94 results about "Instantaneous phase" patented technology

The invention discloses an abnormity monitoring method and system for a digital pressure transmitter, and relates to the technical field of transmitter monitoring, and the method comprises the following steps: obtaining an original pressure response sequence in a high-frequency pressure pulsation environment, and synchronously recording a sampling clock pulse sequence in an acquisition process, establishing double-track mapping based on the original pressure response sequence and the sampling clock pulse sequence, and forming an input condition with a unified time baseline; and performing instantaneous phase difference extraction on the double-track mapping on the unified time base line. Through double-track mapping, phase difference extraction and nonlinear cross spectrum reconstruction, the stroboscopic aliasing risk is quantified and recognition in advance is realized, and the sensitivity and accuracy of abnormal monitoring of the digital pressure transmitter are improved; meanwhile, the multi-scale risk amplification and reversible time-frequency rearrangement technology is combined, covered high-frequency components are separated and recovered, a real pressure pulsation curve is output after dynamic correction, continuous and stable monitoring is guaranteed, and pressure measurement reliability and operation safety are improved.

The invention provides a real-time electroencephalogram phase locking closed-loop stimulation method and system, and relates to the technical field of electroencephalogram signal processing. The method comprises the following steps: firstly, acquiring a cortex electrical activity signal and establishing a baseline statistic, then carrying out causal band-pass filtering on the signal, and carrying out sampling and holding substitution in a stimulation artifact window; setting an amplitude and a duration threshold based on the baseline, and performing phase judgment after conditions are met; estimating an average period through zero crossing and calculating an instantaneous phase; outputting a trigger instruction when the three-point crossing judgment is established; and outputting stimulation under the constraint of charge balance and a safety limit value, setting a minimum prohibition period and link abnormity suppression, and recording a hit rate and a response rate for quality evaluation. According to the method, through causal phase estimation, artifact isolation and a schedulable triggering mechanism, the high hit rate of non-stationary signal phase locking stimulation is achieved, and the safety and effectiveness of a stimulation system are ensured.

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 provides a cast-in-place pile quality online monitoring method and system based on an ultrasonic array, and the method comprises the steps: transmitting and receiving ultrasonic waves through the ultrasonic array arranged in a cast-in-place pile, and obtaining a multi-channel sound wave signal; performing generalized S transformation processing on the multichannel sound wave signals to obtain a time-frequency matrix, and calculating a cross correlation coefficient between each channel signal and the defect-free reference signal; an amplitude matrix and an instantaneous phase gradient matrix are calculated based on the time-frequency matrix, neighborhood amplitude energy and a phase consistency factor are fused in a time-frequency domain, and a defect energy indication diagram of the pile body section is generated; calculating the energy entropy of the defect energy indication diagram in a full frequency band; and extracting an actually measured energy arrival time sequence, comparing the actually measured energy arrival time sequence with a theoretical arrival time sequence to construct a space distortion vector, and setting a threshold value by combining energy entropy to judge defects.

The invention discloses a real-time wave number space resampling method and system for SS-OCT, and relates to the technical field of signal processing, and the method comprises the steps: synchronously collecting a K clock signal and an OCT interference signal, and carrying out the filtering preprocessing of the signals; carrying out Hilbert transformation on the preprocessed K clock signal, constructing an analysis signal, extracting an instantaneous phase, and forming an instantaneous phase sequence; using a preset ideal equal wave number interval phase sequence as a target phase sequence, matching the target phase sequence with the instantaneous phase sequence, calculating a corresponding position index of each target phase in the instantaneous phase sequence, and obtaining a remapping sampling point index; and processing the preprocessed OCT interference signal by using an SINC interpolation method according to the remapping sampling point index to obtain an OCT signal which is subjected to resampling and has equal wave number intervals. According to the invention, the SINC interpolation algorithm is utilized to complete resampling in real time and with high precision in the data acquisition stage, and the requirement of high-speed real-time imaging is met.

The invention belongs to the technical field of rotating machinery signal processing, and discloses a multi-shafting rotating machinery rotating speed estimation method based on a displacement vibration signal, and the method comprises the steps: collecting the displacement vibration signal, and carrying out the short-time Fourier transform to obtain a time-frequency distribution matrix; screening out a safety harmonic set of each shafting based on the estimated rotating speed range; calculating a definition evaluation value of each safety harmonic wave and selecting an optimal harmonic wave as a target tracking harmonic wave; constructing a cost function fusing amplitude and frequency abrupt change penalty, and performing ridge line tracking in the local time-frequency matrix after noise reduction to obtain a preliminary estimation time-frequency curve; and constructing a demodulation phase function based on the curve, performing generalized demodulation and narrow-band filtering on an original signal, extracting a pure harmonic component, and finally reconstructing a final rotating speed curve of a corresponding shaft system through instantaneous phase differential. According to the method, high-precision and anti-interference decoupling and estimation of the rotating speed of each shafting under a strong interference background are realized.

The application provides an underground cable identification method and system, and belongs to the technical field of underground pipe network detection and electromagnetic measurement. K The application comprises the following steps: synchronously acquiring physical channel signals in a space at an offset position directly above a target cable, constructing a three-dimensional magnetic field gradient tensor, and solving the gradient tensor to obtain a transverse attenuation gradient feature; a tensor fusion is performed on one intrinsic modal component generated by each physical channel to construct a high-latitude space-time joint observation matrix, and independent source signal components are mapped from the space-time joint observation matrix; a pure target intrinsic active signal is acquired from the output source signal components; a three-dimensional heterogeneous feature flow matrix is obtained by splicing the transverse attenuation gradient feature, the standard deviation of the instantaneous phase, and the harmonic distortion rate of the spectrum according to time steps; deep feature extraction and classification are performed on the continuously obtained three-dimensional heterogeneous feature flow matrix to acquire a confidence probability that a detection object in a current sliding time window belongs to the target cable.

The application belongs to the technical field of structural health monitoring, and particularly relates to a load compensation method for guided wave damage monitoring signals. The method comprises the following steps: step one, obtaining a baseline signal before monitoring starts and a current signal after monitoring starts; step two, calculating a time delay when a maximum absolute value of a cross-correlation function of the baseline signal and the current signal is obtained; step three, calculating instantaneous phases of the baseline signal and the current signal; step four, constructing a local distance matrix according to the time delay and the instantaneous phases; step five, constructing a global distance matrix according to the local distance matrix; step six, determining an optimal regular path in the global distance matrix through a backtracking algorithm; and step seven, completing phase load compensation of the current signal to the baseline signal according to the optimal regular path. The application overcomes the deficiency of the existing guided wave signal load compensation method that requires data samples to determine model parameters, can quickly determine load compensation parameters, and is suitable for practical engineering applications.

The invention discloses an OCT (Optical Coherence Tomography) broadband spectrum nonlinear interference signal wave number calibration and depth reconstruction method, which comprises the following steps of: acquiring a nonlinear sampling broadband spectrum interference signal of a single-layer reflector by utilizing frequency domain OCT, removing a direct current item and noise, performing continuous wavelet transform on the signal by taking Morlet complex wavelet as a generating function, detecting and extracting a wavelet ridge line through a wavelet modulus maximum value, and reconstructing the depth of the nonlinear sampling broadband spectrum interference signal. Obtaining an instantaneous phase and converting the instantaneous phase into wave number information, and constructing a nonlinear Fourier transform matrix by using the wave number information; and testing a to-be-tested target by using the frequency domain OCT to obtain a broadband spectrum interference signal, carrying out direct current item removal and noise treatment, and then carrying out calculation by using the constructed nonlinear Fourier transform matrix to obtain reflectivity information of the to-be-tested target at different depths. According to the method, the problem of nonlinear sampling of the broadband spectrum interference signal in the frequency domain OCT is solved, and high-precision wave number calibration and accurate recovery of nonlinear sampling interference signal depth information are realized.

The invention provides a Sigmoid modulation phase correlation surface wave full waveform inversion method and system. The method comprises the following steps: acquiring a surface wave seismic record and constructing an initial S wave velocity model; performing forward modeling to generate a synthetic record; calculating instantaneous phase correlation of observation and synthetic records to construct an amplitude-independent target function; modulating the target function by using a Sigmoid function, and mapping the value of the target function to a predetermined interval; and calculating a gradient based on the modulated target function and iteratively updating the speed model until a termination condition is met, and outputting a final model. According to the method, the smooth saturation and bounded output characteristics of the Sigmoid function are utilized, the target function response is converted into a self-adaptive gradient scaling mechanism, a self-stabilization optimizer is introduced for the inversion process, and the convergence domain is widened by applying smooth constraint, so that the dependence on the initial model precision is reduced, and the first success rate and the result reliability of inversion under complex conditions are improved.

This application belongs to the field of rotating machinery signal processing technology, and discloses a method for estimating the rotational speed of multi-axis rotating machinery based on displacement vibration signals. The method involves acquiring displacement vibration signals and performing short-time Fourier transform to obtain a time-frequency distribution matrix; selecting a safe harmonic set for each axis system based on the estimated rotational speed range; calculating the sharpness evaluation value of each safe harmonic and selecting the optimal harmonic as the target tracking harmonic; constructing a cost function that fuses amplitude and frequency mutation penalties; performing ridge tracking in the denoised local time-frequency matrix to obtain a preliminary estimated time-frequency curve; constructing a demodulation phase function based on this curve; performing generalized demodulation and narrowband filtering on the original signal to extract clean harmonic components; and finally reconstructing the final rotational speed curve of the corresponding axis system through instantaneous phase differentiation. This method achieves high-precision, anti-interference decoupling and estimation of the rotational speed of each axis system under strong interference conditions.

This invention relates to the field of balance assessment, and more specifically, to a method for assessing the dynamic balance performance of micro fan blades. The method includes: reconstructing a high-precision instantaneous phase sequence using Hall signals and performing a two-stage fitting: first, identifying interference frequencies through preliminary fitting; then, constructing a hybrid domain full-basis matrix containing rotor phase basis and time-domain interference basis, and globally fitting the original vibration signal to achieve accurate separation of the target signal and interference. Finally, calculating the unbalance amplitude from the fitting coefficients and calculating the goodness of fit to quantify the assessment measurement confidence. This invention effectively mitigates speed fluctuations, separates interference, and performs self-verification, significantly improving the accuracy and reliability of the assessment.

The application discloses a micro-grid island detection method and system, electronic equipment and a storage medium, comprising: phase-locked processing of a three-phase voltage signal, obtaining an instantaneous phase sequence and constructing a phase increment fluctuation sequence; the numerical distribution probability of the phase increment fluctuation sequence in a preset sliding time window is counted, and a phase fluctuation dynamic entropy value is calculated. The active power signal of the point of common coupling is extracted, the active power fluctuation rate sequence is constructed, and the power fluctuation dynamic entropy value is calculated based on the sliding time window; according to the moving average value of the entropy value in the historical time period, the phase fluctuation determination threshold and the power fluctuation determination threshold are updated. When the voltage amplitude and frequency of the point of common coupling are both in the preset normal operation interval, if the phase fluctuation dynamic entropy value is greater than the phase fluctuation determination threshold or the power fluctuation dynamic entropy value is greater than the power fluctuation determination threshold, it is determined that the island effect occurs, and a trip control signal is output. The application can eliminate the power balance blind area and has strong noise resistance.

The invention discloses a method for solving a signal instantaneous phase standard deviation, and the method comprises the steps: solving an instantaneous phase of a non-weak signal segment through setting a reasonable amplitude judgment threshold, carrying out the unwinding of the non-weak instantaneous phase through setting a reasonable unwinding threshold, solving a linear coefficient through linear fitting, calculating a residual carrier frequency offset value, and correcting original IQ data. And finally, fitting the sequence again to obtain a linear component, subtracting the linear component from the nonlinear component instantaneous phase sequence again, performing secondary linear component removal on the nonlinear component instantaneous phase sequence, and calculating a standard deviation through a standard calculation formula to obtain a non-weak signal segment. And obtaining the standard deviation of the instantaneous phase. According to the method, the instantaneous phase linear component of the amplitude modulation signal can be completely removed, and meanwhile, compared with an existing scheme, the problem of excessive unwrapping can be effectively solved in terms of instantaneous phase removal linear components of phase modulation and frequency modulation signals.

The application provides a magnetic valve type static synchronous compensator fault diagnosis and state monitoring method and system, relates to the technical field of state monitoring of a compensator, and extracts a dynamic sensitivity characteristic value by calculating a derivative of instantaneous phase angle distortion and combining a nonlinear sensitivity amplification term; extracts a vibration energy characteristic value based on body vibration acceleration and a high-frequency impact penalty term, realizes accurate characterization of electromagnetic and mechanical two-dimensional characteristics, orthogonally maps the above cross-domain characteristics and connects them in time sequence, constructs a two-dimensional time sequence trajectory mapping set, and intuitively represents an electromechanical coupling dynamic evolution process; in combination with a safety boundary, intercepts an out-of-bound trajectory segment, solves a tortuosity and a return parameter, accurately filters power grid transient interference by using a two-channel logic of a phase space topological form, realizes high-sensitivity diagnosis and reliable isolation of a substantial internal fault of the compensator.

The application discloses a signal detection and identification method, comprising the following steps: S1, determining the specific specification of the signal to be detected and identified; S2, extracting the signal characteristics of the signal with the specific specification; S3, distinguishing the signal bandwidth and signal type on the frequency point based on the signal characteristics; S4, locating the accurate burst starting position based on the instantaneous phase curve of the signal or the unique code information of the signal; accurately determining the end position of each burst based on signal demodulation or the frame structure of the signal; S5, counting the repetitive characteristics of the burst starting position, and calculating the frequency offset and / or signal-to-noise ratio information of the signal based on the repetitive characteristics. The corresponding system, electronic equipment and computer readable storage medium are also disclosed, which can detect the target digital signal under the condition of noise packets and other interference, and the accuracy reaches within one symbol error of 98% or above, and the modulation, symbol rate and related information characteristics of the target signal are extracted.

The application relates to an artificial intelligence-based fault interpretation method, which comprises the following steps: converting three-dimensional seismic data into instantaneous phase bodies (S1); intercepting a plurality of instantaneous phase profiles perpendicular to the strike of a fault indication (S2); extracting phase points from each instantaneous phase profile at a certain phase interval, and assigning natural numbers to the points of different phases (S3); determining an interpretation point extraction distance A by using an iterative method according to the distance between two points with the same value (S4); extracting the points with the same value as the condition of meeting the distance A, and connecting the extracted points by lines to obtain a stratum interpretation line (S5); determining a breakpoint extraction distance B by using an iterative method according to the distance between the breakpoints of two different stratum interpretation lines (S6); extracting the breakpoints of each stratum interpretation line as the condition of meeting the distance B, and connecting the extracted breakpoints by lines to obtain a fault plane interpretation line (S7); and splicing the fault plane interpretation lines of each instantaneous phase profile to obtain a three-dimensional model of the fault (S8).

The invention discloses a cable three-phase unbalanced current detection method based on phase difference, and relates to the field of current sensing, and the method comprises the steps: carrying out the synchronous collection of three-phase current signals of a cable, and carrying out the preprocessing of the collected signals; an improved Hilbert-Huang transform method is adopted, and the instantaneous phase of each phase of current is extracted from the preprocessed three-phase current signals; calculating an instantaneous phase difference between any two phases based on the extracted instantaneous phase of each phase of current, and determining a three-phase current balance state of the cable according to the instantaneous phase difference; when it is judged that the three-phase instantaneous phase difference is in the unbalanced state, the fault type is recognized according to the abnormal mode of the three-phase instantaneous phase difference, corresponding fault response operation is executed, self-adaptive weighted fusion phase extraction of the multi-component signals is achieved through an improved Hilbert-Huang transform method, and the fault detection accuracy is improved by combining instantaneous phase difference calculation and abnormal mode recognition. And high-precision and high-real-time online detection and fault type discrimination of the three-phase imbalance state of the cable are realized.

Embodiments of the present application provide a method and device for obtaining geological layer bio-reef information and a storage medium. The method comprises: obtaining a frequency range of a geological layer to be measured; dividing the frequency range into a first frequency band, a second frequency band and a third frequency band from low to high; performing band filtering on different frequency bands respectively to obtain energy focused seismic data of different frequency bands; calculating energy focused instantaneous phase data of the energy focused seismic data of different frequency bands respectively; fusing the energy focused instantaneous phase data of different frequency bands to obtain fused data; and determining bio-reef information of the geological layer to be measured by using the fused data. The method realizes fine characterization of the shape contour and internal structure details of the bio-reef.

The invention discloses a three-way orthogonal coil receiving and signal merging method and a three-way orthogonal coil receiving and signal merging system for a rotary permanent magnet mechanical antenna, and belongs to the field of magnetic induction communication. The method comprises the following steps: performing analog conditioning and analog-to-digital conversion on received magnetic induction signals in each space direction, performing Hilbert transform on digital signals in each space direction, extracting instantaneous phase information of each channel, and obtaining complex signals in each space direction; and performing amplitude and phase coherence degree estimation on the complex signals in each spatial direction, determining a weight coefficient of each spatial direction based on the coherence degree between the complex signals in each spatial direction, and combining the complex signals in each spatial direction based on the weight coefficient of each spatial direction to obtain a combined signal. The signal amplitude of a receiving end signal is effectively improved, the signal-to-noise ratio is improved, and the direction robustness and the communication reliability of the system in a complex environment are enhanced.

This invention discloses a real-time wavenumber spatial resampling method and system for SS-OCT, relating to the field of signal processing technology. The method involves simultaneously acquiring a K-clock signal and an OCT interferometer signal, and performing filtering preprocessing on each. The preprocessed K-clock signal is then subjected to a Hilbert transform to construct an analytical signal and extract the instantaneous phase, forming an instantaneous phase sequence. A preset ideal equal-wavenumber interval phase sequence is used as the target phase sequence. The target phase sequence is matched with the instantaneous phase sequence, and the position index of each target phase in the instantaneous phase sequence is calculated to obtain the remapped sampling point index. Based on the remapped sampling point index, the preprocessed OCT interferometer signal is processed using the SINC interpolation method to obtain a resampled, equal-wavenumber interval OCT signal. This application utilizes the SINC interpolation algorithm to perform real-time, high-precision resampling during the data acquisition stage, meeting the requirements of high-speed real-time imaging.

The application discloses a high-precision instantaneous frequency inversion method of continuous instantaneous phase, relates to the technical field of data processing, and comprises the following steps: S1, inputting a real signal, processing, and acquiring a frequency spectrum; S2, acquiring an analytic signal based on the frequency spectrum; and S3, using high-precision instantaneous frequency inversion based on polynomial fitting based on the analytic signal to obtain a final polynomial fitting high-precision instantaneous frequency. The application can remove periodic jumps in the instantaneous phase obtained by Hilbert transform and arctangent function, thereby obtaining a continuous instantaneous phase in which the phase periodic jump is eliminated and a monotone increasing continuous instantaneous phase used for high-precision instantaneous frequency inversion.

This application provides a PM-BPSK signal demodulation method, apparatus, and electronic device based on error decoupling. The method includes: acquiring the PM-BPSK signal to be demodulated; performing time-frequency analysis on the PM-BPSK signal using continuous wavelet transform, extracting the wavelet coefficient sequence of the subcarrier neighborhood, and performing circular mapping on its instantaneous phase to obtain the subcarrier phase time-frequency characteristics composed of cosine and sine components; performing decarrier and phase differential processing on the PM-BPSK signal, compensating for the dominant frequency offset based on circular mean, and then orthogonally projecting it with the subcarrier reference signal to obtain phase difference domain phase-locked features; extracting the main channel data from the subcarrier phase time-frequency characteristics and extracting the main channel data from the phase difference domain phase-locked features, and splicing them according to the channel dimension to form a dual-channel fusion feature; inputting the dual-channel fusion feature into a signal demodulation model and outputting a demodulated bit sequence. This application achieves highly robust and high-precision demodulation of PM-BPSK signals, providing a novel technical solution for non-cooperative communication.

This invention discloses a method, system, and device for detecting weak seismic signals based on instantaneous phase analysis, relating to the field of reservoir prediction. The method includes: 1. Inputting a three-dimensional seismic data volume; 2. Extracting the amplitude data of the current seismic trace and recording it as a one-dimensional array; 3. Performing a -90° phase shift on the one-dimensional array to obtain a phase shift array; 4. Performing a time-frequency continuous wavelet transform on the phase shift array to obtain multiple common-frequency amplitude arrays; 5. Performing a Hilbert transform on each common-frequency amplitude array to obtain the corresponding instantaneous phase array; 6. Calculating the second derivative of each instantaneous phase array with respect to the time variable n to obtain a three-dimensional data volume indicating weak signals at the current seismic trace's common frequency; 7. Changing the seismic trace and repeating steps 2-6 to obtain multiple three-dimensional data volumes indicating weak signals at the common frequency; 8. Selecting the optimal weak signal indicator data volume. This invention can effectively find the three-dimensional data volume indicating weak signals, improving the accuracy of detection.

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

The application relates to the technical field of data processing, and discloses a hydrological climate element history sequence reconstruction method based on multi-layer nested coupling, which comprises the following steps: unifying the time resolution of multi-source substitute data and observation sequences; performing adaptive noise complete ensemble empirical mode decomposition, recombining to generate high-frequency layer and low-frequency layer control sequences; calculating cross wavelet power spectrum, extracting instantaneous phase difference sequences and wavelet square coherence sequences; constructing a nested coupling regression benchmark model, calculating dynamic high-low frequency regression coefficients and generating a two-dimensional system lookup table; using the two-dimensional system lookup table to obtain regression coefficients of a history period, combining with coherent logic gate control sequences generated by the wavelet square coherence sequences to process distorted data, and outputting reconstructed sequences. The application isolates the interference of signals of different frequency bands, adapts to the time-varying properties of climate system parameters, and improves the reconstruction quality of long-term trends and short-term fluctuations.

The invention discloses a feature extraction and identification method for a radio frequency signal of an unmanned aerial vehicle, and belongs to the technical field of radio signal monitoring and signal identification. The method comprises the following steps: constructing a cyclic autocorrelation function for an original radio frequency signal, and extracting a characteristic cyclic frequency; enhancing the original radio frequency signal based on the characteristic cycle frequency, and obtaining a preliminary effective signal in combination with a cycle autocorrelation function; extracting an instantaneous phase of the initial effective signal, and obtaining a direct path effective signal according to a phase second-order variable quantity; phase and amplitude of the analytic signal of the effective signal of the direct path are extracted, modulation intensity of the two signals is obtained, and a modulation coupling function is constructed; extracting modulation instability from the modulation coupling function, extracting cyclic rigidity through cyclic mapping, and calculating cyclic instability; and finally, weighting the modulation instability and the cyclic instability to obtain an interference confidence coefficient, and when the interference confidence coefficient is smaller than a preset confidence coefficient threshold value, determining that the signal is an unmanned aerial vehicle signal. The identification precision of the radio frequency signal of the unmanned aerial vehicle is improved.

This invention relates to the field of rescue communication technology, and discloses a remote interaction system and method for mine disaster scenarios. The method receives and separates mixed multipath signals in real time, extracts the instantaneous phase difference and signal amplitude envelope between the main signal and the reflected signal, assesses the risk of instantaneous phase collapse, and generates an early warning. Subsequently, a feedback controller generates a pre-interference signal following the principle of minimum disturbance based on the early warning information, and injects it into the transmission link through a fast modulator. This performs microsecond-level adversarial adjustment on the main signal, actively disrupting the coherent cancellation conditions that could lead to complete communication interruption. This invention achieves proactive defense against zero-signal black holes, effectively preventing rescue robots from losing control due to instantaneous disconnection of commands and video data without interrupting the communication link, significantly improving the reliability of communication and operational safety in mine disaster rescue.

The invention discloses a millimeter wave radar heart rate estimation method and device based on Hilbert transform. The method comprises the steps that echo data containing human chest wall infinitesimal displacement information is collected through a millimeter wave radar, the chest wall position is positioned, and phase information is extracted to obtain vital sign signals; the method comprises the following steps of: processing a signal by adopting a sliding time window, solving an instantaneous phase in each window through improved Hilbert transform, periodically calculating a candidate heart rate estimated value through the slope of a regression fitting straight line based on the corresponding relationship between time and the phase in a window sliding process, and carrying out time sequence constraint on the candidate heart rate value, so as to obtain an estimated value of the heart rate. And isolated abnormal values and non-physiological jumps are inhibited. According to the method, improved Hilbert transform is applied, the problem that hopping is prone to occurring at the two ends of a window in a conventional method is solved, and the accuracy and stability of heart rate estimation are improved in combination with a heart rate estimation method based on regression fitting and heart rate time sequence constraint.

The application relates to the technical field of data monitoring, and discloses an intelligent power distribution monitoring system and method, which comprises the following steps: collecting current and voltage signals of preset points to establish a signal data chain; pre-processing the signal data chain based on a window function to obtain a windowed data chain, determining an overlap ratio for window division according to the length of the windowed data chain, and obtaining a plurality of spectrums; comparing the spectrums two by two, and judging whether to perform abnormal early warning according to the comparison result; when early warning is determined, processing each spectrum based on Hilbert transformation to obtain an instantaneous envelope and an instantaneous phase, and obtaining the phase difference value of two same-frequency harmonics in all spectrums; and taking the phase difference value and the spectral similarity as characteristic data, comparing the characteristic data with historical early warning data sets, and performing early warning. The application overcomes the problems of traditional methods, such as dependence on fixed threshold values, slow response and high false alarm rate, and improves the identification accuracy and response timeliness of dynamic harmonic abnormalities.