346 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 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 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 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.

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 metal mine fractured rock mass roadway roof fall dynamic risk assessment method, and relates to the technical field of mine engineering safety, and the method comprises the following steps: S100, carrying out the time-frequency spectrum data analysis of multiple monitoring points, constructing a phase synchronization deviation field, extracting the inherent frequency band characteristics of each monitoring point, and generating a resonance risk preliminary screening list; and S200, in a time window without external strong interference, progressive sweep frequency perturbation is applied to the monitoring points in the resonance risk preliminary screening list, amplitude change and phase lag data of disturbance response are recorded, an excitation coupling relation is identified based on an energy closure index, and dominant calibration of high-risk coupling points is completed. According to the invention, by constructing a phase synchronization deviation field, extracting a non-resonant robust signal, establishing a risk baseline and introducing an anti-verification and cross validation mechanism, effective elimination of false signals is realized; in combination with anti-phase disturbance and dynamic parameter adjustment, closed-loop enhanced control of the recognition model is completed, and the accuracy, responsiveness and prevention and control effects of mine roadway roof fall risk assessment are improved.

The invention discloses an Internet of Things flowmeter data compression sensing transmission optimization method and system, particularly relates to the field of low-power-consumption wireless communication networks, and is used for solving the problem of compressed sensing signal distortion caused by sampling time sequence misalignment in an LPWAN bandwidth limited environment. Constructing a local phase reference by extracting a pipeline vibration fundamental frequency component, and receiving a cloud synchronization reference timestamp alignment signal; fundamental frequency and third harmonic components are separated to calculate arrival time difference, and a phase-locked loop is triggered to dynamically adjust the phase of a sampling clock based on a pipeline material threshold value; after the stability of the zero crossing point time variance is verified, compressed sensing sampling is performed on the flow signal by adopting a phase synchronous clock, and an optimized compressed measurement value is generated and transmitted to the cloud through the LPWAN; through closed-loop cooperation of physical characteristics and a communication clock, complete capture of a signal sparse structure is guaranteed under a low-bandwidth condition, and cloud reconstruction precision is significantly improved.

The invention discloses a heart sound, electrocardio and echocardiogram multi-modal data phase synchronization method, which belongs to the technical field of medical image processing, and comprises the following steps: A1, obtaining an original echocardiogram video and independently recorded heart sound audio data information; a2, preprocessing the acquired data and performing sample automatic construction; a3, a double-path neural network architecture is constructed, electrocardiogram waveform extraction is carried out, and a digital electrocardiogram signal sequence is obtained; a4, periodic feature points of the heart sound and the electrocardio are recognized based on the digital electrocardio signals; and A5, aligning the asynchronous data based on linear phase resampling. According to the method, the video frames, the electric signals and the heart sound signals under different sampling rates are forcibly mapped into the unified phase coordinate system through a linear interpolation algorithm, absolute synchronization of the video frames, the electric signals and the heart sound signals in cardiac pulsation physiological logic is finally achieved, and the influence of individual heart rate differences on data alignment is eliminated.

The invention discloses a cardiovascular and cerebrovascular disease risk prediction method and system based on multiple modalities, and particularly relates to the technical field of medical prediction.The method comprises the steps that frequency domain decomposition is conducted on all modal signals of standardized time sequence data, and rhythm component time sequence signals corresponding to a preset physiological frequency band are extracted; performing Hilbert transform on the rhythm component time sequence signal to obtain an instantaneous phase of the rhythm component time sequence signal; based on the instantaneous phase difference between different modal rhythm components, stability quantification is carried out to obtain the phase synchronization intensity; constructing a multi-modal physiological rhythm synchronous dynamic network by taking the rhythm components as nodes and taking the phase synchronization intensity as a connecting edge weight; according to the method, through deep mining of multi-physiological-mode time sequence data in a continuous time window, phase synchronization dynamic changes among different-mode physiological rhythms are accurately captured, and the multi-mode physiological rhythm synchronous dynamic network construction and variation connected edge identification are combined; the normal fluctuation of the physiological system and the abnormal signal at the early stage of the disease can be effectively distinguished.

The invention discloses a robot super-long flexible part carrying method based on a reinforcement learning vibration suppression collaborative algorithm, and aims to solve the problems of coupling dynamics and synchronization in a multi-grabbing-point and multi-robot collaborative carrying process. According to the method, deep Kupman online embedding, a submerged space phase locking loop, prediction consistency constraint and micro-predictable control feedforward are combined, and a multi-agent residual reinforcement learning closed loop and barrier function projection are assisted to ensure safety constraint; the technical effects of phase synchronization and vibration suppression control under the conditions of communication time delay, packet loss and uncertainty, reduction of stress and swing, and improvement of carrying stability, precision and efficiency are achieved.

The invention relates to the technical field of power distribution cabinet protection, and discloses a power distribution cabinet safety protection and alarm system. The system comprises an operation parameter acquisition module, a dynamic constraint optimization module, a waveform reconstruction module, a pulse adjustment module and a phase synchronization module. The operation parameter acquisition module acquires electrical operation parameters and environment state parameters in real time; the dynamic constraint optimization module divides a fault risk grade interval, defines an action parameter range of a protection actuator and generates a protection action instruction; the waveform reconstruction module combines the opening and closing time sequence requirements of the circuit breaker and real-time load fluctuation to generate an optimized driving pulse sequence; the pulse adjusting module corrects the pulse width and the duty ratio based on the protection action instruction; and the phase synchronization module corrects the trigger phase offset, so that the opening and closing actions of the circuit breaker are synchronized with the fault risk level. The system achieves the comprehensive monitoring and precise protection of the power distribution cabinet, and improves the operation safety and stability.

The invention belongs to the technical field of satellite communication, navigation and precision measurement, and discloses a constant-temperature crystal oscillator automatic taming and calibration method and system based on GPS pulse per second, which can accurately tame and calibrate internal clocks such as a rubidium atomic clock and a 10MHz constant-temperature crystal oscillator through a GPS pulse per second signal, and adopts a novel clock synchronization algorithm to realize the automatic taming and calibration of the constant-temperature crystal oscillator. Through accurate frequency calibration and phase synchronization, high-stability and high-precision second pulse signals and 10MHz frequency clock signals are output.

The invention discloses a task state brain-computer interface training system for closed-loop transcranial magnetic stimulation, and particularly relates to the field of cognitive rehabilitation assistion.The task state brain-computer interface training system comprises the steps that multi-channel electroencephalogram signals and brain function activation records are synchronously collected in the rehabilitation training process, task segments are divided, and frequency domain energy characteristics of all channels are extracted; identifying a state transition candidate segment based on the frequency band energy distribution change; the method comprises the following steps: constructing a cross-channel phase synchronization matrix, and inputting a graph convolutional neural network to generate an activation topology vector reflecting a brain region cooperation mode; the system constructs an activation state recognizer by taking a topological vector and a brain function activation label as supervision data, and realizes real-time judgment of different function states. The recognition result drives a stimulation parameter recommendation module, a preset stimulation strategy mapping table is inquired according to the recognition state, recommended stimulation parameters are dynamically generated and transmitted to a magnetic stimulation execution interface, and personalized closed-loop nerve regulation and control are achieved.

The invention relates to the technical field of intelligent power grid monitoring, in particular to a measuring and testing method for an intelligent low-voltage distribution box line, which comprises the following steps of: acquiring and decomposing an original signal of a reconstructed line to form a characteristic image; steady-state and outlier feature clusters are autonomously emerged through unsupervised clustering, and anomaly recognition without a preset threshold value is achieved. And parameterizing the steady-state features into a dynamic template for real-time comparison and marking of feature deviation events. For a deviation event, an original signal is deeply deconstructed to extract energy distribution and phase synchronization distortion characteristics, and the characteristics, a switching event and a load record are subjected to time sequence alignment and coupling analysis, so that the logic relevance of an abnormal source is locked. Based on the relevance, the sensing device is driven to adaptively adjust a sampling strategy, a new round of verification measurement is started, and a closed loop from sensing, diagnosis to optimization tracking is formed. According to the method, unknown abnormity can be adaptively identified, and automatic analysis of abnormity reasons and closed-loop optimization of a monitoring strategy are realized.

The invention discloses a fault analysis system and method for ship equipment, and the system comprises a multi-source sensing synchronization module which is configured to carry out the phase synchronization of the operation data of multiple equipment through a hardware phase locking mechanism; the multi-physical field modeling module is coupled to the multi-source sensing synchronization module, and is configured to construct a device virtual state field based on the multi-device operation data after phase synchronization, and generate a dynamic parameter representing a multi-device state time sequence imbalance degree; the adaptive diagnostic analysis module comprises a deep learning fault analysis model, and recessive feature extraction parameters and fault evolution time sequence modeling parameters of the deep learning fault analysis model are adaptively adjusted in real time according to dynamic parameters so as to output system-level fault characterization parameters; and the predictive decision-making module is configured to generate decision-making information containing fault development trend prediction and a preventive maintenance window based on the system-level fault characterization parameters. And high-precision correlation diagnosis and predictive maintenance decision-making of early faults of multiple devices of the ship can be realized.

The invention discloses a phase synchronization sequence parameter epileptic seizure prediction method and equipment based on KL divergence enhancement, and belongs to the field of electroencephalogram epileptic seizure prediction. After filtering preprocessing is carried out on epilepsy EEG data, an instantaneous phase of each channel is extracted based on Hilbert transformation, a phase locking value is calculated, and a phase synchronization matrix is obtained. According to the method, PLV values of all channel pairs in the network are extracted, arithmetic averaging is carried out on the values, global synchronization sequence parameters are calculated, and phase consistency of brain intervals is visually reflected. Then, empirical distribution and von Mises distribution are constructed to obtain a KL divergence matrix, and a global KL divergence synchronization index is calculated; experimental results show that the amplification and significance of the synchronous sequence parameter based on the KL divergence in the same stage are more prominent, higher sensitivity is shown in the recognition of the mutation of the synchronous mode, and an important reference basis can be provided for subsequent diagnosis and treatment.

The invention provides a circuit for automatically adjusting magnification times and realizing synchronous sampling, and belongs to the technical field of power electronics. The circuit comprises an amplifying circuit, a resistance switching circuit, a phase locking circuit and an acquisition circuit, the amplifying circuit is used for receiving and processing an original signal, obtaining a voltage signal and analyzing an amplification factor required by the voltage signal, and an amplifier is correspondingly connected to a resistor in the resistance switching circuit according to the required amplification factor and is used for acquiring the voltage signal. And amplifying the voltage signal according to the amplification factor, receiving the amplified voltage signal by the phase-locked loop, analyzing the amplified voltage signal to obtain an average voltage, and adjusting the output frequency of the phase-locked loop according to the average voltage to lock the phase. And the acquisition circuit is used for synchronously sampling the amplified voltage signal according to the locked phase. In an electric power system data acquisition application, the amplification factor can be automatically adjusted, phase synchronization can be realized, and signal acquisition and data analysis of different capacitive devices of a power grid can be satisfied.

The invention discloses a fractional frequency division frequency synthesizer with output signal phase synchronization and frequency modulation continuous wave functions, and the basic structure is a charge pump phase-locked loop. Comprising a phase frequency detector, a first charge pump, a second charge pump, a low-pass filter, a voltage-controlled oscillator, a first buffer, a second buffer, a two-frequency divider chain, an IQ undersampling circuit, a local oscillator generator, a programmable multimode frequency divider, a Delta-Sigma modulator (DSM), a first selector, a second selector, a third selector, a tracking phase accumulator, a numerical control oscillator, an accumulation phase difference register and an atan2 logic circuit. The device comprises a main phase control circuit, a phase adjusting circuit, an enabling control circuit, a waveform generator and a serial peripheral interface. The decimal frequency-division frequency synthesizer can be applied to a general-inductance integrated system, ensures that output signals provided by a plurality of decimal frequency-division frequency synthesizers are consistent in phase in a multi-channel radio frequency transceiving system adopting a multi-chip splicing mode, and can also be applied to the general-inductance integrated system as a sensing signal source; and the speed and the distance of an object can be quickly sensed by the high linearity and the quick chirp capability of an output signal. The decimal frequency division frequency synthesizer is applied to a linear frequency modulation continuous wave radar system, initial phase synchronization can be carried out firstly, then frequency continuous modulation is carried out, and measurement errors can be eliminated. In view of functional similarity of partial modules of the synchronous loop and the FMCW loop, such as a phase frequency detector, a charge pump, a voltage-controlled oscillator and the like, the modules can be shared, so that the power consumption and area cost of the system are remarkably reduced.

The invention discloses a spliced screen phase synchronization method and device, a storage medium and a computer program product, and relates to the technical field of computer multimedia, and the method comprises the steps: selecting a master node and a slave node from a distributed decoder system; calculating a phase error value of the second vertical synchronization signal in the slave node and the first vertical synchronization signal in the master node; and if the phase error value exceeds a preset error threshold value, adjusting a frequency multiplication coefficient in a node phase-locked loop to perform phase synchronization. And the slave node phase is pulled to the master node by adjusting the frequency multiplication coefficient of the node phase-locked loop, so that the phase synchronization of the master and slave nodes is realized. As the adjusting quantity is small and only parameters of the node phase-locked loop are modified, and no hardware is added, low-cost multiplexing on all universal embedded processors can be realized, and high-precision phase synchronization among distributed decoders is realized in a low-cost and universal manner.

The invention discloses a network construction type converter pre-synchronization control method based on Taylor compensation, and the method comprises the steps: collecting the three-phase voltage of an output end of a virtual synchronous generator (VSG) and the three-phase voltage of a power grid side, carrying out the Clark transformation, and extracting a positive sequence voltage component; on the basis of the positive sequence voltage component, calculating a phase difference sine value of the VSG output voltage and the power grid voltage; based on the phase difference sine value, compensating the phase difference sine value through Taylor expansion to obtain a compensated real-time phase difference; and fusing the compensated real-time phase difference into a VSG phase-locked loop-free pre-synchronization control strategy, and driving a PI regulator to dynamically correct the output frequency and phase of the VSG. A phase-locked loop is completely abandoned, and the frequency oscillation risk is eliminated; expanding a phase difference calculation range through third-order Taylor compensation; voltage vector analysis and a dynamic compensation function are fused, phase synchronization is achieved, and grid-connected impact current is reduced.

The invention provides a voice recognition and voice synthesis optimization method and system based on a large model, and the method comprises the steps: extracting lip motion features, lip feature timestamps and audio feature timestamps through obtaining a real-time voice input signal and an image frame sequence of a user face region, so as to generate an initial space-time offset sequence; generating a dynamic offset compensation parameter sequence based on the initial space-time offset sequence in combination with a reference alignment template in the voice and vision synchronization data set; and performing joint processing on the dynamic offset compensation parameter sequence, the lip motion characteristics and the real-time voice input signal by using a large model to reconstruct a target voice segment, generating a corrected phoneme sequence in combination with the lip motion characteristics, retrieving a mouth shape parameter group corresponding to the corrected phoneme sequence from a phoneme mouth shape mapping rule base, and performing mouth shape correction on the mouth shape parameter group. To generate a voice waveform in phase synchronization with the lip motion; according to the invention, the naturalness and immersion of man-machine interaction and the robustness in a voice missing or delay scene are improved.

The invention provides an energy storage equipment phase synchronization control method and an energy storage system, relates to the technical field of energy storage equipment, and aims to solve the problem of phase tracking lag of slave machines caused by communication link delay when multiple machines are connected in parallel. The energy storage device phase synchronization control method comprises the steps that a first synchronization frame is received from a first energy storage device, and the first synchronization frame comprises a first voltage phase; a second synchronization frame is received from the first energy storage device, the second synchronization frame comprises a first time difference, and the first time difference is the difference value between the sending completion time and the sending start time of the first synchronization frame; calculating a second time difference based on a first reception time of the first synchronization frame and a second reception time of the second synchronization frame; and performing phase synchronization based on the first voltage phase, the first time difference and the second time difference. According to the phase synchronization control method, the communication processing total delay of the whole link is actively calculated, then the real-time phase of the host at the current moment is dynamically predicted, and finally accurate synchronization without lag errors is achieved.

The invention discloses a grid drive short-circuit protection method based on dV / dt detection, which relates to the technical field of power electronics, and comprises the following steps: constructing a unified time frequency reference baseline, executing all-phase mapping on each power device of a parallel system, reconstructing a conduction sequence, and calculating a phase difference between a voltage rising edge and sampling trigger. Generating a time frequency dislocation matrix, and determining a phase dislocation risk window; and executing causal playback in the phase dislocation risk window, extracting transient waveform characteristics of a voltage rising edge, eliminating parasitic pseudo peaks, obtaining an effective response trajectory, generating a sampling phase check anchor point based on the trajectory, and constructing a phase reference baseline. According to the method, a unified time-frequency baseline and a dynamic sampling mechanism are constructed to realize phase synchronization of sampling and conduction, the sampling rhythm and the turn-off threshold are optimized in combination with feed-forward vibration suppression and residual adjustment, the short circuit identification speed and precision are improved, and the method has self-healing and self-correcting capabilities and is suitable for high-frequency and high-power density scenes.

The invention discloses a monitoring and feedback method in a thread forming process, a thread extrusion system and application, and the method comprises the steps: synchronously collecting process signals in the thread forming process, generating reference information according to thread pitch phase mapping, and carrying out the real-time comparison and recognition of a phase interval deviating from a threshold value; and in combination with processing stage information, tentative disturbance is implemented during subsequent occurrence, response data is collected, directional process intervention synchronous with the phase is executed after an abnormal type is confirmed, the processing quality is judged based on the intervened phase data, and a control condition is output. According to the technical scheme, accurate state detection and closed-loop control in the thread machining process can be achieved under the condition of no visible light, it is guaranteed that the thread quality is stable, and the machining efficiency and equipment adaptability are improved.