105 results about "Precision Time Protocol" patented technology

The invention discloses a fault root cause positioning method and system for a server cluster, and relates to the technical field of network fault diagnosis. According to the method, nanosecond-level synchronous acquisition of micro-service call chains, container indexes, physical nodes and network data is realized through a precise time protocol, and a consistent data set is constructed through entity association and standardized processing; a service-resource topological graph is dynamically constructed, and an inter-service calling edge weight model is innovatively designed: a real-time load factor and a historical fault index attenuation sum processed by a Sigmoid function are fused, and the weight is periodically updated to accurately quantify the inter-node influence intensity; converting the topological graph into a Bayesian network; when a fault occurs, a three-level assembly line compression alarm is adopted, frequent item sets are mined through bitmap indexes and parallel FP-Growth, and strong causal association item sets are screened in combination with topological edge weights and KL divergence; strong causal alarm is taken as evidence, probabilistic root cause sorting is output through reverse random walk sampling, and high-precision positioning of complex distributed system faults is achieved.

A method and a network device are disclosed for precision time protocol (PTP) clock synchronization. According to an embodiment, the network device determines whether the network device is in one of a first state where a reception of an announce message from a PTP clock source is interrupted due to a local change at the network device, and a second state where the PTP clock source is restored after a predetermined restoration time, or the reception of the announce message from the PTP clock source is recovered after the local change. When determining that the network device is in one of the first state and the second state, the network device uses the PTP clock source as a candidate PTP master, without waiting for the predetermined restoration time.

The invention relates to the technical field of edge computing, and discloses an edge computing intelligent decision-making system based on edge cloud collaboration, which comprises a terminal sensing layer, an edge computing layer, a network transmission layer and a cloud center layer. The terminal sensing layer is configured to collect original data; the edge computing layer comprises edge computing equipment, a resource scheduling module and a distributed synchronous triggering module which are respectively used for data preprocessing and model reasoning, dynamic resource allocation based on multi-agent deep reinforcement learning and multi-equipment synchronous acquisition realized through a precision time protocol; the network transmission layer dynamically adjusts a transmission strategy based on a reinforcement learning algorithm during data transmission; and the cloud center layer carries out training optimization on the model through a federal learning mechanism and issues the model to an edge side. According to the method, millisecond-level real-time intelligent decision making of an industrial site and sustainable evolution of the AI model are realized through a side cloud collaborative architecture, and the efficiency, the reliability and the self-adaptive capability of the system are effectively improved.

The invention provides a dynamic high-precision PTP (Precision Time Protocol) time synchronization system realized based on an FPGA (Field Programmable Gate Array), which comprises a master device and a slave device, and the master device and the slave device are connected through a PHY (Physical Layer) to carry out PTP time synchronization; the master device and the slave device have the same structure and comprise an FPGA and a voltage-controlled crystal oscillator; in the master device, the FPGA obtains the frequency difference and the phase difference between the master device and an externally input reference source, further adjusts the frequency of a voltage-controlled crystal oscillator, corrects a local time mark, and sends a PTP message to the slave device; and in the slave equipment, the FPGA obtains the frequency difference and the phase difference between the slave equipment and the master equipment based on the received PTP message, so that the frequency of the voltage-controlled crystal oscillator is adjusted, and the local time scale is corrected. According to the invention, low-cost and high-precision PTP time synchronization is realized.

The invention discloses a foundation pit support deformation real-time monitoring method based on edge calculation, and aims to solve the problems of multi-node time synchronization and clock drift compensation caused by unavailability or poor quality of satellite navigation and precise time protocols in an underground or shielded environment. According to the method, through event dictionary learning, partition time slot scheduling and safety coding micro excitation time synchronization, matched filtering decoding, multi-scale arrival time estimation, paired time difference robust fusion, frequency priority and phase speed limit correction and network disconnection time holding, the time synchronization efficiency is improved; the technical effects that multi-source data alignment, deformation field reconstruction and graded early warning are completed on the unified virtual reference time scale, and high-precision synchronization and online drift compensation are obtained without depending on the external time service condition are achieved.

The invention relates to the technical field of Ethernet communication and digital information transmission, and discloses an Ethernet-based time synchronization acquisition method, device and equipment and a medium, and the method comprises the steps: obtaining initial network time based on a network time protocol and a precise time protocol; recovering the synchronous clock signal from the Ethernet physical layer signal and generating a trigger pulse signal aligned with a second boundary to generate second-level reference time; the trigger pulse signal and the synchronous clock signal are used for executing high-frequency counting accumulation to generate nanosecond-level fine time; performing frequency division processing on the synchronous clock signal based on the sampling rate configuration parameter to obtain a sampling driving clock; the analog-to-digital conversion unit is triggered at the effective jump edge of the sampling driving clock to sample and latch nanosecond-level fine time to generate a sampling timestamp, and the sampling timestamp is output in combination with sampling data. According to the method, time recovery, time refinement and sampling time locking are realized through a unified time base, so that sampling action and time counting are accurately aligned, and the data synchronization precision and consistency of distributed acquisition nodes are improved.

The invention relates to the field of fan spindle state monitoring, and aims at synchronously acquiring sound and vibration signals through multiple channels, realizing nanosecond time alignment by adopting a precision time protocol, and performing denoising and normalization preprocessing on the signals to improve data integration and signal fidelity. Furthermore, short-time Fourier transform and continuous wavelet transform are combined to extract multi-scale time-frequency features, and a high-dimensional combined feature vector is generated in combination with cross-correlation analysis. And mapping the feature vectors to a low-dimensional manifold space through a local linear embedding algorithm, and constructing a dynamic mode reference template. Indexes such as curvature, track length and direction entropy are monitored in real time, whether the spindle has an abnormal evolution trend or not is judged through a self-adaptive curvature threshold, and abnormity judgment is achieved in combination with track backtracking verification. According to the scheme, the abnormal starting boundary of the spindle state can be caught in a refined mode, and the early warning and operation and maintenance response capacity of fan operation is effectively improved.

The invention provides a vehicle-mounted time synchronization method and device, and the method is applied to a vehicle-mounted network, and comprises the steps: obtaining the topology of the vehicle-mounted network, and determining a master clock and slave equipment according to the topology of the vehicle-mounted network; wherein the master clock and the slave device are connected through a network interface supporting a precise time protocol; broadcasting a synchronization message to the slave device through a preset frequency by using the master clock, wherein the synchronization message at least comprises a first timestamp of a moment when the synchronization message leaves the master clock through the network interface; receiving the synchronization message by using the slave device, and determining a second timestamp of the moment when the synchronization message reaches the slave device through the network interface; and pre-determining propagation delay, determining clock skew of the slave device according to the first timestamp, the second timestamp and the propagation delay, and synchronizing a local clock of the slave device according to the clock skew. The synchronization delay is avoided, and the time synchronization efficiency is improved.

The invention discloses a fault recognition method and system for an aero-engine, and belongs to the technical field of aero-engine maintaining.The fault recognition method and system for the aero-engine comprise the following specific steps that firstly, sensors are deployed at key positions of the aero-engine, and the sensors are stored in the key positions of the aero-engine through an I EEE 1588 precise time protocol; timestamps are made on the data of each sensor through the airborne switch; 2, preprocessing the data collected by the sensor, and then extracting features; according to the method, the comprehensive accuracy is greatly improved through multi-source data fusion and an attention mechanism, the early fault detection capability is improved, the cross-channel attention mechanism enables the model to automatically enhance the anti-interference signal weight in a high-temperature and high-vibration environment, the false early warning probability is reduced, the reasoning delay of an edge-side lightweight model is reduced, and the accuracy of the model is improved. And the end-to-end system delay is reduced, and the aviation-level real-time standard is met.

The invention discloses an automobile cabin software control method and system based on multi-mode interaction, and relates to the field of multi-mode data, and the method comprises the steps: S1, multi-source signal synchronous collection and timestamp calibration; a user voice instruction, a gesture track and eye fixation point information are collected in real time through a distributed sensor array; according to sensor data, a three-level synchronization architecture is combined with a PTP precise time protocol to achieve microsecond-level clock synchronization, a unified time service timestamp is embedded in a data packet header, and the timestamp error is controlled within + / -0.5 ms; s2, dynamic environment interference compensation; the method comprises the following steps: constructing an environmental noise perception model; the construction of the environmental noise perception model comprises the following steps: starting a regional strong light suppression algorithm for a strong light scene with the illumination intensity greater than 10,000 lux; activating a motion compensation module for a bumpy scene with a vertical acceleration greater than 0.3 g, and outputting an environment compensation multi-modal data stream; s3, analyzing time-space association semantics; and S4, confidence decision and instruction execution.

The invention discloses a time sequence synchronization method and system for data fusion of a multi-modal wearable sensor, a terminal and a storage medium. The method comprises the following steps: acquiring an absolute timestamp as a global clock source; taking the global clock source as a master clock of a precision time protocol, configuring the plurality of wearable sensors as slave clocks, and executing multiple rounds of message interaction between the master clock and the slave clocks through the precision time protocol to obtain a timestamp corresponding to each round of interaction; and calculating the current path time delay and the current clock offset according to the corresponding timestamps, carrying out iterative judgment on the current path time delay and the current clock offset according to a preset path time delay threshold value and a preset clock offset threshold value, and determining whether to correct the local clock according to the current clock offset according to an iterative judgment result. The slave clock and the global clock source achieve time sequence synchronization; and after time synchronization is achieved, phase alignment is carried out on the periodic data sampling tasks of the multiple wearable sensors. According to the invention, the time sequence synchronization precision is obviously improved.

The invention discloses a time synchronization method, a time synchronization system and a storage medium, and the method comprises the steps: receiving and fusing multi-source time signals at the same time, and obtaining a local time reference signal; calculating the frequency compensation amount of a local clock source in real time based on an LSTM model trained by using a local time reference signal; detecting whether the time signal is available, and determining to switch an atomic clock taming mode or a timekeeping mode based on a detection result; inserting a timestamp with femtosecond precision for the initial data message through the PIC to obtain a target data message; and sending the time synchronization information and the target data message to a 6G network node through a precision time protocol of the FPGA chip. According to the invention, on the basis that the satellite signal is taken as a time reference, two conditions that the satellite signal is available and unavailable are considered, and a local clock source and photon time service are adjusted in combination with a multi-source satellite signal fusion result, so that the time synchronization precision is improved, and the 6G network requirement is met.

The embodiment of the invention provides a differential relay protection device, equipment, system and method and a storage medium, the differential relay protection device comprises a clock module, the clock module is configured to create a first clock for the differential relay protection device, the first clock is configured in a precision time protocol domain, and the clock module is configured to create a second clock for the differential relay protection device, the second clock is configured in a precision time protocol domain; the second clock and the first clock operate independently; a power data obtaining module configured to obtain power data collected based on a second clock; and a processing module configured to perform a differential relay protection function through the first clock. According to the differential relay protection device disclosed by the invention, an independent precise time protocol domain can be configured for a differential relay protection function, so that power data synchronization is realized in a mode of low hardware cost, low system framework complexity, high flexibility and high operation stability, and the differential relay protection function is realized.

Industrial devices and edge compute platforms are configured to synchronize their internal clocks to provide a common sense of time across application and data acquisition tasks, thereby allowing for an inherent common understanding of time across the devices and data sets. The industrial devices can synchronize their internal clocks using Precision Time Protocol (PTP) or IEEE 802.1AS synchronization. The accurate time stamping achieved by this synchronization can yield more accurate analysis of data sets acquired from multiple devices, and greater fidelity and synchronization between a digital twin of an automation system and the physical system represented by the digital twin.

The application discloses a kind of big data driven wind power assembly repeated quality intelligent determination method and system.Method includes setting sensor, automation equipment and environmental monitoring instrument in wind power assembly station, obtains multidimensional original data through edge computing node, realizes data alignment with precision time protocol, is converted into unified structured data stream and carries out denoising, and outputs the assembly signal data after denoising;Establish data infrastructure layer including distributed storage and containerization arrangement;Assembly signal data is processed, and time domain, frequency domain and time-frequency domain features are extracted, combined with environmental and equipment state parameters to construct assembly quality feature vector, process using quality determination model, calculate Mahalanobis distance and compare with preset threshold value, process drift is judged by Mann-Kendall test.The application can effectively identify the repeatability quality defects and process drift in wind power assembly, improve assembly quality consistency.

A network device includes control logic coupled to a receiver. The control logic detects an synchronization packet received via the receiver from a second network device over a network that is precision time protocol unaware. The control logic determines that a portion of the synchronization packet is asserted, indicating that the synchronization packet has incurred congestion traversing the network. The control logic adjusts, based on an assertion of the portion, a weight applied to timestamps associated with sending and receiving the synchronization packet in performing clock synchronization with the second network device.

The present disclosure describes a system, and a method to improve the system performance through hardware offload of a Best Master Clock Algorithm (BMCA). The system comprising at least one hardware entity integrated with a primary BMCA. The at least one hardware entity is configured to receive a plurality of Precision Time Protocol (PTP) masters from a plurality of PTP master clocks. Thereafter, the at least one hardware entity is configured to select a PTP master as a best PTP master from the plurality of PTP masters using the primary BMCA in the at least one hardware entity and transmit the best PTP master to a second entity for synchronizing a slave clock.

The invention discloses a method for smoothly switching a clock input source, an electronic device and a storage medium, and the method comprises the steps: selecting a precision time protocol (PTP) input source according to initial configuration, and carrying out the time synchronization; judging whether the pulse signal of the PTP input source within T time is normal or not; if the pulse signal of the PTP input source in the T time is normal, locking the PTP input source; and dynamically adjusting an OCXO (Oven Control Crystal Oscillator) input source according to the PTP timestamp of the PTP input source so as to carry out calibration, so that the pulse signal of the OCXO input source follows the pulse signal of the PTP input source.

The invention discloses a networking delay dynamic sensing and intelligent compensation method for a distributed test system. According to the method, a technical system of'high-precision perception-intelligent prediction-dynamic compensation-robust guarantee 'is constructed aiming at the networking delay and time variation problem caused by fixed delay, variable delay and system-level errors in a distributed test system; a subnanosecond clock synchronization reference is established through an IEEE 1588 (PTP) precision time protocol; unidirectional delay accurate measurement is realized based on a PTP delay request-response mechanism; modeling and predicting the delay time sequence by adopting an ARIMA (Autoregressive Integrated Moving Average) model, and sending an instruction in advance through dynamic forward compensation so as to achieve a quasi-synchronization test; and the test continuity and the precision controllability when the network state dramatically changes are ensured by combining the self-adaptive model updating and abnormal backspacing mechanism. According to the method, the time sequence synchronization precision and the environmental adaptability of the distributed test system are remarkably improved, and the technical problem that a traditional method is difficult to deal with delay jitter and dynamic change is solved.

The present invention discloses a method and system for measuring the shortest two-way delay link of a time-sensitive communication network, belonging to the field of 5G communication technology. The time-sensitive communication network includes a plurality of communication terminals, a plurality of switches for realizing information transmission between different communication terminals, and a plurality of communication links composed of the plurality of communication terminals and the plurality of switches; wherein the plurality of communication terminals and the plurality of switches all have the time synchronization characteristics of the time-sensitive communication network, and time synchronization is realized by the generalized precise time protocol gPTP in the 802.1AS standard. The present invention can measure the time symmetry of the two-way link delay, and can use a genetic algorithm to measure the optimal sending and response links that meet the 802.1Qat protocol before the data traffic is sent. By improving the genetic algorithm, the efficiency of iterative convergence is improved.

In general, certain embodiments described herein relate to a method for managing timing in a system. The method includes synchronizing a first TS of a global timekeeper with a global TS of a global positioning system (GPS) satellite. The method then transmits a first timestamp at a first point of time from the global timekeeper to a primary baseboard management controller (BMC). The primary BMC includes a second TS and the first timestamp is transmitted using precision time protocol (PTP). The primary BMC and the global timekeeper exchange three other timestamps which the primary BMC uses to calculate an offset time between the first TS and the second TS. The primary BMC then synchronizes the second TS with the first TS using the offset time.

The application discloses a kind of multi-modal wearable sensor data fusion-oriented timing synchronization method, system, terminal and storage medium, the method includes: obtaining absolute timestamp as global clock source;Global clock source is as the master clock of precision time protocol, a plurality of wearable sensors are configured as slave clock, through precision time protocol, multiple rounds of message interaction are performed between master clock and slave clock, and the timestamp corresponding to each round of interaction is obtained;According to the corresponding timestamp, the current path delay and the current clock offset are calculated, and according to the preset path delay threshold and clock offset threshold, the current path delay and the current clock offset are iteratively judged, whether the local clock is corrected according to the current clock offset is determined according to the iterative judgment result, until slave clock and global clock source achieve timing synchronization;After achieving time synchronization, the periodic data sampling tasks of a plurality of wearable sensors are phase-aligned.The application significantly improves timing synchronization accuracy.

The invention discloses an edge device communication method and system based on a private communication protocol, and relates to the technical field of Internet of Things communication, and the method comprises the steps: building a real-time communication link between an edge device and a server side based on the private communication protocol; based on a precise time protocol, performing clock synchronization calibration on the edge device and the server side; preprocessing the original time sequence data based on the sliding window, and performing timestamp marking and data encapsulation to obtain encapsulated data; based on the real-time communication link, sending the packaged data to a server side by adopting a data frame format of a private protocol, so that the server side performs data integrity verification, consistency verification and data processing on the packaged data to obtain a data processing result; and receiving a data processing result pushed by the server through the real-time communication link, and maintaining the real-time communication link based on the data processing result. According to the invention, the technical problems of high synchronization delay and resource waste in the prior art are relieved.

Disclosed is a system and a method (400) for managing transmission of Precision Time Protocol (PTP) packets in a communication network. The method comprises receiving (402), at a boundary clock router, the PTP packets from a backhaul network. Further, a forwardable multicast Media Access Control (MAC) address is configured (404) at a combo cell and the boundary clock router. Further, the method comprises establishing (406) a PTP session between the boundary clock router and the combo cell based on the forwardable multicast MAC address configured at the combo cell. Thereafter, the received PTP packets are transmitted to the combo cell using the established PTP session.

Some embodiments provide a method that receives a piece of network data. Based on a set of values in a set of headers of the piece of network data, the method determines whether the piece of network data is precision time protocol (PTP) network data and a particular port in the set of ports of the network device through which the piece of network data is to be forwarded. Based on the particular port, the method determines a port profile from a set of port profiles. Based on a value of the field in the port profile and the determination of whether the piece of network data is PTP network data, the method determines whether to bypass a set of data security operations on the piece of network data. The method transmits the piece of network data through the particular port of the network device.

The application discloses a kind of methods and systems for fault root cause positioning of server cluster, it is related to network fault diagnosis technical field;The present application realizes microservice call chain, container index, nanosecond level synchronous collection of physical node and network data by precise time protocol, constructs consistent data set after entity association and standardization processing;Based on this, service-resource topology graph is dynamically constructed, and the inter-service call edge weight model is innovatively designed: the real-time load factor is fused, and the historical fault index attenuation and processed by Sigmoid function are superposed, and the weight is periodically updated to accurately quantify the influence strength between nodes;Topology graph is converted into Bayesian network;When fault occurs, three-stage pipeline is used to compress alarm, frequent item set is mined by bitmap index and parallel FP-Growth, and strong causal association item set is screened by combining topology edge weight and KL divergence;Strong causal alarm is taken as evidence, and probabilistic root cause ranking is output by reverse random walk sampling, to realize high-precision positioning of complex distributed system fault.

The apparatus includes a memory configured to store security information, and at least one processing core, configured to generate the security information by defining a security policy concerning user plane transfer of precision time protocol messages, and to instruct at least one network node to implement the security policy by transmitting the security information to the at least one network node.

The invention belongs to the field of precise time synchronization, and discloses a precise time protocol-based time synchronization method and a related system, which adopt a timestamp calculation mechanism between a master node and a slave node in the traditional PTP and introduce a multi-message sampling and normalized clustering analysis mechanism. Through extraction, calculation and normalization of sending and receiving timestamps in a plurality of message sampling periods, time deviation fluctuation caused by network jitter, asynchronous delay, random message congestion and other factors can be effectively eliminated, so that clock synchronization is more stable and accurate. According to the method, on the basis of calculating the clock skew and the link transmission delay, K-means residual error clustering optimization is further introduced. By grouping and clustering the time offset or the link delay data, abnormal deviation data and network burst delay data can be automatically identified, so that the robustness of synchronization parameter estimation is 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.

Disclosed in the present application are an information processing method and apparatus, and a first device, a second device, a storage medium and a computer program product. The method comprises: a first device generating a first message and a second message on the basis of a first clock, and sending the first message and the second message to a second device, wherein the first message is associated with a third clock, and the second message is associated with a fourth clock; alternatively, acquiring a satellite time reference source signal, using the satellite time reference source signal to determine a second clock, generating a third message on the basis of the second clock, and sending the third message to the second device, wherein the third message is associated with the fourth clock, the third clock comes from the satellite time reference source signal, and the fourth clock comes from a precise time protocol (PTP) signal; acquiring first information from the second device, wherein the first information represents the difference between the third clock and the fourth clock; and using the first information to determine second information, wherein the second information represents the accuracy of the difference.