46 results about "Asynchronous sampling" patented technology

A method of operating an image sensor having a pixel array is provided. The method can include outputting a row control signal to a row of pixels in the pixel array at a first time, sampling a first output signal from a first pixel in the row of pixels at a second time, and sampling a second output signal from a second pixel in the row of pixels at a third time after the second time. The row control signal can arrive at the first pixel in the row of pixels a first row propagation delay after the first time. The row control signal can arrive at the second pixel in the row of pixels a second row propagation delay after the first time. The difference between the second and third times may be equal to the difference between the first and second row propagation delays.

The invention relates to the field of intelligent connected automobile systems, in particular to an asynchronous sampling control intelligent connected automobile system mean square consensus method under privacy protection. Comprising the following steps: introducing a time conversion method and a shared sampling period to process asynchronous sampling interaction of heterogeneous intelligent networked automobile communication; acquiring a sampling distributed controller with time-varying noise and an algorithm for the intermittent interactive heterogeneous intelligent connected automobile system; a new hybrid closed-loop system is constructed, and a Lyapunov function is constructed for the closed-loop system to obtain conditions for realizing mean square output consensus of the heterogeneous intelligent connected automobile system; parameters in the algorithm are determined, and the convergence precision, the convergence speed and the differential privacy budget of the heterogeneous intelligent network connection automobile system are quantified. According to the method, the privacy protection mean square output consensus problem of the heterogeneous intelligent networked automobile system under the condition that asynchronous sampling interaction and transmission have bounded time-varying delay is solved.

The invention belongs to the technical field of communication, and discloses an elastic asynchronous sampling control method for resisting denial of service attack in a networked system, which adopts elastic asynchronous sampling data control to realize quick recovery and stability of the networked system after DoS attack and improvement of robustness. And during normal operation of the system, continuously monitoring and recording state data of the networked system based on an asynchronous sampling strategy. And after the DoS attack is finished, a preset asynchronous sampling mechanism is triggered immediately, state information is updated quickly, and a control instruction is calculated again, so that the dynamic response and performance of the networked system are recovered. According to the method, an asynchronous sampling mechanism, discontinuous interval dependency functional analysis and a switching stability theory method are organically combined, the rapid communication recovery capability of a networked system after the networked system is attacked by DoS is cooperatively realized, the stability and robustness of the system are remarkably enhanced, and the method is particularly suitable for application scenes with high security requirements.

A Global Navigation Satellite System (GNSS) receiver for processing GNSS satellite signals use a quasi-asynchronous sampling frequency grid to process the received signals. The GNSS receiver includes a plurality of RF paths configured to receive Global Navigation Satellite System (GNSS) signals from an antenna and transmit the GNSS signals in a frequency range for digitizing the GNSS signals. A phase-locked loop is configured to generate a clock signal and a plurality of clock dividers are configured to receive the clock signal and divide the clock signal. Each of a plurality of navigation systems receive a clock signal from one of the plurality of clock dividers.

The invention discloses a numerical simulation method for a heat-fluid-solid multi-field coupling response characteristic, which relates to the technical field of mechanics and engineering simulation and comprises the following steps of: constructing an asynchronous sampling array, performing joint time-frequency acquisition on a periodic pressure pulsation signal of a fluid and a dynamic response signal of a solid structure, extracting a coupling phase fingerprint baseline, and calculating the coupling phase fingerprint baseline. As a unified reference for energy analysis; and performing coherent decomposition based on the coupling phase fingerprint baseline, calculating a phase-locked energy index, identifying an instantaneous resonance window in a dynamic evolution process, and determining a dangerous frequency band and an interface fragile area. According to the method, unified reference of heat-fluid-solid response data is realized by constructing a coupling phase fingerprint baseline; predicting a crack initiation threshold in combination with anti-fact playback and a risk cone; extracting a minimum disturbance set to construct an energy dissipation channel; time reversal micropulses are applied to cooperate with phonon band gaps and shadows for energy storage, phase lock release and vibration extinguishing control are completed, and closed-loop regulation and control of structure safety are achieved.

The present invention provides a pseudo-synchronous sampling method for asynchronous ADCs based on DFT sampling point offset, which is implemented based on a discrete Fourier algorithm and includes the following steps: step (1): offsetting the DFT sampling point of the phase difference caused by the time delay of channel switching and conversion of the asynchronous ADC, and obtaining the DFT coefficients of any channel in the same ADC after the DFT sampling point offset; step (2): offsetting the DFT sampling point of the phase difference caused by asynchronous sampling between different ADC chips; superimposing the sampling point offsets caused by the phase difference between AD channels and between different ADCs, and obtaining the DFT coefficients of any AD channel of a relay protection device after the DFT sampling point offset. The present invention compensates for the sampling point offset of the asynchronous sampling signal by utilizing the spectrum characteristics of DFT, thereby realizing pseudo-synchronous sampling and improving the signal reconstruction accuracy and spectrum analysis accuracy.

This invention discloses a distributed optimization state estimation method for asynchronous sampling rates under stochastic topology. The method is as follows: 1. Establish an asynchronous sampling rate time-varying nonlinear dynamic model with different system state update rates and measurement sampling rates; 2. Transform the dynamic model into a single-rate time-varying nonlinear dynamic model; 3. Design a state estimator under stochastic topology; 4. Calculate the state estimator at q... k The gain matrix K of the estimator at time step i (q k ) and G i (q k ); V. K i (q k ) and G i (q k Substituting this into the estimator, we obtain q. k+1 VI. Calculate the upper bound of the one-step prediction error covariance matrix; VII. [The text abruptly ends here, likely due to an incomplete sentence or missing information.] i (q k ) and G i (q k Substitute the upper bound of the one-step prediction error covariance matrix into the formula to calculate q. k+1 The minimum upper bound of the one-step prediction error covariance matrix at time step q; let q k =q k+1 Execute step three until q is satisfied. k+1 =K. This invention solves the problem that existing state estimation methods cannot simultaneously handle distributed optimization state estimation problems with stochastic nonlinearity and asynchronous sampling rates under stochastic topologies.

The invention provides a piezoelectric ceramic-based double-optical-comb-cavity modulated gas measurement system and method, a double-optical-comb output module is utilized to generate a detection optical comb and a reference optical comb which are coherent, the detection optical comb enters a resonant cavity to interact with gas to be measured, and the reference optical comb directly reaches a data acquisition and analysis module; the piezoelectric ceramic modulation module dynamically adjusts the length of the resonant cavity by applying a periodic voltage signal; and the data acquisition and analysis module demodulates spectral data of the to-be-detected gas through an asynchronous sampling technology based on double optical comb interference signals of the reference optical comb and the detection optical comb. According to the dual-optical-comb-cavity modulated gas measurement system based on the piezoelectric ceramics, the piezoelectric ceramic modulation module is used for dynamically adjusting the length of the resonant cavity according to the detection optical comb and the reference optical comb, dynamic modulation and transient coupling optimization of the cavity length are achieved, and the problems that in the prior art, the dispersion effect of gas can affect optical signal propagation, and the measurement precision is poor are solved. And non-linear modulation occurs in the ring-down process, so that the measurement precision is influenced.

This invention discloses a method and system for resampling time-domain data of electromechanical-electromagnetic simulations while preserving time-frequency domain features. It includes: constructing electromechanical and electromagnetic transient time-series trajectory samples of a new energy power grid system; processing the trajectory samples separately using an improved Proni method to obtain frequency domain response features; reconstructing the electromechanical and electromagnetic transient time-series trajectories separately using linear interpolation and adaptive resampling techniques based on the frequency domain response features; and fusing the time-domain and frequency-domain features in the reconstructed time-series trajectory data to form a comprehensive feature vector, thereby obtaining electromechanical-electromagnetic simulation time-domain data that preserves time-frequency domain features. This invention solves the asynchronous sampling problem of electromechanical-electromagnetic time-domain simulation data and can be used to support the feature analysis of inconsistent data at different time scales in electromechanical and electromagnetic systems. It has broad application prospects and significant practical implications in fields such as scheduling and control of new energy power grids.

The invention discloses a multi-rate asynchronous sampling control method for a driving motor of a deep-sea robot. The method comprises the following steps: configuring basic electrical and mechanical parameters of a motor system with a plurality of independent partitions; constructing a parameter matrix and realizing control signal decoupling through structural decomposition; setting a basic sampling period and configuring a differential sampling period which is integral multiple of the basic sampling period for each partition to complete control signal discretization; constructing a selection matrix to determine a control signal sequence under multi-rate sampling; discretizing the parameter matrix and solving a feedback control gain matrix; constructing an autonomous system to describe a rotating speed tracking signal and solving a feed-forward control gain matrix; finally, discrete control voltage is calculated according to a multi-rate period based on the armature current detected in real time, and the motor is driven. Through a multi-rate asynchronous sampling strategy, dynamic characteristics and control requirements of different partitions are effectively matched, and the motor control efficiency and response performance in a deep sea environment are remarkably improved.

Aspects of the disclosure relate to asynchronous sampling rate conversion of digital data. A sampling rate conversion module may use, for sampling rate conversion, a bank of subfilters corresponding to a polyphase interpolator. The specific subfilters and / or filter coefficients to be used for generation of output samples may be based on a rate control value. The rate control value may be determined based on a sampling rate used for input samples of the sampling rate converter and a read-out rate associated with samples, generated by the sampling rate converter, stored in an output buffer. A phase-locked loop (PLL) or other control loop may be used to maintain the rate control value at an appropriate level to negate the effects of temperature variations, noise, or any other system variations on the sampling rates.

The invention discloses a temperature measurement system and a temperature measurement method based on an optimized single-arm bridge and interactive digital filtering, and belongs to the technical field of sensor signal precision measurement. According to the invention, the problems of low accuracy, poor real-time performance and high complexity of a traditional temperature measurement method based on a single-arm bridge are solved. According to the invention, through the optimization design of the resistance value of the resistor on the bridge arm of the single-arm bridge, the output nonlinearity can be effectively inhibited and the sensitivity can be improved; an AD7608 analog-to-digital converter is adopted to synchronously acquire the output of a constant voltage source and the voltage difference between a first measurement bridge arm reference point and a second measurement bridge arm reference point so as to eliminate an asynchronous sampling error caused by asynchronous signal sampling; the accidental error of the sampling value, the random error of the sampling value and the inherent deviation of the temperature measurement value are effectively inhibited through filtering processing, and the error introduction caused by a complex operation process is avoided through directly solving the high-precision temperature measurement value. The method can be applied to the field of temperature measurement.

The invention discloses an anti-attack distributed estimation method under a dynamic memory triggering and asynchronous sampling mechanism, and belongs to the technical field of signal processing and control engineering. The method comprises the following steps: establishing a random nonlinear system dynamic model based on an asynchronous sampling mechanism and converting the random nonlinear system dynamic model into a synchronous sampling random nonlinear system dynamic model; designing an anti-attack distributed estimator; calculating an upper bound of an estimation error covariance; deriving a gain matrix; and substituting the gain matrix into an estimator to obtain a distributed estimator at a corresponding moment, and judging whether the total duration is reached or not. According to the method, effective estimation of the random nonlinear system state is realized, the technical bottleneck of a traditional method in the aspects of triggering mechanism, asynchronous sampling and attack behavior joint modeling is effectively solved, the real-time processing capability and the system robustness of state estimation are improved, and the stability and the anti-interference performance of estimation precision in a complex engineering scene are ensured.

This invention discloses a multi-oscillator true random number generator based on independent auxiliary TRNG control. It is characterized by comprising a main TRNG module and an auxiliary TRNG module. The main TRNG module provides a true random number sequence TR via an internal bus. The main TRNG module includes a random signal generation module, an asynchronous sampling circuit, and a post-processing circuit. The random signal generation module includes N ring oscillators RO_i, each RO_i having an independent enable terminal EN_i, i=0~N-1. The auxiliary TRNG module is a complete TRNG, outputting an M-bit auxiliary random number sequence F[M-1:0], where M>N≥2. The lower N bits of the auxiliary TRNG module's output F[N-1:0] are directly connected one-to-one to the enable terminal EN_i of the corresponding RO_i in the main TRNG module without any synchronization circuit, achieving EN_i=F[i], where F[i] corresponds to the i-th bit in F[N-1:0]. This invention can improve the entropy quality and attack resistance of the overall system.

The invention discloses an aircraft sensor data synchronous acquisition method based on an interpolation method, and the method comprises the steps: carrying out the asynchronous sampling of each path of aircraft sensor on the premise of the same sampling frequency; and receiving each path of sampling value and screening to obtain a credible sampling value, and calculating the sampling time of each path of sampling value according to the transmission delay. A fixed time sequence is selected, a correction value corresponding to the sampling value is calculated through an interpolation function and serves as a new sampling value, the sampling time is the same fixed sequence, and data synchronization of the sampling value is achieved. Under the condition of ensuring the same sampling frequency, a synchronous signal is not needed to control the sampling time, and a corresponding synchronous signal hardware circuit is not needed, so that the production cost is remarkably reduced, the measurement precision of the sensor is remarkably improved, and relatively good practicability is achieved.

The present invention discloses a multi-rate asynchronous sampling control method for a deep-sea robot's drive motor. The method includes the following steps: configuring the basic electrical and mechanical parameters of a motor system with multiple independent partitions; constructing a parameter matrix and achieving control signal decoupling through structural decomposition; setting a base sampling period and configuring differentiated sampling periods that are integer multiples of the base sampling period for each partition to discretize the control signal; constructing a selection matrix to determine the control signal sequence under multi-rate sampling; discretizing the parameter matrix and solving the feedback control gain matrix; constructing an autonomous system to describe the speed tracking signal and solving the feedforward control gain matrix; and finally, calculating discrete control voltages based on the real-time detected armature current according to the multi-rate period to drive the motor. This multi-rate asynchronous sampling strategy effectively matches the dynamic characteristics of different partitions with the control requirements, significantly improving motor control efficiency and responsiveness in deep-sea environments.

The invention discloses a differential privacy fusion filtering method of an asynchronous sampling positioning system in a low-reliability environment. The method comprises the following steps: 1, establishing a dynamic model of an asynchronous sampling nonlinear positioning system based on sensor network communication; 2, converting the asynchronous sampling nonlinear positioning system dynamic model into a synchronous sampling nonlinear positioning system dynamic model through a zero-order holding strategy; 3, designing a differential privacy distributed fusion filter; 4, calculating one-step prediction and one-step prediction error covariance; 5, deriving a local filter gain according to the one-step prediction error covariance; 6, substituting the local filter gain and the one-step prediction into the step 3 to obtain fusion filtering; and 7, calculating a local filtering error covariance upper bound. According to the method, the problem that the privacy protection and filtering performance of the positioning system cannot be considered cooperatively in the existing filtering method is solved, and meanwhile, the influence of randomly generated nonlinearity of the sensor on the fusion filtering effect is discussed, so that the estimation precision of the problem is improved.

The invention discloses a method for realizing asynchronous sampling rate conversion in a video signal digital-to-analog conversion process, which comprises the following steps of: designing an FIR (finite impulse response) type asynchronous sampling rate conversion filter (as shown in an attached drawing) with a frequency response function of (kT / 2) / sin (kT / 2) type; and the frequency component signal gain of the video signal subjected to digital-to-analog conversion and long-distance transmission is kept constant. Therefore, various technical indexes such as a frequency response curve, a chromaticity and brightness gain difference, group delay and a signal-to-noise ratio of video signals subjected to digital-to-analog conversion and long-distance transmission can meet requirements. The FIR type asynchronous sampling rate conversion filter is realized through an FPGA, prototype filter coefficients of 24 basic phases are stored in the FPGA, filter coefficients on finer phases and optimization of the filter coefficients are realized through 3-order Lagrange interpolation, and filtering processing of 16 paths of video signals is simultaneously realized through one FPGA module, so that the performance of the asynchronous sampling rate conversion filter is effectively improved, and the filtering efficiency is improved. And the storage space of the coefficient is saved.

This invention is related to the method providing computation of the signal frequency components in an acceptable accuracy in contravention of the shifts in the phase and the magnitude information caused by asynchronous sampling of the signals in the process of asynchronous sampling of metal detectors wherein the received signal by the receiver unit (4) divided into time intervals, say timing values those are far shorter than the sampling period and correspond to nearest probable sampling of the ADC (6); providing the computation of the sine and cosine coefficients or exponents of time constant coefficients of the said timing value from previously located or dynamically generated coefficient table; resulting the elimination of the requirement of synchronous sampling and the requirement of the signal period is multiple of the sampling period.

The invention discloses a distributed model prediction anti-interference control method for a vehicle queue. The method comprises the following steps: obtaining a distributed model prediction controller objective function; obtaining a nominal expected acceleration control law of the distributed model prediction controller based on a KKT condition method; obtaining an uncertain disturbance value caused by unmodeled characteristics of the vehicle queue control system; calculating an expected acceleration; and carrying out distributed model prediction anti-interference control. Based on a following vehicle longitudinal dynamic model containing an uncertain disturbance term, a time lag dynamic model considering communication network time lag under an asynchronous sampling mechanism is established, and a designed compensation controller can estimate uncertain disturbance of a following vehicle caused by unmodeled characteristics of a system in real time. And the anti-interference capability of the vehicle queue controller is improved, so that the control precision, stability and robustness are improved.

The invention provides a multi-thread dynamic ring data acquisition method and device for a cloud computing center, and belongs to the technical field of information, and the method comprises the following steps: step 1, creating a timed task according to requirements, carrying out timed asynchronous sampling on various devices, and obtaining various configuration information of serial port converter devices; 2, grouping is carried out according to the IP address and the port of the serial port converter, and grouping information is obtained; step 3, constructing a thread pool, performing initialization according to the grouping information, and entering a thread execution process; and 4, according to the independent operation state of each thread, collecting the equipment monitoring data on the port and storing the equipment monitoring data in a database. According to the invention, efficient acquisition of the operation data of the power environment equipment can be realized, so that operation and maintenance management personnel can know the operation conditions and key data of all the power environment equipment in time, and a safety guarantee is provided for stable operation of a computing center.

The invention belongs to the technical field of monitoring instruments, and particularly relates to a nonlinear load monitoring method and device. The method comprises the following steps: acquiring a preprocessed sampling value signal parameter; calculating a sampling value signal parameter by adopting a zero-crossing method to obtain a power grid fundamental frequency; determining the number of sampling points of Fourier transform according to the fundamental frequency of the power grid, and establishing an orthogonal basis of forward Fourier transform according to the number of sampling points of Fourier transform and the fundamental frequency of the power grid; determining amplitudes and phases of a fundamental wave and each integer harmonic wave through an orthogonal basis of forward Fourier transform; and determining the amplitude and phase of inter-harmonics according to the amplitudes and phases of the fundamental waves and the integer-order harmonics, thereby realizing non-linear load monitoring. According to the method, the frequency difference caused by asynchronous sampling can be automatically adjusted, the frequency leakage and the fence effect caused by an asynchronous algorithm are reduced, compared with traditional DFT, when the frequency offset is 0.5%, the accuracy is improved by more than 10 times, and the calculation amount is only increased by one time of orthogonal basis calculation.

The invention relates to a broadband power grid harmonic rapid extraction method based on multi-scale cooperative measurement, and belongs to the field of power system harmonic analysis, and the method comprises the steps: constructing a multi-window parallel data buffer, and dynamically calculating the confidence coefficient weight of each window through a smooth transition function; respectively loading a rectangular window and a Blackman window by adopting a self-adaptive window function strategy, preliminarily acquiring full-band spectrum parameters by combining zero-padding FFT (Fast Fourier Transform), and introducing a phase alignment algorithm based on a time zero point to eliminate phase drift caused by asynchronous sampling; for random interference, a stability filtering mechanism is adopted to carry out validity verification. According to the method, multi-window parallel processing and an S-shaped smooth transition mechanism are organically combined, so that the unification of broadband harmonic transient fast locking and steady-state high-precision metering is realized, the dynamic adaptability and anti-noise reliability of measurement are remarkably improved, and a reliable technical basis is provided for broadband oscillation monitoring and control of a novel power system.

A multi-channel asynchronous sampling and parameter estimation method for ultra-wideband linear frequency modulation (LFM) signals achieves low-speed sampling and high-precision parameter measurement of LFM signals. The sampling framework incorporates three asynchronous sub-Nyquist sampling channels. To address frequency aliasing, two algorithms for estimating the frequency modulation coefficient K and clock interleaving parameters in undersampling environments are proposed. This method can recover signal parameters with a small number of samples even in highly noisy environments with extremely wide signal durations. Simulation results demonstrate that compared to other methods, the proposed method achieves higher reconstruction accuracy and noise robustness.

Aspects of this disclosure relate to an asynchronous sample rate converter (ASRC) comprising a signal input configured to receive an input signal having one or more input signal values at a first sample rate, a first clock input configured to receive an input clock signal corresponding to the first sample rate, a signal output configured to provide an output signal having one or more output signal values at a second sample rate, a second clock input configured to receive an output clock signal corresponding to the second sample rate, a zero-padding circuit configured to add a plurality of zero values following at least one of the one or more input signal values, and a filter configured to generate the output signal, the output signal having one or more output signal values based on the input signal.

This invention discloses a multi-source oscillating true random number generator based on configurable logic combination enable control. It introduces a user-controllable multi-logic combination mechanism, fusing internal entropy with external input to achieve dynamic and diversified generation of enable signals. Specifically, the true random number generator includes: a random signal generation module, a sampling module, a post-processing module, and a configurable logic combination control unit. The random signal generation module includes N ring oscillators RO_i, each with an independent enable port EN_i, outputting an oscillation signal only when EN_i=1, i=0~N-1. The sampling module is connected to the output of each ring oscillator for asynchronous sampling of the output. Typically, a low-frequency sampling clock can be used to asynchronously sample the high-frequency output of each ring oscillator. This invention enables dynamic and diversified generation of enable signals, improving the anti-attack capability of the entropy source.

This application discloses a frequency detection loop and conversion system for asynchronous sampling rate conversion, comprising: a counter for counting the period of a data source clock signal, outputting a current count value and an overflow indication signal; a main loop path for synchronizing the current count value to the clock domain of the target clock, and calculating the actual increment of the source clock domain count value within one target clock cycle based on the count value sampled in the current target clock cycle and the count value of the previous cycle, and performing a difference operation between the actual increment and the feedback signal to output an error signal; a feedforward calibration path for generating an overflow modulus equal to the counter when the overflow indication signal is received; and an integrator receiving the error signal and a calibration value, using the calibration value to offset the step disturbance introduced into the error value by the count value overflow event to obtain the frequency ratio of the data source clock and the target clock. This loop improves the adaptability and reliability of the asynchronous sampling rate conversion system in various complex scenarios.

The present invention provides a clock synchronization method and circuit for signals with different roll-offs. The method comprises: determining whether an asynchronous sampling sequence signal is a large roll-off signal or a small roll-off signal; if the asynchronous sampling sequence signal is a large roll-off signal, performing clock synchronization on the large roll-off signal by a first clock synchronization loop and outputting a first synchronization sequence signal; if the asynchronous sampling sequence signal is a small roll-off signal, performing clock synchronization on the small roll-off signal by a second clock synchronization loop and outputting a second synchronization sequence signal. The present invention is applicable to optical transmission systems with different roll-off coefficients and simultaneously meets the clock recovery requirements for signals of different rates with different roll-off coefficients, enabling a receiving end to perform sampling at an optimal sampling moment and thereby accurately recover information sent by a transmitting end.

This invention belongs to the field of optimization scheduling technology, specifically relating to a data-driven optimization scheduling method for equipment condition monitoring in power transmission projects. It includes: acquiring and normalizing multi-parameter asynchronous sampling data; triggering cross-parameter causal consistency checks, using a veto mechanism to block non-physical isolated noise, and fusing to obtain a comprehensive state vector sequence; applying asynchronous temporal causal correlation penalties to the optimization objective function of feature extraction, constraining feature activation to conform to the asymmetric sequential timing of physical failures, and extracting the main feature sequence; constructing a dual-track representation space representing normal aging and sudden failures, performing dual-track competitive deduction on the residual sequence, and triggering dynamic early warning. This invention can effectively reduce equipment aging baseline drift interference and provides a highly reliable data-driven optimization scheduling strategy for power grid equipment condition early warning and outage maintenance scheduling.

The invention discloses a consistency voting method and device for multi-source time synchronization data, and relates to the technical field of high-reliability time synchronization of avionics, time sensitive networks and the like. The method comprises the following steps: respectively acquiring synchronous data including local capture time, original time deviation and cumulative frequency ratio from a plurality of independent clock sources to obtain corresponding clock source data; performing validity screening on the clock source data; extrapolating the original time deviation of each effective clock source to a set voting moment based on the cumulative frequency ratio to obtain a projection time deviation; based on all projection time deviations, determining an internally consistent credible clock source subset through bounded closure consistency verification; and according to the verification result and the redundancy condition, calculating and outputting system time correction or executing degradation output. According to the method, false deviation caused by asynchronous sampling can be eliminated, deterministic fault isolation and fault-tolerant voting are realized, and the output safety and reliability of the system in a high-safety-requirement scene are guaranteed.