514 results about "Phase synchronization" patented technology

The invention discloses a distribution box fire early warning method and system based on multi-source information fusion, and particularly relates to the technical field of distribution box fire early warning. Temperature, smoke, acoustic vibration and current harmonic signals are synchronously acquired, time sequence alignment and amplitude normalization are performed, and a dynamic baseline is generated in real time; extracting multi-scale statistics and morphological characteristics according to an adaptive window, and calibrating an operation mode through unsupervised clustering; then retrieving a matched baseline signature in a historical feature library, and calculating a multi-modal standardization deviation of a current window; mapping the deviation index into a graph node, combining a covariance edge weight, a phase synchronization index and a smoke discrete index, obtaining a coupling risk coefficient through a fusion model, and outputting a comprehensive risk index; and finally, carrying out multi-scale rate and acceleration analysis on the comprehensive risk index, triggering three-level early warning of attention, warning and danger by adopting a dynamic threshold, and correcting the threshold by utilizing operation and maintenance feedback self-learning, thereby effectively solving the problems of early warning response lag and unknown early warning level.

The invention relates to the technical field of electrical detection, in particular to an electricity meter load monitoring method and system based on an electric energy quality analyzer, and the method comprises the following steps: extracting three-phase voltage phase deviation characteristics in a disturbance period, combining with the comparison of a frequency band change trend and fundamental frequency power, recognizing an interference coupling section, and analyzing a jump frequency point; and outputting an ammeter load monitoring result. According to the method, the phase deviation angle of the three-phase voltage is extracted in the voltage disturbance period, and the cross-phase synchronization index is constructed, so that the synchronous response characteristics of different loads to disturbance can be accurately revealed, and the accuracy of load response attribution judgment is enhanced. On the basis of cross-phase synchronous analysis, a corresponding relation between frequency band characteristics and response attribution is constructed, so that load response subdivision has a phase difference identification capability and a frequency behavior calibration capability, and the discrimination robustness under a multi-source interference background is improved.

The invention discloses an RFSOC-based FAST core array distributed collaborative observation and data fusion method and system, and the method comprises the steps: S1, system initialization: a master node RFSOC generates a global clock, achieves the phase synchronization of multiple board cards through an SYSREF differential signal, and completes the calibration of a three-stage clock tree; s2, signal acquisition and preprocessing: directly sampling a 3-8GHz radio frequency signal through an ADC (Analog to Digital Converter), and performing digital down-conversion to obtain a baseband signal; s3, intelligent resource scheduling: identifying a signal type based on an ESN (Echo State Neural Network), and dynamically allocating FPGA logic resources through an improved ant colony algorithm; s4, heterogeneous calculation acceleration: executing a 128-channel digital beam forming pipeline on the FPGA; s5, cross-domain data fusion; s6, collaborative observation planning; and S7, outputting data. The method is suitable for multi-beam synthesis, cross-region joint observation and mass data real-time processing scenes, and provides key technical support for solving the frontier scientific problems such as rapid radio storm origin and black hole activity monitoring.

The invention provides a wide-voltage self-adaptive closed-loop vector swimming pool pump anti-interference method, and relates to the technical field of motor control and power electronics, and the method comprises the steps: collecting three-phase power supply voltage fluctuation characteristic parameters and motor operation state parameters in real time; performing amplitude compensation and phase synchronization correction on the voltage parameter based on the dynamic voltage compensation factor; a closed-loop vector anti-interference control model is constructed, and model parameters are adjusted in real time through a vector immunity coefficient; dynamically correcting control output by adopting a multivariable feedback regulation mechanism; executing an anti-interference instruction and synchronously updating PWM modulation parameters, and verifying a control effect in combination with hardware-in-the-loop simulation; and parameter self-learning optimization is realized through a genetic algorithm. The dynamic anti-interference capability under power grid voltage fluctuation and harmonic interference is improved, intelligent thermal management is realized through a temperature-voltage-current multi-dimensional coupling model, full-life-cycle self-adaptive optimization of the system is guaranteed, and the problems of compensation lag, insufficient harmonic suppression and poor long-term stability are effectively solved.

The invention relates to the technical field of control adjustment, in particular to an intelligent multi-head welding synchronous control system which comprises a data processing module, a modular cooperative control module, a load sensing module, a data transmission module, a self-adaptive pose execution module and a fault-tolerant module. The data processing module extracts three-dimensional geometrical characteristics of a workpiece through laser scanning, PID control parameters are migrated across working conditions in combination with a dynamic time warping algorithm, the inverse kinematics process is optimized, and the self-adaptive pose execution module drives phase synchronization of multiple welding heads based on a global reference trajectory and predicts and compensates thermal deformation errors through a thermal expansion coefficient. And the fault-tolerant module adopts a wavelet packet decomposition identification fault mode, and updates a historical parameter library in combination with an elastic weight algorithm. According to the method, three-dimensional space pose error accumulation caused by mechanical load fluctuation and signal asynchronization is inhibited through cooperation of multiple modules, and the welding process uniformity and the system dynamic stability are improved.

The invention discloses a distributed photovoltaic access power distribution network relay protection analysis method and system, and belongs to the technical field of photovoltaic grid connection, and the method specifically comprises the steps: injecting a dynamic resonance detection signal at the AC side of a current converter of a photovoltaic grid-connected system, and enabling the frequency to be matched with the natural resonance frequency of a target section; analyzing the energy focusing effect of the dynamic resonance detection signal in the power distribution network, and generating a resonance energy distribution map; when the energy density of a certain section in the resonance energy distribution map exceeds a preset threshold value, the photovoltaic output current waveform is adjusted to be a discontinuous waveform containing periodic intermittent cutoff; based on the reflection delay difference of the waveform in the fault section, constructing a space-time mapping model of a fault point, and analyzing and determining a fault position; according to an output result of the space-time mapping model, controlling a photovoltaic side circuit breaker and a power grid side relay to execute a selective tripping action based on waveform phase synchronization; according to the invention, the sensitivity and reliability of distributed photovoltaic access power distribution network relay protection are improved.

The invention discloses a power capacitor bank dielectric loss on-line monitoring method, particularly relates to the technical field of power system equipment insulation state monitoring, and is used for solving the problems of insufficient signal synchronization precision and large dielectric loss calculation error under complex electromagnetic interference in the existing method. The method comprises the following steps: acquiring voltage and current signals in real time and dynamically tracking fundamental frequency; intercepting a main period waveform, constructing phase space trajectory analysis complexity, and generating distortion features in combination with symbol sequence transfer entropy; dynamically adjusting filtering parameters based on the distortion characteristics and the Lyapunov exponent gradient; calculating a high-precision phase difference through zero crossing point interpolation correction and sliding window filtering, and finally determining a dielectric loss value; through dynamic frequency tracking, nonlinear feature collaborative analysis and an adaptive filtering strategy, noise interference is effectively suppressed, phase synchronization precision and dielectric loss calculation reliability are improved, and accurate and real-time monitoring support is provided for insulation performance evaluation of the power capacitor bank.

The invention belongs to the field of electroencephalogram signal processing, and provides a time-frequency space electroencephalogram emotion recognition method based on three-dimensional space position embedding, which comprises the following steps of: firstly, constructing a three-dimensional electrode space position matrix based on an international 10-20 system standard, determining a space adjacency relation between electrodes, and calculating a phase locking value to obtain a functional connection matrix; then, deep feature fusion of an electrode spatial position matrix and a functional connection matrix is realized by adopting a hierarchical cross Transform architecture, the spatial position matrix represents spatial distribution features of a cerebral cortex region, and the functional connection matrix quantifies phase synchronization features of cross-brain region neural oscillation and simulates a brain spatial topological structure; and finally, extracting time, frequency and spatial features of the electroencephalogram signals through combination of a graph attention network and bidirectional long-short-term memory with an attention mechanism for emotion recognition. The method can effectively extract space structure information highly related to the emotional state, and significantly improves the accuracy of emotion recognition.

The invention discloses a brain deep nerve stimulation method and system based on adaptive adjustment, and relates to the technical field of brain deep nerve regulation, and the method comprises the steps: collecting a local field potential signal of a brain deep target region of a target patient, and extracting a beta frequency band power spectrum density and a gamma frequency band phase synchronization index as neural activity characteristic parameters; determining an individual baseline value and a preset threshold value based on historical data, and outputting a stimulation adjustment trigger signal when the beta frequency band power spectral density exceeds the individual baseline value and the gamma frequency band phase synchronization index is lower than the preset threshold value; in response to the trigger signal, calculating an optimal stimulation parameter combination through a gradient descent optimization algorithm and executing nerve regulation; and monitoring the signal change after regulation and control, calculating a relative change rate and updating a threshold value. Through a two-parameter joint judgment mechanism and a threshold updating strategy, individualized adaptive adjustment of stimulation parameters is realized, and the stimulation accuracy and the treatment effect are improved.

The invention relates to a partial discharge detection system based on Rydberg atoms in the field of partial discharge detection of electrical equipment, the system comprises an optical path frequency stabilization module, an atom probe, a photoelectric detection module, a controller module and a power frequency synchronous trigger signal circuit, the optical path frequency stabilization module locks 852.35 nm probe light and pump light frequency less than 509.53 nm through SAS and EIT technologies, and the atomic probe is used for detecting the frequency of the probe light. Inducing transition from a cesium atom ground state to a first excited state to a Rydberg state; under the effect of partial discharge pulse, the atomic probe outputs a modulated EIT transmission spectrum signal, after photoelectric conversion and filtering, the controller module analyzes the amplitude and phase information of the pulse in combination with a power frequency synchronizing signal, the upper computer generates a PRPD diagram to analyze the discharge correlation, the detection sensitivity of the system reaches-50dBm, the frequency band of 300MHz-2GHz is covered, the dynamic range is greater than or equal to 50dB, the equivalent height is greater than or equal to 20mm, and the discharge correlation is greater than or equal to 20mm. Broadband and high-resolution detection is achieved, the problem of phase synchronization is solved, and the device is suitable for high-voltage environment on-line monitoring.

The invention relates to the technical field of industrial equipment predictive maintenance, and discloses an industrial equipment health prediction method and system based on multi-source data synchronization. The method comprises the following steps: responding to an MOM system instruction to synchronously acquire a vibration spectrum, a temperature gradient and a current harmonic; recombining the vibration spectrum based on the main shaft period slice; calculating the cross-correlation time delay offset of the current harmonic and the temperature gradient and translating the temperature data; integrating multi-source data according to a main shaft slicing time window to generate a synchronous signal matrix; inputting a wear degradation model to generate a health degradation index; when the index exceeds a dynamic threshold of the MOM system, a maintenance response is triggered. Through vibration phase synchronization, time delay compensation and dynamic threshold decision, the problems of multi-source data asynchronous fusion distortion and insufficient static strategy adaptability are solved, and the equipment state prediction accuracy and maintenance efficiency are improved.

The invention relates to an intelligent sleep adjusting method and system based on closed-loop acousto-optic brain wave entrainment, electroencephalogram (EEG) signals are collected and preprocessed in real time through a wireless dry electrode, and high-precision sleep staging is achieved through a deep learning model. The system adopts a fuzzy PID (Proportion Integration Differentiation) controller to dynamically adjust acousto-optic synergistic stimulation: an acoustic module generates binaural beat signals, an optical module outputs blue light (470nm) and amber light (590nm) pulses, and the brain wave entrainment efficiency is enhanced through phase synchronization (the phase difference is less than or equal to 10 degrees) and golden section frequency coupling (fL is equal to 1.618 fA). Parameters are updated every 30 seconds through closed-loop feedback, the sound pressure level (30-50 dB) and the light intensity (10-100 lux) are adjusted according to the Weber-Fechner law, and the response delay is lt; the time is 200 ms. A three-level safety mechanism monitors gamma wave abnormity, epilepsy sample discharge and impedance overrun in real time, and triggers graded protection (alarming, cutting off light stimulation and shutdown). Clinical verifications show that the entrainment success rates of the delta wave and the theta wave respectively reach 71% and 68%, the sleep improvement effect is good, and a safe and efficient intervention scheme is provided for sleep disorders.

The invention discloses an online detection method for small and special motor winding defects based on pulsed eddy current and deep learning, and relates to the technical field of nondestructive testing, original pulsed eddy current detection data containing time domain signals and frequency domain features are collected through a multi-channel eddy current sensor array, and a Maxwell equation constraint network is used for denoising and feature enhancement of the data, so that the detection accuracy is improved. Generating a defect feature candidate set in combination with a multi-scale defect generative adversarial network to obtain target eddy current data, applying a chaos frequency modulation pulse sequence to the target eddy current data as an excitation signal, and collecting a response signal by using a phase synchronization frequency locking technology to obtain enhanced eddy current data; the method comprises the following steps: extracting a physical feature of a sensor, extracting a corresponding electromagnetic feature vector containing the physical feature and a deep learning feature, comparing the electromagnetic feature vector with a preset defect feature library, and determining a defect detection result by combining dynamic excitation response difference. And constructing a dynamically updated defect feature library and combining with a fine tuning network.

The invention belongs to the technical field of photoelectronics, and particularly relates to a wide-spectrum narrow-linewidth semiconductor mode-locked laser, and the collaboration of a saturable absorption region SA and a resonator is reflected in time domain-frequency domain dual optimization. And the resonator optimizes the frequency domain characteristics through nonlinear broadening, phase synchronization and mode purification. The SA adjusts a mode locking threshold value in real time through dynamic bias voltage, the pulse energy stability is ensured, dispersion management of the resonator balances the SPM and group velocity dispersion, spectrum splitting is avoided, and the dissipative soliton form is maintained. Besides, due to heterogeneous integration of the InP-based SA and the SiN-based resonator, wafer bonding of the InP-based SA and the SiN-based resonator is realized, high-efficiency energy transfer is realized through the low-loss conical waveguide, a high-performance frequency comb with a wide spectrum and a narrow pulse width is output, and the high-performance frequency comb can be widely applied to the fields of ultrafast optics, coherent light communication and precision spectroscopy.

The invention discloses an internet of things-based amusement equipment light dynamic control method and system, and the method comprises the steps: collecting the acceleration, angular velocity and coordinate data of equipment, carrying out the wavelet denoising and Z-score standardization processing, and constructing a dynamic topology model based on a graph attention network and a graph convolution network. A spectral clustering algorithm is utilized to carry out space partitioning on equipment nodes to generate a topological sub-graph, and an LSTM network is combined to predict an equipment motion track and generate a continuous track sequence. Track correlation features are extracted through a graph attention network, a genetic algorithm is fused to optimize and generate a light conversion sequence, dynamic time warping alignment timestamps are synchronously adopted, and phase synchronization of the light sequence and the motion track is ensured. And finally, brightness, color and flicker frequency are adjusted in real time based on a PID control algorithm, and a closed-loop feedback mechanism is formed. According to the method, high-precision dynamic matching of light and equipment movement is realized, and immersive experience and visual interactivity are improved.

The invention relates to the technical field of aircraft power supply systems, and discloses an intelligent power distribution and fault diagnosis method for an aircraft power supply system, which comprises the following steps: acquiring a real-time current signal and load working condition information of an aircraft power supply bus, a double-domain composite entropy feature is constructed by extracting a time domain entropy transition index representing the energy domain stability of a current signal and a phase synchronization index representing the time structural domain stability; according to the method, dual inspection of the energy domain and the time structure domain is carried out on the current signals, and cooperative judgment is carried out in combination with the load working condition, so that sensitive capture of real fault forebodes is realized; and meanwhile, tolerance is dynamically shown on normal loads in the airplane operation process, the restriction between safety and usability in the prior art is effectively avoided, and predictive health management is made possible.

The invention discloses a standby power supply intelligent monitoring and switching control system and method based on the Internet of Things, and relates to the technical field of standby power supply intelligent switching, and the method comprises the following steps: setting an optimal reference switching time threshold in combination with the historical operation data, load characteristics and technical specifications of standby power supply switching; an initial secure handover period is defined. According to the invention, the key jump from timed switching to state sensing driving switching is realized, so that the system can comprehensively sense the phase synchronization state between the main power supply and the standby power supply before switching, and the phase jump trend is dynamically predicted and intelligently judged in combination with a machine learning model; therefore, impact current, equipment damage and regional tripping risks caused by forced switching due to inconsistent phases are effectively avoided, and the safety, the accuracy and the intelligent level of the switching process of the standby power supply are remarkably improved.

The invention relates to the technical field of data center energy storage and power supply, and discloses a flywheel AFE energy storage and power supply system for a data center, which comprises a flywheel energy storage unit, an AFE control module, a hierarchical energy scheduling module, a dynamic balance adjustment module and a feedback optimization module. The flywheel energy storage unit constructs a multi-stage energy buffer topology through a rotating speed monitoring node and a kinetic energy conversion network; the AFE control module realizes steady-state and transient-state control by using a multi-mode switching link of the vector modulation unit and inhibits harmonic waves in combination with the direct-current bus compensation unit; the hierarchical energy scheduling module generates a bus voltage reference strategy through a dynamic coordination model of the master control coordination node, and load power supply priorities are sorted through a dynamic priority distribution unit. The dynamic equalization adjustment module realizes power phase synchronization compensation and modulation frequency correction, and the feedback optimization module corrects a power supply strategy based on a closed loop of a bus harmonic evaluation network. The system improves the power supply stability, efficiency and reliability of the data center.

The invention discloses a wearable fatigue monitoring and feedback method based on deep learning. The method comprises the steps that a heart rate variability signal, a gamma wave band electroencephalogram signal and body movement posture information of a user are collected in real time; denoising, normalizing and synchronously fusing the acquired multi-mode signals; extracting a fatigue state representation vector in real time by adopting a Mamba linear state space sequence model; estimating a user fatigue index in real time based on a lightweight full-connection neural network decoder and constructing an individual fatigue threshold dynamic model; calculating a phase synchronization index of the electroencephalogram signal in real time; and generating and outputting an individualized 40Hz gamma wave band sensory nerve stimulation feedback signal in real time based on the fatigue index and the phase synchronization index. According to the invention, high-robustness fatigue identification and low-delay feedback adjustment in a complex motion noise environment are realized.

The invention provides a real-time synchronous control method and system based on an EtherMAC bus, and the method comprises the steps: obtaining an original transmission frame sequence in a bus transmission channel through a monitoring unit; calculating a path topology priority factor and a clock offset compensation value according to a preset topological structure rule; obtaining a to-be-transmitted data frame sequence based on a calculation result, and adjusting a phase synchronization pulse in the monitoring unit to obtain an adjusted phase synchronization pulse; performing redundancy check on the to-be-transmitted data frame sequence to generate a check state code; when the value reaches a preset error threshold value, extracting a to-be-marked frame from the to-be-transmitted data frame sequence, and generating a synchronization signal set containing a high-reliability identifier; generating a real-time synchronization control instruction for driving the execution terminal based on the phase synchronization pulse and the adjusted phase synchronization pulse; according to the technical scheme provided by the invention, real-time monitoring, frame reconstruction and clock synchronization adjustment of data transmission are realized, and high-precision synchronization response of terminal control is improved.

The invention discloses a low-power-consumption photonic integrated device preparation method and a corresponding device, and relates to the technical field of semiconductor optoelectronic integrated devices.The device comprises a substrate, a cantilever beam type grating layer, two gain layers, two modulator layers, a wrapping layer and an electric contact layer, the two gain layers and the two modulator layers are symmetrically distributed, and the wrapping layer and the electric contact layer form a shallow ridge waveguide structure. The two symmetrically-distributed gain layers and the middle cantilever beam type grating layer jointly form a double-end resonant cavity structure, the structure shares a unified grating and a thermal tuning platform to achieve continuous, synchronous and high-precision control over cavity mode wavelengths, and balanced modulation and phase synchronization of double-end output are achieved in cooperation with the symmetrically-integrated high-speed modulator layers on the two sides. According to the technical scheme, the gain layer, the grating layer and the modulator layer are symmetrically integrated on the same substrate, the alignment error of a multi-cavity structure is reduced, synchronous scanning, low drift and strong anti-interference high-quality laser output can be obtained, meanwhile, efficient thermal tuning is conducted through the cantilever beam type grating layer, and power consumption is remarkably reduced.

The invention belongs to the technical field of fault positioning, and discloses a Beidou satellite time service-based power distribution network fault section positioning method, which comprises the following steps of: acquiring three-phase current, and performing phase synchronization alignment on the three-phase current by using a Beidou satellite to obtain a three-phase current synchronization data sequence; performing modulus transformation on the three-phase current synchronous data sequence to obtain a zero-mode current component and a line-mode current component; performing adaptive waveform decomposition on the zero mode current component and the line mode current component to obtain an intrinsic mode component, and performing signal reconstruction on a target component to obtain an enhanced fault traveling wave signal; performing waveform curvature sudden change detection on the enhanced fault traveling wave signal to obtain a wave head arrival time and a time difference observation sequence; performing geometric analysis on the topological structure based on the time difference observation sequence and the traveling wave propagation speed to obtain a suspected fault section; and comprehensively studying and judging the suspected fault section to obtain an actual fault section. The power distribution network fault positioning efficiency can be improved.

Systems and methods for regaining phase synchronization between a CMTS core and an RPD, where the phase synchronization is regained over repeated temporal periods preferably divided between a first interval having a frequency adjustment of a first magnitude and a second interval having a frequency adjustment of a second magnitude.

The invention relates to the technical field of connector regulation and control, and discloses an efficient energy storage connector dynamic regulation and control system based on a nonlinear coupling mechanism. The system comprises an establishment module used for establishing an energy storage connector system model based on a voltage signal and a current signal of an energy storage connector; the disturbance identification module is used for performing nonlinear coupling disturbance identification on the energy transmission process according to the energy storage connector system model to obtain an additional coupling loss component, a dynamic impedance drift component and a phase coupling offset component; the dynamic observation module is used for performing weighted analysis through a nonlinear coupling dynamic observer to obtain a coupling mechanism observation result; and the generation module is used for generating an energy transmission path regulation and control instruction containing the conduction angle compensation amount and the phase synchronization compensation amount based on the coupling mechanism observation result. According to the invention, stable operation can be realized under complex working conditions such as load abrupt change and coupling impedance fluctuation, and the transmission efficiency is maximized.

The invention discloses a disturbance of consciousness stimulation regulation and control system and method fused with electroencephalogram connection recognition. The system comprises a simulated electroencephalogram signal data acquisition stage, a connection recognition analysis stage, a stimulation parameter optimization stage and an executable stimulation instruction conversion stage. The method has the following advantages and effects that a whole-electroencephalogram activity distribution diagram is generated by simulating an electroencephalogram signal data acquisition stage, a key connection area is identified, and a brain function connection map is generated by utilizing a function connection analysis network and a phase synchronization algorithm in a connection identification analysis stage; in the stimulation parameter optimization stage, space-time correlation between a whole electroencephalogram activity distribution map and a brain function connection map is established, a multi-objective optimization algorithm is adopted to generate an optimized stimulation parameter set through a fusion network, and finally, in the executable stimulation instruction conversion stage, the optimized stimulation parameter set is converted into an executable stimulation instruction based on a self-adaptive control model. Therefore, the accuracy and the self-adaptive capability of electroencephalogram signal stimulation regulation and control are remarkably improved.

The invention discloses a converter grid following-grid construction control mode smooth switching method suitable for wide-range source-grid state change. The method comprises the following steps: constructing a phase-locked loop control loop, a power outer loop control loop and a current inner loop control loop of a grid following type converter based on constant power control; constructing a voltage control loop, a phase control loop and a voltage and current double-closed-loop control loop of the network construction type converter based on the virtual synchronous generator VSG; calculating real-time output active power P and reactive power Q of the converter; constructing a voltage phase synchronization loop switching control loop and a current instruction tracking loop, and realizing smooth switching of dq-axis current instruction values output by a power outer loop of a following network type and a voltage outer loop of a construction network type; and the output dq-axis current instruction value is transmitted to a current inner loop to generate a final voltage signal, and a PWM wave is output to the converter through a modulation link. According to the method, a voltage phase synchronous switching compensation mechanism is adopted, a voltage amplitude and a phase signal are synchronously corrected in the mode switching process, and smooth change of an inner ring current reference signal is achieved.

The invention relates to the technical field of radio frequency signal processing, and discloses a self-adaptive digital phase calibration method and device, a radio frequency system-on-chip board card, a multi-channel radio frequency receiving system and electronic equipment. Comprising the following steps: under the condition that a synchronous acquisition instruction is received, synchronously acquiring radio frequency signals of each antenna channel at the same moment by using a signal acquisition unit; performing digital domain signal processing on the radio frequency signal by using a digital processing unit to obtain respective baseband signal data of each antenna channel; performing phase calculation on the baseband signal data, and determining respective relative phase data of each antenna channel; and dynamically configuring a digitally controlled oscillator corresponding to each antenna channel based on the relative phase data so as to perform adaptive phase calibration on each antenna channel. The phase difference between the channels can be dynamically corrected without depending on additional hardware devices such as a phase shifter or a delayer, the application requirement of a large-scale multi-channel radio frequency receiving system is met, and the phase synchronization requirement between the channels is effectively met.

The invention discloses a respiration monitoring analysis and evaluation method based on an optical fiber sensor, and relates to the field of respiration monitoring analysis and evaluation.The respiration monitoring analysis and evaluation method comprises the steps that respiration signals and heart rate signals are collected, and through time alignment, motion compensation and reconstruction analysis, a respiration rate space-time coupling tensor is obtained, a phase difference matrix is constructed to generate an atlas; after decomposition of a Gaussian mixture model, calculating mutual information entropy and a coupling strength index, performing analysis to obtain a mutual information entropy matrix and a dynamic coupling strength curve, performing graph attention network processing, state reproduction and phase synchronization analysis to obtain a dynamic multi-domain joint tensor, and performing projection, reconstruction and characteristic decomposition to obtain parameters. The method comprises the steps of obtaining a mode density manifold graph and a dynamic physiological mode graph, constructing a Gaussian mixture-manifold embedding model, obtaining the Gaussian probability and two-dimensional manifold space coordinates of an abnormal prototype, carrying out corresponding early warning and signal emission, describing a complex physiological mode for respiration and heart rate signals, and carrying out accurate respiration state evaluation and abnormal early warning.

The invention relates to the field of new energy power generation control, in particular to a new energy power generation grid-connected protocol conversion control method. According to the method, the voltage, frequency and communication state of a grid-connected point are monitored in real time, and a support vector machine model is combined to judge whether a system is in a grid loss state; after network loss, the controller is switched to an isolated network operation protocol, a collaborative inertia regulation and control strategy is executed, output of each power generation unit and the energy storage system is dynamically distributed, and frequency and voltage stabilization is achieved; further adjusting the output of each new energy unit based on a linear quadratic Gaussian control algorithm to realize active power balance under the isolated network; after the power supply of the power grid is recovered, the frequency, voltage and phase synchronization of the power generation system and the power grid is realized by adopting self-adaptive fuzzy control through a set synchronization threshold judgment condition; and finally, combining a soft switching-on technology to realize safe grid connection and switching to a grid connection control protocol. The method has the advantages of quick response, high control precision, stable grid connection process and the like, and is suitable for various new energy microgrid scenes.

The invention discloses a low-complexity MSK coded modulation system phase synchronization receiving system and method, and relates to the technical field of continuous phase modulation. On one hand, an original message is coded and modulated by constructing a pre-coding mode, a receiving end realizes optimal sampling point extraction at the minimum intersymbol crosstalk moment after phase decoupling frequency conversion processing, MSK is converted into BPSK-like modulation, oversampling processing is not needed, modulation phase components of a receiving synchronization section can be offset, and the modulation efficiency of the receiving synchronization section is improved; therefore, accurate estimation of Doppler phase and frequency is realized, and the anti-Doppler capability is improved. On the other hand, coherent demodulation soft information is directly output after the real part of the signal subjected to Doppler frequency offset and phase offset compensation is obtained, the complexity of the demodulation algorithm is low, the performance of the demodulation algorithm is equivalent to that of BPSK, the demodulation algorithm is remarkably superior to that of an MSK optimal demodulation receiver in a low signal-to-noise ratio region, and the demodulation algorithm is particularly suitable for a bit interleaving coding modulation system combined with channel coding and has a wide application prospect. And reliable transmission under a low signal-to-noise ratio can be realized.