274 results about "Clock error" patented technology

The invention relates to the technical field of data processing, and discloses a PTP network performance monitoring method and system based on big data analysis, and a medium. The method comprises the following steps: acquiring PTP message data, equipment state data and RTP stream data; preprocessing the data and calculating a clock error; constructing a time sequence database and an analysis model; real-time monitoring and anomaly detection are executed; performing performance scoring and fault positioning by applying machine learning; and carrying out network optimization and predictive maintenance. According to the PTP network performance monitoring method based on big data analysis, global state monitoring, intelligent anomaly detection, accurate fault positioning and predictive maintenance of the PTP network are achieved, and therefore the high-precision time synchronization requirement of a broadcast and television IP making and broadcasting system is guaranteed.

The invention discloses a PPP-RTK time delay processing method and device in conversion from SSR to OSR, and relates to the technical field of global navigation satellite system positioning, and the method comprises the steps: converting orbit, clock error, ionosphere and troposphere delay SSR parameters provided by a server into OSR virtual observation values through geometric distance calculation and projection function mapping; based on a constant velocity model and a static random process, predicting a correction amount of a future moment, and correcting an OSR virtual observation value through state transition matrix compensation time delay; combining server side parameters and user side observation data, recursively generating an error covariance matrix, dynamically adjusting a state prediction weight, and obtaining covariance information through adaptive filtering optimization positioning calculation; and realizing ambiguity rapid fixation and centimeter-level positioning by using the corrected OSR observation value and covariance information. According to the method, real-time centimeter-level positioning in a high-delay scene is realized through a dynamic correction value prediction method and a recursive covariance estimation method.

The invention discloses a satellite clock error forecasting method based on a Transform architecture deep learning model, and the method comprises the steps: carrying out the primary difference of historical satellite clock error data, obtaining a clock error difference time sequence, processing the clock error difference time sequence, and constructing a data set; a time sequence prediction model is constructed, a data set is used for training, in the time sequence prediction model, through sampling S, convolution C and interaction I operations of an SCI module, features of multiple time resolutions of the satellite clock error are extracted, and the satellite clock error prediction precision is improved; and performing prediction by using the trained time sequence prediction model to obtain satellite clock error prediction data. According to the method, the satellite prediction precision and stability are improved by utilizing the extraction capability of the Transform architecture on long-distance dependence; and the model is trained by using historical satellite clock error data, so that high-precision satellite clock error prediction is realized.

The invention provides a model and data driven low-orbit navigation enhanced satellite clock error forecasting method and equipment, and the method comprises the steps: carrying out the preprocessing of original clock error data of a low-orbit satellite: converting clock error time domain data into frequency domain data through time-frequency conversion, and employing a quartile method to recognize and eliminate frequency domain outliers and corresponding time domain abnormal values; constructing a frequency domain energy model and extracting periodic terms, including performing power spectral density analysis on the preprocessed clock error frequency domain data, and adaptively extracting significant periodic components of the low earth orbit satellite clock error through a threshold value; establishing a polynomial low earth orbit satellite clock error forecasting model considering periodic term correction and forecasting a clock error sequence to obtain a corresponding fitting residual error sequence and a clock error forecasting value; and normalizing the fitting residual error sequence, inputting the fitting residual error sequence into the gating circulation unit neural network, training and forecasting by adopting a window sliding input mode, and outputting a residual error prediction result. According to the method, the interpretability of the forecasting result can be effectively improved while the low earth orbit satellite clock error forecasting precision and stability are improved.

The invention belongs to the technical field of time service, and relates to a Beidou time service delay processing method and device based on PPP-B2b. The method comprises the following steps: acquiring a navigation signal of a current epoch to obtain an observation value, a broadcast ephemeris and precise point positioning service information; obtaining a precision satellite position and a precision satellite clock error according to the broadcast ephemeris and the precision single-point positioning service information; forecasting to obtain a forecast value; calculating a difference value between the forecast value and the observation value, when the difference value does not exceed a preset threshold value, establishing a satellite pseudo-range and carrier phase ionosphere-free combination observation equation, establishing an antenna position constraint virtual observation equation, and performing resolving according to the combination observation equation and the virtual observation equation to obtain a receiver clock error result; and correcting the pulse per second according to a clock error result of the receiver so as to carry out delay time service. According to the invention, accurate time service can be realized, interference and environmental influence are avoided, and the convergence speed is high.

The invention relates to the cross technical field of satellite navigation and wireless positioning technology, in particular to a real-time dynamic high-precision positioning method based on Beidou and UWB tight coupling, which solves the problem that in the prior art, error coupling in Beidou and UWB observation data is not fully solved, and especially in a high-speed dynamic scene, the positioning accuracy is greatly improved. The mutual influence of the Beidou receiver clock error, the UWB base station clock error and the multi-path error causes the continuous accumulation of the error and the significant reduction of the positioning precision. The invention discloses a real-time dynamic high-precision positioning method based on Beidou and UWB tight coupling. A data preprocessing and space-time alignment module, an error joint estimation model, an ambiguity fast fixing algorithm, a geometric constraint enhanced positioning engine module and a dynamic coordinate conversion and fusion output module are included. According to the mode provided by the invention, a highly integrated multi-model Kalman filtering architecture is adopted, so that synchronous and accurate compensation of the clock error of the Beidou receiver, the time delay of the UWB base station and the multi-path effect is realized.

The invention provides an electric energy meter clock error calibration system and calibration method. The method comprises the steps of presetting a control time table of a high and low temperature box and at least two automatic trimming schemes; the upper computer adjusts the temperature of the high-low temperature box according to the control time table; switching the connected meter numbers through a clock signal relay, obtaining a daily timing error message of each meter number in each round of test, and analyzing to obtain PPM and S / D data; carrying out mean value calculation on all PPM and all S / D data obtained by each meter number in each round of test, and obtaining a clock error value comprising a PPM mean value and an S / D mean value; after each round of test is finished, according to a clock error value corresponding to the meter number, assembling to obtain an RTC trimming frame according to the selected automatic trimming scheme, and sending the RTC trimming frame; and verifying an RTC trimming result. According to the invention, full-automatic test trimming can be realized, and the efficiency and precision of test and calibration are significantly improved.

The invention belongs to the technical field of satellite positioning, and particularly discloses a high-precision PPP (Point-to-Point Protocol) positioning method based on SSR (Simple Sequence Repeat) correction prediction, which comprises the following steps that: a receiver receives and stores an SSR correction in real time to obtain an SSR sequence; inputting the stored SSR sequence into a pre-trained prediction model, and outputting an SSR correction number prediction value in a future time period; the broadcast ephemeris is corrected through the predicted SSR correction number, and a precise satellite orbit and clock correction are obtained; and constructing an ionosphere-free combination model based on the double-frequency observation value, and resolving the position of the receiver through Kalman filtering in combination with the corrected satellite orbit and clock correction. According to the method, long-time-sequence prediction is carried out on the SSR correction number through the prediction model, the problem of positioning precision jump caused by satellite correction data interruption is effectively solved, it is guaranteed that PPP positioning continuously outputs centimeter-level precision results under the scenes of signal shielding, network delay and the like, and the limitation that traditional PPP strongly depends on real-time SSR data is broken through.

The invention provides a low orbit constellation autonomous time synchronization method based on a Ka inter-satellite link, and relates to the field of satellite navigation and time frequency transmission, and the method comprises the steps: obtaining a Ka wave band standard timestamp signal of a ground station, and carrying out the taming of a satellite clock, and obtaining a constellation initial anchor node; carrying out distance measurement in two directions by using time division multiplexing, and correcting motion time delay to obtain corrected inter-satellite clock difference data; carrying out clock error data fusion, inhibiting long-term drift, and generating a constellation unified time scale; based on the constellation unified time scale, topology dynamic optimization is carried out, and an optimized network topology is obtained; kalman filtering and polynomial prediction are utilized to maintain a time reference, and an LSTM neural network is combined to predict frequency drift change, so that an autonomous time keeping result is obtained; and verifying an abnormal clock error through majority voting of adjacent nodes, and if the voting fails, isolating a fault and reversely calculating a recovery value. The method is used for overcoming the defect that fiber time frequency transmission in the prior art is limited by ground fixed facilities and cannot be applied to inter-satellite scenes.

The invention relates to the technical field of spacecraft autonomous time keeping, and discloses a satellite autonomous clock error estimation method, a reference establishment method, a device and a product. The satellite autonomous clock error estimation method comprises the following steps: constructing a laser communication link between satellites based on a laser communication list; any satellite carrying an atomic clock with the precision not lower than E-16 magnitude is determined as a reference satellite; calculating a target clock difference between a target satellite and the reference satellite based on a first clock difference between adjacent satellites in the laser communication link; the target satellite is any satellite except the reference satellite in the navigation satellite constellation system; and the adjacent satellites directly communicate with each other through a laser communication link. By adopting the method, a navigation constellation system running in a high orbit can realize space-based autonomous high-precision clock error estimation and clock synchronization in a global range.

The invention discloses a method for accelerating convergence of GNSS (Global Navigation Satellite System) real-time satellite clock error estimation, which belongs to the field of satellite positioning time service and comprises the following steps of: constructing an error equation corresponding to each GNSS satellite of each observation station; combining the error equations respectively corresponding to the plurality of GNSS satellites of the plurality of observation stations to obtain an error equation in a matrix form; according to the GNSS real-time satellite clock error estimation method, the GNSS ultra-fast forecast satellite clock error is introduced, the process of real-time satellite clock error estimation through the Kalman filtering method is restrained, and due to the fact that the precision of the GNSS ultra-fast forecast satellite clock error is high, convergence of GNSS real-time satellite clock error estimation is accelerated, and a high-reliability GNSS real-time satellite clock error product is obtained.

The invention provides a ground positioning method and device fusing Doppler and pseudo-range of a low-orbit satellite, and the method comprises the steps: collecting pseudo-range observation values and Doppler frequency shift observation values of a plurality of epoch signals through a ground receiver in a transit time period of the low-orbit satellite by employing an enhanced link between the low-orbit satellite and the ground, and obtaining a Doppler frequency shift observation value of the multiple epoch signals; the orbital position, the running speed and the clock error of the low-orbit satellite corresponding to the epoch signal are collected; calculating the position, speed and clock error of the low-orbit satellite at the emission moment of each epoch signal; when the number of the accumulated observation equations reaches a preset threshold value, a fixed weight least square algorithm is adopted to fuse pseudo-range observation values and Doppler information to solve the position of a ground user receiving end; performing post-test residual error test on the calculation result; and if the after-test residual error test is passed, outputting a positioning result.

The invention discloses a segmented positioning measurement method and device for seismic data transmission delay, and belongs to the technical field of measurement. The method comprises the following steps: receiving a first data packet sent by a target data collector and a second data packet sent by a reference data collector; the reference data collector is deployed according to the deployment mode of the target data collector, and a collection port of the reference data collector is connected with a pulse signal; calculating by using the first data packet to obtain a first measurement delay, and calculating by using the second data packet to obtain a second measurement delay and an internal clock difference of the reference data collector; wherein the measurement delay is the total delay of the data on the whole transmission path; and determining the internal clock difference of the target data collector by using the internal clock difference of the reference data collector, the first measurement delay and the second measurement delay. According to the invention, segmented positioning measurement of transmission delay can be realized.

The invention discloses a whole network reference unified Beidou B2b constant deviation estimation method, which comprises the following steps of: firstly, performing Beidou B2b clock error reference transformation by applying Beidou B2b service DCB information to realize constant deviation parameterization separation; secondly, adding a single-station virtual reference, and constructing a constant deviation full-rank estimation model based on a single station; then, the constant deviation information of the whole network is integrated, the reference difference of a plurality of single station solutions is eliminated, and B2b constant deviation estimation with the unified reference of the whole network is achieved; and finally, under the constant deviation constraint of the unified reference, the performance of terminal positioning convergence speed, precision and the like is improved. According to the method, constant deviation estimation based on the whole network is realized, the stability and availability of Beidou B2b constant deviation estimation are improved, the problems of to-be-estimated parameter hopping and even filtering divergence possibly caused when a user side adopts constant deviations of different references are avoided, and then rapid convergence and instantaneous horizontal decimeter-level positioning of a terminal user are guaranteed.

The invention discloses a real-time GNSS satellite clock error estimation and analysis method based on different references, and relates to the technical field of satellite navigation positioning, and the method comprises the steps: data input, which is used for collecting needed real-time data; the data provides necessary basic information for a subsequent processing flow; the data processing is used for data processing of real-time clock error estimation; in the operation process of a GNSS, the accuracy of time is directly related to the satellite-ground distance, and then the positioning precision of a user is influenced. Therefore, ensuring time accuracy becomes a core element of GNSS design and operation. According to the real-time GNSS satellite clock error estimation and analysis method based on different references, real-time satellite clock error estimation is carried out by adopting epoch difference ionosphere-free combination observation values. The method can effectively eliminate ionosphere delay and integer ambiguity, significantly reduce the number of to-be-estimated parameters, and further improve the precision and efficiency of real-time clock error estimation.

The invention relates to an ephemeris broadcast and time synchronization method for Beidou pseudolite deformation monitoring, and belongs to the technical field of satellite positioning. The method comprises the following steps: constructing a linearization error equation based on a pseudo-range observation value, and solving a clock error correction amount in combination with a robust iterative algorithm to improve the time synchronization precision; analyzing ephemeris parameters of the Beidou GEO satellite, calculating earth-fixed coordinates of the Beidou GEO satellite, and rotating and adapting the earth-fixed coordinates; establishing an affine transformation relationship between the pseudo-satellite coordinates and GEO ephemeris, and generating optimized pseudo-satellite ephemeris data; and a time synchronization protocol is designed, and clock skew is compensated through bidirectional timestamp interaction of the main base station and the pseudo satellite. According to the method, nanosecond synchronization of the pseudo-satellite and the real satellite is realized, the ephemeris parameter redundancy problem of the static pseudo-satellite is optimized, multi-system cooperative work is supported, and the deformation monitoring reliability and precision under the complex terrain are remarkably improved.

The invention relates to an RTC clock chip frequency drift accurate modeling method and device based on GNSS clock difference data. The method comprises the following steps: receiving GNSS clock error data, reading RTC clock chip data according to a preset interval, and performing time synchronization on the RTC clock chip data by using the GNSS clock error data; in a preset time window, calculating a frequency difference value sequence according to the GNSS clock difference data and the RTC clock chip data; the GNSS clock difference data and the RTC clock chip data serve as input samples of a pre-constructed neural network model, the frequency difference value sequence serves as an output label, the neural network model is trained, and the trained neural network model is obtained; and inputting real-time RTC clock chip data into the trained neural network model, and outputting a current RTC clock chip frequency drift prediction value. By adopting the method, the frequency drift modeling precision of the RTC clock chip can be improved.

The invention discloses an underwater navigation positioning method and system based on supercontinuum laser intensity correlation. The system comprises a master control system, a transmitting end underwater base station and a receiving end underwater carrier. The method comprises the following steps: firstly, a main control system generates a super-continuum laser signal with pseudo-random code information, the super-continuum laser signal is separated into optical signals of different wavelength channels through a light splitting module, and the optical signals are respectively sent to underwater base stations uniquely corresponding to the wavelength channels and are emitted; then the underwater carrier receives optical signals from a plurality of base stations, identifies a signal source base station according to wavelength identification, performs correlation operation with a locally copied pseudo-random code sequence, determines signal arrival time TOA and calculates a pseudo-range; and finally, resolving the three-dimensional coordinate and local clock error result of the underwater carrier by combining the pseudo-ranges, absolute positions and transmission delays of the underwater carrier and the at least four base stations. According to the invention, high-precision and high-robustness absolute positioning of the underwater environment is realized, and the reliability of long-time positioning and navigation of the underwater robot is enhanced.

The invention provides a portable mobile base station data service and management method and system, and relates to the technical field of satellite navigation and high-precision positioning, and the method comprises the steps: analyzing broadcast ephemeris and clock error parameters according to an interface control file protocol; an RTCM SSR data stream is obtained; decoding the RTCM SSR data stream to obtain an SSR correction number; based on the GNSS observation value, the satellite navigation message and the SSR correction number, calculating to obtain an accurate coordinate of the base station; the convergence state of the accurate coordinates of the reference station is evaluated in real time, and parameter configuration is carried out; the GNSS observation value is packaged into an RTCM MSM4 telegraph text, and the RTCM MSM4 telegraph text and an RTCM 1005 telegraph text packaged by the accurate coordinates of the reference station are combined and coded to generate a real-time RTCM differential data stream; and according to the NTRIP protocol, the RTCM differential data stream is broadcasted to each terminal through a TCP / IP interface. According to the invention, high-precision reference station positioning and multi-terminal service are realized.

The invention discloses a real-time position obtaining method and system based on Beidou satellite positioning, and relates to the technical field of high-precision positioning, and the method comprises the steps: receiving a Beidou satellite signal, obtaining an original observation value, obtaining precise ephemeris, clock correction information and error correction parameters, carrying out the decoding and preprocessing of the obtained data, and carrying out the decoding and preprocessing of the obtained data; and carrying out position calculation according to the preprocessed data and the error correction parameters to obtain real-time position coordinates, transmitting the real-time position coordinates to a remote monitoring center, continuously updating the satellite signals and the error correction parameters, and carrying out dynamic monitoring. Through the steps of receiving Beidou satellite signals, acquiring precise ephemeris and error information, decoding and preprocessing the signals, resolving the position, dynamically monitoring and the like, high-precision and stable real-time positioning is realized, the influence of ionosphere and troposphere errors and a multi-path effect is effectively reduced, and the positioning precision and reliability are improved.

The invention relates to a data extraction processing method and system for multi-modal simulation of diagnosis and treatment behaviors. The method and system are mainly applied to large-scale, high-frequency and multi-source data processing in a medical scene. Physical connection and protocol adaptation are established through edge computing nodes, diagnosis and treatment equipment and sensors, and data such as physiological parameters, diagnosis and treatment behaviors and case information are collected through a multi-protocol analysis engine. And then constructing a distributed clock synchronization network to carry out cross-device clock calibration, and processing the clock drift problem by adopting a dynamic buffer adjustment strategy. Thirdly, performing three-stage filtering processing and a tensor slicing strategy on the acquired data to realize intra-modal partitioning operation; and finally, integrating multi-dimensional results through a differentiable voting mechanism, and defining a confidence fusion function to calculate a weight coefficient. According to the invention, the problems of clock error between devices, processing capability limitation, algorithm optimization and the like in the prior art can be solved, and the accuracy and high efficiency of data processing are ensured.

The invention relates to the technical field of computers, and particularly provides a time service method and device of a low-orbit satellite, electronic equipment and a storage medium. The method comprises the following steps: acquiring a digital navigation signal, and suppressing an interference spectral line of the digital navigation signal to obtain a suppressed digital navigation signal; performing amplitude-frequency compensation on the suppressed digital navigation signal to obtain a target navigation signal; correcting the pseudo-range observation model and the carrier phase observation model of the low-orbit satellite based on an error model of precise point positioning to obtain a corrected pseudo-range observation model and a corrected carrier phase observation model; and carrying out precise point positioning calculation on the corrected pseudo-range observation model, the corrected carrier phase observation model and the navigation message of the target navigation signal to obtain clock error data of the target navigation signal, and carrying out time service on a local clock according to the clock error data.

The invention discloses a Beidou reference station operation state AI diagnosis and remote maintenance method, and belongs to the technical field of satellite navigation system operation and maintenance. The method comprises the following steps: acquiring reference station operation data including satellite signal quality, equipment temperature, voltage, clock error and the like, and performing exception elimination, missing value filling and de-noising processing; key features such as signal intensity fluctuation, temperature change trend and power supply stability are extracted; training a deep learning model fusing the LSTM and the CNN to perform operation state prediction; fault diagnosis and anomaly detection are carried out based on model output, and a threshold value is dynamically set; formulating a maintenance scheme according to a diagnosis result, and executing remote maintenance operation through an MQTT protocol of TLS1. 2 + bidirectional authentication; and the maintenance feedback is used for model optimization and online learning updating. According to the method, the fault identification accuracy of the reference station can be improved, the maintenance response time is shortened, and the intelligent and autonomous remote operation and maintenance capability is realized.

The invention relates to a PPP-B2b satellite clock correction value abnormal jump processing method and system, and the method comprises the steps: carrying out the calculation of a reference variation when a GPS reference satellite of a current epoch and a GPS reference satellite of a previous epoch are switched, and correcting a clock correction value; superposing the clock error correction values of the GPS satellite and the BDS-3 satellite to a broadcast ephemeris, and recovering to obtain a precise satellite clock error; calculating a precision satellite clock difference value of each satellite; when the precision satellite clock difference value of the target satellite is greater than a preset threshold value, determining that abnormal jump exists; if the target satellite is not the reference satellite, initializing clock error exception processing parameters in a positioning observation equation of the target satellite; if the satellite is the reference satellite, initializing clock error exception processing parameters in the positioning observation equations of all satellites of the current epoch; therefore, the abnormal jump part of the clock correction value is absorbed. The real-time PPP positioning result jump caused by the clock error abnormal value is avoided, and the continuity and reliability of the PPP-B2b precision positioning result are improved.

The invention relates to the technical field of satellite navigation and time synchronization, in particular to a satellite clock error prediction method and system. According to the method, a satellite clock error prediction model is constructed, multi-scale features of input data are extracted, sequence decomposition is performed on the input data, decomposed seasonal items are subjected to self-correlation processing through an encoder and a decoder, and the data are subjected to sequence decomposition in the encoder and the decoder; and the season item output by the decoder and the trend item after each time of sequence decomposition are subjected to dimension superposition and then converted into clock error prediction data. The method comprises multiple times of sequence decomposition, adopts a progressive decomposition architecture to peel noise interference step by step, purifies trend components in seasonal terms through time convolution operation, and optimizes a trend accumulation process through trend term superposition by utilizing a residual feedback mechanism, so that the purity of trend extraction is remarkably improved, and the method is suitable for large-scale popularization and application. And meanwhile, the phase integrity of the seasonal components is kept, so that the model can accurately model the multi-scale characteristics of the clock error data.

The invention discloses a blind separation and time-frequency noise reduction combined comprehensive pulsar time establishing method. The method comprises the following steps: selecting a pulsar meeting a preset requirement; processing the timing residual error of the selected pulsar; establishing a mixed signal model, iteratively solving an anti-mixing matrix through an approximate negentropy contrast function, and separating independent components from the multi-dimensional features; carrying out Pearson correlation analysis on each separated independent component and reference time; and performing multi-scale decomposition on the selected common-mode clock difference signal by adopting a plurality of wavelet bases, and performing Bayesian soft threshold processing to obtain the final comprehensive pulsar time. According to the method, the long-term stability of the comprehensive pulsar is improved, the common problems of aliasing and modal mixing in a high-noise environment in the prior art are solved, and the extracted signal is more stable.

The invention provides a navigation satellite short-term clock error forecasting method considering forecasting residual error periods, and relates to the technical field of satellite navigation. The method comprises the following steps: acquiring satellite real-time clock error data, and determining a modeling time window length and a forecast time length; performing epoch-by-epoch real-time sliding forecast on the satellite clock error by using a linear model, and subtracting the forecast clock error from the real-time clock error to obtain an error sequence; performing spectral analysis on the error sequence, and identifying main periodic terms; setting a scaling parameter related to the forecast time length, and establishing a periodic model in combination with the main periodic term fitting error sequence; in the subsequent sliding forecasting, the linear model is used for forecasting the clock error main trend, meanwhile, the periodic model is used for forecasting the residual periodic error, and the two results are added to obtain a final forecasting value. According to the method, by capturing the periodic error in the clock error, the short-term clock error forecasting precision is remarkably improved, the problems of real-time clock error service delay and data loss can be solved, and support is provided for real-time precise single-point positioning.

The invention discloses a video clock recovery method and device, a storage medium and electronic equipment, and the method comprises the steps: extracting a video time sequence parameter from an auxiliary information packet when the auxiliary information packet transmitted by a transmitting end is received; configuring a phase-locked loop according to the video time sequence parameter, and generating a video clock; when the video data is received, counting the actual clock number of each video line by using a video clock so as to obtain the current clock error of each video line; performing coarse adjustment on the video clock according to the current clock error until the video clock is initially converged; and performing fine adjustment on the video clock after preliminary convergence until the video clock reaches a stable state. According to the invention, the precision of video clock recovery can be improved.

The invention relates to a power system time service attack-oriented interference detection method and device. The method comprises the following steps: setting a false alarm probability, a whitening filter order and a sliding window size; calculating a prediction model of a whitening filter for predicting the time service signal according to the time service signal output by the time synchronization device under the normal time service condition; using the prediction model to predict the clock error of the next moment to obtain a prediction value, and obtaining a normal residual error value according to the prediction value and the actual value of the clock error of the next moment; detecting the normal residual error value in a sliding manner by adopting a sliding window to obtain a window clock error average value of the clock error in each window, and a normal clock error average value and a normal clock error variance; and according to the false alarm probability, the window clock error average value, the normal clock error average value and the normal clock error variance, respectively constructing a T test model and a Zscore detection model for joint detection. By adopting the method, rapid interference detection can be realized.

The invention discloses a self-adaptive control system for Qbv and clock synchronization cooperative adjustment in a TSN, which comprises a dynamic gating adjustment module and a stability guarantee mechanism module, and realizes closed-loop cooperative control of Qbv gating scheduling and gPTP clock synchronization in the TSN by constructing a dynamic gating adjustment system and a stability guarantee mechanism. According to the method, the problem of gating trigger time offset caused by Qbv static scheduling and gPTP clock synchronous decoupling in the TSN is solved, the scheduling window is corrected in real time through dynamic feedback clock errors, and the influence of mu s level deviation on deterministic transmission is eliminated.