62 results about "Time drift" patented technology

The invention discloses a data collaborative directory management method and system, and relates to the technical field of government affair informatization, and the method comprises the steps: generating a directory snapshot containing a global hash value; calculating a directory node hash value of each edge directory node based on the directory snapshot identifier; eliminating clock drift interference through time sequence alignment and dynamic tolerance filtering; inputting the Hash difference time sequence into an isolated forest model to judge a substantial change node; based on the difference entry number and the historical calling weight, combining a dual-threshold rule and an online dichotomy model to hierarchically synchronize requirements; according to a grading result, matching an incremental push mode or a full pull mode, and constructing a synchronous transaction context containing an exponential backoff retry mechanism; synchronous operation is executed through the two-stage state model, and compensation rollback is triggered when the synchronous operation fails; and calculating a health index of the substantially changed node, dynamically selecting a self-healing action and optimizing system parameters. The problem of misjudgment caused by time sequence drift is effectively solved, the synchronization efficiency is improved, and the consistency of directory versions is guaranteed.

The invention relates to the technical field of pulse electric field measurement, and discloses a time drift compensation method of a pulse electric field measurement system based on model parameterization. According to the method, a parameterized model is constructed in simulation software, and the parameterized model is additionally provided with two servo zeroing compensation circuits on the basis of an original measurement system, and the two servo zeroing compensation circuits are connected to the output ends of two in-phase operational amplification circuits respectively to form a negative feedback loop used for dynamically suppressing low-frequency baseline drift; acquiring electric field time domain waveform data of the output end of the third in-phase operational amplifier circuit; calculating a transfer function of a pulsed electric field measurement system in the parameterized model, converting the transfer function from a frequency domain state to a time domain state through inverse Fourier transform, and then performing deconvolution on the transfer function of the time domain state and electric field time domain waveform data to obtain real electric field intensity; according to the invention, time drift caused by operational amplifier input imbalance, power supply fluctuation and temperature change is automatically compensated in real time, and the stability and precision of system measurement are improved.

The invention discloses a multi-modal interaction evaluation system and method based on synchronous data acquisition, and relates to the technical field of biomedical engineering and man-machine interaction, and the method comprises the steps: generating a synchronous pulse sequence through a synchronous signal generator according to the same coding time base, and outputting the synchronous pulse sequence to an optical path and an electrical path at the same time; pulse events are recognized in the video and the electrophysiological data respectively, and observation pairs of counting numbers and timestamps are obtained; time drift is continuously estimated and compensated through robust regression in a sliding window, and a unified time axis is generated; furthermore, a dynamic time window of heart beat anchoring is constructed according to an R peak event of the electrocardiosignal, and consistent segmentation and feature extraction of cross-modal data are achieved.

The invention discloses a key phase pulse signal synchronous acquisition and multi-axis centering analysis method, which belongs to the technical field of mechanical monitoring and diagnosis, and comprises the following steps of: configuring a synchronous acquisition system, acquiring a conditioned key phase pulse signal and a conditioned vibration signal, and extracting an axis speed and a load; constructing a time drift monitoring model to compensate the key phase pulse signal in real time, and ensuring the time synchronization precision; the compensation signal is input into a shaft centering correction model based on dynamics and finite element analysis, and radial deviation and axial deviation under the dynamic load are calculated; establishing a nonlinear tolerance threshold model by adopting a nonlinear regression model, and dynamically adjusting an allowable centering deviation threshold in combination with the real-time shaft speed and the load; through closed-loop comparison of the shaft centering deviation and a threshold value, a centering qualified conclusion or a correction suggestion is automatically output, and triggering signal resampling is supported to adapt to working condition changes; the real-time and self-adaptive analysis of the centering deviation of the multi-axis system is realized, and the operation stability and the maintenance efficiency of the rotating machinery are improved.

The invention provides a dual-network collaborative event sequence automatic testing method and device and a storage medium. The method comprises the following steps: generating a trigger identifier associated with a first pulse as a time reference; slave station logs are collected on the secondary backboard bus side, and communication messages are collected on the primary communication network side; correcting time offset and time drift of the primary communication network and the secondary backplane bus to generate a primary event sequence and a secondary event sequence; performing consistency comparison on the primary event sequence and the secondary event sequence under a unified time base to obtain a consistency comparison result; calculating an interval between adjacent events, comparing the interval with an expected interval to obtain a time scale precision checking result, and calculating an event resolution result; and calculating the time delay between the request and the response and counting the pairing rate to obtain a redundant pairing statistical result. According to the invention, end-to-end automatic testing, unified time base alignment, dual-network consistency verification, redundant request, response quantification and millisecond-level event resolution can be realized.

The invention discloses a stability precision real-time testing method and system based on a photoelectric pod sensor. Belongs to the technical field of photoelectric equipment detection. The technical problem that real-time and high-precision stable precision index measurement cannot be realized in the prior art is solved. The method comprises the following steps: S1, gyroscope zero drift calibration: obtaining a gyroscope zero drift mean value based on time drift; s2, gyro signal preprocessing: preprocessing the gyro original signal through the gyro zero drift mean value to obtain corrected gyro angular velocity data; s3, stability precision dynamic calculation based on time window integration: in a preset sliding time window, calculating the corrected gyro angular velocity data to obtain an angle root-mean-square value of stability precision, and taking the angle root-mean-square value of the stability precision as a stability precision index of a sensor of the photoelectric pod; and S4, stable precision value transmission: reporting a stable precision index to an upper computer through an interface.

The invention provides a synchronization adjustment method and system, computer equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: obtaining synchronization information and an air interface signal of a current cell where a terminal is located; generating a first time domain signal based on the synchronization information; performing down-sampling processing on the air interface signal to obtain a second time domain signal; performing correlation calculation on the first time domain signal and the second time domain signal to obtain a correlation value sequence; and carrying out weight gravity center estimation on a peak value in the correlation value sequence, determining a timing offset, and adjusting a windowing position according to the timing offset to complete synchronous adjustment. According to the synchronization information disclosed by the invention, the accurate timing position is obtained by carrying out weight-based correlation calculation on the synchronization information and the air interface signal, so that the time drift error of the terminal in the signal receiving process is counteracted. The method is especially suitable for scenes with wide coverage and multipath delay exceeding the cyclic prefix length, can significantly reduce inter-symbol interference, and improves the synchronization precision and overall demodulation performance of a terminal receiver.

The invention provides an A / B link performance comparison and strategy optimization method and system based on service flow, and belongs to the field of network performance monitoring and network strategy verification. The method comprises the following steps: firstly, performing bypass collection on real service traffic to obtain original data; copying the same copy of original data, injecting the original data into the link A and the link B at the same time, and then respectively collecting service flows of the link A and the link B; establishing a session alignment model, and judging whether the service traffic of the link A and the link B belongs to homologous traffic or not; after time drift compensation is carried out on sending timestamps of the homologous flow in the two paths, visible time sequence fields of homologous events are extracted respectively, differential indexes of the homologous events of the two paths on key time sequence parameters are calculated, and different percentile values of all the differential indexes under each parameter type in a preset time window are counted; and link performance comparison and strategy verification are carried out according to the difference index and the percentile value. According to the invention, the authenticity and efficiency of performance comparison and strategy optimization of different paths are improved.

The invention discloses an industrial intelligent installation and adjustment platform construction and performance optimization method based on digital twinning, and relates to the technical field of intelligent manufacturing and digital twinning, and the method comprises the following steps: building a unified time-frequency auditing base line, carrying out the continuous sampling of Ethernet switch route refresh pulse and programmable logic controller synchronization rhythm, and obtaining a unified time-frequency auditing base line; extracting a time drift curve, and constructing a time consistency reference surface; and executing causal playback based on the time consistency reference plane, reconstructing a frame sequence change track before and after the interruption of the communication chain, extracting a time sequence dislocation fingerprint and a packet loss link, and generating a pseudo operation risk distribution diagram. According to the method, through establishment of a time consistency reference surface, causal playback, sequence consistency check, time difference injection and evidence chain construction, microsecond-level beat synchronous control and pseudo operation identification are realized, and through combination of phase traction and a reversible time grid, abnormal chain fusing and self-healing are realized. And the real-time performance, the stability and the intelligent level of the digital twin installation and adjustment system are comprehensively improved.

The application relates to the technical field of time synchronization, and discloses a mixed time service method based on Beidou satellite navigation and TSN, which comprises the following steps: acquiring network topology structure information and historical time service error data of each synchronization node in a target distributed system, and constructing a dynamic time delay state set for jitter identification; based on the dynamic time delay state set, a current global time reference is extracted through a time calibration algorithm, a time difference reference vector sequence is generated, and initial synchronization adjustment is carried out on a TSN master node; according to the response stability of a slave node, a clock convergence function curve between nodes is constructed, whether the synchronization network is in a low jitter interval is judged based on time offset rate and time drift trend change; in combination with the node time state after directional offset suppression, a multi-channel redundant time adjustment mechanism in a time window is applied, a weight adjustment coefficient is extracted, and a non-uniform calibration factor is introduced; and according to a regression correction result, a time service stability index is evaluated in real time. The application has the advantages of improving time service stability.

The invention discloses a time synchronization method and device applied between a ground control center and a low-orbit communication satellite, and aims to solve the technical problem that a satellite loses the time synchronization capability due to the failure of a global navigation satellite system (GNSS) component in the prior art. The method comprises the following steps: when a GNSS component works normally, a low-orbit satellite is mainly used for GNSS timing; and when the GNSS component is detected to be invalid or the signal is not stable, the system is automatically switched to a standby calibration mode. In the standby mode, the method utilizes a remote control instruction sent by a ground control center or a ground timestamp attached in a data packet, and combines a time drift prediction model constructed based on historical correction data to perform high-precision correction on a satellite local clock. By supporting a multi-mode time calibration strategy, the fault-tolerant capability and the time synchronization precision of the system under an extreme working condition are remarkably improved, so that the risk caused by time asynchronization in satellite task execution is reduced.

This invention discloses a fire-fighting location and communication method and system that integrates multi-source sensing data, relating to the fields of fire-fighting location technology and communication technology. The invention significantly suppresses time drift at each node through a time calibration mechanism within the topological neighborhood. The corrected timestamp set generated by iterative correction ensures high consistency in cross-node timing, thereby improving the synchronization and reliability of multi-source data fusion. A dynamic generation strategy based on local gradients and communication status heartbeat signals enables the broadcast period to adapt to link fluctuations, improving network robustness in scenarios with thermal interference or smoke obstruction. Furthermore, the location and communication status table uniformly quantifies the location information interval, movement trend, and communication availability level, enabling synchronous optimization of location inference and communication routing selection, significantly improving the location accuracy and communication continuity for firefighters in complex environments.

The present application belongs to the technical field of data processing and multi-source information fusion, and is used to solve the problem that the prior art cannot detect and effectively respond to the collective time drift caused by hidden node faults in the synchronization tree in real time. Specifically, it is a multi-source data correlation integration method based on artificial intelligence, which comprises: obtaining multiple data sources and their synchronization topology information; in response to a request for time sequence correlation of a first data source and a second data source, determining the data source with the smaller value between the first trust risk value and the second trust risk value as the reference source, and the other data source as the source to be calibrated; calculating the absolute value of the difference between the nominal time offset and the witness time offset as the consistency residual; and performing correlation determination based on the consistency residual. By introducing a physical reference benchmark independent of the synchronization tree and a periodic traceability prisoner test, the present application can accurately identify the collective time drift caused by hidden node faults in the synchronization tree, thereby effectively blocking the step-by-step transmission of errors along the synchronization tree.

In one aspect, a communication node (e.g., TRP or UE) obtains (e.g., measures) timing group delays associated with different positioning procedures to determine time drift information and reports the time drift information to an external entity for position estimation.

The invention discloses an ultra-wideband radio communication signal processing method based on motion error compensation, which relates to the technical field of communication signal processing, and comprises the following steps: establishing a continuous time chain for an area where the motion speed of a target changes suddenly in a dynamic propagation scene, and calibrating an energy peak transition point in a continuous time chain based on a time sequence of signal energy distribution, and extracting a kick starting point through time segmentation. By establishing a continuous time chain and introducing energy peak transition point calibration, time sequence continuity and energy smooth transition of a propagation path during speed sudden change are realized, and time drift caused by path index disorder is effectively avoided; and meanwhile, self-adaptive adjustment of the anchor point spacing is realized through breathing type time anchor scheduling, so that the path index keeps convergence in a high-dynamic environment, and the space-time consistency and the positioning precision of the ultra-wideband signal are improved.

The invention provides a consumable updating method and device, a medium and electronic equipment. The updating method comprises the following steps: acquiring a test task requirement; matching test consumables of corresponding consumable performance levels based on the test task requirements, wherein the consumable performance levels comprise a calibration error level, a time drift rate level and an impedance region offset level; performing a radio frequency on-chip test based on the test consumables; and dynamically updating the consumable performance grade of the test consumable in the radio frequency on-chip test process. The test consumables are matched with the test task requirements, and the performance levels of the consumables are dynamically updated in the test process, so that the loss rate of the high-value consumables can be reduced.

The invention discloses a judicial evidence management method and system based on a block chain and a cloud evidence room, and relates to the technical field of data management, and the method comprises the steps: constructing a time migration analysis model based on a block chain generation timestamp Tlocal, a network transmission delay Tnet and a block chain confirmation timestamp Tblock through introducing a calculation mechanism of an evidence time drift deviator Etd; the local time recorded by each evidence uploading node can be quantitatively corrected, and the authenticity and the offset degree of the evidence time can be accurately judged. According to the method, the set offset threshold value Eth is combined to carry out preliminary comparison and evaluation, and then the evidence with time credibility and the evidence with abnormity are distinguished, so that the consistency and credibility of the evidence uploading time are enhanced, a structured and verifiable time reference is provided for subsequent data synchronization analysis, and the accuracy of data synchronization analysis is improved. And the time review capability of the evidence management system in the heterogeneous time source environment is obviously improved.

This application relates to the field of data synchronization technology and discloses a method, system, device, and medium for multi-camera timestamp synchronization. The method includes: embedding a physical world timestamp generated by a hardware clock synchronized based on the Precise Time Protocol (PTP) into the Network Abstraction Layer (NAL) unit of the Supplemental Enhancement Information (SEI) of an H.265 encoder as the global master time reference for multi-camera collaborative acquisition; adding a device ID field to the embedded SEI timestamp of each camera; subsequently, each camera performs video acquisition and encoding to obtain a video stream; parsing the SEI timestamp with the device ID from the video stream to establish a frame-level global time reference; extracting the SEI timestamps of each camera for real-time verification; if the verification passes, it is determined that the multi-cameras have achieved frame-level synchronization; a data loader reads a dataset in a specified format, parses and extracts the SEI timestamps from the dataset, compensates for time drift caused by system scheduling delays, and outputs synchronized data. This application improves the synchronization accuracy of timestamps.

A method for synchronizing time between a central server and an automated vehicle (AV) includes exchanging a sequence of time synchronization (TS) messages and generating a set of time offsets between a pair of TS messages among the sequence of TS messages. The method further includes changing a system time of the AV using a time drift estimate defined by a set of time weighting models that are a function of at least one of a plurality of time inputs or the set of shift time offset values, and controlling the AV using the system time and one or more shift instructions providing travel commands from the central server.

The present disclosure provides a system and method for time synchronization between a vehicle and a central server. A method for synchronizing time between a central server and an automated vehicle (AV) includes exchanging a series of time synchronization (TS) messages; and generating a set of time offsets between a pair of TS messages in the series of TS messages. The method further includes altering a system time of the AV using a time drift estimate defined by a set of time evaluation models that are a function of at least one of a plurality of time inputs or a set of layer time offset values; and controlling the AV using the system time and one or more marshalling instructions, the one or more marshalling instructions providing a driving command from the central server.

The invention discloses an injection molding equipment-oriented mold change jump abnormity identification method and system, and the method comprises the steps: firstly, enabling collected multi-source heterogeneous data to be unified to the same beat through dynamic time warping, and guaranteeing that the subsequent calculation is free of time drift; then extracting full-quantity characteristics of all target measuring points in the injection molding production period, clustering the full-quantity characteristics of historical normal production to obtain a normal production cluster model, comparing the current full-quantity characteristics in the production period with any normal production cluster, and recording points with the distance greater than 3 sigma as candidate jump points; carrying out segmented detection on all candidate jump points by using a PETL algorithm, and determining whether the jump points are real jumps or not; and if the jump is real jump, comparing the current full-quantity characteristic with the normal production cluster, and judging whether the jump belongs to the abnormity of replacing the mold but not changing the mold code or the real abnormity. According to the method, a normal density model is automatically established on the edge side in a full-quantity process parameter online clustering mode, normal die change and abnormal jump are distinguished at a millisecond level, and the probability of mistaken shutdown is reduced.

The invention relates to a method of reference clock time synchronization in a wireless network, comprising: performing a connection time synchronization process to synchronize with a central device reference clock based on an established connection to a central device; receiving a callback message for time synchronization from the central device at the start and / or end of the connection interval, including a central device reference time corresponding to a local reference time of the central device at a point in time at which the callback message is sent to the peripheral device; calculating the number of past connection intervals between the transmission of the callback message by the central device and the reception of the callback message by the peripheral device, the reception of the callback message by the peripheral device being represented by the recorded local peripheral device reference time; determining a current time drift between receiving the reference time of the central device and recording the reference time of the local peripheral device based on the calculated number of connection intervals; the peripheral device reference time is adjusted to synchronize with the central device local reference clock based on the time offset according to the connected time synchronization process and based on the determined time drift.

A method for synchronizing time between a central server and an automated vehicle (AV) includes exchanging a series of time synchronization (TS) messages and generating a set of time offsets between a pair of TS messages among the series of TS messages. The method further includes changing a system time of the AV using a time drift estimate defined by a set of time assessment models being a function of at least one of a plurality of time inputs or the set of layer time offset values, and controlling the AV using the system time and one or more marshalling instructions providing drive commands from the central server.

This invention discloses a method for synchronous acquisition and multi-axis alignment analysis of key phase pulse signals, belonging to the field of mechanical monitoring and diagnostic technology. The method includes: configuring a synchronous acquisition system to acquire conditioned key phase pulse signals and vibration signals, and extracting shaft speed and load; constructing a time drift monitoring model to compensate the key phase pulse signals in real time, ensuring time synchronization accuracy; inputting the compensated signals into a shaft alignment correction model based on dynamics and finite element analysis to calculate radial and axial deviations under dynamic loads; establishing a nonlinear tolerance threshold model using a nonlinear regression model, and dynamically adjusting the allowable alignment deviation threshold based on real-time shaft speed and load; automatically outputting alignment qualification conclusions or correction suggestions through closed-loop comparison of shaft alignment deviation and threshold, and supporting trigger signal re-acquisition to adapt to changes in operating conditions; realizing real-time, adaptive analysis of alignment deviations in multi-axis systems, improving the operational stability and maintenance efficiency of rotating machinery.

The invention discloses a new energy data spatio-temporal alignment and standardization processing method and system, and the method comprises the steps: obtaining a spatio-temporal data source of new energy, converting the spatio-temporal data in the spatio-temporal data source into spatio-temporal change rate data, setting a weighted cross-correlation function, calculating the time offset and time drift amount of the spatio-temporal change rate data, and calculating the spatio-temporal alignment and standardization of the new energy. Projecting a timestamp of the spatio-temporal data to a unified time scale according to the time offset and the time drift amount; performing gridding processing on the area where the new energy is located, mapping the new energy into a corresponding grid according to the area of the new energy, and mapping the time-space data of the unified time scale into the corresponding grid according to the grid where the new energy is located; and traversing each grid, and if missing values exist in the spatio-temporal data in a certain grid, performing interpolation processing so as to complement the missing values in all the grids.

The present disclosure provides a robot environment perception method, device and system based on multi-sensor fusion. The method of the present disclosure can comprise: receiving raw observation data from each sensor configured on the robot body, obtaining equivalent observation data of each sensor at the system global time based on the time drift model of each sensor and the raw observation data of each sensor, calculating a health degree index of each sensor and generating a time-varying confidence weight of each sensor according to the health degree index, determining an active sensor subset according to the health degree index of each sensor, determining a state vector of the robot system according to the time-varying confidence weight and the equivalent observation data of each sensor in the active sensor subset, and generating environment representation data based on the state vector of the robot system, the time-varying confidence weight and the equivalent observation data of each sensor. The present disclosure can effectively avoid the influence of time synchronization error and spatial registration deviation between sensors, and improve the perception accuracy.

The invention discloses a seismic isolation support multi-parameter monitoring method and system, and the method comprises the steps: dividing a plurality of seismic isolation supports into association node groups, and appointing a reference node and reference time; the time difference of the slave nodes and the reference node in the physical data in the physical association node group is calculated in real time, whether time drift exists in the slave nodes or not is judged, and the slave nodes are nodes except the reference node; marking the slave node with time drift as a to-be-repaired node, and searching an optimal alignment path of a physical data sequence and a template sequence of the to-be-repaired node; establishing a nonlinear time mapping function; complex time distortion such as delay, stretching, compression and the like can be subjected to full-waveform correction, and formation of data tearing is inhibited from the source.

An apparatus configured to determine sets of untraceable clock domains in the communication network may comprise a memory and a processor communicatively coupled to one another. The processor may be configured to select a clock as a Precision Time Protocol (PTP) clock, calculate a time drift associated with another clock, and average the time drift over multiple successive PTP timestamps. Further, the processor may be configured to generate a report indicating whether the clock is offset with respect to a PTP clock based on whether an average of the time drift over the successive PTP timestamps is higher than the predefined threshold.

The application discloses a kind of behavior data time processing and saving method, device and related medium, the method includes: through log server collection user log information and carry out disk landing;Receive the user behavior data on the log server, and carry out abnormal time processing;Receive the user behavior data in the data warehouse, carry out data drift processing to the user behavior data;The event header file corresponding to the user behavior data is parsed, corresponding user behavior data generation time is obtained, and data storage is carried out based on the user behavior data generation time according to preset time period.The application solves the data deviation caused by time zone difference and time anomaly of user behavior data by unifying data time zone, removing abnormal time, solving cross-time drift, so as to reduce the error of user behavior analysis caused by abnormal data, improve user behavior analysis accuracy.

This invention discloses a multi-parameter monitoring method and system for seismic isolation bearings. The method includes: dividing multiple seismic isolation bearings into associated node groups and specifying a reference node and reference time; calculating in real time the time difference between the slave nodes and the reference node in the physical data within the physical associated node group, determining whether there is time drift in the slave nodes (the slave nodes are nodes other than the reference nodes); marking the slave nodes with time drift as nodes to be repaired, finding the optimal alignment path between the physical data sequence of the node to be repaired and the template sequence; establishing a nonlinear time mapping function; and being able to perform full waveform correction for complex time distortions such as delay, stretching, and compression, thereby suppressing the formation of data tearing at its source.