is equal to the disturbance component in size and opposite to the disturbance component in phase, and injecting the compensatory electric signal into a test loop so as to realize active disturbance cancellation. According to the invention, the measurement precision of the transformer simulation test can be improved.

The invention discloses a channel flow velocity measurement error compensation method based on multi-source fusion, and the method comprises the following steps: S1, synchronously collecting flow velocity, position, attitude and environment data, including ADCP radial flow velocity, GNSS position / speed and IMU attitude angular velocity, through a multi-source sensor, aligning multi-source data based on a time synchronization mechanism, and achieving microsecond time synchronization based on PPS time service; according to the method, RTK high-precision positioning and ADCP bottom tracking data are integrated, the water surface elevation and the water bottom distance are inversed in real time, and the actual water depth and the riverbed erosion and deposition rate are dynamically calculated; edge calculation, motion compensation and external compass correction technologies are fused, the flow velocity and flow direction measurement precision is improved, and platform motion and attitude interference is eliminated; multi-source data local fusion processing and real-time generation of a flow velocity thermodynamic diagram and a water level change curve are realized, remote transmission and visualization are supported, and comprehensive and accurate hydrological data support is provided for maritime affair intelligent supervision, navigation safety early warning and digital channel construction.

The invention provides an underwater target multi-sensor fusion magnetic field measurement system in a complex magnetic environment, which relates to the technical field of marine equipment and comprises a multi-mode magnetic field sensing module, an attitude correlation correction module, a layered fusion processing module and an environment self-adaption and magnetic anomaly detection module. The multi-modal magnetic field sensing module is responsible for collecting multi-dimensional and multi-type original magnetic field data around the underwater vehicle and constructing a complete magnetic field observation basis, and the attitude correlation correction module is used for eliminating the influence of the motion attitude change of the underwater vehicle on magnetic field measurement. The hierarchical fusion processing module performs hierarchical fusion on multi-sensor data; the environment self-adaption and magnetic anomaly detection module realizes background magnetic field separation, interference suppression and magnetic anomaly target identification; according to the system, the magnetic field measurement precision and robustness of the underwater vehicle in a complex magnetic environment can be improved, and high-reliability magnetic field feature extraction and situation awareness functions are realized.

The invention provides a current sensor. The current sensor adopts a magnetic-core-free design, and adopts a diversion row group with a special structure to guide a target current so as to enhance the electrifying capability of the current sensor and reduce the adverse effect of a high-frequency current skin effect on measurement. Based on the structural characteristics of the diversion row group, the magnetic sensitive component for measuring the target current and the corresponding sensing signal processing method are arranged in a matched manner, so that the measurement precision of high-frequency large current is improved, the suppression capability of an interference magnetic field is improved, and the signal-to-noise ratio of an effective measurement signal is increased. The current sensor provided by the invention is compact in structure, simple in manufacturing process, strong in electrifying capability and high in signal-to-noise ratio of a sensing signal, not only widens the measuring range of the current sensor, but also effectively improves the measurement precision of high-frequency large current, and expands the application range of the magnetic-core-free current sensor.

The invention discloses a self-adaptive ultrasonic measurement method and system based on multi-channel cooperation, and relates to the technical field of ultrasonic measurement. The method comprises the following steps: collecting original flight time signals of each channel; meanwhile, environment data are collected in real time; original flight time signals are processed, effective signal arrival pre-flight time is extracted, and a fusion data set is constructed; constructing a two-dimensional sound channel spectrogram based on the multi-sound channel time sequence of the pre-flight time, and performing feature extraction based on a lightweight convolutional neural network to generate an abnormal confidence vector; analyzing the sound channel state based on the abnormal confidence vector; constructing a physical information neural network, and analyzing the corrected sound velocity value of each sound channel and the two-dimensional sound velocity field distribution on the section of the whole pipeline; training an online sequence extreme learning machine model in combination with historical measurement data; and based on the final fusion weight of each sound channel and the corresponding sound channel flow velocity, carrying out weighted fusion to generate a flow velocity optimal estimation value. And the measurement precision and robustness are improved.

The invention relates to the technical field of laser displacement meters, discloses a calibration method of a laser displacement meter for a Beidou device based on multi-data coupling, and effectively solves the problems of time delay compensation and data synchronization of cooperative work of multiple devices in a dynamic environment. According to the invention, when a carrier moves at a high speed or environmental parameters suddenly change, submillimeter-level positioning precision can still be maintained, meanwhile, data processing delay is controlled within a millisecond-level range, the reliability of a measurement system under a complex working condition is remarkably improved, and through double marking of a GNSS timestamp and a local clock, the measurement precision is greatly improved. And an accurate time deviation observation value is provided for a subsequent time delay compensation algorithm, so that a time-space unified data basis is established in a data preprocessing stage, and the feasibility of multi-source heterogeneous data fusion is remarkably improved.

The invention provides a spectral data optimization method and device, computer equipment and a storage medium, and relates to the technical field of semiconductor detection.The method comprises the steps that original spectral data output by a spectrograph is obtained, and the central wavelength value of the original spectral data of each frame is calculated; querying from a preset database according to the central wavelength value to obtain a corresponding instrument linear function; and processing each frame of original spectral data and the corresponding instrument linear function by adopting a deconvolution algorithm to obtain optimized real spectral data. According to the scheme, algorithm compensation is carried out on each frame of spectral data, so that system distortion introduced by the spectrometer can be accurately compensated in a full spectrum range, the extraction precision of spectral features is greatly improved, and the magnitude order improvement of measurement precision is realized; in addition, the optimized spectral data more truly reflects the physical characteristics of the tested sample, the dependence of an optical model on empirical parameters is reduced, and the generalization ability and prediction reliability of the model are improved.

The invention discloses a three-degree-of-freedom measurement method based on a planar two-dimensional time grating sensor, and the method comprises the following steps: enabling a movable ruler base body and a fixed ruler base body to be installed in a parallel and opposite manner, and leaving a certain gap between the movable ruler base body and the fixed ruler base body; after same-frequency and equal-amplitude sine excitation signals with the phase difference of pi / 2 are applied to the four-phase excitation electrode groups on the fixed ruler base body respectively, the movable ruler base body moves in the X direction and the Y direction and deflects around the Z axis relative to the fixed ruler base body; the single sensing unit on the movable ruler base body can solve output signals deflecting in the X direction and the Y direction and around the axis, the output signals of all the sensing units are subjected to combined operation, and displacement values of the movable ruler base body in the X direction and the Y direction and the deflection angle theta can be decoupled. According to the method, displacement measurement in the X direction, the Y direction and the deflection angle around the Z axis can be achieved through combined calculation between the induction units on the movable ruler base body, the calculation speed is high, interference can be further eliminated, and the measurement precision is improved.

The invention discloses a distribution box room environment parameter integrated measurement method, and particularly relates to the field of multi-parameter measurement, and the method comprises the steps: firstly constructing a machine room three-dimensional model and a sensor correlation degree matrix, then building a heat balance, humidity diffusion and airflow motion model, and calibrating parameters; deploying a measurement system and calibrating through dual synchronization and cross check; establishing a sensor confidence evaluation system and an adaptive threshold based on 72-hour reference data; fusing calibration data by adopting a three-level correlation calibration mechanism; four types of measurement modes and conversion logics are designed, and measurement resources are dynamically allocated through environmental risk assessment; multi-dimensional state parameters are extracted, a comprehensive evaluation value is calculated through normalization, dynamic weighting and combinatorial algorithms, and five-level early warning response is achieved; according to the method, multiple models and an intelligent algorithm are integrated, the parameter measurement precision and the environment risk identification efficiency are improved, the response delay is reduced, the fault diagnosis accuracy is improved, and reliable technical support is provided for safe operation and maintenance of the distribution box room.

The invention provides a temperature compensation method and system of a mass flowmeter, and relates to the technical field of mass flowmeters.The method comprises the steps that a space temperature field and a strain field covering a whole measuring pipe body are obtained, and a distributed heat-force coupling state is constructed; configuring a primary disturbance parameter set, projecting the primary disturbance parameter set to a natural vibration mode space, and constructing an equivalent temperature disturbance quantity; configuring the excitation frequency of dual-frequency vibration excitation; inputting a double-frequency response result into a temperature-flow decoupling model, and inversely constructing a temperature compensation factor; calculating an original estimated value of the flow, constructing a temperature compensation amount, fusing the original estimated value of the flow, and outputting a measurement result. The technical problem that in the prior art, due to the fact that single-point temperature measurement cannot accurately decouple the temperature effect under the complex working condition, measurement of the mass flow meter is inaccurate is solved, the space temperature field and the strain field of the whole measurement pipe body are obtained, self-adaptive compensation is conducted on sensitivity drifting of the measurement pipe, and the measurement accuracy is improved. And the measurement precision of the mass flow meter is improved.

The utility model relates to an armored temperature and pressure integrated sensor, and the sensor comprises an armored housing which comprises a housing body and a sleeve connected with the housing body, and the sleeve is internally provided with a closed cavity; the circuit board is arranged in the armored shell; the temperature sensing element is mounted in the closed cavity; the support is arranged in the armored shell and comprises a support body, a metal terminal is arranged in the support body, one end of the metal terminal extends into the armored shell to be connected with the temperature sensing element, and the other end of the metal terminal extends out of the support body to be connected with the circuit board; and the pressure sensing element is mounted in the bracket and connected with the circuit board, and the pressure sensing element is used for detecting the pressure of an external pressure source. While temperature and pressure are measured synchronously, the excellent performance of the armored shell effectively protects internal elements from external physical impact, electromagnetic interference, severe temperature fluctuation and the like, it is ensured that the sensor can work stably and reliably in a complex environment and a complex medium, and the measurement precision is ensured.

The invention provides an accurate calculation method and system for the axial pretightening force of an ultrasonic bolt, and the method combines a high-order statistic theory with a nonlinear filtering technology, and solves the problem that the measurement precision of a conventional method is insufficient under the conditions of strong noise and nonlinearity. Particle filtering and Kalman filtering are combined, so that the problem that a traditional Kalman filtering method easily causes sensitivity of an initial value of filtering divergence is solved; a double-Gaussian attenuation model is adopted to fit an echo envelope, the problem that a single Gaussian or single index model cannot adapt to envelope distortion caused by stress change is solved, and a nonlinear state space model is established to adapt to nonlinear echo signal characteristics under dynamic stress; gaussian noise is effectively suppressed by using a third-order cumulant cross-correlation algorithm, the time difference resolution in a low signal-to-noise ratio environment is remarkably improved, and the Gaussian noise and asymmetric interference are effectively suppressed.

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

The invention relates to the technical field of soil pressure sensors, and discloses a lever structure-based soil pressure sensor, which comprises a shell, a bearing plate, a constant-strength cantilever beam, a force transmission lever and a measurement optical fiber, and is characterized in that the shell is internally provided with a containing cavity with an upward opening, the bearing plate is arranged at the top of the shell, and one end of the constant-strength cantilever beam is arranged on the side wall of the containing cavity; the force transmission lever is rotationally arranged in the accommodating cavity, and the measuring optical fiber is arranged at the bottom of the equal-strength cantilever beam; the equal-strength cantilever beam guarantees equal strain in the axial direction, micro deformation of the force bearing plate is amplified and transmitted to the equal-strength cantilever beam through the force transmission lever, deformation is converted into optical signals through the measuring optical fiber, and an anti-electromagnetic interference optical fiber measuring mode and an external collecting and demodulating technology are combined. Not only is small-size design and high sensitivity realized, but also interference on the original structure and stress distribution of the soil body is reduced, and the measurement precision in a complex rock-soil environment is improved.

The invention relates to a method and device for measuring pitch deviation based on a line laser sensor, and the method comprises the following steps: S1, calibrating the position of the line laser sensor, and obtaining the coordinate value of a coordinate system of the line laser sensor in a measurement coordinate system; s2, installing a tested gear; s3, adjusting the relative position of the line laser sensor and the measured gear; selecting a measured position in the tooth surface area of the gear teeth of the measured gear, adjusting the position of the line laser sensor, and recording the sum of the offset of the adjusted line laser sensor relative to the center of the measured gear along the x axis and the y axis in the effective measurement range of the line laser sensor at the measured position; s4, performing zero returning operation on the angle sensor of the rotating shaft of the tested gear; and S5, controlling the detected gear to rotate along the center line of the detected gear. According to the method and the device, the pitch deviation can be measured in a non-contact mode, excessive calibration and leveling are not needed before detection, and the measurement efficiency and the measurement precision are both improved.

The invention relates to the technical field of gas detection, in particular to a detection circuit based on an NTC thermistor and a heat conduction meter. The detection circuit based on the NTC thermistor comprises a main NTC thermistor which is suspended in air flow; the constant current source circuit is used for providing constant working current for the main NTC thermistor; the detection resistor is arranged between the main NTC thermistor and a ground node; the ADC sampling circuit is used for sampling analog voltages at two ends of the detection resistor into digital signals; the constant temperature adjusting circuit is used for controlling the magnitude of the current output by the constant current source circuit according to the voltage of the main NTC thermistor, so that the main NTC thermistor is kept at the target temperature; the temperature compensation circuit is used for detecting the temperature of the environment where the heat conduction measuring meter is located; and the processing unit is used for determining a detection result according to the digital signal and compensating the detection result according to the environment temperature. According to the detection circuit based on the NTC thermistor, the response speed and the measurement precision of measurement are improved.

The invention provides a multi-sensor cooperative stress-free three-dimensional body size measurement method and system for sheep, and belongs to the technical field of livestock breeding, and the method comprises the following steps: collecting the point cloud data of the sheep from multiple perspectives, and carrying out the preprocessing of the collected point cloud data; performing registration and three-dimensional reconstruction according to the preprocessed point cloud data to obtain a sheep three-dimensional point cloud model; performing point cloud repair and attitude correction on the three-dimensional point cloud model of the sheep to obtain a final three-dimensional point cloud model of the sheep; and inputting the three-dimensional point cloud model of the sheep into the trained deep learning model for semantic segmentation and key point detection, and measuring body size parameters of the sheep. According to the multi-sensor cooperative stress-free three-dimensional body size measurement method and system for the sheep, full-life-cycle automatic accurate measurement of body size parameters of the sheep is realized, so that manual intervention is reduced, the stress risk of the sheep is reduced, the measurement precision and efficiency are improved, and technical support is provided for intelligent breeding.

The invention belongs to the technical field of environmental monitoring, and particularly relates to a range adaptive detection method and system based on light source and gain cooperative adjustment. The method comprises the following steps: setting a detection system to be in a small-range working state; signal acquisition is carried out, and a signal value after analog-to-digital conversion is obtained; judging whether the signal value reaches a saturation threshold value or not; determining a combination of new light source intensity and new sensor gain according to a pre-stored calibration parameter table; adjusting the light source intensity of the detection system to Inew, and adjusting the sensor gain to Gnew; after adjustment, new signal acquisition and conversion are carried out to obtain a new signal value, a pre-stored calibration parameter table is inquired to obtain a corresponding compensation coefficient based on the currently used combination of Inew and Gnew, and a compensated real concentration value is calculated and output. According to the invention, the core contradiction that the measurement precision and the measuring range are difficult to consider in a wide concentration range in the traditional fixed-measuring-range detection technology is fundamentally solved.

The invention relates to the technical field of water vapor concentration detection, and discloses a water vapor concentration online detection method and system based on a multi-wavelength infrared absorption spectrum, and the method comprises the steps: controlling an infrared light source module to emit pre-modulated light, enabling the pre-modulated light to pass through a gas chamber module, inputting the pre-modulated light into a photoelectric detection module, and converting the pre-modulated light into a sample electric signal; acquiring temperature data and pressure data at a preset position of the air chamber module in real time; calculating to obtain an initial differential absorption signal by using the sample electric signal and combining a Lambert-Beer law; based on the temperature data and the pressure data, performing temperature and pressure dynamic compensation on the initial differential absorption signal by using a pre-stored compensation database to obtain a target differential absorption signal; and determining the water vapor concentration according to the target differential absorption signal. According to the invention, the effects of improving the measurement precision and the measurement stability of the water vapor concentration and measuring the water vapor concentration online in real time can be achieved.

The invention relates to the field of cavity ring-down, in particular to a cavity ring-down spectrum detection system and method, and the system comprises a detection unit, a gas path system, a constant temperature control unit and a control and processing unit. The gas path system can be used for filling inert protective gas into the ring-down cavity and maintaining a micro-positive pressure state in a non-measurement period of the detection system, so that external pollutants and water vapor are effectively prevented from invading, and lens pollution and internal adsorption are reduced; the constant-temperature control unit is used for carrying out overall temperature control on the ring-down cavity and the gas path system and inhibiting signal drift caused by water molecule adsorption / desorption; and the gas path system adopts a low-adsorption material, a dead-cavity-free structure and a low-leakage sealing joint, so that the memory effect and the leakage risk are further reduced. The invention also provides a corresponding detection method which comprises the steps of micro-positive pressure maintenance, constant temperature control, strong purification, sample measurement and the like. According to the system and the method, the measurement precision and the stability are remarkably improved, the maintenance frequency and the startup purging time are reduced, and the maintenance requirement is reduced.

The invention discloses an electrolyte cylinder curled edge measurement and defect detection device, and relates to the field of electrolyte cylinder detection. The detection table is arranged below the carrier plate, and the electrolyte cylinder is conveyed to the detection table through the carrier plate; the jacking mechanism is arranged on the detection table at the lower part of the carrier plate and comprises a plurality of groups of jacking rollers which are symmetrically arranged and a driving mechanism; when the electrolyte cylinder is conveyed to the position over, the electrolyte cylinder is jacked up from the carrying plate through the jacking rolling wheels, and a cylinder body of the electrolyte cylinder is lifted; the detection mechanism is mounted above the carrier plate through a bracket and comprises two groups of camera lenses, and the camera lenses are aligned to the curled edges on the two end surfaces of the electrolyte cylinder; when crimping images are shot, the driving mechanism drives the jacking roller to rotate, the electrolyte cylinder is driven to circumferentially roll at the position of the detection table, and the camera lens continuously shoots the crimping images of the two end faces of the electrolyte cylinder. The problems that traditional manual detection is low in efficiency and poor in precision are solved, and the device has the advantages that all-round continuous detection of the curled edge of the electrolyte cylinder is achieved, and the measurement precision and efficiency are improved.

A power transmission tower grounding resistance intelligent measurement method based on ground potential field distributed sensing comprises the steps that a ground potential sensing network is arranged around a power transmission tower grounding device, and a ground potential field distributed measurement system with an iron tower as the center is established; a broadband characteristic coding current signal is injected into the grounding system through a weak current injection module; acquiring potential response data of each node of the ground potential sensing network excited by the feature coding current signal by adopting a distributed synchronous acquisition technology, and reconstructing complete ground potential field spatial distribution from sparse node observation data based on a compressed sensing theory through a signal reconstruction algorithm; and inputting the reconstructed complete ground potential field spatial distribution map into a pre-trained map neural network model, and outputting an intelligent identification result and an anomaly diagnosis conclusion of the ground resistance. According to the invention, non-contact, distributed and high-precision grounding resistance measurement under the condition that a grounding lead does not need to be disconnected is realized, and the measurement precision and reliability under a complex working condition are remarkably improved.

The invention relates to a long-gap discharge leader development speed measurement method based on radiated electromagnetic wave detection. The method comprises a set of high-frequency antennas and a high-speed oscilloscope and a long-gap discharge leader development speed calculating method. The method adopts a certain antenna arrangement form; long-gap discharge radiated electromagnetic wave pulse time is detected simultaneously through the plurality of antennas; leader head position is positioned according to time difference of a signal arriving at different antennas; and furthermore, the long-gap discharge leader development speed can be calculated. The method can effectively improve the measurement precision of the discharge leader development speed, and resolution reaches the level of 0.1 ns.

The invention relates to the technical field of optical current transformer detection, and provides an optical current transformer real-time calibration and health diagnosis method and system, and the method comprises the steps: carrying out the harmonic analysis of an initial digital signal sequence obtained through the conversion of a continuous modulation optical signal of a target optical current transformer, and obtaining harmonic component data; physical state evaluation is carried out according to the higher harmonic component data and preset health state baseline data to generate a physical state evaluation result, nonlinear disturbance compensation is carried out according to an error control signal generated based on the higher harmonic component data, and after a linear working point is reached, nonlinear disturbance compensation is carried out; and calculating an electrical measurement value according to the output target fundamental component data, and performing comprehensive analysis according to the physical state evaluation result and the electrical measurement value to generate a diagnosis report. According to the invention, through a measurement calibration and state diagnosis mechanism based on harmonic analysis, while the electrical performance measurement precision is effectively improved, reliable quantitative diagnosis and accurate traceability of different physical faults in the equipment are realized.

The invention provides a three-coordinate measuring machine metering detection method and system, and relates to the field of three-coordinate measurement, and the method comprises the steps: obtaining the geometric model data of a to-be-measured workpiece, and analyzing the geometric model data to determine the local geometric features of the workpiece; according to the method, path information and measuring head attitude information used for measurement are generated according to local geometric features, and based on the path information and the measuring head attitude information, the contact condition of a measuring needle and the surface of the workpiece is simulated, so that the purity and reliability of a data source are remarkably improved, and the measurement data of which abnormal trigger signals are removed are accurately measured. Fine processing is carried out according to local geometric features to eliminate deviation in measurement data, geometric information of key geometric details of the workpiece is maintained, it is ensured that geometric information of key features such as tiny chamfers and sharp edges is not damaged, the accuracy, reliability and efficiency of the three-coordinate measuring machine in measurement and detection of the complex curved surface workpiece are improved, and the measurement precision is improved. The problem that the existing data acquisition efficiency is not high is effectively solved.