82 results about "Harmonic energy" patented technology

The invention relates to the technical field of online calibration, in particular to a multi-parameter fusion intelligent electric energy meter online calibration method and system, and the method comprises the following steps: collecting voltage waveforms, current harmonics and active power data, dividing windows, calculating a covariance matrix, and generating a feature set; a power factor curvature extreme value and a temperature inflection point offset are analyzed to generate an interference identifier, current density distribution and a voltage distortion spectrum are jointly analyzed to extract a harmonic energy ratio to generate a feature vector, and phase compensation is performed on a pulse sequence to generate a calibration instruction set. According to the method, the covariance matrix is constructed by synchronously collecting voltage and current power parameters, the abnormal mark section is generated by combining the temperature change and the covariance difference value, the environment disturbance and the real deviation are effectively distinguished, and the temperature hysteresis effect is identified through the power factor curvature extreme value and the temperature inflection point offset. And combining current density and voltage distortion spectrum analysis to extract a fundamental wave and harmonic wave energy ratio, establishing a composite calibration reference, and dynamically adjusting a pulse duty ratio to realize harmonic wave energy compensation.

The invention provides a mining circuit fault self-diagnosis method and system. According to the method, current and voltage waveforms and three-dimensional vibration signals of a cable are collected, and anti-interference data are generated through self-adaptive noise reduction and time sequence synchronization; a waveform interception window is dynamically adjusted based on the correlation between the mechanical vibration intensity and the current transient rate, the wave crest slope variable quantity is extracted from the current transient segment, high-frequency harmonic energy is separated from the voltage transient segment, time-frequency analysis is carried out on the vibration signal to extract an energy sudden increase frequency point, and a mechanical damage spectrum feature set is constructed; inputting the features into a space-time correlation model, and verifying space-time consistency of current distortion and voltage abnormity to generate composite features; dynamically correcting a fault threshold based on the environmental interference factor; and finally, a short-circuit peak or open-circuit oscillation diagnosis result is output according to the association strength of the electrical and mechanical characteristics. According to the invention, accurate fault self-diagnosis of the mining cable under a complex working condition is realized.

The invention relates to an intelligent power distribution harmonic monitoring and dynamic compensation system which comprises a monitoring unit, a correction unit and a compensation unit. The monitoring unit continuously collects high-frequency harmonic voltage and current data in a distribution line at a high sampling frequency, extracts transient harmonic components through wavelet packet transformation and empirical mode decomposition, and generates low-dimensional feature vectors based on sparse representation. And the correction unit decodes the low-dimensional feature vector, recovers harmonic time-frequency features, calculates a phase drift rate, predicts a harmonic propagation path and an accumulation node by combining real-time power distribution network topology construction and adopting a nonlinear dynamic prediction model, and generates a correction instruction when abnormality is detected. And the compensation unit adopts pulse sequence density modulation to dynamically adjust a compensation current phase according to the correction instruction, and meanwhile, an inductive coupling device is utilized to transfer harmonic energy to a low-risk node, so that harmonic voltage distortion of a target node is quickly recovered to a stable level in a fundamental wave period after early warning.

The invention discloses a gradient welding strength control method and system for a welded galvanized steel pipe for fire fighting, particularly relates to the technical field of welding automation control, and aims to solve the problem of abnormal welding seam strength gradient caused by instantaneous unbalance of an electric field and a thermal field during dynamic parameter switching in the prior art. Electromagnetic distortion characteristic quantity is extracted through frequency domain energy analysis, and thermodynamic offset state quantity is deduced in combination with a thermal diffusion trend; on the basis of frequency band correlation mapping of electromagnetic and thermodynamic parameters, thermoelectric cooperative imbalance levels are divided through mutual information entropy evolution, and a self-adaptive harmonic attenuation weight tuning instruction is generated; analyzing a mismatching relation between transient disturbance of an environment magnetic field and arc voltage modulation distortion in real time, dynamically generating a magnetic field compensation factor and reversely superposing the magnetic field compensation factor to a control instruction; and in combination with the matching degree of molten pool oscillation energy and a harmonic frequency spectrum, correcting wire feeding rate calibration, reconstructing a multi-band harmonic energy proportion spectrum, outputting an anti-interference welding control signal, and realizing dynamic balance between arc stability and molten pool heat input.

The invention particularly relates to a quartered sleep state monitoring method and a quartered sleep state monitoring system based on a non-contact vibration sensor. The quartered sleep state monitoring method and the quartered sleep state monitoring system are particularly suitable for realizing non-sensitive sleep quality evaluation through an intelligent bed in a family environment. Comprising the following steps that 1, vibration signals of a human body in the sleep process are continuously collected through a non-contact vibration sensor; step 2, preprocessing the vibration signal, including denoising and segmentation processing, to obtain time domain vibration data; step 3, performing frequency domain transformation on the time domain vibration data, and extracting frequency domain features including respiratory rate, heart rate and heart variability parameters; 4, time alignment is carried out on the frequency domain features and sleep staging labels synchronously obtained through a polysomnography, and a training data set is constructed; an XGBoost classification model based on time-frequency domain feature fusion is provided, fundamental frequency and harmonic energy proportions of respiratory signals are extracted through short-time Fourier transform, and quartering classification is achieved in combination with the LF / HF ratio of heart rate variability.

The invention discloses an intelligent peak regulation method with optimized combination of energy storage and conventional peak regulation means, and the method comprises the following steps: building a holographic situation awareness layer: capturing the voltage, current phase angle and frequency deviation of a power grid, and monitoring the pressure fluctuation in a diesel engine cylinder; data transmission and preprocessing: encrypting data of the miniature phasor measurement unit and the quantum sensor by using a quantum key distribution technology; the self-adaptive decision engine is used for performing Nash equilibrium calculation by utilizing a federal reinforcement learning architecture, through a local Agent based on a power generation / energy storage unit state autonomous optimization control strategy and in combination with a digital twin platform, solving multi-target conflicts of economy, reliability and carbon emission, and generating a global optimal scheduling instruction; the execution control layer is used for tracking resonance points and dispersing harmonic energy spectrums; dynamic topology reconstruction: a harmonic source is positioned by using a digital twin platform, and the topology of the energy storage system is automatically switched according to the harmonic frequency and position; continuously optimizing the digital twin platform; and full-process closed-loop feedback and self-learning are carried out.

The invention relates to the technical field of maglev motor dynamics and control, and discloses a bearingless asynchronous motor multi-frequency harmonic vibration cooperative suppression method, which comprises the following steps: acquiring radial displacement signals and mechanical angular velocity of a rotor in an x axis and a y axis under a stator fixed coordinate system, and stacking double-axis displacement signals into an observation vector; calculating a weighting coefficient of the normalized residual error through a Huber robust cost function, and outputting the amplitude, the phase and the confidence of each order of harmonic wave; estimating the total disturbance of the system by using a linear extended state observer with harmonic energy injection, wherein the total disturbance is obtained by weighted summation according to the confidence, order and mechanical angular velocity of each order of harmonic; calculating a feedback control force according to the total disturbance estimated value, and superposing the feedforward compensation force and the feedback control force to generate a total suspension force instruction; and according to the total suspension force instruction, inversely calculating a suspension winding current reference value and outputting a control instruction. According to the invention, a mutually complementary cooperative suppression mechanism is formed, and the suppression precision of multi-frequency vibration is improved.

The invention relates to the technical field of electrical engineering and intelligent fault diagnosis, and discloses a water pump motor fault diagnosis method and system based on current harmonic characteristics, and the method comprises the steps: collecting stator current, rotating speed and load signals; generating an alpha-beta current component through Clark transformation, constructing an analytic signal, extracting an instantaneous phase, and calculating an instantaneous frequency; a mapping relation is established in combination with the rotating speed, and the current signals are resampled to eliminate frequency dispersion; obtaining a high-resolution harmonic energy distribution diagram by adopting multi-scale synchronous compression wavelet transform; and extracting an energy concentration ratio, a peak offset and a bandwidth expansion coefficient in the characteristic frequency band, inputting the energy concentration ratio, the peak offset and the bandwidth expansion coefficient into the pre-trained multi-layer perceptron classifier, and outputting a fault type. According to the method, through high-precision time-frequency focusing and multi-dimensional feature fusion, the fault recognition accuracy and robustness are remarkably improved, and online diagnosis of multiple typical faults can be achieved only through current signals.

The invention discloses a method and device for preventing inverter harmonic waves from affecting operation of an electric energy meter, and the method comprises the following steps: a harmonic attenuation device is installed on an inverter line bus, and the harmonic attenuation device comprises an LC resonance circuit and a control circuit; dynamically matching the winding inductor and the safety capacitor based on the harmonic frequency spectrum characteristic of the inverter; a temperature sensing module is integrated on the body of each power resistor branch; the MCU microcontroller judges whether to trigger power resistor branch switching or not based on the temperature data and a preset temperature control strategy; after a relay switching action is triggered, a dynamic compensation strategy is generated to dynamically adjust inductance, capacitance and resistance topology so as to realize frequency stabilization and impedance matching; and executing closed-loop feedback optimization and health assessment based on the harmonic suppression effect after dynamic compensation and the system operation state. The invention has the following advantages and effects: the dynamic tracking of the LC resonant frequency on the harmonic dominant frequency is realized, and the thermal runaway problem of the harmonic energy absorption unit is synchronously solved.

The invention discloses a neutral line breakage detection and positioning method and system based on third harmonic energy characteristics, and the method comprises the steps: firstly, extracting the current and voltage of a load, calculating the third harmonic component through Fourier decomposition, obtaining the third harmonic energy through calculation, sequentially calculating the third harmonic energy ratio of two adjacent regions, and calculating the third harmonic energy ratio of the two adjacent regions; and comparing the calculated third harmonic energy ratio of each position with a set threshold value, and judging whether a neutral line breaking fault occurs or not and judging a line breaking position according to a result. According to the method, the neutral line breakage fault can be correctly distinguished and positioned, and the neutral line breakage detection capability is effectively improved.

The invention discloses a rotating machine fault diagnosis method based on an expansion residual network, and relates to the technical field of mechanical faults, and the method comprises the steps: collecting a continuous time sequence vibration signal of a rotating machine through an acceleration sensor, obtaining a high-order harmonic energy sequence set after fast Fourier transform, and determining an abnormal trend segment; then, obtaining and updating a structural anomaly candidate set based on the anomaly trend segment and the operating environment state of the rotating machine, generating a first drift vector set according to the updated structural anomaly candidate set, and identifying a structural offset section according to the first drift vector set and historical operating data; and backtracking the structural offset section to an original time domain signal to establish a second drift vector set, and finally, inputting the first drift vector set and the second drift vector set into the expansion residual network to analyze whether the rotating machinery is evolved into a fault state.

The invention relates to the technical field of power monitoring, in particular to an online monitoring method and system for a power control cabinet. The method comprises the following steps: acquiring a time domain signal, tracking a fundamental wave frequency, adjusting a sampling window, and performing Fourier transform to obtain a harmonic amplitude and a phase; harmonic waves are divided into harmonic wave correlation groups according to association rules, harmonic wave phase consistency coefficients are calculated to weight the total energy in the groups, and weighted harmonic wave energy is obtained; total inter-harmonic energy is calculated, and an inter-harmonic structure factor is obtained based on the spectral entropy. And acquiring a real-time load rate and a change rate, and calculating a synchronous change coefficient and a load factor. And summing the weighted harmonic energy and the corrected inter-harmonic energy to obtain total distortion energy, and obtaining a comprehensive distortion index according to the total distortion energy. According to the scheme, the structured inter-harmonics possibly caused by the early failure of the equipment can be found earlier, and the requirements of early warning and predictive maintenance are met.

The invention relates to the technical field of PWM (Pulse Width Modulation), and discloses a method for optimizing double random PWM, which comprises the following steps: randomizing a carrier frequency fc and a pulse position to obtain double random PWM, performing parameter setting on random distribution of the carrier frequency and the pulse position by adopting a Sigmoid function, improving a genetic algorithm by utilizing a particle swarm algorithm, and optimizing the double random PWM. Optimizing a minimum value fmin of a random number of a carrier frequency or a pulse position, a maximum value fmax of the random number of the carrier frequency or the pulse position and a curve transverse adjustment parameter sigma of random number Sigmoid distribution in the double random PWM by adopting an improved genetic particle swarm algorithm; according to the method, harmonic energy is dispersed from frequency and phase dimensions to a wider range through double random PWM, the switching frequency and the harmonic amplitude at the integral multiple of the switching frequency are reduced, random numbers are distributed in a Sigmoid mode, and the carrier frequency and the pulse position can more easily avoid a sensitive area by means of the nonlinear probability density characteristic that samples are more on the two sides and less in the middle, so that the switching efficiency is improved. And EMI peaks caused by extreme parameters in traditional uniform distribution are reduced.

The invention discloses a quantitative characterization method for micro-crack spatial distribution of a tight oil reservoir based on acoustic remote exploration, and relates to the technical field of tight oil reservoir exploration, and the quantitative characterization method comprises the following steps: acquiring inter-well and in-well original acoustic logging data and fracturing response data, and preprocessing; based on the preprocessed original acoustic logging data, detecting a harmonic component in a reflection signal through a multi-frequency superposition excitation signal, and calculating a harmonic energy ratio of a depth horizon by using a harmonic component result; based on the harmonic energy ratio of the depth horizon, a crack sensitivity index is extracted, and a micro-crack development area is identified; and based on the micro-fracture development area and the processed original acoustic logging data, constructing a fracture network model to obtain spatial distribution information of the micro-fractures. According to the method, on the basis of the preprocessed original acoustic logging data, the harmonic components in the reflected signals are detected through the multi-frequency superposition excitation signals, and high-precision detection of the formation micro-cracks is achieved.

The invention discloses a power distribution network reliability intelligent analysis method and analysis system, particularly relates to the technical field of power system fault detection, and is used for solving the problems of misjudgment and missed judgment caused by fault feature weakening and harmonic interference in a bidirectional power flow scene in an existing method. The method comprises the following steps: firstly, synchronously collecting fundamental wave and harmonic components of nodes of a power distribution network, extracting a current amplitude change rate and a phase offset by adopting time-frequency domain conjoint analysis, and generating dynamic distribution characteristics by combining harmonic energy clustering; identifying high-frequency interference components in a bidirectional power flow mode by quantizing a phase deviation direction and harmonic energy aggregation characteristics; based on a harmonic frequency band coupling effect and a current dynamic association relationship, an adaptive detection threshold function is constructed, and accurate separation of fault features is realized; and finally, combining a real-time fault judgment result with historical repair data to generate a reliability evaluation parameter. And the sensitivity of fault detection and the rationality of reliability evaluation in a complex operation environment are remarkably improved.

The invention discloses an up-mixing harmonic energy communication system and method based on direct-mixing intermodulation signal suppression. The communication system includes a receive antenna and an integrated rectified transmitter. The integrated rectified transmitter includes a first branch and a second branch. The invention provides an integrated rectification transmitter with a double-branch structure, an IM2 modulation module is arranged at the tail end of a first branch, and a 90-degree phase shift network is arranged at the head end of a second branch, so that uncontrollable IMD3 signals generated in the first branch and the second branch have a phase difference of 180 degrees and are mutually counteracted; in this way, only the upmixing IMU3 signal which can be controllably and accurately modulated in the first branch is reserved in the uploaded backscattering signal, and more accurate and reliable wireless energy cooperative information transmission is achieved. According to the invention, the frequency of the IM3 signal for communication is close to that of the input dual-tone signal, so that multiplexing can be realized by only needing a small bandwidth in the design of the receiving and transmitting antenna.

The invention discloses a photovoltaic power generation cabinet with a leakage protection function and a working method thereof, and relates to the technical field of leakage protection. Comprising the following steps that a leakage current dynamic reference model is established based on photovoltaic system operation environment parameters and historical data, and the environment parameters at least comprise illumination intensity, environment temperature and component open-circuit voltage; time domain, frequency domain and time-frequency domain joint analysis is carried out based on direct current side and alternating current side leakage current information, and multi-dimensional feature vectors including a waveform distortion rate, a high-frequency harmonic energy ratio and a transient energy entropy value are extracted; according to the method, the leakage current dynamic reference model based on the environmental parameters is constructed, the electric leakage risk can be accurately evaluated in real time in the operation of the photovoltaic system by means of time-frequency domain conjoint analysis and multi-dimensional feature vector extraction, differentiated protection strategies are automatically executed according to risk scores, and in order to improve the detection accuracy, the method is simple and convenient to operate. The system adopts self-adaptive notch filtering and FIR low-pass filtering, so that high precision can be kept even in extreme environments such as lightning surge and the like.

The invention relates to the technical field of motor control in the intelligent power grid industry, and discloses a space vector control method for a twelve-phase permanent magnet synchronous motor flywheel energy storage system, a control circuit of the flywheel energy storage system relates to power electronic components such as various semiconductor field-effect tubes, and the space vector control method is used for high-precision control of a motor. Comprising the steps of S1, twelve-phase space vector decoupling fault-tolerant control, S2, high-order harmonic energy recovery closed loop, S3, quantum annealing parameter optimization layer, S4, flux linkage adaptive observer network construction and S5, 18-dimensional switching vector table construction. According to the scheme, through multi-reference coordinate system transformation and a redundant phase reconstruction algorithm, rapid fault-tolerant response of the twelve-phase motor during a single-phase or two-phase fault is realized, a current path is dynamically recombined during the fault, a negative-sequence current compensation ring is combined, torque ripple is effectively suppressed, and the reliability of the motor is improved under a high-speed charging and discharging working condition. The harmonic distortion rate is detected in real time through the sliding window FFT, the bandwidth of the controller is adjusted, and the problem that the dynamic response of a traditional fault-tolerant strategy is insufficient is solved.

The invention relates to the technical field of fault prediction, in particular to a robot finger test method and system based on a robot, and the method comprises the following steps: synchronously collecting a phase current time sequence signal and an injected ultra-wideband pulse reflection signal at a servo motor drive output end of a robot finger, carrying out the alignment according to a collection timestamp, and carrying out the detection of the phase current time sequence signal; a pair of original timing electrical signals is generated. According to the invention, a phase current time sequence signal reflecting mechanical load characteristics and an ultra wide band pulse reflection signal actively detecting electrical link integrity are synchronously acquired at a driving output end of a servo motor, a multi-dimensional and information-complementary original electrical signal pair is constructed, and a phase current signal is processed to separate current ripples. And transmission harmonic energy distribution directly related to mechanical motions such as meshing of a reduction gear and rotation of a motor is extracted, so that non-intrusive quantitative evaluation of the health state of the internal transmission system of the robot finger is realized.

The invention discloses a howling detection method and device for an active noise reduction system, a chip and equipment, and the method comprises the steps: respectively obtaining time domain audio frames collected by an error microphone and a reference microphone in a time domain; extracting a main frequency point position, a main frequency energy value and a harmonic wave energy value; generating a preliminary flag bit based on the dominant frequency energy growth trend and harmonic existence of the error microphone and the energy of the reference microphone; generating a mistaken touch elimination flag bit based on the proportion of the dominant frequency of the error microphone to the second-order harmonic energy; generating a distortion protection flag bit based on the time domain signal saturation of the error microphone; and performing logic AND operation on the preliminary flag bit, the false touch elimination flag bit and the distortion protection flag bit, and when the logic AND operation result is true, determining that the current audio frame generates howling. The environmental noise misjudgment rate is reduced through a dual-microphone cooperation mechanism, the limitation of traditional single-stage detection is broken through through the logic of three-stage flag bits and the cooperation mechanism, and the detection accuracy is improved.

This invention provides a non-destructive testing method and apparatus for defects in ferromagnetic pipes, belonging to the field of pipe inspection. The method includes: acquiring a voltage signal, which is obtained by converting the capacitance change signal continuously collected by the bipolar capacitor as the ferromagnetic pipe and the upper and lower semi-circular bipolar capacitor move at a constant axial velocity relative to each other; extracting time-domain and frequency-domain features from the voltage signal; and determining the defect type and location based on the voltage signal and the extracted features. The extracted features include time-domain and frequency-domain features; the time-domain features include the signal standard deviation, coefficient of variation, and density of local extrema; and the frequency-domain features include the dominant frequency component and harmonic energy ratio. This method utilizes the physical property that the dielectric constant of a ferromagnetic pipe differs depending on whether it has defects or not, enabling the detection of defects deep within the component. It effectively avoids interference from various environmental electromagnetic noises, ensuring the accuracy of the detection results, and eliminates the need for point-by-point scanning, resulting in higher detection efficiency.

The invention discloses a magnetic particle imaging method based on multi-harmonic energy-full width at half maximum combined weighting, which comprises the following steps: acquiring point spread functions of a plurality of harmonic waves with different frequencies of magnetic nanoparticles, and constructing a corresponding system matrix; measuring a reference sample which does not contain the magnetic nanoparticles, and obtaining a plurality of noise matrixes corresponding to harmonic waves with different frequencies; measuring the sample to be measured, and obtaining magnetization response voltage vectors of a plurality of harmonic waves with different frequencies; respectively calculating an energy two-norm of a system matrix, an energy two-norm of a noise matrix and a full width at half maximum of a point spread function of the system matrix and the noise matrix; splicing the magnetization response voltage signals of each harmonic system matrix to form a total system matrix and a total measurement signal vector; calculating a weight factor of each harmonic wave and forming a weight matrix; and constructing a solution equation of the particle concentration distribution of the sample to be detected, and carrying out iterative solution on the solution equation to obtain a particle concentration distribution image of the sample to be detected. According to the invention, efficient utilization of multi-harmonic information is realized.

The application discloses a bearing composite fault diagnosis method and system, first, a bearing composite fault vibration observation signal is acquired; then, the observation signal is subjected to short-time Fourier transform and cepstrum threshold processing, two-dimensional time-frequency mask blind source separation, inverse short-time Fourier transform is performed on the obtained time-frequency domain separation signal and band-pass filtering is performed, independent time domain estimation signals are obtained; then, the estimation signals are subjected to Hilbert envelope demodulation and Fourier transform, envelope spectra of the filtered signals are obtained; finally, each order characteristic frequency band of a target fault is searched, a harmonic energy impact index is constructed, and an impact pulse value is calculated; the calculated impact pulse value is compared with a threshold value, and whether the bearing has a target type fault is diagnosed.

This application provides a PWM control method for avoiding eddy current losses in LED power supply cores, comprising: generating a basic modulation sequence from an asymmetric pulse width modulation chaotic mapping; extracting the main frequency bands of harmonic energy distribution of the basic modulation sequence; determining the degree of overlap between the main frequency bands of harmonic energy distribution and the expected position range; if the overlap ratio exceeds a preset threshold, activating a frequency avoidance mechanism; comparing the spectrum of the offset modulation sequence with that of the basic modulation sequence to determine the degree of preservation of spectrum broadening characteristics and the change in energy distribution; if the degree of preservation of spectrum broadening characteristics is lower than a preset preservation range, reducing the offset and re-executing the frequency avoidance mechanism; and feeding back ripple data and temperature increments collected during actual operation to the sensitive interval prediction model to update the internal state of the sensitive interval prediction model.

The present application relates to the technical field of sealing test, and specifically to a sealing test method and system for a tubular falling film evaporator, the method comprising: determining the harmonic energy intensity of any frequency to be analyzed based on all suspected fundamental frequencies of any frequency to be analyzed, and the energy amplitudes of all suspected fundamental frequencies at the same frequency corresponding to the frequency spectrum of a normal flow rate signal; and determining the harmonic credible weight in combination with the extreme distribution of the harmonic energy intensity of all frequencies to be analyzed; determining the velocity attenuation characteristic value of the tubular falling film evaporator based on the discrete degree of all elements in the attenuation characteristic sequence, and the average distribution of all elements in the velocity attenuation sequence, and testing the sealing of the tubular falling film evaporator. The present application improves the accuracy of sealing detection of a tubular falling film evaporator by extracting features from velocity monitoring data.

The invention discloses a cast-in-place concrete structure full-period maintenance system combined with cloud gateway data transmission, and relates to the technical field of building construction, the cast-in-place concrete structure full-period maintenance system comprises a three-field coupling modeling module, a cavity resonance recognition module, a spraying posture surveying and mapping module, an anti-harmonic energy regulation and control module and a self-adaptive spraying control module, in the nighttime temperature drop stage, a fluid, bubble and pipe wall three-field coupling model is constructed, a backflow wave path, bubble compression response and pipe wall elastic reflection characteristics are extracted through time domain decomposition, and dynamic baseline data are generated. Through coupling modeling and resonance recognition, spraying deviation monitoring and blind area prediction are achieved, a spraying posture closed-loop adjusting mechanism is constructed in combination with anti-resonance injection and self-adaptive control, the maintenance uniformity and reliability are improved, the crack risk is reduced, and the service life of the structure is prolonged.

The invention provides a nondestructive detection method and device for ferromagnetic pipeline defects, and belongs to the field of pipeline detection.The method comprises the steps that voltage signals are obtained, and the voltage signals are obtained by converting capacitance change signals continuously collected by bipolar plate capacitors when a ferromagnetic pipeline and upper and lower semi-arc bipolar plate capacitors move relatively at a constant speed in the axial direction; extracting time domain features and frequency domain features of the voltage signals; according to the voltage signals and extracted features, determining defect types and defect positions, the extracted features including time domain features and frequency domain features; the time domain feature comprises a signal standard deviation, a variable coefficient and a local extreme point density, and the frequency domain feature comprises a dominant frequency component and a harmonic energy ratio. According to the method, by utilizing the physical characteristics that the dielectric constants of the ferromagnetic pipeline are different in different states with or without defects, the defects penetrating into the component can be detected, interference of electromagnetic noise in various environments is effectively avoided, the accuracy of the detection result is ensured, point-by-point scanning is not needed, and the detection efficiency is higher.

The invention provides a Chinese lute string fundamental frequency determination method and system, and the method comprises the steps: carrying out the time-frequency conversion of an audio signal, extracting a spectrum peak value, carrying out the energy weighting of the peak value according to a preset harmonic attenuation function, setting a candidate fundamental frequency set, constructing a preliminary harmonic cluster based on an initial non-harmonic coefficient, selecting a cluster with the highest energy, and calculating a real-time non-harmonic coefficient; and reconstructing candidate harmonic clusters according to the coefficient, and evaluating each harmonic cluster from two aspects of harmonic energy continuity and time domain correlation: calculating the sum of harmonic energy and combining with missing penalty to obtain an energy continuity score, and obtaining a time correlation score through a time cross-correlation mean value of fundamental frequency and each harmonic component energy envelope; and a comprehensive score is obtained after weighted summation.

This application relates to a traction control system method, device, controller, and medium. The method includes: during the starting process of a target vehicle, acquiring the wheel speed, tire pressure, vehicle deceleration, and torque output of the target vehicle within the current control cycle; acquiring the fundamental oscillation frequency based on the tire pressure, vehicle deceleration, and road surface adhesion coefficient, and acquiring the wheel phase spectrum signal based on the wheel speed; acquiring the harmonic frequencies and harmonic energies of multiple harmonics based on the fundamental oscillation frequency and the wheel phase spectrum signal, and obtaining the harmonic energy ratio; if the harmonic energy ratio or the vehicle speed within the current control cycle meets preset conditions, acquiring the torque output control gain coefficient based on the harmonic energy ratio, vehicle speed, and target harmonic frequency; and generating a torque output control command based on the torque output control gain coefficient and torque output data. This method can improve the suppression effect of vibration divergence.

The invention discloses a concrete pouring process monitoring method and system based on multi-source data, relates to the field of intelligent monitoring, and particularly relates to the following steps: carrying out semantic segmentation and positioning on a pouring area and a vibrating rod by using a visible light video, and constructing an accurate space mask; meanwhile, the key vibration frequency is extracted from the vibration signal. On the basis, a vibration phase-locked thermal imaging technology is applied, the vibration frequency is used as a phase-locked reference, and harmonic energy transfer gain characteristics with the same frequency as vibration are extracted from a thermal infrared image sequence. And then temperature field uniformity evaluation is carried out by fusing the spatial position and the energy transfer characteristics, so that quantitative visualization of the concrete pouring quality is realized, and the technical problem that whether quality defects such as voids and pitted surfaces exist in the concrete or not cannot be judged only by means of surface visual characteristics is effectively solved.