102 results about "Drift error" patented technology

The invention discloses a high-precision Beidou satellite navigation and positioning data acquisition method and system, particularly relates to the technical field of satellite navigation and positioning processing, and is used for solving the problem of positioning error increase caused by receiver hardware delay drift in the prior art. Inverting the first dynamic reference value by using carrier phase integral displacement, and extracting a third-order intermodulation component through coherent demodulation to generate a second dynamic reference value; adopting mutual information entropy analysis to select an effective reference value to calculate a residual error; fitting a theoretical value according to the carrier phase change rate to calculate deviation; marking a hardware drift error when the time domain correlation continuously exceeds a threshold value; finally, the ionosphere residual error is dynamically compensated to generate a corrected observation value, effective separation of the hardware drift error and the ionosphere residual error is realized, and the precision and reliability of long-time observation in a dynamic environment are improved.

The invention relates to the technical field of drainage control, in particular to a liquid level sensing drainage control method and system based on electronic and floating ball cooperative detection, and the method comprises the steps: fusing the angular displacement, capacitance value and acceleration disturbance data of a floating ball, and constructing a liquid level state observer; a dynamic compensation factor is introduced to strip liquid shaking interference, and an accurate liquid level reference value is obtained; a composite control vector is constructed based on the liquid level deviation and the change rate, and a drainage instruction is generated through analysis to control a valve to act; meanwhile, a self-adaptive feedback adjustment mechanism is established, observer parameters are dynamically calibrated through liquid level response residual errors, and the drifting error of an actuator is offset; according to the technical scheme, the robustness of drainage control can be remarkably improved.

The invention provides an anti-cracking performance evaluation method and system based on a concrete shrinkage rate. The method comprises the following steps: firstly, collecting shrinkage rate real-time sequence data and an acoustic emission signal flow of a concrete sample in a curing process, separating a high-frequency elastic wave energy attenuation characteristic value from the acoustic emission signal flow, and carrying out space-time coupling on the high-frequency elastic wave energy attenuation characteristic value and a shrinkage rate jump point in the shrinkage rate real-time sequence data to generate a crack initiation tendency index; then obtaining a calibrated crack initiation tendency index based on an ambient temperature hysteresis effect and a temperature drift error of the calibrated crack initiation tendency index, and then outputting an anti-crack performance grade according to a grading deviation degree between a pre-designed grading parameter and a fluctuation range of the calibrated crack initiation tendency index; according to the technical scheme provided by the invention, the essential defect that a traditional method cannot correlate material characteristics with environmental response is overcome, direct quantitative mapping of material structure performance and damage evolution is also realized, and a traceable material-level basis is provided for engineering anti-crack design.

The invention relates to the technical field of ultra-precision intelligent manufacturing, in particular to an ultra-precision machining error compensation method based on multi-modal information fusion, a medium and equipment. The method comprises the following steps: acquiring three-dimensional shape data of a workpiece through an in-situ measurement device, synchronously acquiring temperature field and vibration data, constructing a multi-modal space-time tensor, inputting a physical information neural network to decouple a static geometric error, a time-varying thermal drift error and a dynamic vibration error, and generating a four-dimensional correction tool path to realize reverse compensation. According to the method, physical constraints are embedded through a PINN model, the problem of false thermal drift misjudgment in a traditional method is solved, experiments show that the RMS error of free-form surface machining is reduced to 5 nm or below, and the precision is improved by 70% or above; and meanwhile, error decoupling is endowed with physical interpretability, the small sample generalization ability is enhanced, and a technical basis is provided for process optimization.

The invention discloses an inertial navigation system point position correction method and device based on a transverse geography system, and the method comprises the steps: obtaining transverse longitude and latitude calculated by inertial navigation updating and angle measurement information measured by a gyroscope at the current navigation time, building a transverse geography system navigation drift error model, in combination with a conversion relation between navigation parameters of a transverse geographic coordinate system and a traditional geographic coordinate system, a navigation drift error compensation parameter is calculated through a transverse longitude error and a transverse latitude error, and the transverse longitude of inertial navigation update calculation and the transverse latitude of inertial navigation update calculation are corrected; the corrected transverse longitude and the corrected transverse latitude are obtained, navigation drift error compensation parameters are projected to a transverse geographic coordinate system, angle measurement information measured by a gyroscope is corrected, and corrected angle measurement information is obtained. According to the method, the inertial navigation high-latitude long-endurance navigation precision can be improved based on position correction and drift error suppression of high-latitude transverse geographical system long-endurance navigation.

The invention discloses an intelligent oven temperature regulation and control system and method based on a self-adaptive control method, and the method comprises the steps: collecting first temperature data in an oven based on sensors, and obtaining a redundancy check temperature value through a redundancy check method based on multiple temperature sensors; calculating a current temperature drift error value according to the redundancy check temperature value, inputting the temperature drift error value and historical drift trend data into a temperature drift prediction model, and outputting a predicted temperature drift compensation value; fusing the redundancy check temperature value with the predicted temperature drift compensation value to generate a first fused temperature value; calculating a temperature stability index in the oven based on the first fusion temperature value; based on the temperature stability index and a preset temperature fluctuation target range, the heating power of the oven is adjusted through an adaptive frequency heating control algorithm; and second temperature data in the oven are collected again, and cross validation is carried out on the second temperature data and the first fusion temperature value so as to correct the historical drift trend data.

According to the flow control system and method for the filter element flow resistance performance test provided by the invention, the self-adaptive PID control closed loop taking the real-time flow resistance coefficient as the core feedback quantity is constructed, and the high-precision sensing network and the intelligent decision algorithm are integrated; the defect that traditional manual or simple PID control is difficult to adapt to filter element characteristic change and environmental interference is successfully overcome; specifically, the system dynamically collects flow, pressure difference and temperature signals and calculates the flow resistance coefficient of a filter element in real time, PID control parameters (proportion, integration and differential terms) are adjusted in a self-adaptive mode according to the flow resistance coefficient, meanwhile, the reference value of a sensor is periodically calibrated so as to eliminate drift errors, and an electric control valve is driven to rapidly and accurately respond; according to the method, the dynamic stability and static precision of flow control are remarkably improved, multi-source interference such as pipeline pressure pulsation and fluid temperature change is effectively compensated, the steady-state error of the test flow is greatly reduced, and finally the efficient and high-precision automatic test of the flow resistance performance of the filter element is achieved.

The invention relates to a multi-fault real-time early warning system for a power distribution cabinet, and relates to the technical field of power distribution cabinet detection. Partial discharge, mechanical vibration, insulation dielectric loss and environmental parameters are synchronously acquired through a distributed sensor array; performing electromagnetic interference filtering and wavelet noise reduction preprocessing on the original data, and extracting the characteristics of pulse frequency, vibration kurtosis, dielectric loss change rate and the like; a'rule base + random forest 'mixed model is adopted to identify fault types and confidence; fault positioning with the precision of + / -3cm is realized based on sensor delay inequality and a triangulation positioning algorithm, and fault components are determined in combination with a component topology mapping table; early warning levels are divided according to fault types, confidence coefficients and component importance, and customized reports are dynamically pushed; a standard signal is injected every 24 hours to generate a compensation coefficient, and the drift error of the sensor is corrected in real time.

The invention discloses a charging pile remote monitoring method and system based on an error model, and the method employs multi-axis dynamic bifurcation mapping and rotation residual aggregation to construct an error model based on multi-dimensional operation parameters, and can effectively capture the coupling characteristics of a drift error and a transient disturbance error through multi-axis disturbance bifurcation mapping. The method is more sensitive to complex fault response in actual operation, has higher multi-dimensional fitting capability and error generalization capability compared with a traditional method, can simulate periodic response offset of various operating parameters under different disturbance frequencies through rotation residual aggregation, generates stable error signals with definite directivity, and has the advantages of being high in accuracy and high in reliability. According to the method, dynamic prediction and guiding correction of the error trend can be achieved through the built error model, overfitting and error overcompensation are effectively avoided, accurate correction of the multi-dimensional operation parameters of the charging pile is achieved, and the judgment accuracy and response efficiency of remote monitoring of the charging pile are greatly improved.

The invention provides a temperature drift compensation method, device and equipment for a Hall current sensor, and relates to the technical field of Hall sensors. The method is applied to a temperature excursion compensation system, the temperature excursion compensation system comprises a temperature sensor, a microprocessor, a temperature excursion prediction model, a compensation signal generation module and a differential amplification circuit, and the temperature excursion compensation method comprises the following steps: acquiring environment temperature data of a Hall current sensor by using the temperature sensor; the microprocessor calculates a temperature drift error parameter corresponding to the current environment temperature data based on the environment temperature data and a temperature drift prediction model; the compensation signal generation module generates a corresponding compensation signal based on the temperature drift error parameter, and the compensation signal and the temperature drift error represented by the temperature drift error parameter are equal in size and opposite in direction; and superposing the compensation signal and an original sampling signal of the Hall current sensor through a differential amplification circuit to obtain a final current signal. The measurement accuracy of the Hall current sensor can be improved.

The invention relates to the technical field of unmanned aerial vehicles, provides an unmanned aerial vehicle fusion height estimation method, an unmanned aerial vehicle and a medium, and aims to solve the problem that a stable and credible height estimation value cannot be provided due to IMU measurement errors when both RTK and a barometer fail. The method comprises the following steps: performing high-frequency noise filtering on the original acceleration of the inertial measurement unit to obtain a first acceleration value; performing first-order difference on the speed of the global positioning system to obtain an acceleration compensation value; constructing a state space model containing a vertical speed, an acceleration and an accelerometer zero offset drift error; the first acceleration and the acceleration compensation value are fused through Kalman filtering, and drifting is estimated and stripped in real time; and outputting the smooth height by using trapezoidal integral. The device can output a whole-course continuous height estimation value with the drift distance smaller than 0.3 m / min and the bandwidth larger than or equal to 2 Hz, and is suitable for stable flight and uninterrupted operation when both the RTK and the barometer fail in complex scenes such as agricultural plant protection.

The invention relates to an aiming point dynamic stabilization and automatic calibration method fusing inertial measurement unit data, and belongs to the technical field of aiming equipment dynamic control. The method comprises the following steps: acquiring attitude data of an inertial measurement unit, and constructing a multi-source data matrix in combination with real-time position data of an aiming point and environmental interference data; after time sequence synchronization and drift suppression are carried out on multi-source data, associated feature vectors are extracted through multi-modal feature fusion; inputting a self-adaptive extended state observer to estimate total disturbance and generate an anti-interference compensation amount, constructing a kinetic model in combination with a nonlinear model prediction controller, solving a multi-objective optimization problem, and generating an attitude compensation control sequence to realize dynamic stability of an aiming point; and finally, aiming deviation is calculated in real time to trigger double-closed-loop calibration, an inner ring corrects the drift error of the inertial measurement unit, and an outer ring optimizes parameters of the observer and the controller. According to the invention, environmental interference and inertial drift are effectively suppressed, the dynamic aiming stability is improved, and the long-term aiming reliability is guaranteed through closed-loop calibration.

The invention relates to the technical field of temperature measurement, and discloses a mining distributed optical fiber temperature measurement method, system and device, and the method comprises the steps: synchronously injecting a temperature measurement pulse and a reference pulse, and collecting an optical fiber backscattering signal; strain-free temperature data are obtained through anti-strain demodulation and discrete temperature integration; performing strain compensation according to the real-time difference value to generate strain compensation temperature data; meanwhile, on the basis of optical fiber space distribution, weighting processing is conducted on the reference pulse temperature drift feature space to obtain compensation quantity; and the compensation amount and strain compensation data are fused, a mining global heat supply network is constructed through a temperature field reconstruction algorithm, and an anti-drift temperature field is output. A double-path anti-drift mechanism is realized through double pulse pairs, mechanical interference is eliminated in combination with anti-strain demodulation, and a temperature drift error is corrected in real time by utilizing space weighting and dynamic fusion, so that high-precision and high-stability distributed temperature monitoring is realized in a complex mine environment, and the problems of drift accumulation and precision attenuation in long-distance optical fiber temperature measurement are solved.

The invention belongs to the field of aerospace sensors, and discloses an intelligent wide-range pressure measurement system and method for an aero-engine. The system comprises a pressure acquisition module which comprises at least two pressure sensors with different measuring ranges and overlapped measuring intervals, and an electromagnetic valve group used for switching gas circuits of the pressure sensors; the intelligent control module communicates with an engine FADEC to obtain real-time working condition parameters, predicts the pressure change trend in combination with a pre-stored pneumatic model, switches gas circuits in advance before the pressure reaches a range critical point, triggers a special collection mode to lock an adaptive sensor under a transient working condition, and collects data at the highest sampling rate. The measurement method comprises the steps of working condition parameter acquisition, pressure trend prediction, advanced range switching and self-diagnosis calibration, and through multi-sensor data comparison under environment pressure or stable working conditions, temperature drift errors are dynamically compensated, and faults of the sensors and transmission pipelines are accurately diagnosed. According to the scheme, the problems of switching delay, data distortion, sensor precision drift and difficulty in fault discovery of a traditional system are effectively solved, high precision and stability of full-range pressure measurement are guaranteed, and reliable support is provided for precise regulation and control and flight safety of an aero-engine.

The application relates to the technical field of drainage control, in particular to a liquid level sensing drainage control method and system based on cooperation of an electronic device and a float ball, which comprises the following steps: fusing float ball angular displacement, capacitance value and acceleration disturbance data to construct a liquid level state observer; introducing a dynamic compensation factor to strip liquid sloshing interference and obtain an accurate liquid level reference value; constructing a composite control vector based on liquid level deviation and change rate to analyze and generate a drainage instruction to control a valve action; and simultaneously establishing an adaptive feedback adjustment mechanism to dynamically calibrate observer parameters by using liquid level response residual error and offset actuator drift error; and the technical scheme can significantly improve the robustness of drainage control.

The invention provides a drift error self-calibration method, circuit and system based on a capacitance water level detection system, and the method comprises the steps: obtaining a current count value of a reference pole piece, the current count value being used for representing a system drift amount irrelevant to a liquid level; acquiring a preset calibration reference value, comparing the calibration reference value with the current count value to obtain a comparison result, and determining whether the comparison result is in a preset normal interval; and when the comparison result is in the preset normal interval, determining a calibration factor according to the comparison result, and correcting the original count value of the detected pole piece by using the calibration factor to obtain a corrected detection value. Real-time self-calibration of the drift error is achieved in the operation process, and the precision and stability of water level detection are improved.

The application provides a spacecraft autonomous navigation method and electronic equipment. The spacecraft autonomous navigation method comprises the following steps: determining technical indexes of an optical sensor according to navigation requirements, and determining a configuration of the optical sensor according to orbit information of the spacecraft; collecting a star map by using the optical sensor with the determined technical indexes and configuration, processing the star map, identifying a refraction star and extracting a refraction angle; and using a Kalman filtering algorithm to perform information fusion on information output by an inertial navigation system and a refraction apparent height calculated based on the refraction angle, so as to correct navigation errors and obtain corrected navigation information. The application corrects drift errors of the inertial navigation by astronomical navigation, maintains continuous navigation information by using the inertial navigation when the astronomical system is unavailable, and achieves the purpose of improving navigation accuracy.

A method for error self-calibration and compensation of liquid floated gyro platform inertial navigation system is provided. In the condition of static base, the platform is locked at 13 frame angle positions, then the platform is controlled to track inertial coordinate system through the stable loop, and the measurement values of accelerometer and frame angle sensor are collected. The platform attitude angle in the earth coordinate system is calculated by using the platform attitude solution method of inertial navigation system, and is compared with the platform attitude angle measured by the platform frame angle sensor to obtain the attitude misalignment angle observation. The state misalignment angle sequence of each tracking inertial coordinate system process is linearly fitted to obtain the comprehensive angular velocity error of the inertial navigation system at each calibration position. The residual of the zero order, first order and cross term drift error coefficients is solved by using the total least squares algorithm, the estimated value of the measured parameter is corrected, and the self-calibration result of each drift error coefficient is obtained by iterative calculation until the iterative convergence criterion is met.

The application relates to the technical field of hydrogeological monitoring, in particular to a hydrogeological dynamic monitoring and analysis system and method based on big data; specifically, hydrogeological data is collected in real time, data denoising, space-time calibration and error correction are carried out in combination with edge computing, noise and drift error are eliminated by adopting variational mode decomposition, geological model constraint and wavelet transform, and the storage and transmission efficiency is optimized by increment encoding and Huffman encoding, and a quadratic form check code is generated to ensure data reliability; a space-time deep learning model and a self-attention mechanism are fused to predict a hydrological evolution trend, adaptive anomaly detection is realized by combining DBSCAN clustering and prediction error analysis; water resource allocation strategies are optimized through reinforcement learning, risk levels are evaluated in layers, and management schemes are generated, and finally, monitoring data, abnormal scores and decision results can be visually displayed. The application integrates multi-source data fusion, space-time modeling and intelligent decision-making, and improves hydrological monitoring precision and response efficiency.

The invention provides a spacecraft autonomous navigation method and electronic equipment. The autonomous navigation method for the spacecraft comprises the following steps: determining a technical index of an optical sensor according to a navigation requirement, and determining a configuration of the optical sensor according to orbit information of the spacecraft; acquiring a star map by using an optical sensor with determined technical indexes and configuration, processing the star map, identifying a refraction star and extracting a refraction angle; and carrying out information fusion on the information output by the inertial navigation system and the refraction apparent height calculated based on the refraction angle by using a Kalman filtering algorithm so as to correct the navigation error and obtain the corrected navigation information. The drifting error of the inertial navigation is corrected through the astronomical navigation, and the navigation information is kept continuous through the inertial navigation when the astronomical system is unavailable, so that the purpose of improving the navigation precision is achieved.

The application discloses a kind of MEMS device temperature drift error test methods based on space heat flow dynamic analysis, it belongs to the field of novel sensor device.The application solves the problem of low precision and poor real-time of existing test methods.The method of the application is as follows: first, install the MEMS device in a sealed high-low temperature chamber, then install a temperature sensor on the surface of the MEMS device;then, adjust the environmental temperature in the high-low temperature chamber from the lowest working temperature of the MEMS device to the highest working temperature according to the designed temperature control interval and temperature control time, and record the environmental temperature of the MEMS device and the output data of the MEMS device in real time during the rising process of the environmental temperature in the high-low temperature chamber;subtract the recorded output data of the MEMS device from the reference value of the output data of the MEMS device to obtain the temperature drift error data of the MEMS device.The method of the application can be applied to the test of temperature drift error of MEMS device.

The application provides a high-temperature drift compensation method and system for a resistivity signal while drilling, and belongs to the technical field of measurement while drilling. The method comprises the following steps: functionally dividing a resistivity measurement system while drilling to construct a set of sensing link nodes; injecting a temperature-sensitive disturbance excitation signal into the resistivity measurement system while drilling to obtain a composite excitation signal set, and extracting a multi-dimensional response observation vector of the composite excitation signal set; establishing a temperature-sensitive mapping relationship matrix of the set of sensing link nodes and the multi-dimensional response observation vector; adaptively calculating the number of decoupling compensation channels of the temperature-sensitive mapping relationship matrix to obtain the number of decoupling compensation channels; and constructing a multi-channel decoupling compensation model for compensating and fusing the original resistivity signal of the resistivity measurement system while drilling. Through fine modeling and channel-by-channel compensation of the temperature drift of each node of the sensing link, residual drift error is effectively reduced, and the resistivity measurement accuracy while drilling is improved.

The invention discloses an oil-gas-water three-phase interface analyzer, which is characterized in that a dynamic simulation module simulates high-temperature and high-pressure oil reservoir conditions based on a dynamic environment simulation bin, and a multi-modal detection module measures dielectric constants, phase motion velocity fields and component concentrations based on a multi-physical field sensing array; the dynamic calibration module carries out temperature-pressure coupling effect monitoring and compensation based on a Pt / IrO2 dual-material reference electrode and a joint compensation model, and the phase state identification module carries out phase state real-time identification and classification based on a constructed capsule network; through cooperation of the Pt / IrO2 dual-material reference electrode and the joint compensation model, sensor temperature drift errors caused by high temperature and high pressure are eliminated in real time, sensor signal noise can be effectively inhibited, the measurement precision after calibration is improved, meanwhile, through the detection step length of the dynamic coupling effect, the reference stability is improved, and the measurement accuracy is improved. And real environment simulation of the dynamic environment simulation bin can eliminate sampling distortion and improve data reliability.

The invention discloses a main cable strand torsion detection method and system based on angles of a torpedo clamp and a gyroscope, and the method comprises the steps: completing the arrangement of a hardware system required by monitoring, and completing the adjustment, so that the axis of the torpedo clamp is parallel to the axis of a cable strand; the gyroscope continuously collects an angular velocity signal of cable strand torsion; collecting the angular velocity at the current moment and angular velocity predicted values at not less than two midpoint moments and the next moment within the set integral step length, and further carrying out weighted calculation on the sampling points to obtain angle increment; a reset signal is triggered through magnetic encoder hardware to form zero-crossing counting, and functional correction of angle accumulation of the gyroscope without an upper limit but with a drift error is completed by combining an angle accumulation formula and integrating segmented angle increment and turn number metering; measuring error correction is completed through an environment compensation model; and finally outputting an angle for eliminating the influence of temperature drift and construction vibration.

The invention discloses a temperature drift self-compensation system of a torque sensor, and belongs to the technical field of sensor measurement and signal compensation. The system mainly solves the technical problem that the measurement precision of the torque sensor is reduced due to the change of environment temperature. The system comprises a multi-dimensional signal sensing module, an intelligent fusion processing module, a self-calibration management module and an integrated output interface module, and torque and temperature distribution signals are synchronously collected through a multi-sensor array arranged on a torque sensitive element; and carrying out real-time fusion calculation and nonlinear correction on the temperature drift error by using an embedded multivariable compensation algorithm, optimizing compensation parameters by combining online learning and offline calibration, and finally outputting standardized anti-interference torque data through high-density integrated packaging. According to the invention, dynamic self-compensation of temperature drift is realized, and the measurement precision and long-term stability of the torque sensor in a full temperature range are significantly improved.

The invention relates to the technical field of inertial navigation, and discloses a temperature compensation method and system for an inertial navigation accelerometer, and the method comprises the steps: receiving a digital pulse frequency signal from an I / F conversion circuit, the digital pulse frequency signal comprising a superposed temperature drift error of a quartz accelerometer and the I / F conversion circuit; calling a high-order nonlinear temperature compensation algorithm integrated in the central chip according to the current environment temperature to obtain a corresponding temperature compensation value; and the received digital pulse frequency signal is corrected by using the temperature compensation value to obtain a target acceleration measurement value, so that the hardware cost is reduced, the high measurement precision of the system is kept, and the use requirement of high-precision inertial navigation is met.

This invention relates to the field of silicon pressure sensor detection technology, and more specifically, to a method, compensation circuit, and mainboard for compensating the measurement accuracy of silicon pressure sensors. This invention proposes a method for linear calibration, which can correct nonlinear errors as needed. This invention integrates a temperature detection module into the target silicon pressure sensor, enabling temperature detection of the target silicon pressure sensor, and provides a temperature compensation method that can promptly correct the temperature drift error of the target silicon pressure sensor. Furthermore, the resources consumed by the linear calibration and temperature compensation calculations of this invention are far less than those of traditional lookup table methods or other conventional methods. This invention solves the problem of two types of errors existing in current silicon pressure sensors.

Disclosed are systems, apparatuses, methods, and non-transitory media for improving user equipment (UE) positioning by reducing round-trip-time (RTT) measurement errors that may result from clock-drift between network nodes. In some aspects, RTT measurement error can be mitigated through modifications to resource signaling schedules at a UE and / or gNB, for example, based on resource configuration information specifying a time-gap for signaling resource transmission.

The invention relates to the technical field of industrial measurement, and discloses a collaborative automatic measurement system for industrial field multivariable features, comprising: an acquisition module for generating a sampling data stream with a synchronous timestamp generated by a hardware synchronous clock; the wave velocity calculation module is used for extracting the real-time deviation amount of the main variable sampling value relative to the reference value and determining the real-time wave velocity of the propagation medium by using a first-order linear modulation equation; the dynamic addressing module is used for calculating the propagation lag time length of the auxiliary variable relative to the main variable, and backtracking in the historical cache queue according to the propagation lag time length so as to extract the auxiliary variable historical sampling value with the aligned time sequence; according to the method, time axis accumulated drift errors caused by violent evolution of propagation medium attributes can be countered, and it is ensured that the system maintains extremely high measurement fidelity and physical stability under the full-dynamic working condition.

The present application relates to the technical field of wireless communication, in particular to a time synchronization method based on propagation path prediction and agent strategy.The present application constructs a channel scene fingerprint by extracting multi-dimensional features of wireless signals, identifies a wireless transmission scene and adaptively updates an observation noise covariance matrix of a Kalman filter to dynamically suppress environmental interference;collects node state data to establish a local clock source temperature-frequency model, predicts future cumulative drift error and initiates a preemptive synchronization request only when the error is out of limit;uses a hardware logic unit to construct a multi-phase parallel sampling circuit to obtain an air interface timing deviation with sub-clock cycle accuracy;and intelligently switches a closed-loop correction mode and a digital hold mode according to signal state.The present application effectively overcomes the coupling effects of non-line-of-sight propagation multipath effect and crystal oscillator nonlinear drift through a hierarchical asynchronous control architecture, and realizes nanosecond-level high-precision continuous time synchronization in a complex denial environment.