67 results about "Precision Time Protocol" patented technology

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 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 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.

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.

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 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.

Certain aspects and features of the present disclosure relate to a method and / or a system that reduces interference in the operation of multiple radio frequency identification (RFID) readers in proximity to each other. The method uses network time resources available to all RFID readers in a group of readers to schedule frequency channel usage. Centralized control signaling is not required. Readers run a channel hop schedule based on system clocks that are universally synchronized using network time resources, and readers can determine how the other readers are sequencing in frequency by independently accessing or determining information about the other RFID readers in the group.

The invention discloses a metro train speed measurement system, speed measurement equipment and speed measurement method based on multi-source information, and the metro train speed measurement system comprises a trackside sensing layer which comprises N microwave sensors which are linearly deployed along a single-side track at a fixed interval D and cover an interval needing to be monitored; the synchronization and data transmission layer comprises a master clock and a slave clock based on an IEEE1588 precision time protocol, and the master clock is synchronously deployed in the central processing module, provides a transmission channel with determined bounded delay for phase data and has link redundancy capability; according to a vehicle-mounted self-consistent observation source, auxiliary observation units based on a visual odometer are deployed at the head and the tail of each train, and the visual reckoning speed of the train is obtained through image sequence analysis; and the central processing module is used for extracting a rigid translation speed by constructing a space-time matrix, separating deformation and vibration from the rigid translation speed, calculating the moment when each bogie passes through each microwave sensor by tracking the form of components in the space-time matrix, and then outputting a final speed of comprehensive confidence through speed cross validation.

A communication apparatus, which includes a plurality of communication control units each including a hardware clock, determines an adjustment parameter value to adjust a time of the hardware clock in a first communication control unit of the plurality of communication control units, where the first communication control unit is configured to communicate with a time distribution server. Based on a precision time protocol (PTP), the communication apparatus adjusts the time of the hardware clock in the first communication control unit using the adjustment parameter value, and adjusts a time of the hardware clock in at least one second communication control unit of the plurality of communication control units, using the adjustment parameter value, the first communication control unit being different from the second communication control unit.

A communication apparatus connected to a first another communication apparatus is configured to: obtain a sending time of a time synchronization packet for performing time synchronization processing in accordance with precision time protocol (PTP), sent from a second another communication apparatus connected to the first another communication apparatus, in the second another communication apparatus; obtain a reception time of the time synchronization packet in the communication apparatus; and calculate a residence time of the time synchronization packet in the first another communication apparatus using the sending time and the reception time in a case where the first another communication apparatus functions as an apparatus operating as a repeater that sends a packet received from the communication apparatus or the second another communication apparatus without applying certain processing to the packet.

The application relates to the technical field of industrial smart grid, and discloses a device clock calibration method and device based on a protocol conversion gateway and equipment, the method comprises the following steps: a protocol conversion gateway receives a reference time value of a master clock through a precision time protocol interface; a preset mapping table is inquired according to the identification of a target device to obtain a communication protocol type and a time data address, so as to obtain a local clock value of the target device; the deviation between the local clock value and the reference time value is calculated to obtain a time offset; the time offset is converted into a corresponding clock adjustment instruction based on the communication protocol type and is issued to calibrate the clock of the target device. The protocol conversion gateway and the built-in mapping table are arranged in the embodiment, high-precision and unified clock calibration of heterogeneous devices with different communication protocols in a light storage and charging integrated power station is realized, and a reliable time reference is provided for multi-source data fusion and collaborative control of the light storage and charging integrated power station.

A method and apparatus for enhancing precision time protocol (PTP) timestamp precision using a machine learning (ML) circuit with aid of feature-and-model pre-selection (FMPS) and parameter pre-tuning (PPT) are provided. The apparatus includes a communication circuit, for performing communication operations for an electronic device, and the ML circuit, for performing time calculation for the communication circuit. The communication circuit includes a PTP timestamp generation circuit, for generating at least one timestamp in at least one packet; and the ML circuit includes a pre-selected model running on the ML circuit, the pre-selected model arranged to obtain a set of pre-selected features from the communication circuit, and convert the set of pre-selected features into at least one time calculation result according to a set of pre-tuned parameters, to allow the PTP timestamp generation circuit to generate the at least one timestamp according to the at least one time calculation result.

A clock determining method includes: when both a second network device and a first network device are synchronous with a reference clock, simulating, by using delay information between the second network device and the first network device and clock frequency information of the second network device, a second virtual clock synchronized with a first virtual clock, where the first virtual clock is used to simulate a clock of the first network device. A clock of the second network device can thus be simulated to perform a subsequent operation by using the simulated clock. For example, the simulated clock may be used to estimate precision time protocol (PTP) message synchronization performance of the second network device. Therefore, the PTP message synchronization performance of the second network device may be pre-determined before a global navigation satellite system (GNSS) fails, to guide network operation and maintenance activities.

The present disclosure relates to a method, a computing device and a storage medium for synchronizing time of a plurality of time domains, the method comprising: a step of transmitting, by a Precision Time Protocol (PTP) layer of the master node, a reference time pointed by a hardware clock of the master node to a Precision Time Protocol (PTP) layer of the slave node; a step of synchronizing, by the Precision Time Protocol (PTP) layer of the slave node, a hardware clock of the slave node to the reference time pointed by the hardware clock of the master node; a step of transmitting, by an offset value clock layer of the master node, an offset value (θ1) of a first time domain of the plurality of time domains to an offset value clock layer of the slave node; and a step of applying, by the Precision Time Protocol (PTP) layer of the slave node, the offset value (θ1) of the first time domain transmitted to the offset value clock layer of the slave node to the reference time pointed by the hardware clock of the slave node and thereby obtaining time of the first time domain.

Some methods for triggering a camera in an autonomous vehicle (AV). These methods include receiving, with a programmable circuit, universal precision time protocol (gPTP) information, the gPTP information for synchronizing the programmable circuit with a gPTP master clock (GM); generating, with a programmable circuit, a pulse per second (PPS) signal having a period of one second based on the gPTP time information; generating, using a programmable circuit, a synchronization signal having a period smaller than that of the PPS signal; generating, using a programmable circuit, a trigger signal based on the PPS signal, in which the cycle of the trigger signal is the same as the cycle of the synchronization signal; and transmitting, with the programmable circuit, a trigger signal to one or more cameras of the AV for triggering the one or more cameras to capture the one or more images. A system and a computer program product are also provided.