2260 results about "Frequency offset" patented technology

The invention provides an equipment supervision data real-time analysis method and system, and the method comprises the steps: calculating an energy value of a frequency band corresponding to a sub-band signal, determining the energy characteristics of the surface roughness and dust deposition distribution uniformity of a blade in each sub-band in a square sum form, and generating energy distribution vectors which are arranged according to a frequency band sequence; performing time-frequency analysis on the vibration signal by using the acquired real-time rotating speed information of the gas turbine, identifying a frequency component corresponding to the eccentric distance value of the rotor and the vibration frequency offset, and determining the amplitude of the frequency component; according to the classification result and the real-time rotating speed information, the comprehensive influence index of the material density change rate and the ash deposition layer thickness difference is calculated, the fault early warning level is determined through a weighted average method, and an early warning signal is generated; and according to the change trend of the early warning signal and the blade edge wear degree, a random forest algorithm is adopted to predict a development curve of the vibration frequency offset in the future target time, and real-time equipment supervision analysis data are obtained.

The invention discloses a mixed tower structure full-life damage intelligent sensing array early warning system, which relates to the field of mixed tower structure detection and comprises a multi-modal data collection module, an array topology optimization module, a self-adaptive signal processing module, a digital twin life prediction module, a grading early warning module and a visualization system. The multi-modal data collection module comprises a multi-modal sensor array, a self-powered module and a wireless transmission module. According to the invention, a full-scale sensing network is constructed, full-dimension damage perception from distributed monitoring to sudden damage capture and structural modal analysis is realized, wavelet transform and blind source separation are combined to eliminate environmental noise interference, a damage characteristic ultrasonic attenuation coefficient, an acoustic emission energy spectrum peak value, optical fiber strain gradient anomaly and vibration modal frequency deviation are extracted, and the detection accuracy is improved. And classification and positioning of damage types and intelligent diagnosis of severity levels are realized through a convolutional neural network and long and short memory neural network hybrid model, and a closed-loop processing flow from data acquisition to feature analysis is formed.

The invention discloses an electromechanical equipment noise reduction method based on machine learning, and relates to the field of electromechanical equipment noise reduction, and the method comprises the steps: collecting sound pressure and vibration signals during the operation of electromechanical equipment, and collecting the operation state data of the electromechanical equipment; sparse reconstruction is carried out on the noise features; carrying out sound source localization on the reconstructed noise features by using a beam forming algorithm to obtain a noise distribution diagram; constructing a noise reduction model based on deep learning to obtain noise signals after noise reduction; extracting the frequency of the noise signal in a preset frequency range through a peak search algorithm; analyzing the acquired running state data by using a time-varying linear predictive coding algorithm TVLPC to obtain a noise frequency offset caused by the abnormal running state of the electromechanical equipment; generating an optimal solution by using a particle swarm algorithm; and according to the optimal solution of noise control, noise dominant frequency components are extracted for separation, and a plurality of phase-reversal noise reduction control signals are obtained. Aiming at low noise reduction precision of electromechanical equipment in the prior art, the noise reduction control precision is improved.

There is inter alia disclosed a user equipment. UE, for transmitting at least two parallel uplink transmissions associated with a common uplink information payload and including a first uplink transmission and a second uplink transmission, comprising means for:—receiving information indicative of a common frequency-domain resource allocation for the at least two parallel uplink transmissions:—determining, a first frequency-domain resource allocation for the first uplink transmission and a second frequency-domain resource allocation for the second uplink transmission at least based on the common frequency-domain resource allocation and on frequency-domain multiplexing information indicative of a frequency gap or a frequency offset between the first frequency-domain resource allocation and the second frequency-domain resource allocation; and—transmitting the first uplink transmission using the first frequency-domain resource allocation and transmitting the second uplink transmission using the second frequency-domain resource allocation.

The invention relates to the technical field of intelligent manufacturing and numerical control machining control, and discloses a machine tool dynamic characteristic sensing and intelligent machining control method and system based on a knowledge graph and a large model, and the method comprises the following steps: extracting frequency domain parameters through a vibration sensor, obtaining vibration displacement in combination with laser displacement, and comparing the vibration displacement with modal data to construct a graph; processing parameters and displacement are synchronously sampled, time sequence characteristics are extracted to generate tensors, dynamic characteristics are predicted and corrected, and frequency response adjustment rotating speed is matched to generate optimized track control parameters which are converted into G code instructions. According to the method, a dynamic characteristic map is constructed by fusing vibration signals and displacement, a sliding window synchronizes processing parameters and vibration data, LSTM extracts joint characteristics, GRU predicts rigidity and damping ratio, an attention mechanism dynamically corrects weight, characteristic coupling analysis and prediction precision is improved, nonlinear modeling captures dominant frequency offset and harmonic distribution, response speed is enhanced, and the method has the advantages of being high in precision and high in precision. Cutting vibration is inhibited, and the process stability is guaranteed.

The invention discloses a Doppler and pseudo-range fusion positioning method and system for low-orbit satellite conduction signals, and relates to satellite positioning. The method comprises the steps that a Doppler and pseudo-range observation equation is established; performing least square residual calculation on the calculated Doppler and pseudo-range theoretical values and the observed Doppler and pseudo-range measured values, and taking a grid center point coordinate corresponding to a two-norm minimum value as a receiver position initial value; performing Taylor series expansion on the Doppler and pseudo-range observation equation, and representing a state updating matrix by using the established state transition matrix and receiver position, clock error and frequency offset correction; the inverse matrix of the observation noise covariance is used as a weight matrix to be distributed to the state transition matrix; and iterating the initial position value of the receiver, updating the state updating matrix, and stopping iteration until the two-norm of the residual solution is smaller than a set threshold value, so as to obtain the position, clock error and frequency offset results of the receiver. According to the method, the low-orbit satellite positioning algorithm model can be optimized, the convergence time is shortened, and the positioning precision is improved.

The invention provides a porcelain insulator pulse excitation detection method based on multi-mode coupling analysis, and belongs to the technical field of intelligent detection of power equipment, and the method comprises the following steps: applying a mechanical pulse excitation signal with an adjustable amplitude; collecting a vibration response signal and constructing a temperature-frequency compensation model; separating the vibration mode of each section: constructing an equivalent mass-rigidity-damping model of a plurality of sections of insulators; extracting instantaneous frequency from the separated multi-mode signal, capturing the non-stationary characteristic of the vibration signal, and capturing the local rigidity change; and calculating a crack quantitative index and outputting a diagnosis result, including establishing a crack depth-frequency offset mapping database, and acquiring an actual bending form of the vibration mode by identifying the position of the crack. The method has the advantages that the three-dimensional characteristic spectrum of the crack is constructed through joint analysis of multi-dimensional data such as the vibration mode, the instantaneous frequency and the curvature distribution, the limitation of traditional single parameter detection is broken through, and refined distinguishing of defect property cracks, aging and the like is achieved.

The embodiment of the invention provides a synchronous code detection method, system and device in a low earth orbit satellite communication system, and the method comprises the steps: grading an obtained maximum frequency offset range value of the low earth orbit satellite communication system, and obtaining frequency offset values of different grades, performing synchronous code capture on a first receiving signal of the input signal flow under the frequency offset values of different grades, and obtaining an initial frequency offset estimation value according to a capture result; compensating a second receiving signal of the input signal flow by using the initial frequency offset estimation value, and performing synchronous code capture on the compensated second receiving signal to obtain a candidate synchronous code position confirmed by coarse compensation; based on the candidate synchronous code position, performing frequency offset estimation on the synchronous code data under the plurality of time slots to obtain a candidate frequency offset estimation value; and compensating a third receiving signal of the input signal flow by using the candidate frequency offset estimation value, and performing synchronous code capture on the compensated third receiving signal to obtain a synchronously captured target synchronous code position. According to the invention, the detection of the synchronous code in the low-orbit satellite communication system is realized.

The invention relates to the technical field of information transmission, in particular to a multi-band processing system for electronic communication, which comprises a signal separation module, a frequency deviation compensation module, an amplitude correction module, a phase correction module and a dynamic feedback adjustment module. According to the invention, a plurality of frequency bands are extracted to execute band-pass filtering to separate signal components, short-time power spectral density is calculated to describe energy distribution, normalization coefficient operation is carried out to enhance frequency domain balance, high-energy component screening is carried out to reduce noise interference, signal effectiveness is improved, and frequency offset compensation calculates a change rate based on adjacent phase data and eliminates abnormal fluctuation. A time domain coefficient is adjusted to correct a frequency offset error, amplitude correction depends on short-time Fourier transform to screen the maximum amplitude to optimize signal consistency, phase adjustment fits a group delay error curve to optimize compensation parameters, dynamic feedback optimizes a strategy according to a signal-to-noise ratio to enhance compensation precision, and signal transmission quality and stability are improved.

A wireless transmit / receive unit (WTRU) may receive subband non-overlapping full duplex (SBFD) configuration information. The SBFD configuration information may be associated with subbands for uplink transmission and subbands for downlink reception. The WTRU may receive scheduling information associated with physical uplink shared channel (PUSCH) transmissions. The scheduling information may comprise a first frequency domain resource allocation (FDRA). The WTRU may transmit a first PUSCH transmission using a first frequency resource. The WTRU may determine that at least a second PUSCH transmission is to be sent using at least one OFDM symbol. The WTRU may determine that the first frequency resource overlaps. The WTRU may receive one or more of a second FDRA or a frequency offset for the second PUSCH transmission. The WTRU may determine a second frequency resource for transmitting the second PUSCH transmission. The WTRU may transmit the second PUSCH transmission using the second frequency resource.

The invention discloses a time-frequency synchronization tracking and judging method based on GFSK (Gaussian Frequency Shift Keying). The method comprises the following steps: S1, positioning the initial position of a synchronization word by detecting a lead code; s2, extracting a fixed synchronization word, completing frame synchronization based on correlation matching, and positioning a starting point of an effective data segment; s3, a range cycle counter collects a central sampling point and two adjacent sampling points to form a candidate sampling point sequence; s4, dynamically and finely adjusting the range cycle counter to form a time sequence calibration sampling point sequence; s5, performing phase difference calculation on the time sequence calibration sampling point sequence, estimating continuous frequency offset and generating a compensation value; s6, applying the compensation value to construct a decision feedback equalizer with delay front and back terms; s7, performing interference suppression on the compensation sampling point sequence by using a decision feedback equalizer with delay front and back items, and outputting a soft decision value; and S8, executing three times of judgment, constructing a sliding reference sequence, and outputting a final bit judgment result. According to the method, the problem of poor GFSK demodulation robustness under Doppler disturbance is solved.

The invention relates to a time synchronization maintaining method assisted by temperature sensing, and belongs to the technical field of time synchronization. The method comprises the following steps: for a network communication scene in which synchronous information interaction cannot be carried out between equipment due to a main clock fault or communication link interruption, considering the characteristic that the output frequency of an equipment clock crystal oscillator presents nonlinear dynamic time varying due to environment temperature change; constructing a time sequence prediction model based on the TimeNet neural network and suitable for the non-external connection; training the model by using clock parameter data and temperature information which are historically recorded; using the trained model to take the environment temperature information as the input of the model, and predicting the clock frequency offset of the slave node; and the clock phase offset of the slave node is calculated by using the predicted clock frequency offset and a frequency offset autoregressive state transition equation, and the slave node corrects a local clock and realizes clock self-holding with the master node by using the clock frequency offset and a clock phase offset value.

The invention provides a fault identification method and system for a buried optical fiber, and relates to the technical field of computers, the polarization mode dispersion change rate and the time-frequency double-domain disturbance coefficient of an optical signal of a to-be-detected buried optical fiber can be obtained, and the time-frequency double-domain disturbance coefficient is determined according to the amplitude fluctuation coefficient and the frequency offset of the optical signal; under the condition that the polarization mode dispersion change rate is greater than a preset first threshold value and the time-frequency double-domain disturbance coefficient is greater than a preset second threshold value, acquiring environment state information and physical excitation parameters of the buried optical fiber; inputting the environment state information, the polarization mode dispersion change rate, the physical excitation parameter and the amplitude fluctuation coefficient into a pre-trained micro-bending strain identification model to obtain a micro-bending strain state index of the buried optical fiber; and inputting the micro-bending strain state index, the environment state information and the time-frequency double-domain disturbance coefficient into a preset optical fiber fault classification model to obtain a fault identification result of the buried optical fiber. And fault identification can be carried out on the buried optical fiber comprehensively and accurately.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

The invention discloses an FDA-MIMO radar multichannel coherent accumulation method based on distance-frequency offset compensation, and belongs to the technical field of radar moving target detection. The method comprises the following steps: obtaining an echo signal of a target by using a two-dimensional planar array FDA-MIMO radar; performing multi-channel matched filtering on the echo signal, and performing FFT (Fast Fourier Transform) at slow time to realize pulse accumulation; performing covariance matrix calculation to obtain a noise subspace and a signal subspace; searching an azimuth angle and a pitch angle of the target, and obtaining a distance-frequency offset coupling compensation vector based on characteristic decomposition; and performing multi-channel beam forming, performing coherent synthesis on multi-channel signal energy, and performing target detection by using a constant false alarm rate. According to the method, the output signal-to-noise ratio can be remarkably improved, the calculation complexity of coherent accumulation is reduced, and when an error exists in target distance estimation or a Doppler effect is generated by frequency offset, compared with a MUSIC algorithm, the method can obtain higher coherent accumulation gain.

The invention relates to the technical field of wireless charging, and provides a foreign matter detection method and system for a wireless charging system and a storage medium. The method comprises the following steps: firstly, calibrating at multiple temperature points and establishing a temperature-parameter comparison table under the condition of no foreign matters; in a no-load standby state, the inversion module sends out detection drive and collects voltage, current and temperature; calculating a real-time quality factor and resonant frequency according to sampling, obtaining a compensation reference according to a temperature look-up table, and solving the variation of the quality factor and the resonant frequency; and performing fusion judgment by adopting dual-condition locking or weighted scoring, and triggering fault protection when a foreign matter is confirmed. Due to the fact that equivalent inductance and resistance changes are caused by metal foreign matters, quality factors are remarkably reduced along with resonant frequency deviation, temperature excursion and foreign matter effects are distinguished through temperature compensation, and dual-condition locking or weighted scoring fusion judgment is combined, the interference immunity and accuracy of detection are improved, false alarms and missing alarms are remarkably reduced, and the detection accuracy is improved. The method is suitable for high-power wireless charging scenes.

The invention relates to a non-signaling test-based frequency offset calibration method, system and device and a medium, and the method comprises the steps: carrying out the parallel non-signaling frequency offset test of a plurality of target chips, collecting the output waveforms of the target chips, and determining the frequency offset values of the target chips according to the output waveforms; performing deviation analysis on the frequency deviation value, and calculating a corresponding frequency deviation calibration value based on the frequency deviation value and a preset frequency calibration coefficient under the condition that the frequency deviation value reaches a preset frequency limit range; writing the frequency offset calibration value into a corresponding target chip, and performing parallel frequency offset calibration; and carrying out calibration degree verification on the target chip after frequency offset calibration so as to confirm whether the frequency offset value of the target chip accords with a preset standard frequency. The method and the device have the effect of improving the frequency offset calibration efficiency of the chip.

Methods and apparatus for obtaining a frequency offset corresponding to a Doppler shift of transmission and / or reception frequencies between a wireless device and a network node. In one embodiment a method is performed by a wireless device for operating in a non-terrestrial network, NTN, the NTN having at least one network node and a communication satellite, wherein the at least one network node is one of a terrestrial base station and a satellite base station or satellite gateway, the method includes obtaining a frequency offset corresponding to a Doppler shift of transmission and / or reception frequencies between the wireless device and the network node and applying the frequency offset to an uplink

The invention provides a frequency offset estimation method and device based on a 5G demodulation reference signal, and the method comprises the steps: determining a first frequency offset estimation value set according to a frequency domain receiving sequence and a local sequence of a DMRS symbol configured by a physical layer channel; eliminating frequency offset estimation values with absolute values greater than a preset threshold value in the first frequency offset estimation value set to obtain a second frequency offset estimation value set; performing frequency offset compensation on the DMRS symbol by using each frequency offset estimation value in a second frequency offset estimation value set to obtain a frequency offset compensation sequence of each frequency offset estimation value on the DMRS symbol; and performing correlation operation on the frequency offset compensation sequence of the DMRS symbols and the local sequence of the DMRS symbols by the frequency offset estimation values to obtain correlation values, and taking the frequency offset estimation value corresponding to the maximum correlation value as a frequency offset estimation result. The method effectively improves the frequency offset estimation range, enables the system to support larger Doppler frequency offset tracking and compensation, and further supports larger relative movement speed of a receiving end and a transmitting end.

The invention relates to the technical field of ship communication, and provides an ocean ship communication method and system based on Ku wave band communication. Comprising the following steps: S1, configuring and deploying a Ku wave band satellite; s2, adjusting the corresponding transmitting frequency through the frequency offset of the transmitting end and the receiving end to perform frequency pre-compensation, converting the transmitted communication data into a satellite signal through modulation and coding by the transmitting end, and transmitting the satellite signal to the receiving end; and S3, capturing and performing down-conversion processing on satellite signals through a satellite antenna and a tuner, analyzing frequency and phase change characteristics of the satellite signals, adjusting parameters of a signal processor for compensation, demodulating and decoding the processed satellite signals through a modem, recovering original communication data, and performing Ku wave band satellite communication through a Ku wave band satellite communication technology. Non-blind area communication coverage of ocean ships is realized, and signal attenuation and interference are reduced by configuring a relay station, expanding the signal receiving and sending range, and dynamically adjusting the signal frequency through adaptive frequency control and a Doppler effect compensation algorithm.

The invention provides an OFDM signal receiving and processing system and method suitable for an NAVDAT system. According to the method, the characteristics that NAVDAT system signals have synchronous headers, pilot frequencies and the like are fully considered, firstly, the synchronous headers are used for carrying out correlation operation on received data to search a frame starting point, and a signal frame to be demodulated and decoded is obtained in combination with a constant false alarm detection algorithm; and subsequently, carrying out symbol synchronization to determine the FFT window position. Secondly, in combination with a discrete pilot signal, estimating an integral multiple frequency offset error, namely coarse synchronization, and further realizing estimation of a decimal multiple frequency offset error, namely fine synchronization, so as to realize frequency synchronization. And then, channel estimation is carried out by using the pilot signal and adopting a least square method to obtain the channel frequency response of the pilot, the frequency response of the complete signal is obtained through interpolation, and the rough estimation result is further processed through the designed RCAFCN network to obtain accurate channel estimation, so that the original OFDM signal is recovered. And finally, extracting a data part in the OFDM signal according to a frame structure, realizing soft demodulation through a log-likelihood ratio mode, decoding data of a signaling part by using a polarization code, and decoding data of a service part by using a low-density parity check code, thereby realizing complete demodulation and decoding. The method provided by the invention can effectively reduce inter-symbol interference and inter-carrier interference existing in OFDM signals, compensate channel distortion, reduce noise influence, improve decoding precision, improve communication quality, realize optimization of NAVDAT system baseband processing, and guarantee sailing safety of ships on the sea by combining with an existing marine broadcast system.

The invention relates to a channel estimation method based on frequency domain deviation compensation and dynamic DCT denoising, and belongs to the technical field of wireless communication. The method comprises the following steps: establishing a wireless channel model and an OFDM system model; estimating the frequency offset in the received signal by using the phase rotation characteristic of the pilot signal; calculating a preliminary channel frequency domain response # imgabs2 # at a pilot frequency position through a least square criterion based on the compensation signal # imgabs1 #; obtaining a receiving pilot frequency signal # imgabs4 # according to the sending pilot frequency Xp and the roughly estimated channel frequency response # imgabs3 #; estimating a current signal-to-noise ratio SNRest based on the pilot frequency signal # imgabs5 # and a noise power ratio; and establishing an adaptive DCT denoising strategy based on a signal-to-noise ratio threshold, and selecting different denoising strategies according to different signal-to-noise ratios to perform denoising processing on # imgabs6 # to obtain final channel estimation # imgabs7 #. The adaptive denoising strategy design of the invention effectively balances the relationship between noise suppression and channel structure fidelity, and improves the precision and stability of overall channel estimation.

The invention discloses a high-sensitivity metal micro-strain sensor label and a detection method thereof, which are applied to the field of nondestructive testing and the field of structural health monitoring. The problems that an existing tag antenna is low in strain detection sensitivity and difficult in micro-strain detection are solved. The high-sensitivity metal micro-strain RFID sensing tag is attached to the surface of a component, when the tag deforms, the impedance change of the tag is Zsened, and the radar cross section changes accordingly; the reader can remotely monitor antenna parameters according to the change of the RCS0, the RCS1 and the intensity while communicating with the tag, so that the change of the intensity RSSI of an echo signal is deduced, and the deformation of the tag is indirectly known; when the impedance of the tag antenna changes, the resonant frequency of the tag changes accordingly, and the deformation information of the tag can be indirectly obtained by analyzing the deviation of the resonant frequency.

The invention discloses a method for estimating the transmittance of a time-varying channel based on a frequency division multiplexing pilot frequency, and aims to solve the problem that the existing method for estimating the transmittance by adopting average transmittance does not have the capabilities of timely feedback and dynamic adjustment. The method comprises the following steps of: measuring a regular position component and a regular momentum component of a received signal by receiving a quantum signal and a pilot signal of frequency division multiplexing in a local local oscillator continuous variable quantum key distribution system generated by a transmitting end in real time; compensating phase noise caused by frequency offset and channel jitter due to different center frequencies of two independent lasers at a receiving end and a transmitting end by using a frequency offset compensation and phase recovery algorithm, and performing band-pass filtering to obtain a recovered pilot signal; and calculating the power ratio of the obtained pilot signal to the pre-calibrated pilot signal at each moment to obtain the time-varying free space transmittance. The performance change of the system in different time periods can be accurately reflected, the communication performance of the CVQKD system can be optimized, the success rate of key transmission can be improved, and the adaptability and robustness of the system can be improved.

The invention relates to a frame synchronization detection method, device and equipment and a medium, and the method comprises the steps: carrying out the frequency offset pre-compensation of a received satellite signal; setting N different frequency offset grades, and adopting the N different frequency offset grades to perform secondary frequency offset pre-compensation on the satellite signals subjected to frequency offset pre-compensation to obtain N satellite signals subjected to secondary frequency offset pre-compensation; performing frame synchronization detection on each satellite signal subjected to secondary frequency offset pre-compensation by adopting a frame synchronization detection algorithm to obtain N detection results; and screening out a final frame synchronization detection result by adopting a preset rule based on the N detection results. According to the method, the frame synchronization detection performance can be improved, and the detection performance can meet the system design index requirement.

The invention relates to the technical field of ecological system service function evaluation. The invention relates to a frequency offset correction algorithm in HPLC (High Performance Liquid Chromatography) + HRF (High Radio Frequency) dual-mode communication. The method comprises the following steps: S1, collecting phase sequence data from an HPLC communication link, collecting frequency offset estimation data and corresponding confidence data from an HRF communication link, and adaptively adjusting a preset detection threshold value of the phase sequence data according to the confidence data; s2, performing pulse abnormal sample point detection and elimination on the phase sequence data according to the adjusted preset detection threshold value; according to the method, the detection threshold is dynamically adjusted through the confidence data, so that the anomaly detection process can be matched with the current interference environment in real time, the integrity of the phase sequence data is maintained, and the problem of insufficient adaptability of a fixed detection threshold in an electromagnetic interference dynamic change scene is solved; and a more reliable phase data basis is provided for subsequent interpolation compensation and frequency offset estimation, so that the frequency offset correction precision of the dual-mode communication system is improved.

The invention provides an anorectal surgery postoperative care rehabilitation evaluation method and system. Wherein a vibration sensor is constructed through a machine tool machining vibration monitoring technology, vibration frequency offset of the dressing after absorbing wound seepage is detected in real time, and the vibration frequency offset is associated with dressing weight variation; meanwhile, an optical scattering measurement technology is adopted for carrying out scattering spectrum analysis on wound exudate, and the protein concentration index is analyzed. And carrying out time sequence correlation on the weight change data corresponding to the vibration frequency offset and the protein concentration index to generate a seepage component dynamic change curve. And through a wireless transmission unit in the remote measurement system, performing remote synchronous comparison on the dynamic change curve and a preset healing stage reference curve, and when the vibration frequency offset exceeding the standard seepage amount continuously appears in the curve and the protein concentration index breaks through the threshold range, triggering a remote early warning signal of wound healing abnormity. According to the technical scheme provided by the invention, the nursing rehabilitation efficiency and precision are improved.

The embodiment of the invention provides a time-space synchronization method and device, electronic equipment and a medium, which are used for solving the problem of inaccuracy of a local clock in related technologies. In the embodiment of the invention, the electronic equipment combines the average deviation pseudo-range, the RTT jitter and the target frequency offset into the multi-dimensional observation vector, so that the error source of clock synchronization is fully covered. The time deviation and the frequency deviation of the clock are accurately and effectively determined through a Kalman filtering algorithm, recursive processing of observation vectors and dynamic estimation of the time deviation and the frequency deviation of the clock, and high-precision synchronization of the local clock in a complex environment is achieved in combination with the optimization capability of the Kalman filtering algorithm. And the time of the local clock is the time determined according to the time of the multiple clocks, so that the clocks are more accurate.

The invention discloses a self-adaptive synchronization method and system for multi-protocol signal transmission, and relates to the technical field of signal processing, and the method comprises the steps: receiving and preprocessing a multi-protocol signal, building a state space model based on the preprocessed signal, and carrying out the multi-step prediction of a clock state; future frequency deviation and delay compensation of the signals are calculated based on prediction results, the results are integrated into a calibration parameter set, rolling optimization control is carried out based on the calibration parameter set, and frequency and phase calibration is completed; and outputting the calibrated synchronizing signal and storing the calibrated synchronizing signal in a database. According to the method, the precision and adaptability of signal synchronization are remarkably improved, the frequency deviation and dynamic delay characteristics of the signals can be effectively extracted and utilized, high-precision synchronization of different protocol signals is achieved by combining modal decomposition and correlation weight calculation, the frequency and phase calibration parameters can be adjusted in real time through the self-adaptive rolling optimization control method, and high-precision synchronization of the signals is achieved. And the time reference consistency of the signals is ensured.

The invention discloses an active island detection method and system based on harmonic impedance characteristic identification, and the method comprises the steps: analyzing the harmonic impedance difference of grid-connected points in a grid-connected state and an island state, and building a state criterion based on resonant frequency deviation and impedance amplitude through the comparison of the frequency response characteristics of island impedance and grid-connected impedance; fitting the grid impedance into an RLC parallel model in a selected frequency band, and mapping the topological difference of the power grid into a parameter difference; embedding a low-voltage ride-through strategy in the control of the voltage source converter, and adjusting reactive current in a grading manner according to the voltage drop degree of a grid-connected point; fundamental waves and harmonic waves are separated through a cascade notch filter, two synchronous harmonic waves are injected into the system through constant current control, and it is ensured that injection signals of a multi-voltage source converter are in the same phase in a phase locking link; and solving an overdetermined equation set based on the double-frequency response data to identify RLC parameters, setting an island criterion, and synchronously completing island judgment in a low-voltage ride-through time window. Detection precision is improved, dynamic response is optimized, and power generation efficiency is improved.