36 results about "Time drift" patented technology

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 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 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.

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 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.

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.

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 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 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.

The invention relates to the technical field of intelligent traffic systems and multi-source data processing, and discloses an intelligent traffic information internet acquisition and multi-source data fusion system, which comprises a semantic-driven heterogeneous facility protocol reconstruction module for analyzing an internet text and generating a dynamic acquisition protocol configuration packet adaptive to underlying perception; the anchor point data-based time delay compensation module is used for associating physical anchor point time, calculating propagation time delay and delimiting a generated backtracking time drift window; the multi-source microscopic fingerprint verification module is used for extracting physical sensor data based on a protocol packet and a time window, performing isomorphic matching on the physical sensor data and the virtual kinematics fingerprint feature template, and outputting an event authenticity verification result; and the physical feedback driven semantic evolution module is used for constructing a physical truth value feedback signal to update the model weight and correct the fuzzy geographic mapping. According to the method, the problems of internet data release lag and physical facility space-time alignment are solved, and false information filtering and system self-evolution are realized through physical fingerprint verification.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

The invention provides a clock synchronization method and device, terminal equipment and a storage medium, and the method comprises the steps: carrying out the sampling through employing an independent clock, obtaining a discrete sampling signal, carrying out the cross-correlation operation, generating a frame starting point index, calculating the phase difference of two detection sub-blocks in each frame, so as to obtain a global carrier frequency offset estimation value, and carrying out the calculation of the global carrier frequency offset estimation value. Applying reverse frequency offset to the discrete sampling points to obtain a frequency offset compensation signal sequence; extracting a channel impulse response and reconstructing the channel impulse response into a continuous time waveform, taking a difference value between real peak time and the closest integer sampling point moment as sampling time offset, establishing a linear function according to the change of the offset along with a frame sequence, and performing fitting to obtain a time drift estimated value; and obtaining an original result of channel frequency response, and applying reverse phase rotation to the original result according to the time drift estimation value to obtain a channel frequency response sequence after phase correction. According to the invention, joint synchronization of detection signals in two dimensions of time and frequency can be realized on the premise of no external reference clock.

The present application relates to the field of petroleum exploration geophysical data processing and interpretation evaluation, in particular to a two-dimensional seismic data seesaw type closure difference correction method, device and equipment. Select a short time window at each intersection of the to-be-corrected survey line and the reference survey line in the two-dimensional seismic data; for each intersection, calculate the time difference at the intersection by cross-correlation in the short time window; according to the intersection position index of each intersection on the to-be-corrected survey line and the corresponding time difference, a set of discrete time drift control points is obtained; according to the set of discrete time drift control points, function fitting is performed to obtain the time drift vector of each trace of the to-be-corrected survey line; according to the time drift vector of each trace, time axis resampling correction is performed on each trace of the to-be-corrected survey line to obtain the corrected two-dimensional seismic data. The seesaw type time non-closure phenomenon caused by splicing of different batches of data is eliminated, and two-dimensional seismic data with consistent time reference is provided for subsequent structure interpretation and reservoir evaluation.

The invention discloses a multi-parameter collaborative optimization control method for wafer laser cutting, which relates to the technical field of wafer laser cutting, and comprises the following steps of: extracting a time drift distance, an energy jump amplitude value and a temperature rise inflection point offset position of a thermal response track relative to a thermal reference track in an edge thermal response track set, generating a track offset density sequence, the judgment module is used for judging whether a boundary material covering layer exists at the edge of the wafer; and under the condition that a boundary material covering layer exists at the edge of the wafer, extracting a high-fluctuation region from the trajectory offset density sequence, calculating a thermal jump angular velocity and a thermal hysteresis gradient, and constructing a thermal jump judgment array for determining the sudden change degree of the laser thermal response characteristic. The problem that thermal response mutation is difficult to recognize when a boundary material covering layer exists on the edge of the wafer is solved, precise collaborative optimization control over laser cutting parameters is achieved, and the cutting stability and the wafer yield are effectively improved.

This invention discloses a method for constructing and optimizing the performance of an industrial intelligent assembly and adjustment platform based on digital twins, relating to the fields of intelligent manufacturing and digital twin technologies. The method includes the following steps: establishing a unified time-frequency audit baseline; continuously sampling the Ethernet switch routing refresh pulses and the programmable logic controller synchronization beats to extract time drift curves and construct a time consistency reference surface; performing causal replay based on the time consistency reference surface to reconstruct the frame sequence change trajectory before and after the communication link interruption, extracting time sequence misalignment fingerprints and packet loss links, and generating a pseudo-operation risk distribution map. This invention achieves microsecond-level beat synchronization control and pseudo-operation identification by establishing a time consistency reference surface, causal replay, sequence consistency verification, time difference injection, and evidence chain construction. Combined with phase traction and reversible time grids, it realizes abnormal chain circuit breaking and self-healing, comprehensively improving the real-time performance, stability, and intelligence level of the digital twin assembly and adjustment system.

The invention discloses a business process visualization simulation method, and particularly relates to the technical field of business process visualization. Constructing a task dependency graph and a task path, calculating a task causal strength factor CIF and time drift tolerance TDT based on historical log data, recording a task event sequence in a simulation operation process, and judging whether the task has a causal relationship disorder behavior or not in real time; when the three conditions that the task is executed in advance, the offset exceeds TDT and the CIF is higher than a set threshold value are met, it is judged that the event is a causal disorder event, and dynamic adjustment processing is started; meanwhile, the detection result and the adjustment feedback are visually displayed in real time, a cause and effect consistency scoring model is constructed, and a process structure optimization suggestion is output; the method has the advantages of being high in disorder recognition precision, flexible in adjustment mechanism, closed in feedback path and the like, and is suitable for modeling and simulation platforms of various complex business processes.

The invention discloses a large-depth-of-field real-time drift correction method and system based on a programmable point spread function. According to the invention, wide-range and high-precision drift correction is realized by dynamically switching different PSF modes, and the problem that the axial correction range and precision cannot be obtained at the same time in the prior art is solved. The system comprises a marker detection module, a PSF dynamic switching module and a closed-loop control module, and an optimal PSF mode is automatically selected according to the drift distance detected in real time: astigmatic PSF, 1 [mu] m lt is started when z is smaller than or equal to 1 [mu] m; z < = 2 [mu] m, and switching to a double-helix PSF, 2 [mu] m lt; bessel PSF, zgt is adopted when z is smaller than or equal to 3 microns; the clover PSF is activated when the particle size is 3 microns. Through self-adaptive switching of the PSF, full-closed-loop real-time correction is achieved within the axial range of 6 microns, the drift suppression error is smaller than or equal to 2 nm, and the method is suitable for living cell long-term super-resolution imaging.

A single cluster formation technique for Ultra-Wideband (UWB) Time Difference of Arrival (TDoA) may be provided. A primary anchor may be elected from a plurality of anchors. Then a structure of a cluster formed by the plurality of anchors may be collected by the primary anchor. A Direction-Oriented Directed Acyclic Graph (DODAG) may be built for the cluster based on an uncontrolled time drift along the DODAG and weighted by a number of hops to the primary anchor.

The invention belongs to the technical field of oil field node seismic exploration, and provides a node seismic acquisition time drift analysis method, system and device and a storage medium, and the method comprises the steps: extracting GNSS information from daily inspection data stored by a node unit; wherein the GNSS information comprises a point location of a node, the number of searched stars, a clock synchronization error and time drift; according to GNSS information, by analyzing and checking the satellite searching number of node units, analyzing and checking the clock synchronization error average value of the node units and combining a first threshold value, analyzing and checking the clock synchronization error maximum value of the node units and combining a second threshold value, the proportion of clock synchronization errors in each time drift interval is counted; and determining unqualified node units. In the node seismic acquisition process, the time drift of each node is analyzed, so that the nodes with large time drift amount are found out, manual replacement is facilitated in time, and the correctness of data received by the nodes is ensured.

The invention relates to the technical field of biomedical signal processing, and discloses a muscle fatigue threshold detection method based on surface electromyogram signals, which comprises the following steps: acquiring synchronous surface electromyogram and angular velocity signals, and segmenting to generate a motion period sequence; establishing a baseline kinematics envelope template based on the initial angular velocity data; performing morphological verification on the current angular velocity segment, and calculating actual electromechanical delay after verification is passed; comparing the reference delay to obtain a time drift distance, and defining an electromyographic signal interception time boundary in combination with an initial matching window; intercepting a signal segment in the calibration boundary, calculating a frequency band energy distribution index and generating a time sequence; the sequence is reconstructed into a two-dimensional phase space state vector, the maximum Lyapunov index is calculated, when a continuous counting mechanism is met, it is judged that dynamic topology bifurcation occurs, and a control intervention instruction is output. According to the invention, electromechanical phase dislocation caused by fatigue can be dynamically compensated, and accurate detection and safe intervention of the muscle fatigue state are realized.

The invention relates to the technical field of time service synchronization, in particular to a multi-sensor system time service synchronization control method, which comprises the following steps of: acquiring pulse per second and positioning data through a serial port and an SPI (Serial Peripheral Interface), monitoring pulse stability, judging positioning effectiveness and generating an evaluation result; matching a priority extraction clock source to determine a target time service source, inputting the target time service source into a fitting algorithm to generate an alignment parameter, measuring a time difference, adjusting a trigger pulse to generate a calibration signal, and transmitting the calibration signal to a core processor to synchronously record a timestamp, calculate a difference value and confirm a time service or re-test certification state; according to the method, pulse stability and positioning mark cross judgment is performed to screen a time source, priority and fitting operation are performed to improve selection accuracy, triggering and reference pulse difference measurement are corrected and aligned step by step, calibration pulse feedback and threshold comparison are performed to construct a closed-loop mechanism, and the time reference is established. Abnormal signals are suppressed to guarantee consistency, multi-source synchronization is stable and continuous, and time drift caused by single-point fluctuation is reduced.

The invention belongs to the technical field of distributed simulation systems, and discloses a heterogeneous simulation system access system and method based on an HLA and a DDS. The method comprises the following steps of: initializing a DDS communication component and creating a communication handle to finish publishing and subscription registration of a data type; according to simulation node role configuration time limitation and control attributes, establishing a time management hierarchical relationship; intelligent classification processing of messages is realized, and time sequence messages and common messages are distinguished; executing stepping feasibility judgment based on the time management cluster; an ordered data refreshing mechanism is adopted to ensure the correctness of the causal relationship; and a dynamic time compensation algorithm is introduced to eliminate synchronization errors. According to the invention, the time synchronization precision and system interoperability in a distributed environment are improved, and the problems of message timing sequence chaos and time drift are solved. In the field of complex system simulation such as spacecraft co-simulation, the system expansibility and the resource utilization efficiency are effectively enhanced, and reliable technical support is provided for large-scale heterogeneous system co-simulation.

The invention discloses a substation automation service digital intelligent debugging method, and particularly relates to the technical field of secondary equipment debugging control. The method comprises the following steps: acquiring a system clock, a synchronization mode and an SOE record of each device, calculating a time deviation volatility and an action logic anomaly, and constructing a time credibility scoring model in combination with a synchronization level parameter; based on the score, an SOE event sorting strategy is dynamically adjusted, and secondary verification, delayed execution or shielding control is applied to a low-credibility signal in a relay protection debugging link, so that maloperation or refusal operation caused by time drift is effectively prevented; the method has high adaptability and engineering practicability, and the intelligence and safety of the debugging process are improved.

Techniques discussed herein may better ensure proper timing and synchronization of transmissions within a wireless communications network that includes a terrestrial network and a non-terrestrial network (NTN). A user equipment (UE) may maintain (e.g., determine and update on an ongoing basis) a timing advance (TA) value that the UE may apply to uplink (UL) transmissions to account for propagation delays, including changes in propagation delays, between the UE, NTN, and terrestrial network. TA maintenance may be based on network broadcasts, random access channel (RACH) procedures, control messages, timing drift rates (e.g., of the UE or NTN satellite), beam switching, and more.

The invention provides a cooperative time service method and device based on low-orbit communication satellite enhancement and electronic equipment. The method comprises the following steps: sending a time signal receiving instruction; in response to the received time signal, determining a signal type corresponding to the time signal, and determining target time according to the signal type; or, in response to the fact that the time signal is not received, historical time is obtained, and the target time is determined based on the historical time by means of the high-stability crystal oscillator time drift model. The target time is determined in different modes according to whether the time signal is received or not, namely, time synchronization of the unmanned aerial vehicle can be achieved under any condition, and the problem that accurate time service of the unmanned aerial vehicle cannot be achieved due to insufficient coverage of a single time signal source or time signal shielding is solved.